diff --git a/packages/python/plotly/_plotly_utils/basevalidators.py b/packages/python/plotly/_plotly_utils/basevalidators.py
index 452164bd2cd..4004ce738b6 100644
--- a/packages/python/plotly/_plotly_utils/basevalidators.py
+++ b/packages/python/plotly/_plotly_utils/basevalidators.py
@@ -35,8 +35,8 @@ def to_scalar_or_list(v):
     # Python native scalar type ('float' in the example above).
     # We explicitly check if is has the 'item' method, which conventionally
     # converts these types to native scalars.
-    np = get_module("numpy")
-    pd = get_module("pandas")
+    np = get_module("numpy", should_load=False)
+    pd = get_module("pandas", should_load=False)
     if np and np.isscalar(v) and hasattr(v, "item"):
         return v.item()
     if isinstance(v, (list, tuple)):
@@ -74,7 +74,9 @@ def copy_to_readonly_numpy_array(v, kind=None, force_numeric=False):
         Numpy array with the 'WRITEABLE' flag set to False
     """
     np = get_module("numpy")
-    pd = get_module("pandas")
+
+    # Don't force pandas to be loaded, we only want to know if it's already loaded
+    pd = get_module("pandas", should_load=False)
     assert np is not None
 
     # ### Process kind ###
@@ -166,8 +168,8 @@ def is_homogeneous_array(v):
     """
     Return whether a value is considered to be a homogeneous array
     """
-    np = get_module("numpy")
-    pd = get_module("pandas")
+    np = get_module("numpy", should_load=False)
+    pd = get_module("pandas", should_load=False)
     if (
         np
         and isinstance(v, np.ndarray)
@@ -2455,6 +2457,10 @@ def validate_coerce(self, v, skip_invalid=False):
         v._plotly_name = self.plotly_name
         return v
 
+    def present(self, v):
+        # Return compound object as-is
+        return v
+
 
 class TitleValidator(CompoundValidator):
     """
@@ -2549,6 +2555,10 @@ def validate_coerce(self, v, skip_invalid=False):
 
         return v
 
+    def present(self, v):
+        # Return compound object as tuple
+        return tuple(v)
+
 
 class BaseDataValidator(BaseValidator):
     def __init__(
@@ -2559,7 +2569,7 @@ def __init__(
         )
 
         self.class_strs_map = class_strs_map
-        self._class_map = None
+        self._class_map = {}
         self.set_uid = set_uid
 
     def description(self):
@@ -2595,21 +2605,17 @@ def description(self):
 
         return desc
 
-    @property
-    def class_map(self):
-        if self._class_map is None:
-
-            # Initialize class map
-            self._class_map = {}
-
-            # Import trace classes
+    def get_trace_class(self, trace_name):
+        # Import trace classes
+        if trace_name not in self._class_map:
             trace_module = import_module("plotly.graph_objs")
-            for k, class_str in self.class_strs_map.items():
-                self._class_map[k] = getattr(trace_module, class_str)
+            trace_class_name = self.class_strs_map[trace_name]
+            self._class_map[trace_name] = getattr(trace_module, trace_class_name)
 
-        return self._class_map
+        return self._class_map[trace_name]
 
     def validate_coerce(self, v, skip_invalid=False):
+        from plotly.basedatatypes import BaseTraceType
 
         # Import Histogram2dcontour, this is the deprecated name of the
         # Histogram2dContour trace.
@@ -2621,13 +2627,11 @@ def validate_coerce(self, v, skip_invalid=False):
             if not isinstance(v, (list, tuple)):
                 v = [v]
 
-            trace_classes = tuple(self.class_map.values())
-
             res = []
             invalid_els = []
             for v_el in v:
 
-                if isinstance(v_el, trace_classes):
+                if isinstance(v_el, BaseTraceType):
                     # Clone input traces
                     v_el = v_el.to_plotly_json()
 
@@ -2641,10 +2645,10 @@ def validate_coerce(self, v, skip_invalid=False):
                     else:
                         trace_type = "scatter"
 
-                    if trace_type not in self.class_map:
+                    if trace_type not in self.class_strs_map:
                         if skip_invalid:
                             # Treat as scatter trace
-                            trace = self.class_map["scatter"](
+                            trace = self.get_trace_class("scatter")(
                                 skip_invalid=skip_invalid, **v_copy
                             )
                             res.append(trace)
@@ -2652,14 +2656,14 @@ def validate_coerce(self, v, skip_invalid=False):
                             res.append(None)
                             invalid_els.append(v_el)
                     else:
-                        trace = self.class_map[trace_type](
+                        trace = self.get_trace_class(trace_type)(
                             skip_invalid=skip_invalid, **v_copy
                         )
                         res.append(trace)
                 else:
                     if skip_invalid:
                         # Add empty scatter trace
-                        trace = self.class_map["scatter"]()
+                        trace = self.get_trace_class("scatter")()
                         res.append(trace)
                     else:
                         res.append(None)
diff --git a/packages/python/plotly/_plotly_utils/importers.py b/packages/python/plotly/_plotly_utils/importers.py
new file mode 100644
index 00000000000..20c77c1c843
--- /dev/null
+++ b/packages/python/plotly/_plotly_utils/importers.py
@@ -0,0 +1,50 @@
+import importlib
+
+
+def relative_import(parent_name, rel_modules=(), rel_classes=()):
+    """
+    Helper function to import submodules lazily in Python 3.7+
+
+    Parameters
+    ----------
+    rel_modules: list of str
+        list of submodules to import, of the form .submodule
+    rel_classes: list of str
+        list of submodule classes/variables to import, of the form ._submodule.Foo
+
+    Returns
+    -------
+    tuple
+        Tuple that should be assigned to __all__, __getattr__ in the caller
+    """
+    module_names = {rel_module.split(".")[-1]: rel_module for rel_module in rel_modules}
+    class_names = {rel_path.split(".")[-1]: rel_path for rel_path in rel_classes}
+
+    def __getattr__(import_name):
+        # In Python 3.7+, lazy import submodules
+
+        # Check for submodule
+        if import_name in module_names:
+            rel_import = module_names[import_name]
+            return importlib.import_module(rel_import, parent_name)
+
+        # Check for submodule class
+        if import_name in class_names:
+            rel_path_parts = class_names[import_name].split(".")
+            rel_module = ".".join(rel_path_parts[:-1])
+            class_name = import_name
+            class_module = importlib.import_module(rel_module, parent_name)
+            return getattr(class_module, class_name)
+
+        raise AttributeError(
+            "module {__name__!r} has no attribute {name!r}".format(
+                name=import_name, __name__=parent_name
+            )
+        )
+
+    __all__ = list(module_names) + list(class_names)
+
+    def __dir__():
+        return __all__
+
+    return __all__, __getattr__, __dir__
diff --git a/packages/python/plotly/_plotly_utils/optional_imports.py b/packages/python/plotly/_plotly_utils/optional_imports.py
index c36e0197b69..e76eab95f1c 100644
--- a/packages/python/plotly/_plotly_utils/optional_imports.py
+++ b/packages/python/plotly/_plotly_utils/optional_imports.py
@@ -12,7 +12,7 @@
 _not_importable = set()
 
 
-def get_module(name):
+def get_module(name, should_load=True):
     """
     Return module or None. Absolute import is required.
 
@@ -23,6 +23,8 @@ def get_module(name):
     """
     if name in sys.modules:
         return sys.modules[name]
+    if not should_load:
+        return None
     if name not in _not_importable:
         try:
             return import_module(name)
diff --git a/packages/python/plotly/_plotly_utils/utils.py b/packages/python/plotly/_plotly_utils/utils.py
index 86adad73099..c1ba92951da 100644
--- a/packages/python/plotly/_plotly_utils/utils.py
+++ b/packages/python/plotly/_plotly_utils/utils.py
@@ -147,7 +147,7 @@ def encode_as_sage(obj):
     @staticmethod
     def encode_as_pandas(obj):
         """Attempt to convert pandas.NaT"""
-        pandas = get_module("pandas")
+        pandas = get_module("pandas", should_load=False)
         if not pandas:
             raise NotEncodable
 
@@ -159,7 +159,7 @@ def encode_as_pandas(obj):
     @staticmethod
     def encode_as_numpy(obj):
         """Attempt to convert numpy.ma.core.masked"""
-        numpy = get_module("numpy")
+        numpy = get_module("numpy", should_load=False)
         if not numpy:
             raise NotEncodable
 
diff --git a/packages/python/plotly/codegen/__init__.py b/packages/python/plotly/codegen/__init__.py
index a50bacf0b38..8d5b9d0570e 100644
--- a/packages/python/plotly/codegen/__init__.py
+++ b/packages/python/plotly/codegen/__init__.py
@@ -1,4 +1,5 @@
 import json
+import os
 import os.path as opath
 import shutil
 import subprocess
@@ -17,6 +18,7 @@
     FrameNode,
     write_init_py,
     ElementDefaultsNode,
+    build_from_imports_py,
 )
 from codegen.validators import (
     write_validator_py,
@@ -190,14 +192,6 @@ def perform_codegen():
     # -------------------
     for node in all_compound_nodes:
         write_datatype_py(outdir, node)
-        alls.setdefault(node.path_parts, [])
-        alls[node.path_parts].extend(
-            c.name_datatype_class for c in node.child_compound_datatypes
-        )
-        if node.parent_path_parts == ():
-            # Add top-level classes to alls
-            alls.setdefault((), [])
-            alls[node.parent_path_parts].append(node.name_datatype_class)
 
     # ### Deprecated ###
     # These are deprecated legacy datatypes like graph_objs.Marker
@@ -219,20 +213,45 @@ def perform_codegen():
         layout_array_nodes,
     )
 
+    # Write validator __init__.py files
+    # ---------------------------------
+    # ### Write __init__.py files for each validator package ###
+    validator_rel_class_imports = {}
+    for node in all_datatype_nodes:
+        if node.is_mapped:
+            continue
+        key = node.parent_path_parts
+        validator_rel_class_imports.setdefault(key, []).append(
+            f"._{node.name_property}.{node.name_validator_class}"
+        )
+
+    # Add Data validator
+    root_validator_pairs = validator_rel_class_imports[()]
+    root_validator_pairs.append("._data.DataValidator")
+
+    # Output validator __init__.py files
+    validators_pkg = opath.join(outdir, "validators")
+    for path_parts, rel_classes in validator_rel_class_imports.items():
+        write_init_py(validators_pkg, path_parts, [], rel_classes)
+
     # Write datatype __init__.py files
     # --------------------------------
-    # ### Build mapping from parent package to datatype class ###
-    path_to_datatype_import_info = {}
+    datatype_rel_class_imports = {}
+    datatype_rel_module_imports = {}
+
     for node in all_compound_nodes:
         key = node.parent_path_parts
 
+        # class import
+        datatype_rel_class_imports.setdefault(key, []).append(
+            f"._{node.name_undercase}.{node.name_datatype_class}"
+        )
+
         # submodule import
         if node.child_compound_datatypes:
-
-            path_to_datatype_import_info.setdefault(key, []).append(
-                (f"plotly.graph_objs{node.parent_dotpath_str}", node.name_undercase)
+            datatype_rel_module_imports.setdefault(key, []).append(
+                f".{node.name_undercase}"
             )
-            alls[node.parent_path_parts].append(node.name_undercase)
 
     # ### Write plotly/graph_objs/graph_objs.py ###
     # This if for backward compatibility. It just imports everything from
@@ -240,33 +259,41 @@ def perform_codegen():
     write_graph_objs_graph_objs(outdir)
 
     # ### Add Figure and FigureWidget ###
-    root_datatype_imports = path_to_datatype_import_info[()]
-    root_datatype_imports.append(("._figure", "Figure"))
-    alls[()].append("Figure")
+    root_datatype_imports = datatype_rel_class_imports[()]
+    root_datatype_imports.append("._figure.Figure")
 
     # ### Add deprecations ###
-    root_datatype_imports.append(("._deprecations", DEPRECATED_DATATYPES.keys()))
-    alls[()].extend(DEPRECATED_DATATYPES.keys())
-
-    # Sort alls
-    for k, v in alls.items():
-        alls[k] = list(sorted(v))
+    for dep_clas in DEPRECATED_DATATYPES:
+        root_datatype_imports.append(f"._deprecations.{dep_clas}")
 
+    validate_import = "from .._validate import validate\n"
     optional_figure_widget_import = f"""
-__all__ = {alls[()]}
-try:
-    import ipywidgets
-    from distutils.version import LooseVersion
-    if LooseVersion(ipywidgets.__version__) >= LooseVersion('7.0.0'):
-        from ._figurewidget import FigureWidget
-        __all__.append("FigureWidget")
-    del LooseVersion
-    del ipywidgets
-except ImportError:
-    pass
+if sys.version_info < (3, 7):
+    try:
+        import ipywidgets
+        from distutils.version import LooseVersion
+        if LooseVersion(ipywidgets.__version__) >= LooseVersion('7.0.0'):
+            from ..graph_objs._figurewidget import FigureWidget
+        del LooseVersion
+        del ipywidgets
+    except ImportError:
+        pass
+else:
+    __all__.append("FigureWidget")
+    orig_getattr = __getattr__
+    def __getattr__(import_name):
+        if import_name == "FigureWidget":
+            try:
+                import ipywidgets
+                from distutils.version import LooseVersion
+                if LooseVersion(ipywidgets.__version__) >= LooseVersion('7.0.0'):
+                    from ..graph_objs._figurewidget import FigureWidget
+                    return FigureWidget
+            except ImportError:
+                    pass
+        
+        return orig_getattr(import_name)
 """
-    root_datatype_imports.append(optional_figure_widget_import)
-
     # ### __all__ ###
     for path_parts, class_names in alls.items():
         if path_parts and class_names:
@@ -276,18 +303,34 @@ def perform_codegen():
 
     # ### Output datatype __init__.py files ###
     graph_objs_pkg = opath.join(outdir, "graph_objs")
-    for path_parts, import_pairs in path_to_datatype_import_info.items():
-        write_init_py(graph_objs_pkg, path_parts, import_pairs)
+    for path_parts in datatype_rel_class_imports:
+        rel_classes = datatype_rel_class_imports[path_parts]
+        rel_modules = datatype_rel_module_imports.get(path_parts, [])
+        if path_parts == ():
+            init_extra = validate_import + optional_figure_widget_import
+        else:
+            init_extra = ""
+        write_init_py(graph_objs_pkg, path_parts, rel_modules, rel_classes, init_extra)
 
     # ### Output graph_objects.py alias
-    graph_objects_path = opath.join(outdir, "graph_objects.py")
+    graph_objects_rel_classes = [
+        "..graph_objs." + rel_path.split(".")[-1]
+        for rel_path in datatype_rel_class_imports[()]
+    ]
+    graph_objects_rel_modules = [
+        "..graph_objs." + rel_module.split(".")[-1]
+        for rel_module in datatype_rel_module_imports[()]
+    ]
+
+    graph_objects_init_source = build_from_imports_py(
+        graph_objects_rel_modules,
+        graph_objects_rel_classes,
+        init_extra=validate_import + optional_figure_widget_import,
+    )
+    graph_objects_path = opath.join(outdir, "graph_objects", "__init__.py")
+    os.makedirs(opath.join(outdir, "graph_objects"), exist_ok=True)
     with open(graph_objects_path, "wt") as f:
-        f.write(
-            f"""\
-from __future__ import absolute_import
-from plotly.graph_objs import *
-__all__ = {alls[()]}"""
-        )
+        f.write(graph_objects_init_source)
 
     # ### Run black code formatter on output directories ###
     subprocess.call(["black", "--target-version=py27", validators_pkgdir])
diff --git a/packages/python/plotly/codegen/datatypes.py b/packages/python/plotly/codegen/datatypes.py
index fa25dae0027..35495d609a9 100644
--- a/packages/python/plotly/codegen/datatypes.py
+++ b/packages/python/plotly/codegen/datatypes.py
@@ -153,10 +153,22 @@ def _subplot_re_match(self, prop):
 """
         )
 
-    # ### Property definitions ###
     child_datatype_nodes = node.child_datatypes
-
     subtype_nodes = child_datatype_nodes
+    valid_props_list = sorted(
+        [node.name_property for node in subtype_nodes + literal_nodes]
+    )
+    buffer.write(
+        f"""
+    # class properties
+    # --------------------
+    _parent_path_str = '{node.parent_path_str}'
+    _path_str = '{node.path_str}'
+    _valid_props = {{"{'", "'.join(valid_props_list)}"}}
+"""
+    )
+
+    # ### Property definitions ###
     for subtype_node in subtype_nodes:
         if subtype_node.is_array_element:
             prop_type = (
@@ -243,15 +255,9 @@ def {literal_node.name_property}(self):
         )
 
     # ### Private properties descriptions ###
+    valid_props = {node.name_property for node in subtype_nodes}
     buffer.write(
         f"""
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return '{node.parent_path_str}'
-
     # Self properties description
     # ---------------------------
     @property
@@ -309,6 +315,23 @@ def __init__(self"""
         f"""
         super({datatype_class}, self).__init__('{node.name_property}')
 
+        if '_parent' in kwargs:
+            self._parent = kwargs['_parent']
+            return
+"""
+    )
+
+    if datatype_class == "Layout":
+        buffer.write(
+            f"""
+        # Override _valid_props for instance so that instance can mutate set
+        # to support subplot properties (e.g. xaxis2)
+        self._valid_props = {{"{'", "'.join(valid_props_list)}"}}
+"""
+        )
+
+    buffer.write(
+        f"""
         # Validate arg
         # ------------
         if arg is None:
@@ -326,23 +349,8 @@ def __init__(self"""
         # Handle skip_invalid
         # -------------------
         self._skip_invalid = kwargs.pop('skip_invalid', False)
-        
-        # Import validators
-        # -----------------
-        from plotly.validators{node.parent_dotpath_str} import (
-            {undercase} as v_{undercase}) 
-
-        # Initialize validators
-        # ---------------------"""
+        """
     )
-    for subtype_node in subtype_nodes:
-        if not subtype_node.is_mapped:
-            sub_name = subtype_node.name_property
-            sub_validator = subtype_node.name_validator_class
-            buffer.write(
-                f"""
-        self._validators['{sub_name}'] = v_{undercase}.{sub_validator}()"""
-            )
 
     buffer.write(
         f"""
@@ -352,27 +360,13 @@ def __init__(self"""
     )
     for subtype_node in subtype_nodes:
         name_prop = subtype_node.name_property
-        if name_prop == "template" or subtype_node.is_mapped:
-            # Special handling for layout.template to avoid infinite
-            # recursion.  Only initialize layout.template object if non-None
-            # value specified.
-            #
-            # Same special handling for mapped nodes (e.g. layout.titlefont)
-            # to keep them for overriding mapped property with None
-            buffer.write(
-                f"""
+        buffer.write(
+            f"""
         _v = arg.pop('{name_prop}', None)
         _v = {name_prop} if {name_prop} is not None else _v
         if _v is not None:
             self['{name_prop}'] = _v"""
-            )
-        else:
-            buffer.write(
-                f"""
-        _v = arg.pop('{name_prop}', None)
-        self['{name_prop}'] = {name_prop} \
-if {name_prop} is not None else _v"""
-            )
+        )
 
     # ### Literals ###
     if literal_nodes:
@@ -381,18 +375,14 @@ def __init__(self"""
 
         # Read-only literals
         # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator"""
+"""
         )
         for literal_node in literal_nodes:
             lit_name = literal_node.name_property
-            lit_parent = literal_node.parent_path_str
             lit_val = repr(literal_node.node_data)
             buffer.write(
                 f"""
         self._props['{lit_name}'] = {lit_val}
-        self._validators['{lit_name}'] =\
-LiteralValidator(plotly_name='{lit_name}',\
-    parent_name='{lit_parent}', val={lit_val})
         arg.pop('{lit_name}', None)"""
             )
 
@@ -609,7 +599,10 @@ def write_datatype_py(outdir, node):
 
     # Build file path
     # ---------------
-    filepath = opath.join(outdir, "graph_objs", *node.parent_path_parts, "__init__.py")
+    # filepath = opath.join(outdir, "graph_objs", *node.parent_path_parts, "__init__.py")
+    filepath = opath.join(
+        outdir, "graph_objs", *node.parent_path_parts, "_" + node.name_undercase + ".py"
+    )
 
     # Generate source code
     # --------------------
@@ -617,5 +610,4 @@ def write_datatype_py(outdir, node):
 
     # Write file
     # ----------
-
     write_source_py(datatype_source, filepath, leading_newlines=2)
diff --git a/packages/python/plotly/codegen/figure.py b/packages/python/plotly/codegen/figure.py
index 14ef22faf08..bf466d06d3a 100644
--- a/packages/python/plotly/codegen/figure.py
+++ b/packages/python/plotly/codegen/figure.py
@@ -69,12 +69,6 @@ def build_figure_py(
     # ### Import base class ###
     buffer.write(f"from plotly.{base_package} import {base_classname}\n")
 
-    # ### Import trace graph_obj classes / layout ###
-    trace_types_csv = ", ".join(
-        [n.name_datatype_class for n in trace_nodes] + ["layout as _layout"]
-    )
-    buffer.write(f"from plotly.graph_objs import ({trace_types_csv})\n")
-
     # Write class definition
     # ----------------------
     buffer.write(
@@ -192,6 +186,7 @@ def add_{trace_node.plotly_name}(self"""
         # #### Function body ####
         buffer.write(
             f"""
+        from plotly.graph_objs import {trace_node.name_datatype_class}
         new_trace = {trace_node.name_datatype_class}(
         """
         )
@@ -571,6 +566,7 @@ def add_{method_prefix}{singular_name}(self"""
         # #### Function body ####
         buffer.write(
             f"""
+        from plotly.graph_objs import layout as _layout
         new_obj = _layout.{node.name_datatype_class}(arg,
             """
         )
diff --git a/packages/python/plotly/codegen/utils.py b/packages/python/plotly/codegen/utils.py
index 9c000fa70b0..6791cd07912 100644
--- a/packages/python/plotly/codegen/utils.py
+++ b/packages/python/plotly/codegen/utils.py
@@ -42,46 +42,55 @@ def write_source_py(py_source, filepath, leading_newlines=0):
             f.write(py_source)
 
 
-def build_from_imports_py(imports_info):
+def build_from_imports_py(rel_modules=(), rel_classes=(), init_extra=""):
     """
     Build a string containing a series of `from X import Y` lines
 
     Parameters
     ----------
-    imports_info : str or list of (str, str or list of str)
-          List of import info
-            If element is a pair first entry is the package to be imported
-            from and the second entry is either a string of the single name
-            to be
-
-            If element is a string, insert string directly
+    rel_modules: list of str
+        list of submodules to import, of the form .submodule
+    rel_classes: list of str
+        list of submodule classes/variables to import, of the form ._submodule.Foo
+    init_extra: str
+        Extra code snippet to append to end of __init__.py file
     Returns
     -------
     str
         String containing a series of imports
     """
-    buffer = StringIO()
-    for import_info in imports_info:
-
-        if isinstance(import_info, tuple):
-            from_pkg, class_name = import_info
-            if isinstance(class_name, str):
-                class_name_str = class_name
-            else:
-                class_name_str = "(" + ", ".join(class_name) + ")"
-
-            buffer.write(
-                f"""\
-from {from_pkg} import {class_name_str}\n"""
-            )
 
-        elif isinstance(import_info, str):
-            buffer.write(import_info)
-
-    return buffer.getvalue()
+    rel_modules = list(rel_modules)
+    rel_classes = list(rel_classes)
+
+    import_lines = []
+    for rel in rel_classes + rel_modules:
+        rel_parts = rel.split(".")
+        parent_module = ".".join(rel_parts[:-1]) or "."
+        import_target = rel_parts[-1]
+        import_line = f"from {parent_module} import {import_target}"
+        import_lines.append(import_line)
+
+    imports_str = "\n    ".join(import_lines)
+
+    result = f"""\
+import sys
+if sys.version_info < (3, 7):
+    {imports_str}
+else:
+    from _plotly_utils.importers import relative_import
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        {repr(rel_modules)},
+        {repr(rel_classes)}
+    )
+
+{init_extra}
+"""
+    return result
 
 
-def write_init_py(pkg_root, path_parts, import_pairs):
+def write_init_py(pkg_root, path_parts, rel_modules=(), rel_classes=(), init_extra=""):
     """
     Build __init__.py source code and write to a file
 
@@ -93,22 +102,24 @@ def write_init_py(pkg_root, path_parts, import_pairs):
     path_parts : tuple of str
         Tuple of sub-packages under pkg_root where the __init__.py
         file should be written
-    import_pairs : list of (str, str or list of str)
-        List of pairs where first entry is the package to be imported from.
-        The second entry is either a string of the single name to be
-        imported, or a list of names to be imported.
+    rel_modules: list of str
+        list of submodules to import, of the form .submodule
+    rel_classes: list of str
+        list of submodule classes/variables to import, of the form ._submodule.Foo
+    init_extra: str
+        Extra code snippet to append to end of __init__.py file
     Returns
     -------
     None
     """
     # Generate source code
     # --------------------
-    init_source = build_from_imports_py(import_pairs)
+    init_source = build_from_imports_py(rel_modules, rel_classes, init_extra)
 
     # Write file
     # ----------
     filepath = opath.join(pkg_root, *path_parts, "__init__.py")
-    write_source_py(init_source, filepath, leading_newlines=2)
+    write_source_py(init_source, filepath)
 
 
 def format_description(desc):
@@ -411,11 +422,7 @@ def name_validator_class(self) -> str:
         -------
         str
         """
-        return (
-            self.name_datatype_class
-            + ("s" if self.is_array_element else "")
-            + "Validator"
-        )
+        return self.name_property.title() + "Validator"
 
     @property
     def name_base_validator(self) -> str:
diff --git a/packages/python/plotly/codegen/validators.py b/packages/python/plotly/codegen/validators.py
index 88d79db6487..5a433603fb5 100644
--- a/packages/python/plotly/codegen/validators.py
+++ b/packages/python/plotly/codegen/validators.py
@@ -107,7 +107,10 @@ def write_validator_py(outdir, node: PlotlyNode):
 
     # Write file
     # ----------
-    filepath = opath.join(outdir, "validators", *node.parent_path_parts, "__init__.py")
+    # filepath = opath.join(outdir, "validators", *node.parent_path_parts, "__init__.py")
+    filepath = opath.join(
+        outdir, "validators", *node.parent_path_parts, "_" + node.name_property + ".py"
+    )
 
     write_source_py(validator_source, filepath, leading_newlines=2)
 
@@ -259,5 +262,6 @@ def write_data_validator_py(outdir, base_trace_node: TraceNode):
 
     # Write file
     # ----------
-    filepath = opath.join(outdir, "validators", "__init__.py")
+    # filepath = opath.join(outdir, "validators", "__init__.py")
+    filepath = opath.join(outdir, "validators", "_data.py")
     write_source_py(source, filepath, leading_newlines=2)
diff --git a/packages/python/plotly/plotly/__init__.py b/packages/python/plotly/plotly/__init__.py
index c6a82afe4f0..727585c4fd6 100644
--- a/packages/python/plotly/plotly/__init__.py
+++ b/packages/python/plotly/plotly/__init__.py
@@ -26,20 +26,53 @@
 
 """
 from __future__ import absolute_import
+import sys
+from _plotly_utils.importers import relative_import
 
-from plotly import (
-    graph_objs,
-    tools,
-    utils,
-    offline,
-    colors,
-    io,
-    data,
-    colors,
-    _docstring_gen,
-)
-
-from plotly.version import __version__
-
-# Set default template here to make sure import process is complete
-io.templates._default = "plotly"
+
+if sys.version_info < (3, 7):
+    from plotly import (
+        graph_objs,
+        tools,
+        utils,
+        offline,
+        colors,
+        io,
+        data,
+        colors,
+    )
+    from plotly.version import __version__
+
+    __all__ = [
+        "graph_objs",
+        "tools",
+        "utils",
+        "offline",
+        "colors",
+        "io",
+        "data",
+        "colors",
+        "__version__",
+    ]
+
+    # Set default template (for >= 3.7 this is done in ploty/io/__init__.py)
+    from plotly.io import templates
+
+    templates._default = "plotly"
+else:
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [
+            ".graph_objs",
+            ".graph_objects",
+            ".tools",
+            ".utils",
+            ".offline",
+            ".colors",
+            ".io",
+            ".data",
+            ".colors",
+            ".express",
+        ],
+        [".version.__version__"],
+    )
diff --git a/packages/python/plotly/plotly/_docstring_gen.py b/packages/python/plotly/plotly/_docstring_gen.py
deleted file mode 100644
index b091d9973ea..00000000000
--- a/packages/python/plotly/plotly/_docstring_gen.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from __future__ import absolute_import
-import re as _re
-import plotly.io as pio
-from plotly.basedatatypes import BaseFigure
-import sys
-
-# Perform docstrings generation
-def copy_doc_without_fig(from_fn, to_method):
-    """
-    Copy docstring from a plotly.io function to a Figure method, removing the
-    fig argument docstring in the process
-    """
-    docstr = _re.sub(r" {4}fig:(?:.*?\n)*? {4}(\w+)", r"    \1", from_fn.__doc__)
-    if sys.version_info[0] < 3:
-        to_method.__func__.__doc__ = docstr
-    else:
-        to_method.__doc__ = docstr
-
-
-copy_doc_without_fig(pio.show, BaseFigure.show)
-copy_doc_without_fig(pio.to_json, BaseFigure.to_json)
-copy_doc_without_fig(pio.write_json, BaseFigure.write_json)
-copy_doc_without_fig(pio.to_html, BaseFigure.to_html)
-copy_doc_without_fig(pio.write_html, BaseFigure.write_html)
-copy_doc_without_fig(pio.to_image, BaseFigure.to_image)
-copy_doc_without_fig(pio.write_image, BaseFigure.write_image)
diff --git a/packages/python/plotly/plotly/_validate.py b/packages/python/plotly/plotly/_validate.py
new file mode 100644
index 00000000000..6a776075312
--- /dev/null
+++ b/packages/python/plotly/plotly/_validate.py
@@ -0,0 +1,12 @@
+class validate(object):
+    _should_validate = True
+
+    def __init__(self, should_validate):
+        self._old = validate._should_validate
+        validate._should_validate = should_validate
+
+    def __enter__(self):
+        pass
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        validate._should_validate = self._old
diff --git a/packages/python/plotly/plotly/basedatatypes.py b/packages/python/plotly/plotly/basedatatypes.py
index b5a4a749f17..9eb4ddce370 100644
--- a/packages/python/plotly/plotly/basedatatypes.py
+++ b/packages/python/plotly/plotly/basedatatypes.py
@@ -10,25 +10,9 @@
 from copy import deepcopy, copy
 
 from _plotly_utils.utils import _natural_sort_strings
-from plotly.subplots import (
-    _set_trace_grid_reference,
-    _get_grid_subplot,
-    _get_subplot_ref_for_trace,
-)
+from plotly._validate import validate
 from .optional_imports import get_module
 
-from _plotly_utils.basevalidators import (
-    CompoundValidator,
-    CompoundArrayValidator,
-    BaseDataValidator,
-    BaseValidator,
-    LiteralValidator,
-)
-from . import animation
-from .callbacks import Points, InputDeviceState
-from plotly.utils import ElidedPrettyPrinter
-from .validators import DataValidator, LayoutValidator, FramesValidator
-
 # Create Undefined sentinel value
 #   - Setting a property to None removes any existing value
 #   - Setting a property to Undefined leaves existing value unmodified
@@ -104,6 +88,8 @@ class is a subclass of both BaseFigure and widgets.DOMWidget.
             if a property in the specification of data, layout, or frames
             is invalid AND skip_invalid is False
         """
+        from .validators import DataValidator, LayoutValidator, FramesValidator
+
         super(BaseFigure, self).__init__()
 
         # Assign layout_plotly to layout
@@ -261,6 +247,8 @@ class is a subclass of both BaseFigure and widgets.DOMWidget.
 
         # Animation property validators
         # -----------------------------
+        from . import animation
+
         self._animation_duration_validator = animation.DurationValidator()
         self._animation_easing_validator = animation.EasingValidator()
 
@@ -768,6 +756,7 @@ def select_traces(self, selector=None, row=None, col=None, secondary_y=None):
         )
 
     def _perform_select_traces(self, filter_by_subplot, grid_subplot_refs, selector):
+        from plotly.subplots import _get_subplot_ref_for_trace
 
         for trace in self.data:
             # Filter by subplot
@@ -1799,6 +1788,8 @@ def append_trace(self, trace, row, col):
         self.add_trace(trace=trace, row=row, col=col)
 
     def _set_trace_grid_position(self, trace, row, col, secondary_y=False):
+        from plotly.subplots import _set_trace_grid_reference
+
         grid_ref = self._validate_get_grid_ref()
         return _set_trace_grid_reference(
             trace, self.layout, grid_ref, row, col, secondary_y
@@ -1854,6 +1845,8 @@ def get_subplot(self, row, col, secondary_y=False):
                 - xaxis: plotly.graph_objs.layout.XAxis instance for subplot
                 - yaxis: plotly.graph_objs.layout.YAxis instance for subplot
         """
+        from plotly.subplots import _get_grid_subplot
+
         return _get_grid_subplot(self, row, col, secondary_y)
 
     # Child property operations
@@ -1945,11 +1938,12 @@ def _init_child_props(self, child):
     def _initialize_layout_template(self):
         import plotly.io as pio
 
-        if self._layout_obj.template is None:
+        if self._layout_obj._props.get("template", None) is None:
             if pio.templates.default is not None:
-                self._layout_obj.template = pio.templates.default
-            else:
-                self._layout_obj.template = None
+                with validate(False):
+                    # Assume default template is already validated
+                    template_dict = pio.templates[pio.templates.default]
+                    self._layout_obj.template = template_dict
 
     @property
     def layout(self):
@@ -2789,36 +2783,394 @@ def to_ordered_dict(self, skip_uid=True):
     # -----------------
     # Note that docstrings are auto-generated in plotly/_docstring_gen.py
     def show(self, *args, **kwargs):
+        """
+        Show a figure using either the default renderer(s) or the renderer(s)
+        specified by the renderer argument
+
+        Parameters
+        ----------
+        renderer: str or None (default None)
+            A string containing the names of one or more registered renderers
+            (separated by '+' characters) or None.  If None, then the default
+            renderers specified in plotly.io.renderers.default are used.
+
+        validate: bool (default True)
+            True if the figure should be validated before being shown,
+            False otherwise.
+
+        Returns
+        -------
+        None
+        """
         import plotly.io as pio
 
         return pio.show(self, *args, **kwargs)
 
     def to_json(self, *args, **kwargs):
+        """
+        Convert a figure to a JSON string representation
+
+        Parameters
+        ----------
+        validate: bool (default True)
+            True if the figure should be validated before being converted to
+            JSON, False otherwise.
+
+        pretty: bool (default False)
+            True if JSON representation should be pretty-printed, False if
+            representation should be as compact as possible.
+
+        remove_uids: bool (default True)
+            True if trace UIDs should be omitted from the JSON representation
+
+        Returns
+        -------
+        str
+            Representation of figure as a JSON string
+        """
         import plotly.io as pio
 
         return pio.to_json(self, *args, **kwargs)
 
     def write_json(self, *args, **kwargs):
+        """
+        Convert a figure to JSON and write it to a file or writeable
+        object
+
+        Parameters
+        ----------
+        file: str or writeable
+            A string representing a local file path or a writeable object
+            (e.g. an open file descriptor)
+
+        pretty: bool (default False)
+            True if JSON representation should be pretty-printed, False if
+            representation should be as compact as possible.
+
+        remove_uids: bool (default True)
+            True if trace UIDs should be omitted from the JSON representation
+
+        Returns
+        -------
+        None
+        """
         import plotly.io as pio
 
         return pio.write_json(self, *args, **kwargs)
 
     def to_html(self, *args, **kwargs):
+        """
+        Convert a figure to an HTML string representation.
+
+        Parameters
+        ----------
+        config: dict or None (default None)
+            Plotly.js figure config options
+        auto_play: bool (default=True)
+            Whether to automatically start the animation sequence on page load
+            if the figure contains frames. Has no effect if the figure does not
+            contain frames.
+        include_plotlyjs: bool or string (default True)
+            Specifies how the plotly.js library is included/loaded in the output
+            div string.
+
+            If True, a script tag containing the plotly.js source code (~3MB)
+            is included in the output.  HTML files generated with this option are
+            fully self-contained and can be used offline.
+
+            If 'cdn', a script tag that references the plotly.js CDN is included
+            in the output. HTML files generated with this option are about 3MB
+            smaller than those generated with include_plotlyjs=True, but they
+            require an active internet connection in order to load the plotly.js
+            library.
+
+            If 'directory', a script tag is included that references an external
+            plotly.min.js bundle that is assumed to reside in the same
+            directory as the HTML file.
+
+            If 'require', Plotly.js is loaded using require.js.  This option
+            assumes that require.js is globally available and that it has been
+            globally configured to know how to find Plotly.js as 'plotly'.
+            This option is not advised when full_html=True as it will result
+            in a non-functional html file.
+
+            If a string that ends in '.js', a script tag is included that
+            references the specified path. This approach can be used to point
+            the resulting HTML file to an alternative CDN or local bundle.
+
+            If False, no script tag referencing plotly.js is included. This is
+            useful when the resulting div string will be placed inside an HTML
+            document that already loads plotly.js. This option is not advised
+            when full_html=True as it will result in a non-functional html file.
+        include_mathjax: bool or string (default False)
+            Specifies how the MathJax.js library is included in the output html
+            div string.  MathJax is required in order to display labels
+            with LaTeX typesetting.
+
+            If False, no script tag referencing MathJax.js will be included in the
+            output.
+
+            If 'cdn', a script tag that references a MathJax CDN location will be
+            included in the output.  HTML div strings generated with this option
+            will be able to display LaTeX typesetting as long as internet access
+            is available.
+
+            If a string that ends in '.js', a script tag is included that
+            references the specified path. This approach can be used to point the
+            resulting HTML div string to an alternative CDN.
+        post_script: str or list or None (default None)
+            JavaScript snippet(s) to be included in the resulting div just after
+            plot creation.  The string(s) may include '{plot_id}' placeholders
+            that will then be replaced by the `id` of the div element that the
+            plotly.js figure is associated with.  One application for this script
+            is to install custom plotly.js event handlers.
+        full_html: bool (default True)
+            If True, produce a string containing a complete HTML document
+            starting with an <html> tag.  If False, produce a string containing
+            a single <div> element.
+        animation_opts: dict or None (default None)
+            dict of custom animation parameters to be passed to the function
+            Plotly.animate in Plotly.js. See
+            https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js
+            for available options. Has no effect if the figure does not contain
+            frames, or auto_play is False.
+        default_width, default_height: number or str (default '100%')
+            The default figure width/height to use if the provided figure does not
+            specify its own layout.width/layout.height property.  May be
+            specified in pixels as an integer (e.g. 500), or as a css width style
+            string (e.g. '500px', '100%').
+        validate: bool (default True)
+            True if the figure should be validated before being converted to
+            JSON, False otherwise.
+        Returns
+        -------
+        str
+            Representation of figure as an HTML div string
+        """
         import plotly.io as pio
 
         return pio.to_html(self, *args, **kwargs)
 
     def write_html(self, *args, **kwargs):
+        """
+        Write a figure to an HTML file representation
+
+        Parameters
+        ----------
+        file: str or writeable
+            A string representing a local file path or a writeable object
+            (e.g. an open file descriptor)
+        config: dict or None (default None)
+            Plotly.js figure config options
+        auto_play: bool (default=True)
+            Whether to automatically start the animation sequence on page load
+            if the figure contains frames. Has no effect if the figure does not
+            contain frames.
+        include_plotlyjs: bool or string (default True)
+            Specifies how the plotly.js library is included/loaded in the output
+            div string.
+
+            If True, a script tag containing the plotly.js source code (~3MB)
+            is included in the output.  HTML files generated with this option are
+            fully self-contained and can be used offline.
+
+            If 'cdn', a script tag that references the plotly.js CDN is included
+            in the output. HTML files generated with this option are about 3MB
+            smaller than those generated with include_plotlyjs=True, but they
+            require an active internet connection in order to load the plotly.js
+            library.
+
+            If 'directory', a script tag is included that references an external
+            plotly.min.js bundle that is assumed to reside in the same
+            directory as the HTML file. If `file` is a string to a local file path
+            and `full_html` is True then
+
+            If 'directory', a script tag is included that references an external
+            plotly.min.js bundle that is assumed to reside in the same
+            directory as the HTML file.  If `file` is a string to a local file
+            path and `full_html` is True, then the plotly.min.js bundle is copied
+            into the directory of the resulting HTML file. If a file named
+            plotly.min.js already exists in the output directory then this file
+            is left unmodified and no copy is performed. HTML files generated
+            with this option can be used offline, but they require a copy of
+            the plotly.min.js bundle in the same directory. This option is
+            useful when many figures will be saved as HTML files in the same
+            directory because the plotly.js source code will be included only
+            once per output directory, rather than once per output file.
+
+            If 'require', Plotly.js is loaded using require.js.  This option
+            assumes that require.js is globally available and that it has been
+            globally configured to know how to find Plotly.js as 'plotly'.
+            This option is not advised when full_html=True as it will result
+            in a non-functional html file.
+
+            If a string that ends in '.js', a script tag is included that
+            references the specified path. This approach can be used to point
+            the resulting HTML file to an alternative CDN or local bundle.
+
+            If False, no script tag referencing plotly.js is included. This is
+            useful when the resulting div string will be placed inside an HTML
+            document that already loads plotly.js.  This option is not advised
+            when full_html=True as it will result in a non-functional html file.
+
+        include_mathjax: bool or string (default False)
+            Specifies how the MathJax.js library is included in the output html
+            div string.  MathJax is required in order to display labels
+            with LaTeX typesetting.
+
+            If False, no script tag referencing MathJax.js will be included in the
+            output.
+
+            If 'cdn', a script tag that references a MathJax CDN location will be
+            included in the output.  HTML div strings generated with this option
+            will be able to display LaTeX typesetting as long as internet access
+            is available.
+
+            If a string that ends in '.js', a script tag is included that
+            references the specified path. This approach can be used to point the
+            resulting HTML div string to an alternative CDN.
+        post_script: str or list or None (default None)
+            JavaScript snippet(s) to be included in the resulting div just after
+            plot creation.  The string(s) may include '{plot_id}' placeholders
+            that will then be replaced by the `id` of the div element that the
+            plotly.js figure is associated with.  One application for this script
+            is to install custom plotly.js event handlers.
+        full_html: bool (default True)
+            If True, produce a string containing a complete HTML document
+            starting with an <html> tag.  If False, produce a string containing
+            a single <div> element.
+        animation_opts: dict or None (default None)
+            dict of custom animation parameters to be passed to the function
+            Plotly.animate in Plotly.js. See
+            https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js
+            for available options. Has no effect if the figure does not contain
+            frames, or auto_play is False.
+        default_width, default_height: number or str (default '100%')
+            The default figure width/height to use if the provided figure does not
+            specify its own layout.width/layout.height property.  May be
+            specified in pixels as an integer (e.g. 500), or as a css width style
+            string (e.g. '500px', '100%').
+        validate: bool (default True)
+            True if the figure should be validated before being converted to
+            JSON, False otherwise.
+        auto_open: bool (default True
+            If True, open the saved file in a web browser after saving.
+            This argument only applies if `full_html` is True.
+        Returns
+        -------
+        str
+            Representation of figure as an HTML div string
+        """
         import plotly.io as pio
 
         return pio.write_html(self, *args, **kwargs)
 
     def to_image(self, *args, **kwargs):
+        """
+        Convert a figure to a static image bytes string
+
+        Parameters
+        ----------
+        format: str or None
+            The desired image format. One of
+              - 'png'
+              - 'jpg' or 'jpeg'
+              - 'webp'
+              - 'svg'
+              - 'pdf'
+              - 'eps' (Requires the poppler library to be installed)
+
+            If not specified, will default to `plotly.io.config.default_format`
+
+        width: int or None
+            The width of the exported image in layout pixels. If the `scale`
+            property is 1.0, this will also be the width of the exported image
+            in physical pixels.
+
+            If not specified, will default to `plotly.io.config.default_width`
+
+        height: int or None
+            The height of the exported image in layout pixels. If the `scale`
+            property is 1.0, this will also be the height of the exported image
+            in physical pixels.
+
+            If not specified, will default to `plotly.io.config.default_height`
+
+        scale: int or float or None
+            The scale factor to use when exporting the figure. A scale factor
+            larger than 1.0 will increase the image resolution with respect
+            to the figure's layout pixel dimensions. Whereas as scale factor of
+            less than 1.0 will decrease the image resolution.
+
+            If not specified, will default to `plotly.io.config.default_scale`
+
+        validate: bool
+            True if the figure should be validated before being converted to
+            an image, False otherwise.
+
+        Returns
+        -------
+        bytes
+            The image data
+        """
         import plotly.io as pio
 
         return pio.to_image(self, *args, **kwargs)
 
     def write_image(self, *args, **kwargs):
+        """
+        Convert a figure to a static image and write it to a file or writeable
+        object
+
+        Parameters
+        ----------
+        file: str or writeable
+            A string representing a local file path or a writeable object
+            (e.g. an open file descriptor)
+
+        format: str or None
+            The desired image format. One of
+              - 'png'
+              - 'jpg' or 'jpeg'
+              - 'webp'
+              - 'svg'
+              - 'pdf'
+              - 'eps' (Requires the poppler library to be installed)
+
+            If not specified and `file` is a string then this will default to the
+            file extension. If not specified and `file` is not a string then this
+            will default to `plotly.io.config.default_format`
+
+        width: int or None
+            The width of the exported image in layout pixels. If the `scale`
+            property is 1.0, this will also be the width of the exported image
+            in physical pixels.
+
+            If not specified, will default to `plotly.io.config.default_width`
+
+        height: int or None
+            The height of the exported image in layout pixels. If the `scale`
+            property is 1.0, this will also be the height of the exported image
+            in physical pixels.
+
+            If not specified, will default to `plotly.io.config.default_height`
+
+        scale: int or float or None
+            The scale factor to use when exporting the figure. A scale factor
+            larger than 1.0 will increase the image resolution with respect
+            to the figure's layout pixel dimensions. Whereas as scale factor of
+            less than 1.0 will decrease the image resolution.
+
+            If not specified, will default to `plotly.io.config.default_scale`
+
+        validate: bool
+            True if the figure should be validated before being converted to
+            an image, False otherwise.
+
+        Returns
+        -------
+        None
+        """
         import plotly.io as pio
 
         return pio.write_image(self, *args, **kwargs)
@@ -2850,6 +3202,10 @@ def _perform_update(plotly_obj, update_obj, overwrite=False):
             :class:`BasePlotlyType`, ``update_obj`` should be a tuple or list
             of dicts
         """
+        from _plotly_utils.basevalidators import (
+            CompoundValidator,
+            CompoundArrayValidator,
+        )
 
         if update_obj is None:
             # Nothing to do
@@ -2963,6 +3319,10 @@ class BasePlotlyType(object):
     # of relative path to new property (e.g. ('title', 'font')
     _mapped_properties = {}
 
+    _parent_path_str = ""
+    _path_str = ""
+    _valid_props = set()
+
     def __init__(self, plotly_name, **kwargs):
         """
         Construct a new BasePlotlyType
@@ -2989,10 +3349,6 @@ def __init__(self, plotly_name, **kwargs):
 
         # Initialize properties
         # ---------------------
-        # ### _validators ###
-        # A dict from property names to property validators
-        self._validators = {}
-
         # ### _compound_props ###
         # A dict from compound property names to compound objects
         self._compound_props = {}
@@ -3019,6 +3375,47 @@ def __init__(self, plotly_name, **kwargs):
         # properties is modified
         self._change_callbacks = {}
 
+        # ### Backing property for backward compatible _validator property ##
+        self.__validators = None
+
+    def _get_validator(self, prop):
+        from .validator_cache import ValidatorCache
+
+        return ValidatorCache.get_validator(self._path_str, prop)
+
+    @property
+    def _validators(self):
+        """
+        Validators used to be stored in a private _validators property. This was
+        eliminated when we switched to building validators on demand using the
+        _get_validator method.
+
+        This property returns a simple object that
+
+        Returns
+        -------
+        dict-like interface for accessing the object's validators
+        """
+        obj = self
+        if self.__validators is None:
+
+            class ValidatorCompat(object):
+                def __getitem__(self, item):
+                    return obj._get_validator(item)
+
+                def __contains__(self, item):
+                    return obj.__contains__(item)
+
+                def __iter__(self):
+                    return iter(obj)
+
+                def items(self):
+                    return [(k, self[k]) for k in self]
+
+            self.__validators = ValidatorCompat()
+
+        return self.__validators
+
     def _process_kwargs(self, **kwargs):
         """
         Process any extra kwargs that are not predefined as constructor params
@@ -3028,6 +3425,9 @@ def _process_kwargs(self, **kwargs):
             if k in self:
                 # e.g. underscore kwargs like marker_line_color
                 self[k] = v
+            elif not validate._should_validate:
+                # Set extra property as-is
+                self[k] = v
             else:
                 invalid_kwargs[k] = v
 
@@ -3045,30 +3445,6 @@ def plotly_name(self):
         """
         return self._plotly_name
 
-    @property
-    def _parent_path_str(self):
-        """
-        dot-separated path string to this object's parent.
-
-        Returns
-        -------
-        str
-
-        Examples
-        --------
-
-        >>> import plotly.graph_objs as go
-        >>> go.Layout()._parent_path_str
-        ''
-
-        >>> go.layout.XAxis()._parent_path_str
-        'layout'
-
-        >>> go.layout.xaxis.rangeselector.Button()._parent_path_str
-        'layout.xaxis.rangeselector'
-        """
-        raise NotImplementedError
-
     @property
     def _prop_descriptions(self):
         """
@@ -3122,21 +3498,30 @@ def _get_child_props(self, child):
             return None
         else:
             # ### Child a compound property ###
-            if child.plotly_name in self._compound_props:
-                return self._props.get(child.plotly_name, None)
+            if child.plotly_name in self:
+                from _plotly_utils.basevalidators import (
+                    CompoundValidator,
+                    CompoundArrayValidator,
+                )
 
-            # ### Child an element of a compound array property ###
-            elif child.plotly_name in self._compound_array_props:
-                children = self._compound_array_props[child.plotly_name]
-                child_ind = BaseFigure._index_is(children, child)
-                assert child_ind is not None
+                validator = self._get_validator(child.plotly_name)
 
-                children_props = self._props.get(child.plotly_name, None)
-                return (
-                    children_props[child_ind]
-                    if children_props is not None and len(children_props) > child_ind
-                    else None
-                )
+                if isinstance(validator, CompoundValidator):
+                    return self._props.get(child.plotly_name, None)
+
+                # ### Child an element of a compound array property ###
+                elif isinstance(validator, CompoundArrayValidator):
+                    children = self[child.plotly_name]
+                    child_ind = BaseFigure._index_is(children, child)
+                    assert child_ind is not None
+
+                    children_props = self._props.get(child.plotly_name, None)
+                    return (
+                        children_props[child_ind]
+                        if children_props is not None
+                        and len(children_props) > child_ind
+                        else None
+                    )
 
             # ### Invalid child ###
             else:
@@ -3282,7 +3667,7 @@ def _get_prop_validator(self, prop):
 
         # Return validator
         # ----------------
-        return plotly_obj._validators[prop]
+        return plotly_obj._get_validator(prop)
 
     @property
     def parent(self):
@@ -3344,6 +3729,11 @@ def __getitem__(self, prop):
         -------
         Any
         """
+        from _plotly_utils.basevalidators import (
+            CompoundValidator,
+            CompoundArrayValidator,
+            BaseDataValidator,
+        )
 
         # Normalize prop
         # --------------
@@ -3361,13 +3751,33 @@ def __getitem__(self, prop):
         if len(prop) == 1:
             # Unwrap scalar tuple
             prop = prop[0]
-            if prop not in self._validators:
+            if prop not in self._valid_props:
                 raise KeyError(prop)
 
-            validator = self._validators[prop]
-            if prop in self._compound_props:
+            validator = self._get_validator(prop)
+
+            if isinstance(validator, CompoundValidator):
+                if self._compound_props.get(prop, None) is None:
+                    # Init compound objects
+                    self._compound_props[prop] = validator.data_class(
+                        _parent=self, plotly_name=prop
+                    )
+                    # Update plotly_name value in case the validator applies
+                    # non-standard name (e.g. imagedefaults instead of image)
+                    self._compound_props[prop]._plotly_name = prop
+
                 return validator.present(self._compound_props[prop])
-            elif prop in self._compound_array_props:
+            elif isinstance(validator, (CompoundArrayValidator, BaseDataValidator)):
+                if self._compound_array_props.get(prop, None) is None:
+                    # Init list of compound objects
+                    if self._props is not None:
+                        self._compound_array_props[prop] = [
+                            validator.data_class(_parent=self)
+                            for _ in self._props.get(prop, [])
+                        ]
+                    else:
+                        self._compound_array_props[prop] = []
+
                 return validator.present(self._compound_array_props[prop])
             elif self._props is not None and prop in self._props:
                 return validator.present(self._props[prop])
@@ -3422,7 +3832,7 @@ def __contains__(self, prop):
                 else:
                     return False
             else:
-                if obj is not None and p in obj._validators:
+                if obj is not None and p in obj._valid_props:
                     obj = obj[p]
                 else:
                     return False
@@ -3445,6 +3855,11 @@ def __setitem__(self, prop, value):
         -------
         None
         """
+        from _plotly_utils.basevalidators import (
+            CompoundValidator,
+            CompoundArrayValidator,
+            BaseDataValidator,
+        )
 
         # Normalize prop
         # --------------
@@ -3470,24 +3885,49 @@ def __setitem__(self, prop, value):
             # ### Unwrap scalar tuple ###
             prop = prop[0]
 
-            # ### Validate prop ###
-            if prop not in self._validators:
-                self._raise_on_invalid_property_error(prop)
+            if validate._should_validate:
+                if prop not in self._valid_props:
+                    self._raise_on_invalid_property_error(prop)
 
-            # ### Get validator for this property ###
-            validator = self._validators[prop]
+                # ### Get validator for this property ###
+                validator = self._get_validator(prop)
 
-            # ### Handle compound property ###
-            if isinstance(validator, CompoundValidator):
-                self._set_compound_prop(prop, value)
+                # ### Handle compound property ###
+                if isinstance(validator, CompoundValidator):
+                    self._set_compound_prop(prop, value)
 
-            # ### Handle compound array property ###
-            elif isinstance(validator, (CompoundArrayValidator, BaseDataValidator)):
-                self._set_array_prop(prop, value)
+                # ### Handle compound array property ###
+                elif isinstance(validator, (CompoundArrayValidator, BaseDataValidator)):
+                    self._set_array_prop(prop, value)
 
-            # ### Handle simple property ###
+                # ### Handle simple property ###
+                else:
+                    self._set_prop(prop, value)
             else:
-                self._set_prop(prop, value)
+                # Make sure properties dict is initialized
+                self._init_props()
+
+                if isinstance(value, BasePlotlyType):
+                    # Extract json from graph objects
+                    value = value.to_plotly_json()
+
+                # Check for list/tuple of graph objects
+                if (
+                    isinstance(value, (list, tuple))
+                    and value
+                    and isinstance(value[0], BasePlotlyType)
+                ):
+                    value = [
+                        v.to_plotly_json() if isinstance(v, BasePlotlyType) else v
+                        for v in value
+                    ]
+
+                self._props[prop] = value
+
+                # Remove any already constructed graph object so that it will be
+                # reconstructed on property access
+                self._compound_props.pop(prop, None)
+                self._compound_array_props.pop(prop, None)
 
         # Handle non-scalar case
         # ----------------------
@@ -3511,7 +3951,7 @@ def __setattr__(self, prop, value):
         -------
         None
         """
-        if prop.startswith("_") or hasattr(self, prop) or prop in self._validators:
+        if prop.startswith("_") or hasattr(self, prop) or prop in self._valid_props:
             # Let known properties and private properties through
             super(BasePlotlyType, self).__setattr__(prop, value)
         else:
@@ -3522,7 +3962,7 @@ def __iter__(self):
         """
         Return an iterator over the object's properties
         """
-        res = list(self._validators.keys())
+        res = list(self._valid_props)
         for prop in self._mapped_properties:
             res.append(prop)
         return iter(res)
@@ -3575,6 +4015,8 @@ def _build_repr_for_class(props, class_name, parent_path_str=None):
         str
             The representation string
         """
+        from plotly.utils import ElidedPrettyPrinter
+
         if parent_path_str:
             class_name = parent_path_str + "." + class_name
 
@@ -3597,6 +4039,7 @@ def __repr__(self):
         Customize object representation when displayed in the
         terminal/notebook
         """
+        from _plotly_utils.basevalidators import LiteralValidator
 
         # Get all properties
         props = self._props if self._props is not None else {}
@@ -3605,8 +4048,8 @@ def __repr__(self):
         props = {
             p: v
             for p, v in props.items()
-            if p in self._validators
-            and not isinstance(self._validators[p], LiteralValidator)
+            if p in self._valid_props
+            and not isinstance(self._get_validator(p), LiteralValidator)
         }
 
         # Elide template
@@ -3767,7 +4210,8 @@ def _set_prop(self, prop, val):
 
         # Import value
         # ------------
-        validator = self._validators.get(prop)
+        validator = self._get_validator(prop)
+
         try:
             val = validator.validate_coerce(val)
         except ValueError as err:
@@ -3832,7 +4276,7 @@ def _set_compound_prop(self, prop, val):
 
         # Import value
         # ------------
-        validator = self._validators.get(prop)
+        validator = self._get_validator(prop)
         val = validator.validate_coerce(val, skip_invalid=self._skip_invalid)
 
         # Save deep copies of current and new states
@@ -3906,7 +4350,7 @@ def _set_array_prop(self, prop, val):
 
         # Import value
         # ------------
-        validator = self._validators.get(prop)
+        validator = self._get_validator(prop)
         val = validator.validate_coerce(val, skip_invalid=self._skip_invalid)
 
         # Save deep copies of current and new states
@@ -4179,7 +4623,7 @@ def _vals_equal(v1, v2):
         bool
             True if v1 and v2 are equal, False otherwise
         """
-        np = get_module("numpy")
+        np = get_module("numpy", should_load=False)
         if np is not None and (
             isinstance(v1, np.ndarray) or isinstance(v2, np.ndarray)
         ):
@@ -4331,10 +4775,8 @@ def _set_subplotid_prop(self, prop, value):
 
         # Construct and add validator
         # ---------------------------
-        if prop not in self._validators:
-            validator_class = self._subplotid_validators[subplot_prop]
-            validator = validator_class(plotly_name=prop)
-            self._validators[prop] = validator
+        if prop not in self._valid_props:
+            self._valid_props.add(prop)
 
         # Import value
         # ------------
@@ -4395,7 +4837,7 @@ def __getattr__(self, prop):
         """
         prop = self._strip_subplot_suffix_of_1(prop)
         if prop != "_subplotid_props" and prop in self._subplotid_props:
-            validator = self._validators[prop]
+            validator = self._get_validator(prop)
             return validator.present(self._compound_props[prop])
         else:
             return super(BaseLayoutHierarchyType, self).__getattribute__(prop)
diff --git a/packages/python/plotly/plotly/graph_objects.py b/packages/python/plotly/plotly/graph_objects.py
deleted file mode 100644
index c63c2a376d2..00000000000
--- a/packages/python/plotly/plotly/graph_objects.py
+++ /dev/null
@@ -1,128 +0,0 @@
-from __future__ import absolute_import
-from plotly.graph_objs import *
-
-__all__ = [
-    "AngularAxis",
-    "Annotation",
-    "Annotations",
-    "Area",
-    "Bar",
-    "Barpolar",
-    "Box",
-    "Candlestick",
-    "Carpet",
-    "Choropleth",
-    "Choroplethmapbox",
-    "ColorBar",
-    "Cone",
-    "Contour",
-    "Contourcarpet",
-    "Contours",
-    "Data",
-    "Densitymapbox",
-    "ErrorX",
-    "ErrorY",
-    "ErrorZ",
-    "Figure",
-    "Font",
-    "Frame",
-    "Frames",
-    "Funnel",
-    "Funnelarea",
-    "Heatmap",
-    "Heatmapgl",
-    "Histogram",
-    "Histogram2d",
-    "Histogram2dContour",
-    "Histogram2dcontour",
-    "Image",
-    "Indicator",
-    "Isosurface",
-    "Layout",
-    "Legend",
-    "Line",
-    "Margin",
-    "Marker",
-    "Mesh3d",
-    "Ohlc",
-    "Parcats",
-    "Parcoords",
-    "Pie",
-    "Pointcloud",
-    "RadialAxis",
-    "Sankey",
-    "Scatter",
-    "Scatter3d",
-    "Scattercarpet",
-    "Scattergeo",
-    "Scattergl",
-    "Scattermapbox",
-    "Scatterpolar",
-    "Scatterpolargl",
-    "Scatterternary",
-    "Scene",
-    "Splom",
-    "Stream",
-    "Streamtube",
-    "Sunburst",
-    "Surface",
-    "Table",
-    "Trace",
-    "Treemap",
-    "Violin",
-    "Volume",
-    "Waterfall",
-    "XAxis",
-    "XBins",
-    "YAxis",
-    "YBins",
-    "ZAxis",
-    "area",
-    "bar",
-    "barpolar",
-    "box",
-    "candlestick",
-    "carpet",
-    "choropleth",
-    "choroplethmapbox",
-    "cone",
-    "contour",
-    "contourcarpet",
-    "densitymapbox",
-    "funnel",
-    "funnelarea",
-    "heatmap",
-    "heatmapgl",
-    "histogram",
-    "histogram2d",
-    "histogram2dcontour",
-    "image",
-    "indicator",
-    "isosurface",
-    "layout",
-    "mesh3d",
-    "ohlc",
-    "parcats",
-    "parcoords",
-    "pie",
-    "pointcloud",
-    "sankey",
-    "scatter",
-    "scatter3d",
-    "scattercarpet",
-    "scattergeo",
-    "scattergl",
-    "scattermapbox",
-    "scatterpolar",
-    "scatterpolargl",
-    "scatterternary",
-    "splom",
-    "streamtube",
-    "sunburst",
-    "surface",
-    "table",
-    "treemap",
-    "violin",
-    "volume",
-    "waterfall",
-]
diff --git a/packages/python/plotly/plotly/graph_objects/__init__.py b/packages/python/plotly/plotly/graph_objects/__init__.py
new file mode 100644
index 00000000000..6935730d4c6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objects/__init__.py
@@ -0,0 +1,291 @@
+import sys
+
+if sys.version_info < (3, 7):
+    from ..graph_objs import Waterfall
+    from ..graph_objs import Volume
+    from ..graph_objs import Violin
+    from ..graph_objs import Treemap
+    from ..graph_objs import Table
+    from ..graph_objs import Surface
+    from ..graph_objs import Sunburst
+    from ..graph_objs import Streamtube
+    from ..graph_objs import Splom
+    from ..graph_objs import Scatterternary
+    from ..graph_objs import Scatterpolargl
+    from ..graph_objs import Scatterpolar
+    from ..graph_objs import Scattermapbox
+    from ..graph_objs import Scattergl
+    from ..graph_objs import Scattergeo
+    from ..graph_objs import Scattercarpet
+    from ..graph_objs import Scatter3d
+    from ..graph_objs import Scatter
+    from ..graph_objs import Sankey
+    from ..graph_objs import Pointcloud
+    from ..graph_objs import Pie
+    from ..graph_objs import Parcoords
+    from ..graph_objs import Parcats
+    from ..graph_objs import Ohlc
+    from ..graph_objs import Mesh3d
+    from ..graph_objs import Isosurface
+    from ..graph_objs import Indicator
+    from ..graph_objs import Image
+    from ..graph_objs import Histogram2dContour
+    from ..graph_objs import Histogram2d
+    from ..graph_objs import Histogram
+    from ..graph_objs import Heatmapgl
+    from ..graph_objs import Heatmap
+    from ..graph_objs import Funnelarea
+    from ..graph_objs import Funnel
+    from ..graph_objs import Densitymapbox
+    from ..graph_objs import Contourcarpet
+    from ..graph_objs import Contour
+    from ..graph_objs import Cone
+    from ..graph_objs import Choroplethmapbox
+    from ..graph_objs import Choropleth
+    from ..graph_objs import Carpet
+    from ..graph_objs import Candlestick
+    from ..graph_objs import Box
+    from ..graph_objs import Barpolar
+    from ..graph_objs import Bar
+    from ..graph_objs import Area
+    from ..graph_objs import Layout
+    from ..graph_objs import Frame
+    from ..graph_objs import Figure
+    from ..graph_objs import Data
+    from ..graph_objs import Annotations
+    from ..graph_objs import Frames
+    from ..graph_objs import AngularAxis
+    from ..graph_objs import Annotation
+    from ..graph_objs import ColorBar
+    from ..graph_objs import Contours
+    from ..graph_objs import ErrorX
+    from ..graph_objs import ErrorY
+    from ..graph_objs import ErrorZ
+    from ..graph_objs import Font
+    from ..graph_objs import Legend
+    from ..graph_objs import Line
+    from ..graph_objs import Margin
+    from ..graph_objs import Marker
+    from ..graph_objs import RadialAxis
+    from ..graph_objs import Scene
+    from ..graph_objs import Stream
+    from ..graph_objs import XAxis
+    from ..graph_objs import YAxis
+    from ..graph_objs import ZAxis
+    from ..graph_objs import XBins
+    from ..graph_objs import YBins
+    from ..graph_objs import Trace
+    from ..graph_objs import Histogram2dcontour
+    from ..graph_objs import waterfall
+    from ..graph_objs import volume
+    from ..graph_objs import violin
+    from ..graph_objs import treemap
+    from ..graph_objs import table
+    from ..graph_objs import surface
+    from ..graph_objs import sunburst
+    from ..graph_objs import streamtube
+    from ..graph_objs import splom
+    from ..graph_objs import scatterternary
+    from ..graph_objs import scatterpolargl
+    from ..graph_objs import scatterpolar
+    from ..graph_objs import scattermapbox
+    from ..graph_objs import scattergl
+    from ..graph_objs import scattergeo
+    from ..graph_objs import scattercarpet
+    from ..graph_objs import scatter3d
+    from ..graph_objs import scatter
+    from ..graph_objs import sankey
+    from ..graph_objs import pointcloud
+    from ..graph_objs import pie
+    from ..graph_objs import parcoords
+    from ..graph_objs import parcats
+    from ..graph_objs import ohlc
+    from ..graph_objs import mesh3d
+    from ..graph_objs import isosurface
+    from ..graph_objs import indicator
+    from ..graph_objs import image
+    from ..graph_objs import histogram2dcontour
+    from ..graph_objs import histogram2d
+    from ..graph_objs import histogram
+    from ..graph_objs import heatmapgl
+    from ..graph_objs import heatmap
+    from ..graph_objs import funnelarea
+    from ..graph_objs import funnel
+    from ..graph_objs import densitymapbox
+    from ..graph_objs import contourcarpet
+    from ..graph_objs import contour
+    from ..graph_objs import cone
+    from ..graph_objs import choroplethmapbox
+    from ..graph_objs import choropleth
+    from ..graph_objs import carpet
+    from ..graph_objs import candlestick
+    from ..graph_objs import box
+    from ..graph_objs import barpolar
+    from ..graph_objs import bar
+    from ..graph_objs import area
+    from ..graph_objs import layout
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [
+            "..graph_objs.waterfall",
+            "..graph_objs.volume",
+            "..graph_objs.violin",
+            "..graph_objs.treemap",
+            "..graph_objs.table",
+            "..graph_objs.surface",
+            "..graph_objs.sunburst",
+            "..graph_objs.streamtube",
+            "..graph_objs.splom",
+            "..graph_objs.scatterternary",
+            "..graph_objs.scatterpolargl",
+            "..graph_objs.scatterpolar",
+            "..graph_objs.scattermapbox",
+            "..graph_objs.scattergl",
+            "..graph_objs.scattergeo",
+            "..graph_objs.scattercarpet",
+            "..graph_objs.scatter3d",
+            "..graph_objs.scatter",
+            "..graph_objs.sankey",
+            "..graph_objs.pointcloud",
+            "..graph_objs.pie",
+            "..graph_objs.parcoords",
+            "..graph_objs.parcats",
+            "..graph_objs.ohlc",
+            "..graph_objs.mesh3d",
+            "..graph_objs.isosurface",
+            "..graph_objs.indicator",
+            "..graph_objs.image",
+            "..graph_objs.histogram2dcontour",
+            "..graph_objs.histogram2d",
+            "..graph_objs.histogram",
+            "..graph_objs.heatmapgl",
+            "..graph_objs.heatmap",
+            "..graph_objs.funnelarea",
+            "..graph_objs.funnel",
+            "..graph_objs.densitymapbox",
+            "..graph_objs.contourcarpet",
+            "..graph_objs.contour",
+            "..graph_objs.cone",
+            "..graph_objs.choroplethmapbox",
+            "..graph_objs.choropleth",
+            "..graph_objs.carpet",
+            "..graph_objs.candlestick",
+            "..graph_objs.box",
+            "..graph_objs.barpolar",
+            "..graph_objs.bar",
+            "..graph_objs.area",
+            "..graph_objs.layout",
+        ],
+        [
+            "..graph_objs.Waterfall",
+            "..graph_objs.Volume",
+            "..graph_objs.Violin",
+            "..graph_objs.Treemap",
+            "..graph_objs.Table",
+            "..graph_objs.Surface",
+            "..graph_objs.Sunburst",
+            "..graph_objs.Streamtube",
+            "..graph_objs.Splom",
+            "..graph_objs.Scatterternary",
+            "..graph_objs.Scatterpolargl",
+            "..graph_objs.Scatterpolar",
+            "..graph_objs.Scattermapbox",
+            "..graph_objs.Scattergl",
+            "..graph_objs.Scattergeo",
+            "..graph_objs.Scattercarpet",
+            "..graph_objs.Scatter3d",
+            "..graph_objs.Scatter",
+            "..graph_objs.Sankey",
+            "..graph_objs.Pointcloud",
+            "..graph_objs.Pie",
+            "..graph_objs.Parcoords",
+            "..graph_objs.Parcats",
+            "..graph_objs.Ohlc",
+            "..graph_objs.Mesh3d",
+            "..graph_objs.Isosurface",
+            "..graph_objs.Indicator",
+            "..graph_objs.Image",
+            "..graph_objs.Histogram2dContour",
+            "..graph_objs.Histogram2d",
+            "..graph_objs.Histogram",
+            "..graph_objs.Heatmapgl",
+            "..graph_objs.Heatmap",
+            "..graph_objs.Funnelarea",
+            "..graph_objs.Funnel",
+            "..graph_objs.Densitymapbox",
+            "..graph_objs.Contourcarpet",
+            "..graph_objs.Contour",
+            "..graph_objs.Cone",
+            "..graph_objs.Choroplethmapbox",
+            "..graph_objs.Choropleth",
+            "..graph_objs.Carpet",
+            "..graph_objs.Candlestick",
+            "..graph_objs.Box",
+            "..graph_objs.Barpolar",
+            "..graph_objs.Bar",
+            "..graph_objs.Area",
+            "..graph_objs.Layout",
+            "..graph_objs.Frame",
+            "..graph_objs.Figure",
+            "..graph_objs.Data",
+            "..graph_objs.Annotations",
+            "..graph_objs.Frames",
+            "..graph_objs.AngularAxis",
+            "..graph_objs.Annotation",
+            "..graph_objs.ColorBar",
+            "..graph_objs.Contours",
+            "..graph_objs.ErrorX",
+            "..graph_objs.ErrorY",
+            "..graph_objs.ErrorZ",
+            "..graph_objs.Font",
+            "..graph_objs.Legend",
+            "..graph_objs.Line",
+            "..graph_objs.Margin",
+            "..graph_objs.Marker",
+            "..graph_objs.RadialAxis",
+            "..graph_objs.Scene",
+            "..graph_objs.Stream",
+            "..graph_objs.XAxis",
+            "..graph_objs.YAxis",
+            "..graph_objs.ZAxis",
+            "..graph_objs.XBins",
+            "..graph_objs.YBins",
+            "..graph_objs.Trace",
+            "..graph_objs.Histogram2dcontour",
+        ],
+    )
+
+from .._validate import validate
+
+if sys.version_info < (3, 7):
+    try:
+        import ipywidgets
+        from distutils.version import LooseVersion
+
+        if LooseVersion(ipywidgets.__version__) >= LooseVersion("7.0.0"):
+            from ..graph_objs._figurewidget import FigureWidget
+        del LooseVersion
+        del ipywidgets
+    except ImportError:
+        pass
+else:
+    __all__.append("FigureWidget")
+    orig_getattr = __getattr__
+
+    def __getattr__(import_name):
+        if import_name == "FigureWidget":
+            try:
+                import ipywidgets
+                from distutils.version import LooseVersion
+
+                if LooseVersion(ipywidgets.__version__) >= LooseVersion("7.0.0"):
+                    from ..graph_objs._figurewidget import FigureWidget
+
+                    return FigureWidget
+            except ImportError:
+                pass
+
+        return orig_getattr(import_name)
diff --git a/packages/python/plotly/plotly/graph_objs/__init__.py b/packages/python/plotly/plotly/graph_objs/__init__.py
index cf7c5e0d63a..80648e0661e 100644
--- a/packages/python/plotly/plotly/graph_objs/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/__init__.py
@@ -1,101472 +1,291 @@
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Waterfall(_BaseTraceType):
-
-    # alignmentgroup
-    # --------------
-    @property
-    def alignmentgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same alignmentgroup. This controls whether bars
-        compute their positional range dependently or independently.
-    
-        The 'alignmentgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["alignmentgroup"]
-
-    @alignmentgroup.setter
-    def alignmentgroup(self, val):
-        self["alignmentgroup"] = val
-
-    # base
-    # ----
-    @property
-    def base(self):
-        """
-        Sets where the bar base is drawn (in position axis units).
-    
-        The 'base' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["base"]
-
-    @base.setter
-    def base(self, val):
-        self["base"] = val
-
-    # cliponaxis
-    # ----------
-    @property
-    def cliponaxis(self):
-        """
-        Determines whether the text nodes are clipped about the subplot
-        axes. To show the text nodes above axis lines and tick labels,
-        make sure to set `xaxis.layer` and `yaxis.layer` to *below
-        traces*.
-    
-        The 'cliponaxis' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cliponaxis"]
-
-    @cliponaxis.setter
-    def cliponaxis(self, val):
-        self["cliponaxis"] = val
-
-    # connector
-    # ---------
-    @property
-    def connector(self):
-        """
-        The 'connector' property is an instance of Connector
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Connector`
-          - A dict of string/value properties that will be passed
-            to the Connector constructor
-    
-            Supported dict properties:
-                
-                line
-                    :class:`plotly.graph_objects.waterfall.connecto
-                    r.Line` instance or dict with compatible
-                    properties
-                mode
-                    Sets the shape of connector lines.
-                visible
-                    Determines if connector lines are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Connector
-        """
-        return self["connector"]
-
-    @connector.setter
-    def connector(self, val):
-        self["connector"] = val
-
-    # constraintext
-    # -------------
-    @property
-    def constraintext(self):
-        """
-        Constrain the size of text inside or outside a bar to be no
-        larger than the bar itself.
-    
-        The 'constraintext' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'both', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constraintext"]
-
-    @constraintext.setter
-    def constraintext(self, val):
-        self["constraintext"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # decreasing
-    # ----------
-    @property
-    def decreasing(self):
-        """
-        The 'decreasing' property is an instance of Decreasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Decreasing`
-          - A dict of string/value properties that will be passed
-            to the Decreasing constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.waterfall.decreasi
-                    ng.Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Decreasing
-        """
-        return self["decreasing"]
-
-    @decreasing.setter
-    def decreasing(self, val):
-        self["decreasing"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['name', 'x', 'y', 'text', 'initial', 'delta', 'final'] joined with '+' characters
-            (e.g. 'name+x')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `initial`, `delta` and `final`. Anything contained in
-        tag `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # increasing
-    # ----------
-    @property
-    def increasing(self):
-        """
-        The 'increasing' property is an instance of Increasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Increasing`
-          - A dict of string/value properties that will be passed
-            to the Increasing constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.waterfall.increasi
-                    ng.Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Increasing
-        """
-        return self["increasing"]
-
-    @increasing.setter
-    def increasing(self, val):
-        self["increasing"] = val
-
-    # insidetextanchor
-    # ----------------
-    @property
-    def insidetextanchor(self):
-        """
-        Determines if texts are kept at center or start/end points in
-        `textposition` "inside" mode.
-    
-        The 'insidetextanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['end', 'middle', 'start']
-
-        Returns
-        -------
-        Any
-        """
-        return self["insidetextanchor"]
-
-    @insidetextanchor.setter
-    def insidetextanchor(self, val):
-        self["insidetextanchor"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `text` lying inside the bar.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # measure
-    # -------
-    @property
-    def measure(self):
-        """
-        An array containing types of values. By default the values are
-        considered as 'relative'. However; it is possible to use
-        'total' to compute the sums. Also 'absolute' could be applied
-        to reset the computed total or to declare an initial value
-        where needed.
-    
-        The 'measure' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["measure"]
-
-    @measure.setter
-    def measure(self, val):
-        self["measure"] = val
-
-    # measuresrc
-    # ----------
-    @property
-    def measuresrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  measure .
-    
-        The 'measuresrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["measuresrc"]
-
-    @measuresrc.setter
-    def measuresrc(self, val):
-        self["measuresrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        Shifts the position where the bar is drawn (in position axis
-        units). In "group" barmode, traces that set "offset" will be
-        excluded and drawn in "overlay" mode instead.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # offsetgroup
-    # -----------
-    @property
-    def offsetgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same offsetgroup where bars of the same position
-        coordinate will line up.
-    
-        The 'offsetgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetgroup"]
-
-    @offsetgroup.setter
-    def offsetgroup(self, val):
-        self["offsetgroup"] = val
-
-    # offsetsrc
-    # ---------
-    @property
-    def offsetsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  offset .
-    
-        The 'offsetsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetsrc"]
-
-    @offsetsrc.setter
-    def offsetsrc(self, val):
-        self["offsetsrc"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the bars. With "v" ("h"), the value of
-        the each bar spans along the vertical (horizontal).
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # outsidetextfont
-    # ---------------
-    @property
-    def outsidetextfont(self):
-        """
-        Sets the font used for `text` lying outside the bar.
-    
-        The 'outsidetextfont' property is an instance of Outsidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Outsidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Outsidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Outsidetextfont
-        """
-        return self["outsidetextfont"]
-
-    @outsidetextfont.setter
-    def outsidetextfont(self, val):
-        self["outsidetextfont"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textangle
-    # ---------
-    @property
-    def textangle(self):
-        """
-        Sets the angle of the tick labels with respect to the bar. For
-        example, a `tickangle` of -90 draws the tick labels vertically.
-        With "auto" the texts may automatically be rotated to fit with
-        the maximum size in bars.
-    
-        The 'textangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["textangle"]
-
-    @textangle.setter
-    def textangle(self, val):
-        self["textangle"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `text`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textinfo
-    # --------
-    @property
-    def textinfo(self):
-        """
-        Determines which trace information appear on the graph. In the
-        case of having multiple waterfalls, totals are computed
-        separately (per trace).
-    
-        The 'textinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'initial', 'delta', 'final'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["textinfo"]
-
-    @textinfo.setter
-    def textinfo(self, val):
-        self["textinfo"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Specifies the location of the `text`. "inside" positions `text`
-        inside, next to the bar end (rotated and scaled if needed).
-        "outside" positions `text` outside, next to the bar end (scaled
-        if needed), unless there is another bar stacked on this one,
-        then the text gets pushed inside. "auto" tries to position
-        `text` inside the bar, but if the bar is too small and no bar
-        is stacked on this one the text is moved outside.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'auto', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `initial`, `delta`, `final` and `label`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # totals
-    # ------
-    @property
-    def totals(self):
-        """
-        The 'totals' property is an instance of Totals
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.Totals`
-          - A dict of string/value properties that will be passed
-            to the Totals constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.waterfall.totals.M
-                    arker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.Totals
-        """
-        return self["totals"]
-
-    @totals.setter
-    def totals(self, val):
-        self["totals"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the bar width (in position axis units).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        base
-            Sets where the bar base is drawn (in position axis
-            units).
-        cliponaxis
-            Determines whether the text nodes are clipped about the
-            subplot axes. To show the text nodes above axis lines
-            and tick labels, make sure to set `xaxis.layer` and
-            `yaxis.layer` to *below traces*.
-        connector
-            :class:`plotly.graph_objects.waterfall.Connector`
-            instance or dict with compatible properties
-        constraintext
-            Constrain the size of text inside or outside a bar to
-            be no larger than the bar itself.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        decreasing
-            :class:`plotly.graph_objects.waterfall.Decreasing`
-            instance or dict with compatible properties
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.waterfall.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `initial`, `delta` and
-            `final`. Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        increasing
-            :class:`plotly.graph_objects.waterfall.Increasing`
-            instance or dict with compatible properties
-        insidetextanchor
-            Determines if texts are kept at center or start/end
-            points in `textposition` "inside" mode.
-        insidetextfont
-            Sets the font used for `text` lying inside the bar.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        measure
-            An array containing types of values. By default the
-            values are considered as 'relative'. However; it is
-            possible to use 'total' to compute the sums. Also
-            'absolute' could be applied to reset the computed total
-            or to declare an initial value where needed.
-        measuresrc
-            Sets the source reference on Chart Studio Cloud for
-            measure .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the position where the bar is drawn (in position
-            axis units). In "group" barmode, traces that set
-            "offset" will be excluded and drawn in "overlay" mode
-            instead.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        offsetsrc
-            Sets the source reference on Chart Studio Cloud for
-            offset .
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the bars. With "v" ("h"), the
-            value of the each bar spans along the vertical
-            (horizontal).
-        outsidetextfont
-            Sets the font used for `text` lying outside the bar.
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.waterfall.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textangle
-            Sets the angle of the tick labels with respect to the
-            bar. For example, a `tickangle` of -90 draws the tick
-            labels vertically. With "auto" the texts may
-            automatically be rotated to fit with the maximum size
-            in bars.
-        textfont
-            Sets the font used for `text`.
-        textinfo
-            Determines which trace information appear on the graph.
-            In the case of having multiple waterfalls, totals are
-            computed separately (per trace).
-        textposition
-            Specifies the location of the `text`. "inside"
-            positions `text` inside, next to the bar end (rotated
-            and scaled if needed). "outside" positions `text`
-            outside, next to the bar end (scaled if needed), unless
-            there is another bar stacked on this one, then the text
-            gets pushed inside. "auto" tries to position `text`
-            inside the bar, but if the bar is too small and no bar
-            is stacked on this one the text is moved outside.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `initial`,
-            `delta`, `final` and `label`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        totals
-            :class:`plotly.graph_objects.waterfall.Totals` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar width (in position axis units).
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alignmentgroup=None,
-        base=None,
-        cliponaxis=None,
-        connector=None,
-        constraintext=None,
-        customdata=None,
-        customdatasrc=None,
-        decreasing=None,
-        dx=None,
-        dy=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        increasing=None,
-        insidetextanchor=None,
-        insidetextfont=None,
-        legendgroup=None,
-        measure=None,
-        measuresrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        offset=None,
-        offsetgroup=None,
-        offsetsrc=None,
-        opacity=None,
-        orientation=None,
-        outsidetextfont=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textangle=None,
-        textfont=None,
-        textinfo=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        totals=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        width=None,
-        widthsrc=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Waterfall object
-        
-        Draws waterfall trace which is useful graph to displays the
-        contribution of various elements (either positive or negative)
-        in a bar chart. The data visualized by the span of the bars is
-        set in `y` if `orientation` is set th "v" (the default) and the
-        labels are set in `x`. By setting `orientation` to "h", the
-        roles are interchanged.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Waterfall`
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        base
-            Sets where the bar base is drawn (in position axis
-            units).
-        cliponaxis
-            Determines whether the text nodes are clipped about the
-            subplot axes. To show the text nodes above axis lines
-            and tick labels, make sure to set `xaxis.layer` and
-            `yaxis.layer` to *below traces*.
-        connector
-            :class:`plotly.graph_objects.waterfall.Connector`
-            instance or dict with compatible properties
-        constraintext
-            Constrain the size of text inside or outside a bar to
-            be no larger than the bar itself.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        decreasing
-            :class:`plotly.graph_objects.waterfall.Decreasing`
-            instance or dict with compatible properties
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.waterfall.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `initial`, `delta` and
-            `final`. Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        increasing
-            :class:`plotly.graph_objects.waterfall.Increasing`
-            instance or dict with compatible properties
-        insidetextanchor
-            Determines if texts are kept at center or start/end
-            points in `textposition` "inside" mode.
-        insidetextfont
-            Sets the font used for `text` lying inside the bar.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        measure
-            An array containing types of values. By default the
-            values are considered as 'relative'. However; it is
-            possible to use 'total' to compute the sums. Also
-            'absolute' could be applied to reset the computed total
-            or to declare an initial value where needed.
-        measuresrc
-            Sets the source reference on Chart Studio Cloud for
-            measure .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the position where the bar is drawn (in position
-            axis units). In "group" barmode, traces that set
-            "offset" will be excluded and drawn in "overlay" mode
-            instead.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        offsetsrc
-            Sets the source reference on Chart Studio Cloud for
-            offset .
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the bars. With "v" ("h"), the
-            value of the each bar spans along the vertical
-            (horizontal).
-        outsidetextfont
-            Sets the font used for `text` lying outside the bar.
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.waterfall.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textangle
-            Sets the angle of the tick labels with respect to the
-            bar. For example, a `tickangle` of -90 draws the tick
-            labels vertically. With "auto" the texts may
-            automatically be rotated to fit with the maximum size
-            in bars.
-        textfont
-            Sets the font used for `text`.
-        textinfo
-            Determines which trace information appear on the graph.
-            In the case of having multiple waterfalls, totals are
-            computed separately (per trace).
-        textposition
-            Specifies the location of the `text`. "inside"
-            positions `text` inside, next to the bar end (rotated
-            and scaled if needed). "outside" positions `text`
-            outside, next to the bar end (scaled if needed), unless
-            there is another bar stacked on this one, then the text
-            gets pushed inside. "auto" tries to position `text`
-            inside the bar, but if the bar is too small and no bar
-            is stacked on this one the text is moved outside.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `initial`,
-            `delta`, `final` and `label`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        totals
-            :class:`plotly.graph_objects.waterfall.Totals` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar width (in position axis units).
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Waterfall
-        """
-        super(Waterfall, self).__init__("waterfall")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Waterfall 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Waterfall`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import waterfall as v_waterfall
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alignmentgroup"] = v_waterfall.AlignmentgroupValidator()
-        self._validators["base"] = v_waterfall.BaseValidator()
-        self._validators["cliponaxis"] = v_waterfall.CliponaxisValidator()
-        self._validators["connector"] = v_waterfall.ConnectorValidator()
-        self._validators["constraintext"] = v_waterfall.ConstraintextValidator()
-        self._validators["customdata"] = v_waterfall.CustomdataValidator()
-        self._validators["customdatasrc"] = v_waterfall.CustomdatasrcValidator()
-        self._validators["decreasing"] = v_waterfall.DecreasingValidator()
-        self._validators["dx"] = v_waterfall.DxValidator()
-        self._validators["dy"] = v_waterfall.DyValidator()
-        self._validators["hoverinfo"] = v_waterfall.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_waterfall.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_waterfall.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_waterfall.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_waterfall.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_waterfall.HovertextValidator()
-        self._validators["hovertextsrc"] = v_waterfall.HovertextsrcValidator()
-        self._validators["ids"] = v_waterfall.IdsValidator()
-        self._validators["idssrc"] = v_waterfall.IdssrcValidator()
-        self._validators["increasing"] = v_waterfall.IncreasingValidator()
-        self._validators["insidetextanchor"] = v_waterfall.InsidetextanchorValidator()
-        self._validators["insidetextfont"] = v_waterfall.InsidetextfontValidator()
-        self._validators["legendgroup"] = v_waterfall.LegendgroupValidator()
-        self._validators["measure"] = v_waterfall.MeasureValidator()
-        self._validators["measuresrc"] = v_waterfall.MeasuresrcValidator()
-        self._validators["meta"] = v_waterfall.MetaValidator()
-        self._validators["metasrc"] = v_waterfall.MetasrcValidator()
-        self._validators["name"] = v_waterfall.NameValidator()
-        self._validators["offset"] = v_waterfall.OffsetValidator()
-        self._validators["offsetgroup"] = v_waterfall.OffsetgroupValidator()
-        self._validators["offsetsrc"] = v_waterfall.OffsetsrcValidator()
-        self._validators["opacity"] = v_waterfall.OpacityValidator()
-        self._validators["orientation"] = v_waterfall.OrientationValidator()
-        self._validators["outsidetextfont"] = v_waterfall.OutsidetextfontValidator()
-        self._validators["selectedpoints"] = v_waterfall.SelectedpointsValidator()
-        self._validators["showlegend"] = v_waterfall.ShowlegendValidator()
-        self._validators["stream"] = v_waterfall.StreamValidator()
-        self._validators["text"] = v_waterfall.TextValidator()
-        self._validators["textangle"] = v_waterfall.TextangleValidator()
-        self._validators["textfont"] = v_waterfall.TextfontValidator()
-        self._validators["textinfo"] = v_waterfall.TextinfoValidator()
-        self._validators["textposition"] = v_waterfall.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_waterfall.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_waterfall.TextsrcValidator()
-        self._validators["texttemplate"] = v_waterfall.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_waterfall.TexttemplatesrcValidator()
-        self._validators["totals"] = v_waterfall.TotalsValidator()
-        self._validators["uid"] = v_waterfall.UidValidator()
-        self._validators["uirevision"] = v_waterfall.UirevisionValidator()
-        self._validators["visible"] = v_waterfall.VisibleValidator()
-        self._validators["width"] = v_waterfall.WidthValidator()
-        self._validators["widthsrc"] = v_waterfall.WidthsrcValidator()
-        self._validators["x"] = v_waterfall.XValidator()
-        self._validators["x0"] = v_waterfall.X0Validator()
-        self._validators["xaxis"] = v_waterfall.XAxisValidator()
-        self._validators["xsrc"] = v_waterfall.XsrcValidator()
-        self._validators["y"] = v_waterfall.YValidator()
-        self._validators["y0"] = v_waterfall.Y0Validator()
-        self._validators["yaxis"] = v_waterfall.YAxisValidator()
-        self._validators["ysrc"] = v_waterfall.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alignmentgroup", None)
-        self["alignmentgroup"] = alignmentgroup if alignmentgroup is not None else _v
-        _v = arg.pop("base", None)
-        self["base"] = base if base is not None else _v
-        _v = arg.pop("cliponaxis", None)
-        self["cliponaxis"] = cliponaxis if cliponaxis is not None else _v
-        _v = arg.pop("connector", None)
-        self["connector"] = connector if connector is not None else _v
-        _v = arg.pop("constraintext", None)
-        self["constraintext"] = constraintext if constraintext is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("decreasing", None)
-        self["decreasing"] = decreasing if decreasing is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("increasing", None)
-        self["increasing"] = increasing if increasing is not None else _v
-        _v = arg.pop("insidetextanchor", None)
-        self["insidetextanchor"] = (
-            insidetextanchor if insidetextanchor is not None else _v
-        )
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("measure", None)
-        self["measure"] = measure if measure is not None else _v
-        _v = arg.pop("measuresrc", None)
-        self["measuresrc"] = measuresrc if measuresrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("offsetgroup", None)
-        self["offsetgroup"] = offsetgroup if offsetgroup is not None else _v
-        _v = arg.pop("offsetsrc", None)
-        self["offsetsrc"] = offsetsrc if offsetsrc is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("outsidetextfont", None)
-        self["outsidetextfont"] = outsidetextfont if outsidetextfont is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textangle", None)
-        self["textangle"] = textangle if textangle is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textinfo", None)
-        self["textinfo"] = textinfo if textinfo is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("totals", None)
-        self["totals"] = totals if totals is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "waterfall"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="waterfall", val="waterfall"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Volume(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # caps
-    # ----
-    @property
-    def caps(self):
-        """
-        The 'caps' property is an instance of Caps
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Caps`
-          - A dict of string/value properties that will be passed
-            to the Caps constructor
-    
-            Supported dict properties:
-                
-                x
-                    :class:`plotly.graph_objects.volume.caps.X`
-                    instance or dict with compatible properties
-                y
-                    :class:`plotly.graph_objects.volume.caps.Y`
-                    instance or dict with compatible properties
-                z
-                    :class:`plotly.graph_objects.volume.caps.Z`
-                    instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Caps
-        """
-        return self["caps"]
-
-    @caps.setter
-    def caps(self, val):
-        self["caps"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here `value`) or the bounds set in
-        `cmin` and `cmax`  Defaults to `false` when `cmin` and `cmax`
-        are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as `value` and if set, `cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as `value`. Has no effect when `cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as `value` and if set, `cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.volume.
-                    colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.volume.colorbar.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of volume.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.volume.colorbar.Ti
-                    tle` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    volume.colorbar.title.font instead. Sets this
-                    color bar's title font. Note that the title's
-                    font used to be set by the now deprecated
-                    `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    volume.colorbar.title.side instead. Determines
-                    the location of color bar's title with respect
-                    to the color bar. Note that the title's
-                    location used to be set by the now deprecated
-                    `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # contour
-    # -------
-    @property
-    def contour(self):
-        """
-        The 'contour' property is an instance of Contour
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Contour`
-          - A dict of string/value properties that will be passed
-            to the Contour constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour lines.
-                show
-                    Sets whether or not dynamic contours are shown
-                    on hover
-                width
-                    Sets the width of the contour lines.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Contour
-        """
-        return self["contour"]
-
-    @contour.setter
-    def contour(self, val):
-        self["contour"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # flatshading
-    # -----------
-    @property
-    def flatshading(self):
-        """
-        Determines whether or not normal smoothing is applied to the
-        meshes, creating meshes with an angular, low-poly look via flat
-        reflections.
-    
-        The 'flatshading' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["flatshading"]
-
-    @flatshading.setter
-    def flatshading(self, val):
-        self["flatshading"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # isomax
-    # ------
-    @property
-    def isomax(self):
-        """
-        Sets the maximum boundary for iso-surface plot.
-    
-        The 'isomax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["isomax"]
-
-    @isomax.setter
-    def isomax(self, val):
-        self["isomax"] = val
-
-    # isomin
-    # ------
-    @property
-    def isomin(self):
-        """
-        Sets the minimum boundary for iso-surface plot.
-    
-        The 'isomin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["isomin"]
-
-    @isomin.setter
-    def isomin(self, val):
-        self["isomin"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lighting
-    # --------
-    @property
-    def lighting(self):
-        """
-        The 'lighting' property is an instance of Lighting
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Lighting`
-          - A dict of string/value properties that will be passed
-            to the Lighting constructor
-    
-            Supported dict properties:
-                
-                ambient
-                    Ambient light increases overall color
-                    visibility but can wash out the image.
-                diffuse
-                    Represents the extent that incident rays are
-                    reflected in a range of angles.
-                facenormalsepsilon
-                    Epsilon for face normals calculation avoids
-                    math issues arising from degenerate geometry.
-                fresnel
-                    Represents the reflectance as a dependency of
-                    the viewing angle; e.g. paper is reflective
-                    when viewing it from the edge of the paper
-                    (almost 90 degrees), causing shine.
-                roughness
-                    Alters specular reflection; the rougher the
-                    surface, the wider and less contrasty the
-                    shine.
-                specular
-                    Represents the level that incident rays are
-                    reflected in a single direction, causing shine.
-                vertexnormalsepsilon
-                    Epsilon for vertex normals calculation avoids
-                    math issues arising from degenerate geometry.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Lighting
-        """
-        return self["lighting"]
-
-    @lighting.setter
-    def lighting(self, val):
-        self["lighting"] = val
-
-    # lightposition
-    # -------------
-    @property
-    def lightposition(self):
-        """
-        The 'lightposition' property is an instance of Lightposition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Lightposition`
-          - A dict of string/value properties that will be passed
-            to the Lightposition constructor
-    
-            Supported dict properties:
-                
-                x
-                    Numeric vector, representing the X coordinate
-                    for each vertex.
-                y
-                    Numeric vector, representing the Y coordinate
-                    for each vertex.
-                z
-                    Numeric vector, representing the Z coordinate
-                    for each vertex.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Lightposition
-        """
-        return self["lightposition"]
-
-    @lightposition.setter
-    def lightposition(self, val):
-        self["lightposition"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the surface. Please note that in the case
-        of using high `opacity` values for example a value greater than
-        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
-        an overlay of multiple transparent surfaces may not perfectly
-        be sorted in depth by the webgl API. This behavior may be
-        improved in the near future and is subject to change.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacityscale
-    # ------------
-    @property
-    def opacityscale(self):
-        """
-        Sets the opacityscale. The opacityscale must be an array
-        containing arrays mapping a normalized value to an opacity
-        value. At minimum, a mapping for the lowest (0) and highest (1)
-        values are required. For example, `[[0, 1], [0.5, 0.2], [1,
-        1]]` means that higher/lower values would have higher opacity
-        values and those in the middle would be more transparent
-        Alternatively, `opacityscale` may be a palette name string of
-        the following list: 'min', 'max', 'extremes' and 'uniform'. The
-        default is 'uniform'.
-    
-        The 'opacityscale' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["opacityscale"]
-
-    @opacityscale.setter
-    def opacityscale(self, val):
-        self["opacityscale"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # slices
-    # ------
-    @property
-    def slices(self):
-        """
-        The 'slices' property is an instance of Slices
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Slices`
-          - A dict of string/value properties that will be passed
-            to the Slices constructor
-    
-            Supported dict properties:
-                
-                x
-                    :class:`plotly.graph_objects.volume.slices.X`
-                    instance or dict with compatible properties
-                y
-                    :class:`plotly.graph_objects.volume.slices.Y`
-                    instance or dict with compatible properties
-                z
-                    :class:`plotly.graph_objects.volume.slices.Z`
-                    instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Slices
-        """
-        return self["slices"]
-
-    @slices.setter
-    def slices(self, val):
-        self["slices"] = val
-
-    # spaceframe
-    # ----------
-    @property
-    def spaceframe(self):
-        """
-        The 'spaceframe' property is an instance of Spaceframe
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Spaceframe`
-          - A dict of string/value properties that will be passed
-            to the Spaceframe constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `spaceframe`
-                    elements. The default fill value is 1 meaning
-                    that they are entirely shaded. Applying a
-                    `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Displays/hides tetrahedron shapes between
-                    minimum and maximum iso-values. Often useful
-                    when either caps or surfaces are disabled or
-                    filled with values less than 1.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Spaceframe
-        """
-        return self["spaceframe"]
-
-    @spaceframe.setter
-    def spaceframe(self, val):
-        self["spaceframe"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # surface
-    # -------
-    @property
-    def surface(self):
-        """
-        The 'surface' property is an instance of Surface
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.Surface`
-          - A dict of string/value properties that will be passed
-            to the Surface constructor
-    
-            Supported dict properties:
-                
-                count
-                    Sets the number of iso-surfaces between minimum
-                    and maximum iso-values. By default this value
-                    is 2 meaning that only minimum and maximum
-                    surfaces would be drawn.
-                fill
-                    Sets the fill ratio of the iso-surface. The
-                    default fill value of the surface is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                pattern
-                    Sets the surface pattern of the iso-surface 3-D
-                    sections. The default pattern of the surface is
-                    `all` meaning that the rest of surface elements
-                    would be shaded. The check options (either 1 or
-                    2) could be used to draw half of the squares on
-                    the surface. Using various combinations of
-                    capital `A`, `B`, `C`, `D` and `E` may also be
-                    used to reduce the number of triangles on the
-                    iso-surfaces and creating other patterns of
-                    interest.
-                show
-                    Hides/displays surfaces between minimum and
-                    maximum iso-values.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.Surface
-        """
-        return self["surface"]
-
-    @surface.setter
-    def surface(self, val):
-        self["surface"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with the vertices. If trace
-        `hoverinfo` contains a "text" flag and "hovertext" is not set,
-        these elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the 4th dimension (value) of the vertices.
-    
-        The 'value' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valuesrc
-    # --------
-    @property
-    def valuesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  value .
-    
-        The 'valuesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuesrc"]
-
-    @valuesrc.setter
-    def valuesrc(self, val):
-        self["valuesrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the X coordinates of the vertices on X axis.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the Y coordinates of the vertices on Y axis.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the Z coordinates of the vertices on Z axis.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        caps
-            :class:`plotly.graph_objects.volume.Caps` instance or
-            dict with compatible properties
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here `value`) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as `value` and if set, `cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as `value`. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as `value` and if set, `cmax` must
-            be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.volume.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contour
-            :class:`plotly.graph_objects.volume.Contour` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        flatshading
-            Determines whether or not normal smoothing is applied
-            to the meshes, creating meshes with an angular, low-
-            poly look via flat reflections.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.volume.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        isomax
-            Sets the maximum boundary for iso-surface plot.
-        isomin
-            Sets the minimum boundary for iso-surface plot.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.volume.Lighting` instance
-            or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.volume.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        opacityscale
-            Sets the opacityscale. The opacityscale must be an
-            array containing arrays mapping a normalized value to
-            an opacity value. At minimum, a mapping for the lowest
-            (0) and highest (1) values are required. For example,
-            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
-            values would have higher opacity values and those in
-            the middle would be more transparent Alternatively,
-            `opacityscale` may be a palette name string of the
-            following list: 'min', 'max', 'extremes' and 'uniform'.
-            The default is 'uniform'.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        slices
-            :class:`plotly.graph_objects.volume.Slices` instance or
-            dict with compatible properties
-        spaceframe
-            :class:`plotly.graph_objects.volume.Spaceframe`
-            instance or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.volume.Stream` instance or
-            dict with compatible properties
-        surface
-            :class:`plotly.graph_objects.volume.Surface` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with the vertices. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        value
-            Sets the 4th dimension (value) of the vertices.
-        valuesrc
-            Sets the source reference on Chart Studio Cloud for
-            value .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the X coordinates of the vertices on X axis.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the Y coordinates of the vertices on Y axis.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the Z coordinates of the vertices on Z axis.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        caps=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        contour=None,
-        customdata=None,
-        customdatasrc=None,
-        flatshading=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        isomax=None,
-        isomin=None,
-        legendgroup=None,
-        lighting=None,
-        lightposition=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        opacityscale=None,
-        reversescale=None,
-        scene=None,
-        showlegend=None,
-        showscale=None,
-        slices=None,
-        spaceframe=None,
-        stream=None,
-        surface=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        value=None,
-        valuesrc=None,
-        visible=None,
-        x=None,
-        xsrc=None,
-        y=None,
-        ysrc=None,
-        z=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Volume object
-        
-        Draws volume trace between iso-min and iso-max values with
-        coordinates given by four 1-dimensional arrays containing the
-        `value`, `x`, `y` and `z` of every vertex of a uniform or non-
-        uniform 3-D grid. Horizontal or vertical slices, caps as well
-        as spaceframe between iso-min and iso-max values could also be
-        drawn using this trace.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Volume`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        caps
-            :class:`plotly.graph_objects.volume.Caps` instance or
-            dict with compatible properties
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here `value`) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as `value` and if set, `cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as `value`. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as `value` and if set, `cmax` must
-            be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.volume.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contour
-            :class:`plotly.graph_objects.volume.Contour` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        flatshading
-            Determines whether or not normal smoothing is applied
-            to the meshes, creating meshes with an angular, low-
-            poly look via flat reflections.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.volume.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        isomax
-            Sets the maximum boundary for iso-surface plot.
-        isomin
-            Sets the minimum boundary for iso-surface plot.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.volume.Lighting` instance
-            or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.volume.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        opacityscale
-            Sets the opacityscale. The opacityscale must be an
-            array containing arrays mapping a normalized value to
-            an opacity value. At minimum, a mapping for the lowest
-            (0) and highest (1) values are required. For example,
-            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
-            values would have higher opacity values and those in
-            the middle would be more transparent Alternatively,
-            `opacityscale` may be a palette name string of the
-            following list: 'min', 'max', 'extremes' and 'uniform'.
-            The default is 'uniform'.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        slices
-            :class:`plotly.graph_objects.volume.Slices` instance or
-            dict with compatible properties
-        spaceframe
-            :class:`plotly.graph_objects.volume.Spaceframe`
-            instance or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.volume.Stream` instance or
-            dict with compatible properties
-        surface
-            :class:`plotly.graph_objects.volume.Surface` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with the vertices. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        value
-            Sets the 4th dimension (value) of the vertices.
-        valuesrc
-            Sets the source reference on Chart Studio Cloud for
-            value .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the X coordinates of the vertices on X axis.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the Y coordinates of the vertices on Y axis.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the Z coordinates of the vertices on Z axis.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Volume
-        """
-        super(Volume, self).__init__("volume")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Volume 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Volume`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import volume as v_volume
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_volume.AutocolorscaleValidator()
-        self._validators["caps"] = v_volume.CapsValidator()
-        self._validators["cauto"] = v_volume.CautoValidator()
-        self._validators["cmax"] = v_volume.CmaxValidator()
-        self._validators["cmid"] = v_volume.CmidValidator()
-        self._validators["cmin"] = v_volume.CminValidator()
-        self._validators["coloraxis"] = v_volume.ColoraxisValidator()
-        self._validators["colorbar"] = v_volume.ColorBarValidator()
-        self._validators["colorscale"] = v_volume.ColorscaleValidator()
-        self._validators["contour"] = v_volume.ContourValidator()
-        self._validators["customdata"] = v_volume.CustomdataValidator()
-        self._validators["customdatasrc"] = v_volume.CustomdatasrcValidator()
-        self._validators["flatshading"] = v_volume.FlatshadingValidator()
-        self._validators["hoverinfo"] = v_volume.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_volume.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_volume.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_volume.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_volume.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_volume.HovertextValidator()
-        self._validators["hovertextsrc"] = v_volume.HovertextsrcValidator()
-        self._validators["ids"] = v_volume.IdsValidator()
-        self._validators["idssrc"] = v_volume.IdssrcValidator()
-        self._validators["isomax"] = v_volume.IsomaxValidator()
-        self._validators["isomin"] = v_volume.IsominValidator()
-        self._validators["legendgroup"] = v_volume.LegendgroupValidator()
-        self._validators["lighting"] = v_volume.LightingValidator()
-        self._validators["lightposition"] = v_volume.LightpositionValidator()
-        self._validators["meta"] = v_volume.MetaValidator()
-        self._validators["metasrc"] = v_volume.MetasrcValidator()
-        self._validators["name"] = v_volume.NameValidator()
-        self._validators["opacity"] = v_volume.OpacityValidator()
-        self._validators["opacityscale"] = v_volume.OpacityscaleValidator()
-        self._validators["reversescale"] = v_volume.ReversescaleValidator()
-        self._validators["scene"] = v_volume.SceneValidator()
-        self._validators["showlegend"] = v_volume.ShowlegendValidator()
-        self._validators["showscale"] = v_volume.ShowscaleValidator()
-        self._validators["slices"] = v_volume.SlicesValidator()
-        self._validators["spaceframe"] = v_volume.SpaceframeValidator()
-        self._validators["stream"] = v_volume.StreamValidator()
-        self._validators["surface"] = v_volume.SurfaceValidator()
-        self._validators["text"] = v_volume.TextValidator()
-        self._validators["textsrc"] = v_volume.TextsrcValidator()
-        self._validators["uid"] = v_volume.UidValidator()
-        self._validators["uirevision"] = v_volume.UirevisionValidator()
-        self._validators["value"] = v_volume.ValueValidator()
-        self._validators["valuesrc"] = v_volume.ValuesrcValidator()
-        self._validators["visible"] = v_volume.VisibleValidator()
-        self._validators["x"] = v_volume.XValidator()
-        self._validators["xsrc"] = v_volume.XsrcValidator()
-        self._validators["y"] = v_volume.YValidator()
-        self._validators["ysrc"] = v_volume.YsrcValidator()
-        self._validators["z"] = v_volume.ZValidator()
-        self._validators["zsrc"] = v_volume.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("caps", None)
-        self["caps"] = caps if caps is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("contour", None)
-        self["contour"] = contour if contour is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("flatshading", None)
-        self["flatshading"] = flatshading if flatshading is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("isomax", None)
-        self["isomax"] = isomax if isomax is not None else _v
-        _v = arg.pop("isomin", None)
-        self["isomin"] = isomin if isomin is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lighting", None)
-        self["lighting"] = lighting if lighting is not None else _v
-        _v = arg.pop("lightposition", None)
-        self["lightposition"] = lightposition if lightposition is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacityscale", None)
-        self["opacityscale"] = opacityscale if opacityscale is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("slices", None)
-        self["slices"] = slices if slices is not None else _v
-        _v = arg.pop("spaceframe", None)
-        self["spaceframe"] = spaceframe if spaceframe is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("surface", None)
-        self["surface"] = surface if surface is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valuesrc", None)
-        self["valuesrc"] = valuesrc if valuesrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "volume"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="volume", val="volume"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Violin(_BaseTraceType):
-
-    # alignmentgroup
-    # --------------
-    @property
-    def alignmentgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same alignmentgroup. This controls whether bars
-        compute their positional range dependently or independently.
-    
-        The 'alignmentgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["alignmentgroup"]
-
-    @alignmentgroup.setter
-    def alignmentgroup(self, val):
-        self["alignmentgroup"] = val
-
-    # bandwidth
-    # ---------
-    @property
-    def bandwidth(self):
-        """
-        Sets the bandwidth used to compute the kernel density estimate.
-        By default, the bandwidth is determined by Silverman's rule of
-        thumb.
-    
-        The 'bandwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["bandwidth"]
-
-    @bandwidth.setter
-    def bandwidth(self, val):
-        self["bandwidth"] = val
-
-    # box
-    # ---
-    @property
-    def box(self):
-        """
-        The 'box' property is an instance of Box
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Box`
-          - A dict of string/value properties that will be passed
-            to the Box constructor
-    
-            Supported dict properties:
-                
-                fillcolor
-                    Sets the inner box plot fill color.
-                line
-                    :class:`plotly.graph_objects.violin.box.Line`
-                    instance or dict with compatible properties
-                visible
-                    Determines if an miniature box plot is drawn
-                    inside the violins.
-                width
-                    Sets the width of the inner box plots relative
-                    to the violins' width. For example, with 1, the
-                    inner box plots are as wide as the violins.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Box
-        """
-        return self["box"]
-
-    @box.setter
-    def box(self, val):
-        self["box"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Do the hover effects highlight individual violins or sample
-        points or the kernel density estimate or any combination of
-        them?
-    
-        The 'hoveron' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['violins', 'points', 'kde'] joined with '+' characters
-            (e.g. 'violins+points')
-            OR exactly one of ['all'] (e.g. 'all')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # jitter
-    # ------
-    @property
-    def jitter(self):
-        """
-        Sets the amount of jitter in the sample points drawn. If 0, the
-        sample points align along the distribution axis. If 1, the
-        sample points are drawn in a random jitter of width equal to
-        the width of the violins.
-    
-        The 'jitter' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["jitter"]
-
-    @jitter.setter
-    def jitter(self, val):
-        self["jitter"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of line bounding the violin(s).
-                width
-                    Sets the width (in px) of line bounding the
-                    violin(s).
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                line
-                    :class:`plotly.graph_objects.violin.marker.Line
-                    ` instance or dict with compatible properties
-                opacity
-                    Sets the marker opacity.
-                outliercolor
-                    Sets the color of the outlier sample points.
-                size
-                    Sets the marker size (in px).
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meanline
-    # --------
-    @property
-    def meanline(self):
-        """
-        The 'meanline' property is an instance of Meanline
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Meanline`
-          - A dict of string/value properties that will be passed
-            to the Meanline constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the mean line color.
-                visible
-                    Determines if a line corresponding to the
-                    sample's mean is shown inside the violins. If
-                    `box.visible` is turned on, the mean line is
-                    drawn inside the inner box. Otherwise, the mean
-                    line is drawn from one side of the violin to
-                    other.
-                width
-                    Sets the mean line width.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Meanline
-        """
-        return self["meanline"]
-
-    @meanline.setter
-    def meanline(self, val):
-        self["meanline"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover. For violin traces, the name will also be used for
-        the position coordinate, if `x` and `x0` (`y` and `y0` if
-        horizontal) are missing and the position axis is categorical.
-        Note that the trace name is also used as a default value for
-        attribute `scalegroup` (please see its description for
-        details).
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # offsetgroup
-    # -----------
-    @property
-    def offsetgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same offsetgroup where bars of the same position
-        coordinate will line up.
-    
-        The 'offsetgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetgroup"]
-
-    @offsetgroup.setter
-    def offsetgroup(self, val):
-        self["offsetgroup"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the violin(s). If "v" ("h"), the
-        distribution is visualized along the vertical (horizontal).
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # pointpos
-    # --------
-    @property
-    def pointpos(self):
-        """
-        Sets the position of the sample points in relation to the
-        violins. If 0, the sample points are places over the center of
-        the violins. Positive (negative) values correspond to positions
-        to the right (left) for vertical violins and above (below) for
-        horizontal violins.
-    
-        The 'pointpos' property is a number and may be specified as:
-          - An int or float in the interval [-2, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["pointpos"]
-
-    @pointpos.setter
-    def pointpos(self, val):
-        self["pointpos"] = val
-
-    # points
-    # ------
-    @property
-    def points(self):
-        """
-        If "outliers", only the sample points lying outside the
-        whiskers are shown If "suspectedoutliers", the outlier points
-        are shown and points either less than 4*Q1-3*Q3 or greater than
-        4*Q3-3*Q1 are highlighted (see `outliercolor`) If "all", all
-        sample points are shown If False, only the violins are shown
-        with no sample points. Defaults to "suspectedoutliers" when
-        `marker.outliercolor` or `marker.line.outliercolor` is set,
-        otherwise defaults to "outliers".
-    
-        The 'points' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'outliers', 'suspectedoutliers', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["points"]
-
-    @points.setter
-    def points(self, val):
-        self["points"] = val
-
-    # scalegroup
-    # ----------
-    @property
-    def scalegroup(self):
-        """
-        If there are multiple violins that should be sized according to
-        to some metric (see `scalemode`), link them by providing a non-
-        empty group id here shared by every trace in the same group. If
-        a violin's `width` is undefined, `scalegroup` will default to
-        the trace's name. In this case, violins with the same names
-        will be linked together
-    
-        The 'scalegroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["scalegroup"]
-
-    @scalegroup.setter
-    def scalegroup(self, val):
-        self["scalegroup"] = val
-
-    # scalemode
-    # ---------
-    @property
-    def scalemode(self):
-        """
-        Sets the metric by which the width of each violin is
-        determined."width" means each violin has the same (max)
-        width*count* means the violins are scaled by the number of
-        sample points makingup each violin.
-    
-        The 'scalemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['width', 'count']
-
-        Returns
-        -------
-        Any
-        """
-        return self["scalemode"]
-
-    @scalemode.setter
-    def scalemode(self, val):
-        self["scalemode"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.violin.selected.Ma
-                    rker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines on which side of the position value the density
-        function making up one half of a violin is plotted. Useful when
-        comparing two violin traces under "overlay" mode, where one
-        trace has `side` set to "positive" and the other to "negative".
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['both', 'positive', 'negative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # span
-    # ----
-    @property
-    def span(self):
-        """
-        Sets the span in data space for which the density function will
-        be computed. Has an effect only when `spanmode` is set to
-        "manual".
-    
-        The 'span' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'span[0]' property accepts values of any type
-    (1) The 'span[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["span"]
-
-    @span.setter
-    def span(self, val):
-        self["span"] = val
-
-    # spanmode
-    # --------
-    @property
-    def spanmode(self):
-        """
-        Sets the method by which the span in data space where the
-        density function will be computed. "soft" means the span goes
-        from the sample's minimum value minus two bandwidths to the
-        sample's maximum value plus two bandwidths. "hard" means the
-        span goes from the sample's minimum to its maximum value. For
-        custom span settings, use mode "manual" and fill in the `span`
-        attribute.
-    
-        The 'spanmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['soft', 'hard', 'manual']
-
-        Returns
-        -------
-        Any
-        """
-        return self["spanmode"]
-
-    @spanmode.setter
-    def spanmode(self, val):
-        self["spanmode"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each sample value. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.violin.unselected.
-                    Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.violin.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the violin in data coordinates. If 0 (default
-        value) the width is automatically selected based on the
-        positions of other violin traces in the same subplot.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x sample data or coordinates. See overview for more
-        info.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Sets the x coordinate for single-box traces or the starting
-        coordinate for multi-box traces set using q1/median/q3. See
-        overview for more info.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y sample data or coordinates. See overview for more
-        info.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Sets the y coordinate for single-box traces or the starting
-        coordinate for multi-box traces set using q1/median/q3. See
-        overview for more info.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        bandwidth
-            Sets the bandwidth used to compute the kernel density
-            estimate. By default, the bandwidth is determined by
-            Silverman's rule of thumb.
-        box
-            :class:`plotly.graph_objects.violin.Box` instance or
-            dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.violin.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual violins or
-            sample points or the kernel density estimate or any
-            combination of them?
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        jitter
-            Sets the amount of jitter in the sample points drawn.
-            If 0, the sample points align along the distribution
-            axis. If 1, the sample points are drawn in a random
-            jitter of width equal to the width of the violins.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.violin.Line` instance or
-            dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.violin.Marker` instance or
-            dict with compatible properties
-        meanline
-            :class:`plotly.graph_objects.violin.Meanline` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover. For violin traces, the name
-            will also be used for the position coordinate, if `x`
-            and `x0` (`y` and `y0` if horizontal) are missing and
-            the position axis is categorical. Note that the trace
-            name is also used as a default value for attribute
-            `scalegroup` (please see its description for details).
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the violin(s). If "v" ("h"),
-            the distribution is visualized along the vertical
-            (horizontal).
-        pointpos
-            Sets the position of the sample points in relation to
-            the violins. If 0, the sample points are places over
-            the center of the violins. Positive (negative) values
-            correspond to positions to the right (left) for
-            vertical violins and above (below) for horizontal
-            violins.
-        points
-            If "outliers", only the sample points lying outside the
-            whiskers are shown If "suspectedoutliers", the outlier
-            points are shown and points either less than 4*Q1-3*Q3
-            or greater than 4*Q3-3*Q1 are highlighted (see
-            `outliercolor`) If "all", all sample points are shown
-            If False, only the violins are shown with no sample
-            points. Defaults to "suspectedoutliers" when
-            `marker.outliercolor` or `marker.line.outliercolor` is
-            set, otherwise defaults to "outliers".
-        scalegroup
-            If there are multiple violins that should be sized
-            according to to some metric (see `scalemode`), link
-            them by providing a non-empty group id here shared by
-            every trace in the same group. If a violin's `width` is
-            undefined, `scalegroup` will default to the trace's
-            name. In this case, violins with the same names will be
-            linked together
-        scalemode
-            Sets the metric by which the width of each violin is
-            determined."width" means each violin has the same (max)
-            width*count* means the violins are scaled by the number
-            of sample points makingup each violin.
-        selected
-            :class:`plotly.graph_objects.violin.Selected` instance
-            or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        side
-            Determines on which side of the position value the
-            density function making up one half of a violin is
-            plotted. Useful when comparing two violin traces under
-            "overlay" mode, where one trace has `side` set to
-            "positive" and the other to "negative".
-        span
-            Sets the span in data space for which the density
-            function will be computed. Has an effect only when
-            `spanmode` is set to "manual".
-        spanmode
-            Sets the method by which the span in data space where
-            the density function will be computed. "soft" means the
-            span goes from the sample's minimum value minus two
-            bandwidths to the sample's maximum value plus two
-            bandwidths. "hard" means the span goes from the
-            sample's minimum to its maximum value. For custom span
-            settings, use mode "manual" and fill in the `span`
-            attribute.
-        stream
-            :class:`plotly.graph_objects.violin.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with each sample
-            value. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.violin.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the width of the violin in data coordinates. If 0
-            (default value) the width is automatically selected
-            based on the positions of other violin traces in the
-            same subplot.
-        x
-            Sets the x sample data or coordinates. See overview for
-            more info.
-        x0
-            Sets the x coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y sample data or coordinates. See overview for
-            more info.
-        y0
-            Sets the y coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alignmentgroup=None,
-        bandwidth=None,
-        box=None,
-        customdata=None,
-        customdatasrc=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoveron=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        jitter=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meanline=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        offsetgroup=None,
-        opacity=None,
-        orientation=None,
-        pointpos=None,
-        points=None,
-        scalegroup=None,
-        scalemode=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        side=None,
-        span=None,
-        spanmode=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        width=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Violin object
-        
-        In vertical (horizontal) violin plots, statistics are computed
-        using `y` (`x`) values. By supplying an `x` (`y`) array, one
-        violin per distinct x (y) value is drawn If no `x` (`y`) list
-        is provided, a single violin is drawn. That violin position is
-        then positioned with with `name` or with `x0` (`y0`) if
-        provided.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Violin`
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        bandwidth
-            Sets the bandwidth used to compute the kernel density
-            estimate. By default, the bandwidth is determined by
-            Silverman's rule of thumb.
-        box
-            :class:`plotly.graph_objects.violin.Box` instance or
-            dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.violin.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual violins or
-            sample points or the kernel density estimate or any
-            combination of them?
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        jitter
-            Sets the amount of jitter in the sample points drawn.
-            If 0, the sample points align along the distribution
-            axis. If 1, the sample points are drawn in a random
-            jitter of width equal to the width of the violins.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.violin.Line` instance or
-            dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.violin.Marker` instance or
-            dict with compatible properties
-        meanline
-            :class:`plotly.graph_objects.violin.Meanline` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover. For violin traces, the name
-            will also be used for the position coordinate, if `x`
-            and `x0` (`y` and `y0` if horizontal) are missing and
-            the position axis is categorical. Note that the trace
-            name is also used as a default value for attribute
-            `scalegroup` (please see its description for details).
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the violin(s). If "v" ("h"),
-            the distribution is visualized along the vertical
-            (horizontal).
-        pointpos
-            Sets the position of the sample points in relation to
-            the violins. If 0, the sample points are places over
-            the center of the violins. Positive (negative) values
-            correspond to positions to the right (left) for
-            vertical violins and above (below) for horizontal
-            violins.
-        points
-            If "outliers", only the sample points lying outside the
-            whiskers are shown If "suspectedoutliers", the outlier
-            points are shown and points either less than 4*Q1-3*Q3
-            or greater than 4*Q3-3*Q1 are highlighted (see
-            `outliercolor`) If "all", all sample points are shown
-            If False, only the violins are shown with no sample
-            points. Defaults to "suspectedoutliers" when
-            `marker.outliercolor` or `marker.line.outliercolor` is
-            set, otherwise defaults to "outliers".
-        scalegroup
-            If there are multiple violins that should be sized
-            according to to some metric (see `scalemode`), link
-            them by providing a non-empty group id here shared by
-            every trace in the same group. If a violin's `width` is
-            undefined, `scalegroup` will default to the trace's
-            name. In this case, violins with the same names will be
-            linked together
-        scalemode
-            Sets the metric by which the width of each violin is
-            determined."width" means each violin has the same (max)
-            width*count* means the violins are scaled by the number
-            of sample points makingup each violin.
-        selected
-            :class:`plotly.graph_objects.violin.Selected` instance
-            or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        side
-            Determines on which side of the position value the
-            density function making up one half of a violin is
-            plotted. Useful when comparing two violin traces under
-            "overlay" mode, where one trace has `side` set to
-            "positive" and the other to "negative".
-        span
-            Sets the span in data space for which the density
-            function will be computed. Has an effect only when
-            `spanmode` is set to "manual".
-        spanmode
-            Sets the method by which the span in data space where
-            the density function will be computed. "soft" means the
-            span goes from the sample's minimum value minus two
-            bandwidths to the sample's maximum value plus two
-            bandwidths. "hard" means the span goes from the
-            sample's minimum to its maximum value. For custom span
-            settings, use mode "manual" and fill in the `span`
-            attribute.
-        stream
-            :class:`plotly.graph_objects.violin.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with each sample
-            value. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.violin.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the width of the violin in data coordinates. If 0
-            (default value) the width is automatically selected
-            based on the positions of other violin traces in the
-            same subplot.
-        x
-            Sets the x sample data or coordinates. See overview for
-            more info.
-        x0
-            Sets the x coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y sample data or coordinates. See overview for
-            more info.
-        y0
-            Sets the y coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Violin
-        """
-        super(Violin, self).__init__("violin")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Violin 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Violin`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import violin as v_violin
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alignmentgroup"] = v_violin.AlignmentgroupValidator()
-        self._validators["bandwidth"] = v_violin.BandwidthValidator()
-        self._validators["box"] = v_violin.BoxValidator()
-        self._validators["customdata"] = v_violin.CustomdataValidator()
-        self._validators["customdatasrc"] = v_violin.CustomdatasrcValidator()
-        self._validators["fillcolor"] = v_violin.FillcolorValidator()
-        self._validators["hoverinfo"] = v_violin.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_violin.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_violin.HoverlabelValidator()
-        self._validators["hoveron"] = v_violin.HoveronValidator()
-        self._validators["hovertemplate"] = v_violin.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_violin.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_violin.HovertextValidator()
-        self._validators["hovertextsrc"] = v_violin.HovertextsrcValidator()
-        self._validators["ids"] = v_violin.IdsValidator()
-        self._validators["idssrc"] = v_violin.IdssrcValidator()
-        self._validators["jitter"] = v_violin.JitterValidator()
-        self._validators["legendgroup"] = v_violin.LegendgroupValidator()
-        self._validators["line"] = v_violin.LineValidator()
-        self._validators["marker"] = v_violin.MarkerValidator()
-        self._validators["meanline"] = v_violin.MeanlineValidator()
-        self._validators["meta"] = v_violin.MetaValidator()
-        self._validators["metasrc"] = v_violin.MetasrcValidator()
-        self._validators["name"] = v_violin.NameValidator()
-        self._validators["offsetgroup"] = v_violin.OffsetgroupValidator()
-        self._validators["opacity"] = v_violin.OpacityValidator()
-        self._validators["orientation"] = v_violin.OrientationValidator()
-        self._validators["pointpos"] = v_violin.PointposValidator()
-        self._validators["points"] = v_violin.PointsValidator()
-        self._validators["scalegroup"] = v_violin.ScalegroupValidator()
-        self._validators["scalemode"] = v_violin.ScalemodeValidator()
-        self._validators["selected"] = v_violin.SelectedValidator()
-        self._validators["selectedpoints"] = v_violin.SelectedpointsValidator()
-        self._validators["showlegend"] = v_violin.ShowlegendValidator()
-        self._validators["side"] = v_violin.SideValidator()
-        self._validators["span"] = v_violin.SpanValidator()
-        self._validators["spanmode"] = v_violin.SpanmodeValidator()
-        self._validators["stream"] = v_violin.StreamValidator()
-        self._validators["text"] = v_violin.TextValidator()
-        self._validators["textsrc"] = v_violin.TextsrcValidator()
-        self._validators["uid"] = v_violin.UidValidator()
-        self._validators["uirevision"] = v_violin.UirevisionValidator()
-        self._validators["unselected"] = v_violin.UnselectedValidator()
-        self._validators["visible"] = v_violin.VisibleValidator()
-        self._validators["width"] = v_violin.WidthValidator()
-        self._validators["x"] = v_violin.XValidator()
-        self._validators["x0"] = v_violin.X0Validator()
-        self._validators["xaxis"] = v_violin.XAxisValidator()
-        self._validators["xsrc"] = v_violin.XsrcValidator()
-        self._validators["y"] = v_violin.YValidator()
-        self._validators["y0"] = v_violin.Y0Validator()
-        self._validators["yaxis"] = v_violin.YAxisValidator()
-        self._validators["ysrc"] = v_violin.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alignmentgroup", None)
-        self["alignmentgroup"] = alignmentgroup if alignmentgroup is not None else _v
-        _v = arg.pop("bandwidth", None)
-        self["bandwidth"] = bandwidth if bandwidth is not None else _v
-        _v = arg.pop("box", None)
-        self["box"] = box if box is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("jitter", None)
-        self["jitter"] = jitter if jitter is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meanline", None)
-        self["meanline"] = meanline if meanline is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("offsetgroup", None)
-        self["offsetgroup"] = offsetgroup if offsetgroup is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("pointpos", None)
-        self["pointpos"] = pointpos if pointpos is not None else _v
-        _v = arg.pop("points", None)
-        self["points"] = points if points is not None else _v
-        _v = arg.pop("scalegroup", None)
-        self["scalegroup"] = scalegroup if scalegroup is not None else _v
-        _v = arg.pop("scalemode", None)
-        self["scalemode"] = scalemode if scalemode is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("span", None)
-        self["span"] = span if span is not None else _v
-        _v = arg.pop("spanmode", None)
-        self["spanmode"] = spanmode if spanmode is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "violin"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="violin", val="violin"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Treemap(_BaseTraceType):
-
-    # branchvalues
-    # ------------
-    @property
-    def branchvalues(self):
-        """
-        Determines how the items in `values` are summed. When set to
-        "total", items in `values` are taken to be value of all its
-        descendants. When set to "remainder", items in `values`
-        corresponding to the root and the branches sectors are taken to
-        be the extra part not part of the sum of the values at their
-        leaves.
-    
-        The 'branchvalues' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['remainder', 'total']
-
-        Returns
-        -------
-        Any
-        """
-        return self["branchvalues"]
-
-    @branchvalues.setter
-    def branchvalues(self, val):
-        self["branchvalues"] = val
-
-    # count
-    # -----
-    @property
-    def count(self):
-        """
-        Determines default for `values` when it is not provided, by
-        inferring a 1 for each of the "leaves" and/or "branches",
-        otherwise 0.
-    
-        The 'count' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['branches', 'leaves'] joined with '+' characters
-            (e.g. 'branches+leaves')
-
-        Returns
-        -------
-        Any
-        """
-        return self["count"]
-
-    @count.setter
-    def count(self, val):
-        self["count"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this treemap trace
-                    .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this treemap trace .
-                x
-                    Sets the horizontal domain of this treemap
-                    trace (in plot fraction).
-                y
-                    Sets the vertical domain of this treemap trace
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'name', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `currentPath`, `root`, `entry`, `percentRoot`,
-        `percentEntry` and `percentParent`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each sector. If a
-        single string, the same string appears for all data points. If
-        an array of string, the items are mapped in order of this
-        trace's sectors. To be seen, trace `hoverinfo` must contain a
-        "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying inside the sector.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # labels
-    # ------
-    @property
-    def labels(self):
-        """
-        Sets the labels of each of the sectors.
-    
-        The 'labels' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["labels"]
-
-    @labels.setter
-    def labels(self, val):
-        self["labels"] = val
-
-    # labelssrc
-    # ---------
-    @property
-    def labelssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  labels .
-    
-        The 'labelssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["labelssrc"]
-
-    @labelssrc.setter
-    def labelssrc(self, val):
-        self["labelssrc"] = val
-
-    # level
-    # -----
-    @property
-    def level(self):
-        """
-        Sets the level from which this trace hierarchy is rendered. Set
-        `level` to `''` to start from the root node in the hierarchy.
-        Must be an "id" if `ids` is filled in, otherwise plotly
-        attempts to find a matching item in `labels`.
-    
-        The 'level' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["level"]
-
-    @level.setter
-    def level(self, val):
-        self["level"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if colorsis set to a numerical
-                    array. In case `colorscale` is unspecified or
-                    `autocolorscale` is true, the default  palette
-                    will be chosen according to whether numbers in
-                    the `color` array are all positive, all
-                    negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    colors) or the bounds set in `marker.cmin` and
-                    `marker.cmax`  Has an effect only if colorsis
-                    set to a numerical array. Defaults to `false`
-                    when `marker.cmin` and `marker.cmax` are set by
-                    the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if colorsis set to a numerical
-                    array. Value should have the same units as
-                    colors and if set, `marker.cmin` must be set as
-                    well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if colorsis set to a numerical array.
-                    Value should have the same units as colors. Has
-                    no effect when `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if colorsis set to a numerical
-                    array. Value should have the same units as
-                    colors and if set, `marker.cmax` must be set as
-                    well.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.treemap.marker.Col
-                    orBar` instance or dict with compatible
-                    properties
-                colors
-                    Sets the color of each sector of this trace. If
-                    not specified, the default trace color set is
-                    used to pick the sector colors.
-                colorscale
-                    Sets the colorscale. Has an effect only if
-                    colorsis set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  colors .
-                depthfade
-                    Determines if the sector colors are faded
-                    towards the background from the leaves up to
-                    the headers. This option is unavailable when a
-                    `colorscale` is present, defaults to false when
-                    `marker.colors` is set, but otherwise defaults
-                    to true. When set to "reversed", the fading
-                    direction is inverted, that is the top elements
-                    within hierarchy are drawn with fully saturated
-                    colors while the leaves are faded towards the
-                    background color.
-                line
-                    :class:`plotly.graph_objects.treemap.marker.Lin
-                    e` instance or dict with compatible properties
-                pad
-                    :class:`plotly.graph_objects.treemap.marker.Pad
-                    ` instance or dict with compatible properties
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if colorsis set to a numerical
-                    array. If true, `marker.cmin` will correspond
-                    to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    colorsis set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # maxdepth
-    # --------
-    @property
-    def maxdepth(self):
-        """
-        Sets the number of rendered sectors from any given `level`. Set
-        `maxdepth` to "-1" to render all the levels in the hierarchy.
-    
-        The 'maxdepth' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-
-        Returns
-        -------
-        int
-        """
-        return self["maxdepth"]
-
-    @maxdepth.setter
-    def maxdepth(self, val):
-        self["maxdepth"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # outsidetextfont
-    # ---------------
-    @property
-    def outsidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying outside the sector.
-        This option refers to the root of the hierarchy presented on
-        top left corner of a treemap graph. Please note that if a
-        hierarchy has multiple root nodes, this option won't have any
-        effect and `insidetextfont` would be used.
-    
-        The 'outsidetextfont' property is an instance of Outsidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Outsidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Outsidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Outsidetextfont
-        """
-        return self["outsidetextfont"]
-
-    @outsidetextfont.setter
-    def outsidetextfont(self, val):
-        self["outsidetextfont"] = val
-
-    # parents
-    # -------
-    @property
-    def parents(self):
-        """
-        Sets the parent sectors for each of the sectors. Empty string
-        items '' are understood to reference the root node in the
-        hierarchy. If `ids` is filled, `parents` items are understood
-        to be "ids" themselves. When `ids` is not set, plotly attempts
-        to find matching items in `labels`, but beware they must be
-        unique.
-    
-        The 'parents' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["parents"]
-
-    @parents.setter
-    def parents(self, val):
-        self["parents"] = val
-
-    # parentssrc
-    # ----------
-    @property
-    def parentssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  parents .
-    
-        The 'parentssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["parentssrc"]
-
-    @parentssrc.setter
-    def parentssrc(self, val):
-        self["parentssrc"] = val
-
-    # pathbar
-    # -------
-    @property
-    def pathbar(self):
-        """
-        The 'pathbar' property is an instance of Pathbar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Pathbar`
-          - A dict of string/value properties that will be passed
-            to the Pathbar constructor
-    
-            Supported dict properties:
-                
-                edgeshape
-                    Determines which shape is used for edges
-                    between `barpath` labels.
-                side
-                    Determines on which side of the the treemap the
-                    `pathbar` should be presented.
-                textfont
-                    Sets the font used inside `pathbar`.
-                thickness
-                    Sets the thickness of `pathbar` (in px). If not
-                    specified the `pathbar.textfont.size` is used
-                    with 3 pixles extra padding on each side.
-                visible
-                    Determines if the path bar is drawn i.e.
-                    outside the trace `domain` and with one pixel
-                    gap.
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Pathbar
-        """
-        return self["pathbar"]
-
-    @pathbar.setter
-    def pathbar(self, val):
-        self["pathbar"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each sector. If trace
-        `textinfo` contains a "text" flag, these elements will be seen
-        on the chart. If trace `hoverinfo` contains a "text" flag and
-        "hovertext" is not set, these elements will be seen in the
-        hover labels.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `textinfo`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textinfo
-    # --------
-    @property
-    def textinfo(self):
-        """
-        Determines which trace information appear on the graph.
-    
-        The 'textinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["textinfo"]
-
-    @textinfo.setter
-    def textinfo(self, val):
-        self["textinfo"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `currentPath`, `root`, `entry`,
-        `percentRoot`, `percentEntry`, `percentParent`, `label` and
-        `value`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # tiling
-    # ------
-    @property
-    def tiling(self):
-        """
-        The 'tiling' property is an instance of Tiling
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.Tiling`
-          - A dict of string/value properties that will be passed
-            to the Tiling constructor
-    
-            Supported dict properties:
-                
-                flip
-                    Determines if the positions obtained from
-                    solver are flipped on each axis.
-                packing
-                    Determines d3 treemap solver. For more info
-                    please refer to
-                    https://github.com/d3/d3-hierarchy#treemap-
-                    tiling
-                pad
-                    Sets the inner padding (in px).
-                squarifyratio
-                    When using "squarify" `packing` algorithm,
-                    according to https://github.com/d3/d3-hierarchy
-                    /blob/master/README.md#squarify_ratio this
-                    option specifies the desired aspect ratio of
-                    the generated rectangles. The ratio must be
-                    specified as a number greater than or equal to
-                    one. Note that the orientation of the generated
-                    rectangles (tall or wide) is not implied by the
-                    ratio; for example, a ratio of two will attempt
-                    to produce a mixture of rectangles whose
-                    width:height ratio is either 2:1 or 1:2. When
-                    using "squarify", unlike d3 which uses the
-                    Golden Ratio i.e. 1.618034, Plotly applies 1 to
-                    increase squares in treemap layouts.
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.Tiling
-        """
-        return self["tiling"]
-
-    @tiling.setter
-    def tiling(self, val):
-        self["tiling"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the values associated with each of the sectors. Use with
-        `branchvalues` to determine how the values are summed.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        branchvalues
-            Determines how the items in `values` are summed. When
-            set to "total", items in `values` are taken to be value
-            of all its descendants. When set to "remainder", items
-            in `values` corresponding to the root and the branches
-            sectors are taken to be the extra part not part of the
-            sum of the values at their leaves.
-        count
-            Determines default for `values` when it is not
-            provided, by inferring a 1 for each of the "leaves"
-            and/or "branches", otherwise 0.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.treemap.Domain` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.treemap.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `currentPath`, `root`,
-            `entry`, `percentRoot`, `percentEntry` and
-            `percentParent`. Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        labels
-            Sets the labels of each of the sectors.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        level
-            Sets the level from which this trace hierarchy is
-            rendered. Set `level` to `''` to start from the root
-            node in the hierarchy. Must be an "id" if `ids` is
-            filled in, otherwise plotly attempts to find a matching
-            item in `labels`.
-        marker
-            :class:`plotly.graph_objects.treemap.Marker` instance
-            or dict with compatible properties
-        maxdepth
-            Sets the number of rendered sectors from any given
-            `level`. Set `maxdepth` to "-1" to render all the
-            levels in the hierarchy.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        outsidetextfont
-            Sets the font used for `textinfo` lying outside the
-            sector. This option refers to the root of the hierarchy
-            presented on top left corner of a treemap graph. Please
-            note that if a hierarchy has multiple root nodes, this
-            option won't have any effect and `insidetextfont` would
-            be used.
-        parents
-            Sets the parent sectors for each of the sectors. Empty
-            string items '' are understood to reference the root
-            node in the hierarchy. If `ids` is filled, `parents`
-            items are understood to be "ids" themselves. When `ids`
-            is not set, plotly attempts to find matching items in
-            `labels`, but beware they must be unique.
-        parentssrc
-            Sets the source reference on Chart Studio Cloud for
-            parents .
-        pathbar
-            :class:`plotly.graph_objects.treemap.Pathbar` instance
-            or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.treemap.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textposition
-            Sets the positions of the `text` elements.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables
-            `currentPath`, `root`, `entry`, `percentRoot`,
-            `percentEntry`, `percentParent`, `label` and `value`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        tiling
-            :class:`plotly.graph_objects.treemap.Tiling` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values associated with each of the sectors.
-            Use with `branchvalues` to determine how the values are
-            summed.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        branchvalues=None,
-        count=None,
-        customdata=None,
-        customdatasrc=None,
-        domain=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        insidetextfont=None,
-        labels=None,
-        labelssrc=None,
-        level=None,
-        marker=None,
-        maxdepth=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        outsidetextfont=None,
-        parents=None,
-        parentssrc=None,
-        pathbar=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textinfo=None,
-        textposition=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        tiling=None,
-        uid=None,
-        uirevision=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Treemap object
-        
-        Visualize hierarchal data from leaves (and/or outer branches)
-        towards root with rectangles. The treemap sectors are
-        determined by the entries in "labels" or "ids" and in
-        "parents".
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Treemap`
-        branchvalues
-            Determines how the items in `values` are summed. When
-            set to "total", items in `values` are taken to be value
-            of all its descendants. When set to "remainder", items
-            in `values` corresponding to the root and the branches
-            sectors are taken to be the extra part not part of the
-            sum of the values at their leaves.
-        count
-            Determines default for `values` when it is not
-            provided, by inferring a 1 for each of the "leaves"
-            and/or "branches", otherwise 0.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.treemap.Domain` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.treemap.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `currentPath`, `root`,
-            `entry`, `percentRoot`, `percentEntry` and
-            `percentParent`. Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        labels
-            Sets the labels of each of the sectors.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        level
-            Sets the level from which this trace hierarchy is
-            rendered. Set `level` to `''` to start from the root
-            node in the hierarchy. Must be an "id" if `ids` is
-            filled in, otherwise plotly attempts to find a matching
-            item in `labels`.
-        marker
-            :class:`plotly.graph_objects.treemap.Marker` instance
-            or dict with compatible properties
-        maxdepth
-            Sets the number of rendered sectors from any given
-            `level`. Set `maxdepth` to "-1" to render all the
-            levels in the hierarchy.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        outsidetextfont
-            Sets the font used for `textinfo` lying outside the
-            sector. This option refers to the root of the hierarchy
-            presented on top left corner of a treemap graph. Please
-            note that if a hierarchy has multiple root nodes, this
-            option won't have any effect and `insidetextfont` would
-            be used.
-        parents
-            Sets the parent sectors for each of the sectors. Empty
-            string items '' are understood to reference the root
-            node in the hierarchy. If `ids` is filled, `parents`
-            items are understood to be "ids" themselves. When `ids`
-            is not set, plotly attempts to find matching items in
-            `labels`, but beware they must be unique.
-        parentssrc
-            Sets the source reference on Chart Studio Cloud for
-            parents .
-        pathbar
-            :class:`plotly.graph_objects.treemap.Pathbar` instance
-            or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.treemap.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textposition
-            Sets the positions of the `text` elements.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables
-            `currentPath`, `root`, `entry`, `percentRoot`,
-            `percentEntry`, `percentParent`, `label` and `value`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        tiling
-            :class:`plotly.graph_objects.treemap.Tiling` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values associated with each of the sectors.
-            Use with `branchvalues` to determine how the values are
-            summed.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Treemap
-        """
-        super(Treemap, self).__init__("treemap")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Treemap 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Treemap`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import treemap as v_treemap
-
-        # Initialize validators
-        # ---------------------
-        self._validators["branchvalues"] = v_treemap.BranchvaluesValidator()
-        self._validators["count"] = v_treemap.CountValidator()
-        self._validators["customdata"] = v_treemap.CustomdataValidator()
-        self._validators["customdatasrc"] = v_treemap.CustomdatasrcValidator()
-        self._validators["domain"] = v_treemap.DomainValidator()
-        self._validators["hoverinfo"] = v_treemap.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_treemap.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_treemap.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_treemap.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_treemap.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_treemap.HovertextValidator()
-        self._validators["hovertextsrc"] = v_treemap.HovertextsrcValidator()
-        self._validators["ids"] = v_treemap.IdsValidator()
-        self._validators["idssrc"] = v_treemap.IdssrcValidator()
-        self._validators["insidetextfont"] = v_treemap.InsidetextfontValidator()
-        self._validators["labels"] = v_treemap.LabelsValidator()
-        self._validators["labelssrc"] = v_treemap.LabelssrcValidator()
-        self._validators["level"] = v_treemap.LevelValidator()
-        self._validators["marker"] = v_treemap.MarkerValidator()
-        self._validators["maxdepth"] = v_treemap.MaxdepthValidator()
-        self._validators["meta"] = v_treemap.MetaValidator()
-        self._validators["metasrc"] = v_treemap.MetasrcValidator()
-        self._validators["name"] = v_treemap.NameValidator()
-        self._validators["opacity"] = v_treemap.OpacityValidator()
-        self._validators["outsidetextfont"] = v_treemap.OutsidetextfontValidator()
-        self._validators["parents"] = v_treemap.ParentsValidator()
-        self._validators["parentssrc"] = v_treemap.ParentssrcValidator()
-        self._validators["pathbar"] = v_treemap.PathbarValidator()
-        self._validators["stream"] = v_treemap.StreamValidator()
-        self._validators["text"] = v_treemap.TextValidator()
-        self._validators["textfont"] = v_treemap.TextfontValidator()
-        self._validators["textinfo"] = v_treemap.TextinfoValidator()
-        self._validators["textposition"] = v_treemap.TextpositionValidator()
-        self._validators["textsrc"] = v_treemap.TextsrcValidator()
-        self._validators["texttemplate"] = v_treemap.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_treemap.TexttemplatesrcValidator()
-        self._validators["tiling"] = v_treemap.TilingValidator()
-        self._validators["uid"] = v_treemap.UidValidator()
-        self._validators["uirevision"] = v_treemap.UirevisionValidator()
-        self._validators["values"] = v_treemap.ValuesValidator()
-        self._validators["valuessrc"] = v_treemap.ValuessrcValidator()
-        self._validators["visible"] = v_treemap.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("branchvalues", None)
-        self["branchvalues"] = branchvalues if branchvalues is not None else _v
-        _v = arg.pop("count", None)
-        self["count"] = count if count is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("labels", None)
-        self["labels"] = labels if labels is not None else _v
-        _v = arg.pop("labelssrc", None)
-        self["labelssrc"] = labelssrc if labelssrc is not None else _v
-        _v = arg.pop("level", None)
-        self["level"] = level if level is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("maxdepth", None)
-        self["maxdepth"] = maxdepth if maxdepth is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("outsidetextfont", None)
-        self["outsidetextfont"] = outsidetextfont if outsidetextfont is not None else _v
-        _v = arg.pop("parents", None)
-        self["parents"] = parents if parents is not None else _v
-        _v = arg.pop("parentssrc", None)
-        self["parentssrc"] = parentssrc if parentssrc is not None else _v
-        _v = arg.pop("pathbar", None)
-        self["pathbar"] = pathbar if pathbar is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textinfo", None)
-        self["textinfo"] = textinfo if textinfo is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("tiling", None)
-        self["tiling"] = tiling if tiling is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "treemap"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="treemap", val="treemap"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Table(_BaseTraceType):
-
-    # cells
-    # -----
-    @property
-    def cells(self):
-        """
-        The 'cells' property is an instance of Cells
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.Cells`
-          - A dict of string/value properties that will be passed
-            to the Cells constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the `text`
-                    within the box. Has an effect only if `text`
-                    spans two or more lines (i.e. `text` contains
-                    one or more <br> HTML tags) or if an explicit
-                    width is set to override the text width.
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                fill
-                    :class:`plotly.graph_objects.table.cells.Fill`
-                    instance or dict with compatible properties
-                font
-                    :class:`plotly.graph_objects.table.cells.Font`
-                    instance or dict with compatible properties
-                format
-                    Sets the cell value formatting rule using d3
-                    formatting mini-language which is similar to
-                    those of Python. See
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                formatsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  format .
-                height
-                    The height of cells.
-                line
-                    :class:`plotly.graph_objects.table.cells.Line`
-                    instance or dict with compatible properties
-                prefix
-                    Prefix for cell values.
-                prefixsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  prefix .
-                suffix
-                    Suffix for cell values.
-                suffixsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  suffix .
-                values
-                    Cell values. `values[m][n]` represents the
-                    value of the `n`th point in column `m`,
-                    therefore the `values[m]` vector length for all
-                    columns must be the same (longer vectors will
-                    be truncated). Each value must be a finite
-                    number or a string.
-                valuessrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  values .
-
-        Returns
-        -------
-        plotly.graph_objs.table.Cells
-        """
-        return self["cells"]
-
-    @cells.setter
-    def cells(self, val):
-        self["cells"] = val
-
-    # columnorder
-    # -----------
-    @property
-    def columnorder(self):
-        """
-        Specifies the rendered order of the data columns; for example,
-        a value `2` at position `0` means that column index `0` in the
-        data will be rendered as the third column, as columns have an
-        index base of zero.
-    
-        The 'columnorder' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["columnorder"]
-
-    @columnorder.setter
-    def columnorder(self, val):
-        self["columnorder"] = val
-
-    # columnordersrc
-    # --------------
-    @property
-    def columnordersrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        columnorder .
-    
-        The 'columnordersrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["columnordersrc"]
-
-    @columnordersrc.setter
-    def columnordersrc(self, val):
-        self["columnordersrc"] = val
-
-    # columnwidth
-    # -----------
-    @property
-    def columnwidth(self):
-        """
-        The width of columns expressed as a ratio. Columns fill the
-        available width in proportion of their specified column widths.
-    
-        The 'columnwidth' property is a number and may be specified as:
-          - An int or float
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["columnwidth"]
-
-    @columnwidth.setter
-    def columnwidth(self, val):
-        self["columnwidth"] = val
-
-    # columnwidthsrc
-    # --------------
-    @property
-    def columnwidthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        columnwidth .
-    
-        The 'columnwidthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["columnwidthsrc"]
-
-    @columnwidthsrc.setter
-    def columnwidthsrc(self, val):
-        self["columnwidthsrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this table trace .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this table trace .
-                x
-                    Sets the horizontal domain of this table trace
-                    (in plot fraction).
-                y
-                    Sets the vertical domain of this table trace
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.table.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # header
-    # ------
-    @property
-    def header(self):
-        """
-        The 'header' property is an instance of Header
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.Header`
-          - A dict of string/value properties that will be passed
-            to the Header constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the `text`
-                    within the box. Has an effect only if `text`
-                    spans two or more lines (i.e. `text` contains
-                    one or more <br> HTML tags) or if an explicit
-                    width is set to override the text width.
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                fill
-                    :class:`plotly.graph_objects.table.header.Fill`
-                    instance or dict with compatible properties
-                font
-                    :class:`plotly.graph_objects.table.header.Font`
-                    instance or dict with compatible properties
-                format
-                    Sets the cell value formatting rule using d3
-                    formatting mini-language which is similar to
-                    those of Python. See
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                formatsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  format .
-                height
-                    The height of cells.
-                line
-                    :class:`plotly.graph_objects.table.header.Line`
-                    instance or dict with compatible properties
-                prefix
-                    Prefix for cell values.
-                prefixsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  prefix .
-                suffix
-                    Suffix for cell values.
-                suffixsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  suffix .
-                values
-                    Header cell values. `values[m][n]` represents
-                    the value of the `n`th point in column `m`,
-                    therefore the `values[m]` vector length for all
-                    columns must be the same (longer vectors will
-                    be truncated). Each value must be a finite
-                    number or a string.
-                valuessrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  values .
-
-        Returns
-        -------
-        plotly.graph_objs.table.Header
-        """
-        return self["header"]
-
-    @header.setter
-    def header(self, val):
-        self["header"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.table.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.table.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        cells
-            :class:`plotly.graph_objects.table.Cells` instance or
-            dict with compatible properties
-        columnorder
-            Specifies the rendered order of the data columns; for
-            example, a value `2` at position `0` means that column
-            index `0` in the data will be rendered as the third
-            column, as columns have an index base of zero.
-        columnordersrc
-            Sets the source reference on Chart Studio Cloud for
-            columnorder .
-        columnwidth
-            The width of columns expressed as a ratio. Columns fill
-            the available width in proportion of their specified
-            column widths.
-        columnwidthsrc
-            Sets the source reference on Chart Studio Cloud for
-            columnwidth .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.table.Domain` instance or
-            dict with compatible properties
-        header
-            :class:`plotly.graph_objects.table.Header` instance or
-            dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.table.Hoverlabel` instance
-            or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        stream
-            :class:`plotly.graph_objects.table.Stream` instance or
-            dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        cells=None,
-        columnorder=None,
-        columnordersrc=None,
-        columnwidth=None,
-        columnwidthsrc=None,
-        customdata=None,
-        customdatasrc=None,
-        domain=None,
-        header=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        ids=None,
-        idssrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        stream=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Table object
-        
-        Table view for detailed data viewing. The data are arranged in
-        a grid of rows and columns. Most styling can be specified for
-        columns, rows or individual cells. Table is using a column-
-        major order, ie. the grid is represented as a vector of column
-        vectors.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Table`
-        cells
-            :class:`plotly.graph_objects.table.Cells` instance or
-            dict with compatible properties
-        columnorder
-            Specifies the rendered order of the data columns; for
-            example, a value `2` at position `0` means that column
-            index `0` in the data will be rendered as the third
-            column, as columns have an index base of zero.
-        columnordersrc
-            Sets the source reference on Chart Studio Cloud for
-            columnorder .
-        columnwidth
-            The width of columns expressed as a ratio. Columns fill
-            the available width in proportion of their specified
-            column widths.
-        columnwidthsrc
-            Sets the source reference on Chart Studio Cloud for
-            columnwidth .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.table.Domain` instance or
-            dict with compatible properties
-        header
-            :class:`plotly.graph_objects.table.Header` instance or
-            dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.table.Hoverlabel` instance
-            or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        stream
-            :class:`plotly.graph_objects.table.Stream` instance or
-            dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Table
-        """
-        super(Table, self).__init__("table")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Table 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Table`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import table as v_table
-
-        # Initialize validators
-        # ---------------------
-        self._validators["cells"] = v_table.CellsValidator()
-        self._validators["columnorder"] = v_table.ColumnorderValidator()
-        self._validators["columnordersrc"] = v_table.ColumnordersrcValidator()
-        self._validators["columnwidth"] = v_table.ColumnwidthValidator()
-        self._validators["columnwidthsrc"] = v_table.ColumnwidthsrcValidator()
-        self._validators["customdata"] = v_table.CustomdataValidator()
-        self._validators["customdatasrc"] = v_table.CustomdatasrcValidator()
-        self._validators["domain"] = v_table.DomainValidator()
-        self._validators["header"] = v_table.HeaderValidator()
-        self._validators["hoverinfo"] = v_table.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_table.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_table.HoverlabelValidator()
-        self._validators["ids"] = v_table.IdsValidator()
-        self._validators["idssrc"] = v_table.IdssrcValidator()
-        self._validators["meta"] = v_table.MetaValidator()
-        self._validators["metasrc"] = v_table.MetasrcValidator()
-        self._validators["name"] = v_table.NameValidator()
-        self._validators["stream"] = v_table.StreamValidator()
-        self._validators["uid"] = v_table.UidValidator()
-        self._validators["uirevision"] = v_table.UirevisionValidator()
-        self._validators["visible"] = v_table.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("cells", None)
-        self["cells"] = cells if cells is not None else _v
-        _v = arg.pop("columnorder", None)
-        self["columnorder"] = columnorder if columnorder is not None else _v
-        _v = arg.pop("columnordersrc", None)
-        self["columnordersrc"] = columnordersrc if columnordersrc is not None else _v
-        _v = arg.pop("columnwidth", None)
-        self["columnwidth"] = columnwidth if columnwidth is not None else _v
-        _v = arg.pop("columnwidthsrc", None)
-        self["columnwidthsrc"] = columnwidthsrc if columnwidthsrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("header", None)
-        self["header"] = header if header is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "table"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="table", val="table"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Surface(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here z or surfacecolor) or the
-        bounds set in `cmin` and `cmax`  Defaults to `false` when
-        `cmin` and `cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as z or surfacecolor and if set, `cmin` must be set
-        as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as z or surfacecolor. Has no effect when `cauto` is
-        `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as z or surfacecolor and if set, `cmax` must be set
-        as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.surface
-                    .colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.surface.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of surface.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.surface.colorbar.T
-                    itle` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    surface.colorbar.title.font instead. Sets this
-                    color bar's title font. Note that the title's
-                    font used to be set by the now deprecated
-                    `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    surface.colorbar.title.side instead. Determines
-                    the location of color bar's title with respect
-                    to the color bar. Note that the title's
-                    location used to be set by the now deprecated
-                    `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the `z` data are filled in.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # contours
-    # --------
-    @property
-    def contours(self):
-        """
-        The 'contours' property is an instance of Contours
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.Contours`
-          - A dict of string/value properties that will be passed
-            to the Contours constructor
-    
-            Supported dict properties:
-                
-                x
-                    :class:`plotly.graph_objects.surface.contours.X
-                    ` instance or dict with compatible properties
-                y
-                    :class:`plotly.graph_objects.surface.contours.Y
-                    ` instance or dict with compatible properties
-                z
-                    :class:`plotly.graph_objects.surface.contours.Z
-                    ` instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.surface.Contours
-        """
-        return self["contours"]
-
-    @contours.setter
-    def contours(self, val):
-        self["contours"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hidesurface
-    # -----------
-    @property
-    def hidesurface(self):
-        """
-        Determines whether or not a surface is drawn. For example, set
-        `hidesurface` to False `contours.x.show` to True and
-        `contours.y.show` to True to draw a wire frame plot.
-    
-        The 'hidesurface' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["hidesurface"]
-
-    @hidesurface.setter
-    def hidesurface(self, val):
-        self["hidesurface"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.surface.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lighting
-    # --------
-    @property
-    def lighting(self):
-        """
-        The 'lighting' property is an instance of Lighting
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.Lighting`
-          - A dict of string/value properties that will be passed
-            to the Lighting constructor
-    
-            Supported dict properties:
-                
-                ambient
-                    Ambient light increases overall color
-                    visibility but can wash out the image.
-                diffuse
-                    Represents the extent that incident rays are
-                    reflected in a range of angles.
-                fresnel
-                    Represents the reflectance as a dependency of
-                    the viewing angle; e.g. paper is reflective
-                    when viewing it from the edge of the paper
-                    (almost 90 degrees), causing shine.
-                roughness
-                    Alters specular reflection; the rougher the
-                    surface, the wider and less contrasty the
-                    shine.
-                specular
-                    Represents the level that incident rays are
-                    reflected in a single direction, causing shine.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.Lighting
-        """
-        return self["lighting"]
-
-    @lighting.setter
-    def lighting(self, val):
-        self["lighting"] = val
-
-    # lightposition
-    # -------------
-    @property
-    def lightposition(self):
-        """
-        The 'lightposition' property is an instance of Lightposition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.Lightposition`
-          - A dict of string/value properties that will be passed
-            to the Lightposition constructor
-    
-            Supported dict properties:
-                
-                x
-                    Numeric vector, representing the X coordinate
-                    for each vertex.
-                y
-                    Numeric vector, representing the Y coordinate
-                    for each vertex.
-                z
-                    Numeric vector, representing the Z coordinate
-                    for each vertex.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.Lightposition
-        """
-        return self["lightposition"]
-
-    @lightposition.setter
-    def lightposition(self, val):
-        self["lightposition"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the surface. Please note that in the case
-        of using high `opacity` values for example a value greater than
-        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
-        an overlay of multiple transparent surfaces may not perfectly
-        be sorted in depth by the webgl API. This behavior may be
-        improved in the near future and is subject to change.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacityscale
-    # ------------
-    @property
-    def opacityscale(self):
-        """
-        Sets the opacityscale. The opacityscale must be an array
-        containing arrays mapping a normalized value to an opacity
-        value. At minimum, a mapping for the lowest (0) and highest (1)
-        values are required. For example, `[[0, 1], [0.5, 0.2], [1,
-        1]]` means that higher/lower values would have higher opacity
-        values and those in the middle would be more transparent
-        Alternatively, `opacityscale` may be a palette name string of
-        the following list: 'min', 'max', 'extremes' and 'uniform'. The
-        default is 'uniform'.
-    
-        The 'opacityscale' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["opacityscale"]
-
-    @opacityscale.setter
-    def opacityscale(self, val):
-        self["opacityscale"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # surfacecolor
-    # ------------
-    @property
-    def surfacecolor(self):
-        """
-        Sets the surface color values, used for setting a color scale
-        independent of `z`.
-    
-        The 'surfacecolor' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["surfacecolor"]
-
-    @surfacecolor.setter
-    def surfacecolor(self, val):
-        self["surfacecolor"] = val
-
-    # surfacecolorsrc
-    # ---------------
-    @property
-    def surfacecolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        surfacecolor .
-    
-        The 'surfacecolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["surfacecolorsrc"]
-
-    @surfacecolorsrc.setter
-    def surfacecolorsrc(self, val):
-        self["surfacecolorsrc"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each z value. If trace
-        `hoverinfo` contains a "text" flag and "hovertext" is not set,
-        these elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z coordinates.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zcalendar
-    # ---------
-    @property
-    def zcalendar(self):
-        """
-        Sets the calendar system to use with `z` date data.
-    
-        The 'zcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["zcalendar"]
-
-    @zcalendar.setter
-    def zcalendar(self, val):
-        self["zcalendar"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here z or surfacecolor)
-            or the bounds set in `cmin` and `cmax`  Defaults to
-            `false` when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as z or surfacecolor and if set,
-            `cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as z or surfacecolor.
-            Has no effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as z or surfacecolor and if set,
-            `cmax` must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.surface.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data are filled in.
-        contours
-            :class:`plotly.graph_objects.surface.Contours` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hidesurface
-            Determines whether or not a surface is drawn. For
-            example, set `hidesurface` to False `contours.x.show`
-            to True and `contours.y.show` to True to draw a wire
-            frame plot.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.surface.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.surface.Lighting` instance
-            or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.surface.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        opacityscale
-            Sets the opacityscale. The opacityscale must be an
-            array containing arrays mapping a normalized value to
-            an opacity value. At minimum, a mapping for the lowest
-            (0) and highest (1) values are required. For example,
-            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
-            values would have higher opacity values and those in
-            the middle would be more transparent Alternatively,
-            `opacityscale` may be a palette name string of the
-            following list: 'min', 'max', 'extremes' and 'uniform'.
-            The default is 'uniform'.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.surface.Stream` instance
-            or dict with compatible properties
-        surfacecolor
-            Sets the surface color values, used for setting a color
-            scale independent of `z`.
-        surfacecolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            surfacecolor .
-        text
-            Sets the text elements associated with each z value. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates.
-        zcalendar
-            Sets the calendar system to use with `z` date data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        connectgaps=None,
-        contours=None,
-        customdata=None,
-        customdatasrc=None,
-        hidesurface=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        lighting=None,
-        lightposition=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        opacityscale=None,
-        reversescale=None,
-        scene=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        surfacecolor=None,
-        surfacecolorsrc=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        ycalendar=None,
-        ysrc=None,
-        z=None,
-        zcalendar=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Surface object
-        
-        The data the describes the coordinates of the surface is set in
-        `z`. Data in `z` should be a 2D list. Coordinates in `x` and
-        `y` can either be 1D lists or 2D lists (e.g. to graph
-        parametric surfaces). If not provided in `x` and `y`, the x and
-        y coordinates are assumed to be linear starting at 0 with a
-        unit step. The color scale corresponds to the `z` values by
-        default. For custom color scales, use `surfacecolor` which
-        should be a 2D list, where its bounds can be controlled using
-        `cmin` and `cmax`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Surface`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here z or surfacecolor)
-            or the bounds set in `cmin` and `cmax`  Defaults to
-            `false` when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as z or surfacecolor and if set,
-            `cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as z or surfacecolor.
-            Has no effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as z or surfacecolor and if set,
-            `cmax` must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.surface.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data are filled in.
-        contours
-            :class:`plotly.graph_objects.surface.Contours` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hidesurface
-            Determines whether or not a surface is drawn. For
-            example, set `hidesurface` to False `contours.x.show`
-            to True and `contours.y.show` to True to draw a wire
-            frame plot.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.surface.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.surface.Lighting` instance
-            or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.surface.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        opacityscale
-            Sets the opacityscale. The opacityscale must be an
-            array containing arrays mapping a normalized value to
-            an opacity value. At minimum, a mapping for the lowest
-            (0) and highest (1) values are required. For example,
-            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
-            values would have higher opacity values and those in
-            the middle would be more transparent Alternatively,
-            `opacityscale` may be a palette name string of the
-            following list: 'min', 'max', 'extremes' and 'uniform'.
-            The default is 'uniform'.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.surface.Stream` instance
-            or dict with compatible properties
-        surfacecolor
-            Sets the surface color values, used for setting a color
-            scale independent of `z`.
-        surfacecolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            surfacecolor .
-        text
-            Sets the text elements associated with each z value. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates.
-        zcalendar
-            Sets the calendar system to use with `z` date data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Surface
-        """
-        super(Surface, self).__init__("surface")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Surface 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Surface`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import surface as v_surface
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_surface.AutocolorscaleValidator()
-        self._validators["cauto"] = v_surface.CautoValidator()
-        self._validators["cmax"] = v_surface.CmaxValidator()
-        self._validators["cmid"] = v_surface.CmidValidator()
-        self._validators["cmin"] = v_surface.CminValidator()
-        self._validators["coloraxis"] = v_surface.ColoraxisValidator()
-        self._validators["colorbar"] = v_surface.ColorBarValidator()
-        self._validators["colorscale"] = v_surface.ColorscaleValidator()
-        self._validators["connectgaps"] = v_surface.ConnectgapsValidator()
-        self._validators["contours"] = v_surface.ContoursValidator()
-        self._validators["customdata"] = v_surface.CustomdataValidator()
-        self._validators["customdatasrc"] = v_surface.CustomdatasrcValidator()
-        self._validators["hidesurface"] = v_surface.HidesurfaceValidator()
-        self._validators["hoverinfo"] = v_surface.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_surface.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_surface.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_surface.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_surface.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_surface.HovertextValidator()
-        self._validators["hovertextsrc"] = v_surface.HovertextsrcValidator()
-        self._validators["ids"] = v_surface.IdsValidator()
-        self._validators["idssrc"] = v_surface.IdssrcValidator()
-        self._validators["legendgroup"] = v_surface.LegendgroupValidator()
-        self._validators["lighting"] = v_surface.LightingValidator()
-        self._validators["lightposition"] = v_surface.LightpositionValidator()
-        self._validators["meta"] = v_surface.MetaValidator()
-        self._validators["metasrc"] = v_surface.MetasrcValidator()
-        self._validators["name"] = v_surface.NameValidator()
-        self._validators["opacity"] = v_surface.OpacityValidator()
-        self._validators["opacityscale"] = v_surface.OpacityscaleValidator()
-        self._validators["reversescale"] = v_surface.ReversescaleValidator()
-        self._validators["scene"] = v_surface.SceneValidator()
-        self._validators["showlegend"] = v_surface.ShowlegendValidator()
-        self._validators["showscale"] = v_surface.ShowscaleValidator()
-        self._validators["stream"] = v_surface.StreamValidator()
-        self._validators["surfacecolor"] = v_surface.SurfacecolorValidator()
-        self._validators["surfacecolorsrc"] = v_surface.SurfacecolorsrcValidator()
-        self._validators["text"] = v_surface.TextValidator()
-        self._validators["textsrc"] = v_surface.TextsrcValidator()
-        self._validators["uid"] = v_surface.UidValidator()
-        self._validators["uirevision"] = v_surface.UirevisionValidator()
-        self._validators["visible"] = v_surface.VisibleValidator()
-        self._validators["x"] = v_surface.XValidator()
-        self._validators["xcalendar"] = v_surface.XcalendarValidator()
-        self._validators["xsrc"] = v_surface.XsrcValidator()
-        self._validators["y"] = v_surface.YValidator()
-        self._validators["ycalendar"] = v_surface.YcalendarValidator()
-        self._validators["ysrc"] = v_surface.YsrcValidator()
-        self._validators["z"] = v_surface.ZValidator()
-        self._validators["zcalendar"] = v_surface.ZcalendarValidator()
-        self._validators["zsrc"] = v_surface.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("contours", None)
-        self["contours"] = contours if contours is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hidesurface", None)
-        self["hidesurface"] = hidesurface if hidesurface is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lighting", None)
-        self["lighting"] = lighting if lighting is not None else _v
-        _v = arg.pop("lightposition", None)
-        self["lightposition"] = lightposition if lightposition is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacityscale", None)
-        self["opacityscale"] = opacityscale if opacityscale is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("surfacecolor", None)
-        self["surfacecolor"] = surfacecolor if surfacecolor is not None else _v
-        _v = arg.pop("surfacecolorsrc", None)
-        self["surfacecolorsrc"] = surfacecolorsrc if surfacecolorsrc is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zcalendar", None)
-        self["zcalendar"] = zcalendar if zcalendar is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "surface"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="surface", val="surface"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Sunburst(_BaseTraceType):
-
-    # branchvalues
-    # ------------
-    @property
-    def branchvalues(self):
-        """
-        Determines how the items in `values` are summed. When set to
-        "total", items in `values` are taken to be value of all its
-        descendants. When set to "remainder", items in `values`
-        corresponding to the root and the branches sectors are taken to
-        be the extra part not part of the sum of the values at their
-        leaves.
-    
-        The 'branchvalues' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['remainder', 'total']
-
-        Returns
-        -------
-        Any
-        """
-        return self["branchvalues"]
-
-    @branchvalues.setter
-    def branchvalues(self, val):
-        self["branchvalues"] = val
-
-    # count
-    # -----
-    @property
-    def count(self):
-        """
-        Determines default for `values` when it is not provided, by
-        inferring a 1 for each of the "leaves" and/or "branches",
-        otherwise 0.
-    
-        The 'count' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['branches', 'leaves'] joined with '+' characters
-            (e.g. 'branches+leaves')
-
-        Returns
-        -------
-        Any
-        """
-        return self["count"]
-
-    @count.setter
-    def count(self, val):
-        self["count"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this sunburst trace
-                    .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this sunburst trace .
-                x
-                    Sets the horizontal domain of this sunburst
-                    trace (in plot fraction).
-                y
-                    Sets the vertical domain of this sunburst trace
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'name', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `currentPath`, `root`, `entry`, `percentRoot`,
-        `percentEntry` and `percentParent`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each sector. If a
-        single string, the same string appears for all data points. If
-        an array of string, the items are mapped in order of this
-        trace's sectors. To be seen, trace `hoverinfo` must contain a
-        "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying inside the sector.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # insidetextorientation
-    # ---------------------
-    @property
-    def insidetextorientation(self):
-        """
-        Controls the orientation of the text inside chart sectors. When
-        set to "auto", text may be oriented in any direction in order
-        to be as big as possible in the middle of a sector. The
-        "horizontal" option orients text to be parallel with the bottom
-        of the chart, and may make text smaller in order to achieve
-        that goal. The "radial" option orients text along the radius of
-        the sector. The "tangential" option orients text perpendicular
-        to the radius of the sector.
-    
-        The 'insidetextorientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['horizontal', 'radial', 'tangential', 'auto']
-
-        Returns
-        -------
-        Any
-        """
-        return self["insidetextorientation"]
-
-    @insidetextorientation.setter
-    def insidetextorientation(self, val):
-        self["insidetextorientation"] = val
-
-    # labels
-    # ------
-    @property
-    def labels(self):
-        """
-        Sets the labels of each of the sectors.
-    
-        The 'labels' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["labels"]
-
-    @labels.setter
-    def labels(self, val):
-        self["labels"] = val
-
-    # labelssrc
-    # ---------
-    @property
-    def labelssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  labels .
-    
-        The 'labelssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["labelssrc"]
-
-    @labelssrc.setter
-    def labelssrc(self, val):
-        self["labelssrc"] = val
-
-    # leaf
-    # ----
-    @property
-    def leaf(self):
-        """
-        The 'leaf' property is an instance of Leaf
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Leaf`
-          - A dict of string/value properties that will be passed
-            to the Leaf constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the opacity of the leaves. With colorscale
-                    it is defaulted to 1; otherwise it is defaulted
-                    to 0.7
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Leaf
-        """
-        return self["leaf"]
-
-    @leaf.setter
-    def leaf(self, val):
-        self["leaf"] = val
-
-    # level
-    # -----
-    @property
-    def level(self):
-        """
-        Sets the level from which this trace hierarchy is rendered. Set
-        `level` to `''` to start from the root node in the hierarchy.
-        Must be an "id" if `ids` is filled in, otherwise plotly
-        attempts to find a matching item in `labels`.
-    
-        The 'level' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["level"]
-
-    @level.setter
-    def level(self, val):
-        self["level"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if colorsis set to a numerical
-                    array. In case `colorscale` is unspecified or
-                    `autocolorscale` is true, the default  palette
-                    will be chosen according to whether numbers in
-                    the `color` array are all positive, all
-                    negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    colors) or the bounds set in `marker.cmin` and
-                    `marker.cmax`  Has an effect only if colorsis
-                    set to a numerical array. Defaults to `false`
-                    when `marker.cmin` and `marker.cmax` are set by
-                    the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if colorsis set to a numerical
-                    array. Value should have the same units as
-                    colors and if set, `marker.cmin` must be set as
-                    well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if colorsis set to a numerical array.
-                    Value should have the same units as colors. Has
-                    no effect when `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if colorsis set to a numerical
-                    array. Value should have the same units as
-                    colors and if set, `marker.cmax` must be set as
-                    well.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.sunburst.marker.Co
-                    lorBar` instance or dict with compatible
-                    properties
-                colors
-                    Sets the color of each sector of this trace. If
-                    not specified, the default trace color set is
-                    used to pick the sector colors.
-                colorscale
-                    Sets the colorscale. Has an effect only if
-                    colorsis set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  colors .
-                line
-                    :class:`plotly.graph_objects.sunburst.marker.Li
-                    ne` instance or dict with compatible properties
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if colorsis set to a numerical
-                    array. If true, `marker.cmin` will correspond
-                    to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    colorsis set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # maxdepth
-    # --------
-    @property
-    def maxdepth(self):
-        """
-        Sets the number of rendered sectors from any given `level`. Set
-        `maxdepth` to "-1" to render all the levels in the hierarchy.
-    
-        The 'maxdepth' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-
-        Returns
-        -------
-        int
-        """
-        return self["maxdepth"]
-
-    @maxdepth.setter
-    def maxdepth(self, val):
-        self["maxdepth"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # outsidetextfont
-    # ---------------
-    @property
-    def outsidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying outside the sector.
-        This option refers to the root of the hierarchy presented at
-        the center of a sunburst graph. Please note that if a hierarchy
-        has multiple root nodes, this option won't have any effect and
-        `insidetextfont` would be used.
-    
-        The 'outsidetextfont' property is an instance of Outsidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Outsidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Outsidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Outsidetextfont
-        """
-        return self["outsidetextfont"]
-
-    @outsidetextfont.setter
-    def outsidetextfont(self, val):
-        self["outsidetextfont"] = val
-
-    # parents
-    # -------
-    @property
-    def parents(self):
-        """
-        Sets the parent sectors for each of the sectors. Empty string
-        items '' are understood to reference the root node in the
-        hierarchy. If `ids` is filled, `parents` items are understood
-        to be "ids" themselves. When `ids` is not set, plotly attempts
-        to find matching items in `labels`, but beware they must be
-        unique.
-    
-        The 'parents' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["parents"]
-
-    @parents.setter
-    def parents(self, val):
-        self["parents"] = val
-
-    # parentssrc
-    # ----------
-    @property
-    def parentssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  parents .
-    
-        The 'parentssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["parentssrc"]
-
-    @parentssrc.setter
-    def parentssrc(self, val):
-        self["parentssrc"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each sector. If trace
-        `textinfo` contains a "text" flag, these elements will be seen
-        on the chart. If trace `hoverinfo` contains a "text" flag and
-        "hovertext" is not set, these elements will be seen in the
-        hover labels.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `textinfo`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textinfo
-    # --------
-    @property
-    def textinfo(self):
-        """
-        Determines which trace information appear on the graph.
-    
-        The 'textinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["textinfo"]
-
-    @textinfo.setter
-    def textinfo(self, val):
-        self["textinfo"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `currentPath`, `root`, `entry`,
-        `percentRoot`, `percentEntry`, `percentParent`, `label` and
-        `value`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the values associated with each of the sectors. Use with
-        `branchvalues` to determine how the values are summed.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        branchvalues
-            Determines how the items in `values` are summed. When
-            set to "total", items in `values` are taken to be value
-            of all its descendants. When set to "remainder", items
-            in `values` corresponding to the root and the branches
-            sectors are taken to be the extra part not part of the
-            sum of the values at their leaves.
-        count
-            Determines default for `values` when it is not
-            provided, by inferring a 1 for each of the "leaves"
-            and/or "branches", otherwise 0.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.sunburst.Domain` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.sunburst.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `currentPath`, `root`,
-            `entry`, `percentRoot`, `percentEntry` and
-            `percentParent`. Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        insidetextorientation
-            Controls the orientation of the text inside chart
-            sectors. When set to "auto", text may be oriented in
-            any direction in order to be as big as possible in the
-            middle of a sector. The "horizontal" option orients
-            text to be parallel with the bottom of the chart, and
-            may make text smaller in order to achieve that goal.
-            The "radial" option orients text along the radius of
-            the sector. The "tangential" option orients text
-            perpendicular to the radius of the sector.
-        labels
-            Sets the labels of each of the sectors.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        leaf
-            :class:`plotly.graph_objects.sunburst.Leaf` instance or
-            dict with compatible properties
-        level
-            Sets the level from which this trace hierarchy is
-            rendered. Set `level` to `''` to start from the root
-            node in the hierarchy. Must be an "id" if `ids` is
-            filled in, otherwise plotly attempts to find a matching
-            item in `labels`.
-        marker
-            :class:`plotly.graph_objects.sunburst.Marker` instance
-            or dict with compatible properties
-        maxdepth
-            Sets the number of rendered sectors from any given
-            `level`. Set `maxdepth` to "-1" to render all the
-            levels in the hierarchy.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        outsidetextfont
-            Sets the font used for `textinfo` lying outside the
-            sector. This option refers to the root of the hierarchy
-            presented at the center of a sunburst graph. Please
-            note that if a hierarchy has multiple root nodes, this
-            option won't have any effect and `insidetextfont` would
-            be used.
-        parents
-            Sets the parent sectors for each of the sectors. Empty
-            string items '' are understood to reference the root
-            node in the hierarchy. If `ids` is filled, `parents`
-            items are understood to be "ids" themselves. When `ids`
-            is not set, plotly attempts to find matching items in
-            `labels`, but beware they must be unique.
-        parentssrc
-            Sets the source reference on Chart Studio Cloud for
-            parents .
-        stream
-            :class:`plotly.graph_objects.sunburst.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables
-            `currentPath`, `root`, `entry`, `percentRoot`,
-            `percentEntry`, `percentParent`, `label` and `value`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values associated with each of the sectors.
-            Use with `branchvalues` to determine how the values are
-            summed.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        branchvalues=None,
-        count=None,
-        customdata=None,
-        customdatasrc=None,
-        domain=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        insidetextfont=None,
-        insidetextorientation=None,
-        labels=None,
-        labelssrc=None,
-        leaf=None,
-        level=None,
-        marker=None,
-        maxdepth=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        outsidetextfont=None,
-        parents=None,
-        parentssrc=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textinfo=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Sunburst object
-        
-        Visualize hierarchal data spanning outward radially from root
-        to leaves. The sunburst sectors are determined by the entries
-        in "labels" or "ids" and in "parents".
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Sunburst`
-        branchvalues
-            Determines how the items in `values` are summed. When
-            set to "total", items in `values` are taken to be value
-            of all its descendants. When set to "remainder", items
-            in `values` corresponding to the root and the branches
-            sectors are taken to be the extra part not part of the
-            sum of the values at their leaves.
-        count
-            Determines default for `values` when it is not
-            provided, by inferring a 1 for each of the "leaves"
-            and/or "branches", otherwise 0.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.sunburst.Domain` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.sunburst.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `currentPath`, `root`,
-            `entry`, `percentRoot`, `percentEntry` and
-            `percentParent`. Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        insidetextorientation
-            Controls the orientation of the text inside chart
-            sectors. When set to "auto", text may be oriented in
-            any direction in order to be as big as possible in the
-            middle of a sector. The "horizontal" option orients
-            text to be parallel with the bottom of the chart, and
-            may make text smaller in order to achieve that goal.
-            The "radial" option orients text along the radius of
-            the sector. The "tangential" option orients text
-            perpendicular to the radius of the sector.
-        labels
-            Sets the labels of each of the sectors.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        leaf
-            :class:`plotly.graph_objects.sunburst.Leaf` instance or
-            dict with compatible properties
-        level
-            Sets the level from which this trace hierarchy is
-            rendered. Set `level` to `''` to start from the root
-            node in the hierarchy. Must be an "id" if `ids` is
-            filled in, otherwise plotly attempts to find a matching
-            item in `labels`.
-        marker
-            :class:`plotly.graph_objects.sunburst.Marker` instance
-            or dict with compatible properties
-        maxdepth
-            Sets the number of rendered sectors from any given
-            `level`. Set `maxdepth` to "-1" to render all the
-            levels in the hierarchy.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        outsidetextfont
-            Sets the font used for `textinfo` lying outside the
-            sector. This option refers to the root of the hierarchy
-            presented at the center of a sunburst graph. Please
-            note that if a hierarchy has multiple root nodes, this
-            option won't have any effect and `insidetextfont` would
-            be used.
-        parents
-            Sets the parent sectors for each of the sectors. Empty
-            string items '' are understood to reference the root
-            node in the hierarchy. If `ids` is filled, `parents`
-            items are understood to be "ids" themselves. When `ids`
-            is not set, plotly attempts to find matching items in
-            `labels`, but beware they must be unique.
-        parentssrc
-            Sets the source reference on Chart Studio Cloud for
-            parents .
-        stream
-            :class:`plotly.graph_objects.sunburst.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables
-            `currentPath`, `root`, `entry`, `percentRoot`,
-            `percentEntry`, `percentParent`, `label` and `value`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values associated with each of the sectors.
-            Use with `branchvalues` to determine how the values are
-            summed.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Sunburst
-        """
-        super(Sunburst, self).__init__("sunburst")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Sunburst 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Sunburst`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import sunburst as v_sunburst
-
-        # Initialize validators
-        # ---------------------
-        self._validators["branchvalues"] = v_sunburst.BranchvaluesValidator()
-        self._validators["count"] = v_sunburst.CountValidator()
-        self._validators["customdata"] = v_sunburst.CustomdataValidator()
-        self._validators["customdatasrc"] = v_sunburst.CustomdatasrcValidator()
-        self._validators["domain"] = v_sunburst.DomainValidator()
-        self._validators["hoverinfo"] = v_sunburst.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_sunburst.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_sunburst.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_sunburst.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_sunburst.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_sunburst.HovertextValidator()
-        self._validators["hovertextsrc"] = v_sunburst.HovertextsrcValidator()
-        self._validators["ids"] = v_sunburst.IdsValidator()
-        self._validators["idssrc"] = v_sunburst.IdssrcValidator()
-        self._validators["insidetextfont"] = v_sunburst.InsidetextfontValidator()
-        self._validators[
-            "insidetextorientation"
-        ] = v_sunburst.InsidetextorientationValidator()
-        self._validators["labels"] = v_sunburst.LabelsValidator()
-        self._validators["labelssrc"] = v_sunburst.LabelssrcValidator()
-        self._validators["leaf"] = v_sunburst.LeafValidator()
-        self._validators["level"] = v_sunburst.LevelValidator()
-        self._validators["marker"] = v_sunburst.MarkerValidator()
-        self._validators["maxdepth"] = v_sunburst.MaxdepthValidator()
-        self._validators["meta"] = v_sunburst.MetaValidator()
-        self._validators["metasrc"] = v_sunburst.MetasrcValidator()
-        self._validators["name"] = v_sunburst.NameValidator()
-        self._validators["opacity"] = v_sunburst.OpacityValidator()
-        self._validators["outsidetextfont"] = v_sunburst.OutsidetextfontValidator()
-        self._validators["parents"] = v_sunburst.ParentsValidator()
-        self._validators["parentssrc"] = v_sunburst.ParentssrcValidator()
-        self._validators["stream"] = v_sunburst.StreamValidator()
-        self._validators["text"] = v_sunburst.TextValidator()
-        self._validators["textfont"] = v_sunburst.TextfontValidator()
-        self._validators["textinfo"] = v_sunburst.TextinfoValidator()
-        self._validators["textsrc"] = v_sunburst.TextsrcValidator()
-        self._validators["texttemplate"] = v_sunburst.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_sunburst.TexttemplatesrcValidator()
-        self._validators["uid"] = v_sunburst.UidValidator()
-        self._validators["uirevision"] = v_sunburst.UirevisionValidator()
-        self._validators["values"] = v_sunburst.ValuesValidator()
-        self._validators["valuessrc"] = v_sunburst.ValuessrcValidator()
-        self._validators["visible"] = v_sunburst.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("branchvalues", None)
-        self["branchvalues"] = branchvalues if branchvalues is not None else _v
-        _v = arg.pop("count", None)
-        self["count"] = count if count is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("insidetextorientation", None)
-        self["insidetextorientation"] = (
-            insidetextorientation if insidetextorientation is not None else _v
-        )
-        _v = arg.pop("labels", None)
-        self["labels"] = labels if labels is not None else _v
-        _v = arg.pop("labelssrc", None)
-        self["labelssrc"] = labelssrc if labelssrc is not None else _v
-        _v = arg.pop("leaf", None)
-        self["leaf"] = leaf if leaf is not None else _v
-        _v = arg.pop("level", None)
-        self["level"] = level if level is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("maxdepth", None)
-        self["maxdepth"] = maxdepth if maxdepth is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("outsidetextfont", None)
-        self["outsidetextfont"] = outsidetextfont if outsidetextfont is not None else _v
-        _v = arg.pop("parents", None)
-        self["parents"] = parents if parents is not None else _v
-        _v = arg.pop("parentssrc", None)
-        self["parentssrc"] = parentssrc if parentssrc is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textinfo", None)
-        self["textinfo"] = textinfo if textinfo is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "sunburst"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="sunburst", val="sunburst"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Streamtube(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here u/v/w norm) or the bounds set
-        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
-        `cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as u/v/w norm and if set, `cmin` must be set as
-        well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as u/v/w norm. Has no effect when `cauto` is
-        `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as u/v/w norm and if set, `cmax` must be set as
-        well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.streamt
-                    ube.colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.streamtube.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of streamtube.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.streamtube.colorba
-                    r.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    streamtube.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    streamtube.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'divergence', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `tubex`, `tubey`, `tubez`, `tubeu`, `tubev`, `tubew`,
-        `norm` and `divergence`. Anything contained in tag `<extra>` is
-        displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lighting
-    # --------
-    @property
-    def lighting(self):
-        """
-        The 'lighting' property is an instance of Lighting
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.Lighting`
-          - A dict of string/value properties that will be passed
-            to the Lighting constructor
-    
-            Supported dict properties:
-                
-                ambient
-                    Ambient light increases overall color
-                    visibility but can wash out the image.
-                diffuse
-                    Represents the extent that incident rays are
-                    reflected in a range of angles.
-                facenormalsepsilon
-                    Epsilon for face normals calculation avoids
-                    math issues arising from degenerate geometry.
-                fresnel
-                    Represents the reflectance as a dependency of
-                    the viewing angle; e.g. paper is reflective
-                    when viewing it from the edge of the paper
-                    (almost 90 degrees), causing shine.
-                roughness
-                    Alters specular reflection; the rougher the
-                    surface, the wider and less contrasty the
-                    shine.
-                specular
-                    Represents the level that incident rays are
-                    reflected in a single direction, causing shine.
-                vertexnormalsepsilon
-                    Epsilon for vertex normals calculation avoids
-                    math issues arising from degenerate geometry.
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.Lighting
-        """
-        return self["lighting"]
-
-    @lighting.setter
-    def lighting(self, val):
-        self["lighting"] = val
-
-    # lightposition
-    # -------------
-    @property
-    def lightposition(self):
-        """
-        The 'lightposition' property is an instance of Lightposition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.Lightposition`
-          - A dict of string/value properties that will be passed
-            to the Lightposition constructor
-    
-            Supported dict properties:
-                
-                x
-                    Numeric vector, representing the X coordinate
-                    for each vertex.
-                y
-                    Numeric vector, representing the Y coordinate
-                    for each vertex.
-                z
-                    Numeric vector, representing the Z coordinate
-                    for each vertex.
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.Lightposition
-        """
-        return self["lightposition"]
-
-    @lightposition.setter
-    def lightposition(self, val):
-        self["lightposition"] = val
-
-    # maxdisplayed
-    # ------------
-    @property
-    def maxdisplayed(self):
-        """
-        The maximum number of displayed segments in a streamtube.
-    
-        The 'maxdisplayed' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["maxdisplayed"]
-
-    @maxdisplayed.setter
-    def maxdisplayed(self, val):
-        self["maxdisplayed"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the surface. Please note that in the case
-        of using high `opacity` values for example a value greater than
-        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
-        an overlay of multiple transparent surfaces may not perfectly
-        be sorted in depth by the webgl API. This behavior may be
-        improved in the near future and is subject to change.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        The scaling factor for the streamtubes. The default is 1, which
-        avoids two max divergence tubes from touching at adjacent
-        starting positions.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # starts
-    # ------
-    @property
-    def starts(self):
-        """
-        The 'starts' property is an instance of Starts
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.Starts`
-          - A dict of string/value properties that will be passed
-            to the Starts constructor
-    
-            Supported dict properties:
-                
-                x
-                    Sets the x components of the starting position
-                    of the streamtubes
-                xsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  x .
-                y
-                    Sets the y components of the starting position
-                    of the streamtubes
-                ysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  y .
-                z
-                    Sets the z components of the starting position
-                    of the streamtubes
-                zsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  z .
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.Starts
-        """
-        return self["starts"]
-
-    @starts.setter
-    def starts(self, val):
-        self["starts"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets a text element associated with this trace. If trace
-        `hoverinfo` contains a "text" flag, this text element will be
-        seen in all hover labels. Note that streamtube traces do not
-        support array `text` values.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # u
-    # -
-    @property
-    def u(self):
-        """
-        Sets the x components of the vector field.
-    
-        The 'u' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["u"]
-
-    @u.setter
-    def u(self, val):
-        self["u"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # usrc
-    # ----
-    @property
-    def usrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  u .
-    
-        The 'usrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["usrc"]
-
-    @usrc.setter
-    def usrc(self, val):
-        self["usrc"] = val
-
-    # v
-    # -
-    @property
-    def v(self):
-        """
-        Sets the y components of the vector field.
-    
-        The 'v' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["v"]
-
-    @v.setter
-    def v(self, val):
-        self["v"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # vsrc
-    # ----
-    @property
-    def vsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  v .
-    
-        The 'vsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["vsrc"]
-
-    @vsrc.setter
-    def vsrc(self, val):
-        self["vsrc"] = val
-
-    # w
-    # -
-    @property
-    def w(self):
-        """
-        Sets the z components of the vector field.
-    
-        The 'w' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["w"]
-
-    @w.setter
-    def w(self, val):
-        self["w"] = val
-
-    # wsrc
-    # ----
-    @property
-    def wsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  w .
-    
-        The 'wsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["wsrc"]
-
-    @wsrc.setter
-    def wsrc(self, val):
-        self["wsrc"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates of the vector field.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates of the vector field.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z coordinates of the vector field.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here u/v/w norm) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as u/v/w norm. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.streamtube.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.streamtube.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `tubex`, `tubey`, `tubez`,
-            `tubeu`, `tubev`, `tubew`, `norm` and `divergence`.
-            Anything contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.streamtube.Lighting`
-            instance or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.streamtube.Lightposition`
-            instance or dict with compatible properties
-        maxdisplayed
-            The maximum number of displayed segments in a
-            streamtube.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        sizeref
-            The scaling factor for the streamtubes. The default is
-            1, which avoids two max divergence tubes from touching
-            at adjacent starting positions.
-        starts
-            :class:`plotly.graph_objects.streamtube.Starts`
-            instance or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.streamtube.Stream`
-            instance or dict with compatible properties
-        text
-            Sets a text element associated with this trace. If
-            trace `hoverinfo` contains a "text" flag, this text
-            element will be seen in all hover labels. Note that
-            streamtube traces do not support array `text` values.
-        u
-            Sets the x components of the vector field.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        usrc
-            Sets the source reference on Chart Studio Cloud for  u
-            .
-        v
-            Sets the y components of the vector field.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        vsrc
-            Sets the source reference on Chart Studio Cloud for  v
-            .
-        w
-            Sets the z components of the vector field.
-        wsrc
-            Sets the source reference on Chart Studio Cloud for  w
-            .
-        x
-            Sets the x coordinates of the vector field.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates of the vector field.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates of the vector field.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        lighting=None,
-        lightposition=None,
-        maxdisplayed=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        reversescale=None,
-        scene=None,
-        showlegend=None,
-        showscale=None,
-        sizeref=None,
-        starts=None,
-        stream=None,
-        text=None,
-        u=None,
-        uid=None,
-        uirevision=None,
-        usrc=None,
-        v=None,
-        visible=None,
-        vsrc=None,
-        w=None,
-        wsrc=None,
-        x=None,
-        xsrc=None,
-        y=None,
-        ysrc=None,
-        z=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Streamtube object
-        
-        Use a streamtube trace to visualize flow in a vector field.
-        Specify a vector field using 6 1D arrays of equal length, 3
-        position arrays `x`, `y` and `z` and 3 vector component arrays
-        `u`, `v`, and `w`.  By default, the tubes' starting positions
-        will be cut from the vector field's x-z plane at its minimum y
-        value. To specify your own starting position, use attributes
-        `starts.x`, `starts.y` and `starts.z`. The color is encoded by
-        the norm of (u, v, w), and the local radius by the divergence
-        of (u, v, w).
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Streamtube`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here u/v/w norm) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as u/v/w norm. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.streamtube.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.streamtube.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `tubex`, `tubey`, `tubez`,
-            `tubeu`, `tubev`, `tubew`, `norm` and `divergence`.
-            Anything contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.streamtube.Lighting`
-            instance or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.streamtube.Lightposition`
-            instance or dict with compatible properties
-        maxdisplayed
-            The maximum number of displayed segments in a
-            streamtube.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        sizeref
-            The scaling factor for the streamtubes. The default is
-            1, which avoids two max divergence tubes from touching
-            at adjacent starting positions.
-        starts
-            :class:`plotly.graph_objects.streamtube.Starts`
-            instance or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.streamtube.Stream`
-            instance or dict with compatible properties
-        text
-            Sets a text element associated with this trace. If
-            trace `hoverinfo` contains a "text" flag, this text
-            element will be seen in all hover labels. Note that
-            streamtube traces do not support array `text` values.
-        u
-            Sets the x components of the vector field.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        usrc
-            Sets the source reference on Chart Studio Cloud for  u
-            .
-        v
-            Sets the y components of the vector field.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        vsrc
-            Sets the source reference on Chart Studio Cloud for  v
-            .
-        w
-            Sets the z components of the vector field.
-        wsrc
-            Sets the source reference on Chart Studio Cloud for  w
-            .
-        x
-            Sets the x coordinates of the vector field.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates of the vector field.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates of the vector field.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Streamtube
-        """
-        super(Streamtube, self).__init__("streamtube")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Streamtube 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Streamtube`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import streamtube as v_streamtube
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_streamtube.AutocolorscaleValidator()
-        self._validators["cauto"] = v_streamtube.CautoValidator()
-        self._validators["cmax"] = v_streamtube.CmaxValidator()
-        self._validators["cmid"] = v_streamtube.CmidValidator()
-        self._validators["cmin"] = v_streamtube.CminValidator()
-        self._validators["coloraxis"] = v_streamtube.ColoraxisValidator()
-        self._validators["colorbar"] = v_streamtube.ColorBarValidator()
-        self._validators["colorscale"] = v_streamtube.ColorscaleValidator()
-        self._validators["customdata"] = v_streamtube.CustomdataValidator()
-        self._validators["customdatasrc"] = v_streamtube.CustomdatasrcValidator()
-        self._validators["hoverinfo"] = v_streamtube.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_streamtube.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_streamtube.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_streamtube.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_streamtube.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_streamtube.HovertextValidator()
-        self._validators["ids"] = v_streamtube.IdsValidator()
-        self._validators["idssrc"] = v_streamtube.IdssrcValidator()
-        self._validators["legendgroup"] = v_streamtube.LegendgroupValidator()
-        self._validators["lighting"] = v_streamtube.LightingValidator()
-        self._validators["lightposition"] = v_streamtube.LightpositionValidator()
-        self._validators["maxdisplayed"] = v_streamtube.MaxdisplayedValidator()
-        self._validators["meta"] = v_streamtube.MetaValidator()
-        self._validators["metasrc"] = v_streamtube.MetasrcValidator()
-        self._validators["name"] = v_streamtube.NameValidator()
-        self._validators["opacity"] = v_streamtube.OpacityValidator()
-        self._validators["reversescale"] = v_streamtube.ReversescaleValidator()
-        self._validators["scene"] = v_streamtube.SceneValidator()
-        self._validators["showlegend"] = v_streamtube.ShowlegendValidator()
-        self._validators["showscale"] = v_streamtube.ShowscaleValidator()
-        self._validators["sizeref"] = v_streamtube.SizerefValidator()
-        self._validators["starts"] = v_streamtube.StartsValidator()
-        self._validators["stream"] = v_streamtube.StreamValidator()
-        self._validators["text"] = v_streamtube.TextValidator()
-        self._validators["u"] = v_streamtube.UValidator()
-        self._validators["uid"] = v_streamtube.UidValidator()
-        self._validators["uirevision"] = v_streamtube.UirevisionValidator()
-        self._validators["usrc"] = v_streamtube.UsrcValidator()
-        self._validators["v"] = v_streamtube.VValidator()
-        self._validators["visible"] = v_streamtube.VisibleValidator()
-        self._validators["vsrc"] = v_streamtube.VsrcValidator()
-        self._validators["w"] = v_streamtube.WValidator()
-        self._validators["wsrc"] = v_streamtube.WsrcValidator()
-        self._validators["x"] = v_streamtube.XValidator()
-        self._validators["xsrc"] = v_streamtube.XsrcValidator()
-        self._validators["y"] = v_streamtube.YValidator()
-        self._validators["ysrc"] = v_streamtube.YsrcValidator()
-        self._validators["z"] = v_streamtube.ZValidator()
-        self._validators["zsrc"] = v_streamtube.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lighting", None)
-        self["lighting"] = lighting if lighting is not None else _v
-        _v = arg.pop("lightposition", None)
-        self["lightposition"] = lightposition if lightposition is not None else _v
-        _v = arg.pop("maxdisplayed", None)
-        self["maxdisplayed"] = maxdisplayed if maxdisplayed is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("starts", None)
-        self["starts"] = starts if starts is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("u", None)
-        self["u"] = u if u is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("usrc", None)
-        self["usrc"] = usrc if usrc is not None else _v
-        _v = arg.pop("v", None)
-        self["v"] = v if v is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("vsrc", None)
-        self["vsrc"] = vsrc if vsrc is not None else _v
-        _v = arg.pop("w", None)
-        self["w"] = w if w is not None else _v
-        _v = arg.pop("wsrc", None)
-        self["wsrc"] = wsrc if wsrc is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "streamtube"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="streamtube", val="streamtube"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Splom(_BaseTraceType):
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # diagonal
-    # --------
-    @property
-    def diagonal(self):
-        """
-        The 'diagonal' property is an instance of Diagonal
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Diagonal`
-          - A dict of string/value properties that will be passed
-            to the Diagonal constructor
-    
-            Supported dict properties:
-                
-                visible
-                    Determines whether or not subplots on the
-                    diagonal are displayed.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Diagonal
-        """
-        return self["diagonal"]
-
-    @diagonal.setter
-    def diagonal(self, val):
-        self["diagonal"] = val
-
-    # dimensions
-    # ----------
-    @property
-    def dimensions(self):
-        """
-        The 'dimensions' property is a tuple of instances of
-        Dimension that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.splom.Dimension
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Dimension constructor
-    
-            Supported dict properties:
-                
-                axis
-                    :class:`plotly.graph_objects.splom.dimension.Ax
-                    is` instance or dict with compatible properties
-                label
-                    Sets the label corresponding to this splom
-                    dimension.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                values
-                    Sets the dimension values to be plotted.
-                valuessrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  values .
-                visible
-                    Determines whether or not this dimension is
-                    shown on the graph. Note that even visible
-                    false dimension contribute to the default grid
-                    generate by this splom trace.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.splom.Dimension]
-        """
-        return self["dimensions"]
-
-    @dimensions.setter
-    def dimensions(self, val):
-        self["dimensions"] = val
-
-    # dimensiondefaults
-    # -----------------
-    @property
-    def dimensiondefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.splom.dimensiondefaults), sets the default
-        property values to use for elements of splom.dimensions
-    
-        The 'dimensiondefaults' property is an instance of Dimension
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Dimension`
-          - A dict of string/value properties that will be passed
-            to the Dimension constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Dimension
-        """
-        return self["dimensiondefaults"]
-
-    @dimensiondefaults.setter
-    def dimensiondefaults(self, val):
-        self["dimensiondefaults"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.splom.marker.Color
-                    Bar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.splom.marker.Line`
-                    instance or dict with compatible properties
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.splom.selected.Mar
-                    ker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showlowerhalf
-    # -------------
-    @property
-    def showlowerhalf(self):
-        """
-        Determines whether or not subplots on the lower half from the
-        diagonal are displayed.
-    
-        The 'showlowerhalf' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlowerhalf"]
-
-    @showlowerhalf.setter
-    def showlowerhalf(self, val):
-        self["showlowerhalf"] = val
-
-    # showupperhalf
-    # -------------
-    @property
-    def showupperhalf(self):
-        """
-        Determines whether or not subplots on the upper half from the
-        diagonal are displayed.
-    
-        The 'showupperhalf' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showupperhalf"]
-
-    @showupperhalf.setter
-    def showupperhalf(self, val):
-        self["showupperhalf"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair to appear on
-        hover. If a single string, the same string appears over all the
-        data points. If an array of string, the items are mapped in
-        order to the this trace's (x,y) coordinates.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.splom.unselected.M
-                    arker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.splom.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # xaxes
-    # -----
-    @property
-    def xaxes(self):
-        """
-        Sets the list of x axes corresponding to dimensions of this
-        splom trace. By default, a splom will match the first N xaxes
-        where N is the number of input dimensions. Note that, in case
-        where `diagonal.visible` is false and `showupperhalf` or
-        `showlowerhalf` is false, this splom trace will generate one
-        less x-axis and one less y-axis.
-    
-        The 'xaxes' property is an info array that may be specified as:
-        * a list of elements where:
-          The 'xaxes[i]' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        list
-        """
-        return self["xaxes"]
-
-    @xaxes.setter
-    def xaxes(self, val):
-        self["xaxes"] = val
-
-    # yaxes
-    # -----
-    @property
-    def yaxes(self):
-        """
-        Sets the list of y axes corresponding to dimensions of this
-        splom trace. By default, a splom will match the first N yaxes
-        where N is the number of input dimensions. Note that, in case
-        where `diagonal.visible` is false and `showupperhalf` or
-        `showlowerhalf` is false, this splom trace will generate one
-        less x-axis and one less y-axis.
-    
-        The 'yaxes' property is an info array that may be specified as:
-        * a list of elements where:
-          The 'yaxes[i]' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        list
-        """
-        return self["yaxes"]
-
-    @yaxes.setter
-    def yaxes(self, val):
-        self["yaxes"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        diagonal
-            :class:`plotly.graph_objects.splom.Diagonal` instance
-            or dict with compatible properties
-        dimensions
-            A tuple of
-            :class:`plotly.graph_objects.splom.Dimension` instances
-            or dicts with compatible properties
-        dimensiondefaults
-            When used in a template (as
-            layout.template.data.splom.dimensiondefaults), sets the
-            default property values to use for elements of
-            splom.dimensions
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.splom.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.splom.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.splom.Selected` instance
-            or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showlowerhalf
-            Determines whether or not subplots on the lower half
-            from the diagonal are displayed.
-        showupperhalf
-            Determines whether or not subplots on the upper half
-            from the diagonal are displayed.
-        stream
-            :class:`plotly.graph_objects.splom.Stream` instance or
-            dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair to
-            appear on hover. If a single string, the same string
-            appears over all the data points. If an array of
-            string, the items are mapped in order to the this
-            trace's (x,y) coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.splom.Unselected` instance
-            or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        xaxes
-            Sets the list of x axes corresponding to dimensions of
-            this splom trace. By default, a splom will match the
-            first N xaxes where N is the number of input
-            dimensions. Note that, in case where `diagonal.visible`
-            is false and `showupperhalf` or `showlowerhalf` is
-            false, this splom trace will generate one less x-axis
-            and one less y-axis.
-        yaxes
-            Sets the list of y axes corresponding to dimensions of
-            this splom trace. By default, a splom will match the
-            first N yaxes where N is the number of input
-            dimensions. Note that, in case where `diagonal.visible`
-            is false and `showupperhalf` or `showlowerhalf` is
-            false, this splom trace will generate one less x-axis
-            and one less y-axis.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        customdata=None,
-        customdatasrc=None,
-        diagonal=None,
-        dimensions=None,
-        dimensiondefaults=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        showlowerhalf=None,
-        showupperhalf=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        xaxes=None,
-        yaxes=None,
-        **kwargs
-    ):
-        """
-        Construct a new Splom object
-        
-        Splom traces generate scatter plot matrix visualizations. Each
-        splom `dimensions` items correspond to a generated axis. Values
-        for each of those dimensions are set in `dimensions[i].values`.
-        Splom traces support all `scattergl` marker style attributes.
-        Specify `layout.grid` attributes and/or layout x-axis and
-        y-axis attributes for more control over the axis positioning
-        and style.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Splom`
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        diagonal
-            :class:`plotly.graph_objects.splom.Diagonal` instance
-            or dict with compatible properties
-        dimensions
-            A tuple of
-            :class:`plotly.graph_objects.splom.Dimension` instances
-            or dicts with compatible properties
-        dimensiondefaults
-            When used in a template (as
-            layout.template.data.splom.dimensiondefaults), sets the
-            default property values to use for elements of
-            splom.dimensions
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.splom.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.splom.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.splom.Selected` instance
-            or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showlowerhalf
-            Determines whether or not subplots on the lower half
-            from the diagonal are displayed.
-        showupperhalf
-            Determines whether or not subplots on the upper half
-            from the diagonal are displayed.
-        stream
-            :class:`plotly.graph_objects.splom.Stream` instance or
-            dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair to
-            appear on hover. If a single string, the same string
-            appears over all the data points. If an array of
-            string, the items are mapped in order to the this
-            trace's (x,y) coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.splom.Unselected` instance
-            or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        xaxes
-            Sets the list of x axes corresponding to dimensions of
-            this splom trace. By default, a splom will match the
-            first N xaxes where N is the number of input
-            dimensions. Note that, in case where `diagonal.visible`
-            is false and `showupperhalf` or `showlowerhalf` is
-            false, this splom trace will generate one less x-axis
-            and one less y-axis.
-        yaxes
-            Sets the list of y axes corresponding to dimensions of
-            this splom trace. By default, a splom will match the
-            first N yaxes where N is the number of input
-            dimensions. Note that, in case where `diagonal.visible`
-            is false and `showupperhalf` or `showlowerhalf` is
-            false, this splom trace will generate one less x-axis
-            and one less y-axis.
-
-        Returns
-        -------
-        Splom
-        """
-        super(Splom, self).__init__("splom")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Splom 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Splom`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import splom as v_splom
-
-        # Initialize validators
-        # ---------------------
-        self._validators["customdata"] = v_splom.CustomdataValidator()
-        self._validators["customdatasrc"] = v_splom.CustomdatasrcValidator()
-        self._validators["diagonal"] = v_splom.DiagonalValidator()
-        self._validators["dimensions"] = v_splom.DimensionsValidator()
-        self._validators["dimensiondefaults"] = v_splom.DimensionValidator()
-        self._validators["hoverinfo"] = v_splom.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_splom.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_splom.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_splom.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_splom.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_splom.HovertextValidator()
-        self._validators["hovertextsrc"] = v_splom.HovertextsrcValidator()
-        self._validators["ids"] = v_splom.IdsValidator()
-        self._validators["idssrc"] = v_splom.IdssrcValidator()
-        self._validators["legendgroup"] = v_splom.LegendgroupValidator()
-        self._validators["marker"] = v_splom.MarkerValidator()
-        self._validators["meta"] = v_splom.MetaValidator()
-        self._validators["metasrc"] = v_splom.MetasrcValidator()
-        self._validators["name"] = v_splom.NameValidator()
-        self._validators["opacity"] = v_splom.OpacityValidator()
-        self._validators["selected"] = v_splom.SelectedValidator()
-        self._validators["selectedpoints"] = v_splom.SelectedpointsValidator()
-        self._validators["showlegend"] = v_splom.ShowlegendValidator()
-        self._validators["showlowerhalf"] = v_splom.ShowlowerhalfValidator()
-        self._validators["showupperhalf"] = v_splom.ShowupperhalfValidator()
-        self._validators["stream"] = v_splom.StreamValidator()
-        self._validators["text"] = v_splom.TextValidator()
-        self._validators["textsrc"] = v_splom.TextsrcValidator()
-        self._validators["uid"] = v_splom.UidValidator()
-        self._validators["uirevision"] = v_splom.UirevisionValidator()
-        self._validators["unselected"] = v_splom.UnselectedValidator()
-        self._validators["visible"] = v_splom.VisibleValidator()
-        self._validators["xaxes"] = v_splom.XaxesValidator()
-        self._validators["yaxes"] = v_splom.YaxesValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("diagonal", None)
-        self["diagonal"] = diagonal if diagonal is not None else _v
-        _v = arg.pop("dimensions", None)
-        self["dimensions"] = dimensions if dimensions is not None else _v
-        _v = arg.pop("dimensiondefaults", None)
-        self["dimensiondefaults"] = (
-            dimensiondefaults if dimensiondefaults is not None else _v
-        )
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showlowerhalf", None)
-        self["showlowerhalf"] = showlowerhalf if showlowerhalf is not None else _v
-        _v = arg.pop("showupperhalf", None)
-        self["showupperhalf"] = showupperhalf if showupperhalf is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("xaxes", None)
-        self["xaxes"] = xaxes if xaxes is not None else _v
-        _v = arg.pop("yaxes", None)
-        self["yaxes"] = yaxes if yaxes is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "splom"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="splom", val="splom"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scatterternary(_BaseTraceType):
-
-    # a
-    # -
-    @property
-    def a(self):
-        """
-        Sets the quantity of component `a` in each data point. If `a`,
-        `b`, and `c` are all provided, they need not be normalized,
-        only the relative values matter. If only two arrays are
-        provided they must be normalized to match `ternary<i>.sum`.
-    
-        The 'a' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["a"]
-
-    @a.setter
-    def a(self, val):
-        self["a"] = val
-
-    # asrc
-    # ----
-    @property
-    def asrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  a .
-    
-        The 'asrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["asrc"]
-
-    @asrc.setter
-    def asrc(self, val):
-        self["asrc"] = val
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        Sets the quantity of component `a` in each data point. If `a`,
-        `b`, and `c` are all provided, they need not be normalized,
-        only the relative values matter. If only two arrays are
-        provided they must be normalized to match `ternary<i>.sum`.
-    
-        The 'b' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # bsrc
-    # ----
-    @property
-    def bsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  b .
-    
-        The 'bsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bsrc"]
-
-    @bsrc.setter
-    def bsrc(self, val):
-        self["bsrc"] = val
-
-    # c
-    # -
-    @property
-    def c(self):
-        """
-        Sets the quantity of component `a` in each data point. If `a`,
-        `b`, and `c` are all provided, they need not be normalized,
-        only the relative values matter. If only two arrays are
-        provided they must be normalized to match `ternary<i>.sum`.
-    
-        The 'c' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["c"]
-
-    @c.setter
-    def c(self, val):
-        self["c"] = val
-
-    # cliponaxis
-    # ----------
-    @property
-    def cliponaxis(self):
-        """
-        Determines whether or not markers and text nodes are clipped
-        about the subplot axes. To show markers and text nodes above
-        axis lines and tick labels, make sure to set `xaxis.layer` and
-        `yaxis.layer` to *below traces*.
-    
-        The 'cliponaxis' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cliponaxis"]
-
-    @cliponaxis.setter
-    def cliponaxis(self, val):
-        self["cliponaxis"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # csrc
-    # ----
-    @property
-    def csrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  c .
-    
-        The 'csrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["csrc"]
-
-    @csrc.setter
-    def csrc(self, val):
-        self["csrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Use with `fillcolor`
-        if not "none". scatterternary has a subset of the options
-        available to scatter. "toself" connects the endpoints of the
-        trace (or each segment of the trace if it has gaps) into a
-        closed shape. "tonext" fills the space between two traces if
-        one completely encloses the other (eg consecutive contour
-        lines), and behaves like "toself" if there is no trace before
-        it. "tonext" should not be used if one trace does not enclose
-        the other.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'toself', 'tonext']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['a', 'b', 'c', 'text', 'name'] joined with '+' characters
-            (e.g. 'a+b')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Do the hover effects highlight individual points (markers or
-        line points) or do they highlight filled regions? If the fill
-        is "toself" or "tonext" and there are no markers or text, then
-        the default is "fills", otherwise it is "points".
-    
-        The 'hoveron' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['points', 'fills'] joined with '+' characters
-            (e.g. 'points+fills')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (a,b,c) point. If
-        a single string, the same string appears over all the data
-        points. If an array of strings, the items are mapped in order
-        to the the data points in (a,b,c). To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                shape
-                    Determines the line shape. With "spline" the
-                    lines are drawn using spline interpolation. The
-                    other available values correspond to step-wise
-                    line shapes.
-                smoothing
-                    Has an effect only if `shape` is set to
-                    "spline" Sets the amount of smoothing. 0
-                    corresponds to no smoothing (equivalent to a
-                    "linear" shape).
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scatterternary.mar
-                    ker.ColorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                gradient
-                    :class:`plotly.graph_objects.scatterternary.mar
-                    ker.Gradient` instance or dict with compatible
-                    properties
-                line
-                    :class:`plotly.graph_objects.scatterternary.mar
-                    ker.Line` instance or dict with compatible
-                    properties
-                maxdisplayed
-                    Sets a maximum number of points to be drawn on
-                    the graph. 0 corresponds to no limit.
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatterternary.sel
-                    ected.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scatterternary.sel
-                    ected.Textfont` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        ternary subplot. If "ternary" (the default value), the data
-        refer to `layout.ternary`. If "ternary2", the data refer to
-        `layout.ternary2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'ternary', that may be specified as the string 'ternary'
-        optionally followed by an integer >= 1
-        (e.g. 'ternary', 'ternary1', 'ternary2', 'ternary3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # sum
-    # ---
-    @property
-    def sum(self):
-        """
-        The number each triplet should sum to, if only two of `a`, `b`,
-        and `c` are provided. This overrides `ternary<i>.sum` to
-        normalize this specific trace, but does not affect the values
-        displayed on the axes. 0 (or missing) means to use
-        ternary<i>.sum
-    
-        The 'sum' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sum"]
-
-    @sum.setter
-    def sum(self, val):
-        self["sum"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (a,b,c) point. If a
-        single string, the same string appears over all the data
-        points. If an array of strings, the items are mapped in order
-        to the the data points in (a,b,c). If trace `hoverinfo`
-        contains a "text" flag and "hovertext" is not set, these
-        elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `a`, `b`, `c` and `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatterternary.uns
-                    elected.Marker` instance or dict with
-                    compatible properties
-                textfont
-                    :class:`plotly.graph_objects.scatterternary.uns
-                    elected.Textfont` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        a
-            Sets the quantity of component `a` in each data point.
-            If `a`, `b`, and `c` are all provided, they need not be
-            normalized, only the relative values matter. If only
-            two arrays are provided they must be normalized to
-            match `ternary<i>.sum`.
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        b
-            Sets the quantity of component `a` in each data point.
-            If `a`, `b`, and `c` are all provided, they need not be
-            normalized, only the relative values matter. If only
-            two arrays are provided they must be normalized to
-            match `ternary<i>.sum`.
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        c
-            Sets the quantity of component `a` in each data point.
-            If `a`, `b`, and `c` are all provided, they need not be
-            normalized, only the relative values matter. If only
-            two arrays are provided they must be normalized to
-            match `ternary<i>.sum`.
-        cliponaxis
-            Determines whether or not markers and text nodes are
-            clipped about the subplot axes. To show markers and
-            text nodes above axis lines and tick labels, make sure
-            to set `xaxis.layer` and `yaxis.layer` to *below
-            traces*.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        csrc
-            Sets the source reference on Chart Studio Cloud for  c
-            .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". scatterternary has a subset
-            of the options available to scatter. "toself" connects
-            the endpoints of the trace (or each segment of the
-            trace if it has gaps) into a closed shape. "tonext"
-            fills the space between two traces if one completely
-            encloses the other (eg consecutive contour lines), and
-            behaves like "toself" if there is no trace before it.
-            "tonext" should not be used if one trace does not
-            enclose the other.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatterternary.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (a,b,c)
-            point. If a single string, the same string appears over
-            all the data points. If an array of strings, the items
-            are mapped in order to the the data points in (a,b,c).
-            To be seen, trace `hoverinfo` must contain a "text"
-            flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatterternary.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatterternary.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scatterternary.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatterternary.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a ternary subplot. If "ternary" (the default
-            value), the data refer to `layout.ternary`. If
-            "ternary2", the data refer to `layout.ternary2`, and so
-            on.
-        sum
-            The number each triplet should sum to, if only two of
-            `a`, `b`, and `c` are provided. This overrides
-            `ternary<i>.sum` to normalize this specific trace, but
-            does not affect the values displayed on the axes. 0 (or
-            missing) means to use ternary<i>.sum
-        text
-            Sets text elements associated with each (a,b,c) point.
-            If a single string, the same string appears over all
-            the data points. If an array of strings, the items are
-            mapped in order to the the data points in (a,b,c). If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `a`, `b`, `c`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatterternary.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        a=None,
-        asrc=None,
-        b=None,
-        bsrc=None,
-        c=None,
-        cliponaxis=None,
-        connectgaps=None,
-        csrc=None,
-        customdata=None,
-        customdatasrc=None,
-        fill=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoveron=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        subplot=None,
-        sum=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scatterternary object
-        
-        Provides similar functionality to the "scatter" type but on a
-        ternary phase diagram. The data is provided by at least two
-        arrays out of `a`, `b`, `c` triplets.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.Scatterternary`
-        a
-            Sets the quantity of component `a` in each data point.
-            If `a`, `b`, and `c` are all provided, they need not be
-            normalized, only the relative values matter. If only
-            two arrays are provided they must be normalized to
-            match `ternary<i>.sum`.
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        b
-            Sets the quantity of component `a` in each data point.
-            If `a`, `b`, and `c` are all provided, they need not be
-            normalized, only the relative values matter. If only
-            two arrays are provided they must be normalized to
-            match `ternary<i>.sum`.
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        c
-            Sets the quantity of component `a` in each data point.
-            If `a`, `b`, and `c` are all provided, they need not be
-            normalized, only the relative values matter. If only
-            two arrays are provided they must be normalized to
-            match `ternary<i>.sum`.
-        cliponaxis
-            Determines whether or not markers and text nodes are
-            clipped about the subplot axes. To show markers and
-            text nodes above axis lines and tick labels, make sure
-            to set `xaxis.layer` and `yaxis.layer` to *below
-            traces*.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        csrc
-            Sets the source reference on Chart Studio Cloud for  c
-            .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". scatterternary has a subset
-            of the options available to scatter. "toself" connects
-            the endpoints of the trace (or each segment of the
-            trace if it has gaps) into a closed shape. "tonext"
-            fills the space between two traces if one completely
-            encloses the other (eg consecutive contour lines), and
-            behaves like "toself" if there is no trace before it.
-            "tonext" should not be used if one trace does not
-            enclose the other.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatterternary.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (a,b,c)
-            point. If a single string, the same string appears over
-            all the data points. If an array of strings, the items
-            are mapped in order to the the data points in (a,b,c).
-            To be seen, trace `hoverinfo` must contain a "text"
-            flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatterternary.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatterternary.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scatterternary.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatterternary.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a ternary subplot. If "ternary" (the default
-            value), the data refer to `layout.ternary`. If
-            "ternary2", the data refer to `layout.ternary2`, and so
-            on.
-        sum
-            The number each triplet should sum to, if only two of
-            `a`, `b`, and `c` are provided. This overrides
-            `ternary<i>.sum` to normalize this specific trace, but
-            does not affect the values displayed on the axes. 0 (or
-            missing) means to use ternary<i>.sum
-        text
-            Sets text elements associated with each (a,b,c) point.
-            If a single string, the same string appears over all
-            the data points. If an array of strings, the items are
-            mapped in order to the the data points in (a,b,c). If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `a`, `b`, `c`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatterternary.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Scatterternary
-        """
-        super(Scatterternary, self).__init__("scatterternary")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scatterternary 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scatterternary`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scatterternary as v_scatterternary
-
-        # Initialize validators
-        # ---------------------
-        self._validators["a"] = v_scatterternary.AValidator()
-        self._validators["asrc"] = v_scatterternary.AsrcValidator()
-        self._validators["b"] = v_scatterternary.BValidator()
-        self._validators["bsrc"] = v_scatterternary.BsrcValidator()
-        self._validators["c"] = v_scatterternary.CValidator()
-        self._validators["cliponaxis"] = v_scatterternary.CliponaxisValidator()
-        self._validators["connectgaps"] = v_scatterternary.ConnectgapsValidator()
-        self._validators["csrc"] = v_scatterternary.CsrcValidator()
-        self._validators["customdata"] = v_scatterternary.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scatterternary.CustomdatasrcValidator()
-        self._validators["fill"] = v_scatterternary.FillValidator()
-        self._validators["fillcolor"] = v_scatterternary.FillcolorValidator()
-        self._validators["hoverinfo"] = v_scatterternary.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scatterternary.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scatterternary.HoverlabelValidator()
-        self._validators["hoveron"] = v_scatterternary.HoveronValidator()
-        self._validators["hovertemplate"] = v_scatterternary.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_scatterternary.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scatterternary.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scatterternary.HovertextsrcValidator()
-        self._validators["ids"] = v_scatterternary.IdsValidator()
-        self._validators["idssrc"] = v_scatterternary.IdssrcValidator()
-        self._validators["legendgroup"] = v_scatterternary.LegendgroupValidator()
-        self._validators["line"] = v_scatterternary.LineValidator()
-        self._validators["marker"] = v_scatterternary.MarkerValidator()
-        self._validators["meta"] = v_scatterternary.MetaValidator()
-        self._validators["metasrc"] = v_scatterternary.MetasrcValidator()
-        self._validators["mode"] = v_scatterternary.ModeValidator()
-        self._validators["name"] = v_scatterternary.NameValidator()
-        self._validators["opacity"] = v_scatterternary.OpacityValidator()
-        self._validators["selected"] = v_scatterternary.SelectedValidator()
-        self._validators["selectedpoints"] = v_scatterternary.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scatterternary.ShowlegendValidator()
-        self._validators["stream"] = v_scatterternary.StreamValidator()
-        self._validators["subplot"] = v_scatterternary.SubplotValidator()
-        self._validators["sum"] = v_scatterternary.SumValidator()
-        self._validators["text"] = v_scatterternary.TextValidator()
-        self._validators["textfont"] = v_scatterternary.TextfontValidator()
-        self._validators["textposition"] = v_scatterternary.TextpositionValidator()
-        self._validators[
-            "textpositionsrc"
-        ] = v_scatterternary.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scatterternary.TextsrcValidator()
-        self._validators["texttemplate"] = v_scatterternary.TexttemplateValidator()
-        self._validators[
-            "texttemplatesrc"
-        ] = v_scatterternary.TexttemplatesrcValidator()
-        self._validators["uid"] = v_scatterternary.UidValidator()
-        self._validators["uirevision"] = v_scatterternary.UirevisionValidator()
-        self._validators["unselected"] = v_scatterternary.UnselectedValidator()
-        self._validators["visible"] = v_scatterternary.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("a", None)
-        self["a"] = a if a is not None else _v
-        _v = arg.pop("asrc", None)
-        self["asrc"] = asrc if asrc is not None else _v
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("bsrc", None)
-        self["bsrc"] = bsrc if bsrc is not None else _v
-        _v = arg.pop("c", None)
-        self["c"] = c if c is not None else _v
-        _v = arg.pop("cliponaxis", None)
-        self["cliponaxis"] = cliponaxis if cliponaxis is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("csrc", None)
-        self["csrc"] = csrc if csrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("sum", None)
-        self["sum"] = sum if sum is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scatterternary"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scatterternary", val="scatterternary"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scatterpolargl(_BaseTraceType):
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dr
-    # --
-    @property
-    def dr(self):
-        """
-        Sets the r coordinate step.
-    
-        The 'dr' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dr"]
-
-    @dr.setter
-    def dr(self, val):
-        self["dr"] = val
-
-    # dtheta
-    # ------
-    @property
-    def dtheta(self):
-        """
-        Sets the theta coordinate step. By default, the `dtheta` step
-        equals the subplot's period divided by the length of the `r`
-        coordinates.
-    
-        The 'dtheta' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtheta"]
-
-    @dtheta.setter
-    def dtheta(self, val):
-        self["dtheta"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Defaults to "none"
-        unless this trace is stacked, then it gets "tonexty"
-        ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor`
-        if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0
-        respectively. "tonextx" and "tonexty" fill between the
-        endpoints of this trace and the endpoints of the trace before
-        it, connecting those endpoints with straight lines (to make a
-        stacked area graph); if there is no trace before it, they
-        behave like "tozerox" and "tozeroy". "toself" connects the
-        endpoints of the trace (or each segment of the trace if it has
-        gaps) into a closed shape. "tonext" fills the space between two
-        traces if one completely encloses the other (eg consecutive
-        contour lines), and behaves like "toself" if there is no trace
-        before it. "tonext" should not be used if one trace does not
-        enclose the other. Traces in a `stackgroup` will only fill to
-        (or be filled to) other traces in the same group. With multiple
-        `stackgroup`s or some traces stacked and some not, if fill-
-        linked traces are not already consecutive, the later ones will
-        be pushed down in the drawing order.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx',
-                'toself', 'tonext']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
-            (e.g. 'r+theta')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the style of the lines.
-                shape
-                    Determines the line shape. The values
-                    correspond to step-wise line shapes.
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scatterpolargl.mar
-                    ker.ColorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.scatterpolargl.mar
-                    ker.Line` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        Sets the radial coordinates
-    
-        The 'r' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # r0
-    # --
-    @property
-    def r0(self):
-        """
-        Alternate to `r`. Builds a linear space of r coordinates. Use
-        with `dr` where `r0` is the starting coordinate and `dr` the
-        step.
-    
-        The 'r0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["r0"]
-
-    @r0.setter
-    def r0(self, val):
-        self["r0"] = val
-
-    # rsrc
-    # ----
-    @property
-    def rsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  r .
-    
-        The 'rsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["rsrc"]
-
-    @rsrc.setter
-    def rsrc(self, val):
-        self["rsrc"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatterpolargl.sel
-                    ected.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scatterpolargl.sel
-                    ected.Textfont` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        polar subplot. If "polar" (the default value), the data refer
-        to `layout.polar`. If "polar2", the data refer to
-        `layout.polar2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'polar', that may be specified as the string 'polar'
-        optionally followed by an integer >= 1
-        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `r`, `theta` and `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # theta
-    # -----
-    @property
-    def theta(self):
-        """
-        Sets the angular coordinates
-    
-        The 'theta' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["theta"]
-
-    @theta.setter
-    def theta(self, val):
-        self["theta"] = val
-
-    # theta0
-    # ------
-    @property
-    def theta0(self):
-        """
-        Alternate to `theta`. Builds a linear space of theta
-        coordinates. Use with `dtheta` where `theta0` is the starting
-        coordinate and `dtheta` the step.
-    
-        The 'theta0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["theta0"]
-
-    @theta0.setter
-    def theta0(self, val):
-        self["theta0"] = val
-
-    # thetasrc
-    # --------
-    @property
-    def thetasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  theta .
-    
-        The 'thetasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["thetasrc"]
-
-    @thetasrc.setter
-    def thetasrc(self, val):
-        self["thetasrc"] = val
-
-    # thetaunit
-    # ---------
-    @property
-    def thetaunit(self):
-        """
-        Sets the unit of input "theta" values. Has an effect only when
-        on "linear" angular axes.
-    
-        The 'thetaunit' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radians', 'degrees', 'gradians']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thetaunit"]
-
-    @thetaunit.setter
-    def thetaunit(self, val):
-        self["thetaunit"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatterpolargl.uns
-                    elected.Marker` instance or dict with
-                    compatible properties
-                textfont
-                    :class:`plotly.graph_objects.scatterpolargl.uns
-                    elected.Textfont` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dr
-            Sets the r coordinate step.
-        dtheta
-            Sets the theta coordinate step. By default, the
-            `dtheta` step equals the subplot's period divided by
-            the length of the `r` coordinates.
-        fill
-            Sets the area to fill with a solid color. Defaults to
-            "none" unless this trace is stacked, then it gets
-            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
-            with `fillcolor` if not "none". "tozerox" and "tozeroy"
-            fill to x=0 and y=0 respectively. "tonextx" and
-            "tonexty" fill between the endpoints of this trace and
-            the endpoints of the trace before it, connecting those
-            endpoints with straight lines (to make a stacked area
-            graph); if there is no trace before it, they behave
-            like "tozerox" and "tozeroy". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other. Traces in a `stackgroup` will only fill to (or
-            be filled to) other traces in the same group. With
-            multiple `stackgroup`s or some traces stacked and some
-            not, if fill-linked traces are not already consecutive,
-            the later ones will be pushed down in the drawing
-            order.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatterpolargl.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatterpolargl.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatterpolargl.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        r
-            Sets the radial coordinates
-        r0
-            Alternate to `r`. Builds a linear space of r
-            coordinates. Use with `dr` where `r0` is the starting
-            coordinate and `dr` the step.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.scatterpolargl.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatterpolargl.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a polar subplot. If "polar" (the default value),
-            the data refer to `layout.polar`. If "polar2", the data
-            refer to `layout.polar2`, and so on.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `r`, `theta`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        theta
-            Sets the angular coordinates
-        theta0
-            Alternate to `theta`. Builds a linear space of theta
-            coordinates. Use with `dtheta` where `theta0` is the
-            starting coordinate and `dtheta` the step.
-        thetasrc
-            Sets the source reference on Chart Studio Cloud for
-            theta .
-        thetaunit
-            Sets the unit of input "theta" values. Has an effect
-            only when on "linear" angular axes.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatterpolargl.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        dr=None,
-        dtheta=None,
-        fill=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        r=None,
-        r0=None,
-        rsrc=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        subplot=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        theta=None,
-        theta0=None,
-        thetasrc=None,
-        thetaunit=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scatterpolargl object
-        
-        The scatterpolargl trace type encompasses line charts, scatter
-        charts, and bubble charts in polar coordinates using the WebGL
-        plotting engine. The data visualized as scatter point or lines
-        is set in `r` (radial) and `theta` (angular) coordinates Bubble
-        charts are achieved by setting `marker.size` and/or
-        `marker.color` to numerical arrays.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.Scatterpolargl`
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dr
-            Sets the r coordinate step.
-        dtheta
-            Sets the theta coordinate step. By default, the
-            `dtheta` step equals the subplot's period divided by
-            the length of the `r` coordinates.
-        fill
-            Sets the area to fill with a solid color. Defaults to
-            "none" unless this trace is stacked, then it gets
-            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
-            with `fillcolor` if not "none". "tozerox" and "tozeroy"
-            fill to x=0 and y=0 respectively. "tonextx" and
-            "tonexty" fill between the endpoints of this trace and
-            the endpoints of the trace before it, connecting those
-            endpoints with straight lines (to make a stacked area
-            graph); if there is no trace before it, they behave
-            like "tozerox" and "tozeroy". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other. Traces in a `stackgroup` will only fill to (or
-            be filled to) other traces in the same group. With
-            multiple `stackgroup`s or some traces stacked and some
-            not, if fill-linked traces are not already consecutive,
-            the later ones will be pushed down in the drawing
-            order.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatterpolargl.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatterpolargl.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatterpolargl.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        r
-            Sets the radial coordinates
-        r0
-            Alternate to `r`. Builds a linear space of r
-            coordinates. Use with `dr` where `r0` is the starting
-            coordinate and `dr` the step.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.scatterpolargl.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatterpolargl.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a polar subplot. If "polar" (the default value),
-            the data refer to `layout.polar`. If "polar2", the data
-            refer to `layout.polar2`, and so on.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `r`, `theta`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        theta
-            Sets the angular coordinates
-        theta0
-            Alternate to `theta`. Builds a linear space of theta
-            coordinates. Use with `dtheta` where `theta0` is the
-            starting coordinate and `dtheta` the step.
-        thetasrc
-            Sets the source reference on Chart Studio Cloud for
-            theta .
-        thetaunit
-            Sets the unit of input "theta" values. Has an effect
-            only when on "linear" angular axes.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatterpolargl.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Scatterpolargl
-        """
-        super(Scatterpolargl, self).__init__("scatterpolargl")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scatterpolargl 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scatterpolargl`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scatterpolargl as v_scatterpolargl
-
-        # Initialize validators
-        # ---------------------
-        self._validators["connectgaps"] = v_scatterpolargl.ConnectgapsValidator()
-        self._validators["customdata"] = v_scatterpolargl.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scatterpolargl.CustomdatasrcValidator()
-        self._validators["dr"] = v_scatterpolargl.DrValidator()
-        self._validators["dtheta"] = v_scatterpolargl.DthetaValidator()
-        self._validators["fill"] = v_scatterpolargl.FillValidator()
-        self._validators["fillcolor"] = v_scatterpolargl.FillcolorValidator()
-        self._validators["hoverinfo"] = v_scatterpolargl.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scatterpolargl.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scatterpolargl.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_scatterpolargl.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_scatterpolargl.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scatterpolargl.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scatterpolargl.HovertextsrcValidator()
-        self._validators["ids"] = v_scatterpolargl.IdsValidator()
-        self._validators["idssrc"] = v_scatterpolargl.IdssrcValidator()
-        self._validators["legendgroup"] = v_scatterpolargl.LegendgroupValidator()
-        self._validators["line"] = v_scatterpolargl.LineValidator()
-        self._validators["marker"] = v_scatterpolargl.MarkerValidator()
-        self._validators["meta"] = v_scatterpolargl.MetaValidator()
-        self._validators["metasrc"] = v_scatterpolargl.MetasrcValidator()
-        self._validators["mode"] = v_scatterpolargl.ModeValidator()
-        self._validators["name"] = v_scatterpolargl.NameValidator()
-        self._validators["opacity"] = v_scatterpolargl.OpacityValidator()
-        self._validators["r"] = v_scatterpolargl.RValidator()
-        self._validators["r0"] = v_scatterpolargl.R0Validator()
-        self._validators["rsrc"] = v_scatterpolargl.RsrcValidator()
-        self._validators["selected"] = v_scatterpolargl.SelectedValidator()
-        self._validators["selectedpoints"] = v_scatterpolargl.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scatterpolargl.ShowlegendValidator()
-        self._validators["stream"] = v_scatterpolargl.StreamValidator()
-        self._validators["subplot"] = v_scatterpolargl.SubplotValidator()
-        self._validators["text"] = v_scatterpolargl.TextValidator()
-        self._validators["textfont"] = v_scatterpolargl.TextfontValidator()
-        self._validators["textposition"] = v_scatterpolargl.TextpositionValidator()
-        self._validators[
-            "textpositionsrc"
-        ] = v_scatterpolargl.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scatterpolargl.TextsrcValidator()
-        self._validators["texttemplate"] = v_scatterpolargl.TexttemplateValidator()
-        self._validators[
-            "texttemplatesrc"
-        ] = v_scatterpolargl.TexttemplatesrcValidator()
-        self._validators["theta"] = v_scatterpolargl.ThetaValidator()
-        self._validators["theta0"] = v_scatterpolargl.Theta0Validator()
-        self._validators["thetasrc"] = v_scatterpolargl.ThetasrcValidator()
-        self._validators["thetaunit"] = v_scatterpolargl.ThetaunitValidator()
-        self._validators["uid"] = v_scatterpolargl.UidValidator()
-        self._validators["uirevision"] = v_scatterpolargl.UirevisionValidator()
-        self._validators["unselected"] = v_scatterpolargl.UnselectedValidator()
-        self._validators["visible"] = v_scatterpolargl.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dr", None)
-        self["dr"] = dr if dr is not None else _v
-        _v = arg.pop("dtheta", None)
-        self["dtheta"] = dtheta if dtheta is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("r0", None)
-        self["r0"] = r0 if r0 is not None else _v
-        _v = arg.pop("rsrc", None)
-        self["rsrc"] = rsrc if rsrc is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("theta", None)
-        self["theta"] = theta if theta is not None else _v
-        _v = arg.pop("theta0", None)
-        self["theta0"] = theta0 if theta0 is not None else _v
-        _v = arg.pop("thetasrc", None)
-        self["thetasrc"] = thetasrc if thetasrc is not None else _v
-        _v = arg.pop("thetaunit", None)
-        self["thetaunit"] = thetaunit if thetaunit is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scatterpolargl"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scatterpolargl", val="scatterpolargl"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scatterpolar(_BaseTraceType):
-
-    # cliponaxis
-    # ----------
-    @property
-    def cliponaxis(self):
-        """
-        Determines whether or not markers and text nodes are clipped
-        about the subplot axes. To show markers and text nodes above
-        axis lines and tick labels, make sure to set `xaxis.layer` and
-        `yaxis.layer` to *below traces*.
-    
-        The 'cliponaxis' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cliponaxis"]
-
-    @cliponaxis.setter
-    def cliponaxis(self, val):
-        self["cliponaxis"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dr
-    # --
-    @property
-    def dr(self):
-        """
-        Sets the r coordinate step.
-    
-        The 'dr' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dr"]
-
-    @dr.setter
-    def dr(self, val):
-        self["dr"] = val
-
-    # dtheta
-    # ------
-    @property
-    def dtheta(self):
-        """
-        Sets the theta coordinate step. By default, the `dtheta` step
-        equals the subplot's period divided by the length of the `r`
-        coordinates.
-    
-        The 'dtheta' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtheta"]
-
-    @dtheta.setter
-    def dtheta(self, val):
-        self["dtheta"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Use with `fillcolor`
-        if not "none". scatterpolar has a subset of the options
-        available to scatter. "toself" connects the endpoints of the
-        trace (or each segment of the trace if it has gaps) into a
-        closed shape. "tonext" fills the space between two traces if
-        one completely encloses the other (eg consecutive contour
-        lines), and behaves like "toself" if there is no trace before
-        it. "tonext" should not be used if one trace does not enclose
-        the other.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'toself', 'tonext']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
-            (e.g. 'r+theta')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Do the hover effects highlight individual points (markers or
-        line points) or do they highlight filled regions? If the fill
-        is "toself" or "tonext" and there are no markers or text, then
-        the default is "fills", otherwise it is "points".
-    
-        The 'hoveron' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['points', 'fills'] joined with '+' characters
-            (e.g. 'points+fills')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                shape
-                    Determines the line shape. With "spline" the
-                    lines are drawn using spline interpolation. The
-                    other available values correspond to step-wise
-                    line shapes.
-                smoothing
-                    Has an effect only if `shape` is set to
-                    "spline" Sets the amount of smoothing. 0
-                    corresponds to no smoothing (equivalent to a
-                    "linear" shape).
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scatterpolar.marke
-                    r.ColorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                gradient
-                    :class:`plotly.graph_objects.scatterpolar.marke
-                    r.Gradient` instance or dict with compatible
-                    properties
-                line
-                    :class:`plotly.graph_objects.scatterpolar.marke
-                    r.Line` instance or dict with compatible
-                    properties
-                maxdisplayed
-                    Sets a maximum number of points to be drawn on
-                    the graph. 0 corresponds to no limit.
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        Sets the radial coordinates
-    
-        The 'r' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # r0
-    # --
-    @property
-    def r0(self):
-        """
-        Alternate to `r`. Builds a linear space of r coordinates. Use
-        with `dr` where `r0` is the starting coordinate and `dr` the
-        step.
-    
-        The 'r0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["r0"]
-
-    @r0.setter
-    def r0(self, val):
-        self["r0"] = val
-
-    # rsrc
-    # ----
-    @property
-    def rsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  r .
-    
-        The 'rsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["rsrc"]
-
-    @rsrc.setter
-    def rsrc(self, val):
-        self["rsrc"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatterpolar.selec
-                    ted.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scatterpolar.selec
-                    ted.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        polar subplot. If "polar" (the default value), the data refer
-        to `layout.polar`. If "polar2", the data refer to
-        `layout.polar2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'polar', that may be specified as the string 'polar'
-        optionally followed by an integer >= 1
-        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `r`, `theta` and `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # theta
-    # -----
-    @property
-    def theta(self):
-        """
-        Sets the angular coordinates
-    
-        The 'theta' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["theta"]
-
-    @theta.setter
-    def theta(self, val):
-        self["theta"] = val
-
-    # theta0
-    # ------
-    @property
-    def theta0(self):
-        """
-        Alternate to `theta`. Builds a linear space of theta
-        coordinates. Use with `dtheta` where `theta0` is the starting
-        coordinate and `dtheta` the step.
-    
-        The 'theta0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["theta0"]
-
-    @theta0.setter
-    def theta0(self, val):
-        self["theta0"] = val
-
-    # thetasrc
-    # --------
-    @property
-    def thetasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  theta .
-    
-        The 'thetasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["thetasrc"]
-
-    @thetasrc.setter
-    def thetasrc(self, val):
-        self["thetasrc"] = val
-
-    # thetaunit
-    # ---------
-    @property
-    def thetaunit(self):
-        """
-        Sets the unit of input "theta" values. Has an effect only when
-        on "linear" angular axes.
-    
-        The 'thetaunit' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radians', 'degrees', 'gradians']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thetaunit"]
-
-    @thetaunit.setter
-    def thetaunit(self, val):
-        self["thetaunit"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatterpolar.unsel
-                    ected.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scatterpolar.unsel
-                    ected.Textfont` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        cliponaxis
-            Determines whether or not markers and text nodes are
-            clipped about the subplot axes. To show markers and
-            text nodes above axis lines and tick labels, make sure
-            to set `xaxis.layer` and `yaxis.layer` to *below
-            traces*.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dr
-            Sets the r coordinate step.
-        dtheta
-            Sets the theta coordinate step. By default, the
-            `dtheta` step equals the subplot's period divided by
-            the length of the `r` coordinates.
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". scatterpolar has a subset of
-            the options available to scatter. "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatterpolar.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatterpolar.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatterpolar.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        r
-            Sets the radial coordinates
-        r0
-            Alternate to `r`. Builds a linear space of r
-            coordinates. Use with `dr` where `r0` is the starting
-            coordinate and `dr` the step.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.scatterpolar.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatterpolar.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a polar subplot. If "polar" (the default value),
-            the data refer to `layout.polar`. If "polar2", the data
-            refer to `layout.polar2`, and so on.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `r`, `theta`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        theta
-            Sets the angular coordinates
-        theta0
-            Alternate to `theta`. Builds a linear space of theta
-            coordinates. Use with `dtheta` where `theta0` is the
-            starting coordinate and `dtheta` the step.
-        thetasrc
-            Sets the source reference on Chart Studio Cloud for
-            theta .
-        thetaunit
-            Sets the unit of input "theta" values. Has an effect
-            only when on "linear" angular axes.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatterpolar.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        cliponaxis=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        dr=None,
-        dtheta=None,
-        fill=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoveron=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        r=None,
-        r0=None,
-        rsrc=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        subplot=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        theta=None,
-        theta0=None,
-        thetasrc=None,
-        thetaunit=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scatterpolar object
-        
-        The scatterpolar trace type encompasses line charts, scatter
-        charts, text charts, and bubble charts in polar coordinates.
-        The data visualized as scatter point or lines is set in `r`
-        (radial) and `theta` (angular) coordinates Text (appearing
-        either on the chart or on hover only) is via `text`. Bubble
-        charts are achieved by setting `marker.size` and/or
-        `marker.color` to numerical arrays.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scatterpolar`
-        cliponaxis
-            Determines whether or not markers and text nodes are
-            clipped about the subplot axes. To show markers and
-            text nodes above axis lines and tick labels, make sure
-            to set `xaxis.layer` and `yaxis.layer` to *below
-            traces*.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dr
-            Sets the r coordinate step.
-        dtheta
-            Sets the theta coordinate step. By default, the
-            `dtheta` step equals the subplot's period divided by
-            the length of the `r` coordinates.
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". scatterpolar has a subset of
-            the options available to scatter. "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatterpolar.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatterpolar.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatterpolar.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        r
-            Sets the radial coordinates
-        r0
-            Alternate to `r`. Builds a linear space of r
-            coordinates. Use with `dr` where `r0` is the starting
-            coordinate and `dr` the step.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.scatterpolar.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatterpolar.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a polar subplot. If "polar" (the default value),
-            the data refer to `layout.polar`. If "polar2", the data
-            refer to `layout.polar2`, and so on.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `r`, `theta`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        theta
-            Sets the angular coordinates
-        theta0
-            Alternate to `theta`. Builds a linear space of theta
-            coordinates. Use with `dtheta` where `theta0` is the
-            starting coordinate and `dtheta` the step.
-        thetasrc
-            Sets the source reference on Chart Studio Cloud for
-            theta .
-        thetaunit
-            Sets the unit of input "theta" values. Has an effect
-            only when on "linear" angular axes.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatterpolar.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Scatterpolar
-        """
-        super(Scatterpolar, self).__init__("scatterpolar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scatterpolar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scatterpolar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scatterpolar as v_scatterpolar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["cliponaxis"] = v_scatterpolar.CliponaxisValidator()
-        self._validators["connectgaps"] = v_scatterpolar.ConnectgapsValidator()
-        self._validators["customdata"] = v_scatterpolar.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scatterpolar.CustomdatasrcValidator()
-        self._validators["dr"] = v_scatterpolar.DrValidator()
-        self._validators["dtheta"] = v_scatterpolar.DthetaValidator()
-        self._validators["fill"] = v_scatterpolar.FillValidator()
-        self._validators["fillcolor"] = v_scatterpolar.FillcolorValidator()
-        self._validators["hoverinfo"] = v_scatterpolar.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scatterpolar.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scatterpolar.HoverlabelValidator()
-        self._validators["hoveron"] = v_scatterpolar.HoveronValidator()
-        self._validators["hovertemplate"] = v_scatterpolar.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_scatterpolar.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scatterpolar.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scatterpolar.HovertextsrcValidator()
-        self._validators["ids"] = v_scatterpolar.IdsValidator()
-        self._validators["idssrc"] = v_scatterpolar.IdssrcValidator()
-        self._validators["legendgroup"] = v_scatterpolar.LegendgroupValidator()
-        self._validators["line"] = v_scatterpolar.LineValidator()
-        self._validators["marker"] = v_scatterpolar.MarkerValidator()
-        self._validators["meta"] = v_scatterpolar.MetaValidator()
-        self._validators["metasrc"] = v_scatterpolar.MetasrcValidator()
-        self._validators["mode"] = v_scatterpolar.ModeValidator()
-        self._validators["name"] = v_scatterpolar.NameValidator()
-        self._validators["opacity"] = v_scatterpolar.OpacityValidator()
-        self._validators["r"] = v_scatterpolar.RValidator()
-        self._validators["r0"] = v_scatterpolar.R0Validator()
-        self._validators["rsrc"] = v_scatterpolar.RsrcValidator()
-        self._validators["selected"] = v_scatterpolar.SelectedValidator()
-        self._validators["selectedpoints"] = v_scatterpolar.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scatterpolar.ShowlegendValidator()
-        self._validators["stream"] = v_scatterpolar.StreamValidator()
-        self._validators["subplot"] = v_scatterpolar.SubplotValidator()
-        self._validators["text"] = v_scatterpolar.TextValidator()
-        self._validators["textfont"] = v_scatterpolar.TextfontValidator()
-        self._validators["textposition"] = v_scatterpolar.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_scatterpolar.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scatterpolar.TextsrcValidator()
-        self._validators["texttemplate"] = v_scatterpolar.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scatterpolar.TexttemplatesrcValidator()
-        self._validators["theta"] = v_scatterpolar.ThetaValidator()
-        self._validators["theta0"] = v_scatterpolar.Theta0Validator()
-        self._validators["thetasrc"] = v_scatterpolar.ThetasrcValidator()
-        self._validators["thetaunit"] = v_scatterpolar.ThetaunitValidator()
-        self._validators["uid"] = v_scatterpolar.UidValidator()
-        self._validators["uirevision"] = v_scatterpolar.UirevisionValidator()
-        self._validators["unselected"] = v_scatterpolar.UnselectedValidator()
-        self._validators["visible"] = v_scatterpolar.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("cliponaxis", None)
-        self["cliponaxis"] = cliponaxis if cliponaxis is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dr", None)
-        self["dr"] = dr if dr is not None else _v
-        _v = arg.pop("dtheta", None)
-        self["dtheta"] = dtheta if dtheta is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("r0", None)
-        self["r0"] = r0 if r0 is not None else _v
-        _v = arg.pop("rsrc", None)
-        self["rsrc"] = rsrc if rsrc is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("theta", None)
-        self["theta"] = theta if theta is not None else _v
-        _v = arg.pop("theta0", None)
-        self["theta0"] = theta0 if theta0 is not None else _v
-        _v = arg.pop("thetasrc", None)
-        self["thetasrc"] = thetasrc if thetasrc is not None else _v
-        _v = arg.pop("thetaunit", None)
-        self["thetaunit"] = thetaunit if thetaunit is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scatterpolar"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scatterpolar", val="scatterpolar"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scattermapbox(_BaseTraceType):
-
-    # below
-    # -----
-    @property
-    def below(self):
-        """
-        Determines if this scattermapbox trace's layers are to be
-        inserted before the layer with the specified ID. By default,
-        scattermapbox layers are inserted above all the base layers. To
-        place the scattermapbox layers above every other layer, set
-        `below` to "''".
-    
-        The 'below' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["below"]
-
-    @below.setter
-    def below(self, val):
-        self["below"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Use with `fillcolor`
-        if not "none". "toself" connects the endpoints of the trace (or
-        each segment of the trace if it has gaps) into a closed shape.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'toself']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lon', 'lat', 'text', 'name'] joined with '+' characters
-            (e.g. 'lon+lat')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (lon,lat) pair If
-        a single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (lon,lat) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # lat
-    # ---
-    @property
-    def lat(self):
-        """
-        Sets the latitude coordinates (in degrees North).
-    
-        The 'lat' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lat"]
-
-    @lat.setter
-    def lat(self, val):
-        self["lat"] = val
-
-    # latsrc
-    # ------
-    @property
-    def latsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lat .
-    
-        The 'latsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["latsrc"]
-
-    @latsrc.setter
-    def latsrc(self, val):
-        self["latsrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # lon
-    # ---
-    @property
-    def lon(self):
-        """
-        Sets the longitude coordinates (in degrees East).
-    
-        The 'lon' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lon"]
-
-    @lon.setter
-    def lon(self, val):
-        self["lon"] = val
-
-    # lonsrc
-    # ------
-    @property
-    def lonsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lon .
-    
-        The 'lonsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["lonsrc"]
-
-    @lonsrc.setter
-    def lonsrc(self, val):
-        self["lonsrc"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scattermapbox.mark
-                    er.ColorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol. Full list:
-                    https://www.mapbox.com/maki-icons/ Note that
-                    the array `marker.color` and `marker.size` are
-                    only available for "circle" symbols.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover.
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattermapbox.sele
-                    cted.Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        mapbox subplot. If "mapbox" (the default value), the data refer
-        to `layout.mapbox`. If "mapbox2", the data refer to
-        `layout.mapbox2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'mapbox', that may be specified as the string 'mapbox'
-        optionally followed by an integer >= 1
-        (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (lon,lat) pair If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (lon,lat) coordinates. If trace `hoverinfo`
-        contains a "text" flag and "hovertext" is not set, these
-        elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the icon text font (color=mapbox.layer.paint.text-color,
-        size=mapbox.layer.layout.text-size). Has an effect only when
-        `type` is set to "symbol".
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `lat`, `lon` and `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattermapbox.unse
-                    lected.Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        below
-            Determines if this scattermapbox trace's layers are to
-            be inserted before the layer with the specified ID. By
-            default, scattermapbox layers are inserted above all
-            the base layers. To place the scattermapbox layers
-            above every other layer, set `below` to "''".
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattermapbox.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (lon,lat)
-            pair If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (lon,lat)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        lat
-            Sets the latitude coordinates (in degrees North).
-        latsrc
-            Sets the source reference on Chart Studio Cloud for
-            lat .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattermapbox.Line`
-            instance or dict with compatible properties
-        lon
-            Sets the longitude coordinates (in degrees East).
-        lonsrc
-            Sets the source reference on Chart Studio Cloud for
-            lon .
-        marker
-            :class:`plotly.graph_objects.scattermapbox.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover.
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattermapbox.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattermapbox.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a mapbox subplot. If "mapbox" (the default value),
-            the data refer to `layout.mapbox`. If "mapbox2", the
-            data refer to `layout.mapbox2`, and so on.
-        text
-            Sets text elements associated with each (lon,lat) pair
-            If a single string, the same string appears over all
-            the data points. If an array of string, the items are
-            mapped in order to the this trace's (lon,lat)
-            coordinates. If trace `hoverinfo` contains a "text"
-            flag and "hovertext" is not set, these elements will be
-            seen in the hover labels.
-        textfont
-            Sets the icon text font (color=mapbox.layer.paint.text-
-            color, size=mapbox.layer.layout.text-size). Has an
-            effect only when `type` is set to "symbol".
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `lat`, `lon`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattermapbox.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        below=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        fill=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        lat=None,
-        latsrc=None,
-        legendgroup=None,
-        line=None,
-        lon=None,
-        lonsrc=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        subplot=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scattermapbox object
-        
-        The data visualized as scatter point, lines or marker symbols
-        on a Mapbox GL geographic map is provided by longitude/latitude
-        pairs in `lon` and `lat`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scattermapbox`
-        below
-            Determines if this scattermapbox trace's layers are to
-            be inserted before the layer with the specified ID. By
-            default, scattermapbox layers are inserted above all
-            the base layers. To place the scattermapbox layers
-            above every other layer, set `below` to "''".
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattermapbox.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (lon,lat)
-            pair If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (lon,lat)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        lat
-            Sets the latitude coordinates (in degrees North).
-        latsrc
-            Sets the source reference on Chart Studio Cloud for
-            lat .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattermapbox.Line`
-            instance or dict with compatible properties
-        lon
-            Sets the longitude coordinates (in degrees East).
-        lonsrc
-            Sets the source reference on Chart Studio Cloud for
-            lon .
-        marker
-            :class:`plotly.graph_objects.scattermapbox.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover.
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattermapbox.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattermapbox.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a mapbox subplot. If "mapbox" (the default value),
-            the data refer to `layout.mapbox`. If "mapbox2", the
-            data refer to `layout.mapbox2`, and so on.
-        text
-            Sets text elements associated with each (lon,lat) pair
-            If a single string, the same string appears over all
-            the data points. If an array of string, the items are
-            mapped in order to the this trace's (lon,lat)
-            coordinates. If trace `hoverinfo` contains a "text"
-            flag and "hovertext" is not set, these elements will be
-            seen in the hover labels.
-        textfont
-            Sets the icon text font (color=mapbox.layer.paint.text-
-            color, size=mapbox.layer.layout.text-size). Has an
-            effect only when `type` is set to "symbol".
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `lat`, `lon`
-            and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattermapbox.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Scattermapbox
-        """
-        super(Scattermapbox, self).__init__("scattermapbox")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scattermapbox 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scattermapbox`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scattermapbox as v_scattermapbox
-
-        # Initialize validators
-        # ---------------------
-        self._validators["below"] = v_scattermapbox.BelowValidator()
-        self._validators["connectgaps"] = v_scattermapbox.ConnectgapsValidator()
-        self._validators["customdata"] = v_scattermapbox.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scattermapbox.CustomdatasrcValidator()
-        self._validators["fill"] = v_scattermapbox.FillValidator()
-        self._validators["fillcolor"] = v_scattermapbox.FillcolorValidator()
-        self._validators["hoverinfo"] = v_scattermapbox.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scattermapbox.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scattermapbox.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_scattermapbox.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_scattermapbox.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scattermapbox.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scattermapbox.HovertextsrcValidator()
-        self._validators["ids"] = v_scattermapbox.IdsValidator()
-        self._validators["idssrc"] = v_scattermapbox.IdssrcValidator()
-        self._validators["lat"] = v_scattermapbox.LatValidator()
-        self._validators["latsrc"] = v_scattermapbox.LatsrcValidator()
-        self._validators["legendgroup"] = v_scattermapbox.LegendgroupValidator()
-        self._validators["line"] = v_scattermapbox.LineValidator()
-        self._validators["lon"] = v_scattermapbox.LonValidator()
-        self._validators["lonsrc"] = v_scattermapbox.LonsrcValidator()
-        self._validators["marker"] = v_scattermapbox.MarkerValidator()
-        self._validators["meta"] = v_scattermapbox.MetaValidator()
-        self._validators["metasrc"] = v_scattermapbox.MetasrcValidator()
-        self._validators["mode"] = v_scattermapbox.ModeValidator()
-        self._validators["name"] = v_scattermapbox.NameValidator()
-        self._validators["opacity"] = v_scattermapbox.OpacityValidator()
-        self._validators["selected"] = v_scattermapbox.SelectedValidator()
-        self._validators["selectedpoints"] = v_scattermapbox.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scattermapbox.ShowlegendValidator()
-        self._validators["stream"] = v_scattermapbox.StreamValidator()
-        self._validators["subplot"] = v_scattermapbox.SubplotValidator()
-        self._validators["text"] = v_scattermapbox.TextValidator()
-        self._validators["textfont"] = v_scattermapbox.TextfontValidator()
-        self._validators["textposition"] = v_scattermapbox.TextpositionValidator()
-        self._validators["textsrc"] = v_scattermapbox.TextsrcValidator()
-        self._validators["texttemplate"] = v_scattermapbox.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scattermapbox.TexttemplatesrcValidator()
-        self._validators["uid"] = v_scattermapbox.UidValidator()
-        self._validators["uirevision"] = v_scattermapbox.UirevisionValidator()
-        self._validators["unselected"] = v_scattermapbox.UnselectedValidator()
-        self._validators["visible"] = v_scattermapbox.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("below", None)
-        self["below"] = below if below is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("lat", None)
-        self["lat"] = lat if lat is not None else _v
-        _v = arg.pop("latsrc", None)
-        self["latsrc"] = latsrc if latsrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("lon", None)
-        self["lon"] = lon if lon is not None else _v
-        _v = arg.pop("lonsrc", None)
-        self["lonsrc"] = lonsrc if lonsrc is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scattermapbox"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scattermapbox", val="scattermapbox"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scattergl(_BaseTraceType):
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # error_x
-    # -------
-    @property
-    def error_x(self):
-        """
-        The 'error_x' property is an instance of ErrorX
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.ErrorX`
-          - A dict of string/value properties that will be passed
-            to the ErrorX constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                copy_ystyle
-    
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.ErrorX
-        """
-        return self["error_x"]
-
-    @error_x.setter
-    def error_x(self, val):
-        self["error_x"] = val
-
-    # error_y
-    # -------
-    @property
-    def error_y(self):
-        """
-        The 'error_y' property is an instance of ErrorY
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.ErrorY`
-          - A dict of string/value properties that will be passed
-            to the ErrorY constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.ErrorY
-        """
-        return self["error_y"]
-
-    @error_y.setter
-    def error_y(self, val):
-        self["error_y"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Defaults to "none"
-        unless this trace is stacked, then it gets "tonexty"
-        ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor`
-        if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0
-        respectively. "tonextx" and "tonexty" fill between the
-        endpoints of this trace and the endpoints of the trace before
-        it, connecting those endpoints with straight lines (to make a
-        stacked area graph); if there is no trace before it, they
-        behave like "tozerox" and "tozeroy". "toself" connects the
-        endpoints of the trace (or each segment of the trace if it has
-        gaps) into a closed shape. "tonext" fills the space between two
-        traces if one completely encloses the other (eg consecutive
-        contour lines), and behaves like "toself" if there is no trace
-        before it. "tonext" should not be used if one trace does not
-        enclose the other. Traces in a `stackgroup` will only fill to
-        (or be filled to) other traces in the same group. With multiple
-        `stackgroup`s or some traces stacked and some not, if fill-
-        linked traces are not already consecutive, the later ones will
-        be pushed down in the drawing order.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx',
-                'toself', 'tonext']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the style of the lines.
-                shape
-                    Determines the line shape. The values
-                    correspond to step-wise line shapes.
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scattergl.marker.C
-                    olorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.scattergl.marker.L
-                    ine` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace.
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattergl.selected
-                    .Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scattergl.selected
-                    .Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattergl.unselect
-                    ed.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scattergl.unselect
-                    ed.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        error_x
-            :class:`plotly.graph_objects.scattergl.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.scattergl.ErrorY` instance
-            or dict with compatible properties
-        fill
-            Sets the area to fill with a solid color. Defaults to
-            "none" unless this trace is stacked, then it gets
-            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
-            with `fillcolor` if not "none". "tozerox" and "tozeroy"
-            fill to x=0 and y=0 respectively. "tonextx" and
-            "tonexty" fill between the endpoints of this trace and
-            the endpoints of the trace before it, connecting those
-            endpoints with straight lines (to make a stacked area
-            graph); if there is no trace before it, they behave
-            like "tozerox" and "tozeroy". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other. Traces in a `stackgroup` will only fill to (or
-            be filled to) other traces in the same group. With
-            multiple `stackgroup`s or some traces stacked and some
-            not, if fill-linked traces are not already consecutive,
-            the later ones will be pushed down in the drawing
-            order.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattergl.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattergl.Line` instance
-            or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scattergl.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace.
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattergl.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattergl.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattergl.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        error_x=None,
-        error_y=None,
-        fill=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ycalendar=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scattergl object
-        
-        The data visualized as scatter point or lines is set in `x` and
-        `y` using the WebGL plotting engine. Bubble charts are achieved
-        by setting `marker.size` and/or `marker.color` to a numerical
-        arrays.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scattergl`
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        error_x
-            :class:`plotly.graph_objects.scattergl.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.scattergl.ErrorY` instance
-            or dict with compatible properties
-        fill
-            Sets the area to fill with a solid color. Defaults to
-            "none" unless this trace is stacked, then it gets
-            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
-            with `fillcolor` if not "none". "tozerox" and "tozeroy"
-            fill to x=0 and y=0 respectively. "tonextx" and
-            "tonexty" fill between the endpoints of this trace and
-            the endpoints of the trace before it, connecting those
-            endpoints with straight lines (to make a stacked area
-            graph); if there is no trace before it, they behave
-            like "tozerox" and "tozeroy". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other. Traces in a `stackgroup` will only fill to (or
-            be filled to) other traces in the same group. With
-            multiple `stackgroup`s or some traces stacked and some
-            not, if fill-linked traces are not already consecutive,
-            the later ones will be pushed down in the drawing
-            order.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattergl.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattergl.Line` instance
-            or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scattergl.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace.
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattergl.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattergl.Stream` instance
-            or dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattergl.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Scattergl
-        """
-        super(Scattergl, self).__init__("scattergl")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scattergl 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scattergl`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scattergl as v_scattergl
-
-        # Initialize validators
-        # ---------------------
-        self._validators["connectgaps"] = v_scattergl.ConnectgapsValidator()
-        self._validators["customdata"] = v_scattergl.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scattergl.CustomdatasrcValidator()
-        self._validators["dx"] = v_scattergl.DxValidator()
-        self._validators["dy"] = v_scattergl.DyValidator()
-        self._validators["error_x"] = v_scattergl.ErrorXValidator()
-        self._validators["error_y"] = v_scattergl.ErrorYValidator()
-        self._validators["fill"] = v_scattergl.FillValidator()
-        self._validators["fillcolor"] = v_scattergl.FillcolorValidator()
-        self._validators["hoverinfo"] = v_scattergl.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scattergl.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scattergl.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_scattergl.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_scattergl.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scattergl.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scattergl.HovertextsrcValidator()
-        self._validators["ids"] = v_scattergl.IdsValidator()
-        self._validators["idssrc"] = v_scattergl.IdssrcValidator()
-        self._validators["legendgroup"] = v_scattergl.LegendgroupValidator()
-        self._validators["line"] = v_scattergl.LineValidator()
-        self._validators["marker"] = v_scattergl.MarkerValidator()
-        self._validators["meta"] = v_scattergl.MetaValidator()
-        self._validators["metasrc"] = v_scattergl.MetasrcValidator()
-        self._validators["mode"] = v_scattergl.ModeValidator()
-        self._validators["name"] = v_scattergl.NameValidator()
-        self._validators["opacity"] = v_scattergl.OpacityValidator()
-        self._validators["selected"] = v_scattergl.SelectedValidator()
-        self._validators["selectedpoints"] = v_scattergl.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scattergl.ShowlegendValidator()
-        self._validators["stream"] = v_scattergl.StreamValidator()
-        self._validators["text"] = v_scattergl.TextValidator()
-        self._validators["textfont"] = v_scattergl.TextfontValidator()
-        self._validators["textposition"] = v_scattergl.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_scattergl.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scattergl.TextsrcValidator()
-        self._validators["texttemplate"] = v_scattergl.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scattergl.TexttemplatesrcValidator()
-        self._validators["uid"] = v_scattergl.UidValidator()
-        self._validators["uirevision"] = v_scattergl.UirevisionValidator()
-        self._validators["unselected"] = v_scattergl.UnselectedValidator()
-        self._validators["visible"] = v_scattergl.VisibleValidator()
-        self._validators["x"] = v_scattergl.XValidator()
-        self._validators["x0"] = v_scattergl.X0Validator()
-        self._validators["xaxis"] = v_scattergl.XAxisValidator()
-        self._validators["xcalendar"] = v_scattergl.XcalendarValidator()
-        self._validators["xsrc"] = v_scattergl.XsrcValidator()
-        self._validators["y"] = v_scattergl.YValidator()
-        self._validators["y0"] = v_scattergl.Y0Validator()
-        self._validators["yaxis"] = v_scattergl.YAxisValidator()
-        self._validators["ycalendar"] = v_scattergl.YcalendarValidator()
-        self._validators["ysrc"] = v_scattergl.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("error_x", None)
-        self["error_x"] = error_x if error_x is not None else _v
-        _v = arg.pop("error_y", None)
-        self["error_y"] = error_y if error_y is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scattergl"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scattergl", val="scattergl"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scattergeo(_BaseTraceType):
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # featureidkey
-    # ------------
-    @property
-    def featureidkey(self):
-        """
-        Sets the key in GeoJSON features which is used as id to match
-        the items included in the `locations` array. Only has an effect
-        when `geojson` is set. Support nested property, for example
-        "properties.name".
-    
-        The 'featureidkey' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["featureidkey"]
-
-    @featureidkey.setter
-    def featureidkey(self, val):
-        self["featureidkey"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Use with `fillcolor`
-        if not "none". "toself" connects the endpoints of the trace (or
-        each segment of the trace if it has gaps) into a closed shape.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'toself']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # geo
-    # ---
-    @property
-    def geo(self):
-        """
-        Sets a reference between this trace's geospatial coordinates
-        and a geographic map. If "geo" (the default value), the
-        geospatial coordinates refer to `layout.geo`. If "geo2", the
-        geospatial coordinates refer to `layout.geo2`, and so on.
-    
-        The 'geo' property is an identifier of a particular
-        subplot, of type 'geo', that may be specified as the string 'geo'
-        optionally followed by an integer >= 1
-        (e.g. 'geo', 'geo1', 'geo2', 'geo3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["geo"]
-
-    @geo.setter
-    def geo(self, val):
-        self["geo"] = val
-
-    # geojson
-    # -------
-    @property
-    def geojson(self):
-        """
-        Sets optional GeoJSON data associated with this trace. If not
-        given, the features on the base map are used when `locations`
-        is set. It can be set as a valid GeoJSON object or as a URL
-        string. Note that we only accept GeoJSONs of type
-        "FeatureCollection" or "Feature" with geometries of type
-        "Polygon" or "MultiPolygon".
-    
-        The 'geojson' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["geojson"]
-
-    @geojson.setter
-    def geojson(self, val):
-        self["geojson"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lon', 'lat', 'location', 'text', 'name'] joined with '+' characters
-            (e.g. 'lon+lat')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (lon,lat) pair or
-        item in `locations`. If a single string, the same string
-        appears over all the data points. If an array of string, the
-        items are mapped in order to the this trace's (lon,lat) or
-        `locations` coordinates. To be seen, trace `hoverinfo` must
-        contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # lat
-    # ---
-    @property
-    def lat(self):
-        """
-        Sets the latitude coordinates (in degrees North).
-    
-        The 'lat' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lat"]
-
-    @lat.setter
-    def lat(self, val):
-        self["lat"] = val
-
-    # latsrc
-    # ------
-    @property
-    def latsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lat .
-    
-        The 'latsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["latsrc"]
-
-    @latsrc.setter
-    def latsrc(self, val):
-        self["latsrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # locationmode
-    # ------------
-    @property
-    def locationmode(self):
-        """
-        Determines the set of locations used to match entries in
-        `locations` to regions on the map. Values "ISO-3", "USA-
-        states", *country names* correspond to features on the base map
-        and value "geojson-id" corresponds to features from a custom
-        GeoJSON linked to the `geojson` attribute.
-    
-        The 'locationmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['ISO-3', 'USA-states', 'country names', 'geojson-id']
-
-        Returns
-        -------
-        Any
-        """
-        return self["locationmode"]
-
-    @locationmode.setter
-    def locationmode(self, val):
-        self["locationmode"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Sets the coordinates via location IDs or names. Coordinates
-        correspond to the centroid of each location given. See
-        `locationmode` for more info.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # lon
-    # ---
-    @property
-    def lon(self):
-        """
-        Sets the longitude coordinates (in degrees East).
-    
-        The 'lon' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lon"]
-
-    @lon.setter
-    def lon(self, val):
-        self["lon"] = val
-
-    # lonsrc
-    # ------
-    @property
-    def lonsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lon .
-    
-        The 'lonsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["lonsrc"]
-
-    @lonsrc.setter
-    def lonsrc(self, val):
-        self["lonsrc"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scattergeo.marker.
-                    ColorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                gradient
-                    :class:`plotly.graph_objects.scattergeo.marker.
-                    Gradient` instance or dict with compatible
-                    properties
-                line
-                    :class:`plotly.graph_objects.scattergeo.marker.
-                    Line` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattergeo.selecte
-                    d.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scattergeo.selecte
-                    d.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (lon,lat) pair or item
-        in `locations`. If a single string, the same string appears
-        over all the data points. If an array of string, the items are
-        mapped in order to the this trace's (lon,lat) or `locations`
-        coordinates. If trace `hoverinfo` contains a "text" flag and
-        "hovertext" is not set, these elements will be seen in the
-        hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `lat`, `lon`, `location` and `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattergeo.unselec
-                    ted.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scattergeo.unselec
-                    ted.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        featureidkey
-            Sets the key in GeoJSON features which is used as id to
-            match the items included in the `locations` array. Only
-            has an effect when `geojson` is set. Support nested
-            property, for example "properties.name".
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        geo
-            Sets a reference between this trace's geospatial
-            coordinates and a geographic map. If "geo" (the default
-            value), the geospatial coordinates refer to
-            `layout.geo`. If "geo2", the geospatial coordinates
-            refer to `layout.geo2`, and so on.
-        geojson
-            Sets optional GeoJSON data associated with this trace.
-            If not given, the features on the base map are used
-            when `locations` is set. It can be set as a valid
-            GeoJSON object or as a URL string. Note that we only
-            accept GeoJSONs of type "FeatureCollection" or
-            "Feature" with geometries of type "Polygon" or
-            "MultiPolygon".
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattergeo.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (lon,lat)
-            pair or item in `locations`. If a single string, the
-            same string appears over all the data points. If an
-            array of string, the items are mapped in order to the
-            this trace's (lon,lat) or `locations` coordinates. To
-            be seen, trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        lat
-            Sets the latitude coordinates (in degrees North).
-        latsrc
-            Sets the source reference on Chart Studio Cloud for
-            lat .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattergeo.Line` instance
-            or dict with compatible properties
-        locationmode
-            Determines the set of locations used to match entries
-            in `locations` to regions on the map. Values "ISO-3",
-            "USA-states", *country names* correspond to features on
-            the base map and value "geojson-id" corresponds to
-            features from a custom GeoJSON linked to the `geojson`
-            attribute.
-        locations
-            Sets the coordinates via location IDs or names.
-            Coordinates correspond to the centroid of each location
-            given. See `locationmode` for more info.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        lon
-            Sets the longitude coordinates (in degrees East).
-        lonsrc
-            Sets the source reference on Chart Studio Cloud for
-            lon .
-        marker
-            :class:`plotly.graph_objects.scattergeo.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattergeo.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattergeo.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each (lon,lat) pair
-            or item in `locations`. If a single string, the same
-            string appears over all the data points. If an array of
-            string, the items are mapped in order to the this
-            trace's (lon,lat) or `locations` coordinates. If trace
-            `hoverinfo` contains a "text" flag and "hovertext" is
-            not set, these elements will be seen in the hover
-            labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `lat`, `lon`,
-            `location` and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattergeo.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        featureidkey=None,
-        fill=None,
-        fillcolor=None,
-        geo=None,
-        geojson=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        lat=None,
-        latsrc=None,
-        legendgroup=None,
-        line=None,
-        locationmode=None,
-        locations=None,
-        locationssrc=None,
-        lon=None,
-        lonsrc=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scattergeo object
-        
-        The data visualized as scatter point or lines on a geographic
-        map is provided either by longitude/latitude pairs in `lon` and
-        `lat` respectively or by geographic location IDs or names in
-        `locations`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scattergeo`
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        featureidkey
-            Sets the key in GeoJSON features which is used as id to
-            match the items included in the `locations` array. Only
-            has an effect when `geojson` is set. Support nested
-            property, for example "properties.name".
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        geo
-            Sets a reference between this trace's geospatial
-            coordinates and a geographic map. If "geo" (the default
-            value), the geospatial coordinates refer to
-            `layout.geo`. If "geo2", the geospatial coordinates
-            refer to `layout.geo2`, and so on.
-        geojson
-            Sets optional GeoJSON data associated with this trace.
-            If not given, the features on the base map are used
-            when `locations` is set. It can be set as a valid
-            GeoJSON object or as a URL string. Note that we only
-            accept GeoJSONs of type "FeatureCollection" or
-            "Feature" with geometries of type "Polygon" or
-            "MultiPolygon".
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattergeo.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (lon,lat)
-            pair or item in `locations`. If a single string, the
-            same string appears over all the data points. If an
-            array of string, the items are mapped in order to the
-            this trace's (lon,lat) or `locations` coordinates. To
-            be seen, trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        lat
-            Sets the latitude coordinates (in degrees North).
-        latsrc
-            Sets the source reference on Chart Studio Cloud for
-            lat .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattergeo.Line` instance
-            or dict with compatible properties
-        locationmode
-            Determines the set of locations used to match entries
-            in `locations` to regions on the map. Values "ISO-3",
-            "USA-states", *country names* correspond to features on
-            the base map and value "geojson-id" corresponds to
-            features from a custom GeoJSON linked to the `geojson`
-            attribute.
-        locations
-            Sets the coordinates via location IDs or names.
-            Coordinates correspond to the centroid of each location
-            given. See `locationmode` for more info.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        lon
-            Sets the longitude coordinates (in degrees East).
-        lonsrc
-            Sets the source reference on Chart Studio Cloud for
-            lon .
-        marker
-            :class:`plotly.graph_objects.scattergeo.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattergeo.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattergeo.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each (lon,lat) pair
-            or item in `locations`. If a single string, the same
-            string appears over all the data points. If an array of
-            string, the items are mapped in order to the this
-            trace's (lon,lat) or `locations` coordinates. If trace
-            `hoverinfo` contains a "text" flag and "hovertext" is
-            not set, these elements will be seen in the hover
-            labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `lat`, `lon`,
-            `location` and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattergeo.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Scattergeo
-        """
-        super(Scattergeo, self).__init__("scattergeo")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scattergeo 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scattergeo`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scattergeo as v_scattergeo
-
-        # Initialize validators
-        # ---------------------
-        self._validators["connectgaps"] = v_scattergeo.ConnectgapsValidator()
-        self._validators["customdata"] = v_scattergeo.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scattergeo.CustomdatasrcValidator()
-        self._validators["featureidkey"] = v_scattergeo.FeatureidkeyValidator()
-        self._validators["fill"] = v_scattergeo.FillValidator()
-        self._validators["fillcolor"] = v_scattergeo.FillcolorValidator()
-        self._validators["geo"] = v_scattergeo.GeoValidator()
-        self._validators["geojson"] = v_scattergeo.GeojsonValidator()
-        self._validators["hoverinfo"] = v_scattergeo.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scattergeo.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scattergeo.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_scattergeo.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_scattergeo.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scattergeo.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scattergeo.HovertextsrcValidator()
-        self._validators["ids"] = v_scattergeo.IdsValidator()
-        self._validators["idssrc"] = v_scattergeo.IdssrcValidator()
-        self._validators["lat"] = v_scattergeo.LatValidator()
-        self._validators["latsrc"] = v_scattergeo.LatsrcValidator()
-        self._validators["legendgroup"] = v_scattergeo.LegendgroupValidator()
-        self._validators["line"] = v_scattergeo.LineValidator()
-        self._validators["locationmode"] = v_scattergeo.LocationmodeValidator()
-        self._validators["locations"] = v_scattergeo.LocationsValidator()
-        self._validators["locationssrc"] = v_scattergeo.LocationssrcValidator()
-        self._validators["lon"] = v_scattergeo.LonValidator()
-        self._validators["lonsrc"] = v_scattergeo.LonsrcValidator()
-        self._validators["marker"] = v_scattergeo.MarkerValidator()
-        self._validators["meta"] = v_scattergeo.MetaValidator()
-        self._validators["metasrc"] = v_scattergeo.MetasrcValidator()
-        self._validators["mode"] = v_scattergeo.ModeValidator()
-        self._validators["name"] = v_scattergeo.NameValidator()
-        self._validators["opacity"] = v_scattergeo.OpacityValidator()
-        self._validators["selected"] = v_scattergeo.SelectedValidator()
-        self._validators["selectedpoints"] = v_scattergeo.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scattergeo.ShowlegendValidator()
-        self._validators["stream"] = v_scattergeo.StreamValidator()
-        self._validators["text"] = v_scattergeo.TextValidator()
-        self._validators["textfont"] = v_scattergeo.TextfontValidator()
-        self._validators["textposition"] = v_scattergeo.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_scattergeo.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scattergeo.TextsrcValidator()
-        self._validators["texttemplate"] = v_scattergeo.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scattergeo.TexttemplatesrcValidator()
-        self._validators["uid"] = v_scattergeo.UidValidator()
-        self._validators["uirevision"] = v_scattergeo.UirevisionValidator()
-        self._validators["unselected"] = v_scattergeo.UnselectedValidator()
-        self._validators["visible"] = v_scattergeo.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("featureidkey", None)
-        self["featureidkey"] = featureidkey if featureidkey is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("geo", None)
-        self["geo"] = geo if geo is not None else _v
-        _v = arg.pop("geojson", None)
-        self["geojson"] = geojson if geojson is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("lat", None)
-        self["lat"] = lat if lat is not None else _v
-        _v = arg.pop("latsrc", None)
-        self["latsrc"] = latsrc if latsrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("locationmode", None)
-        self["locationmode"] = locationmode if locationmode is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("lon", None)
-        self["lon"] = lon if lon is not None else _v
-        _v = arg.pop("lonsrc", None)
-        self["lonsrc"] = lonsrc if lonsrc is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scattergeo"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scattergeo", val="scattergeo"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scattercarpet(_BaseTraceType):
-
-    # a
-    # -
-    @property
-    def a(self):
-        """
-        Sets the a-axis coordinates.
-    
-        The 'a' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["a"]
-
-    @a.setter
-    def a(self, val):
-        self["a"] = val
-
-    # asrc
-    # ----
-    @property
-    def asrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  a .
-    
-        The 'asrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["asrc"]
-
-    @asrc.setter
-    def asrc(self, val):
-        self["asrc"] = val
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        Sets the b-axis coordinates.
-    
-        The 'b' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # bsrc
-    # ----
-    @property
-    def bsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  b .
-    
-        The 'bsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bsrc"]
-
-    @bsrc.setter
-    def bsrc(self, val):
-        self["bsrc"] = val
-
-    # carpet
-    # ------
-    @property
-    def carpet(self):
-        """
-        An identifier for this carpet, so that `scattercarpet` and
-        `contourcarpet` traces can specify a carpet plot on which they
-        lie
-    
-        The 'carpet' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["carpet"]
-
-    @carpet.setter
-    def carpet(self, val):
-        self["carpet"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Use with `fillcolor`
-        if not "none". scatterternary has a subset of the options
-        available to scatter. "toself" connects the endpoints of the
-        trace (or each segment of the trace if it has gaps) into a
-        closed shape. "tonext" fills the space between two traces if
-        one completely encloses the other (eg consecutive contour
-        lines), and behaves like "toself" if there is no trace before
-        it. "tonext" should not be used if one trace does not enclose
-        the other.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'toself', 'tonext']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['a', 'b', 'text', 'name'] joined with '+' characters
-            (e.g. 'a+b')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Do the hover effects highlight individual points (markers or
-        line points) or do they highlight filled regions? If the fill
-        is "toself" or "tonext" and there are no markers or text, then
-        the default is "fills", otherwise it is "points".
-    
-        The 'hoveron' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['points', 'fills'] joined with '+' characters
-            (e.g. 'points+fills')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (a,b) point. If a
-        single string, the same string appears over all the data
-        points. If an array of strings, the items are mapped in order
-        to the the data points in (a,b). To be seen, trace `hoverinfo`
-        must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                shape
-                    Determines the line shape. With "spline" the
-                    lines are drawn using spline interpolation. The
-                    other available values correspond to step-wise
-                    line shapes.
-                smoothing
-                    Has an effect only if `shape` is set to
-                    "spline" Sets the amount of smoothing. 0
-                    corresponds to no smoothing (equivalent to a
-                    "linear" shape).
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scattercarpet.mark
-                    er.ColorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                gradient
-                    :class:`plotly.graph_objects.scattercarpet.mark
-                    er.Gradient` instance or dict with compatible
-                    properties
-                line
-                    :class:`plotly.graph_objects.scattercarpet.mark
-                    er.Line` instance or dict with compatible
-                    properties
-                maxdisplayed
-                    Sets a maximum number of points to be drawn on
-                    the graph. 0 corresponds to no limit.
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattercarpet.sele
-                    cted.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scattercarpet.sele
-                    cted.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (a,b) point. If a
-        single string, the same string appears over all the data
-        points. If an array of strings, the items are mapped in order
-        to the the data points in (a,b). If trace `hoverinfo` contains
-        a "text" flag and "hovertext" is not set, these elements will
-        be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `a`, `b` and `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scattercarpet.unse
-                    lected.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scattercarpet.unse
-                    lected.Textfont` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        a
-            Sets the a-axis coordinates.
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        b
-            Sets the b-axis coordinates.
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        carpet
-            An identifier for this carpet, so that `scattercarpet`
-            and `contourcarpet` traces can specify a carpet plot on
-            which they lie
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". scatterternary has a subset
-            of the options available to scatter. "toself" connects
-            the endpoints of the trace (or each segment of the
-            trace if it has gaps) into a closed shape. "tonext"
-            fills the space between two traces if one completely
-            encloses the other (eg consecutive contour lines), and
-            behaves like "toself" if there is no trace before it.
-            "tonext" should not be used if one trace does not
-            enclose the other.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattercarpet.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (a,b)
-            point. If a single string, the same string appears over
-            all the data points. If an array of strings, the items
-            are mapped in order to the the data points in (a,b). To
-            be seen, trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattercarpet.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scattercarpet.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattercarpet.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattercarpet.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each (a,b) point. If
-            a single string, the same string appears over all the
-            data points. If an array of strings, the items are
-            mapped in order to the the data points in (a,b). If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `a`, `b` and
-            `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattercarpet.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        a=None,
-        asrc=None,
-        b=None,
-        bsrc=None,
-        carpet=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        fill=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoveron=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        xaxis=None,
-        yaxis=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scattercarpet object
-        
-        Plots a scatter trace on either the first carpet axis or the
-        carpet axis with a matching `carpet` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scattercarpet`
-        a
-            Sets the a-axis coordinates.
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        b
-            Sets the b-axis coordinates.
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        carpet
-            An identifier for this carpet, so that `scattercarpet`
-            and `contourcarpet` traces can specify a carpet plot on
-            which they lie
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        fill
-            Sets the area to fill with a solid color. Use with
-            `fillcolor` if not "none". scatterternary has a subset
-            of the options available to scatter. "toself" connects
-            the endpoints of the trace (or each segment of the
-            trace if it has gaps) into a closed shape. "tonext"
-            fills the space between two traces if one completely
-            encloses the other (eg consecutive contour lines), and
-            behaves like "toself" if there is no trace before it.
-            "tonext" should not be used if one trace does not
-            enclose the other.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scattercarpet.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (a,b)
-            point. If a single string, the same string appears over
-            all the data points. If an array of strings, the items
-            are mapped in order to the the data points in (a,b). To
-            be seen, trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scattercarpet.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scattercarpet.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        selected
-            :class:`plotly.graph_objects.scattercarpet.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scattercarpet.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each (a,b) point. If
-            a single string, the same string appears over all the
-            data points. If an array of strings, the items are
-            mapped in order to the the data points in (a,b). If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `a`, `b` and
-            `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scattercarpet.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-
-        Returns
-        -------
-        Scattercarpet
-        """
-        super(Scattercarpet, self).__init__("scattercarpet")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scattercarpet 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scattercarpet`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scattercarpet as v_scattercarpet
-
-        # Initialize validators
-        # ---------------------
-        self._validators["a"] = v_scattercarpet.AValidator()
-        self._validators["asrc"] = v_scattercarpet.AsrcValidator()
-        self._validators["b"] = v_scattercarpet.BValidator()
-        self._validators["bsrc"] = v_scattercarpet.BsrcValidator()
-        self._validators["carpet"] = v_scattercarpet.CarpetValidator()
-        self._validators["connectgaps"] = v_scattercarpet.ConnectgapsValidator()
-        self._validators["customdata"] = v_scattercarpet.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scattercarpet.CustomdatasrcValidator()
-        self._validators["fill"] = v_scattercarpet.FillValidator()
-        self._validators["fillcolor"] = v_scattercarpet.FillcolorValidator()
-        self._validators["hoverinfo"] = v_scattercarpet.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scattercarpet.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scattercarpet.HoverlabelValidator()
-        self._validators["hoveron"] = v_scattercarpet.HoveronValidator()
-        self._validators["hovertemplate"] = v_scattercarpet.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_scattercarpet.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scattercarpet.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scattercarpet.HovertextsrcValidator()
-        self._validators["ids"] = v_scattercarpet.IdsValidator()
-        self._validators["idssrc"] = v_scattercarpet.IdssrcValidator()
-        self._validators["legendgroup"] = v_scattercarpet.LegendgroupValidator()
-        self._validators["line"] = v_scattercarpet.LineValidator()
-        self._validators["marker"] = v_scattercarpet.MarkerValidator()
-        self._validators["meta"] = v_scattercarpet.MetaValidator()
-        self._validators["metasrc"] = v_scattercarpet.MetasrcValidator()
-        self._validators["mode"] = v_scattercarpet.ModeValidator()
-        self._validators["name"] = v_scattercarpet.NameValidator()
-        self._validators["opacity"] = v_scattercarpet.OpacityValidator()
-        self._validators["selected"] = v_scattercarpet.SelectedValidator()
-        self._validators["selectedpoints"] = v_scattercarpet.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scattercarpet.ShowlegendValidator()
-        self._validators["stream"] = v_scattercarpet.StreamValidator()
-        self._validators["text"] = v_scattercarpet.TextValidator()
-        self._validators["textfont"] = v_scattercarpet.TextfontValidator()
-        self._validators["textposition"] = v_scattercarpet.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_scattercarpet.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scattercarpet.TextsrcValidator()
-        self._validators["texttemplate"] = v_scattercarpet.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scattercarpet.TexttemplatesrcValidator()
-        self._validators["uid"] = v_scattercarpet.UidValidator()
-        self._validators["uirevision"] = v_scattercarpet.UirevisionValidator()
-        self._validators["unselected"] = v_scattercarpet.UnselectedValidator()
-        self._validators["visible"] = v_scattercarpet.VisibleValidator()
-        self._validators["xaxis"] = v_scattercarpet.XAxisValidator()
-        self._validators["yaxis"] = v_scattercarpet.YAxisValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("a", None)
-        self["a"] = a if a is not None else _v
-        _v = arg.pop("asrc", None)
-        self["asrc"] = asrc if asrc is not None else _v
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("bsrc", None)
-        self["bsrc"] = bsrc if bsrc is not None else _v
-        _v = arg.pop("carpet", None)
-        self["carpet"] = carpet if carpet is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scattercarpet"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scattercarpet", val="scattercarpet"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scatter3d(_BaseTraceType):
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # error_x
-    # -------
-    @property
-    def error_x(self):
-        """
-        The 'error_x' property is an instance of ErrorX
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.ErrorX`
-          - A dict of string/value properties that will be passed
-            to the ErrorX constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                copy_zstyle
-    
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.ErrorX
-        """
-        return self["error_x"]
-
-    @error_x.setter
-    def error_x(self, val):
-        self["error_x"] = val
-
-    # error_y
-    # -------
-    @property
-    def error_y(self):
-        """
-        The 'error_y' property is an instance of ErrorY
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.ErrorY`
-          - A dict of string/value properties that will be passed
-            to the ErrorY constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                copy_zstyle
-    
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.ErrorY
-        """
-        return self["error_y"]
-
-    @error_y.setter
-    def error_y(self, val):
-        self["error_y"] = val
-
-    # error_z
-    # -------
-    @property
-    def error_z(self):
-        """
-        The 'error_z' property is an instance of ErrorZ
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.ErrorZ`
-          - A dict of string/value properties that will be passed
-            to the ErrorZ constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.ErrorZ
-        """
-        return self["error_z"]
-
-    @error_z.setter
-    def error_z(self, val):
-        self["error_z"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets text elements associated with each (x,y,z) triplet. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y,z) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `line.colorscale`. Has an effect
-                    only if in `line.color`is set to a numerical
-                    array. In case `colorscale` is unspecified or
-                    `autocolorscale` is true, the default  palette
-                    will be chosen according to whether numbers in
-                    the `color` array are all positive, all
-                    negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `line.color`) or the bounds set in
-                    `line.cmin` and `line.cmax`  Has an effect only
-                    if in `line.color`is set to a numerical array.
-                    Defaults to `false` when `line.cmin` and
-                    `line.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `line.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `line.color` and if set,
-                    `line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `line.cmin` and/or `line.cmax` to be
-                    equidistant to this point. Has an effect only
-                    if in `line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `line.color`. Has no effect when `line.cauto`
-                    is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `line.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `line.color` and if set,
-                    `line.cmax` must be set as well.
-                color
-                    Sets thelinecolor. It accepts either a specific
-                    color or an array of numbers that are mapped to
-                    the colorscale relative to the max and min
-                    values of the array or relative to `line.cmin`
-                    and `line.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scatter3d.line.Col
-                    orBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `line.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`line.cmin` and `line.cmax`.
-                    Alternatively, `colorscale` may be a palette
-                    name string of the following list: Greys,YlGnBu
-                    ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
-                    ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
-                    c,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                dash
-                    Sets the dash style of the lines.
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `line.color`is set to a
-                    numerical array. If true, `line.cmin` will
-                    correspond to the last color in the array and
-                    `line.cmax` will correspond to the first color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `line.color`is set to a numerical array.
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scatter3d.marker.C
-                    olorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.scatter3d.marker.L
-                    ine` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the marker opacity. Note that the marker
-                    opacity for scatter3d traces must be a scalar
-                    value for performance reasons. To set a
-                    blending opacity value (i.e. which is not
-                    transparent), set "marker.color" to an rgba
-                    color and use its alpha channel.
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # projection
-    # ----------
-    @property
-    def projection(self):
-        """
-        The 'projection' property is an instance of Projection
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.Projection`
-          - A dict of string/value properties that will be passed
-            to the Projection constructor
-    
-            Supported dict properties:
-                
-                x
-                    :class:`plotly.graph_objects.scatter3d.projecti
-                    on.X` instance or dict with compatible
-                    properties
-                y
-                    :class:`plotly.graph_objects.scatter3d.projecti
-                    on.Y` instance or dict with compatible
-                    properties
-                z
-                    :class:`plotly.graph_objects.scatter3d.projecti
-                    on.Z` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.Projection
-        """
-        return self["projection"]
-
-    @projection.setter
-    def projection(self, val):
-        self["projection"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # surfaceaxis
-    # -----------
-    @property
-    def surfaceaxis(self):
-        """
-        If "-1", the scatter points are not fill with a surface If 0,
-        1, 2, the scatter points are filled with a Delaunay surface
-        about the x, y, z respectively.
-    
-        The 'surfaceaxis' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [-1, 0, 1, 2]
-
-        Returns
-        -------
-        Any
-        """
-        return self["surfaceaxis"]
-
-    @surfaceaxis.setter
-    def surfaceaxis(self, val):
-        self["surfaceaxis"] = val
-
-    # surfacecolor
-    # ------------
-    @property
-    def surfacecolor(self):
-        """
-        Sets the surface fill color.
-    
-        The 'surfacecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["surfacecolor"]
-
-    @surfacecolor.setter
-    def surfacecolor(self, val):
-        self["surfacecolor"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y,z) triplet. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y,z) coordinates. If trace `hoverinfo`
-        contains a "text" flag and "hovertext" is not set, these
-        elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z coordinates.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zcalendar
-    # ---------
-    @property
-    def zcalendar(self):
-        """
-        Sets the calendar system to use with `z` date data.
-    
-        The 'zcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["zcalendar"]
-
-    @zcalendar.setter
-    def zcalendar(self, val):
-        self["zcalendar"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        error_x
-            :class:`plotly.graph_objects.scatter3d.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.scatter3d.ErrorY` instance
-            or dict with compatible properties
-        error_z
-            :class:`plotly.graph_objects.scatter3d.ErrorZ` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatter3d.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets text elements associated with each (x,y,z)
-            triplet. If a single string, the same string appears
-            over all the data points. If an array of string, the
-            items are mapped in order to the this trace's (x,y,z)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatter3d.Line` instance
-            or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatter3d.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        projection
-            :class:`plotly.graph_objects.scatter3d.Projection`
-            instance or dict with compatible properties
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatter3d.Stream` instance
-            or dict with compatible properties
-        surfaceaxis
-            If "-1", the scatter points are not fill with a surface
-            If 0, 1, 2, the scatter points are filled with a
-            Delaunay surface about the x, y, z respectively.
-        surfacecolor
-            Sets the surface fill color.
-        text
-            Sets text elements associated with each (x,y,z)
-            triplet. If a single string, the same string appears
-            over all the data points. If an array of string, the
-            items are mapped in order to the this trace's (x,y,z)
-            coordinates. If trace `hoverinfo` contains a "text"
-            flag and "hovertext" is not set, these elements will be
-            seen in the hover labels.
-        textfont
-            :class:`plotly.graph_objects.scatter3d.Textfont`
-            instance or dict with compatible properties
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates.
-        zcalendar
-            Sets the calendar system to use with `z` date data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        error_x=None,
-        error_y=None,
-        error_z=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        projection=None,
-        scene=None,
-        showlegend=None,
-        stream=None,
-        surfaceaxis=None,
-        surfacecolor=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        ycalendar=None,
-        ysrc=None,
-        z=None,
-        zcalendar=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scatter3d object
-        
-        The data visualized as scatter point or lines in 3D dimension
-        is set in `x`, `y`, `z`. Text (appearing either on the chart or
-        on hover only) is via `text`. Bubble charts are achieved by
-        setting `marker.size` and/or `marker.color` Projections are
-        achieved via `projection`. Surface fills are achieved via
-        `surfaceaxis`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scatter3d`
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        error_x
-            :class:`plotly.graph_objects.scatter3d.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.scatter3d.ErrorY` instance
-            or dict with compatible properties
-        error_z
-            :class:`plotly.graph_objects.scatter3d.ErrorZ` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatter3d.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets text elements associated with each (x,y,z)
-            triplet. If a single string, the same string appears
-            over all the data points. If an array of string, the
-            items are mapped in order to the this trace's (x,y,z)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatter3d.Line` instance
-            or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatter3d.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        projection
-            :class:`plotly.graph_objects.scatter3d.Projection`
-            instance or dict with compatible properties
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.scatter3d.Stream` instance
-            or dict with compatible properties
-        surfaceaxis
-            If "-1", the scatter points are not fill with a surface
-            If 0, 1, 2, the scatter points are filled with a
-            Delaunay surface about the x, y, z respectively.
-        surfacecolor
-            Sets the surface fill color.
-        text
-            Sets text elements associated with each (x,y,z)
-            triplet. If a single string, the same string appears
-            over all the data points. If an array of string, the
-            items are mapped in order to the this trace's (x,y,z)
-            coordinates. If trace `hoverinfo` contains a "text"
-            flag and "hovertext" is not set, these elements will be
-            seen in the hover labels.
-        textfont
-            :class:`plotly.graph_objects.scatter3d.Textfont`
-            instance or dict with compatible properties
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates.
-        zcalendar
-            Sets the calendar system to use with `z` date data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Scatter3d
-        """
-        super(Scatter3d, self).__init__("scatter3d")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scatter3d 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scatter3d`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scatter3d as v_scatter3d
-
-        # Initialize validators
-        # ---------------------
-        self._validators["connectgaps"] = v_scatter3d.ConnectgapsValidator()
-        self._validators["customdata"] = v_scatter3d.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scatter3d.CustomdatasrcValidator()
-        self._validators["error_x"] = v_scatter3d.ErrorXValidator()
-        self._validators["error_y"] = v_scatter3d.ErrorYValidator()
-        self._validators["error_z"] = v_scatter3d.ErrorZValidator()
-        self._validators["hoverinfo"] = v_scatter3d.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scatter3d.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scatter3d.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_scatter3d.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_scatter3d.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scatter3d.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scatter3d.HovertextsrcValidator()
-        self._validators["ids"] = v_scatter3d.IdsValidator()
-        self._validators["idssrc"] = v_scatter3d.IdssrcValidator()
-        self._validators["legendgroup"] = v_scatter3d.LegendgroupValidator()
-        self._validators["line"] = v_scatter3d.LineValidator()
-        self._validators["marker"] = v_scatter3d.MarkerValidator()
-        self._validators["meta"] = v_scatter3d.MetaValidator()
-        self._validators["metasrc"] = v_scatter3d.MetasrcValidator()
-        self._validators["mode"] = v_scatter3d.ModeValidator()
-        self._validators["name"] = v_scatter3d.NameValidator()
-        self._validators["opacity"] = v_scatter3d.OpacityValidator()
-        self._validators["projection"] = v_scatter3d.ProjectionValidator()
-        self._validators["scene"] = v_scatter3d.SceneValidator()
-        self._validators["showlegend"] = v_scatter3d.ShowlegendValidator()
-        self._validators["stream"] = v_scatter3d.StreamValidator()
-        self._validators["surfaceaxis"] = v_scatter3d.SurfaceaxisValidator()
-        self._validators["surfacecolor"] = v_scatter3d.SurfacecolorValidator()
-        self._validators["text"] = v_scatter3d.TextValidator()
-        self._validators["textfont"] = v_scatter3d.TextfontValidator()
-        self._validators["textposition"] = v_scatter3d.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_scatter3d.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scatter3d.TextsrcValidator()
-        self._validators["texttemplate"] = v_scatter3d.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scatter3d.TexttemplatesrcValidator()
-        self._validators["uid"] = v_scatter3d.UidValidator()
-        self._validators["uirevision"] = v_scatter3d.UirevisionValidator()
-        self._validators["visible"] = v_scatter3d.VisibleValidator()
-        self._validators["x"] = v_scatter3d.XValidator()
-        self._validators["xcalendar"] = v_scatter3d.XcalendarValidator()
-        self._validators["xsrc"] = v_scatter3d.XsrcValidator()
-        self._validators["y"] = v_scatter3d.YValidator()
-        self._validators["ycalendar"] = v_scatter3d.YcalendarValidator()
-        self._validators["ysrc"] = v_scatter3d.YsrcValidator()
-        self._validators["z"] = v_scatter3d.ZValidator()
-        self._validators["zcalendar"] = v_scatter3d.ZcalendarValidator()
-        self._validators["zsrc"] = v_scatter3d.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("error_x", None)
-        self["error_x"] = error_x if error_x is not None else _v
-        _v = arg.pop("error_y", None)
-        self["error_y"] = error_y if error_y is not None else _v
-        _v = arg.pop("error_z", None)
-        self["error_z"] = error_z if error_z is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("projection", None)
-        self["projection"] = projection if projection is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("surfaceaxis", None)
-        self["surfaceaxis"] = surfaceaxis if surfaceaxis is not None else _v
-        _v = arg.pop("surfacecolor", None)
-        self["surfacecolor"] = surfacecolor if surfacecolor is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zcalendar", None)
-        self["zcalendar"] = zcalendar if zcalendar is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scatter3d"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scatter3d", val="scatter3d"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Scatter(_BaseTraceType):
-
-    # cliponaxis
-    # ----------
-    @property
-    def cliponaxis(self):
-        """
-        Determines whether or not markers and text nodes are clipped
-        about the subplot axes. To show markers and text nodes above
-        axis lines and tick labels, make sure to set `xaxis.layer` and
-        `yaxis.layer` to *below traces*.
-    
-        The 'cliponaxis' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cliponaxis"]
-
-    @cliponaxis.setter
-    def cliponaxis(self, val):
-        self["cliponaxis"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the provided data arrays are connected.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # error_x
-    # -------
-    @property
-    def error_x(self):
-        """
-        The 'error_x' property is an instance of ErrorX
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.ErrorX`
-          - A dict of string/value properties that will be passed
-            to the ErrorX constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                copy_ystyle
-    
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.ErrorX
-        """
-        return self["error_x"]
-
-    @error_x.setter
-    def error_x(self, val):
-        self["error_x"] = val
-
-    # error_y
-    # -------
-    @property
-    def error_y(self):
-        """
-        The 'error_y' property is an instance of ErrorY
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.ErrorY`
-          - A dict of string/value properties that will be passed
-            to the ErrorY constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.ErrorY
-        """
-        return self["error_y"]
-
-    @error_y.setter
-    def error_y(self, val):
-        self["error_y"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the area to fill with a solid color. Defaults to "none"
-        unless this trace is stacked, then it gets "tonexty"
-        ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor`
-        if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0
-        respectively. "tonextx" and "tonexty" fill between the
-        endpoints of this trace and the endpoints of the trace before
-        it, connecting those endpoints with straight lines (to make a
-        stacked area graph); if there is no trace before it, they
-        behave like "tozerox" and "tozeroy". "toself" connects the
-        endpoints of the trace (or each segment of the trace if it has
-        gaps) into a closed shape. "tonext" fills the space between two
-        traces if one completely encloses the other (eg consecutive
-        contour lines), and behaves like "toself" if there is no trace
-        before it. "tonext" should not be used if one trace does not
-        enclose the other. Traces in a `stackgroup` will only fill to
-        (or be filled to) other traces in the same group. With multiple
-        `stackgroup`s or some traces stacked and some not, if fill-
-        linked traces are not already consecutive, the later ones will
-        be pushed down in the drawing order.
-    
-        The 'fill' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx',
-                'toself', 'tonext']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # groupnorm
-    # ---------
-    @property
-    def groupnorm(self):
-        """
-        Only relevant when `stackgroup` is used, and only the first
-        `groupnorm` found in the `stackgroup` will be used - including
-        if `visible` is "legendonly" but not if it is `false`. Sets the
-        normalization for the sum of this `stackgroup`. With
-        "fraction", the value of each trace at each location is divided
-        by the sum of all trace values at that location. "percent" is
-        the same but multiplied by 100 to show percentages. If there
-        are multiple subplots, or multiple `stackgroup`s on one
-        subplot, each will be normalized within its own set.
-    
-        The 'groupnorm' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['', 'fraction', 'percent']
-
-        Returns
-        -------
-        Any
-        """
-        return self["groupnorm"]
-
-    @groupnorm.setter
-    def groupnorm(self, val):
-        self["groupnorm"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Do the hover effects highlight individual points (markers or
-        line points) or do they highlight filled regions? If the fill
-        is "toself" or "tonext" and there are no markers or text, then
-        the default is "fills", otherwise it is "points".
-    
-        The 'hoveron' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['points', 'fills'] joined with '+' characters
-            (e.g. 'points+fills')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                shape
-                    Determines the line shape. With "spline" the
-                    lines are drawn using spline interpolation. The
-                    other available values correspond to step-wise
-                    line shapes.
-                simplify
-                    Simplifies lines by removing nearly-collinear
-                    points. When transitioning lines, it may be
-                    desirable to disable this so that the number of
-                    points along the resulting SVG path is
-                    unaffected.
-                smoothing
-                    Has an effect only if `shape` is set to
-                    "spline" Sets the amount of smoothing. 0
-                    corresponds to no smoothing (equivalent to a
-                    "linear" shape).
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.scatter.marker.Col
-                    orBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                gradient
-                    :class:`plotly.graph_objects.scatter.marker.Gra
-                    dient` instance or dict with compatible
-                    properties
-                line
-                    :class:`plotly.graph_objects.scatter.marker.Lin
-                    e` instance or dict with compatible properties
-                maxdisplayed
-                    Sets a maximum number of points to be drawn on
-                    the graph. 0 corresponds to no limit.
-                opacity
-                    Sets the marker opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-                size
-                    Sets the marker size (in px).
-                sizemin
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the minimum size (in px)
-                    of the rendered marker points.
-                sizemode
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the rule for which the
-                    data in `size` is converted to pixels.
-                sizeref
-                    Has an effect only if `marker.size` is set to a
-                    numerical array. Sets the scale factor used to
-                    determine the rendered size of marker points.
-                    Use with `sizemin` and `sizemode`.
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines the drawing mode for this scatter trace. If the
-        provided `mode` includes "text" then the `text` elements appear
-        at the coordinates. Otherwise, the `text` elements appear on
-        hover. If there are less than 20 points and the trace is not
-        stacked then the default is "lines+markers". Otherwise,
-        "lines".
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
-            (e.g. 'lines+markers')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Only relevant when `stackgroup` is used, and only the first
-        `orientation` found in the `stackgroup` will be used -
-        including if `visible` is "legendonly" but not if it is
-        `false`. Sets the stacking direction. With "v" ("h"), the y (x)
-        values of subsequent traces are added. Also affects the default
-        value of `fill`.
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        r coordinates in scatter traces are deprecated!Please switch to
-        the "scatterpolar" trace type.Sets the radial coordinatesfor
-        legacy polar chart only.
-    
-        The 'r' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # rsrc
-    # ----
-    @property
-    def rsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  r .
-    
-        The 'rsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["rsrc"]
-
-    @rsrc.setter
-    def rsrc(self, val):
-        self["rsrc"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatter.selected.M
-                    arker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scatter.selected.T
-                    extfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stackgaps
-    # ---------
-    @property
-    def stackgaps(self):
-        """
-        Only relevant when `stackgroup` is used, and only the first
-        `stackgaps` found in the `stackgroup` will be used - including
-        if `visible` is "legendonly" but not if it is `false`.
-        Determines how we handle locations at which other traces in
-        this group have data but this one does not. With *infer zero*
-        we insert a zero at these locations. With "interpolate" we
-        linearly interpolate between existing values, and extrapolate a
-        constant beyond the existing values.
-    
-        The 'stackgaps' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['infer zero', 'interpolate']
-
-        Returns
-        -------
-        Any
-        """
-        return self["stackgaps"]
-
-    @stackgaps.setter
-    def stackgaps(self, val):
-        self["stackgaps"] = val
-
-    # stackgroup
-    # ----------
-    @property
-    def stackgroup(self):
-        """
-        Set several scatter traces (on the same subplot) to the same
-        stackgroup in order to add their y values (or their x values if
-        `orientation` is "h"). If blank or omitted this trace will not
-        be stacked. Stacking also turns `fill` on by default, using
-        "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets
-        the default `mode` to "lines" irrespective of point count. You
-        can only stack on a numeric (linear or log) axis. Traces in a
-        `stackgroup` will only fill to (or be filled to) other traces
-        in the same group. With multiple `stackgroup`s or some traces
-        stacked and some not, if fill-linked traces are not already
-        consecutive, the later ones will be pushed down in the drawing
-        order.
-    
-        The 'stackgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["stackgroup"]
-
-    @stackgroup.setter
-    def stackgroup(self, val):
-        self["stackgroup"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        t coordinates in scatter traces are deprecated!Please switch to
-        the "scatterpolar" trace type.Sets the angular coordinatesfor
-        legacy polar chart only.
-    
-        The 't' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the text font.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # tsrc
-    # ----
-    @property
-    def tsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  t .
-    
-        The 'tsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tsrc"]
-
-    @tsrc.setter
-    def tsrc(self, val):
-        self["tsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.scatter.unselected
-                    .Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.scatter.unselected
-                    .Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        cliponaxis
-            Determines whether or not markers and text nodes are
-            clipped about the subplot axes. To show markers and
-            text nodes above axis lines and tick labels, make sure
-            to set `xaxis.layer` and `yaxis.layer` to *below
-            traces*.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        error_x
-            :class:`plotly.graph_objects.scatter.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.scatter.ErrorY` instance
-            or dict with compatible properties
-        fill
-            Sets the area to fill with a solid color. Defaults to
-            "none" unless this trace is stacked, then it gets
-            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
-            with `fillcolor` if not "none". "tozerox" and "tozeroy"
-            fill to x=0 and y=0 respectively. "tonextx" and
-            "tonexty" fill between the endpoints of this trace and
-            the endpoints of the trace before it, connecting those
-            endpoints with straight lines (to make a stacked area
-            graph); if there is no trace before it, they behave
-            like "tozerox" and "tozeroy". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other. Traces in a `stackgroup` will only fill to (or
-            be filled to) other traces in the same group. With
-            multiple `stackgroup`s or some traces stacked and some
-            not, if fill-linked traces are not already consecutive,
-            the later ones will be pushed down in the drawing
-            order.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        groupnorm
-            Only relevant when `stackgroup` is used, and only the
-            first `groupnorm` found in the `stackgroup` will be
-            used - including if `visible` is "legendonly" but not
-            if it is `false`. Sets the normalization for the sum of
-            this `stackgroup`. With "fraction", the value of each
-            trace at each location is divided by the sum of all
-            trace values at that location. "percent" is the same
-            but multiplied by 100 to show percentages. If there are
-            multiple subplots, or multiple `stackgroup`s on one
-            subplot, each will be normalized within its own set.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatter.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatter.Line` instance or
-            dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatter.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Only relevant when `stackgroup` is used, and only the
-            first `orientation` found in the `stackgroup` will be
-            used - including if `visible` is "legendonly" but not
-            if it is `false`. Sets the stacking direction. With "v"
-            ("h"), the y (x) values of subsequent traces are added.
-            Also affects the default value of `fill`.
-        r
-            r coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the radial
-            coordinatesfor legacy polar chart only.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.scatter.Selected` instance
-            or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stackgaps
-            Only relevant when `stackgroup` is used, and only the
-            first `stackgaps` found in the `stackgroup` will be
-            used - including if `visible` is "legendonly" but not
-            if it is `false`. Determines how we handle locations at
-            which other traces in this group have data but this one
-            does not. With *infer zero* we insert a zero at these
-            locations. With "interpolate" we linearly interpolate
-            between existing values, and extrapolate a constant
-            beyond the existing values.
-        stackgroup
-            Set several scatter traces (on the same subplot) to the
-            same stackgroup in order to add their y values (or
-            their x values if `orientation` is "h"). If blank or
-            omitted this trace will not be stacked. Stacking also
-            turns `fill` on by default, using "tonexty" ("tonextx")
-            if `orientation` is "h" ("v") and sets the default
-            `mode` to "lines" irrespective of point count. You can
-            only stack on a numeric (linear or log) axis. Traces in
-            a `stackgroup` will only fill to (or be filled to)
-            other traces in the same group. With multiple
-            `stackgroup`s or some traces stacked and some not, if
-            fill-linked traces are not already consecutive, the
-            later ones will be pushed down in the drawing order.
-        stream
-            :class:`plotly.graph_objects.scatter.Stream` instance
-            or dict with compatible properties
-        t
-            t coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the
-            angular coordinatesfor legacy polar chart only.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        tsrc
-            Sets the source reference on Chart Studio Cloud for  t
-            .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatter.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        cliponaxis=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        error_x=None,
-        error_y=None,
-        fill=None,
-        fillcolor=None,
-        groupnorm=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoveron=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        opacity=None,
-        orientation=None,
-        r=None,
-        rsrc=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stackgaps=None,
-        stackgroup=None,
-        stream=None,
-        t=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        tsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ycalendar=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scatter object
-        
-        The scatter trace type encompasses line charts, scatter charts,
-        text charts, and bubble charts. The data visualized as scatter
-        point or lines is set in `x` and `y`. Text (appearing either on
-        the chart or on hover only) is via `text`. Bubble charts are
-        achieved by setting `marker.size` and/or `marker.color` to
-        numerical arrays.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Scatter`
-        cliponaxis
-            Determines whether or not markers and text nodes are
-            clipped about the subplot axes. To show markers and
-            text nodes above axis lines and tick labels, make sure
-            to set `xaxis.layer` and `yaxis.layer` to *below
-            traces*.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the provided data arrays are connected.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        error_x
-            :class:`plotly.graph_objects.scatter.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.scatter.ErrorY` instance
-            or dict with compatible properties
-        fill
-            Sets the area to fill with a solid color. Defaults to
-            "none" unless this trace is stacked, then it gets
-            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
-            with `fillcolor` if not "none". "tozerox" and "tozeroy"
-            fill to x=0 and y=0 respectively. "tonextx" and
-            "tonexty" fill between the endpoints of this trace and
-            the endpoints of the trace before it, connecting those
-            endpoints with straight lines (to make a stacked area
-            graph); if there is no trace before it, they behave
-            like "tozerox" and "tozeroy". "toself" connects the
-            endpoints of the trace (or each segment of the trace if
-            it has gaps) into a closed shape. "tonext" fills the
-            space between two traces if one completely encloses the
-            other (eg consecutive contour lines), and behaves like
-            "toself" if there is no trace before it. "tonext"
-            should not be used if one trace does not enclose the
-            other. Traces in a `stackgroup` will only fill to (or
-            be filled to) other traces in the same group. With
-            multiple `stackgroup`s or some traces stacked and some
-            not, if fill-linked traces are not already consecutive,
-            the later ones will be pushed down in the drawing
-            order.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        groupnorm
-            Only relevant when `stackgroup` is used, and only the
-            first `groupnorm` found in the `stackgroup` will be
-            used - including if `visible` is "legendonly" but not
-            if it is `false`. Sets the normalization for the sum of
-            this `stackgroup`. With "fraction", the value of each
-            trace at each location is divided by the sum of all
-            trace values at that location. "percent" is the same
-            but multiplied by 100 to show percentages. If there are
-            multiple subplots, or multiple `stackgroup`s on one
-            subplot, each will be normalized within its own set.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.scatter.Hoverlabel`
-            instance or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual points
-            (markers or line points) or do they highlight filled
-            regions? If the fill is "toself" or "tonext" and there
-            are no markers or text, then the default is "fills",
-            otherwise it is "points".
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.scatter.Line` instance or
-            dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.scatter.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines the drawing mode for this scatter trace. If
-            the provided `mode` includes "text" then the `text`
-            elements appear at the coordinates. Otherwise, the
-            `text` elements appear on hover. If there are less than
-            20 points and the trace is not stacked then the default
-            is "lines+markers". Otherwise, "lines".
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Only relevant when `stackgroup` is used, and only the
-            first `orientation` found in the `stackgroup` will be
-            used - including if `visible` is "legendonly" but not
-            if it is `false`. Sets the stacking direction. With "v"
-            ("h"), the y (x) values of subsequent traces are added.
-            Also affects the default value of `fill`.
-        r
-            r coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the radial
-            coordinatesfor legacy polar chart only.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.scatter.Selected` instance
-            or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stackgaps
-            Only relevant when `stackgroup` is used, and only the
-            first `stackgaps` found in the `stackgroup` will be
-            used - including if `visible` is "legendonly" but not
-            if it is `false`. Determines how we handle locations at
-            which other traces in this group have data but this one
-            does not. With *infer zero* we insert a zero at these
-            locations. With "interpolate" we linearly interpolate
-            between existing values, and extrapolate a constant
-            beyond the existing values.
-        stackgroup
-            Set several scatter traces (on the same subplot) to the
-            same stackgroup in order to add their y values (or
-            their x values if `orientation` is "h"). If blank or
-            omitted this trace will not be stacked. Stacking also
-            turns `fill` on by default, using "tonexty" ("tonextx")
-            if `orientation` is "h" ("v") and sets the default
-            `mode` to "lines" irrespective of point count. You can
-            only stack on a numeric (linear or log) axis. Traces in
-            a `stackgroup` will only fill to (or be filled to)
-            other traces in the same group. With multiple
-            `stackgroup`s or some traces stacked and some not, if
-            fill-linked traces are not already consecutive, the
-            later ones will be pushed down in the drawing order.
-        stream
-            :class:`plotly.graph_objects.scatter.Stream` instance
-            or dict with compatible properties
-        t
-            t coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the
-            angular coordinatesfor legacy polar chart only.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textfont
-            Sets the text font.
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        tsrc
-            Sets the source reference on Chart Studio Cloud for  t
-            .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.scatter.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Scatter
-        """
-        super(Scatter, self).__init__("scatter")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Scatter 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Scatter`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import scatter as v_scatter
-
-        # Initialize validators
-        # ---------------------
-        self._validators["cliponaxis"] = v_scatter.CliponaxisValidator()
-        self._validators["connectgaps"] = v_scatter.ConnectgapsValidator()
-        self._validators["customdata"] = v_scatter.CustomdataValidator()
-        self._validators["customdatasrc"] = v_scatter.CustomdatasrcValidator()
-        self._validators["dx"] = v_scatter.DxValidator()
-        self._validators["dy"] = v_scatter.DyValidator()
-        self._validators["error_x"] = v_scatter.ErrorXValidator()
-        self._validators["error_y"] = v_scatter.ErrorYValidator()
-        self._validators["fill"] = v_scatter.FillValidator()
-        self._validators["fillcolor"] = v_scatter.FillcolorValidator()
-        self._validators["groupnorm"] = v_scatter.GroupnormValidator()
-        self._validators["hoverinfo"] = v_scatter.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_scatter.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_scatter.HoverlabelValidator()
-        self._validators["hoveron"] = v_scatter.HoveronValidator()
-        self._validators["hovertemplate"] = v_scatter.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_scatter.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_scatter.HovertextValidator()
-        self._validators["hovertextsrc"] = v_scatter.HovertextsrcValidator()
-        self._validators["ids"] = v_scatter.IdsValidator()
-        self._validators["idssrc"] = v_scatter.IdssrcValidator()
-        self._validators["legendgroup"] = v_scatter.LegendgroupValidator()
-        self._validators["line"] = v_scatter.LineValidator()
-        self._validators["marker"] = v_scatter.MarkerValidator()
-        self._validators["meta"] = v_scatter.MetaValidator()
-        self._validators["metasrc"] = v_scatter.MetasrcValidator()
-        self._validators["mode"] = v_scatter.ModeValidator()
-        self._validators["name"] = v_scatter.NameValidator()
-        self._validators["opacity"] = v_scatter.OpacityValidator()
-        self._validators["orientation"] = v_scatter.OrientationValidator()
-        self._validators["r"] = v_scatter.RValidator()
-        self._validators["rsrc"] = v_scatter.RsrcValidator()
-        self._validators["selected"] = v_scatter.SelectedValidator()
-        self._validators["selectedpoints"] = v_scatter.SelectedpointsValidator()
-        self._validators["showlegend"] = v_scatter.ShowlegendValidator()
-        self._validators["stackgaps"] = v_scatter.StackgapsValidator()
-        self._validators["stackgroup"] = v_scatter.StackgroupValidator()
-        self._validators["stream"] = v_scatter.StreamValidator()
-        self._validators["t"] = v_scatter.TValidator()
-        self._validators["text"] = v_scatter.TextValidator()
-        self._validators["textfont"] = v_scatter.TextfontValidator()
-        self._validators["textposition"] = v_scatter.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_scatter.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_scatter.TextsrcValidator()
-        self._validators["texttemplate"] = v_scatter.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_scatter.TexttemplatesrcValidator()
-        self._validators["tsrc"] = v_scatter.TsrcValidator()
-        self._validators["uid"] = v_scatter.UidValidator()
-        self._validators["uirevision"] = v_scatter.UirevisionValidator()
-        self._validators["unselected"] = v_scatter.UnselectedValidator()
-        self._validators["visible"] = v_scatter.VisibleValidator()
-        self._validators["x"] = v_scatter.XValidator()
-        self._validators["x0"] = v_scatter.X0Validator()
-        self._validators["xaxis"] = v_scatter.XAxisValidator()
-        self._validators["xcalendar"] = v_scatter.XcalendarValidator()
-        self._validators["xsrc"] = v_scatter.XsrcValidator()
-        self._validators["y"] = v_scatter.YValidator()
-        self._validators["y0"] = v_scatter.Y0Validator()
-        self._validators["yaxis"] = v_scatter.YAxisValidator()
-        self._validators["ycalendar"] = v_scatter.YcalendarValidator()
-        self._validators["ysrc"] = v_scatter.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("cliponaxis", None)
-        self["cliponaxis"] = cliponaxis if cliponaxis is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("error_x", None)
-        self["error_x"] = error_x if error_x is not None else _v
-        _v = arg.pop("error_y", None)
-        self["error_y"] = error_y if error_y is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("groupnorm", None)
-        self["groupnorm"] = groupnorm if groupnorm is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("rsrc", None)
-        self["rsrc"] = rsrc if rsrc is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stackgaps", None)
-        self["stackgaps"] = stackgaps if stackgaps is not None else _v
-        _v = arg.pop("stackgroup", None)
-        self["stackgroup"] = stackgroup if stackgroup is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("tsrc", None)
-        self["tsrc"] = tsrc if tsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "scatter"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="scatter", val="scatter"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Sankey(_BaseTraceType):
-
-    # arrangement
-    # -----------
-    @property
-    def arrangement(self):
-        """
-        If value is `snap` (the default), the node arrangement is
-        assisted by automatic snapping of elements to preserve space
-        between nodes specified via `nodepad`. If value is
-        `perpendicular`, the nodes can only move along a line
-        perpendicular to the flow. If value is `freeform`, the nodes
-        can freely move on the plane. If value is `fixed`, the nodes
-        are stationary.
-    
-        The 'arrangement' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['snap', 'perpendicular', 'freeform', 'fixed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["arrangement"]
-
-    @arrangement.setter
-    def arrangement(self, val):
-        self["arrangement"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this sankey trace .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this sankey trace .
-                x
-                    Sets the horizontal domain of this sankey trace
-                    (in plot fraction).
-                y
-                    Sets the vertical domain of this sankey trace
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-        Note that this attribute is superseded by `node.hoverinfo` and
-        `node.hoverinfo` for nodes and links respectively.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of [] joined with '+' characters
-            (e.g. '')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # link
-    # ----
-    @property
-    def link(self):
-        """
-        The links of the Sankey plot.
-    
-        The 'link' property is an instance of Link
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.Link`
-          - A dict of string/value properties that will be passed
-            to the Link constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the `link` color. It can be a single
-                    value, or an array for specifying color for
-                    each `link`. If `link.color` is omitted, then
-                    by default, a translucent grey link will be
-                    used.
-                colorscales
-                    A tuple of :class:`plotly.graph_objects.sankey.
-                    link.Colorscale` instances or dicts with
-                    compatible properties
-                colorscaledefaults
-                    When used in a template (as layout.template.dat
-                    a.sankey.link.colorscaledefaults), sets the
-                    default property values to use for elements of
-                    sankey.link.colorscales
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                customdata
-                    Assigns extra data to each link.
-                customdatasrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  customdata .
-                hoverinfo
-                    Determines which trace information appear when
-                    hovering links. If `none` or `skip` are set, no
-                    information is displayed upon hovering. But, if
-                    `none` is set, click and hover events are still
-                    fired.
-                hoverlabel
-                    :class:`plotly.graph_objects.sankey.link.Hoverl
-                    abel` instance or dict with compatible
-                    properties
-                hovertemplate
-                    Template string used for rendering the
-                    information that appear on hover box. Note that
-                    this will override `hoverinfo`. Variables are
-                    inserted using %{variable}, for example "y:
-                    %{y}". Numbers are formatted using d3-format's
-                    syntax %{variable:d3-format}, for example
-                    "Price: %{y:$.2f}".
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    for details on the formatting syntax. Dates are
-                    formatted using d3-time-format's syntax
-                    %{variable|d3-time-format}, for example "Day:
-                    %{2019-01-01|%A}".
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    for details on the date formatting syntax. The
-                    variables available in `hovertemplate` are the
-                    ones emitted as event data described at this
-                    link https://plotly.com/javascript/plotlyjs-
-                    events/#event-data. Additionally, every
-                    attributes that can be specified per-point (the
-                    ones that are `arrayOk: true`) are available.
-                    variables `value` and `label`. Anything
-                    contained in tag `<extra>` is displayed in the
-                    secondary box, for example
-                    "<extra>{fullData.name}</extra>". To hide the
-                    secondary box completely, use an empty tag
-                    `<extra></extra>`.
-                hovertemplatesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  hovertemplate .
-                label
-                    The shown name of the link.
-                labelsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  label .
-                line
-                    :class:`plotly.graph_objects.sankey.link.Line`
-                    instance or dict with compatible properties
-                source
-                    An integer number `[0..nodes.length - 1]` that
-                    represents the source node.
-                sourcesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  source .
-                target
-                    An integer number `[0..nodes.length - 1]` that
-                    represents the target node.
-                targetsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  target .
-                value
-                    A numeric value representing the flow volume
-                    value.
-                valuesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  value .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.Link
-        """
-        return self["link"]
-
-    @link.setter
-    def link(self, val):
-        self["link"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # node
-    # ----
-    @property
-    def node(self):
-        """
-        The nodes of the Sankey plot.
-    
-        The 'node' property is an instance of Node
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.Node`
-          - A dict of string/value properties that will be passed
-            to the Node constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the `node` color. It can be a single
-                    value, or an array for specifying color for
-                    each `node`. If `node.color` is omitted, then
-                    the default `Plotly` color palette will be
-                    cycled through to have a variety of colors.
-                    These defaults are not fully opaque, to allow
-                    some visibility of what is beneath the node.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                customdata
-                    Assigns extra data to each node.
-                customdatasrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  customdata .
-                groups
-                    Groups of nodes. Each group is defined by an
-                    array with the indices of the nodes it
-                    contains. Multiple groups can be specified.
-                hoverinfo
-                    Determines which trace information appear when
-                    hovering nodes. If `none` or `skip` are set, no
-                    information is displayed upon hovering. But, if
-                    `none` is set, click and hover events are still
-                    fired.
-                hoverlabel
-                    :class:`plotly.graph_objects.sankey.node.Hoverl
-                    abel` instance or dict with compatible
-                    properties
-                hovertemplate
-                    Template string used for rendering the
-                    information that appear on hover box. Note that
-                    this will override `hoverinfo`. Variables are
-                    inserted using %{variable}, for example "y:
-                    %{y}". Numbers are formatted using d3-format's
-                    syntax %{variable:d3-format}, for example
-                    "Price: %{y:$.2f}".
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    for details on the formatting syntax. Dates are
-                    formatted using d3-time-format's syntax
-                    %{variable|d3-time-format}, for example "Day:
-                    %{2019-01-01|%A}".
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    for details on the date formatting syntax. The
-                    variables available in `hovertemplate` are the
-                    ones emitted as event data described at this
-                    link https://plotly.com/javascript/plotlyjs-
-                    events/#event-data. Additionally, every
-                    attributes that can be specified per-point (the
-                    ones that are `arrayOk: true`) are available.
-                    variables `value` and `label`. Anything
-                    contained in tag `<extra>` is displayed in the
-                    secondary box, for example
-                    "<extra>{fullData.name}</extra>". To hide the
-                    secondary box completely, use an empty tag
-                    `<extra></extra>`.
-                hovertemplatesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  hovertemplate .
-                label
-                    The shown name of the node.
-                labelsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  label .
-                line
-                    :class:`plotly.graph_objects.sankey.node.Line`
-                    instance or dict with compatible properties
-                pad
-                    Sets the padding (in px) between the `nodes`.
-                thickness
-                    Sets the thickness (in px) of the `nodes`.
-                x
-                    The normalized horizontal position of the node.
-                xsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  x .
-                y
-                    The normalized vertical position of the node.
-                ysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  y .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.Node
-        """
-        return self["node"]
-
-    @node.setter
-    def node(self, val):
-        self["node"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the Sankey diagram.
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font for node labels
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # valueformat
-    # -----------
-    @property
-    def valueformat(self):
-        """
-        Sets the value formatting rule using d3 formatting mini-
-        language which is similar to those of Python. See
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'valueformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["valueformat"]
-
-    @valueformat.setter
-    def valueformat(self, val):
-        self["valueformat"] = val
-
-    # valuesuffix
-    # -----------
-    @property
-    def valuesuffix(self):
-        """
-        Adds a unit to follow the value in the hover tooltip. Add a
-        space if a separation is necessary from the value.
-    
-        The 'valuesuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["valuesuffix"]
-
-    @valuesuffix.setter
-    def valuesuffix(self, val):
-        self["valuesuffix"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        arrangement
-            If value is `snap` (the default), the node arrangement
-            is assisted by automatic snapping of elements to
-            preserve space between nodes specified via `nodepad`.
-            If value is `perpendicular`, the nodes can only move
-            along a line perpendicular to the flow. If value is
-            `freeform`, the nodes can freely move on the plane. If
-            value is `fixed`, the nodes are stationary.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.sankey.Domain` instance or
-            dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired. Note that this attribute is
-            superseded by `node.hoverinfo` and `node.hoverinfo` for
-            nodes and links respectively.
-        hoverlabel
-            :class:`plotly.graph_objects.sankey.Hoverlabel`
-            instance or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        link
-            The links of the Sankey plot.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        node
-            The nodes of the Sankey plot.
-        orientation
-            Sets the orientation of the Sankey diagram.
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        stream
-            :class:`plotly.graph_objects.sankey.Stream` instance or
-            dict with compatible properties
-        textfont
-            Sets the font for node labels
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        valueformat
-            Sets the value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        valuesuffix
-            Adds a unit to follow the value in the hover tooltip.
-            Add a space if a separation is necessary from the
-            value.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        arrangement=None,
-        customdata=None,
-        customdatasrc=None,
-        domain=None,
-        hoverinfo=None,
-        hoverlabel=None,
-        ids=None,
-        idssrc=None,
-        link=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        node=None,
-        orientation=None,
-        selectedpoints=None,
-        stream=None,
-        textfont=None,
-        uid=None,
-        uirevision=None,
-        valueformat=None,
-        valuesuffix=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Sankey object
-        
-        Sankey plots for network flow data analysis. The nodes are
-        specified in `nodes` and the links between sources and targets
-        in `links`. The colors are set in `nodes[i].color` and
-        `links[i].color`, otherwise defaults are used.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Sankey`
-        arrangement
-            If value is `snap` (the default), the node arrangement
-            is assisted by automatic snapping of elements to
-            preserve space between nodes specified via `nodepad`.
-            If value is `perpendicular`, the nodes can only move
-            along a line perpendicular to the flow. If value is
-            `freeform`, the nodes can freely move on the plane. If
-            value is `fixed`, the nodes are stationary.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        domain
-            :class:`plotly.graph_objects.sankey.Domain` instance or
-            dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired. Note that this attribute is
-            superseded by `node.hoverinfo` and `node.hoverinfo` for
-            nodes and links respectively.
-        hoverlabel
-            :class:`plotly.graph_objects.sankey.Hoverlabel`
-            instance or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        link
-            The links of the Sankey plot.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        node
-            The nodes of the Sankey plot.
-        orientation
-            Sets the orientation of the Sankey diagram.
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        stream
-            :class:`plotly.graph_objects.sankey.Stream` instance or
-            dict with compatible properties
-        textfont
-            Sets the font for node labels
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        valueformat
-            Sets the value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        valuesuffix
-            Adds a unit to follow the value in the hover tooltip.
-            Add a space if a separation is necessary from the
-            value.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Sankey
-        """
-        super(Sankey, self).__init__("sankey")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Sankey 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Sankey`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import sankey as v_sankey
-
-        # Initialize validators
-        # ---------------------
-        self._validators["arrangement"] = v_sankey.ArrangementValidator()
-        self._validators["customdata"] = v_sankey.CustomdataValidator()
-        self._validators["customdatasrc"] = v_sankey.CustomdatasrcValidator()
-        self._validators["domain"] = v_sankey.DomainValidator()
-        self._validators["hoverinfo"] = v_sankey.HoverinfoValidator()
-        self._validators["hoverlabel"] = v_sankey.HoverlabelValidator()
-        self._validators["ids"] = v_sankey.IdsValidator()
-        self._validators["idssrc"] = v_sankey.IdssrcValidator()
-        self._validators["link"] = v_sankey.LinkValidator()
-        self._validators["meta"] = v_sankey.MetaValidator()
-        self._validators["metasrc"] = v_sankey.MetasrcValidator()
-        self._validators["name"] = v_sankey.NameValidator()
-        self._validators["node"] = v_sankey.NodeValidator()
-        self._validators["orientation"] = v_sankey.OrientationValidator()
-        self._validators["selectedpoints"] = v_sankey.SelectedpointsValidator()
-        self._validators["stream"] = v_sankey.StreamValidator()
-        self._validators["textfont"] = v_sankey.TextfontValidator()
-        self._validators["uid"] = v_sankey.UidValidator()
-        self._validators["uirevision"] = v_sankey.UirevisionValidator()
-        self._validators["valueformat"] = v_sankey.ValueformatValidator()
-        self._validators["valuesuffix"] = v_sankey.ValuesuffixValidator()
-        self._validators["visible"] = v_sankey.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("arrangement", None)
-        self["arrangement"] = arrangement if arrangement is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("link", None)
-        self["link"] = link if link is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("node", None)
-        self["node"] = node if node is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("valueformat", None)
-        self["valueformat"] = valueformat if valueformat is not None else _v
-        _v = arg.pop("valuesuffix", None)
-        self["valuesuffix"] = valuesuffix if valuesuffix is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "sankey"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="sankey", val="sankey"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Pointcloud(_BaseTraceType):
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pointcloud.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.pointcloud.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # indices
-    # -------
-    @property
-    def indices(self):
-        """
-        A sequential value, 0..n, supply it to avoid creating this
-        array inside plotting. If specified, it must be a typed
-        `Int32Array` array. Its length must be equal to or greater than
-        the number of points. For the best performance and memory use,
-        create one large `indices` typed array that is guaranteed to be
-        at least as long as the largest number of points during use,
-        and reuse it on each `Plotly.restyle()` call.
-    
-        The 'indices' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["indices"]
-
-    @indices.setter
-    def indices(self, val):
-        self["indices"] = val
-
-    # indicessrc
-    # ----------
-    @property
-    def indicessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  indices .
-    
-        The 'indicessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["indicessrc"]
-
-    @indicessrc.setter
-    def indicessrc(self, val):
-        self["indicessrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pointcloud.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                blend
-                    Determines if colors are blended together for a
-                    translucency effect in case `opacity` is
-                    specified as a value less then `1`. Setting
-                    `blend` to `true` reduces zoom/pan speed if
-                    used with large numbers of points.
-                border
-                    :class:`plotly.graph_objects.pointcloud.marker.
-                    Border` instance or dict with compatible
-                    properties
-                color
-                    Sets the marker fill color. It accepts a
-                    specific color.If the color is not fully opaque
-                    and there are hundreds of thousandsof points,
-                    it may cause slower zooming and panning.
-                opacity
-                    Sets the marker opacity. The default value is
-                    `1` (fully opaque). If the markers are not
-                    fully opaque and there are hundreds of
-                    thousands of points, it may cause slower
-                    zooming and panning. Opacity fades the color
-                    even if `blend` is left on `false` even if
-                    there is no translucency effect in that case.
-                sizemax
-                    Sets the maximum size (in px) of the rendered
-                    marker points. Effective when the `pointcloud`
-                    shows only few points.
-                sizemin
-                    Sets the minimum size (in px) of the rendered
-                    marker points, effective when the `pointcloud`
-                    shows a million or more points.
-
-        Returns
-        -------
-        plotly.graph_objs.pointcloud.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pointcloud.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.pointcloud.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xbounds
-    # -------
-    @property
-    def xbounds(self):
-        """
-        Specify `xbounds` in the shape of `[xMin, xMax] to avoid
-        looping through the `xy` typed array. Use it in conjunction
-        with `xy` and `ybounds` for the performance benefits.
-    
-        The 'xbounds' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["xbounds"]
-
-    @xbounds.setter
-    def xbounds(self, val):
-        self["xbounds"] = val
-
-    # xboundssrc
-    # ----------
-    @property
-    def xboundssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  xbounds .
-    
-        The 'xboundssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xboundssrc"]
-
-    @xboundssrc.setter
-    def xboundssrc(self, val):
-        self["xboundssrc"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # xy
-    # --
-    @property
-    def xy(self):
-        """
-        Faster alternative to specifying `x` and `y` separately. If
-        supplied, it must be a typed `Float32Array` array that
-        represents points such that `xy[i * 2] = x[i]` and `xy[i * 2 +
-        1] = y[i]`
-    
-        The 'xy' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["xy"]
-
-    @xy.setter
-    def xy(self, val):
-        self["xy"] = val
-
-    # xysrc
-    # -----
-    @property
-    def xysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  xy .
-    
-        The 'xysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xysrc"]
-
-    @xysrc.setter
-    def xysrc(self, val):
-        self["xysrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ybounds
-    # -------
-    @property
-    def ybounds(self):
-        """
-        Specify `ybounds` in the shape of `[yMin, yMax] to avoid
-        looping through the `xy` typed array. Use it in conjunction
-        with `xy` and `xbounds` for the performance benefits.
-    
-        The 'ybounds' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ybounds"]
-
-    @ybounds.setter
-    def ybounds(self, val):
-        self["ybounds"] = val
-
-    # yboundssrc
-    # ----------
-    @property
-    def yboundssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ybounds .
-    
-        The 'yboundssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["yboundssrc"]
-
-    @yboundssrc.setter
-    def yboundssrc(self, val):
-        self["yboundssrc"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.pointcloud.Hoverlabel`
-            instance or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        indices
-            A sequential value, 0..n, supply it to avoid creating
-            this array inside plotting. If specified, it must be a
-            typed `Int32Array` array. Its length must be equal to
-            or greater than the number of points. For the best
-            performance and memory use, create one large `indices`
-            typed array that is guaranteed to be at least as long
-            as the largest number of points during use, and reuse
-            it on each `Plotly.restyle()` call.
-        indicessrc
-            Sets the source reference on Chart Studio Cloud for
-            indices .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.pointcloud.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.pointcloud.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbounds
-            Specify `xbounds` in the shape of `[xMin, xMax] to
-            avoid looping through the `xy` typed array. Use it in
-            conjunction with `xy` and `ybounds` for the performance
-            benefits.
-        xboundssrc
-            Sets the source reference on Chart Studio Cloud for
-            xbounds .
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xy
-            Faster alternative to specifying `x` and `y`
-            separately. If supplied, it must be a typed
-            `Float32Array` array that represents points such that
-            `xy[i * 2] = x[i]` and `xy[i * 2 + 1] = y[i]`
-        xysrc
-            Sets the source reference on Chart Studio Cloud for  xy
-            .
-        y
-            Sets the y coordinates.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybounds
-            Specify `ybounds` in the shape of `[yMin, yMax] to
-            avoid looping through the `xy` typed array. Use it in
-            conjunction with `xy` and `xbounds` for the performance
-            benefits.
-        yboundssrc
-            Sets the source reference on Chart Studio Cloud for
-            ybounds .
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        customdata=None,
-        customdatasrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        ids=None,
-        idssrc=None,
-        indices=None,
-        indicessrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xaxis=None,
-        xbounds=None,
-        xboundssrc=None,
-        xsrc=None,
-        xy=None,
-        xysrc=None,
-        y=None,
-        yaxis=None,
-        ybounds=None,
-        yboundssrc=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Pointcloud object
-        
-        The data visualized as a point cloud set in `x` and `y` using
-        the WebGl plotting engine.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Pointcloud`
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.pointcloud.Hoverlabel`
-            instance or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        indices
-            A sequential value, 0..n, supply it to avoid creating
-            this array inside plotting. If specified, it must be a
-            typed `Int32Array` array. Its length must be equal to
-            or greater than the number of points. For the best
-            performance and memory use, create one large `indices`
-            typed array that is guaranteed to be at least as long
-            as the largest number of points during use, and reuse
-            it on each `Plotly.restyle()` call.
-        indicessrc
-            Sets the source reference on Chart Studio Cloud for
-            indices .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.pointcloud.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.pointcloud.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbounds
-            Specify `xbounds` in the shape of `[xMin, xMax] to
-            avoid looping through the `xy` typed array. Use it in
-            conjunction with `xy` and `ybounds` for the performance
-            benefits.
-        xboundssrc
-            Sets the source reference on Chart Studio Cloud for
-            xbounds .
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xy
-            Faster alternative to specifying `x` and `y`
-            separately. If supplied, it must be a typed
-            `Float32Array` array that represents points such that
-            `xy[i * 2] = x[i]` and `xy[i * 2 + 1] = y[i]`
-        xysrc
-            Sets the source reference on Chart Studio Cloud for  xy
-            .
-        y
-            Sets the y coordinates.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybounds
-            Specify `ybounds` in the shape of `[yMin, yMax] to
-            avoid looping through the `xy` typed array. Use it in
-            conjunction with `xy` and `xbounds` for the performance
-            benefits.
-        yboundssrc
-            Sets the source reference on Chart Studio Cloud for
-            ybounds .
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Pointcloud
-        """
-        super(Pointcloud, self).__init__("pointcloud")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Pointcloud 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Pointcloud`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import pointcloud as v_pointcloud
-
-        # Initialize validators
-        # ---------------------
-        self._validators["customdata"] = v_pointcloud.CustomdataValidator()
-        self._validators["customdatasrc"] = v_pointcloud.CustomdatasrcValidator()
-        self._validators["hoverinfo"] = v_pointcloud.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_pointcloud.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_pointcloud.HoverlabelValidator()
-        self._validators["ids"] = v_pointcloud.IdsValidator()
-        self._validators["idssrc"] = v_pointcloud.IdssrcValidator()
-        self._validators["indices"] = v_pointcloud.IndicesValidator()
-        self._validators["indicessrc"] = v_pointcloud.IndicessrcValidator()
-        self._validators["legendgroup"] = v_pointcloud.LegendgroupValidator()
-        self._validators["marker"] = v_pointcloud.MarkerValidator()
-        self._validators["meta"] = v_pointcloud.MetaValidator()
-        self._validators["metasrc"] = v_pointcloud.MetasrcValidator()
-        self._validators["name"] = v_pointcloud.NameValidator()
-        self._validators["opacity"] = v_pointcloud.OpacityValidator()
-        self._validators["showlegend"] = v_pointcloud.ShowlegendValidator()
-        self._validators["stream"] = v_pointcloud.StreamValidator()
-        self._validators["text"] = v_pointcloud.TextValidator()
-        self._validators["textsrc"] = v_pointcloud.TextsrcValidator()
-        self._validators["uid"] = v_pointcloud.UidValidator()
-        self._validators["uirevision"] = v_pointcloud.UirevisionValidator()
-        self._validators["visible"] = v_pointcloud.VisibleValidator()
-        self._validators["x"] = v_pointcloud.XValidator()
-        self._validators["xaxis"] = v_pointcloud.XAxisValidator()
-        self._validators["xbounds"] = v_pointcloud.XboundsValidator()
-        self._validators["xboundssrc"] = v_pointcloud.XboundssrcValidator()
-        self._validators["xsrc"] = v_pointcloud.XsrcValidator()
-        self._validators["xy"] = v_pointcloud.XyValidator()
-        self._validators["xysrc"] = v_pointcloud.XysrcValidator()
-        self._validators["y"] = v_pointcloud.YValidator()
-        self._validators["yaxis"] = v_pointcloud.YAxisValidator()
-        self._validators["ybounds"] = v_pointcloud.YboundsValidator()
-        self._validators["yboundssrc"] = v_pointcloud.YboundssrcValidator()
-        self._validators["ysrc"] = v_pointcloud.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("indices", None)
-        self["indices"] = indices if indices is not None else _v
-        _v = arg.pop("indicessrc", None)
-        self["indicessrc"] = indicessrc if indicessrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xbounds", None)
-        self["xbounds"] = xbounds if xbounds is not None else _v
-        _v = arg.pop("xboundssrc", None)
-        self["xboundssrc"] = xboundssrc if xboundssrc is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("xy", None)
-        self["xy"] = xy if xy is not None else _v
-        _v = arg.pop("xysrc", None)
-        self["xysrc"] = xysrc if xysrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ybounds", None)
-        self["ybounds"] = ybounds if ybounds is not None else _v
-        _v = arg.pop("yboundssrc", None)
-        self["yboundssrc"] = yboundssrc if yboundssrc is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "pointcloud"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="pointcloud", val="pointcloud"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Pie(_BaseTraceType):
-
-    # automargin
-    # ----------
-    @property
-    def automargin(self):
-        """
-        Determines whether outside text labels can push the margins.
-    
-        The 'automargin' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["automargin"]
-
-    @automargin.setter
-    def automargin(self, val):
-        self["automargin"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # direction
-    # ---------
-    @property
-    def direction(self):
-        """
-        Specifies the direction at which succeeding sectors follow one
-        another.
-    
-        The 'direction' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['clockwise', 'counterclockwise']
-
-        Returns
-        -------
-        Any
-        """
-        return self["direction"]
-
-    @direction.setter
-    def direction(self, val):
-        self["direction"] = val
-
-    # dlabel
-    # ------
-    @property
-    def dlabel(self):
-        """
-        Sets the label step. See `label0` for more info.
-    
-        The 'dlabel' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dlabel"]
-
-    @dlabel.setter
-    def dlabel(self, val):
-        self["dlabel"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this pie trace .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this pie trace .
-                x
-                    Sets the horizontal domain of this pie trace
-                    (in plot fraction).
-                y
-                    Sets the vertical domain of this pie trace (in
-                    plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # hole
-    # ----
-    @property
-    def hole(self):
-        """
-        Sets the fraction of the radius to cut out of the pie. Use this
-        to make a donut chart.
-    
-        The 'hole' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["hole"]
-
-    @hole.setter
-    def hole(self, val):
-        self["hole"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'percent', 'name'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `label`, `color`, `value`, `percent` and `text`.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each sector. If a
-        single string, the same string appears for all data points. If
-        an array of string, the items are mapped in order of this
-        trace's sectors. To be seen, trace `hoverinfo` must contain a
-        "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying inside the sector.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # insidetextorientation
-    # ---------------------
-    @property
-    def insidetextorientation(self):
-        """
-        Controls the orientation of the text inside chart sectors. When
-        set to "auto", text may be oriented in any direction in order
-        to be as big as possible in the middle of a sector. The
-        "horizontal" option orients text to be parallel with the bottom
-        of the chart, and may make text smaller in order to achieve
-        that goal. The "radial" option orients text along the radius of
-        the sector. The "tangential" option orients text perpendicular
-        to the radius of the sector.
-    
-        The 'insidetextorientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['horizontal', 'radial', 'tangential', 'auto']
-
-        Returns
-        -------
-        Any
-        """
-        return self["insidetextorientation"]
-
-    @insidetextorientation.setter
-    def insidetextorientation(self, val):
-        self["insidetextorientation"] = val
-
-    # label0
-    # ------
-    @property
-    def label0(self):
-        """
-        Alternate to `labels`. Builds a numeric set of labels. Use with
-        `dlabel` where `label0` is the starting label and `dlabel` the
-        step.
-    
-        The 'label0' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["label0"]
-
-    @label0.setter
-    def label0(self, val):
-        self["label0"] = val
-
-    # labels
-    # ------
-    @property
-    def labels(self):
-        """
-        Sets the sector labels. If `labels` entries are duplicated, we
-        sum associated `values` or simply count occurrences if `values`
-        is not provided. For other array attributes (including color)
-        we use the first non-empty entry among all occurrences of the
-        label.
-    
-        The 'labels' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["labels"]
-
-    @labels.setter
-    def labels(self, val):
-        self["labels"] = val
-
-    # labelssrc
-    # ---------
-    @property
-    def labelssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  labels .
-    
-        The 'labelssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["labelssrc"]
-
-    @labelssrc.setter
-    def labelssrc(self, val):
-        self["labelssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                colors
-                    Sets the color of each sector. If not
-                    specified, the default trace color set is used
-                    to pick the sector colors.
-                colorssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  colors .
-                line
-                    :class:`plotly.graph_objects.pie.marker.Line`
-                    instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # outsidetextfont
-    # ---------------
-    @property
-    def outsidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying outside the sector.
-    
-        The 'outsidetextfont' property is an instance of Outsidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Outsidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Outsidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Outsidetextfont
-        """
-        return self["outsidetextfont"]
-
-    @outsidetextfont.setter
-    def outsidetextfont(self, val):
-        self["outsidetextfont"] = val
-
-    # pull
-    # ----
-    @property
-    def pull(self):
-        """
-        Sets the fraction of larger radius to pull the sectors out from
-        the center. This can be a constant to pull all slices apart
-        from each other equally or an array to highlight one or more
-        slices.
-    
-        The 'pull' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["pull"]
-
-    @pull.setter
-    def pull(self, val):
-        self["pull"] = val
-
-    # pullsrc
-    # -------
-    @property
-    def pullsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  pull .
-    
-        The 'pullsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["pullsrc"]
-
-    @pullsrc.setter
-    def pullsrc(self, val):
-        self["pullsrc"] = val
-
-    # rotation
-    # --------
-    @property
-    def rotation(self):
-        """
-        Instead of the first slice starting at 12 o'clock, rotate to
-        some other angle.
-    
-        The 'rotation' property is a number and may be specified as:
-          - An int or float in the interval [-360, 360]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["rotation"]
-
-    @rotation.setter
-    def rotation(self, val):
-        self["rotation"] = val
-
-    # scalegroup
-    # ----------
-    @property
-    def scalegroup(self):
-        """
-        If there are multiple pie charts that should be sized according
-        to their totals, link them by providing a non-empty group id
-        here shared by every trace in the same group.
-    
-        The 'scalegroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["scalegroup"]
-
-    @scalegroup.setter
-    def scalegroup(self, val):
-        self["scalegroup"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # sort
-    # ----
-    @property
-    def sort(self):
-        """
-        Determines whether or not the sectors are reordered from
-        largest to smallest.
-    
-        The 'sort' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["sort"]
-
-    @sort.setter
-    def sort(self, val):
-        self["sort"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each sector. If trace
-        `textinfo` contains a "text" flag, these elements will be seen
-        on the chart. If trace `hoverinfo` contains a "text" flag and
-        "hovertext" is not set, these elements will be seen in the
-        hover labels.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `textinfo`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textinfo
-    # --------
-    @property
-    def textinfo(self):
-        """
-        Determines which trace information appear on the graph.
-    
-        The 'textinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'percent'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["textinfo"]
-
-    @textinfo.setter
-    def textinfo(self, val):
-        self["textinfo"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Specifies the location of the `textinfo`.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'auto', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `label`, `color`, `value`, `percent` and
-        `text`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets the font used for `title`. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                position
-                    Specifies the location of the `title`. Note
-                    that the title's position used to be set by the
-                    now deprecated `titleposition` attribute.
-                text
-                    Sets the title of the chart. If it is empty, no
-                    title is displayed. Note that before the
-                    existence of `title.text`, the title's contents
-                    used to be defined as the `title` attribute
-                    itself. This behavior has been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.pie.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use pie.title.font instead. Sets the font
-        used for `title`. Note that the title's font used to be set by
-        the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleposition
-    # -------------
-    @property
-    def titleposition(self):
-        """
-        Deprecated: Please use pie.title.position instead. Specifies
-        the location of the `title`. Note that the title's position
-        used to be set by the now deprecated `titleposition` attribute.
-    
-        The 'position' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle center',
-                'bottom left', 'bottom center', 'bottom right']
-
-        Returns
-        -------
-        
-        """
-        return self["titleposition"]
-
-    @titleposition.setter
-    def titleposition(self, val):
-        self["titleposition"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the values of the sectors. If omitted, we count
-        occurrences of each label.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        automargin
-            Determines whether outside text labels can push the
-            margins.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        direction
-            Specifies the direction at which succeeding sectors
-            follow one another.
-        dlabel
-            Sets the label step. See `label0` for more info.
-        domain
-            :class:`plotly.graph_objects.pie.Domain` instance or
-            dict with compatible properties
-        hole
-            Sets the fraction of the radius to cut out of the pie.
-            Use this to make a donut chart.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.pie.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `label`, `color`, `value`,
-            `percent` and `text`. Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        insidetextorientation
-            Controls the orientation of the text inside chart
-            sectors. When set to "auto", text may be oriented in
-            any direction in order to be as big as possible in the
-            middle of a sector. The "horizontal" option orients
-            text to be parallel with the bottom of the chart, and
-            may make text smaller in order to achieve that goal.
-            The "radial" option orients text along the radius of
-            the sector. The "tangential" option orients text
-            perpendicular to the radius of the sector.
-        label0
-            Alternate to `labels`. Builds a numeric set of labels.
-            Use with `dlabel` where `label0` is the starting label
-            and `dlabel` the step.
-        labels
-            Sets the sector labels. If `labels` entries are
-            duplicated, we sum associated `values` or simply count
-            occurrences if `values` is not provided. For other
-            array attributes (including color) we use the first
-            non-empty entry among all occurrences of the label.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.pie.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        outsidetextfont
-            Sets the font used for `textinfo` lying outside the
-            sector.
-        pull
-            Sets the fraction of larger radius to pull the sectors
-            out from the center. This can be a constant to pull all
-            slices apart from each other equally or an array to
-            highlight one or more slices.
-        pullsrc
-            Sets the source reference on Chart Studio Cloud for
-            pull .
-        rotation
-            Instead of the first slice starting at 12 o'clock,
-            rotate to some other angle.
-        scalegroup
-            If there are multiple pie charts that should be sized
-            according to their totals, link them by providing a
-            non-empty group id here shared by every trace in the
-            same group.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        sort
-            Determines whether or not the sectors are reordered
-            from largest to smallest.
-        stream
-            :class:`plotly.graph_objects.pie.Stream` instance or
-            dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textposition
-            Specifies the location of the `textinfo`.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `label`,
-            `color`, `value`, `percent` and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        title
-            :class:`plotly.graph_objects.pie.Title` instance or
-            dict with compatible properties
-        titlefont
-            Deprecated: Please use pie.title.font instead. Sets the
-            font used for `title`. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleposition
-            Deprecated: Please use pie.title.position instead.
-            Specifies the location of the `title`. Note that the
-            title's position used to be set by the now deprecated
-            `titleposition` attribute.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values of the sectors. If omitted, we count
-            occurrences of each label.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleposition": ("title", "position"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        automargin=None,
-        customdata=None,
-        customdatasrc=None,
-        direction=None,
-        dlabel=None,
-        domain=None,
-        hole=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        insidetextfont=None,
-        insidetextorientation=None,
-        label0=None,
-        labels=None,
-        labelssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        outsidetextfont=None,
-        pull=None,
-        pullsrc=None,
-        rotation=None,
-        scalegroup=None,
-        showlegend=None,
-        sort=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textinfo=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        title=None,
-        titlefont=None,
-        titleposition=None,
-        uid=None,
-        uirevision=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Pie object
-        
-        A data visualized by the sectors of the pie is set in `values`.
-        The sector labels are set in `labels`. The sector colors are
-        set in `marker.colors`
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Pie`
-        automargin
-            Determines whether outside text labels can push the
-            margins.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        direction
-            Specifies the direction at which succeeding sectors
-            follow one another.
-        dlabel
-            Sets the label step. See `label0` for more info.
-        domain
-            :class:`plotly.graph_objects.pie.Domain` instance or
-            dict with compatible properties
-        hole
-            Sets the fraction of the radius to cut out of the pie.
-            Use this to make a donut chart.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.pie.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `label`, `color`, `value`,
-            `percent` and `text`. Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        insidetextorientation
-            Controls the orientation of the text inside chart
-            sectors. When set to "auto", text may be oriented in
-            any direction in order to be as big as possible in the
-            middle of a sector. The "horizontal" option orients
-            text to be parallel with the bottom of the chart, and
-            may make text smaller in order to achieve that goal.
-            The "radial" option orients text along the radius of
-            the sector. The "tangential" option orients text
-            perpendicular to the radius of the sector.
-        label0
-            Alternate to `labels`. Builds a numeric set of labels.
-            Use with `dlabel` where `label0` is the starting label
-            and `dlabel` the step.
-        labels
-            Sets the sector labels. If `labels` entries are
-            duplicated, we sum associated `values` or simply count
-            occurrences if `values` is not provided. For other
-            array attributes (including color) we use the first
-            non-empty entry among all occurrences of the label.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.pie.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        outsidetextfont
-            Sets the font used for `textinfo` lying outside the
-            sector.
-        pull
-            Sets the fraction of larger radius to pull the sectors
-            out from the center. This can be a constant to pull all
-            slices apart from each other equally or an array to
-            highlight one or more slices.
-        pullsrc
-            Sets the source reference on Chart Studio Cloud for
-            pull .
-        rotation
-            Instead of the first slice starting at 12 o'clock,
-            rotate to some other angle.
-        scalegroup
-            If there are multiple pie charts that should be sized
-            according to their totals, link them by providing a
-            non-empty group id here shared by every trace in the
-            same group.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        sort
-            Determines whether or not the sectors are reordered
-            from largest to smallest.
-        stream
-            :class:`plotly.graph_objects.pie.Stream` instance or
-            dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textposition
-            Specifies the location of the `textinfo`.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `label`,
-            `color`, `value`, `percent` and `text`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        title
-            :class:`plotly.graph_objects.pie.Title` instance or
-            dict with compatible properties
-        titlefont
-            Deprecated: Please use pie.title.font instead. Sets the
-            font used for `title`. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleposition
-            Deprecated: Please use pie.title.position instead.
-            Specifies the location of the `title`. Note that the
-            title's position used to be set by the now deprecated
-            `titleposition` attribute.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values of the sectors. If omitted, we count
-            occurrences of each label.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Pie
-        """
-        super(Pie, self).__init__("pie")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Pie 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Pie`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import pie as v_pie
-
-        # Initialize validators
-        # ---------------------
-        self._validators["automargin"] = v_pie.AutomarginValidator()
-        self._validators["customdata"] = v_pie.CustomdataValidator()
-        self._validators["customdatasrc"] = v_pie.CustomdatasrcValidator()
-        self._validators["direction"] = v_pie.DirectionValidator()
-        self._validators["dlabel"] = v_pie.DlabelValidator()
-        self._validators["domain"] = v_pie.DomainValidator()
-        self._validators["hole"] = v_pie.HoleValidator()
-        self._validators["hoverinfo"] = v_pie.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_pie.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_pie.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_pie.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_pie.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_pie.HovertextValidator()
-        self._validators["hovertextsrc"] = v_pie.HovertextsrcValidator()
-        self._validators["ids"] = v_pie.IdsValidator()
-        self._validators["idssrc"] = v_pie.IdssrcValidator()
-        self._validators["insidetextfont"] = v_pie.InsidetextfontValidator()
-        self._validators[
-            "insidetextorientation"
-        ] = v_pie.InsidetextorientationValidator()
-        self._validators["label0"] = v_pie.Label0Validator()
-        self._validators["labels"] = v_pie.LabelsValidator()
-        self._validators["labelssrc"] = v_pie.LabelssrcValidator()
-        self._validators["legendgroup"] = v_pie.LegendgroupValidator()
-        self._validators["marker"] = v_pie.MarkerValidator()
-        self._validators["meta"] = v_pie.MetaValidator()
-        self._validators["metasrc"] = v_pie.MetasrcValidator()
-        self._validators["name"] = v_pie.NameValidator()
-        self._validators["opacity"] = v_pie.OpacityValidator()
-        self._validators["outsidetextfont"] = v_pie.OutsidetextfontValidator()
-        self._validators["pull"] = v_pie.PullValidator()
-        self._validators["pullsrc"] = v_pie.PullsrcValidator()
-        self._validators["rotation"] = v_pie.RotationValidator()
-        self._validators["scalegroup"] = v_pie.ScalegroupValidator()
-        self._validators["showlegend"] = v_pie.ShowlegendValidator()
-        self._validators["sort"] = v_pie.SortValidator()
-        self._validators["stream"] = v_pie.StreamValidator()
-        self._validators["text"] = v_pie.TextValidator()
-        self._validators["textfont"] = v_pie.TextfontValidator()
-        self._validators["textinfo"] = v_pie.TextinfoValidator()
-        self._validators["textposition"] = v_pie.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_pie.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_pie.TextsrcValidator()
-        self._validators["texttemplate"] = v_pie.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_pie.TexttemplatesrcValidator()
-        self._validators["title"] = v_pie.TitleValidator()
-        self._validators["uid"] = v_pie.UidValidator()
-        self._validators["uirevision"] = v_pie.UirevisionValidator()
-        self._validators["values"] = v_pie.ValuesValidator()
-        self._validators["valuessrc"] = v_pie.ValuessrcValidator()
-        self._validators["visible"] = v_pie.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("automargin", None)
-        self["automargin"] = automargin if automargin is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("direction", None)
-        self["direction"] = direction if direction is not None else _v
-        _v = arg.pop("dlabel", None)
-        self["dlabel"] = dlabel if dlabel is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("hole", None)
-        self["hole"] = hole if hole is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("insidetextorientation", None)
-        self["insidetextorientation"] = (
-            insidetextorientation if insidetextorientation is not None else _v
-        )
-        _v = arg.pop("label0", None)
-        self["label0"] = label0 if label0 is not None else _v
-        _v = arg.pop("labels", None)
-        self["labels"] = labels if labels is not None else _v
-        _v = arg.pop("labelssrc", None)
-        self["labelssrc"] = labelssrc if labelssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("outsidetextfont", None)
-        self["outsidetextfont"] = outsidetextfont if outsidetextfont is not None else _v
-        _v = arg.pop("pull", None)
-        self["pull"] = pull if pull is not None else _v
-        _v = arg.pop("pullsrc", None)
-        self["pullsrc"] = pullsrc if pullsrc is not None else _v
-        _v = arg.pop("rotation", None)
-        self["rotation"] = rotation if rotation is not None else _v
-        _v = arg.pop("scalegroup", None)
-        self["scalegroup"] = scalegroup if scalegroup is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("sort", None)
-        self["sort"] = sort if sort is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textinfo", None)
-        self["textinfo"] = textinfo if textinfo is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleposition", None)
-        _v = titleposition if titleposition is not None else _v
-        if _v is not None:
-            self["titleposition"] = _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "pie"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="pie", val="pie"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Parcoords(_BaseTraceType):
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dimensions
-    # ----------
-    @property
-    def dimensions(self):
-        """
-        The dimensions (variables) of the parallel coordinates chart.
-        2..60 dimensions are supported.
-    
-        The 'dimensions' property is a tuple of instances of
-        Dimension that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.parcoords.Dimension
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Dimension constructor
-    
-            Supported dict properties:
-                
-                constraintrange
-                    The domain range to which the filter on the
-                    dimension is constrained. Must be an array of
-                    `[fromValue, toValue]` with `fromValue <=
-                    toValue`, or if `multiselect` is not disabled,
-                    you may give an array of arrays, where each
-                    inner array is `[fromValue, toValue]`.
-                label
-                    The shown name of the dimension.
-                multiselect
-                    Do we allow multiple selection ranges or just a
-                    single range?
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                range
-                    The domain range that represents the full,
-                    shown axis extent. Defaults to the `values`
-                    extent. Must be an array of `[fromValue,
-                    toValue]` with finite numbers as elements.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                values
-                    Dimension values. `values[n]` represents the
-                    value of the `n`th point in the dataset,
-                    therefore the `values` vector for all
-                    dimensions must be the same (longer vectors
-                    will be truncated). Each value must be a finite
-                    number.
-                valuessrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  values .
-                visible
-                    Shows the dimension when set to `true` (the
-                    default). Hides the dimension for `false`.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.parcoords.Dimension]
-        """
-        return self["dimensions"]
-
-    @dimensions.setter
-    def dimensions(self, val):
-        self["dimensions"] = val
-
-    # dimensiondefaults
-    # -----------------
-    @property
-    def dimensiondefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.parcoords.dimensiondefaults), sets the
-        default property values to use for elements of
-        parcoords.dimensions
-    
-        The 'dimensiondefaults' property is an instance of Dimension
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Dimension`
-          - A dict of string/value properties that will be passed
-            to the Dimension constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Dimension
-        """
-        return self["dimensiondefaults"]
-
-    @dimensiondefaults.setter
-    def dimensiondefaults(self, val):
-        self["dimensiondefaults"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this parcoords
-                    trace .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this parcoords trace .
-                x
-                    Sets the horizontal domain of this parcoords
-                    trace (in plot fraction).
-                y
-                    Sets the vertical domain of this parcoords
-                    trace (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # labelangle
-    # ----------
-    @property
-    def labelangle(self):
-        """
-        Sets the angle of the labels with respect to the horizontal.
-        For example, a `tickangle` of -90 draws the labels vertically.
-        Tilted labels with "labelangle" may be positioned better inside
-        margins when `labelposition` is set to "bottom".
-    
-        The 'labelangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["labelangle"]
-
-    @labelangle.setter
-    def labelangle(self, val):
-        self["labelangle"] = val
-
-    # labelfont
-    # ---------
-    @property
-    def labelfont(self):
-        """
-        Sets the font for the `dimension` labels.
-    
-        The 'labelfont' property is an instance of Labelfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Labelfont`
-          - A dict of string/value properties that will be passed
-            to the Labelfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Labelfont
-        """
-        return self["labelfont"]
-
-    @labelfont.setter
-    def labelfont(self, val):
-        self["labelfont"] = val
-
-    # labelside
-    # ---------
-    @property
-    def labelside(self):
-        """
-        Specifies the location of the `label`. "top" positions labels
-        above, next to the title "bottom" positions labels below the
-        graph Tilted labels with "labelangle" may be positioned better
-        inside margins when `labelposition` is set to "bottom".
-    
-        The 'labelside' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["labelside"]
-
-    @labelside.setter
-    def labelside(self, val):
-        self["labelside"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `line.colorscale`. Has an effect
-                    only if in `line.color`is set to a numerical
-                    array. In case `colorscale` is unspecified or
-                    `autocolorscale` is true, the default  palette
-                    will be chosen according to whether numbers in
-                    the `color` array are all positive, all
-                    negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `line.color`) or the bounds set in
-                    `line.cmin` and `line.cmax`  Has an effect only
-                    if in `line.color`is set to a numerical array.
-                    Defaults to `false` when `line.cmin` and
-                    `line.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `line.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `line.color` and if set,
-                    `line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `line.cmin` and/or `line.cmax` to be
-                    equidistant to this point. Has an effect only
-                    if in `line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `line.color`. Has no effect when `line.cauto`
-                    is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `line.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `line.color` and if set,
-                    `line.cmax` must be set as well.
-                color
-                    Sets thelinecolor. It accepts either a specific
-                    color or an array of numbers that are mapped to
-                    the colorscale relative to the max and min
-                    values of the array or relative to `line.cmin`
-                    and `line.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.parcoords.line.Col
-                    orBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `line.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`line.cmin` and `line.cmax`.
-                    Alternatively, `colorscale` may be a palette
-                    name string of the following list: Greys,YlGnBu
-                    ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
-                    ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
-                    c,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `line.color`is set to a
-                    numerical array. If true, `line.cmin` will
-                    correspond to the last color in the array and
-                    `line.cmax` will correspond to the first color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `line.color`is set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # rangefont
-    # ---------
-    @property
-    def rangefont(self):
-        """
-        Sets the font for the `dimension` range values.
-    
-        The 'rangefont' property is an instance of Rangefont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Rangefont`
-          - A dict of string/value properties that will be passed
-            to the Rangefont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Rangefont
-        """
-        return self["rangefont"]
-
-    @rangefont.setter
-    def rangefont(self, val):
-        self["rangefont"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the font for the `dimension` tick values.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dimensions
-            The dimensions (variables) of the parallel coordinates
-            chart. 2..60 dimensions are supported.
-        dimensiondefaults
-            When used in a template (as
-            layout.template.data.parcoords.dimensiondefaults), sets
-            the default property values to use for elements of
-            parcoords.dimensions
-        domain
-            :class:`plotly.graph_objects.parcoords.Domain` instance
-            or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        labelangle
-            Sets the angle of the labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            labels vertically. Tilted labels with "labelangle" may
-            be positioned better inside margins when
-            `labelposition` is set to "bottom".
-        labelfont
-            Sets the font for the `dimension` labels.
-        labelside
-            Specifies the location of the `label`. "top" positions
-            labels above, next to the title "bottom" positions
-            labels below the graph Tilted labels with "labelangle"
-            may be positioned better inside margins when
-            `labelposition` is set to "bottom".
-        line
-            :class:`plotly.graph_objects.parcoords.Line` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        rangefont
-            Sets the font for the `dimension` range values.
-        stream
-            :class:`plotly.graph_objects.parcoords.Stream` instance
-            or dict with compatible properties
-        tickfont
-            Sets the font for the `dimension` tick values.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        customdata=None,
-        customdatasrc=None,
-        dimensions=None,
-        dimensiondefaults=None,
-        domain=None,
-        ids=None,
-        idssrc=None,
-        labelangle=None,
-        labelfont=None,
-        labelside=None,
-        line=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        rangefont=None,
-        stream=None,
-        tickfont=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Parcoords object
-        
-        Parallel coordinates for multidimensional exploratory data
-        analysis. The samples are specified in `dimensions`. The colors
-        are set in `line.color`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Parcoords`
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dimensions
-            The dimensions (variables) of the parallel coordinates
-            chart. 2..60 dimensions are supported.
-        dimensiondefaults
-            When used in a template (as
-            layout.template.data.parcoords.dimensiondefaults), sets
-            the default property values to use for elements of
-            parcoords.dimensions
-        domain
-            :class:`plotly.graph_objects.parcoords.Domain` instance
-            or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        labelangle
-            Sets the angle of the labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            labels vertically. Tilted labels with "labelangle" may
-            be positioned better inside margins when
-            `labelposition` is set to "bottom".
-        labelfont
-            Sets the font for the `dimension` labels.
-        labelside
-            Specifies the location of the `label`. "top" positions
-            labels above, next to the title "bottom" positions
-            labels below the graph Tilted labels with "labelangle"
-            may be positioned better inside margins when
-            `labelposition` is set to "bottom".
-        line
-            :class:`plotly.graph_objects.parcoords.Line` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        rangefont
-            Sets the font for the `dimension` range values.
-        stream
-            :class:`plotly.graph_objects.parcoords.Stream` instance
-            or dict with compatible properties
-        tickfont
-            Sets the font for the `dimension` tick values.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Parcoords
-        """
-        super(Parcoords, self).__init__("parcoords")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Parcoords 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Parcoords`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import parcoords as v_parcoords
-
-        # Initialize validators
-        # ---------------------
-        self._validators["customdata"] = v_parcoords.CustomdataValidator()
-        self._validators["customdatasrc"] = v_parcoords.CustomdatasrcValidator()
-        self._validators["dimensions"] = v_parcoords.DimensionsValidator()
-        self._validators["dimensiondefaults"] = v_parcoords.DimensionValidator()
-        self._validators["domain"] = v_parcoords.DomainValidator()
-        self._validators["ids"] = v_parcoords.IdsValidator()
-        self._validators["idssrc"] = v_parcoords.IdssrcValidator()
-        self._validators["labelangle"] = v_parcoords.LabelangleValidator()
-        self._validators["labelfont"] = v_parcoords.LabelfontValidator()
-        self._validators["labelside"] = v_parcoords.LabelsideValidator()
-        self._validators["line"] = v_parcoords.LineValidator()
-        self._validators["meta"] = v_parcoords.MetaValidator()
-        self._validators["metasrc"] = v_parcoords.MetasrcValidator()
-        self._validators["name"] = v_parcoords.NameValidator()
-        self._validators["rangefont"] = v_parcoords.RangefontValidator()
-        self._validators["stream"] = v_parcoords.StreamValidator()
-        self._validators["tickfont"] = v_parcoords.TickfontValidator()
-        self._validators["uid"] = v_parcoords.UidValidator()
-        self._validators["uirevision"] = v_parcoords.UirevisionValidator()
-        self._validators["visible"] = v_parcoords.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dimensions", None)
-        self["dimensions"] = dimensions if dimensions is not None else _v
-        _v = arg.pop("dimensiondefaults", None)
-        self["dimensiondefaults"] = (
-            dimensiondefaults if dimensiondefaults is not None else _v
-        )
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("labelangle", None)
-        self["labelangle"] = labelangle if labelangle is not None else _v
-        _v = arg.pop("labelfont", None)
-        self["labelfont"] = labelfont if labelfont is not None else _v
-        _v = arg.pop("labelside", None)
-        self["labelside"] = labelside if labelside is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("rangefont", None)
-        self["rangefont"] = rangefont if rangefont is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "parcoords"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="parcoords", val="parcoords"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Parcats(_BaseTraceType):
-
-    # arrangement
-    # -----------
-    @property
-    def arrangement(self):
-        """
-        Sets the drag interaction mode for categories and dimensions.
-        If `perpendicular`, the categories can only move along a line
-        perpendicular to the paths. If `freeform`, the categories can
-        freely move on the plane. If `fixed`, the categories and
-        dimensions are stationary.
-    
-        The 'arrangement' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['perpendicular', 'freeform', 'fixed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["arrangement"]
-
-    @arrangement.setter
-    def arrangement(self, val):
-        self["arrangement"] = val
-
-    # bundlecolors
-    # ------------
-    @property
-    def bundlecolors(self):
-        """
-        Sort paths so that like colors are bundled together within each
-        category.
-    
-        The 'bundlecolors' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["bundlecolors"]
-
-    @bundlecolors.setter
-    def bundlecolors(self, val):
-        self["bundlecolors"] = val
-
-    # counts
-    # ------
-    @property
-    def counts(self):
-        """
-        The number of observations represented by each state. Defaults
-        to 1 so that each state represents one observation
-    
-        The 'counts' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["counts"]
-
-    @counts.setter
-    def counts(self, val):
-        self["counts"] = val
-
-    # countssrc
-    # ---------
-    @property
-    def countssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  counts .
-    
-        The 'countssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["countssrc"]
-
-    @countssrc.setter
-    def countssrc(self, val):
-        self["countssrc"] = val
-
-    # dimensions
-    # ----------
-    @property
-    def dimensions(self):
-        """
-        The dimensions (variables) of the parallel categories diagram.
-    
-        The 'dimensions' property is a tuple of instances of
-        Dimension that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.parcats.Dimension
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Dimension constructor
-    
-            Supported dict properties:
-                
-                categoryarray
-                    Sets the order in which categories in this
-                    dimension appear. Only has an effect if
-                    `categoryorder` is set to "array". Used with
-                    `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the categories
-                    in the dimension. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`.
-                displayindex
-                    The display index of dimension, from left to
-                    right, zero indexed, defaults to dimension
-                    index.
-                label
-                    The shown name of the dimension.
-                ticktext
-                    Sets alternative tick labels for the categories
-                    in this dimension. Only has an effect if
-                    `categoryorder` is set to "array". Should be an
-                    array the same length as `categoryarray` Used
-                    with `categoryorder`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                values
-                    Dimension values. `values[n]` represents the
-                    category value of the `n`th point in the
-                    dataset, therefore the `values` vector for all
-                    dimensions must be the same (longer vectors
-                    will be truncated).
-                valuessrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  values .
-                visible
-                    Shows the dimension when set to `true` (the
-                    default). Hides the dimension for `false`.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.parcats.Dimension]
-        """
-        return self["dimensions"]
-
-    @dimensions.setter
-    def dimensions(self, val):
-        self["dimensions"] = val
-
-    # dimensiondefaults
-    # -----------------
-    @property
-    def dimensiondefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.parcats.dimensiondefaults), sets the
-        default property values to use for elements of
-        parcats.dimensions
-    
-        The 'dimensiondefaults' property is an instance of Dimension
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.Dimension`
-          - A dict of string/value properties that will be passed
-            to the Dimension constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.Dimension
-        """
-        return self["dimensiondefaults"]
-
-    @dimensiondefaults.setter
-    def dimensiondefaults(self, val):
-        self["dimensiondefaults"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this parcats trace
-                    .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this parcats trace .
-                x
-                    Sets the horizontal domain of this parcats
-                    trace (in plot fraction).
-                y
-                    Sets the vertical domain of this parcats trace
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['count', 'probability'] joined with '+' characters
-            (e.g. 'count+probability')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Sets the hover interaction mode for the parcats diagram. If
-        `category`, hover interaction take place per category. If
-        `color`, hover interactions take place per color per category.
-        If `dimension`, hover interactions take place across all
-        categories per dimension.
-    
-        The 'hoveron' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['category', 'color', 'dimension']
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `count`, `probability`, `category`, `categorycount`,
-        `colorcount` and `bandcolorcount`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # labelfont
-    # ---------
-    @property
-    def labelfont(self):
-        """
-        Sets the font for the `dimension` labels.
-    
-        The 'labelfont' property is an instance of Labelfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.Labelfont`
-          - A dict of string/value properties that will be passed
-            to the Labelfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.Labelfont
-        """
-        return self["labelfont"]
-
-    @labelfont.setter
-    def labelfont(self, val):
-        self["labelfont"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `line.colorscale`. Has an effect
-                    only if in `line.color`is set to a numerical
-                    array. In case `colorscale` is unspecified or
-                    `autocolorscale` is true, the default  palette
-                    will be chosen according to whether numbers in
-                    the `color` array are all positive, all
-                    negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `line.color`) or the bounds set in
-                    `line.cmin` and `line.cmax`  Has an effect only
-                    if in `line.color`is set to a numerical array.
-                    Defaults to `false` when `line.cmin` and
-                    `line.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `line.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `line.color` and if set,
-                    `line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `line.cmin` and/or `line.cmax` to be
-                    equidistant to this point. Has an effect only
-                    if in `line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `line.color`. Has no effect when `line.cauto`
-                    is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `line.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `line.color` and if set,
-                    `line.cmax` must be set as well.
-                color
-                    Sets thelinecolor. It accepts either a specific
-                    color or an array of numbers that are mapped to
-                    the colorscale relative to the max and min
-                    values of the array or relative to `line.cmin`
-                    and `line.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.parcats.line.Color
-                    Bar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `line.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`line.cmin` and `line.cmax`.
-                    Alternatively, `colorscale` may be a palette
-                    name string of the following list: Greys,YlGnBu
-                    ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
-                    ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
-                    c,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                hovertemplate
-                    Template string used for rendering the
-                    information that appear on hover box. Note that
-                    this will override `hoverinfo`. Variables are
-                    inserted using %{variable}, for example "y:
-                    %{y}". Numbers are formatted using d3-format's
-                    syntax %{variable:d3-format}, for example
-                    "Price: %{y:$.2f}".
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    for details on the formatting syntax. Dates are
-                    formatted using d3-time-format's syntax
-                    %{variable|d3-time-format}, for example "Day:
-                    %{2019-01-01|%A}".
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    for details on the date formatting syntax. The
-                    variables available in `hovertemplate` are the
-                    ones emitted as event data described at this
-                    link https://plotly.com/javascript/plotlyjs-
-                    events/#event-data. Additionally, every
-                    attributes that can be specified per-point (the
-                    ones that are `arrayOk: true`) are available.
-                    variables `count` and `probability`. Anything
-                    contained in tag `<extra>` is displayed in the
-                    secondary box, for example
-                    "<extra>{fullData.name}</extra>". To hide the
-                    secondary box completely, use an empty tag
-                    `<extra></extra>`.
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `line.color`is set to a
-                    numerical array. If true, `line.cmin` will
-                    correspond to the last color in the array and
-                    `line.cmax` will correspond to the first color.
-                shape
-                    Sets the shape of the paths. If `linear`, paths
-                    are composed of straight lines. If `hspline`,
-                    paths are composed of horizontal curved splines
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `line.color`is set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # sortpaths
-    # ---------
-    @property
-    def sortpaths(self):
-        """
-        Sets the path sorting algorithm. If `forward`, sort paths based
-        on dimension categories from left to right. If `backward`, sort
-        paths based on dimensions categories from right to left.
-    
-        The 'sortpaths' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['forward', 'backward']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sortpaths"]
-
-    @sortpaths.setter
-    def sortpaths(self, val):
-        self["sortpaths"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the font for the `category` labels.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        arrangement
-            Sets the drag interaction mode for categories and
-            dimensions. If `perpendicular`, the categories can only
-            move along a line perpendicular to the paths. If
-            `freeform`, the categories can freely move on the
-            plane. If `fixed`, the categories and dimensions are
-            stationary.
-        bundlecolors
-            Sort paths so that like colors are bundled together
-            within each category.
-        counts
-            The number of observations represented by each state.
-            Defaults to 1 so that each state represents one
-            observation
-        countssrc
-            Sets the source reference on Chart Studio Cloud for
-            counts .
-        dimensions
-            The dimensions (variables) of the parallel categories
-            diagram.
-        dimensiondefaults
-            When used in a template (as
-            layout.template.data.parcats.dimensiondefaults), sets
-            the default property values to use for elements of
-            parcats.dimensions
-        domain
-            :class:`plotly.graph_objects.parcats.Domain` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoveron
-            Sets the hover interaction mode for the parcats
-            diagram. If `category`, hover interaction take place
-            per category. If `color`, hover interactions take place
-            per color per category. If `dimension`, hover
-            interactions take place across all categories per
-            dimension.
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `count`, `probability`,
-            `category`, `categorycount`, `colorcount` and
-            `bandcolorcount`. Anything contained in tag `<extra>`
-            is displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        labelfont
-            Sets the font for the `dimension` labels.
-        line
-            :class:`plotly.graph_objects.parcats.Line` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        sortpaths
-            Sets the path sorting algorithm. If `forward`, sort
-            paths based on dimension categories from left to right.
-            If `backward`, sort paths based on dimensions
-            categories from right to left.
-        stream
-            :class:`plotly.graph_objects.parcats.Stream` instance
-            or dict with compatible properties
-        tickfont
-            Sets the font for the `category` labels.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        arrangement=None,
-        bundlecolors=None,
-        counts=None,
-        countssrc=None,
-        dimensions=None,
-        dimensiondefaults=None,
-        domain=None,
-        hoverinfo=None,
-        hoveron=None,
-        hovertemplate=None,
-        labelfont=None,
-        line=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        sortpaths=None,
-        stream=None,
-        tickfont=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Parcats object
-        
-        Parallel categories diagram for multidimensional categorical
-        data.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Parcats`
-        arrangement
-            Sets the drag interaction mode for categories and
-            dimensions. If `perpendicular`, the categories can only
-            move along a line perpendicular to the paths. If
-            `freeform`, the categories can freely move on the
-            plane. If `fixed`, the categories and dimensions are
-            stationary.
-        bundlecolors
-            Sort paths so that like colors are bundled together
-            within each category.
-        counts
-            The number of observations represented by each state.
-            Defaults to 1 so that each state represents one
-            observation
-        countssrc
-            Sets the source reference on Chart Studio Cloud for
-            counts .
-        dimensions
-            The dimensions (variables) of the parallel categories
-            diagram.
-        dimensiondefaults
-            When used in a template (as
-            layout.template.data.parcats.dimensiondefaults), sets
-            the default property values to use for elements of
-            parcats.dimensions
-        domain
-            :class:`plotly.graph_objects.parcats.Domain` instance
-            or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoveron
-            Sets the hover interaction mode for the parcats
-            diagram. If `category`, hover interaction take place
-            per category. If `color`, hover interactions take place
-            per color per category. If `dimension`, hover
-            interactions take place across all categories per
-            dimension.
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `count`, `probability`,
-            `category`, `categorycount`, `colorcount` and
-            `bandcolorcount`. Anything contained in tag `<extra>`
-            is displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        labelfont
-            Sets the font for the `dimension` labels.
-        line
-            :class:`plotly.graph_objects.parcats.Line` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        sortpaths
-            Sets the path sorting algorithm. If `forward`, sort
-            paths based on dimension categories from left to right.
-            If `backward`, sort paths based on dimensions
-            categories from right to left.
-        stream
-            :class:`plotly.graph_objects.parcats.Stream` instance
-            or dict with compatible properties
-        tickfont
-            Sets the font for the `category` labels.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Parcats
-        """
-        super(Parcats, self).__init__("parcats")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Parcats 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Parcats`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import parcats as v_parcats
-
-        # Initialize validators
-        # ---------------------
-        self._validators["arrangement"] = v_parcats.ArrangementValidator()
-        self._validators["bundlecolors"] = v_parcats.BundlecolorsValidator()
-        self._validators["counts"] = v_parcats.CountsValidator()
-        self._validators["countssrc"] = v_parcats.CountssrcValidator()
-        self._validators["dimensions"] = v_parcats.DimensionsValidator()
-        self._validators["dimensiondefaults"] = v_parcats.DimensionValidator()
-        self._validators["domain"] = v_parcats.DomainValidator()
-        self._validators["hoverinfo"] = v_parcats.HoverinfoValidator()
-        self._validators["hoveron"] = v_parcats.HoveronValidator()
-        self._validators["hovertemplate"] = v_parcats.HovertemplateValidator()
-        self._validators["labelfont"] = v_parcats.LabelfontValidator()
-        self._validators["line"] = v_parcats.LineValidator()
-        self._validators["meta"] = v_parcats.MetaValidator()
-        self._validators["metasrc"] = v_parcats.MetasrcValidator()
-        self._validators["name"] = v_parcats.NameValidator()
-        self._validators["sortpaths"] = v_parcats.SortpathsValidator()
-        self._validators["stream"] = v_parcats.StreamValidator()
-        self._validators["tickfont"] = v_parcats.TickfontValidator()
-        self._validators["uid"] = v_parcats.UidValidator()
-        self._validators["uirevision"] = v_parcats.UirevisionValidator()
-        self._validators["visible"] = v_parcats.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("arrangement", None)
-        self["arrangement"] = arrangement if arrangement is not None else _v
-        _v = arg.pop("bundlecolors", None)
-        self["bundlecolors"] = bundlecolors if bundlecolors is not None else _v
-        _v = arg.pop("counts", None)
-        self["counts"] = counts if counts is not None else _v
-        _v = arg.pop("countssrc", None)
-        self["countssrc"] = countssrc if countssrc is not None else _v
-        _v = arg.pop("dimensions", None)
-        self["dimensions"] = dimensions if dimensions is not None else _v
-        _v = arg.pop("dimensiondefaults", None)
-        self["dimensiondefaults"] = (
-            dimensiondefaults if dimensiondefaults is not None else _v
-        )
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("labelfont", None)
-        self["labelfont"] = labelfont if labelfont is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("sortpaths", None)
-        self["sortpaths"] = sortpaths if sortpaths is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "parcats"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="parcats", val="parcats"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Ohlc(_BaseTraceType):
-
-    # close
-    # -----
-    @property
-    def close(self):
-        """
-        Sets the close values.
-    
-        The 'close' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["close"]
-
-    @close.setter
-    def close(self, val):
-        self["close"] = val
-
-    # closesrc
-    # --------
-    @property
-    def closesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  close .
-    
-        The 'closesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["closesrc"]
-
-    @closesrc.setter
-    def closesrc(self, val):
-        self["closesrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # decreasing
-    # ----------
-    @property
-    def decreasing(self):
-        """
-        The 'decreasing' property is an instance of Decreasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.Decreasing`
-          - A dict of string/value properties that will be passed
-            to the Decreasing constructor
-    
-            Supported dict properties:
-                
-                line
-                    :class:`plotly.graph_objects.ohlc.decreasing.Li
-                    ne` instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.Decreasing
-        """
-        return self["decreasing"]
-
-    @decreasing.setter
-    def decreasing(self, val):
-        self["decreasing"] = val
-
-    # high
-    # ----
-    @property
-    def high(self):
-        """
-        Sets the high values.
-    
-        The 'high' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["high"]
-
-    @high.setter
-    def high(self, val):
-        self["high"] = val
-
-    # highsrc
-    # -------
-    @property
-    def highsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  high .
-    
-        The 'highsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["highsrc"]
-
-    @highsrc.setter
-    def highsrc(self, val):
-        self["highsrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-                split
-                    Show hover information (open, close, high, low)
-                    in separate labels.
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # increasing
-    # ----------
-    @property
-    def increasing(self):
-        """
-        The 'increasing' property is an instance of Increasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.Increasing`
-          - A dict of string/value properties that will be passed
-            to the Increasing constructor
-    
-            Supported dict properties:
-                
-                line
-                    :class:`plotly.graph_objects.ohlc.increasing.Li
-                    ne` instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.Increasing
-        """
-        return self["increasing"]
-
-    @increasing.setter
-    def increasing(self, val):
-        self["increasing"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                    Note that this style setting can also be set
-                    per direction via `increasing.line.dash` and
-                    `decreasing.line.dash`.
-                width
-                    [object Object] Note that this style setting
-                    can also be set per direction via
-                    `increasing.line.width` and
-                    `decreasing.line.width`.
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # low
-    # ---
-    @property
-    def low(self):
-        """
-        Sets the low values.
-    
-        The 'low' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["low"]
-
-    @low.setter
-    def low(self, val):
-        self["low"] = val
-
-    # lowsrc
-    # ------
-    @property
-    def lowsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  low .
-    
-        The 'lowsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["lowsrc"]
-
-    @lowsrc.setter
-    def lowsrc(self, val):
-        self["lowsrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # open
-    # ----
-    @property
-    def open(self):
-        """
-        Sets the open values.
-    
-        The 'open' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["open"]
-
-    @open.setter
-    def open(self, val):
-        self["open"] = val
-
-    # opensrc
-    # -------
-    @property
-    def opensrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  open .
-    
-        The 'opensrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opensrc"]
-
-    @opensrc.setter
-    def opensrc(self, val):
-        self["opensrc"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets hover text elements associated with each sample point. If
-        a single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        this trace's sample points.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the width of the open/close tick marks relative to the "x"
-        minimal interval.
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, 0.5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates. If absent, linear coordinate will be
-        generated.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        close
-            Sets the close values.
-        closesrc
-            Sets the source reference on Chart Studio Cloud for
-            close .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        decreasing
-            :class:`plotly.graph_objects.ohlc.Decreasing` instance
-            or dict with compatible properties
-        high
-            Sets the high values.
-        highsrc
-            Sets the source reference on Chart Studio Cloud for
-            high .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.ohlc.Hoverlabel` instance
-            or dict with compatible properties
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        increasing
-            :class:`plotly.graph_objects.ohlc.Increasing` instance
-            or dict with compatible properties
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.ohlc.Line` instance or
-            dict with compatible properties
-        low
-            Sets the low values.
-        lowsrc
-            Sets the source reference on Chart Studio Cloud for
-            low .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        open
-            Sets the open values.
-        opensrc
-            Sets the source reference on Chart Studio Cloud for
-            open .
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.ohlc.Stream` instance or
-            dict with compatible properties
-        text
-            Sets hover text elements associated with each sample
-            point. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to this trace's sample points.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        tickwidth
-            Sets the width of the open/close tick marks relative to
-            the "x" minimal interval.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates. If absent, linear coordinate
-            will be generated.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        close=None,
-        closesrc=None,
-        customdata=None,
-        customdatasrc=None,
-        decreasing=None,
-        high=None,
-        highsrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        increasing=None,
-        legendgroup=None,
-        line=None,
-        low=None,
-        lowsrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        open=None,
-        opensrc=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        tickwidth=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        yaxis=None,
-        **kwargs
-    ):
-        """
-        Construct a new Ohlc object
-        
-        The ohlc (short for Open-High-Low-Close) is a style of
-        financial chart describing open, high, low and close for a
-        given `x` coordinate (most likely time). The tip of the lines
-        represent the `low` and `high` values and the horizontal
-        segments represent the `open` and `close` values. Sample points
-        where the close value is higher (lower) then the open value are
-        called increasing (decreasing). By default, increasing items
-        are drawn in green whereas decreasing are drawn in red.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Ohlc`
-        close
-            Sets the close values.
-        closesrc
-            Sets the source reference on Chart Studio Cloud for
-            close .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        decreasing
-            :class:`plotly.graph_objects.ohlc.Decreasing` instance
-            or dict with compatible properties
-        high
-            Sets the high values.
-        highsrc
-            Sets the source reference on Chart Studio Cloud for
-            high .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.ohlc.Hoverlabel` instance
-            or dict with compatible properties
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        increasing
-            :class:`plotly.graph_objects.ohlc.Increasing` instance
-            or dict with compatible properties
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.ohlc.Line` instance or
-            dict with compatible properties
-        low
-            Sets the low values.
-        lowsrc
-            Sets the source reference on Chart Studio Cloud for
-            low .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        open
-            Sets the open values.
-        opensrc
-            Sets the source reference on Chart Studio Cloud for
-            open .
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.ohlc.Stream` instance or
-            dict with compatible properties
-        text
-            Sets hover text elements associated with each sample
-            point. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to this trace's sample points.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        tickwidth
-            Sets the width of the open/close tick marks relative to
-            the "x" minimal interval.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates. If absent, linear coordinate
-            will be generated.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-
-        Returns
-        -------
-        Ohlc
-        """
-        super(Ohlc, self).__init__("ohlc")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Ohlc 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Ohlc`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import ohlc as v_ohlc
-
-        # Initialize validators
-        # ---------------------
-        self._validators["close"] = v_ohlc.CloseValidator()
-        self._validators["closesrc"] = v_ohlc.ClosesrcValidator()
-        self._validators["customdata"] = v_ohlc.CustomdataValidator()
-        self._validators["customdatasrc"] = v_ohlc.CustomdatasrcValidator()
-        self._validators["decreasing"] = v_ohlc.DecreasingValidator()
-        self._validators["high"] = v_ohlc.HighValidator()
-        self._validators["highsrc"] = v_ohlc.HighsrcValidator()
-        self._validators["hoverinfo"] = v_ohlc.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_ohlc.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_ohlc.HoverlabelValidator()
-        self._validators["hovertext"] = v_ohlc.HovertextValidator()
-        self._validators["hovertextsrc"] = v_ohlc.HovertextsrcValidator()
-        self._validators["ids"] = v_ohlc.IdsValidator()
-        self._validators["idssrc"] = v_ohlc.IdssrcValidator()
-        self._validators["increasing"] = v_ohlc.IncreasingValidator()
-        self._validators["legendgroup"] = v_ohlc.LegendgroupValidator()
-        self._validators["line"] = v_ohlc.LineValidator()
-        self._validators["low"] = v_ohlc.LowValidator()
-        self._validators["lowsrc"] = v_ohlc.LowsrcValidator()
-        self._validators["meta"] = v_ohlc.MetaValidator()
-        self._validators["metasrc"] = v_ohlc.MetasrcValidator()
-        self._validators["name"] = v_ohlc.NameValidator()
-        self._validators["opacity"] = v_ohlc.OpacityValidator()
-        self._validators["open"] = v_ohlc.OpenValidator()
-        self._validators["opensrc"] = v_ohlc.OpensrcValidator()
-        self._validators["selectedpoints"] = v_ohlc.SelectedpointsValidator()
-        self._validators["showlegend"] = v_ohlc.ShowlegendValidator()
-        self._validators["stream"] = v_ohlc.StreamValidator()
-        self._validators["text"] = v_ohlc.TextValidator()
-        self._validators["textsrc"] = v_ohlc.TextsrcValidator()
-        self._validators["tickwidth"] = v_ohlc.TickwidthValidator()
-        self._validators["uid"] = v_ohlc.UidValidator()
-        self._validators["uirevision"] = v_ohlc.UirevisionValidator()
-        self._validators["visible"] = v_ohlc.VisibleValidator()
-        self._validators["x"] = v_ohlc.XValidator()
-        self._validators["xaxis"] = v_ohlc.XAxisValidator()
-        self._validators["xcalendar"] = v_ohlc.XcalendarValidator()
-        self._validators["xsrc"] = v_ohlc.XsrcValidator()
-        self._validators["yaxis"] = v_ohlc.YAxisValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("close", None)
-        self["close"] = close if close is not None else _v
-        _v = arg.pop("closesrc", None)
-        self["closesrc"] = closesrc if closesrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("decreasing", None)
-        self["decreasing"] = decreasing if decreasing is not None else _v
-        _v = arg.pop("high", None)
-        self["high"] = high if high is not None else _v
-        _v = arg.pop("highsrc", None)
-        self["highsrc"] = highsrc if highsrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("increasing", None)
-        self["increasing"] = increasing if increasing is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("low", None)
-        self["low"] = low if low is not None else _v
-        _v = arg.pop("lowsrc", None)
-        self["lowsrc"] = lowsrc if lowsrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("open", None)
-        self["open"] = open if open is not None else _v
-        _v = arg.pop("opensrc", None)
-        self["opensrc"] = opensrc if opensrc is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "ohlc"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="ohlc", val="ohlc"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Mesh3d(_BaseTraceType):
-
-    # alphahull
-    # ---------
-    @property
-    def alphahull(self):
-        """
-        Determines how the mesh surface triangles are derived from the
-        set of vertices (points) represented by the `x`, `y` and `z`
-        arrays, if the `i`, `j`, `k` arrays are not supplied. For
-        general use of `mesh3d` it is preferred that `i`, `j`, `k` are
-        supplied. If "-1", Delaunay triangulation is used, which is
-        mainly suitable if the mesh is a single, more or less layer
-        surface that is perpendicular to `delaunayaxis`. In case the
-        `delaunayaxis` intersects the mesh surface at more than one
-        point it will result triangles that are very long in the
-        dimension of `delaunayaxis`. If ">0", the alpha-shape algorithm
-        is used. In this case, the positive `alphahull` value signals
-        the use of the alpha-shape algorithm, _and_ its value acts as
-        the parameter for the mesh fitting. If 0,  the convex-hull
-        algorithm is used. It is suitable for convex bodies or if the
-        intention is to enclose the `x`, `y` and `z` point set into a
-        convex hull.
-    
-        The 'alphahull' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["alphahull"]
-
-    @alphahull.setter
-    def alphahull(self, val):
-        self["alphahull"] = val
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here `intensity`) or the bounds set
-        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
-        `cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as `intensity` and if set, `cmin` must be set as
-        well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as `intensity`. Has no effect when `cauto` is
-        `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as `intensity` and if set, `cmax` must be set as
-        well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the whole mesh
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to mesh3d.colorscale
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.mesh3d.
-                    colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.mesh3d.colorbar.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of mesh3d.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.mesh3d.colorbar.Ti
-                    tle` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    mesh3d.colorbar.title.font instead. Sets this
-                    color bar's title font. Note that the title's
-                    font used to be set by the now deprecated
-                    `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    mesh3d.colorbar.title.side instead. Determines
-                    the location of color bar's title with respect
-                    to the color bar. Note that the title's
-                    location used to be set by the now deprecated
-                    `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # contour
-    # -------
-    @property
-    def contour(self):
-        """
-        The 'contour' property is an instance of Contour
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.Contour`
-          - A dict of string/value properties that will be passed
-            to the Contour constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour lines.
-                show
-                    Sets whether or not dynamic contours are shown
-                    on hover
-                width
-                    Sets the width of the contour lines.
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.Contour
-        """
-        return self["contour"]
-
-    @contour.setter
-    def contour(self, val):
-        self["contour"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # delaunayaxis
-    # ------------
-    @property
-    def delaunayaxis(self):
-        """
-        Sets the Delaunay axis, which is the axis that is perpendicular
-        to the surface of the Delaunay triangulation. It has an effect
-        if `i`, `j`, `k` are not provided and `alphahull` is set to
-        indicate Delaunay triangulation.
-    
-        The 'delaunayaxis' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['x', 'y', 'z']
-
-        Returns
-        -------
-        Any
-        """
-        return self["delaunayaxis"]
-
-    @delaunayaxis.setter
-    def delaunayaxis(self, val):
-        self["delaunayaxis"] = val
-
-    # facecolor
-    # ---------
-    @property
-    def facecolor(self):
-        """
-        Sets the color of each face Overrides "color" and
-        "vertexcolor".
-    
-        The 'facecolor' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["facecolor"]
-
-    @facecolor.setter
-    def facecolor(self, val):
-        self["facecolor"] = val
-
-    # facecolorsrc
-    # ------------
-    @property
-    def facecolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  facecolor
-        .
-    
-        The 'facecolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["facecolorsrc"]
-
-    @facecolorsrc.setter
-    def facecolorsrc(self, val):
-        self["facecolorsrc"] = val
-
-    # flatshading
-    # -----------
-    @property
-    def flatshading(self):
-        """
-        Determines whether or not normal smoothing is applied to the
-        meshes, creating meshes with an angular, low-poly look via flat
-        reflections.
-    
-        The 'flatshading' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["flatshading"]
-
-    @flatshading.setter
-    def flatshading(self, val):
-        self["flatshading"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # i
-    # -
-    @property
-    def i(self):
-        """
-        A vector of vertex indices, i.e. integer values between 0 and
-        the length of the vertex vectors, representing the "first"
-        vertex of a triangle. For example, `{i[m], j[m], k[m]}`
-        together represent face m (triangle m) in the mesh, where `i[m]
-        = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex
-        arrays. Therefore, each element in `i` represents a point in
-        space, which is the first vertex of a triangle.
-    
-        The 'i' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["i"]
-
-    @i.setter
-    def i(self, val):
-        self["i"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # intensity
-    # ---------
-    @property
-    def intensity(self):
-        """
-        Sets the intensity values for vertices or cells as defined by
-        `intensitymode`. It can be used for plotting fields on meshes.
-    
-        The 'intensity' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["intensity"]
-
-    @intensity.setter
-    def intensity(self, val):
-        self["intensity"] = val
-
-    # intensitymode
-    # -------------
-    @property
-    def intensitymode(self):
-        """
-        Determines the source of `intensity` values.
-    
-        The 'intensitymode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['vertex', 'cell']
-
-        Returns
-        -------
-        Any
-        """
-        return self["intensitymode"]
-
-    @intensitymode.setter
-    def intensitymode(self, val):
-        self["intensitymode"] = val
-
-    # intensitysrc
-    # ------------
-    @property
-    def intensitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  intensity
-        .
-    
-        The 'intensitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["intensitysrc"]
-
-    @intensitysrc.setter
-    def intensitysrc(self, val):
-        self["intensitysrc"] = val
-
-    # isrc
-    # ----
-    @property
-    def isrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  i .
-    
-        The 'isrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["isrc"]
-
-    @isrc.setter
-    def isrc(self, val):
-        self["isrc"] = val
-
-    # j
-    # -
-    @property
-    def j(self):
-        """
-        A vector of vertex indices, i.e. integer values between 0 and
-        the length of the vertex vectors, representing the "second"
-        vertex of a triangle. For example, `{i[m], j[m], k[m]}`
-        together represent face m (triangle m) in the mesh, where `j[m]
-        = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex
-        arrays. Therefore, each element in `j` represents a point in
-        space, which is the second vertex of a triangle.
-    
-        The 'j' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["j"]
-
-    @j.setter
-    def j(self, val):
-        self["j"] = val
-
-    # jsrc
-    # ----
-    @property
-    def jsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  j .
-    
-        The 'jsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["jsrc"]
-
-    @jsrc.setter
-    def jsrc(self, val):
-        self["jsrc"] = val
-
-    # k
-    # -
-    @property
-    def k(self):
-        """
-        A vector of vertex indices, i.e. integer values between 0 and
-        the length of the vertex vectors, representing the "third"
-        vertex of a triangle. For example, `{i[m], j[m], k[m]}`
-        together represent face m (triangle m) in the mesh, where `k[m]
-        = n` points to the triplet  `{x[n], y[n], z[n]}` in the vertex
-        arrays. Therefore, each element in `k` represents a point in
-        space, which is the third vertex of a triangle.
-    
-        The 'k' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["k"]
-
-    @k.setter
-    def k(self, val):
-        self["k"] = val
-
-    # ksrc
-    # ----
-    @property
-    def ksrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  k .
-    
-        The 'ksrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ksrc"]
-
-    @ksrc.setter
-    def ksrc(self, val):
-        self["ksrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lighting
-    # --------
-    @property
-    def lighting(self):
-        """
-        The 'lighting' property is an instance of Lighting
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.Lighting`
-          - A dict of string/value properties that will be passed
-            to the Lighting constructor
-    
-            Supported dict properties:
-                
-                ambient
-                    Ambient light increases overall color
-                    visibility but can wash out the image.
-                diffuse
-                    Represents the extent that incident rays are
-                    reflected in a range of angles.
-                facenormalsepsilon
-                    Epsilon for face normals calculation avoids
-                    math issues arising from degenerate geometry.
-                fresnel
-                    Represents the reflectance as a dependency of
-                    the viewing angle; e.g. paper is reflective
-                    when viewing it from the edge of the paper
-                    (almost 90 degrees), causing shine.
-                roughness
-                    Alters specular reflection; the rougher the
-                    surface, the wider and less contrasty the
-                    shine.
-                specular
-                    Represents the level that incident rays are
-                    reflected in a single direction, causing shine.
-                vertexnormalsepsilon
-                    Epsilon for vertex normals calculation avoids
-                    math issues arising from degenerate geometry.
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.Lighting
-        """
-        return self["lighting"]
-
-    @lighting.setter
-    def lighting(self, val):
-        self["lighting"] = val
-
-    # lightposition
-    # -------------
-    @property
-    def lightposition(self):
-        """
-        The 'lightposition' property is an instance of Lightposition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.Lightposition`
-          - A dict of string/value properties that will be passed
-            to the Lightposition constructor
-    
-            Supported dict properties:
-                
-                x
-                    Numeric vector, representing the X coordinate
-                    for each vertex.
-                y
-                    Numeric vector, representing the Y coordinate
-                    for each vertex.
-                z
-                    Numeric vector, representing the Z coordinate
-                    for each vertex.
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.Lightposition
-        """
-        return self["lightposition"]
-
-    @lightposition.setter
-    def lightposition(self, val):
-        self["lightposition"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the surface. Please note that in the case
-        of using high `opacity` values for example a value greater than
-        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
-        an overlay of multiple transparent surfaces may not perfectly
-        be sorted in depth by the webgl API. This behavior may be
-        improved in the near future and is subject to change.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with the vertices. If trace
-        `hoverinfo` contains a "text" flag and "hovertext" is not set,
-        these elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # vertexcolor
-    # -----------
-    @property
-    def vertexcolor(self):
-        """
-        Sets the color of each vertex Overrides "color". While Red,
-        green and blue colors are in the range of 0 and 255; in the
-        case of having vertex color data in RGBA format, the alpha
-        color should be normalized to be between 0 and 1.
-    
-        The 'vertexcolor' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["vertexcolor"]
-
-    @vertexcolor.setter
-    def vertexcolor(self, val):
-        self["vertexcolor"] = val
-
-    # vertexcolorsrc
-    # --------------
-    @property
-    def vertexcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        vertexcolor .
-    
-        The 'vertexcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["vertexcolorsrc"]
-
-    @vertexcolorsrc.setter
-    def vertexcolorsrc(self, val):
-        self["vertexcolorsrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the X coordinates of the vertices. The nth element of
-        vectors `x`, `y` and `z` jointly represent the X, Y and Z
-        coordinates of the nth vertex.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the Y coordinates of the vertices. The nth element of
-        vectors `x`, `y` and `z` jointly represent the X, Y and Z
-        coordinates of the nth vertex.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the Z coordinates of the vertices. The nth element of
-        vectors `x`, `y` and `z` jointly represent the X, Y and Z
-        coordinates of the nth vertex.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zcalendar
-    # ---------
-    @property
-    def zcalendar(self):
-        """
-        Sets the calendar system to use with `z` date data.
-    
-        The 'zcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["zcalendar"]
-
-    @zcalendar.setter
-    def zcalendar(self, val):
-        self["zcalendar"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alphahull
-            Determines how the mesh surface triangles are derived
-            from the set of vertices (points) represented by the
-            `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays
-            are not supplied. For general use of `mesh3d` it is
-            preferred that `i`, `j`, `k` are supplied. If "-1",
-            Delaunay triangulation is used, which is mainly
-            suitable if the mesh is a single, more or less layer
-            surface that is perpendicular to `delaunayaxis`. In
-            case the `delaunayaxis` intersects the mesh surface at
-            more than one point it will result triangles that are
-            very long in the dimension of `delaunayaxis`. If ">0",
-            the alpha-shape algorithm is used. In this case, the
-            positive `alphahull` value signals the use of the
-            alpha-shape algorithm, _and_ its value acts as the
-            parameter for the mesh fitting. If 0,  the convex-hull
-            algorithm is used. It is suitable for convex bodies or
-            if the intention is to enclose the `x`, `y` and `z`
-            point set into a convex hull.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here `intensity`) or
-            the bounds set in `cmin` and `cmax`  Defaults to
-            `false` when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as `intensity` and if set, `cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as `intensity`. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as `intensity` and if set, `cmax`
-            must be set as well.
-        color
-            Sets the color of the whole mesh
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.mesh3d.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contour
-            :class:`plotly.graph_objects.mesh3d.Contour` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        delaunayaxis
-            Sets the Delaunay axis, which is the axis that is
-            perpendicular to the surface of the Delaunay
-            triangulation. It has an effect if `i`, `j`, `k` are
-            not provided and `alphahull` is set to indicate
-            Delaunay triangulation.
-        facecolor
-            Sets the color of each face Overrides "color" and
-            "vertexcolor".
-        facecolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            facecolor .
-        flatshading
-            Determines whether or not normal smoothing is applied
-            to the meshes, creating meshes with an angular, low-
-            poly look via flat reflections.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.mesh3d.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        i
-            A vector of vertex indices, i.e. integer values between
-            0 and the length of the vertex vectors, representing
-            the "first" vertex of a triangle. For example, `{i[m],
-            j[m], k[m]}` together represent face m (triangle m) in
-            the mesh, where `i[m] = n` points to the triplet
-            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
-            each element in `i` represents a point in space, which
-            is the first vertex of a triangle.
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        intensity
-            Sets the intensity values for vertices or cells as
-            defined by `intensitymode`. It can be used for plotting
-            fields on meshes.
-        intensitymode
-            Determines the source of `intensity` values.
-        intensitysrc
-            Sets the source reference on Chart Studio Cloud for
-            intensity .
-        isrc
-            Sets the source reference on Chart Studio Cloud for  i
-            .
-        j
-            A vector of vertex indices, i.e. integer values between
-            0 and the length of the vertex vectors, representing
-            the "second" vertex of a triangle. For example, `{i[m],
-            j[m], k[m]}`  together represent face m (triangle m) in
-            the mesh, where `j[m] = n` points to the triplet
-            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
-            each element in `j` represents a point in space, which
-            is the second vertex of a triangle.
-        jsrc
-            Sets the source reference on Chart Studio Cloud for  j
-            .
-        k
-            A vector of vertex indices, i.e. integer values between
-            0 and the length of the vertex vectors, representing
-            the "third" vertex of a triangle. For example, `{i[m],
-            j[m], k[m]}` together represent face m (triangle m) in
-            the mesh, where `k[m] = n` points to the triplet
-            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
-            each element in `k` represents a point in space, which
-            is the third vertex of a triangle.
-        ksrc
-            Sets the source reference on Chart Studio Cloud for  k
-            .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.mesh3d.Lighting` instance
-            or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.mesh3d.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.mesh3d.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with the vertices. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        vertexcolor
-            Sets the color of each vertex Overrides "color". While
-            Red, green and blue colors are in the range of 0 and
-            255; in the case of having vertex color data in RGBA
-            format, the alpha color should be normalized to be
-            between 0 and 1.
-        vertexcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            vertexcolor .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the X coordinates of the vertices. The nth element
-            of vectors `x`, `y` and `z` jointly represent the X, Y
-            and Z coordinates of the nth vertex.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the Y coordinates of the vertices. The nth element
-            of vectors `x`, `y` and `z` jointly represent the X, Y
-            and Z coordinates of the nth vertex.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the Z coordinates of the vertices. The nth element
-            of vectors `x`, `y` and `z` jointly represent the X, Y
-            and Z coordinates of the nth vertex.
-        zcalendar
-            Sets the calendar system to use with `z` date data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alphahull=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        contour=None,
-        customdata=None,
-        customdatasrc=None,
-        delaunayaxis=None,
-        facecolor=None,
-        facecolorsrc=None,
-        flatshading=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        i=None,
-        ids=None,
-        idssrc=None,
-        intensity=None,
-        intensitymode=None,
-        intensitysrc=None,
-        isrc=None,
-        j=None,
-        jsrc=None,
-        k=None,
-        ksrc=None,
-        legendgroup=None,
-        lighting=None,
-        lightposition=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        reversescale=None,
-        scene=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        vertexcolor=None,
-        vertexcolorsrc=None,
-        visible=None,
-        x=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        ycalendar=None,
-        ysrc=None,
-        z=None,
-        zcalendar=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Mesh3d object
-        
-        Draws sets of triangles with coordinates given by three
-        1-dimensional arrays in `x`, `y`, `z` and (1) a sets of `i`,
-        `j`, `k` indices (2) Delaunay triangulation or (3) the Alpha-
-        shape algorithm or (4) the Convex-hull algorithm
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Mesh3d`
-        alphahull
-            Determines how the mesh surface triangles are derived
-            from the set of vertices (points) represented by the
-            `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays
-            are not supplied. For general use of `mesh3d` it is
-            preferred that `i`, `j`, `k` are supplied. If "-1",
-            Delaunay triangulation is used, which is mainly
-            suitable if the mesh is a single, more or less layer
-            surface that is perpendicular to `delaunayaxis`. In
-            case the `delaunayaxis` intersects the mesh surface at
-            more than one point it will result triangles that are
-            very long in the dimension of `delaunayaxis`. If ">0",
-            the alpha-shape algorithm is used. In this case, the
-            positive `alphahull` value signals the use of the
-            alpha-shape algorithm, _and_ its value acts as the
-            parameter for the mesh fitting. If 0,  the convex-hull
-            algorithm is used. It is suitable for convex bodies or
-            if the intention is to enclose the `x`, `y` and `z`
-            point set into a convex hull.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here `intensity`) or
-            the bounds set in `cmin` and `cmax`  Defaults to
-            `false` when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as `intensity` and if set, `cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as `intensity`. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as `intensity` and if set, `cmax`
-            must be set as well.
-        color
-            Sets the color of the whole mesh
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.mesh3d.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contour
-            :class:`plotly.graph_objects.mesh3d.Contour` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        delaunayaxis
-            Sets the Delaunay axis, which is the axis that is
-            perpendicular to the surface of the Delaunay
-            triangulation. It has an effect if `i`, `j`, `k` are
-            not provided and `alphahull` is set to indicate
-            Delaunay triangulation.
-        facecolor
-            Sets the color of each face Overrides "color" and
-            "vertexcolor".
-        facecolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            facecolor .
-        flatshading
-            Determines whether or not normal smoothing is applied
-            to the meshes, creating meshes with an angular, low-
-            poly look via flat reflections.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.mesh3d.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        i
-            A vector of vertex indices, i.e. integer values between
-            0 and the length of the vertex vectors, representing
-            the "first" vertex of a triangle. For example, `{i[m],
-            j[m], k[m]}` together represent face m (triangle m) in
-            the mesh, where `i[m] = n` points to the triplet
-            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
-            each element in `i` represents a point in space, which
-            is the first vertex of a triangle.
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        intensity
-            Sets the intensity values for vertices or cells as
-            defined by `intensitymode`. It can be used for plotting
-            fields on meshes.
-        intensitymode
-            Determines the source of `intensity` values.
-        intensitysrc
-            Sets the source reference on Chart Studio Cloud for
-            intensity .
-        isrc
-            Sets the source reference on Chart Studio Cloud for  i
-            .
-        j
-            A vector of vertex indices, i.e. integer values between
-            0 and the length of the vertex vectors, representing
-            the "second" vertex of a triangle. For example, `{i[m],
-            j[m], k[m]}`  together represent face m (triangle m) in
-            the mesh, where `j[m] = n` points to the triplet
-            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
-            each element in `j` represents a point in space, which
-            is the second vertex of a triangle.
-        jsrc
-            Sets the source reference on Chart Studio Cloud for  j
-            .
-        k
-            A vector of vertex indices, i.e. integer values between
-            0 and the length of the vertex vectors, representing
-            the "third" vertex of a triangle. For example, `{i[m],
-            j[m], k[m]}` together represent face m (triangle m) in
-            the mesh, where `k[m] = n` points to the triplet
-            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
-            each element in `k` represents a point in space, which
-            is the third vertex of a triangle.
-        ksrc
-            Sets the source reference on Chart Studio Cloud for  k
-            .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.mesh3d.Lighting` instance
-            or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.mesh3d.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.mesh3d.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with the vertices. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        vertexcolor
-            Sets the color of each vertex Overrides "color". While
-            Red, green and blue colors are in the range of 0 and
-            255; in the case of having vertex color data in RGBA
-            format, the alpha color should be normalized to be
-            between 0 and 1.
-        vertexcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            vertexcolor .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the X coordinates of the vertices. The nth element
-            of vectors `x`, `y` and `z` jointly represent the X, Y
-            and Z coordinates of the nth vertex.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the Y coordinates of the vertices. The nth element
-            of vectors `x`, `y` and `z` jointly represent the X, Y
-            and Z coordinates of the nth vertex.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the Z coordinates of the vertices. The nth element
-            of vectors `x`, `y` and `z` jointly represent the X, Y
-            and Z coordinates of the nth vertex.
-        zcalendar
-            Sets the calendar system to use with `z` date data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Mesh3d
-        """
-        super(Mesh3d, self).__init__("mesh3d")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Mesh3d 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Mesh3d`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import mesh3d as v_mesh3d
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alphahull"] = v_mesh3d.AlphahullValidator()
-        self._validators["autocolorscale"] = v_mesh3d.AutocolorscaleValidator()
-        self._validators["cauto"] = v_mesh3d.CautoValidator()
-        self._validators["cmax"] = v_mesh3d.CmaxValidator()
-        self._validators["cmid"] = v_mesh3d.CmidValidator()
-        self._validators["cmin"] = v_mesh3d.CminValidator()
-        self._validators["color"] = v_mesh3d.ColorValidator()
-        self._validators["coloraxis"] = v_mesh3d.ColoraxisValidator()
-        self._validators["colorbar"] = v_mesh3d.ColorBarValidator()
-        self._validators["colorscale"] = v_mesh3d.ColorscaleValidator()
-        self._validators["contour"] = v_mesh3d.ContourValidator()
-        self._validators["customdata"] = v_mesh3d.CustomdataValidator()
-        self._validators["customdatasrc"] = v_mesh3d.CustomdatasrcValidator()
-        self._validators["delaunayaxis"] = v_mesh3d.DelaunayaxisValidator()
-        self._validators["facecolor"] = v_mesh3d.FacecolorValidator()
-        self._validators["facecolorsrc"] = v_mesh3d.FacecolorsrcValidator()
-        self._validators["flatshading"] = v_mesh3d.FlatshadingValidator()
-        self._validators["hoverinfo"] = v_mesh3d.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_mesh3d.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_mesh3d.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_mesh3d.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_mesh3d.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_mesh3d.HovertextValidator()
-        self._validators["hovertextsrc"] = v_mesh3d.HovertextsrcValidator()
-        self._validators["i"] = v_mesh3d.IValidator()
-        self._validators["ids"] = v_mesh3d.IdsValidator()
-        self._validators["idssrc"] = v_mesh3d.IdssrcValidator()
-        self._validators["intensity"] = v_mesh3d.IntensityValidator()
-        self._validators["intensitymode"] = v_mesh3d.IntensitymodeValidator()
-        self._validators["intensitysrc"] = v_mesh3d.IntensitysrcValidator()
-        self._validators["isrc"] = v_mesh3d.IsrcValidator()
-        self._validators["j"] = v_mesh3d.JValidator()
-        self._validators["jsrc"] = v_mesh3d.JsrcValidator()
-        self._validators["k"] = v_mesh3d.KValidator()
-        self._validators["ksrc"] = v_mesh3d.KsrcValidator()
-        self._validators["legendgroup"] = v_mesh3d.LegendgroupValidator()
-        self._validators["lighting"] = v_mesh3d.LightingValidator()
-        self._validators["lightposition"] = v_mesh3d.LightpositionValidator()
-        self._validators["meta"] = v_mesh3d.MetaValidator()
-        self._validators["metasrc"] = v_mesh3d.MetasrcValidator()
-        self._validators["name"] = v_mesh3d.NameValidator()
-        self._validators["opacity"] = v_mesh3d.OpacityValidator()
-        self._validators["reversescale"] = v_mesh3d.ReversescaleValidator()
-        self._validators["scene"] = v_mesh3d.SceneValidator()
-        self._validators["showlegend"] = v_mesh3d.ShowlegendValidator()
-        self._validators["showscale"] = v_mesh3d.ShowscaleValidator()
-        self._validators["stream"] = v_mesh3d.StreamValidator()
-        self._validators["text"] = v_mesh3d.TextValidator()
-        self._validators["textsrc"] = v_mesh3d.TextsrcValidator()
-        self._validators["uid"] = v_mesh3d.UidValidator()
-        self._validators["uirevision"] = v_mesh3d.UirevisionValidator()
-        self._validators["vertexcolor"] = v_mesh3d.VertexcolorValidator()
-        self._validators["vertexcolorsrc"] = v_mesh3d.VertexcolorsrcValidator()
-        self._validators["visible"] = v_mesh3d.VisibleValidator()
-        self._validators["x"] = v_mesh3d.XValidator()
-        self._validators["xcalendar"] = v_mesh3d.XcalendarValidator()
-        self._validators["xsrc"] = v_mesh3d.XsrcValidator()
-        self._validators["y"] = v_mesh3d.YValidator()
-        self._validators["ycalendar"] = v_mesh3d.YcalendarValidator()
-        self._validators["ysrc"] = v_mesh3d.YsrcValidator()
-        self._validators["z"] = v_mesh3d.ZValidator()
-        self._validators["zcalendar"] = v_mesh3d.ZcalendarValidator()
-        self._validators["zsrc"] = v_mesh3d.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alphahull", None)
-        self["alphahull"] = alphahull if alphahull is not None else _v
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("contour", None)
-        self["contour"] = contour if contour is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("delaunayaxis", None)
-        self["delaunayaxis"] = delaunayaxis if delaunayaxis is not None else _v
-        _v = arg.pop("facecolor", None)
-        self["facecolor"] = facecolor if facecolor is not None else _v
-        _v = arg.pop("facecolorsrc", None)
-        self["facecolorsrc"] = facecolorsrc if facecolorsrc is not None else _v
-        _v = arg.pop("flatshading", None)
-        self["flatshading"] = flatshading if flatshading is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("i", None)
-        self["i"] = i if i is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("intensity", None)
-        self["intensity"] = intensity if intensity is not None else _v
-        _v = arg.pop("intensitymode", None)
-        self["intensitymode"] = intensitymode if intensitymode is not None else _v
-        _v = arg.pop("intensitysrc", None)
-        self["intensitysrc"] = intensitysrc if intensitysrc is not None else _v
-        _v = arg.pop("isrc", None)
-        self["isrc"] = isrc if isrc is not None else _v
-        _v = arg.pop("j", None)
-        self["j"] = j if j is not None else _v
-        _v = arg.pop("jsrc", None)
-        self["jsrc"] = jsrc if jsrc is not None else _v
-        _v = arg.pop("k", None)
-        self["k"] = k if k is not None else _v
-        _v = arg.pop("ksrc", None)
-        self["ksrc"] = ksrc if ksrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lighting", None)
-        self["lighting"] = lighting if lighting is not None else _v
-        _v = arg.pop("lightposition", None)
-        self["lightposition"] = lightposition if lightposition is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("vertexcolor", None)
-        self["vertexcolor"] = vertexcolor if vertexcolor is not None else _v
-        _v = arg.pop("vertexcolorsrc", None)
-        self["vertexcolorsrc"] = vertexcolorsrc if vertexcolorsrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zcalendar", None)
-        self["zcalendar"] = zcalendar if zcalendar is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "mesh3d"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="mesh3d", val="mesh3d"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Isosurface(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # caps
-    # ----
-    @property
-    def caps(self):
-        """
-        The 'caps' property is an instance of Caps
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Caps`
-          - A dict of string/value properties that will be passed
-            to the Caps constructor
-    
-            Supported dict properties:
-                
-                x
-                    :class:`plotly.graph_objects.isosurface.caps.X`
-                    instance or dict with compatible properties
-                y
-                    :class:`plotly.graph_objects.isosurface.caps.Y`
-                    instance or dict with compatible properties
-                z
-                    :class:`plotly.graph_objects.isosurface.caps.Z`
-                    instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Caps
-        """
-        return self["caps"]
-
-    @caps.setter
-    def caps(self, val):
-        self["caps"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here `value`) or the bounds set in
-        `cmin` and `cmax`  Defaults to `false` when `cmin` and `cmax`
-        are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as `value` and if set, `cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as `value`. Has no effect when `cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as `value` and if set, `cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.isosurf
-                    ace.colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.isosurface.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of isosurface.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.isosurface.colorba
-                    r.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    isosurface.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    isosurface.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # contour
-    # -------
-    @property
-    def contour(self):
-        """
-        The 'contour' property is an instance of Contour
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Contour`
-          - A dict of string/value properties that will be passed
-            to the Contour constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour lines.
-                show
-                    Sets whether or not dynamic contours are shown
-                    on hover
-                width
-                    Sets the width of the contour lines.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Contour
-        """
-        return self["contour"]
-
-    @contour.setter
-    def contour(self, val):
-        self["contour"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # flatshading
-    # -----------
-    @property
-    def flatshading(self):
-        """
-        Determines whether or not normal smoothing is applied to the
-        meshes, creating meshes with an angular, low-poly look via flat
-        reflections.
-    
-        The 'flatshading' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["flatshading"]
-
-    @flatshading.setter
-    def flatshading(self, val):
-        self["flatshading"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # isomax
-    # ------
-    @property
-    def isomax(self):
-        """
-        Sets the maximum boundary for iso-surface plot.
-    
-        The 'isomax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["isomax"]
-
-    @isomax.setter
-    def isomax(self, val):
-        self["isomax"] = val
-
-    # isomin
-    # ------
-    @property
-    def isomin(self):
-        """
-        Sets the minimum boundary for iso-surface plot.
-    
-        The 'isomin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["isomin"]
-
-    @isomin.setter
-    def isomin(self, val):
-        self["isomin"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lighting
-    # --------
-    @property
-    def lighting(self):
-        """
-        The 'lighting' property is an instance of Lighting
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Lighting`
-          - A dict of string/value properties that will be passed
-            to the Lighting constructor
-    
-            Supported dict properties:
-                
-                ambient
-                    Ambient light increases overall color
-                    visibility but can wash out the image.
-                diffuse
-                    Represents the extent that incident rays are
-                    reflected in a range of angles.
-                facenormalsepsilon
-                    Epsilon for face normals calculation avoids
-                    math issues arising from degenerate geometry.
-                fresnel
-                    Represents the reflectance as a dependency of
-                    the viewing angle; e.g. paper is reflective
-                    when viewing it from the edge of the paper
-                    (almost 90 degrees), causing shine.
-                roughness
-                    Alters specular reflection; the rougher the
-                    surface, the wider and less contrasty the
-                    shine.
-                specular
-                    Represents the level that incident rays are
-                    reflected in a single direction, causing shine.
-                vertexnormalsepsilon
-                    Epsilon for vertex normals calculation avoids
-                    math issues arising from degenerate geometry.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Lighting
-        """
-        return self["lighting"]
-
-    @lighting.setter
-    def lighting(self, val):
-        self["lighting"] = val
-
-    # lightposition
-    # -------------
-    @property
-    def lightposition(self):
-        """
-        The 'lightposition' property is an instance of Lightposition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Lightposition`
-          - A dict of string/value properties that will be passed
-            to the Lightposition constructor
-    
-            Supported dict properties:
-                
-                x
-                    Numeric vector, representing the X coordinate
-                    for each vertex.
-                y
-                    Numeric vector, representing the Y coordinate
-                    for each vertex.
-                z
-                    Numeric vector, representing the Z coordinate
-                    for each vertex.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Lightposition
-        """
-        return self["lightposition"]
-
-    @lightposition.setter
-    def lightposition(self, val):
-        self["lightposition"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the surface. Please note that in the case
-        of using high `opacity` values for example a value greater than
-        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
-        an overlay of multiple transparent surfaces may not perfectly
-        be sorted in depth by the webgl API. This behavior may be
-        improved in the near future and is subject to change.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # slices
-    # ------
-    @property
-    def slices(self):
-        """
-        The 'slices' property is an instance of Slices
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Slices`
-          - A dict of string/value properties that will be passed
-            to the Slices constructor
-    
-            Supported dict properties:
-                
-                x
-                    :class:`plotly.graph_objects.isosurface.slices.
-                    X` instance or dict with compatible properties
-                y
-                    :class:`plotly.graph_objects.isosurface.slices.
-                    Y` instance or dict with compatible properties
-                z
-                    :class:`plotly.graph_objects.isosurface.slices.
-                    Z` instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Slices
-        """
-        return self["slices"]
-
-    @slices.setter
-    def slices(self, val):
-        self["slices"] = val
-
-    # spaceframe
-    # ----------
-    @property
-    def spaceframe(self):
-        """
-        The 'spaceframe' property is an instance of Spaceframe
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Spaceframe`
-          - A dict of string/value properties that will be passed
-            to the Spaceframe constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `spaceframe`
-                    elements. The default fill value is 0.15
-                    meaning that only 15% of the area of every
-                    faces of tetras would be shaded. Applying a
-                    greater `fill` ratio would allow the creation
-                    of stronger elements or could be sued to have
-                    entirely closed areas (in case of using 1).
-                show
-                    Displays/hides tetrahedron shapes between
-                    minimum and maximum iso-values. Often useful
-                    when either caps or surfaces are disabled or
-                    filled with values less than 1.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Spaceframe
-        """
-        return self["spaceframe"]
-
-    @spaceframe.setter
-    def spaceframe(self, val):
-        self["spaceframe"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # surface
-    # -------
-    @property
-    def surface(self):
-        """
-        The 'surface' property is an instance of Surface
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.Surface`
-          - A dict of string/value properties that will be passed
-            to the Surface constructor
-    
-            Supported dict properties:
-                
-                count
-                    Sets the number of iso-surfaces between minimum
-                    and maximum iso-values. By default this value
-                    is 2 meaning that only minimum and maximum
-                    surfaces would be drawn.
-                fill
-                    Sets the fill ratio of the iso-surface. The
-                    default fill value of the surface is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                pattern
-                    Sets the surface pattern of the iso-surface 3-D
-                    sections. The default pattern of the surface is
-                    `all` meaning that the rest of surface elements
-                    would be shaded. The check options (either 1 or
-                    2) could be used to draw half of the squares on
-                    the surface. Using various combinations of
-                    capital `A`, `B`, `C`, `D` and `E` may also be
-                    used to reduce the number of triangles on the
-                    iso-surfaces and creating other patterns of
-                    interest.
-                show
-                    Hides/displays surfaces between minimum and
-                    maximum iso-values.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.Surface
-        """
-        return self["surface"]
-
-    @surface.setter
-    def surface(self, val):
-        self["surface"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with the vertices. If trace
-        `hoverinfo` contains a "text" flag and "hovertext" is not set,
-        these elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the 4th dimension (value) of the vertices.
-    
-        The 'value' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valuesrc
-    # --------
-    @property
-    def valuesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  value .
-    
-        The 'valuesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuesrc"]
-
-    @valuesrc.setter
-    def valuesrc(self, val):
-        self["valuesrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the X coordinates of the vertices on X axis.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the Y coordinates of the vertices on Y axis.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the Z coordinates of the vertices on Z axis.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        caps
-            :class:`plotly.graph_objects.isosurface.Caps` instance
-            or dict with compatible properties
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here `value`) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as `value` and if set, `cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as `value`. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as `value` and if set, `cmax` must
-            be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.isosurface.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contour
-            :class:`plotly.graph_objects.isosurface.Contour`
-            instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        flatshading
-            Determines whether or not normal smoothing is applied
-            to the meshes, creating meshes with an angular, low-
-            poly look via flat reflections.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.isosurface.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        isomax
-            Sets the maximum boundary for iso-surface plot.
-        isomin
-            Sets the minimum boundary for iso-surface plot.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.isosurface.Lighting`
-            instance or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.isosurface.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        slices
-            :class:`plotly.graph_objects.isosurface.Slices`
-            instance or dict with compatible properties
-        spaceframe
-            :class:`plotly.graph_objects.isosurface.Spaceframe`
-            instance or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.isosurface.Stream`
-            instance or dict with compatible properties
-        surface
-            :class:`plotly.graph_objects.isosurface.Surface`
-            instance or dict with compatible properties
-        text
-            Sets the text elements associated with the vertices. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        value
-            Sets the 4th dimension (value) of the vertices.
-        valuesrc
-            Sets the source reference on Chart Studio Cloud for
-            value .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the X coordinates of the vertices on X axis.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the Y coordinates of the vertices on Y axis.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the Z coordinates of the vertices on Z axis.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        caps=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        contour=None,
-        customdata=None,
-        customdatasrc=None,
-        flatshading=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        isomax=None,
-        isomin=None,
-        legendgroup=None,
-        lighting=None,
-        lightposition=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        reversescale=None,
-        scene=None,
-        showlegend=None,
-        showscale=None,
-        slices=None,
-        spaceframe=None,
-        stream=None,
-        surface=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        value=None,
-        valuesrc=None,
-        visible=None,
-        x=None,
-        xsrc=None,
-        y=None,
-        ysrc=None,
-        z=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Isosurface object
-        
-        Draws isosurfaces between iso-min and iso-max values with
-        coordinates given by four 1-dimensional arrays containing the
-        `value`, `x`, `y` and `z` of every vertex of a uniform or non-
-        uniform 3-D grid. Horizontal or vertical slices, caps as well
-        as spaceframe between iso-min and iso-max values could also be
-        drawn using this trace.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Isosurface`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        caps
-            :class:`plotly.graph_objects.isosurface.Caps` instance
-            or dict with compatible properties
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here `value`) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as `value` and if set, `cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as `value`. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as `value` and if set, `cmax` must
-            be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.isosurface.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contour
-            :class:`plotly.graph_objects.isosurface.Contour`
-            instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        flatshading
-            Determines whether or not normal smoothing is applied
-            to the meshes, creating meshes with an angular, low-
-            poly look via flat reflections.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.isosurface.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        isomax
-            Sets the maximum boundary for iso-surface plot.
-        isomin
-            Sets the minimum boundary for iso-surface plot.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.isosurface.Lighting`
-            instance or dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.isosurface.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        slices
-            :class:`plotly.graph_objects.isosurface.Slices`
-            instance or dict with compatible properties
-        spaceframe
-            :class:`plotly.graph_objects.isosurface.Spaceframe`
-            instance or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.isosurface.Stream`
-            instance or dict with compatible properties
-        surface
-            :class:`plotly.graph_objects.isosurface.Surface`
-            instance or dict with compatible properties
-        text
-            Sets the text elements associated with the vertices. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        value
-            Sets the 4th dimension (value) of the vertices.
-        valuesrc
-            Sets the source reference on Chart Studio Cloud for
-            value .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the X coordinates of the vertices on X axis.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the Y coordinates of the vertices on Y axis.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the Z coordinates of the vertices on Z axis.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Isosurface
-        """
-        super(Isosurface, self).__init__("isosurface")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Isosurface 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Isosurface`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import isosurface as v_isosurface
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_isosurface.AutocolorscaleValidator()
-        self._validators["caps"] = v_isosurface.CapsValidator()
-        self._validators["cauto"] = v_isosurface.CautoValidator()
-        self._validators["cmax"] = v_isosurface.CmaxValidator()
-        self._validators["cmid"] = v_isosurface.CmidValidator()
-        self._validators["cmin"] = v_isosurface.CminValidator()
-        self._validators["coloraxis"] = v_isosurface.ColoraxisValidator()
-        self._validators["colorbar"] = v_isosurface.ColorBarValidator()
-        self._validators["colorscale"] = v_isosurface.ColorscaleValidator()
-        self._validators["contour"] = v_isosurface.ContourValidator()
-        self._validators["customdata"] = v_isosurface.CustomdataValidator()
-        self._validators["customdatasrc"] = v_isosurface.CustomdatasrcValidator()
-        self._validators["flatshading"] = v_isosurface.FlatshadingValidator()
-        self._validators["hoverinfo"] = v_isosurface.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_isosurface.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_isosurface.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_isosurface.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_isosurface.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_isosurface.HovertextValidator()
-        self._validators["hovertextsrc"] = v_isosurface.HovertextsrcValidator()
-        self._validators["ids"] = v_isosurface.IdsValidator()
-        self._validators["idssrc"] = v_isosurface.IdssrcValidator()
-        self._validators["isomax"] = v_isosurface.IsomaxValidator()
-        self._validators["isomin"] = v_isosurface.IsominValidator()
-        self._validators["legendgroup"] = v_isosurface.LegendgroupValidator()
-        self._validators["lighting"] = v_isosurface.LightingValidator()
-        self._validators["lightposition"] = v_isosurface.LightpositionValidator()
-        self._validators["meta"] = v_isosurface.MetaValidator()
-        self._validators["metasrc"] = v_isosurface.MetasrcValidator()
-        self._validators["name"] = v_isosurface.NameValidator()
-        self._validators["opacity"] = v_isosurface.OpacityValidator()
-        self._validators["reversescale"] = v_isosurface.ReversescaleValidator()
-        self._validators["scene"] = v_isosurface.SceneValidator()
-        self._validators["showlegend"] = v_isosurface.ShowlegendValidator()
-        self._validators["showscale"] = v_isosurface.ShowscaleValidator()
-        self._validators["slices"] = v_isosurface.SlicesValidator()
-        self._validators["spaceframe"] = v_isosurface.SpaceframeValidator()
-        self._validators["stream"] = v_isosurface.StreamValidator()
-        self._validators["surface"] = v_isosurface.SurfaceValidator()
-        self._validators["text"] = v_isosurface.TextValidator()
-        self._validators["textsrc"] = v_isosurface.TextsrcValidator()
-        self._validators["uid"] = v_isosurface.UidValidator()
-        self._validators["uirevision"] = v_isosurface.UirevisionValidator()
-        self._validators["value"] = v_isosurface.ValueValidator()
-        self._validators["valuesrc"] = v_isosurface.ValuesrcValidator()
-        self._validators["visible"] = v_isosurface.VisibleValidator()
-        self._validators["x"] = v_isosurface.XValidator()
-        self._validators["xsrc"] = v_isosurface.XsrcValidator()
-        self._validators["y"] = v_isosurface.YValidator()
-        self._validators["ysrc"] = v_isosurface.YsrcValidator()
-        self._validators["z"] = v_isosurface.ZValidator()
-        self._validators["zsrc"] = v_isosurface.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("caps", None)
-        self["caps"] = caps if caps is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("contour", None)
-        self["contour"] = contour if contour is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("flatshading", None)
-        self["flatshading"] = flatshading if flatshading is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("isomax", None)
-        self["isomax"] = isomax if isomax is not None else _v
-        _v = arg.pop("isomin", None)
-        self["isomin"] = isomin if isomin is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lighting", None)
-        self["lighting"] = lighting if lighting is not None else _v
-        _v = arg.pop("lightposition", None)
-        self["lightposition"] = lightposition if lightposition is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("slices", None)
-        self["slices"] = slices if slices is not None else _v
-        _v = arg.pop("spaceframe", None)
-        self["spaceframe"] = spaceframe if spaceframe is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("surface", None)
-        self["surface"] = surface if surface is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valuesrc", None)
-        self["valuesrc"] = valuesrc if valuesrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "isosurface"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="isosurface", val="isosurface"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Indicator(_BaseTraceType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the `text` within the box.
-        Note that this attribute has no effect if an angular gauge is
-        displayed: in this case, it is always centered
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # delta
-    # -----
-    @property
-    def delta(self):
-        """
-        The 'delta' property is an instance of Delta
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.Delta`
-          - A dict of string/value properties that will be passed
-            to the Delta constructor
-    
-            Supported dict properties:
-                
-                decreasing
-                    :class:`plotly.graph_objects.indicator.delta.De
-                    creasing` instance or dict with compatible
-                    properties
-                font
-                    Set the font used to display the delta
-                increasing
-                    :class:`plotly.graph_objects.indicator.delta.In
-                    creasing` instance or dict with compatible
-                    properties
-                position
-                    Sets the position of delta with respect to the
-                    number.
-                reference
-                    Sets the reference value to compute the delta.
-                    By default, it is set to the current value.
-                relative
-                    Show relative change
-                valueformat
-                    Sets the value formatting rule using d3
-                    formatting mini-language which is similar to
-                    those of Python. See
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.Delta
-        """
-        return self["delta"]
-
-    @delta.setter
-    def delta(self, val):
-        self["delta"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this indicator
-                    trace .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this indicator trace .
-                x
-                    Sets the horizontal domain of this indicator
-                    trace (in plot fraction).
-                y
-                    Sets the vertical domain of this indicator
-                    trace (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # gauge
-    # -----
-    @property
-    def gauge(self):
-        """
-        The gauge of the Indicator plot.
-    
-        The 'gauge' property is an instance of Gauge
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.Gauge`
-          - A dict of string/value properties that will be passed
-            to the Gauge constructor
-    
-            Supported dict properties:
-                
-                axis
-                    :class:`plotly.graph_objects.indicator.gauge.Ax
-                    is` instance or dict with compatible properties
-                bar
-                    Set the appearance of the gauge's value
-                bgcolor
-                    Sets the gauge background color.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    gauge.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the gauge.
-                shape
-                    Set the shape of the gauge
-                steps
-                    A tuple of :class:`plotly.graph_objects.indicat
-                    or.gauge.Step` instances or dicts with
-                    compatible properties
-                stepdefaults
-                    When used in a template (as layout.template.dat
-                    a.indicator.gauge.stepdefaults), sets the
-                    default property values to use for elements of
-                    indicator.gauge.steps
-                threshold
-                    :class:`plotly.graph_objects.indicator.gauge.Th
-                    reshold` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.Gauge
-        """
-        return self["gauge"]
-
-    @gauge.setter
-    def gauge(self, val):
-        self["gauge"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines how the value is displayed on the graph. `number`
-        displays the value numerically in text. `delta` displays the
-        difference to a reference value in text. Finally, `gauge`
-        displays the value graphically on an axis.
-    
-        The 'mode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['number', 'delta', 'gauge'] joined with '+' characters
-            (e.g. 'number+delta')
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # number
-    # ------
-    @property
-    def number(self):
-        """
-        The 'number' property is an instance of Number
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.Number`
-          - A dict of string/value properties that will be passed
-            to the Number constructor
-    
-            Supported dict properties:
-                
-                font
-                    Set the font used to display main number
-                prefix
-                    Sets a prefix appearing before the number.
-                suffix
-                    Sets a suffix appearing next to the number.
-                valueformat
-                    Sets the value formatting rule using d3
-                    formatting mini-language which is similar to
-                    those of Python. See
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.Number
-        """
-        return self["number"]
-
-    @number.setter
-    def number(self, val):
-        self["number"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the title. It
-                    defaults to `center` except for bullet charts
-                    for which it defaults to right.
-                font
-                    Set the font used to display the title
-                text
-                    Sets the title of this indicator.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the number to be displayed.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Note that this attribute has no effect if an
-            angular gauge is displayed: in this case, it is always
-            centered
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        delta
-            :class:`plotly.graph_objects.indicator.Delta` instance
-            or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.indicator.Domain` instance
-            or dict with compatible properties
-        gauge
-            The gauge of the Indicator plot.
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines how the value is displayed on the graph.
-            `number` displays the value numerically in text.
-            `delta` displays the difference to a reference value in
-            text. Finally, `gauge` displays the value graphically
-            on an axis.
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        number
-            :class:`plotly.graph_objects.indicator.Number` instance
-            or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.indicator.Stream` instance
-            or dict with compatible properties
-        title
-            :class:`plotly.graph_objects.indicator.Title` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        value
-            Sets the number to be displayed.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        customdata=None,
-        customdatasrc=None,
-        delta=None,
-        domain=None,
-        gauge=None,
-        ids=None,
-        idssrc=None,
-        meta=None,
-        metasrc=None,
-        mode=None,
-        name=None,
-        number=None,
-        stream=None,
-        title=None,
-        uid=None,
-        uirevision=None,
-        value=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Indicator object
-        
-        An indicator is used to visualize a single `value` along with
-        some contextual information such as `steps` or a `threshold`,
-        using a combination of three visual elements: a number, a
-        delta, and/or a gauge. Deltas are taken with respect to a
-        `reference`. Gauges can be either angular or bullet (aka
-        linear) gauges.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Indicator`
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Note that this attribute has no effect if an
-            angular gauge is displayed: in this case, it is always
-            centered
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        delta
-            :class:`plotly.graph_objects.indicator.Delta` instance
-            or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.indicator.Domain` instance
-            or dict with compatible properties
-        gauge
-            The gauge of the Indicator plot.
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        mode
-            Determines how the value is displayed on the graph.
-            `number` displays the value numerically in text.
-            `delta` displays the difference to a reference value in
-            text. Finally, `gauge` displays the value graphically
-            on an axis.
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        number
-            :class:`plotly.graph_objects.indicator.Number` instance
-            or dict with compatible properties
-        stream
-            :class:`plotly.graph_objects.indicator.Stream` instance
-            or dict with compatible properties
-        title
-            :class:`plotly.graph_objects.indicator.Title` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        value
-            Sets the number to be displayed.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Indicator
-        """
-        super(Indicator, self).__init__("indicator")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Indicator 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Indicator`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import indicator as v_indicator
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_indicator.AlignValidator()
-        self._validators["customdata"] = v_indicator.CustomdataValidator()
-        self._validators["customdatasrc"] = v_indicator.CustomdatasrcValidator()
-        self._validators["delta"] = v_indicator.DeltaValidator()
-        self._validators["domain"] = v_indicator.DomainValidator()
-        self._validators["gauge"] = v_indicator.GaugeValidator()
-        self._validators["ids"] = v_indicator.IdsValidator()
-        self._validators["idssrc"] = v_indicator.IdssrcValidator()
-        self._validators["meta"] = v_indicator.MetaValidator()
-        self._validators["metasrc"] = v_indicator.MetasrcValidator()
-        self._validators["mode"] = v_indicator.ModeValidator()
-        self._validators["name"] = v_indicator.NameValidator()
-        self._validators["number"] = v_indicator.NumberValidator()
-        self._validators["stream"] = v_indicator.StreamValidator()
-        self._validators["title"] = v_indicator.TitleValidator()
-        self._validators["uid"] = v_indicator.UidValidator()
-        self._validators["uirevision"] = v_indicator.UirevisionValidator()
-        self._validators["value"] = v_indicator.ValueValidator()
-        self._validators["visible"] = v_indicator.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("delta", None)
-        self["delta"] = delta if delta is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("gauge", None)
-        self["gauge"] = gauge if gauge is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("number", None)
-        self["number"] = number if number is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "indicator"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="indicator", val="indicator"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Image(_BaseTraceType):
-
-    # colormodel
-    # ----------
-    @property
-    def colormodel(self):
-        """
-        Color model used to map the numerical color components
-        described in `z` into colors.
-    
-        The 'colormodel' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['rgb', 'rgba', 'hsl', 'hsla']
-
-        Returns
-        -------
-        Any
-        """
-        return self["colormodel"]
-
-    @colormodel.setter
-    def colormodel(self, val):
-        self["colormodel"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Set the pixel's horizontal size.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Set the pixel's vertical size
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'color', 'name', 'text'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.image.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.image.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `z`, `color` and `colormodel`. Anything contained in
-        tag `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.image.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.image.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each z value.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Set the image's x position.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Set the image's y position.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        A 2-dimensional array in which each element is an array of 3 or
-        4 numbers representing a color.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Array defining the higher bound for each color component. Note
-        that the default value will depend on the colormodel. For the
-        `rgb` colormodel, it is [255, 255, 255]. For the `rgba`
-        colormodel, it is [255, 255, 255, 1]. For the `hsl` colormodel,
-        it is [360, 100, 100]. For the `hsla` colormodel, it is [360,
-        100, 100, 1].
-    
-        The 'zmax' property is an info array that may be specified as:
-    
-        * a list or tuple of 4 elements where:
-    (0) The 'zmax[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'zmax[1]' property is a number and may be specified as:
-          - An int or float
-    (2) The 'zmax[2]' property is a number and may be specified as:
-          - An int or float
-    (3) The 'zmax[3]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Array defining the lower bound for each color component. Note
-        that the default value will depend on the colormodel. For the
-        `rgb` colormodel, it is [0, 0, 0]. For the `rgba` colormodel,
-        it is [0, 0, 0, 0]. For the `hsl` colormodel, it is [0, 0, 0].
-        For the `hsla` colormodel, it is [0, 0, 0, 0].
-    
-        The 'zmin' property is an info array that may be specified as:
-    
-        * a list or tuple of 4 elements where:
-    (0) The 'zmin[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'zmin[1]' property is a number and may be specified as:
-          - An int or float
-    (2) The 'zmin[2]' property is a number and may be specified as:
-          - An int or float
-    (3) The 'zmin[3]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        colormodel
-            Color model used to map the numerical color components
-            described in `z` into colors.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Set the pixel's horizontal size.
-        dy
-            Set the pixel's vertical size
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.image.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `z`, `color` and `colormodel`.
-            Anything contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        stream
-            :class:`plotly.graph_objects.image.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x0
-            Set the image's x position.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        y0
-            Set the image's y position.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        z
-            A 2-dimensional array in which each element is an array
-            of 3 or 4 numbers representing a color.
-        zmax
-            Array defining the higher bound for each color
-            component. Note that the default value will depend on
-            the colormodel. For the `rgb` colormodel, it is [255,
-            255, 255]. For the `rgba` colormodel, it is [255, 255,
-            255, 1]. For the `hsl` colormodel, it is [360, 100,
-            100]. For the `hsla` colormodel, it is [360, 100, 100,
-            1].
-        zmin
-            Array defining the lower bound for each color
-            component. Note that the default value will depend on
-            the colormodel. For the `rgb` colormodel, it is [0, 0,
-            0]. For the `rgba` colormodel, it is [0, 0, 0, 0]. For
-            the `hsl` colormodel, it is [0, 0, 0]. For the `hsla`
-            colormodel, it is [0, 0, 0, 0].
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        colormodel=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x0=None,
-        xaxis=None,
-        y0=None,
-        yaxis=None,
-        z=None,
-        zmax=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Image object
-        
-        Display an image, i.e. data on a 2D regular raster. By default,
-        when an image is displayed in a subplot, its y axis will be
-        reversed (ie. `autorange: 'reversed'`), constrained to the
-        domain (ie. `constrain: 'domain'`) and it will have the same
-        scale as its x axis (ie. `scaleanchor: 'x,`) in order for
-        pixels to be rendered as squares.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Image`
-        colormodel
-            Color model used to map the numerical color components
-            described in `z` into colors.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Set the pixel's horizontal size.
-        dy
-            Set the pixel's vertical size
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.image.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `z`, `color` and `colormodel`.
-            Anything contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        stream
-            :class:`plotly.graph_objects.image.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x0
-            Set the image's x position.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        y0
-            Set the image's y position.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        z
-            A 2-dimensional array in which each element is an array
-            of 3 or 4 numbers representing a color.
-        zmax
-            Array defining the higher bound for each color
-            component. Note that the default value will depend on
-            the colormodel. For the `rgb` colormodel, it is [255,
-            255, 255]. For the `rgba` colormodel, it is [255, 255,
-            255, 1]. For the `hsl` colormodel, it is [360, 100,
-            100]. For the `hsla` colormodel, it is [360, 100, 100,
-            1].
-        zmin
-            Array defining the lower bound for each color
-            component. Note that the default value will depend on
-            the colormodel. For the `rgb` colormodel, it is [0, 0,
-            0]. For the `rgba` colormodel, it is [0, 0, 0, 0]. For
-            the `hsl` colormodel, it is [0, 0, 0]. For the `hsla`
-            colormodel, it is [0, 0, 0, 0].
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Image
-        """
-        super(Image, self).__init__("image")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Image 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Image`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import image as v_image
-
-        # Initialize validators
-        # ---------------------
-        self._validators["colormodel"] = v_image.ColormodelValidator()
-        self._validators["customdata"] = v_image.CustomdataValidator()
-        self._validators["customdatasrc"] = v_image.CustomdatasrcValidator()
-        self._validators["dx"] = v_image.DxValidator()
-        self._validators["dy"] = v_image.DyValidator()
-        self._validators["hoverinfo"] = v_image.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_image.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_image.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_image.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_image.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_image.HovertextValidator()
-        self._validators["hovertextsrc"] = v_image.HovertextsrcValidator()
-        self._validators["ids"] = v_image.IdsValidator()
-        self._validators["idssrc"] = v_image.IdssrcValidator()
-        self._validators["meta"] = v_image.MetaValidator()
-        self._validators["metasrc"] = v_image.MetasrcValidator()
-        self._validators["name"] = v_image.NameValidator()
-        self._validators["opacity"] = v_image.OpacityValidator()
-        self._validators["stream"] = v_image.StreamValidator()
-        self._validators["text"] = v_image.TextValidator()
-        self._validators["textsrc"] = v_image.TextsrcValidator()
-        self._validators["uid"] = v_image.UidValidator()
-        self._validators["uirevision"] = v_image.UirevisionValidator()
-        self._validators["visible"] = v_image.VisibleValidator()
-        self._validators["x0"] = v_image.X0Validator()
-        self._validators["xaxis"] = v_image.XAxisValidator()
-        self._validators["y0"] = v_image.Y0Validator()
-        self._validators["yaxis"] = v_image.YAxisValidator()
-        self._validators["z"] = v_image.ZValidator()
-        self._validators["zmax"] = v_image.ZmaxValidator()
-        self._validators["zmin"] = v_image.ZminValidator()
-        self._validators["zsrc"] = v_image.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("colormodel", None)
-        self["colormodel"] = colormodel if colormodel is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "image"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="image", val="image"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Histogram2dContour(_BaseTraceType):
-
-    # autobinx
-    # --------
-    @property
-    def autobinx(self):
-        """
-        Obsolete: since v1.42 each bin attribute is auto-determined
-        separately and `autobinx` is not needed. However, we accept
-        `autobinx: true` or `false` and will update `xbins` accordingly
-        before deleting `autobinx` from the trace.
-    
-        The 'autobinx' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autobinx"]
-
-    @autobinx.setter
-    def autobinx(self, val):
-        self["autobinx"] = val
-
-    # autobiny
-    # --------
-    @property
-    def autobiny(self):
-        """
-        Obsolete: since v1.42 each bin attribute is auto-determined
-        separately and `autobiny` is not needed. However, we accept
-        `autobiny: true` or `false` and will update `ybins` accordingly
-        before deleting `autobiny` from the trace.
-    
-        The 'autobiny' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autobiny"]
-
-    @autobiny.setter
-    def autobiny(self, val):
-        self["autobiny"] = val
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # autocontour
-    # -----------
-    @property
-    def autocontour(self):
-        """
-        Determines whether or not the contour level attributes are
-        picked by an algorithm. If True, the number of contour levels
-        can be set in `ncontours`. If False, set the contour level
-        attributes in `contours`.
-    
-        The 'autocontour' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocontour"]
-
-    @autocontour.setter
-    def autocontour(self, val):
-        self["autocontour"] = val
-
-    # bingroup
-    # --------
-    @property
-    def bingroup(self):
-        """
-        Set the `xbingroup` and `ybingroup` default prefix For example,
-        setting a `bingroup` of 1 on two histogram2d traces will make
-        them their x-bins and y-bins match separately.
-    
-        The 'bingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["bingroup"]
-
-    @bingroup.setter
-    def bingroup(self, val):
-        self["bingroup"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.histogr
-                    am2dcontour.colorbar.Tickformatstop` instances
-                    or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.histogram2dcontour.colorbar.tickformatstopdef
-                    aults), sets the default property values to use
-                    for elements of
-                    histogram2dcontour.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.histogram2dcontour
-                    .colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    histogram2dcontour.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    histogram2dcontour.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # contours
-    # --------
-    @property
-    def contours(self):
-        """
-        The 'contours' property is an instance of Contours
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Contours`
-          - A dict of string/value properties that will be passed
-            to the Contours constructor
-    
-            Supported dict properties:
-                
-                coloring
-                    Determines the coloring method showing the
-                    contour values. If "fill", coloring is done
-                    evenly between each contour level If "heatmap",
-                    a heatmap gradient coloring is applied between
-                    each contour level. If "lines", coloring is
-                    done on the contour lines. If "none", no
-                    coloring is applied on this trace.
-                end
-                    Sets the end contour level value. Must be more
-                    than `contours.start`
-                labelfont
-                    Sets the font used for labeling the contour
-                    levels. The default color comes from the lines,
-                    if shown. The default family and size come from
-                    `layout.font`.
-                labelformat
-                    Sets the contour label formatting rule using d3
-                    formatting mini-language which is very similar
-                    to Python, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                operation
-                    Sets the constraint operation. "=" keeps
-                    regions equal to `value` "<" and "<=" keep
-                    regions less than `value` ">" and ">=" keep
-                    regions greater than `value` "[]", "()", "[)",
-                    and "(]" keep regions inside `value[0]` to
-                    `value[1]` "][", ")(", "](", ")[" keep regions
-                    outside `value[0]` to value[1]` Open vs. closed
-                    intervals make no difference to constraint
-                    display, but all versions are allowed for
-                    consistency with filter transforms.
-                showlabels
-                    Determines whether to label the contour lines
-                    with their values.
-                showlines
-                    Determines whether or not the contour lines are
-                    drawn. Has an effect only if
-                    `contours.coloring` is set to "fill".
-                size
-                    Sets the step between each contour level. Must
-                    be positive.
-                start
-                    Sets the starting contour level value. Must be
-                    less than `contours.end`
-                type
-                    If `levels`, the data is represented as a
-                    contour plot with multiple levels displayed. If
-                    `constraint`, the data is represented as
-                    constraints with the invalid region shaded as
-                    specified by the `operation` and `value`
-                    parameters.
-                value
-                    Sets the value or values of the constraint
-                    boundary. When `operation` is set to one of the
-                    comparison values (=,<,>=,>,<=) "value" is
-                    expected to be a number. When `operation` is
-                    set to one of the interval values
-                    ([],(),[),(],][,)(,](,)[) "value" is expected
-                    to be an array of two numbers where the first
-                    is the lower bound and the second is the upper
-                    bound.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.Contours
-        """
-        return self["contours"]
-
-    @contours.setter
-    def contours(self, val):
-        self["contours"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # histfunc
-    # --------
-    @property
-    def histfunc(self):
-        """
-        Specifies the binning function used for this histogram trace.
-        If "count", the histogram values are computed by counting the
-        number of values lying inside each bin. If "sum", "avg", "min",
-        "max", the histogram values are computed using the sum, the
-        average, the minimum or the maximum of the values lying inside
-        each bin respectively.
-    
-        The 'histfunc' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['count', 'sum', 'avg', 'min', 'max']
-
-        Returns
-        -------
-        Any
-        """
-        return self["histfunc"]
-
-    @histfunc.setter
-    def histfunc(self, val):
-        self["histfunc"] = val
-
-    # histnorm
-    # --------
-    @property
-    def histnorm(self):
-        """
-        Specifies the type of normalization used for this histogram
-        trace. If "", the span of each bar corresponds to the number of
-        occurrences (i.e. the number of data points lying inside the
-        bins). If "percent" / "probability", the span of each bar
-        corresponds to the percentage / fraction of occurrences with
-        respect to the total number of sample points (here, the sum of
-        all bin HEIGHTS equals 100% / 1). If "density", the span of
-        each bar corresponds to the number of occurrences in a bin
-        divided by the size of the bin interval (here, the sum of all
-        bin AREAS equals the total number of sample points). If
-        *probability density*, the area of each bar corresponds to the
-        probability that an event will fall into the corresponding bin
-        (here, the sum of all bin AREAS equals 1).
-    
-        The 'histnorm' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['', 'percent', 'probability', 'density', 'probability
-                density']
-
-        Returns
-        -------
-        Any
-        """
-        return self["histnorm"]
-
-    @histnorm.setter
-    def histnorm(self, val):
-        self["histnorm"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variable `z` Anything contained in tag `<extra>` is displayed
-        in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour level. Has no
-                    effect if `contours.coloring` is set to
-                    "lines".
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                smoothing
-                    Sets the amount of smoothing for the contour
-                    lines, where 0 corresponds to no smoothing.
-                width
-                    Sets the contour line width in (in px)
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the aggregation data.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # nbinsx
-    # ------
-    @property
-    def nbinsx(self):
-        """
-        Specifies the maximum number of desired bins. This value will
-        be used in an algorithm that will decide the optimal bin size
-        such that the histogram best visualizes the distribution of the
-        data. Ignored if `xbins.size` is provided.
-    
-        The 'nbinsx' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nbinsx"]
-
-    @nbinsx.setter
-    def nbinsx(self, val):
-        self["nbinsx"] = val
-
-    # nbinsy
-    # ------
-    @property
-    def nbinsy(self):
-        """
-        Specifies the maximum number of desired bins. This value will
-        be used in an algorithm that will decide the optimal bin size
-        such that the histogram best visualizes the distribution of the
-        data. Ignored if `ybins.size` is provided.
-    
-        The 'nbinsy' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nbinsy"]
-
-    @nbinsy.setter
-    def nbinsy(self, val):
-        self["nbinsy"] = val
-
-    # ncontours
-    # ---------
-    @property
-    def ncontours(self):
-        """
-        Sets the maximum number of contour levels. The actual number of
-        contours will be chosen automatically to be less than or equal
-        to the value of `ncontours`. Has an effect only if
-        `autocontour` is True or if `contours.size` is missing.
-    
-        The 'ncontours' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["ncontours"]
-
-    @ncontours.setter
-    def ncontours(self, val):
-        self["ncontours"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the sample data to be binned on the x axis.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xbingroup
-    # ---------
-    @property
-    def xbingroup(self):
-        """
-        Set a group of histogram traces which will have compatible
-        x-bin settings. Using `xbingroup`, histogram2d and
-        histogram2dcontour traces  (on axes of the same axis type) can
-        have compatible x-bin settings. Note that the same `xbingroup`
-        value can be used to set (1D) histogram `bingroup`
-    
-        The 'xbingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["xbingroup"]
-
-    @xbingroup.setter
-    def xbingroup(self, val):
-        self["xbingroup"] = val
-
-    # xbins
-    # -----
-    @property
-    def xbins(self):
-        """
-        The 'xbins' property is an instance of XBins
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.XBins`
-          - A dict of string/value properties that will be passed
-            to the XBins constructor
-    
-            Supported dict properties:
-                
-                end
-                    Sets the end value for the x axis bins. The
-                    last bin may not end exactly at this value, we
-                    increment the bin edge by `size` from `start`
-                    until we reach or exceed `end`. Defaults to the
-                    maximum data value. Like `start`, for dates use
-                    a date string, and for category data `end` is
-                    based on the category serial numbers.
-                size
-                    Sets the size of each x axis bin. Default
-                    behavior: If `nbinsx` is 0 or omitted, we
-                    choose a nice round bin size such that the
-                    number of bins is about the same as the typical
-                    number of samples in each bin. If `nbinsx` is
-                    provided, we choose a nice round bin size
-                    giving no more than that many bins. For date
-                    data, use milliseconds or "M<n>" for months, as
-                    in `axis.dtick`. For category data, the number
-                    of categories to bin together (always defaults
-                    to 1).
-                start
-                    Sets the starting value for the x axis bins.
-                    Defaults to the minimum data value, shifted
-                    down if necessary to make nice round values and
-                    to remove ambiguous bin edges. For example, if
-                    most of the data is integers we shift the bin
-                    edges 0.5 down, so a `size` of 5 would have a
-                    default `start` of -0.5, so it is clear that
-                    0-4 are in the first bin, 5-9 in the second,
-                    but continuous data gets a start of 0 and bins
-                    [0,5), [5,10) etc. Dates behave similarly, and
-                    `start` should be a date string. For category
-                    data, `start` is based on the category serial
-                    numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.XBins
-        """
-        return self["xbins"]
-
-    @xbins.setter
-    def xbins(self, val):
-        self["xbins"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the sample data to be binned on the y axis.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ybingroup
-    # ---------
-    @property
-    def ybingroup(self):
-        """
-        Set a group of histogram traces which will have compatible
-        y-bin settings. Using `ybingroup`, histogram2d and
-        histogram2dcontour traces  (on axes of the same axis type) can
-        have compatible y-bin settings. Note that the same `ybingroup`
-        value can be used to set (1D) histogram `bingroup`
-    
-        The 'ybingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ybingroup"]
-
-    @ybingroup.setter
-    def ybingroup(self, val):
-        self["ybingroup"] = val
-
-    # ybins
-    # -----
-    @property
-    def ybins(self):
-        """
-        The 'ybins' property is an instance of YBins
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.YBins`
-          - A dict of string/value properties that will be passed
-            to the YBins constructor
-    
-            Supported dict properties:
-                
-                end
-                    Sets the end value for the y axis bins. The
-                    last bin may not end exactly at this value, we
-                    increment the bin edge by `size` from `start`
-                    until we reach or exceed `end`. Defaults to the
-                    maximum data value. Like `start`, for dates use
-                    a date string, and for category data `end` is
-                    based on the category serial numbers.
-                size
-                    Sets the size of each y axis bin. Default
-                    behavior: If `nbinsy` is 0 or omitted, we
-                    choose a nice round bin size such that the
-                    number of bins is about the same as the typical
-                    number of samples in each bin. If `nbinsy` is
-                    provided, we choose a nice round bin size
-                    giving no more than that many bins. For date
-                    data, use milliseconds or "M<n>" for months, as
-                    in `axis.dtick`. For category data, the number
-                    of categories to bin together (always defaults
-                    to 1).
-                start
-                    Sets the starting value for the y axis bins.
-                    Defaults to the minimum data value, shifted
-                    down if necessary to make nice round values and
-                    to remove ambiguous bin edges. For example, if
-                    most of the data is integers we shift the bin
-                    edges 0.5 down, so a `size` of 5 would have a
-                    default `start` of -0.5, so it is clear that
-                    0-4 are in the first bin, 5-9 in the second,
-                    but continuous data gets a start of 0 and bins
-                    [0,5), [5,10) etc. Dates behave similarly, and
-                    `start` should be a date string. For category
-                    data, `start` is based on the category serial
-                    numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.YBins
-        """
-        return self["ybins"]
-
-    @ybins.setter
-    def ybins(self, val):
-        self["ybins"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the aggregation data.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zhoverformat
-    # ------------
-    @property
-    def zhoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. See:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'zhoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["zhoverformat"]
-
-    @zhoverformat.setter
-    def zhoverformat(self, val):
-        self["zhoverformat"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autobinx
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobinx` is not needed.
-            However, we accept `autobinx: true` or `false` and will
-            update `xbins` accordingly before deleting `autobinx`
-            from the trace.
-        autobiny
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobiny` is not needed.
-            However, we accept `autobiny: true` or `false` and will
-            update `ybins` accordingly before deleting `autobiny`
-            from the trace.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        autocontour
-            Determines whether or not the contour level attributes
-            are picked by an algorithm. If True, the number of
-            contour levels can be set in `ncontours`. If False, set
-            the contour level attributes in `contours`.
-        bingroup
-            Set the `xbingroup` and `ybingroup` default prefix For
-            example, setting a `bingroup` of 1 on two histogram2d
-            traces will make them their x-bins and y-bins match
-            separately.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.histogram2dcontour.ColorBa
-            r` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contours
-            :class:`plotly.graph_objects.histogram2dcontour.Contour
-            s` instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        histfunc
-            Specifies the binning function used for this histogram
-            trace. If "count", the histogram values are computed by
-            counting the number of values lying inside each bin. If
-            "sum", "avg", "min", "max", the histogram values are
-            computed using the sum, the average, the minimum or the
-            maximum of the values lying inside each bin
-            respectively.
-        histnorm
-            Specifies the type of normalization used for this
-            histogram trace. If "", the span of each bar
-            corresponds to the number of occurrences (i.e. the
-            number of data points lying inside the bins). If
-            "percent" / "probability", the span of each bar
-            corresponds to the percentage / fraction of occurrences
-            with respect to the total number of sample points
-            (here, the sum of all bin HEIGHTS equals 100% / 1). If
-            "density", the span of each bar corresponds to the
-            number of occurrences in a bin divided by the size of
-            the bin interval (here, the sum of all bin AREAS equals
-            the total number of sample points). If *probability
-            density*, the area of each bar corresponds to the
-            probability that an event will fall into the
-            corresponding bin (here, the sum of all bin AREAS
-            equals 1).
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.histogram2dcontour.Hoverla
-            bel` instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `z` Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.histogram2dcontour.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.histogram2dcontour.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        nbinsx
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `xbins.size` is provided.
-        nbinsy
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `ybins.size` is provided.
-        ncontours
-            Sets the maximum number of contour levels. The actual
-            number of contours will be chosen automatically to be
-            less than or equal to the value of `ncontours`. Has an
-            effect only if `autocontour` is True or if
-            `contours.size` is missing.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.histogram2dcontour.Stream`
-            instance or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the sample data to be binned on the x axis.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbingroup
-            Set a group of histogram traces which will have
-            compatible x-bin settings. Using `xbingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible x-bin settings.
-            Note that the same `xbingroup` value can be used to set
-            (1D) histogram `bingroup`
-        xbins
-            :class:`plotly.graph_objects.histogram2dcontour.XBins`
-            instance or dict with compatible properties
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the sample data to be binned on the y axis.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybingroup
-            Set a group of histogram traces which will have
-            compatible y-bin settings. Using `ybingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible y-bin settings.
-            Note that the same `ybingroup` value can be used to set
-            (1D) histogram `bingroup`
-        ybins
-            :class:`plotly.graph_objects.histogram2dcontour.YBins`
-            instance or dict with compatible properties
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the aggregation data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autobinx=None,
-        autobiny=None,
-        autocolorscale=None,
-        autocontour=None,
-        bingroup=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        contours=None,
-        customdata=None,
-        customdatasrc=None,
-        histfunc=None,
-        histnorm=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        nbinsx=None,
-        nbinsy=None,
-        ncontours=None,
-        opacity=None,
-        reversescale=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xaxis=None,
-        xbingroup=None,
-        xbins=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        yaxis=None,
-        ybingroup=None,
-        ybins=None,
-        ycalendar=None,
-        ysrc=None,
-        z=None,
-        zauto=None,
-        zhoverformat=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Histogram2dContour object
-        
-        The sample data from which statistics are computed is set in
-        `x` and `y` (where `x` and `y` represent marginal
-        distributions, binning is set in `xbins` and `ybins` in this
-        case) or `z` (where `z` represent the 2D distribution and
-        binning set, binning is set by `x` and `y` in this case). The
-        resulting distribution is visualized as a contour plot.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.Histogram2dContour`
-        autobinx
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobinx` is not needed.
-            However, we accept `autobinx: true` or `false` and will
-            update `xbins` accordingly before deleting `autobinx`
-            from the trace.
-        autobiny
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobiny` is not needed.
-            However, we accept `autobiny: true` or `false` and will
-            update `ybins` accordingly before deleting `autobiny`
-            from the trace.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        autocontour
-            Determines whether or not the contour level attributes
-            are picked by an algorithm. If True, the number of
-            contour levels can be set in `ncontours`. If False, set
-            the contour level attributes in `contours`.
-        bingroup
-            Set the `xbingroup` and `ybingroup` default prefix For
-            example, setting a `bingroup` of 1 on two histogram2d
-            traces will make them their x-bins and y-bins match
-            separately.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.histogram2dcontour.ColorBa
-            r` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contours
-            :class:`plotly.graph_objects.histogram2dcontour.Contour
-            s` instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        histfunc
-            Specifies the binning function used for this histogram
-            trace. If "count", the histogram values are computed by
-            counting the number of values lying inside each bin. If
-            "sum", "avg", "min", "max", the histogram values are
-            computed using the sum, the average, the minimum or the
-            maximum of the values lying inside each bin
-            respectively.
-        histnorm
-            Specifies the type of normalization used for this
-            histogram trace. If "", the span of each bar
-            corresponds to the number of occurrences (i.e. the
-            number of data points lying inside the bins). If
-            "percent" / "probability", the span of each bar
-            corresponds to the percentage / fraction of occurrences
-            with respect to the total number of sample points
-            (here, the sum of all bin HEIGHTS equals 100% / 1). If
-            "density", the span of each bar corresponds to the
-            number of occurrences in a bin divided by the size of
-            the bin interval (here, the sum of all bin AREAS equals
-            the total number of sample points). If *probability
-            density*, the area of each bar corresponds to the
-            probability that an event will fall into the
-            corresponding bin (here, the sum of all bin AREAS
-            equals 1).
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.histogram2dcontour.Hoverla
-            bel` instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `z` Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.histogram2dcontour.Line`
-            instance or dict with compatible properties
-        marker
-            :class:`plotly.graph_objects.histogram2dcontour.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        nbinsx
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `xbins.size` is provided.
-        nbinsy
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `ybins.size` is provided.
-        ncontours
-            Sets the maximum number of contour levels. The actual
-            number of contours will be chosen automatically to be
-            less than or equal to the value of `ncontours`. Has an
-            effect only if `autocontour` is True or if
-            `contours.size` is missing.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.histogram2dcontour.Stream`
-            instance or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the sample data to be binned on the x axis.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbingroup
-            Set a group of histogram traces which will have
-            compatible x-bin settings. Using `xbingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible x-bin settings.
-            Note that the same `xbingroup` value can be used to set
-            (1D) histogram `bingroup`
-        xbins
-            :class:`plotly.graph_objects.histogram2dcontour.XBins`
-            instance or dict with compatible properties
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the sample data to be binned on the y axis.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybingroup
-            Set a group of histogram traces which will have
-            compatible y-bin settings. Using `ybingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible y-bin settings.
-            Note that the same `ybingroup` value can be used to set
-            (1D) histogram `bingroup`
-        ybins
-            :class:`plotly.graph_objects.histogram2dcontour.YBins`
-            instance or dict with compatible properties
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the aggregation data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Histogram2dContour
-        """
-        super(Histogram2dContour, self).__init__("histogram2dcontour")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Histogram2dContour 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Histogram2dContour`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import histogram2dcontour as v_histogram2dcontour
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autobinx"] = v_histogram2dcontour.AutobinxValidator()
-        self._validators["autobiny"] = v_histogram2dcontour.AutobinyValidator()
-        self._validators[
-            "autocolorscale"
-        ] = v_histogram2dcontour.AutocolorscaleValidator()
-        self._validators["autocontour"] = v_histogram2dcontour.AutocontourValidator()
-        self._validators["bingroup"] = v_histogram2dcontour.BingroupValidator()
-        self._validators["coloraxis"] = v_histogram2dcontour.ColoraxisValidator()
-        self._validators["colorbar"] = v_histogram2dcontour.ColorBarValidator()
-        self._validators["colorscale"] = v_histogram2dcontour.ColorscaleValidator()
-        self._validators["contours"] = v_histogram2dcontour.ContoursValidator()
-        self._validators["customdata"] = v_histogram2dcontour.CustomdataValidator()
-        self._validators[
-            "customdatasrc"
-        ] = v_histogram2dcontour.CustomdatasrcValidator()
-        self._validators["histfunc"] = v_histogram2dcontour.HistfuncValidator()
-        self._validators["histnorm"] = v_histogram2dcontour.HistnormValidator()
-        self._validators["hoverinfo"] = v_histogram2dcontour.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_histogram2dcontour.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_histogram2dcontour.HoverlabelValidator()
-        self._validators[
-            "hovertemplate"
-        ] = v_histogram2dcontour.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_histogram2dcontour.HovertemplatesrcValidator()
-        self._validators["ids"] = v_histogram2dcontour.IdsValidator()
-        self._validators["idssrc"] = v_histogram2dcontour.IdssrcValidator()
-        self._validators["legendgroup"] = v_histogram2dcontour.LegendgroupValidator()
-        self._validators["line"] = v_histogram2dcontour.LineValidator()
-        self._validators["marker"] = v_histogram2dcontour.MarkerValidator()
-        self._validators["meta"] = v_histogram2dcontour.MetaValidator()
-        self._validators["metasrc"] = v_histogram2dcontour.MetasrcValidator()
-        self._validators["name"] = v_histogram2dcontour.NameValidator()
-        self._validators["nbinsx"] = v_histogram2dcontour.NbinsxValidator()
-        self._validators["nbinsy"] = v_histogram2dcontour.NbinsyValidator()
-        self._validators["ncontours"] = v_histogram2dcontour.NcontoursValidator()
-        self._validators["opacity"] = v_histogram2dcontour.OpacityValidator()
-        self._validators["reversescale"] = v_histogram2dcontour.ReversescaleValidator()
-        self._validators["showlegend"] = v_histogram2dcontour.ShowlegendValidator()
-        self._validators["showscale"] = v_histogram2dcontour.ShowscaleValidator()
-        self._validators["stream"] = v_histogram2dcontour.StreamValidator()
-        self._validators["uid"] = v_histogram2dcontour.UidValidator()
-        self._validators["uirevision"] = v_histogram2dcontour.UirevisionValidator()
-        self._validators["visible"] = v_histogram2dcontour.VisibleValidator()
-        self._validators["x"] = v_histogram2dcontour.XValidator()
-        self._validators["xaxis"] = v_histogram2dcontour.XAxisValidator()
-        self._validators["xbingroup"] = v_histogram2dcontour.XbingroupValidator()
-        self._validators["xbins"] = v_histogram2dcontour.XBinsValidator()
-        self._validators["xcalendar"] = v_histogram2dcontour.XcalendarValidator()
-        self._validators["xsrc"] = v_histogram2dcontour.XsrcValidator()
-        self._validators["y"] = v_histogram2dcontour.YValidator()
-        self._validators["yaxis"] = v_histogram2dcontour.YAxisValidator()
-        self._validators["ybingroup"] = v_histogram2dcontour.YbingroupValidator()
-        self._validators["ybins"] = v_histogram2dcontour.YBinsValidator()
-        self._validators["ycalendar"] = v_histogram2dcontour.YcalendarValidator()
-        self._validators["ysrc"] = v_histogram2dcontour.YsrcValidator()
-        self._validators["z"] = v_histogram2dcontour.ZValidator()
-        self._validators["zauto"] = v_histogram2dcontour.ZautoValidator()
-        self._validators["zhoverformat"] = v_histogram2dcontour.ZhoverformatValidator()
-        self._validators["zmax"] = v_histogram2dcontour.ZmaxValidator()
-        self._validators["zmid"] = v_histogram2dcontour.ZmidValidator()
-        self._validators["zmin"] = v_histogram2dcontour.ZminValidator()
-        self._validators["zsrc"] = v_histogram2dcontour.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autobinx", None)
-        self["autobinx"] = autobinx if autobinx is not None else _v
-        _v = arg.pop("autobiny", None)
-        self["autobiny"] = autobiny if autobiny is not None else _v
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("autocontour", None)
-        self["autocontour"] = autocontour if autocontour is not None else _v
-        _v = arg.pop("bingroup", None)
-        self["bingroup"] = bingroup if bingroup is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("contours", None)
-        self["contours"] = contours if contours is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("histfunc", None)
-        self["histfunc"] = histfunc if histfunc is not None else _v
-        _v = arg.pop("histnorm", None)
-        self["histnorm"] = histnorm if histnorm is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("nbinsx", None)
-        self["nbinsx"] = nbinsx if nbinsx is not None else _v
-        _v = arg.pop("nbinsy", None)
-        self["nbinsy"] = nbinsy if nbinsy is not None else _v
-        _v = arg.pop("ncontours", None)
-        self["ncontours"] = ncontours if ncontours is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xbingroup", None)
-        self["xbingroup"] = xbingroup if xbingroup is not None else _v
-        _v = arg.pop("xbins", None)
-        self["xbins"] = xbins if xbins is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ybingroup", None)
-        self["ybingroup"] = ybingroup if ybingroup is not None else _v
-        _v = arg.pop("ybins", None)
-        self["ybins"] = ybins if ybins is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zhoverformat", None)
-        self["zhoverformat"] = zhoverformat if zhoverformat is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "histogram2dcontour"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type",
-            parent_name="histogram2dcontour",
-            val="histogram2dcontour",
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Histogram2d(_BaseTraceType):
-
-    # autobinx
-    # --------
-    @property
-    def autobinx(self):
-        """
-        Obsolete: since v1.42 each bin attribute is auto-determined
-        separately and `autobinx` is not needed. However, we accept
-        `autobinx: true` or `false` and will update `xbins` accordingly
-        before deleting `autobinx` from the trace.
-    
-        The 'autobinx' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autobinx"]
-
-    @autobinx.setter
-    def autobinx(self, val):
-        self["autobinx"] = val
-
-    # autobiny
-    # --------
-    @property
-    def autobiny(self):
-        """
-        Obsolete: since v1.42 each bin attribute is auto-determined
-        separately and `autobiny` is not needed. However, we accept
-        `autobiny: true` or `false` and will update `ybins` accordingly
-        before deleting `autobiny` from the trace.
-    
-        The 'autobiny' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autobiny"]
-
-    @autobiny.setter
-    def autobiny(self, val):
-        self["autobiny"] = val
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # bingroup
-    # --------
-    @property
-    def bingroup(self):
-        """
-        Set the `xbingroup` and `ybingroup` default prefix For example,
-        setting a `bingroup` of 1 on two histogram2d traces will make
-        them their x-bins and y-bins match separately.
-    
-        The 'bingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["bingroup"]
-
-    @bingroup.setter
-    def bingroup(self, val):
-        self["bingroup"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.histogr
-                    am2d.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.histogram2d.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of
-                    histogram2d.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.histogram2d.colorb
-                    ar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    histogram2d.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    histogram2d.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # histfunc
-    # --------
-    @property
-    def histfunc(self):
-        """
-        Specifies the binning function used for this histogram trace.
-        If "count", the histogram values are computed by counting the
-        number of values lying inside each bin. If "sum", "avg", "min",
-        "max", the histogram values are computed using the sum, the
-        average, the minimum or the maximum of the values lying inside
-        each bin respectively.
-    
-        The 'histfunc' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['count', 'sum', 'avg', 'min', 'max']
-
-        Returns
-        -------
-        Any
-        """
-        return self["histfunc"]
-
-    @histfunc.setter
-    def histfunc(self, val):
-        self["histfunc"] = val
-
-    # histnorm
-    # --------
-    @property
-    def histnorm(self):
-        """
-        Specifies the type of normalization used for this histogram
-        trace. If "", the span of each bar corresponds to the number of
-        occurrences (i.e. the number of data points lying inside the
-        bins). If "percent" / "probability", the span of each bar
-        corresponds to the percentage / fraction of occurrences with
-        respect to the total number of sample points (here, the sum of
-        all bin HEIGHTS equals 100% / 1). If "density", the span of
-        each bar corresponds to the number of occurrences in a bin
-        divided by the size of the bin interval (here, the sum of all
-        bin AREAS equals the total number of sample points). If
-        *probability density*, the area of each bar corresponds to the
-        probability that an event will fall into the corresponding bin
-        (here, the sum of all bin AREAS equals 1).
-    
-        The 'histnorm' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['', 'percent', 'probability', 'density', 'probability
-                density']
-
-        Returns
-        -------
-        Any
-        """
-        return self["histnorm"]
-
-    @histnorm.setter
-    def histnorm(self, val):
-        self["histnorm"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variable `z` Anything contained in tag `<extra>` is displayed
-        in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the aggregation data.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # nbinsx
-    # ------
-    @property
-    def nbinsx(self):
-        """
-        Specifies the maximum number of desired bins. This value will
-        be used in an algorithm that will decide the optimal bin size
-        such that the histogram best visualizes the distribution of the
-        data. Ignored if `xbins.size` is provided.
-    
-        The 'nbinsx' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nbinsx"]
-
-    @nbinsx.setter
-    def nbinsx(self, val):
-        self["nbinsx"] = val
-
-    # nbinsy
-    # ------
-    @property
-    def nbinsy(self):
-        """
-        Specifies the maximum number of desired bins. This value will
-        be used in an algorithm that will decide the optimal bin size
-        such that the histogram best visualizes the distribution of the
-        data. Ignored if `ybins.size` is provided.
-    
-        The 'nbinsy' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nbinsy"]
-
-    @nbinsy.setter
-    def nbinsy(self, val):
-        self["nbinsy"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the sample data to be binned on the x axis.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xbingroup
-    # ---------
-    @property
-    def xbingroup(self):
-        """
-        Set a group of histogram traces which will have compatible
-        x-bin settings. Using `xbingroup`, histogram2d and
-        histogram2dcontour traces  (on axes of the same axis type) can
-        have compatible x-bin settings. Note that the same `xbingroup`
-        value can be used to set (1D) histogram `bingroup`
-    
-        The 'xbingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["xbingroup"]
-
-    @xbingroup.setter
-    def xbingroup(self, val):
-        self["xbingroup"] = val
-
-    # xbins
-    # -----
-    @property
-    def xbins(self):
-        """
-        The 'xbins' property is an instance of XBins
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.XBins`
-          - A dict of string/value properties that will be passed
-            to the XBins constructor
-    
-            Supported dict properties:
-                
-                end
-                    Sets the end value for the x axis bins. The
-                    last bin may not end exactly at this value, we
-                    increment the bin edge by `size` from `start`
-                    until we reach or exceed `end`. Defaults to the
-                    maximum data value. Like `start`, for dates use
-                    a date string, and for category data `end` is
-                    based on the category serial numbers.
-                size
-                    Sets the size of each x axis bin. Default
-                    behavior: If `nbinsx` is 0 or omitted, we
-                    choose a nice round bin size such that the
-                    number of bins is about the same as the typical
-                    number of samples in each bin. If `nbinsx` is
-                    provided, we choose a nice round bin size
-                    giving no more than that many bins. For date
-                    data, use milliseconds or "M<n>" for months, as
-                    in `axis.dtick`. For category data, the number
-                    of categories to bin together (always defaults
-                    to 1).
-                start
-                    Sets the starting value for the x axis bins.
-                    Defaults to the minimum data value, shifted
-                    down if necessary to make nice round values and
-                    to remove ambiguous bin edges. For example, if
-                    most of the data is integers we shift the bin
-                    edges 0.5 down, so a `size` of 5 would have a
-                    default `start` of -0.5, so it is clear that
-                    0-4 are in the first bin, 5-9 in the second,
-                    but continuous data gets a start of 0 and bins
-                    [0,5), [5,10) etc. Dates behave similarly, and
-                    `start` should be a date string. For category
-                    data, `start` is based on the category serial
-                    numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.XBins
-        """
-        return self["xbins"]
-
-    @xbins.setter
-    def xbins(self, val):
-        self["xbins"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xgap
-    # ----
-    @property
-    def xgap(self):
-        """
-        Sets the horizontal gap (in pixels) between bricks.
-    
-        The 'xgap' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xgap"]
-
-    @xgap.setter
-    def xgap(self, val):
-        self["xgap"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the sample data to be binned on the y axis.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ybingroup
-    # ---------
-    @property
-    def ybingroup(self):
-        """
-        Set a group of histogram traces which will have compatible
-        y-bin settings. Using `ybingroup`, histogram2d and
-        histogram2dcontour traces  (on axes of the same axis type) can
-        have compatible y-bin settings. Note that the same `ybingroup`
-        value can be used to set (1D) histogram `bingroup`
-    
-        The 'ybingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ybingroup"]
-
-    @ybingroup.setter
-    def ybingroup(self, val):
-        self["ybingroup"] = val
-
-    # ybins
-    # -----
-    @property
-    def ybins(self):
-        """
-        The 'ybins' property is an instance of YBins
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.YBins`
-          - A dict of string/value properties that will be passed
-            to the YBins constructor
-    
-            Supported dict properties:
-                
-                end
-                    Sets the end value for the y axis bins. The
-                    last bin may not end exactly at this value, we
-                    increment the bin edge by `size` from `start`
-                    until we reach or exceed `end`. Defaults to the
-                    maximum data value. Like `start`, for dates use
-                    a date string, and for category data `end` is
-                    based on the category serial numbers.
-                size
-                    Sets the size of each y axis bin. Default
-                    behavior: If `nbinsy` is 0 or omitted, we
-                    choose a nice round bin size such that the
-                    number of bins is about the same as the typical
-                    number of samples in each bin. If `nbinsy` is
-                    provided, we choose a nice round bin size
-                    giving no more than that many bins. For date
-                    data, use milliseconds or "M<n>" for months, as
-                    in `axis.dtick`. For category data, the number
-                    of categories to bin together (always defaults
-                    to 1).
-                start
-                    Sets the starting value for the y axis bins.
-                    Defaults to the minimum data value, shifted
-                    down if necessary to make nice round values and
-                    to remove ambiguous bin edges. For example, if
-                    most of the data is integers we shift the bin
-                    edges 0.5 down, so a `size` of 5 would have a
-                    default `start` of -0.5, so it is clear that
-                    0-4 are in the first bin, 5-9 in the second,
-                    but continuous data gets a start of 0 and bins
-                    [0,5), [5,10) etc. Dates behave similarly, and
-                    `start` should be a date string. For category
-                    data, `start` is based on the category serial
-                    numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.YBins
-        """
-        return self["ybins"]
-
-    @ybins.setter
-    def ybins(self, val):
-        self["ybins"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ygap
-    # ----
-    @property
-    def ygap(self):
-        """
-        Sets the vertical gap (in pixels) between bricks.
-    
-        The 'ygap' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ygap"]
-
-    @ygap.setter
-    def ygap(self, val):
-        self["ygap"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the aggregation data.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zhoverformat
-    # ------------
-    @property
-    def zhoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. See:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'zhoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["zhoverformat"]
-
-    @zhoverformat.setter
-    def zhoverformat(self, val):
-        self["zhoverformat"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsmooth
-    # -------
-    @property
-    def zsmooth(self):
-        """
-        Picks a smoothing algorithm use to smooth `z` data.
-    
-        The 'zsmooth' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fast', 'best', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["zsmooth"]
-
-    @zsmooth.setter
-    def zsmooth(self, val):
-        self["zsmooth"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autobinx
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobinx` is not needed.
-            However, we accept `autobinx: true` or `false` and will
-            update `xbins` accordingly before deleting `autobinx`
-            from the trace.
-        autobiny
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobiny` is not needed.
-            However, we accept `autobiny: true` or `false` and will
-            update `ybins` accordingly before deleting `autobiny`
-            from the trace.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        bingroup
-            Set the `xbingroup` and `ybingroup` default prefix For
-            example, setting a `bingroup` of 1 on two histogram2d
-            traces will make them their x-bins and y-bins match
-            separately.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.histogram2d.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        histfunc
-            Specifies the binning function used for this histogram
-            trace. If "count", the histogram values are computed by
-            counting the number of values lying inside each bin. If
-            "sum", "avg", "min", "max", the histogram values are
-            computed using the sum, the average, the minimum or the
-            maximum of the values lying inside each bin
-            respectively.
-        histnorm
-            Specifies the type of normalization used for this
-            histogram trace. If "", the span of each bar
-            corresponds to the number of occurrences (i.e. the
-            number of data points lying inside the bins). If
-            "percent" / "probability", the span of each bar
-            corresponds to the percentage / fraction of occurrences
-            with respect to the total number of sample points
-            (here, the sum of all bin HEIGHTS equals 100% / 1). If
-            "density", the span of each bar corresponds to the
-            number of occurrences in a bin divided by the size of
-            the bin interval (here, the sum of all bin AREAS equals
-            the total number of sample points). If *probability
-            density*, the area of each bar corresponds to the
-            probability that an event will fall into the
-            corresponding bin (here, the sum of all bin AREAS
-            equals 1).
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.histogram2d.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `z` Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.histogram2d.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        nbinsx
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `xbins.size` is provided.
-        nbinsy
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `ybins.size` is provided.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.histogram2d.Stream`
-            instance or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the sample data to be binned on the x axis.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbingroup
-            Set a group of histogram traces which will have
-            compatible x-bin settings. Using `xbingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible x-bin settings.
-            Note that the same `xbingroup` value can be used to set
-            (1D) histogram `bingroup`
-        xbins
-            :class:`plotly.graph_objects.histogram2d.XBins`
-            instance or dict with compatible properties
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xgap
-            Sets the horizontal gap (in pixels) between bricks.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the sample data to be binned on the y axis.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybingroup
-            Set a group of histogram traces which will have
-            compatible y-bin settings. Using `ybingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible y-bin settings.
-            Note that the same `ybingroup` value can be used to set
-            (1D) histogram `bingroup`
-        ybins
-            :class:`plotly.graph_objects.histogram2d.YBins`
-            instance or dict with compatible properties
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ygap
-            Sets the vertical gap (in pixels) between bricks.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the aggregation data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsmooth
-            Picks a smoothing algorithm use to smooth `z` data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autobinx=None,
-        autobiny=None,
-        autocolorscale=None,
-        bingroup=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        histfunc=None,
-        histnorm=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        nbinsx=None,
-        nbinsy=None,
-        opacity=None,
-        reversescale=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xaxis=None,
-        xbingroup=None,
-        xbins=None,
-        xcalendar=None,
-        xgap=None,
-        xsrc=None,
-        y=None,
-        yaxis=None,
-        ybingroup=None,
-        ybins=None,
-        ycalendar=None,
-        ygap=None,
-        ysrc=None,
-        z=None,
-        zauto=None,
-        zhoverformat=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsmooth=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Histogram2d object
-        
-        The sample data from which statistics are computed is set in
-        `x` and `y` (where `x` and `y` represent marginal
-        distributions, binning is set in `xbins` and `ybins` in this
-        case) or `z` (where `z` represent the 2D distribution and
-        binning set, binning is set by `x` and `y` in this case). The
-        resulting distribution is visualized as a heatmap.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Histogram2d`
-        autobinx
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobinx` is not needed.
-            However, we accept `autobinx: true` or `false` and will
-            update `xbins` accordingly before deleting `autobinx`
-            from the trace.
-        autobiny
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobiny` is not needed.
-            However, we accept `autobiny: true` or `false` and will
-            update `ybins` accordingly before deleting `autobiny`
-            from the trace.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        bingroup
-            Set the `xbingroup` and `ybingroup` default prefix For
-            example, setting a `bingroup` of 1 on two histogram2d
-            traces will make them their x-bins and y-bins match
-            separately.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.histogram2d.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        histfunc
-            Specifies the binning function used for this histogram
-            trace. If "count", the histogram values are computed by
-            counting the number of values lying inside each bin. If
-            "sum", "avg", "min", "max", the histogram values are
-            computed using the sum, the average, the minimum or the
-            maximum of the values lying inside each bin
-            respectively.
-        histnorm
-            Specifies the type of normalization used for this
-            histogram trace. If "", the span of each bar
-            corresponds to the number of occurrences (i.e. the
-            number of data points lying inside the bins). If
-            "percent" / "probability", the span of each bar
-            corresponds to the percentage / fraction of occurrences
-            with respect to the total number of sample points
-            (here, the sum of all bin HEIGHTS equals 100% / 1). If
-            "density", the span of each bar corresponds to the
-            number of occurrences in a bin divided by the size of
-            the bin interval (here, the sum of all bin AREAS equals
-            the total number of sample points). If *probability
-            density*, the area of each bar corresponds to the
-            probability that an event will fall into the
-            corresponding bin (here, the sum of all bin AREAS
-            equals 1).
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.histogram2d.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `z` Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.histogram2d.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        nbinsx
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `xbins.size` is provided.
-        nbinsy
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `ybins.size` is provided.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.histogram2d.Stream`
-            instance or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the sample data to be binned on the x axis.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbingroup
-            Set a group of histogram traces which will have
-            compatible x-bin settings. Using `xbingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible x-bin settings.
-            Note that the same `xbingroup` value can be used to set
-            (1D) histogram `bingroup`
-        xbins
-            :class:`plotly.graph_objects.histogram2d.XBins`
-            instance or dict with compatible properties
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xgap
-            Sets the horizontal gap (in pixels) between bricks.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the sample data to be binned on the y axis.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybingroup
-            Set a group of histogram traces which will have
-            compatible y-bin settings. Using `ybingroup`,
-            histogram2d and histogram2dcontour traces  (on axes of
-            the same axis type) can have compatible y-bin settings.
-            Note that the same `ybingroup` value can be used to set
-            (1D) histogram `bingroup`
-        ybins
-            :class:`plotly.graph_objects.histogram2d.YBins`
-            instance or dict with compatible properties
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ygap
-            Sets the vertical gap (in pixels) between bricks.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the aggregation data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsmooth
-            Picks a smoothing algorithm use to smooth `z` data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Histogram2d
-        """
-        super(Histogram2d, self).__init__("histogram2d")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Histogram2d 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Histogram2d`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import histogram2d as v_histogram2d
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autobinx"] = v_histogram2d.AutobinxValidator()
-        self._validators["autobiny"] = v_histogram2d.AutobinyValidator()
-        self._validators["autocolorscale"] = v_histogram2d.AutocolorscaleValidator()
-        self._validators["bingroup"] = v_histogram2d.BingroupValidator()
-        self._validators["coloraxis"] = v_histogram2d.ColoraxisValidator()
-        self._validators["colorbar"] = v_histogram2d.ColorBarValidator()
-        self._validators["colorscale"] = v_histogram2d.ColorscaleValidator()
-        self._validators["customdata"] = v_histogram2d.CustomdataValidator()
-        self._validators["customdatasrc"] = v_histogram2d.CustomdatasrcValidator()
-        self._validators["histfunc"] = v_histogram2d.HistfuncValidator()
-        self._validators["histnorm"] = v_histogram2d.HistnormValidator()
-        self._validators["hoverinfo"] = v_histogram2d.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_histogram2d.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_histogram2d.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_histogram2d.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_histogram2d.HovertemplatesrcValidator()
-        self._validators["ids"] = v_histogram2d.IdsValidator()
-        self._validators["idssrc"] = v_histogram2d.IdssrcValidator()
-        self._validators["legendgroup"] = v_histogram2d.LegendgroupValidator()
-        self._validators["marker"] = v_histogram2d.MarkerValidator()
-        self._validators["meta"] = v_histogram2d.MetaValidator()
-        self._validators["metasrc"] = v_histogram2d.MetasrcValidator()
-        self._validators["name"] = v_histogram2d.NameValidator()
-        self._validators["nbinsx"] = v_histogram2d.NbinsxValidator()
-        self._validators["nbinsy"] = v_histogram2d.NbinsyValidator()
-        self._validators["opacity"] = v_histogram2d.OpacityValidator()
-        self._validators["reversescale"] = v_histogram2d.ReversescaleValidator()
-        self._validators["showlegend"] = v_histogram2d.ShowlegendValidator()
-        self._validators["showscale"] = v_histogram2d.ShowscaleValidator()
-        self._validators["stream"] = v_histogram2d.StreamValidator()
-        self._validators["uid"] = v_histogram2d.UidValidator()
-        self._validators["uirevision"] = v_histogram2d.UirevisionValidator()
-        self._validators["visible"] = v_histogram2d.VisibleValidator()
-        self._validators["x"] = v_histogram2d.XValidator()
-        self._validators["xaxis"] = v_histogram2d.XAxisValidator()
-        self._validators["xbingroup"] = v_histogram2d.XbingroupValidator()
-        self._validators["xbins"] = v_histogram2d.XBinsValidator()
-        self._validators["xcalendar"] = v_histogram2d.XcalendarValidator()
-        self._validators["xgap"] = v_histogram2d.XgapValidator()
-        self._validators["xsrc"] = v_histogram2d.XsrcValidator()
-        self._validators["y"] = v_histogram2d.YValidator()
-        self._validators["yaxis"] = v_histogram2d.YAxisValidator()
-        self._validators["ybingroup"] = v_histogram2d.YbingroupValidator()
-        self._validators["ybins"] = v_histogram2d.YBinsValidator()
-        self._validators["ycalendar"] = v_histogram2d.YcalendarValidator()
-        self._validators["ygap"] = v_histogram2d.YgapValidator()
-        self._validators["ysrc"] = v_histogram2d.YsrcValidator()
-        self._validators["z"] = v_histogram2d.ZValidator()
-        self._validators["zauto"] = v_histogram2d.ZautoValidator()
-        self._validators["zhoverformat"] = v_histogram2d.ZhoverformatValidator()
-        self._validators["zmax"] = v_histogram2d.ZmaxValidator()
-        self._validators["zmid"] = v_histogram2d.ZmidValidator()
-        self._validators["zmin"] = v_histogram2d.ZminValidator()
-        self._validators["zsmooth"] = v_histogram2d.ZsmoothValidator()
-        self._validators["zsrc"] = v_histogram2d.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autobinx", None)
-        self["autobinx"] = autobinx if autobinx is not None else _v
-        _v = arg.pop("autobiny", None)
-        self["autobiny"] = autobiny if autobiny is not None else _v
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("bingroup", None)
-        self["bingroup"] = bingroup if bingroup is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("histfunc", None)
-        self["histfunc"] = histfunc if histfunc is not None else _v
-        _v = arg.pop("histnorm", None)
-        self["histnorm"] = histnorm if histnorm is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("nbinsx", None)
-        self["nbinsx"] = nbinsx if nbinsx is not None else _v
-        _v = arg.pop("nbinsy", None)
-        self["nbinsy"] = nbinsy if nbinsy is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xbingroup", None)
-        self["xbingroup"] = xbingroup if xbingroup is not None else _v
-        _v = arg.pop("xbins", None)
-        self["xbins"] = xbins if xbins is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xgap", None)
-        self["xgap"] = xgap if xgap is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ybingroup", None)
-        self["ybingroup"] = ybingroup if ybingroup is not None else _v
-        _v = arg.pop("ybins", None)
-        self["ybins"] = ybins if ybins is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ygap", None)
-        self["ygap"] = ygap if ygap is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zhoverformat", None)
-        self["zhoverformat"] = zhoverformat if zhoverformat is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsmooth", None)
-        self["zsmooth"] = zsmooth if zsmooth is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "histogram2d"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="histogram2d", val="histogram2d"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Histogram(_BaseTraceType):
-
-    # alignmentgroup
-    # --------------
-    @property
-    def alignmentgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same alignmentgroup. This controls whether bars
-        compute their positional range dependently or independently.
-    
-        The 'alignmentgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["alignmentgroup"]
-
-    @alignmentgroup.setter
-    def alignmentgroup(self, val):
-        self["alignmentgroup"] = val
-
-    # autobinx
-    # --------
-    @property
-    def autobinx(self):
-        """
-        Obsolete: since v1.42 each bin attribute is auto-determined
-        separately and `autobinx` is not needed. However, we accept
-        `autobinx: true` or `false` and will update `xbins` accordingly
-        before deleting `autobinx` from the trace.
-    
-        The 'autobinx' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autobinx"]
-
-    @autobinx.setter
-    def autobinx(self, val):
-        self["autobinx"] = val
-
-    # autobiny
-    # --------
-    @property
-    def autobiny(self):
-        """
-        Obsolete: since v1.42 each bin attribute is auto-determined
-        separately and `autobiny` is not needed. However, we accept
-        `autobiny: true` or `false` and will update `ybins` accordingly
-        before deleting `autobiny` from the trace.
-    
-        The 'autobiny' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autobiny"]
-
-    @autobiny.setter
-    def autobiny(self, val):
-        self["autobiny"] = val
-
-    # bingroup
-    # --------
-    @property
-    def bingroup(self):
-        """
-        Set a group of histogram traces which will have compatible bin
-        settings. Note that traces on the same subplot and with the
-        same "orientation" under `barmode` "stack", "relative" and
-        "group" are forced into the same bingroup, Using `bingroup`,
-        traces under `barmode` "overlay" and on different axes (of the
-        same axis type) can have compatible bin settings. Note that
-        histogram and histogram2d* trace can share the same `bingroup`
-    
-        The 'bingroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["bingroup"]
-
-    @bingroup.setter
-    def bingroup(self, val):
-        self["bingroup"] = val
-
-    # cumulative
-    # ----------
-    @property
-    def cumulative(self):
-        """
-        The 'cumulative' property is an instance of Cumulative
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.Cumulative`
-          - A dict of string/value properties that will be passed
-            to the Cumulative constructor
-    
-            Supported dict properties:
-                
-                currentbin
-                    Only applies if cumulative is enabled. Sets
-                    whether the current bin is included, excluded,
-                    or has half of its value included in the
-                    current cumulative value. "include" is the
-                    default for compatibility with various other
-                    tools, however it introduces a half-bin bias to
-                    the results. "exclude" makes the opposite half-
-                    bin bias, and "half" removes it.
-                direction
-                    Only applies if cumulative is enabled. If
-                    "increasing" (default) we sum all prior bins,
-                    so the result increases from left to right. If
-                    "decreasing" we sum later bins so the result
-                    decreases from left to right.
-                enabled
-                    If true, display the cumulative distribution by
-                    summing the binned values. Use the `direction`
-                    and `centralbin` attributes to tune the
-                    accumulation method. Note: in this mode, the
-                    "density" `histnorm` settings behave the same
-                    as their equivalents without "density": "" and
-                    "density" both rise to the number of data
-                    points, and "probability" and *probability
-                    density* both rise to the number of sample
-                    points.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.Cumulative
-        """
-        return self["cumulative"]
-
-    @cumulative.setter
-    def cumulative(self, val):
-        self["cumulative"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # error_x
-    # -------
-    @property
-    def error_x(self):
-        """
-        The 'error_x' property is an instance of ErrorX
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.ErrorX`
-          - A dict of string/value properties that will be passed
-            to the ErrorX constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                copy_ystyle
-    
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.ErrorX
-        """
-        return self["error_x"]
-
-    @error_x.setter
-    def error_x(self, val):
-        self["error_x"] = val
-
-    # error_y
-    # -------
-    @property
-    def error_y(self):
-        """
-        The 'error_y' property is an instance of ErrorY
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.ErrorY`
-          - A dict of string/value properties that will be passed
-            to the ErrorY constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.ErrorY
-        """
-        return self["error_y"]
-
-    @error_y.setter
-    def error_y(self, val):
-        self["error_y"] = val
-
-    # histfunc
-    # --------
-    @property
-    def histfunc(self):
-        """
-        Specifies the binning function used for this histogram trace.
-        If "count", the histogram values are computed by counting the
-        number of values lying inside each bin. If "sum", "avg", "min",
-        "max", the histogram values are computed using the sum, the
-        average, the minimum or the maximum of the values lying inside
-        each bin respectively.
-    
-        The 'histfunc' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['count', 'sum', 'avg', 'min', 'max']
-
-        Returns
-        -------
-        Any
-        """
-        return self["histfunc"]
-
-    @histfunc.setter
-    def histfunc(self, val):
-        self["histfunc"] = val
-
-    # histnorm
-    # --------
-    @property
-    def histnorm(self):
-        """
-        Specifies the type of normalization used for this histogram
-        trace. If "", the span of each bar corresponds to the number of
-        occurrences (i.e. the number of data points lying inside the
-        bins). If "percent" / "probability", the span of each bar
-        corresponds to the percentage / fraction of occurrences with
-        respect to the total number of sample points (here, the sum of
-        all bin HEIGHTS equals 100% / 1). If "density", the span of
-        each bar corresponds to the number of occurrences in a bin
-        divided by the size of the bin interval (here, the sum of all
-        bin AREAS equals the total number of sample points). If
-        *probability density*, the area of each bar corresponds to the
-        probability that an event will fall into the corresponding bin
-        (here, the sum of all bin AREAS equals 1).
-    
-        The 'histnorm' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['', 'percent', 'probability', 'density', 'probability
-                density']
-
-        Returns
-        -------
-        Any
-        """
-        return self["histnorm"]
-
-    @histnorm.setter
-    def histnorm(self, val):
-        self["histnorm"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variable `binNumber` Anything contained in tag `<extra>` is
-        displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.histogram.marker.C
-                    olorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.histogram.marker.L
-                    ine` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the opacity of the bars.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # nbinsx
-    # ------
-    @property
-    def nbinsx(self):
-        """
-        Specifies the maximum number of desired bins. This value will
-        be used in an algorithm that will decide the optimal bin size
-        such that the histogram best visualizes the distribution of the
-        data. Ignored if `xbins.size` is provided.
-    
-        The 'nbinsx' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nbinsx"]
-
-    @nbinsx.setter
-    def nbinsx(self, val):
-        self["nbinsx"] = val
-
-    # nbinsy
-    # ------
-    @property
-    def nbinsy(self):
-        """
-        Specifies the maximum number of desired bins. This value will
-        be used in an algorithm that will decide the optimal bin size
-        such that the histogram best visualizes the distribution of the
-        data. Ignored if `ybins.size` is provided.
-    
-        The 'nbinsy' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nbinsy"]
-
-    @nbinsy.setter
-    def nbinsy(self, val):
-        self["nbinsy"] = val
-
-    # offsetgroup
-    # -----------
-    @property
-    def offsetgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same offsetgroup where bars of the same position
-        coordinate will line up.
-    
-        The 'offsetgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetgroup"]
-
-    @offsetgroup.setter
-    def offsetgroup(self, val):
-        self["offsetgroup"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the bars. With "v" ("h"), the value of
-        the each bar spans along the vertical (horizontal).
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.histogram.selected
-                    .Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.histogram.selected
-                    .Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets hover text elements associated with each bar. If a single
-        string, the same string appears over all bars. If an array of
-        string, the items are mapped in order to the this trace's
-        coordinates.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.histogram.unselect
-                    ed.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.histogram.unselect
-                    ed.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the sample data to be binned on the x axis.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xbins
-    # -----
-    @property
-    def xbins(self):
-        """
-        The 'xbins' property is an instance of XBins
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.XBins`
-          - A dict of string/value properties that will be passed
-            to the XBins constructor
-    
-            Supported dict properties:
-                
-                end
-                    Sets the end value for the x axis bins. The
-                    last bin may not end exactly at this value, we
-                    increment the bin edge by `size` from `start`
-                    until we reach or exceed `end`. Defaults to the
-                    maximum data value. Like `start`, for dates use
-                    a date string, and for category data `end` is
-                    based on the category serial numbers.
-                size
-                    Sets the size of each x axis bin. Default
-                    behavior: If `nbinsx` is 0 or omitted, we
-                    choose a nice round bin size such that the
-                    number of bins is about the same as the typical
-                    number of samples in each bin. If `nbinsx` is
-                    provided, we choose a nice round bin size
-                    giving no more than that many bins. For date
-                    data, use milliseconds or "M<n>" for months, as
-                    in `axis.dtick`. For category data, the number
-                    of categories to bin together (always defaults
-                    to 1). If multiple non-overlaying histograms
-                    share a subplot, the first explicit `size` is
-                    used and all others discarded. If no `size` is
-                    provided,the sample data from all traces is
-                    combined to determine `size` as described
-                    above.
-                start
-                    Sets the starting value for the x axis bins.
-                    Defaults to the minimum data value, shifted
-                    down if necessary to make nice round values and
-                    to remove ambiguous bin edges. For example, if
-                    most of the data is integers we shift the bin
-                    edges 0.5 down, so a `size` of 5 would have a
-                    default `start` of -0.5, so it is clear that
-                    0-4 are in the first bin, 5-9 in the second,
-                    but continuous data gets a start of 0 and bins
-                    [0,5), [5,10) etc. Dates behave similarly, and
-                    `start` should be a date string. For category
-                    data, `start` is based on the category serial
-                    numbers, and defaults to -0.5. If multiple non-
-                    overlaying histograms share a subplot, the
-                    first explicit `start` is used exactly and all
-                    others are shifted down (if necessary) to
-                    differ from that one by an integer number of
-                    bins.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.XBins
-        """
-        return self["xbins"]
-
-    @xbins.setter
-    def xbins(self, val):
-        self["xbins"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the sample data to be binned on the y axis.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ybins
-    # -----
-    @property
-    def ybins(self):
-        """
-        The 'ybins' property is an instance of YBins
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.YBins`
-          - A dict of string/value properties that will be passed
-            to the YBins constructor
-    
-            Supported dict properties:
-                
-                end
-                    Sets the end value for the y axis bins. The
-                    last bin may not end exactly at this value, we
-                    increment the bin edge by `size` from `start`
-                    until we reach or exceed `end`. Defaults to the
-                    maximum data value. Like `start`, for dates use
-                    a date string, and for category data `end` is
-                    based on the category serial numbers.
-                size
-                    Sets the size of each y axis bin. Default
-                    behavior: If `nbinsy` is 0 or omitted, we
-                    choose a nice round bin size such that the
-                    number of bins is about the same as the typical
-                    number of samples in each bin. If `nbinsy` is
-                    provided, we choose a nice round bin size
-                    giving no more than that many bins. For date
-                    data, use milliseconds or "M<n>" for months, as
-                    in `axis.dtick`. For category data, the number
-                    of categories to bin together (always defaults
-                    to 1). If multiple non-overlaying histograms
-                    share a subplot, the first explicit `size` is
-                    used and all others discarded. If no `size` is
-                    provided,the sample data from all traces is
-                    combined to determine `size` as described
-                    above.
-                start
-                    Sets the starting value for the y axis bins.
-                    Defaults to the minimum data value, shifted
-                    down if necessary to make nice round values and
-                    to remove ambiguous bin edges. For example, if
-                    most of the data is integers we shift the bin
-                    edges 0.5 down, so a `size` of 5 would have a
-                    default `start` of -0.5, so it is clear that
-                    0-4 are in the first bin, 5-9 in the second,
-                    but continuous data gets a start of 0 and bins
-                    [0,5), [5,10) etc. Dates behave similarly, and
-                    `start` should be a date string. For category
-                    data, `start` is based on the category serial
-                    numbers, and defaults to -0.5. If multiple non-
-                    overlaying histograms share a subplot, the
-                    first explicit `start` is used exactly and all
-                    others are shifted down (if necessary) to
-                    differ from that one by an integer number of
-                    bins.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.YBins
-        """
-        return self["ybins"]
-
-    @ybins.setter
-    def ybins(self, val):
-        self["ybins"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        autobinx
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobinx` is not needed.
-            However, we accept `autobinx: true` or `false` and will
-            update `xbins` accordingly before deleting `autobinx`
-            from the trace.
-        autobiny
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobiny` is not needed.
-            However, we accept `autobiny: true` or `false` and will
-            update `ybins` accordingly before deleting `autobiny`
-            from the trace.
-        bingroup
-            Set a group of histogram traces which will have
-            compatible bin settings. Note that traces on the same
-            subplot and with the same "orientation" under `barmode`
-            "stack", "relative" and "group" are forced into the
-            same bingroup, Using `bingroup`, traces under `barmode`
-            "overlay" and on different axes (of the same axis type)
-            can have compatible bin settings. Note that histogram
-            and histogram2d* trace can share the same `bingroup`
-        cumulative
-            :class:`plotly.graph_objects.histogram.Cumulative`
-            instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        error_x
-            :class:`plotly.graph_objects.histogram.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.histogram.ErrorY` instance
-            or dict with compatible properties
-        histfunc
-            Specifies the binning function used for this histogram
-            trace. If "count", the histogram values are computed by
-            counting the number of values lying inside each bin. If
-            "sum", "avg", "min", "max", the histogram values are
-            computed using the sum, the average, the minimum or the
-            maximum of the values lying inside each bin
-            respectively.
-        histnorm
-            Specifies the type of normalization used for this
-            histogram trace. If "", the span of each bar
-            corresponds to the number of occurrences (i.e. the
-            number of data points lying inside the bins). If
-            "percent" / "probability", the span of each bar
-            corresponds to the percentage / fraction of occurrences
-            with respect to the total number of sample points
-            (here, the sum of all bin HEIGHTS equals 100% / 1). If
-            "density", the span of each bar corresponds to the
-            number of occurrences in a bin divided by the size of
-            the bin interval (here, the sum of all bin AREAS equals
-            the total number of sample points). If *probability
-            density*, the area of each bar corresponds to the
-            probability that an event will fall into the
-            corresponding bin (here, the sum of all bin AREAS
-            equals 1).
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.histogram.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `binNumber` Anything contained
-            in tag `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.histogram.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        nbinsx
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `xbins.size` is provided.
-        nbinsy
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `ybins.size` is provided.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the bars. With "v" ("h"), the
-            value of the each bar spans along the vertical
-            (horizontal).
-        selected
-            :class:`plotly.graph_objects.histogram.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.histogram.Stream` instance
-            or dict with compatible properties
-        text
-            Sets hover text elements associated with each bar. If a
-            single string, the same string appears over all bars.
-            If an array of string, the items are mapped in order to
-            the this trace's coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.histogram.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the sample data to be binned on the x axis.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbins
-            :class:`plotly.graph_objects.histogram.XBins` instance
-            or dict with compatible properties
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the sample data to be binned on the y axis.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybins
-            :class:`plotly.graph_objects.histogram.YBins` instance
-            or dict with compatible properties
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alignmentgroup=None,
-        autobinx=None,
-        autobiny=None,
-        bingroup=None,
-        cumulative=None,
-        customdata=None,
-        customdatasrc=None,
-        error_x=None,
-        error_y=None,
-        histfunc=None,
-        histnorm=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        nbinsx=None,
-        nbinsy=None,
-        offsetgroup=None,
-        opacity=None,
-        orientation=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        x=None,
-        xaxis=None,
-        xbins=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        yaxis=None,
-        ybins=None,
-        ycalendar=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Histogram object
-        
-        The sample data from which statistics are computed is set in
-        `x` for vertically spanning histograms and in `y` for
-        horizontally spanning histograms. Binning options are set
-        `xbins` and `ybins` respectively if no aggregation data is
-        provided.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Histogram`
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        autobinx
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobinx` is not needed.
-            However, we accept `autobinx: true` or `false` and will
-            update `xbins` accordingly before deleting `autobinx`
-            from the trace.
-        autobiny
-            Obsolete: since v1.42 each bin attribute is auto-
-            determined separately and `autobiny` is not needed.
-            However, we accept `autobiny: true` or `false` and will
-            update `ybins` accordingly before deleting `autobiny`
-            from the trace.
-        bingroup
-            Set a group of histogram traces which will have
-            compatible bin settings. Note that traces on the same
-            subplot and with the same "orientation" under `barmode`
-            "stack", "relative" and "group" are forced into the
-            same bingroup, Using `bingroup`, traces under `barmode`
-            "overlay" and on different axes (of the same axis type)
-            can have compatible bin settings. Note that histogram
-            and histogram2d* trace can share the same `bingroup`
-        cumulative
-            :class:`plotly.graph_objects.histogram.Cumulative`
-            instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        error_x
-            :class:`plotly.graph_objects.histogram.ErrorX` instance
-            or dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.histogram.ErrorY` instance
-            or dict with compatible properties
-        histfunc
-            Specifies the binning function used for this histogram
-            trace. If "count", the histogram values are computed by
-            counting the number of values lying inside each bin. If
-            "sum", "avg", "min", "max", the histogram values are
-            computed using the sum, the average, the minimum or the
-            maximum of the values lying inside each bin
-            respectively.
-        histnorm
-            Specifies the type of normalization used for this
-            histogram trace. If "", the span of each bar
-            corresponds to the number of occurrences (i.e. the
-            number of data points lying inside the bins). If
-            "percent" / "probability", the span of each bar
-            corresponds to the percentage / fraction of occurrences
-            with respect to the total number of sample points
-            (here, the sum of all bin HEIGHTS equals 100% / 1). If
-            "density", the span of each bar corresponds to the
-            number of occurrences in a bin divided by the size of
-            the bin interval (here, the sum of all bin AREAS equals
-            the total number of sample points). If *probability
-            density*, the area of each bar corresponds to the
-            probability that an event will fall into the
-            corresponding bin (here, the sum of all bin AREAS
-            equals 1).
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.histogram.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `binNumber` Anything contained
-            in tag `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.histogram.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        nbinsx
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `xbins.size` is provided.
-        nbinsy
-            Specifies the maximum number of desired bins. This
-            value will be used in an algorithm that will decide the
-            optimal bin size such that the histogram best
-            visualizes the distribution of the data. Ignored if
-            `ybins.size` is provided.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the bars. With "v" ("h"), the
-            value of the each bar spans along the vertical
-            (horizontal).
-        selected
-            :class:`plotly.graph_objects.histogram.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.histogram.Stream` instance
-            or dict with compatible properties
-        text
-            Sets hover text elements associated with each bar. If a
-            single string, the same string appears over all bars.
-            If an array of string, the items are mapped in order to
-            the this trace's coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.histogram.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the sample data to be binned on the x axis.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xbins
-            :class:`plotly.graph_objects.histogram.XBins` instance
-            or dict with compatible properties
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the sample data to be binned on the y axis.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ybins
-            :class:`plotly.graph_objects.histogram.YBins` instance
-            or dict with compatible properties
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Histogram
-        """
-        super(Histogram, self).__init__("histogram")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Histogram 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Histogram`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import histogram as v_histogram
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alignmentgroup"] = v_histogram.AlignmentgroupValidator()
-        self._validators["autobinx"] = v_histogram.AutobinxValidator()
-        self._validators["autobiny"] = v_histogram.AutobinyValidator()
-        self._validators["bingroup"] = v_histogram.BingroupValidator()
-        self._validators["cumulative"] = v_histogram.CumulativeValidator()
-        self._validators["customdata"] = v_histogram.CustomdataValidator()
-        self._validators["customdatasrc"] = v_histogram.CustomdatasrcValidator()
-        self._validators["error_x"] = v_histogram.ErrorXValidator()
-        self._validators["error_y"] = v_histogram.ErrorYValidator()
-        self._validators["histfunc"] = v_histogram.HistfuncValidator()
-        self._validators["histnorm"] = v_histogram.HistnormValidator()
-        self._validators["hoverinfo"] = v_histogram.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_histogram.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_histogram.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_histogram.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_histogram.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_histogram.HovertextValidator()
-        self._validators["hovertextsrc"] = v_histogram.HovertextsrcValidator()
-        self._validators["ids"] = v_histogram.IdsValidator()
-        self._validators["idssrc"] = v_histogram.IdssrcValidator()
-        self._validators["legendgroup"] = v_histogram.LegendgroupValidator()
-        self._validators["marker"] = v_histogram.MarkerValidator()
-        self._validators["meta"] = v_histogram.MetaValidator()
-        self._validators["metasrc"] = v_histogram.MetasrcValidator()
-        self._validators["name"] = v_histogram.NameValidator()
-        self._validators["nbinsx"] = v_histogram.NbinsxValidator()
-        self._validators["nbinsy"] = v_histogram.NbinsyValidator()
-        self._validators["offsetgroup"] = v_histogram.OffsetgroupValidator()
-        self._validators["opacity"] = v_histogram.OpacityValidator()
-        self._validators["orientation"] = v_histogram.OrientationValidator()
-        self._validators["selected"] = v_histogram.SelectedValidator()
-        self._validators["selectedpoints"] = v_histogram.SelectedpointsValidator()
-        self._validators["showlegend"] = v_histogram.ShowlegendValidator()
-        self._validators["stream"] = v_histogram.StreamValidator()
-        self._validators["text"] = v_histogram.TextValidator()
-        self._validators["textsrc"] = v_histogram.TextsrcValidator()
-        self._validators["uid"] = v_histogram.UidValidator()
-        self._validators["uirevision"] = v_histogram.UirevisionValidator()
-        self._validators["unselected"] = v_histogram.UnselectedValidator()
-        self._validators["visible"] = v_histogram.VisibleValidator()
-        self._validators["x"] = v_histogram.XValidator()
-        self._validators["xaxis"] = v_histogram.XAxisValidator()
-        self._validators["xbins"] = v_histogram.XBinsValidator()
-        self._validators["xcalendar"] = v_histogram.XcalendarValidator()
-        self._validators["xsrc"] = v_histogram.XsrcValidator()
-        self._validators["y"] = v_histogram.YValidator()
-        self._validators["yaxis"] = v_histogram.YAxisValidator()
-        self._validators["ybins"] = v_histogram.YBinsValidator()
-        self._validators["ycalendar"] = v_histogram.YcalendarValidator()
-        self._validators["ysrc"] = v_histogram.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alignmentgroup", None)
-        self["alignmentgroup"] = alignmentgroup if alignmentgroup is not None else _v
-        _v = arg.pop("autobinx", None)
-        self["autobinx"] = autobinx if autobinx is not None else _v
-        _v = arg.pop("autobiny", None)
-        self["autobiny"] = autobiny if autobiny is not None else _v
-        _v = arg.pop("bingroup", None)
-        self["bingroup"] = bingroup if bingroup is not None else _v
-        _v = arg.pop("cumulative", None)
-        self["cumulative"] = cumulative if cumulative is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("error_x", None)
-        self["error_x"] = error_x if error_x is not None else _v
-        _v = arg.pop("error_y", None)
-        self["error_y"] = error_y if error_y is not None else _v
-        _v = arg.pop("histfunc", None)
-        self["histfunc"] = histfunc if histfunc is not None else _v
-        _v = arg.pop("histnorm", None)
-        self["histnorm"] = histnorm if histnorm is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("nbinsx", None)
-        self["nbinsx"] = nbinsx if nbinsx is not None else _v
-        _v = arg.pop("nbinsy", None)
-        self["nbinsy"] = nbinsy if nbinsy is not None else _v
-        _v = arg.pop("offsetgroup", None)
-        self["offsetgroup"] = offsetgroup if offsetgroup is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xbins", None)
-        self["xbins"] = xbins if xbins is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ybins", None)
-        self["ybins"] = ybins if ybins is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "histogram"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="histogram", val="histogram"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Heatmapgl(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.heatmap
-                    gl.colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.heatmapgl.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of heatmapgl.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.heatmapgl.colorbar
-                    .Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    heatmapgl.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    heatmapgl.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each z value.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # transpose
-    # ---------
-    @property
-    def transpose(self):
-        """
-        Transposes the z data.
-    
-        The 'transpose' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["transpose"]
-
-    @transpose.setter
-    def transpose(self, val):
-        self["transpose"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # xtype
-    # -----
-    @property
-    def xtype(self):
-        """
-        If "array", the heatmap's x coordinates are given by "x" (the
-        default behavior when `x` is provided). If "scaled", the
-        heatmap's x coordinates are given by "x0" and "dx" (the default
-        behavior when `x` is not provided).
-    
-        The 'xtype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xtype"]
-
-    @xtype.setter
-    def xtype(self, val):
-        self["xtype"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # ytype
-    # -----
-    @property
-    def ytype(self):
-        """
-        If "array", the heatmap's y coordinates are given by "y" (the
-        default behavior when `y` is provided) If "scaled", the
-        heatmap's y coordinates are given by "y0" and "dy" (the default
-        behavior when `y` is not provided)
-    
-        The 'ytype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ytype"]
-
-    @ytype.setter
-    def ytype(self, val):
-        self["ytype"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z data.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.heatmapgl.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.heatmapgl.Hoverlabel`
-            instance or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.heatmapgl.Stream` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xtype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        ytype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        ids=None,
-        idssrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        reversescale=None,
-        showscale=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        transpose=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xsrc=None,
-        xtype=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ysrc=None,
-        ytype=None,
-        z=None,
-        zauto=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Heatmapgl object
-        
-        WebGL version of the heatmap trace type.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Heatmapgl`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.heatmapgl.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.heatmapgl.Hoverlabel`
-            instance or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.heatmapgl.Stream` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xtype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        ytype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Heatmapgl
-        """
-        super(Heatmapgl, self).__init__("heatmapgl")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Heatmapgl 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Heatmapgl`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import heatmapgl as v_heatmapgl
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_heatmapgl.AutocolorscaleValidator()
-        self._validators["coloraxis"] = v_heatmapgl.ColoraxisValidator()
-        self._validators["colorbar"] = v_heatmapgl.ColorBarValidator()
-        self._validators["colorscale"] = v_heatmapgl.ColorscaleValidator()
-        self._validators["customdata"] = v_heatmapgl.CustomdataValidator()
-        self._validators["customdatasrc"] = v_heatmapgl.CustomdatasrcValidator()
-        self._validators["dx"] = v_heatmapgl.DxValidator()
-        self._validators["dy"] = v_heatmapgl.DyValidator()
-        self._validators["hoverinfo"] = v_heatmapgl.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_heatmapgl.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_heatmapgl.HoverlabelValidator()
-        self._validators["ids"] = v_heatmapgl.IdsValidator()
-        self._validators["idssrc"] = v_heatmapgl.IdssrcValidator()
-        self._validators["meta"] = v_heatmapgl.MetaValidator()
-        self._validators["metasrc"] = v_heatmapgl.MetasrcValidator()
-        self._validators["name"] = v_heatmapgl.NameValidator()
-        self._validators["opacity"] = v_heatmapgl.OpacityValidator()
-        self._validators["reversescale"] = v_heatmapgl.ReversescaleValidator()
-        self._validators["showscale"] = v_heatmapgl.ShowscaleValidator()
-        self._validators["stream"] = v_heatmapgl.StreamValidator()
-        self._validators["text"] = v_heatmapgl.TextValidator()
-        self._validators["textsrc"] = v_heatmapgl.TextsrcValidator()
-        self._validators["transpose"] = v_heatmapgl.TransposeValidator()
-        self._validators["uid"] = v_heatmapgl.UidValidator()
-        self._validators["uirevision"] = v_heatmapgl.UirevisionValidator()
-        self._validators["visible"] = v_heatmapgl.VisibleValidator()
-        self._validators["x"] = v_heatmapgl.XValidator()
-        self._validators["x0"] = v_heatmapgl.X0Validator()
-        self._validators["xaxis"] = v_heatmapgl.XAxisValidator()
-        self._validators["xsrc"] = v_heatmapgl.XsrcValidator()
-        self._validators["xtype"] = v_heatmapgl.XtypeValidator()
-        self._validators["y"] = v_heatmapgl.YValidator()
-        self._validators["y0"] = v_heatmapgl.Y0Validator()
-        self._validators["yaxis"] = v_heatmapgl.YAxisValidator()
-        self._validators["ysrc"] = v_heatmapgl.YsrcValidator()
-        self._validators["ytype"] = v_heatmapgl.YtypeValidator()
-        self._validators["z"] = v_heatmapgl.ZValidator()
-        self._validators["zauto"] = v_heatmapgl.ZautoValidator()
-        self._validators["zmax"] = v_heatmapgl.ZmaxValidator()
-        self._validators["zmid"] = v_heatmapgl.ZmidValidator()
-        self._validators["zmin"] = v_heatmapgl.ZminValidator()
-        self._validators["zsrc"] = v_heatmapgl.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("transpose", None)
-        self["transpose"] = transpose if transpose is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("xtype", None)
-        self["xtype"] = xtype if xtype is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("ytype", None)
-        self["ytype"] = ytype if ytype is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "heatmapgl"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="heatmapgl", val="heatmapgl"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Heatmap(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.heatmap
-                    .colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.heatmap.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of heatmap.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.heatmap.colorbar.T
-                    itle` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    heatmap.colorbar.title.font instead. Sets this
-                    color bar's title font. Note that the title's
-                    font used to be set by the now deprecated
-                    `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    heatmap.colorbar.title.side instead. Determines
-                    the location of color bar's title with respect
-                    to the color bar. Note that the title's
-                    location used to be set by the now deprecated
-                    `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the `z` data are filled in. It is defaulted to true if `z`
-        is a one dimensional array and `zsmooth` is not false;
-        otherwise it is defaulted to false.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoverongaps
-    # -----------
-    @property
-    def hoverongaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the `z` data have hover labels associated with them.
-    
-        The 'hoverongaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["hoverongaps"]
-
-    @hoverongaps.setter
-    def hoverongaps(self, val):
-        self["hoverongaps"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each z value.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # transpose
-    # ---------
-    @property
-    def transpose(self):
-        """
-        Transposes the z data.
-    
-        The 'transpose' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["transpose"]
-
-    @transpose.setter
-    def transpose(self, val):
-        self["transpose"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xgap
-    # ----
-    @property
-    def xgap(self):
-        """
-        Sets the horizontal gap (in pixels) between bricks.
-    
-        The 'xgap' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xgap"]
-
-    @xgap.setter
-    def xgap(self, val):
-        self["xgap"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # xtype
-    # -----
-    @property
-    def xtype(self):
-        """
-        If "array", the heatmap's x coordinates are given by "x" (the
-        default behavior when `x` is provided). If "scaled", the
-        heatmap's x coordinates are given by "x0" and "dx" (the default
-        behavior when `x` is not provided).
-    
-        The 'xtype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xtype"]
-
-    @xtype.setter
-    def xtype(self, val):
-        self["xtype"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ygap
-    # ----
-    @property
-    def ygap(self):
-        """
-        Sets the vertical gap (in pixels) between bricks.
-    
-        The 'ygap' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ygap"]
-
-    @ygap.setter
-    def ygap(self, val):
-        self["ygap"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # ytype
-    # -----
-    @property
-    def ytype(self):
-        """
-        If "array", the heatmap's y coordinates are given by "y" (the
-        default behavior when `y` is provided) If "scaled", the
-        heatmap's y coordinates are given by "y0" and "dy" (the default
-        behavior when `y` is not provided)
-    
-        The 'ytype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ytype"]
-
-    @ytype.setter
-    def ytype(self, val):
-        self["ytype"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z data.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zhoverformat
-    # ------------
-    @property
-    def zhoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. See:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'zhoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["zhoverformat"]
-
-    @zhoverformat.setter
-    def zhoverformat(self, val):
-        self["zhoverformat"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsmooth
-    # -------
-    @property
-    def zsmooth(self):
-        """
-        Picks a smoothing algorithm use to smooth `z` data.
-    
-        The 'zsmooth' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fast', 'best', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["zsmooth"]
-
-    @zsmooth.setter
-    def zsmooth(self, val):
-        self["zsmooth"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.heatmap.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data are filled in. It is defaulted
-            to true if `z` is a one dimensional array and `zsmooth`
-            is not false; otherwise it is defaulted to false.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.heatmap.Hoverlabel`
-            instance or dict with compatible properties
-        hoverongaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data have hover labels associated
-            with them.
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.heatmap.Stream` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xgap
-            Sets the horizontal gap (in pixels) between bricks.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xtype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ygap
-            Sets the vertical gap (in pixels) between bricks.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        ytype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsmooth
-            Picks a smoothing algorithm use to smooth `z` data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        connectgaps=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoverongaps=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        reversescale=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        transpose=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xcalendar=None,
-        xgap=None,
-        xsrc=None,
-        xtype=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ycalendar=None,
-        ygap=None,
-        ysrc=None,
-        ytype=None,
-        z=None,
-        zauto=None,
-        zhoverformat=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsmooth=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Heatmap object
-        
-        The data that describes the heatmap value-to-color mapping is
-        set in `z`. Data in `z` can either be a 2D list of values
-        (ragged or not) or a 1D array of values. In the case where `z`
-        is a 2D list, say that `z` has N rows and M columns. Then, by
-        default, the resulting heatmap will have N partitions along the
-        y axis and M partitions along the x axis. In other words, the
-        i-th row/ j-th column cell in `z` is mapped to the i-th
-        partition of the y axis (starting from the bottom of the plot)
-        and the j-th partition of the x-axis (starting from the left of
-        the plot). This behavior can be flipped by using `transpose`.
-        Moreover, `x` (`y`) can be provided with M or M+1 (N or N+1)
-        elements. If M (N), then the coordinates correspond to the
-        center of the heatmap cells and the cells have equal width. If
-        M+1 (N+1), then the coordinates correspond to the edges of the
-        heatmap cells. In the case where `z` is a 1D list, the x and y
-        coordinates must be provided in `x` and `y` respectively to
-        form data triplets.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Heatmap`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.heatmap.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data are filled in. It is defaulted
-            to true if `z` is a one dimensional array and `zsmooth`
-            is not false; otherwise it is defaulted to false.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.heatmap.Hoverlabel`
-            instance or dict with compatible properties
-        hoverongaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data have hover labels associated
-            with them.
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.heatmap.Stream` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xgap
-            Sets the horizontal gap (in pixels) between bricks.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xtype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ygap
-            Sets the vertical gap (in pixels) between bricks.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        ytype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsmooth
-            Picks a smoothing algorithm use to smooth `z` data.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Heatmap
-        """
-        super(Heatmap, self).__init__("heatmap")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Heatmap 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Heatmap`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import heatmap as v_heatmap
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_heatmap.AutocolorscaleValidator()
-        self._validators["coloraxis"] = v_heatmap.ColoraxisValidator()
-        self._validators["colorbar"] = v_heatmap.ColorBarValidator()
-        self._validators["colorscale"] = v_heatmap.ColorscaleValidator()
-        self._validators["connectgaps"] = v_heatmap.ConnectgapsValidator()
-        self._validators["customdata"] = v_heatmap.CustomdataValidator()
-        self._validators["customdatasrc"] = v_heatmap.CustomdatasrcValidator()
-        self._validators["dx"] = v_heatmap.DxValidator()
-        self._validators["dy"] = v_heatmap.DyValidator()
-        self._validators["hoverinfo"] = v_heatmap.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_heatmap.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_heatmap.HoverlabelValidator()
-        self._validators["hoverongaps"] = v_heatmap.HoverongapsValidator()
-        self._validators["hovertemplate"] = v_heatmap.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_heatmap.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_heatmap.HovertextValidator()
-        self._validators["hovertextsrc"] = v_heatmap.HovertextsrcValidator()
-        self._validators["ids"] = v_heatmap.IdsValidator()
-        self._validators["idssrc"] = v_heatmap.IdssrcValidator()
-        self._validators["legendgroup"] = v_heatmap.LegendgroupValidator()
-        self._validators["meta"] = v_heatmap.MetaValidator()
-        self._validators["metasrc"] = v_heatmap.MetasrcValidator()
-        self._validators["name"] = v_heatmap.NameValidator()
-        self._validators["opacity"] = v_heatmap.OpacityValidator()
-        self._validators["reversescale"] = v_heatmap.ReversescaleValidator()
-        self._validators["showlegend"] = v_heatmap.ShowlegendValidator()
-        self._validators["showscale"] = v_heatmap.ShowscaleValidator()
-        self._validators["stream"] = v_heatmap.StreamValidator()
-        self._validators["text"] = v_heatmap.TextValidator()
-        self._validators["textsrc"] = v_heatmap.TextsrcValidator()
-        self._validators["transpose"] = v_heatmap.TransposeValidator()
-        self._validators["uid"] = v_heatmap.UidValidator()
-        self._validators["uirevision"] = v_heatmap.UirevisionValidator()
-        self._validators["visible"] = v_heatmap.VisibleValidator()
-        self._validators["x"] = v_heatmap.XValidator()
-        self._validators["x0"] = v_heatmap.X0Validator()
-        self._validators["xaxis"] = v_heatmap.XAxisValidator()
-        self._validators["xcalendar"] = v_heatmap.XcalendarValidator()
-        self._validators["xgap"] = v_heatmap.XgapValidator()
-        self._validators["xsrc"] = v_heatmap.XsrcValidator()
-        self._validators["xtype"] = v_heatmap.XtypeValidator()
-        self._validators["y"] = v_heatmap.YValidator()
-        self._validators["y0"] = v_heatmap.Y0Validator()
-        self._validators["yaxis"] = v_heatmap.YAxisValidator()
-        self._validators["ycalendar"] = v_heatmap.YcalendarValidator()
-        self._validators["ygap"] = v_heatmap.YgapValidator()
-        self._validators["ysrc"] = v_heatmap.YsrcValidator()
-        self._validators["ytype"] = v_heatmap.YtypeValidator()
-        self._validators["z"] = v_heatmap.ZValidator()
-        self._validators["zauto"] = v_heatmap.ZautoValidator()
-        self._validators["zhoverformat"] = v_heatmap.ZhoverformatValidator()
-        self._validators["zmax"] = v_heatmap.ZmaxValidator()
-        self._validators["zmid"] = v_heatmap.ZmidValidator()
-        self._validators["zmin"] = v_heatmap.ZminValidator()
-        self._validators["zsmooth"] = v_heatmap.ZsmoothValidator()
-        self._validators["zsrc"] = v_heatmap.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoverongaps", None)
-        self["hoverongaps"] = hoverongaps if hoverongaps is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("transpose", None)
-        self["transpose"] = transpose if transpose is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xgap", None)
-        self["xgap"] = xgap if xgap is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("xtype", None)
-        self["xtype"] = xtype if xtype is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ygap", None)
-        self["ygap"] = ygap if ygap is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("ytype", None)
-        self["ytype"] = ytype if ytype is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zhoverformat", None)
-        self["zhoverformat"] = zhoverformat if zhoverformat is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsmooth", None)
-        self["zsmooth"] = zsmooth if zsmooth is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "heatmap"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="heatmap", val="heatmap"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Funnelarea(_BaseTraceType):
-
-    # aspectratio
-    # -----------
-    @property
-    def aspectratio(self):
-        """
-        Sets the ratio between height and width
-    
-        The 'aspectratio' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["aspectratio"]
-
-    @aspectratio.setter
-    def aspectratio(self, val):
-        self["aspectratio"] = val
-
-    # baseratio
-    # ---------
-    @property
-    def baseratio(self):
-        """
-        Sets the ratio between bottom length and maximum top length.
-    
-        The 'baseratio' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["baseratio"]
-
-    @baseratio.setter
-    def baseratio(self, val):
-        self["baseratio"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dlabel
-    # ------
-    @property
-    def dlabel(self):
-        """
-        Sets the label step. See `label0` for more info.
-    
-        The 'dlabel' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dlabel"]
-
-    @dlabel.setter
-    def dlabel(self, val):
-        self["dlabel"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this funnelarea
-                    trace .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this funnelarea trace
-                    .
-                x
-                    Sets the horizontal domain of this funnelarea
-                    trace (in plot fraction).
-                y
-                    Sets the vertical domain of this funnelarea
-                    trace (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'percent', 'name'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `label`, `color`, `value`, `text` and `percent`.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each sector. If a
-        single string, the same string appears for all data points. If
-        an array of string, the items are mapped in order of this
-        trace's sectors. To be seen, trace `hoverinfo` must contain a
-        "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `textinfo` lying inside the sector.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # label0
-    # ------
-    @property
-    def label0(self):
-        """
-        Alternate to `labels`. Builds a numeric set of labels. Use with
-        `dlabel` where `label0` is the starting label and `dlabel` the
-        step.
-    
-        The 'label0' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["label0"]
-
-    @label0.setter
-    def label0(self, val):
-        self["label0"] = val
-
-    # labels
-    # ------
-    @property
-    def labels(self):
-        """
-        Sets the sector labels. If `labels` entries are duplicated, we
-        sum associated `values` or simply count occurrences if `values`
-        is not provided. For other array attributes (including color)
-        we use the first non-empty entry among all occurrences of the
-        label.
-    
-        The 'labels' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["labels"]
-
-    @labels.setter
-    def labels(self, val):
-        self["labels"] = val
-
-    # labelssrc
-    # ---------
-    @property
-    def labelssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  labels .
-    
-        The 'labelssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["labelssrc"]
-
-    @labelssrc.setter
-    def labelssrc(self, val):
-        self["labelssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                colors
-                    Sets the color of each sector. If not
-                    specified, the default trace color set is used
-                    to pick the sector colors.
-                colorssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  colors .
-                line
-                    :class:`plotly.graph_objects.funnelarea.marker.
-                    Line` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # scalegroup
-    # ----------
-    @property
-    def scalegroup(self):
-        """
-        If there are multiple funnelareas that should be sized
-        according to their totals, link them by providing a non-empty
-        group id here shared by every trace in the same group.
-    
-        The 'scalegroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["scalegroup"]
-
-    @scalegroup.setter
-    def scalegroup(self, val):
-        self["scalegroup"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each sector. If trace
-        `textinfo` contains a "text" flag, these elements will be seen
-        on the chart. If trace `hoverinfo` contains a "text" flag and
-        "hovertext" is not set, these elements will be seen in the
-        hover labels.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `textinfo`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textinfo
-    # --------
-    @property
-    def textinfo(self):
-        """
-        Determines which trace information appear on the graph.
-    
-        The 'textinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'value', 'percent'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["textinfo"]
-
-    @textinfo.setter
-    def textinfo(self, val):
-        self["textinfo"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Specifies the location of the `textinfo`.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `label`, `color`, `value`, `text` and
-        `percent`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets the font used for `title`. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                position
-                    Specifies the location of the `title`. Note
-                    that the title's position used to be set by the
-                    now deprecated `titleposition` attribute.
-                text
-                    Sets the title of the chart. If it is empty, no
-                    title is displayed. Note that before the
-                    existence of `title.text`, the title's contents
-                    used to be defined as the `title` attribute
-                    itself. This behavior has been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the values of the sectors. If omitted, we count
-        occurrences of each label.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        aspectratio
-            Sets the ratio between height and width
-        baseratio
-            Sets the ratio between bottom length and maximum top
-            length.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dlabel
-            Sets the label step. See `label0` for more info.
-        domain
-            :class:`plotly.graph_objects.funnelarea.Domain`
-            instance or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.funnelarea.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `label`, `color`, `value`,
-            `text` and `percent`. Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        label0
-            Alternate to `labels`. Builds a numeric set of labels.
-            Use with `dlabel` where `label0` is the starting label
-            and `dlabel` the step.
-        labels
-            Sets the sector labels. If `labels` entries are
-            duplicated, we sum associated `values` or simply count
-            occurrences if `values` is not provided. For other
-            array attributes (including color) we use the first
-            non-empty entry among all occurrences of the label.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.funnelarea.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        scalegroup
-            If there are multiple funnelareas that should be sized
-            according to their totals, link them by providing a
-            non-empty group id here shared by every trace in the
-            same group.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.funnelarea.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textposition
-            Specifies the location of the `textinfo`.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `label`,
-            `color`, `value`, `text` and `percent`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        title
-            :class:`plotly.graph_objects.funnelarea.Title` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values of the sectors. If omitted, we count
-            occurrences of each label.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        aspectratio=None,
-        baseratio=None,
-        customdata=None,
-        customdatasrc=None,
-        dlabel=None,
-        domain=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        insidetextfont=None,
-        label0=None,
-        labels=None,
-        labelssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        scalegroup=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textfont=None,
-        textinfo=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        title=None,
-        uid=None,
-        uirevision=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Funnelarea object
-        
-        Visualize stages in a process using area-encoded trapezoids.
-        This trace can be used to show data in a part-to-whole
-        representation similar to a "pie" trace, wherein each item
-        appears in a single stage. See also the "funnel" trace type for
-        a different approach to visualizing funnel data.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Funnelarea`
-        aspectratio
-            Sets the ratio between height and width
-        baseratio
-            Sets the ratio between bottom length and maximum top
-            length.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dlabel
-            Sets the label step. See `label0` for more info.
-        domain
-            :class:`plotly.graph_objects.funnelarea.Domain`
-            instance or dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.funnelarea.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `label`, `color`, `value`,
-            `text` and `percent`. Anything contained in tag
-            `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each sector.
-            If a single string, the same string appears for all
-            data points. If an array of string, the items are
-            mapped in order of this trace's sectors. To be seen,
-            trace `hoverinfo` must contain a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextfont
-            Sets the font used for `textinfo` lying inside the
-            sector.
-        label0
-            Alternate to `labels`. Builds a numeric set of labels.
-            Use with `dlabel` where `label0` is the starting label
-            and `dlabel` the step.
-        labels
-            Sets the sector labels. If `labels` entries are
-            duplicated, we sum associated `values` or simply count
-            occurrences if `values` is not provided. For other
-            array attributes (including color) we use the first
-            non-empty entry among all occurrences of the label.
-        labelssrc
-            Sets the source reference on Chart Studio Cloud for
-            labels .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.funnelarea.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        scalegroup
-            If there are multiple funnelareas that should be sized
-            according to their totals, link them by providing a
-            non-empty group id here shared by every trace in the
-            same group.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.funnelarea.Stream`
-            instance or dict with compatible properties
-        text
-            Sets text elements associated with each sector. If
-            trace `textinfo` contains a "text" flag, these elements
-            will be seen on the chart. If trace `hoverinfo`
-            contains a "text" flag and "hovertext" is not set,
-            these elements will be seen in the hover labels.
-        textfont
-            Sets the font used for `textinfo`.
-        textinfo
-            Determines which trace information appear on the graph.
-        textposition
-            Specifies the location of the `textinfo`.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `label`,
-            `color`, `value`, `text` and `percent`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        title
-            :class:`plotly.graph_objects.funnelarea.Title` instance
-            or dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        values
-            Sets the values of the sectors. If omitted, we count
-            occurrences of each label.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Funnelarea
-        """
-        super(Funnelarea, self).__init__("funnelarea")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Funnelarea 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Funnelarea`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import funnelarea as v_funnelarea
-
-        # Initialize validators
-        # ---------------------
-        self._validators["aspectratio"] = v_funnelarea.AspectratioValidator()
-        self._validators["baseratio"] = v_funnelarea.BaseratioValidator()
-        self._validators["customdata"] = v_funnelarea.CustomdataValidator()
-        self._validators["customdatasrc"] = v_funnelarea.CustomdatasrcValidator()
-        self._validators["dlabel"] = v_funnelarea.DlabelValidator()
-        self._validators["domain"] = v_funnelarea.DomainValidator()
-        self._validators["hoverinfo"] = v_funnelarea.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_funnelarea.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_funnelarea.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_funnelarea.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_funnelarea.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_funnelarea.HovertextValidator()
-        self._validators["hovertextsrc"] = v_funnelarea.HovertextsrcValidator()
-        self._validators["ids"] = v_funnelarea.IdsValidator()
-        self._validators["idssrc"] = v_funnelarea.IdssrcValidator()
-        self._validators["insidetextfont"] = v_funnelarea.InsidetextfontValidator()
-        self._validators["label0"] = v_funnelarea.Label0Validator()
-        self._validators["labels"] = v_funnelarea.LabelsValidator()
-        self._validators["labelssrc"] = v_funnelarea.LabelssrcValidator()
-        self._validators["legendgroup"] = v_funnelarea.LegendgroupValidator()
-        self._validators["marker"] = v_funnelarea.MarkerValidator()
-        self._validators["meta"] = v_funnelarea.MetaValidator()
-        self._validators["metasrc"] = v_funnelarea.MetasrcValidator()
-        self._validators["name"] = v_funnelarea.NameValidator()
-        self._validators["opacity"] = v_funnelarea.OpacityValidator()
-        self._validators["scalegroup"] = v_funnelarea.ScalegroupValidator()
-        self._validators["showlegend"] = v_funnelarea.ShowlegendValidator()
-        self._validators["stream"] = v_funnelarea.StreamValidator()
-        self._validators["text"] = v_funnelarea.TextValidator()
-        self._validators["textfont"] = v_funnelarea.TextfontValidator()
-        self._validators["textinfo"] = v_funnelarea.TextinfoValidator()
-        self._validators["textposition"] = v_funnelarea.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_funnelarea.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_funnelarea.TextsrcValidator()
-        self._validators["texttemplate"] = v_funnelarea.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_funnelarea.TexttemplatesrcValidator()
-        self._validators["title"] = v_funnelarea.TitleValidator()
-        self._validators["uid"] = v_funnelarea.UidValidator()
-        self._validators["uirevision"] = v_funnelarea.UirevisionValidator()
-        self._validators["values"] = v_funnelarea.ValuesValidator()
-        self._validators["valuessrc"] = v_funnelarea.ValuessrcValidator()
-        self._validators["visible"] = v_funnelarea.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("aspectratio", None)
-        self["aspectratio"] = aspectratio if aspectratio is not None else _v
-        _v = arg.pop("baseratio", None)
-        self["baseratio"] = baseratio if baseratio is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dlabel", None)
-        self["dlabel"] = dlabel if dlabel is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("label0", None)
-        self["label0"] = label0 if label0 is not None else _v
-        _v = arg.pop("labels", None)
-        self["labels"] = labels if labels is not None else _v
-        _v = arg.pop("labelssrc", None)
-        self["labelssrc"] = labelssrc if labelssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("scalegroup", None)
-        self["scalegroup"] = scalegroup if scalegroup is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textinfo", None)
-        self["textinfo"] = textinfo if textinfo is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "funnelarea"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="funnelarea", val="funnelarea"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Funnel(_BaseTraceType):
-
-    # alignmentgroup
-    # --------------
-    @property
-    def alignmentgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same alignmentgroup. This controls whether bars
-        compute their positional range dependently or independently.
-    
-        The 'alignmentgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["alignmentgroup"]
-
-    @alignmentgroup.setter
-    def alignmentgroup(self, val):
-        self["alignmentgroup"] = val
-
-    # cliponaxis
-    # ----------
-    @property
-    def cliponaxis(self):
-        """
-        Determines whether the text nodes are clipped about the subplot
-        axes. To show the text nodes above axis lines and tick labels,
-        make sure to set `xaxis.layer` and `yaxis.layer` to *below
-        traces*.
-    
-        The 'cliponaxis' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cliponaxis"]
-
-    @cliponaxis.setter
-    def cliponaxis(self, val):
-        self["cliponaxis"] = val
-
-    # connector
-    # ---------
-    @property
-    def connector(self):
-        """
-        The 'connector' property is an instance of Connector
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Connector`
-          - A dict of string/value properties that will be passed
-            to the Connector constructor
-    
-            Supported dict properties:
-                
-                fillcolor
-                    Sets the fill color.
-                line
-                    :class:`plotly.graph_objects.funnel.connector.L
-                    ine` instance or dict with compatible
-                    properties
-                visible
-                    Determines if connector regions and lines are
-                    drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Connector
-        """
-        return self["connector"]
-
-    @connector.setter
-    def connector(self, val):
-        self["connector"] = val
-
-    # constraintext
-    # -------------
-    @property
-    def constraintext(self):
-        """
-        Constrain the size of text inside or outside a bar to be no
-        larger than the bar itself.
-    
-        The 'constraintext' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'both', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constraintext"]
-
-    @constraintext.setter
-    def constraintext(self, val):
-        self["constraintext"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['name', 'x', 'y', 'text', 'percent initial', 'percent previous', 'percent total'] joined with '+' characters
-            (e.g. 'name+x')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `percentInitial`, `percentPrevious` and
-        `percentTotal`. Anything contained in tag `<extra>` is
-        displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # insidetextanchor
-    # ----------------
-    @property
-    def insidetextanchor(self):
-        """
-        Determines if texts are kept at center or start/end points in
-        `textposition` "inside" mode.
-    
-        The 'insidetextanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['end', 'middle', 'start']
-
-        Returns
-        -------
-        Any
-        """
-        return self["insidetextanchor"]
-
-    @insidetextanchor.setter
-    def insidetextanchor(self, val):
-        self["insidetextanchor"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `text` lying inside the bar.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.funnel.marker.Colo
-                    rBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.funnel.marker.Line
-                    ` instance or dict with compatible properties
-                opacity
-                    Sets the opacity of the bars.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        Shifts the position where the bar is drawn (in position axis
-        units). In "group" barmode, traces that set "offset" will be
-        excluded and drawn in "overlay" mode instead.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # offsetgroup
-    # -----------
-    @property
-    def offsetgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same offsetgroup where bars of the same position
-        coordinate will line up.
-    
-        The 'offsetgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetgroup"]
-
-    @offsetgroup.setter
-    def offsetgroup(self, val):
-        self["offsetgroup"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the funnels. With "v" ("h"), the value
-        of the each bar spans along the vertical (horizontal). By
-        default funnels are tend to be oriented horizontally; unless
-        only "y" array is presented or orientation is set to "v". Also
-        regarding graphs including only 'horizontal' funnels,
-        "autorange" on the "y-axis" are set to "reversed".
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # outsidetextfont
-    # ---------------
-    @property
-    def outsidetextfont(self):
-        """
-        Sets the font used for `text` lying outside the bar.
-    
-        The 'outsidetextfont' property is an instance of Outsidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Outsidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Outsidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Outsidetextfont
-        """
-        return self["outsidetextfont"]
-
-    @outsidetextfont.setter
-    def outsidetextfont(self, val):
-        self["outsidetextfont"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textangle
-    # ---------
-    @property
-    def textangle(self):
-        """
-        Sets the angle of the tick labels with respect to the bar. For
-        example, a `tickangle` of -90 draws the tick labels vertically.
-        With "auto" the texts may automatically be rotated to fit with
-        the maximum size in bars.
-    
-        The 'textangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["textangle"]
-
-    @textangle.setter
-    def textangle(self, val):
-        self["textangle"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `text`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textinfo
-    # --------
-    @property
-    def textinfo(self):
-        """
-        Determines which trace information appear on the graph. In the
-        case of having multiple funnels, percentages & totals are
-        computed separately (per trace).
-    
-        The 'textinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['label', 'text', 'percent initial', 'percent previous', 'percent total', 'value'] joined with '+' characters
-            (e.g. 'label+text')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["textinfo"]
-
-    @textinfo.setter
-    def textinfo(self, val):
-        self["textinfo"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Specifies the location of the `text`. "inside" positions `text`
-        inside, next to the bar end (rotated and scaled if needed).
-        "outside" positions `text` outside, next to the bar end (scaled
-        if needed), unless there is another bar stacked on this one,
-        then the text gets pushed inside. "auto" tries to position
-        `text` inside the bar, but if the bar is too small and no bar
-        is stacked on this one the text is moved outside.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'auto', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `percentInitial`, `percentPrevious`,
-        `percentTotal`, `label` and `value`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the bar width (in position axis units).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        cliponaxis
-            Determines whether the text nodes are clipped about the
-            subplot axes. To show the text nodes above axis lines
-            and tick labels, make sure to set `xaxis.layer` and
-            `yaxis.layer` to *below traces*.
-        connector
-            :class:`plotly.graph_objects.funnel.Connector` instance
-            or dict with compatible properties
-        constraintext
-            Constrain the size of text inside or outside a bar to
-            be no larger than the bar itself.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.funnel.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `percentInitial`,
-            `percentPrevious` and `percentTotal`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextanchor
-            Determines if texts are kept at center or start/end
-            points in `textposition` "inside" mode.
-        insidetextfont
-            Sets the font used for `text` lying inside the bar.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.funnel.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the position where the bar is drawn (in position
-            axis units). In "group" barmode, traces that set
-            "offset" will be excluded and drawn in "overlay" mode
-            instead.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the funnels. With "v" ("h"),
-            the value of the each bar spans along the vertical
-            (horizontal). By default funnels are tend to be
-            oriented horizontally; unless only "y" array is
-            presented or orientation is set to "v". Also regarding
-            graphs including only 'horizontal' funnels, "autorange"
-            on the "y-axis" are set to "reversed".
-        outsidetextfont
-            Sets the font used for `text` lying outside the bar.
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.funnel.Stream` instance or
-            dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textangle
-            Sets the angle of the tick labels with respect to the
-            bar. For example, a `tickangle` of -90 draws the tick
-            labels vertically. With "auto" the texts may
-            automatically be rotated to fit with the maximum size
-            in bars.
-        textfont
-            Sets the font used for `text`.
-        textinfo
-            Determines which trace information appear on the graph.
-            In the case of having multiple funnels, percentages &
-            totals are computed separately (per trace).
-        textposition
-            Specifies the location of the `text`. "inside"
-            positions `text` inside, next to the bar end (rotated
-            and scaled if needed). "outside" positions `text`
-            outside, next to the bar end (scaled if needed), unless
-            there is another bar stacked on this one, then the text
-            gets pushed inside. "auto" tries to position `text`
-            inside the bar, but if the bar is too small and no bar
-            is stacked on this one the text is moved outside.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables
-            `percentInitial`, `percentPrevious`, `percentTotal`,
-            `label` and `value`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar width (in position axis units).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alignmentgroup=None,
-        cliponaxis=None,
-        connector=None,
-        constraintext=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        insidetextanchor=None,
-        insidetextfont=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        offset=None,
-        offsetgroup=None,
-        opacity=None,
-        orientation=None,
-        outsidetextfont=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textangle=None,
-        textfont=None,
-        textinfo=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        width=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Funnel object
-        
-        Visualize stages in a process using length-encoded bars. This
-        trace can be used to show data in either a part-to-whole
-        representation wherein each item appears in a single stage, or
-        in a "drop-off" representation wherein each item appears in
-        each stage it traversed. See also the "funnelarea" trace type
-        for a different approach to visualizing funnel data.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Funnel`
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        cliponaxis
-            Determines whether the text nodes are clipped about the
-            subplot axes. To show the text nodes above axis lines
-            and tick labels, make sure to set `xaxis.layer` and
-            `yaxis.layer` to *below traces*.
-        connector
-            :class:`plotly.graph_objects.funnel.Connector` instance
-            or dict with compatible properties
-        constraintext
-            Constrain the size of text inside or outside a bar to
-            be no larger than the bar itself.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.funnel.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `percentInitial`,
-            `percentPrevious` and `percentTotal`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextanchor
-            Determines if texts are kept at center or start/end
-            points in `textposition` "inside" mode.
-        insidetextfont
-            Sets the font used for `text` lying inside the bar.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.funnel.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the position where the bar is drawn (in position
-            axis units). In "group" barmode, traces that set
-            "offset" will be excluded and drawn in "overlay" mode
-            instead.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the funnels. With "v" ("h"),
-            the value of the each bar spans along the vertical
-            (horizontal). By default funnels are tend to be
-            oriented horizontally; unless only "y" array is
-            presented or orientation is set to "v". Also regarding
-            graphs including only 'horizontal' funnels, "autorange"
-            on the "y-axis" are set to "reversed".
-        outsidetextfont
-            Sets the font used for `text` lying outside the bar.
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.funnel.Stream` instance or
-            dict with compatible properties
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textangle
-            Sets the angle of the tick labels with respect to the
-            bar. For example, a `tickangle` of -90 draws the tick
-            labels vertically. With "auto" the texts may
-            automatically be rotated to fit with the maximum size
-            in bars.
-        textfont
-            Sets the font used for `text`.
-        textinfo
-            Determines which trace information appear on the graph.
-            In the case of having multiple funnels, percentages &
-            totals are computed separately (per trace).
-        textposition
-            Specifies the location of the `text`. "inside"
-            positions `text` inside, next to the bar end (rotated
-            and scaled if needed). "outside" positions `text`
-            outside, next to the bar end (scaled if needed), unless
-            there is another bar stacked on this one, then the text
-            gets pushed inside. "auto" tries to position `text`
-            inside the bar, but if the bar is too small and no bar
-            is stacked on this one the text is moved outside.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables
-            `percentInitial`, `percentPrevious`, `percentTotal`,
-            `label` and `value`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar width (in position axis units).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Funnel
-        """
-        super(Funnel, self).__init__("funnel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Funnel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Funnel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import funnel as v_funnel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alignmentgroup"] = v_funnel.AlignmentgroupValidator()
-        self._validators["cliponaxis"] = v_funnel.CliponaxisValidator()
-        self._validators["connector"] = v_funnel.ConnectorValidator()
-        self._validators["constraintext"] = v_funnel.ConstraintextValidator()
-        self._validators["customdata"] = v_funnel.CustomdataValidator()
-        self._validators["customdatasrc"] = v_funnel.CustomdatasrcValidator()
-        self._validators["dx"] = v_funnel.DxValidator()
-        self._validators["dy"] = v_funnel.DyValidator()
-        self._validators["hoverinfo"] = v_funnel.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_funnel.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_funnel.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_funnel.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_funnel.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_funnel.HovertextValidator()
-        self._validators["hovertextsrc"] = v_funnel.HovertextsrcValidator()
-        self._validators["ids"] = v_funnel.IdsValidator()
-        self._validators["idssrc"] = v_funnel.IdssrcValidator()
-        self._validators["insidetextanchor"] = v_funnel.InsidetextanchorValidator()
-        self._validators["insidetextfont"] = v_funnel.InsidetextfontValidator()
-        self._validators["legendgroup"] = v_funnel.LegendgroupValidator()
-        self._validators["marker"] = v_funnel.MarkerValidator()
-        self._validators["meta"] = v_funnel.MetaValidator()
-        self._validators["metasrc"] = v_funnel.MetasrcValidator()
-        self._validators["name"] = v_funnel.NameValidator()
-        self._validators["offset"] = v_funnel.OffsetValidator()
-        self._validators["offsetgroup"] = v_funnel.OffsetgroupValidator()
-        self._validators["opacity"] = v_funnel.OpacityValidator()
-        self._validators["orientation"] = v_funnel.OrientationValidator()
-        self._validators["outsidetextfont"] = v_funnel.OutsidetextfontValidator()
-        self._validators["selectedpoints"] = v_funnel.SelectedpointsValidator()
-        self._validators["showlegend"] = v_funnel.ShowlegendValidator()
-        self._validators["stream"] = v_funnel.StreamValidator()
-        self._validators["text"] = v_funnel.TextValidator()
-        self._validators["textangle"] = v_funnel.TextangleValidator()
-        self._validators["textfont"] = v_funnel.TextfontValidator()
-        self._validators["textinfo"] = v_funnel.TextinfoValidator()
-        self._validators["textposition"] = v_funnel.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_funnel.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_funnel.TextsrcValidator()
-        self._validators["texttemplate"] = v_funnel.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_funnel.TexttemplatesrcValidator()
-        self._validators["uid"] = v_funnel.UidValidator()
-        self._validators["uirevision"] = v_funnel.UirevisionValidator()
-        self._validators["visible"] = v_funnel.VisibleValidator()
-        self._validators["width"] = v_funnel.WidthValidator()
-        self._validators["x"] = v_funnel.XValidator()
-        self._validators["x0"] = v_funnel.X0Validator()
-        self._validators["xaxis"] = v_funnel.XAxisValidator()
-        self._validators["xsrc"] = v_funnel.XsrcValidator()
-        self._validators["y"] = v_funnel.YValidator()
-        self._validators["y0"] = v_funnel.Y0Validator()
-        self._validators["yaxis"] = v_funnel.YAxisValidator()
-        self._validators["ysrc"] = v_funnel.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alignmentgroup", None)
-        self["alignmentgroup"] = alignmentgroup if alignmentgroup is not None else _v
-        _v = arg.pop("cliponaxis", None)
-        self["cliponaxis"] = cliponaxis if cliponaxis is not None else _v
-        _v = arg.pop("connector", None)
-        self["connector"] = connector if connector is not None else _v
-        _v = arg.pop("constraintext", None)
-        self["constraintext"] = constraintext if constraintext is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("insidetextanchor", None)
-        self["insidetextanchor"] = (
-            insidetextanchor if insidetextanchor is not None else _v
-        )
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("offsetgroup", None)
-        self["offsetgroup"] = offsetgroup if offsetgroup is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("outsidetextfont", None)
-        self["outsidetextfont"] = outsidetextfont if outsidetextfont is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textangle", None)
-        self["textangle"] = textangle if textangle is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textinfo", None)
-        self["textinfo"] = textinfo if textinfo is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "funnel"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="funnel", val="funnel"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Densitymapbox(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # below
-    # -----
-    @property
-    def below(self):
-        """
-        Determines if the densitymapbox trace will be inserted before
-        the layer with the specified ID. By default, densitymapbox
-        traces are placed below the first layer of type symbol If set
-        to '', the layer will be inserted above every existing layer.
-    
-        The 'below' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["below"]
-
-    @below.setter
-    def below(self, val):
-        self["below"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.density
-                    mapbox.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.densitymapbox.colorbar.tickformatstopdefaults
-                    ), sets the default property values to use for
-                    elements of
-                    densitymapbox.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.densitymapbox.colo
-                    rbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    densitymapbox.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    densitymapbox.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['lon', 'lat', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'lon+lat')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (lon,lat) pair If
-        a single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (lon,lat) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # lat
-    # ---
-    @property
-    def lat(self):
-        """
-        Sets the latitude coordinates (in degrees North).
-    
-        The 'lat' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lat"]
-
-    @lat.setter
-    def lat(self, val):
-        self["lat"] = val
-
-    # latsrc
-    # ------
-    @property
-    def latsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lat .
-    
-        The 'latsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["latsrc"]
-
-    @latsrc.setter
-    def latsrc(self, val):
-        self["latsrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lon
-    # ---
-    @property
-    def lon(self):
-        """
-        Sets the longitude coordinates (in degrees East).
-    
-        The 'lon' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lon"]
-
-    @lon.setter
-    def lon(self, val):
-        self["lon"] = val
-
-    # lonsrc
-    # ------
-    @property
-    def lonsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lon .
-    
-        The 'lonsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["lonsrc"]
-
-    @lonsrc.setter
-    def lonsrc(self, val):
-        self["lonsrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # radius
-    # ------
-    @property
-    def radius(self):
-        """
-        Sets the radius of influence of one `lon` / `lat` point in
-        pixels. Increasing the value makes the densitymapbox trace
-        smoother, but less detailed.
-    
-        The 'radius' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["radius"]
-
-    @radius.setter
-    def radius(self, val):
-        self["radius"] = val
-
-    # radiussrc
-    # ---------
-    @property
-    def radiussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  radius .
-    
-        The 'radiussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["radiussrc"]
-
-    @radiussrc.setter
-    def radiussrc(self, val):
-        self["radiussrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        mapbox subplot. If "mapbox" (the default value), the data refer
-        to `layout.mapbox`. If "mapbox2", the data refer to
-        `layout.mapbox2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'mapbox', that may be specified as the string 'mapbox'
-        optionally followed by an integer >= 1
-        (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (lon,lat) pair If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (lon,lat) coordinates. If trace `hoverinfo`
-        contains a "text" flag and "hovertext" is not set, these
-        elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the points' weight. For example, a value of 10 would be
-        equivalent to having 10 points of weight 1 in the same spot
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        below
-            Determines if the densitymapbox trace will be inserted
-            before the layer with the specified ID. By default,
-            densitymapbox traces are placed below the first layer
-            of type symbol If set to '', the layer will be inserted
-            above every existing layer.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.densitymapbox.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.densitymapbox.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (lon,lat)
-            pair If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (lon,lat)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        lat
-            Sets the latitude coordinates (in degrees North).
-        latsrc
-            Sets the source reference on Chart Studio Cloud for
-            lat .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lon
-            Sets the longitude coordinates (in degrees East).
-        lonsrc
-            Sets the source reference on Chart Studio Cloud for
-            lon .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        radius
-            Sets the radius of influence of one `lon` / `lat` point
-            in pixels. Increasing the value makes the densitymapbox
-            trace smoother, but less detailed.
-        radiussrc
-            Sets the source reference on Chart Studio Cloud for
-            radius .
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.densitymapbox.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a mapbox subplot. If "mapbox" (the default value),
-            the data refer to `layout.mapbox`. If "mapbox2", the
-            data refer to `layout.mapbox2`, and so on.
-        text
-            Sets text elements associated with each (lon,lat) pair
-            If a single string, the same string appears over all
-            the data points. If an array of string, the items are
-            mapped in order to the this trace's (lon,lat)
-            coordinates. If trace `hoverinfo` contains a "text"
-            flag and "hovertext" is not set, these elements will be
-            seen in the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        z
-            Sets the points' weight. For example, a value of 10
-            would be equivalent to having 10 points of weight 1 in
-            the same spot
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        below=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        lat=None,
-        latsrc=None,
-        legendgroup=None,
-        lon=None,
-        lonsrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        radius=None,
-        radiussrc=None,
-        reversescale=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        subplot=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        z=None,
-        zauto=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Densitymapbox object
-        
-        Draws a bivariate kernel density estimation with a Gaussian
-        kernel from `lon` and `lat` coordinates and optional `z` values
-        using a colorscale.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Densitymapbox`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        below
-            Determines if the densitymapbox trace will be inserted
-            before the layer with the specified ID. By default,
-            densitymapbox traces are placed below the first layer
-            of type symbol If set to '', the layer will be inserted
-            above every existing layer.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.densitymapbox.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.densitymapbox.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (lon,lat)
-            pair If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (lon,lat)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        lat
-            Sets the latitude coordinates (in degrees North).
-        latsrc
-            Sets the source reference on Chart Studio Cloud for
-            lat .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lon
-            Sets the longitude coordinates (in degrees East).
-        lonsrc
-            Sets the source reference on Chart Studio Cloud for
-            lon .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        radius
-            Sets the radius of influence of one `lon` / `lat` point
-            in pixels. Increasing the value makes the densitymapbox
-            trace smoother, but less detailed.
-        radiussrc
-            Sets the source reference on Chart Studio Cloud for
-            radius .
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.densitymapbox.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a mapbox subplot. If "mapbox" (the default value),
-            the data refer to `layout.mapbox`. If "mapbox2", the
-            data refer to `layout.mapbox2`, and so on.
-        text
-            Sets text elements associated with each (lon,lat) pair
-            If a single string, the same string appears over all
-            the data points. If an array of string, the items are
-            mapped in order to the this trace's (lon,lat)
-            coordinates. If trace `hoverinfo` contains a "text"
-            flag and "hovertext" is not set, these elements will be
-            seen in the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        z
-            Sets the points' weight. For example, a value of 10
-            would be equivalent to having 10 points of weight 1 in
-            the same spot
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Densitymapbox
-        """
-        super(Densitymapbox, self).__init__("densitymapbox")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Densitymapbox 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Densitymapbox`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import densitymapbox as v_densitymapbox
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_densitymapbox.AutocolorscaleValidator()
-        self._validators["below"] = v_densitymapbox.BelowValidator()
-        self._validators["coloraxis"] = v_densitymapbox.ColoraxisValidator()
-        self._validators["colorbar"] = v_densitymapbox.ColorBarValidator()
-        self._validators["colorscale"] = v_densitymapbox.ColorscaleValidator()
-        self._validators["customdata"] = v_densitymapbox.CustomdataValidator()
-        self._validators["customdatasrc"] = v_densitymapbox.CustomdatasrcValidator()
-        self._validators["hoverinfo"] = v_densitymapbox.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_densitymapbox.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_densitymapbox.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_densitymapbox.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_densitymapbox.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_densitymapbox.HovertextValidator()
-        self._validators["hovertextsrc"] = v_densitymapbox.HovertextsrcValidator()
-        self._validators["ids"] = v_densitymapbox.IdsValidator()
-        self._validators["idssrc"] = v_densitymapbox.IdssrcValidator()
-        self._validators["lat"] = v_densitymapbox.LatValidator()
-        self._validators["latsrc"] = v_densitymapbox.LatsrcValidator()
-        self._validators["legendgroup"] = v_densitymapbox.LegendgroupValidator()
-        self._validators["lon"] = v_densitymapbox.LonValidator()
-        self._validators["lonsrc"] = v_densitymapbox.LonsrcValidator()
-        self._validators["meta"] = v_densitymapbox.MetaValidator()
-        self._validators["metasrc"] = v_densitymapbox.MetasrcValidator()
-        self._validators["name"] = v_densitymapbox.NameValidator()
-        self._validators["opacity"] = v_densitymapbox.OpacityValidator()
-        self._validators["radius"] = v_densitymapbox.RadiusValidator()
-        self._validators["radiussrc"] = v_densitymapbox.RadiussrcValidator()
-        self._validators["reversescale"] = v_densitymapbox.ReversescaleValidator()
-        self._validators["showlegend"] = v_densitymapbox.ShowlegendValidator()
-        self._validators["showscale"] = v_densitymapbox.ShowscaleValidator()
-        self._validators["stream"] = v_densitymapbox.StreamValidator()
-        self._validators["subplot"] = v_densitymapbox.SubplotValidator()
-        self._validators["text"] = v_densitymapbox.TextValidator()
-        self._validators["textsrc"] = v_densitymapbox.TextsrcValidator()
-        self._validators["uid"] = v_densitymapbox.UidValidator()
-        self._validators["uirevision"] = v_densitymapbox.UirevisionValidator()
-        self._validators["visible"] = v_densitymapbox.VisibleValidator()
-        self._validators["z"] = v_densitymapbox.ZValidator()
-        self._validators["zauto"] = v_densitymapbox.ZautoValidator()
-        self._validators["zmax"] = v_densitymapbox.ZmaxValidator()
-        self._validators["zmid"] = v_densitymapbox.ZmidValidator()
-        self._validators["zmin"] = v_densitymapbox.ZminValidator()
-        self._validators["zsrc"] = v_densitymapbox.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("below", None)
-        self["below"] = below if below is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("lat", None)
-        self["lat"] = lat if lat is not None else _v
-        _v = arg.pop("latsrc", None)
-        self["latsrc"] = latsrc if latsrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lon", None)
-        self["lon"] = lon if lon is not None else _v
-        _v = arg.pop("lonsrc", None)
-        self["lonsrc"] = lonsrc if lonsrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("radius", None)
-        self["radius"] = radius if radius is not None else _v
-        _v = arg.pop("radiussrc", None)
-        self["radiussrc"] = radiussrc if radiussrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "densitymapbox"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="densitymapbox", val="densitymapbox"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Contourcarpet(_BaseTraceType):
-
-    # a
-    # -
-    @property
-    def a(self):
-        """
-        Sets the x coordinates.
-    
-        The 'a' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["a"]
-
-    @a.setter
-    def a(self, val):
-        self["a"] = val
-
-    # a0
-    # --
-    @property
-    def a0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'a0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["a0"]
-
-    @a0.setter
-    def a0(self, val):
-        self["a0"] = val
-
-    # asrc
-    # ----
-    @property
-    def asrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  a .
-    
-        The 'asrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["asrc"]
-
-    @asrc.setter
-    def asrc(self, val):
-        self["asrc"] = val
-
-    # atype
-    # -----
-    @property
-    def atype(self):
-        """
-        If "array", the heatmap's x coordinates are given by "x" (the
-        default behavior when `x` is provided). If "scaled", the
-        heatmap's x coordinates are given by "x0" and "dx" (the default
-        behavior when `x` is not provided).
-    
-        The 'atype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["atype"]
-
-    @atype.setter
-    def atype(self, val):
-        self["atype"] = val
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # autocontour
-    # -----------
-    @property
-    def autocontour(self):
-        """
-        Determines whether or not the contour level attributes are
-        picked by an algorithm. If True, the number of contour levels
-        can be set in `ncontours`. If False, set the contour level
-        attributes in `contours`.
-    
-        The 'autocontour' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocontour"]
-
-    @autocontour.setter
-    def autocontour(self, val):
-        self["autocontour"] = val
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        Sets the y coordinates.
-    
-        The 'b' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # b0
-    # --
-    @property
-    def b0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'b0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["b0"]
-
-    @b0.setter
-    def b0(self, val):
-        self["b0"] = val
-
-    # bsrc
-    # ----
-    @property
-    def bsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  b .
-    
-        The 'bsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bsrc"]
-
-    @bsrc.setter
-    def bsrc(self, val):
-        self["bsrc"] = val
-
-    # btype
-    # -----
-    @property
-    def btype(self):
-        """
-        If "array", the heatmap's y coordinates are given by "y" (the
-        default behavior when `y` is provided) If "scaled", the
-        heatmap's y coordinates are given by "y0" and "dy" (the default
-        behavior when `y` is not provided)
-    
-        The 'btype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["btype"]
-
-    @btype.setter
-    def btype(self, val):
-        self["btype"] = val
-
-    # carpet
-    # ------
-    @property
-    def carpet(self):
-        """
-        The `carpet` of the carpet axes on which this contour trace
-        lies
-    
-        The 'carpet' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["carpet"]
-
-    @carpet.setter
-    def carpet(self, val):
-        self["carpet"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.contour
-                    carpet.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.contourcarpet.colorbar.tickformatstopdefaults
-                    ), sets the default property values to use for
-                    elements of
-                    contourcarpet.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.contourcarpet.colo
-                    rbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    contourcarpet.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    contourcarpet.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # contours
-    # --------
-    @property
-    def contours(self):
-        """
-        The 'contours' property is an instance of Contours
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.Contours`
-          - A dict of string/value properties that will be passed
-            to the Contours constructor
-    
-            Supported dict properties:
-                
-                coloring
-                    Determines the coloring method showing the
-                    contour values. If "fill", coloring is done
-                    evenly between each contour level If "lines",
-                    coloring is done on the contour lines. If
-                    "none", no coloring is applied on this trace.
-                end
-                    Sets the end contour level value. Must be more
-                    than `contours.start`
-                labelfont
-                    Sets the font used for labeling the contour
-                    levels. The default color comes from the lines,
-                    if shown. The default family and size come from
-                    `layout.font`.
-                labelformat
-                    Sets the contour label formatting rule using d3
-                    formatting mini-language which is very similar
-                    to Python, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                operation
-                    Sets the constraint operation. "=" keeps
-                    regions equal to `value` "<" and "<=" keep
-                    regions less than `value` ">" and ">=" keep
-                    regions greater than `value` "[]", "()", "[)",
-                    and "(]" keep regions inside `value[0]` to
-                    `value[1]` "][", ")(", "](", ")[" keep regions
-                    outside `value[0]` to value[1]` Open vs. closed
-                    intervals make no difference to constraint
-                    display, but all versions are allowed for
-                    consistency with filter transforms.
-                showlabels
-                    Determines whether to label the contour lines
-                    with their values.
-                showlines
-                    Determines whether or not the contour lines are
-                    drawn. Has an effect only if
-                    `contours.coloring` is set to "fill".
-                size
-                    Sets the step between each contour level. Must
-                    be positive.
-                start
-                    Sets the starting contour level value. Must be
-                    less than `contours.end`
-                type
-                    If `levels`, the data is represented as a
-                    contour plot with multiple levels displayed. If
-                    `constraint`, the data is represented as
-                    constraints with the invalid region shaded as
-                    specified by the `operation` and `value`
-                    parameters.
-                value
-                    Sets the value or values of the constraint
-                    boundary. When `operation` is set to one of the
-                    comparison values (=,<,>=,>,<=) "value" is
-                    expected to be a number. When `operation` is
-                    set to one of the interval values
-                    ([],(),[),(],][,)(,](,)[) "value" is expected
-                    to be an array of two numbers where the first
-                    is the lower bound and the second is the upper
-                    bound.
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.Contours
-        """
-        return self["contours"]
-
-    @contours.setter
-    def contours(self, val):
-        self["contours"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # da
-    # --
-    @property
-    def da(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'da' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["da"]
-
-    @da.setter
-    def da(self, val):
-        self["da"] = val
-
-    # db
-    # --
-    @property
-    def db(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'db' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["db"]
-
-    @db.setter
-    def db(self, val):
-        self["db"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color if `contours.type` is "constraint".
-        Defaults to a half-transparent variant of the line color,
-        marker color, or marker line color, whichever is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to contourcarpet.colorscale
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour level. Has no
-                    effect if `contours.coloring` is set to
-                    "lines".
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                smoothing
-                    Sets the amount of smoothing for the contour
-                    lines, where 0 corresponds to no smoothing.
-                width
-                    Sets the contour line width in (in px) Defaults
-                    to 0.5 when `contours.type` is "levels".
-                    Defaults to 2 when `contour.type` is
-                    "constraint".
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # ncontours
-    # ---------
-    @property
-    def ncontours(self):
-        """
-        Sets the maximum number of contour levels. The actual number of
-        contours will be chosen automatically to be less than or equal
-        to the value of `ncontours`. Has an effect only if
-        `autocontour` is True or if `contours.size` is missing.
-    
-        The 'ncontours' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["ncontours"]
-
-    @ncontours.setter
-    def ncontours(self, val):
-        self["ncontours"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each z value.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # transpose
-    # ---------
-    @property
-    def transpose(self):
-        """
-        Transposes the z data.
-    
-        The 'transpose' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["transpose"]
-
-    @transpose.setter
-    def transpose(self, val):
-        self["transpose"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z data.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        a
-            Sets the x coordinates.
-        a0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        atype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        autocontour
-            Determines whether or not the contour level attributes
-            are picked by an algorithm. If True, the number of
-            contour levels can be set in `ncontours`. If False, set
-            the contour level attributes in `contours`.
-        b
-            Sets the y coordinates.
-        b0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        btype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        carpet
-            The `carpet` of the carpet axes on which this contour
-            trace lies
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.contourcarpet.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contours
-            :class:`plotly.graph_objects.contourcarpet.Contours`
-            instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        da
-            Sets the x coordinate step. See `x0` for more info.
-        db
-            Sets the y coordinate step. See `y0` for more info.
-        fillcolor
-            Sets the fill color if `contours.type` is "constraint".
-            Defaults to a half-transparent variant of the line
-            color, marker color, or marker line color, whichever is
-            available.
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.contourcarpet.Line`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        ncontours
-            Sets the maximum number of contour levels. The actual
-            number of contours will be chosen automatically to be
-            less than or equal to the value of `ncontours`. Has an
-            effect only if `autocontour` is True or if
-            `contours.size` is missing.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.contourcarpet.Stream`
-            instance or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        a=None,
-        a0=None,
-        asrc=None,
-        atype=None,
-        autocolorscale=None,
-        autocontour=None,
-        b=None,
-        b0=None,
-        bsrc=None,
-        btype=None,
-        carpet=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        contours=None,
-        customdata=None,
-        customdatasrc=None,
-        da=None,
-        db=None,
-        fillcolor=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        ncontours=None,
-        opacity=None,
-        reversescale=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        transpose=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        xaxis=None,
-        yaxis=None,
-        z=None,
-        zauto=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Contourcarpet object
-        
-        Plots contours on either the first carpet axis or the carpet
-        axis with a matching `carpet` attribute. Data `z` is
-        interpreted as matching that of the corresponding carpet axis.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Contourcarpet`
-        a
-            Sets the x coordinates.
-        a0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        atype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        autocontour
-            Determines whether or not the contour level attributes
-            are picked by an algorithm. If True, the number of
-            contour levels can be set in `ncontours`. If False, set
-            the contour level attributes in `contours`.
-        b
-            Sets the y coordinates.
-        b0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        btype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        carpet
-            The `carpet` of the carpet axes on which this contour
-            trace lies
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.contourcarpet.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        contours
-            :class:`plotly.graph_objects.contourcarpet.Contours`
-            instance or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        da
-            Sets the x coordinate step. See `x0` for more info.
-        db
-            Sets the y coordinate step. See `y0` for more info.
-        fillcolor
-            Sets the fill color if `contours.type` is "constraint".
-            Defaults to a half-transparent variant of the line
-            color, marker color, or marker line color, whichever is
-            available.
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.contourcarpet.Line`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        ncontours
-            Sets the maximum number of contour levels. The actual
-            number of contours will be chosen automatically to be
-            less than or equal to the value of `ncontours`. Has an
-            effect only if `autocontour` is True or if
-            `contours.size` is missing.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.contourcarpet.Stream`
-            instance or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Contourcarpet
-        """
-        super(Contourcarpet, self).__init__("contourcarpet")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Contourcarpet 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Contourcarpet`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import contourcarpet as v_contourcarpet
-
-        # Initialize validators
-        # ---------------------
-        self._validators["a"] = v_contourcarpet.AValidator()
-        self._validators["a0"] = v_contourcarpet.A0Validator()
-        self._validators["asrc"] = v_contourcarpet.AsrcValidator()
-        self._validators["atype"] = v_contourcarpet.AtypeValidator()
-        self._validators["autocolorscale"] = v_contourcarpet.AutocolorscaleValidator()
-        self._validators["autocontour"] = v_contourcarpet.AutocontourValidator()
-        self._validators["b"] = v_contourcarpet.BValidator()
-        self._validators["b0"] = v_contourcarpet.B0Validator()
-        self._validators["bsrc"] = v_contourcarpet.BsrcValidator()
-        self._validators["btype"] = v_contourcarpet.BtypeValidator()
-        self._validators["carpet"] = v_contourcarpet.CarpetValidator()
-        self._validators["coloraxis"] = v_contourcarpet.ColoraxisValidator()
-        self._validators["colorbar"] = v_contourcarpet.ColorBarValidator()
-        self._validators["colorscale"] = v_contourcarpet.ColorscaleValidator()
-        self._validators["contours"] = v_contourcarpet.ContoursValidator()
-        self._validators["customdata"] = v_contourcarpet.CustomdataValidator()
-        self._validators["customdatasrc"] = v_contourcarpet.CustomdatasrcValidator()
-        self._validators["da"] = v_contourcarpet.DaValidator()
-        self._validators["db"] = v_contourcarpet.DbValidator()
-        self._validators["fillcolor"] = v_contourcarpet.FillcolorValidator()
-        self._validators["hovertext"] = v_contourcarpet.HovertextValidator()
-        self._validators["hovertextsrc"] = v_contourcarpet.HovertextsrcValidator()
-        self._validators["ids"] = v_contourcarpet.IdsValidator()
-        self._validators["idssrc"] = v_contourcarpet.IdssrcValidator()
-        self._validators["legendgroup"] = v_contourcarpet.LegendgroupValidator()
-        self._validators["line"] = v_contourcarpet.LineValidator()
-        self._validators["meta"] = v_contourcarpet.MetaValidator()
-        self._validators["metasrc"] = v_contourcarpet.MetasrcValidator()
-        self._validators["name"] = v_contourcarpet.NameValidator()
-        self._validators["ncontours"] = v_contourcarpet.NcontoursValidator()
-        self._validators["opacity"] = v_contourcarpet.OpacityValidator()
-        self._validators["reversescale"] = v_contourcarpet.ReversescaleValidator()
-        self._validators["showlegend"] = v_contourcarpet.ShowlegendValidator()
-        self._validators["showscale"] = v_contourcarpet.ShowscaleValidator()
-        self._validators["stream"] = v_contourcarpet.StreamValidator()
-        self._validators["text"] = v_contourcarpet.TextValidator()
-        self._validators["textsrc"] = v_contourcarpet.TextsrcValidator()
-        self._validators["transpose"] = v_contourcarpet.TransposeValidator()
-        self._validators["uid"] = v_contourcarpet.UidValidator()
-        self._validators["uirevision"] = v_contourcarpet.UirevisionValidator()
-        self._validators["visible"] = v_contourcarpet.VisibleValidator()
-        self._validators["xaxis"] = v_contourcarpet.XAxisValidator()
-        self._validators["yaxis"] = v_contourcarpet.YAxisValidator()
-        self._validators["z"] = v_contourcarpet.ZValidator()
-        self._validators["zauto"] = v_contourcarpet.ZautoValidator()
-        self._validators["zmax"] = v_contourcarpet.ZmaxValidator()
-        self._validators["zmid"] = v_contourcarpet.ZmidValidator()
-        self._validators["zmin"] = v_contourcarpet.ZminValidator()
-        self._validators["zsrc"] = v_contourcarpet.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("a", None)
-        self["a"] = a if a is not None else _v
-        _v = arg.pop("a0", None)
-        self["a0"] = a0 if a0 is not None else _v
-        _v = arg.pop("asrc", None)
-        self["asrc"] = asrc if asrc is not None else _v
-        _v = arg.pop("atype", None)
-        self["atype"] = atype if atype is not None else _v
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("autocontour", None)
-        self["autocontour"] = autocontour if autocontour is not None else _v
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("b0", None)
-        self["b0"] = b0 if b0 is not None else _v
-        _v = arg.pop("bsrc", None)
-        self["bsrc"] = bsrc if bsrc is not None else _v
-        _v = arg.pop("btype", None)
-        self["btype"] = btype if btype is not None else _v
-        _v = arg.pop("carpet", None)
-        self["carpet"] = carpet if carpet is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("contours", None)
-        self["contours"] = contours if contours is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("da", None)
-        self["da"] = da if da is not None else _v
-        _v = arg.pop("db", None)
-        self["db"] = db if db is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("ncontours", None)
-        self["ncontours"] = ncontours if ncontours is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("transpose", None)
-        self["transpose"] = transpose if transpose is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "contourcarpet"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="contourcarpet", val="contourcarpet"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Contour(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # autocontour
-    # -----------
-    @property
-    def autocontour(self):
-        """
-        Determines whether or not the contour level attributes are
-        picked by an algorithm. If True, the number of contour levels
-        can be set in `ncontours`. If False, set the contour level
-        attributes in `contours`.
-    
-        The 'autocontour' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocontour"]
-
-    @autocontour.setter
-    def autocontour(self, val):
-        self["autocontour"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.contour
-                    .colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.contour.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of contour.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.contour.colorbar.T
-                    itle` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    contour.colorbar.title.font instead. Sets this
-                    color bar's title font. Note that the title's
-                    font used to be set by the now deprecated
-                    `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    contour.colorbar.title.side instead. Determines
-                    the location of color bar's title with respect
-                    to the color bar. Note that the title's
-                    location used to be set by the now deprecated
-                    `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.contour.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # connectgaps
-    # -----------
-    @property
-    def connectgaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the `z` data are filled in. It is defaulted to true if `z`
-        is a one dimensional array otherwise it is defaulted to false.
-    
-        The 'connectgaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["connectgaps"]
-
-    @connectgaps.setter
-    def connectgaps(self, val):
-        self["connectgaps"] = val
-
-    # contours
-    # --------
-    @property
-    def contours(self):
-        """
-        The 'contours' property is an instance of Contours
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.Contours`
-          - A dict of string/value properties that will be passed
-            to the Contours constructor
-    
-            Supported dict properties:
-                
-                coloring
-                    Determines the coloring method showing the
-                    contour values. If "fill", coloring is done
-                    evenly between each contour level If "heatmap",
-                    a heatmap gradient coloring is applied between
-                    each contour level. If "lines", coloring is
-                    done on the contour lines. If "none", no
-                    coloring is applied on this trace.
-                end
-                    Sets the end contour level value. Must be more
-                    than `contours.start`
-                labelfont
-                    Sets the font used for labeling the contour
-                    levels. The default color comes from the lines,
-                    if shown. The default family and size come from
-                    `layout.font`.
-                labelformat
-                    Sets the contour label formatting rule using d3
-                    formatting mini-language which is very similar
-                    to Python, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                operation
-                    Sets the constraint operation. "=" keeps
-                    regions equal to `value` "<" and "<=" keep
-                    regions less than `value` ">" and ">=" keep
-                    regions greater than `value` "[]", "()", "[)",
-                    and "(]" keep regions inside `value[0]` to
-                    `value[1]` "][", ")(", "](", ")[" keep regions
-                    outside `value[0]` to value[1]` Open vs. closed
-                    intervals make no difference to constraint
-                    display, but all versions are allowed for
-                    consistency with filter transforms.
-                showlabels
-                    Determines whether to label the contour lines
-                    with their values.
-                showlines
-                    Determines whether or not the contour lines are
-                    drawn. Has an effect only if
-                    `contours.coloring` is set to "fill".
-                size
-                    Sets the step between each contour level. Must
-                    be positive.
-                start
-                    Sets the starting contour level value. Must be
-                    less than `contours.end`
-                type
-                    If `levels`, the data is represented as a
-                    contour plot with multiple levels displayed. If
-                    `constraint`, the data is represented as
-                    constraints with the invalid region shaded as
-                    specified by the `operation` and `value`
-                    parameters.
-                value
-                    Sets the value or values of the constraint
-                    boundary. When `operation` is set to one of the
-                    comparison values (=,<,>=,>,<=) "value" is
-                    expected to be a number. When `operation` is
-                    set to one of the interval values
-                    ([],(),[),(],][,)(,](,)[) "value" is expected
-                    to be an array of two numbers where the first
-                    is the lower bound and the second is the upper
-                    bound.
-
-        Returns
-        -------
-        plotly.graph_objs.contour.Contours
-        """
-        return self["contours"]
-
-    @contours.setter
-    def contours(self, val):
-        self["contours"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color if `contours.type` is "constraint".
-        Defaults to a half-transparent variant of the line color,
-        marker color, or marker line color, whichever is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to contour.colorscale
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.contour.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoverongaps
-    # -----------
-    @property
-    def hoverongaps(self):
-        """
-        Determines whether or not gaps (i.e. {nan} or missing values)
-        in the `z` data have hover labels associated with them.
-    
-        The 'hoverongaps' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["hoverongaps"]
-
-    @hoverongaps.setter
-    def hoverongaps(self, val):
-        self["hoverongaps"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour level. Has no
-                    effect if `contours.coloring` is set to
-                    "lines".
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                smoothing
-                    Sets the amount of smoothing for the contour
-                    lines, where 0 corresponds to no smoothing.
-                width
-                    Sets the contour line width in (in px) Defaults
-                    to 0.5 when `contours.type` is "levels".
-                    Defaults to 2 when `contour.type` is
-                    "constraint".
-
-        Returns
-        -------
-        plotly.graph_objs.contour.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # ncontours
-    # ---------
-    @property
-    def ncontours(self):
-        """
-        Sets the maximum number of contour levels. The actual number of
-        contours will be chosen automatically to be less than or equal
-        to the value of `ncontours`. Has an effect only if
-        `autocontour` is True or if `contours.size` is missing.
-    
-        The 'ncontours' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["ncontours"]
-
-    @ncontours.setter
-    def ncontours(self, val):
-        self["ncontours"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.contour.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each z value.
-    
-        The 'text' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # transpose
-    # ---------
-    @property
-    def transpose(self):
-        """
-        Transposes the z data.
-    
-        The 'transpose' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["transpose"]
-
-    @transpose.setter
-    def transpose(self, val):
-        self["transpose"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # xtype
-    # -----
-    @property
-    def xtype(self):
-        """
-        If "array", the heatmap's x coordinates are given by "x" (the
-        default behavior when `x` is provided). If "scaled", the
-        heatmap's x coordinates are given by "x0" and "dx" (the default
-        behavior when `x` is not provided).
-    
-        The 'xtype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xtype"]
-
-    @xtype.setter
-    def xtype(self, val):
-        self["xtype"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # ytype
-    # -----
-    @property
-    def ytype(self):
-        """
-        If "array", the heatmap's y coordinates are given by "y" (the
-        default behavior when `y` is provided) If "scaled", the
-        heatmap's y coordinates are given by "y0" and "dy" (the default
-        behavior when `y` is not provided)
-    
-        The 'ytype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['array', 'scaled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ytype"]
-
-    @ytype.setter
-    def ytype(self, val):
-        self["ytype"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z data.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zhoverformat
-    # ------------
-    @property
-    def zhoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. See:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'zhoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["zhoverformat"]
-
-    @zhoverformat.setter
-    def zhoverformat(self, val):
-        self["zhoverformat"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        autocontour
-            Determines whether or not the contour level attributes
-            are picked by an algorithm. If True, the number of
-            contour levels can be set in `ncontours`. If False, set
-            the contour level attributes in `contours`.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.contour.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data are filled in. It is defaulted
-            to true if `z` is a one dimensional array otherwise it
-            is defaulted to false.
-        contours
-            :class:`plotly.graph_objects.contour.Contours` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        fillcolor
-            Sets the fill color if `contours.type` is "constraint".
-            Defaults to a half-transparent variant of the line
-            color, marker color, or marker line color, whichever is
-            available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.contour.Hoverlabel`
-            instance or dict with compatible properties
-        hoverongaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data have hover labels associated
-            with them.
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.contour.Line` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        ncontours
-            Sets the maximum number of contour levels. The actual
-            number of contours will be chosen automatically to be
-            less than or equal to the value of `ncontours`. Has an
-            effect only if `autocontour` is True or if
-            `contours.size` is missing.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.contour.Stream` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xtype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        ytype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        autocontour=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        connectgaps=None,
-        contours=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoverongaps=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        line=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        ncontours=None,
-        opacity=None,
-        reversescale=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        transpose=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        xtype=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ycalendar=None,
-        ysrc=None,
-        ytype=None,
-        z=None,
-        zauto=None,
-        zhoverformat=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Contour object
-        
-        The data from which contour lines are computed is set in `z`.
-        Data in `z` must be a 2D list of numbers. Say that `z` has N
-        rows and M columns, then by default, these N rows correspond to
-        N y coordinates (set in `y` or auto-generated) and the M
-        columns correspond to M x coordinates (set in `x` or auto-
-        generated). By setting `transpose` to True, the above behavior
-        is flipped.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Contour`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        autocontour
-            Determines whether or not the contour level attributes
-            are picked by an algorithm. If True, the number of
-            contour levels can be set in `ncontours`. If False, set
-            the contour level attributes in `contours`.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.contour.ColorBar` instance
-            or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        connectgaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data are filled in. It is defaulted
-            to true if `z` is a one dimensional array otherwise it
-            is defaulted to false.
-        contours
-            :class:`plotly.graph_objects.contour.Contours` instance
-            or dict with compatible properties
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        fillcolor
-            Sets the fill color if `contours.type` is "constraint".
-            Defaults to a half-transparent variant of the line
-            color, marker color, or marker line color, whichever is
-            available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.contour.Hoverlabel`
-            instance or dict with compatible properties
-        hoverongaps
-            Determines whether or not gaps (i.e. {nan} or missing
-            values) in the `z` data have hover labels associated
-            with them.
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.contour.Line` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        ncontours
-            Sets the maximum number of contour levels. The actual
-            number of contours will be chosen automatically to be
-            less than or equal to the value of `ncontours`. Has an
-            effect only if `autocontour` is True or if
-            `contours.size` is missing.
-        opacity
-            Sets the opacity of the trace.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.contour.Stream` instance
-            or dict with compatible properties
-        text
-            Sets the text elements associated with each z value.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        transpose
-            Transposes the z data.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        xtype
-            If "array", the heatmap's x coordinates are given by
-            "x" (the default behavior when `x` is provided). If
-            "scaled", the heatmap's x coordinates are given by "x0"
-            and "dx" (the default behavior when `x` is not
-            provided).
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        ytype
-            If "array", the heatmap's y coordinates are given by
-            "y" (the default behavior when `y` is provided) If
-            "scaled", the heatmap's y coordinates are given by "y0"
-            and "dy" (the default behavior when `y` is not
-            provided)
-        z
-            Sets the z data.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zhoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. See: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Contour
-        """
-        super(Contour, self).__init__("contour")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Contour 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Contour`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import contour as v_contour
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_contour.AutocolorscaleValidator()
-        self._validators["autocontour"] = v_contour.AutocontourValidator()
-        self._validators["coloraxis"] = v_contour.ColoraxisValidator()
-        self._validators["colorbar"] = v_contour.ColorBarValidator()
-        self._validators["colorscale"] = v_contour.ColorscaleValidator()
-        self._validators["connectgaps"] = v_contour.ConnectgapsValidator()
-        self._validators["contours"] = v_contour.ContoursValidator()
-        self._validators["customdata"] = v_contour.CustomdataValidator()
-        self._validators["customdatasrc"] = v_contour.CustomdatasrcValidator()
-        self._validators["dx"] = v_contour.DxValidator()
-        self._validators["dy"] = v_contour.DyValidator()
-        self._validators["fillcolor"] = v_contour.FillcolorValidator()
-        self._validators["hoverinfo"] = v_contour.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_contour.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_contour.HoverlabelValidator()
-        self._validators["hoverongaps"] = v_contour.HoverongapsValidator()
-        self._validators["hovertemplate"] = v_contour.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_contour.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_contour.HovertextValidator()
-        self._validators["hovertextsrc"] = v_contour.HovertextsrcValidator()
-        self._validators["ids"] = v_contour.IdsValidator()
-        self._validators["idssrc"] = v_contour.IdssrcValidator()
-        self._validators["legendgroup"] = v_contour.LegendgroupValidator()
-        self._validators["line"] = v_contour.LineValidator()
-        self._validators["meta"] = v_contour.MetaValidator()
-        self._validators["metasrc"] = v_contour.MetasrcValidator()
-        self._validators["name"] = v_contour.NameValidator()
-        self._validators["ncontours"] = v_contour.NcontoursValidator()
-        self._validators["opacity"] = v_contour.OpacityValidator()
-        self._validators["reversescale"] = v_contour.ReversescaleValidator()
-        self._validators["showlegend"] = v_contour.ShowlegendValidator()
-        self._validators["showscale"] = v_contour.ShowscaleValidator()
-        self._validators["stream"] = v_contour.StreamValidator()
-        self._validators["text"] = v_contour.TextValidator()
-        self._validators["textsrc"] = v_contour.TextsrcValidator()
-        self._validators["transpose"] = v_contour.TransposeValidator()
-        self._validators["uid"] = v_contour.UidValidator()
-        self._validators["uirevision"] = v_contour.UirevisionValidator()
-        self._validators["visible"] = v_contour.VisibleValidator()
-        self._validators["x"] = v_contour.XValidator()
-        self._validators["x0"] = v_contour.X0Validator()
-        self._validators["xaxis"] = v_contour.XAxisValidator()
-        self._validators["xcalendar"] = v_contour.XcalendarValidator()
-        self._validators["xsrc"] = v_contour.XsrcValidator()
-        self._validators["xtype"] = v_contour.XtypeValidator()
-        self._validators["y"] = v_contour.YValidator()
-        self._validators["y0"] = v_contour.Y0Validator()
-        self._validators["yaxis"] = v_contour.YAxisValidator()
-        self._validators["ycalendar"] = v_contour.YcalendarValidator()
-        self._validators["ysrc"] = v_contour.YsrcValidator()
-        self._validators["ytype"] = v_contour.YtypeValidator()
-        self._validators["z"] = v_contour.ZValidator()
-        self._validators["zauto"] = v_contour.ZautoValidator()
-        self._validators["zhoverformat"] = v_contour.ZhoverformatValidator()
-        self._validators["zmax"] = v_contour.ZmaxValidator()
-        self._validators["zmid"] = v_contour.ZmidValidator()
-        self._validators["zmin"] = v_contour.ZminValidator()
-        self._validators["zsrc"] = v_contour.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("autocontour", None)
-        self["autocontour"] = autocontour if autocontour is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("connectgaps", None)
-        self["connectgaps"] = connectgaps if connectgaps is not None else _v
-        _v = arg.pop("contours", None)
-        self["contours"] = contours if contours is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoverongaps", None)
-        self["hoverongaps"] = hoverongaps if hoverongaps is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("ncontours", None)
-        self["ncontours"] = ncontours if ncontours is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("transpose", None)
-        self["transpose"] = transpose if transpose is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("xtype", None)
-        self["xtype"] = xtype if xtype is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("ytype", None)
-        self["ytype"] = ytype if ytype is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zhoverformat", None)
-        self["zhoverformat"] = zhoverformat if zhoverformat is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "contour"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="contour", val="contour"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Cone(_BaseTraceType):
-
-    # anchor
-    # ------
-    @property
-    def anchor(self):
-        """
-        Sets the cones' anchor with respect to their x/y/z positions.
-        Note that "cm" denote the cone's center of mass which
-        corresponds to 1/4 from the tail to tip.
-    
-        The 'anchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['tip', 'tail', 'cm', 'center']
-
-        Returns
-        -------
-        Any
-        """
-        return self["anchor"]
-
-    @anchor.setter
-    def anchor(self, val):
-        self["anchor"] = val
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here u/v/w norm) or the bounds set
-        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
-        `cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as u/v/w norm and if set, `cmin` must be set as
-        well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as u/v/w norm. Has no effect when `cauto` is
-        `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as u/v/w norm and if set, `cmax` must be set as
-        well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.cone.co
-                    lorbar.Tickformatstop` instances or dicts with
-                    compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.cone.colorbar.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of cone.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.cone.colorbar.Titl
-                    e` instance or dict with compatible properties
-                titlefont
-                    Deprecated: Please use cone.colorbar.title.font
-                    instead. Sets this color bar's title font. Note
-                    that the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use cone.colorbar.title.side
-                    instead. Determines the location of color bar's
-                    title with respect to the color bar. Note that
-                    the title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.cone.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.cone.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variable `norm` Anything contained in tag `<extra>` is
-        displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # lighting
-    # --------
-    @property
-    def lighting(self):
-        """
-        The 'lighting' property is an instance of Lighting
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.Lighting`
-          - A dict of string/value properties that will be passed
-            to the Lighting constructor
-    
-            Supported dict properties:
-                
-                ambient
-                    Ambient light increases overall color
-                    visibility but can wash out the image.
-                diffuse
-                    Represents the extent that incident rays are
-                    reflected in a range of angles.
-                facenormalsepsilon
-                    Epsilon for face normals calculation avoids
-                    math issues arising from degenerate geometry.
-                fresnel
-                    Represents the reflectance as a dependency of
-                    the viewing angle; e.g. paper is reflective
-                    when viewing it from the edge of the paper
-                    (almost 90 degrees), causing shine.
-                roughness
-                    Alters specular reflection; the rougher the
-                    surface, the wider and less contrasty the
-                    shine.
-                specular
-                    Represents the level that incident rays are
-                    reflected in a single direction, causing shine.
-                vertexnormalsepsilon
-                    Epsilon for vertex normals calculation avoids
-                    math issues arising from degenerate geometry.
-
-        Returns
-        -------
-        plotly.graph_objs.cone.Lighting
-        """
-        return self["lighting"]
-
-    @lighting.setter
-    def lighting(self, val):
-        self["lighting"] = val
-
-    # lightposition
-    # -------------
-    @property
-    def lightposition(self):
-        """
-        The 'lightposition' property is an instance of Lightposition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.Lightposition`
-          - A dict of string/value properties that will be passed
-            to the Lightposition constructor
-    
-            Supported dict properties:
-                
-                x
-                    Numeric vector, representing the X coordinate
-                    for each vertex.
-                y
-                    Numeric vector, representing the Y coordinate
-                    for each vertex.
-                z
-                    Numeric vector, representing the Z coordinate
-                    for each vertex.
-
-        Returns
-        -------
-        plotly.graph_objs.cone.Lightposition
-        """
-        return self["lightposition"]
-
-    @lightposition.setter
-    def lightposition(self, val):
-        self["lightposition"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the surface. Please note that in the case
-        of using high `opacity` values for example a value greater than
-        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
-        an overlay of multiple transparent surfaces may not perfectly
-        be sorted in depth by the webgl API. This behavior may be
-        improved in the near future and is subject to change.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        Sets a reference between this trace's 3D coordinate system and
-        a 3D scene. If "scene" (the default value), the (x,y,z)
-        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
-        coordinates refer to `layout.scene2`, and so on.
-    
-        The 'scene' property is an identifier of a particular
-        subplot, of type 'scene', that may be specified as the string 'scene'
-        optionally followed by an integer >= 1
-        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Determines whether `sizeref` is set as a "scaled" (i.e
-        unitless) scalar (normalized by the max u/v/w norm in the
-        vector field) or as "absolute" value (in the same units as the
-        vector field).
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['scaled', 'absolute']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Adjusts the cone size scaling. The size of the cones is
-        determined by their u/v/w norm multiplied a factor and
-        `sizeref`. This factor (computed internally) corresponds to the
-        minimum "time" to travel across two successive x/y/z positions
-        at the average velocity of those two successive positions. All
-        cones in a given trace use the same factor. With `sizemode` set
-        to "scaled", `sizeref` is unitless, its default value is 0.5
-        With `sizemode` set to "absolute", `sizeref` has the same units
-        as the u/v/w vector field, its the default value is half the
-        sample's maximum vector norm.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.cone.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with the cones. If trace
-        `hoverinfo` contains a "text" flag and "hovertext" is not set,
-        these elements will be seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # u
-    # -
-    @property
-    def u(self):
-        """
-        Sets the x components of the vector field.
-    
-        The 'u' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["u"]
-
-    @u.setter
-    def u(self, val):
-        self["u"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # usrc
-    # ----
-    @property
-    def usrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  u .
-    
-        The 'usrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["usrc"]
-
-    @usrc.setter
-    def usrc(self, val):
-        self["usrc"] = val
-
-    # v
-    # -
-    @property
-    def v(self):
-        """
-        Sets the y components of the vector field.
-    
-        The 'v' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["v"]
-
-    @v.setter
-    def v(self, val):
-        self["v"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # vsrc
-    # ----
-    @property
-    def vsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  v .
-    
-        The 'vsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["vsrc"]
-
-    @vsrc.setter
-    def vsrc(self, val):
-        self["vsrc"] = val
-
-    # w
-    # -
-    @property
-    def w(self):
-        """
-        Sets the z components of the vector field.
-    
-        The 'w' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["w"]
-
-    @w.setter
-    def w(self, val):
-        self["w"] = val
-
-    # wsrc
-    # ----
-    @property
-    def wsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  w .
-    
-        The 'wsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["wsrc"]
-
-    @wsrc.setter
-    def wsrc(self, val):
-        self["wsrc"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates of the vector field and of the displayed
-        cones.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates of the vector field and of the displayed
-        cones.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z coordinates of the vector field and of the displayed
-        cones.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        anchor
-            Sets the cones' anchor with respect to their x/y/z
-            positions. Note that "cm" denote the cone's center of
-            mass which corresponds to 1/4 from the tail to tip.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here u/v/w norm) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as u/v/w norm. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.cone.ColorBar` instance or
-            dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.cone.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `norm` Anything contained in
-            tag `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.cone.Lighting` instance or
-            dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.cone.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        sizemode
-            Determines whether `sizeref` is set as a "scaled" (i.e
-            unitless) scalar (normalized by the max u/v/w norm in
-            the vector field) or as "absolute" value (in the same
-            units as the vector field).
-        sizeref
-            Adjusts the cone size scaling. The size of the cones is
-            determined by their u/v/w norm multiplied a factor and
-            `sizeref`. This factor (computed internally)
-            corresponds to the minimum "time" to travel across two
-            successive x/y/z positions at the average velocity of
-            those two successive positions. All cones in a given
-            trace use the same factor. With `sizemode` set to
-            "scaled", `sizeref` is unitless, its default value is
-            0.5 With `sizemode` set to "absolute", `sizeref` has
-            the same units as the u/v/w vector field, its the
-            default value is half the sample's maximum vector norm.
-        stream
-            :class:`plotly.graph_objects.cone.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with the cones. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        u
-            Sets the x components of the vector field.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        usrc
-            Sets the source reference on Chart Studio Cloud for  u
-            .
-        v
-            Sets the y components of the vector field.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        vsrc
-            Sets the source reference on Chart Studio Cloud for  v
-            .
-        w
-            Sets the z components of the vector field.
-        wsrc
-            Sets the source reference on Chart Studio Cloud for  w
-            .
-        x
-            Sets the x coordinates of the vector field and of the
-            displayed cones.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates of the vector field and of the
-            displayed cones.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates of the vector field and of the
-            displayed cones.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        anchor=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        lighting=None,
-        lightposition=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        reversescale=None,
-        scene=None,
-        showlegend=None,
-        showscale=None,
-        sizemode=None,
-        sizeref=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        u=None,
-        uid=None,
-        uirevision=None,
-        usrc=None,
-        v=None,
-        visible=None,
-        vsrc=None,
-        w=None,
-        wsrc=None,
-        x=None,
-        xsrc=None,
-        y=None,
-        ysrc=None,
-        z=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Cone object
-        
-        Use cone traces to visualize vector fields.  Specify a vector
-        field using 6 1D arrays, 3 position arrays `x`, `y` and `z` and
-        3 vector component arrays `u`, `v`, `w`. The cones are drawn
-        exactly at the positions given by `x`, `y` and `z`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Cone`
-        anchor
-            Sets the cones' anchor with respect to their x/y/z
-            positions. Note that "cm" denote the cone's center of
-            mass which corresponds to 1/4 from the tail to tip.
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here u/v/w norm) or the
-            bounds set in `cmin` and `cmax`  Defaults to `false`
-            when `cmin` and `cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as u/v/w norm. Has no
-            effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as u/v/w norm and if set, `cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.cone.ColorBar` instance or
-            dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.cone.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `norm` Anything contained in
-            tag `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        lighting
-            :class:`plotly.graph_objects.cone.Lighting` instance or
-            dict with compatible properties
-        lightposition
-            :class:`plotly.graph_objects.cone.Lightposition`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the surface. Please note that in
-            the case of using high `opacity` values for example a
-            value greater than or equal to 0.5 on two surfaces (and
-            0.25 with four surfaces), an overlay of multiple
-            transparent surfaces may not perfectly be sorted in
-            depth by the webgl API. This behavior may be improved
-            in the near future and is subject to change.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        scene
-            Sets a reference between this trace's 3D coordinate
-            system and a 3D scene. If "scene" (the default value),
-            the (x,y,z) coordinates refer to `layout.scene`. If
-            "scene2", the (x,y,z) coordinates refer to
-            `layout.scene2`, and so on.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        sizemode
-            Determines whether `sizeref` is set as a "scaled" (i.e
-            unitless) scalar (normalized by the max u/v/w norm in
-            the vector field) or as "absolute" value (in the same
-            units as the vector field).
-        sizeref
-            Adjusts the cone size scaling. The size of the cones is
-            determined by their u/v/w norm multiplied a factor and
-            `sizeref`. This factor (computed internally)
-            corresponds to the minimum "time" to travel across two
-            successive x/y/z positions at the average velocity of
-            those two successive positions. All cones in a given
-            trace use the same factor. With `sizemode` set to
-            "scaled", `sizeref` is unitless, its default value is
-            0.5 With `sizemode` set to "absolute", `sizeref` has
-            the same units as the u/v/w vector field, its the
-            default value is half the sample's maximum vector norm.
-        stream
-            :class:`plotly.graph_objects.cone.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with the cones. If
-            trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        u
-            Sets the x components of the vector field.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        usrc
-            Sets the source reference on Chart Studio Cloud for  u
-            .
-        v
-            Sets the y components of the vector field.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        vsrc
-            Sets the source reference on Chart Studio Cloud for  v
-            .
-        w
-            Sets the z components of the vector field.
-        wsrc
-            Sets the source reference on Chart Studio Cloud for  w
-            .
-        x
-            Sets the x coordinates of the vector field and of the
-            displayed cones.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates of the vector field and of the
-            displayed cones.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z coordinates of the vector field and of the
-            displayed cones.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Cone
-        """
-        super(Cone, self).__init__("cone")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Cone 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Cone`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import cone as v_cone
-
-        # Initialize validators
-        # ---------------------
-        self._validators["anchor"] = v_cone.AnchorValidator()
-        self._validators["autocolorscale"] = v_cone.AutocolorscaleValidator()
-        self._validators["cauto"] = v_cone.CautoValidator()
-        self._validators["cmax"] = v_cone.CmaxValidator()
-        self._validators["cmid"] = v_cone.CmidValidator()
-        self._validators["cmin"] = v_cone.CminValidator()
-        self._validators["coloraxis"] = v_cone.ColoraxisValidator()
-        self._validators["colorbar"] = v_cone.ColorBarValidator()
-        self._validators["colorscale"] = v_cone.ColorscaleValidator()
-        self._validators["customdata"] = v_cone.CustomdataValidator()
-        self._validators["customdatasrc"] = v_cone.CustomdatasrcValidator()
-        self._validators["hoverinfo"] = v_cone.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_cone.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_cone.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_cone.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_cone.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_cone.HovertextValidator()
-        self._validators["hovertextsrc"] = v_cone.HovertextsrcValidator()
-        self._validators["ids"] = v_cone.IdsValidator()
-        self._validators["idssrc"] = v_cone.IdssrcValidator()
-        self._validators["legendgroup"] = v_cone.LegendgroupValidator()
-        self._validators["lighting"] = v_cone.LightingValidator()
-        self._validators["lightposition"] = v_cone.LightpositionValidator()
-        self._validators["meta"] = v_cone.MetaValidator()
-        self._validators["metasrc"] = v_cone.MetasrcValidator()
-        self._validators["name"] = v_cone.NameValidator()
-        self._validators["opacity"] = v_cone.OpacityValidator()
-        self._validators["reversescale"] = v_cone.ReversescaleValidator()
-        self._validators["scene"] = v_cone.SceneValidator()
-        self._validators["showlegend"] = v_cone.ShowlegendValidator()
-        self._validators["showscale"] = v_cone.ShowscaleValidator()
-        self._validators["sizemode"] = v_cone.SizemodeValidator()
-        self._validators["sizeref"] = v_cone.SizerefValidator()
-        self._validators["stream"] = v_cone.StreamValidator()
-        self._validators["text"] = v_cone.TextValidator()
-        self._validators["textsrc"] = v_cone.TextsrcValidator()
-        self._validators["u"] = v_cone.UValidator()
-        self._validators["uid"] = v_cone.UidValidator()
-        self._validators["uirevision"] = v_cone.UirevisionValidator()
-        self._validators["usrc"] = v_cone.UsrcValidator()
-        self._validators["v"] = v_cone.VValidator()
-        self._validators["visible"] = v_cone.VisibleValidator()
-        self._validators["vsrc"] = v_cone.VsrcValidator()
-        self._validators["w"] = v_cone.WValidator()
-        self._validators["wsrc"] = v_cone.WsrcValidator()
-        self._validators["x"] = v_cone.XValidator()
-        self._validators["xsrc"] = v_cone.XsrcValidator()
-        self._validators["y"] = v_cone.YValidator()
-        self._validators["ysrc"] = v_cone.YsrcValidator()
-        self._validators["z"] = v_cone.ZValidator()
-        self._validators["zsrc"] = v_cone.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("anchor", None)
-        self["anchor"] = anchor if anchor is not None else _v
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("lighting", None)
-        self["lighting"] = lighting if lighting is not None else _v
-        _v = arg.pop("lightposition", None)
-        self["lightposition"] = lightposition if lightposition is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("u", None)
-        self["u"] = u if u is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("usrc", None)
-        self["usrc"] = usrc if usrc is not None else _v
-        _v = arg.pop("v", None)
-        self["v"] = v if v is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("vsrc", None)
-        self["vsrc"] = vsrc if vsrc is not None else _v
-        _v = arg.pop("w", None)
-        self["w"] = w if w is not None else _v
-        _v = arg.pop("wsrc", None)
-        self["wsrc"] = wsrc if wsrc is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "cone"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="cone", val="cone"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Choroplethmapbox(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # below
-    # -----
-    @property
-    def below(self):
-        """
-        Determines if the choropleth polygons will be inserted before
-        the layer with the specified ID. By default, choroplethmapbox
-        traces are placed above the water layers. If set to '', the
-        layer will be inserted above every existing layer.
-    
-        The 'below' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["below"]
-
-    @below.setter
-    def below(self, val):
-        self["below"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.choropl
-                    ethmapbox.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.choroplethmapbox.colorbar.tickformatstopdefau
-                    lts), sets the default property values to use
-                    for elements of
-                    choroplethmapbox.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.choroplethmapbox.c
-                    olorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    choroplethmapbox.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    choroplethmapbox.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # featureidkey
-    # ------------
-    @property
-    def featureidkey(self):
-        """
-        Sets the key in GeoJSON features which is used as id to match
-        the items included in the `locations` array. Support nested
-        property, for example "properties.name".
-    
-        The 'featureidkey' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["featureidkey"]
-
-    @featureidkey.setter
-    def featureidkey(self, val):
-        self["featureidkey"] = val
-
-    # geojson
-    # -------
-    @property
-    def geojson(self):
-        """
-        Sets the GeoJSON data associated with this trace. It can be set
-        as a valid GeoJSON object or as a URL string. Note that we only
-        accept GeoJSONs of type "FeatureCollection" or "Feature" with
-        geometries of type "Polygon" or "MultiPolygon".
-    
-        The 'geojson' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["geojson"]
-
-    @geojson.setter
-    def geojson(self, val):
-        self["geojson"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['location', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'location+z')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variable `properties` Anything contained in tag `<extra>` is
-        displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Sets which features found in "geojson" to plot using their
-        feature `id` field.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                line
-                    :class:`plotly.graph_objects.choroplethmapbox.m
-                    arker.Line` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the opacity of the locations.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.choroplethmapbox.s
-                    elected.Marker` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        mapbox subplot. If "mapbox" (the default value), the data refer
-        to `layout.mapbox`. If "mapbox2", the data refer to
-        `layout.mapbox2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'mapbox', that may be specified as the string 'mapbox'
-        optionally followed by an integer >= 1
-        (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each location.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.choroplethmapbox.u
-                    nselected.Marker` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the color values.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        below
-            Determines if the choropleth polygons will be inserted
-            before the layer with the specified ID. By default,
-            choroplethmapbox traces are placed above the water
-            layers. If set to '', the layer will be inserted above
-            every existing layer.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.choroplethmapbox.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        featureidkey
-            Sets the key in GeoJSON features which is used as id to
-            match the items included in the `locations` array.
-            Support nested property, for example "properties.name".
-        geojson
-            Sets the GeoJSON data associated with this trace. It
-            can be set as a valid GeoJSON object or as a URL
-            string. Note that we only accept GeoJSONs of type
-            "FeatureCollection" or "Feature" with geometries of
-            type "Polygon" or "MultiPolygon".
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.choroplethmapbox.Hoverlabe
-            l` instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `properties` Anything contained
-            in tag `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        locations
-            Sets which features found in "geojson" to plot using
-            their feature `id` field.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        marker
-            :class:`plotly.graph_objects.choroplethmapbox.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        selected
-            :class:`plotly.graph_objects.choroplethmapbox.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.choroplethmapbox.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a mapbox subplot. If "mapbox" (the default value),
-            the data refer to `layout.mapbox`. If "mapbox2", the
-            data refer to `layout.mapbox2`, and so on.
-        text
-            Sets the text elements associated with each location.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.choroplethmapbox.Unselecte
-            d` instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        z
-            Sets the color values.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        below=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        featureidkey=None,
-        geojson=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        locations=None,
-        locationssrc=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        reversescale=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        subplot=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        z=None,
-        zauto=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Choroplethmapbox object
-        
-        GeoJSON features to be filled are set in `geojson` The data
-        that describes the choropleth value-to-color mapping is set in
-        `locations` and `z`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.Choroplethmapbox`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        below
-            Determines if the choropleth polygons will be inserted
-            before the layer with the specified ID. By default,
-            choroplethmapbox traces are placed above the water
-            layers. If set to '', the layer will be inserted above
-            every existing layer.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.choroplethmapbox.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        featureidkey
-            Sets the key in GeoJSON features which is used as id to
-            match the items included in the `locations` array.
-            Support nested property, for example "properties.name".
-        geojson
-            Sets the GeoJSON data associated with this trace. It
-            can be set as a valid GeoJSON object or as a URL
-            string. Note that we only accept GeoJSONs of type
-            "FeatureCollection" or "Feature" with geometries of
-            type "Polygon" or "MultiPolygon".
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.choroplethmapbox.Hoverlabe
-            l` instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variable `properties` Anything contained
-            in tag `<extra>` is displayed in the secondary box, for
-            example "<extra>{fullData.name}</extra>". To hide the
-            secondary box completely, use an empty tag
-            `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        locations
-            Sets which features found in "geojson" to plot using
-            their feature `id` field.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        marker
-            :class:`plotly.graph_objects.choroplethmapbox.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        selected
-            :class:`plotly.graph_objects.choroplethmapbox.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.choroplethmapbox.Stream`
-            instance or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a mapbox subplot. If "mapbox" (the default value),
-            the data refer to `layout.mapbox`. If "mapbox2", the
-            data refer to `layout.mapbox2`, and so on.
-        text
-            Sets the text elements associated with each location.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.choroplethmapbox.Unselecte
-            d` instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        z
-            Sets the color values.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Choroplethmapbox
-        """
-        super(Choroplethmapbox, self).__init__("choroplethmapbox")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Choroplethmapbox 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Choroplethmapbox`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import choroplethmapbox as v_choroplethmapbox
-
-        # Initialize validators
-        # ---------------------
-        self._validators[
-            "autocolorscale"
-        ] = v_choroplethmapbox.AutocolorscaleValidator()
-        self._validators["below"] = v_choroplethmapbox.BelowValidator()
-        self._validators["coloraxis"] = v_choroplethmapbox.ColoraxisValidator()
-        self._validators["colorbar"] = v_choroplethmapbox.ColorBarValidator()
-        self._validators["colorscale"] = v_choroplethmapbox.ColorscaleValidator()
-        self._validators["customdata"] = v_choroplethmapbox.CustomdataValidator()
-        self._validators["customdatasrc"] = v_choroplethmapbox.CustomdatasrcValidator()
-        self._validators["featureidkey"] = v_choroplethmapbox.FeatureidkeyValidator()
-        self._validators["geojson"] = v_choroplethmapbox.GeojsonValidator()
-        self._validators["hoverinfo"] = v_choroplethmapbox.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_choroplethmapbox.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_choroplethmapbox.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_choroplethmapbox.HovertemplateValidator()
-        self._validators[
-            "hovertemplatesrc"
-        ] = v_choroplethmapbox.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_choroplethmapbox.HovertextValidator()
-        self._validators["hovertextsrc"] = v_choroplethmapbox.HovertextsrcValidator()
-        self._validators["ids"] = v_choroplethmapbox.IdsValidator()
-        self._validators["idssrc"] = v_choroplethmapbox.IdssrcValidator()
-        self._validators["legendgroup"] = v_choroplethmapbox.LegendgroupValidator()
-        self._validators["locations"] = v_choroplethmapbox.LocationsValidator()
-        self._validators["locationssrc"] = v_choroplethmapbox.LocationssrcValidator()
-        self._validators["marker"] = v_choroplethmapbox.MarkerValidator()
-        self._validators["meta"] = v_choroplethmapbox.MetaValidator()
-        self._validators["metasrc"] = v_choroplethmapbox.MetasrcValidator()
-        self._validators["name"] = v_choroplethmapbox.NameValidator()
-        self._validators["reversescale"] = v_choroplethmapbox.ReversescaleValidator()
-        self._validators["selected"] = v_choroplethmapbox.SelectedValidator()
-        self._validators[
-            "selectedpoints"
-        ] = v_choroplethmapbox.SelectedpointsValidator()
-        self._validators["showlegend"] = v_choroplethmapbox.ShowlegendValidator()
-        self._validators["showscale"] = v_choroplethmapbox.ShowscaleValidator()
-        self._validators["stream"] = v_choroplethmapbox.StreamValidator()
-        self._validators["subplot"] = v_choroplethmapbox.SubplotValidator()
-        self._validators["text"] = v_choroplethmapbox.TextValidator()
-        self._validators["textsrc"] = v_choroplethmapbox.TextsrcValidator()
-        self._validators["uid"] = v_choroplethmapbox.UidValidator()
-        self._validators["uirevision"] = v_choroplethmapbox.UirevisionValidator()
-        self._validators["unselected"] = v_choroplethmapbox.UnselectedValidator()
-        self._validators["visible"] = v_choroplethmapbox.VisibleValidator()
-        self._validators["z"] = v_choroplethmapbox.ZValidator()
-        self._validators["zauto"] = v_choroplethmapbox.ZautoValidator()
-        self._validators["zmax"] = v_choroplethmapbox.ZmaxValidator()
-        self._validators["zmid"] = v_choroplethmapbox.ZmidValidator()
-        self._validators["zmin"] = v_choroplethmapbox.ZminValidator()
-        self._validators["zsrc"] = v_choroplethmapbox.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("below", None)
-        self["below"] = below if below is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("featureidkey", None)
-        self["featureidkey"] = featureidkey if featureidkey is not None else _v
-        _v = arg.pop("geojson", None)
-        self["geojson"] = geojson if geojson is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "choroplethmapbox"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="choroplethmapbox", val="choroplethmapbox"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Choropleth(_BaseTraceType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.choropl
-                    eth.colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.choropleth.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of choropleth.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.choropleth.colorba
-                    r.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    choropleth.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    choropleth.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`zmin` and `zmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # featureidkey
-    # ------------
-    @property
-    def featureidkey(self):
-        """
-        Sets the key in GeoJSON features which is used as id to match
-        the items included in the `locations` array. Only has an effect
-        when `geojson` is set. Support nested property, for example
-        "properties.name".
-    
-        The 'featureidkey' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["featureidkey"]
-
-    @featureidkey.setter
-    def featureidkey(self, val):
-        self["featureidkey"] = val
-
-    # geo
-    # ---
-    @property
-    def geo(self):
-        """
-        Sets a reference between this trace's geospatial coordinates
-        and a geographic map. If "geo" (the default value), the
-        geospatial coordinates refer to `layout.geo`. If "geo2", the
-        geospatial coordinates refer to `layout.geo2`, and so on.
-    
-        The 'geo' property is an identifier of a particular
-        subplot, of type 'geo', that may be specified as the string 'geo'
-        optionally followed by an integer >= 1
-        (e.g. 'geo', 'geo1', 'geo2', 'geo3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["geo"]
-
-    @geo.setter
-    def geo(self, val):
-        self["geo"] = val
-
-    # geojson
-    # -------
-    @property
-    def geojson(self):
-        """
-        Sets optional GeoJSON data associated with this trace. If not
-        given, the features on the base map are used. It can be set as
-        a valid GeoJSON object or as a URL string. Note that we only
-        accept GeoJSONs of type "FeatureCollection" or "Feature" with
-        geometries of type "Polygon" or "MultiPolygon".
-    
-        The 'geojson' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["geojson"]
-
-    @geojson.setter
-    def geojson(self, val):
-        self["geojson"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['location', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'location+z')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # locationmode
-    # ------------
-    @property
-    def locationmode(self):
-        """
-        Determines the set of locations used to match entries in
-        `locations` to regions on the map. Values "ISO-3", "USA-
-        states", *country names* correspond to features on the base map
-        and value "geojson-id" corresponds to features from a custom
-        GeoJSON linked to the `geojson` attribute.
-    
-        The 'locationmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['ISO-3', 'USA-states', 'country names', 'geojson-id']
-
-        Returns
-        -------
-        Any
-        """
-        return self["locationmode"]
-
-    @locationmode.setter
-    def locationmode(self, val):
-        self["locationmode"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Sets the coordinates via location IDs or names. See
-        `locationmode` for more info.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                line
-                    :class:`plotly.graph_objects.choropleth.marker.
-                    Line` instance or dict with compatible
-                    properties
-                opacity
-                    Sets the opacity of the locations.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `zmin` will
-        correspond to the last color in the array and `zmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.choropleth.selecte
-                    d.Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each location.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.choropleth.unselec
-                    ted.Marker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the color values.
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zauto
-    # -----
-    @property
-    def zauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `z`) or the bounds set in
-        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
-        are set by the user.
-    
-        The 'zauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zauto"]
-
-    @zauto.setter
-    def zauto(self, val):
-        self["zauto"] = val
-
-    # zmax
-    # ----
-    @property
-    def zmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmin` must be set as well.
-    
-        The 'zmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmax"]
-
-    @zmax.setter
-    def zmax(self, val):
-        self["zmax"] = val
-
-    # zmid
-    # ----
-    @property
-    def zmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `zmin` and/or
-        `zmax` to be equidistant to this point. Value should have the
-        same units as in `z`. Has no effect when `zauto` is `false`.
-    
-        The 'zmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmid"]
-
-    @zmid.setter
-    def zmid(self, val):
-        self["zmid"] = val
-
-    # zmin
-    # ----
-    @property
-    def zmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as in `z` and if set, `zmax` must be set as well.
-    
-        The 'zmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zmin"]
-
-    @zmin.setter
-    def zmin(self, val):
-        self["zmin"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.choropleth.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        featureidkey
-            Sets the key in GeoJSON features which is used as id to
-            match the items included in the `locations` array. Only
-            has an effect when `geojson` is set. Support nested
-            property, for example "properties.name".
-        geo
-            Sets a reference between this trace's geospatial
-            coordinates and a geographic map. If "geo" (the default
-            value), the geospatial coordinates refer to
-            `layout.geo`. If "geo2", the geospatial coordinates
-            refer to `layout.geo2`, and so on.
-        geojson
-            Sets optional GeoJSON data associated with this trace.
-            If not given, the features on the base map are used. It
-            can be set as a valid GeoJSON object or as a URL
-            string. Note that we only accept GeoJSONs of type
-            "FeatureCollection" or "Feature" with geometries of
-            type "Polygon" or "MultiPolygon".
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.choropleth.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        locationmode
-            Determines the set of locations used to match entries
-            in `locations` to regions on the map. Values "ISO-3",
-            "USA-states", *country names* correspond to features on
-            the base map and value "geojson-id" corresponds to
-            features from a custom GeoJSON linked to the `geojson`
-            attribute.
-        locations
-            Sets the coordinates via location IDs or names. See
-            `locationmode` for more info.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        marker
-            :class:`plotly.graph_objects.choropleth.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        selected
-            :class:`plotly.graph_objects.choropleth.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.choropleth.Stream`
-            instance or dict with compatible properties
-        text
-            Sets the text elements associated with each location.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.choropleth.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        z
-            Sets the color values.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        customdata=None,
-        customdatasrc=None,
-        featureidkey=None,
-        geo=None,
-        geojson=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        locationmode=None,
-        locations=None,
-        locationssrc=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        reversescale=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        showscale=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        z=None,
-        zauto=None,
-        zmax=None,
-        zmid=None,
-        zmin=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Choropleth object
-        
-        The data that describes the choropleth value-to-color mapping
-        is set in `z`. The geographic locations corresponding to each
-        value in `z` are set in `locations`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Choropleth`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.choropleth.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`zmin` and `zmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        featureidkey
-            Sets the key in GeoJSON features which is used as id to
-            match the items included in the `locations` array. Only
-            has an effect when `geojson` is set. Support nested
-            property, for example "properties.name".
-        geo
-            Sets a reference between this trace's geospatial
-            coordinates and a geographic map. If "geo" (the default
-            value), the geospatial coordinates refer to
-            `layout.geo`. If "geo2", the geospatial coordinates
-            refer to `layout.geo2`, and so on.
-        geojson
-            Sets optional GeoJSON data associated with this trace.
-            If not given, the features on the base map are used. It
-            can be set as a valid GeoJSON object or as a URL
-            string. Note that we only accept GeoJSONs of type
-            "FeatureCollection" or "Feature" with geometries of
-            type "Polygon" or "MultiPolygon".
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.choropleth.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        locationmode
-            Determines the set of locations used to match entries
-            in `locations` to regions on the map. Values "ISO-3",
-            "USA-states", *country names* correspond to features on
-            the base map and value "geojson-id" corresponds to
-            features from a custom GeoJSON linked to the `geojson`
-            attribute.
-        locations
-            Sets the coordinates via location IDs or names. See
-            `locationmode` for more info.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        marker
-            :class:`plotly.graph_objects.choropleth.Marker`
-            instance or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        reversescale
-            Reverses the color mapping if true. If true, `zmin`
-            will correspond to the last color in the array and
-            `zmax` will correspond to the first color.
-        selected
-            :class:`plotly.graph_objects.choropleth.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        stream
-            :class:`plotly.graph_objects.choropleth.Stream`
-            instance or dict with compatible properties
-        text
-            Sets the text elements associated with each location.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.choropleth.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        z
-            Sets the color values.
-        zauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `z`) or the
-            bounds set in `zmin` and `zmax`  Defaults to `false`
-            when `zmin` and `zmax` are set by the user.
-        zmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmin` must
-            be set as well.
-        zmid
-            Sets the mid-point of the color domain by scaling
-            `zmin` and/or `zmax` to be equidistant to this point.
-            Value should have the same units as in `z`. Has no
-            effect when `zauto` is `false`.
-        zmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as in `z` and if set, `zmax` must
-            be set as well.
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Choropleth
-        """
-        super(Choropleth, self).__init__("choropleth")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Choropleth 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Choropleth`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import choropleth as v_choropleth
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_choropleth.AutocolorscaleValidator()
-        self._validators["coloraxis"] = v_choropleth.ColoraxisValidator()
-        self._validators["colorbar"] = v_choropleth.ColorBarValidator()
-        self._validators["colorscale"] = v_choropleth.ColorscaleValidator()
-        self._validators["customdata"] = v_choropleth.CustomdataValidator()
-        self._validators["customdatasrc"] = v_choropleth.CustomdatasrcValidator()
-        self._validators["featureidkey"] = v_choropleth.FeatureidkeyValidator()
-        self._validators["geo"] = v_choropleth.GeoValidator()
-        self._validators["geojson"] = v_choropleth.GeojsonValidator()
-        self._validators["hoverinfo"] = v_choropleth.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_choropleth.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_choropleth.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_choropleth.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_choropleth.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_choropleth.HovertextValidator()
-        self._validators["hovertextsrc"] = v_choropleth.HovertextsrcValidator()
-        self._validators["ids"] = v_choropleth.IdsValidator()
-        self._validators["idssrc"] = v_choropleth.IdssrcValidator()
-        self._validators["legendgroup"] = v_choropleth.LegendgroupValidator()
-        self._validators["locationmode"] = v_choropleth.LocationmodeValidator()
-        self._validators["locations"] = v_choropleth.LocationsValidator()
-        self._validators["locationssrc"] = v_choropleth.LocationssrcValidator()
-        self._validators["marker"] = v_choropleth.MarkerValidator()
-        self._validators["meta"] = v_choropleth.MetaValidator()
-        self._validators["metasrc"] = v_choropleth.MetasrcValidator()
-        self._validators["name"] = v_choropleth.NameValidator()
-        self._validators["reversescale"] = v_choropleth.ReversescaleValidator()
-        self._validators["selected"] = v_choropleth.SelectedValidator()
-        self._validators["selectedpoints"] = v_choropleth.SelectedpointsValidator()
-        self._validators["showlegend"] = v_choropleth.ShowlegendValidator()
-        self._validators["showscale"] = v_choropleth.ShowscaleValidator()
-        self._validators["stream"] = v_choropleth.StreamValidator()
-        self._validators["text"] = v_choropleth.TextValidator()
-        self._validators["textsrc"] = v_choropleth.TextsrcValidator()
-        self._validators["uid"] = v_choropleth.UidValidator()
-        self._validators["uirevision"] = v_choropleth.UirevisionValidator()
-        self._validators["unselected"] = v_choropleth.UnselectedValidator()
-        self._validators["visible"] = v_choropleth.VisibleValidator()
-        self._validators["z"] = v_choropleth.ZValidator()
-        self._validators["zauto"] = v_choropleth.ZautoValidator()
-        self._validators["zmax"] = v_choropleth.ZmaxValidator()
-        self._validators["zmid"] = v_choropleth.ZmidValidator()
-        self._validators["zmin"] = v_choropleth.ZminValidator()
-        self._validators["zsrc"] = v_choropleth.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("featureidkey", None)
-        self["featureidkey"] = featureidkey if featureidkey is not None else _v
-        _v = arg.pop("geo", None)
-        self["geo"] = geo if geo is not None else _v
-        _v = arg.pop("geojson", None)
-        self["geojson"] = geojson if geojson is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("locationmode", None)
-        self["locationmode"] = locationmode if locationmode is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zauto", None)
-        self["zauto"] = zauto if zauto is not None else _v
-        _v = arg.pop("zmax", None)
-        self["zmax"] = zmax if zmax is not None else _v
-        _v = arg.pop("zmid", None)
-        self["zmid"] = zmid if zmid is not None else _v
-        _v = arg.pop("zmin", None)
-        self["zmin"] = zmin if zmin is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "choropleth"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="choropleth", val="choropleth"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Carpet(_BaseTraceType):
-
-    # a
-    # -
-    @property
-    def a(self):
-        """
-        An array containing values of the first parameter value
-    
-        The 'a' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["a"]
-
-    @a.setter
-    def a(self, val):
-        self["a"] = val
-
-    # a0
-    # --
-    @property
-    def a0(self):
-        """
-        Alternate to `a`. Builds a linear space of a coordinates. Use
-        with `da` where `a0` is the starting coordinate and `da` the
-        step.
-    
-        The 'a0' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["a0"]
-
-    @a0.setter
-    def a0(self, val):
-        self["a0"] = val
-
-    # aaxis
-    # -----
-    @property
-    def aaxis(self):
-        """
-        The 'aaxis' property is an instance of Aaxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.Aaxis`
-          - A dict of string/value properties that will be passed
-            to the Aaxis constructor
-    
-            Supported dict properties:
-                
-                arraydtick
-                    The stride between grid lines along the axis
-                arraytick0
-                    The starting index of grid lines along the axis
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`.
-                cheatertype
-    
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    The stride between grid lines along the axis
-                endline
-                    Determines whether or not a line is drawn at
-                    along the final value of this axis. If True,
-                    the end line is drawn on top of the grid lines.
-                endlinecolor
-                    Sets the line color of the end line.
-                endlinewidth
-                    Sets the width (in px) of the end line.
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                fixedrange
-                    Determines whether or not this axis is zoom-
-                    able. If true, then zoom is disabled.
-                gridcolor
-                    Sets the axis line color.
-                gridwidth
-                    Sets the width (in px) of the axis line.
-                labelpadding
-                    Extra padding between label and the axis
-                labelprefix
-                    Sets a axis label prefix.
-                labelsuffix
-                    Sets a axis label suffix.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                minorgridcolor
-                    Sets the color of the grid lines.
-                minorgridcount
-                    Sets the number of minor grid ticks per major
-                    grid tick
-                minorgridwidth
-                    Sets the width (in px) of the grid lines.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether axis labels are drawn on the
-                    low side, the high side, both, or neither side
-                    of the axis.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                smoothing
-    
-                startline
-                    Determines whether or not a line is drawn at
-                    along the starting value of this axis. If True,
-                    the start line is drawn on top of the grid
-                    lines.
-                startlinecolor
-                    Sets the line color of the start line.
-                startlinewidth
-                    Sets the width (in px) of the start line.
-                tick0
-                    The starting index of grid lines along the axis
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:  We add one item to d3's
-                    date formatter: "%{n}f" for fractional seconds
-                    with n digits. For example, *2016-10-13
-                    09:15:23.456* with tickformat "%H~%M~%S.%2f"
-                    would display "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.carpet.
-                    aaxis.Tickformatstop` instances or dicts with
-                    compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.carpet.aaxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of carpet.aaxis.tickformatstops
-                tickmode
-    
-                tickprefix
-                    Sets a tick label prefix.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                title
-                    :class:`plotly.graph_objects.carpet.aaxis.Title
-                    ` instance or dict with compatible properties
-                titlefont
-                    Deprecated: Please use carpet.aaxis.title.font
-                    instead. Sets this axis' title font. Note that
-                    the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleoffset
-                    Deprecated: Please use
-                    carpet.aaxis.title.offset instead. An
-                    additional amount by which to offset the title
-                    from the tick labels, given in pixels. Note
-                    that this used to be set by the now deprecated
-                    `titleoffset` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.Aaxis
-        """
-        return self["aaxis"]
-
-    @aaxis.setter
-    def aaxis(self, val):
-        self["aaxis"] = val
-
-    # asrc
-    # ----
-    @property
-    def asrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  a .
-    
-        The 'asrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["asrc"]
-
-    @asrc.setter
-    def asrc(self, val):
-        self["asrc"] = val
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        A two dimensional array of y coordinates at each carpet point.
-    
-        The 'b' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # b0
-    # --
-    @property
-    def b0(self):
-        """
-        Alternate to `b`. Builds a linear space of a coordinates. Use
-        with `db` where `b0` is the starting coordinate and `db` the
-        step.
-    
-        The 'b0' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["b0"]
-
-    @b0.setter
-    def b0(self, val):
-        self["b0"] = val
-
-    # baxis
-    # -----
-    @property
-    def baxis(self):
-        """
-        The 'baxis' property is an instance of Baxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.Baxis`
-          - A dict of string/value properties that will be passed
-            to the Baxis constructor
-    
-            Supported dict properties:
-                
-                arraydtick
-                    The stride between grid lines along the axis
-                arraytick0
-                    The starting index of grid lines along the axis
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`.
-                cheatertype
-    
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    The stride between grid lines along the axis
-                endline
-                    Determines whether or not a line is drawn at
-                    along the final value of this axis. If True,
-                    the end line is drawn on top of the grid lines.
-                endlinecolor
-                    Sets the line color of the end line.
-                endlinewidth
-                    Sets the width (in px) of the end line.
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                fixedrange
-                    Determines whether or not this axis is zoom-
-                    able. If true, then zoom is disabled.
-                gridcolor
-                    Sets the axis line color.
-                gridwidth
-                    Sets the width (in px) of the axis line.
-                labelpadding
-                    Extra padding between label and the axis
-                labelprefix
-                    Sets a axis label prefix.
-                labelsuffix
-                    Sets a axis label suffix.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                minorgridcolor
-                    Sets the color of the grid lines.
-                minorgridcount
-                    Sets the number of minor grid ticks per major
-                    grid tick
-                minorgridwidth
-                    Sets the width (in px) of the grid lines.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether axis labels are drawn on the
-                    low side, the high side, both, or neither side
-                    of the axis.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                smoothing
-    
-                startline
-                    Determines whether or not a line is drawn at
-                    along the starting value of this axis. If True,
-                    the start line is drawn on top of the grid
-                    lines.
-                startlinecolor
-                    Sets the line color of the start line.
-                startlinewidth
-                    Sets the width (in px) of the start line.
-                tick0
-                    The starting index of grid lines along the axis
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:  We add one item to d3's
-                    date formatter: "%{n}f" for fractional seconds
-                    with n digits. For example, *2016-10-13
-                    09:15:23.456* with tickformat "%H~%M~%S.%2f"
-                    would display "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.carpet.
-                    baxis.Tickformatstop` instances or dicts with
-                    compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.carpet.baxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of carpet.baxis.tickformatstops
-                tickmode
-    
-                tickprefix
-                    Sets a tick label prefix.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                title
-                    :class:`plotly.graph_objects.carpet.baxis.Title
-                    ` instance or dict with compatible properties
-                titlefont
-                    Deprecated: Please use carpet.baxis.title.font
-                    instead. Sets this axis' title font. Note that
-                    the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleoffset
-                    Deprecated: Please use
-                    carpet.baxis.title.offset instead. An
-                    additional amount by which to offset the title
-                    from the tick labels, given in pixels. Note
-                    that this used to be set by the now deprecated
-                    `titleoffset` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.Baxis
-        """
-        return self["baxis"]
-
-    @baxis.setter
-    def baxis(self, val):
-        self["baxis"] = val
-
-    # bsrc
-    # ----
-    @property
-    def bsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  b .
-    
-        The 'bsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bsrc"]
-
-    @bsrc.setter
-    def bsrc(self, val):
-        self["bsrc"] = val
-
-    # carpet
-    # ------
-    @property
-    def carpet(self):
-        """
-        An identifier for this carpet, so that `scattercarpet` and
-        `contourcarpet` traces can specify a carpet plot on which they
-        lie
-    
-        The 'carpet' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["carpet"]
-
-    @carpet.setter
-    def carpet(self, val):
-        self["carpet"] = val
-
-    # cheaterslope
-    # ------------
-    @property
-    def cheaterslope(self):
-        """
-        The shift applied to each successive row of data in creating a
-        cheater plot. Only used if `x` is been ommitted.
-    
-        The 'cheaterslope' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cheaterslope"]
-
-    @cheaterslope.setter
-    def cheaterslope(self, val):
-        self["cheaterslope"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # da
-    # --
-    @property
-    def da(self):
-        """
-        Sets the a coordinate step. See `a0` for more info.
-    
-        The 'da' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["da"]
-
-    @da.setter
-    def da(self, val):
-        self["da"] = val
-
-    # db
-    # --
-    @property
-    def db(self):
-        """
-        Sets the b coordinate step. See `b0` for more info.
-    
-        The 'db' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["db"]
-
-    @db.setter
-    def db(self, val):
-        self["db"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        The default font used for axis & tick labels on this carpet
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        A two dimensional array of x coordinates at each carpet point.
-        If ommitted, the plot is a cheater plot and the xaxis is hidden
-        by default.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        A two dimensional array of y coordinates at each carpet point.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        a
-            An array containing values of the first parameter value
-        a0
-            Alternate to `a`. Builds a linear space of a
-            coordinates. Use with `da` where `a0` is the starting
-            coordinate and `da` the step.
-        aaxis
-            :class:`plotly.graph_objects.carpet.Aaxis` instance or
-            dict with compatible properties
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        b
-            A two dimensional array of y coordinates at each carpet
-            point.
-        b0
-            Alternate to `b`. Builds a linear space of a
-            coordinates. Use with `db` where `b0` is the starting
-            coordinate and `db` the step.
-        baxis
-            :class:`plotly.graph_objects.carpet.Baxis` instance or
-            dict with compatible properties
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        carpet
-            An identifier for this carpet, so that `scattercarpet`
-            and `contourcarpet` traces can specify a carpet plot on
-            which they lie
-        cheaterslope
-            The shift applied to each successive row of data in
-            creating a cheater plot. Only used if `x` is been
-            ommitted.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        da
-            Sets the a coordinate step. See `a0` for more info.
-        db
-            Sets the b coordinate step. See `b0` for more info.
-        font
-            The default font used for axis & tick labels on this
-            carpet
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        stream
-            :class:`plotly.graph_objects.carpet.Stream` instance or
-            dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            A two dimensional array of x coordinates at each carpet
-            point. If ommitted, the plot is a cheater plot and the
-            xaxis is hidden by default.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            A two dimensional array of y coordinates at each carpet
-            point.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        a=None,
-        a0=None,
-        aaxis=None,
-        asrc=None,
-        b=None,
-        b0=None,
-        baxis=None,
-        bsrc=None,
-        carpet=None,
-        cheaterslope=None,
-        color=None,
-        customdata=None,
-        customdatasrc=None,
-        da=None,
-        db=None,
-        font=None,
-        ids=None,
-        idssrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        stream=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        x=None,
-        xaxis=None,
-        xsrc=None,
-        y=None,
-        yaxis=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Carpet object
-        
-        The data describing carpet axis layout is set in `y` and
-        (optionally) also `x`. If only `y` is present, `x` the plot is
-        interpreted as a cheater plot and is filled in using the `y`
-        values. `x` and `y` may either be 2D arrays matching with each
-        dimension matching that of `a` and `b`, or they may be 1D
-        arrays with total length equal to that of `a` and `b`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Carpet`
-        a
-            An array containing values of the first parameter value
-        a0
-            Alternate to `a`. Builds a linear space of a
-            coordinates. Use with `da` where `a0` is the starting
-            coordinate and `da` the step.
-        aaxis
-            :class:`plotly.graph_objects.carpet.Aaxis` instance or
-            dict with compatible properties
-        asrc
-            Sets the source reference on Chart Studio Cloud for  a
-            .
-        b
-            A two dimensional array of y coordinates at each carpet
-            point.
-        b0
-            Alternate to `b`. Builds a linear space of a
-            coordinates. Use with `db` where `b0` is the starting
-            coordinate and `db` the step.
-        baxis
-            :class:`plotly.graph_objects.carpet.Baxis` instance or
-            dict with compatible properties
-        bsrc
-            Sets the source reference on Chart Studio Cloud for  b
-            .
-        carpet
-            An identifier for this carpet, so that `scattercarpet`
-            and `contourcarpet` traces can specify a carpet plot on
-            which they lie
-        cheaterslope
-            The shift applied to each successive row of data in
-            creating a cheater plot. Only used if `x` is been
-            ommitted.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        da
-            Sets the a coordinate step. See `a0` for more info.
-        db
-            Sets the b coordinate step. See `b0` for more info.
-        font
-            The default font used for axis & tick labels on this
-            carpet
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        stream
-            :class:`plotly.graph_objects.carpet.Stream` instance or
-            dict with compatible properties
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        x
-            A two dimensional array of x coordinates at each carpet
-            point. If ommitted, the plot is a cheater plot and the
-            xaxis is hidden by default.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            A two dimensional array of y coordinates at each carpet
-            point.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Carpet
-        """
-        super(Carpet, self).__init__("carpet")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Carpet 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Carpet`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import carpet as v_carpet
-
-        # Initialize validators
-        # ---------------------
-        self._validators["a"] = v_carpet.AValidator()
-        self._validators["a0"] = v_carpet.A0Validator()
-        self._validators["aaxis"] = v_carpet.AaxisValidator()
-        self._validators["asrc"] = v_carpet.AsrcValidator()
-        self._validators["b"] = v_carpet.BValidator()
-        self._validators["b0"] = v_carpet.B0Validator()
-        self._validators["baxis"] = v_carpet.BaxisValidator()
-        self._validators["bsrc"] = v_carpet.BsrcValidator()
-        self._validators["carpet"] = v_carpet.CarpetValidator()
-        self._validators["cheaterslope"] = v_carpet.CheaterslopeValidator()
-        self._validators["color"] = v_carpet.ColorValidator()
-        self._validators["customdata"] = v_carpet.CustomdataValidator()
-        self._validators["customdatasrc"] = v_carpet.CustomdatasrcValidator()
-        self._validators["da"] = v_carpet.DaValidator()
-        self._validators["db"] = v_carpet.DbValidator()
-        self._validators["font"] = v_carpet.FontValidator()
-        self._validators["ids"] = v_carpet.IdsValidator()
-        self._validators["idssrc"] = v_carpet.IdssrcValidator()
-        self._validators["meta"] = v_carpet.MetaValidator()
-        self._validators["metasrc"] = v_carpet.MetasrcValidator()
-        self._validators["name"] = v_carpet.NameValidator()
-        self._validators["opacity"] = v_carpet.OpacityValidator()
-        self._validators["stream"] = v_carpet.StreamValidator()
-        self._validators["uid"] = v_carpet.UidValidator()
-        self._validators["uirevision"] = v_carpet.UirevisionValidator()
-        self._validators["visible"] = v_carpet.VisibleValidator()
-        self._validators["x"] = v_carpet.XValidator()
-        self._validators["xaxis"] = v_carpet.XAxisValidator()
-        self._validators["xsrc"] = v_carpet.XsrcValidator()
-        self._validators["y"] = v_carpet.YValidator()
-        self._validators["yaxis"] = v_carpet.YAxisValidator()
-        self._validators["ysrc"] = v_carpet.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("a", None)
-        self["a"] = a if a is not None else _v
-        _v = arg.pop("a0", None)
-        self["a0"] = a0 if a0 is not None else _v
-        _v = arg.pop("aaxis", None)
-        self["aaxis"] = aaxis if aaxis is not None else _v
-        _v = arg.pop("asrc", None)
-        self["asrc"] = asrc if asrc is not None else _v
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("b0", None)
-        self["b0"] = b0 if b0 is not None else _v
-        _v = arg.pop("baxis", None)
-        self["baxis"] = baxis if baxis is not None else _v
-        _v = arg.pop("bsrc", None)
-        self["bsrc"] = bsrc if bsrc is not None else _v
-        _v = arg.pop("carpet", None)
-        self["carpet"] = carpet if carpet is not None else _v
-        _v = arg.pop("cheaterslope", None)
-        self["cheaterslope"] = cheaterslope if cheaterslope is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("da", None)
-        self["da"] = da if da is not None else _v
-        _v = arg.pop("db", None)
-        self["db"] = db if db is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "carpet"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="carpet", val="carpet"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Candlestick(_BaseTraceType):
-
-    # close
-    # -----
-    @property
-    def close(self):
-        """
-        Sets the close values.
-    
-        The 'close' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["close"]
-
-    @close.setter
-    def close(self, val):
-        self["close"] = val
-
-    # closesrc
-    # --------
-    @property
-    def closesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  close .
-    
-        The 'closesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["closesrc"]
-
-    @closesrc.setter
-    def closesrc(self, val):
-        self["closesrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # decreasing
-    # ----------
-    @property
-    def decreasing(self):
-        """
-        The 'decreasing' property is an instance of Decreasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.Decreasing`
-          - A dict of string/value properties that will be passed
-            to the Decreasing constructor
-    
-            Supported dict properties:
-                
-                fillcolor
-                    Sets the fill color. Defaults to a half-
-                    transparent variant of the line color, marker
-                    color, or marker line color, whichever is
-                    available.
-                line
-                    :class:`plotly.graph_objects.candlestick.decrea
-                    sing.Line` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.Decreasing
-        """
-        return self["decreasing"]
-
-    @decreasing.setter
-    def decreasing(self, val):
-        self["decreasing"] = val
-
-    # high
-    # ----
-    @property
-    def high(self):
-        """
-        Sets the high values.
-    
-        The 'high' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["high"]
-
-    @high.setter
-    def high(self, val):
-        self["high"] = val
-
-    # highsrc
-    # -------
-    @property
-    def highsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  high .
-    
-        The 'highsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["highsrc"]
-
-    @highsrc.setter
-    def highsrc(self, val):
-        self["highsrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-                split
-                    Show hover information (open, close, high, low)
-                    in separate labels.
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # increasing
-    # ----------
-    @property
-    def increasing(self):
-        """
-        The 'increasing' property is an instance of Increasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.Increasing`
-          - A dict of string/value properties that will be passed
-            to the Increasing constructor
-    
-            Supported dict properties:
-                
-                fillcolor
-                    Sets the fill color. Defaults to a half-
-                    transparent variant of the line color, marker
-                    color, or marker line color, whichever is
-                    available.
-                line
-                    :class:`plotly.graph_objects.candlestick.increa
-                    sing.Line` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.Increasing
-        """
-        return self["increasing"]
-
-    @increasing.setter
-    def increasing(self, val):
-        self["increasing"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                width
-                    Sets the width (in px) of line bounding the
-                    box(es). Note that this style setting can also
-                    be set per direction via
-                    `increasing.line.width` and
-                    `decreasing.line.width`.
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # low
-    # ---
-    @property
-    def low(self):
-        """
-        Sets the low values.
-    
-        The 'low' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["low"]
-
-    @low.setter
-    def low(self, val):
-        self["low"] = val
-
-    # lowsrc
-    # ------
-    @property
-    def lowsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  low .
-    
-        The 'lowsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["lowsrc"]
-
-    @lowsrc.setter
-    def lowsrc(self, val):
-        self["lowsrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # open
-    # ----
-    @property
-    def open(self):
-        """
-        Sets the open values.
-    
-        The 'open' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["open"]
-
-    @open.setter
-    def open(self, val):
-        self["open"] = val
-
-    # opensrc
-    # -------
-    @property
-    def opensrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  open .
-    
-        The 'opensrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opensrc"]
-
-    @opensrc.setter
-    def opensrc(self, val):
-        self["opensrc"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets hover text elements associated with each sample point. If
-        a single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        this trace's sample points.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # whiskerwidth
-    # ------------
-    @property
-    def whiskerwidth(self):
-        """
-        Sets the width of the whiskers relative to the box' width. For
-        example, with 1, the whiskers are as wide as the box(es).
-    
-        The 'whiskerwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["whiskerwidth"]
-
-    @whiskerwidth.setter
-    def whiskerwidth(self, val):
-        self["whiskerwidth"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates. If absent, linear coordinate will be
-        generated.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        close
-            Sets the close values.
-        closesrc
-            Sets the source reference on Chart Studio Cloud for
-            close .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        decreasing
-            :class:`plotly.graph_objects.candlestick.Decreasing`
-            instance or dict with compatible properties
-        high
-            Sets the high values.
-        highsrc
-            Sets the source reference on Chart Studio Cloud for
-            high .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.candlestick.Hoverlabel`
-            instance or dict with compatible properties
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        increasing
-            :class:`plotly.graph_objects.candlestick.Increasing`
-            instance or dict with compatible properties
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.candlestick.Line` instance
-            or dict with compatible properties
-        low
-            Sets the low values.
-        lowsrc
-            Sets the source reference on Chart Studio Cloud for
-            low .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        open
-            Sets the open values.
-        opensrc
-            Sets the source reference on Chart Studio Cloud for
-            open .
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.candlestick.Stream`
-            instance or dict with compatible properties
-        text
-            Sets hover text elements associated with each sample
-            point. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to this trace's sample points.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        whiskerwidth
-            Sets the width of the whiskers relative to the box'
-            width. For example, with 1, the whiskers are as wide as
-            the box(es).
-        x
-            Sets the x coordinates. If absent, linear coordinate
-            will be generated.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        close=None,
-        closesrc=None,
-        customdata=None,
-        customdatasrc=None,
-        decreasing=None,
-        high=None,
-        highsrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        increasing=None,
-        legendgroup=None,
-        line=None,
-        low=None,
-        lowsrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        open=None,
-        opensrc=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        whiskerwidth=None,
-        x=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        yaxis=None,
-        **kwargs
-    ):
-        """
-        Construct a new Candlestick object
-        
-        The candlestick is a style of financial chart describing open,
-        high, low and close for a given `x` coordinate (most likely
-        time). The boxes represent the spread between the `open` and
-        `close` values and the lines represent the spread between the
-        `low` and `high` values Sample points where the close value is
-        higher (lower) then the open value are called increasing
-        (decreasing). By default, increasing candles are drawn in green
-        whereas decreasing are drawn in red.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Candlestick`
-        close
-            Sets the close values.
-        closesrc
-            Sets the source reference on Chart Studio Cloud for
-            close .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        decreasing
-            :class:`plotly.graph_objects.candlestick.Decreasing`
-            instance or dict with compatible properties
-        high
-            Sets the high values.
-        highsrc
-            Sets the source reference on Chart Studio Cloud for
-            high .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.candlestick.Hoverlabel`
-            instance or dict with compatible properties
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        increasing
-            :class:`plotly.graph_objects.candlestick.Increasing`
-            instance or dict with compatible properties
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.candlestick.Line` instance
-            or dict with compatible properties
-        low
-            Sets the low values.
-        lowsrc
-            Sets the source reference on Chart Studio Cloud for
-            low .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        open
-            Sets the open values.
-        opensrc
-            Sets the source reference on Chart Studio Cloud for
-            open .
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.candlestick.Stream`
-            instance or dict with compatible properties
-        text
-            Sets hover text elements associated with each sample
-            point. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to this trace's sample points.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        whiskerwidth
-            Sets the width of the whiskers relative to the box'
-            width. For example, with 1, the whiskers are as wide as
-            the box(es).
-        x
-            Sets the x coordinates. If absent, linear coordinate
-            will be generated.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-
-        Returns
-        -------
-        Candlestick
-        """
-        super(Candlestick, self).__init__("candlestick")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Candlestick 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Candlestick`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import candlestick as v_candlestick
-
-        # Initialize validators
-        # ---------------------
-        self._validators["close"] = v_candlestick.CloseValidator()
-        self._validators["closesrc"] = v_candlestick.ClosesrcValidator()
-        self._validators["customdata"] = v_candlestick.CustomdataValidator()
-        self._validators["customdatasrc"] = v_candlestick.CustomdatasrcValidator()
-        self._validators["decreasing"] = v_candlestick.DecreasingValidator()
-        self._validators["high"] = v_candlestick.HighValidator()
-        self._validators["highsrc"] = v_candlestick.HighsrcValidator()
-        self._validators["hoverinfo"] = v_candlestick.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_candlestick.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_candlestick.HoverlabelValidator()
-        self._validators["hovertext"] = v_candlestick.HovertextValidator()
-        self._validators["hovertextsrc"] = v_candlestick.HovertextsrcValidator()
-        self._validators["ids"] = v_candlestick.IdsValidator()
-        self._validators["idssrc"] = v_candlestick.IdssrcValidator()
-        self._validators["increasing"] = v_candlestick.IncreasingValidator()
-        self._validators["legendgroup"] = v_candlestick.LegendgroupValidator()
-        self._validators["line"] = v_candlestick.LineValidator()
-        self._validators["low"] = v_candlestick.LowValidator()
-        self._validators["lowsrc"] = v_candlestick.LowsrcValidator()
-        self._validators["meta"] = v_candlestick.MetaValidator()
-        self._validators["metasrc"] = v_candlestick.MetasrcValidator()
-        self._validators["name"] = v_candlestick.NameValidator()
-        self._validators["opacity"] = v_candlestick.OpacityValidator()
-        self._validators["open"] = v_candlestick.OpenValidator()
-        self._validators["opensrc"] = v_candlestick.OpensrcValidator()
-        self._validators["selectedpoints"] = v_candlestick.SelectedpointsValidator()
-        self._validators["showlegend"] = v_candlestick.ShowlegendValidator()
-        self._validators["stream"] = v_candlestick.StreamValidator()
-        self._validators["text"] = v_candlestick.TextValidator()
-        self._validators["textsrc"] = v_candlestick.TextsrcValidator()
-        self._validators["uid"] = v_candlestick.UidValidator()
-        self._validators["uirevision"] = v_candlestick.UirevisionValidator()
-        self._validators["visible"] = v_candlestick.VisibleValidator()
-        self._validators["whiskerwidth"] = v_candlestick.WhiskerwidthValidator()
-        self._validators["x"] = v_candlestick.XValidator()
-        self._validators["xaxis"] = v_candlestick.XAxisValidator()
-        self._validators["xcalendar"] = v_candlestick.XcalendarValidator()
-        self._validators["xsrc"] = v_candlestick.XsrcValidator()
-        self._validators["yaxis"] = v_candlestick.YAxisValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("close", None)
-        self["close"] = close if close is not None else _v
-        _v = arg.pop("closesrc", None)
-        self["closesrc"] = closesrc if closesrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("decreasing", None)
-        self["decreasing"] = decreasing if decreasing is not None else _v
-        _v = arg.pop("high", None)
-        self["high"] = high if high is not None else _v
-        _v = arg.pop("highsrc", None)
-        self["highsrc"] = highsrc if highsrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("increasing", None)
-        self["increasing"] = increasing if increasing is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("low", None)
-        self["low"] = low if low is not None else _v
-        _v = arg.pop("lowsrc", None)
-        self["lowsrc"] = lowsrc if lowsrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("open", None)
-        self["open"] = open if open is not None else _v
-        _v = arg.pop("opensrc", None)
-        self["opensrc"] = opensrc if opensrc is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("whiskerwidth", None)
-        self["whiskerwidth"] = whiskerwidth if whiskerwidth is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "candlestick"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="candlestick", val="candlestick"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Box(_BaseTraceType):
-
-    # alignmentgroup
-    # --------------
-    @property
-    def alignmentgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same alignmentgroup. This controls whether bars
-        compute their positional range dependently or independently.
-    
-        The 'alignmentgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["alignmentgroup"]
-
-    @alignmentgroup.setter
-    def alignmentgroup(self, val):
-        self["alignmentgroup"] = val
-
-    # boxmean
-    # -------
-    @property
-    def boxmean(self):
-        """
-        If True, the mean of the box(es)' underlying distribution is
-        drawn as a dashed line inside the box(es). If "sd" the standard
-        deviation is also drawn. Defaults to True when `mean` is set.
-        Defaults to "sd" when `sd` is set Otherwise defaults to False.
-    
-        The 'boxmean' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, 'sd', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["boxmean"]
-
-    @boxmean.setter
-    def boxmean(self, val):
-        self["boxmean"] = val
-
-    # boxpoints
-    # ---------
-    @property
-    def boxpoints(self):
-        """
-        If "outliers", only the sample points lying outside the
-        whiskers are shown If "suspectedoutliers", the outlier points
-        are shown and points either less than 4*Q1-3*Q3 or greater than
-        4*Q3-3*Q1 are highlighted (see `outliercolor`) If "all", all
-        sample points are shown If False, only the box(es) are shown
-        with no sample points Defaults to "suspectedoutliers" when
-        `marker.outliercolor` or `marker.line.outliercolor` is set.
-        Defaults to "all" under the q1/median/q3 signature. Otherwise
-        defaults to "outliers".
-    
-        The 'boxpoints' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'outliers', 'suspectedoutliers', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["boxpoints"]
-
-    @boxpoints.setter
-    def boxpoints(self, val):
-        self["boxpoints"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step for multi-box traces set using
-        q1/median/q3.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step for multi-box traces set using
-        q1/median/q3.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.box.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hoveron
-    # -------
-    @property
-    def hoveron(self):
-        """
-        Do the hover effects highlight individual boxes  or sample
-        points or both?
-    
-        The 'hoveron' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['boxes', 'points'] joined with '+' characters
-            (e.g. 'boxes+points')
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoveron"]
-
-    @hoveron.setter
-    def hoveron(self, val):
-        self["hoveron"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # jitter
-    # ------
-    @property
-    def jitter(self):
-        """
-        Sets the amount of jitter in the sample points drawn. If 0, the
-        sample points align along the distribution axis. If 1, the
-        sample points are drawn in a random jitter of width equal to
-        the width of the box(es).
-    
-        The 'jitter' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["jitter"]
-
-    @jitter.setter
-    def jitter(self, val):
-        self["jitter"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of line bounding the box(es).
-                width
-                    Sets the width (in px) of line bounding the
-                    box(es).
-
-        Returns
-        -------
-        plotly.graph_objs.box.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # lowerfence
-    # ----------
-    @property
-    def lowerfence(self):
-        """
-        Sets the lower fence values. There should be as many items as
-        the number of boxes desired. This attribute has effect only
-        under the q1/median/q3 signature. If `lowerfence` is not
-        provided but a sample (in `y` or `x`) is set, we compute the
-        lower as the last sample point below 1.5 times the IQR.
-    
-        The 'lowerfence' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["lowerfence"]
-
-    @lowerfence.setter
-    def lowerfence(self, val):
-        self["lowerfence"] = val
-
-    # lowerfencesrc
-    # -------------
-    @property
-    def lowerfencesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  lowerfence
-        .
-    
-        The 'lowerfencesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["lowerfencesrc"]
-
-    @lowerfencesrc.setter
-    def lowerfencesrc(self, val):
-        self["lowerfencesrc"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                line
-                    :class:`plotly.graph_objects.box.marker.Line`
-                    instance or dict with compatible properties
-                opacity
-                    Sets the marker opacity.
-                outliercolor
-                    Sets the color of the outlier sample points.
-                size
-                    Sets the marker size (in px).
-                symbol
-                    Sets the marker symbol type. Adding 100 is
-                    equivalent to appending "-open" to a symbol
-                    name. Adding 200 is equivalent to appending
-                    "-dot" to a symbol name. Adding 300 is
-                    equivalent to appending "-open-dot" or "dot-
-                    open" to a symbol name.
-
-        Returns
-        -------
-        plotly.graph_objs.box.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # mean
-    # ----
-    @property
-    def mean(self):
-        """
-        Sets the mean values. There should be as many items as the
-        number of boxes desired. This attribute has effect only under
-        the q1/median/q3 signature. If `mean` is not provided but a
-        sample (in `y` or `x`) is set, we compute the mean for each box
-        using the sample values.
-    
-        The 'mean' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["mean"]
-
-    @mean.setter
-    def mean(self, val):
-        self["mean"] = val
-
-    # meansrc
-    # -------
-    @property
-    def meansrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  mean .
-    
-        The 'meansrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["meansrc"]
-
-    @meansrc.setter
-    def meansrc(self, val):
-        self["meansrc"] = val
-
-    # median
-    # ------
-    @property
-    def median(self):
-        """
-        Sets the median values. There should be as many items as the
-        number of boxes desired.
-    
-        The 'median' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["median"]
-
-    @median.setter
-    def median(self, val):
-        self["median"] = val
-
-    # mediansrc
-    # ---------
-    @property
-    def mediansrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  median .
-    
-        The 'mediansrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["mediansrc"]
-
-    @mediansrc.setter
-    def mediansrc(self, val):
-        self["mediansrc"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover. For box traces, the name will also be used for
-        the position coordinate, if `x` and `x0` (`y` and `y0` if
-        horizontal) are missing and the position axis is categorical
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # notched
-    # -------
-    @property
-    def notched(self):
-        """
-        Determines whether or not notches are drawn. Notches displays a
-        confidence interval around the median. We compute the
-        confidence interval as median +/- 1.57 * IQR / sqrt(N), where
-        IQR is the interquartile range and N is the sample size. If two
-        boxes' notches do not overlap there is 95% confidence their
-        medians differ. See
-        https://sites.google.com/site/davidsstatistics/home/notched-
-        box-plots for more info. Defaults to False unless `notchwidth`
-        or `notchspan` is set.
-    
-        The 'notched' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["notched"]
-
-    @notched.setter
-    def notched(self, val):
-        self["notched"] = val
-
-    # notchspan
-    # ---------
-    @property
-    def notchspan(self):
-        """
-        Sets the notch span from the boxes' `median` values. There
-        should be as many items as the number of boxes desired. This
-        attribute has effect only under the q1/median/q3 signature. If
-        `notchspan` is not provided but a sample (in `y` or `x`) is
-        set, we compute it as 1.57 * IQR / sqrt(N), where N is the
-        sample size.
-    
-        The 'notchspan' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["notchspan"]
-
-    @notchspan.setter
-    def notchspan(self, val):
-        self["notchspan"] = val
-
-    # notchspansrc
-    # ------------
-    @property
-    def notchspansrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  notchspan
-        .
-    
-        The 'notchspansrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["notchspansrc"]
-
-    @notchspansrc.setter
-    def notchspansrc(self, val):
-        self["notchspansrc"] = val
-
-    # notchwidth
-    # ----------
-    @property
-    def notchwidth(self):
-        """
-        Sets the width of the notches relative to the box' width. For
-        example, with 0, the notches are as wide as the box(es).
-    
-        The 'notchwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, 0.5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["notchwidth"]
-
-    @notchwidth.setter
-    def notchwidth(self, val):
-        self["notchwidth"] = val
-
-    # offsetgroup
-    # -----------
-    @property
-    def offsetgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same offsetgroup where bars of the same position
-        coordinate will line up.
-    
-        The 'offsetgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetgroup"]
-
-    @offsetgroup.setter
-    def offsetgroup(self, val):
-        self["offsetgroup"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the box(es). If "v" ("h"), the
-        distribution is visualized along the vertical (horizontal).
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # pointpos
-    # --------
-    @property
-    def pointpos(self):
-        """
-        Sets the position of the sample points in relation to the
-        box(es). If 0, the sample points are places over the center of
-        the box(es). Positive (negative) values correspond to positions
-        to the right (left) for vertical boxes and above (below) for
-        horizontal boxes
-    
-        The 'pointpos' property is a number and may be specified as:
-          - An int or float in the interval [-2, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["pointpos"]
-
-    @pointpos.setter
-    def pointpos(self, val):
-        self["pointpos"] = val
-
-    # q1
-    # --
-    @property
-    def q1(self):
-        """
-        Sets the Quartile 1 values. There should be as many items as
-        the number of boxes desired.
-    
-        The 'q1' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["q1"]
-
-    @q1.setter
-    def q1(self, val):
-        self["q1"] = val
-
-    # q1src
-    # -----
-    @property
-    def q1src(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  q1 .
-    
-        The 'q1src' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["q1src"]
-
-    @q1src.setter
-    def q1src(self, val):
-        self["q1src"] = val
-
-    # q3
-    # --
-    @property
-    def q3(self):
-        """
-        Sets the Quartile 3 values. There should be as many items as
-        the number of boxes desired.
-    
-        The 'q3' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["q3"]
-
-    @q3.setter
-    def q3(self, val):
-        self["q3"] = val
-
-    # q3src
-    # -----
-    @property
-    def q3src(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  q3 .
-    
-        The 'q3src' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["q3src"]
-
-    @q3src.setter
-    def q3src(self, val):
-        self["q3src"] = val
-
-    # quartilemethod
-    # --------------
-    @property
-    def quartilemethod(self):
-        """
-        Sets the method used to compute the sample's Q1 and Q3
-        quartiles. The "linear" method uses the 25th percentile for Q1
-        and 75th percentile for Q3 as computed using method #10 (listed
-        on http://www.amstat.org/publications/jse/v14n3/langford.html).
-        The "exclusive" method uses the median to divide the ordered
-        dataset into two halves if the sample is odd, it does not
-        include the median in either half - Q1 is then the median of
-        the lower half and Q3 the median of the upper half. The
-        "inclusive" method also uses the median to divide the ordered
-        dataset into two halves but if the sample is odd, it includes
-        the median in both halves - Q1 is then the median of the lower
-        half and Q3 the median of the upper half.
-    
-        The 'quartilemethod' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'exclusive', 'inclusive']
-
-        Returns
-        -------
-        Any
-        """
-        return self["quartilemethod"]
-
-    @quartilemethod.setter
-    def quartilemethod(self, val):
-        self["quartilemethod"] = val
-
-    # sd
-    # --
-    @property
-    def sd(self):
-        """
-        Sets the standard deviation values. There should be as many
-        items as the number of boxes desired. This attribute has effect
-        only under the q1/median/q3 signature. If `sd` is not provided
-        but a sample (in `y` or `x`) is set, we compute the standard
-        deviation for each box using the sample values.
-    
-        The 'sd' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["sd"]
-
-    @sd.setter
-    def sd(self, val):
-        self["sd"] = val
-
-    # sdsrc
-    # -----
-    @property
-    def sdsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  sd .
-    
-        The 'sdsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sdsrc"]
-
-    @sdsrc.setter
-    def sdsrc(self, val):
-        self["sdsrc"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.box.selected.Marke
-                    r` instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.box.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.box.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text elements associated with each sample value. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.box.unselected.Mar
-                    ker` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.box.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # upperfence
-    # ----------
-    @property
-    def upperfence(self):
-        """
-        Sets the upper fence values. There should be as many items as
-        the number of boxes desired. This attribute has effect only
-        under the q1/median/q3 signature. If `upperfence` is not
-        provided but a sample (in `y` or `x`) is set, we compute the
-        lower as the last sample point above 1.5 times the IQR.
-    
-        The 'upperfence' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["upperfence"]
-
-    @upperfence.setter
-    def upperfence(self, val):
-        self["upperfence"] = val
-
-    # upperfencesrc
-    # -------------
-    @property
-    def upperfencesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  upperfence
-        .
-    
-        The 'upperfencesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["upperfencesrc"]
-
-    @upperfencesrc.setter
-    def upperfencesrc(self, val):
-        self["upperfencesrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # whiskerwidth
-    # ------------
-    @property
-    def whiskerwidth(self):
-        """
-        Sets the width of the whiskers relative to the box' width. For
-        example, with 1, the whiskers are as wide as the box(es).
-    
-        The 'whiskerwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["whiskerwidth"]
-
-    @whiskerwidth.setter
-    def whiskerwidth(self, val):
-        self["whiskerwidth"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the box in data coordinate If 0 (default
-        value) the width is automatically selected based on the
-        positions of other box traces in the same subplot.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x sample data or coordinates. See overview for more
-        info.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Sets the x coordinate for single-box traces or the starting
-        coordinate for multi-box traces set using q1/median/q3. See
-        overview for more info.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y sample data or coordinates. See overview for more
-        info.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Sets the y coordinate for single-box traces or the starting
-        coordinate for multi-box traces set using q1/median/q3. See
-        overview for more info.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        boxmean
-            If True, the mean of the box(es)' underlying
-            distribution is drawn as a dashed line inside the
-            box(es). If "sd" the standard deviation is also drawn.
-            Defaults to True when `mean` is set. Defaults to "sd"
-            when `sd` is set Otherwise defaults to False.
-        boxpoints
-            If "outliers", only the sample points lying outside the
-            whiskers are shown If "suspectedoutliers", the outlier
-            points are shown and points either less than 4*Q1-3*Q3
-            or greater than 4*Q3-3*Q1 are highlighted (see
-            `outliercolor`) If "all", all sample points are shown
-            If False, only the box(es) are shown with no sample
-            points Defaults to "suspectedoutliers" when
-            `marker.outliercolor` or `marker.line.outliercolor` is
-            set. Defaults to "all" under the q1/median/q3
-            signature. Otherwise defaults to "outliers".
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step for multi-box traces set
-            using q1/median/q3.
-        dy
-            Sets the y coordinate step for multi-box traces set
-            using q1/median/q3.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.box.Hoverlabel` instance
-            or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual boxes  or
-            sample points or both?
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        jitter
-            Sets the amount of jitter in the sample points drawn.
-            If 0, the sample points align along the distribution
-            axis. If 1, the sample points are drawn in a random
-            jitter of width equal to the width of the box(es).
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.box.Line` instance or dict
-            with compatible properties
-        lowerfence
-            Sets the lower fence values. There should be as many
-            items as the number of boxes desired. This attribute
-            has effect only under the q1/median/q3 signature. If
-            `lowerfence` is not provided but a sample (in `y` or
-            `x`) is set, we compute the lower as the last sample
-            point below 1.5 times the IQR.
-        lowerfencesrc
-            Sets the source reference on Chart Studio Cloud for
-            lowerfence .
-        marker
-            :class:`plotly.graph_objects.box.Marker` instance or
-            dict with compatible properties
-        mean
-            Sets the mean values. There should be as many items as
-            the number of boxes desired. This attribute has effect
-            only under the q1/median/q3 signature. If `mean` is not
-            provided but a sample (in `y` or `x`) is set, we
-            compute the mean for each box using the sample values.
-        meansrc
-            Sets the source reference on Chart Studio Cloud for
-            mean .
-        median
-            Sets the median values. There should be as many items
-            as the number of boxes desired.
-        mediansrc
-            Sets the source reference on Chart Studio Cloud for
-            median .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover. For box traces, the name will
-            also be used for the position coordinate, if `x` and
-            `x0` (`y` and `y0` if horizontal) are missing and the
-            position axis is categorical
-        notched
-            Determines whether or not notches are drawn. Notches
-            displays a confidence interval around the median. We
-            compute the confidence interval as median +/- 1.57 *
-            IQR / sqrt(N), where IQR is the interquartile range and
-            N is the sample size. If two boxes' notches do not
-            overlap there is 95% confidence their medians differ.
-            See https://sites.google.com/site/davidsstatistics/home
-            /notched-box-plots for more info. Defaults to False
-            unless `notchwidth` or `notchspan` is set.
-        notchspan
-            Sets the notch span from the boxes' `median` values.
-            There should be as many items as the number of boxes
-            desired. This attribute has effect only under the
-            q1/median/q3 signature. If `notchspan` is not provided
-            but a sample (in `y` or `x`) is set, we compute it as
-            1.57 * IQR / sqrt(N), where N is the sample size.
-        notchspansrc
-            Sets the source reference on Chart Studio Cloud for
-            notchspan .
-        notchwidth
-            Sets the width of the notches relative to the box'
-            width. For example, with 0, the notches are as wide as
-            the box(es).
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the box(es). If "v" ("h"), the
-            distribution is visualized along the vertical
-            (horizontal).
-        pointpos
-            Sets the position of the sample points in relation to
-            the box(es). If 0, the sample points are places over
-            the center of the box(es). Positive (negative) values
-            correspond to positions to the right (left) for
-            vertical boxes and above (below) for horizontal boxes
-        q1
-            Sets the Quartile 1 values. There should be as many
-            items as the number of boxes desired.
-        q1src
-            Sets the source reference on Chart Studio Cloud for  q1
-            .
-        q3
-            Sets the Quartile 3 values. There should be as many
-            items as the number of boxes desired.
-        q3src
-            Sets the source reference on Chart Studio Cloud for  q3
-            .
-        quartilemethod
-            Sets the method used to compute the sample's Q1 and Q3
-            quartiles. The "linear" method uses the 25th percentile
-            for Q1 and 75th percentile for Q3 as computed using
-            method #10 (listed on http://www.amstat.org/publication
-            s/jse/v14n3/langford.html). The "exclusive" method uses
-            the median to divide the ordered dataset into two
-            halves if the sample is odd, it does not include the
-            median in either half - Q1 is then the median of the
-            lower half and Q3 the median of the upper half. The
-            "inclusive" method also uses the median to divide the
-            ordered dataset into two halves but if the sample is
-            odd, it includes the median in both halves - Q1 is then
-            the median of the lower half and Q3 the median of the
-            upper half.
-        sd
-            Sets the standard deviation values. There should be as
-            many items as the number of boxes desired. This
-            attribute has effect only under the q1/median/q3
-            signature. If `sd` is not provided but a sample (in `y`
-            or `x`) is set, we compute the standard deviation for
-            each box using the sample values.
-        sdsrc
-            Sets the source reference on Chart Studio Cloud for  sd
-            .
-        selected
-            :class:`plotly.graph_objects.box.Selected` instance or
-            dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.box.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with each sample
-            value. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.box.Unselected` instance
-            or dict with compatible properties
-        upperfence
-            Sets the upper fence values. There should be as many
-            items as the number of boxes desired. This attribute
-            has effect only under the q1/median/q3 signature. If
-            `upperfence` is not provided but a sample (in `y` or
-            `x`) is set, we compute the lower as the last sample
-            point above 1.5 times the IQR.
-        upperfencesrc
-            Sets the source reference on Chart Studio Cloud for
-            upperfence .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        whiskerwidth
-            Sets the width of the whiskers relative to the box'
-            width. For example, with 1, the whiskers are as wide as
-            the box(es).
-        width
-            Sets the width of the box in data coordinate If 0
-            (default value) the width is automatically selected
-            based on the positions of other box traces in the same
-            subplot.
-        x
-            Sets the x sample data or coordinates. See overview for
-            more info.
-        x0
-            Sets the x coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y sample data or coordinates. See overview for
-            more info.
-        y0
-            Sets the y coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alignmentgroup=None,
-        boxmean=None,
-        boxpoints=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        fillcolor=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hoveron=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        jitter=None,
-        legendgroup=None,
-        line=None,
-        lowerfence=None,
-        lowerfencesrc=None,
-        marker=None,
-        mean=None,
-        meansrc=None,
-        median=None,
-        mediansrc=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        notched=None,
-        notchspan=None,
-        notchspansrc=None,
-        notchwidth=None,
-        offsetgroup=None,
-        opacity=None,
-        orientation=None,
-        pointpos=None,
-        q1=None,
-        q1src=None,
-        q3=None,
-        q3src=None,
-        quartilemethod=None,
-        sd=None,
-        sdsrc=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        text=None,
-        textsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        upperfence=None,
-        upperfencesrc=None,
-        visible=None,
-        whiskerwidth=None,
-        width=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ycalendar=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Box object
-        
-        Each box spans from quartile 1 (Q1) to quartile 3 (Q3). The
-        second quartile (Q2, i.e. the median) is marked by a line
-        inside the box. The fences grow outward from the boxes' edges,
-        by default they span +/- 1.5 times the interquartile range
-        (IQR: Q3-Q1), The sample mean and standard deviation as well as
-        notches and the sample, outlier and suspected outliers points
-        can be optionally added to the box plot. The values and
-        positions corresponding to each boxes can be input using two
-        signatures. The first signature expects users to supply the
-        sample values in the `y` data array for vertical boxes (`x` for
-        horizontal boxes). By supplying an `x` (`y`) array, one box per
-        distinct `x` (`y`) value is drawn If no `x` (`y`) list is
-        provided, a single box is drawn. In this case, the box is
-        positioned with the trace `name` or with `x0` (`y0`) if
-        provided. The second signature expects users to supply the
-        boxes corresponding Q1, median and Q3 statistics in the `q1`,
-        `median` and `q3` data arrays respectively. Other box features
-        relying on statistics namely `lowerfence`, `upperfence`,
-        `notchspan` can be set directly by the users. To have plotly
-        compute them or to show sample points besides the boxes, users
-        can set the `y` data array for vertical boxes (`x` for
-        horizontal boxes) to a 2D array with the outer length
-        corresponding to the number of boxes in the traces and the
-        inner length corresponding the sample size.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Box`
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        boxmean
-            If True, the mean of the box(es)' underlying
-            distribution is drawn as a dashed line inside the
-            box(es). If "sd" the standard deviation is also drawn.
-            Defaults to True when `mean` is set. Defaults to "sd"
-            when `sd` is set Otherwise defaults to False.
-        boxpoints
-            If "outliers", only the sample points lying outside the
-            whiskers are shown If "suspectedoutliers", the outlier
-            points are shown and points either less than 4*Q1-3*Q3
-            or greater than 4*Q3-3*Q1 are highlighted (see
-            `outliercolor`) If "all", all sample points are shown
-            If False, only the box(es) are shown with no sample
-            points Defaults to "suspectedoutliers" when
-            `marker.outliercolor` or `marker.line.outliercolor` is
-            set. Defaults to "all" under the q1/median/q3
-            signature. Otherwise defaults to "outliers".
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step for multi-box traces set
-            using q1/median/q3.
-        dy
-            Sets the y coordinate step for multi-box traces set
-            using q1/median/q3.
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.box.Hoverlabel` instance
-            or dict with compatible properties
-        hoveron
-            Do the hover effects highlight individual boxes  or
-            sample points or both?
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        jitter
-            Sets the amount of jitter in the sample points drawn.
-            If 0, the sample points align along the distribution
-            axis. If 1, the sample points are drawn in a random
-            jitter of width equal to the width of the box(es).
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        line
-            :class:`plotly.graph_objects.box.Line` instance or dict
-            with compatible properties
-        lowerfence
-            Sets the lower fence values. There should be as many
-            items as the number of boxes desired. This attribute
-            has effect only under the q1/median/q3 signature. If
-            `lowerfence` is not provided but a sample (in `y` or
-            `x`) is set, we compute the lower as the last sample
-            point below 1.5 times the IQR.
-        lowerfencesrc
-            Sets the source reference on Chart Studio Cloud for
-            lowerfence .
-        marker
-            :class:`plotly.graph_objects.box.Marker` instance or
-            dict with compatible properties
-        mean
-            Sets the mean values. There should be as many items as
-            the number of boxes desired. This attribute has effect
-            only under the q1/median/q3 signature. If `mean` is not
-            provided but a sample (in `y` or `x`) is set, we
-            compute the mean for each box using the sample values.
-        meansrc
-            Sets the source reference on Chart Studio Cloud for
-            mean .
-        median
-            Sets the median values. There should be as many items
-            as the number of boxes desired.
-        mediansrc
-            Sets the source reference on Chart Studio Cloud for
-            median .
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover. For box traces, the name will
-            also be used for the position coordinate, if `x` and
-            `x0` (`y` and `y0` if horizontal) are missing and the
-            position axis is categorical
-        notched
-            Determines whether or not notches are drawn. Notches
-            displays a confidence interval around the median. We
-            compute the confidence interval as median +/- 1.57 *
-            IQR / sqrt(N), where IQR is the interquartile range and
-            N is the sample size. If two boxes' notches do not
-            overlap there is 95% confidence their medians differ.
-            See https://sites.google.com/site/davidsstatistics/home
-            /notched-box-plots for more info. Defaults to False
-            unless `notchwidth` or `notchspan` is set.
-        notchspan
-            Sets the notch span from the boxes' `median` values.
-            There should be as many items as the number of boxes
-            desired. This attribute has effect only under the
-            q1/median/q3 signature. If `notchspan` is not provided
-            but a sample (in `y` or `x`) is set, we compute it as
-            1.57 * IQR / sqrt(N), where N is the sample size.
-        notchspansrc
-            Sets the source reference on Chart Studio Cloud for
-            notchspan .
-        notchwidth
-            Sets the width of the notches relative to the box'
-            width. For example, with 0, the notches are as wide as
-            the box(es).
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the box(es). If "v" ("h"), the
-            distribution is visualized along the vertical
-            (horizontal).
-        pointpos
-            Sets the position of the sample points in relation to
-            the box(es). If 0, the sample points are places over
-            the center of the box(es). Positive (negative) values
-            correspond to positions to the right (left) for
-            vertical boxes and above (below) for horizontal boxes
-        q1
-            Sets the Quartile 1 values. There should be as many
-            items as the number of boxes desired.
-        q1src
-            Sets the source reference on Chart Studio Cloud for  q1
-            .
-        q3
-            Sets the Quartile 3 values. There should be as many
-            items as the number of boxes desired.
-        q3src
-            Sets the source reference on Chart Studio Cloud for  q3
-            .
-        quartilemethod
-            Sets the method used to compute the sample's Q1 and Q3
-            quartiles. The "linear" method uses the 25th percentile
-            for Q1 and 75th percentile for Q3 as computed using
-            method #10 (listed on http://www.amstat.org/publication
-            s/jse/v14n3/langford.html). The "exclusive" method uses
-            the median to divide the ordered dataset into two
-            halves if the sample is odd, it does not include the
-            median in either half - Q1 is then the median of the
-            lower half and Q3 the median of the upper half. The
-            "inclusive" method also uses the median to divide the
-            ordered dataset into two halves but if the sample is
-            odd, it includes the median in both halves - Q1 is then
-            the median of the lower half and Q3 the median of the
-            upper half.
-        sd
-            Sets the standard deviation values. There should be as
-            many items as the number of boxes desired. This
-            attribute has effect only under the q1/median/q3
-            signature. If `sd` is not provided but a sample (in `y`
-            or `x`) is set, we compute the standard deviation for
-            each box using the sample values.
-        sdsrc
-            Sets the source reference on Chart Studio Cloud for  sd
-            .
-        selected
-            :class:`plotly.graph_objects.box.Selected` instance or
-            dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.box.Stream` instance or
-            dict with compatible properties
-        text
-            Sets the text elements associated with each sample
-            value. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.box.Unselected` instance
-            or dict with compatible properties
-        upperfence
-            Sets the upper fence values. There should be as many
-            items as the number of boxes desired. This attribute
-            has effect only under the q1/median/q3 signature. If
-            `upperfence` is not provided but a sample (in `y` or
-            `x`) is set, we compute the lower as the last sample
-            point above 1.5 times the IQR.
-        upperfencesrc
-            Sets the source reference on Chart Studio Cloud for
-            upperfence .
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        whiskerwidth
-            Sets the width of the whiskers relative to the box'
-            width. For example, with 1, the whiskers are as wide as
-            the box(es).
-        width
-            Sets the width of the box in data coordinate If 0
-            (default value) the width is automatically selected
-            based on the positions of other box traces in the same
-            subplot.
-        x
-            Sets the x sample data or coordinates. See overview for
-            more info.
-        x0
-            Sets the x coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y sample data or coordinates. See overview for
-            more info.
-        y0
-            Sets the y coordinate for single-box traces or the
-            starting coordinate for multi-box traces set using
-            q1/median/q3. See overview for more info.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Box
-        """
-        super(Box, self).__init__("box")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Box 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Box`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import box as v_box
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alignmentgroup"] = v_box.AlignmentgroupValidator()
-        self._validators["boxmean"] = v_box.BoxmeanValidator()
-        self._validators["boxpoints"] = v_box.BoxpointsValidator()
-        self._validators["customdata"] = v_box.CustomdataValidator()
-        self._validators["customdatasrc"] = v_box.CustomdatasrcValidator()
-        self._validators["dx"] = v_box.DxValidator()
-        self._validators["dy"] = v_box.DyValidator()
-        self._validators["fillcolor"] = v_box.FillcolorValidator()
-        self._validators["hoverinfo"] = v_box.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_box.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_box.HoverlabelValidator()
-        self._validators["hoveron"] = v_box.HoveronValidator()
-        self._validators["hovertemplate"] = v_box.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_box.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_box.HovertextValidator()
-        self._validators["hovertextsrc"] = v_box.HovertextsrcValidator()
-        self._validators["ids"] = v_box.IdsValidator()
-        self._validators["idssrc"] = v_box.IdssrcValidator()
-        self._validators["jitter"] = v_box.JitterValidator()
-        self._validators["legendgroup"] = v_box.LegendgroupValidator()
-        self._validators["line"] = v_box.LineValidator()
-        self._validators["lowerfence"] = v_box.LowerfenceValidator()
-        self._validators["lowerfencesrc"] = v_box.LowerfencesrcValidator()
-        self._validators["marker"] = v_box.MarkerValidator()
-        self._validators["mean"] = v_box.MeanValidator()
-        self._validators["meansrc"] = v_box.MeansrcValidator()
-        self._validators["median"] = v_box.MedianValidator()
-        self._validators["mediansrc"] = v_box.MediansrcValidator()
-        self._validators["meta"] = v_box.MetaValidator()
-        self._validators["metasrc"] = v_box.MetasrcValidator()
-        self._validators["name"] = v_box.NameValidator()
-        self._validators["notched"] = v_box.NotchedValidator()
-        self._validators["notchspan"] = v_box.NotchspanValidator()
-        self._validators["notchspansrc"] = v_box.NotchspansrcValidator()
-        self._validators["notchwidth"] = v_box.NotchwidthValidator()
-        self._validators["offsetgroup"] = v_box.OffsetgroupValidator()
-        self._validators["opacity"] = v_box.OpacityValidator()
-        self._validators["orientation"] = v_box.OrientationValidator()
-        self._validators["pointpos"] = v_box.PointposValidator()
-        self._validators["q1"] = v_box.Q1Validator()
-        self._validators["q1src"] = v_box.Q1SrcValidator()
-        self._validators["q3"] = v_box.Q3Validator()
-        self._validators["q3src"] = v_box.Q3SrcValidator()
-        self._validators["quartilemethod"] = v_box.QuartilemethodValidator()
-        self._validators["sd"] = v_box.SdValidator()
-        self._validators["sdsrc"] = v_box.SdsrcValidator()
-        self._validators["selected"] = v_box.SelectedValidator()
-        self._validators["selectedpoints"] = v_box.SelectedpointsValidator()
-        self._validators["showlegend"] = v_box.ShowlegendValidator()
-        self._validators["stream"] = v_box.StreamValidator()
-        self._validators["text"] = v_box.TextValidator()
-        self._validators["textsrc"] = v_box.TextsrcValidator()
-        self._validators["uid"] = v_box.UidValidator()
-        self._validators["uirevision"] = v_box.UirevisionValidator()
-        self._validators["unselected"] = v_box.UnselectedValidator()
-        self._validators["upperfence"] = v_box.UpperfenceValidator()
-        self._validators["upperfencesrc"] = v_box.UpperfencesrcValidator()
-        self._validators["visible"] = v_box.VisibleValidator()
-        self._validators["whiskerwidth"] = v_box.WhiskerwidthValidator()
-        self._validators["width"] = v_box.WidthValidator()
-        self._validators["x"] = v_box.XValidator()
-        self._validators["x0"] = v_box.X0Validator()
-        self._validators["xaxis"] = v_box.XAxisValidator()
-        self._validators["xcalendar"] = v_box.XcalendarValidator()
-        self._validators["xsrc"] = v_box.XsrcValidator()
-        self._validators["y"] = v_box.YValidator()
-        self._validators["y0"] = v_box.Y0Validator()
-        self._validators["yaxis"] = v_box.YAxisValidator()
-        self._validators["ycalendar"] = v_box.YcalendarValidator()
-        self._validators["ysrc"] = v_box.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alignmentgroup", None)
-        self["alignmentgroup"] = alignmentgroup if alignmentgroup is not None else _v
-        _v = arg.pop("boxmean", None)
-        self["boxmean"] = boxmean if boxmean is not None else _v
-        _v = arg.pop("boxpoints", None)
-        self["boxpoints"] = boxpoints if boxpoints is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hoveron", None)
-        self["hoveron"] = hoveron if hoveron is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("jitter", None)
-        self["jitter"] = jitter if jitter is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("lowerfence", None)
-        self["lowerfence"] = lowerfence if lowerfence is not None else _v
-        _v = arg.pop("lowerfencesrc", None)
-        self["lowerfencesrc"] = lowerfencesrc if lowerfencesrc is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("mean", None)
-        self["mean"] = mean if mean is not None else _v
-        _v = arg.pop("meansrc", None)
-        self["meansrc"] = meansrc if meansrc is not None else _v
-        _v = arg.pop("median", None)
-        self["median"] = median if median is not None else _v
-        _v = arg.pop("mediansrc", None)
-        self["mediansrc"] = mediansrc if mediansrc is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("notched", None)
-        self["notched"] = notched if notched is not None else _v
-        _v = arg.pop("notchspan", None)
-        self["notchspan"] = notchspan if notchspan is not None else _v
-        _v = arg.pop("notchspansrc", None)
-        self["notchspansrc"] = notchspansrc if notchspansrc is not None else _v
-        _v = arg.pop("notchwidth", None)
-        self["notchwidth"] = notchwidth if notchwidth is not None else _v
-        _v = arg.pop("offsetgroup", None)
-        self["offsetgroup"] = offsetgroup if offsetgroup is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("pointpos", None)
-        self["pointpos"] = pointpos if pointpos is not None else _v
-        _v = arg.pop("q1", None)
-        self["q1"] = q1 if q1 is not None else _v
-        _v = arg.pop("q1src", None)
-        self["q1src"] = q1src if q1src is not None else _v
-        _v = arg.pop("q3", None)
-        self["q3"] = q3 if q3 is not None else _v
-        _v = arg.pop("q3src", None)
-        self["q3src"] = q3src if q3src is not None else _v
-        _v = arg.pop("quartilemethod", None)
-        self["quartilemethod"] = quartilemethod if quartilemethod is not None else _v
-        _v = arg.pop("sd", None)
-        self["sd"] = sd if sd is not None else _v
-        _v = arg.pop("sdsrc", None)
-        self["sdsrc"] = sdsrc if sdsrc is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("upperfence", None)
-        self["upperfence"] = upperfence if upperfence is not None else _v
-        _v = arg.pop("upperfencesrc", None)
-        self["upperfencesrc"] = upperfencesrc if upperfencesrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("whiskerwidth", None)
-        self["whiskerwidth"] = whiskerwidth if whiskerwidth is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "box"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="box", val="box"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Barpolar(_BaseTraceType):
-
-    # base
-    # ----
-    @property
-    def base(self):
-        """
-        Sets where the bar base is drawn (in radial axis units). In
-        "stack" barmode, traces that set "base" will be excluded and
-        drawn in "overlay" mode instead.
-    
-        The 'base' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["base"]
-
-    @base.setter
-    def base(self, val):
-        self["base"] = val
-
-    # basesrc
-    # -------
-    @property
-    def basesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  base .
-    
-        The 'basesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["basesrc"]
-
-    @basesrc.setter
-    def basesrc(self, val):
-        self["basesrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dr
-    # --
-    @property
-    def dr(self):
-        """
-        Sets the r coordinate step.
-    
-        The 'dr' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dr"]
-
-    @dr.setter
-    def dr(self, val):
-        self["dr"] = val
-
-    # dtheta
-    # ------
-    @property
-    def dtheta(self):
-        """
-        Sets the theta coordinate step. By default, the `dtheta` step
-        equals the subplot's period divided by the length of the `r`
-        coordinates.
-    
-        The 'dtheta' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtheta"]
-
-    @dtheta.setter
-    def dtheta(self, val):
-        self["dtheta"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
-            (e.g. 'r+theta')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example "<extra>{fullData.name}</extra>". To
-        hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Same as `text`.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.barpolar.marker.Co
-                    lorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.barpolar.marker.Li
-                    ne` instance or dict with compatible properties
-                opacity
-                    Sets the opacity of the bars.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        Shifts the angular position where the bar is drawn (in
-        "thetatunit" units).
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # offsetsrc
-    # ---------
-    @property
-    def offsetsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  offset .
-    
-        The 'offsetsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetsrc"]
-
-    @offsetsrc.setter
-    def offsetsrc(self, val):
-        self["offsetsrc"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        Sets the radial coordinates
-    
-        The 'r' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # r0
-    # --
-    @property
-    def r0(self):
-        """
-        Alternate to `r`. Builds a linear space of r coordinates. Use
-        with `dr` where `r0` is the starting coordinate and `dr` the
-        step.
-    
-        The 'r0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["r0"]
-
-    @r0.setter
-    def r0(self, val):
-        self["r0"] = val
-
-    # rsrc
-    # ----
-    @property
-    def rsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  r .
-    
-        The 'rsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["rsrc"]
-
-    @rsrc.setter
-    def rsrc(self, val):
-        self["rsrc"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.barpolar.selected.
-                    Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.barpolar.selected.
-                    Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # subplot
-    # -------
-    @property
-    def subplot(self):
-        """
-        Sets a reference between this trace's data coordinates and a
-        polar subplot. If "polar" (the default value), the data refer
-        to `layout.polar`. If "polar2", the data refer to
-        `layout.polar2`, and so on.
-    
-        The 'subplot' property is an identifier of a particular
-        subplot, of type 'polar', that may be specified as the string 'polar'
-        optionally followed by an integer >= 1
-        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["subplot"]
-
-    @subplot.setter
-    def subplot(self, val):
-        self["subplot"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets hover text elements associated with each bar. If a single
-        string, the same string appears over all bars. If an array of
-        string, the items are mapped in order to the this trace's
-        coordinates.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # theta
-    # -----
-    @property
-    def theta(self):
-        """
-        Sets the angular coordinates
-    
-        The 'theta' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["theta"]
-
-    @theta.setter
-    def theta(self, val):
-        self["theta"] = val
-
-    # theta0
-    # ------
-    @property
-    def theta0(self):
-        """
-        Alternate to `theta`. Builds a linear space of theta
-        coordinates. Use with `dtheta` where `theta0` is the starting
-        coordinate and `dtheta` the step.
-    
-        The 'theta0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["theta0"]
-
-    @theta0.setter
-    def theta0(self, val):
-        self["theta0"] = val
-
-    # thetasrc
-    # --------
-    @property
-    def thetasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  theta .
-    
-        The 'thetasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["thetasrc"]
-
-    @thetasrc.setter
-    def thetasrc(self, val):
-        self["thetasrc"] = val
-
-    # thetaunit
-    # ---------
-    @property
-    def thetaunit(self):
-        """
-        Sets the unit of input "theta" values. Has an effect only when
-        on "linear" angular axes.
-    
-        The 'thetaunit' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radians', 'degrees', 'gradians']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thetaunit"]
-
-    @thetaunit.setter
-    def thetaunit(self, val):
-        self["thetaunit"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.barpolar.unselecte
-                    d.Marker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.barpolar.unselecte
-                    d.Textfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the bar angular width (in "thetaunit" units).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        base
-            Sets where the bar base is drawn (in radial axis
-            units). In "stack" barmode, traces that set "base" will
-            be excluded and drawn in "overlay" mode instead.
-        basesrc
-            Sets the source reference on Chart Studio Cloud for
-            base .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dr
-            Sets the r coordinate step.
-        dtheta
-            Sets the theta coordinate step. By default, the
-            `dtheta` step equals the subplot's period divided by
-            the length of the `r` coordinates.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.barpolar.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.barpolar.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the angular position where the bar is drawn (in
-            "thetatunit" units).
-        offsetsrc
-            Sets the source reference on Chart Studio Cloud for
-            offset .
-        opacity
-            Sets the opacity of the trace.
-        r
-            Sets the radial coordinates
-        r0
-            Alternate to `r`. Builds a linear space of r
-            coordinates. Use with `dr` where `r0` is the starting
-            coordinate and `dr` the step.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.barpolar.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.barpolar.Stream` instance
-            or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a polar subplot. If "polar" (the default value),
-            the data refer to `layout.polar`. If "polar2", the data
-            refer to `layout.polar2`, and so on.
-        text
-            Sets hover text elements associated with each bar. If a
-            single string, the same string appears over all bars.
-            If an array of string, the items are mapped in order to
-            the this trace's coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        theta
-            Sets the angular coordinates
-        theta0
-            Alternate to `theta`. Builds a linear space of theta
-            coordinates. Use with `dtheta` where `theta0` is the
-            starting coordinate and `dtheta` the step.
-        thetasrc
-            Sets the source reference on Chart Studio Cloud for
-            theta .
-        thetaunit
-            Sets the unit of input "theta" values. Has an effect
-            only when on "linear" angular axes.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.barpolar.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar angular width (in "thetaunit" units).
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        base=None,
-        basesrc=None,
-        customdata=None,
-        customdatasrc=None,
-        dr=None,
-        dtheta=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        offset=None,
-        offsetsrc=None,
-        opacity=None,
-        r=None,
-        r0=None,
-        rsrc=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        subplot=None,
-        text=None,
-        textsrc=None,
-        theta=None,
-        theta0=None,
-        thetasrc=None,
-        thetaunit=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Barpolar object
-        
-        The data visualized by the radial span of the bars is set in
-        `r`
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Barpolar`
-        base
-            Sets where the bar base is drawn (in radial axis
-            units). In "stack" barmode, traces that set "base" will
-            be excluded and drawn in "overlay" mode instead.
-        basesrc
-            Sets the source reference on Chart Studio Cloud for
-            base .
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dr
-            Sets the r coordinate step.
-        dtheta
-            Sets the theta coordinate step. By default, the
-            `dtheta` step equals the subplot's period divided by
-            the length of the `r` coordinates.
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.barpolar.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available.  Anything contained in tag `<extra>` is
-            displayed in the secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Same as `text`.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.barpolar.Marker` instance
-            or dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the angular position where the bar is drawn (in
-            "thetatunit" units).
-        offsetsrc
-            Sets the source reference on Chart Studio Cloud for
-            offset .
-        opacity
-            Sets the opacity of the trace.
-        r
-            Sets the radial coordinates
-        r0
-            Alternate to `r`. Builds a linear space of r
-            coordinates. Use with `dr` where `r0` is the starting
-            coordinate and `dr` the step.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.barpolar.Selected`
-            instance or dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.barpolar.Stream` instance
-            or dict with compatible properties
-        subplot
-            Sets a reference between this trace's data coordinates
-            and a polar subplot. If "polar" (the default value),
-            the data refer to `layout.polar`. If "polar2", the data
-            refer to `layout.polar2`, and so on.
-        text
-            Sets hover text elements associated with each bar. If a
-            single string, the same string appears over all bars.
-            If an array of string, the items are mapped in order to
-            the this trace's coordinates.
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        theta
-            Sets the angular coordinates
-        theta0
-            Alternate to `theta`. Builds a linear space of theta
-            coordinates. Use with `dtheta` where `theta0` is the
-            starting coordinate and `dtheta` the step.
-        thetasrc
-            Sets the source reference on Chart Studio Cloud for
-            theta .
-        thetaunit
-            Sets the unit of input "theta" values. Has an effect
-            only when on "linear" angular axes.
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.barpolar.Unselected`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar angular width (in "thetaunit" units).
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Barpolar
-        """
-        super(Barpolar, self).__init__("barpolar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Barpolar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Barpolar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import barpolar as v_barpolar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["base"] = v_barpolar.BaseValidator()
-        self._validators["basesrc"] = v_barpolar.BasesrcValidator()
-        self._validators["customdata"] = v_barpolar.CustomdataValidator()
-        self._validators["customdatasrc"] = v_barpolar.CustomdatasrcValidator()
-        self._validators["dr"] = v_barpolar.DrValidator()
-        self._validators["dtheta"] = v_barpolar.DthetaValidator()
-        self._validators["hoverinfo"] = v_barpolar.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_barpolar.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_barpolar.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_barpolar.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_barpolar.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_barpolar.HovertextValidator()
-        self._validators["hovertextsrc"] = v_barpolar.HovertextsrcValidator()
-        self._validators["ids"] = v_barpolar.IdsValidator()
-        self._validators["idssrc"] = v_barpolar.IdssrcValidator()
-        self._validators["legendgroup"] = v_barpolar.LegendgroupValidator()
-        self._validators["marker"] = v_barpolar.MarkerValidator()
-        self._validators["meta"] = v_barpolar.MetaValidator()
-        self._validators["metasrc"] = v_barpolar.MetasrcValidator()
-        self._validators["name"] = v_barpolar.NameValidator()
-        self._validators["offset"] = v_barpolar.OffsetValidator()
-        self._validators["offsetsrc"] = v_barpolar.OffsetsrcValidator()
-        self._validators["opacity"] = v_barpolar.OpacityValidator()
-        self._validators["r"] = v_barpolar.RValidator()
-        self._validators["r0"] = v_barpolar.R0Validator()
-        self._validators["rsrc"] = v_barpolar.RsrcValidator()
-        self._validators["selected"] = v_barpolar.SelectedValidator()
-        self._validators["selectedpoints"] = v_barpolar.SelectedpointsValidator()
-        self._validators["showlegend"] = v_barpolar.ShowlegendValidator()
-        self._validators["stream"] = v_barpolar.StreamValidator()
-        self._validators["subplot"] = v_barpolar.SubplotValidator()
-        self._validators["text"] = v_barpolar.TextValidator()
-        self._validators["textsrc"] = v_barpolar.TextsrcValidator()
-        self._validators["theta"] = v_barpolar.ThetaValidator()
-        self._validators["theta0"] = v_barpolar.Theta0Validator()
-        self._validators["thetasrc"] = v_barpolar.ThetasrcValidator()
-        self._validators["thetaunit"] = v_barpolar.ThetaunitValidator()
-        self._validators["uid"] = v_barpolar.UidValidator()
-        self._validators["uirevision"] = v_barpolar.UirevisionValidator()
-        self._validators["unselected"] = v_barpolar.UnselectedValidator()
-        self._validators["visible"] = v_barpolar.VisibleValidator()
-        self._validators["width"] = v_barpolar.WidthValidator()
-        self._validators["widthsrc"] = v_barpolar.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("base", None)
-        self["base"] = base if base is not None else _v
-        _v = arg.pop("basesrc", None)
-        self["basesrc"] = basesrc if basesrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dr", None)
-        self["dr"] = dr if dr is not None else _v
-        _v = arg.pop("dtheta", None)
-        self["dtheta"] = dtheta if dtheta is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("offsetsrc", None)
-        self["offsetsrc"] = offsetsrc if offsetsrc is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("r0", None)
-        self["r0"] = r0 if r0 is not None else _v
-        _v = arg.pop("rsrc", None)
-        self["rsrc"] = rsrc if rsrc is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("subplot", None)
-        self["subplot"] = subplot if subplot is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("theta", None)
-        self["theta"] = theta if theta is not None else _v
-        _v = arg.pop("theta0", None)
-        self["theta0"] = theta0 if theta0 is not None else _v
-        _v = arg.pop("thetasrc", None)
-        self["thetasrc"] = thetasrc if thetasrc is not None else _v
-        _v = arg.pop("thetaunit", None)
-        self["thetaunit"] = thetaunit if thetaunit is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "barpolar"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="barpolar", val="barpolar"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Bar(_BaseTraceType):
-
-    # alignmentgroup
-    # --------------
-    @property
-    def alignmentgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same alignmentgroup. This controls whether bars
-        compute their positional range dependently or independently.
-    
-        The 'alignmentgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["alignmentgroup"]
-
-    @alignmentgroup.setter
-    def alignmentgroup(self, val):
-        self["alignmentgroup"] = val
-
-    # base
-    # ----
-    @property
-    def base(self):
-        """
-        Sets where the bar base is drawn (in position axis units). In
-        "stack" or "relative" barmode, traces that set "base" will be
-        excluded and drawn in "overlay" mode instead.
-    
-        The 'base' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["base"]
-
-    @base.setter
-    def base(self, val):
-        self["base"] = val
-
-    # basesrc
-    # -------
-    @property
-    def basesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  base .
-    
-        The 'basesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["basesrc"]
-
-    @basesrc.setter
-    def basesrc(self, val):
-        self["basesrc"] = val
-
-    # cliponaxis
-    # ----------
-    @property
-    def cliponaxis(self):
-        """
-        Determines whether the text nodes are clipped about the subplot
-        axes. To show the text nodes above axis lines and tick labels,
-        make sure to set `xaxis.layer` and `yaxis.layer` to *below
-        traces*.
-    
-        The 'cliponaxis' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cliponaxis"]
-
-    @cliponaxis.setter
-    def cliponaxis(self, val):
-        self["cliponaxis"] = val
-
-    # constraintext
-    # -------------
-    @property
-    def constraintext(self):
-        """
-        Constrain the size of text inside or outside a bar to be no
-        larger than the bar itself.
-    
-        The 'constraintext' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'both', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constraintext"]
-
-    @constraintext.setter
-    def constraintext(self, val):
-        self["constraintext"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # dx
-    # --
-    @property
-    def dx(self):
-        """
-        Sets the x coordinate step. See `x0` for more info.
-    
-        The 'dx' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dx"]
-
-    @dx.setter
-    def dx(self, val):
-        self["dx"] = val
-
-    # dy
-    # --
-    @property
-    def dy(self):
-        """
-        Sets the y coordinate step. See `y0` for more info.
-    
-        The 'dy' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dy"]
-
-    @dy.setter
-    def dy(self, val):
-        self["dy"] = val
-
-    # error_x
-    # -------
-    @property
-    def error_x(self):
-        """
-        The 'error_x' property is an instance of ErrorX
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.ErrorX`
-          - A dict of string/value properties that will be passed
-            to the ErrorX constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                copy_ystyle
-    
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.ErrorX
-        """
-        return self["error_x"]
-
-    @error_x.setter
-    def error_x(self, val):
-        self["error_x"] = val
-
-    # error_y
-    # -------
-    @property
-    def error_y(self):
-        """
-        The 'error_y' property is an instance of ErrorY
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.ErrorY`
-          - A dict of string/value properties that will be passed
-            to the ErrorY constructor
-    
-            Supported dict properties:
-                
-                array
-                    Sets the data corresponding the length of each
-                    error bar. Values are plotted relative to the
-                    underlying data.
-                arrayminus
-                    Sets the data corresponding the length of each
-                    error bar in the bottom (left) direction for
-                    vertical (horizontal) bars Values are plotted
-                    relative to the underlying data.
-                arrayminussrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  arrayminus .
-                arraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  array .
-                color
-                    Sets the stoke color of the error bars.
-                symmetric
-                    Determines whether or not the error bars have
-                    the same length in both direction (top/bottom
-                    for vertical bars, left/right for horizontal
-                    bars.
-                thickness
-                    Sets the thickness (in px) of the error bars.
-                traceref
-    
-                tracerefminus
-    
-                type
-                    Determines the rule used to generate the error
-                    bars. If *constant`, the bar lengths are of a
-                    constant value. Set this constant in `value`.
-                    If "percent", the bar lengths correspond to a
-                    percentage of underlying data. Set this
-                    percentage in `value`. If "sqrt", the bar
-                    lengths correspond to the sqaure of the
-                    underlying data. If "data", the bar lengths are
-                    set with data set `array`.
-                value
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars.
-                valueminus
-                    Sets the value of either the percentage (if
-                    `type` is set to "percent") or the constant (if
-                    `type` is set to "constant") corresponding to
-                    the lengths of the error bars in the bottom
-                    (left) direction for vertical (horizontal) bars
-                visible
-                    Determines whether or not this set of error
-                    bars is visible.
-                width
-                    Sets the width (in px) of the cross-bar at both
-                    ends of the error bars.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.ErrorY
-        """
-        return self["error_y"]
-
-    @error_y.setter
-    def error_y(self, val):
-        self["error_y"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `value` and `label`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets hover text elements associated with each (x,y) pair. If a
-        single string, the same string appears over all the data
-        points. If an array of string, the items are mapped in order to
-        the this trace's (x,y) coordinates. To be seen, trace
-        `hoverinfo` must contain a "text" flag.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # hovertextsrc
-    # ------------
-    @property
-    def hovertextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hovertext
-        .
-    
-        The 'hovertextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertextsrc"]
-
-    @hovertextsrc.setter
-    def hovertextsrc(self, val):
-        self["hovertextsrc"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # insidetextanchor
-    # ----------------
-    @property
-    def insidetextanchor(self):
-        """
-        Determines if texts are kept at center or start/end points in
-        `textposition` "inside" mode.
-    
-        The 'insidetextanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['end', 'middle', 'start']
-
-        Returns
-        -------
-        Any
-        """
-        return self["insidetextanchor"]
-
-    @insidetextanchor.setter
-    def insidetextanchor(self, val):
-        self["insidetextanchor"] = val
-
-    # insidetextfont
-    # --------------
-    @property
-    def insidetextfont(self):
-        """
-        Sets the font used for `text` lying inside the bar.
-    
-        The 'insidetextfont' property is an instance of Insidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Insidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Insidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Insidetextfont
-        """
-        return self["insidetextfont"]
-
-    @insidetextfont.setter
-    def insidetextfont(self, val):
-        self["insidetextfont"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.colorscale`. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.color`) or the bounds set in
-                    `marker.cmin` and `marker.cmax`  Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Defaults to `false` when `marker.cmin`
-                    and `marker.cmax` are set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.cmin` and/or `marker.cmax` to
-                    be equidistant to this point. Has an effect
-                    only if in `marker.color`is set to a numerical
-                    array. Value should have the same units as in
-                    `marker.color`. Has no effect when
-                    `marker.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.color`is set to a
-                    numerical array. Value should have the same
-                    units as in `marker.color` and if set,
-                    `marker.cmax` must be set as well.
-                color
-                    Sets themarkercolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.cmin` and `marker.cmax` if set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorbar
-                    :class:`plotly.graph_objects.bar.marker.ColorBa
-                    r` instance or dict with compatible properties
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.color`is set to a numerical array. The
-                    colorscale must be an array containing arrays
-                    mapping a normalized value to an rgb, rgba,
-                    hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.cmin` and
-                    `marker.cmax`. Alternatively, `colorscale` may
-                    be a palette name string of the following list:
-                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                    arth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                line
-                    :class:`plotly.graph_objects.bar.marker.Line`
-                    instance or dict with compatible properties
-                opacity
-                    Sets the opacity of the bars.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.color`is set to a
-                    numerical array. If true, `marker.cmin` will
-                    correspond to the last color in the array and
-                    `marker.cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace. Has an effect only if
-                    in `marker.color`is set to a numerical array.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        Shifts the position where the bar is drawn (in position axis
-        units). In "group" barmode, traces that set "offset" will be
-        excluded and drawn in "overlay" mode instead.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # offsetgroup
-    # -----------
-    @property
-    def offsetgroup(self):
-        """
-        Set several traces linked to the same position axis or matching
-        axes to the same offsetgroup where bars of the same position
-        coordinate will line up.
-    
-        The 'offsetgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetgroup"]
-
-    @offsetgroup.setter
-    def offsetgroup(self, val):
-        self["offsetgroup"] = val
-
-    # offsetsrc
-    # ---------
-    @property
-    def offsetsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  offset .
-    
-        The 'offsetsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["offsetsrc"]
-
-    @offsetsrc.setter
-    def offsetsrc(self, val):
-        self["offsetsrc"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the bars. With "v" ("h"), the value of
-        the each bar spans along the vertical (horizontal).
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # outsidetextfont
-    # ---------------
-    @property
-    def outsidetextfont(self):
-        """
-        Sets the font used for `text` lying outside the bar.
-    
-        The 'outsidetextfont' property is an instance of Outsidetextfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Outsidetextfont`
-          - A dict of string/value properties that will be passed
-            to the Outsidetextfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Outsidetextfont
-        """
-        return self["outsidetextfont"]
-
-    @outsidetextfont.setter
-    def outsidetextfont(self, val):
-        self["outsidetextfont"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        r coordinates in scatter traces are deprecated!Please switch to
-        the "scatterpolar" trace type.Sets the radial coordinatesfor
-        legacy polar chart only.
-    
-        The 'r' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # rsrc
-    # ----
-    @property
-    def rsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  r .
-    
-        The 'rsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["rsrc"]
-
-    @rsrc.setter
-    def rsrc(self, val):
-        self["rsrc"] = val
-
-    # selected
-    # --------
-    @property
-    def selected(self):
-        """
-        The 'selected' property is an instance of Selected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Selected`
-          - A dict of string/value properties that will be passed
-            to the Selected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.bar.selected.Marke
-                    r` instance or dict with compatible properties
-                textfont
-                    :class:`plotly.graph_objects.bar.selected.Textf
-                    ont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Selected
-        """
-        return self["selected"]
-
-    @selected.setter
-    def selected(self, val):
-        self["selected"] = val
-
-    # selectedpoints
-    # --------------
-    @property
-    def selectedpoints(self):
-        """
-        Array containing integer indices of selected points. Has an
-        effect only for traces that support selections. Note that an
-        empty array means an empty selection where the `unselected` are
-        turned on for all points, whereas, any other non-array values
-        means no selection all where the `selected` and `unselected`
-        styles have no effect.
-    
-        The 'selectedpoints' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectedpoints"]
-
-    @selectedpoints.setter
-    def selectedpoints(self, val):
-        self["selectedpoints"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        t coordinates in scatter traces are deprecated!Please switch to
-        the "scatterpolar" trace type.Sets the angular coordinatesfor
-        legacy polar chart only.
-    
-        The 't' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets text elements associated with each (x,y) pair. If a single
-        string, the same string appears over all the data points. If an
-        array of string, the items are mapped in order to the this
-        trace's (x,y) coordinates. If trace `hoverinfo` contains a
-        "text" flag and "hovertext" is not set, these elements will be
-        seen in the hover labels.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textangle
-    # ---------
-    @property
-    def textangle(self):
-        """
-        Sets the angle of the tick labels with respect to the bar. For
-        example, a `tickangle` of -90 draws the tick labels vertically.
-        With "auto" the texts may automatically be rotated to fit with
-        the maximum size in bars.
-    
-        The 'textangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["textangle"]
-
-    @textangle.setter
-    def textangle(self, val):
-        self["textangle"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used for `text`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Specifies the location of the `text`. "inside" positions `text`
-        inside, next to the bar end (rotated and scaled if needed).
-        "outside" positions `text` outside, next to the bar end (scaled
-        if needed), unless there is another bar stacked on this one,
-        then the text gets pushed inside. "auto" tries to position
-        `text` inside the bar, but if the bar is too small and no bar
-        is stacked on this one the text is moved outside.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['inside', 'outside', 'auto', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # textpositionsrc
-    # ---------------
-    @property
-    def textpositionsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        textposition .
-    
-        The 'textpositionsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textpositionsrc"]
-
-    @textpositionsrc.setter
-    def textpositionsrc(self, val):
-        self["textpositionsrc"] = val
-
-    # textsrc
-    # -------
-    @property
-    def textsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  text .
-    
-        The 'textsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["textsrc"]
-
-    @textsrc.setter
-    def textsrc(self, val):
-        self["textsrc"] = val
-
-    # texttemplate
-    # ------------
-    @property
-    def texttemplate(self):
-        """
-        Template string used for rendering the information text that
-        appear on points. Note that this will override `textinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. Every attributes that can be
-        specified per-point (the ones that are `arrayOk: true`) are
-        available. variables `value` and `label`.
-    
-        The 'texttemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["texttemplate"]
-
-    @texttemplate.setter
-    def texttemplate(self, val):
-        self["texttemplate"] = val
-
-    # texttemplatesrc
-    # ---------------
-    @property
-    def texttemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        texttemplate .
-    
-        The 'texttemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["texttemplatesrc"]
-
-    @texttemplatesrc.setter
-    def texttemplatesrc(self, val):
-        self["texttemplatesrc"] = val
-
-    # tsrc
-    # ----
-    @property
-    def tsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  t .
-    
-        The 'tsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tsrc"]
-
-    @tsrc.setter
-    def tsrc(self, val):
-        self["tsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # unselected
-    # ----------
-    @property
-    def unselected(self):
-        """
-        The 'unselected' property is an instance of Unselected
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.Unselected`
-          - A dict of string/value properties that will be passed
-            to the Unselected constructor
-    
-            Supported dict properties:
-                
-                marker
-                    :class:`plotly.graph_objects.bar.unselected.Mar
-                    ker` instance or dict with compatible
-                    properties
-                textfont
-                    :class:`plotly.graph_objects.bar.unselected.Tex
-                    tfont` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.bar.Unselected
-        """
-        return self["unselected"]
-
-    @unselected.setter
-    def unselected(self, val):
-        self["unselected"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the bar width (in position axis units).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x coordinates.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Alternate to `x`. Builds a linear space of x coordinates. Use
-        with `dx` where `x0` is the starting coordinate and `dx` the
-        step.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        Sets a reference between this trace's x coordinates and a 2D
-        cartesian x axis. If "x" (the default value), the x coordinates
-        refer to `layout.xaxis`. If "x2", the x coordinates refer to
-        `layout.xaxis2`, and so on.
-    
-        The 'xaxis' property is an identifier of a particular
-        subplot, of type 'x', that may be specified as the string 'x'
-        optionally followed by an integer >= 1
-        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # xcalendar
-    # ---------
-    @property
-    def xcalendar(self):
-        """
-        Sets the calendar system to use with `x` date data.
-    
-        The 'xcalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xcalendar"]
-
-    @xcalendar.setter
-    def xcalendar(self, val):
-        self["xcalendar"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y coordinates.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Alternate to `y`. Builds a linear space of y coordinates. Use
-        with `dy` where `y0` is the starting coordinate and `dy` the
-        step.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        Sets a reference between this trace's y coordinates and a 2D
-        cartesian y axis. If "y" (the default value), the y coordinates
-        refer to `layout.yaxis`. If "y2", the y coordinates refer to
-        `layout.yaxis2`, and so on.
-    
-        The 'yaxis' property is an identifier of a particular
-        subplot, of type 'y', that may be specified as the string 'y'
-        optionally followed by an integer >= 1
-        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # ycalendar
-    # ---------
-    @property
-    def ycalendar(self):
-        """
-        Sets the calendar system to use with `y` date data.
-    
-        The 'ycalendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ycalendar"]
-
-    @ycalendar.setter
-    def ycalendar(self, val):
-        self["ycalendar"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        base
-            Sets where the bar base is drawn (in position axis
-            units). In "stack" or "relative" barmode, traces that
-            set "base" will be excluded and drawn in "overlay" mode
-            instead.
-        basesrc
-            Sets the source reference on Chart Studio Cloud for
-            base .
-        cliponaxis
-            Determines whether the text nodes are clipped about the
-            subplot axes. To show the text nodes above axis lines
-            and tick labels, make sure to set `xaxis.layer` and
-            `yaxis.layer` to *below traces*.
-        constraintext
-            Constrain the size of text inside or outside a bar to
-            be no larger than the bar itself.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        error_x
-            :class:`plotly.graph_objects.bar.ErrorX` instance or
-            dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.bar.ErrorY` instance or
-            dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.bar.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `value` and `label`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextanchor
-            Determines if texts are kept at center or start/end
-            points in `textposition` "inside" mode.
-        insidetextfont
-            Sets the font used for `text` lying inside the bar.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.bar.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the position where the bar is drawn (in position
-            axis units). In "group" barmode, traces that set
-            "offset" will be excluded and drawn in "overlay" mode
-            instead.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        offsetsrc
-            Sets the source reference on Chart Studio Cloud for
-            offset .
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the bars. With "v" ("h"), the
-            value of the each bar spans along the vertical
-            (horizontal).
-        outsidetextfont
-            Sets the font used for `text` lying outside the bar.
-        r
-            r coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the radial
-            coordinatesfor legacy polar chart only.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.bar.Selected` instance or
-            dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.bar.Stream` instance or
-            dict with compatible properties
-        t
-            t coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the
-            angular coordinatesfor legacy polar chart only.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textangle
-            Sets the angle of the tick labels with respect to the
-            bar. For example, a `tickangle` of -90 draws the tick
-            labels vertically. With "auto" the texts may
-            automatically be rotated to fit with the maximum size
-            in bars.
-        textfont
-            Sets the font used for `text`.
-        textposition
-            Specifies the location of the `text`. "inside"
-            positions `text` inside, next to the bar end (rotated
-            and scaled if needed). "outside" positions `text`
-            outside, next to the bar end (scaled if needed), unless
-            there is another bar stacked on this one, then the text
-            gets pushed inside. "auto" tries to position `text`
-            inside the bar, but if the bar is too small and no bar
-            is stacked on this one the text is moved outside.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `value` and
-            `label`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        tsrc
-            Sets the source reference on Chart Studio Cloud for  t
-            .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.bar.Unselected` instance
-            or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar width (in position axis units).
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        alignmentgroup=None,
-        base=None,
-        basesrc=None,
-        cliponaxis=None,
-        constraintext=None,
-        customdata=None,
-        customdatasrc=None,
-        dx=None,
-        dy=None,
-        error_x=None,
-        error_y=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        hovertext=None,
-        hovertextsrc=None,
-        ids=None,
-        idssrc=None,
-        insidetextanchor=None,
-        insidetextfont=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        offset=None,
-        offsetgroup=None,
-        offsetsrc=None,
-        opacity=None,
-        orientation=None,
-        outsidetextfont=None,
-        r=None,
-        rsrc=None,
-        selected=None,
-        selectedpoints=None,
-        showlegend=None,
-        stream=None,
-        t=None,
-        text=None,
-        textangle=None,
-        textfont=None,
-        textposition=None,
-        textpositionsrc=None,
-        textsrc=None,
-        texttemplate=None,
-        texttemplatesrc=None,
-        tsrc=None,
-        uid=None,
-        uirevision=None,
-        unselected=None,
-        visible=None,
-        width=None,
-        widthsrc=None,
-        x=None,
-        x0=None,
-        xaxis=None,
-        xcalendar=None,
-        xsrc=None,
-        y=None,
-        y0=None,
-        yaxis=None,
-        ycalendar=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Bar object
-        
-        The data visualized by the span of the bars is set in `y` if
-        `orientation` is set th "v" (the default) and the labels are
-        set in `x`. By setting `orientation` to "h", the roles are
-        interchanged.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Bar`
-        alignmentgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same alignmentgroup. This controls
-            whether bars compute their positional range dependently
-            or independently.
-        base
-            Sets where the bar base is drawn (in position axis
-            units). In "stack" or "relative" barmode, traces that
-            set "base" will be excluded and drawn in "overlay" mode
-            instead.
-        basesrc
-            Sets the source reference on Chart Studio Cloud for
-            base .
-        cliponaxis
-            Determines whether the text nodes are clipped about the
-            subplot axes. To show the text nodes above axis lines
-            and tick labels, make sure to set `xaxis.layer` and
-            `yaxis.layer` to *below traces*.
-        constraintext
-            Constrain the size of text inside or outside a bar to
-            be no larger than the bar itself.
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        dx
-            Sets the x coordinate step. See `x0` for more info.
-        dy
-            Sets the y coordinate step. See `y0` for more info.
-        error_x
-            :class:`plotly.graph_objects.bar.ErrorX` instance or
-            dict with compatible properties
-        error_y
-            :class:`plotly.graph_objects.bar.ErrorY` instance or
-            dict with compatible properties
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.bar.Hoverlabel` instance
-            or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `value` and `label`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        hovertext
-            Sets hover text elements associated with each (x,y)
-            pair. If a single string, the same string appears over
-            all the data points. If an array of string, the items
-            are mapped in order to the this trace's (x,y)
-            coordinates. To be seen, trace `hoverinfo` must contain
-            a "text" flag.
-        hovertextsrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertext .
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        insidetextanchor
-            Determines if texts are kept at center or start/end
-            points in `textposition` "inside" mode.
-        insidetextfont
-            Sets the font used for `text` lying inside the bar.
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.bar.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        offset
-            Shifts the position where the bar is drawn (in position
-            axis units). In "group" barmode, traces that set
-            "offset" will be excluded and drawn in "overlay" mode
-            instead.
-        offsetgroup
-            Set several traces linked to the same position axis or
-            matching axes to the same offsetgroup where bars of the
-            same position coordinate will line up.
-        offsetsrc
-            Sets the source reference on Chart Studio Cloud for
-            offset .
-        opacity
-            Sets the opacity of the trace.
-        orientation
-            Sets the orientation of the bars. With "v" ("h"), the
-            value of the each bar spans along the vertical
-            (horizontal).
-        outsidetextfont
-            Sets the font used for `text` lying outside the bar.
-        r
-            r coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the radial
-            coordinatesfor legacy polar chart only.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        selected
-            :class:`plotly.graph_objects.bar.Selected` instance or
-            dict with compatible properties
-        selectedpoints
-            Array containing integer indices of selected points.
-            Has an effect only for traces that support selections.
-            Note that an empty array means an empty selection where
-            the `unselected` are turned on for all points, whereas,
-            any other non-array values means no selection all where
-            the `selected` and `unselected` styles have no effect.
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.bar.Stream` instance or
-            dict with compatible properties
-        t
-            t coordinates in scatter traces are deprecated!Please
-            switch to the "scatterpolar" trace type.Sets the
-            angular coordinatesfor legacy polar chart only.
-        text
-            Sets text elements associated with each (x,y) pair. If
-            a single string, the same string appears over all the
-            data points. If an array of string, the items are
-            mapped in order to the this trace's (x,y) coordinates.
-            If trace `hoverinfo` contains a "text" flag and
-            "hovertext" is not set, these elements will be seen in
-            the hover labels.
-        textangle
-            Sets the angle of the tick labels with respect to the
-            bar. For example, a `tickangle` of -90 draws the tick
-            labels vertically. With "auto" the texts may
-            automatically be rotated to fit with the maximum size
-            in bars.
-        textfont
-            Sets the font used for `text`.
-        textposition
-            Specifies the location of the `text`. "inside"
-            positions `text` inside, next to the bar end (rotated
-            and scaled if needed). "outside" positions `text`
-            outside, next to the bar end (scaled if needed), unless
-            there is another bar stacked on this one, then the text
-            gets pushed inside. "auto" tries to position `text`
-            inside the bar, but if the bar is too small and no bar
-            is stacked on this one the text is moved outside.
-        textpositionsrc
-            Sets the source reference on Chart Studio Cloud for
-            textposition .
-        textsrc
-            Sets the source reference on Chart Studio Cloud for
-            text .
-        texttemplate
-            Template string used for rendering the information text
-            that appear on points. Note that this will override
-            `textinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. Every attributes
-            that can be specified per-point (the ones that are
-            `arrayOk: true`) are available. variables `value` and
-            `label`.
-        texttemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            texttemplate .
-        tsrc
-            Sets the source reference on Chart Studio Cloud for  t
-            .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        unselected
-            :class:`plotly.graph_objects.bar.Unselected` instance
-            or dict with compatible properties
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        width
-            Sets the bar width (in position axis units).
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        x
-            Sets the x coordinates.
-        x0
-            Alternate to `x`. Builds a linear space of x
-            coordinates. Use with `dx` where `x0` is the starting
-            coordinate and `dx` the step.
-        xaxis
-            Sets a reference between this trace's x coordinates and
-            a 2D cartesian x axis. If "x" (the default value), the
-            x coordinates refer to `layout.xaxis`. If "x2", the x
-            coordinates refer to `layout.xaxis2`, and so on.
-        xcalendar
-            Sets the calendar system to use with `x` date data.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y coordinates.
-        y0
-            Alternate to `y`. Builds a linear space of y
-            coordinates. Use with `dy` where `y0` is the starting
-            coordinate and `dy` the step.
-        yaxis
-            Sets a reference between this trace's y coordinates and
-            a 2D cartesian y axis. If "y" (the default value), the
-            y coordinates refer to `layout.yaxis`. If "y2", the y
-            coordinates refer to `layout.yaxis2`, and so on.
-        ycalendar
-            Sets the calendar system to use with `y` date data.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Bar
-        """
-        super(Bar, self).__init__("bar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Bar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Bar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import bar as v_bar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["alignmentgroup"] = v_bar.AlignmentgroupValidator()
-        self._validators["base"] = v_bar.BaseValidator()
-        self._validators["basesrc"] = v_bar.BasesrcValidator()
-        self._validators["cliponaxis"] = v_bar.CliponaxisValidator()
-        self._validators["constraintext"] = v_bar.ConstraintextValidator()
-        self._validators["customdata"] = v_bar.CustomdataValidator()
-        self._validators["customdatasrc"] = v_bar.CustomdatasrcValidator()
-        self._validators["dx"] = v_bar.DxValidator()
-        self._validators["dy"] = v_bar.DyValidator()
-        self._validators["error_x"] = v_bar.ErrorXValidator()
-        self._validators["error_y"] = v_bar.ErrorYValidator()
-        self._validators["hoverinfo"] = v_bar.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_bar.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_bar.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_bar.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_bar.HovertemplatesrcValidator()
-        self._validators["hovertext"] = v_bar.HovertextValidator()
-        self._validators["hovertextsrc"] = v_bar.HovertextsrcValidator()
-        self._validators["ids"] = v_bar.IdsValidator()
-        self._validators["idssrc"] = v_bar.IdssrcValidator()
-        self._validators["insidetextanchor"] = v_bar.InsidetextanchorValidator()
-        self._validators["insidetextfont"] = v_bar.InsidetextfontValidator()
-        self._validators["legendgroup"] = v_bar.LegendgroupValidator()
-        self._validators["marker"] = v_bar.MarkerValidator()
-        self._validators["meta"] = v_bar.MetaValidator()
-        self._validators["metasrc"] = v_bar.MetasrcValidator()
-        self._validators["name"] = v_bar.NameValidator()
-        self._validators["offset"] = v_bar.OffsetValidator()
-        self._validators["offsetgroup"] = v_bar.OffsetgroupValidator()
-        self._validators["offsetsrc"] = v_bar.OffsetsrcValidator()
-        self._validators["opacity"] = v_bar.OpacityValidator()
-        self._validators["orientation"] = v_bar.OrientationValidator()
-        self._validators["outsidetextfont"] = v_bar.OutsidetextfontValidator()
-        self._validators["r"] = v_bar.RValidator()
-        self._validators["rsrc"] = v_bar.RsrcValidator()
-        self._validators["selected"] = v_bar.SelectedValidator()
-        self._validators["selectedpoints"] = v_bar.SelectedpointsValidator()
-        self._validators["showlegend"] = v_bar.ShowlegendValidator()
-        self._validators["stream"] = v_bar.StreamValidator()
-        self._validators["t"] = v_bar.TValidator()
-        self._validators["text"] = v_bar.TextValidator()
-        self._validators["textangle"] = v_bar.TextangleValidator()
-        self._validators["textfont"] = v_bar.TextfontValidator()
-        self._validators["textposition"] = v_bar.TextpositionValidator()
-        self._validators["textpositionsrc"] = v_bar.TextpositionsrcValidator()
-        self._validators["textsrc"] = v_bar.TextsrcValidator()
-        self._validators["texttemplate"] = v_bar.TexttemplateValidator()
-        self._validators["texttemplatesrc"] = v_bar.TexttemplatesrcValidator()
-        self._validators["tsrc"] = v_bar.TsrcValidator()
-        self._validators["uid"] = v_bar.UidValidator()
-        self._validators["uirevision"] = v_bar.UirevisionValidator()
-        self._validators["unselected"] = v_bar.UnselectedValidator()
-        self._validators["visible"] = v_bar.VisibleValidator()
-        self._validators["width"] = v_bar.WidthValidator()
-        self._validators["widthsrc"] = v_bar.WidthsrcValidator()
-        self._validators["x"] = v_bar.XValidator()
-        self._validators["x0"] = v_bar.X0Validator()
-        self._validators["xaxis"] = v_bar.XAxisValidator()
-        self._validators["xcalendar"] = v_bar.XcalendarValidator()
-        self._validators["xsrc"] = v_bar.XsrcValidator()
-        self._validators["y"] = v_bar.YValidator()
-        self._validators["y0"] = v_bar.Y0Validator()
-        self._validators["yaxis"] = v_bar.YAxisValidator()
-        self._validators["ycalendar"] = v_bar.YcalendarValidator()
-        self._validators["ysrc"] = v_bar.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("alignmentgroup", None)
-        self["alignmentgroup"] = alignmentgroup if alignmentgroup is not None else _v
-        _v = arg.pop("base", None)
-        self["base"] = base if base is not None else _v
-        _v = arg.pop("basesrc", None)
-        self["basesrc"] = basesrc if basesrc is not None else _v
-        _v = arg.pop("cliponaxis", None)
-        self["cliponaxis"] = cliponaxis if cliponaxis is not None else _v
-        _v = arg.pop("constraintext", None)
-        self["constraintext"] = constraintext if constraintext is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("dx", None)
-        self["dx"] = dx if dx is not None else _v
-        _v = arg.pop("dy", None)
-        self["dy"] = dy if dy is not None else _v
-        _v = arg.pop("error_x", None)
-        self["error_x"] = error_x if error_x is not None else _v
-        _v = arg.pop("error_y", None)
-        self["error_y"] = error_y if error_y is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("hovertextsrc", None)
-        self["hovertextsrc"] = hovertextsrc if hovertextsrc is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("insidetextanchor", None)
-        self["insidetextanchor"] = (
-            insidetextanchor if insidetextanchor is not None else _v
-        )
-        _v = arg.pop("insidetextfont", None)
-        self["insidetextfont"] = insidetextfont if insidetextfont is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("offsetgroup", None)
-        self["offsetgroup"] = offsetgroup if offsetgroup is not None else _v
-        _v = arg.pop("offsetsrc", None)
-        self["offsetsrc"] = offsetsrc if offsetsrc is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("outsidetextfont", None)
-        self["outsidetextfont"] = outsidetextfont if outsidetextfont is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("rsrc", None)
-        self["rsrc"] = rsrc if rsrc is not None else _v
-        _v = arg.pop("selected", None)
-        self["selected"] = selected if selected is not None else _v
-        _v = arg.pop("selectedpoints", None)
-        self["selectedpoints"] = selectedpoints if selectedpoints is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textangle", None)
-        self["textangle"] = textangle if textangle is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-        _v = arg.pop("textpositionsrc", None)
-        self["textpositionsrc"] = textpositionsrc if textpositionsrc is not None else _v
-        _v = arg.pop("textsrc", None)
-        self["textsrc"] = textsrc if textsrc is not None else _v
-        _v = arg.pop("texttemplate", None)
-        self["texttemplate"] = texttemplate if texttemplate is not None else _v
-        _v = arg.pop("texttemplatesrc", None)
-        self["texttemplatesrc"] = texttemplatesrc if texttemplatesrc is not None else _v
-        _v = arg.pop("tsrc", None)
-        self["tsrc"] = tsrc if tsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("unselected", None)
-        self["unselected"] = unselected if unselected is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("xcalendar", None)
-        self["xcalendar"] = xcalendar if xcalendar is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("ycalendar", None)
-        self["ycalendar"] = ycalendar if ycalendar is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "bar"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="bar", val="bar"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceType as _BaseTraceType
-import copy as _copy
-
-
-class Area(_BaseTraceType):
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data each datum. This may be useful when
-        listening to hover, click and selection events. Note that,
-        "scatter" traces also appends customdata items in the markers
-        DOM elements
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear on hover. If `none`
-        or `skip` are set, no information is displayed upon hovering.
-        But, if `none` is set, click and hover events are still fired.
-    
-        The 'hoverinfo' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
-            (e.g. 'x+y')
-            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
-          - A list or array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverinfosrc
-    # ------------
-    @property
-    def hoverinfosrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  hoverinfo
-        .
-    
-        The 'hoverinfosrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverinfosrc"]
-
-    @hoverinfosrc.setter
-    def hoverinfosrc(self, val):
-        self["hoverinfosrc"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.area.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.area.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # ids
-    # ---
-    @property
-    def ids(self):
-        """
-        Assigns id labels to each datum. These ids for object constancy
-        of data points during animation. Should be an array of strings,
-        not numbers or any other type.
-    
-        The 'ids' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ids"]
-
-    @ids.setter
-    def ids(self, val):
-        self["ids"] = val
-
-    # idssrc
-    # ------
-    @property
-    def idssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ids .
-    
-        The 'idssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["idssrc"]
-
-    @idssrc.setter
-    def idssrc(self, val):
-        self["idssrc"] = val
-
-    # legendgroup
-    # -----------
-    @property
-    def legendgroup(self):
-        """
-        Sets the legend group for this trace. Traces part of the same
-        legend group hide/show at the same time when toggling legend
-        items.
-    
-        The 'legendgroup' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["legendgroup"]
-
-    @legendgroup.setter
-    def legendgroup(self, val):
-        self["legendgroup"] = val
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.area.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Area traces are deprecated! Please switch to
-                    the "barpolar" trace type. Sets themarkercolor.
-                    It accepts either a specific color or an array
-                    of numbers that are mapped to the colorscale
-                    relative to the max and min values of the array
-                    or relative to `marker.cmin` and `marker.cmax`
-                    if set.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                opacity
-                    Area traces are deprecated! Please switch to
-                    the "barpolar" trace type. Sets the marker
-                    opacity.
-                opacitysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  opacity .
-                size
-                    Area traces are deprecated! Please switch to
-                    the "barpolar" trace type. Sets the marker size
-                    (in px).
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-                symbol
-                    Area traces are deprecated! Please switch to
-                    the "barpolar" trace type. Sets the marker
-                    symbol type. Adding 100 is equivalent to
-                    appending "-open" to a symbol name. Adding 200
-                    is equivalent to appending "-dot" to a symbol
-                    name. Adding 300 is equivalent to appending
-                    "-open-dot" or "dot-open" to a symbol name.
-                symbolsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  symbol .
-
-        Returns
-        -------
-        plotly.graph_objs.area.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information associated with this trace that
-        can be used in various text attributes. Attributes such as
-        trace `name`, graph, axis and colorbar `title.text`, annotation
-        `text` `rangeselector`, `updatemenues` and `sliders` `label`
-        text all support `meta`. To access the trace `meta` values in
-        an attribute in the same trace, simply use `%{meta[i]}` where
-        `i` is the index or key of the `meta` item in question. To
-        access trace `meta` in layout attributes, use
-        `%{data[n[.meta[i]}` where `i` is the index or key of the
-        `meta` and `n` is the trace index.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        Sets the trace name. The trace name appear as the legend item
-        and on hover.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the trace.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        Area traces are deprecated! Please switch to the "barpolar"
-        trace type. Sets the radial coordinates for legacy polar chart
-        only.
-    
-        The 'r' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # rsrc
-    # ----
-    @property
-    def rsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  r .
-    
-        The 'rsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["rsrc"]
-
-    @rsrc.setter
-    def rsrc(self, val):
-        self["rsrc"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not an item corresponding to this trace
-        is shown in the legend.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # stream
-    # ------
-    @property
-    def stream(self):
-        """
-        The 'stream' property is an instance of Stream
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.area.Stream`
-          - A dict of string/value properties that will be passed
-            to the Stream constructor
-    
-            Supported dict properties:
-                
-                maxpoints
-                    Sets the maximum number of points to keep on
-                    the plots from an incoming stream. If
-                    `maxpoints` is set to 50, only the newest 50
-                    points will be displayed on the plot.
-                token
-                    The stream id number links a data trace on a
-                    plot with a stream. See https://chart-
-                    studio.plotly.com/settings for more details.
-
-        Returns
-        -------
-        plotly.graph_objs.area.Stream
-        """
-        return self["stream"]
-
-    @stream.setter
-    def stream(self, val):
-        self["stream"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        Area traces are deprecated! Please switch to the "barpolar"
-        trace type. Sets the angular coordinates for legacy polar chart
-        only.
-    
-        The 't' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # tsrc
-    # ----
-    @property
-    def tsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  t .
-    
-        The 'tsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tsrc"]
-
-    @tsrc.setter
-    def tsrc(self, val):
-        self["tsrc"] = val
-
-    # uid
-    # ---
-    @property
-    def uid(self):
-        """
-        Assign an id to this trace, Use this to provide object
-        constancy between traces during animations and transitions.
-    
-        The 'uid' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["uid"]
-
-    @uid.setter
-    def uid(self, val):
-        self["uid"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of some user-driven changes to the trace:
-        `constraintrange` in `parcoords` traces, as well as some
-        `editable: true` modifications such as `name` and
-        `colorbar.title`. Defaults to `layout.uirevision`. Note that
-        other user-driven trace attribute changes are controlled by
-        `layout` attributes: `trace.visible` is controlled by
-        `layout.legend.uirevision`, `selectedpoints` is controlled by
-        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
-        with `config: {editable: true}`) is controlled by
-        `layout.editrevision`. Trace changes are tracked by `uid`,
-        which only falls back on trace index if no `uid` is provided.
-        So if your app can add/remove traces before the end of the
-        `data` array, such that the same trace has a different index,
-        you can still preserve user-driven changes if you give each
-        trace a `uid` that stays with it as it moves.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this trace is visible. If
-        "legendonly", the trace is not drawn, but can appear as a
-        legend item (provided that the legend itself is visible).
-    
-        The 'visible' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'legendonly']
-
-        Returns
-        -------
-        Any
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        return self._props["type"]
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.area.Hoverlabel` instance
-            or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.area.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        r
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the radial coordinates for
-            legacy polar chart only.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.area.Stream` instance or
-            dict with compatible properties
-        t
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the angular coordinates for
-            legacy polar chart only.
-        tsrc
-            Sets the source reference on Chart Studio Cloud for  t
-            .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        customdata=None,
-        customdatasrc=None,
-        hoverinfo=None,
-        hoverinfosrc=None,
-        hoverlabel=None,
-        ids=None,
-        idssrc=None,
-        legendgroup=None,
-        marker=None,
-        meta=None,
-        metasrc=None,
-        name=None,
-        opacity=None,
-        r=None,
-        rsrc=None,
-        showlegend=None,
-        stream=None,
-        t=None,
-        tsrc=None,
-        uid=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Area object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Area`
-        customdata
-            Assigns extra data each datum. This may be useful when
-            listening to hover, click and selection events. Note
-            that, "scatter" traces also appends customdata items in
-            the markers DOM elements
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear on hover. If
-            `none` or `skip` are set, no information is displayed
-            upon hovering. But, if `none` is set, click and hover
-            events are still fired.
-        hoverinfosrc
-            Sets the source reference on Chart Studio Cloud for
-            hoverinfo .
-        hoverlabel
-            :class:`plotly.graph_objects.area.Hoverlabel` instance
-            or dict with compatible properties
-        ids
-            Assigns id labels to each datum. These ids for object
-            constancy of data points during animation. Should be an
-            array of strings, not numbers or any other type.
-        idssrc
-            Sets the source reference on Chart Studio Cloud for
-            ids .
-        legendgroup
-            Sets the legend group for this trace. Traces part of
-            the same legend group hide/show at the same time when
-            toggling legend items.
-        marker
-            :class:`plotly.graph_objects.area.Marker` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information associated with this
-            trace that can be used in various text attributes.
-            Attributes such as trace `name`, graph, axis and
-            colorbar `title.text`, annotation `text`
-            `rangeselector`, `updatemenues` and `sliders` `label`
-            text all support `meta`. To access the trace `meta`
-            values in an attribute in the same trace, simply use
-            `%{meta[i]}` where `i` is the index or key of the
-            `meta` item in question. To access trace `meta` in
-            layout attributes, use `%{data[n[.meta[i]}` where `i`
-            is the index or key of the `meta` and `n` is the trace
-            index.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        name
-            Sets the trace name. The trace name appear as the
-            legend item and on hover.
-        opacity
-            Sets the opacity of the trace.
-        r
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the radial coordinates for
-            legacy polar chart only.
-        rsrc
-            Sets the source reference on Chart Studio Cloud for  r
-            .
-        showlegend
-            Determines whether or not an item corresponding to this
-            trace is shown in the legend.
-        stream
-            :class:`plotly.graph_objects.area.Stream` instance or
-            dict with compatible properties
-        t
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the angular coordinates for
-            legacy polar chart only.
-        tsrc
-            Sets the source reference on Chart Studio Cloud for  t
-            .
-        uid
-            Assign an id to this trace, Use this to provide object
-            constancy between traces during animations and
-            transitions.
-        uirevision
-            Controls persistence of some user-driven changes to the
-            trace: `constraintrange` in `parcoords` traces, as well
-            as some `editable: true` modifications such as `name`
-            and `colorbar.title`. Defaults to `layout.uirevision`.
-            Note that other user-driven trace attribute changes are
-            controlled by `layout` attributes: `trace.visible` is
-            controlled by `layout.legend.uirevision`,
-            `selectedpoints` is controlled by
-            `layout.selectionrevision`, and `colorbar.(x|y)`
-            (accessible with `config: {editable: true}`) is
-            controlled by `layout.editrevision`. Trace changes are
-            tracked by `uid`, which only falls back on trace index
-            if no `uid` is provided. So if your app can add/remove
-            traces before the end of the `data` array, such that
-            the same trace has a different index, you can still
-            preserve user-driven changes if you give each trace a
-            `uid` that stays with it as it moves.
-        visible
-            Determines whether or not this trace is visible. If
-            "legendonly", the trace is not drawn, but can appear as
-            a legend item (provided that the legend itself is
-            visible).
-
-        Returns
-        -------
-        Area
-        """
-        super(Area, self).__init__("area")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Area 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Area`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import area as v_area
-
-        # Initialize validators
-        # ---------------------
-        self._validators["customdata"] = v_area.CustomdataValidator()
-        self._validators["customdatasrc"] = v_area.CustomdatasrcValidator()
-        self._validators["hoverinfo"] = v_area.HoverinfoValidator()
-        self._validators["hoverinfosrc"] = v_area.HoverinfosrcValidator()
-        self._validators["hoverlabel"] = v_area.HoverlabelValidator()
-        self._validators["ids"] = v_area.IdsValidator()
-        self._validators["idssrc"] = v_area.IdssrcValidator()
-        self._validators["legendgroup"] = v_area.LegendgroupValidator()
-        self._validators["marker"] = v_area.MarkerValidator()
-        self._validators["meta"] = v_area.MetaValidator()
-        self._validators["metasrc"] = v_area.MetasrcValidator()
-        self._validators["name"] = v_area.NameValidator()
-        self._validators["opacity"] = v_area.OpacityValidator()
-        self._validators["r"] = v_area.RValidator()
-        self._validators["rsrc"] = v_area.RsrcValidator()
-        self._validators["showlegend"] = v_area.ShowlegendValidator()
-        self._validators["stream"] = v_area.StreamValidator()
-        self._validators["t"] = v_area.TValidator()
-        self._validators["tsrc"] = v_area.TsrcValidator()
-        self._validators["uid"] = v_area.UidValidator()
-        self._validators["uirevision"] = v_area.UirevisionValidator()
-        self._validators["visible"] = v_area.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverinfosrc", None)
-        self["hoverinfosrc"] = hoverinfosrc if hoverinfosrc is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("ids", None)
-        self["ids"] = ids if ids is not None else _v
-        _v = arg.pop("idssrc", None)
-        self["idssrc"] = idssrc if idssrc is not None else _v
-        _v = arg.pop("legendgroup", None)
-        self["legendgroup"] = legendgroup if legendgroup is not None else _v
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("rsrc", None)
-        self["rsrc"] = rsrc if rsrc is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("stream", None)
-        self["stream"] = stream if stream is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-        _v = arg.pop("tsrc", None)
-        self["tsrc"] = tsrc if tsrc is not None else _v
-        _v = arg.pop("uid", None)
-        self["uid"] = uid if uid is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Read-only literals
-        # ------------------
-        from _plotly_utils.basevalidators import LiteralValidator
-
-        self._props["type"] = "area"
-        self._validators["type"] = LiteralValidator(
-            plotly_name="type", parent_name="area", val="area"
-        )
-        arg.pop("type", None)
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutType as _BaseLayoutType
-import copy as _copy
-
-
-class Layout(_BaseLayoutType):
-
-    _subplotid_prop_names = [
-        "coloraxis",
-        "geo",
-        "mapbox",
-        "polar",
-        "scene",
-        "ternary",
-        "xaxis",
-        "yaxis",
-    ]
-
-    import re
-
-    _subplotid_prop_re = re.compile("^(" + "|".join(_subplotid_prop_names) + ")(\d+)$")
-
-    @property
-    def _subplotid_validators(self):
-        """
-        dict of validator classes for each subplot type
-
-        Returns
-        -------
-        dict
-        """
-        from plotly.validators.layout import (
-            ColoraxisValidator,
-            GeoValidator,
-            MapboxValidator,
-            PolarValidator,
-            SceneValidator,
-            TernaryValidator,
-            XAxisValidator,
-            YAxisValidator,
-        )
-
-        return {
-            "coloraxis": ColoraxisValidator,
-            "geo": GeoValidator,
-            "mapbox": MapboxValidator,
-            "polar": PolarValidator,
-            "scene": SceneValidator,
-            "ternary": TernaryValidator,
-            "xaxis": XAxisValidator,
-            "yaxis": YAxisValidator,
-        }
-
-    def _subplot_re_match(self, prop):
-        return self._subplotid_prop_re.match(prop)
-
-    # angularaxis
-    # -----------
-    @property
-    def angularaxis(self):
-        """
-        The 'angularaxis' property is an instance of AngularAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.AngularAxis`
-          - A dict of string/value properties that will be passed
-            to the AngularAxis constructor
-    
-            Supported dict properties:
-                
-                domain
-                    Polar chart subplots are not supported yet.
-                    This key has currently no effect.
-                endpadding
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots.
-                range
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Defines the start
-                    and end point of this angular axis.
-                showline
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Determines whether
-                    or not the line bounding this angular axis will
-                    be shown on the figure.
-                showticklabels
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Determines whether
-                    or not the angular axis ticks will feature tick
-                    labels.
-                tickcolor
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the color of
-                    the tick lines on this angular axis.
-                ticklen
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the length of
-                    the tick lines on this angular axis.
-                tickorientation
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the
-                    orientation (from the paper perspective) of the
-                    angular axis tick labels.
-                ticksuffix
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the length of
-                    the tick lines on this angular axis.
-                visible
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Determines whether
-                    or not this axis will be visible.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.AngularAxis
-        """
-        return self["angularaxis"]
-
-    @angularaxis.setter
-    def angularaxis(self, val):
-        self["angularaxis"] = val
-
-    # annotations
-    # -----------
-    @property
-    def annotations(self):
-        """
-        The 'annotations' property is a tuple of instances of
-        Annotation that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.Annotation
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Annotation constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the `text`
-                    within the box. Has an effect only if `text`
-                    spans two or more lines (i.e. `text` contains
-                    one or more <br> HTML tags) or if an explicit
-                    width is set to override the text width.
-                arrowcolor
-                    Sets the color of the annotation arrow.
-                arrowhead
-                    Sets the end annotation arrow head style.
-                arrowside
-                    Sets the annotation arrow head position.
-                arrowsize
-                    Sets the size of the end annotation arrow head,
-                    relative to `arrowwidth`. A value of 1
-                    (default) gives a head about 3x as wide as the
-                    line.
-                arrowwidth
-                    Sets the width (in px) of annotation arrow
-                    line.
-                ax
-                    Sets the x component of the arrow tail about
-                    the arrow head. If `axref` is `pixel`, a
-                    positive (negative)  component corresponds to
-                    an arrow pointing from right to left (left to
-                    right). If `axref` is an axis, this is an
-                    absolute value on that axis, like `x`, NOT a
-                    relative value.
-                axref
-                    Indicates in what terms the tail of the
-                    annotation (ax,ay)  is specified. If `pixel`,
-                    `ax` is a relative offset in pixels  from `x`.
-                    If set to an x axis id (e.g. "x" or "x2"), `ax`
-                    is  specified in the same terms as that axis.
-                    This is useful  for trendline annotations which
-                    should continue to indicate  the correct trend
-                    when zoomed.
-                ay
-                    Sets the y component of the arrow tail about
-                    the arrow head. If `ayref` is `pixel`, a
-                    positive (negative)  component corresponds to
-                    an arrow pointing from bottom to top (top to
-                    bottom). If `ayref` is an axis, this is an
-                    absolute value on that axis, like `y`, NOT a
-                    relative value.
-                ayref
-                    Indicates in what terms the tail of the
-                    annotation (ax,ay)  is specified. If `pixel`,
-                    `ay` is a relative offset in pixels  from `y`.
-                    If set to a y axis id (e.g. "y" or "y2"), `ay`
-                    is  specified in the same terms as that axis.
-                    This is useful  for trendline annotations which
-                    should continue to indicate  the correct trend
-                    when zoomed.
-                bgcolor
-                    Sets the background color of the annotation.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    annotation `text`.
-                borderpad
-                    Sets the padding (in px) between the `text` and
-                    the enclosing border.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the annotation `text`.
-                captureevents
-                    Determines whether the annotation text box
-                    captures mouse move and click events, or allows
-                    those events to pass through to data points in
-                    the plot that may be behind the annotation. By
-                    default `captureevents` is False unless
-                    `hovertext` is provided. If you use the event
-                    `plotly_clickannotation` without `hovertext`
-                    you must explicitly enable `captureevents`.
-                clicktoshow
-                    Makes this annotation respond to clicks on the
-                    plot. If you click a data point that exactly
-                    matches the `x` and `y` values of this
-                    annotation, and it is hidden (visible: false),
-                    it will appear. In "onoff" mode, you must click
-                    the same point again to make it disappear, so
-                    if you click multiple points, you can show
-                    multiple annotations. In "onout" mode, a click
-                    anywhere else in the plot (on another data
-                    point or not) will hide this annotation. If you
-                    need to show/hide this annotation in response
-                    to different `x` or `y` values, you can set
-                    `xclick` and/or `yclick`. This is useful for
-                    example to label the side of a bar. To label
-                    markers though, `standoff` is preferred over
-                    `xclick` and `yclick`.
-                font
-                    Sets the annotation text font.
-                height
-                    Sets an explicit height for the text box. null
-                    (default) lets the text set the box height.
-                    Taller text will be clipped.
-                hoverlabel
-                    :class:`plotly.graph_objects.layout.annotation.
-                    Hoverlabel` instance or dict with compatible
-                    properties
-                hovertext
-                    Sets text to appear when hovering over this
-                    annotation. If omitted or blank, no hover label
-                    will appear.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                opacity
-                    Sets the opacity of the annotation (text +
-                    arrow).
-                showarrow
-                    Determines whether or not the annotation is
-                    drawn with an arrow. If True, `text` is placed
-                    near the arrow's tail. If False, `text` lines
-                    up with the `x` and `y` provided.
-                standoff
-                    Sets a distance, in pixels, to move the end
-                    arrowhead away from the position it is pointing
-                    at, for example to point at the edge of a
-                    marker independent of zoom. Note that this
-                    shortens the arrow from the `ax` / `ay` vector,
-                    in contrast to `xshift` / `yshift` which moves
-                    everything by this amount.
-                startarrowhead
-                    Sets the start annotation arrow head style.
-                startarrowsize
-                    Sets the size of the start annotation arrow
-                    head, relative to `arrowwidth`. A value of 1
-                    (default) gives a head about 3x as wide as the
-                    line.
-                startstandoff
-                    Sets a distance, in pixels, to move the start
-                    arrowhead away from the position it is pointing
-                    at, for example to point at the edge of a
-                    marker independent of zoom. Note that this
-                    shortens the arrow from the `ax` / `ay` vector,
-                    in contrast to `xshift` / `yshift` which moves
-                    everything by this amount.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                text
-                    Sets the text associated with this annotation.
-                    Plotly uses a subset of HTML tags to do things
-                    like newline (<br>), bold (<b></b>), italics
-                    (<i></i>), hyperlinks (<a href='...'></a>).
-                    Tags <em>, <sup>, <sub> <span> are also
-                    supported.
-                textangle
-                    Sets the angle at which the `text` is drawn
-                    with respect to the horizontal.
-                valign
-                    Sets the vertical alignment of the `text`
-                    within the box. Has an effect only if an
-                    explicit height is set to override the text
-                    height.
-                visible
-                    Determines whether or not this annotation is
-                    visible.
-                width
-                    Sets an explicit width for the text box. null
-                    (default) lets the text set the box width.
-                    Wider text will be clipped. There is no
-                    automatic wrapping; use <br> to start a new
-                    line.
-                x
-                    Sets the annotation's x position. If the axis
-                    `type` is "log", then you must take the log of
-                    your desired range. If the axis `type` is
-                    "date", it should be date strings, like date
-                    data, though Date objects and unix milliseconds
-                    will be accepted and converted to strings. If
-                    the axis `type` is "category", it should be
-                    numbers, using the scale where each category is
-                    assigned a serial number from zero in the order
-                    it appears.
-                xanchor
-                    Sets the text box's horizontal position anchor
-                    This anchor binds the `x` position to the
-                    "left", "center" or "right" of the annotation.
-                    For example, if `x` is set to 1, `xref` to
-                    "paper" and `xanchor` to "right" then the
-                    right-most portion of the annotation lines up
-                    with the right-most edge of the plotting area.
-                    If "auto", the anchor is equivalent to "center"
-                    for data-referenced annotations or if there is
-                    an arrow, whereas for paper-referenced with no
-                    arrow, the anchor picked corresponds to the
-                    closest side.
-                xclick
-                    Toggle this annotation when clicking a data
-                    point whose `x` value is `xclick` rather than
-                    the annotation's `x` value.
-                xref
-                    Sets the annotation's x coordinate axis. If set
-                    to an x axis id (e.g. "x" or "x2"), the `x`
-                    position refers to an x coordinate If set to
-                    "paper", the `x` position refers to the
-                    distance from the left side of the plotting
-                    area in normalized coordinates where 0 (1)
-                    corresponds to the left (right) side.
-                xshift
-                    Shifts the position of the whole annotation and
-                    arrow to the right (positive) or left
-                    (negative) by this many pixels.
-                y
-                    Sets the annotation's y position. If the axis
-                    `type` is "log", then you must take the log of
-                    your desired range. If the axis `type` is
-                    "date", it should be date strings, like date
-                    data, though Date objects and unix milliseconds
-                    will be accepted and converted to strings. If
-                    the axis `type` is "category", it should be
-                    numbers, using the scale where each category is
-                    assigned a serial number from zero in the order
-                    it appears.
-                yanchor
-                    Sets the text box's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the annotation.
-                    For example, if `y` is set to 1, `yref` to
-                    "paper" and `yanchor` to "top" then the top-
-                    most portion of the annotation lines up with
-                    the top-most edge of the plotting area. If
-                    "auto", the anchor is equivalent to "middle"
-                    for data-referenced annotations or if there is
-                    an arrow, whereas for paper-referenced with no
-                    arrow, the anchor picked corresponds to the
-                    closest side.
-                yclick
-                    Toggle this annotation when clicking a data
-                    point whose `y` value is `yclick` rather than
-                    the annotation's `y` value.
-                yref
-                    Sets the annotation's y coordinate axis. If set
-                    to an y axis id (e.g. "y" or "y2"), the `y`
-                    position refers to an y coordinate If set to
-                    "paper", the `y` position refers to the
-                    distance from the bottom of the plotting area
-                    in normalized coordinates where 0 (1)
-                    corresponds to the bottom (top).
-                yshift
-                    Shifts the position of the whole annotation and
-                    arrow up (positive) or down (negative) by this
-                    many pixels.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.Annotation]
-        """
-        return self["annotations"]
-
-    @annotations.setter
-    def annotations(self, val):
-        self["annotations"] = val
-
-    # annotationdefaults
-    # ------------------
-    @property
-    def annotationdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.annotationdefaults), sets the default
-        property values to use for elements of layout.annotations
-    
-        The 'annotationdefaults' property is an instance of Annotation
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Annotation`
-          - A dict of string/value properties that will be passed
-            to the Annotation constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Annotation
-        """
-        return self["annotationdefaults"]
-
-    @annotationdefaults.setter
-    def annotationdefaults(self, val):
-        self["annotationdefaults"] = val
-
-    # autosize
-    # --------
-    @property
-    def autosize(self):
-        """
-        Determines whether or not a layout width or height that has
-        been left undefined by the user is initialized on each
-        relayout. Note that, regardless of this attribute, an undefined
-        layout width or height is always initialized on the first call
-        to plot.
-    
-        The 'autosize' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autosize"]
-
-    @autosize.setter
-    def autosize(self, val):
-        self["autosize"] = val
-
-    # bargap
-    # ------
-    @property
-    def bargap(self):
-        """
-        Sets the gap (in plot fraction) between bars of adjacent
-        location coordinates.
-    
-        The 'bargap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["bargap"]
-
-    @bargap.setter
-    def bargap(self, val):
-        self["bargap"] = val
-
-    # bargroupgap
-    # -----------
-    @property
-    def bargroupgap(self):
-        """
-        Sets the gap (in plot fraction) between bars of the same
-        location coordinate.
-    
-        The 'bargroupgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["bargroupgap"]
-
-    @bargroupgap.setter
-    def bargroupgap(self, val):
-        self["bargroupgap"] = val
-
-    # barmode
-    # -------
-    @property
-    def barmode(self):
-        """
-        Determines how bars at the same location coordinate are
-        displayed on the graph. With "stack", the bars are stacked on
-        top of one another With "relative", the bars are stacked on top
-        of one another, with negative values below the axis, positive
-        values above With "group", the bars are plotted next to one
-        another centered around the shared location. With "overlay",
-        the bars are plotted over one another, you might need to an
-        "opacity" to see multiple bars.
-    
-        The 'barmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['stack', 'group', 'overlay', 'relative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["barmode"]
-
-    @barmode.setter
-    def barmode(self, val):
-        self["barmode"] = val
-
-    # barnorm
-    # -------
-    @property
-    def barnorm(self):
-        """
-        Sets the normalization for bar traces on the graph. With
-        "fraction", the value of each bar is divided by the sum of all
-        values at that location coordinate. "percent" is the same but
-        multiplied by 100 to show percentages.
-    
-        The 'barnorm' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['', 'fraction', 'percent']
-
-        Returns
-        -------
-        Any
-        """
-        return self["barnorm"]
-
-    @barnorm.setter
-    def barnorm(self, val):
-        self["barnorm"] = val
-
-    # boxgap
-    # ------
-    @property
-    def boxgap(self):
-        """
-        Sets the gap (in plot fraction) between boxes of adjacent
-        location coordinates. Has no effect on traces that have "width"
-        set.
-    
-        The 'boxgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["boxgap"]
-
-    @boxgap.setter
-    def boxgap(self, val):
-        self["boxgap"] = val
-
-    # boxgroupgap
-    # -----------
-    @property
-    def boxgroupgap(self):
-        """
-        Sets the gap (in plot fraction) between boxes of the same
-        location coordinate. Has no effect on traces that have "width"
-        set.
-    
-        The 'boxgroupgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["boxgroupgap"]
-
-    @boxgroupgap.setter
-    def boxgroupgap(self, val):
-        self["boxgroupgap"] = val
-
-    # boxmode
-    # -------
-    @property
-    def boxmode(self):
-        """
-        Determines how boxes at the same location coordinate are
-        displayed on the graph. If "group", the boxes are plotted next
-        to one another centered around the shared location. If
-        "overlay", the boxes are plotted over one another, you might
-        need to set "opacity" to see them multiple boxes. Has no effect
-        on traces that have "width" set.
-    
-        The 'boxmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['group', 'overlay']
-
-        Returns
-        -------
-        Any
-        """
-        return self["boxmode"]
-
-    @boxmode.setter
-    def boxmode(self, val):
-        self["boxmode"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the default calendar system to use for interpreting and
-        displaying dates throughout the plot.
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # clickmode
-    # ---------
-    @property
-    def clickmode(self):
-        """
-        Determines the mode of single click interactions. "event" is
-        the default value and emits the `plotly_click` event. In
-        addition this mode emits the `plotly_selected` event in drag
-        modes "lasso" and "select", but with no event data attached
-        (kept for compatibility reasons). The "select" flag enables
-        selecting single data points via click. This mode also supports
-        persistent selections, meaning that pressing Shift while
-        clicking, adds to / subtracts from an existing selection.
-        "select" with `hovermode`: "x" can be confusing, consider
-        explicitly setting `hovermode`: "closest" when using this
-        feature. Selection events are sent accordingly as long as
-        "event" flag is set as well. When the "event" flag is missing,
-        `plotly_click` and `plotly_selected` events are not fired.
-    
-        The 'clickmode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['event', 'select'] joined with '+' characters
-            (e.g. 'event+select')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["clickmode"]
-
-    @clickmode.setter
-    def clickmode(self, val):
-        self["clickmode"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        The 'coloraxis' property is an instance of Coloraxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Coloraxis`
-          - A dict of string/value properties that will be passed
-            to the Coloraxis constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `colorscale`. In case
-                    `colorscale` is unspecified or `autocolorscale`
-                    is true, the default  palette will be chosen
-                    according to whether numbers in the `color`
-                    array are all positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    corresponding trace color array(s)) or the
-                    bounds set in `cmin` and `cmax`  Defaults to
-                    `false` when `cmin` and `cmax` are set by the
-                    user.
-                cmax
-                    Sets the upper bound of the color domain. Value
-                    should have the same units as corresponding
-                    trace color array(s) and if set, `cmin` must be
-                    set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `cmin` and/or `cmax` to be equidistant
-                    to this point. Value should have the same units
-                    as corresponding trace color array(s). Has no
-                    effect when `cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Value
-                    should have the same units as corresponding
-                    trace color array(s) and if set, `cmax` must be
-                    set as well.
-                colorbar
-                    :class:`plotly.graph_objects.layout.coloraxis.C
-                    olorBar` instance or dict with compatible
-                    properties
-                colorscale
-                    Sets the colorscale. The colorscale must be an
-                    array containing arrays mapping a normalized
-                    value to an rgb, rgba, hex, hsl, hsv, or named
-                    color string. At minimum, a mapping for the
-                    lowest (0) and highest (1) values are required.
-                    For example, `[[0, 'rgb(0,0,255)'], [1,
-                    'rgb(255,0,0)']]`. To control the bounds of the
-                    colorscale in color space, use`cmin` and
-                    `cmax`. Alternatively, `colorscale` may be a
-                    palette name string of the following list: Grey
-                    s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                    Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                    ,Electric,Viridis,Cividis.
-                reversescale
-                    Reverses the color mapping if true. If true,
-                    `cmin` will correspond to the last color in the
-                    array and `cmax` will correspond to the first
-                    color.
-                showscale
-                    Determines whether or not a colorbar is
-                    displayed for this trace.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Coloraxis
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        The 'colorscale' property is an instance of Colorscale
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Colorscale`
-          - A dict of string/value properties that will be passed
-            to the Colorscale constructor
-    
-            Supported dict properties:
-                
-                diverging
-                    Sets the default diverging colorscale. Note
-                    that `autocolorscale` must be true for this
-                    attribute to work.
-                sequential
-                    Sets the default sequential colorscale for
-                    positive values. Note that `autocolorscale`
-                    must be true for this attribute to work.
-                sequentialminus
-                    Sets the default sequential colorscale for
-                    negative values. Note that `autocolorscale`
-                    must be true for this attribute to work.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Colorscale
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorway
-    # --------
-    @property
-    def colorway(self):
-        """
-        Sets the default trace colors.
-    
-        The 'colorway' property is a colorlist that may be specified
-        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
-        color strings
-
-        Returns
-        -------
-        list
-        """
-        return self["colorway"]
-
-    @colorway.setter
-    def colorway(self, val):
-        self["colorway"] = val
-
-    # datarevision
-    # ------------
-    @property
-    def datarevision(self):
-        """
-        If provided, a changed value tells `Plotly.react` that one or
-        more data arrays has changed. This way you can modify arrays
-        in-place rather than making a complete new copy for an
-        incremental change. If NOT provided, `Plotly.react` assumes
-        that data arrays are being treated as immutable, thus any data
-        array with a different identity from its predecessor contains
-        new data.
-    
-        The 'datarevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["datarevision"]
-
-    @datarevision.setter
-    def datarevision(self, val):
-        self["datarevision"] = val
-
-    # direction
-    # ---------
-    @property
-    def direction(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the direction corresponding to positive angles
-        in legacy polar charts.
-    
-        The 'direction' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['clockwise', 'counterclockwise']
-
-        Returns
-        -------
-        Any
-        """
-        return self["direction"]
-
-    @direction.setter
-    def direction(self, val):
-        self["direction"] = val
-
-    # dragmode
-    # --------
-    @property
-    def dragmode(self):
-        """
-        Determines the mode of drag interactions. "select" and "lasso"
-        apply only to scatter traces with markers or text. "orbit" and
-        "turntable" apply only to 3D scenes.
-    
-        The 'dragmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['zoom', 'pan', 'select', 'lasso', 'orbit', 'turntable',
-                False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["dragmode"]
-
-    @dragmode.setter
-    def dragmode(self, val):
-        self["dragmode"] = val
-
-    # editrevision
-    # ------------
-    @property
-    def editrevision(self):
-        """
-        Controls persistence of user-driven changes in `editable: true`
-        configuration, other than trace names and axis titles. Defaults
-        to `layout.uirevision`.
-    
-        The 'editrevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["editrevision"]
-
-    @editrevision.setter
-    def editrevision(self, val):
-        self["editrevision"] = val
-
-    # extendfunnelareacolors
-    # ----------------------
-    @property
-    def extendfunnelareacolors(self):
-        """
-        If `true`, the funnelarea slice colors (whether given by
-        `funnelareacolorway` or inherited from `colorway`) will be
-        extended to three times its original length by first repeating
-        every color 20% lighter then each color 20% darker. This is
-        intended to reduce the likelihood of reusing the same color
-        when you have many slices, but you can set `false` to disable.
-        Colors provided in the trace, using `marker.colors`, are never
-        extended.
-    
-        The 'extendfunnelareacolors' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["extendfunnelareacolors"]
-
-    @extendfunnelareacolors.setter
-    def extendfunnelareacolors(self, val):
-        self["extendfunnelareacolors"] = val
-
-    # extendpiecolors
-    # ---------------
-    @property
-    def extendpiecolors(self):
-        """
-        If `true`, the pie slice colors (whether given by `piecolorway`
-        or inherited from `colorway`) will be extended to three times
-        its original length by first repeating every color 20% lighter
-        then each color 20% darker. This is intended to reduce the
-        likelihood of reusing the same color when you have many slices,
-        but you can set `false` to disable. Colors provided in the
-        trace, using `marker.colors`, are never extended.
-    
-        The 'extendpiecolors' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["extendpiecolors"]
-
-    @extendpiecolors.setter
-    def extendpiecolors(self, val):
-        self["extendpiecolors"] = val
-
-    # extendsunburstcolors
-    # --------------------
-    @property
-    def extendsunburstcolors(self):
-        """
-        If `true`, the sunburst slice colors (whether given by
-        `sunburstcolorway` or inherited from `colorway`) will be
-        extended to three times its original length by first repeating
-        every color 20% lighter then each color 20% darker. This is
-        intended to reduce the likelihood of reusing the same color
-        when you have many slices, but you can set `false` to disable.
-        Colors provided in the trace, using `marker.colors`, are never
-        extended.
-    
-        The 'extendsunburstcolors' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["extendsunburstcolors"]
-
-    @extendsunburstcolors.setter
-    def extendsunburstcolors(self, val):
-        self["extendsunburstcolors"] = val
-
-    # extendtreemapcolors
-    # -------------------
-    @property
-    def extendtreemapcolors(self):
-        """
-        If `true`, the treemap slice colors (whether given by
-        `treemapcolorway` or inherited from `colorway`) will be
-        extended to three times its original length by first repeating
-        every color 20% lighter then each color 20% darker. This is
-        intended to reduce the likelihood of reusing the same color
-        when you have many slices, but you can set `false` to disable.
-        Colors provided in the trace, using `marker.colors`, are never
-        extended.
-    
-        The 'extendtreemapcolors' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["extendtreemapcolors"]
-
-    @extendtreemapcolors.setter
-    def extendtreemapcolors(self, val):
-        self["extendtreemapcolors"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the global font. Note that fonts used in traces and other
-        layout components inherit from the global font.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # funnelareacolorway
-    # ------------------
-    @property
-    def funnelareacolorway(self):
-        """
-        Sets the default funnelarea slice colors. Defaults to the main
-        `colorway` used for trace colors. If you specify a new list
-        here it can still be extended with lighter and darker colors,
-        see `extendfunnelareacolors`.
-    
-        The 'funnelareacolorway' property is a colorlist that may be specified
-        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
-        color strings
-
-        Returns
-        -------
-        list
-        """
-        return self["funnelareacolorway"]
-
-    @funnelareacolorway.setter
-    def funnelareacolorway(self, val):
-        self["funnelareacolorway"] = val
-
-    # funnelgap
-    # ---------
-    @property
-    def funnelgap(self):
-        """
-        Sets the gap (in plot fraction) between bars of adjacent
-        location coordinates.
-    
-        The 'funnelgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["funnelgap"]
-
-    @funnelgap.setter
-    def funnelgap(self, val):
-        self["funnelgap"] = val
-
-    # funnelgroupgap
-    # --------------
-    @property
-    def funnelgroupgap(self):
-        """
-        Sets the gap (in plot fraction) between bars of the same
-        location coordinate.
-    
-        The 'funnelgroupgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["funnelgroupgap"]
-
-    @funnelgroupgap.setter
-    def funnelgroupgap(self, val):
-        self["funnelgroupgap"] = val
-
-    # funnelmode
-    # ----------
-    @property
-    def funnelmode(self):
-        """
-        Determines how bars at the same location coordinate are
-        displayed on the graph. With "stack", the bars are stacked on
-        top of one another With "group", the bars are plotted next to
-        one another centered around the shared location. With
-        "overlay", the bars are plotted over one another, you might
-        need to an "opacity" to see multiple bars.
-    
-        The 'funnelmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['stack', 'group', 'overlay']
-
-        Returns
-        -------
-        Any
-        """
-        return self["funnelmode"]
-
-    @funnelmode.setter
-    def funnelmode(self, val):
-        self["funnelmode"] = val
-
-    # geo
-    # ---
-    @property
-    def geo(self):
-        """
-        The 'geo' property is an instance of Geo
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Geo`
-          - A dict of string/value properties that will be passed
-            to the Geo constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Set the background color of the map
-                center
-                    :class:`plotly.graph_objects.layout.geo.Center`
-                    instance or dict with compatible properties
-                coastlinecolor
-                    Sets the coastline color.
-                coastlinewidth
-                    Sets the coastline stroke width (in px).
-                countrycolor
-                    Sets line color of the country boundaries.
-                countrywidth
-                    Sets line width (in px) of the country
-                    boundaries.
-                domain
-                    :class:`plotly.graph_objects.layout.geo.Domain`
-                    instance or dict with compatible properties
-                fitbounds
-                    Determines if this subplot's view settings are
-                    auto-computed to fit trace data. On scoped
-                    maps, setting `fitbounds` leads to `center.lon`
-                    and `center.lat` getting auto-filled. On maps
-                    with a non-clipped projection, setting
-                    `fitbounds` leads to `center.lon`,
-                    `center.lat`, and `projection.rotation.lon`
-                    getting auto-filled. On maps with a clipped
-                    projection, setting `fitbounds` leads to
-                    `center.lon`, `center.lat`,
-                    `projection.rotation.lon`,
-                    `projection.rotation.lat`, `lonaxis.range` and
-                    `lonaxis.range` getting auto-filled. If
-                    "locations", only the trace's visible locations
-                    are considered in the `fitbounds` computations.
-                    If "geojson", the entire trace input `geojson`
-                    (if provided) is considered in the `fitbounds`
-                    computations, Defaults to False.
-                framecolor
-                    Sets the color the frame.
-                framewidth
-                    Sets the stroke width (in px) of the frame.
-                lakecolor
-                    Sets the color of the lakes.
-                landcolor
-                    Sets the land mass color.
-                lataxis
-                    :class:`plotly.graph_objects.layout.geo.Lataxis
-                    ` instance or dict with compatible properties
-                lonaxis
-                    :class:`plotly.graph_objects.layout.geo.Lonaxis
-                    ` instance or dict with compatible properties
-                oceancolor
-                    Sets the ocean color
-                projection
-                    :class:`plotly.graph_objects.layout.geo.Project
-                    ion` instance or dict with compatible
-                    properties
-                resolution
-                    Sets the resolution of the base layers. The
-                    values have units of km/mm e.g. 110 corresponds
-                    to a scale ratio of 1:110,000,000.
-                rivercolor
-                    Sets color of the rivers.
-                riverwidth
-                    Sets the stroke width (in px) of the rivers.
-                scope
-                    Set the scope of the map.
-                showcoastlines
-                    Sets whether or not the coastlines are drawn.
-                showcountries
-                    Sets whether or not country boundaries are
-                    drawn.
-                showframe
-                    Sets whether or not a frame is drawn around the
-                    map.
-                showlakes
-                    Sets whether or not lakes are drawn.
-                showland
-                    Sets whether or not land masses are filled in
-                    color.
-                showocean
-                    Sets whether or not oceans are filled in color.
-                showrivers
-                    Sets whether or not rivers are drawn.
-                showsubunits
-                    Sets whether or not boundaries of subunits
-                    within countries (e.g. states, provinces) are
-                    drawn.
-                subunitcolor
-                    Sets the color of the subunits boundaries.
-                subunitwidth
-                    Sets the stroke width (in px) of the subunits
-                    boundaries.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    the view (projection and center). Defaults to
-                    `layout.uirevision`.
-                visible
-                    Sets the default visibility of the base layers.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Geo
-        """
-        return self["geo"]
-
-    @geo.setter
-    def geo(self, val):
-        self["geo"] = val
-
-    # grid
-    # ----
-    @property
-    def grid(self):
-        """
-        The 'grid' property is an instance of Grid
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Grid`
-          - A dict of string/value properties that will be passed
-            to the Grid constructor
-    
-            Supported dict properties:
-                
-                columns
-                    The number of columns in the grid. If you
-                    provide a 2D `subplots` array, the length of
-                    its longest row is used as the default. If you
-                    give an `xaxes` array, its length is used as
-                    the default. But it's also possible to have a
-                    different length, if you want to leave a row at
-                    the end for non-cartesian subplots.
-                domain
-                    :class:`plotly.graph_objects.layout.grid.Domain
-                    ` instance or dict with compatible properties
-                pattern
-                    If no `subplots`, `xaxes`, or `yaxes` are given
-                    but we do have `rows` and `columns`, we can
-                    generate defaults using consecutive axis IDs,
-                    in two ways: "coupled" gives one x axis per
-                    column and one y axis per row. "independent"
-                    uses a new xy pair for each cell, left-to-right
-                    across each row then iterating rows according
-                    to `roworder`.
-                roworder
-                    Is the first row the top or the bottom? Note
-                    that columns are always enumerated from left to
-                    right.
-                rows
-                    The number of rows in the grid. If you provide
-                    a 2D `subplots` array or a `yaxes` array, its
-                    length is used as the default. But it's also
-                    possible to have a different length, if you
-                    want to leave a row at the end for non-
-                    cartesian subplots.
-                subplots
-                    Used for freeform grids, where some axes may be
-                    shared across subplots but others are not. Each
-                    entry should be a cartesian subplot id, like
-                    "xy" or "x3y2", or "" to leave that cell empty.
-                    You may reuse x axes within the same column,
-                    and y axes within the same row. Non-cartesian
-                    subplots and traces that support `domain` can
-                    place themselves in this grid separately using
-                    the `gridcell` attribute.
-                xaxes
-                    Used with `yaxes` when the x and y axes are
-                    shared across columns and rows. Each entry
-                    should be an x axis id like "x", "x2", etc., or
-                    "" to not put an x axis in that column. Entries
-                    other than "" must be unique. Ignored if
-                    `subplots` is present. If missing but `yaxes`
-                    is present, will generate consecutive IDs.
-                xgap
-                    Horizontal space between grid cells, expressed
-                    as a fraction of the total width available to
-                    one cell. Defaults to 0.1 for coupled-axes
-                    grids and 0.2 for independent grids.
-                xside
-                    Sets where the x axis labels and titles go.
-                    "bottom" means the very bottom of the grid.
-                    "bottom plot" is the lowest plot that each x
-                    axis is used in. "top" and "top plot" are
-                    similar.
-                yaxes
-                    Used with `yaxes` when the x and y axes are
-                    shared across columns and rows. Each entry
-                    should be an y axis id like "y", "y2", etc., or
-                    "" to not put a y axis in that row. Entries
-                    other than "" must be unique. Ignored if
-                    `subplots` is present. If missing but `xaxes`
-                    is present, will generate consecutive IDs.
-                ygap
-                    Vertical space between grid cells, expressed as
-                    a fraction of the total height available to one
-                    cell. Defaults to 0.1 for coupled-axes grids
-                    and 0.3 for independent grids.
-                yside
-                    Sets where the y axis labels and titles go.
-                    "left" means the very left edge of the grid.
-                    *left plot* is the leftmost plot that each y
-                    axis is used in. "right" and *right plot* are
-                    similar.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Grid
-        """
-        return self["grid"]
-
-    @grid.setter
-    def grid(self, val):
-        self["grid"] = val
-
-    # height
-    # ------
-    @property
-    def height(self):
-        """
-        Sets the plot's height (in px).
-    
-        The 'height' property is a number and may be specified as:
-          - An int or float in the interval [10, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["height"]
-
-    @height.setter
-    def height(self, val):
-        self["height"] = val
-
-    # hiddenlabels
-    # ------------
-    @property
-    def hiddenlabels(self):
-        """
-        hiddenlabels is the funnelarea & pie chart analog of
-        visible:'legendonly' but it can contain many labels, and can
-        simultaneously hide slices from several pies/funnelarea charts
-    
-        The 'hiddenlabels' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["hiddenlabels"]
-
-    @hiddenlabels.setter
-    def hiddenlabels(self, val):
-        self["hiddenlabels"] = val
-
-    # hiddenlabelssrc
-    # ---------------
-    @property
-    def hiddenlabelssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hiddenlabels .
-    
-        The 'hiddenlabelssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hiddenlabelssrc"]
-
-    @hiddenlabelssrc.setter
-    def hiddenlabelssrc(self, val):
-        self["hiddenlabelssrc"] = val
-
-    # hidesources
-    # -----------
-    @property
-    def hidesources(self):
-        """
-        Determines whether or not a text link citing the data source is
-        placed at the bottom-right cored of the figure. Has only an
-        effect only on graphs that have been generated via forked
-        graphs from the Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise).
-    
-        The 'hidesources' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["hidesources"]
-
-    @hidesources.setter
-    def hidesources(self, val):
-        self["hidesources"] = val
-
-    # hoverdistance
-    # -------------
-    @property
-    def hoverdistance(self):
-        """
-        Sets the default distance (in pixels) to look for data to add
-        hover labels (-1 means no cutoff, 0 means no looking for data).
-        This is only a real distance for hovering on point-like
-        objects, like scatter points. For area-like objects (bars,
-        scatter fills, etc) hovering is on inside the area and off
-        outside, but these objects will not supersede hover on point-
-        like objects in case of conflict.
-    
-        The 'hoverdistance' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["hoverdistance"]
-
-    @hoverdistance.setter
-    def hoverdistance(self, val):
-        self["hoverdistance"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                bgcolor
-                    Sets the background color of all hover labels
-                    on graph
-                bordercolor
-                    Sets the border color of all hover labels on
-                    graph.
-                font
-                    Sets the default hover label font used by all
-                    traces on the graph.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovermode
-    # ---------
-    @property
-    def hovermode(self):
-        """
-        Determines the mode of hover interactions. If "closest", a
-        single hoverlabel will appear for the "closest" point within
-        the `hoverdistance`. If "x" (or "y"), multiple hoverlabels will
-        appear for multiple points at the "closest" x- (or y-)
-        coordinate within the `hoverdistance`, with the caveat that no
-        more than one hoverlabel will appear per trace. If *x unified*
-        (or *y unified*), a single hoverlabel will appear multiple
-        points at the closest x- (or y-) coordinate within the
-        `hoverdistance` with the caveat that no more than one
-        hoverlabel will appear per trace. In this mode, spikelines are
-        enabled by default perpendicular to the specified axis. If
-        false, hover interactions are disabled. If `clickmode` includes
-        the "select" flag, `hovermode` defaults to "closest". If
-        `clickmode` lacks the "select" flag, it defaults to "x" or "y"
-        (depending on the trace's `orientation` value) for plots based
-        on cartesian coordinates. For anything else the default value
-        is "closest".
-    
-        The 'hovermode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['x', 'y', 'closest', False, 'x unified', 'y unified']
-
-        Returns
-        -------
-        Any
-        """
-        return self["hovermode"]
-
-    @hovermode.setter
-    def hovermode(self, val):
-        self["hovermode"] = val
-
-    # images
-    # ------
-    @property
-    def images(self):
-        """
-        The 'images' property is a tuple of instances of
-        Image that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.Image
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Image constructor
-    
-            Supported dict properties:
-                
-                layer
-                    Specifies whether images are drawn below or
-                    above traces. When `xref` and `yref` are both
-                    set to `paper`, image is drawn below the entire
-                    plot area.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                opacity
-                    Sets the opacity of the image.
-                sizex
-                    Sets the image container size horizontally. The
-                    image will be sized based on the `position`
-                    value. When `xref` is set to `paper`, units are
-                    sized relative to the plot width.
-                sizey
-                    Sets the image container size vertically. The
-                    image will be sized based on the `position`
-                    value. When `yref` is set to `paper`, units are
-                    sized relative to the plot height.
-                sizing
-                    Specifies which dimension of the image to
-                    constrain.
-                source
-                    Specifies the URL of the image to be used. The
-                    URL must be accessible from the domain where
-                    the plot code is run, and can be either
-                    relative or absolute.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                visible
-                    Determines whether or not this image is
-                    visible.
-                x
-                    Sets the image's x position. When `xref` is set
-                    to `paper`, units are sized relative to the
-                    plot height. See `xref` for more info
-                xanchor
-                    Sets the anchor for the x position
-                xref
-                    Sets the images's x coordinate axis. If set to
-                    a x axis id (e.g. "x" or "x2"), the `x`
-                    position refers to an x data coordinate If set
-                    to "paper", the `x` position refers to the
-                    distance from the left of plot in normalized
-                    coordinates where 0 (1) corresponds to the left
-                    (right).
-                y
-                    Sets the image's y position. When `yref` is set
-                    to `paper`, units are sized relative to the
-                    plot height. See `yref` for more info
-                yanchor
-                    Sets the anchor for the y position.
-                yref
-                    Sets the images's y coordinate axis. If set to
-                    a y axis id (e.g. "y" or "y2"), the `y`
-                    position refers to a y data coordinate. If set
-                    to "paper", the `y` position refers to the
-                    distance from the bottom of the plot in
-                    normalized coordinates where 0 (1) corresponds
-                    to the bottom (top).
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.Image]
-        """
-        return self["images"]
-
-    @images.setter
-    def images(self, val):
-        self["images"] = val
-
-    # imagedefaults
-    # -------------
-    @property
-    def imagedefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.imagedefaults), sets the default
-        property values to use for elements of layout.images
-    
-        The 'imagedefaults' property is an instance of Image
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Image`
-          - A dict of string/value properties that will be passed
-            to the Image constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Image
-        """
-        return self["imagedefaults"]
-
-    @imagedefaults.setter
-    def imagedefaults(self, val):
-        self["imagedefaults"] = val
-
-    # legend
-    # ------
-    @property
-    def legend(self):
-        """
-        The 'legend' property is an instance of Legend
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Legend`
-          - A dict of string/value properties that will be passed
-            to the Legend constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the legend background color. Defaults to
-                    `layout.paper_bgcolor`.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    legend.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the legend.
-                font
-                    Sets the font used to text the legend items.
-                itemclick
-                    Determines the behavior on legend item click.
-                    "toggle" toggles the visibility of the item
-                    clicked on the graph. "toggleothers" makes the
-                    clicked item the sole visible item on the
-                    graph. False disable legend item click
-                    interactions.
-                itemdoubleclick
-                    Determines the behavior on legend item double-
-                    click. "toggle" toggles the visibility of the
-                    item clicked on the graph. "toggleothers" makes
-                    the clicked item the sole visible item on the
-                    graph. False disable legend item double-click
-                    interactions.
-                itemsizing
-                    Determines if the legend items symbols scale
-                    with their corresponding "trace" attributes or
-                    remain "constant" independent of the symbol
-                    size on the graph.
-                orientation
-                    Sets the orientation of the legend.
-                title
-                    :class:`plotly.graph_objects.layout.legend.Titl
-                    e` instance or dict with compatible properties
-                tracegroupgap
-                    Sets the amount of vertical space (in px)
-                    between legend groups.
-                traceorder
-                    Determines the order at which the legend items
-                    are displayed. If "normal", the items are
-                    displayed top-to-bottom in the same order as
-                    the input data. If "reversed", the items are
-                    displayed in the opposite order as "normal". If
-                    "grouped", the items are displayed in groups
-                    (when a trace `legendgroup` is provided). if
-                    "grouped+reversed", the items are displayed in
-                    the opposite order as "grouped".
-                uirevision
-                    Controls persistence of legend-driven changes
-                    in trace and pie label visibility. Defaults to
-                    `layout.uirevision`.
-                valign
-                    Sets the vertical alignment of the symbols with
-                    respect to their associated text.
-                x
-                    Sets the x position (in normalized coordinates)
-                    of the legend. Defaults to 1.02 for vertical
-                    legends and defaults to 0 for horizontal
-                    legends.
-                xanchor
-                    Sets the legend's horizontal position anchor.
-                    This anchor binds the `x` position to the
-                    "left", "center" or "right" of the legend.
-                    Value "auto" anchors legends to the right for
-                    `x` values greater than or equal to 2/3,
-                    anchors legends to the left for `x` values less
-                    than or equal to 1/3 and anchors legends with
-                    respect to their center otherwise.
-                y
-                    Sets the y position (in normalized coordinates)
-                    of the legend. Defaults to 1 for vertical
-                    legends, defaults to "-0.1" for horizontal
-                    legends on graphs w/o range sliders and
-                    defaults to 1.1 for horizontal legends on graph
-                    with one or multiple range sliders.
-                yanchor
-                    Sets the legend's vertical position anchor This
-                    anchor binds the `y` position to the "top",
-                    "middle" or "bottom" of the legend. Value
-                    "auto" anchors legends at their bottom for `y`
-                    values less than or equal to 1/3, anchors
-                    legends to at their top for `y` values greater
-                    than or equal to 2/3 and anchors legends with
-                    respect to their middle otherwise.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Legend
-        """
-        return self["legend"]
-
-    @legend.setter
-    def legend(self, val):
-        self["legend"] = val
-
-    # mapbox
-    # ------
-    @property
-    def mapbox(self):
-        """
-        The 'mapbox' property is an instance of Mapbox
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Mapbox`
-          - A dict of string/value properties that will be passed
-            to the Mapbox constructor
-    
-            Supported dict properties:
-                
-                accesstoken
-                    Sets the mapbox access token to be used for
-                    this mapbox map. Alternatively, the mapbox
-                    access token can be set in the configuration
-                    options under `mapboxAccessToken`. Note that
-                    accessToken are only required when `style` (e.g
-                    with values : basic, streets, outdoors, light,
-                    dark, satellite, satellite-streets ) and/or a
-                    layout layer references the Mapbox server.
-                bearing
-                    Sets the bearing angle of the map in degrees
-                    counter-clockwise from North (mapbox.bearing).
-                center
-                    :class:`plotly.graph_objects.layout.mapbox.Cent
-                    er` instance or dict with compatible properties
-                domain
-                    :class:`plotly.graph_objects.layout.mapbox.Doma
-                    in` instance or dict with compatible properties
-                layers
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    mapbox.Layer` instances or dicts with
-                    compatible properties
-                layerdefaults
-                    When used in a template (as
-                    layout.template.layout.mapbox.layerdefaults),
-                    sets the default property values to use for
-                    elements of layout.mapbox.layers
-                pitch
-                    Sets the pitch angle of the map (in degrees,
-                    where 0 means perpendicular to the surface of
-                    the map) (mapbox.pitch).
-                style
-                    Defines the map layers that are rendered by
-                    default below the trace layers defined in
-                    `data`, which are themselves by default
-                    rendered below the layers defined in
-                    `layout.mapbox.layers`.  These layers can be
-                    defined either explicitly as a Mapbox Style
-                    object which can contain multiple layer
-                    definitions that load data from any public or
-                    private Tile Map Service (TMS or XYZ) or Web
-                    Map Service (WMS) or implicitly by using one of
-                    the built-in style objects which use WMSes
-                    which do not require any access tokens, or by
-                    using a default Mapbox style or custom Mapbox
-                    style URL, both of which require a Mapbox
-                    access token  Note that Mapbox access token can
-                    be set in the `accesstoken` attribute or in the
-                    `mapboxAccessToken` config option.  Mapbox
-                    Style objects are of the form described in the
-                    Mapbox GL JS documentation available at
-                    https://docs.mapbox.com/mapbox-gl-js/style-spec
-                    The built-in plotly.js styles objects are:
-                    open-street-map, white-bg, carto-positron,
-                    carto-darkmatter, stamen-terrain, stamen-toner,
-                    stamen-watercolor  The built-in Mapbox styles
-                    are: basic, streets, outdoors, light, dark,
-                    satellite, satellite-streets  Mapbox style URLs
-                    are of the form:
-                    mapbox://mapbox.mapbox-<name>-<version>
-                uirevision
-                    Controls persistence of user-driven changes in
-                    the view: `center`, `zoom`, `bearing`, `pitch`.
-                    Defaults to `layout.uirevision`.
-                zoom
-                    Sets the zoom level of the map (mapbox.zoom).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Mapbox
-        """
-        return self["mapbox"]
-
-    @mapbox.setter
-    def mapbox(self, val):
-        self["mapbox"] = val
-
-    # margin
-    # ------
-    @property
-    def margin(self):
-        """
-        The 'margin' property is an instance of Margin
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Margin`
-          - A dict of string/value properties that will be passed
-            to the Margin constructor
-    
-            Supported dict properties:
-                
-                autoexpand
-                    Turns on/off margin expansion computations.
-                    Legends, colorbars, updatemenus, sliders, axis
-                    rangeselector and rangeslider are allowed to
-                    push the margins by defaults.
-                b
-                    Sets the bottom margin (in px).
-                l
-                    Sets the left margin (in px).
-                pad
-                    Sets the amount of padding (in px) between the
-                    plotting area and the axis lines
-                r
-                    Sets the right margin (in px).
-                t
-                    Sets the top margin (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Margin
-        """
-        return self["margin"]
-
-    @margin.setter
-    def margin(self, val):
-        self["margin"] = val
-
-    # meta
-    # ----
-    @property
-    def meta(self):
-        """
-        Assigns extra meta information that can be used in various
-        `text` attributes. Attributes such as the graph, axis and
-        colorbar `title.text`, annotation `text` `trace.name` in legend
-        items, `rangeselector`, `updatemenus` and `sliders` `label`
-        text all support `meta`. One can access `meta` fields using
-        template strings: `%{meta[i]}` where `i` is the index of the
-        `meta` item in question. `meta` can also be an object for
-        example `{key: value}` which can be accessed %{meta[key]}.
-    
-        The 'meta' property accepts values of any type
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["meta"]
-
-    @meta.setter
-    def meta(self, val):
-        self["meta"] = val
-
-    # metasrc
-    # -------
-    @property
-    def metasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  meta .
-    
-        The 'metasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["metasrc"]
-
-    @metasrc.setter
-    def metasrc(self, val):
-        self["metasrc"] = val
-
-    # modebar
-    # -------
-    @property
-    def modebar(self):
-        """
-        The 'modebar' property is an instance of Modebar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Modebar`
-          - A dict of string/value properties that will be passed
-            to the Modebar constructor
-    
-            Supported dict properties:
-                
-                activecolor
-                    Sets the color of the active or hovered on
-                    icons in the modebar.
-                bgcolor
-                    Sets the background color of the modebar.
-                color
-                    Sets the color of the icons in the modebar.
-                orientation
-                    Sets the orientation of the modebar.
-                uirevision
-                    Controls persistence of user-driven changes
-                    related to the modebar, including `hovermode`,
-                    `dragmode`, and `showspikes` at both the root
-                    level and inside subplots. Defaults to
-                    `layout.uirevision`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Modebar
-        """
-        return self["modebar"]
-
-    @modebar.setter
-    def modebar(self, val):
-        self["modebar"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Rotates the entire polar by the given angle in legacy
-        polar charts.
-    
-        The 'orientation' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # paper_bgcolor
-    # -------------
-    @property
-    def paper_bgcolor(self):
-        """
-        Sets the background color of the paper where the graph is
-        drawn.
-    
-        The 'paper_bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["paper_bgcolor"]
-
-    @paper_bgcolor.setter
-    def paper_bgcolor(self, val):
-        self["paper_bgcolor"] = val
-
-    # piecolorway
-    # -----------
-    @property
-    def piecolorway(self):
-        """
-        Sets the default pie slice colors. Defaults to the main
-        `colorway` used for trace colors. If you specify a new list
-        here it can still be extended with lighter and darker colors,
-        see `extendpiecolors`.
-    
-        The 'piecolorway' property is a colorlist that may be specified
-        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
-        color strings
-
-        Returns
-        -------
-        list
-        """
-        return self["piecolorway"]
-
-    @piecolorway.setter
-    def piecolorway(self, val):
-        self["piecolorway"] = val
-
-    # plot_bgcolor
-    # ------------
-    @property
-    def plot_bgcolor(self):
-        """
-        Sets the background color of the plotting area in-between x and
-        y axes.
-    
-        The 'plot_bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["plot_bgcolor"]
-
-    @plot_bgcolor.setter
-    def plot_bgcolor(self, val):
-        self["plot_bgcolor"] = val
-
-    # polar
-    # -----
-    @property
-    def polar(self):
-        """
-        The 'polar' property is an instance of Polar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Polar`
-          - A dict of string/value properties that will be passed
-            to the Polar constructor
-    
-            Supported dict properties:
-                
-                angularaxis
-                    :class:`plotly.graph_objects.layout.polar.Angul
-                    arAxis` instance or dict with compatible
-                    properties
-                bargap
-                    Sets the gap between bars of adjacent location
-                    coordinates. Values are unitless, they
-                    represent fractions of the minimum difference
-                    in bar positions in the data.
-                barmode
-                    Determines how bars at the same location
-                    coordinate are displayed on the graph. With
-                    "stack", the bars are stacked on top of one
-                    another With "overlay", the bars are plotted
-                    over one another, you might need to an
-                    "opacity" to see multiple bars.
-                bgcolor
-                    Set the background color of the subplot
-                domain
-                    :class:`plotly.graph_objects.layout.polar.Domai
-                    n` instance or dict with compatible properties
-                gridshape
-                    Determines if the radial axis grid lines and
-                    angular axis line are drawn as "circular"
-                    sectors or as "linear" (polygon) sectors. Has
-                    an effect only when the angular axis has `type`
-                    "category". Note that `radialaxis.angle` is
-                    snapped to the angle of the closest vertex when
-                    `gridshape` is "circular" (so that radial axis
-                    scale is the same as the data scale).
-                hole
-                    Sets the fraction of the radius to cut out of
-                    the polar subplot.
-                radialaxis
-                    :class:`plotly.graph_objects.layout.polar.Radia
-                    lAxis` instance or dict with compatible
-                    properties
-                sector
-                    Sets angular span of this polar subplot with
-                    two angles (in degrees). Sector are assumed to
-                    be spanned in the counterclockwise direction
-                    with 0 corresponding to rightmost limit of the
-                    polar subplot.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis attributes, if not overridden in the
-                    individual axes. Defaults to
-                    `layout.uirevision`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Polar
-        """
-        return self["polar"]
-
-    @polar.setter
-    def polar(self, val):
-        self["polar"] = val
-
-    # radialaxis
-    # ----------
-    @property
-    def radialaxis(self):
-        """
-        The 'radialaxis' property is an instance of RadialAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.RadialAxis`
-          - A dict of string/value properties that will be passed
-            to the RadialAxis constructor
-    
-            Supported dict properties:
-                
-                domain
-                    Polar chart subplots are not supported yet.
-                    This key has currently no effect.
-                endpadding
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots.
-                orientation
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the
-                    orientation (an angle with respect to the
-                    origin) of the radial axis.
-                range
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Defines the start
-                    and end point of this radial axis.
-                showline
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Determines whether
-                    or not the line bounding this radial axis will
-                    be shown on the figure.
-                showticklabels
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Determines whether
-                    or not the radial axis ticks will feature tick
-                    labels.
-                tickcolor
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the color of
-                    the tick lines on this radial axis.
-                ticklen
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the length of
-                    the tick lines on this radial axis.
-                tickorientation
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the
-                    orientation (from the paper perspective) of the
-                    radial axis tick labels.
-                ticksuffix
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Sets the length of
-                    the tick lines on this radial axis.
-                visible
-                    Legacy polar charts are deprecated! Please
-                    switch to "polar" subplots. Determines whether
-                    or not this axis will be visible.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.RadialAxis
-        """
-        return self["radialaxis"]
-
-    @radialaxis.setter
-    def radialaxis(self, val):
-        self["radialaxis"] = val
-
-    # scene
-    # -----
-    @property
-    def scene(self):
-        """
-        The 'scene' property is an instance of Scene
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Scene`
-          - A dict of string/value properties that will be passed
-            to the Scene constructor
-    
-            Supported dict properties:
-                
-                annotations
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    scene.Annotation` instances or dicts with
-                    compatible properties
-                annotationdefaults
-                    When used in a template (as layout.template.lay
-                    out.scene.annotationdefaults), sets the default
-                    property values to use for elements of
-                    layout.scene.annotations
-                aspectmode
-                    If "cube", this scene's axes are drawn as a
-                    cube, regardless of the axes' ranges. If
-                    "data", this scene's axes are drawn in
-                    proportion with the axes' ranges. If "manual",
-                    this scene's axes are drawn in proportion with
-                    the input of "aspectratio" (the default
-                    behavior if "aspectratio" is provided). If
-                    "auto", this scene's axes are drawn using the
-                    results of "data" except when one axis is more
-                    than four times the size of the two others,
-                    where in that case the results of "cube" are
-                    used.
-                aspectratio
-                    Sets this scene's axis aspectratio.
-                bgcolor
-    
-                camera
-                    :class:`plotly.graph_objects.layout.scene.Camer
-                    a` instance or dict with compatible properties
-                domain
-                    :class:`plotly.graph_objects.layout.scene.Domai
-                    n` instance or dict with compatible properties
-                dragmode
-                    Determines the mode of drag interactions for
-                    this scene.
-                hovermode
-                    Determines the mode of hover interactions for
-                    this scene.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    camera attributes. Defaults to
-                    `layout.uirevision`.
-                xaxis
-                    :class:`plotly.graph_objects.layout.scene.XAxis
-                    ` instance or dict with compatible properties
-                yaxis
-                    :class:`plotly.graph_objects.layout.scene.YAxis
-                    ` instance or dict with compatible properties
-                zaxis
-                    :class:`plotly.graph_objects.layout.scene.ZAxis
-                    ` instance or dict with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Scene
-        """
-        return self["scene"]
-
-    @scene.setter
-    def scene(self, val):
-        self["scene"] = val
-
-    # selectdirection
-    # ---------------
-    @property
-    def selectdirection(self):
-        """
-        When "dragmode" is set to "select", this limits the selection
-        of the drag to horizontal, vertical or diagonal. "h" only
-        allows horizontal selection, "v" only vertical, "d" only
-        diagonal and "any" sets no limit.
-    
-        The 'selectdirection' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['h', 'v', 'd', 'any']
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectdirection"]
-
-    @selectdirection.setter
-    def selectdirection(self, val):
-        self["selectdirection"] = val
-
-    # selectionrevision
-    # -----------------
-    @property
-    def selectionrevision(self):
-        """
-        Controls persistence of user-driven changes in selected points
-        from all traces.
-    
-        The 'selectionrevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["selectionrevision"]
-
-    @selectionrevision.setter
-    def selectionrevision(self, val):
-        self["selectionrevision"] = val
-
-    # separators
-    # ----------
-    @property
-    def separators(self):
-        """
-        Sets the decimal and thousand separators. For example, *. *
-        puts a '.' before decimals and a space between thousands. In
-        English locales, dflt is ".," but other locales may alter this
-        default.
-    
-        The 'separators' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["separators"]
-
-    @separators.setter
-    def separators(self, val):
-        self["separators"] = val
-
-    # shapes
-    # ------
-    @property
-    def shapes(self):
-        """
-        The 'shapes' property is a tuple of instances of
-        Shape that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.Shape
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Shape constructor
-    
-            Supported dict properties:
-                
-                fillcolor
-                    Sets the color filling the shape's interior.
-                layer
-                    Specifies whether shapes are drawn below or
-                    above traces.
-                line
-                    :class:`plotly.graph_objects.layout.shape.Line`
-                    instance or dict with compatible properties
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                opacity
-                    Sets the opacity of the shape.
-                path
-                    For `type` "path" - a valid SVG path with the
-                    pixel values replaced by data values in
-                    `xsizemode`/`ysizemode` being "scaled" and
-                    taken unmodified as pixels relative to
-                    `xanchor` and `yanchor` in case of "pixel" size
-                    mode. There are a few restrictions / quirks
-                    only absolute instructions, not relative. So
-                    the allowed segments are: M, L, H, V, Q, C, T,
-                    S, and Z arcs (A) are not allowed because
-                    radius rx and ry are relative. In the future we
-                    could consider supporting relative commands,
-                    but we would have to decide on how to handle
-                    date and log axes. Note that even as is, Q and
-                    C Bezier paths that are smooth on linear axes
-                    may not be smooth on log, and vice versa. no
-                    chained "polybezier" commands - specify the
-                    segment type for each one. On category axes,
-                    values are numbers scaled to the serial numbers
-                    of categories because using the categories
-                    themselves there would be no way to describe
-                    fractional positions On data axes: because
-                    space and T are both normal components of path
-                    strings, we can't use either to separate date
-                    from time parts. Therefore we'll use underscore
-                    for this purpose: 2015-02-21_13:45:56.789
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                type
-                    Specifies the shape type to be drawn. If
-                    "line", a line is drawn from (`x0`,`y0`) to
-                    (`x1`,`y1`) with respect to the axes' sizing
-                    mode. If "circle", a circle is drawn from
-                    ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
-                    (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2
-                    -`y0`)|) with respect to the axes' sizing mode.
-                    If "rect", a rectangle is drawn linking
-                    (`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`),
-                    (`x0`,`y1`), (`x0`,`y0`) with respect to the
-                    axes' sizing mode. If "path", draw a custom SVG
-                    path using `path`. with respect to the axes'
-                    sizing mode.
-                visible
-                    Determines whether or not this shape is
-                    visible.
-                x0
-                    Sets the shape's starting x position. See
-                    `type` and `xsizemode` for more info.
-                x1
-                    Sets the shape's end x position. See `type` and
-                    `xsizemode` for more info.
-                xanchor
-                    Only relevant in conjunction with `xsizemode`
-                    set to "pixel". Specifies the anchor point on
-                    the x axis to which `x0`, `x1` and x
-                    coordinates within `path` are relative to. E.g.
-                    useful to attach a pixel sized shape to a
-                    certain data value. No effect when `xsizemode`
-                    not set to "pixel".
-                xref
-                    Sets the shape's x coordinate axis. If set to
-                    an x axis id (e.g. "x" or "x2"), the `x`
-                    position refers to an x coordinate. If set to
-                    "paper", the `x` position refers to the
-                    distance from the left side of the plotting
-                    area in normalized coordinates where 0 (1)
-                    corresponds to the left (right) side. If the
-                    axis `type` is "log", then you must take the
-                    log of your desired range. If the axis `type`
-                    is "date", then you must convert the date to
-                    unix time in milliseconds.
-                xsizemode
-                    Sets the shapes's sizing mode along the x axis.
-                    If set to "scaled", `x0`, `x1` and x
-                    coordinates within `path` refer to data values
-                    on the x axis or a fraction of the plot area's
-                    width (`xref` set to "paper"). If set to
-                    "pixel", `xanchor` specifies the x position in
-                    terms of data or plot fraction but `x0`, `x1`
-                    and x coordinates within `path` are pixels
-                    relative to `xanchor`. This way, the shape can
-                    have a fixed width while maintaining a position
-                    relative to data or plot fraction.
-                y0
-                    Sets the shape's starting y position. See
-                    `type` and `ysizemode` for more info.
-                y1
-                    Sets the shape's end y position. See `type` and
-                    `ysizemode` for more info.
-                yanchor
-                    Only relevant in conjunction with `ysizemode`
-                    set to "pixel". Specifies the anchor point on
-                    the y axis to which `y0`, `y1` and y
-                    coordinates within `path` are relative to. E.g.
-                    useful to attach a pixel sized shape to a
-                    certain data value. No effect when `ysizemode`
-                    not set to "pixel".
-                yref
-                    Sets the annotation's y coordinate axis. If set
-                    to an y axis id (e.g. "y" or "y2"), the `y`
-                    position refers to an y coordinate If set to
-                    "paper", the `y` position refers to the
-                    distance from the bottom of the plotting area
-                    in normalized coordinates where 0 (1)
-                    corresponds to the bottom (top).
-                ysizemode
-                    Sets the shapes's sizing mode along the y axis.
-                    If set to "scaled", `y0`, `y1` and y
-                    coordinates within `path` refer to data values
-                    on the y axis or a fraction of the plot area's
-                    height (`yref` set to "paper"). If set to
-                    "pixel", `yanchor` specifies the y position in
-                    terms of data or plot fraction but `y0`, `y1`
-                    and y coordinates within `path` are pixels
-                    relative to `yanchor`. This way, the shape can
-                    have a fixed height while maintaining a
-                    position relative to data or plot fraction.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.Shape]
-        """
-        return self["shapes"]
-
-    @shapes.setter
-    def shapes(self, val):
-        self["shapes"] = val
-
-    # shapedefaults
-    # -------------
-    @property
-    def shapedefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.shapedefaults), sets the default
-        property values to use for elements of layout.shapes
-    
-        The 'shapedefaults' property is an instance of Shape
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Shape`
-          - A dict of string/value properties that will be passed
-            to the Shape constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Shape
-        """
-        return self["shapedefaults"]
-
-    @shapedefaults.setter
-    def shapedefaults(self, val):
-        self["shapedefaults"] = val
-
-    # showlegend
-    # ----------
-    @property
-    def showlegend(self):
-        """
-        Determines whether or not a legend is drawn. Default is `true`
-        if there is a trace to show and any of these: a) Two or more
-        traces would by default be shown in the legend. b) One pie
-        trace is shown in the legend. c) One trace is explicitly given
-        with `showlegend: true`.
-    
-        The 'showlegend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlegend"]
-
-    @showlegend.setter
-    def showlegend(self, val):
-        self["showlegend"] = val
-
-    # sliders
-    # -------
-    @property
-    def sliders(self):
-        """
-        The 'sliders' property is a tuple of instances of
-        Slider that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.Slider
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Slider constructor
-    
-            Supported dict properties:
-                
-                active
-                    Determines which button (by index starting from
-                    0) is considered active.
-                activebgcolor
-                    Sets the background color of the slider grip
-                    while dragging.
-                bgcolor
-                    Sets the background color of the slider.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    slider.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the slider.
-                currentvalue
-                    :class:`plotly.graph_objects.layout.slider.Curr
-                    entvalue` instance or dict with compatible
-                    properties
-                font
-                    Sets the font of the slider step labels.
-                len
-                    Sets the length of the slider This measure
-                    excludes the padding of both ends. That is, the
-                    slider's length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this slider length is set in
-                    units of plot "fraction" or in *pixels. Use
-                    `len` to set the value.
-                minorticklen
-                    Sets the length in pixels of minor step tick
-                    marks
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                pad
-                    Set the padding of the slider component along
-                    each side.
-                steps
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    slider.Step` instances or dicts with compatible
-                    properties
-                stepdefaults
-                    When used in a template (as
-                    layout.template.layout.slider.stepdefaults),
-                    sets the default property values to use for
-                    elements of layout.slider.steps
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                tickcolor
-                    Sets the color of the border enclosing the
-                    slider.
-                ticklen
-                    Sets the length in pixels of step tick marks
-                tickwidth
-                    Sets the tick width (in px).
-                transition
-                    :class:`plotly.graph_objects.layout.slider.Tran
-                    sition` instance or dict with compatible
-                    properties
-                visible
-                    Determines whether or not the slider is
-                    visible.
-                x
-                    Sets the x position (in normalized coordinates)
-                    of the slider.
-                xanchor
-                    Sets the slider's horizontal position anchor.
-                    This anchor binds the `x` position to the
-                    "left", "center" or "right" of the range
-                    selector.
-                y
-                    Sets the y position (in normalized coordinates)
-                    of the slider.
-                yanchor
-                    Sets the slider's vertical position anchor This
-                    anchor binds the `y` position to the "top",
-                    "middle" or "bottom" of the range selector.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.Slider]
-        """
-        return self["sliders"]
-
-    @sliders.setter
-    def sliders(self, val):
-        self["sliders"] = val
-
-    # sliderdefaults
-    # --------------
-    @property
-    def sliderdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.sliderdefaults), sets the default
-        property values to use for elements of layout.sliders
-    
-        The 'sliderdefaults' property is an instance of Slider
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Slider`
-          - A dict of string/value properties that will be passed
-            to the Slider constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Slider
-        """
-        return self["sliderdefaults"]
-
-    @sliderdefaults.setter
-    def sliderdefaults(self, val):
-        self["sliderdefaults"] = val
-
-    # spikedistance
-    # -------------
-    @property
-    def spikedistance(self):
-        """
-        Sets the default distance (in pixels) to look for data to draw
-        spikelines to (-1 means no cutoff, 0 means no looking for
-        data). As with hoverdistance, distance does not apply to area-
-        like objects. In addition, some objects can be hovered on but
-        will not generate spikelines, such as scatter fills.
-    
-        The 'spikedistance' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["spikedistance"]
-
-    @spikedistance.setter
-    def spikedistance(self, val):
-        self["spikedistance"] = val
-
-    # sunburstcolorway
-    # ----------------
-    @property
-    def sunburstcolorway(self):
-        """
-        Sets the default sunburst slice colors. Defaults to the main
-        `colorway` used for trace colors. If you specify a new list
-        here it can still be extended with lighter and darker colors,
-        see `extendsunburstcolors`.
-    
-        The 'sunburstcolorway' property is a colorlist that may be specified
-        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
-        color strings
-
-        Returns
-        -------
-        list
-        """
-        return self["sunburstcolorway"]
-
-    @sunburstcolorway.setter
-    def sunburstcolorway(self, val):
-        self["sunburstcolorway"] = val
-
-    # template
-    # --------
-    @property
-    def template(self):
-        """
-        Default attributes to be applied to the plot. This should be a
-        dict with format: `{'layout': layoutTemplate, 'data':
-        {trace_type: [traceTemplate, ...], ...}}` where
-        `layoutTemplate` is a dict matching the structure of
-        `figure.layout` and `traceTemplate` is a dict matching the
-        structure of the trace with type `trace_type` (e.g. 'scatter').
-        Alternatively, this may be specified as an instance of
-        plotly.graph_objs.layout.Template.  Trace templates are applied
-        cyclically to traces of each type. Container arrays (eg
-        `annotations`) have special handling: An object ending in
-        `defaults` (eg `annotationdefaults`) is applied to each array
-        item. But if an item has a `templateitemname` key we look in
-        the template array for an item with matching `name` and apply
-        that instead. If no matching `name` is found we mark the item
-        invisible. Any named template item not referenced is appended
-        to the end of the array, so this can be used to add a watermark
-        annotation or a logo image, for example. To omit one of these
-        items on the plot, make an item with matching
-        `templateitemname` and `visible: false`.
-    
-        The 'template' property is an instance of Template
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Template`
-          - A dict of string/value properties that will be passed
-            to the Template constructor
-    
-            Supported dict properties:
-                
-                data
-                    :class:`plotly.graph_objects.layout.template.Da
-                    ta` instance or dict with compatible properties
-                layout
-                    :class:`plotly.graph_objects.Layout` instance
-                    or dict with compatible properties
-    
-          - The name of a registered template where current registered templates
-            are stored in the plotly.io.templates configuration object. The names
-            of all registered templates can be retrieved with:
-                >>> import plotly.io as pio
-                >>> list(pio.templates)  # doctest: +ELLIPSIS
-                ['ggplot2', 'seaborn', 'simple_white', 'plotly', 'plotly_white', ...]
-    
-          - A string containing multiple registered template names, joined on '+'
-            characters (e.g. 'template1+template2'). In this case the resulting
-            template is computed by merging together the collection of registered 
-            templates
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Template
-        """
-        return self["template"]
-
-    @template.setter
-    def template(self, val):
-        self["template"] = val
-
-    # ternary
-    # -------
-    @property
-    def ternary(self):
-        """
-        The 'ternary' property is an instance of Ternary
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Ternary`
-          - A dict of string/value properties that will be passed
-            to the Ternary constructor
-    
-            Supported dict properties:
-                
-                aaxis
-                    :class:`plotly.graph_objects.layout.ternary.Aax
-                    is` instance or dict with compatible properties
-                baxis
-                    :class:`plotly.graph_objects.layout.ternary.Bax
-                    is` instance or dict with compatible properties
-                bgcolor
-                    Set the background color of the subplot
-                caxis
-                    :class:`plotly.graph_objects.layout.ternary.Cax
-                    is` instance or dict with compatible properties
-                domain
-                    :class:`plotly.graph_objects.layout.ternary.Dom
-                    ain` instance or dict with compatible
-                    properties
-                sum
-                    The number each triplet should sum to, and the
-                    maximum range of each axis
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `min` and `title`, if not overridden in
-                    the individual axes. Defaults to
-                    `layout.uirevision`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Ternary
-        """
-        return self["ternary"]
-
-    @ternary.setter
-    def ternary(self, val):
-        self["ternary"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets the title font. Note that the title's font
-                    used to be customized by the now deprecated
-                    `titlefont` attribute.
-                pad
-                    Sets the padding of the title. Each padding
-                    value only applies when the corresponding
-                    `xanchor`/`yanchor` value is set accordingly.
-                    E.g. for left padding to take effect, `xanchor`
-                    must be set to "left". The same rule applies if
-                    `xanchor`/`yanchor` is determined
-                    automatically. Padding is muted if the
-                    respective anchor value is "middle*/*center".
-                text
-                    Sets the plot's title. Note that before the
-                    existence of `title.text`, the title's contents
-                    used to be defined as the `title` attribute
-                    itself. This behavior has been deprecated.
-                x
-                    Sets the x position with respect to `xref` in
-                    normalized coordinates from 0 (left) to 1
-                    (right).
-                xanchor
-                    Sets the title's horizontal alignment with
-                    respect to its x position. "left" means that
-                    the title starts at x, "right" means that the
-                    title ends at x and "center" means that the
-                    title's center is at x. "auto" divides `xref`
-                    by three and calculates the `xanchor` value
-                    automatically based on the value of `x`.
-                xref
-                    Sets the container `x` refers to. "container"
-                    spans the entire `width` of the plot. "paper"
-                    refers to the width of the plotting area only.
-                y
-                    Sets the y position with respect to `yref` in
-                    normalized coordinates from 0 (bottom) to 1
-                    (top). "auto" places the baseline of the title
-                    onto the vertical center of the top margin.
-                yanchor
-                    Sets the title's vertical alignment with
-                    respect to its y position. "top" means that the
-                    title's cap line is at y, "bottom" means that
-                    the title's baseline is at y and "middle" means
-                    that the title's midline is at y. "auto"
-                    divides `yref` by three and calculates the
-                    `yanchor` value automatically based on the
-                    value of `y`.
-                yref
-                    Sets the container `y` refers to. "container"
-                    spans the entire `height` of the plot. "paper"
-                    refers to the height of the plotting area only.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.title.font instead. Sets the
-        title font. Note that the title's font used to be customized by
-        the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # transition
-    # ----------
-    @property
-    def transition(self):
-        """
-        Sets transition options used during Plotly.react updates.
-    
-        The 'transition' property is an instance of Transition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Transition`
-          - A dict of string/value properties that will be passed
-            to the Transition constructor
-    
-            Supported dict properties:
-                
-                duration
-                    The duration of the transition, in
-                    milliseconds. If equal to zero, updates are
-                    synchronous.
-                easing
-                    The easing function used for the transition
-                ordering
-                    Determines whether the figure's layout or
-                    traces smoothly transitions during updates that
-                    make both traces and layout change.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Transition
-        """
-        return self["transition"]
-
-    @transition.setter
-    def transition(self, val):
-        self["transition"] = val
-
-    # treemapcolorway
-    # ---------------
-    @property
-    def treemapcolorway(self):
-        """
-        Sets the default treemap slice colors. Defaults to the main
-        `colorway` used for trace colors. If you specify a new list
-        here it can still be extended with lighter and darker colors,
-        see `extendtreemapcolors`.
-    
-        The 'treemapcolorway' property is a colorlist that may be specified
-        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
-        color strings
-
-        Returns
-        -------
-        list
-        """
-        return self["treemapcolorway"]
-
-    @treemapcolorway.setter
-    def treemapcolorway(self, val):
-        self["treemapcolorway"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Used to allow user interactions with the plot to persist after
-        `Plotly.react` calls that are unaware of these interactions. If
-        `uirevision` is omitted, or if it is given and it changed from
-        the previous `Plotly.react` call, the exact new figure is used.
-        If `uirevision` is truthy and did NOT change, any attribute
-        that has been affected by user interactions and did not receive
-        a different value in the new figure will keep the interaction
-        value. `layout.uirevision` attribute serves as the default for
-        `uirevision` attributes in various sub-containers. For finer
-        control you can set these sub-attributes directly. For example,
-        if your app separately controls the data on the x and y axes
-        you might set `xaxis.uirevision=*time*` and
-        `yaxis.uirevision=*cost*`. Then if only the y data is changed,
-        you can update `yaxis.uirevision=*quantity*` and the y axis
-        range will reset but the x axis range will retain any user-
-        driven zoom.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # uniformtext
-    # -----------
-    @property
-    def uniformtext(self):
-        """
-        The 'uniformtext' property is an instance of Uniformtext
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Uniformtext`
-          - A dict of string/value properties that will be passed
-            to the Uniformtext constructor
-    
-            Supported dict properties:
-                
-                minsize
-                    Sets the minimum text size between traces of
-                    the same type.
-                mode
-                    Determines how the font size for various text
-                    elements are uniformed between each trace type.
-                    If the computed text sizes were smaller than
-                    the minimum size defined by
-                    `uniformtext.minsize` using "hide" option hides
-                    the text; and using "show" option shows the
-                    text without further downscaling. Please note
-                    that if the size defined by `minsize` is
-                    greater than the font size defined by trace,
-                    then the `minsize` is used.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Uniformtext
-        """
-        return self["uniformtext"]
-
-    @uniformtext.setter
-    def uniformtext(self, val):
-        self["uniformtext"] = val
-
-    # updatemenus
-    # -----------
-    @property
-    def updatemenus(self):
-        """
-        The 'updatemenus' property is a tuple of instances of
-        Updatemenu that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.Updatemenu
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Updatemenu constructor
-    
-            Supported dict properties:
-                
-                active
-                    Determines which button (by index starting from
-                    0) is considered active.
-                bgcolor
-                    Sets the background color of the update menu
-                    buttons.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    update menu.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the update menu.
-                buttons
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    updatemenu.Button` instances or dicts with
-                    compatible properties
-                buttondefaults
-                    When used in a template (as layout.template.lay
-                    out.updatemenu.buttondefaults), sets the
-                    default property values to use for elements of
-                    layout.updatemenu.buttons
-                direction
-                    Determines the direction in which the buttons
-                    are laid out, whether in a dropdown menu or a
-                    row/column of buttons. For `left` and `up`, the
-                    buttons will still appear in left-to-right or
-                    top-to-bottom order respectively.
-                font
-                    Sets the font of the update menu button text.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                pad
-                    Sets the padding around the buttons or dropdown
-                    menu.
-                showactive
-                    Highlights active dropdown item or active
-                    button if true.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                type
-                    Determines whether the buttons are accessible
-                    via a dropdown menu or whether the buttons are
-                    stacked horizontally or vertically
-                visible
-                    Determines whether or not the update menu is
-                    visible.
-                x
-                    Sets the x position (in normalized coordinates)
-                    of the update menu.
-                xanchor
-                    Sets the update menu's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the range
-                    selector.
-                y
-                    Sets the y position (in normalized coordinates)
-                    of the update menu.
-                yanchor
-                    Sets the update menu's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the range
-                    selector.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.Updatemenu]
-        """
-        return self["updatemenus"]
-
-    @updatemenus.setter
-    def updatemenus(self, val):
-        self["updatemenus"] = val
-
-    # updatemenudefaults
-    # ------------------
-    @property
-    def updatemenudefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.updatemenudefaults), sets the default
-        property values to use for elements of layout.updatemenus
-    
-        The 'updatemenudefaults' property is an instance of Updatemenu
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.Updatemenu`
-          - A dict of string/value properties that will be passed
-            to the Updatemenu constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.Updatemenu
-        """
-        return self["updatemenudefaults"]
-
-    @updatemenudefaults.setter
-    def updatemenudefaults(self, val):
-        self["updatemenudefaults"] = val
-
-    # violingap
-    # ---------
-    @property
-    def violingap(self):
-        """
-        Sets the gap (in plot fraction) between violins of adjacent
-        location coordinates. Has no effect on traces that have "width"
-        set.
-    
-        The 'violingap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["violingap"]
-
-    @violingap.setter
-    def violingap(self, val):
-        self["violingap"] = val
-
-    # violingroupgap
-    # --------------
-    @property
-    def violingroupgap(self):
-        """
-        Sets the gap (in plot fraction) between violins of the same
-        location coordinate. Has no effect on traces that have "width"
-        set.
-    
-        The 'violingroupgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["violingroupgap"]
-
-    @violingroupgap.setter
-    def violingroupgap(self, val):
-        self["violingroupgap"] = val
-
-    # violinmode
-    # ----------
-    @property
-    def violinmode(self):
-        """
-        Determines how violins at the same location coordinate are
-        displayed on the graph. If "group", the violins are plotted
-        next to one another centered around the shared location. If
-        "overlay", the violins are plotted over one another, you might
-        need to set "opacity" to see them multiple violins. Has no
-        effect on traces that have "width" set.
-    
-        The 'violinmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['group', 'overlay']
-
-        Returns
-        -------
-        Any
-        """
-        return self["violinmode"]
-
-    @violinmode.setter
-    def violinmode(self, val):
-        self["violinmode"] = val
-
-    # waterfallgap
-    # ------------
-    @property
-    def waterfallgap(self):
-        """
-        Sets the gap (in plot fraction) between bars of adjacent
-        location coordinates.
-    
-        The 'waterfallgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["waterfallgap"]
-
-    @waterfallgap.setter
-    def waterfallgap(self, val):
-        self["waterfallgap"] = val
-
-    # waterfallgroupgap
-    # -----------------
-    @property
-    def waterfallgroupgap(self):
-        """
-        Sets the gap (in plot fraction) between bars of the same
-        location coordinate.
-    
-        The 'waterfallgroupgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["waterfallgroupgap"]
-
-    @waterfallgroupgap.setter
-    def waterfallgroupgap(self, val):
-        self["waterfallgroupgap"] = val
-
-    # waterfallmode
-    # -------------
-    @property
-    def waterfallmode(self):
-        """
-        Determines how bars at the same location coordinate are
-        displayed on the graph. With "group", the bars are plotted next
-        to one another centered around the shared location. With
-        "overlay", the bars are plotted over one another, you might
-        need to an "opacity" to see multiple bars.
-    
-        The 'waterfallmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['group', 'overlay']
-
-        Returns
-        -------
-        Any
-        """
-        return self["waterfallmode"]
-
-    @waterfallmode.setter
-    def waterfallmode(self, val):
-        self["waterfallmode"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the plot's width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [10, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        The 'xaxis' property is an instance of XAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.XAxis`
-          - A dict of string/value properties that will be passed
-            to the XAxis constructor
-    
-            Supported dict properties:
-                
-                anchor
-                    If set to an opposite-letter axis id (e.g.
-                    `x2`, `y`), this axis is bound to the
-                    corresponding opposite-letter axis. If set to
-                    "free", this axis' position is determined by
-                    `position`.
-                automargin
-                    Determines whether long tick labels
-                    automatically grow the figure margins.
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                calendar
-                    Sets the calendar system to use for `range` and
-                    `tick0` if this is a date axis. This does not
-                    set the calendar for interpreting data on this
-                    axis, that's specified in the trace or via the
-                    global `layout.calendar`
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                constrain
-                    If this axis needs to be compressed (either due
-                    to its own `scaleanchor` and `scaleratio` or
-                    those of the other axis), determines how that
-                    happens: by increasing the "range" (default),
-                    or by decreasing the "domain".
-                constraintoward
-                    If this axis needs to be compressed (either due
-                    to its own `scaleanchor` and `scaleratio` or
-                    those of the other axis), determines which
-                    direction we push the originally specified plot
-                    area. Options are "left", "center" (default),
-                    and "right" for x axes, and "top", "middle"
-                    (default), and "bottom" for y axes.
-                dividercolor
-                    Sets the color of the dividers Only has an
-                    effect on "multicategory" axes.
-                dividerwidth
-                    Sets the width (in px) of the dividers Only has
-                    an effect on "multicategory" axes.
-                domain
-                    Sets the domain of this axis (in plot
-                    fraction).
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                fixedrange
-                    Determines whether or not this axis is zoom-
-                    able. If true, then zoom is disabled.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                matches
-                    If set to another axis id (e.g. `x2`, `y`), the
-                    range of this axis will match the range of the
-                    corresponding axis in data-coordinates space.
-                    Moreover, matching axes share auto-range
-                    values, category lists and histogram auto-bins.
-                    Note that setting axes simultaneously in both a
-                    `scaleanchor` and a `matches` constraint is
-                    currently forbidden. Moreover, note that
-                    matching axes must have the same `type`.
-                mirror
-                    Determines if the axis lines or/and ticks are
-                    mirrored to the opposite side of the plotting
-                    area. If True, the axis lines are mirrored. If
-                    "ticks", the axis lines and ticks are mirrored.
-                    If False, mirroring is disable. If "all", axis
-                    lines are mirrored on all shared-axes subplots.
-                    If "allticks", axis lines and ticks are
-                    mirrored on all shared-axes subplots.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                overlaying
-                    If set a same-letter axis id, this axis is
-                    overlaid on top of the corresponding same-
-                    letter axis, with traces and axes visible for
-                    both axes. If False, this axis does not overlay
-                    any same-letter axes. In this case, for axes
-                    with overlapping domains only the highest-
-                    numbered axis will be visible.
-                position
-                    Sets the position of this axis in the plotting
-                    space (in normalized coordinates). Only has an
-                    effect if `anchor` is set to "free".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangebreaks
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    xaxis.Rangebreak` instances or dicts with
-                    compatible properties
-                rangebreakdefaults
-                    When used in a template (as layout.template.lay
-                    out.xaxis.rangebreakdefaults), sets the default
-                    property values to use for elements of
-                    layout.xaxis.rangebreaks
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data. Applies
-                    only to linear axes.
-                rangeselector
-                    :class:`plotly.graph_objects.layout.xaxis.Range
-                    selector` instance or dict with compatible
-                    properties
-                rangeslider
-                    :class:`plotly.graph_objects.layout.xaxis.Range
-                    slider` instance or dict with compatible
-                    properties
-                scaleanchor
-                    If set to another axis id (e.g. `x2`, `y`), the
-                    range of this axis changes together with the
-                    range of the corresponding axis such that the
-                    scale of pixels per unit is in a constant
-                    ratio. Both axes are still zoomable, but when
-                    you zoom one, the other will zoom the same
-                    amount, keeping a fixed midpoint. `constrain`
-                    and `constraintoward` determine how we enforce
-                    the constraint. You can chain these, ie `yaxis:
-                    {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
-                    but you can only link axes of the same `type`.
-                    The linked axis can have the opposite letter
-                    (to constrain the aspect ratio) or the same
-                    letter (to match scales across subplots). Loops
-                    (`yaxis: {scaleanchor: *x*}, xaxis:
-                    {scaleanchor: *y*}` or longer) are redundant
-                    and the last constraint encountered will be
-                    ignored to avoid possible inconsistent
-                    constraints via `scaleratio`. Note that setting
-                    axes simultaneously in both a `scaleanchor` and
-                    a `matches` constraint is currently forbidden.
-                scaleratio
-                    If this axis is linked to another by
-                    `scaleanchor`, this determines the pixel to
-                    unit scale ratio. For example, if this value is
-                    10, then every unit on this axis spans 10 times
-                    the number of pixels as a unit on the linked
-                    axis. Use this for example to create an
-                    elevation profile where the vertical scale is
-                    exaggerated a fixed amount with respect to the
-                    horizontal.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showdividers
-                    Determines whether or not a dividers are drawn
-                    between the category levels of this axis. Only
-                    has an effect on "multicategory" axes.
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showspikes
-                    Determines whether or not spikes (aka
-                    droplines) are drawn for this axis. Note: This
-                    only takes affect when hovermode = closest
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                side
-                    Determines whether a x (y) axis is positioned
-                    at the "bottom" ("left") or "top" ("right") of
-                    the plotting area.
-                spikecolor
-                    Sets the spike color. If undefined, will use
-                    the series color
-                spikedash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                spikemode
-                    Determines the drawing mode for the spike line
-                    If "toaxis", the line is drawn from the data
-                    point to the axis the  series is plotted on. If
-                    "across", the line is drawn across the entire
-                    plot area, and supercedes "toaxis". If
-                    "marker", then a marker dot is drawn on the
-                    axis the series is plotted on
-                spikesnap
-                    Determines whether spikelines are stuck to the
-                    cursor or to the closest datapoints.
-                spikethickness
-                    Sets the width (in px) of the zero line.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    xaxis.Tickformatstop` instances or dicts with
-                    compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.xaxis.tickformatstopdefaults), sets the
-                    default property values to use for elements of
-                    layout.xaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                tickson
-                    Determines where ticks and grid lines are drawn
-                    with respect to their corresponding tick
-                    labels. Only has an effect for axes of `type`
-                    "category" or "multicategory". When set to
-                    "boundaries", ticks and grid lines are drawn
-                    half a category to the left/bottom of labels.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.xaxis.Title
-                    ` instance or dict with compatible properties
-                titlefont
-                    Deprecated: Please use layout.xaxis.title.font
-                    instead. Sets this axis' title font. Note that
-                    the title's font used to be customized by the
-                    now deprecated `titlefont` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `range`, `autorange`, and `title` if in
-                    `editable: true` configuration. Defaults to
-                    `layout.uirevision`.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-                zeroline
-                    Determines whether or not a line is drawn at
-                    along the 0 value of this axis. If True, the
-                    zero line is drawn on top of the grid lines.
-                zerolinecolor
-                    Sets the line color of the zero line.
-                zerolinewidth
-                    Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.XAxis
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        The 'yaxis' property is an instance of YAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.YAxis`
-          - A dict of string/value properties that will be passed
-            to the YAxis constructor
-    
-            Supported dict properties:
-                
-                anchor
-                    If set to an opposite-letter axis id (e.g.
-                    `x2`, `y`), this axis is bound to the
-                    corresponding opposite-letter axis. If set to
-                    "free", this axis' position is determined by
-                    `position`.
-                automargin
-                    Determines whether long tick labels
-                    automatically grow the figure margins.
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                calendar
-                    Sets the calendar system to use for `range` and
-                    `tick0` if this is a date axis. This does not
-                    set the calendar for interpreting data on this
-                    axis, that's specified in the trace or via the
-                    global `layout.calendar`
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                constrain
-                    If this axis needs to be compressed (either due
-                    to its own `scaleanchor` and `scaleratio` or
-                    those of the other axis), determines how that
-                    happens: by increasing the "range" (default),
-                    or by decreasing the "domain".
-                constraintoward
-                    If this axis needs to be compressed (either due
-                    to its own `scaleanchor` and `scaleratio` or
-                    those of the other axis), determines which
-                    direction we push the originally specified plot
-                    area. Options are "left", "center" (default),
-                    and "right" for x axes, and "top", "middle"
-                    (default), and "bottom" for y axes.
-                dividercolor
-                    Sets the color of the dividers Only has an
-                    effect on "multicategory" axes.
-                dividerwidth
-                    Sets the width (in px) of the dividers Only has
-                    an effect on "multicategory" axes.
-                domain
-                    Sets the domain of this axis (in plot
-                    fraction).
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                fixedrange
-                    Determines whether or not this axis is zoom-
-                    able. If true, then zoom is disabled.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                matches
-                    If set to another axis id (e.g. `x2`, `y`), the
-                    range of this axis will match the range of the
-                    corresponding axis in data-coordinates space.
-                    Moreover, matching axes share auto-range
-                    values, category lists and histogram auto-bins.
-                    Note that setting axes simultaneously in both a
-                    `scaleanchor` and a `matches` constraint is
-                    currently forbidden. Moreover, note that
-                    matching axes must have the same `type`.
-                mirror
-                    Determines if the axis lines or/and ticks are
-                    mirrored to the opposite side of the plotting
-                    area. If True, the axis lines are mirrored. If
-                    "ticks", the axis lines and ticks are mirrored.
-                    If False, mirroring is disable. If "all", axis
-                    lines are mirrored on all shared-axes subplots.
-                    If "allticks", axis lines and ticks are
-                    mirrored on all shared-axes subplots.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                overlaying
-                    If set a same-letter axis id, this axis is
-                    overlaid on top of the corresponding same-
-                    letter axis, with traces and axes visible for
-                    both axes. If False, this axis does not overlay
-                    any same-letter axes. In this case, for axes
-                    with overlapping domains only the highest-
-                    numbered axis will be visible.
-                position
-                    Sets the position of this axis in the plotting
-                    space (in normalized coordinates). Only has an
-                    effect if `anchor` is set to "free".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangebreaks
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    yaxis.Rangebreak` instances or dicts with
-                    compatible properties
-                rangebreakdefaults
-                    When used in a template (as layout.template.lay
-                    out.yaxis.rangebreakdefaults), sets the default
-                    property values to use for elements of
-                    layout.yaxis.rangebreaks
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data. Applies
-                    only to linear axes.
-                scaleanchor
-                    If set to another axis id (e.g. `x2`, `y`), the
-                    range of this axis changes together with the
-                    range of the corresponding axis such that the
-                    scale of pixels per unit is in a constant
-                    ratio. Both axes are still zoomable, but when
-                    you zoom one, the other will zoom the same
-                    amount, keeping a fixed midpoint. `constrain`
-                    and `constraintoward` determine how we enforce
-                    the constraint. You can chain these, ie `yaxis:
-                    {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
-                    but you can only link axes of the same `type`.
-                    The linked axis can have the opposite letter
-                    (to constrain the aspect ratio) or the same
-                    letter (to match scales across subplots). Loops
-                    (`yaxis: {scaleanchor: *x*}, xaxis:
-                    {scaleanchor: *y*}` or longer) are redundant
-                    and the last constraint encountered will be
-                    ignored to avoid possible inconsistent
-                    constraints via `scaleratio`. Note that setting
-                    axes simultaneously in both a `scaleanchor` and
-                    a `matches` constraint is currently forbidden.
-                scaleratio
-                    If this axis is linked to another by
-                    `scaleanchor`, this determines the pixel to
-                    unit scale ratio. For example, if this value is
-                    10, then every unit on this axis spans 10 times
-                    the number of pixels as a unit on the linked
-                    axis. Use this for example to create an
-                    elevation profile where the vertical scale is
-                    exaggerated a fixed amount with respect to the
-                    horizontal.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showdividers
-                    Determines whether or not a dividers are drawn
-                    between the category levels of this axis. Only
-                    has an effect on "multicategory" axes.
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showspikes
-                    Determines whether or not spikes (aka
-                    droplines) are drawn for this axis. Note: This
-                    only takes affect when hovermode = closest
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                side
-                    Determines whether a x (y) axis is positioned
-                    at the "bottom" ("left") or "top" ("right") of
-                    the plotting area.
-                spikecolor
-                    Sets the spike color. If undefined, will use
-                    the series color
-                spikedash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                spikemode
-                    Determines the drawing mode for the spike line
-                    If "toaxis", the line is drawn from the data
-                    point to the axis the  series is plotted on. If
-                    "across", the line is drawn across the entire
-                    plot area, and supercedes "toaxis". If
-                    "marker", then a marker dot is drawn on the
-                    axis the series is plotted on
-                spikesnap
-                    Determines whether spikelines are stuck to the
-                    cursor or to the closest datapoints.
-                spikethickness
-                    Sets the width (in px) of the zero line.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    yaxis.Tickformatstop` instances or dicts with
-                    compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.yaxis.tickformatstopdefaults), sets the
-                    default property values to use for elements of
-                    layout.yaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                tickson
-                    Determines where ticks and grid lines are drawn
-                    with respect to their corresponding tick
-                    labels. Only has an effect for axes of `type`
-                    "category" or "multicategory". When set to
-                    "boundaries", ticks and grid lines are drawn
-                    half a category to the left/bottom of labels.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.yaxis.Title
-                    ` instance or dict with compatible properties
-                titlefont
-                    Deprecated: Please use layout.yaxis.title.font
-                    instead. Sets this axis' title font. Note that
-                    the title's font used to be customized by the
-                    now deprecated `titlefont` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `range`, `autorange`, and `title` if in
-                    `editable: true` configuration. Defaults to
-                    `layout.uirevision`.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-                zeroline
-                    Determines whether or not a line is drawn at
-                    along the 0 value of this axis. If True, the
-                    zero line is drawn on top of the grid lines.
-                zerolinecolor
-                    Sets the line color of the zero line.
-                zerolinewidth
-                    Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.YAxis
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        angularaxis
-            :class:`plotly.graph_objects.layout.AngularAxis`
-            instance or dict with compatible properties
-        annotations
-            A tuple of
-            :class:`plotly.graph_objects.layout.Annotation`
-            instances or dicts with compatible properties
-        annotationdefaults
-            When used in a template (as
-            layout.template.layout.annotationdefaults), sets the
-            default property values to use for elements of
-            layout.annotations
-        autosize
-            Determines whether or not a layout width or height that
-            has been left undefined by the user is initialized on
-            each relayout. Note that, regardless of this attribute,
-            an undefined layout width or height is always
-            initialized on the first call to plot.
-        bargap
-            Sets the gap (in plot fraction) between bars of
-            adjacent location coordinates.
-        bargroupgap
-            Sets the gap (in plot fraction) between bars of the
-            same location coordinate.
-        barmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "stack", the bars are
-            stacked on top of one another With "relative", the bars
-            are stacked on top of one another, with negative values
-            below the axis, positive values above With "group", the
-            bars are plotted next to one another centered around
-            the shared location. With "overlay", the bars are
-            plotted over one another, you might need to an
-            "opacity" to see multiple bars.
-        barnorm
-            Sets the normalization for bar traces on the graph.
-            With "fraction", the value of each bar is divided by
-            the sum of all values at that location coordinate.
-            "percent" is the same but multiplied by 100 to show
-            percentages.
-        boxgap
-            Sets the gap (in plot fraction) between boxes of
-            adjacent location coordinates. Has no effect on traces
-            that have "width" set.
-        boxgroupgap
-            Sets the gap (in plot fraction) between boxes of the
-            same location coordinate. Has no effect on traces that
-            have "width" set.
-        boxmode
-            Determines how boxes at the same location coordinate
-            are displayed on the graph. If "group", the boxes are
-            plotted next to one another centered around the shared
-            location. If "overlay", the boxes are plotted over one
-            another, you might need to set "opacity" to see them
-            multiple boxes. Has no effect on traces that have
-            "width" set.
-        calendar
-            Sets the default calendar system to use for
-            interpreting and displaying dates throughout the plot.
-        clickmode
-            Determines the mode of single click interactions.
-            "event" is the default value and emits the
-            `plotly_click` event. In addition this mode emits the
-            `plotly_selected` event in drag modes "lasso" and
-            "select", but with no event data attached (kept for
-            compatibility reasons). The "select" flag enables
-            selecting single data points via click. This mode also
-            supports persistent selections, meaning that pressing
-            Shift while clicking, adds to / subtracts from an
-            existing selection. "select" with `hovermode`: "x" can
-            be confusing, consider explicitly setting `hovermode`:
-            "closest" when using this feature. Selection events are
-            sent accordingly as long as "event" flag is set as
-            well. When the "event" flag is missing, `plotly_click`
-            and `plotly_selected` events are not fired.
-        coloraxis
-            :class:`plotly.graph_objects.layout.Coloraxis` instance
-            or dict with compatible properties
-        colorscale
-            :class:`plotly.graph_objects.layout.Colorscale`
-            instance or dict with compatible properties
-        colorway
-            Sets the default trace colors.
-        datarevision
-            If provided, a changed value tells `Plotly.react` that
-            one or more data arrays has changed. This way you can
-            modify arrays in-place rather than making a complete
-            new copy for an incremental change. If NOT provided,
-            `Plotly.react` assumes that data arrays are being
-            treated as immutable, thus any data array with a
-            different identity from its predecessor contains new
-            data.
-        direction
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the direction corresponding to
-            positive angles in legacy polar charts.
-        dragmode
-            Determines the mode of drag interactions. "select" and
-            "lasso" apply only to scatter traces with markers or
-            text. "orbit" and "turntable" apply only to 3D scenes.
-        editrevision
-            Controls persistence of user-driven changes in
-            `editable: true` configuration, other than trace names
-            and axis titles. Defaults to `layout.uirevision`.
-        extendfunnelareacolors
-            If `true`, the funnelarea slice colors (whether given
-            by `funnelareacolorway` or inherited from `colorway`)
-            will be extended to three times its original length by
-            first repeating every color 20% lighter then each color
-            20% darker. This is intended to reduce the likelihood
-            of reusing the same color when you have many slices,
-            but you can set `false` to disable. Colors provided in
-            the trace, using `marker.colors`, are never extended.
-        extendpiecolors
-            If `true`, the pie slice colors (whether given by
-            `piecolorway` or inherited from `colorway`) will be
-            extended to three times its original length by first
-            repeating every color 20% lighter then each color 20%
-            darker. This is intended to reduce the likelihood of
-            reusing the same color when you have many slices, but
-            you can set `false` to disable. Colors provided in the
-            trace, using `marker.colors`, are never extended.
-        extendsunburstcolors
-            If `true`, the sunburst slice colors (whether given by
-            `sunburstcolorway` or inherited from `colorway`) will
-            be extended to three times its original length by first
-            repeating every color 20% lighter then each color 20%
-            darker. This is intended to reduce the likelihood of
-            reusing the same color when you have many slices, but
-            you can set `false` to disable. Colors provided in the
-            trace, using `marker.colors`, are never extended.
-        extendtreemapcolors
-            If `true`, the treemap slice colors (whether given by
-            `treemapcolorway` or inherited from `colorway`) will be
-            extended to three times its original length by first
-            repeating every color 20% lighter then each color 20%
-            darker. This is intended to reduce the likelihood of
-            reusing the same color when you have many slices, but
-            you can set `false` to disable. Colors provided in the
-            trace, using `marker.colors`, are never extended.
-        font
-            Sets the global font. Note that fonts used in traces
-            and other layout components inherit from the global
-            font.
-        funnelareacolorway
-            Sets the default funnelarea slice colors. Defaults to
-            the main `colorway` used for trace colors. If you
-            specify a new list here it can still be extended with
-            lighter and darker colors, see
-            `extendfunnelareacolors`.
-        funnelgap
-            Sets the gap (in plot fraction) between bars of
-            adjacent location coordinates.
-        funnelgroupgap
-            Sets the gap (in plot fraction) between bars of the
-            same location coordinate.
-        funnelmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "stack", the bars are
-            stacked on top of one another With "group", the bars
-            are plotted next to one another centered around the
-            shared location. With "overlay", the bars are plotted
-            over one another, you might need to an "opacity" to see
-            multiple bars.
-        geo
-            :class:`plotly.graph_objects.layout.Geo` instance or
-            dict with compatible properties
-        grid
-            :class:`plotly.graph_objects.layout.Grid` instance or
-            dict with compatible properties
-        height
-            Sets the plot's height (in px).
-        hiddenlabels
-            hiddenlabels is the funnelarea & pie chart analog of
-            visible:'legendonly' but it can contain many labels,
-            and can simultaneously hide slices from several
-            pies/funnelarea charts
-        hiddenlabelssrc
-            Sets the source reference on Chart Studio Cloud for
-            hiddenlabels .
-        hidesources
-            Determines whether or not a text link citing the data
-            source is placed at the bottom-right cored of the
-            figure. Has only an effect only on graphs that have
-            been generated via forked graphs from the Chart Studio
-            Cloud (at https://chart-studio.plotly.com or on-
-            premise).
-        hoverdistance
-            Sets the default distance (in pixels) to look for data
-            to add hover labels (-1 means no cutoff, 0 means no
-            looking for data). This is only a real distance for
-            hovering on point-like objects, like scatter points.
-            For area-like objects (bars, scatter fills, etc)
-            hovering is on inside the area and off outside, but
-            these objects will not supersede hover on point-like
-            objects in case of conflict.
-        hoverlabel
-            :class:`plotly.graph_objects.layout.Hoverlabel`
-            instance or dict with compatible properties
-        hovermode
-            Determines the mode of hover interactions. If
-            "closest", a single hoverlabel will appear for the
-            "closest" point within the `hoverdistance`. If "x" (or
-            "y"), multiple hoverlabels will appear for multiple
-            points at the "closest" x- (or y-) coordinate within
-            the `hoverdistance`, with the caveat that no more than
-            one hoverlabel will appear per trace. If *x unified*
-            (or *y unified*), a single hoverlabel will appear
-            multiple points at the closest x- (or y-) coordinate
-            within the `hoverdistance` with the caveat that no more
-            than one hoverlabel will appear per trace. In this
-            mode, spikelines are enabled by default perpendicular
-            to the specified axis. If false, hover interactions are
-            disabled. If `clickmode` includes the "select" flag,
-            `hovermode` defaults to "closest". If `clickmode` lacks
-            the "select" flag, it defaults to "x" or "y" (depending
-            on the trace's `orientation` value) for plots based on
-            cartesian coordinates. For anything else the default
-            value is "closest".
-        images
-            A tuple of :class:`plotly.graph_objects.layout.Image`
-            instances or dicts with compatible properties
-        imagedefaults
-            When used in a template (as
-            layout.template.layout.imagedefaults), sets the default
-            property values to use for elements of layout.images
-        legend
-            :class:`plotly.graph_objects.layout.Legend` instance or
-            dict with compatible properties
-        mapbox
-            :class:`plotly.graph_objects.layout.Mapbox` instance or
-            dict with compatible properties
-        margin
-            :class:`plotly.graph_objects.layout.Margin` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information that can be used in
-            various `text` attributes. Attributes such as the
-            graph, axis and colorbar `title.text`, annotation
-            `text` `trace.name` in legend items, `rangeselector`,
-            `updatemenus` and `sliders` `label` text all support
-            `meta`. One can access `meta` fields using template
-            strings: `%{meta[i]}` where `i` is the index of the
-            `meta` item in question. `meta` can also be an object
-            for example `{key: value}` which can be accessed
-            %{meta[key]}.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        modebar
-            :class:`plotly.graph_objects.layout.Modebar` instance
-            or dict with compatible properties
-        orientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Rotates the entire polar by the given
-            angle in legacy polar charts.
-        paper_bgcolor
-            Sets the background color of the paper where the graph
-            is drawn.
-        piecolorway
-            Sets the default pie slice colors. Defaults to the main
-            `colorway` used for trace colors. If you specify a new
-            list here it can still be extended with lighter and
-            darker colors, see `extendpiecolors`.
-        plot_bgcolor
-            Sets the background color of the plotting area in-
-            between x and y axes.
-        polar
-            :class:`plotly.graph_objects.layout.Polar` instance or
-            dict with compatible properties
-        radialaxis
-            :class:`plotly.graph_objects.layout.RadialAxis`
-            instance or dict with compatible properties
-        scene
-            :class:`plotly.graph_objects.layout.Scene` instance or
-            dict with compatible properties
-        selectdirection
-            When "dragmode" is set to "select", this limits the
-            selection of the drag to horizontal, vertical or
-            diagonal. "h" only allows horizontal selection, "v"
-            only vertical, "d" only diagonal and "any" sets no
-            limit.
-        selectionrevision
-            Controls persistence of user-driven changes in selected
-            points from all traces.
-        separators
-            Sets the decimal and thousand separators. For example,
-            *. * puts a '.' before decimals and a space between
-            thousands. In English locales, dflt is ".," but other
-            locales may alter this default.
-        shapes
-            A tuple of :class:`plotly.graph_objects.layout.Shape`
-            instances or dicts with compatible properties
-        shapedefaults
-            When used in a template (as
-            layout.template.layout.shapedefaults), sets the default
-            property values to use for elements of layout.shapes
-        showlegend
-            Determines whether or not a legend is drawn. Default is
-            `true` if there is a trace to show and any of these: a)
-            Two or more traces would by default be shown in the
-            legend. b) One pie trace is shown in the legend. c) One
-            trace is explicitly given with `showlegend: true`.
-        sliders
-            A tuple of :class:`plotly.graph_objects.layout.Slider`
-            instances or dicts with compatible properties
-        sliderdefaults
-            When used in a template (as
-            layout.template.layout.sliderdefaults), sets the
-            default property values to use for elements of
-            layout.sliders
-        spikedistance
-            Sets the default distance (in pixels) to look for data
-            to draw spikelines to (-1 means no cutoff, 0 means no
-            looking for data). As with hoverdistance, distance does
-            not apply to area-like objects. In addition, some
-            objects can be hovered on but will not generate
-            spikelines, such as scatter fills.
-        sunburstcolorway
-            Sets the default sunburst slice colors. Defaults to the
-            main `colorway` used for trace colors. If you specify a
-            new list here it can still be extended with lighter and
-            darker colors, see `extendsunburstcolors`.
-        template
-            Default attributes to be applied to the plot. This
-            should be a dict with format: `{'layout':
-            layoutTemplate, 'data': {trace_type: [traceTemplate,
-            ...], ...}}` where `layoutTemplate` is a dict matching
-            the structure of `figure.layout` and `traceTemplate` is
-            a dict matching the structure of the trace with type
-            `trace_type` (e.g. 'scatter'). Alternatively, this may
-            be specified as an instance of
-            plotly.graph_objs.layout.Template.  Trace templates are
-            applied cyclically to traces of each type. Container
-            arrays (eg `annotations`) have special handling: An
-            object ending in `defaults` (eg `annotationdefaults`)
-            is applied to each array item. But if an item has a
-            `templateitemname` key we look in the template array
-            for an item with matching `name` and apply that
-            instead. If no matching `name` is found we mark the
-            item invisible. Any named template item not referenced
-            is appended to the end of the array, so this can be
-            used to add a watermark annotation or a logo image, for
-            example. To omit one of these items on the plot, make
-            an item with matching `templateitemname` and `visible:
-            false`.
-        ternary
-            :class:`plotly.graph_objects.layout.Ternary` instance
-            or dict with compatible properties
-        title
-            :class:`plotly.graph_objects.layout.Title` instance or
-            dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.title.font instead. Sets
-            the title font. Note that the title's font used to be
-            customized by the now deprecated `titlefont` attribute.
-        transition
-            Sets transition options used during Plotly.react
-            updates.
-        treemapcolorway
-            Sets the default treemap slice colors. Defaults to the
-            main `colorway` used for trace colors. If you specify a
-            new list here it can still be extended with lighter and
-            darker colors, see `extendtreemapcolors`.
-        uirevision
-            Used to allow user interactions with the plot to
-            persist after `Plotly.react` calls that are unaware of
-            these interactions. If `uirevision` is omitted, or if
-            it is given and it changed from the previous
-            `Plotly.react` call, the exact new figure is used. If
-            `uirevision` is truthy and did NOT change, any
-            attribute that has been affected by user interactions
-            and did not receive a different value in the new figure
-            will keep the interaction value. `layout.uirevision`
-            attribute serves as the default for `uirevision`
-            attributes in various sub-containers. For finer control
-            you can set these sub-attributes directly. For example,
-            if your app separately controls the data on the x and y
-            axes you might set `xaxis.uirevision=*time*` and
-            `yaxis.uirevision=*cost*`. Then if only the y data is
-            changed, you can update `yaxis.uirevision=*quantity*`
-            and the y axis range will reset but the x axis range
-            will retain any user-driven zoom.
-        uniformtext
-            :class:`plotly.graph_objects.layout.Uniformtext`
-            instance or dict with compatible properties
-        updatemenus
-            A tuple of
-            :class:`plotly.graph_objects.layout.Updatemenu`
-            instances or dicts with compatible properties
-        updatemenudefaults
-            When used in a template (as
-            layout.template.layout.updatemenudefaults), sets the
-            default property values to use for elements of
-            layout.updatemenus
-        violingap
-            Sets the gap (in plot fraction) between violins of
-            adjacent location coordinates. Has no effect on traces
-            that have "width" set.
-        violingroupgap
-            Sets the gap (in plot fraction) between violins of the
-            same location coordinate. Has no effect on traces that
-            have "width" set.
-        violinmode
-            Determines how violins at the same location coordinate
-            are displayed on the graph. If "group", the violins are
-            plotted next to one another centered around the shared
-            location. If "overlay", the violins are plotted over
-            one another, you might need to set "opacity" to see
-            them multiple violins. Has no effect on traces that
-            have "width" set.
-        waterfallgap
-            Sets the gap (in plot fraction) between bars of
-            adjacent location coordinates.
-        waterfallgroupgap
-            Sets the gap (in plot fraction) between bars of the
-            same location coordinate.
-        waterfallmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "group", the bars are
-            plotted next to one another centered around the shared
-            location. With "overlay", the bars are plotted over one
-            another, you might need to an "opacity" to see multiple
-            bars.
-        width
-            Sets the plot's width (in px).
-        xaxis
-            :class:`plotly.graph_objects.layout.XAxis` instance or
-            dict with compatible properties
-        yaxis
-            :class:`plotly.graph_objects.layout.YAxis` instance or
-            dict with compatible properties
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        angularaxis=None,
-        annotations=None,
-        annotationdefaults=None,
-        autosize=None,
-        bargap=None,
-        bargroupgap=None,
-        barmode=None,
-        barnorm=None,
-        boxgap=None,
-        boxgroupgap=None,
-        boxmode=None,
-        calendar=None,
-        clickmode=None,
-        coloraxis=None,
-        colorscale=None,
-        colorway=None,
-        datarevision=None,
-        direction=None,
-        dragmode=None,
-        editrevision=None,
-        extendfunnelareacolors=None,
-        extendpiecolors=None,
-        extendsunburstcolors=None,
-        extendtreemapcolors=None,
-        font=None,
-        funnelareacolorway=None,
-        funnelgap=None,
-        funnelgroupgap=None,
-        funnelmode=None,
-        geo=None,
-        grid=None,
-        height=None,
-        hiddenlabels=None,
-        hiddenlabelssrc=None,
-        hidesources=None,
-        hoverdistance=None,
-        hoverlabel=None,
-        hovermode=None,
-        images=None,
-        imagedefaults=None,
-        legend=None,
-        mapbox=None,
-        margin=None,
-        meta=None,
-        metasrc=None,
-        modebar=None,
-        orientation=None,
-        paper_bgcolor=None,
-        piecolorway=None,
-        plot_bgcolor=None,
-        polar=None,
-        radialaxis=None,
-        scene=None,
-        selectdirection=None,
-        selectionrevision=None,
-        separators=None,
-        shapes=None,
-        shapedefaults=None,
-        showlegend=None,
-        sliders=None,
-        sliderdefaults=None,
-        spikedistance=None,
-        sunburstcolorway=None,
-        template=None,
-        ternary=None,
-        title=None,
-        titlefont=None,
-        transition=None,
-        treemapcolorway=None,
-        uirevision=None,
-        uniformtext=None,
-        updatemenus=None,
-        updatemenudefaults=None,
-        violingap=None,
-        violingroupgap=None,
-        violinmode=None,
-        waterfallgap=None,
-        waterfallgroupgap=None,
-        waterfallmode=None,
-        width=None,
-        xaxis=None,
-        yaxis=None,
-        **kwargs
-    ):
-        """
-        Construct a new Layout object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Layout`
-        angularaxis
-            :class:`plotly.graph_objects.layout.AngularAxis`
-            instance or dict with compatible properties
-        annotations
-            A tuple of
-            :class:`plotly.graph_objects.layout.Annotation`
-            instances or dicts with compatible properties
-        annotationdefaults
-            When used in a template (as
-            layout.template.layout.annotationdefaults), sets the
-            default property values to use for elements of
-            layout.annotations
-        autosize
-            Determines whether or not a layout width or height that
-            has been left undefined by the user is initialized on
-            each relayout. Note that, regardless of this attribute,
-            an undefined layout width or height is always
-            initialized on the first call to plot.
-        bargap
-            Sets the gap (in plot fraction) between bars of
-            adjacent location coordinates.
-        bargroupgap
-            Sets the gap (in plot fraction) between bars of the
-            same location coordinate.
-        barmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "stack", the bars are
-            stacked on top of one another With "relative", the bars
-            are stacked on top of one another, with negative values
-            below the axis, positive values above With "group", the
-            bars are plotted next to one another centered around
-            the shared location. With "overlay", the bars are
-            plotted over one another, you might need to an
-            "opacity" to see multiple bars.
-        barnorm
-            Sets the normalization for bar traces on the graph.
-            With "fraction", the value of each bar is divided by
-            the sum of all values at that location coordinate.
-            "percent" is the same but multiplied by 100 to show
-            percentages.
-        boxgap
-            Sets the gap (in plot fraction) between boxes of
-            adjacent location coordinates. Has no effect on traces
-            that have "width" set.
-        boxgroupgap
-            Sets the gap (in plot fraction) between boxes of the
-            same location coordinate. Has no effect on traces that
-            have "width" set.
-        boxmode
-            Determines how boxes at the same location coordinate
-            are displayed on the graph. If "group", the boxes are
-            plotted next to one another centered around the shared
-            location. If "overlay", the boxes are plotted over one
-            another, you might need to set "opacity" to see them
-            multiple boxes. Has no effect on traces that have
-            "width" set.
-        calendar
-            Sets the default calendar system to use for
-            interpreting and displaying dates throughout the plot.
-        clickmode
-            Determines the mode of single click interactions.
-            "event" is the default value and emits the
-            `plotly_click` event. In addition this mode emits the
-            `plotly_selected` event in drag modes "lasso" and
-            "select", but with no event data attached (kept for
-            compatibility reasons). The "select" flag enables
-            selecting single data points via click. This mode also
-            supports persistent selections, meaning that pressing
-            Shift while clicking, adds to / subtracts from an
-            existing selection. "select" with `hovermode`: "x" can
-            be confusing, consider explicitly setting `hovermode`:
-            "closest" when using this feature. Selection events are
-            sent accordingly as long as "event" flag is set as
-            well. When the "event" flag is missing, `plotly_click`
-            and `plotly_selected` events are not fired.
-        coloraxis
-            :class:`plotly.graph_objects.layout.Coloraxis` instance
-            or dict with compatible properties
-        colorscale
-            :class:`plotly.graph_objects.layout.Colorscale`
-            instance or dict with compatible properties
-        colorway
-            Sets the default trace colors.
-        datarevision
-            If provided, a changed value tells `Plotly.react` that
-            one or more data arrays has changed. This way you can
-            modify arrays in-place rather than making a complete
-            new copy for an incremental change. If NOT provided,
-            `Plotly.react` assumes that data arrays are being
-            treated as immutable, thus any data array with a
-            different identity from its predecessor contains new
-            data.
-        direction
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the direction corresponding to
-            positive angles in legacy polar charts.
-        dragmode
-            Determines the mode of drag interactions. "select" and
-            "lasso" apply only to scatter traces with markers or
-            text. "orbit" and "turntable" apply only to 3D scenes.
-        editrevision
-            Controls persistence of user-driven changes in
-            `editable: true` configuration, other than trace names
-            and axis titles. Defaults to `layout.uirevision`.
-        extendfunnelareacolors
-            If `true`, the funnelarea slice colors (whether given
-            by `funnelareacolorway` or inherited from `colorway`)
-            will be extended to three times its original length by
-            first repeating every color 20% lighter then each color
-            20% darker. This is intended to reduce the likelihood
-            of reusing the same color when you have many slices,
-            but you can set `false` to disable. Colors provided in
-            the trace, using `marker.colors`, are never extended.
-        extendpiecolors
-            If `true`, the pie slice colors (whether given by
-            `piecolorway` or inherited from `colorway`) will be
-            extended to three times its original length by first
-            repeating every color 20% lighter then each color 20%
-            darker. This is intended to reduce the likelihood of
-            reusing the same color when you have many slices, but
-            you can set `false` to disable. Colors provided in the
-            trace, using `marker.colors`, are never extended.
-        extendsunburstcolors
-            If `true`, the sunburst slice colors (whether given by
-            `sunburstcolorway` or inherited from `colorway`) will
-            be extended to three times its original length by first
-            repeating every color 20% lighter then each color 20%
-            darker. This is intended to reduce the likelihood of
-            reusing the same color when you have many slices, but
-            you can set `false` to disable. Colors provided in the
-            trace, using `marker.colors`, are never extended.
-        extendtreemapcolors
-            If `true`, the treemap slice colors (whether given by
-            `treemapcolorway` or inherited from `colorway`) will be
-            extended to three times its original length by first
-            repeating every color 20% lighter then each color 20%
-            darker. This is intended to reduce the likelihood of
-            reusing the same color when you have many slices, but
-            you can set `false` to disable. Colors provided in the
-            trace, using `marker.colors`, are never extended.
-        font
-            Sets the global font. Note that fonts used in traces
-            and other layout components inherit from the global
-            font.
-        funnelareacolorway
-            Sets the default funnelarea slice colors. Defaults to
-            the main `colorway` used for trace colors. If you
-            specify a new list here it can still be extended with
-            lighter and darker colors, see
-            `extendfunnelareacolors`.
-        funnelgap
-            Sets the gap (in plot fraction) between bars of
-            adjacent location coordinates.
-        funnelgroupgap
-            Sets the gap (in plot fraction) between bars of the
-            same location coordinate.
-        funnelmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "stack", the bars are
-            stacked on top of one another With "group", the bars
-            are plotted next to one another centered around the
-            shared location. With "overlay", the bars are plotted
-            over one another, you might need to an "opacity" to see
-            multiple bars.
-        geo
-            :class:`plotly.graph_objects.layout.Geo` instance or
-            dict with compatible properties
-        grid
-            :class:`plotly.graph_objects.layout.Grid` instance or
-            dict with compatible properties
-        height
-            Sets the plot's height (in px).
-        hiddenlabels
-            hiddenlabels is the funnelarea & pie chart analog of
-            visible:'legendonly' but it can contain many labels,
-            and can simultaneously hide slices from several
-            pies/funnelarea charts
-        hiddenlabelssrc
-            Sets the source reference on Chart Studio Cloud for
-            hiddenlabels .
-        hidesources
-            Determines whether or not a text link citing the data
-            source is placed at the bottom-right cored of the
-            figure. Has only an effect only on graphs that have
-            been generated via forked graphs from the Chart Studio
-            Cloud (at https://chart-studio.plotly.com or on-
-            premise).
-        hoverdistance
-            Sets the default distance (in pixels) to look for data
-            to add hover labels (-1 means no cutoff, 0 means no
-            looking for data). This is only a real distance for
-            hovering on point-like objects, like scatter points.
-            For area-like objects (bars, scatter fills, etc)
-            hovering is on inside the area and off outside, but
-            these objects will not supersede hover on point-like
-            objects in case of conflict.
-        hoverlabel
-            :class:`plotly.graph_objects.layout.Hoverlabel`
-            instance or dict with compatible properties
-        hovermode
-            Determines the mode of hover interactions. If
-            "closest", a single hoverlabel will appear for the
-            "closest" point within the `hoverdistance`. If "x" (or
-            "y"), multiple hoverlabels will appear for multiple
-            points at the "closest" x- (or y-) coordinate within
-            the `hoverdistance`, with the caveat that no more than
-            one hoverlabel will appear per trace. If *x unified*
-            (or *y unified*), a single hoverlabel will appear
-            multiple points at the closest x- (or y-) coordinate
-            within the `hoverdistance` with the caveat that no more
-            than one hoverlabel will appear per trace. In this
-            mode, spikelines are enabled by default perpendicular
-            to the specified axis. If false, hover interactions are
-            disabled. If `clickmode` includes the "select" flag,
-            `hovermode` defaults to "closest". If `clickmode` lacks
-            the "select" flag, it defaults to "x" or "y" (depending
-            on the trace's `orientation` value) for plots based on
-            cartesian coordinates. For anything else the default
-            value is "closest".
-        images
-            A tuple of :class:`plotly.graph_objects.layout.Image`
-            instances or dicts with compatible properties
-        imagedefaults
-            When used in a template (as
-            layout.template.layout.imagedefaults), sets the default
-            property values to use for elements of layout.images
-        legend
-            :class:`plotly.graph_objects.layout.Legend` instance or
-            dict with compatible properties
-        mapbox
-            :class:`plotly.graph_objects.layout.Mapbox` instance or
-            dict with compatible properties
-        margin
-            :class:`plotly.graph_objects.layout.Margin` instance or
-            dict with compatible properties
-        meta
-            Assigns extra meta information that can be used in
-            various `text` attributes. Attributes such as the
-            graph, axis and colorbar `title.text`, annotation
-            `text` `trace.name` in legend items, `rangeselector`,
-            `updatemenus` and `sliders` `label` text all support
-            `meta`. One can access `meta` fields using template
-            strings: `%{meta[i]}` where `i` is the index of the
-            `meta` item in question. `meta` can also be an object
-            for example `{key: value}` which can be accessed
-            %{meta[key]}.
-        metasrc
-            Sets the source reference on Chart Studio Cloud for
-            meta .
-        modebar
-            :class:`plotly.graph_objects.layout.Modebar` instance
-            or dict with compatible properties
-        orientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Rotates the entire polar by the given
-            angle in legacy polar charts.
-        paper_bgcolor
-            Sets the background color of the paper where the graph
-            is drawn.
-        piecolorway
-            Sets the default pie slice colors. Defaults to the main
-            `colorway` used for trace colors. If you specify a new
-            list here it can still be extended with lighter and
-            darker colors, see `extendpiecolors`.
-        plot_bgcolor
-            Sets the background color of the plotting area in-
-            between x and y axes.
-        polar
-            :class:`plotly.graph_objects.layout.Polar` instance or
-            dict with compatible properties
-        radialaxis
-            :class:`plotly.graph_objects.layout.RadialAxis`
-            instance or dict with compatible properties
-        scene
-            :class:`plotly.graph_objects.layout.Scene` instance or
-            dict with compatible properties
-        selectdirection
-            When "dragmode" is set to "select", this limits the
-            selection of the drag to horizontal, vertical or
-            diagonal. "h" only allows horizontal selection, "v"
-            only vertical, "d" only diagonal and "any" sets no
-            limit.
-        selectionrevision
-            Controls persistence of user-driven changes in selected
-            points from all traces.
-        separators
-            Sets the decimal and thousand separators. For example,
-            *. * puts a '.' before decimals and a space between
-            thousands. In English locales, dflt is ".," but other
-            locales may alter this default.
-        shapes
-            A tuple of :class:`plotly.graph_objects.layout.Shape`
-            instances or dicts with compatible properties
-        shapedefaults
-            When used in a template (as
-            layout.template.layout.shapedefaults), sets the default
-            property values to use for elements of layout.shapes
-        showlegend
-            Determines whether or not a legend is drawn. Default is
-            `true` if there is a trace to show and any of these: a)
-            Two or more traces would by default be shown in the
-            legend. b) One pie trace is shown in the legend. c) One
-            trace is explicitly given with `showlegend: true`.
-        sliders
-            A tuple of :class:`plotly.graph_objects.layout.Slider`
-            instances or dicts with compatible properties
-        sliderdefaults
-            When used in a template (as
-            layout.template.layout.sliderdefaults), sets the
-            default property values to use for elements of
-            layout.sliders
-        spikedistance
-            Sets the default distance (in pixels) to look for data
-            to draw spikelines to (-1 means no cutoff, 0 means no
-            looking for data). As with hoverdistance, distance does
-            not apply to area-like objects. In addition, some
-            objects can be hovered on but will not generate
-            spikelines, such as scatter fills.
-        sunburstcolorway
-            Sets the default sunburst slice colors. Defaults to the
-            main `colorway` used for trace colors. If you specify a
-            new list here it can still be extended with lighter and
-            darker colors, see `extendsunburstcolors`.
-        template
-            Default attributes to be applied to the plot. This
-            should be a dict with format: `{'layout':
-            layoutTemplate, 'data': {trace_type: [traceTemplate,
-            ...], ...}}` where `layoutTemplate` is a dict matching
-            the structure of `figure.layout` and `traceTemplate` is
-            a dict matching the structure of the trace with type
-            `trace_type` (e.g. 'scatter'). Alternatively, this may
-            be specified as an instance of
-            plotly.graph_objs.layout.Template.  Trace templates are
-            applied cyclically to traces of each type. Container
-            arrays (eg `annotations`) have special handling: An
-            object ending in `defaults` (eg `annotationdefaults`)
-            is applied to each array item. But if an item has a
-            `templateitemname` key we look in the template array
-            for an item with matching `name` and apply that
-            instead. If no matching `name` is found we mark the
-            item invisible. Any named template item not referenced
-            is appended to the end of the array, so this can be
-            used to add a watermark annotation or a logo image, for
-            example. To omit one of these items on the plot, make
-            an item with matching `templateitemname` and `visible:
-            false`.
-        ternary
-            :class:`plotly.graph_objects.layout.Ternary` instance
-            or dict with compatible properties
-        title
-            :class:`plotly.graph_objects.layout.Title` instance or
-            dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.title.font instead. Sets
-            the title font. Note that the title's font used to be
-            customized by the now deprecated `titlefont` attribute.
-        transition
-            Sets transition options used during Plotly.react
-            updates.
-        treemapcolorway
-            Sets the default treemap slice colors. Defaults to the
-            main `colorway` used for trace colors. If you specify a
-            new list here it can still be extended with lighter and
-            darker colors, see `extendtreemapcolors`.
-        uirevision
-            Used to allow user interactions with the plot to
-            persist after `Plotly.react` calls that are unaware of
-            these interactions. If `uirevision` is omitted, or if
-            it is given and it changed from the previous
-            `Plotly.react` call, the exact new figure is used. If
-            `uirevision` is truthy and did NOT change, any
-            attribute that has been affected by user interactions
-            and did not receive a different value in the new figure
-            will keep the interaction value. `layout.uirevision`
-            attribute serves as the default for `uirevision`
-            attributes in various sub-containers. For finer control
-            you can set these sub-attributes directly. For example,
-            if your app separately controls the data on the x and y
-            axes you might set `xaxis.uirevision=*time*` and
-            `yaxis.uirevision=*cost*`. Then if only the y data is
-            changed, you can update `yaxis.uirevision=*quantity*`
-            and the y axis range will reset but the x axis range
-            will retain any user-driven zoom.
-        uniformtext
-            :class:`plotly.graph_objects.layout.Uniformtext`
-            instance or dict with compatible properties
-        updatemenus
-            A tuple of
-            :class:`plotly.graph_objects.layout.Updatemenu`
-            instances or dicts with compatible properties
-        updatemenudefaults
-            When used in a template (as
-            layout.template.layout.updatemenudefaults), sets the
-            default property values to use for elements of
-            layout.updatemenus
-        violingap
-            Sets the gap (in plot fraction) between violins of
-            adjacent location coordinates. Has no effect on traces
-            that have "width" set.
-        violingroupgap
-            Sets the gap (in plot fraction) between violins of the
-            same location coordinate. Has no effect on traces that
-            have "width" set.
-        violinmode
-            Determines how violins at the same location coordinate
-            are displayed on the graph. If "group", the violins are
-            plotted next to one another centered around the shared
-            location. If "overlay", the violins are plotted over
-            one another, you might need to set "opacity" to see
-            them multiple violins. Has no effect on traces that
-            have "width" set.
-        waterfallgap
-            Sets the gap (in plot fraction) between bars of
-            adjacent location coordinates.
-        waterfallgroupgap
-            Sets the gap (in plot fraction) between bars of the
-            same location coordinate.
-        waterfallmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "group", the bars are
-            plotted next to one another centered around the shared
-            location. With "overlay", the bars are plotted over one
-            another, you might need to an "opacity" to see multiple
-            bars.
-        width
-            Sets the plot's width (in px).
-        xaxis
-            :class:`plotly.graph_objects.layout.XAxis` instance or
-            dict with compatible properties
-        yaxis
-            :class:`plotly.graph_objects.layout.YAxis` instance or
-            dict with compatible properties
-
-        Returns
-        -------
-        Layout
-        """
-        super(Layout, self).__init__("layout")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Layout 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Layout`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import layout as v_layout
-
-        # Initialize validators
-        # ---------------------
-        self._validators["angularaxis"] = v_layout.AngularAxisValidator()
-        self._validators["annotations"] = v_layout.AnnotationsValidator()
-        self._validators["annotationdefaults"] = v_layout.AnnotationValidator()
-        self._validators["autosize"] = v_layout.AutosizeValidator()
-        self._validators["bargap"] = v_layout.BargapValidator()
-        self._validators["bargroupgap"] = v_layout.BargroupgapValidator()
-        self._validators["barmode"] = v_layout.BarmodeValidator()
-        self._validators["barnorm"] = v_layout.BarnormValidator()
-        self._validators["boxgap"] = v_layout.BoxgapValidator()
-        self._validators["boxgroupgap"] = v_layout.BoxgroupgapValidator()
-        self._validators["boxmode"] = v_layout.BoxmodeValidator()
-        self._validators["calendar"] = v_layout.CalendarValidator()
-        self._validators["clickmode"] = v_layout.ClickmodeValidator()
-        self._validators["coloraxis"] = v_layout.ColoraxisValidator()
-        self._validators["colorscale"] = v_layout.ColorscaleValidator()
-        self._validators["colorway"] = v_layout.ColorwayValidator()
-        self._validators["datarevision"] = v_layout.DatarevisionValidator()
-        self._validators["direction"] = v_layout.DirectionValidator()
-        self._validators["dragmode"] = v_layout.DragmodeValidator()
-        self._validators["editrevision"] = v_layout.EditrevisionValidator()
-        self._validators[
-            "extendfunnelareacolors"
-        ] = v_layout.ExtendfunnelareacolorsValidator()
-        self._validators["extendpiecolors"] = v_layout.ExtendpiecolorsValidator()
-        self._validators[
-            "extendsunburstcolors"
-        ] = v_layout.ExtendsunburstcolorsValidator()
-        self._validators[
-            "extendtreemapcolors"
-        ] = v_layout.ExtendtreemapcolorsValidator()
-        self._validators["font"] = v_layout.FontValidator()
-        self._validators["funnelareacolorway"] = v_layout.FunnelareacolorwayValidator()
-        self._validators["funnelgap"] = v_layout.FunnelgapValidator()
-        self._validators["funnelgroupgap"] = v_layout.FunnelgroupgapValidator()
-        self._validators["funnelmode"] = v_layout.FunnelmodeValidator()
-        self._validators["geo"] = v_layout.GeoValidator()
-        self._validators["grid"] = v_layout.GridValidator()
-        self._validators["height"] = v_layout.HeightValidator()
-        self._validators["hiddenlabels"] = v_layout.HiddenlabelsValidator()
-        self._validators["hiddenlabelssrc"] = v_layout.HiddenlabelssrcValidator()
-        self._validators["hidesources"] = v_layout.HidesourcesValidator()
-        self._validators["hoverdistance"] = v_layout.HoverdistanceValidator()
-        self._validators["hoverlabel"] = v_layout.HoverlabelValidator()
-        self._validators["hovermode"] = v_layout.HovermodeValidator()
-        self._validators["images"] = v_layout.ImagesValidator()
-        self._validators["imagedefaults"] = v_layout.ImageValidator()
-        self._validators["legend"] = v_layout.LegendValidator()
-        self._validators["mapbox"] = v_layout.MapboxValidator()
-        self._validators["margin"] = v_layout.MarginValidator()
-        self._validators["meta"] = v_layout.MetaValidator()
-        self._validators["metasrc"] = v_layout.MetasrcValidator()
-        self._validators["modebar"] = v_layout.ModebarValidator()
-        self._validators["orientation"] = v_layout.OrientationValidator()
-        self._validators["paper_bgcolor"] = v_layout.PaperBgcolorValidator()
-        self._validators["piecolorway"] = v_layout.PiecolorwayValidator()
-        self._validators["plot_bgcolor"] = v_layout.PlotBgcolorValidator()
-        self._validators["polar"] = v_layout.PolarValidator()
-        self._validators["radialaxis"] = v_layout.RadialAxisValidator()
-        self._validators["scene"] = v_layout.SceneValidator()
-        self._validators["selectdirection"] = v_layout.SelectdirectionValidator()
-        self._validators["selectionrevision"] = v_layout.SelectionrevisionValidator()
-        self._validators["separators"] = v_layout.SeparatorsValidator()
-        self._validators["shapes"] = v_layout.ShapesValidator()
-        self._validators["shapedefaults"] = v_layout.ShapeValidator()
-        self._validators["showlegend"] = v_layout.ShowlegendValidator()
-        self._validators["sliders"] = v_layout.SlidersValidator()
-        self._validators["sliderdefaults"] = v_layout.SliderValidator()
-        self._validators["spikedistance"] = v_layout.SpikedistanceValidator()
-        self._validators["sunburstcolorway"] = v_layout.SunburstcolorwayValidator()
-        self._validators["template"] = v_layout.TemplateValidator()
-        self._validators["ternary"] = v_layout.TernaryValidator()
-        self._validators["title"] = v_layout.TitleValidator()
-        self._validators["transition"] = v_layout.TransitionValidator()
-        self._validators["treemapcolorway"] = v_layout.TreemapcolorwayValidator()
-        self._validators["uirevision"] = v_layout.UirevisionValidator()
-        self._validators["uniformtext"] = v_layout.UniformtextValidator()
-        self._validators["updatemenus"] = v_layout.UpdatemenusValidator()
-        self._validators["updatemenudefaults"] = v_layout.UpdatemenuValidator()
-        self._validators["violingap"] = v_layout.ViolingapValidator()
-        self._validators["violingroupgap"] = v_layout.ViolingroupgapValidator()
-        self._validators["violinmode"] = v_layout.ViolinmodeValidator()
-        self._validators["waterfallgap"] = v_layout.WaterfallgapValidator()
-        self._validators["waterfallgroupgap"] = v_layout.WaterfallgroupgapValidator()
-        self._validators["waterfallmode"] = v_layout.WaterfallmodeValidator()
-        self._validators["width"] = v_layout.WidthValidator()
-        self._validators["xaxis"] = v_layout.XAxisValidator()
-        self._validators["yaxis"] = v_layout.YAxisValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("angularaxis", None)
-        self["angularaxis"] = angularaxis if angularaxis is not None else _v
-        _v = arg.pop("annotations", None)
-        self["annotations"] = annotations if annotations is not None else _v
-        _v = arg.pop("annotationdefaults", None)
-        self["annotationdefaults"] = (
-            annotationdefaults if annotationdefaults is not None else _v
-        )
-        _v = arg.pop("autosize", None)
-        self["autosize"] = autosize if autosize is not None else _v
-        _v = arg.pop("bargap", None)
-        self["bargap"] = bargap if bargap is not None else _v
-        _v = arg.pop("bargroupgap", None)
-        self["bargroupgap"] = bargroupgap if bargroupgap is not None else _v
-        _v = arg.pop("barmode", None)
-        self["barmode"] = barmode if barmode is not None else _v
-        _v = arg.pop("barnorm", None)
-        self["barnorm"] = barnorm if barnorm is not None else _v
-        _v = arg.pop("boxgap", None)
-        self["boxgap"] = boxgap if boxgap is not None else _v
-        _v = arg.pop("boxgroupgap", None)
-        self["boxgroupgap"] = boxgroupgap if boxgroupgap is not None else _v
-        _v = arg.pop("boxmode", None)
-        self["boxmode"] = boxmode if boxmode is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("clickmode", None)
-        self["clickmode"] = clickmode if clickmode is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorway", None)
-        self["colorway"] = colorway if colorway is not None else _v
-        _v = arg.pop("datarevision", None)
-        self["datarevision"] = datarevision if datarevision is not None else _v
-        _v = arg.pop("direction", None)
-        self["direction"] = direction if direction is not None else _v
-        _v = arg.pop("dragmode", None)
-        self["dragmode"] = dragmode if dragmode is not None else _v
-        _v = arg.pop("editrevision", None)
-        self["editrevision"] = editrevision if editrevision is not None else _v
-        _v = arg.pop("extendfunnelareacolors", None)
-        self["extendfunnelareacolors"] = (
-            extendfunnelareacolors if extendfunnelareacolors is not None else _v
-        )
-        _v = arg.pop("extendpiecolors", None)
-        self["extendpiecolors"] = extendpiecolors if extendpiecolors is not None else _v
-        _v = arg.pop("extendsunburstcolors", None)
-        self["extendsunburstcolors"] = (
-            extendsunburstcolors if extendsunburstcolors is not None else _v
-        )
-        _v = arg.pop("extendtreemapcolors", None)
-        self["extendtreemapcolors"] = (
-            extendtreemapcolors if extendtreemapcolors is not None else _v
-        )
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("funnelareacolorway", None)
-        self["funnelareacolorway"] = (
-            funnelareacolorway if funnelareacolorway is not None else _v
-        )
-        _v = arg.pop("funnelgap", None)
-        self["funnelgap"] = funnelgap if funnelgap is not None else _v
-        _v = arg.pop("funnelgroupgap", None)
-        self["funnelgroupgap"] = funnelgroupgap if funnelgroupgap is not None else _v
-        _v = arg.pop("funnelmode", None)
-        self["funnelmode"] = funnelmode if funnelmode is not None else _v
-        _v = arg.pop("geo", None)
-        self["geo"] = geo if geo is not None else _v
-        _v = arg.pop("grid", None)
-        self["grid"] = grid if grid is not None else _v
-        _v = arg.pop("height", None)
-        self["height"] = height if height is not None else _v
-        _v = arg.pop("hiddenlabels", None)
-        self["hiddenlabels"] = hiddenlabels if hiddenlabels is not None else _v
-        _v = arg.pop("hiddenlabelssrc", None)
-        self["hiddenlabelssrc"] = hiddenlabelssrc if hiddenlabelssrc is not None else _v
-        _v = arg.pop("hidesources", None)
-        self["hidesources"] = hidesources if hidesources is not None else _v
-        _v = arg.pop("hoverdistance", None)
-        self["hoverdistance"] = hoverdistance if hoverdistance is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovermode", None)
-        self["hovermode"] = hovermode if hovermode is not None else _v
-        _v = arg.pop("images", None)
-        self["images"] = images if images is not None else _v
-        _v = arg.pop("imagedefaults", None)
-        self["imagedefaults"] = imagedefaults if imagedefaults is not None else _v
-        _v = arg.pop("legend", None)
-        self["legend"] = legend if legend is not None else _v
-        _v = arg.pop("mapbox", None)
-        self["mapbox"] = mapbox if mapbox is not None else _v
-        _v = arg.pop("margin", None)
-        self["margin"] = margin if margin is not None else _v
-        _v = arg.pop("meta", None)
-        self["meta"] = meta if meta is not None else _v
-        _v = arg.pop("metasrc", None)
-        self["metasrc"] = metasrc if metasrc is not None else _v
-        _v = arg.pop("modebar", None)
-        self["modebar"] = modebar if modebar is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("paper_bgcolor", None)
-        self["paper_bgcolor"] = paper_bgcolor if paper_bgcolor is not None else _v
-        _v = arg.pop("piecolorway", None)
-        self["piecolorway"] = piecolorway if piecolorway is not None else _v
-        _v = arg.pop("plot_bgcolor", None)
-        self["plot_bgcolor"] = plot_bgcolor if plot_bgcolor is not None else _v
-        _v = arg.pop("polar", None)
-        self["polar"] = polar if polar is not None else _v
-        _v = arg.pop("radialaxis", None)
-        self["radialaxis"] = radialaxis if radialaxis is not None else _v
-        _v = arg.pop("scene", None)
-        self["scene"] = scene if scene is not None else _v
-        _v = arg.pop("selectdirection", None)
-        self["selectdirection"] = selectdirection if selectdirection is not None else _v
-        _v = arg.pop("selectionrevision", None)
-        self["selectionrevision"] = (
-            selectionrevision if selectionrevision is not None else _v
-        )
-        _v = arg.pop("separators", None)
-        self["separators"] = separators if separators is not None else _v
-        _v = arg.pop("shapes", None)
-        self["shapes"] = shapes if shapes is not None else _v
-        _v = arg.pop("shapedefaults", None)
-        self["shapedefaults"] = shapedefaults if shapedefaults is not None else _v
-        _v = arg.pop("showlegend", None)
-        self["showlegend"] = showlegend if showlegend is not None else _v
-        _v = arg.pop("sliders", None)
-        self["sliders"] = sliders if sliders is not None else _v
-        _v = arg.pop("sliderdefaults", None)
-        self["sliderdefaults"] = sliderdefaults if sliderdefaults is not None else _v
-        _v = arg.pop("spikedistance", None)
-        self["spikedistance"] = spikedistance if spikedistance is not None else _v
-        _v = arg.pop("sunburstcolorway", None)
-        self["sunburstcolorway"] = (
-            sunburstcolorway if sunburstcolorway is not None else _v
-        )
-        _v = arg.pop("template", None)
-        _v = template if template is not None else _v
-        if _v is not None:
-            self["template"] = _v
-        _v = arg.pop("ternary", None)
-        self["ternary"] = ternary if ternary is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("transition", None)
-        self["transition"] = transition if transition is not None else _v
-        _v = arg.pop("treemapcolorway", None)
-        self["treemapcolorway"] = treemapcolorway if treemapcolorway is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("uniformtext", None)
-        self["uniformtext"] = uniformtext if uniformtext is not None else _v
-        _v = arg.pop("updatemenus", None)
-        self["updatemenus"] = updatemenus if updatemenus is not None else _v
-        _v = arg.pop("updatemenudefaults", None)
-        self["updatemenudefaults"] = (
-            updatemenudefaults if updatemenudefaults is not None else _v
-        )
-        _v = arg.pop("violingap", None)
-        self["violingap"] = violingap if violingap is not None else _v
-        _v = arg.pop("violingroupgap", None)
-        self["violingroupgap"] = violingroupgap if violingroupgap is not None else _v
-        _v = arg.pop("violinmode", None)
-        self["violinmode"] = violinmode if violinmode is not None else _v
-        _v = arg.pop("waterfallgap", None)
-        self["waterfallgap"] = waterfallgap if waterfallgap is not None else _v
-        _v = arg.pop("waterfallgroupgap", None)
-        self["waterfallgroupgap"] = (
-            waterfallgroupgap if waterfallgroupgap is not None else _v
-        )
-        _v = arg.pop("waterfallmode", None)
-        self["waterfallmode"] = waterfallmode if waterfallmode is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseFrameHierarchyType as _BaseFrameHierarchyType
-import copy as _copy
-
-
-class Frame(_BaseFrameHierarchyType):
-
-    # baseframe
-    # ---------
-    @property
-    def baseframe(self):
-        """
-        The name of the frame into which this frame's properties are
-        merged before applying. This is used to unify properties and
-        avoid needing to specify the same values for the same
-        properties in multiple frames.
-    
-        The 'baseframe' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["baseframe"]
-
-    @baseframe.setter
-    def baseframe(self, val):
-        self["baseframe"] = val
-
-    # data
-    # ----
-    @property
-    def data(self):
-        """
-        A list of traces this frame modifies. The format is identical
-        to the normal trace definition.
-
-        Returns
-        -------
-        Any
-        """
-        return self["data"]
-
-    @data.setter
-    def data(self, val):
-        self["data"] = val
-
-    # group
-    # -----
-    @property
-    def group(self):
-        """
-        An identifier that specifies the group to which the frame
-        belongs, used by animate to select a subset of frames.
-    
-        The 'group' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["group"]
-
-    @group.setter
-    def group(self, val):
-        self["group"] = val
-
-    # layout
-    # ------
-    @property
-    def layout(self):
-        """
-        Layout properties which this frame modifies. The format is
-        identical to the normal layout definition.
-
-        Returns
-        -------
-        Any
-        """
-        return self["layout"]
-
-    @layout.setter
-    def layout(self, val):
-        self["layout"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        A label by which to identify the frame
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # traces
-    # ------
-    @property
-    def traces(self):
-        """
-        A list of trace indices that identify the respective traces in
-        the data attribute
-    
-        The 'traces' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["traces"]
-
-    @traces.setter
-    def traces(self, val):
-        self["traces"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return ""
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        baseframe
-            The name of the frame into which this frame's
-            properties are merged before applying. This is used to
-            unify properties and avoid needing to specify the same
-            values for the same properties in multiple frames.
-        data
-            A list of traces this frame modifies. The format is
-            identical to the normal trace definition.
-        group
-            An identifier that specifies the group to which the
-            frame belongs, used by animate to select a subset of
-            frames.
-        layout
-            Layout properties which this frame modifies. The format
-            is identical to the normal layout definition.
-        name
-            A label by which to identify the frame
-        traces
-            A list of trace indices that identify the respective
-            traces in the data attribute
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        baseframe=None,
-        data=None,
-        group=None,
-        layout=None,
-        name=None,
-        traces=None,
-        **kwargs
-    ):
-        """
-        Construct a new Frame object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.Frame`
-        baseframe
-            The name of the frame into which this frame's
-            properties are merged before applying. This is used to
-            unify properties and avoid needing to specify the same
-            values for the same properties in multiple frames.
-        data
-            A list of traces this frame modifies. The format is
-            identical to the normal trace definition.
-        group
-            An identifier that specifies the group to which the
-            frame belongs, used by animate to select a subset of
-            frames.
-        layout
-            Layout properties which this frame modifies. The format
-            is identical to the normal layout definition.
-        name
-            A label by which to identify the frame
-        traces
-            A list of trace indices that identify the respective
-            traces in the data attribute
-
-        Returns
-        -------
-        Frame
-        """
-        super(Frame, self).__init__("frames")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.Frame 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.Frame`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators import frame as v_frame
-
-        # Initialize validators
-        # ---------------------
-        self._validators["baseframe"] = v_frame.BaseframeValidator()
-        self._validators["data"] = v_frame.DataValidator()
-        self._validators["group"] = v_frame.GroupValidator()
-        self._validators["layout"] = v_frame.LayoutValidator()
-        self._validators["name"] = v_frame.NameValidator()
-        self._validators["traces"] = v_frame.TracesValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("baseframe", None)
-        self["baseframe"] = baseframe if baseframe is not None else _v
-        _v = arg.pop("data", None)
-        self["data"] = data if data is not None else _v
-        _v = arg.pop("group", None)
-        self["group"] = group if group is not None else _v
-        _v = arg.pop("layout", None)
-        self["layout"] = layout if layout is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("traces", None)
-        self["traces"] = traces if traces is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.graph_objs import waterfall
-from plotly.graph_objs import volume
-from plotly.graph_objs import violin
-from plotly.graph_objs import treemap
-from plotly.graph_objs import table
-from plotly.graph_objs import surface
-from plotly.graph_objs import sunburst
-from plotly.graph_objs import streamtube
-from plotly.graph_objs import splom
-from plotly.graph_objs import scatterternary
-from plotly.graph_objs import scatterpolargl
-from plotly.graph_objs import scatterpolar
-from plotly.graph_objs import scattermapbox
-from plotly.graph_objs import scattergl
-from plotly.graph_objs import scattergeo
-from plotly.graph_objs import scattercarpet
-from plotly.graph_objs import scatter3d
-from plotly.graph_objs import scatter
-from plotly.graph_objs import sankey
-from plotly.graph_objs import pointcloud
-from plotly.graph_objs import pie
-from plotly.graph_objs import parcoords
-from plotly.graph_objs import parcats
-from plotly.graph_objs import ohlc
-from plotly.graph_objs import mesh3d
-from plotly.graph_objs import isosurface
-from plotly.graph_objs import indicator
-from plotly.graph_objs import image
-from plotly.graph_objs import histogram2dcontour
-from plotly.graph_objs import histogram2d
-from plotly.graph_objs import histogram
-from plotly.graph_objs import heatmapgl
-from plotly.graph_objs import heatmap
-from plotly.graph_objs import funnelarea
-from plotly.graph_objs import funnel
-from plotly.graph_objs import densitymapbox
-from plotly.graph_objs import contourcarpet
-from plotly.graph_objs import contour
-from plotly.graph_objs import cone
-from plotly.graph_objs import choroplethmapbox
-from plotly.graph_objs import choropleth
-from plotly.graph_objs import carpet
-from plotly.graph_objs import candlestick
-from plotly.graph_objs import box
-from plotly.graph_objs import barpolar
-from plotly.graph_objs import bar
-from plotly.graph_objs import area
-from plotly.graph_objs import layout
-from ._figure import Figure
-from ._deprecations import (
-    Data,
-    Annotations,
-    Frames,
-    AngularAxis,
-    Annotation,
-    ColorBar,
-    Contours,
-    ErrorX,
-    ErrorY,
-    ErrorZ,
-    Font,
-    Legend,
-    Line,
-    Margin,
-    Marker,
-    RadialAxis,
-    Scene,
-    Stream,
-    XAxis,
-    YAxis,
-    ZAxis,
-    XBins,
-    YBins,
-    Trace,
-    Histogram2dcontour,
-)
-
-__all__ = [
-    "AngularAxis",
-    "Annotation",
-    "Annotations",
-    "Area",
-    "Bar",
-    "Barpolar",
-    "Box",
-    "Candlestick",
-    "Carpet",
-    "Choropleth",
-    "Choroplethmapbox",
-    "ColorBar",
-    "Cone",
-    "Contour",
-    "Contourcarpet",
-    "Contours",
-    "Data",
-    "Densitymapbox",
-    "ErrorX",
-    "ErrorY",
-    "ErrorZ",
-    "Figure",
-    "Font",
-    "Frame",
-    "Frames",
-    "Funnel",
-    "Funnelarea",
-    "Heatmap",
-    "Heatmapgl",
-    "Histogram",
-    "Histogram2d",
-    "Histogram2dContour",
-    "Histogram2dcontour",
-    "Image",
-    "Indicator",
-    "Isosurface",
-    "Layout",
-    "Legend",
-    "Line",
-    "Margin",
-    "Marker",
-    "Mesh3d",
-    "Ohlc",
-    "Parcats",
-    "Parcoords",
-    "Pie",
-    "Pointcloud",
-    "RadialAxis",
-    "Sankey",
-    "Scatter",
-    "Scatter3d",
-    "Scattercarpet",
-    "Scattergeo",
-    "Scattergl",
-    "Scattermapbox",
-    "Scatterpolar",
-    "Scatterpolargl",
-    "Scatterternary",
-    "Scene",
-    "Splom",
-    "Stream",
-    "Streamtube",
-    "Sunburst",
-    "Surface",
-    "Table",
-    "Trace",
-    "Treemap",
-    "Violin",
-    "Volume",
-    "Waterfall",
-    "XAxis",
-    "XBins",
-    "YAxis",
-    "YBins",
-    "ZAxis",
-    "area",
-    "bar",
-    "barpolar",
-    "box",
-    "candlestick",
-    "carpet",
-    "choropleth",
-    "choroplethmapbox",
-    "cone",
-    "contour",
-    "contourcarpet",
-    "densitymapbox",
-    "funnel",
-    "funnelarea",
-    "heatmap",
-    "heatmapgl",
-    "histogram",
-    "histogram2d",
-    "histogram2dcontour",
-    "image",
-    "indicator",
-    "isosurface",
-    "layout",
-    "mesh3d",
-    "ohlc",
-    "parcats",
-    "parcoords",
-    "pie",
-    "pointcloud",
-    "sankey",
-    "scatter",
-    "scatter3d",
-    "scattercarpet",
-    "scattergeo",
-    "scattergl",
-    "scattermapbox",
-    "scatterpolar",
-    "scatterpolargl",
-    "scatterternary",
-    "splom",
-    "streamtube",
-    "sunburst",
-    "surface",
-    "table",
-    "treemap",
-    "violin",
-    "volume",
-    "waterfall",
-]
-try:
-    import ipywidgets
-    from distutils.version import LooseVersion
-
-    if LooseVersion(ipywidgets.__version__) >= LooseVersion("7.0.0"):
-        from ._figurewidget import FigureWidget
-
-        __all__.append("FigureWidget")
-    del LooseVersion
-    del ipywidgets
-except ImportError:
-    pass
+import sys
+
+if sys.version_info < (3, 7):
+    from ._waterfall import Waterfall
+    from ._volume import Volume
+    from ._violin import Violin
+    from ._treemap import Treemap
+    from ._table import Table
+    from ._surface import Surface
+    from ._sunburst import Sunburst
+    from ._streamtube import Streamtube
+    from ._splom import Splom
+    from ._scatterternary import Scatterternary
+    from ._scatterpolargl import Scatterpolargl
+    from ._scatterpolar import Scatterpolar
+    from ._scattermapbox import Scattermapbox
+    from ._scattergl import Scattergl
+    from ._scattergeo import Scattergeo
+    from ._scattercarpet import Scattercarpet
+    from ._scatter3d import Scatter3d
+    from ._scatter import Scatter
+    from ._sankey import Sankey
+    from ._pointcloud import Pointcloud
+    from ._pie import Pie
+    from ._parcoords import Parcoords
+    from ._parcats import Parcats
+    from ._ohlc import Ohlc
+    from ._mesh3d import Mesh3d
+    from ._isosurface import Isosurface
+    from ._indicator import Indicator
+    from ._image import Image
+    from ._histogram2dcontour import Histogram2dContour
+    from ._histogram2d import Histogram2d
+    from ._histogram import Histogram
+    from ._heatmapgl import Heatmapgl
+    from ._heatmap import Heatmap
+    from ._funnelarea import Funnelarea
+    from ._funnel import Funnel
+    from ._densitymapbox import Densitymapbox
+    from ._contourcarpet import Contourcarpet
+    from ._contour import Contour
+    from ._cone import Cone
+    from ._choroplethmapbox import Choroplethmapbox
+    from ._choropleth import Choropleth
+    from ._carpet import Carpet
+    from ._candlestick import Candlestick
+    from ._box import Box
+    from ._barpolar import Barpolar
+    from ._bar import Bar
+    from ._area import Area
+    from ._layout import Layout
+    from ._frame import Frame
+    from ._figure import Figure
+    from ._deprecations import Data
+    from ._deprecations import Annotations
+    from ._deprecations import Frames
+    from ._deprecations import AngularAxis
+    from ._deprecations import Annotation
+    from ._deprecations import ColorBar
+    from ._deprecations import Contours
+    from ._deprecations import ErrorX
+    from ._deprecations import ErrorY
+    from ._deprecations import ErrorZ
+    from ._deprecations import Font
+    from ._deprecations import Legend
+    from ._deprecations import Line
+    from ._deprecations import Margin
+    from ._deprecations import Marker
+    from ._deprecations import RadialAxis
+    from ._deprecations import Scene
+    from ._deprecations import Stream
+    from ._deprecations import XAxis
+    from ._deprecations import YAxis
+    from ._deprecations import ZAxis
+    from ._deprecations import XBins
+    from ._deprecations import YBins
+    from ._deprecations import Trace
+    from ._deprecations import Histogram2dcontour
+    from . import waterfall
+    from . import volume
+    from . import violin
+    from . import treemap
+    from . import table
+    from . import surface
+    from . import sunburst
+    from . import streamtube
+    from . import splom
+    from . import scatterternary
+    from . import scatterpolargl
+    from . import scatterpolar
+    from . import scattermapbox
+    from . import scattergl
+    from . import scattergeo
+    from . import scattercarpet
+    from . import scatter3d
+    from . import scatter
+    from . import sankey
+    from . import pointcloud
+    from . import pie
+    from . import parcoords
+    from . import parcats
+    from . import ohlc
+    from . import mesh3d
+    from . import isosurface
+    from . import indicator
+    from . import image
+    from . import histogram2dcontour
+    from . import histogram2d
+    from . import histogram
+    from . import heatmapgl
+    from . import heatmap
+    from . import funnelarea
+    from . import funnel
+    from . import densitymapbox
+    from . import contourcarpet
+    from . import contour
+    from . import cone
+    from . import choroplethmapbox
+    from . import choropleth
+    from . import carpet
+    from . import candlestick
+    from . import box
+    from . import barpolar
+    from . import bar
+    from . import area
+    from . import layout
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [
+            ".waterfall",
+            ".volume",
+            ".violin",
+            ".treemap",
+            ".table",
+            ".surface",
+            ".sunburst",
+            ".streamtube",
+            ".splom",
+            ".scatterternary",
+            ".scatterpolargl",
+            ".scatterpolar",
+            ".scattermapbox",
+            ".scattergl",
+            ".scattergeo",
+            ".scattercarpet",
+            ".scatter3d",
+            ".scatter",
+            ".sankey",
+            ".pointcloud",
+            ".pie",
+            ".parcoords",
+            ".parcats",
+            ".ohlc",
+            ".mesh3d",
+            ".isosurface",
+            ".indicator",
+            ".image",
+            ".histogram2dcontour",
+            ".histogram2d",
+            ".histogram",
+            ".heatmapgl",
+            ".heatmap",
+            ".funnelarea",
+            ".funnel",
+            ".densitymapbox",
+            ".contourcarpet",
+            ".contour",
+            ".cone",
+            ".choroplethmapbox",
+            ".choropleth",
+            ".carpet",
+            ".candlestick",
+            ".box",
+            ".barpolar",
+            ".bar",
+            ".area",
+            ".layout",
+        ],
+        [
+            "._waterfall.Waterfall",
+            "._volume.Volume",
+            "._violin.Violin",
+            "._treemap.Treemap",
+            "._table.Table",
+            "._surface.Surface",
+            "._sunburst.Sunburst",
+            "._streamtube.Streamtube",
+            "._splom.Splom",
+            "._scatterternary.Scatterternary",
+            "._scatterpolargl.Scatterpolargl",
+            "._scatterpolar.Scatterpolar",
+            "._scattermapbox.Scattermapbox",
+            "._scattergl.Scattergl",
+            "._scattergeo.Scattergeo",
+            "._scattercarpet.Scattercarpet",
+            "._scatter3d.Scatter3d",
+            "._scatter.Scatter",
+            "._sankey.Sankey",
+            "._pointcloud.Pointcloud",
+            "._pie.Pie",
+            "._parcoords.Parcoords",
+            "._parcats.Parcats",
+            "._ohlc.Ohlc",
+            "._mesh3d.Mesh3d",
+            "._isosurface.Isosurface",
+            "._indicator.Indicator",
+            "._image.Image",
+            "._histogram2dcontour.Histogram2dContour",
+            "._histogram2d.Histogram2d",
+            "._histogram.Histogram",
+            "._heatmapgl.Heatmapgl",
+            "._heatmap.Heatmap",
+            "._funnelarea.Funnelarea",
+            "._funnel.Funnel",
+            "._densitymapbox.Densitymapbox",
+            "._contourcarpet.Contourcarpet",
+            "._contour.Contour",
+            "._cone.Cone",
+            "._choroplethmapbox.Choroplethmapbox",
+            "._choropleth.Choropleth",
+            "._carpet.Carpet",
+            "._candlestick.Candlestick",
+            "._box.Box",
+            "._barpolar.Barpolar",
+            "._bar.Bar",
+            "._area.Area",
+            "._layout.Layout",
+            "._frame.Frame",
+            "._figure.Figure",
+            "._deprecations.Data",
+            "._deprecations.Annotations",
+            "._deprecations.Frames",
+            "._deprecations.AngularAxis",
+            "._deprecations.Annotation",
+            "._deprecations.ColorBar",
+            "._deprecations.Contours",
+            "._deprecations.ErrorX",
+            "._deprecations.ErrorY",
+            "._deprecations.ErrorZ",
+            "._deprecations.Font",
+            "._deprecations.Legend",
+            "._deprecations.Line",
+            "._deprecations.Margin",
+            "._deprecations.Marker",
+            "._deprecations.RadialAxis",
+            "._deprecations.Scene",
+            "._deprecations.Stream",
+            "._deprecations.XAxis",
+            "._deprecations.YAxis",
+            "._deprecations.ZAxis",
+            "._deprecations.XBins",
+            "._deprecations.YBins",
+            "._deprecations.Trace",
+            "._deprecations.Histogram2dcontour",
+        ],
+    )
+
+from .._validate import validate
+
+if sys.version_info < (3, 7):
+    try:
+        import ipywidgets
+        from distutils.version import LooseVersion
+
+        if LooseVersion(ipywidgets.__version__) >= LooseVersion("7.0.0"):
+            from ..graph_objs._figurewidget import FigureWidget
+        del LooseVersion
+        del ipywidgets
+    except ImportError:
+        pass
+else:
+    __all__.append("FigureWidget")
+    orig_getattr = __getattr__
+
+    def __getattr__(import_name):
+        if import_name == "FigureWidget":
+            try:
+                import ipywidgets
+                from distutils.version import LooseVersion
+
+                if LooseVersion(ipywidgets.__version__) >= LooseVersion("7.0.0"):
+                    from ..graph_objs._figurewidget import FigureWidget
+
+                    return FigureWidget
+            except ImportError:
+                pass
+
+        return orig_getattr(import_name)
diff --git a/packages/python/plotly/plotly/graph_objs/_area.py b/packages/python/plotly/plotly/graph_objs/_area.py
new file mode 100644
index 00000000000..a81a5e662fd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_area.py
@@ -0,0 +1,1002 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Area(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "area"
+    _valid_props = {
+        "customdata",
+        "customdatasrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "r",
+        "rsrc",
+        "showlegend",
+        "stream",
+        "t",
+        "tsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+    }
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.area.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.area.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.area.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Area traces are deprecated! Please switch to
+                    the "barpolar" trace type. Sets themarkercolor.
+                    It accepts either a specific color or an array
+                    of numbers that are mapped to the colorscale
+                    relative to the max and min values of the array
+                    or relative to `marker.cmin` and `marker.cmax`
+                    if set.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                opacity
+                    Area traces are deprecated! Please switch to
+                    the "barpolar" trace type. Sets the marker
+                    opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                size
+                    Area traces are deprecated! Please switch to
+                    the "barpolar" trace type. Sets the marker size
+                    (in px).
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Area traces are deprecated! Please switch to
+                    the "barpolar" trace type. Sets the marker
+                    symbol type. Adding 100 is equivalent to
+                    appending "-open" to a symbol name. Adding 200
+                    is equivalent to appending "-dot" to a symbol
+                    name. Adding 300 is equivalent to appending
+                    "-open-dot" or "dot-open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.area.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        Area traces are deprecated! Please switch to the "barpolar"
+        trace type. Sets the radial coordinates for legacy polar chart
+        only.
+    
+        The 'r' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # rsrc
+    # ----
+    @property
+    def rsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  r .
+    
+        The 'rsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["rsrc"]
+
+    @rsrc.setter
+    def rsrc(self, val):
+        self["rsrc"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.area.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.area.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        Area traces are deprecated! Please switch to the "barpolar"
+        trace type. Sets the angular coordinates for legacy polar chart
+        only.
+    
+        The 't' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # tsrc
+    # ----
+    @property
+    def tsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  t .
+    
+        The 'tsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tsrc"]
+
+    @tsrc.setter
+    def tsrc(self, val):
+        self["tsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.area.Hoverlabel` instance
+            or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.area.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        r
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the radial coordinates for
+            legacy polar chart only.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.area.Stream` instance or
+            dict with compatible properties
+        t
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the angular coordinates for
+            legacy polar chart only.
+        tsrc
+            Sets the source reference on Chart Studio Cloud for  t
+            .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        customdata=None,
+        customdatasrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        r=None,
+        rsrc=None,
+        showlegend=None,
+        stream=None,
+        t=None,
+        tsrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Area object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Area`
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.area.Hoverlabel` instance
+            or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.area.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        r
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the radial coordinates for
+            legacy polar chart only.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.area.Stream` instance or
+            dict with compatible properties
+        t
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the angular coordinates for
+            legacy polar chart only.
+        tsrc
+            Sets the source reference on Chart Studio Cloud for  t
+            .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Area
+        """
+        super(Area, self).__init__("area")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Area 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Area`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("rsrc", None)
+        _v = rsrc if rsrc is not None else _v
+        if _v is not None:
+            self["rsrc"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+        _v = arg.pop("tsrc", None)
+        _v = tsrc if tsrc is not None else _v
+        if _v is not None:
+            self["tsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "area"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_bar.py b/packages/python/plotly/plotly/graph_objs/_bar.py
new file mode 100644
index 00000000000..18ad7a68e25
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_bar.py
@@ -0,0 +1,2928 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Bar(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "bar"
+    _valid_props = {
+        "alignmentgroup",
+        "base",
+        "basesrc",
+        "cliponaxis",
+        "constraintext",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "error_x",
+        "error_y",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "insidetextanchor",
+        "insidetextfont",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "offset",
+        "offsetgroup",
+        "offsetsrc",
+        "opacity",
+        "orientation",
+        "outsidetextfont",
+        "r",
+        "rsrc",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "t",
+        "text",
+        "textangle",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "tsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "width",
+        "widthsrc",
+        "x",
+        "x0",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ycalendar",
+        "ysrc",
+    }
+
+    # alignmentgroup
+    # --------------
+    @property
+    def alignmentgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same alignmentgroup. This controls whether bars
+        compute their positional range dependently or independently.
+    
+        The 'alignmentgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["alignmentgroup"]
+
+    @alignmentgroup.setter
+    def alignmentgroup(self, val):
+        self["alignmentgroup"] = val
+
+    # base
+    # ----
+    @property
+    def base(self):
+        """
+        Sets where the bar base is drawn (in position axis units). In
+        "stack" or "relative" barmode, traces that set "base" will be
+        excluded and drawn in "overlay" mode instead.
+    
+        The 'base' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["base"]
+
+    @base.setter
+    def base(self, val):
+        self["base"] = val
+
+    # basesrc
+    # -------
+    @property
+    def basesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  base .
+    
+        The 'basesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["basesrc"]
+
+    @basesrc.setter
+    def basesrc(self, val):
+        self["basesrc"] = val
+
+    # cliponaxis
+    # ----------
+    @property
+    def cliponaxis(self):
+        """
+        Determines whether the text nodes are clipped about the subplot
+        axes. To show the text nodes above axis lines and tick labels,
+        make sure to set `xaxis.layer` and `yaxis.layer` to *below
+        traces*.
+    
+        The 'cliponaxis' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cliponaxis"]
+
+    @cliponaxis.setter
+    def cliponaxis(self, val):
+        self["cliponaxis"] = val
+
+    # constraintext
+    # -------------
+    @property
+    def constraintext(self):
+        """
+        Constrain the size of text inside or outside a bar to be no
+        larger than the bar itself.
+    
+        The 'constraintext' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'both', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constraintext"]
+
+    @constraintext.setter
+    def constraintext(self, val):
+        self["constraintext"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # error_x
+    # -------
+    @property
+    def error_x(self):
+        """
+        The 'error_x' property is an instance of ErrorX
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.ErrorX`
+          - A dict of string/value properties that will be passed
+            to the ErrorX constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                copy_ystyle
+    
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.ErrorX
+        """
+        return self["error_x"]
+
+    @error_x.setter
+    def error_x(self, val):
+        self["error_x"] = val
+
+    # error_y
+    # -------
+    @property
+    def error_y(self):
+        """
+        The 'error_y' property is an instance of ErrorY
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.ErrorY`
+          - A dict of string/value properties that will be passed
+            to the ErrorY constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.ErrorY
+        """
+        return self["error_y"]
+
+    @error_y.setter
+    def error_y(self, val):
+        self["error_y"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `value` and `label`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # insidetextanchor
+    # ----------------
+    @property
+    def insidetextanchor(self):
+        """
+        Determines if texts are kept at center or start/end points in
+        `textposition` "inside" mode.
+    
+        The 'insidetextanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['end', 'middle', 'start']
+
+        Returns
+        -------
+        Any
+        """
+        return self["insidetextanchor"]
+
+    @insidetextanchor.setter
+    def insidetextanchor(self, val):
+        self["insidetextanchor"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `text` lying inside the bar.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.bar.marker.ColorBa
+                    r` instance or dict with compatible properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.bar.marker.Line`
+                    instance or dict with compatible properties
+                opacity
+                    Sets the opacity of the bars.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        Shifts the position where the bar is drawn (in position axis
+        units). In "group" barmode, traces that set "offset" will be
+        excluded and drawn in "overlay" mode instead.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # offsetgroup
+    # -----------
+    @property
+    def offsetgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same offsetgroup where bars of the same position
+        coordinate will line up.
+    
+        The 'offsetgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetgroup"]
+
+    @offsetgroup.setter
+    def offsetgroup(self, val):
+        self["offsetgroup"] = val
+
+    # offsetsrc
+    # ---------
+    @property
+    def offsetsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  offset .
+    
+        The 'offsetsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetsrc"]
+
+    @offsetsrc.setter
+    def offsetsrc(self, val):
+        self["offsetsrc"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the bars. With "v" ("h"), the value of
+        the each bar spans along the vertical (horizontal).
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # outsidetextfont
+    # ---------------
+    @property
+    def outsidetextfont(self):
+        """
+        Sets the font used for `text` lying outside the bar.
+    
+        The 'outsidetextfont' property is an instance of Outsidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Outsidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Outsidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Outsidetextfont
+        """
+        return self["outsidetextfont"]
+
+    @outsidetextfont.setter
+    def outsidetextfont(self, val):
+        self["outsidetextfont"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        r coordinates in scatter traces are deprecated!Please switch to
+        the "scatterpolar" trace type.Sets the radial coordinatesfor
+        legacy polar chart only.
+    
+        The 'r' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # rsrc
+    # ----
+    @property
+    def rsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  r .
+    
+        The 'rsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["rsrc"]
+
+    @rsrc.setter
+    def rsrc(self, val):
+        self["rsrc"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.bar.selected.Marke
+                    r` instance or dict with compatible properties
+                textfont
+                    :class:`plotly.graph_objects.bar.selected.Textf
+                    ont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        t coordinates in scatter traces are deprecated!Please switch to
+        the "scatterpolar" trace type.Sets the angular coordinatesfor
+        legacy polar chart only.
+    
+        The 't' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textangle
+    # ---------
+    @property
+    def textangle(self):
+        """
+        Sets the angle of the tick labels with respect to the bar. For
+        example, a `tickangle` of -90 draws the tick labels vertically.
+        With "auto" the texts may automatically be rotated to fit with
+        the maximum size in bars.
+    
+        The 'textangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["textangle"]
+
+    @textangle.setter
+    def textangle(self, val):
+        self["textangle"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `text`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Specifies the location of the `text`. "inside" positions `text`
+        inside, next to the bar end (rotated and scaled if needed).
+        "outside" positions `text` outside, next to the bar end (scaled
+        if needed), unless there is another bar stacked on this one,
+        then the text gets pushed inside. "auto" tries to position
+        `text` inside the bar, but if the bar is too small and no bar
+        is stacked on this one the text is moved outside.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'auto', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `value` and `label`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # tsrc
+    # ----
+    @property
+    def tsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  t .
+    
+        The 'tsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tsrc"]
+
+    @tsrc.setter
+    def tsrc(self, val):
+        self["tsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.bar.unselected.Mar
+                    ker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.bar.unselected.Tex
+                    tfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.bar.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the bar width (in position axis units).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        base
+            Sets where the bar base is drawn (in position axis
+            units). In "stack" or "relative" barmode, traces that
+            set "base" will be excluded and drawn in "overlay" mode
+            instead.
+        basesrc
+            Sets the source reference on Chart Studio Cloud for
+            base .
+        cliponaxis
+            Determines whether the text nodes are clipped about the
+            subplot axes. To show the text nodes above axis lines
+            and tick labels, make sure to set `xaxis.layer` and
+            `yaxis.layer` to *below traces*.
+        constraintext
+            Constrain the size of text inside or outside a bar to
+            be no larger than the bar itself.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        error_x
+            :class:`plotly.graph_objects.bar.ErrorX` instance or
+            dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.bar.ErrorY` instance or
+            dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.bar.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `value` and `label`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextanchor
+            Determines if texts are kept at center or start/end
+            points in `textposition` "inside" mode.
+        insidetextfont
+            Sets the font used for `text` lying inside the bar.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.bar.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the position where the bar is drawn (in position
+            axis units). In "group" barmode, traces that set
+            "offset" will be excluded and drawn in "overlay" mode
+            instead.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        offsetsrc
+            Sets the source reference on Chart Studio Cloud for
+            offset .
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the bars. With "v" ("h"), the
+            value of the each bar spans along the vertical
+            (horizontal).
+        outsidetextfont
+            Sets the font used for `text` lying outside the bar.
+        r
+            r coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the radial
+            coordinatesfor legacy polar chart only.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.bar.Selected` instance or
+            dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.bar.Stream` instance or
+            dict with compatible properties
+        t
+            t coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the
+            angular coordinatesfor legacy polar chart only.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textangle
+            Sets the angle of the tick labels with respect to the
+            bar. For example, a `tickangle` of -90 draws the tick
+            labels vertically. With "auto" the texts may
+            automatically be rotated to fit with the maximum size
+            in bars.
+        textfont
+            Sets the font used for `text`.
+        textposition
+            Specifies the location of the `text`. "inside"
+            positions `text` inside, next to the bar end (rotated
+            and scaled if needed). "outside" positions `text`
+            outside, next to the bar end (scaled if needed), unless
+            there is another bar stacked on this one, then the text
+            gets pushed inside. "auto" tries to position `text`
+            inside the bar, but if the bar is too small and no bar
+            is stacked on this one the text is moved outside.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `value` and
+            `label`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        tsrc
+            Sets the source reference on Chart Studio Cloud for  t
+            .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.bar.Unselected` instance
+            or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar width (in position axis units).
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alignmentgroup=None,
+        base=None,
+        basesrc=None,
+        cliponaxis=None,
+        constraintext=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        error_x=None,
+        error_y=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        insidetextanchor=None,
+        insidetextfont=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        offset=None,
+        offsetgroup=None,
+        offsetsrc=None,
+        opacity=None,
+        orientation=None,
+        outsidetextfont=None,
+        r=None,
+        rsrc=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        t=None,
+        text=None,
+        textangle=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        tsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        width=None,
+        widthsrc=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ycalendar=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Bar object
+        
+        The data visualized by the span of the bars is set in `y` if
+        `orientation` is set th "v" (the default) and the labels are
+        set in `x`. By setting `orientation` to "h", the roles are
+        interchanged.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Bar`
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        base
+            Sets where the bar base is drawn (in position axis
+            units). In "stack" or "relative" barmode, traces that
+            set "base" will be excluded and drawn in "overlay" mode
+            instead.
+        basesrc
+            Sets the source reference on Chart Studio Cloud for
+            base .
+        cliponaxis
+            Determines whether the text nodes are clipped about the
+            subplot axes. To show the text nodes above axis lines
+            and tick labels, make sure to set `xaxis.layer` and
+            `yaxis.layer` to *below traces*.
+        constraintext
+            Constrain the size of text inside or outside a bar to
+            be no larger than the bar itself.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        error_x
+            :class:`plotly.graph_objects.bar.ErrorX` instance or
+            dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.bar.ErrorY` instance or
+            dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.bar.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `value` and `label`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextanchor
+            Determines if texts are kept at center or start/end
+            points in `textposition` "inside" mode.
+        insidetextfont
+            Sets the font used for `text` lying inside the bar.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.bar.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the position where the bar is drawn (in position
+            axis units). In "group" barmode, traces that set
+            "offset" will be excluded and drawn in "overlay" mode
+            instead.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        offsetsrc
+            Sets the source reference on Chart Studio Cloud for
+            offset .
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the bars. With "v" ("h"), the
+            value of the each bar spans along the vertical
+            (horizontal).
+        outsidetextfont
+            Sets the font used for `text` lying outside the bar.
+        r
+            r coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the radial
+            coordinatesfor legacy polar chart only.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.bar.Selected` instance or
+            dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.bar.Stream` instance or
+            dict with compatible properties
+        t
+            t coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the
+            angular coordinatesfor legacy polar chart only.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textangle
+            Sets the angle of the tick labels with respect to the
+            bar. For example, a `tickangle` of -90 draws the tick
+            labels vertically. With "auto" the texts may
+            automatically be rotated to fit with the maximum size
+            in bars.
+        textfont
+            Sets the font used for `text`.
+        textposition
+            Specifies the location of the `text`. "inside"
+            positions `text` inside, next to the bar end (rotated
+            and scaled if needed). "outside" positions `text`
+            outside, next to the bar end (scaled if needed), unless
+            there is another bar stacked on this one, then the text
+            gets pushed inside. "auto" tries to position `text`
+            inside the bar, but if the bar is too small and no bar
+            is stacked on this one the text is moved outside.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `value` and
+            `label`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        tsrc
+            Sets the source reference on Chart Studio Cloud for  t
+            .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.bar.Unselected` instance
+            or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar width (in position axis units).
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Bar
+        """
+        super(Bar, self).__init__("bar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Bar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Bar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alignmentgroup", None)
+        _v = alignmentgroup if alignmentgroup is not None else _v
+        if _v is not None:
+            self["alignmentgroup"] = _v
+        _v = arg.pop("base", None)
+        _v = base if base is not None else _v
+        if _v is not None:
+            self["base"] = _v
+        _v = arg.pop("basesrc", None)
+        _v = basesrc if basesrc is not None else _v
+        if _v is not None:
+            self["basesrc"] = _v
+        _v = arg.pop("cliponaxis", None)
+        _v = cliponaxis if cliponaxis is not None else _v
+        if _v is not None:
+            self["cliponaxis"] = _v
+        _v = arg.pop("constraintext", None)
+        _v = constraintext if constraintext is not None else _v
+        if _v is not None:
+            self["constraintext"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("error_x", None)
+        _v = error_x if error_x is not None else _v
+        if _v is not None:
+            self["error_x"] = _v
+        _v = arg.pop("error_y", None)
+        _v = error_y if error_y is not None else _v
+        if _v is not None:
+            self["error_y"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("insidetextanchor", None)
+        _v = insidetextanchor if insidetextanchor is not None else _v
+        if _v is not None:
+            self["insidetextanchor"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("offsetgroup", None)
+        _v = offsetgroup if offsetgroup is not None else _v
+        if _v is not None:
+            self["offsetgroup"] = _v
+        _v = arg.pop("offsetsrc", None)
+        _v = offsetsrc if offsetsrc is not None else _v
+        if _v is not None:
+            self["offsetsrc"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("outsidetextfont", None)
+        _v = outsidetextfont if outsidetextfont is not None else _v
+        if _v is not None:
+            self["outsidetextfont"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("rsrc", None)
+        _v = rsrc if rsrc is not None else _v
+        if _v is not None:
+            self["rsrc"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textangle", None)
+        _v = textangle if textangle is not None else _v
+        if _v is not None:
+            self["textangle"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("tsrc", None)
+        _v = tsrc if tsrc is not None else _v
+        if _v is not None:
+            self["tsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "bar"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_barpolar.py b/packages/python/plotly/plotly/graph_objs/_barpolar.py
new file mode 100644
index 00000000000..c1b7597f455
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_barpolar.py
@@ -0,0 +1,1855 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Barpolar(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "barpolar"
+    _valid_props = {
+        "base",
+        "basesrc",
+        "customdata",
+        "customdatasrc",
+        "dr",
+        "dtheta",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "offset",
+        "offsetsrc",
+        "opacity",
+        "r",
+        "r0",
+        "rsrc",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "subplot",
+        "text",
+        "textsrc",
+        "theta",
+        "theta0",
+        "thetasrc",
+        "thetaunit",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "width",
+        "widthsrc",
+    }
+
+    # base
+    # ----
+    @property
+    def base(self):
+        """
+        Sets where the bar base is drawn (in radial axis units). In
+        "stack" barmode, traces that set "base" will be excluded and
+        drawn in "overlay" mode instead.
+    
+        The 'base' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["base"]
+
+    @base.setter
+    def base(self, val):
+        self["base"] = val
+
+    # basesrc
+    # -------
+    @property
+    def basesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  base .
+    
+        The 'basesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["basesrc"]
+
+    @basesrc.setter
+    def basesrc(self, val):
+        self["basesrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dr
+    # --
+    @property
+    def dr(self):
+        """
+        Sets the r coordinate step.
+    
+        The 'dr' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dr"]
+
+    @dr.setter
+    def dr(self, val):
+        self["dr"] = val
+
+    # dtheta
+    # ------
+    @property
+    def dtheta(self):
+        """
+        Sets the theta coordinate step. By default, the `dtheta` step
+        equals the subplot's period divided by the length of the `r`
+        coordinates.
+    
+        The 'dtheta' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtheta"]
+
+    @dtheta.setter
+    def dtheta(self, val):
+        self["dtheta"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
+            (e.g. 'r+theta')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.barpolar.marker.Co
+                    lorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.barpolar.marker.Li
+                    ne` instance or dict with compatible properties
+                opacity
+                    Sets the opacity of the bars.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        Shifts the angular position where the bar is drawn (in
+        "thetatunit" units).
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # offsetsrc
+    # ---------
+    @property
+    def offsetsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  offset .
+    
+        The 'offsetsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetsrc"]
+
+    @offsetsrc.setter
+    def offsetsrc(self, val):
+        self["offsetsrc"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        Sets the radial coordinates
+    
+        The 'r' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # r0
+    # --
+    @property
+    def r0(self):
+        """
+        Alternate to `r`. Builds a linear space of r coordinates. Use
+        with `dr` where `r0` is the starting coordinate and `dr` the
+        step.
+    
+        The 'r0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["r0"]
+
+    @r0.setter
+    def r0(self, val):
+        self["r0"] = val
+
+    # rsrc
+    # ----
+    @property
+    def rsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  r .
+    
+        The 'rsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["rsrc"]
+
+    @rsrc.setter
+    def rsrc(self, val):
+        self["rsrc"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.barpolar.selected.
+                    Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.barpolar.selected.
+                    Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        polar subplot. If "polar" (the default value), the data refer
+        to `layout.polar`. If "polar2", the data refer to
+        `layout.polar2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'polar', that may be specified as the string 'polar'
+        optionally followed by an integer >= 1
+        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets hover text elements associated with each bar. If a single
+        string, the same string appears over all bars. If an array of
+        string, the items are mapped in order to the this trace's
+        coordinates.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # theta
+    # -----
+    @property
+    def theta(self):
+        """
+        Sets the angular coordinates
+    
+        The 'theta' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["theta"]
+
+    @theta.setter
+    def theta(self, val):
+        self["theta"] = val
+
+    # theta0
+    # ------
+    @property
+    def theta0(self):
+        """
+        Alternate to `theta`. Builds a linear space of theta
+        coordinates. Use with `dtheta` where `theta0` is the starting
+        coordinate and `dtheta` the step.
+    
+        The 'theta0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["theta0"]
+
+    @theta0.setter
+    def theta0(self, val):
+        self["theta0"] = val
+
+    # thetasrc
+    # --------
+    @property
+    def thetasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  theta .
+    
+        The 'thetasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["thetasrc"]
+
+    @thetasrc.setter
+    def thetasrc(self, val):
+        self["thetasrc"] = val
+
+    # thetaunit
+    # ---------
+    @property
+    def thetaunit(self):
+        """
+        Sets the unit of input "theta" values. Has an effect only when
+        on "linear" angular axes.
+    
+        The 'thetaunit' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radians', 'degrees', 'gradians']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thetaunit"]
+
+    @thetaunit.setter
+    def thetaunit(self, val):
+        self["thetaunit"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.barpolar.unselecte
+                    d.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.barpolar.unselecte
+                    d.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the bar angular width (in "thetaunit" units).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        base
+            Sets where the bar base is drawn (in radial axis
+            units). In "stack" barmode, traces that set "base" will
+            be excluded and drawn in "overlay" mode instead.
+        basesrc
+            Sets the source reference on Chart Studio Cloud for
+            base .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dr
+            Sets the r coordinate step.
+        dtheta
+            Sets the theta coordinate step. By default, the
+            `dtheta` step equals the subplot's period divided by
+            the length of the `r` coordinates.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.barpolar.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.barpolar.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the angular position where the bar is drawn (in
+            "thetatunit" units).
+        offsetsrc
+            Sets the source reference on Chart Studio Cloud for
+            offset .
+        opacity
+            Sets the opacity of the trace.
+        r
+            Sets the radial coordinates
+        r0
+            Alternate to `r`. Builds a linear space of r
+            coordinates. Use with `dr` where `r0` is the starting
+            coordinate and `dr` the step.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.barpolar.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.barpolar.Stream` instance
+            or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a polar subplot. If "polar" (the default value),
+            the data refer to `layout.polar`. If "polar2", the data
+            refer to `layout.polar2`, and so on.
+        text
+            Sets hover text elements associated with each bar. If a
+            single string, the same string appears over all bars.
+            If an array of string, the items are mapped in order to
+            the this trace's coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        theta
+            Sets the angular coordinates
+        theta0
+            Alternate to `theta`. Builds a linear space of theta
+            coordinates. Use with `dtheta` where `theta0` is the
+            starting coordinate and `dtheta` the step.
+        thetasrc
+            Sets the source reference on Chart Studio Cloud for
+            theta .
+        thetaunit
+            Sets the unit of input "theta" values. Has an effect
+            only when on "linear" angular axes.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.barpolar.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar angular width (in "thetaunit" units).
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        base=None,
+        basesrc=None,
+        customdata=None,
+        customdatasrc=None,
+        dr=None,
+        dtheta=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        offset=None,
+        offsetsrc=None,
+        opacity=None,
+        r=None,
+        r0=None,
+        rsrc=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        subplot=None,
+        text=None,
+        textsrc=None,
+        theta=None,
+        theta0=None,
+        thetasrc=None,
+        thetaunit=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Barpolar object
+        
+        The data visualized by the radial span of the bars is set in
+        `r`
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Barpolar`
+        base
+            Sets where the bar base is drawn (in radial axis
+            units). In "stack" barmode, traces that set "base" will
+            be excluded and drawn in "overlay" mode instead.
+        basesrc
+            Sets the source reference on Chart Studio Cloud for
+            base .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dr
+            Sets the r coordinate step.
+        dtheta
+            Sets the theta coordinate step. By default, the
+            `dtheta` step equals the subplot's period divided by
+            the length of the `r` coordinates.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.barpolar.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.barpolar.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the angular position where the bar is drawn (in
+            "thetatunit" units).
+        offsetsrc
+            Sets the source reference on Chart Studio Cloud for
+            offset .
+        opacity
+            Sets the opacity of the trace.
+        r
+            Sets the radial coordinates
+        r0
+            Alternate to `r`. Builds a linear space of r
+            coordinates. Use with `dr` where `r0` is the starting
+            coordinate and `dr` the step.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.barpolar.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.barpolar.Stream` instance
+            or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a polar subplot. If "polar" (the default value),
+            the data refer to `layout.polar`. If "polar2", the data
+            refer to `layout.polar2`, and so on.
+        text
+            Sets hover text elements associated with each bar. If a
+            single string, the same string appears over all bars.
+            If an array of string, the items are mapped in order to
+            the this trace's coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        theta
+            Sets the angular coordinates
+        theta0
+            Alternate to `theta`. Builds a linear space of theta
+            coordinates. Use with `dtheta` where `theta0` is the
+            starting coordinate and `dtheta` the step.
+        thetasrc
+            Sets the source reference on Chart Studio Cloud for
+            theta .
+        thetaunit
+            Sets the unit of input "theta" values. Has an effect
+            only when on "linear" angular axes.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.barpolar.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar angular width (in "thetaunit" units).
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Barpolar
+        """
+        super(Barpolar, self).__init__("barpolar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Barpolar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Barpolar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("base", None)
+        _v = base if base is not None else _v
+        if _v is not None:
+            self["base"] = _v
+        _v = arg.pop("basesrc", None)
+        _v = basesrc if basesrc is not None else _v
+        if _v is not None:
+            self["basesrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dr", None)
+        _v = dr if dr is not None else _v
+        if _v is not None:
+            self["dr"] = _v
+        _v = arg.pop("dtheta", None)
+        _v = dtheta if dtheta is not None else _v
+        if _v is not None:
+            self["dtheta"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("offsetsrc", None)
+        _v = offsetsrc if offsetsrc is not None else _v
+        if _v is not None:
+            self["offsetsrc"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("r0", None)
+        _v = r0 if r0 is not None else _v
+        if _v is not None:
+            self["r0"] = _v
+        _v = arg.pop("rsrc", None)
+        _v = rsrc if rsrc is not None else _v
+        if _v is not None:
+            self["rsrc"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("theta", None)
+        _v = theta if theta is not None else _v
+        if _v is not None:
+            self["theta"] = _v
+        _v = arg.pop("theta0", None)
+        _v = theta0 if theta0 is not None else _v
+        if _v is not None:
+            self["theta0"] = _v
+        _v = arg.pop("thetasrc", None)
+        _v = thetasrc if thetasrc is not None else _v
+        if _v is not None:
+            self["thetasrc"] = _v
+        _v = arg.pop("thetaunit", None)
+        _v = thetaunit if thetaunit is not None else _v
+        if _v is not None:
+            self["thetaunit"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "barpolar"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_box.py b/packages/python/plotly/plotly/graph_objs/_box.py
new file mode 100644
index 00000000000..c0f5d6af551
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_box.py
@@ -0,0 +1,2943 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Box(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "box"
+    _valid_props = {
+        "alignmentgroup",
+        "boxmean",
+        "boxpoints",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoveron",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "jitter",
+        "legendgroup",
+        "line",
+        "lowerfence",
+        "lowerfencesrc",
+        "marker",
+        "mean",
+        "meansrc",
+        "median",
+        "mediansrc",
+        "meta",
+        "metasrc",
+        "name",
+        "notched",
+        "notchspan",
+        "notchspansrc",
+        "notchwidth",
+        "offsetgroup",
+        "opacity",
+        "orientation",
+        "pointpos",
+        "q1",
+        "q1src",
+        "q3",
+        "q3src",
+        "quartilemethod",
+        "sd",
+        "sdsrc",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "upperfence",
+        "upperfencesrc",
+        "visible",
+        "whiskerwidth",
+        "width",
+        "x",
+        "x0",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ycalendar",
+        "ysrc",
+    }
+
+    # alignmentgroup
+    # --------------
+    @property
+    def alignmentgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same alignmentgroup. This controls whether bars
+        compute their positional range dependently or independently.
+    
+        The 'alignmentgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["alignmentgroup"]
+
+    @alignmentgroup.setter
+    def alignmentgroup(self, val):
+        self["alignmentgroup"] = val
+
+    # boxmean
+    # -------
+    @property
+    def boxmean(self):
+        """
+        If True, the mean of the box(es)' underlying distribution is
+        drawn as a dashed line inside the box(es). If "sd" the standard
+        deviation is also drawn. Defaults to True when `mean` is set.
+        Defaults to "sd" when `sd` is set Otherwise defaults to False.
+    
+        The 'boxmean' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, 'sd', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["boxmean"]
+
+    @boxmean.setter
+    def boxmean(self, val):
+        self["boxmean"] = val
+
+    # boxpoints
+    # ---------
+    @property
+    def boxpoints(self):
+        """
+        If "outliers", only the sample points lying outside the
+        whiskers are shown If "suspectedoutliers", the outlier points
+        are shown and points either less than 4*Q1-3*Q3 or greater than
+        4*Q3-3*Q1 are highlighted (see `outliercolor`) If "all", all
+        sample points are shown If False, only the box(es) are shown
+        with no sample points Defaults to "suspectedoutliers" when
+        `marker.outliercolor` or `marker.line.outliercolor` is set.
+        Defaults to "all" under the q1/median/q3 signature. Otherwise
+        defaults to "outliers".
+    
+        The 'boxpoints' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'outliers', 'suspectedoutliers', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["boxpoints"]
+
+    @boxpoints.setter
+    def boxpoints(self, val):
+        self["boxpoints"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step for multi-box traces set using
+        q1/median/q3.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step for multi-box traces set using
+        q1/median/q3.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.box.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Do the hover effects highlight individual boxes  or sample
+        points or both?
+    
+        The 'hoveron' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['boxes', 'points'] joined with '+' characters
+            (e.g. 'boxes+points')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # jitter
+    # ------
+    @property
+    def jitter(self):
+        """
+        Sets the amount of jitter in the sample points drawn. If 0, the
+        sample points align along the distribution axis. If 1, the
+        sample points are drawn in a random jitter of width equal to
+        the width of the box(es).
+    
+        The 'jitter' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["jitter"]
+
+    @jitter.setter
+    def jitter(self, val):
+        self["jitter"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of line bounding the box(es).
+                width
+                    Sets the width (in px) of line bounding the
+                    box(es).
+
+        Returns
+        -------
+        plotly.graph_objs.box.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # lowerfence
+    # ----------
+    @property
+    def lowerfence(self):
+        """
+        Sets the lower fence values. There should be as many items as
+        the number of boxes desired. This attribute has effect only
+        under the q1/median/q3 signature. If `lowerfence` is not
+        provided but a sample (in `y` or `x`) is set, we compute the
+        lower as the last sample point below 1.5 times the IQR.
+    
+        The 'lowerfence' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lowerfence"]
+
+    @lowerfence.setter
+    def lowerfence(self, val):
+        self["lowerfence"] = val
+
+    # lowerfencesrc
+    # -------------
+    @property
+    def lowerfencesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lowerfence
+        .
+    
+        The 'lowerfencesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["lowerfencesrc"]
+
+    @lowerfencesrc.setter
+    def lowerfencesrc(self, val):
+        self["lowerfencesrc"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                line
+                    :class:`plotly.graph_objects.box.marker.Line`
+                    instance or dict with compatible properties
+                opacity
+                    Sets the marker opacity.
+                outliercolor
+                    Sets the color of the outlier sample points.
+                size
+                    Sets the marker size (in px).
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+
+        Returns
+        -------
+        plotly.graph_objs.box.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # mean
+    # ----
+    @property
+    def mean(self):
+        """
+        Sets the mean values. There should be as many items as the
+        number of boxes desired. This attribute has effect only under
+        the q1/median/q3 signature. If `mean` is not provided but a
+        sample (in `y` or `x`) is set, we compute the mean for each box
+        using the sample values.
+    
+        The 'mean' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["mean"]
+
+    @mean.setter
+    def mean(self, val):
+        self["mean"] = val
+
+    # meansrc
+    # -------
+    @property
+    def meansrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  mean .
+    
+        The 'meansrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["meansrc"]
+
+    @meansrc.setter
+    def meansrc(self, val):
+        self["meansrc"] = val
+
+    # median
+    # ------
+    @property
+    def median(self):
+        """
+        Sets the median values. There should be as many items as the
+        number of boxes desired.
+    
+        The 'median' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["median"]
+
+    @median.setter
+    def median(self, val):
+        self["median"] = val
+
+    # mediansrc
+    # ---------
+    @property
+    def mediansrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  median .
+    
+        The 'mediansrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["mediansrc"]
+
+    @mediansrc.setter
+    def mediansrc(self, val):
+        self["mediansrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover. For box traces, the name will also be used for
+        the position coordinate, if `x` and `x0` (`y` and `y0` if
+        horizontal) are missing and the position axis is categorical
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # notched
+    # -------
+    @property
+    def notched(self):
+        """
+        Determines whether or not notches are drawn. Notches displays a
+        confidence interval around the median. We compute the
+        confidence interval as median +/- 1.57 * IQR / sqrt(N), where
+        IQR is the interquartile range and N is the sample size. If two
+        boxes' notches do not overlap there is 95% confidence their
+        medians differ. See
+        https://sites.google.com/site/davidsstatistics/home/notched-
+        box-plots for more info. Defaults to False unless `notchwidth`
+        or `notchspan` is set.
+    
+        The 'notched' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["notched"]
+
+    @notched.setter
+    def notched(self, val):
+        self["notched"] = val
+
+    # notchspan
+    # ---------
+    @property
+    def notchspan(self):
+        """
+        Sets the notch span from the boxes' `median` values. There
+        should be as many items as the number of boxes desired. This
+        attribute has effect only under the q1/median/q3 signature. If
+        `notchspan` is not provided but a sample (in `y` or `x`) is
+        set, we compute it as 1.57 * IQR / sqrt(N), where N is the
+        sample size.
+    
+        The 'notchspan' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["notchspan"]
+
+    @notchspan.setter
+    def notchspan(self, val):
+        self["notchspan"] = val
+
+    # notchspansrc
+    # ------------
+    @property
+    def notchspansrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  notchspan
+        .
+    
+        The 'notchspansrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["notchspansrc"]
+
+    @notchspansrc.setter
+    def notchspansrc(self, val):
+        self["notchspansrc"] = val
+
+    # notchwidth
+    # ----------
+    @property
+    def notchwidth(self):
+        """
+        Sets the width of the notches relative to the box' width. For
+        example, with 0, the notches are as wide as the box(es).
+    
+        The 'notchwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, 0.5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["notchwidth"]
+
+    @notchwidth.setter
+    def notchwidth(self, val):
+        self["notchwidth"] = val
+
+    # offsetgroup
+    # -----------
+    @property
+    def offsetgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same offsetgroup where bars of the same position
+        coordinate will line up.
+    
+        The 'offsetgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetgroup"]
+
+    @offsetgroup.setter
+    def offsetgroup(self, val):
+        self["offsetgroup"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the box(es). If "v" ("h"), the
+        distribution is visualized along the vertical (horizontal).
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # pointpos
+    # --------
+    @property
+    def pointpos(self):
+        """
+        Sets the position of the sample points in relation to the
+        box(es). If 0, the sample points are places over the center of
+        the box(es). Positive (negative) values correspond to positions
+        to the right (left) for vertical boxes and above (below) for
+        horizontal boxes
+    
+        The 'pointpos' property is a number and may be specified as:
+          - An int or float in the interval [-2, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["pointpos"]
+
+    @pointpos.setter
+    def pointpos(self, val):
+        self["pointpos"] = val
+
+    # q1
+    # --
+    @property
+    def q1(self):
+        """
+        Sets the Quartile 1 values. There should be as many items as
+        the number of boxes desired.
+    
+        The 'q1' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["q1"]
+
+    @q1.setter
+    def q1(self, val):
+        self["q1"] = val
+
+    # q1src
+    # -----
+    @property
+    def q1src(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  q1 .
+    
+        The 'q1src' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["q1src"]
+
+    @q1src.setter
+    def q1src(self, val):
+        self["q1src"] = val
+
+    # q3
+    # --
+    @property
+    def q3(self):
+        """
+        Sets the Quartile 3 values. There should be as many items as
+        the number of boxes desired.
+    
+        The 'q3' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["q3"]
+
+    @q3.setter
+    def q3(self, val):
+        self["q3"] = val
+
+    # q3src
+    # -----
+    @property
+    def q3src(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  q3 .
+    
+        The 'q3src' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["q3src"]
+
+    @q3src.setter
+    def q3src(self, val):
+        self["q3src"] = val
+
+    # quartilemethod
+    # --------------
+    @property
+    def quartilemethod(self):
+        """
+        Sets the method used to compute the sample's Q1 and Q3
+        quartiles. The "linear" method uses the 25th percentile for Q1
+        and 75th percentile for Q3 as computed using method #10 (listed
+        on http://www.amstat.org/publications/jse/v14n3/langford.html).
+        The "exclusive" method uses the median to divide the ordered
+        dataset into two halves if the sample is odd, it does not
+        include the median in either half - Q1 is then the median of
+        the lower half and Q3 the median of the upper half. The
+        "inclusive" method also uses the median to divide the ordered
+        dataset into two halves but if the sample is odd, it includes
+        the median in both halves - Q1 is then the median of the lower
+        half and Q3 the median of the upper half.
+    
+        The 'quartilemethod' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'exclusive', 'inclusive']
+
+        Returns
+        -------
+        Any
+        """
+        return self["quartilemethod"]
+
+    @quartilemethod.setter
+    def quartilemethod(self, val):
+        self["quartilemethod"] = val
+
+    # sd
+    # --
+    @property
+    def sd(self):
+        """
+        Sets the standard deviation values. There should be as many
+        items as the number of boxes desired. This attribute has effect
+        only under the q1/median/q3 signature. If `sd` is not provided
+        but a sample (in `y` or `x`) is set, we compute the standard
+        deviation for each box using the sample values.
+    
+        The 'sd' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["sd"]
+
+    @sd.setter
+    def sd(self, val):
+        self["sd"] = val
+
+    # sdsrc
+    # -----
+    @property
+    def sdsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  sd .
+    
+        The 'sdsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sdsrc"]
+
+    @sdsrc.setter
+    def sdsrc(self, val):
+        self["sdsrc"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.box.selected.Marke
+                    r` instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.box.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.box.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each sample value. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.box.unselected.Mar
+                    ker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.box.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # upperfence
+    # ----------
+    @property
+    def upperfence(self):
+        """
+        Sets the upper fence values. There should be as many items as
+        the number of boxes desired. This attribute has effect only
+        under the q1/median/q3 signature. If `upperfence` is not
+        provided but a sample (in `y` or `x`) is set, we compute the
+        lower as the last sample point above 1.5 times the IQR.
+    
+        The 'upperfence' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["upperfence"]
+
+    @upperfence.setter
+    def upperfence(self, val):
+        self["upperfence"] = val
+
+    # upperfencesrc
+    # -------------
+    @property
+    def upperfencesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  upperfence
+        .
+    
+        The 'upperfencesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["upperfencesrc"]
+
+    @upperfencesrc.setter
+    def upperfencesrc(self, val):
+        self["upperfencesrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # whiskerwidth
+    # ------------
+    @property
+    def whiskerwidth(self):
+        """
+        Sets the width of the whiskers relative to the box' width. For
+        example, with 1, the whiskers are as wide as the box(es).
+    
+        The 'whiskerwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["whiskerwidth"]
+
+    @whiskerwidth.setter
+    def whiskerwidth(self, val):
+        self["whiskerwidth"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the box in data coordinate If 0 (default
+        value) the width is automatically selected based on the
+        positions of other box traces in the same subplot.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x sample data or coordinates. See overview for more
+        info.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Sets the x coordinate for single-box traces or the starting
+        coordinate for multi-box traces set using q1/median/q3. See
+        overview for more info.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y sample data or coordinates. See overview for more
+        info.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Sets the y coordinate for single-box traces or the starting
+        coordinate for multi-box traces set using q1/median/q3. See
+        overview for more info.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        boxmean
+            If True, the mean of the box(es)' underlying
+            distribution is drawn as a dashed line inside the
+            box(es). If "sd" the standard deviation is also drawn.
+            Defaults to True when `mean` is set. Defaults to "sd"
+            when `sd` is set Otherwise defaults to False.
+        boxpoints
+            If "outliers", only the sample points lying outside the
+            whiskers are shown If "suspectedoutliers", the outlier
+            points are shown and points either less than 4*Q1-3*Q3
+            or greater than 4*Q3-3*Q1 are highlighted (see
+            `outliercolor`) If "all", all sample points are shown
+            If False, only the box(es) are shown with no sample
+            points Defaults to "suspectedoutliers" when
+            `marker.outliercolor` or `marker.line.outliercolor` is
+            set. Defaults to "all" under the q1/median/q3
+            signature. Otherwise defaults to "outliers".
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step for multi-box traces set
+            using q1/median/q3.
+        dy
+            Sets the y coordinate step for multi-box traces set
+            using q1/median/q3.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.box.Hoverlabel` instance
+            or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual boxes  or
+            sample points or both?
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        jitter
+            Sets the amount of jitter in the sample points drawn.
+            If 0, the sample points align along the distribution
+            axis. If 1, the sample points are drawn in a random
+            jitter of width equal to the width of the box(es).
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.box.Line` instance or dict
+            with compatible properties
+        lowerfence
+            Sets the lower fence values. There should be as many
+            items as the number of boxes desired. This attribute
+            has effect only under the q1/median/q3 signature. If
+            `lowerfence` is not provided but a sample (in `y` or
+            `x`) is set, we compute the lower as the last sample
+            point below 1.5 times the IQR.
+        lowerfencesrc
+            Sets the source reference on Chart Studio Cloud for
+            lowerfence .
+        marker
+            :class:`plotly.graph_objects.box.Marker` instance or
+            dict with compatible properties
+        mean
+            Sets the mean values. There should be as many items as
+            the number of boxes desired. This attribute has effect
+            only under the q1/median/q3 signature. If `mean` is not
+            provided but a sample (in `y` or `x`) is set, we
+            compute the mean for each box using the sample values.
+        meansrc
+            Sets the source reference on Chart Studio Cloud for
+            mean .
+        median
+            Sets the median values. There should be as many items
+            as the number of boxes desired.
+        mediansrc
+            Sets the source reference on Chart Studio Cloud for
+            median .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover. For box traces, the name will
+            also be used for the position coordinate, if `x` and
+            `x0` (`y` and `y0` if horizontal) are missing and the
+            position axis is categorical
+        notched
+            Determines whether or not notches are drawn. Notches
+            displays a confidence interval around the median. We
+            compute the confidence interval as median +/- 1.57 *
+            IQR / sqrt(N), where IQR is the interquartile range and
+            N is the sample size. If two boxes' notches do not
+            overlap there is 95% confidence their medians differ.
+            See https://sites.google.com/site/davidsstatistics/home
+            /notched-box-plots for more info. Defaults to False
+            unless `notchwidth` or `notchspan` is set.
+        notchspan
+            Sets the notch span from the boxes' `median` values.
+            There should be as many items as the number of boxes
+            desired. This attribute has effect only under the
+            q1/median/q3 signature. If `notchspan` is not provided
+            but a sample (in `y` or `x`) is set, we compute it as
+            1.57 * IQR / sqrt(N), where N is the sample size.
+        notchspansrc
+            Sets the source reference on Chart Studio Cloud for
+            notchspan .
+        notchwidth
+            Sets the width of the notches relative to the box'
+            width. For example, with 0, the notches are as wide as
+            the box(es).
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the box(es). If "v" ("h"), the
+            distribution is visualized along the vertical
+            (horizontal).
+        pointpos
+            Sets the position of the sample points in relation to
+            the box(es). If 0, the sample points are places over
+            the center of the box(es). Positive (negative) values
+            correspond to positions to the right (left) for
+            vertical boxes and above (below) for horizontal boxes
+        q1
+            Sets the Quartile 1 values. There should be as many
+            items as the number of boxes desired.
+        q1src
+            Sets the source reference on Chart Studio Cloud for  q1
+            .
+        q3
+            Sets the Quartile 3 values. There should be as many
+            items as the number of boxes desired.
+        q3src
+            Sets the source reference on Chart Studio Cloud for  q3
+            .
+        quartilemethod
+            Sets the method used to compute the sample's Q1 and Q3
+            quartiles. The "linear" method uses the 25th percentile
+            for Q1 and 75th percentile for Q3 as computed using
+            method #10 (listed on http://www.amstat.org/publication
+            s/jse/v14n3/langford.html). The "exclusive" method uses
+            the median to divide the ordered dataset into two
+            halves if the sample is odd, it does not include the
+            median in either half - Q1 is then the median of the
+            lower half and Q3 the median of the upper half. The
+            "inclusive" method also uses the median to divide the
+            ordered dataset into two halves but if the sample is
+            odd, it includes the median in both halves - Q1 is then
+            the median of the lower half and Q3 the median of the
+            upper half.
+        sd
+            Sets the standard deviation values. There should be as
+            many items as the number of boxes desired. This
+            attribute has effect only under the q1/median/q3
+            signature. If `sd` is not provided but a sample (in `y`
+            or `x`) is set, we compute the standard deviation for
+            each box using the sample values.
+        sdsrc
+            Sets the source reference on Chart Studio Cloud for  sd
+            .
+        selected
+            :class:`plotly.graph_objects.box.Selected` instance or
+            dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.box.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with each sample
+            value. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.box.Unselected` instance
+            or dict with compatible properties
+        upperfence
+            Sets the upper fence values. There should be as many
+            items as the number of boxes desired. This attribute
+            has effect only under the q1/median/q3 signature. If
+            `upperfence` is not provided but a sample (in `y` or
+            `x`) is set, we compute the lower as the last sample
+            point above 1.5 times the IQR.
+        upperfencesrc
+            Sets the source reference on Chart Studio Cloud for
+            upperfence .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        whiskerwidth
+            Sets the width of the whiskers relative to the box'
+            width. For example, with 1, the whiskers are as wide as
+            the box(es).
+        width
+            Sets the width of the box in data coordinate If 0
+            (default value) the width is automatically selected
+            based on the positions of other box traces in the same
+            subplot.
+        x
+            Sets the x sample data or coordinates. See overview for
+            more info.
+        x0
+            Sets the x coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y sample data or coordinates. See overview for
+            more info.
+        y0
+            Sets the y coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alignmentgroup=None,
+        boxmean=None,
+        boxpoints=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoveron=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        jitter=None,
+        legendgroup=None,
+        line=None,
+        lowerfence=None,
+        lowerfencesrc=None,
+        marker=None,
+        mean=None,
+        meansrc=None,
+        median=None,
+        mediansrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        notched=None,
+        notchspan=None,
+        notchspansrc=None,
+        notchwidth=None,
+        offsetgroup=None,
+        opacity=None,
+        orientation=None,
+        pointpos=None,
+        q1=None,
+        q1src=None,
+        q3=None,
+        q3src=None,
+        quartilemethod=None,
+        sd=None,
+        sdsrc=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        upperfence=None,
+        upperfencesrc=None,
+        visible=None,
+        whiskerwidth=None,
+        width=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ycalendar=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Box object
+        
+        Each box spans from quartile 1 (Q1) to quartile 3 (Q3). The
+        second quartile (Q2, i.e. the median) is marked by a line
+        inside the box. The fences grow outward from the boxes' edges,
+        by default they span +/- 1.5 times the interquartile range
+        (IQR: Q3-Q1), The sample mean and standard deviation as well as
+        notches and the sample, outlier and suspected outliers points
+        can be optionally added to the box plot. The values and
+        positions corresponding to each boxes can be input using two
+        signatures. The first signature expects users to supply the
+        sample values in the `y` data array for vertical boxes (`x` for
+        horizontal boxes). By supplying an `x` (`y`) array, one box per
+        distinct `x` (`y`) value is drawn If no `x` (`y`) list is
+        provided, a single box is drawn. In this case, the box is
+        positioned with the trace `name` or with `x0` (`y0`) if
+        provided. The second signature expects users to supply the
+        boxes corresponding Q1, median and Q3 statistics in the `q1`,
+        `median` and `q3` data arrays respectively. Other box features
+        relying on statistics namely `lowerfence`, `upperfence`,
+        `notchspan` can be set directly by the users. To have plotly
+        compute them or to show sample points besides the boxes, users
+        can set the `y` data array for vertical boxes (`x` for
+        horizontal boxes) to a 2D array with the outer length
+        corresponding to the number of boxes in the traces and the
+        inner length corresponding the sample size.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Box`
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        boxmean
+            If True, the mean of the box(es)' underlying
+            distribution is drawn as a dashed line inside the
+            box(es). If "sd" the standard deviation is also drawn.
+            Defaults to True when `mean` is set. Defaults to "sd"
+            when `sd` is set Otherwise defaults to False.
+        boxpoints
+            If "outliers", only the sample points lying outside the
+            whiskers are shown If "suspectedoutliers", the outlier
+            points are shown and points either less than 4*Q1-3*Q3
+            or greater than 4*Q3-3*Q1 are highlighted (see
+            `outliercolor`) If "all", all sample points are shown
+            If False, only the box(es) are shown with no sample
+            points Defaults to "suspectedoutliers" when
+            `marker.outliercolor` or `marker.line.outliercolor` is
+            set. Defaults to "all" under the q1/median/q3
+            signature. Otherwise defaults to "outliers".
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step for multi-box traces set
+            using q1/median/q3.
+        dy
+            Sets the y coordinate step for multi-box traces set
+            using q1/median/q3.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.box.Hoverlabel` instance
+            or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual boxes  or
+            sample points or both?
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        jitter
+            Sets the amount of jitter in the sample points drawn.
+            If 0, the sample points align along the distribution
+            axis. If 1, the sample points are drawn in a random
+            jitter of width equal to the width of the box(es).
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.box.Line` instance or dict
+            with compatible properties
+        lowerfence
+            Sets the lower fence values. There should be as many
+            items as the number of boxes desired. This attribute
+            has effect only under the q1/median/q3 signature. If
+            `lowerfence` is not provided but a sample (in `y` or
+            `x`) is set, we compute the lower as the last sample
+            point below 1.5 times the IQR.
+        lowerfencesrc
+            Sets the source reference on Chart Studio Cloud for
+            lowerfence .
+        marker
+            :class:`plotly.graph_objects.box.Marker` instance or
+            dict with compatible properties
+        mean
+            Sets the mean values. There should be as many items as
+            the number of boxes desired. This attribute has effect
+            only under the q1/median/q3 signature. If `mean` is not
+            provided but a sample (in `y` or `x`) is set, we
+            compute the mean for each box using the sample values.
+        meansrc
+            Sets the source reference on Chart Studio Cloud for
+            mean .
+        median
+            Sets the median values. There should be as many items
+            as the number of boxes desired.
+        mediansrc
+            Sets the source reference on Chart Studio Cloud for
+            median .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover. For box traces, the name will
+            also be used for the position coordinate, if `x` and
+            `x0` (`y` and `y0` if horizontal) are missing and the
+            position axis is categorical
+        notched
+            Determines whether or not notches are drawn. Notches
+            displays a confidence interval around the median. We
+            compute the confidence interval as median +/- 1.57 *
+            IQR / sqrt(N), where IQR is the interquartile range and
+            N is the sample size. If two boxes' notches do not
+            overlap there is 95% confidence their medians differ.
+            See https://sites.google.com/site/davidsstatistics/home
+            /notched-box-plots for more info. Defaults to False
+            unless `notchwidth` or `notchspan` is set.
+        notchspan
+            Sets the notch span from the boxes' `median` values.
+            There should be as many items as the number of boxes
+            desired. This attribute has effect only under the
+            q1/median/q3 signature. If `notchspan` is not provided
+            but a sample (in `y` or `x`) is set, we compute it as
+            1.57 * IQR / sqrt(N), where N is the sample size.
+        notchspansrc
+            Sets the source reference on Chart Studio Cloud for
+            notchspan .
+        notchwidth
+            Sets the width of the notches relative to the box'
+            width. For example, with 0, the notches are as wide as
+            the box(es).
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the box(es). If "v" ("h"), the
+            distribution is visualized along the vertical
+            (horizontal).
+        pointpos
+            Sets the position of the sample points in relation to
+            the box(es). If 0, the sample points are places over
+            the center of the box(es). Positive (negative) values
+            correspond to positions to the right (left) for
+            vertical boxes and above (below) for horizontal boxes
+        q1
+            Sets the Quartile 1 values. There should be as many
+            items as the number of boxes desired.
+        q1src
+            Sets the source reference on Chart Studio Cloud for  q1
+            .
+        q3
+            Sets the Quartile 3 values. There should be as many
+            items as the number of boxes desired.
+        q3src
+            Sets the source reference on Chart Studio Cloud for  q3
+            .
+        quartilemethod
+            Sets the method used to compute the sample's Q1 and Q3
+            quartiles. The "linear" method uses the 25th percentile
+            for Q1 and 75th percentile for Q3 as computed using
+            method #10 (listed on http://www.amstat.org/publication
+            s/jse/v14n3/langford.html). The "exclusive" method uses
+            the median to divide the ordered dataset into two
+            halves if the sample is odd, it does not include the
+            median in either half - Q1 is then the median of the
+            lower half and Q3 the median of the upper half. The
+            "inclusive" method also uses the median to divide the
+            ordered dataset into two halves but if the sample is
+            odd, it includes the median in both halves - Q1 is then
+            the median of the lower half and Q3 the median of the
+            upper half.
+        sd
+            Sets the standard deviation values. There should be as
+            many items as the number of boxes desired. This
+            attribute has effect only under the q1/median/q3
+            signature. If `sd` is not provided but a sample (in `y`
+            or `x`) is set, we compute the standard deviation for
+            each box using the sample values.
+        sdsrc
+            Sets the source reference on Chart Studio Cloud for  sd
+            .
+        selected
+            :class:`plotly.graph_objects.box.Selected` instance or
+            dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.box.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with each sample
+            value. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.box.Unselected` instance
+            or dict with compatible properties
+        upperfence
+            Sets the upper fence values. There should be as many
+            items as the number of boxes desired. This attribute
+            has effect only under the q1/median/q3 signature. If
+            `upperfence` is not provided but a sample (in `y` or
+            `x`) is set, we compute the lower as the last sample
+            point above 1.5 times the IQR.
+        upperfencesrc
+            Sets the source reference on Chart Studio Cloud for
+            upperfence .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        whiskerwidth
+            Sets the width of the whiskers relative to the box'
+            width. For example, with 1, the whiskers are as wide as
+            the box(es).
+        width
+            Sets the width of the box in data coordinate If 0
+            (default value) the width is automatically selected
+            based on the positions of other box traces in the same
+            subplot.
+        x
+            Sets the x sample data or coordinates. See overview for
+            more info.
+        x0
+            Sets the x coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y sample data or coordinates. See overview for
+            more info.
+        y0
+            Sets the y coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Box
+        """
+        super(Box, self).__init__("box")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Box 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Box`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alignmentgroup", None)
+        _v = alignmentgroup if alignmentgroup is not None else _v
+        if _v is not None:
+            self["alignmentgroup"] = _v
+        _v = arg.pop("boxmean", None)
+        _v = boxmean if boxmean is not None else _v
+        if _v is not None:
+            self["boxmean"] = _v
+        _v = arg.pop("boxpoints", None)
+        _v = boxpoints if boxpoints is not None else _v
+        if _v is not None:
+            self["boxpoints"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("jitter", None)
+        _v = jitter if jitter is not None else _v
+        if _v is not None:
+            self["jitter"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("lowerfence", None)
+        _v = lowerfence if lowerfence is not None else _v
+        if _v is not None:
+            self["lowerfence"] = _v
+        _v = arg.pop("lowerfencesrc", None)
+        _v = lowerfencesrc if lowerfencesrc is not None else _v
+        if _v is not None:
+            self["lowerfencesrc"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("mean", None)
+        _v = mean if mean is not None else _v
+        if _v is not None:
+            self["mean"] = _v
+        _v = arg.pop("meansrc", None)
+        _v = meansrc if meansrc is not None else _v
+        if _v is not None:
+            self["meansrc"] = _v
+        _v = arg.pop("median", None)
+        _v = median if median is not None else _v
+        if _v is not None:
+            self["median"] = _v
+        _v = arg.pop("mediansrc", None)
+        _v = mediansrc if mediansrc is not None else _v
+        if _v is not None:
+            self["mediansrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("notched", None)
+        _v = notched if notched is not None else _v
+        if _v is not None:
+            self["notched"] = _v
+        _v = arg.pop("notchspan", None)
+        _v = notchspan if notchspan is not None else _v
+        if _v is not None:
+            self["notchspan"] = _v
+        _v = arg.pop("notchspansrc", None)
+        _v = notchspansrc if notchspansrc is not None else _v
+        if _v is not None:
+            self["notchspansrc"] = _v
+        _v = arg.pop("notchwidth", None)
+        _v = notchwidth if notchwidth is not None else _v
+        if _v is not None:
+            self["notchwidth"] = _v
+        _v = arg.pop("offsetgroup", None)
+        _v = offsetgroup if offsetgroup is not None else _v
+        if _v is not None:
+            self["offsetgroup"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("pointpos", None)
+        _v = pointpos if pointpos is not None else _v
+        if _v is not None:
+            self["pointpos"] = _v
+        _v = arg.pop("q1", None)
+        _v = q1 if q1 is not None else _v
+        if _v is not None:
+            self["q1"] = _v
+        _v = arg.pop("q1src", None)
+        _v = q1src if q1src is not None else _v
+        if _v is not None:
+            self["q1src"] = _v
+        _v = arg.pop("q3", None)
+        _v = q3 if q3 is not None else _v
+        if _v is not None:
+            self["q3"] = _v
+        _v = arg.pop("q3src", None)
+        _v = q3src if q3src is not None else _v
+        if _v is not None:
+            self["q3src"] = _v
+        _v = arg.pop("quartilemethod", None)
+        _v = quartilemethod if quartilemethod is not None else _v
+        if _v is not None:
+            self["quartilemethod"] = _v
+        _v = arg.pop("sd", None)
+        _v = sd if sd is not None else _v
+        if _v is not None:
+            self["sd"] = _v
+        _v = arg.pop("sdsrc", None)
+        _v = sdsrc if sdsrc is not None else _v
+        if _v is not None:
+            self["sdsrc"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("upperfence", None)
+        _v = upperfence if upperfence is not None else _v
+        if _v is not None:
+            self["upperfence"] = _v
+        _v = arg.pop("upperfencesrc", None)
+        _v = upperfencesrc if upperfencesrc is not None else _v
+        if _v is not None:
+            self["upperfencesrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("whiskerwidth", None)
+        _v = whiskerwidth if whiskerwidth is not None else _v
+        if _v is not None:
+            self["whiskerwidth"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "box"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_candlestick.py b/packages/python/plotly/plotly/graph_objs/_candlestick.py
new file mode 100644
index 00000000000..bfc9c8fe85f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_candlestick.py
@@ -0,0 +1,1584 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Candlestick(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "candlestick"
+    _valid_props = {
+        "close",
+        "closesrc",
+        "customdata",
+        "customdatasrc",
+        "decreasing",
+        "high",
+        "highsrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "increasing",
+        "legendgroup",
+        "line",
+        "low",
+        "lowsrc",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "open",
+        "opensrc",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "whiskerwidth",
+        "x",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "yaxis",
+    }
+
+    # close
+    # -----
+    @property
+    def close(self):
+        """
+        Sets the close values.
+    
+        The 'close' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["close"]
+
+    @close.setter
+    def close(self, val):
+        self["close"] = val
+
+    # closesrc
+    # --------
+    @property
+    def closesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  close .
+    
+        The 'closesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["closesrc"]
+
+    @closesrc.setter
+    def closesrc(self, val):
+        self["closesrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # decreasing
+    # ----------
+    @property
+    def decreasing(self):
+        """
+        The 'decreasing' property is an instance of Decreasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.Decreasing`
+          - A dict of string/value properties that will be passed
+            to the Decreasing constructor
+    
+            Supported dict properties:
+                
+                fillcolor
+                    Sets the fill color. Defaults to a half-
+                    transparent variant of the line color, marker
+                    color, or marker line color, whichever is
+                    available.
+                line
+                    :class:`plotly.graph_objects.candlestick.decrea
+                    sing.Line` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.Decreasing
+        """
+        return self["decreasing"]
+
+    @decreasing.setter
+    def decreasing(self, val):
+        self["decreasing"] = val
+
+    # high
+    # ----
+    @property
+    def high(self):
+        """
+        Sets the high values.
+    
+        The 'high' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["high"]
+
+    @high.setter
+    def high(self, val):
+        self["high"] = val
+
+    # highsrc
+    # -------
+    @property
+    def highsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  high .
+    
+        The 'highsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["highsrc"]
+
+    @highsrc.setter
+    def highsrc(self, val):
+        self["highsrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+                split
+                    Show hover information (open, close, high, low)
+                    in separate labels.
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # increasing
+    # ----------
+    @property
+    def increasing(self):
+        """
+        The 'increasing' property is an instance of Increasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.Increasing`
+          - A dict of string/value properties that will be passed
+            to the Increasing constructor
+    
+            Supported dict properties:
+                
+                fillcolor
+                    Sets the fill color. Defaults to a half-
+                    transparent variant of the line color, marker
+                    color, or marker line color, whichever is
+                    available.
+                line
+                    :class:`plotly.graph_objects.candlestick.increa
+                    sing.Line` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.Increasing
+        """
+        return self["increasing"]
+
+    @increasing.setter
+    def increasing(self, val):
+        self["increasing"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                width
+                    Sets the width (in px) of line bounding the
+                    box(es). Note that this style setting can also
+                    be set per direction via
+                    `increasing.line.width` and
+                    `decreasing.line.width`.
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # low
+    # ---
+    @property
+    def low(self):
+        """
+        Sets the low values.
+    
+        The 'low' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["low"]
+
+    @low.setter
+    def low(self, val):
+        self["low"] = val
+
+    # lowsrc
+    # ------
+    @property
+    def lowsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  low .
+    
+        The 'lowsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["lowsrc"]
+
+    @lowsrc.setter
+    def lowsrc(self, val):
+        self["lowsrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # open
+    # ----
+    @property
+    def open(self):
+        """
+        Sets the open values.
+    
+        The 'open' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["open"]
+
+    @open.setter
+    def open(self, val):
+        self["open"] = val
+
+    # opensrc
+    # -------
+    @property
+    def opensrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  open .
+    
+        The 'opensrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opensrc"]
+
+    @opensrc.setter
+    def opensrc(self, val):
+        self["opensrc"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets hover text elements associated with each sample point. If
+        a single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        this trace's sample points.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # whiskerwidth
+    # ------------
+    @property
+    def whiskerwidth(self):
+        """
+        Sets the width of the whiskers relative to the box' width. For
+        example, with 1, the whiskers are as wide as the box(es).
+    
+        The 'whiskerwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["whiskerwidth"]
+
+    @whiskerwidth.setter
+    def whiskerwidth(self, val):
+        self["whiskerwidth"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates. If absent, linear coordinate will be
+        generated.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        close
+            Sets the close values.
+        closesrc
+            Sets the source reference on Chart Studio Cloud for
+            close .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        decreasing
+            :class:`plotly.graph_objects.candlestick.Decreasing`
+            instance or dict with compatible properties
+        high
+            Sets the high values.
+        highsrc
+            Sets the source reference on Chart Studio Cloud for
+            high .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.candlestick.Hoverlabel`
+            instance or dict with compatible properties
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        increasing
+            :class:`plotly.graph_objects.candlestick.Increasing`
+            instance or dict with compatible properties
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.candlestick.Line` instance
+            or dict with compatible properties
+        low
+            Sets the low values.
+        lowsrc
+            Sets the source reference on Chart Studio Cloud for
+            low .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        open
+            Sets the open values.
+        opensrc
+            Sets the source reference on Chart Studio Cloud for
+            open .
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.candlestick.Stream`
+            instance or dict with compatible properties
+        text
+            Sets hover text elements associated with each sample
+            point. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to this trace's sample points.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        whiskerwidth
+            Sets the width of the whiskers relative to the box'
+            width. For example, with 1, the whiskers are as wide as
+            the box(es).
+        x
+            Sets the x coordinates. If absent, linear coordinate
+            will be generated.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        close=None,
+        closesrc=None,
+        customdata=None,
+        customdatasrc=None,
+        decreasing=None,
+        high=None,
+        highsrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        increasing=None,
+        legendgroup=None,
+        line=None,
+        low=None,
+        lowsrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        open=None,
+        opensrc=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        whiskerwidth=None,
+        x=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        yaxis=None,
+        **kwargs
+    ):
+        """
+        Construct a new Candlestick object
+        
+        The candlestick is a style of financial chart describing open,
+        high, low and close for a given `x` coordinate (most likely
+        time). The boxes represent the spread between the `open` and
+        `close` values and the lines represent the spread between the
+        `low` and `high` values Sample points where the close value is
+        higher (lower) then the open value are called increasing
+        (decreasing). By default, increasing candles are drawn in green
+        whereas decreasing are drawn in red.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Candlestick`
+        close
+            Sets the close values.
+        closesrc
+            Sets the source reference on Chart Studio Cloud for
+            close .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        decreasing
+            :class:`plotly.graph_objects.candlestick.Decreasing`
+            instance or dict with compatible properties
+        high
+            Sets the high values.
+        highsrc
+            Sets the source reference on Chart Studio Cloud for
+            high .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.candlestick.Hoverlabel`
+            instance or dict with compatible properties
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        increasing
+            :class:`plotly.graph_objects.candlestick.Increasing`
+            instance or dict with compatible properties
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.candlestick.Line` instance
+            or dict with compatible properties
+        low
+            Sets the low values.
+        lowsrc
+            Sets the source reference on Chart Studio Cloud for
+            low .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        open
+            Sets the open values.
+        opensrc
+            Sets the source reference on Chart Studio Cloud for
+            open .
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.candlestick.Stream`
+            instance or dict with compatible properties
+        text
+            Sets hover text elements associated with each sample
+            point. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to this trace's sample points.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        whiskerwidth
+            Sets the width of the whiskers relative to the box'
+            width. For example, with 1, the whiskers are as wide as
+            the box(es).
+        x
+            Sets the x coordinates. If absent, linear coordinate
+            will be generated.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+
+        Returns
+        -------
+        Candlestick
+        """
+        super(Candlestick, self).__init__("candlestick")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Candlestick 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Candlestick`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("close", None)
+        _v = close if close is not None else _v
+        if _v is not None:
+            self["close"] = _v
+        _v = arg.pop("closesrc", None)
+        _v = closesrc if closesrc is not None else _v
+        if _v is not None:
+            self["closesrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("decreasing", None)
+        _v = decreasing if decreasing is not None else _v
+        if _v is not None:
+            self["decreasing"] = _v
+        _v = arg.pop("high", None)
+        _v = high if high is not None else _v
+        if _v is not None:
+            self["high"] = _v
+        _v = arg.pop("highsrc", None)
+        _v = highsrc if highsrc is not None else _v
+        if _v is not None:
+            self["highsrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("increasing", None)
+        _v = increasing if increasing is not None else _v
+        if _v is not None:
+            self["increasing"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("low", None)
+        _v = low if low is not None else _v
+        if _v is not None:
+            self["low"] = _v
+        _v = arg.pop("lowsrc", None)
+        _v = lowsrc if lowsrc is not None else _v
+        if _v is not None:
+            self["lowsrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("open", None)
+        _v = open if open is not None else _v
+        if _v is not None:
+            self["open"] = _v
+        _v = arg.pop("opensrc", None)
+        _v = opensrc if opensrc is not None else _v
+        if _v is not None:
+            self["opensrc"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("whiskerwidth", None)
+        _v = whiskerwidth if whiskerwidth is not None else _v
+        if _v is not None:
+            self["whiskerwidth"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "candlestick"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_carpet.py b/packages/python/plotly/plotly/graph_objs/_carpet.py
new file mode 100644
index 00000000000..78a52f6556e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_carpet.py
@@ -0,0 +1,1759 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Carpet(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "carpet"
+    _valid_props = {
+        "a",
+        "a0",
+        "aaxis",
+        "asrc",
+        "b",
+        "b0",
+        "baxis",
+        "bsrc",
+        "carpet",
+        "cheaterslope",
+        "color",
+        "customdata",
+        "customdatasrc",
+        "da",
+        "db",
+        "font",
+        "ids",
+        "idssrc",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "stream",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xaxis",
+        "xsrc",
+        "y",
+        "yaxis",
+        "ysrc",
+    }
+
+    # a
+    # -
+    @property
+    def a(self):
+        """
+        An array containing values of the first parameter value
+    
+        The 'a' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["a"]
+
+    @a.setter
+    def a(self, val):
+        self["a"] = val
+
+    # a0
+    # --
+    @property
+    def a0(self):
+        """
+        Alternate to `a`. Builds a linear space of a coordinates. Use
+        with `da` where `a0` is the starting coordinate and `da` the
+        step.
+    
+        The 'a0' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["a0"]
+
+    @a0.setter
+    def a0(self, val):
+        self["a0"] = val
+
+    # aaxis
+    # -----
+    @property
+    def aaxis(self):
+        """
+        The 'aaxis' property is an instance of Aaxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.Aaxis`
+          - A dict of string/value properties that will be passed
+            to the Aaxis constructor
+    
+            Supported dict properties:
+                
+                arraydtick
+                    The stride between grid lines along the axis
+                arraytick0
+                    The starting index of grid lines along the axis
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`.
+                cheatertype
+    
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    The stride between grid lines along the axis
+                endline
+                    Determines whether or not a line is drawn at
+                    along the final value of this axis. If True,
+                    the end line is drawn on top of the grid lines.
+                endlinecolor
+                    Sets the line color of the end line.
+                endlinewidth
+                    Sets the width (in px) of the end line.
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                fixedrange
+                    Determines whether or not this axis is zoom-
+                    able. If true, then zoom is disabled.
+                gridcolor
+                    Sets the axis line color.
+                gridwidth
+                    Sets the width (in px) of the axis line.
+                labelpadding
+                    Extra padding between label and the axis
+                labelprefix
+                    Sets a axis label prefix.
+                labelsuffix
+                    Sets a axis label suffix.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                minorgridcolor
+                    Sets the color of the grid lines.
+                minorgridcount
+                    Sets the number of minor grid ticks per major
+                    grid tick
+                minorgridwidth
+                    Sets the width (in px) of the grid lines.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether axis labels are drawn on the
+                    low side, the high side, both, or neither side
+                    of the axis.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                smoothing
+    
+                startline
+                    Determines whether or not a line is drawn at
+                    along the starting value of this axis. If True,
+                    the start line is drawn on top of the grid
+                    lines.
+                startlinecolor
+                    Sets the line color of the start line.
+                startlinewidth
+                    Sets the width (in px) of the start line.
+                tick0
+                    The starting index of grid lines along the axis
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:  We add one item to d3's
+                    date formatter: "%{n}f" for fractional seconds
+                    with n digits. For example, *2016-10-13
+                    09:15:23.456* with tickformat "%H~%M~%S.%2f"
+                    would display "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.carpet.
+                    aaxis.Tickformatstop` instances or dicts with
+                    compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.carpet.aaxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of carpet.aaxis.tickformatstops
+                tickmode
+    
+                tickprefix
+                    Sets a tick label prefix.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                title
+                    :class:`plotly.graph_objects.carpet.aaxis.Title
+                    ` instance or dict with compatible properties
+                titlefont
+                    Deprecated: Please use carpet.aaxis.title.font
+                    instead. Sets this axis' title font. Note that
+                    the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleoffset
+                    Deprecated: Please use
+                    carpet.aaxis.title.offset instead. An
+                    additional amount by which to offset the title
+                    from the tick labels, given in pixels. Note
+                    that this used to be set by the now deprecated
+                    `titleoffset` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.Aaxis
+        """
+        return self["aaxis"]
+
+    @aaxis.setter
+    def aaxis(self, val):
+        self["aaxis"] = val
+
+    # asrc
+    # ----
+    @property
+    def asrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  a .
+    
+        The 'asrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["asrc"]
+
+    @asrc.setter
+    def asrc(self, val):
+        self["asrc"] = val
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        A two dimensional array of y coordinates at each carpet point.
+    
+        The 'b' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # b0
+    # --
+    @property
+    def b0(self):
+        """
+        Alternate to `b`. Builds a linear space of a coordinates. Use
+        with `db` where `b0` is the starting coordinate and `db` the
+        step.
+    
+        The 'b0' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["b0"]
+
+    @b0.setter
+    def b0(self, val):
+        self["b0"] = val
+
+    # baxis
+    # -----
+    @property
+    def baxis(self):
+        """
+        The 'baxis' property is an instance of Baxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.Baxis`
+          - A dict of string/value properties that will be passed
+            to the Baxis constructor
+    
+            Supported dict properties:
+                
+                arraydtick
+                    The stride between grid lines along the axis
+                arraytick0
+                    The starting index of grid lines along the axis
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`.
+                cheatertype
+    
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    The stride between grid lines along the axis
+                endline
+                    Determines whether or not a line is drawn at
+                    along the final value of this axis. If True,
+                    the end line is drawn on top of the grid lines.
+                endlinecolor
+                    Sets the line color of the end line.
+                endlinewidth
+                    Sets the width (in px) of the end line.
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                fixedrange
+                    Determines whether or not this axis is zoom-
+                    able. If true, then zoom is disabled.
+                gridcolor
+                    Sets the axis line color.
+                gridwidth
+                    Sets the width (in px) of the axis line.
+                labelpadding
+                    Extra padding between label and the axis
+                labelprefix
+                    Sets a axis label prefix.
+                labelsuffix
+                    Sets a axis label suffix.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                minorgridcolor
+                    Sets the color of the grid lines.
+                minorgridcount
+                    Sets the number of minor grid ticks per major
+                    grid tick
+                minorgridwidth
+                    Sets the width (in px) of the grid lines.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether axis labels are drawn on the
+                    low side, the high side, both, or neither side
+                    of the axis.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                smoothing
+    
+                startline
+                    Determines whether or not a line is drawn at
+                    along the starting value of this axis. If True,
+                    the start line is drawn on top of the grid
+                    lines.
+                startlinecolor
+                    Sets the line color of the start line.
+                startlinewidth
+                    Sets the width (in px) of the start line.
+                tick0
+                    The starting index of grid lines along the axis
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:  We add one item to d3's
+                    date formatter: "%{n}f" for fractional seconds
+                    with n digits. For example, *2016-10-13
+                    09:15:23.456* with tickformat "%H~%M~%S.%2f"
+                    would display "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.carpet.
+                    baxis.Tickformatstop` instances or dicts with
+                    compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.carpet.baxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of carpet.baxis.tickformatstops
+                tickmode
+    
+                tickprefix
+                    Sets a tick label prefix.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                title
+                    :class:`plotly.graph_objects.carpet.baxis.Title
+                    ` instance or dict with compatible properties
+                titlefont
+                    Deprecated: Please use carpet.baxis.title.font
+                    instead. Sets this axis' title font. Note that
+                    the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleoffset
+                    Deprecated: Please use
+                    carpet.baxis.title.offset instead. An
+                    additional amount by which to offset the title
+                    from the tick labels, given in pixels. Note
+                    that this used to be set by the now deprecated
+                    `titleoffset` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.Baxis
+        """
+        return self["baxis"]
+
+    @baxis.setter
+    def baxis(self, val):
+        self["baxis"] = val
+
+    # bsrc
+    # ----
+    @property
+    def bsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  b .
+    
+        The 'bsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bsrc"]
+
+    @bsrc.setter
+    def bsrc(self, val):
+        self["bsrc"] = val
+
+    # carpet
+    # ------
+    @property
+    def carpet(self):
+        """
+        An identifier for this carpet, so that `scattercarpet` and
+        `contourcarpet` traces can specify a carpet plot on which they
+        lie
+    
+        The 'carpet' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["carpet"]
+
+    @carpet.setter
+    def carpet(self, val):
+        self["carpet"] = val
+
+    # cheaterslope
+    # ------------
+    @property
+    def cheaterslope(self):
+        """
+        The shift applied to each successive row of data in creating a
+        cheater plot. Only used if `x` is been ommitted.
+    
+        The 'cheaterslope' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cheaterslope"]
+
+    @cheaterslope.setter
+    def cheaterslope(self, val):
+        self["cheaterslope"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # da
+    # --
+    @property
+    def da(self):
+        """
+        Sets the a coordinate step. See `a0` for more info.
+    
+        The 'da' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["da"]
+
+    @da.setter
+    def da(self, val):
+        self["da"] = val
+
+    # db
+    # --
+    @property
+    def db(self):
+        """
+        Sets the b coordinate step. See `b0` for more info.
+    
+        The 'db' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["db"]
+
+    @db.setter
+    def db(self, val):
+        self["db"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        The default font used for axis & tick labels on this carpet
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        A two dimensional array of x coordinates at each carpet point.
+        If ommitted, the plot is a cheater plot and the xaxis is hidden
+        by default.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        A two dimensional array of y coordinates at each carpet point.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        a
+            An array containing values of the first parameter value
+        a0
+            Alternate to `a`. Builds a linear space of a
+            coordinates. Use with `da` where `a0` is the starting
+            coordinate and `da` the step.
+        aaxis
+            :class:`plotly.graph_objects.carpet.Aaxis` instance or
+            dict with compatible properties
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        b
+            A two dimensional array of y coordinates at each carpet
+            point.
+        b0
+            Alternate to `b`. Builds a linear space of a
+            coordinates. Use with `db` where `b0` is the starting
+            coordinate and `db` the step.
+        baxis
+            :class:`plotly.graph_objects.carpet.Baxis` instance or
+            dict with compatible properties
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        carpet
+            An identifier for this carpet, so that `scattercarpet`
+            and `contourcarpet` traces can specify a carpet plot on
+            which they lie
+        cheaterslope
+            The shift applied to each successive row of data in
+            creating a cheater plot. Only used if `x` is been
+            ommitted.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        da
+            Sets the a coordinate step. See `a0` for more info.
+        db
+            Sets the b coordinate step. See `b0` for more info.
+        font
+            The default font used for axis & tick labels on this
+            carpet
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        stream
+            :class:`plotly.graph_objects.carpet.Stream` instance or
+            dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            A two dimensional array of x coordinates at each carpet
+            point. If ommitted, the plot is a cheater plot and the
+            xaxis is hidden by default.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            A two dimensional array of y coordinates at each carpet
+            point.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        a=None,
+        a0=None,
+        aaxis=None,
+        asrc=None,
+        b=None,
+        b0=None,
+        baxis=None,
+        bsrc=None,
+        carpet=None,
+        cheaterslope=None,
+        color=None,
+        customdata=None,
+        customdatasrc=None,
+        da=None,
+        db=None,
+        font=None,
+        ids=None,
+        idssrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        stream=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xaxis=None,
+        xsrc=None,
+        y=None,
+        yaxis=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Carpet object
+        
+        The data describing carpet axis layout is set in `y` and
+        (optionally) also `x`. If only `y` is present, `x` the plot is
+        interpreted as a cheater plot and is filled in using the `y`
+        values. `x` and `y` may either be 2D arrays matching with each
+        dimension matching that of `a` and `b`, or they may be 1D
+        arrays with total length equal to that of `a` and `b`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Carpet`
+        a
+            An array containing values of the first parameter value
+        a0
+            Alternate to `a`. Builds a linear space of a
+            coordinates. Use with `da` where `a0` is the starting
+            coordinate and `da` the step.
+        aaxis
+            :class:`plotly.graph_objects.carpet.Aaxis` instance or
+            dict with compatible properties
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        b
+            A two dimensional array of y coordinates at each carpet
+            point.
+        b0
+            Alternate to `b`. Builds a linear space of a
+            coordinates. Use with `db` where `b0` is the starting
+            coordinate and `db` the step.
+        baxis
+            :class:`plotly.graph_objects.carpet.Baxis` instance or
+            dict with compatible properties
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        carpet
+            An identifier for this carpet, so that `scattercarpet`
+            and `contourcarpet` traces can specify a carpet plot on
+            which they lie
+        cheaterslope
+            The shift applied to each successive row of data in
+            creating a cheater plot. Only used if `x` is been
+            ommitted.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        da
+            Sets the a coordinate step. See `a0` for more info.
+        db
+            Sets the b coordinate step. See `b0` for more info.
+        font
+            The default font used for axis & tick labels on this
+            carpet
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        stream
+            :class:`plotly.graph_objects.carpet.Stream` instance or
+            dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            A two dimensional array of x coordinates at each carpet
+            point. If ommitted, the plot is a cheater plot and the
+            xaxis is hidden by default.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            A two dimensional array of y coordinates at each carpet
+            point.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Carpet
+        """
+        super(Carpet, self).__init__("carpet")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Carpet 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Carpet`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("a", None)
+        _v = a if a is not None else _v
+        if _v is not None:
+            self["a"] = _v
+        _v = arg.pop("a0", None)
+        _v = a0 if a0 is not None else _v
+        if _v is not None:
+            self["a0"] = _v
+        _v = arg.pop("aaxis", None)
+        _v = aaxis if aaxis is not None else _v
+        if _v is not None:
+            self["aaxis"] = _v
+        _v = arg.pop("asrc", None)
+        _v = asrc if asrc is not None else _v
+        if _v is not None:
+            self["asrc"] = _v
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("b0", None)
+        _v = b0 if b0 is not None else _v
+        if _v is not None:
+            self["b0"] = _v
+        _v = arg.pop("baxis", None)
+        _v = baxis if baxis is not None else _v
+        if _v is not None:
+            self["baxis"] = _v
+        _v = arg.pop("bsrc", None)
+        _v = bsrc if bsrc is not None else _v
+        if _v is not None:
+            self["bsrc"] = _v
+        _v = arg.pop("carpet", None)
+        _v = carpet if carpet is not None else _v
+        if _v is not None:
+            self["carpet"] = _v
+        _v = arg.pop("cheaterslope", None)
+        _v = cheaterslope if cheaterslope is not None else _v
+        if _v is not None:
+            self["cheaterslope"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("da", None)
+        _v = da if da is not None else _v
+        if _v is not None:
+            self["da"] = _v
+        _v = arg.pop("db", None)
+        _v = db if db is not None else _v
+        if _v is not None:
+            self["db"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "carpet"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_choropleth.py b/packages/python/plotly/plotly/graph_objs/_choropleth.py
new file mode 100644
index 00000000000..e22ea8152ef
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_choropleth.py
@@ -0,0 +1,2128 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Choropleth(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "choropleth"
+    _valid_props = {
+        "autocolorscale",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "featureidkey",
+        "geo",
+        "geojson",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "locationmode",
+        "locations",
+        "locationssrc",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "reversescale",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "showscale",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "z",
+        "zauto",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.choropl
+                    eth.colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.choropleth.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of choropleth.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.choropleth.colorba
+                    r.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    choropleth.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    choropleth.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # featureidkey
+    # ------------
+    @property
+    def featureidkey(self):
+        """
+        Sets the key in GeoJSON features which is used as id to match
+        the items included in the `locations` array. Only has an effect
+        when `geojson` is set. Support nested property, for example
+        "properties.name".
+    
+        The 'featureidkey' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["featureidkey"]
+
+    @featureidkey.setter
+    def featureidkey(self, val):
+        self["featureidkey"] = val
+
+    # geo
+    # ---
+    @property
+    def geo(self):
+        """
+        Sets a reference between this trace's geospatial coordinates
+        and a geographic map. If "geo" (the default value), the
+        geospatial coordinates refer to `layout.geo`. If "geo2", the
+        geospatial coordinates refer to `layout.geo2`, and so on.
+    
+        The 'geo' property is an identifier of a particular
+        subplot, of type 'geo', that may be specified as the string 'geo'
+        optionally followed by an integer >= 1
+        (e.g. 'geo', 'geo1', 'geo2', 'geo3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["geo"]
+
+    @geo.setter
+    def geo(self, val):
+        self["geo"] = val
+
+    # geojson
+    # -------
+    @property
+    def geojson(self):
+        """
+        Sets optional GeoJSON data associated with this trace. If not
+        given, the features on the base map are used. It can be set as
+        a valid GeoJSON object or as a URL string. Note that we only
+        accept GeoJSONs of type "FeatureCollection" or "Feature" with
+        geometries of type "Polygon" or "MultiPolygon".
+    
+        The 'geojson' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["geojson"]
+
+    @geojson.setter
+    def geojson(self, val):
+        self["geojson"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['location', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'location+z')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # locationmode
+    # ------------
+    @property
+    def locationmode(self):
+        """
+        Determines the set of locations used to match entries in
+        `locations` to regions on the map. Values "ISO-3", "USA-
+        states", *country names* correspond to features on the base map
+        and value "geojson-id" corresponds to features from a custom
+        GeoJSON linked to the `geojson` attribute.
+    
+        The 'locationmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['ISO-3', 'USA-states', 'country names', 'geojson-id']
+
+        Returns
+        -------
+        Any
+        """
+        return self["locationmode"]
+
+    @locationmode.setter
+    def locationmode(self, val):
+        self["locationmode"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Sets the coordinates via location IDs or names. See
+        `locationmode` for more info.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                line
+                    :class:`plotly.graph_objects.choropleth.marker.
+                    Line` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the opacity of the locations.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.choropleth.selecte
+                    d.Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each location.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.choropleth.unselec
+                    ted.Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the color values.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.choropleth.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        featureidkey
+            Sets the key in GeoJSON features which is used as id to
+            match the items included in the `locations` array. Only
+            has an effect when `geojson` is set. Support nested
+            property, for example "properties.name".
+        geo
+            Sets a reference between this trace's geospatial
+            coordinates and a geographic map. If "geo" (the default
+            value), the geospatial coordinates refer to
+            `layout.geo`. If "geo2", the geospatial coordinates
+            refer to `layout.geo2`, and so on.
+        geojson
+            Sets optional GeoJSON data associated with this trace.
+            If not given, the features on the base map are used. It
+            can be set as a valid GeoJSON object or as a URL
+            string. Note that we only accept GeoJSONs of type
+            "FeatureCollection" or "Feature" with geometries of
+            type "Polygon" or "MultiPolygon".
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.choropleth.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        locationmode
+            Determines the set of locations used to match entries
+            in `locations` to regions on the map. Values "ISO-3",
+            "USA-states", *country names* correspond to features on
+            the base map and value "geojson-id" corresponds to
+            features from a custom GeoJSON linked to the `geojson`
+            attribute.
+        locations
+            Sets the coordinates via location IDs or names. See
+            `locationmode` for more info.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        marker
+            :class:`plotly.graph_objects.choropleth.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        selected
+            :class:`plotly.graph_objects.choropleth.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.choropleth.Stream`
+            instance or dict with compatible properties
+        text
+            Sets the text elements associated with each location.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.choropleth.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        z
+            Sets the color values.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        featureidkey=None,
+        geo=None,
+        geojson=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        locationmode=None,
+        locations=None,
+        locationssrc=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        reversescale=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        z=None,
+        zauto=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Choropleth object
+        
+        The data that describes the choropleth value-to-color mapping
+        is set in `z`. The geographic locations corresponding to each
+        value in `z` are set in `locations`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Choropleth`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.choropleth.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        featureidkey
+            Sets the key in GeoJSON features which is used as id to
+            match the items included in the `locations` array. Only
+            has an effect when `geojson` is set. Support nested
+            property, for example "properties.name".
+        geo
+            Sets a reference between this trace's geospatial
+            coordinates and a geographic map. If "geo" (the default
+            value), the geospatial coordinates refer to
+            `layout.geo`. If "geo2", the geospatial coordinates
+            refer to `layout.geo2`, and so on.
+        geojson
+            Sets optional GeoJSON data associated with this trace.
+            If not given, the features on the base map are used. It
+            can be set as a valid GeoJSON object or as a URL
+            string. Note that we only accept GeoJSONs of type
+            "FeatureCollection" or "Feature" with geometries of
+            type "Polygon" or "MultiPolygon".
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.choropleth.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        locationmode
+            Determines the set of locations used to match entries
+            in `locations` to regions on the map. Values "ISO-3",
+            "USA-states", *country names* correspond to features on
+            the base map and value "geojson-id" corresponds to
+            features from a custom GeoJSON linked to the `geojson`
+            attribute.
+        locations
+            Sets the coordinates via location IDs or names. See
+            `locationmode` for more info.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        marker
+            :class:`plotly.graph_objects.choropleth.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        selected
+            :class:`plotly.graph_objects.choropleth.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.choropleth.Stream`
+            instance or dict with compatible properties
+        text
+            Sets the text elements associated with each location.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.choropleth.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        z
+            Sets the color values.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Choropleth
+        """
+        super(Choropleth, self).__init__("choropleth")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Choropleth 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Choropleth`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("featureidkey", None)
+        _v = featureidkey if featureidkey is not None else _v
+        if _v is not None:
+            self["featureidkey"] = _v
+        _v = arg.pop("geo", None)
+        _v = geo if geo is not None else _v
+        if _v is not None:
+            self["geo"] = _v
+        _v = arg.pop("geojson", None)
+        _v = geojson if geojson is not None else _v
+        if _v is not None:
+            self["geojson"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("locationmode", None)
+        _v = locationmode if locationmode is not None else _v
+        if _v is not None:
+            self["locationmode"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "choropleth"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_choroplethmapbox.py b/packages/python/plotly/plotly/graph_objs/_choroplethmapbox.py
new file mode 100644
index 00000000000..a6731287907
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_choroplethmapbox.py
@@ -0,0 +1,2121 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Choroplethmapbox(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "choroplethmapbox"
+    _valid_props = {
+        "autocolorscale",
+        "below",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "featureidkey",
+        "geojson",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "locations",
+        "locationssrc",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "reversescale",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "showscale",
+        "stream",
+        "subplot",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "z",
+        "zauto",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # below
+    # -----
+    @property
+    def below(self):
+        """
+        Determines if the choropleth polygons will be inserted before
+        the layer with the specified ID. By default, choroplethmapbox
+        traces are placed above the water layers. If set to '', the
+        layer will be inserted above every existing layer.
+    
+        The 'below' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["below"]
+
+    @below.setter
+    def below(self, val):
+        self["below"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.choropl
+                    ethmapbox.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.choroplethmapbox.colorbar.tickformatstopdefau
+                    lts), sets the default property values to use
+                    for elements of
+                    choroplethmapbox.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.choroplethmapbox.c
+                    olorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    choroplethmapbox.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    choroplethmapbox.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # featureidkey
+    # ------------
+    @property
+    def featureidkey(self):
+        """
+        Sets the key in GeoJSON features which is used as id to match
+        the items included in the `locations` array. Support nested
+        property, for example "properties.name".
+    
+        The 'featureidkey' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["featureidkey"]
+
+    @featureidkey.setter
+    def featureidkey(self, val):
+        self["featureidkey"] = val
+
+    # geojson
+    # -------
+    @property
+    def geojson(self):
+        """
+        Sets the GeoJSON data associated with this trace. It can be set
+        as a valid GeoJSON object or as a URL string. Note that we only
+        accept GeoJSONs of type "FeatureCollection" or "Feature" with
+        geometries of type "Polygon" or "MultiPolygon".
+    
+        The 'geojson' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["geojson"]
+
+    @geojson.setter
+    def geojson(self, val):
+        self["geojson"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['location', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'location+z')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variable `properties` Anything contained in tag `<extra>` is
+        displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Sets which features found in "geojson" to plot using their
+        feature `id` field.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                line
+                    :class:`plotly.graph_objects.choroplethmapbox.m
+                    arker.Line` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the opacity of the locations.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.choroplethmapbox.s
+                    elected.Marker` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        mapbox subplot. If "mapbox" (the default value), the data refer
+        to `layout.mapbox`. If "mapbox2", the data refer to
+        `layout.mapbox2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'mapbox', that may be specified as the string 'mapbox'
+        optionally followed by an integer >= 1
+        (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each location.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.choroplethmapbox.u
+                    nselected.Marker` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the color values.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        below
+            Determines if the choropleth polygons will be inserted
+            before the layer with the specified ID. By default,
+            choroplethmapbox traces are placed above the water
+            layers. If set to '', the layer will be inserted above
+            every existing layer.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.choroplethmapbox.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        featureidkey
+            Sets the key in GeoJSON features which is used as id to
+            match the items included in the `locations` array.
+            Support nested property, for example "properties.name".
+        geojson
+            Sets the GeoJSON data associated with this trace. It
+            can be set as a valid GeoJSON object or as a URL
+            string. Note that we only accept GeoJSONs of type
+            "FeatureCollection" or "Feature" with geometries of
+            type "Polygon" or "MultiPolygon".
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.choroplethmapbox.Hoverlabe
+            l` instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `properties` Anything contained
+            in tag `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        locations
+            Sets which features found in "geojson" to plot using
+            their feature `id` field.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        marker
+            :class:`plotly.graph_objects.choroplethmapbox.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        selected
+            :class:`plotly.graph_objects.choroplethmapbox.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.choroplethmapbox.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a mapbox subplot. If "mapbox" (the default value),
+            the data refer to `layout.mapbox`. If "mapbox2", the
+            data refer to `layout.mapbox2`, and so on.
+        text
+            Sets the text elements associated with each location.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.choroplethmapbox.Unselecte
+            d` instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        z
+            Sets the color values.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        below=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        featureidkey=None,
+        geojson=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        locations=None,
+        locationssrc=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        reversescale=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        subplot=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        z=None,
+        zauto=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Choroplethmapbox object
+        
+        GeoJSON features to be filled are set in `geojson` The data
+        that describes the choropleth value-to-color mapping is set in
+        `locations` and `z`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.Choroplethmapbox`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        below
+            Determines if the choropleth polygons will be inserted
+            before the layer with the specified ID. By default,
+            choroplethmapbox traces are placed above the water
+            layers. If set to '', the layer will be inserted above
+            every existing layer.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.choroplethmapbox.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        featureidkey
+            Sets the key in GeoJSON features which is used as id to
+            match the items included in the `locations` array.
+            Support nested property, for example "properties.name".
+        geojson
+            Sets the GeoJSON data associated with this trace. It
+            can be set as a valid GeoJSON object or as a URL
+            string. Note that we only accept GeoJSONs of type
+            "FeatureCollection" or "Feature" with geometries of
+            type "Polygon" or "MultiPolygon".
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.choroplethmapbox.Hoverlabe
+            l` instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `properties` Anything contained
+            in tag `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        locations
+            Sets which features found in "geojson" to plot using
+            their feature `id` field.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        marker
+            :class:`plotly.graph_objects.choroplethmapbox.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        selected
+            :class:`plotly.graph_objects.choroplethmapbox.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.choroplethmapbox.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a mapbox subplot. If "mapbox" (the default value),
+            the data refer to `layout.mapbox`. If "mapbox2", the
+            data refer to `layout.mapbox2`, and so on.
+        text
+            Sets the text elements associated with each location.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.choroplethmapbox.Unselecte
+            d` instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        z
+            Sets the color values.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Choroplethmapbox
+        """
+        super(Choroplethmapbox, self).__init__("choroplethmapbox")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Choroplethmapbox 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Choroplethmapbox`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("below", None)
+        _v = below if below is not None else _v
+        if _v is not None:
+            self["below"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("featureidkey", None)
+        _v = featureidkey if featureidkey is not None else _v
+        if _v is not None:
+            self["featureidkey"] = _v
+        _v = arg.pop("geojson", None)
+        _v = geojson if geojson is not None else _v
+        if _v is not None:
+            self["geojson"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "choroplethmapbox"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_cone.py b/packages/python/plotly/plotly/graph_objs/_cone.py
new file mode 100644
index 00000000000..b36f6bd6784
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_cone.py
@@ -0,0 +1,2383 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Cone(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "cone"
+    _valid_props = {
+        "anchor",
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "lighting",
+        "lightposition",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "reversescale",
+        "scene",
+        "showlegend",
+        "showscale",
+        "sizemode",
+        "sizeref",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "u",
+        "uid",
+        "uirevision",
+        "usrc",
+        "v",
+        "visible",
+        "vsrc",
+        "w",
+        "wsrc",
+        "x",
+        "xsrc",
+        "y",
+        "ysrc",
+        "z",
+        "zsrc",
+    }
+
+    # anchor
+    # ------
+    @property
+    def anchor(self):
+        """
+        Sets the cones' anchor with respect to their x/y/z positions.
+        Note that "cm" denote the cone's center of mass which
+        corresponds to 1/4 from the tail to tip.
+    
+        The 'anchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['tip', 'tail', 'cm', 'center']
+
+        Returns
+        -------
+        Any
+        """
+        return self["anchor"]
+
+    @anchor.setter
+    def anchor(self, val):
+        self["anchor"] = val
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here u/v/w norm) or the bounds set
+        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
+        `cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as u/v/w norm and if set, `cmin` must be set as
+        well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as u/v/w norm. Has no effect when `cauto` is
+        `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as u/v/w norm and if set, `cmax` must be set as
+        well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.cone.co
+                    lorbar.Tickformatstop` instances or dicts with
+                    compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.cone.colorbar.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of cone.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.cone.colorbar.Titl
+                    e` instance or dict with compatible properties
+                titlefont
+                    Deprecated: Please use cone.colorbar.title.font
+                    instead. Sets this color bar's title font. Note
+                    that the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use cone.colorbar.title.side
+                    instead. Determines the location of color bar's
+                    title with respect to the color bar. Note that
+                    the title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.cone.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.cone.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variable `norm` Anything contained in tag `<extra>` is
+        displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lighting
+    # --------
+    @property
+    def lighting(self):
+        """
+        The 'lighting' property is an instance of Lighting
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.Lighting`
+          - A dict of string/value properties that will be passed
+            to the Lighting constructor
+    
+            Supported dict properties:
+                
+                ambient
+                    Ambient light increases overall color
+                    visibility but can wash out the image.
+                diffuse
+                    Represents the extent that incident rays are
+                    reflected in a range of angles.
+                facenormalsepsilon
+                    Epsilon for face normals calculation avoids
+                    math issues arising from degenerate geometry.
+                fresnel
+                    Represents the reflectance as a dependency of
+                    the viewing angle; e.g. paper is reflective
+                    when viewing it from the edge of the paper
+                    (almost 90 degrees), causing shine.
+                roughness
+                    Alters specular reflection; the rougher the
+                    surface, the wider and less contrasty the
+                    shine.
+                specular
+                    Represents the level that incident rays are
+                    reflected in a single direction, causing shine.
+                vertexnormalsepsilon
+                    Epsilon for vertex normals calculation avoids
+                    math issues arising from degenerate geometry.
+
+        Returns
+        -------
+        plotly.graph_objs.cone.Lighting
+        """
+        return self["lighting"]
+
+    @lighting.setter
+    def lighting(self, val):
+        self["lighting"] = val
+
+    # lightposition
+    # -------------
+    @property
+    def lightposition(self):
+        """
+        The 'lightposition' property is an instance of Lightposition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.Lightposition`
+          - A dict of string/value properties that will be passed
+            to the Lightposition constructor
+    
+            Supported dict properties:
+                
+                x
+                    Numeric vector, representing the X coordinate
+                    for each vertex.
+                y
+                    Numeric vector, representing the Y coordinate
+                    for each vertex.
+                z
+                    Numeric vector, representing the Z coordinate
+                    for each vertex.
+
+        Returns
+        -------
+        plotly.graph_objs.cone.Lightposition
+        """
+        return self["lightposition"]
+
+    @lightposition.setter
+    def lightposition(self, val):
+        self["lightposition"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the surface. Please note that in the case
+        of using high `opacity` values for example a value greater than
+        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
+        an overlay of multiple transparent surfaces may not perfectly
+        be sorted in depth by the webgl API. This behavior may be
+        improved in the near future and is subject to change.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Determines whether `sizeref` is set as a "scaled" (i.e
+        unitless) scalar (normalized by the max u/v/w norm in the
+        vector field) or as "absolute" value (in the same units as the
+        vector field).
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['scaled', 'absolute']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Adjusts the cone size scaling. The size of the cones is
+        determined by their u/v/w norm multiplied a factor and
+        `sizeref`. This factor (computed internally) corresponds to the
+        minimum "time" to travel across two successive x/y/z positions
+        at the average velocity of those two successive positions. All
+        cones in a given trace use the same factor. With `sizemode` set
+        to "scaled", `sizeref` is unitless, its default value is 0.5
+        With `sizemode` set to "absolute", `sizeref` has the same units
+        as the u/v/w vector field, its the default value is half the
+        sample's maximum vector norm.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.cone.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with the cones. If trace
+        `hoverinfo` contains a "text" flag and "hovertext" is not set,
+        these elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # u
+    # -
+    @property
+    def u(self):
+        """
+        Sets the x components of the vector field.
+    
+        The 'u' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["u"]
+
+    @u.setter
+    def u(self, val):
+        self["u"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # usrc
+    # ----
+    @property
+    def usrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  u .
+    
+        The 'usrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["usrc"]
+
+    @usrc.setter
+    def usrc(self, val):
+        self["usrc"] = val
+
+    # v
+    # -
+    @property
+    def v(self):
+        """
+        Sets the y components of the vector field.
+    
+        The 'v' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["v"]
+
+    @v.setter
+    def v(self, val):
+        self["v"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # vsrc
+    # ----
+    @property
+    def vsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  v .
+    
+        The 'vsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["vsrc"]
+
+    @vsrc.setter
+    def vsrc(self, val):
+        self["vsrc"] = val
+
+    # w
+    # -
+    @property
+    def w(self):
+        """
+        Sets the z components of the vector field.
+    
+        The 'w' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["w"]
+
+    @w.setter
+    def w(self, val):
+        self["w"] = val
+
+    # wsrc
+    # ----
+    @property
+    def wsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  w .
+    
+        The 'wsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["wsrc"]
+
+    @wsrc.setter
+    def wsrc(self, val):
+        self["wsrc"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates of the vector field and of the displayed
+        cones.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates of the vector field and of the displayed
+        cones.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z coordinates of the vector field and of the displayed
+        cones.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        anchor
+            Sets the cones' anchor with respect to their x/y/z
+            positions. Note that "cm" denote the cone's center of
+            mass which corresponds to 1/4 from the tail to tip.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here u/v/w norm) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as u/v/w norm. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.cone.ColorBar` instance or
+            dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.cone.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `norm` Anything contained in
+            tag `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.cone.Lighting` instance or
+            dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.cone.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        sizemode
+            Determines whether `sizeref` is set as a "scaled" (i.e
+            unitless) scalar (normalized by the max u/v/w norm in
+            the vector field) or as "absolute" value (in the same
+            units as the vector field).
+        sizeref
+            Adjusts the cone size scaling. The size of the cones is
+            determined by their u/v/w norm multiplied a factor and
+            `sizeref`. This factor (computed internally)
+            corresponds to the minimum "time" to travel across two
+            successive x/y/z positions at the average velocity of
+            those two successive positions. All cones in a given
+            trace use the same factor. With `sizemode` set to
+            "scaled", `sizeref` is unitless, its default value is
+            0.5 With `sizemode` set to "absolute", `sizeref` has
+            the same units as the u/v/w vector field, its the
+            default value is half the sample's maximum vector norm.
+        stream
+            :class:`plotly.graph_objects.cone.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with the cones. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        u
+            Sets the x components of the vector field.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        usrc
+            Sets the source reference on Chart Studio Cloud for  u
+            .
+        v
+            Sets the y components of the vector field.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        vsrc
+            Sets the source reference on Chart Studio Cloud for  v
+            .
+        w
+            Sets the z components of the vector field.
+        wsrc
+            Sets the source reference on Chart Studio Cloud for  w
+            .
+        x
+            Sets the x coordinates of the vector field and of the
+            displayed cones.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates of the vector field and of the
+            displayed cones.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates of the vector field and of the
+            displayed cones.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        anchor=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        lighting=None,
+        lightposition=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        reversescale=None,
+        scene=None,
+        showlegend=None,
+        showscale=None,
+        sizemode=None,
+        sizeref=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        u=None,
+        uid=None,
+        uirevision=None,
+        usrc=None,
+        v=None,
+        visible=None,
+        vsrc=None,
+        w=None,
+        wsrc=None,
+        x=None,
+        xsrc=None,
+        y=None,
+        ysrc=None,
+        z=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Cone object
+        
+        Use cone traces to visualize vector fields.  Specify a vector
+        field using 6 1D arrays, 3 position arrays `x`, `y` and `z` and
+        3 vector component arrays `u`, `v`, `w`. The cones are drawn
+        exactly at the positions given by `x`, `y` and `z`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Cone`
+        anchor
+            Sets the cones' anchor with respect to their x/y/z
+            positions. Note that "cm" denote the cone's center of
+            mass which corresponds to 1/4 from the tail to tip.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here u/v/w norm) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as u/v/w norm. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.cone.ColorBar` instance or
+            dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.cone.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `norm` Anything contained in
+            tag `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.cone.Lighting` instance or
+            dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.cone.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        sizemode
+            Determines whether `sizeref` is set as a "scaled" (i.e
+            unitless) scalar (normalized by the max u/v/w norm in
+            the vector field) or as "absolute" value (in the same
+            units as the vector field).
+        sizeref
+            Adjusts the cone size scaling. The size of the cones is
+            determined by their u/v/w norm multiplied a factor and
+            `sizeref`. This factor (computed internally)
+            corresponds to the minimum "time" to travel across two
+            successive x/y/z positions at the average velocity of
+            those two successive positions. All cones in a given
+            trace use the same factor. With `sizemode` set to
+            "scaled", `sizeref` is unitless, its default value is
+            0.5 With `sizemode` set to "absolute", `sizeref` has
+            the same units as the u/v/w vector field, its the
+            default value is half the sample's maximum vector norm.
+        stream
+            :class:`plotly.graph_objects.cone.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with the cones. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        u
+            Sets the x components of the vector field.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        usrc
+            Sets the source reference on Chart Studio Cloud for  u
+            .
+        v
+            Sets the y components of the vector field.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        vsrc
+            Sets the source reference on Chart Studio Cloud for  v
+            .
+        w
+            Sets the z components of the vector field.
+        wsrc
+            Sets the source reference on Chart Studio Cloud for  w
+            .
+        x
+            Sets the x coordinates of the vector field and of the
+            displayed cones.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates of the vector field and of the
+            displayed cones.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates of the vector field and of the
+            displayed cones.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Cone
+        """
+        super(Cone, self).__init__("cone")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Cone 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Cone`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("anchor", None)
+        _v = anchor if anchor is not None else _v
+        if _v is not None:
+            self["anchor"] = _v
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lighting", None)
+        _v = lighting if lighting is not None else _v
+        if _v is not None:
+            self["lighting"] = _v
+        _v = arg.pop("lightposition", None)
+        _v = lightposition if lightposition is not None else _v
+        if _v is not None:
+            self["lightposition"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("u", None)
+        _v = u if u is not None else _v
+        if _v is not None:
+            self["u"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("usrc", None)
+        _v = usrc if usrc is not None else _v
+        if _v is not None:
+            self["usrc"] = _v
+        _v = arg.pop("v", None)
+        _v = v if v is not None else _v
+        if _v is not None:
+            self["v"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("vsrc", None)
+        _v = vsrc if vsrc is not None else _v
+        if _v is not None:
+            self["vsrc"] = _v
+        _v = arg.pop("w", None)
+        _v = w if w is not None else _v
+        if _v is not None:
+            self["w"] = _v
+        _v = arg.pop("wsrc", None)
+        _v = wsrc if wsrc is not None else _v
+        if _v is not None:
+            self["wsrc"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "cone"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_contour.py b/packages/python/plotly/plotly/graph_objs/_contour.py
new file mode 100644
index 00000000000..41a55d3a193
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_contour.py
@@ -0,0 +1,2695 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Contour(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "contour"
+    _valid_props = {
+        "autocolorscale",
+        "autocontour",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "connectgaps",
+        "contours",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoverongaps",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "meta",
+        "metasrc",
+        "name",
+        "ncontours",
+        "opacity",
+        "reversescale",
+        "showlegend",
+        "showscale",
+        "stream",
+        "text",
+        "textsrc",
+        "transpose",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "x0",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "xtype",
+        "y",
+        "y0",
+        "yaxis",
+        "ycalendar",
+        "ysrc",
+        "ytype",
+        "z",
+        "zauto",
+        "zhoverformat",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # autocontour
+    # -----------
+    @property
+    def autocontour(self):
+        """
+        Determines whether or not the contour level attributes are
+        picked by an algorithm. If True, the number of contour levels
+        can be set in `ncontours`. If False, set the contour level
+        attributes in `contours`.
+    
+        The 'autocontour' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocontour"]
+
+    @autocontour.setter
+    def autocontour(self, val):
+        self["autocontour"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.contour
+                    .colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.contour.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of contour.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.contour.colorbar.T
+                    itle` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    contour.colorbar.title.font instead. Sets this
+                    color bar's title font. Note that the title's
+                    font used to be set by the now deprecated
+                    `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    contour.colorbar.title.side instead. Determines
+                    the location of color bar's title with respect
+                    to the color bar. Note that the title's
+                    location used to be set by the now deprecated
+                    `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.contour.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the `z` data are filled in. It is defaulted to true if `z`
+        is a one dimensional array otherwise it is defaulted to false.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # contours
+    # --------
+    @property
+    def contours(self):
+        """
+        The 'contours' property is an instance of Contours
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.Contours`
+          - A dict of string/value properties that will be passed
+            to the Contours constructor
+    
+            Supported dict properties:
+                
+                coloring
+                    Determines the coloring method showing the
+                    contour values. If "fill", coloring is done
+                    evenly between each contour level If "heatmap",
+                    a heatmap gradient coloring is applied between
+                    each contour level. If "lines", coloring is
+                    done on the contour lines. If "none", no
+                    coloring is applied on this trace.
+                end
+                    Sets the end contour level value. Must be more
+                    than `contours.start`
+                labelfont
+                    Sets the font used for labeling the contour
+                    levels. The default color comes from the lines,
+                    if shown. The default family and size come from
+                    `layout.font`.
+                labelformat
+                    Sets the contour label formatting rule using d3
+                    formatting mini-language which is very similar
+                    to Python, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                operation
+                    Sets the constraint operation. "=" keeps
+                    regions equal to `value` "<" and "<=" keep
+                    regions less than `value` ">" and ">=" keep
+                    regions greater than `value` "[]", "()", "[)",
+                    and "(]" keep regions inside `value[0]` to
+                    `value[1]` "][", ")(", "](", ")[" keep regions
+                    outside `value[0]` to value[1]` Open vs. closed
+                    intervals make no difference to constraint
+                    display, but all versions are allowed for
+                    consistency with filter transforms.
+                showlabels
+                    Determines whether to label the contour lines
+                    with their values.
+                showlines
+                    Determines whether or not the contour lines are
+                    drawn. Has an effect only if
+                    `contours.coloring` is set to "fill".
+                size
+                    Sets the step between each contour level. Must
+                    be positive.
+                start
+                    Sets the starting contour level value. Must be
+                    less than `contours.end`
+                type
+                    If `levels`, the data is represented as a
+                    contour plot with multiple levels displayed. If
+                    `constraint`, the data is represented as
+                    constraints with the invalid region shaded as
+                    specified by the `operation` and `value`
+                    parameters.
+                value
+                    Sets the value or values of the constraint
+                    boundary. When `operation` is set to one of the
+                    comparison values (=,<,>=,>,<=) "value" is
+                    expected to be a number. When `operation` is
+                    set to one of the interval values
+                    ([],(),[),(],][,)(,](,)[) "value" is expected
+                    to be an array of two numbers where the first
+                    is the lower bound and the second is the upper
+                    bound.
+
+        Returns
+        -------
+        plotly.graph_objs.contour.Contours
+        """
+        return self["contours"]
+
+    @contours.setter
+    def contours(self, val):
+        self["contours"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color if `contours.type` is "constraint".
+        Defaults to a half-transparent variant of the line color,
+        marker color, or marker line color, whichever is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to contour.colorscale
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.contour.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoverongaps
+    # -----------
+    @property
+    def hoverongaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the `z` data have hover labels associated with them.
+    
+        The 'hoverongaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["hoverongaps"]
+
+    @hoverongaps.setter
+    def hoverongaps(self, val):
+        self["hoverongaps"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour level. Has no
+                    effect if `contours.coloring` is set to
+                    "lines".
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                smoothing
+                    Sets the amount of smoothing for the contour
+                    lines, where 0 corresponds to no smoothing.
+                width
+                    Sets the contour line width in (in px) Defaults
+                    to 0.5 when `contours.type` is "levels".
+                    Defaults to 2 when `contour.type` is
+                    "constraint".
+
+        Returns
+        -------
+        plotly.graph_objs.contour.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # ncontours
+    # ---------
+    @property
+    def ncontours(self):
+        """
+        Sets the maximum number of contour levels. The actual number of
+        contours will be chosen automatically to be less than or equal
+        to the value of `ncontours`. Has an effect only if
+        `autocontour` is True or if `contours.size` is missing.
+    
+        The 'ncontours' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["ncontours"]
+
+    @ncontours.setter
+    def ncontours(self, val):
+        self["ncontours"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.contour.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each z value.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # transpose
+    # ---------
+    @property
+    def transpose(self):
+        """
+        Transposes the z data.
+    
+        The 'transpose' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["transpose"]
+
+    @transpose.setter
+    def transpose(self, val):
+        self["transpose"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # xtype
+    # -----
+    @property
+    def xtype(self):
+        """
+        If "array", the heatmap's x coordinates are given by "x" (the
+        default behavior when `x` is provided). If "scaled", the
+        heatmap's x coordinates are given by "x0" and "dx" (the default
+        behavior when `x` is not provided).
+    
+        The 'xtype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xtype"]
+
+    @xtype.setter
+    def xtype(self, val):
+        self["xtype"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # ytype
+    # -----
+    @property
+    def ytype(self):
+        """
+        If "array", the heatmap's y coordinates are given by "y" (the
+        default behavior when `y` is provided) If "scaled", the
+        heatmap's y coordinates are given by "y0" and "dy" (the default
+        behavior when `y` is not provided)
+    
+        The 'ytype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ytype"]
+
+    @ytype.setter
+    def ytype(self, val):
+        self["ytype"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z data.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zhoverformat
+    # ------------
+    @property
+    def zhoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. See:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'zhoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["zhoverformat"]
+
+    @zhoverformat.setter
+    def zhoverformat(self, val):
+        self["zhoverformat"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        autocontour
+            Determines whether or not the contour level attributes
+            are picked by an algorithm. If True, the number of
+            contour levels can be set in `ncontours`. If False, set
+            the contour level attributes in `contours`.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.contour.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data are filled in. It is defaulted
+            to true if `z` is a one dimensional array otherwise it
+            is defaulted to false.
+        contours
+            :class:`plotly.graph_objects.contour.Contours` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        fillcolor
+            Sets the fill color if `contours.type` is "constraint".
+            Defaults to a half-transparent variant of the line
+            color, marker color, or marker line color, whichever is
+            available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.contour.Hoverlabel`
+            instance or dict with compatible properties
+        hoverongaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data have hover labels associated
+            with them.
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.contour.Line` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        ncontours
+            Sets the maximum number of contour levels. The actual
+            number of contours will be chosen automatically to be
+            less than or equal to the value of `ncontours`. Has an
+            effect only if `autocontour` is True or if
+            `contours.size` is missing.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.contour.Stream` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xtype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        ytype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        autocontour=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        connectgaps=None,
+        contours=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoverongaps=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        ncontours=None,
+        opacity=None,
+        reversescale=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        transpose=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        xtype=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ycalendar=None,
+        ysrc=None,
+        ytype=None,
+        z=None,
+        zauto=None,
+        zhoverformat=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Contour object
+        
+        The data from which contour lines are computed is set in `z`.
+        Data in `z` must be a 2D list of numbers. Say that `z` has N
+        rows and M columns, then by default, these N rows correspond to
+        N y coordinates (set in `y` or auto-generated) and the M
+        columns correspond to M x coordinates (set in `x` or auto-
+        generated). By setting `transpose` to True, the above behavior
+        is flipped.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Contour`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        autocontour
+            Determines whether or not the contour level attributes
+            are picked by an algorithm. If True, the number of
+            contour levels can be set in `ncontours`. If False, set
+            the contour level attributes in `contours`.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.contour.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data are filled in. It is defaulted
+            to true if `z` is a one dimensional array otherwise it
+            is defaulted to false.
+        contours
+            :class:`plotly.graph_objects.contour.Contours` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        fillcolor
+            Sets the fill color if `contours.type` is "constraint".
+            Defaults to a half-transparent variant of the line
+            color, marker color, or marker line color, whichever is
+            available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.contour.Hoverlabel`
+            instance or dict with compatible properties
+        hoverongaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data have hover labels associated
+            with them.
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.contour.Line` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        ncontours
+            Sets the maximum number of contour levels. The actual
+            number of contours will be chosen automatically to be
+            less than or equal to the value of `ncontours`. Has an
+            effect only if `autocontour` is True or if
+            `contours.size` is missing.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.contour.Stream` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xtype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        ytype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Contour
+        """
+        super(Contour, self).__init__("contour")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Contour 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Contour`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("autocontour", None)
+        _v = autocontour if autocontour is not None else _v
+        if _v is not None:
+            self["autocontour"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("contours", None)
+        _v = contours if contours is not None else _v
+        if _v is not None:
+            self["contours"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoverongaps", None)
+        _v = hoverongaps if hoverongaps is not None else _v
+        if _v is not None:
+            self["hoverongaps"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("ncontours", None)
+        _v = ncontours if ncontours is not None else _v
+        if _v is not None:
+            self["ncontours"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("transpose", None)
+        _v = transpose if transpose is not None else _v
+        if _v is not None:
+            self["transpose"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("xtype", None)
+        _v = xtype if xtype is not None else _v
+        if _v is not None:
+            self["xtype"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("ytype", None)
+        _v = ytype if ytype is not None else _v
+        if _v is not None:
+            self["ytype"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zhoverformat", None)
+        _v = zhoverformat if zhoverformat is not None else _v
+        if _v is not None:
+            self["zhoverformat"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "contour"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_contourcarpet.py b/packages/python/plotly/plotly/graph_objs/_contourcarpet.py
new file mode 100644
index 00000000000..11469fdec12
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_contourcarpet.py
@@ -0,0 +1,2271 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Contourcarpet(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "contourcarpet"
+    _valid_props = {
+        "a",
+        "a0",
+        "asrc",
+        "atype",
+        "autocolorscale",
+        "autocontour",
+        "b",
+        "b0",
+        "bsrc",
+        "btype",
+        "carpet",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "contours",
+        "customdata",
+        "customdatasrc",
+        "da",
+        "db",
+        "fillcolor",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "meta",
+        "metasrc",
+        "name",
+        "ncontours",
+        "opacity",
+        "reversescale",
+        "showlegend",
+        "showscale",
+        "stream",
+        "text",
+        "textsrc",
+        "transpose",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "xaxis",
+        "yaxis",
+        "z",
+        "zauto",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # a
+    # -
+    @property
+    def a(self):
+        """
+        Sets the x coordinates.
+    
+        The 'a' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["a"]
+
+    @a.setter
+    def a(self, val):
+        self["a"] = val
+
+    # a0
+    # --
+    @property
+    def a0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'a0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["a0"]
+
+    @a0.setter
+    def a0(self, val):
+        self["a0"] = val
+
+    # asrc
+    # ----
+    @property
+    def asrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  a .
+    
+        The 'asrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["asrc"]
+
+    @asrc.setter
+    def asrc(self, val):
+        self["asrc"] = val
+
+    # atype
+    # -----
+    @property
+    def atype(self):
+        """
+        If "array", the heatmap's x coordinates are given by "x" (the
+        default behavior when `x` is provided). If "scaled", the
+        heatmap's x coordinates are given by "x0" and "dx" (the default
+        behavior when `x` is not provided).
+    
+        The 'atype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["atype"]
+
+    @atype.setter
+    def atype(self, val):
+        self["atype"] = val
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # autocontour
+    # -----------
+    @property
+    def autocontour(self):
+        """
+        Determines whether or not the contour level attributes are
+        picked by an algorithm. If True, the number of contour levels
+        can be set in `ncontours`. If False, set the contour level
+        attributes in `contours`.
+    
+        The 'autocontour' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocontour"]
+
+    @autocontour.setter
+    def autocontour(self, val):
+        self["autocontour"] = val
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        Sets the y coordinates.
+    
+        The 'b' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # b0
+    # --
+    @property
+    def b0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'b0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["b0"]
+
+    @b0.setter
+    def b0(self, val):
+        self["b0"] = val
+
+    # bsrc
+    # ----
+    @property
+    def bsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  b .
+    
+        The 'bsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bsrc"]
+
+    @bsrc.setter
+    def bsrc(self, val):
+        self["bsrc"] = val
+
+    # btype
+    # -----
+    @property
+    def btype(self):
+        """
+        If "array", the heatmap's y coordinates are given by "y" (the
+        default behavior when `y` is provided) If "scaled", the
+        heatmap's y coordinates are given by "y0" and "dy" (the default
+        behavior when `y` is not provided)
+    
+        The 'btype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["btype"]
+
+    @btype.setter
+    def btype(self, val):
+        self["btype"] = val
+
+    # carpet
+    # ------
+    @property
+    def carpet(self):
+        """
+        The `carpet` of the carpet axes on which this contour trace
+        lies
+    
+        The 'carpet' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["carpet"]
+
+    @carpet.setter
+    def carpet(self, val):
+        self["carpet"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.contour
+                    carpet.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.contourcarpet.colorbar.tickformatstopdefaults
+                    ), sets the default property values to use for
+                    elements of
+                    contourcarpet.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.contourcarpet.colo
+                    rbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    contourcarpet.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    contourcarpet.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # contours
+    # --------
+    @property
+    def contours(self):
+        """
+        The 'contours' property is an instance of Contours
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.Contours`
+          - A dict of string/value properties that will be passed
+            to the Contours constructor
+    
+            Supported dict properties:
+                
+                coloring
+                    Determines the coloring method showing the
+                    contour values. If "fill", coloring is done
+                    evenly between each contour level If "lines",
+                    coloring is done on the contour lines. If
+                    "none", no coloring is applied on this trace.
+                end
+                    Sets the end contour level value. Must be more
+                    than `contours.start`
+                labelfont
+                    Sets the font used for labeling the contour
+                    levels. The default color comes from the lines,
+                    if shown. The default family and size come from
+                    `layout.font`.
+                labelformat
+                    Sets the contour label formatting rule using d3
+                    formatting mini-language which is very similar
+                    to Python, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                operation
+                    Sets the constraint operation. "=" keeps
+                    regions equal to `value` "<" and "<=" keep
+                    regions less than `value` ">" and ">=" keep
+                    regions greater than `value` "[]", "()", "[)",
+                    and "(]" keep regions inside `value[0]` to
+                    `value[1]` "][", ")(", "](", ")[" keep regions
+                    outside `value[0]` to value[1]` Open vs. closed
+                    intervals make no difference to constraint
+                    display, but all versions are allowed for
+                    consistency with filter transforms.
+                showlabels
+                    Determines whether to label the contour lines
+                    with their values.
+                showlines
+                    Determines whether or not the contour lines are
+                    drawn. Has an effect only if
+                    `contours.coloring` is set to "fill".
+                size
+                    Sets the step between each contour level. Must
+                    be positive.
+                start
+                    Sets the starting contour level value. Must be
+                    less than `contours.end`
+                type
+                    If `levels`, the data is represented as a
+                    contour plot with multiple levels displayed. If
+                    `constraint`, the data is represented as
+                    constraints with the invalid region shaded as
+                    specified by the `operation` and `value`
+                    parameters.
+                value
+                    Sets the value or values of the constraint
+                    boundary. When `operation` is set to one of the
+                    comparison values (=,<,>=,>,<=) "value" is
+                    expected to be a number. When `operation` is
+                    set to one of the interval values
+                    ([],(),[),(],][,)(,](,)[) "value" is expected
+                    to be an array of two numbers where the first
+                    is the lower bound and the second is the upper
+                    bound.
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.Contours
+        """
+        return self["contours"]
+
+    @contours.setter
+    def contours(self, val):
+        self["contours"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # da
+    # --
+    @property
+    def da(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'da' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["da"]
+
+    @da.setter
+    def da(self, val):
+        self["da"] = val
+
+    # db
+    # --
+    @property
+    def db(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'db' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["db"]
+
+    @db.setter
+    def db(self, val):
+        self["db"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color if `contours.type` is "constraint".
+        Defaults to a half-transparent variant of the line color,
+        marker color, or marker line color, whichever is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to contourcarpet.colorscale
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour level. Has no
+                    effect if `contours.coloring` is set to
+                    "lines".
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                smoothing
+                    Sets the amount of smoothing for the contour
+                    lines, where 0 corresponds to no smoothing.
+                width
+                    Sets the contour line width in (in px) Defaults
+                    to 0.5 when `contours.type` is "levels".
+                    Defaults to 2 when `contour.type` is
+                    "constraint".
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # ncontours
+    # ---------
+    @property
+    def ncontours(self):
+        """
+        Sets the maximum number of contour levels. The actual number of
+        contours will be chosen automatically to be less than or equal
+        to the value of `ncontours`. Has an effect only if
+        `autocontour` is True or if `contours.size` is missing.
+    
+        The 'ncontours' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["ncontours"]
+
+    @ncontours.setter
+    def ncontours(self, val):
+        self["ncontours"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each z value.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # transpose
+    # ---------
+    @property
+    def transpose(self):
+        """
+        Transposes the z data.
+    
+        The 'transpose' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["transpose"]
+
+    @transpose.setter
+    def transpose(self, val):
+        self["transpose"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z data.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        a
+            Sets the x coordinates.
+        a0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        atype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        autocontour
+            Determines whether or not the contour level attributes
+            are picked by an algorithm. If True, the number of
+            contour levels can be set in `ncontours`. If False, set
+            the contour level attributes in `contours`.
+        b
+            Sets the y coordinates.
+        b0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        btype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        carpet
+            The `carpet` of the carpet axes on which this contour
+            trace lies
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.contourcarpet.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contours
+            :class:`plotly.graph_objects.contourcarpet.Contours`
+            instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        da
+            Sets the x coordinate step. See `x0` for more info.
+        db
+            Sets the y coordinate step. See `y0` for more info.
+        fillcolor
+            Sets the fill color if `contours.type` is "constraint".
+            Defaults to a half-transparent variant of the line
+            color, marker color, or marker line color, whichever is
+            available.
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.contourcarpet.Line`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        ncontours
+            Sets the maximum number of contour levels. The actual
+            number of contours will be chosen automatically to be
+            less than or equal to the value of `ncontours`. Has an
+            effect only if `autocontour` is True or if
+            `contours.size` is missing.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.contourcarpet.Stream`
+            instance or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        a=None,
+        a0=None,
+        asrc=None,
+        atype=None,
+        autocolorscale=None,
+        autocontour=None,
+        b=None,
+        b0=None,
+        bsrc=None,
+        btype=None,
+        carpet=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        contours=None,
+        customdata=None,
+        customdatasrc=None,
+        da=None,
+        db=None,
+        fillcolor=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        ncontours=None,
+        opacity=None,
+        reversescale=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        transpose=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        xaxis=None,
+        yaxis=None,
+        z=None,
+        zauto=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Contourcarpet object
+        
+        Plots contours on either the first carpet axis or the carpet
+        axis with a matching `carpet` attribute. Data `z` is
+        interpreted as matching that of the corresponding carpet axis.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Contourcarpet`
+        a
+            Sets the x coordinates.
+        a0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        atype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        autocontour
+            Determines whether or not the contour level attributes
+            are picked by an algorithm. If True, the number of
+            contour levels can be set in `ncontours`. If False, set
+            the contour level attributes in `contours`.
+        b
+            Sets the y coordinates.
+        b0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        btype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        carpet
+            The `carpet` of the carpet axes on which this contour
+            trace lies
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.contourcarpet.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contours
+            :class:`plotly.graph_objects.contourcarpet.Contours`
+            instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        da
+            Sets the x coordinate step. See `x0` for more info.
+        db
+            Sets the y coordinate step. See `y0` for more info.
+        fillcolor
+            Sets the fill color if `contours.type` is "constraint".
+            Defaults to a half-transparent variant of the line
+            color, marker color, or marker line color, whichever is
+            available.
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.contourcarpet.Line`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        ncontours
+            Sets the maximum number of contour levels. The actual
+            number of contours will be chosen automatically to be
+            less than or equal to the value of `ncontours`. Has an
+            effect only if `autocontour` is True or if
+            `contours.size` is missing.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.contourcarpet.Stream`
+            instance or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Contourcarpet
+        """
+        super(Contourcarpet, self).__init__("contourcarpet")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Contourcarpet 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Contourcarpet`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("a", None)
+        _v = a if a is not None else _v
+        if _v is not None:
+            self["a"] = _v
+        _v = arg.pop("a0", None)
+        _v = a0 if a0 is not None else _v
+        if _v is not None:
+            self["a0"] = _v
+        _v = arg.pop("asrc", None)
+        _v = asrc if asrc is not None else _v
+        if _v is not None:
+            self["asrc"] = _v
+        _v = arg.pop("atype", None)
+        _v = atype if atype is not None else _v
+        if _v is not None:
+            self["atype"] = _v
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("autocontour", None)
+        _v = autocontour if autocontour is not None else _v
+        if _v is not None:
+            self["autocontour"] = _v
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("b0", None)
+        _v = b0 if b0 is not None else _v
+        if _v is not None:
+            self["b0"] = _v
+        _v = arg.pop("bsrc", None)
+        _v = bsrc if bsrc is not None else _v
+        if _v is not None:
+            self["bsrc"] = _v
+        _v = arg.pop("btype", None)
+        _v = btype if btype is not None else _v
+        if _v is not None:
+            self["btype"] = _v
+        _v = arg.pop("carpet", None)
+        _v = carpet if carpet is not None else _v
+        if _v is not None:
+            self["carpet"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("contours", None)
+        _v = contours if contours is not None else _v
+        if _v is not None:
+            self["contours"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("da", None)
+        _v = da if da is not None else _v
+        if _v is not None:
+            self["da"] = _v
+        _v = arg.pop("db", None)
+        _v = db if db is not None else _v
+        if _v is not None:
+            self["db"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("ncontours", None)
+        _v = ncontours if ncontours is not None else _v
+        if _v is not None:
+            self["ncontours"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("transpose", None)
+        _v = transpose if transpose is not None else _v
+        if _v is not None:
+            self["transpose"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "contourcarpet"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_densitymapbox.py b/packages/python/plotly/plotly/graph_objs/_densitymapbox.py
new file mode 100644
index 00000000000..f99061d2275
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_densitymapbox.py
@@ -0,0 +1,2065 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Densitymapbox(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "densitymapbox"
+    _valid_props = {
+        "autocolorscale",
+        "below",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "lat",
+        "latsrc",
+        "legendgroup",
+        "lon",
+        "lonsrc",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "radius",
+        "radiussrc",
+        "reversescale",
+        "showlegend",
+        "showscale",
+        "stream",
+        "subplot",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "z",
+        "zauto",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # below
+    # -----
+    @property
+    def below(self):
+        """
+        Determines if the densitymapbox trace will be inserted before
+        the layer with the specified ID. By default, densitymapbox
+        traces are placed below the first layer of type symbol If set
+        to '', the layer will be inserted above every existing layer.
+    
+        The 'below' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["below"]
+
+    @below.setter
+    def below(self, val):
+        self["below"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.density
+                    mapbox.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.densitymapbox.colorbar.tickformatstopdefaults
+                    ), sets the default property values to use for
+                    elements of
+                    densitymapbox.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.densitymapbox.colo
+                    rbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    densitymapbox.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    densitymapbox.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lon', 'lat', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'lon+lat')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (lon,lat) pair If
+        a single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (lon,lat) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # lat
+    # ---
+    @property
+    def lat(self):
+        """
+        Sets the latitude coordinates (in degrees North).
+    
+        The 'lat' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lat"]
+
+    @lat.setter
+    def lat(self, val):
+        self["lat"] = val
+
+    # latsrc
+    # ------
+    @property
+    def latsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lat .
+    
+        The 'latsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["latsrc"]
+
+    @latsrc.setter
+    def latsrc(self, val):
+        self["latsrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lon
+    # ---
+    @property
+    def lon(self):
+        """
+        Sets the longitude coordinates (in degrees East).
+    
+        The 'lon' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lon"]
+
+    @lon.setter
+    def lon(self, val):
+        self["lon"] = val
+
+    # lonsrc
+    # ------
+    @property
+    def lonsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lon .
+    
+        The 'lonsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["lonsrc"]
+
+    @lonsrc.setter
+    def lonsrc(self, val):
+        self["lonsrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # radius
+    # ------
+    @property
+    def radius(self):
+        """
+        Sets the radius of influence of one `lon` / `lat` point in
+        pixels. Increasing the value makes the densitymapbox trace
+        smoother, but less detailed.
+    
+        The 'radius' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["radius"]
+
+    @radius.setter
+    def radius(self, val):
+        self["radius"] = val
+
+    # radiussrc
+    # ---------
+    @property
+    def radiussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  radius .
+    
+        The 'radiussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["radiussrc"]
+
+    @radiussrc.setter
+    def radiussrc(self, val):
+        self["radiussrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        mapbox subplot. If "mapbox" (the default value), the data refer
+        to `layout.mapbox`. If "mapbox2", the data refer to
+        `layout.mapbox2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'mapbox', that may be specified as the string 'mapbox'
+        optionally followed by an integer >= 1
+        (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (lon,lat) pair If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (lon,lat) coordinates. If trace `hoverinfo`
+        contains a "text" flag and "hovertext" is not set, these
+        elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the points' weight. For example, a value of 10 would be
+        equivalent to having 10 points of weight 1 in the same spot
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        below
+            Determines if the densitymapbox trace will be inserted
+            before the layer with the specified ID. By default,
+            densitymapbox traces are placed below the first layer
+            of type symbol If set to '', the layer will be inserted
+            above every existing layer.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.densitymapbox.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.densitymapbox.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (lon,lat)
+            pair If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (lon,lat)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        lat
+            Sets the latitude coordinates (in degrees North).
+        latsrc
+            Sets the source reference on Chart Studio Cloud for
+            lat .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lon
+            Sets the longitude coordinates (in degrees East).
+        lonsrc
+            Sets the source reference on Chart Studio Cloud for
+            lon .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        radius
+            Sets the radius of influence of one `lon` / `lat` point
+            in pixels. Increasing the value makes the densitymapbox
+            trace smoother, but less detailed.
+        radiussrc
+            Sets the source reference on Chart Studio Cloud for
+            radius .
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.densitymapbox.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a mapbox subplot. If "mapbox" (the default value),
+            the data refer to `layout.mapbox`. If "mapbox2", the
+            data refer to `layout.mapbox2`, and so on.
+        text
+            Sets text elements associated with each (lon,lat) pair
+            If a single string, the same string appears over all
+            the data points. If an array of string, the items are
+            mapped in order to the this trace's (lon,lat)
+            coordinates. If trace `hoverinfo` contains a "text"
+            flag and "hovertext" is not set, these elements will be
+            seen in the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        z
+            Sets the points' weight. For example, a value of 10
+            would be equivalent to having 10 points of weight 1 in
+            the same spot
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        below=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        lat=None,
+        latsrc=None,
+        legendgroup=None,
+        lon=None,
+        lonsrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        radius=None,
+        radiussrc=None,
+        reversescale=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        subplot=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        z=None,
+        zauto=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Densitymapbox object
+        
+        Draws a bivariate kernel density estimation with a Gaussian
+        kernel from `lon` and `lat` coordinates and optional `z` values
+        using a colorscale.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Densitymapbox`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        below
+            Determines if the densitymapbox trace will be inserted
+            before the layer with the specified ID. By default,
+            densitymapbox traces are placed below the first layer
+            of type symbol If set to '', the layer will be inserted
+            above every existing layer.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.densitymapbox.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.densitymapbox.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (lon,lat)
+            pair If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (lon,lat)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        lat
+            Sets the latitude coordinates (in degrees North).
+        latsrc
+            Sets the source reference on Chart Studio Cloud for
+            lat .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lon
+            Sets the longitude coordinates (in degrees East).
+        lonsrc
+            Sets the source reference on Chart Studio Cloud for
+            lon .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        radius
+            Sets the radius of influence of one `lon` / `lat` point
+            in pixels. Increasing the value makes the densitymapbox
+            trace smoother, but less detailed.
+        radiussrc
+            Sets the source reference on Chart Studio Cloud for
+            radius .
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.densitymapbox.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a mapbox subplot. If "mapbox" (the default value),
+            the data refer to `layout.mapbox`. If "mapbox2", the
+            data refer to `layout.mapbox2`, and so on.
+        text
+            Sets text elements associated with each (lon,lat) pair
+            If a single string, the same string appears over all
+            the data points. If an array of string, the items are
+            mapped in order to the this trace's (lon,lat)
+            coordinates. If trace `hoverinfo` contains a "text"
+            flag and "hovertext" is not set, these elements will be
+            seen in the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        z
+            Sets the points' weight. For example, a value of 10
+            would be equivalent to having 10 points of weight 1 in
+            the same spot
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Densitymapbox
+        """
+        super(Densitymapbox, self).__init__("densitymapbox")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Densitymapbox 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Densitymapbox`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("below", None)
+        _v = below if below is not None else _v
+        if _v is not None:
+            self["below"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("lat", None)
+        _v = lat if lat is not None else _v
+        if _v is not None:
+            self["lat"] = _v
+        _v = arg.pop("latsrc", None)
+        _v = latsrc if latsrc is not None else _v
+        if _v is not None:
+            self["latsrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lon", None)
+        _v = lon if lon is not None else _v
+        if _v is not None:
+            self["lon"] = _v
+        _v = arg.pop("lonsrc", None)
+        _v = lonsrc if lonsrc is not None else _v
+        if _v is not None:
+            self["lonsrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("radius", None)
+        _v = radius if radius is not None else _v
+        if _v is not None:
+            self["radius"] = _v
+        _v = arg.pop("radiussrc", None)
+        _v = radiussrc if radiussrc is not None else _v
+        if _v is not None:
+            self["radiussrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "densitymapbox"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_figure.py b/packages/python/plotly/plotly/graph_objs/_figure.py
index 696a3eb0a9c..1491b97e4e4 100644
--- a/packages/python/plotly/plotly/graph_objs/_figure.py
+++ b/packages/python/plotly/plotly/graph_objs/_figure.py
@@ -1,54 +1,4 @@
 from plotly.basedatatypes import BaseFigure
-from plotly.graph_objs import (
-    Area,
-    Bar,
-    Barpolar,
-    Box,
-    Candlestick,
-    Carpet,
-    Choropleth,
-    Choroplethmapbox,
-    Cone,
-    Contour,
-    Contourcarpet,
-    Densitymapbox,
-    Funnel,
-    Funnelarea,
-    Heatmap,
-    Heatmapgl,
-    Histogram,
-    Histogram2d,
-    Histogram2dContour,
-    Image,
-    Indicator,
-    Isosurface,
-    Mesh3d,
-    Ohlc,
-    Parcats,
-    Parcoords,
-    Pie,
-    Pointcloud,
-    Sankey,
-    Scatter,
-    Scatter3d,
-    Scattercarpet,
-    Scattergeo,
-    Scattergl,
-    Scattermapbox,
-    Scatterpolar,
-    Scatterpolargl,
-    Scatterternary,
-    Splom,
-    Streamtube,
-    Sunburst,
-    Surface,
-    Table,
-    Treemap,
-    Violin,
-    Volume,
-    Waterfall,
-    layout as _layout,
-)
 
 
 class Figure(BaseFigure):
@@ -774,6 +724,8 @@ def add_area(
         -------
         Figure
         """
+        from plotly.graph_objs import Area
+
         new_trace = Area(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -1199,6 +1151,8 @@ def add_bar(
         -------
         Figure
         """
+        from plotly.graph_objs import Bar
+
         new_trace = Bar(
             alignmentgroup=alignmentgroup,
             base=base,
@@ -1528,6 +1482,8 @@ def add_barpolar(
         -------
         Figure
         """
+        from plotly.graph_objs import Barpolar
+
         new_trace = Barpolar(
             base=base,
             basesrc=basesrc,
@@ -2046,6 +2002,8 @@ def add_box(
         -------
         Figure
         """
+        from plotly.graph_objs import Box
+
         new_trace = Box(
             alignmentgroup=alignmentgroup,
             boxmean=boxmean,
@@ -2359,6 +2317,8 @@ def add_candlestick(
         -------
         Figure
         """
+        from plotly.graph_objs import Candlestick
+
         new_trace = Candlestick(
             close=close,
             closesrc=closesrc,
@@ -2611,6 +2571,8 @@ def add_carpet(
         -------
         Figure
         """
+        from plotly.graph_objs import Carpet
+
         new_trace = Carpet(
             a=a,
             a0=a0,
@@ -2944,6 +2906,8 @@ def add_choropleth(
         -------
         Figure
         """
+        from plotly.graph_objs import Choropleth
+
         new_trace = Choropleth(
             autocolorscale=autocolorscale,
             coloraxis=coloraxis,
@@ -3286,6 +3250,8 @@ def add_choroplethmapbox(
         -------
         Figure
         """
+        from plotly.graph_objs import Choroplethmapbox
+
         new_trace = Choroplethmapbox(
             autocolorscale=autocolorscale,
             below=below,
@@ -3665,6 +3631,8 @@ def add_cone(
         -------
         Figure
         """
+        from plotly.graph_objs import Cone
+
         new_trace = Cone(
             anchor=anchor,
             autocolorscale=autocolorscale,
@@ -4087,6 +4055,8 @@ def add_contour(
         -------
         Figure
         """
+        from plotly.graph_objs import Contour
+
         new_trace = Contour(
             autocolorscale=autocolorscale,
             autocontour=autocontour,
@@ -4451,6 +4421,8 @@ def add_contourcarpet(
         -------
         Figure
         """
+        from plotly.graph_objs import Contourcarpet
+
         new_trace = Contourcarpet(
             a=a,
             a0=a0,
@@ -4796,6 +4768,8 @@ def add_densitymapbox(
         -------
         Figure
         """
+        from plotly.graph_objs import Densitymapbox
+
         new_trace = Densitymapbox(
             autocolorscale=autocolorscale,
             below=below,
@@ -5201,6 +5175,8 @@ def add_funnel(
         -------
         Figure
         """
+        from plotly.graph_objs import Funnel
+
         new_trace = Funnel(
             alignmentgroup=alignmentgroup,
             cliponaxis=cliponaxis,
@@ -5533,6 +5509,8 @@ def add_funnelarea(
         -------
         Figure
         """
+        from plotly.graph_objs import Funnelarea
+
         new_trace = Funnelarea(
             aspectratio=aspectratio,
             baseratio=baseratio,
@@ -5938,6 +5916,8 @@ def add_heatmap(
         -------
         Figure
         """
+        from plotly.graph_objs import Heatmap
+
         new_trace = Heatmap(
             autocolorscale=autocolorscale,
             coloraxis=coloraxis,
@@ -6265,6 +6245,8 @@ def add_heatmapgl(
         -------
         Figure
         """
+        from plotly.graph_objs import Heatmapgl
+
         new_trace = Heatmapgl(
             autocolorscale=autocolorscale,
             coloraxis=coloraxis,
@@ -6653,6 +6635,8 @@ def add_histogram(
         -------
         Figure
         """
+        from plotly.graph_objs import Histogram
+
         new_trace = Histogram(
             alignmentgroup=alignmentgroup,
             autobinx=autobinx,
@@ -7087,6 +7071,8 @@ def add_histogram2d(
         -------
         Figure
         """
+        from plotly.graph_objs import Histogram2d
+
         new_trace = Histogram2d(
             autobinx=autobinx,
             autobiny=autobiny,
@@ -7538,6 +7524,8 @@ def add_histogram2dcontour(
         -------
         Figure
         """
+        from plotly.graph_objs import Histogram2dContour
+
         new_trace = Histogram2dContour(
             autobinx=autobinx,
             autobiny=autobiny,
@@ -7829,6 +7817,8 @@ def add_image(
         -------
         Figure
         """
+        from plotly.graph_objs import Image
+
         new_trace = Image(
             colormodel=colormodel,
             customdata=customdata,
@@ -8007,6 +7997,8 @@ def add_indicator(
         -------
         Figure
         """
+        from plotly.graph_objs import Indicator
+
         new_trace = Indicator(
             align=align,
             customdata=customdata,
@@ -8352,6 +8344,8 @@ def add_isosurface(
         -------
         Figure
         """
+        from plotly.graph_objs import Isosurface
+
         new_trace = Isosurface(
             autocolorscale=autocolorscale,
             caps=caps,
@@ -8817,6 +8811,8 @@ def add_mesh3d(
         -------
         Figure
         """
+        from plotly.graph_objs import Mesh3d
+
         new_trace = Mesh3d(
             alphahull=alphahull,
             autocolorscale=autocolorscale,
@@ -9122,6 +9118,8 @@ def add_ohlc(
         -------
         Figure
         """
+        from plotly.graph_objs import Ohlc
+
         new_trace = Ohlc(
             close=close,
             closesrc=closesrc,
@@ -9340,6 +9338,8 @@ def add_parcats(
         -------
         Figure
         """
+        from plotly.graph_objs import Parcats
+
         new_trace = Parcats(
             arrangement=arrangement,
             bundlecolors=bundlecolors,
@@ -9510,6 +9510,8 @@ def add_parcoords(
         -------
         Figure
         """
+        from plotly.graph_objs import Parcoords
+
         new_trace = Parcoords(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -9856,6 +9858,8 @@ def add_pie(
         -------
         Figure
         """
+        from plotly.graph_objs import Pie
+
         new_trace = Pie(
             automargin=automargin,
             customdata=customdata,
@@ -10138,6 +10142,8 @@ def add_pointcloud(
         -------
         Figure
         """
+        from plotly.graph_objs import Pointcloud
+
         new_trace = Pointcloud(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -10337,6 +10343,8 @@ def add_sankey(
         -------
         Figure
         """
+        from plotly.graph_objs import Sankey
+
         new_trace = Sankey(
             arrangement=arrangement,
             customdata=customdata,
@@ -10791,6 +10799,8 @@ def add_scatter(
         -------
         Figure
         """
+        from plotly.graph_objs import Scatter
+
         new_trace = Scatter(
             cliponaxis=cliponaxis,
             connectgaps=connectgaps,
@@ -11156,6 +11166,8 @@ def add_scatter3d(
         -------
         Figure
         """
+        from plotly.graph_objs import Scatter3d
+
         new_trace = Scatter3d(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -11524,6 +11536,8 @@ def add_scattercarpet(
         -------
         Figure
         """
+        from plotly.graph_objs import Scattercarpet
+
         new_trace = Scattercarpet(
             a=a,
             asrc=asrc,
@@ -11891,6 +11905,8 @@ def add_scattergeo(
         -------
         Figure
         """
+        from plotly.graph_objs import Scattergeo
+
         new_trace = Scattergeo(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -12285,6 +12301,8 @@ def add_scattergl(
         -------
         Figure
         """
+        from plotly.graph_objs import Scattergl
+
         new_trace = Scattergl(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -12626,6 +12644,8 @@ def add_scattermapbox(
         -------
         Figure
         """
+        from plotly.graph_objs import Scattermapbox
+
         new_trace = Scattermapbox(
             below=below,
             connectgaps=connectgaps,
@@ -13001,6 +13021,8 @@ def add_scatterpolar(
         -------
         Figure
         """
+        from plotly.graph_objs import Scatterpolar
+
         new_trace = Scatterpolar(
             cliponaxis=cliponaxis,
             connectgaps=connectgaps,
@@ -13380,6 +13402,8 @@ def add_scatterpolargl(
         -------
         Figure
         """
+        from plotly.graph_objs import Scatterpolargl
+
         new_trace = Scatterpolargl(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -13761,6 +13785,8 @@ def add_scatterternary(
         -------
         Figure
         """
+        from plotly.graph_objs import Scatterternary
+
         new_trace = Scatterternary(
             a=a,
             asrc=asrc,
@@ -14053,6 +14079,8 @@ def add_splom(
         -------
         Figure
         """
+        from plotly.graph_objs import Splom
+
         new_trace = Splom(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -14406,6 +14434,8 @@ def add_streamtube(
         -------
         Figure
         """
+        from plotly.graph_objs import Streamtube
+
         new_trace = Streamtube(
             autocolorscale=autocolorscale,
             cauto=cauto,
@@ -14749,6 +14779,8 @@ def add_sunburst(
         -------
         Figure
         """
+        from plotly.graph_objs import Sunburst
+
         new_trace = Sunburst(
             branchvalues=branchvalues,
             count=count,
@@ -15124,6 +15156,8 @@ def add_surface(
         -------
         Figure
         """
+        from plotly.graph_objs import Surface
+
         new_trace = Surface(
             autocolorscale=autocolorscale,
             cauto=cauto,
@@ -15330,6 +15364,8 @@ def add_table(
         -------
         Figure
         """
+        from plotly.graph_objs import Table
+
         new_trace = Table(
             cells=cells,
             columnorder=columnorder,
@@ -15642,6 +15678,8 @@ def add_treemap(
         -------
         Figure
         """
+        from plotly.graph_objs import Treemap
+
         new_trace = Treemap(
             branchvalues=branchvalues,
             count=count,
@@ -16053,6 +16091,8 @@ def add_violin(
         -------
         Figure
         """
+        from plotly.graph_objs import Violin
+
         new_trace = Violin(
             alignmentgroup=alignmentgroup,
             bandwidth=bandwidth,
@@ -16444,6 +16484,8 @@ def add_volume(
         -------
         Figure
         """
+        from plotly.graph_objs import Volume
+
         new_trace = Volume(
             autocolorscale=autocolorscale,
             caps=caps,
@@ -16884,6 +16926,8 @@ def add_waterfall(
         -------
         Figure
         """
+        from plotly.graph_objs import Waterfall
+
         new_trace = Waterfall(
             alignmentgroup=alignmentgroup,
             base=base,
@@ -18245,6 +18289,8 @@ def add_annotation(
         -------
         Figure
         """
+        from plotly.graph_objs import layout as _layout
+
         new_obj = _layout.Annotation(
             arg,
             align=align,
@@ -18552,6 +18598,8 @@ def add_layout_image(
         -------
         Figure
         """
+        from plotly.graph_objs import layout as _layout
+
         new_obj = _layout.Image(
             arg,
             layer=layer,
@@ -18889,6 +18937,8 @@ def add_shape(
         -------
         Figure
         """
+        from plotly.graph_objs import layout as _layout
+
         new_obj = _layout.Shape(
             arg,
             fillcolor=fillcolor,
diff --git a/packages/python/plotly/plotly/graph_objs/_figurewidget.py b/packages/python/plotly/plotly/graph_objs/_figurewidget.py
index cb41f9c981c..390a4629bc4 100644
--- a/packages/python/plotly/plotly/graph_objs/_figurewidget.py
+++ b/packages/python/plotly/plotly/graph_objs/_figurewidget.py
@@ -1,54 +1,4 @@
 from plotly.basewidget import BaseFigureWidget
-from plotly.graph_objs import (
-    Area,
-    Bar,
-    Barpolar,
-    Box,
-    Candlestick,
-    Carpet,
-    Choropleth,
-    Choroplethmapbox,
-    Cone,
-    Contour,
-    Contourcarpet,
-    Densitymapbox,
-    Funnel,
-    Funnelarea,
-    Heatmap,
-    Heatmapgl,
-    Histogram,
-    Histogram2d,
-    Histogram2dContour,
-    Image,
-    Indicator,
-    Isosurface,
-    Mesh3d,
-    Ohlc,
-    Parcats,
-    Parcoords,
-    Pie,
-    Pointcloud,
-    Sankey,
-    Scatter,
-    Scatter3d,
-    Scattercarpet,
-    Scattergeo,
-    Scattergl,
-    Scattermapbox,
-    Scatterpolar,
-    Scatterpolargl,
-    Scatterternary,
-    Splom,
-    Streamtube,
-    Sunburst,
-    Surface,
-    Table,
-    Treemap,
-    Violin,
-    Volume,
-    Waterfall,
-    layout as _layout,
-)
 
 
 class FigureWidget(BaseFigureWidget):
@@ -774,6 +724,8 @@ def add_area(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Area
+
         new_trace = Area(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -1199,6 +1151,8 @@ def add_bar(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Bar
+
         new_trace = Bar(
             alignmentgroup=alignmentgroup,
             base=base,
@@ -1528,6 +1482,8 @@ def add_barpolar(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Barpolar
+
         new_trace = Barpolar(
             base=base,
             basesrc=basesrc,
@@ -2046,6 +2002,8 @@ def add_box(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Box
+
         new_trace = Box(
             alignmentgroup=alignmentgroup,
             boxmean=boxmean,
@@ -2359,6 +2317,8 @@ def add_candlestick(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Candlestick
+
         new_trace = Candlestick(
             close=close,
             closesrc=closesrc,
@@ -2611,6 +2571,8 @@ def add_carpet(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Carpet
+
         new_trace = Carpet(
             a=a,
             a0=a0,
@@ -2944,6 +2906,8 @@ def add_choropleth(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Choropleth
+
         new_trace = Choropleth(
             autocolorscale=autocolorscale,
             coloraxis=coloraxis,
@@ -3286,6 +3250,8 @@ def add_choroplethmapbox(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Choroplethmapbox
+
         new_trace = Choroplethmapbox(
             autocolorscale=autocolorscale,
             below=below,
@@ -3665,6 +3631,8 @@ def add_cone(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Cone
+
         new_trace = Cone(
             anchor=anchor,
             autocolorscale=autocolorscale,
@@ -4087,6 +4055,8 @@ def add_contour(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Contour
+
         new_trace = Contour(
             autocolorscale=autocolorscale,
             autocontour=autocontour,
@@ -4451,6 +4421,8 @@ def add_contourcarpet(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Contourcarpet
+
         new_trace = Contourcarpet(
             a=a,
             a0=a0,
@@ -4796,6 +4768,8 @@ def add_densitymapbox(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Densitymapbox
+
         new_trace = Densitymapbox(
             autocolorscale=autocolorscale,
             below=below,
@@ -5201,6 +5175,8 @@ def add_funnel(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Funnel
+
         new_trace = Funnel(
             alignmentgroup=alignmentgroup,
             cliponaxis=cliponaxis,
@@ -5533,6 +5509,8 @@ def add_funnelarea(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Funnelarea
+
         new_trace = Funnelarea(
             aspectratio=aspectratio,
             baseratio=baseratio,
@@ -5938,6 +5916,8 @@ def add_heatmap(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Heatmap
+
         new_trace = Heatmap(
             autocolorscale=autocolorscale,
             coloraxis=coloraxis,
@@ -6265,6 +6245,8 @@ def add_heatmapgl(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Heatmapgl
+
         new_trace = Heatmapgl(
             autocolorscale=autocolorscale,
             coloraxis=coloraxis,
@@ -6653,6 +6635,8 @@ def add_histogram(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Histogram
+
         new_trace = Histogram(
             alignmentgroup=alignmentgroup,
             autobinx=autobinx,
@@ -7087,6 +7071,8 @@ def add_histogram2d(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Histogram2d
+
         new_trace = Histogram2d(
             autobinx=autobinx,
             autobiny=autobiny,
@@ -7538,6 +7524,8 @@ def add_histogram2dcontour(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Histogram2dContour
+
         new_trace = Histogram2dContour(
             autobinx=autobinx,
             autobiny=autobiny,
@@ -7829,6 +7817,8 @@ def add_image(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Image
+
         new_trace = Image(
             colormodel=colormodel,
             customdata=customdata,
@@ -8007,6 +7997,8 @@ def add_indicator(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Indicator
+
         new_trace = Indicator(
             align=align,
             customdata=customdata,
@@ -8352,6 +8344,8 @@ def add_isosurface(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Isosurface
+
         new_trace = Isosurface(
             autocolorscale=autocolorscale,
             caps=caps,
@@ -8817,6 +8811,8 @@ def add_mesh3d(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Mesh3d
+
         new_trace = Mesh3d(
             alphahull=alphahull,
             autocolorscale=autocolorscale,
@@ -9122,6 +9118,8 @@ def add_ohlc(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Ohlc
+
         new_trace = Ohlc(
             close=close,
             closesrc=closesrc,
@@ -9340,6 +9338,8 @@ def add_parcats(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Parcats
+
         new_trace = Parcats(
             arrangement=arrangement,
             bundlecolors=bundlecolors,
@@ -9510,6 +9510,8 @@ def add_parcoords(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Parcoords
+
         new_trace = Parcoords(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -9856,6 +9858,8 @@ def add_pie(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Pie
+
         new_trace = Pie(
             automargin=automargin,
             customdata=customdata,
@@ -10138,6 +10142,8 @@ def add_pointcloud(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Pointcloud
+
         new_trace = Pointcloud(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -10337,6 +10343,8 @@ def add_sankey(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Sankey
+
         new_trace = Sankey(
             arrangement=arrangement,
             customdata=customdata,
@@ -10791,6 +10799,8 @@ def add_scatter(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scatter
+
         new_trace = Scatter(
             cliponaxis=cliponaxis,
             connectgaps=connectgaps,
@@ -11156,6 +11166,8 @@ def add_scatter3d(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scatter3d
+
         new_trace = Scatter3d(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -11524,6 +11536,8 @@ def add_scattercarpet(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scattercarpet
+
         new_trace = Scattercarpet(
             a=a,
             asrc=asrc,
@@ -11891,6 +11905,8 @@ def add_scattergeo(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scattergeo
+
         new_trace = Scattergeo(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -12285,6 +12301,8 @@ def add_scattergl(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scattergl
+
         new_trace = Scattergl(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -12626,6 +12644,8 @@ def add_scattermapbox(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scattermapbox
+
         new_trace = Scattermapbox(
             below=below,
             connectgaps=connectgaps,
@@ -13001,6 +13021,8 @@ def add_scatterpolar(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scatterpolar
+
         new_trace = Scatterpolar(
             cliponaxis=cliponaxis,
             connectgaps=connectgaps,
@@ -13380,6 +13402,8 @@ def add_scatterpolargl(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scatterpolargl
+
         new_trace = Scatterpolargl(
             connectgaps=connectgaps,
             customdata=customdata,
@@ -13761,6 +13785,8 @@ def add_scatterternary(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Scatterternary
+
         new_trace = Scatterternary(
             a=a,
             asrc=asrc,
@@ -14053,6 +14079,8 @@ def add_splom(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Splom
+
         new_trace = Splom(
             customdata=customdata,
             customdatasrc=customdatasrc,
@@ -14406,6 +14434,8 @@ def add_streamtube(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Streamtube
+
         new_trace = Streamtube(
             autocolorscale=autocolorscale,
             cauto=cauto,
@@ -14749,6 +14779,8 @@ def add_sunburst(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Sunburst
+
         new_trace = Sunburst(
             branchvalues=branchvalues,
             count=count,
@@ -15124,6 +15156,8 @@ def add_surface(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Surface
+
         new_trace = Surface(
             autocolorscale=autocolorscale,
             cauto=cauto,
@@ -15330,6 +15364,8 @@ def add_table(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Table
+
         new_trace = Table(
             cells=cells,
             columnorder=columnorder,
@@ -15642,6 +15678,8 @@ def add_treemap(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Treemap
+
         new_trace = Treemap(
             branchvalues=branchvalues,
             count=count,
@@ -16053,6 +16091,8 @@ def add_violin(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Violin
+
         new_trace = Violin(
             alignmentgroup=alignmentgroup,
             bandwidth=bandwidth,
@@ -16444,6 +16484,8 @@ def add_volume(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Volume
+
         new_trace = Volume(
             autocolorscale=autocolorscale,
             caps=caps,
@@ -16884,6 +16926,8 @@ def add_waterfall(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import Waterfall
+
         new_trace = Waterfall(
             alignmentgroup=alignmentgroup,
             base=base,
@@ -18245,6 +18289,8 @@ def add_annotation(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import layout as _layout
+
         new_obj = _layout.Annotation(
             arg,
             align=align,
@@ -18552,6 +18598,8 @@ def add_layout_image(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import layout as _layout
+
         new_obj = _layout.Image(
             arg,
             layer=layer,
@@ -18889,6 +18937,8 @@ def add_shape(
         -------
         FigureWidget
         """
+        from plotly.graph_objs import layout as _layout
+
         new_obj = _layout.Shape(
             arg,
             fillcolor=fillcolor,
diff --git a/packages/python/plotly/plotly/graph_objs/_frame.py b/packages/python/plotly/plotly/graph_objs/_frame.py
new file mode 100644
index 00000000000..1b5457ef5e8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_frame.py
@@ -0,0 +1,266 @@
+from plotly.basedatatypes import BaseFrameHierarchyType as _BaseFrameHierarchyType
+import copy as _copy
+
+
+class Frame(_BaseFrameHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "frame"
+    _valid_props = {"baseframe", "data", "group", "layout", "name", "traces"}
+
+    # baseframe
+    # ---------
+    @property
+    def baseframe(self):
+        """
+        The name of the frame into which this frame's properties are
+        merged before applying. This is used to unify properties and
+        avoid needing to specify the same values for the same
+        properties in multiple frames.
+    
+        The 'baseframe' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["baseframe"]
+
+    @baseframe.setter
+    def baseframe(self, val):
+        self["baseframe"] = val
+
+    # data
+    # ----
+    @property
+    def data(self):
+        """
+        A list of traces this frame modifies. The format is identical
+        to the normal trace definition.
+
+        Returns
+        -------
+        Any
+        """
+        return self["data"]
+
+    @data.setter
+    def data(self, val):
+        self["data"] = val
+
+    # group
+    # -----
+    @property
+    def group(self):
+        """
+        An identifier that specifies the group to which the frame
+        belongs, used by animate to select a subset of frames.
+    
+        The 'group' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["group"]
+
+    @group.setter
+    def group(self, val):
+        self["group"] = val
+
+    # layout
+    # ------
+    @property
+    def layout(self):
+        """
+        Layout properties which this frame modifies. The format is
+        identical to the normal layout definition.
+
+        Returns
+        -------
+        Any
+        """
+        return self["layout"]
+
+    @layout.setter
+    def layout(self, val):
+        self["layout"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        A label by which to identify the frame
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # traces
+    # ------
+    @property
+    def traces(self):
+        """
+        A list of trace indices that identify the respective traces in
+        the data attribute
+    
+        The 'traces' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["traces"]
+
+    @traces.setter
+    def traces(self, val):
+        self["traces"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        baseframe
+            The name of the frame into which this frame's
+            properties are merged before applying. This is used to
+            unify properties and avoid needing to specify the same
+            values for the same properties in multiple frames.
+        data
+            A list of traces this frame modifies. The format is
+            identical to the normal trace definition.
+        group
+            An identifier that specifies the group to which the
+            frame belongs, used by animate to select a subset of
+            frames.
+        layout
+            Layout properties which this frame modifies. The format
+            is identical to the normal layout definition.
+        name
+            A label by which to identify the frame
+        traces
+            A list of trace indices that identify the respective
+            traces in the data attribute
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        baseframe=None,
+        data=None,
+        group=None,
+        layout=None,
+        name=None,
+        traces=None,
+        **kwargs
+    ):
+        """
+        Construct a new Frame object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Frame`
+        baseframe
+            The name of the frame into which this frame's
+            properties are merged before applying. This is used to
+            unify properties and avoid needing to specify the same
+            values for the same properties in multiple frames.
+        data
+            A list of traces this frame modifies. The format is
+            identical to the normal trace definition.
+        group
+            An identifier that specifies the group to which the
+            frame belongs, used by animate to select a subset of
+            frames.
+        layout
+            Layout properties which this frame modifies. The format
+            is identical to the normal layout definition.
+        name
+            A label by which to identify the frame
+        traces
+            A list of trace indices that identify the respective
+            traces in the data attribute
+
+        Returns
+        -------
+        Frame
+        """
+        super(Frame, self).__init__("frames")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Frame 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Frame`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("baseframe", None)
+        _v = baseframe if baseframe is not None else _v
+        if _v is not None:
+            self["baseframe"] = _v
+        _v = arg.pop("data", None)
+        _v = data if data is not None else _v
+        if _v is not None:
+            self["data"] = _v
+        _v = arg.pop("group", None)
+        _v = group if group is not None else _v
+        if _v is not None:
+            self["group"] = _v
+        _v = arg.pop("layout", None)
+        _v = layout if layout is not None else _v
+        if _v is not None:
+            self["layout"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("traces", None)
+        _v = traces if traces is not None else _v
+        if _v is not None:
+            self["traces"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_funnel.py b/packages/python/plotly/plotly/graph_objs/_funnel.py
new file mode 100644
index 00000000000..607b67124fa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_funnel.py
@@ -0,0 +1,2423 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Funnel(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "funnel"
+    _valid_props = {
+        "alignmentgroup",
+        "cliponaxis",
+        "connector",
+        "constraintext",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "insidetextanchor",
+        "insidetextfont",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "offset",
+        "offsetgroup",
+        "opacity",
+        "orientation",
+        "outsidetextfont",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textangle",
+        "textfont",
+        "textinfo",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "width",
+        "x",
+        "x0",
+        "xaxis",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ysrc",
+    }
+
+    # alignmentgroup
+    # --------------
+    @property
+    def alignmentgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same alignmentgroup. This controls whether bars
+        compute their positional range dependently or independently.
+    
+        The 'alignmentgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["alignmentgroup"]
+
+    @alignmentgroup.setter
+    def alignmentgroup(self, val):
+        self["alignmentgroup"] = val
+
+    # cliponaxis
+    # ----------
+    @property
+    def cliponaxis(self):
+        """
+        Determines whether the text nodes are clipped about the subplot
+        axes. To show the text nodes above axis lines and tick labels,
+        make sure to set `xaxis.layer` and `yaxis.layer` to *below
+        traces*.
+    
+        The 'cliponaxis' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cliponaxis"]
+
+    @cliponaxis.setter
+    def cliponaxis(self, val):
+        self["cliponaxis"] = val
+
+    # connector
+    # ---------
+    @property
+    def connector(self):
+        """
+        The 'connector' property is an instance of Connector
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Connector`
+          - A dict of string/value properties that will be passed
+            to the Connector constructor
+    
+            Supported dict properties:
+                
+                fillcolor
+                    Sets the fill color.
+                line
+                    :class:`plotly.graph_objects.funnel.connector.L
+                    ine` instance or dict with compatible
+                    properties
+                visible
+                    Determines if connector regions and lines are
+                    drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Connector
+        """
+        return self["connector"]
+
+    @connector.setter
+    def connector(self, val):
+        self["connector"] = val
+
+    # constraintext
+    # -------------
+    @property
+    def constraintext(self):
+        """
+        Constrain the size of text inside or outside a bar to be no
+        larger than the bar itself.
+    
+        The 'constraintext' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'both', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constraintext"]
+
+    @constraintext.setter
+    def constraintext(self, val):
+        self["constraintext"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['name', 'x', 'y', 'text', 'percent initial', 'percent previous', 'percent total'] joined with '+' characters
+            (e.g. 'name+x')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `percentInitial`, `percentPrevious` and
+        `percentTotal`. Anything contained in tag `<extra>` is
+        displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # insidetextanchor
+    # ----------------
+    @property
+    def insidetextanchor(self):
+        """
+        Determines if texts are kept at center or start/end points in
+        `textposition` "inside" mode.
+    
+        The 'insidetextanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['end', 'middle', 'start']
+
+        Returns
+        -------
+        Any
+        """
+        return self["insidetextanchor"]
+
+    @insidetextanchor.setter
+    def insidetextanchor(self, val):
+        self["insidetextanchor"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `text` lying inside the bar.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.funnel.marker.Colo
+                    rBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.funnel.marker.Line
+                    ` instance or dict with compatible properties
+                opacity
+                    Sets the opacity of the bars.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        Shifts the position where the bar is drawn (in position axis
+        units). In "group" barmode, traces that set "offset" will be
+        excluded and drawn in "overlay" mode instead.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # offsetgroup
+    # -----------
+    @property
+    def offsetgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same offsetgroup where bars of the same position
+        coordinate will line up.
+    
+        The 'offsetgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetgroup"]
+
+    @offsetgroup.setter
+    def offsetgroup(self, val):
+        self["offsetgroup"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the funnels. With "v" ("h"), the value
+        of the each bar spans along the vertical (horizontal). By
+        default funnels are tend to be oriented horizontally; unless
+        only "y" array is presented or orientation is set to "v". Also
+        regarding graphs including only 'horizontal' funnels,
+        "autorange" on the "y-axis" are set to "reversed".
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # outsidetextfont
+    # ---------------
+    @property
+    def outsidetextfont(self):
+        """
+        Sets the font used for `text` lying outside the bar.
+    
+        The 'outsidetextfont' property is an instance of Outsidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Outsidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Outsidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Outsidetextfont
+        """
+        return self["outsidetextfont"]
+
+    @outsidetextfont.setter
+    def outsidetextfont(self, val):
+        self["outsidetextfont"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textangle
+    # ---------
+    @property
+    def textangle(self):
+        """
+        Sets the angle of the tick labels with respect to the bar. For
+        example, a `tickangle` of -90 draws the tick labels vertically.
+        With "auto" the texts may automatically be rotated to fit with
+        the maximum size in bars.
+    
+        The 'textangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["textangle"]
+
+    @textangle.setter
+    def textangle(self, val):
+        self["textangle"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `text`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textinfo
+    # --------
+    @property
+    def textinfo(self):
+        """
+        Determines which trace information appear on the graph. In the
+        case of having multiple funnels, percentages & totals are
+        computed separately (per trace).
+    
+        The 'textinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'percent initial', 'percent previous', 'percent total', 'value'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["textinfo"]
+
+    @textinfo.setter
+    def textinfo(self, val):
+        self["textinfo"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Specifies the location of the `text`. "inside" positions `text`
+        inside, next to the bar end (rotated and scaled if needed).
+        "outside" positions `text` outside, next to the bar end (scaled
+        if needed), unless there is another bar stacked on this one,
+        then the text gets pushed inside. "auto" tries to position
+        `text` inside the bar, but if the bar is too small and no bar
+        is stacked on this one the text is moved outside.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'auto', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `percentInitial`, `percentPrevious`,
+        `percentTotal`, `label` and `value`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the bar width (in position axis units).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        cliponaxis
+            Determines whether the text nodes are clipped about the
+            subplot axes. To show the text nodes above axis lines
+            and tick labels, make sure to set `xaxis.layer` and
+            `yaxis.layer` to *below traces*.
+        connector
+            :class:`plotly.graph_objects.funnel.Connector` instance
+            or dict with compatible properties
+        constraintext
+            Constrain the size of text inside or outside a bar to
+            be no larger than the bar itself.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.funnel.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `percentInitial`,
+            `percentPrevious` and `percentTotal`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextanchor
+            Determines if texts are kept at center or start/end
+            points in `textposition` "inside" mode.
+        insidetextfont
+            Sets the font used for `text` lying inside the bar.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.funnel.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the position where the bar is drawn (in position
+            axis units). In "group" barmode, traces that set
+            "offset" will be excluded and drawn in "overlay" mode
+            instead.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the funnels. With "v" ("h"),
+            the value of the each bar spans along the vertical
+            (horizontal). By default funnels are tend to be
+            oriented horizontally; unless only "y" array is
+            presented or orientation is set to "v". Also regarding
+            graphs including only 'horizontal' funnels, "autorange"
+            on the "y-axis" are set to "reversed".
+        outsidetextfont
+            Sets the font used for `text` lying outside the bar.
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.funnel.Stream` instance or
+            dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textangle
+            Sets the angle of the tick labels with respect to the
+            bar. For example, a `tickangle` of -90 draws the tick
+            labels vertically. With "auto" the texts may
+            automatically be rotated to fit with the maximum size
+            in bars.
+        textfont
+            Sets the font used for `text`.
+        textinfo
+            Determines which trace information appear on the graph.
+            In the case of having multiple funnels, percentages &
+            totals are computed separately (per trace).
+        textposition
+            Specifies the location of the `text`. "inside"
+            positions `text` inside, next to the bar end (rotated
+            and scaled if needed). "outside" positions `text`
+            outside, next to the bar end (scaled if needed), unless
+            there is another bar stacked on this one, then the text
+            gets pushed inside. "auto" tries to position `text`
+            inside the bar, but if the bar is too small and no bar
+            is stacked on this one the text is moved outside.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables
+            `percentInitial`, `percentPrevious`, `percentTotal`,
+            `label` and `value`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar width (in position axis units).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alignmentgroup=None,
+        cliponaxis=None,
+        connector=None,
+        constraintext=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        insidetextanchor=None,
+        insidetextfont=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        offset=None,
+        offsetgroup=None,
+        opacity=None,
+        orientation=None,
+        outsidetextfont=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textangle=None,
+        textfont=None,
+        textinfo=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        width=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Funnel object
+        
+        Visualize stages in a process using length-encoded bars. This
+        trace can be used to show data in either a part-to-whole
+        representation wherein each item appears in a single stage, or
+        in a "drop-off" representation wherein each item appears in
+        each stage it traversed. See also the "funnelarea" trace type
+        for a different approach to visualizing funnel data.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Funnel`
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        cliponaxis
+            Determines whether the text nodes are clipped about the
+            subplot axes. To show the text nodes above axis lines
+            and tick labels, make sure to set `xaxis.layer` and
+            `yaxis.layer` to *below traces*.
+        connector
+            :class:`plotly.graph_objects.funnel.Connector` instance
+            or dict with compatible properties
+        constraintext
+            Constrain the size of text inside or outside a bar to
+            be no larger than the bar itself.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.funnel.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `percentInitial`,
+            `percentPrevious` and `percentTotal`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextanchor
+            Determines if texts are kept at center or start/end
+            points in `textposition` "inside" mode.
+        insidetextfont
+            Sets the font used for `text` lying inside the bar.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.funnel.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the position where the bar is drawn (in position
+            axis units). In "group" barmode, traces that set
+            "offset" will be excluded and drawn in "overlay" mode
+            instead.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the funnels. With "v" ("h"),
+            the value of the each bar spans along the vertical
+            (horizontal). By default funnels are tend to be
+            oriented horizontally; unless only "y" array is
+            presented or orientation is set to "v". Also regarding
+            graphs including only 'horizontal' funnels, "autorange"
+            on the "y-axis" are set to "reversed".
+        outsidetextfont
+            Sets the font used for `text` lying outside the bar.
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.funnel.Stream` instance or
+            dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textangle
+            Sets the angle of the tick labels with respect to the
+            bar. For example, a `tickangle` of -90 draws the tick
+            labels vertically. With "auto" the texts may
+            automatically be rotated to fit with the maximum size
+            in bars.
+        textfont
+            Sets the font used for `text`.
+        textinfo
+            Determines which trace information appear on the graph.
+            In the case of having multiple funnels, percentages &
+            totals are computed separately (per trace).
+        textposition
+            Specifies the location of the `text`. "inside"
+            positions `text` inside, next to the bar end (rotated
+            and scaled if needed). "outside" positions `text`
+            outside, next to the bar end (scaled if needed), unless
+            there is another bar stacked on this one, then the text
+            gets pushed inside. "auto" tries to position `text`
+            inside the bar, but if the bar is too small and no bar
+            is stacked on this one the text is moved outside.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables
+            `percentInitial`, `percentPrevious`, `percentTotal`,
+            `label` and `value`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar width (in position axis units).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Funnel
+        """
+        super(Funnel, self).__init__("funnel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Funnel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Funnel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alignmentgroup", None)
+        _v = alignmentgroup if alignmentgroup is not None else _v
+        if _v is not None:
+            self["alignmentgroup"] = _v
+        _v = arg.pop("cliponaxis", None)
+        _v = cliponaxis if cliponaxis is not None else _v
+        if _v is not None:
+            self["cliponaxis"] = _v
+        _v = arg.pop("connector", None)
+        _v = connector if connector is not None else _v
+        if _v is not None:
+            self["connector"] = _v
+        _v = arg.pop("constraintext", None)
+        _v = constraintext if constraintext is not None else _v
+        if _v is not None:
+            self["constraintext"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("insidetextanchor", None)
+        _v = insidetextanchor if insidetextanchor is not None else _v
+        if _v is not None:
+            self["insidetextanchor"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("offsetgroup", None)
+        _v = offsetgroup if offsetgroup is not None else _v
+        if _v is not None:
+            self["offsetgroup"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("outsidetextfont", None)
+        _v = outsidetextfont if outsidetextfont is not None else _v
+        if _v is not None:
+            self["outsidetextfont"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textangle", None)
+        _v = textangle if textangle is not None else _v
+        if _v is not None:
+            self["textangle"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textinfo", None)
+        _v = textinfo if textinfo is not None else _v
+        if _v is not None:
+            self["textinfo"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "funnel"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_funnelarea.py b/packages/python/plotly/plotly/graph_objs/_funnelarea.py
new file mode 100644
index 00000000000..bfcd1551969
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_funnelarea.py
@@ -0,0 +1,1876 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Funnelarea(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "funnelarea"
+    _valid_props = {
+        "aspectratio",
+        "baseratio",
+        "customdata",
+        "customdatasrc",
+        "dlabel",
+        "domain",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "insidetextfont",
+        "label0",
+        "labels",
+        "labelssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "scalegroup",
+        "showlegend",
+        "stream",
+        "text",
+        "textfont",
+        "textinfo",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "title",
+        "type",
+        "uid",
+        "uirevision",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # aspectratio
+    # -----------
+    @property
+    def aspectratio(self):
+        """
+        Sets the ratio between height and width
+    
+        The 'aspectratio' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["aspectratio"]
+
+    @aspectratio.setter
+    def aspectratio(self, val):
+        self["aspectratio"] = val
+
+    # baseratio
+    # ---------
+    @property
+    def baseratio(self):
+        """
+        Sets the ratio between bottom length and maximum top length.
+    
+        The 'baseratio' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["baseratio"]
+
+    @baseratio.setter
+    def baseratio(self, val):
+        self["baseratio"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dlabel
+    # ------
+    @property
+    def dlabel(self):
+        """
+        Sets the label step. See `label0` for more info.
+    
+        The 'dlabel' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dlabel"]
+
+    @dlabel.setter
+    def dlabel(self, val):
+        self["dlabel"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this funnelarea
+                    trace .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this funnelarea trace
+                    .
+                x
+                    Sets the horizontal domain of this funnelarea
+                    trace (in plot fraction).
+                y
+                    Sets the vertical domain of this funnelarea
+                    trace (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'percent', 'name'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `label`, `color`, `value`, `text` and `percent`.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each sector. If a
+        single string, the same string appears for all data points. If
+        an array of string, the items are mapped in order of this
+        trace's sectors. To be seen, trace `hoverinfo` must contain a
+        "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying inside the sector.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # label0
+    # ------
+    @property
+    def label0(self):
+        """
+        Alternate to `labels`. Builds a numeric set of labels. Use with
+        `dlabel` where `label0` is the starting label and `dlabel` the
+        step.
+    
+        The 'label0' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["label0"]
+
+    @label0.setter
+    def label0(self, val):
+        self["label0"] = val
+
+    # labels
+    # ------
+    @property
+    def labels(self):
+        """
+        Sets the sector labels. If `labels` entries are duplicated, we
+        sum associated `values` or simply count occurrences if `values`
+        is not provided. For other array attributes (including color)
+        we use the first non-empty entry among all occurrences of the
+        label.
+    
+        The 'labels' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["labels"]
+
+    @labels.setter
+    def labels(self, val):
+        self["labels"] = val
+
+    # labelssrc
+    # ---------
+    @property
+    def labelssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  labels .
+    
+        The 'labelssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["labelssrc"]
+
+    @labelssrc.setter
+    def labelssrc(self, val):
+        self["labelssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                colors
+                    Sets the color of each sector. If not
+                    specified, the default trace color set is used
+                    to pick the sector colors.
+                colorssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  colors .
+                line
+                    :class:`plotly.graph_objects.funnelarea.marker.
+                    Line` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # scalegroup
+    # ----------
+    @property
+    def scalegroup(self):
+        """
+        If there are multiple funnelareas that should be sized
+        according to their totals, link them by providing a non-empty
+        group id here shared by every trace in the same group.
+    
+        The 'scalegroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["scalegroup"]
+
+    @scalegroup.setter
+    def scalegroup(self, val):
+        self["scalegroup"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each sector. If trace
+        `textinfo` contains a "text" flag, these elements will be seen
+        on the chart. If trace `hoverinfo` contains a "text" flag and
+        "hovertext" is not set, these elements will be seen in the
+        hover labels.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `textinfo`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textinfo
+    # --------
+    @property
+    def textinfo(self):
+        """
+        Determines which trace information appear on the graph.
+    
+        The 'textinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'percent'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["textinfo"]
+
+    @textinfo.setter
+    def textinfo(self, val):
+        self["textinfo"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Specifies the location of the `textinfo`.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `label`, `color`, `value`, `text` and
+        `percent`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets the font used for `title`. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                position
+                    Specifies the location of the `title`. Note
+                    that the title's position used to be set by the
+                    now deprecated `titleposition` attribute.
+                text
+                    Sets the title of the chart. If it is empty, no
+                    title is displayed. Note that before the
+                    existence of `title.text`, the title's contents
+                    used to be defined as the `title` attribute
+                    itself. This behavior has been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the values of the sectors. If omitted, we count
+        occurrences of each label.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        aspectratio
+            Sets the ratio between height and width
+        baseratio
+            Sets the ratio between bottom length and maximum top
+            length.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dlabel
+            Sets the label step. See `label0` for more info.
+        domain
+            :class:`plotly.graph_objects.funnelarea.Domain`
+            instance or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.funnelarea.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `label`, `color`, `value`,
+            `text` and `percent`. Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        label0
+            Alternate to `labels`. Builds a numeric set of labels.
+            Use with `dlabel` where `label0` is the starting label
+            and `dlabel` the step.
+        labels
+            Sets the sector labels. If `labels` entries are
+            duplicated, we sum associated `values` or simply count
+            occurrences if `values` is not provided. For other
+            array attributes (including color) we use the first
+            non-empty entry among all occurrences of the label.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.funnelarea.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        scalegroup
+            If there are multiple funnelareas that should be sized
+            according to their totals, link them by providing a
+            non-empty group id here shared by every trace in the
+            same group.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.funnelarea.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textposition
+            Specifies the location of the `textinfo`.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `label`,
+            `color`, `value`, `text` and `percent`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        title
+            :class:`plotly.graph_objects.funnelarea.Title` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values of the sectors. If omitted, we count
+            occurrences of each label.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        aspectratio=None,
+        baseratio=None,
+        customdata=None,
+        customdatasrc=None,
+        dlabel=None,
+        domain=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        insidetextfont=None,
+        label0=None,
+        labels=None,
+        labelssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        scalegroup=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textinfo=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        title=None,
+        uid=None,
+        uirevision=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Funnelarea object
+        
+        Visualize stages in a process using area-encoded trapezoids.
+        This trace can be used to show data in a part-to-whole
+        representation similar to a "pie" trace, wherein each item
+        appears in a single stage. See also the "funnel" trace type for
+        a different approach to visualizing funnel data.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Funnelarea`
+        aspectratio
+            Sets the ratio between height and width
+        baseratio
+            Sets the ratio between bottom length and maximum top
+            length.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dlabel
+            Sets the label step. See `label0` for more info.
+        domain
+            :class:`plotly.graph_objects.funnelarea.Domain`
+            instance or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.funnelarea.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `label`, `color`, `value`,
+            `text` and `percent`. Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        label0
+            Alternate to `labels`. Builds a numeric set of labels.
+            Use with `dlabel` where `label0` is the starting label
+            and `dlabel` the step.
+        labels
+            Sets the sector labels. If `labels` entries are
+            duplicated, we sum associated `values` or simply count
+            occurrences if `values` is not provided. For other
+            array attributes (including color) we use the first
+            non-empty entry among all occurrences of the label.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.funnelarea.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        scalegroup
+            If there are multiple funnelareas that should be sized
+            according to their totals, link them by providing a
+            non-empty group id here shared by every trace in the
+            same group.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.funnelarea.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textposition
+            Specifies the location of the `textinfo`.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `label`,
+            `color`, `value`, `text` and `percent`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        title
+            :class:`plotly.graph_objects.funnelarea.Title` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values of the sectors. If omitted, we count
+            occurrences of each label.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Funnelarea
+        """
+        super(Funnelarea, self).__init__("funnelarea")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Funnelarea 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Funnelarea`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("aspectratio", None)
+        _v = aspectratio if aspectratio is not None else _v
+        if _v is not None:
+            self["aspectratio"] = _v
+        _v = arg.pop("baseratio", None)
+        _v = baseratio if baseratio is not None else _v
+        if _v is not None:
+            self["baseratio"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dlabel", None)
+        _v = dlabel if dlabel is not None else _v
+        if _v is not None:
+            self["dlabel"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("label0", None)
+        _v = label0 if label0 is not None else _v
+        if _v is not None:
+            self["label0"] = _v
+        _v = arg.pop("labels", None)
+        _v = labels if labels is not None else _v
+        if _v is not None:
+            self["labels"] = _v
+        _v = arg.pop("labelssrc", None)
+        _v = labelssrc if labelssrc is not None else _v
+        if _v is not None:
+            self["labelssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("scalegroup", None)
+        _v = scalegroup if scalegroup is not None else _v
+        if _v is not None:
+            self["scalegroup"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textinfo", None)
+        _v = textinfo if textinfo is not None else _v
+        if _v is not None:
+            self["textinfo"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "funnelarea"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_heatmap.py b/packages/python/plotly/plotly/graph_objs/_heatmap.py
new file mode 100644
index 00000000000..ec6cf07e68f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_heatmap.py
@@ -0,0 +1,2485 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Heatmap(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "heatmap"
+    _valid_props = {
+        "autocolorscale",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoverongaps",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "reversescale",
+        "showlegend",
+        "showscale",
+        "stream",
+        "text",
+        "textsrc",
+        "transpose",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "x0",
+        "xaxis",
+        "xcalendar",
+        "xgap",
+        "xsrc",
+        "xtype",
+        "y",
+        "y0",
+        "yaxis",
+        "ycalendar",
+        "ygap",
+        "ysrc",
+        "ytype",
+        "z",
+        "zauto",
+        "zhoverformat",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsmooth",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.heatmap
+                    .colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.heatmap.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of heatmap.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.heatmap.colorbar.T
+                    itle` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    heatmap.colorbar.title.font instead. Sets this
+                    color bar's title font. Note that the title's
+                    font used to be set by the now deprecated
+                    `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    heatmap.colorbar.title.side instead. Determines
+                    the location of color bar's title with respect
+                    to the color bar. Note that the title's
+                    location used to be set by the now deprecated
+                    `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the `z` data are filled in. It is defaulted to true if `z`
+        is a one dimensional array and `zsmooth` is not false;
+        otherwise it is defaulted to false.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoverongaps
+    # -----------
+    @property
+    def hoverongaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the `z` data have hover labels associated with them.
+    
+        The 'hoverongaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["hoverongaps"]
+
+    @hoverongaps.setter
+    def hoverongaps(self, val):
+        self["hoverongaps"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each z value.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # transpose
+    # ---------
+    @property
+    def transpose(self):
+        """
+        Transposes the z data.
+    
+        The 'transpose' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["transpose"]
+
+    @transpose.setter
+    def transpose(self, val):
+        self["transpose"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xgap
+    # ----
+    @property
+    def xgap(self):
+        """
+        Sets the horizontal gap (in pixels) between bricks.
+    
+        The 'xgap' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xgap"]
+
+    @xgap.setter
+    def xgap(self, val):
+        self["xgap"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # xtype
+    # -----
+    @property
+    def xtype(self):
+        """
+        If "array", the heatmap's x coordinates are given by "x" (the
+        default behavior when `x` is provided). If "scaled", the
+        heatmap's x coordinates are given by "x0" and "dx" (the default
+        behavior when `x` is not provided).
+    
+        The 'xtype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xtype"]
+
+    @xtype.setter
+    def xtype(self, val):
+        self["xtype"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ygap
+    # ----
+    @property
+    def ygap(self):
+        """
+        Sets the vertical gap (in pixels) between bricks.
+    
+        The 'ygap' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ygap"]
+
+    @ygap.setter
+    def ygap(self, val):
+        self["ygap"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # ytype
+    # -----
+    @property
+    def ytype(self):
+        """
+        If "array", the heatmap's y coordinates are given by "y" (the
+        default behavior when `y` is provided) If "scaled", the
+        heatmap's y coordinates are given by "y0" and "dy" (the default
+        behavior when `y` is not provided)
+    
+        The 'ytype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ytype"]
+
+    @ytype.setter
+    def ytype(self, val):
+        self["ytype"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z data.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zhoverformat
+    # ------------
+    @property
+    def zhoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. See:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'zhoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["zhoverformat"]
+
+    @zhoverformat.setter
+    def zhoverformat(self, val):
+        self["zhoverformat"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsmooth
+    # -------
+    @property
+    def zsmooth(self):
+        """
+        Picks a smoothing algorithm use to smooth `z` data.
+    
+        The 'zsmooth' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fast', 'best', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["zsmooth"]
+
+    @zsmooth.setter
+    def zsmooth(self, val):
+        self["zsmooth"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.heatmap.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data are filled in. It is defaulted
+            to true if `z` is a one dimensional array and `zsmooth`
+            is not false; otherwise it is defaulted to false.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.heatmap.Hoverlabel`
+            instance or dict with compatible properties
+        hoverongaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data have hover labels associated
+            with them.
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.heatmap.Stream` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xgap
+            Sets the horizontal gap (in pixels) between bricks.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xtype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ygap
+            Sets the vertical gap (in pixels) between bricks.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        ytype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsmooth
+            Picks a smoothing algorithm use to smooth `z` data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoverongaps=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        reversescale=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        transpose=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xcalendar=None,
+        xgap=None,
+        xsrc=None,
+        xtype=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ycalendar=None,
+        ygap=None,
+        ysrc=None,
+        ytype=None,
+        z=None,
+        zauto=None,
+        zhoverformat=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsmooth=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Heatmap object
+        
+        The data that describes the heatmap value-to-color mapping is
+        set in `z`. Data in `z` can either be a 2D list of values
+        (ragged or not) or a 1D array of values. In the case where `z`
+        is a 2D list, say that `z` has N rows and M columns. Then, by
+        default, the resulting heatmap will have N partitions along the
+        y axis and M partitions along the x axis. In other words, the
+        i-th row/ j-th column cell in `z` is mapped to the i-th
+        partition of the y axis (starting from the bottom of the plot)
+        and the j-th partition of the x-axis (starting from the left of
+        the plot). This behavior can be flipped by using `transpose`.
+        Moreover, `x` (`y`) can be provided with M or M+1 (N or N+1)
+        elements. If M (N), then the coordinates correspond to the
+        center of the heatmap cells and the cells have equal width. If
+        M+1 (N+1), then the coordinates correspond to the edges of the
+        heatmap cells. In the case where `z` is a 1D list, the x and y
+        coordinates must be provided in `x` and `y` respectively to
+        form data triplets.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Heatmap`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.heatmap.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data are filled in. It is defaulted
+            to true if `z` is a one dimensional array and `zsmooth`
+            is not false; otherwise it is defaulted to false.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.heatmap.Hoverlabel`
+            instance or dict with compatible properties
+        hoverongaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data have hover labels associated
+            with them.
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.heatmap.Stream` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xgap
+            Sets the horizontal gap (in pixels) between bricks.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xtype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ygap
+            Sets the vertical gap (in pixels) between bricks.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        ytype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsmooth
+            Picks a smoothing algorithm use to smooth `z` data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Heatmap
+        """
+        super(Heatmap, self).__init__("heatmap")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Heatmap 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Heatmap`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoverongaps", None)
+        _v = hoverongaps if hoverongaps is not None else _v
+        if _v is not None:
+            self["hoverongaps"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("transpose", None)
+        _v = transpose if transpose is not None else _v
+        if _v is not None:
+            self["transpose"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xgap", None)
+        _v = xgap if xgap is not None else _v
+        if _v is not None:
+            self["xgap"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("xtype", None)
+        _v = xtype if xtype is not None else _v
+        if _v is not None:
+            self["xtype"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ygap", None)
+        _v = ygap if ygap is not None else _v
+        if _v is not None:
+            self["ygap"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("ytype", None)
+        _v = ytype if ytype is not None else _v
+        if _v is not None:
+            self["ytype"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zhoverformat", None)
+        _v = zhoverformat if zhoverformat is not None else _v
+        if _v is not None:
+            self["zhoverformat"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsmooth", None)
+        _v = zsmooth if zsmooth is not None else _v
+        if _v is not None:
+            self["zsmooth"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "heatmap"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_heatmapgl.py b/packages/python/plotly/plotly/graph_objs/_heatmapgl.py
new file mode 100644
index 00000000000..1de1d19171b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_heatmapgl.py
@@ -0,0 +1,1937 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Heatmapgl(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "heatmapgl"
+    _valid_props = {
+        "autocolorscale",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "ids",
+        "idssrc",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "reversescale",
+        "showscale",
+        "stream",
+        "text",
+        "textsrc",
+        "transpose",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "x0",
+        "xaxis",
+        "xsrc",
+        "xtype",
+        "y",
+        "y0",
+        "yaxis",
+        "ysrc",
+        "ytype",
+        "z",
+        "zauto",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.heatmap
+                    gl.colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.heatmapgl.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of heatmapgl.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.heatmapgl.colorbar
+                    .Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    heatmapgl.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    heatmapgl.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each z value.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # transpose
+    # ---------
+    @property
+    def transpose(self):
+        """
+        Transposes the z data.
+    
+        The 'transpose' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["transpose"]
+
+    @transpose.setter
+    def transpose(self, val):
+        self["transpose"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # xtype
+    # -----
+    @property
+    def xtype(self):
+        """
+        If "array", the heatmap's x coordinates are given by "x" (the
+        default behavior when `x` is provided). If "scaled", the
+        heatmap's x coordinates are given by "x0" and "dx" (the default
+        behavior when `x` is not provided).
+    
+        The 'xtype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xtype"]
+
+    @xtype.setter
+    def xtype(self, val):
+        self["xtype"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # ytype
+    # -----
+    @property
+    def ytype(self):
+        """
+        If "array", the heatmap's y coordinates are given by "y" (the
+        default behavior when `y` is provided) If "scaled", the
+        heatmap's y coordinates are given by "y0" and "dy" (the default
+        behavior when `y` is not provided)
+    
+        The 'ytype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['array', 'scaled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ytype"]
+
+    @ytype.setter
+    def ytype(self, val):
+        self["ytype"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z data.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.heatmapgl.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.heatmapgl.Hoverlabel`
+            instance or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.heatmapgl.Stream` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xtype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        ytype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        ids=None,
+        idssrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        reversescale=None,
+        showscale=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        transpose=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xsrc=None,
+        xtype=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ysrc=None,
+        ytype=None,
+        z=None,
+        zauto=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Heatmapgl object
+        
+        WebGL version of the heatmap trace type.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Heatmapgl`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.heatmapgl.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.heatmapgl.Hoverlabel`
+            instance or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.heatmapgl.Stream` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        transpose
+            Transposes the z data.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xtype
+            If "array", the heatmap's x coordinates are given by
+            "x" (the default behavior when `x` is provided). If
+            "scaled", the heatmap's x coordinates are given by "x0"
+            and "dx" (the default behavior when `x` is not
+            provided).
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        ytype
+            If "array", the heatmap's y coordinates are given by
+            "y" (the default behavior when `y` is provided) If
+            "scaled", the heatmap's y coordinates are given by "y0"
+            and "dy" (the default behavior when `y` is not
+            provided)
+        z
+            Sets the z data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Heatmapgl
+        """
+        super(Heatmapgl, self).__init__("heatmapgl")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Heatmapgl 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Heatmapgl`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("transpose", None)
+        _v = transpose if transpose is not None else _v
+        if _v is not None:
+            self["transpose"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("xtype", None)
+        _v = xtype if xtype is not None else _v
+        if _v is not None:
+            self["xtype"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("ytype", None)
+        _v = ytype if ytype is not None else _v
+        if _v is not None:
+            self["ytype"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "heatmapgl"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_histogram.py b/packages/python/plotly/plotly/graph_objs/_histogram.py
new file mode 100644
index 00000000000..ff2667b32a7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_histogram.py
@@ -0,0 +1,2461 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Histogram(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "histogram"
+    _valid_props = {
+        "alignmentgroup",
+        "autobinx",
+        "autobiny",
+        "bingroup",
+        "cumulative",
+        "customdata",
+        "customdatasrc",
+        "error_x",
+        "error_y",
+        "histfunc",
+        "histnorm",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "nbinsx",
+        "nbinsy",
+        "offsetgroup",
+        "opacity",
+        "orientation",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "x",
+        "xaxis",
+        "xbins",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "yaxis",
+        "ybins",
+        "ycalendar",
+        "ysrc",
+    }
+
+    # alignmentgroup
+    # --------------
+    @property
+    def alignmentgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same alignmentgroup. This controls whether bars
+        compute their positional range dependently or independently.
+    
+        The 'alignmentgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["alignmentgroup"]
+
+    @alignmentgroup.setter
+    def alignmentgroup(self, val):
+        self["alignmentgroup"] = val
+
+    # autobinx
+    # --------
+    @property
+    def autobinx(self):
+        """
+        Obsolete: since v1.42 each bin attribute is auto-determined
+        separately and `autobinx` is not needed. However, we accept
+        `autobinx: true` or `false` and will update `xbins` accordingly
+        before deleting `autobinx` from the trace.
+    
+        The 'autobinx' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autobinx"]
+
+    @autobinx.setter
+    def autobinx(self, val):
+        self["autobinx"] = val
+
+    # autobiny
+    # --------
+    @property
+    def autobiny(self):
+        """
+        Obsolete: since v1.42 each bin attribute is auto-determined
+        separately and `autobiny` is not needed. However, we accept
+        `autobiny: true` or `false` and will update `ybins` accordingly
+        before deleting `autobiny` from the trace.
+    
+        The 'autobiny' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autobiny"]
+
+    @autobiny.setter
+    def autobiny(self, val):
+        self["autobiny"] = val
+
+    # bingroup
+    # --------
+    @property
+    def bingroup(self):
+        """
+        Set a group of histogram traces which will have compatible bin
+        settings. Note that traces on the same subplot and with the
+        same "orientation" under `barmode` "stack", "relative" and
+        "group" are forced into the same bingroup, Using `bingroup`,
+        traces under `barmode` "overlay" and on different axes (of the
+        same axis type) can have compatible bin settings. Note that
+        histogram and histogram2d* trace can share the same `bingroup`
+    
+        The 'bingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["bingroup"]
+
+    @bingroup.setter
+    def bingroup(self, val):
+        self["bingroup"] = val
+
+    # cumulative
+    # ----------
+    @property
+    def cumulative(self):
+        """
+        The 'cumulative' property is an instance of Cumulative
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.Cumulative`
+          - A dict of string/value properties that will be passed
+            to the Cumulative constructor
+    
+            Supported dict properties:
+                
+                currentbin
+                    Only applies if cumulative is enabled. Sets
+                    whether the current bin is included, excluded,
+                    or has half of its value included in the
+                    current cumulative value. "include" is the
+                    default for compatibility with various other
+                    tools, however it introduces a half-bin bias to
+                    the results. "exclude" makes the opposite half-
+                    bin bias, and "half" removes it.
+                direction
+                    Only applies if cumulative is enabled. If
+                    "increasing" (default) we sum all prior bins,
+                    so the result increases from left to right. If
+                    "decreasing" we sum later bins so the result
+                    decreases from left to right.
+                enabled
+                    If true, display the cumulative distribution by
+                    summing the binned values. Use the `direction`
+                    and `centralbin` attributes to tune the
+                    accumulation method. Note: in this mode, the
+                    "density" `histnorm` settings behave the same
+                    as their equivalents without "density": "" and
+                    "density" both rise to the number of data
+                    points, and "probability" and *probability
+                    density* both rise to the number of sample
+                    points.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.Cumulative
+        """
+        return self["cumulative"]
+
+    @cumulative.setter
+    def cumulative(self, val):
+        self["cumulative"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # error_x
+    # -------
+    @property
+    def error_x(self):
+        """
+        The 'error_x' property is an instance of ErrorX
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.ErrorX`
+          - A dict of string/value properties that will be passed
+            to the ErrorX constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                copy_ystyle
+    
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.ErrorX
+        """
+        return self["error_x"]
+
+    @error_x.setter
+    def error_x(self, val):
+        self["error_x"] = val
+
+    # error_y
+    # -------
+    @property
+    def error_y(self):
+        """
+        The 'error_y' property is an instance of ErrorY
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.ErrorY`
+          - A dict of string/value properties that will be passed
+            to the ErrorY constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.ErrorY
+        """
+        return self["error_y"]
+
+    @error_y.setter
+    def error_y(self, val):
+        self["error_y"] = val
+
+    # histfunc
+    # --------
+    @property
+    def histfunc(self):
+        """
+        Specifies the binning function used for this histogram trace.
+        If "count", the histogram values are computed by counting the
+        number of values lying inside each bin. If "sum", "avg", "min",
+        "max", the histogram values are computed using the sum, the
+        average, the minimum or the maximum of the values lying inside
+        each bin respectively.
+    
+        The 'histfunc' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['count', 'sum', 'avg', 'min', 'max']
+
+        Returns
+        -------
+        Any
+        """
+        return self["histfunc"]
+
+    @histfunc.setter
+    def histfunc(self, val):
+        self["histfunc"] = val
+
+    # histnorm
+    # --------
+    @property
+    def histnorm(self):
+        """
+        Specifies the type of normalization used for this histogram
+        trace. If "", the span of each bar corresponds to the number of
+        occurrences (i.e. the number of data points lying inside the
+        bins). If "percent" / "probability", the span of each bar
+        corresponds to the percentage / fraction of occurrences with
+        respect to the total number of sample points (here, the sum of
+        all bin HEIGHTS equals 100% / 1). If "density", the span of
+        each bar corresponds to the number of occurrences in a bin
+        divided by the size of the bin interval (here, the sum of all
+        bin AREAS equals the total number of sample points). If
+        *probability density*, the area of each bar corresponds to the
+        probability that an event will fall into the corresponding bin
+        (here, the sum of all bin AREAS equals 1).
+    
+        The 'histnorm' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['', 'percent', 'probability', 'density', 'probability
+                density']
+
+        Returns
+        -------
+        Any
+        """
+        return self["histnorm"]
+
+    @histnorm.setter
+    def histnorm(self, val):
+        self["histnorm"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variable `binNumber` Anything contained in tag `<extra>` is
+        displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.histogram.marker.C
+                    olorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.histogram.marker.L
+                    ine` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the opacity of the bars.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # nbinsx
+    # ------
+    @property
+    def nbinsx(self):
+        """
+        Specifies the maximum number of desired bins. This value will
+        be used in an algorithm that will decide the optimal bin size
+        such that the histogram best visualizes the distribution of the
+        data. Ignored if `xbins.size` is provided.
+    
+        The 'nbinsx' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nbinsx"]
+
+    @nbinsx.setter
+    def nbinsx(self, val):
+        self["nbinsx"] = val
+
+    # nbinsy
+    # ------
+    @property
+    def nbinsy(self):
+        """
+        Specifies the maximum number of desired bins. This value will
+        be used in an algorithm that will decide the optimal bin size
+        such that the histogram best visualizes the distribution of the
+        data. Ignored if `ybins.size` is provided.
+    
+        The 'nbinsy' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nbinsy"]
+
+    @nbinsy.setter
+    def nbinsy(self, val):
+        self["nbinsy"] = val
+
+    # offsetgroup
+    # -----------
+    @property
+    def offsetgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same offsetgroup where bars of the same position
+        coordinate will line up.
+    
+        The 'offsetgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetgroup"]
+
+    @offsetgroup.setter
+    def offsetgroup(self, val):
+        self["offsetgroup"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the bars. With "v" ("h"), the value of
+        the each bar spans along the vertical (horizontal).
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.histogram.selected
+                    .Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.histogram.selected
+                    .Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets hover text elements associated with each bar. If a single
+        string, the same string appears over all bars. If an array of
+        string, the items are mapped in order to the this trace's
+        coordinates.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.histogram.unselect
+                    ed.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.histogram.unselect
+                    ed.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the sample data to be binned on the x axis.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xbins
+    # -----
+    @property
+    def xbins(self):
+        """
+        The 'xbins' property is an instance of XBins
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.XBins`
+          - A dict of string/value properties that will be passed
+            to the XBins constructor
+    
+            Supported dict properties:
+                
+                end
+                    Sets the end value for the x axis bins. The
+                    last bin may not end exactly at this value, we
+                    increment the bin edge by `size` from `start`
+                    until we reach or exceed `end`. Defaults to the
+                    maximum data value. Like `start`, for dates use
+                    a date string, and for category data `end` is
+                    based on the category serial numbers.
+                size
+                    Sets the size of each x axis bin. Default
+                    behavior: If `nbinsx` is 0 or omitted, we
+                    choose a nice round bin size such that the
+                    number of bins is about the same as the typical
+                    number of samples in each bin. If `nbinsx` is
+                    provided, we choose a nice round bin size
+                    giving no more than that many bins. For date
+                    data, use milliseconds or "M<n>" for months, as
+                    in `axis.dtick`. For category data, the number
+                    of categories to bin together (always defaults
+                    to 1). If multiple non-overlaying histograms
+                    share a subplot, the first explicit `size` is
+                    used and all others discarded. If no `size` is
+                    provided,the sample data from all traces is
+                    combined to determine `size` as described
+                    above.
+                start
+                    Sets the starting value for the x axis bins.
+                    Defaults to the minimum data value, shifted
+                    down if necessary to make nice round values and
+                    to remove ambiguous bin edges. For example, if
+                    most of the data is integers we shift the bin
+                    edges 0.5 down, so a `size` of 5 would have a
+                    default `start` of -0.5, so it is clear that
+                    0-4 are in the first bin, 5-9 in the second,
+                    but continuous data gets a start of 0 and bins
+                    [0,5), [5,10) etc. Dates behave similarly, and
+                    `start` should be a date string. For category
+                    data, `start` is based on the category serial
+                    numbers, and defaults to -0.5. If multiple non-
+                    overlaying histograms share a subplot, the
+                    first explicit `start` is used exactly and all
+                    others are shifted down (if necessary) to
+                    differ from that one by an integer number of
+                    bins.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.XBins
+        """
+        return self["xbins"]
+
+    @xbins.setter
+    def xbins(self, val):
+        self["xbins"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the sample data to be binned on the y axis.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ybins
+    # -----
+    @property
+    def ybins(self):
+        """
+        The 'ybins' property is an instance of YBins
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.YBins`
+          - A dict of string/value properties that will be passed
+            to the YBins constructor
+    
+            Supported dict properties:
+                
+                end
+                    Sets the end value for the y axis bins. The
+                    last bin may not end exactly at this value, we
+                    increment the bin edge by `size` from `start`
+                    until we reach or exceed `end`. Defaults to the
+                    maximum data value. Like `start`, for dates use
+                    a date string, and for category data `end` is
+                    based on the category serial numbers.
+                size
+                    Sets the size of each y axis bin. Default
+                    behavior: If `nbinsy` is 0 or omitted, we
+                    choose a nice round bin size such that the
+                    number of bins is about the same as the typical
+                    number of samples in each bin. If `nbinsy` is
+                    provided, we choose a nice round bin size
+                    giving no more than that many bins. For date
+                    data, use milliseconds or "M<n>" for months, as
+                    in `axis.dtick`. For category data, the number
+                    of categories to bin together (always defaults
+                    to 1). If multiple non-overlaying histograms
+                    share a subplot, the first explicit `size` is
+                    used and all others discarded. If no `size` is
+                    provided,the sample data from all traces is
+                    combined to determine `size` as described
+                    above.
+                start
+                    Sets the starting value for the y axis bins.
+                    Defaults to the minimum data value, shifted
+                    down if necessary to make nice round values and
+                    to remove ambiguous bin edges. For example, if
+                    most of the data is integers we shift the bin
+                    edges 0.5 down, so a `size` of 5 would have a
+                    default `start` of -0.5, so it is clear that
+                    0-4 are in the first bin, 5-9 in the second,
+                    but continuous data gets a start of 0 and bins
+                    [0,5), [5,10) etc. Dates behave similarly, and
+                    `start` should be a date string. For category
+                    data, `start` is based on the category serial
+                    numbers, and defaults to -0.5. If multiple non-
+                    overlaying histograms share a subplot, the
+                    first explicit `start` is used exactly and all
+                    others are shifted down (if necessary) to
+                    differ from that one by an integer number of
+                    bins.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.YBins
+        """
+        return self["ybins"]
+
+    @ybins.setter
+    def ybins(self, val):
+        self["ybins"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        autobinx
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobinx` is not needed.
+            However, we accept `autobinx: true` or `false` and will
+            update `xbins` accordingly before deleting `autobinx`
+            from the trace.
+        autobiny
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobiny` is not needed.
+            However, we accept `autobiny: true` or `false` and will
+            update `ybins` accordingly before deleting `autobiny`
+            from the trace.
+        bingroup
+            Set a group of histogram traces which will have
+            compatible bin settings. Note that traces on the same
+            subplot and with the same "orientation" under `barmode`
+            "stack", "relative" and "group" are forced into the
+            same bingroup, Using `bingroup`, traces under `barmode`
+            "overlay" and on different axes (of the same axis type)
+            can have compatible bin settings. Note that histogram
+            and histogram2d* trace can share the same `bingroup`
+        cumulative
+            :class:`plotly.graph_objects.histogram.Cumulative`
+            instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        error_x
+            :class:`plotly.graph_objects.histogram.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.histogram.ErrorY` instance
+            or dict with compatible properties
+        histfunc
+            Specifies the binning function used for this histogram
+            trace. If "count", the histogram values are computed by
+            counting the number of values lying inside each bin. If
+            "sum", "avg", "min", "max", the histogram values are
+            computed using the sum, the average, the minimum or the
+            maximum of the values lying inside each bin
+            respectively.
+        histnorm
+            Specifies the type of normalization used for this
+            histogram trace. If "", the span of each bar
+            corresponds to the number of occurrences (i.e. the
+            number of data points lying inside the bins). If
+            "percent" / "probability", the span of each bar
+            corresponds to the percentage / fraction of occurrences
+            with respect to the total number of sample points
+            (here, the sum of all bin HEIGHTS equals 100% / 1). If
+            "density", the span of each bar corresponds to the
+            number of occurrences in a bin divided by the size of
+            the bin interval (here, the sum of all bin AREAS equals
+            the total number of sample points). If *probability
+            density*, the area of each bar corresponds to the
+            probability that an event will fall into the
+            corresponding bin (here, the sum of all bin AREAS
+            equals 1).
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.histogram.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `binNumber` Anything contained
+            in tag `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.histogram.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        nbinsx
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `xbins.size` is provided.
+        nbinsy
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `ybins.size` is provided.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the bars. With "v" ("h"), the
+            value of the each bar spans along the vertical
+            (horizontal).
+        selected
+            :class:`plotly.graph_objects.histogram.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.histogram.Stream` instance
+            or dict with compatible properties
+        text
+            Sets hover text elements associated with each bar. If a
+            single string, the same string appears over all bars.
+            If an array of string, the items are mapped in order to
+            the this trace's coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.histogram.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the sample data to be binned on the x axis.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbins
+            :class:`plotly.graph_objects.histogram.XBins` instance
+            or dict with compatible properties
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the sample data to be binned on the y axis.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybins
+            :class:`plotly.graph_objects.histogram.YBins` instance
+            or dict with compatible properties
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alignmentgroup=None,
+        autobinx=None,
+        autobiny=None,
+        bingroup=None,
+        cumulative=None,
+        customdata=None,
+        customdatasrc=None,
+        error_x=None,
+        error_y=None,
+        histfunc=None,
+        histnorm=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        nbinsx=None,
+        nbinsy=None,
+        offsetgroup=None,
+        opacity=None,
+        orientation=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        x=None,
+        xaxis=None,
+        xbins=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        yaxis=None,
+        ybins=None,
+        ycalendar=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Histogram object
+        
+        The sample data from which statistics are computed is set in
+        `x` for vertically spanning histograms and in `y` for
+        horizontally spanning histograms. Binning options are set
+        `xbins` and `ybins` respectively if no aggregation data is
+        provided.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Histogram`
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        autobinx
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobinx` is not needed.
+            However, we accept `autobinx: true` or `false` and will
+            update `xbins` accordingly before deleting `autobinx`
+            from the trace.
+        autobiny
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobiny` is not needed.
+            However, we accept `autobiny: true` or `false` and will
+            update `ybins` accordingly before deleting `autobiny`
+            from the trace.
+        bingroup
+            Set a group of histogram traces which will have
+            compatible bin settings. Note that traces on the same
+            subplot and with the same "orientation" under `barmode`
+            "stack", "relative" and "group" are forced into the
+            same bingroup, Using `bingroup`, traces under `barmode`
+            "overlay" and on different axes (of the same axis type)
+            can have compatible bin settings. Note that histogram
+            and histogram2d* trace can share the same `bingroup`
+        cumulative
+            :class:`plotly.graph_objects.histogram.Cumulative`
+            instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        error_x
+            :class:`plotly.graph_objects.histogram.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.histogram.ErrorY` instance
+            or dict with compatible properties
+        histfunc
+            Specifies the binning function used for this histogram
+            trace. If "count", the histogram values are computed by
+            counting the number of values lying inside each bin. If
+            "sum", "avg", "min", "max", the histogram values are
+            computed using the sum, the average, the minimum or the
+            maximum of the values lying inside each bin
+            respectively.
+        histnorm
+            Specifies the type of normalization used for this
+            histogram trace. If "", the span of each bar
+            corresponds to the number of occurrences (i.e. the
+            number of data points lying inside the bins). If
+            "percent" / "probability", the span of each bar
+            corresponds to the percentage / fraction of occurrences
+            with respect to the total number of sample points
+            (here, the sum of all bin HEIGHTS equals 100% / 1). If
+            "density", the span of each bar corresponds to the
+            number of occurrences in a bin divided by the size of
+            the bin interval (here, the sum of all bin AREAS equals
+            the total number of sample points). If *probability
+            density*, the area of each bar corresponds to the
+            probability that an event will fall into the
+            corresponding bin (here, the sum of all bin AREAS
+            equals 1).
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.histogram.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `binNumber` Anything contained
+            in tag `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.histogram.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        nbinsx
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `xbins.size` is provided.
+        nbinsy
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `ybins.size` is provided.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the bars. With "v" ("h"), the
+            value of the each bar spans along the vertical
+            (horizontal).
+        selected
+            :class:`plotly.graph_objects.histogram.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.histogram.Stream` instance
+            or dict with compatible properties
+        text
+            Sets hover text elements associated with each bar. If a
+            single string, the same string appears over all bars.
+            If an array of string, the items are mapped in order to
+            the this trace's coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.histogram.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the sample data to be binned on the x axis.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbins
+            :class:`plotly.graph_objects.histogram.XBins` instance
+            or dict with compatible properties
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the sample data to be binned on the y axis.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybins
+            :class:`plotly.graph_objects.histogram.YBins` instance
+            or dict with compatible properties
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Histogram
+        """
+        super(Histogram, self).__init__("histogram")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Histogram 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Histogram`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alignmentgroup", None)
+        _v = alignmentgroup if alignmentgroup is not None else _v
+        if _v is not None:
+            self["alignmentgroup"] = _v
+        _v = arg.pop("autobinx", None)
+        _v = autobinx if autobinx is not None else _v
+        if _v is not None:
+            self["autobinx"] = _v
+        _v = arg.pop("autobiny", None)
+        _v = autobiny if autobiny is not None else _v
+        if _v is not None:
+            self["autobiny"] = _v
+        _v = arg.pop("bingroup", None)
+        _v = bingroup if bingroup is not None else _v
+        if _v is not None:
+            self["bingroup"] = _v
+        _v = arg.pop("cumulative", None)
+        _v = cumulative if cumulative is not None else _v
+        if _v is not None:
+            self["cumulative"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("error_x", None)
+        _v = error_x if error_x is not None else _v
+        if _v is not None:
+            self["error_x"] = _v
+        _v = arg.pop("error_y", None)
+        _v = error_y if error_y is not None else _v
+        if _v is not None:
+            self["error_y"] = _v
+        _v = arg.pop("histfunc", None)
+        _v = histfunc if histfunc is not None else _v
+        if _v is not None:
+            self["histfunc"] = _v
+        _v = arg.pop("histnorm", None)
+        _v = histnorm if histnorm is not None else _v
+        if _v is not None:
+            self["histnorm"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("nbinsx", None)
+        _v = nbinsx if nbinsx is not None else _v
+        if _v is not None:
+            self["nbinsx"] = _v
+        _v = arg.pop("nbinsy", None)
+        _v = nbinsy if nbinsy is not None else _v
+        if _v is not None:
+            self["nbinsy"] = _v
+        _v = arg.pop("offsetgroup", None)
+        _v = offsetgroup if offsetgroup is not None else _v
+        if _v is not None:
+            self["offsetgroup"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xbins", None)
+        _v = xbins if xbins is not None else _v
+        if _v is not None:
+            self["xbins"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ybins", None)
+        _v = ybins if ybins is not None else _v
+        if _v is not None:
+            self["ybins"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "histogram"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_histogram2d.py b/packages/python/plotly/plotly/graph_objs/_histogram2d.py
new file mode 100644
index 00000000000..54e9259dd30
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_histogram2d.py
@@ -0,0 +1,2632 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Histogram2d(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "histogram2d"
+    _valid_props = {
+        "autobinx",
+        "autobiny",
+        "autocolorscale",
+        "bingroup",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "histfunc",
+        "histnorm",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "nbinsx",
+        "nbinsy",
+        "opacity",
+        "reversescale",
+        "showlegend",
+        "showscale",
+        "stream",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xaxis",
+        "xbingroup",
+        "xbins",
+        "xcalendar",
+        "xgap",
+        "xsrc",
+        "y",
+        "yaxis",
+        "ybingroup",
+        "ybins",
+        "ycalendar",
+        "ygap",
+        "ysrc",
+        "z",
+        "zauto",
+        "zhoverformat",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsmooth",
+        "zsrc",
+    }
+
+    # autobinx
+    # --------
+    @property
+    def autobinx(self):
+        """
+        Obsolete: since v1.42 each bin attribute is auto-determined
+        separately and `autobinx` is not needed. However, we accept
+        `autobinx: true` or `false` and will update `xbins` accordingly
+        before deleting `autobinx` from the trace.
+    
+        The 'autobinx' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autobinx"]
+
+    @autobinx.setter
+    def autobinx(self, val):
+        self["autobinx"] = val
+
+    # autobiny
+    # --------
+    @property
+    def autobiny(self):
+        """
+        Obsolete: since v1.42 each bin attribute is auto-determined
+        separately and `autobiny` is not needed. However, we accept
+        `autobiny: true` or `false` and will update `ybins` accordingly
+        before deleting `autobiny` from the trace.
+    
+        The 'autobiny' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autobiny"]
+
+    @autobiny.setter
+    def autobiny(self, val):
+        self["autobiny"] = val
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # bingroup
+    # --------
+    @property
+    def bingroup(self):
+        """
+        Set the `xbingroup` and `ybingroup` default prefix For example,
+        setting a `bingroup` of 1 on two histogram2d traces will make
+        them their x-bins and y-bins match separately.
+    
+        The 'bingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["bingroup"]
+
+    @bingroup.setter
+    def bingroup(self, val):
+        self["bingroup"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.histogr
+                    am2d.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.histogram2d.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of
+                    histogram2d.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.histogram2d.colorb
+                    ar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    histogram2d.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    histogram2d.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # histfunc
+    # --------
+    @property
+    def histfunc(self):
+        """
+        Specifies the binning function used for this histogram trace.
+        If "count", the histogram values are computed by counting the
+        number of values lying inside each bin. If "sum", "avg", "min",
+        "max", the histogram values are computed using the sum, the
+        average, the minimum or the maximum of the values lying inside
+        each bin respectively.
+    
+        The 'histfunc' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['count', 'sum', 'avg', 'min', 'max']
+
+        Returns
+        -------
+        Any
+        """
+        return self["histfunc"]
+
+    @histfunc.setter
+    def histfunc(self, val):
+        self["histfunc"] = val
+
+    # histnorm
+    # --------
+    @property
+    def histnorm(self):
+        """
+        Specifies the type of normalization used for this histogram
+        trace. If "", the span of each bar corresponds to the number of
+        occurrences (i.e. the number of data points lying inside the
+        bins). If "percent" / "probability", the span of each bar
+        corresponds to the percentage / fraction of occurrences with
+        respect to the total number of sample points (here, the sum of
+        all bin HEIGHTS equals 100% / 1). If "density", the span of
+        each bar corresponds to the number of occurrences in a bin
+        divided by the size of the bin interval (here, the sum of all
+        bin AREAS equals the total number of sample points). If
+        *probability density*, the area of each bar corresponds to the
+        probability that an event will fall into the corresponding bin
+        (here, the sum of all bin AREAS equals 1).
+    
+        The 'histnorm' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['', 'percent', 'probability', 'density', 'probability
+                density']
+
+        Returns
+        -------
+        Any
+        """
+        return self["histnorm"]
+
+    @histnorm.setter
+    def histnorm(self, val):
+        self["histnorm"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variable `z` Anything contained in tag `<extra>` is displayed
+        in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the aggregation data.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # nbinsx
+    # ------
+    @property
+    def nbinsx(self):
+        """
+        Specifies the maximum number of desired bins. This value will
+        be used in an algorithm that will decide the optimal bin size
+        such that the histogram best visualizes the distribution of the
+        data. Ignored if `xbins.size` is provided.
+    
+        The 'nbinsx' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nbinsx"]
+
+    @nbinsx.setter
+    def nbinsx(self, val):
+        self["nbinsx"] = val
+
+    # nbinsy
+    # ------
+    @property
+    def nbinsy(self):
+        """
+        Specifies the maximum number of desired bins. This value will
+        be used in an algorithm that will decide the optimal bin size
+        such that the histogram best visualizes the distribution of the
+        data. Ignored if `ybins.size` is provided.
+    
+        The 'nbinsy' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nbinsy"]
+
+    @nbinsy.setter
+    def nbinsy(self, val):
+        self["nbinsy"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the sample data to be binned on the x axis.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xbingroup
+    # ---------
+    @property
+    def xbingroup(self):
+        """
+        Set a group of histogram traces which will have compatible
+        x-bin settings. Using `xbingroup`, histogram2d and
+        histogram2dcontour traces  (on axes of the same axis type) can
+        have compatible x-bin settings. Note that the same `xbingroup`
+        value can be used to set (1D) histogram `bingroup`
+    
+        The 'xbingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["xbingroup"]
+
+    @xbingroup.setter
+    def xbingroup(self, val):
+        self["xbingroup"] = val
+
+    # xbins
+    # -----
+    @property
+    def xbins(self):
+        """
+        The 'xbins' property is an instance of XBins
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.XBins`
+          - A dict of string/value properties that will be passed
+            to the XBins constructor
+    
+            Supported dict properties:
+                
+                end
+                    Sets the end value for the x axis bins. The
+                    last bin may not end exactly at this value, we
+                    increment the bin edge by `size` from `start`
+                    until we reach or exceed `end`. Defaults to the
+                    maximum data value. Like `start`, for dates use
+                    a date string, and for category data `end` is
+                    based on the category serial numbers.
+                size
+                    Sets the size of each x axis bin. Default
+                    behavior: If `nbinsx` is 0 or omitted, we
+                    choose a nice round bin size such that the
+                    number of bins is about the same as the typical
+                    number of samples in each bin. If `nbinsx` is
+                    provided, we choose a nice round bin size
+                    giving no more than that many bins. For date
+                    data, use milliseconds or "M<n>" for months, as
+                    in `axis.dtick`. For category data, the number
+                    of categories to bin together (always defaults
+                    to 1).
+                start
+                    Sets the starting value for the x axis bins.
+                    Defaults to the minimum data value, shifted
+                    down if necessary to make nice round values and
+                    to remove ambiguous bin edges. For example, if
+                    most of the data is integers we shift the bin
+                    edges 0.5 down, so a `size` of 5 would have a
+                    default `start` of -0.5, so it is clear that
+                    0-4 are in the first bin, 5-9 in the second,
+                    but continuous data gets a start of 0 and bins
+                    [0,5), [5,10) etc. Dates behave similarly, and
+                    `start` should be a date string. For category
+                    data, `start` is based on the category serial
+                    numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.XBins
+        """
+        return self["xbins"]
+
+    @xbins.setter
+    def xbins(self, val):
+        self["xbins"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xgap
+    # ----
+    @property
+    def xgap(self):
+        """
+        Sets the horizontal gap (in pixels) between bricks.
+    
+        The 'xgap' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xgap"]
+
+    @xgap.setter
+    def xgap(self, val):
+        self["xgap"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the sample data to be binned on the y axis.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ybingroup
+    # ---------
+    @property
+    def ybingroup(self):
+        """
+        Set a group of histogram traces which will have compatible
+        y-bin settings. Using `ybingroup`, histogram2d and
+        histogram2dcontour traces  (on axes of the same axis type) can
+        have compatible y-bin settings. Note that the same `ybingroup`
+        value can be used to set (1D) histogram `bingroup`
+    
+        The 'ybingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ybingroup"]
+
+    @ybingroup.setter
+    def ybingroup(self, val):
+        self["ybingroup"] = val
+
+    # ybins
+    # -----
+    @property
+    def ybins(self):
+        """
+        The 'ybins' property is an instance of YBins
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.YBins`
+          - A dict of string/value properties that will be passed
+            to the YBins constructor
+    
+            Supported dict properties:
+                
+                end
+                    Sets the end value for the y axis bins. The
+                    last bin may not end exactly at this value, we
+                    increment the bin edge by `size` from `start`
+                    until we reach or exceed `end`. Defaults to the
+                    maximum data value. Like `start`, for dates use
+                    a date string, and for category data `end` is
+                    based on the category serial numbers.
+                size
+                    Sets the size of each y axis bin. Default
+                    behavior: If `nbinsy` is 0 or omitted, we
+                    choose a nice round bin size such that the
+                    number of bins is about the same as the typical
+                    number of samples in each bin. If `nbinsy` is
+                    provided, we choose a nice round bin size
+                    giving no more than that many bins. For date
+                    data, use milliseconds or "M<n>" for months, as
+                    in `axis.dtick`. For category data, the number
+                    of categories to bin together (always defaults
+                    to 1).
+                start
+                    Sets the starting value for the y axis bins.
+                    Defaults to the minimum data value, shifted
+                    down if necessary to make nice round values and
+                    to remove ambiguous bin edges. For example, if
+                    most of the data is integers we shift the bin
+                    edges 0.5 down, so a `size` of 5 would have a
+                    default `start` of -0.5, so it is clear that
+                    0-4 are in the first bin, 5-9 in the second,
+                    but continuous data gets a start of 0 and bins
+                    [0,5), [5,10) etc. Dates behave similarly, and
+                    `start` should be a date string. For category
+                    data, `start` is based on the category serial
+                    numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.YBins
+        """
+        return self["ybins"]
+
+    @ybins.setter
+    def ybins(self, val):
+        self["ybins"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ygap
+    # ----
+    @property
+    def ygap(self):
+        """
+        Sets the vertical gap (in pixels) between bricks.
+    
+        The 'ygap' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ygap"]
+
+    @ygap.setter
+    def ygap(self, val):
+        self["ygap"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the aggregation data.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zhoverformat
+    # ------------
+    @property
+    def zhoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. See:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'zhoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["zhoverformat"]
+
+    @zhoverformat.setter
+    def zhoverformat(self, val):
+        self["zhoverformat"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsmooth
+    # -------
+    @property
+    def zsmooth(self):
+        """
+        Picks a smoothing algorithm use to smooth `z` data.
+    
+        The 'zsmooth' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fast', 'best', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["zsmooth"]
+
+    @zsmooth.setter
+    def zsmooth(self, val):
+        self["zsmooth"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autobinx
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobinx` is not needed.
+            However, we accept `autobinx: true` or `false` and will
+            update `xbins` accordingly before deleting `autobinx`
+            from the trace.
+        autobiny
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobiny` is not needed.
+            However, we accept `autobiny: true` or `false` and will
+            update `ybins` accordingly before deleting `autobiny`
+            from the trace.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        bingroup
+            Set the `xbingroup` and `ybingroup` default prefix For
+            example, setting a `bingroup` of 1 on two histogram2d
+            traces will make them their x-bins and y-bins match
+            separately.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.histogram2d.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        histfunc
+            Specifies the binning function used for this histogram
+            trace. If "count", the histogram values are computed by
+            counting the number of values lying inside each bin. If
+            "sum", "avg", "min", "max", the histogram values are
+            computed using the sum, the average, the minimum or the
+            maximum of the values lying inside each bin
+            respectively.
+        histnorm
+            Specifies the type of normalization used for this
+            histogram trace. If "", the span of each bar
+            corresponds to the number of occurrences (i.e. the
+            number of data points lying inside the bins). If
+            "percent" / "probability", the span of each bar
+            corresponds to the percentage / fraction of occurrences
+            with respect to the total number of sample points
+            (here, the sum of all bin HEIGHTS equals 100% / 1). If
+            "density", the span of each bar corresponds to the
+            number of occurrences in a bin divided by the size of
+            the bin interval (here, the sum of all bin AREAS equals
+            the total number of sample points). If *probability
+            density*, the area of each bar corresponds to the
+            probability that an event will fall into the
+            corresponding bin (here, the sum of all bin AREAS
+            equals 1).
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.histogram2d.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `z` Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.histogram2d.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        nbinsx
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `xbins.size` is provided.
+        nbinsy
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `ybins.size` is provided.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.histogram2d.Stream`
+            instance or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the sample data to be binned on the x axis.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbingroup
+            Set a group of histogram traces which will have
+            compatible x-bin settings. Using `xbingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible x-bin settings.
+            Note that the same `xbingroup` value can be used to set
+            (1D) histogram `bingroup`
+        xbins
+            :class:`plotly.graph_objects.histogram2d.XBins`
+            instance or dict with compatible properties
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xgap
+            Sets the horizontal gap (in pixels) between bricks.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the sample data to be binned on the y axis.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybingroup
+            Set a group of histogram traces which will have
+            compatible y-bin settings. Using `ybingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible y-bin settings.
+            Note that the same `ybingroup` value can be used to set
+            (1D) histogram `bingroup`
+        ybins
+            :class:`plotly.graph_objects.histogram2d.YBins`
+            instance or dict with compatible properties
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ygap
+            Sets the vertical gap (in pixels) between bricks.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the aggregation data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsmooth
+            Picks a smoothing algorithm use to smooth `z` data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autobinx=None,
+        autobiny=None,
+        autocolorscale=None,
+        bingroup=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        histfunc=None,
+        histnorm=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        nbinsx=None,
+        nbinsy=None,
+        opacity=None,
+        reversescale=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xaxis=None,
+        xbingroup=None,
+        xbins=None,
+        xcalendar=None,
+        xgap=None,
+        xsrc=None,
+        y=None,
+        yaxis=None,
+        ybingroup=None,
+        ybins=None,
+        ycalendar=None,
+        ygap=None,
+        ysrc=None,
+        z=None,
+        zauto=None,
+        zhoverformat=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsmooth=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Histogram2d object
+        
+        The sample data from which statistics are computed is set in
+        `x` and `y` (where `x` and `y` represent marginal
+        distributions, binning is set in `xbins` and `ybins` in this
+        case) or `z` (where `z` represent the 2D distribution and
+        binning set, binning is set by `x` and `y` in this case). The
+        resulting distribution is visualized as a heatmap.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Histogram2d`
+        autobinx
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobinx` is not needed.
+            However, we accept `autobinx: true` or `false` and will
+            update `xbins` accordingly before deleting `autobinx`
+            from the trace.
+        autobiny
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobiny` is not needed.
+            However, we accept `autobiny: true` or `false` and will
+            update `ybins` accordingly before deleting `autobiny`
+            from the trace.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        bingroup
+            Set the `xbingroup` and `ybingroup` default prefix For
+            example, setting a `bingroup` of 1 on two histogram2d
+            traces will make them their x-bins and y-bins match
+            separately.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.histogram2d.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        histfunc
+            Specifies the binning function used for this histogram
+            trace. If "count", the histogram values are computed by
+            counting the number of values lying inside each bin. If
+            "sum", "avg", "min", "max", the histogram values are
+            computed using the sum, the average, the minimum or the
+            maximum of the values lying inside each bin
+            respectively.
+        histnorm
+            Specifies the type of normalization used for this
+            histogram trace. If "", the span of each bar
+            corresponds to the number of occurrences (i.e. the
+            number of data points lying inside the bins). If
+            "percent" / "probability", the span of each bar
+            corresponds to the percentage / fraction of occurrences
+            with respect to the total number of sample points
+            (here, the sum of all bin HEIGHTS equals 100% / 1). If
+            "density", the span of each bar corresponds to the
+            number of occurrences in a bin divided by the size of
+            the bin interval (here, the sum of all bin AREAS equals
+            the total number of sample points). If *probability
+            density*, the area of each bar corresponds to the
+            probability that an event will fall into the
+            corresponding bin (here, the sum of all bin AREAS
+            equals 1).
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.histogram2d.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `z` Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.histogram2d.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        nbinsx
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `xbins.size` is provided.
+        nbinsy
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `ybins.size` is provided.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.histogram2d.Stream`
+            instance or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the sample data to be binned on the x axis.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbingroup
+            Set a group of histogram traces which will have
+            compatible x-bin settings. Using `xbingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible x-bin settings.
+            Note that the same `xbingroup` value can be used to set
+            (1D) histogram `bingroup`
+        xbins
+            :class:`plotly.graph_objects.histogram2d.XBins`
+            instance or dict with compatible properties
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xgap
+            Sets the horizontal gap (in pixels) between bricks.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the sample data to be binned on the y axis.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybingroup
+            Set a group of histogram traces which will have
+            compatible y-bin settings. Using `ybingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible y-bin settings.
+            Note that the same `ybingroup` value can be used to set
+            (1D) histogram `bingroup`
+        ybins
+            :class:`plotly.graph_objects.histogram2d.YBins`
+            instance or dict with compatible properties
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ygap
+            Sets the vertical gap (in pixels) between bricks.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the aggregation data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsmooth
+            Picks a smoothing algorithm use to smooth `z` data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Histogram2d
+        """
+        super(Histogram2d, self).__init__("histogram2d")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Histogram2d 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Histogram2d`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autobinx", None)
+        _v = autobinx if autobinx is not None else _v
+        if _v is not None:
+            self["autobinx"] = _v
+        _v = arg.pop("autobiny", None)
+        _v = autobiny if autobiny is not None else _v
+        if _v is not None:
+            self["autobiny"] = _v
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("bingroup", None)
+        _v = bingroup if bingroup is not None else _v
+        if _v is not None:
+            self["bingroup"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("histfunc", None)
+        _v = histfunc if histfunc is not None else _v
+        if _v is not None:
+            self["histfunc"] = _v
+        _v = arg.pop("histnorm", None)
+        _v = histnorm if histnorm is not None else _v
+        if _v is not None:
+            self["histnorm"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("nbinsx", None)
+        _v = nbinsx if nbinsx is not None else _v
+        if _v is not None:
+            self["nbinsx"] = _v
+        _v = arg.pop("nbinsy", None)
+        _v = nbinsy if nbinsy is not None else _v
+        if _v is not None:
+            self["nbinsy"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xbingroup", None)
+        _v = xbingroup if xbingroup is not None else _v
+        if _v is not None:
+            self["xbingroup"] = _v
+        _v = arg.pop("xbins", None)
+        _v = xbins if xbins is not None else _v
+        if _v is not None:
+            self["xbins"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xgap", None)
+        _v = xgap if xgap is not None else _v
+        if _v is not None:
+            self["xgap"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ybingroup", None)
+        _v = ybingroup if ybingroup is not None else _v
+        if _v is not None:
+            self["ybingroup"] = _v
+        _v = arg.pop("ybins", None)
+        _v = ybins if ybins is not None else _v
+        if _v is not None:
+            self["ybins"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ygap", None)
+        _v = ygap if ygap is not None else _v
+        if _v is not None:
+            self["ygap"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zhoverformat", None)
+        _v = zhoverformat if zhoverformat is not None else _v
+        if _v is not None:
+            self["zhoverformat"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsmooth", None)
+        _v = zsmooth if zsmooth is not None else _v
+        if _v is not None:
+            self["zsmooth"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "histogram2d"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_histogram2dcontour.py b/packages/python/plotly/plotly/graph_objs/_histogram2dcontour.py
new file mode 100644
index 00000000000..90075f3d977
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_histogram2dcontour.py
@@ -0,0 +1,2772 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Histogram2dContour(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "histogram2dcontour"
+    _valid_props = {
+        "autobinx",
+        "autobiny",
+        "autocolorscale",
+        "autocontour",
+        "bingroup",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "contours",
+        "customdata",
+        "customdatasrc",
+        "histfunc",
+        "histnorm",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "nbinsx",
+        "nbinsy",
+        "ncontours",
+        "opacity",
+        "reversescale",
+        "showlegend",
+        "showscale",
+        "stream",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xaxis",
+        "xbingroup",
+        "xbins",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "yaxis",
+        "ybingroup",
+        "ybins",
+        "ycalendar",
+        "ysrc",
+        "z",
+        "zauto",
+        "zhoverformat",
+        "zmax",
+        "zmid",
+        "zmin",
+        "zsrc",
+    }
+
+    # autobinx
+    # --------
+    @property
+    def autobinx(self):
+        """
+        Obsolete: since v1.42 each bin attribute is auto-determined
+        separately and `autobinx` is not needed. However, we accept
+        `autobinx: true` or `false` and will update `xbins` accordingly
+        before deleting `autobinx` from the trace.
+    
+        The 'autobinx' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autobinx"]
+
+    @autobinx.setter
+    def autobinx(self, val):
+        self["autobinx"] = val
+
+    # autobiny
+    # --------
+    @property
+    def autobiny(self):
+        """
+        Obsolete: since v1.42 each bin attribute is auto-determined
+        separately and `autobiny` is not needed. However, we accept
+        `autobiny: true` or `false` and will update `ybins` accordingly
+        before deleting `autobiny` from the trace.
+    
+        The 'autobiny' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autobiny"]
+
+    @autobiny.setter
+    def autobiny(self, val):
+        self["autobiny"] = val
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # autocontour
+    # -----------
+    @property
+    def autocontour(self):
+        """
+        Determines whether or not the contour level attributes are
+        picked by an algorithm. If True, the number of contour levels
+        can be set in `ncontours`. If False, set the contour level
+        attributes in `contours`.
+    
+        The 'autocontour' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocontour"]
+
+    @autocontour.setter
+    def autocontour(self, val):
+        self["autocontour"] = val
+
+    # bingroup
+    # --------
+    @property
+    def bingroup(self):
+        """
+        Set the `xbingroup` and `ybingroup` default prefix For example,
+        setting a `bingroup` of 1 on two histogram2d traces will make
+        them their x-bins and y-bins match separately.
+    
+        The 'bingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["bingroup"]
+
+    @bingroup.setter
+    def bingroup(self, val):
+        self["bingroup"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.histogr
+                    am2dcontour.colorbar.Tickformatstop` instances
+                    or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.histogram2dcontour.colorbar.tickformatstopdef
+                    aults), sets the default property values to use
+                    for elements of
+                    histogram2dcontour.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.histogram2dcontour
+                    .colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    histogram2dcontour.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    histogram2dcontour.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`zmin` and `zmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # contours
+    # --------
+    @property
+    def contours(self):
+        """
+        The 'contours' property is an instance of Contours
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Contours`
+          - A dict of string/value properties that will be passed
+            to the Contours constructor
+    
+            Supported dict properties:
+                
+                coloring
+                    Determines the coloring method showing the
+                    contour values. If "fill", coloring is done
+                    evenly between each contour level If "heatmap",
+                    a heatmap gradient coloring is applied between
+                    each contour level. If "lines", coloring is
+                    done on the contour lines. If "none", no
+                    coloring is applied on this trace.
+                end
+                    Sets the end contour level value. Must be more
+                    than `contours.start`
+                labelfont
+                    Sets the font used for labeling the contour
+                    levels. The default color comes from the lines,
+                    if shown. The default family and size come from
+                    `layout.font`.
+                labelformat
+                    Sets the contour label formatting rule using d3
+                    formatting mini-language which is very similar
+                    to Python, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                operation
+                    Sets the constraint operation. "=" keeps
+                    regions equal to `value` "<" and "<=" keep
+                    regions less than `value` ">" and ">=" keep
+                    regions greater than `value` "[]", "()", "[)",
+                    and "(]" keep regions inside `value[0]` to
+                    `value[1]` "][", ")(", "](", ")[" keep regions
+                    outside `value[0]` to value[1]` Open vs. closed
+                    intervals make no difference to constraint
+                    display, but all versions are allowed for
+                    consistency with filter transforms.
+                showlabels
+                    Determines whether to label the contour lines
+                    with their values.
+                showlines
+                    Determines whether or not the contour lines are
+                    drawn. Has an effect only if
+                    `contours.coloring` is set to "fill".
+                size
+                    Sets the step between each contour level. Must
+                    be positive.
+                start
+                    Sets the starting contour level value. Must be
+                    less than `contours.end`
+                type
+                    If `levels`, the data is represented as a
+                    contour plot with multiple levels displayed. If
+                    `constraint`, the data is represented as
+                    constraints with the invalid region shaded as
+                    specified by the `operation` and `value`
+                    parameters.
+                value
+                    Sets the value or values of the constraint
+                    boundary. When `operation` is set to one of the
+                    comparison values (=,<,>=,>,<=) "value" is
+                    expected to be a number. When `operation` is
+                    set to one of the interval values
+                    ([],(),[),(],][,)(,](,)[) "value" is expected
+                    to be an array of two numbers where the first
+                    is the lower bound and the second is the upper
+                    bound.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.Contours
+        """
+        return self["contours"]
+
+    @contours.setter
+    def contours(self, val):
+        self["contours"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # histfunc
+    # --------
+    @property
+    def histfunc(self):
+        """
+        Specifies the binning function used for this histogram trace.
+        If "count", the histogram values are computed by counting the
+        number of values lying inside each bin. If "sum", "avg", "min",
+        "max", the histogram values are computed using the sum, the
+        average, the minimum or the maximum of the values lying inside
+        each bin respectively.
+    
+        The 'histfunc' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['count', 'sum', 'avg', 'min', 'max']
+
+        Returns
+        -------
+        Any
+        """
+        return self["histfunc"]
+
+    @histfunc.setter
+    def histfunc(self, val):
+        self["histfunc"] = val
+
+    # histnorm
+    # --------
+    @property
+    def histnorm(self):
+        """
+        Specifies the type of normalization used for this histogram
+        trace. If "", the span of each bar corresponds to the number of
+        occurrences (i.e. the number of data points lying inside the
+        bins). If "percent" / "probability", the span of each bar
+        corresponds to the percentage / fraction of occurrences with
+        respect to the total number of sample points (here, the sum of
+        all bin HEIGHTS equals 100% / 1). If "density", the span of
+        each bar corresponds to the number of occurrences in a bin
+        divided by the size of the bin interval (here, the sum of all
+        bin AREAS equals the total number of sample points). If
+        *probability density*, the area of each bar corresponds to the
+        probability that an event will fall into the corresponding bin
+        (here, the sum of all bin AREAS equals 1).
+    
+        The 'histnorm' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['', 'percent', 'probability', 'density', 'probability
+                density']
+
+        Returns
+        -------
+        Any
+        """
+        return self["histnorm"]
+
+    @histnorm.setter
+    def histnorm(self, val):
+        self["histnorm"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variable `z` Anything contained in tag `<extra>` is displayed
+        in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour level. Has no
+                    effect if `contours.coloring` is set to
+                    "lines".
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                smoothing
+                    Sets the amount of smoothing for the contour
+                    lines, where 0 corresponds to no smoothing.
+                width
+                    Sets the contour line width in (in px)
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the aggregation data.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # nbinsx
+    # ------
+    @property
+    def nbinsx(self):
+        """
+        Specifies the maximum number of desired bins. This value will
+        be used in an algorithm that will decide the optimal bin size
+        such that the histogram best visualizes the distribution of the
+        data. Ignored if `xbins.size` is provided.
+    
+        The 'nbinsx' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nbinsx"]
+
+    @nbinsx.setter
+    def nbinsx(self, val):
+        self["nbinsx"] = val
+
+    # nbinsy
+    # ------
+    @property
+    def nbinsy(self):
+        """
+        Specifies the maximum number of desired bins. This value will
+        be used in an algorithm that will decide the optimal bin size
+        such that the histogram best visualizes the distribution of the
+        data. Ignored if `ybins.size` is provided.
+    
+        The 'nbinsy' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nbinsy"]
+
+    @nbinsy.setter
+    def nbinsy(self, val):
+        self["nbinsy"] = val
+
+    # ncontours
+    # ---------
+    @property
+    def ncontours(self):
+        """
+        Sets the maximum number of contour levels. The actual number of
+        contours will be chosen automatically to be less than or equal
+        to the value of `ncontours`. Has an effect only if
+        `autocontour` is True or if `contours.size` is missing.
+    
+        The 'ncontours' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["ncontours"]
+
+    @ncontours.setter
+    def ncontours(self, val):
+        self["ncontours"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `zmin` will
+        correspond to the last color in the array and `zmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the sample data to be binned on the x axis.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xbingroup
+    # ---------
+    @property
+    def xbingroup(self):
+        """
+        Set a group of histogram traces which will have compatible
+        x-bin settings. Using `xbingroup`, histogram2d and
+        histogram2dcontour traces  (on axes of the same axis type) can
+        have compatible x-bin settings. Note that the same `xbingroup`
+        value can be used to set (1D) histogram `bingroup`
+    
+        The 'xbingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["xbingroup"]
+
+    @xbingroup.setter
+    def xbingroup(self, val):
+        self["xbingroup"] = val
+
+    # xbins
+    # -----
+    @property
+    def xbins(self):
+        """
+        The 'xbins' property is an instance of XBins
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.XBins`
+          - A dict of string/value properties that will be passed
+            to the XBins constructor
+    
+            Supported dict properties:
+                
+                end
+                    Sets the end value for the x axis bins. The
+                    last bin may not end exactly at this value, we
+                    increment the bin edge by `size` from `start`
+                    until we reach or exceed `end`. Defaults to the
+                    maximum data value. Like `start`, for dates use
+                    a date string, and for category data `end` is
+                    based on the category serial numbers.
+                size
+                    Sets the size of each x axis bin. Default
+                    behavior: If `nbinsx` is 0 or omitted, we
+                    choose a nice round bin size such that the
+                    number of bins is about the same as the typical
+                    number of samples in each bin. If `nbinsx` is
+                    provided, we choose a nice round bin size
+                    giving no more than that many bins. For date
+                    data, use milliseconds or "M<n>" for months, as
+                    in `axis.dtick`. For category data, the number
+                    of categories to bin together (always defaults
+                    to 1).
+                start
+                    Sets the starting value for the x axis bins.
+                    Defaults to the minimum data value, shifted
+                    down if necessary to make nice round values and
+                    to remove ambiguous bin edges. For example, if
+                    most of the data is integers we shift the bin
+                    edges 0.5 down, so a `size` of 5 would have a
+                    default `start` of -0.5, so it is clear that
+                    0-4 are in the first bin, 5-9 in the second,
+                    but continuous data gets a start of 0 and bins
+                    [0,5), [5,10) etc. Dates behave similarly, and
+                    `start` should be a date string. For category
+                    data, `start` is based on the category serial
+                    numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.XBins
+        """
+        return self["xbins"]
+
+    @xbins.setter
+    def xbins(self, val):
+        self["xbins"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the sample data to be binned on the y axis.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ybingroup
+    # ---------
+    @property
+    def ybingroup(self):
+        """
+        Set a group of histogram traces which will have compatible
+        y-bin settings. Using `ybingroup`, histogram2d and
+        histogram2dcontour traces  (on axes of the same axis type) can
+        have compatible y-bin settings. Note that the same `ybingroup`
+        value can be used to set (1D) histogram `bingroup`
+    
+        The 'ybingroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ybingroup"]
+
+    @ybingroup.setter
+    def ybingroup(self, val):
+        self["ybingroup"] = val
+
+    # ybins
+    # -----
+    @property
+    def ybins(self):
+        """
+        The 'ybins' property is an instance of YBins
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.YBins`
+          - A dict of string/value properties that will be passed
+            to the YBins constructor
+    
+            Supported dict properties:
+                
+                end
+                    Sets the end value for the y axis bins. The
+                    last bin may not end exactly at this value, we
+                    increment the bin edge by `size` from `start`
+                    until we reach or exceed `end`. Defaults to the
+                    maximum data value. Like `start`, for dates use
+                    a date string, and for category data `end` is
+                    based on the category serial numbers.
+                size
+                    Sets the size of each y axis bin. Default
+                    behavior: If `nbinsy` is 0 or omitted, we
+                    choose a nice round bin size such that the
+                    number of bins is about the same as the typical
+                    number of samples in each bin. If `nbinsy` is
+                    provided, we choose a nice round bin size
+                    giving no more than that many bins. For date
+                    data, use milliseconds or "M<n>" for months, as
+                    in `axis.dtick`. For category data, the number
+                    of categories to bin together (always defaults
+                    to 1).
+                start
+                    Sets the starting value for the y axis bins.
+                    Defaults to the minimum data value, shifted
+                    down if necessary to make nice round values and
+                    to remove ambiguous bin edges. For example, if
+                    most of the data is integers we shift the bin
+                    edges 0.5 down, so a `size` of 5 would have a
+                    default `start` of -0.5, so it is clear that
+                    0-4 are in the first bin, 5-9 in the second,
+                    but continuous data gets a start of 0 and bins
+                    [0,5), [5,10) etc. Dates behave similarly, and
+                    `start` should be a date string. For category
+                    data, `start` is based on the category serial
+                    numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.YBins
+        """
+        return self["ybins"]
+
+    @ybins.setter
+    def ybins(self, val):
+        self["ybins"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the aggregation data.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zauto
+    # -----
+    @property
+    def zauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `z`) or the bounds set in
+        `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
+        are set by the user.
+    
+        The 'zauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zauto"]
+
+    @zauto.setter
+    def zauto(self, val):
+        self["zauto"] = val
+
+    # zhoverformat
+    # ------------
+    @property
+    def zhoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. See:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'zhoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["zhoverformat"]
+
+    @zhoverformat.setter
+    def zhoverformat(self, val):
+        self["zhoverformat"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmin` must be set as well.
+    
+        The 'zmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmid
+    # ----
+    @property
+    def zmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `zmin` and/or
+        `zmax` to be equidistant to this point. Value should have the
+        same units as in `z`. Has no effect when `zauto` is `false`.
+    
+        The 'zmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmid"]
+
+    @zmid.setter
+    def zmid(self, val):
+        self["zmid"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as in `z` and if set, `zmax` must be set as well.
+    
+        The 'zmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autobinx
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobinx` is not needed.
+            However, we accept `autobinx: true` or `false` and will
+            update `xbins` accordingly before deleting `autobinx`
+            from the trace.
+        autobiny
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobiny` is not needed.
+            However, we accept `autobiny: true` or `false` and will
+            update `ybins` accordingly before deleting `autobiny`
+            from the trace.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        autocontour
+            Determines whether or not the contour level attributes
+            are picked by an algorithm. If True, the number of
+            contour levels can be set in `ncontours`. If False, set
+            the contour level attributes in `contours`.
+        bingroup
+            Set the `xbingroup` and `ybingroup` default prefix For
+            example, setting a `bingroup` of 1 on two histogram2d
+            traces will make them their x-bins and y-bins match
+            separately.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.histogram2dcontour.ColorBa
+            r` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contours
+            :class:`plotly.graph_objects.histogram2dcontour.Contour
+            s` instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        histfunc
+            Specifies the binning function used for this histogram
+            trace. If "count", the histogram values are computed by
+            counting the number of values lying inside each bin. If
+            "sum", "avg", "min", "max", the histogram values are
+            computed using the sum, the average, the minimum or the
+            maximum of the values lying inside each bin
+            respectively.
+        histnorm
+            Specifies the type of normalization used for this
+            histogram trace. If "", the span of each bar
+            corresponds to the number of occurrences (i.e. the
+            number of data points lying inside the bins). If
+            "percent" / "probability", the span of each bar
+            corresponds to the percentage / fraction of occurrences
+            with respect to the total number of sample points
+            (here, the sum of all bin HEIGHTS equals 100% / 1). If
+            "density", the span of each bar corresponds to the
+            number of occurrences in a bin divided by the size of
+            the bin interval (here, the sum of all bin AREAS equals
+            the total number of sample points). If *probability
+            density*, the area of each bar corresponds to the
+            probability that an event will fall into the
+            corresponding bin (here, the sum of all bin AREAS
+            equals 1).
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.histogram2dcontour.Hoverla
+            bel` instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `z` Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.histogram2dcontour.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.histogram2dcontour.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        nbinsx
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `xbins.size` is provided.
+        nbinsy
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `ybins.size` is provided.
+        ncontours
+            Sets the maximum number of contour levels. The actual
+            number of contours will be chosen automatically to be
+            less than or equal to the value of `ncontours`. Has an
+            effect only if `autocontour` is True or if
+            `contours.size` is missing.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.histogram2dcontour.Stream`
+            instance or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the sample data to be binned on the x axis.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbingroup
+            Set a group of histogram traces which will have
+            compatible x-bin settings. Using `xbingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible x-bin settings.
+            Note that the same `xbingroup` value can be used to set
+            (1D) histogram `bingroup`
+        xbins
+            :class:`plotly.graph_objects.histogram2dcontour.XBins`
+            instance or dict with compatible properties
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the sample data to be binned on the y axis.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybingroup
+            Set a group of histogram traces which will have
+            compatible y-bin settings. Using `ybingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible y-bin settings.
+            Note that the same `ybingroup` value can be used to set
+            (1D) histogram `bingroup`
+        ybins
+            :class:`plotly.graph_objects.histogram2dcontour.YBins`
+            instance or dict with compatible properties
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the aggregation data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autobinx=None,
+        autobiny=None,
+        autocolorscale=None,
+        autocontour=None,
+        bingroup=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        contours=None,
+        customdata=None,
+        customdatasrc=None,
+        histfunc=None,
+        histnorm=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        nbinsx=None,
+        nbinsy=None,
+        ncontours=None,
+        opacity=None,
+        reversescale=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xaxis=None,
+        xbingroup=None,
+        xbins=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        yaxis=None,
+        ybingroup=None,
+        ybins=None,
+        ycalendar=None,
+        ysrc=None,
+        z=None,
+        zauto=None,
+        zhoverformat=None,
+        zmax=None,
+        zmid=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Histogram2dContour object
+        
+        The sample data from which statistics are computed is set in
+        `x` and `y` (where `x` and `y` represent marginal
+        distributions, binning is set in `xbins` and `ybins` in this
+        case) or `z` (where `z` represent the 2D distribution and
+        binning set, binning is set by `x` and `y` in this case). The
+        resulting distribution is visualized as a contour plot.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.Histogram2dContour`
+        autobinx
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobinx` is not needed.
+            However, we accept `autobinx: true` or `false` and will
+            update `xbins` accordingly before deleting `autobinx`
+            from the trace.
+        autobiny
+            Obsolete: since v1.42 each bin attribute is auto-
+            determined separately and `autobiny` is not needed.
+            However, we accept `autobiny: true` or `false` and will
+            update `ybins` accordingly before deleting `autobiny`
+            from the trace.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        autocontour
+            Determines whether or not the contour level attributes
+            are picked by an algorithm. If True, the number of
+            contour levels can be set in `ncontours`. If False, set
+            the contour level attributes in `contours`.
+        bingroup
+            Set the `xbingroup` and `ybingroup` default prefix For
+            example, setting a `bingroup` of 1 on two histogram2d
+            traces will make them their x-bins and y-bins match
+            separately.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.histogram2dcontour.ColorBa
+            r` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`zmin` and `zmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contours
+            :class:`plotly.graph_objects.histogram2dcontour.Contour
+            s` instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        histfunc
+            Specifies the binning function used for this histogram
+            trace. If "count", the histogram values are computed by
+            counting the number of values lying inside each bin. If
+            "sum", "avg", "min", "max", the histogram values are
+            computed using the sum, the average, the minimum or the
+            maximum of the values lying inside each bin
+            respectively.
+        histnorm
+            Specifies the type of normalization used for this
+            histogram trace. If "", the span of each bar
+            corresponds to the number of occurrences (i.e. the
+            number of data points lying inside the bins). If
+            "percent" / "probability", the span of each bar
+            corresponds to the percentage / fraction of occurrences
+            with respect to the total number of sample points
+            (here, the sum of all bin HEIGHTS equals 100% / 1). If
+            "density", the span of each bar corresponds to the
+            number of occurrences in a bin divided by the size of
+            the bin interval (here, the sum of all bin AREAS equals
+            the total number of sample points). If *probability
+            density*, the area of each bar corresponds to the
+            probability that an event will fall into the
+            corresponding bin (here, the sum of all bin AREAS
+            equals 1).
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.histogram2dcontour.Hoverla
+            bel` instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variable `z` Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.histogram2dcontour.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.histogram2dcontour.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        nbinsx
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `xbins.size` is provided.
+        nbinsy
+            Specifies the maximum number of desired bins. This
+            value will be used in an algorithm that will decide the
+            optimal bin size such that the histogram best
+            visualizes the distribution of the data. Ignored if
+            `ybins.size` is provided.
+        ncontours
+            Sets the maximum number of contour levels. The actual
+            number of contours will be chosen automatically to be
+            less than or equal to the value of `ncontours`. Has an
+            effect only if `autocontour` is True or if
+            `contours.size` is missing.
+        opacity
+            Sets the opacity of the trace.
+        reversescale
+            Reverses the color mapping if true. If true, `zmin`
+            will correspond to the last color in the array and
+            `zmax` will correspond to the first color.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.histogram2dcontour.Stream`
+            instance or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the sample data to be binned on the x axis.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbingroup
+            Set a group of histogram traces which will have
+            compatible x-bin settings. Using `xbingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible x-bin settings.
+            Note that the same `xbingroup` value can be used to set
+            (1D) histogram `bingroup`
+        xbins
+            :class:`plotly.graph_objects.histogram2dcontour.XBins`
+            instance or dict with compatible properties
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the sample data to be binned on the y axis.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybingroup
+            Set a group of histogram traces which will have
+            compatible y-bin settings. Using `ybingroup`,
+            histogram2d and histogram2dcontour traces  (on axes of
+            the same axis type) can have compatible y-bin settings.
+            Note that the same `ybingroup` value can be used to set
+            (1D) histogram `bingroup`
+        ybins
+            :class:`plotly.graph_objects.histogram2dcontour.YBins`
+            instance or dict with compatible properties
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the aggregation data.
+        zauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `z`) or the
+            bounds set in `zmin` and `zmax`  Defaults to `false`
+            when `zmin` and `zmax` are set by the user.
+        zhoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. See: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        zmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmin` must
+            be set as well.
+        zmid
+            Sets the mid-point of the color domain by scaling
+            `zmin` and/or `zmax` to be equidistant to this point.
+            Value should have the same units as in `z`. Has no
+            effect when `zauto` is `false`.
+        zmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as in `z` and if set, `zmax` must
+            be set as well.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Histogram2dContour
+        """
+        super(Histogram2dContour, self).__init__("histogram2dcontour")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Histogram2dContour 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Histogram2dContour`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autobinx", None)
+        _v = autobinx if autobinx is not None else _v
+        if _v is not None:
+            self["autobinx"] = _v
+        _v = arg.pop("autobiny", None)
+        _v = autobiny if autobiny is not None else _v
+        if _v is not None:
+            self["autobiny"] = _v
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("autocontour", None)
+        _v = autocontour if autocontour is not None else _v
+        if _v is not None:
+            self["autocontour"] = _v
+        _v = arg.pop("bingroup", None)
+        _v = bingroup if bingroup is not None else _v
+        if _v is not None:
+            self["bingroup"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("contours", None)
+        _v = contours if contours is not None else _v
+        if _v is not None:
+            self["contours"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("histfunc", None)
+        _v = histfunc if histfunc is not None else _v
+        if _v is not None:
+            self["histfunc"] = _v
+        _v = arg.pop("histnorm", None)
+        _v = histnorm if histnorm is not None else _v
+        if _v is not None:
+            self["histnorm"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("nbinsx", None)
+        _v = nbinsx if nbinsx is not None else _v
+        if _v is not None:
+            self["nbinsx"] = _v
+        _v = arg.pop("nbinsy", None)
+        _v = nbinsy if nbinsy is not None else _v
+        if _v is not None:
+            self["nbinsy"] = _v
+        _v = arg.pop("ncontours", None)
+        _v = ncontours if ncontours is not None else _v
+        if _v is not None:
+            self["ncontours"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xbingroup", None)
+        _v = xbingroup if xbingroup is not None else _v
+        if _v is not None:
+            self["xbingroup"] = _v
+        _v = arg.pop("xbins", None)
+        _v = xbins if xbins is not None else _v
+        if _v is not None:
+            self["xbins"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ybingroup", None)
+        _v = ybingroup if ybingroup is not None else _v
+        if _v is not None:
+            self["ybingroup"] = _v
+        _v = arg.pop("ybins", None)
+        _v = ybins if ybins is not None else _v
+        if _v is not None:
+            self["ybins"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zauto", None)
+        _v = zauto if zauto is not None else _v
+        if _v is not None:
+            self["zauto"] = _v
+        _v = arg.pop("zhoverformat", None)
+        _v = zhoverformat if zhoverformat is not None else _v
+        if _v is not None:
+            self["zhoverformat"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmid", None)
+        _v = zmid if zmid is not None else _v
+        if _v is not None:
+            self["zmid"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "histogram2dcontour"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_image.py b/packages/python/plotly/plotly/graph_objs/_image.py
new file mode 100644
index 00000000000..8574374c113
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_image.py
@@ -0,0 +1,1392 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Image(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "image"
+    _valid_props = {
+        "colormodel",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x0",
+        "xaxis",
+        "y0",
+        "yaxis",
+        "z",
+        "zmax",
+        "zmin",
+        "zsrc",
+    }
+
+    # colormodel
+    # ----------
+    @property
+    def colormodel(self):
+        """
+        Color model used to map the numerical color components
+        described in `z` into colors.
+    
+        The 'colormodel' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['rgb', 'rgba', 'hsl', 'hsla']
+
+        Returns
+        -------
+        Any
+        """
+        return self["colormodel"]
+
+    @colormodel.setter
+    def colormodel(self, val):
+        self["colormodel"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Set the pixel's horizontal size.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Set the pixel's vertical size
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'color', 'name', 'text'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.image.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.image.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `z`, `color` and `colormodel`. Anything contained in
+        tag `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.image.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.image.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each z value.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Set the image's x position.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Set the image's y position.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        A 2-dimensional array in which each element is an array of 3 or
+        4 numbers representing a color.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zmax
+    # ----
+    @property
+    def zmax(self):
+        """
+        Array defining the higher bound for each color component. Note
+        that the default value will depend on the colormodel. For the
+        `rgb` colormodel, it is [255, 255, 255]. For the `rgba`
+        colormodel, it is [255, 255, 255, 1]. For the `hsl` colormodel,
+        it is [360, 100, 100]. For the `hsla` colormodel, it is [360,
+        100, 100, 1].
+    
+        The 'zmax' property is an info array that may be specified as:
+    
+        * a list or tuple of 4 elements where:
+    (0) The 'zmax[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'zmax[1]' property is a number and may be specified as:
+          - An int or float
+    (2) The 'zmax[2]' property is a number and may be specified as:
+          - An int or float
+    (3) The 'zmax[3]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["zmax"]
+
+    @zmax.setter
+    def zmax(self, val):
+        self["zmax"] = val
+
+    # zmin
+    # ----
+    @property
+    def zmin(self):
+        """
+        Array defining the lower bound for each color component. Note
+        that the default value will depend on the colormodel. For the
+        `rgb` colormodel, it is [0, 0, 0]. For the `rgba` colormodel,
+        it is [0, 0, 0, 0]. For the `hsl` colormodel, it is [0, 0, 0].
+        For the `hsla` colormodel, it is [0, 0, 0, 0].
+    
+        The 'zmin' property is an info array that may be specified as:
+    
+        * a list or tuple of 4 elements where:
+    (0) The 'zmin[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'zmin[1]' property is a number and may be specified as:
+          - An int or float
+    (2) The 'zmin[2]' property is a number and may be specified as:
+          - An int or float
+    (3) The 'zmin[3]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["zmin"]
+
+    @zmin.setter
+    def zmin(self, val):
+        self["zmin"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        colormodel
+            Color model used to map the numerical color components
+            described in `z` into colors.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Set the pixel's horizontal size.
+        dy
+            Set the pixel's vertical size
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.image.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `z`, `color` and `colormodel`.
+            Anything contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        stream
+            :class:`plotly.graph_objects.image.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x0
+            Set the image's x position.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        y0
+            Set the image's y position.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        z
+            A 2-dimensional array in which each element is an array
+            of 3 or 4 numbers representing a color.
+        zmax
+            Array defining the higher bound for each color
+            component. Note that the default value will depend on
+            the colormodel. For the `rgb` colormodel, it is [255,
+            255, 255]. For the `rgba` colormodel, it is [255, 255,
+            255, 1]. For the `hsl` colormodel, it is [360, 100,
+            100]. For the `hsla` colormodel, it is [360, 100, 100,
+            1].
+        zmin
+            Array defining the lower bound for each color
+            component. Note that the default value will depend on
+            the colormodel. For the `rgb` colormodel, it is [0, 0,
+            0]. For the `rgba` colormodel, it is [0, 0, 0, 0]. For
+            the `hsl` colormodel, it is [0, 0, 0]. For the `hsla`
+            colormodel, it is [0, 0, 0, 0].
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        colormodel=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x0=None,
+        xaxis=None,
+        y0=None,
+        yaxis=None,
+        z=None,
+        zmax=None,
+        zmin=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Image object
+        
+        Display an image, i.e. data on a 2D regular raster. By default,
+        when an image is displayed in a subplot, its y axis will be
+        reversed (ie. `autorange: 'reversed'`), constrained to the
+        domain (ie. `constrain: 'domain'`) and it will have the same
+        scale as its x axis (ie. `scaleanchor: 'x,`) in order for
+        pixels to be rendered as squares.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Image`
+        colormodel
+            Color model used to map the numerical color components
+            described in `z` into colors.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Set the pixel's horizontal size.
+        dy
+            Set the pixel's vertical size
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.image.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `z`, `color` and `colormodel`.
+            Anything contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        stream
+            :class:`plotly.graph_objects.image.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with each z value.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x0
+            Set the image's x position.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        y0
+            Set the image's y position.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        z
+            A 2-dimensional array in which each element is an array
+            of 3 or 4 numbers representing a color.
+        zmax
+            Array defining the higher bound for each color
+            component. Note that the default value will depend on
+            the colormodel. For the `rgb` colormodel, it is [255,
+            255, 255]. For the `rgba` colormodel, it is [255, 255,
+            255, 1]. For the `hsl` colormodel, it is [360, 100,
+            100]. For the `hsla` colormodel, it is [360, 100, 100,
+            1].
+        zmin
+            Array defining the lower bound for each color
+            component. Note that the default value will depend on
+            the colormodel. For the `rgb` colormodel, it is [0, 0,
+            0]. For the `rgba` colormodel, it is [0, 0, 0, 0]. For
+            the `hsl` colormodel, it is [0, 0, 0]. For the `hsla`
+            colormodel, it is [0, 0, 0, 0].
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Image
+        """
+        super(Image, self).__init__("image")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Image 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Image`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("colormodel", None)
+        _v = colormodel if colormodel is not None else _v
+        if _v is not None:
+            self["colormodel"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zmax", None)
+        _v = zmax if zmax is not None else _v
+        if _v is not None:
+            self["zmax"] = _v
+        _v = arg.pop("zmin", None)
+        _v = zmin if zmin is not None else _v
+        if _v is not None:
+            self["zmin"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "image"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_indicator.py b/packages/python/plotly/plotly/graph_objs/_indicator.py
new file mode 100644
index 00000000000..5e11dff9b0a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_indicator.py
@@ -0,0 +1,932 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Indicator(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "indicator"
+    _valid_props = {
+        "align",
+        "customdata",
+        "customdatasrc",
+        "delta",
+        "domain",
+        "gauge",
+        "ids",
+        "idssrc",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "number",
+        "stream",
+        "title",
+        "type",
+        "uid",
+        "uirevision",
+        "value",
+        "visible",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the `text` within the box.
+        Note that this attribute has no effect if an angular gauge is
+        displayed: in this case, it is always centered
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # delta
+    # -----
+    @property
+    def delta(self):
+        """
+        The 'delta' property is an instance of Delta
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.Delta`
+          - A dict of string/value properties that will be passed
+            to the Delta constructor
+    
+            Supported dict properties:
+                
+                decreasing
+                    :class:`plotly.graph_objects.indicator.delta.De
+                    creasing` instance or dict with compatible
+                    properties
+                font
+                    Set the font used to display the delta
+                increasing
+                    :class:`plotly.graph_objects.indicator.delta.In
+                    creasing` instance or dict with compatible
+                    properties
+                position
+                    Sets the position of delta with respect to the
+                    number.
+                reference
+                    Sets the reference value to compute the delta.
+                    By default, it is set to the current value.
+                relative
+                    Show relative change
+                valueformat
+                    Sets the value formatting rule using d3
+                    formatting mini-language which is similar to
+                    those of Python. See
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.Delta
+        """
+        return self["delta"]
+
+    @delta.setter
+    def delta(self, val):
+        self["delta"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this indicator
+                    trace .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this indicator trace .
+                x
+                    Sets the horizontal domain of this indicator
+                    trace (in plot fraction).
+                y
+                    Sets the vertical domain of this indicator
+                    trace (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # gauge
+    # -----
+    @property
+    def gauge(self):
+        """
+        The gauge of the Indicator plot.
+    
+        The 'gauge' property is an instance of Gauge
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.Gauge`
+          - A dict of string/value properties that will be passed
+            to the Gauge constructor
+    
+            Supported dict properties:
+                
+                axis
+                    :class:`plotly.graph_objects.indicator.gauge.Ax
+                    is` instance or dict with compatible properties
+                bar
+                    Set the appearance of the gauge's value
+                bgcolor
+                    Sets the gauge background color.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    gauge.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the gauge.
+                shape
+                    Set the shape of the gauge
+                steps
+                    A tuple of :class:`plotly.graph_objects.indicat
+                    or.gauge.Step` instances or dicts with
+                    compatible properties
+                stepdefaults
+                    When used in a template (as layout.template.dat
+                    a.indicator.gauge.stepdefaults), sets the
+                    default property values to use for elements of
+                    indicator.gauge.steps
+                threshold
+                    :class:`plotly.graph_objects.indicator.gauge.Th
+                    reshold` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.Gauge
+        """
+        return self["gauge"]
+
+    @gauge.setter
+    def gauge(self, val):
+        self["gauge"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines how the value is displayed on the graph. `number`
+        displays the value numerically in text. `delta` displays the
+        difference to a reference value in text. Finally, `gauge`
+        displays the value graphically on an axis.
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['number', 'delta', 'gauge'] joined with '+' characters
+            (e.g. 'number+delta')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # number
+    # ------
+    @property
+    def number(self):
+        """
+        The 'number' property is an instance of Number
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.Number`
+          - A dict of string/value properties that will be passed
+            to the Number constructor
+    
+            Supported dict properties:
+                
+                font
+                    Set the font used to display main number
+                prefix
+                    Sets a prefix appearing before the number.
+                suffix
+                    Sets a suffix appearing next to the number.
+                valueformat
+                    Sets the value formatting rule using d3
+                    formatting mini-language which is similar to
+                    those of Python. See
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.Number
+        """
+        return self["number"]
+
+    @number.setter
+    def number(self, val):
+        self["number"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the title. It
+                    defaults to `center` except for bullet charts
+                    for which it defaults to right.
+                font
+                    Set the font used to display the title
+                text
+                    Sets the title of this indicator.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the number to be displayed.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Note that this attribute has no effect if an
+            angular gauge is displayed: in this case, it is always
+            centered
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        delta
+            :class:`plotly.graph_objects.indicator.Delta` instance
+            or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.indicator.Domain` instance
+            or dict with compatible properties
+        gauge
+            The gauge of the Indicator plot.
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines how the value is displayed on the graph.
+            `number` displays the value numerically in text.
+            `delta` displays the difference to a reference value in
+            text. Finally, `gauge` displays the value graphically
+            on an axis.
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        number
+            :class:`plotly.graph_objects.indicator.Number` instance
+            or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.indicator.Stream` instance
+            or dict with compatible properties
+        title
+            :class:`plotly.graph_objects.indicator.Title` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        value
+            Sets the number to be displayed.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        customdata=None,
+        customdatasrc=None,
+        delta=None,
+        domain=None,
+        gauge=None,
+        ids=None,
+        idssrc=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        number=None,
+        stream=None,
+        title=None,
+        uid=None,
+        uirevision=None,
+        value=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Indicator object
+        
+        An indicator is used to visualize a single `value` along with
+        some contextual information such as `steps` or a `threshold`,
+        using a combination of three visual elements: a number, a
+        delta, and/or a gauge. Deltas are taken with respect to a
+        `reference`. Gauges can be either angular or bullet (aka
+        linear) gauges.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Indicator`
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Note that this attribute has no effect if an
+            angular gauge is displayed: in this case, it is always
+            centered
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        delta
+            :class:`plotly.graph_objects.indicator.Delta` instance
+            or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.indicator.Domain` instance
+            or dict with compatible properties
+        gauge
+            The gauge of the Indicator plot.
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines how the value is displayed on the graph.
+            `number` displays the value numerically in text.
+            `delta` displays the difference to a reference value in
+            text. Finally, `gauge` displays the value graphically
+            on an axis.
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        number
+            :class:`plotly.graph_objects.indicator.Number` instance
+            or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.indicator.Stream` instance
+            or dict with compatible properties
+        title
+            :class:`plotly.graph_objects.indicator.Title` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        value
+            Sets the number to be displayed.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Indicator
+        """
+        super(Indicator, self).__init__("indicator")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Indicator 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Indicator`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("delta", None)
+        _v = delta if delta is not None else _v
+        if _v is not None:
+            self["delta"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("gauge", None)
+        _v = gauge if gauge is not None else _v
+        if _v is not None:
+            self["gauge"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("number", None)
+        _v = number if number is not None else _v
+        if _v is not None:
+            self["number"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "indicator"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_isosurface.py b/packages/python/plotly/plotly/graph_objs/_isosurface.py
new file mode 100644
index 00000000000..52be8ee6d74
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_isosurface.py
@@ -0,0 +1,2454 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Isosurface(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "isosurface"
+    _valid_props = {
+        "autocolorscale",
+        "caps",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "contour",
+        "customdata",
+        "customdatasrc",
+        "flatshading",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "isomax",
+        "isomin",
+        "legendgroup",
+        "lighting",
+        "lightposition",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "reversescale",
+        "scene",
+        "showlegend",
+        "showscale",
+        "slices",
+        "spaceframe",
+        "stream",
+        "surface",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "value",
+        "valuesrc",
+        "visible",
+        "x",
+        "xsrc",
+        "y",
+        "ysrc",
+        "z",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # caps
+    # ----
+    @property
+    def caps(self):
+        """
+        The 'caps' property is an instance of Caps
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Caps`
+          - A dict of string/value properties that will be passed
+            to the Caps constructor
+    
+            Supported dict properties:
+                
+                x
+                    :class:`plotly.graph_objects.isosurface.caps.X`
+                    instance or dict with compatible properties
+                y
+                    :class:`plotly.graph_objects.isosurface.caps.Y`
+                    instance or dict with compatible properties
+                z
+                    :class:`plotly.graph_objects.isosurface.caps.Z`
+                    instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Caps
+        """
+        return self["caps"]
+
+    @caps.setter
+    def caps(self, val):
+        self["caps"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here `value`) or the bounds set in
+        `cmin` and `cmax`  Defaults to `false` when `cmin` and `cmax`
+        are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as `value` and if set, `cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as `value`. Has no effect when `cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as `value` and if set, `cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.isosurf
+                    ace.colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.isosurface.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of isosurface.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.isosurface.colorba
+                    r.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    isosurface.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    isosurface.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # contour
+    # -------
+    @property
+    def contour(self):
+        """
+        The 'contour' property is an instance of Contour
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Contour`
+          - A dict of string/value properties that will be passed
+            to the Contour constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour lines.
+                show
+                    Sets whether or not dynamic contours are shown
+                    on hover
+                width
+                    Sets the width of the contour lines.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Contour
+        """
+        return self["contour"]
+
+    @contour.setter
+    def contour(self, val):
+        self["contour"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # flatshading
+    # -----------
+    @property
+    def flatshading(self):
+        """
+        Determines whether or not normal smoothing is applied to the
+        meshes, creating meshes with an angular, low-poly look via flat
+        reflections.
+    
+        The 'flatshading' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["flatshading"]
+
+    @flatshading.setter
+    def flatshading(self, val):
+        self["flatshading"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # isomax
+    # ------
+    @property
+    def isomax(self):
+        """
+        Sets the maximum boundary for iso-surface plot.
+    
+        The 'isomax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["isomax"]
+
+    @isomax.setter
+    def isomax(self, val):
+        self["isomax"] = val
+
+    # isomin
+    # ------
+    @property
+    def isomin(self):
+        """
+        Sets the minimum boundary for iso-surface plot.
+    
+        The 'isomin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["isomin"]
+
+    @isomin.setter
+    def isomin(self, val):
+        self["isomin"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lighting
+    # --------
+    @property
+    def lighting(self):
+        """
+        The 'lighting' property is an instance of Lighting
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Lighting`
+          - A dict of string/value properties that will be passed
+            to the Lighting constructor
+    
+            Supported dict properties:
+                
+                ambient
+                    Ambient light increases overall color
+                    visibility but can wash out the image.
+                diffuse
+                    Represents the extent that incident rays are
+                    reflected in a range of angles.
+                facenormalsepsilon
+                    Epsilon for face normals calculation avoids
+                    math issues arising from degenerate geometry.
+                fresnel
+                    Represents the reflectance as a dependency of
+                    the viewing angle; e.g. paper is reflective
+                    when viewing it from the edge of the paper
+                    (almost 90 degrees), causing shine.
+                roughness
+                    Alters specular reflection; the rougher the
+                    surface, the wider and less contrasty the
+                    shine.
+                specular
+                    Represents the level that incident rays are
+                    reflected in a single direction, causing shine.
+                vertexnormalsepsilon
+                    Epsilon for vertex normals calculation avoids
+                    math issues arising from degenerate geometry.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Lighting
+        """
+        return self["lighting"]
+
+    @lighting.setter
+    def lighting(self, val):
+        self["lighting"] = val
+
+    # lightposition
+    # -------------
+    @property
+    def lightposition(self):
+        """
+        The 'lightposition' property is an instance of Lightposition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Lightposition`
+          - A dict of string/value properties that will be passed
+            to the Lightposition constructor
+    
+            Supported dict properties:
+                
+                x
+                    Numeric vector, representing the X coordinate
+                    for each vertex.
+                y
+                    Numeric vector, representing the Y coordinate
+                    for each vertex.
+                z
+                    Numeric vector, representing the Z coordinate
+                    for each vertex.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Lightposition
+        """
+        return self["lightposition"]
+
+    @lightposition.setter
+    def lightposition(self, val):
+        self["lightposition"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the surface. Please note that in the case
+        of using high `opacity` values for example a value greater than
+        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
+        an overlay of multiple transparent surfaces may not perfectly
+        be sorted in depth by the webgl API. This behavior may be
+        improved in the near future and is subject to change.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # slices
+    # ------
+    @property
+    def slices(self):
+        """
+        The 'slices' property is an instance of Slices
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Slices`
+          - A dict of string/value properties that will be passed
+            to the Slices constructor
+    
+            Supported dict properties:
+                
+                x
+                    :class:`plotly.graph_objects.isosurface.slices.
+                    X` instance or dict with compatible properties
+                y
+                    :class:`plotly.graph_objects.isosurface.slices.
+                    Y` instance or dict with compatible properties
+                z
+                    :class:`plotly.graph_objects.isosurface.slices.
+                    Z` instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Slices
+        """
+        return self["slices"]
+
+    @slices.setter
+    def slices(self, val):
+        self["slices"] = val
+
+    # spaceframe
+    # ----------
+    @property
+    def spaceframe(self):
+        """
+        The 'spaceframe' property is an instance of Spaceframe
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Spaceframe`
+          - A dict of string/value properties that will be passed
+            to the Spaceframe constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `spaceframe`
+                    elements. The default fill value is 0.15
+                    meaning that only 15% of the area of every
+                    faces of tetras would be shaded. Applying a
+                    greater `fill` ratio would allow the creation
+                    of stronger elements or could be sued to have
+                    entirely closed areas (in case of using 1).
+                show
+                    Displays/hides tetrahedron shapes between
+                    minimum and maximum iso-values. Often useful
+                    when either caps or surfaces are disabled or
+                    filled with values less than 1.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Spaceframe
+        """
+        return self["spaceframe"]
+
+    @spaceframe.setter
+    def spaceframe(self, val):
+        self["spaceframe"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # surface
+    # -------
+    @property
+    def surface(self):
+        """
+        The 'surface' property is an instance of Surface
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.Surface`
+          - A dict of string/value properties that will be passed
+            to the Surface constructor
+    
+            Supported dict properties:
+                
+                count
+                    Sets the number of iso-surfaces between minimum
+                    and maximum iso-values. By default this value
+                    is 2 meaning that only minimum and maximum
+                    surfaces would be drawn.
+                fill
+                    Sets the fill ratio of the iso-surface. The
+                    default fill value of the surface is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                pattern
+                    Sets the surface pattern of the iso-surface 3-D
+                    sections. The default pattern of the surface is
+                    `all` meaning that the rest of surface elements
+                    would be shaded. The check options (either 1 or
+                    2) could be used to draw half of the squares on
+                    the surface. Using various combinations of
+                    capital `A`, `B`, `C`, `D` and `E` may also be
+                    used to reduce the number of triangles on the
+                    iso-surfaces and creating other patterns of
+                    interest.
+                show
+                    Hides/displays surfaces between minimum and
+                    maximum iso-values.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.Surface
+        """
+        return self["surface"]
+
+    @surface.setter
+    def surface(self, val):
+        self["surface"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with the vertices. If trace
+        `hoverinfo` contains a "text" flag and "hovertext" is not set,
+        these elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the 4th dimension (value) of the vertices.
+    
+        The 'value' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valuesrc
+    # --------
+    @property
+    def valuesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  value .
+    
+        The 'valuesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuesrc"]
+
+    @valuesrc.setter
+    def valuesrc(self, val):
+        self["valuesrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the X coordinates of the vertices on X axis.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the Y coordinates of the vertices on Y axis.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the Z coordinates of the vertices on Z axis.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        caps
+            :class:`plotly.graph_objects.isosurface.Caps` instance
+            or dict with compatible properties
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here `value`) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as `value` and if set, `cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as `value`. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as `value` and if set, `cmax` must
+            be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.isosurface.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contour
+            :class:`plotly.graph_objects.isosurface.Contour`
+            instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        flatshading
+            Determines whether or not normal smoothing is applied
+            to the meshes, creating meshes with an angular, low-
+            poly look via flat reflections.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.isosurface.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        isomax
+            Sets the maximum boundary for iso-surface plot.
+        isomin
+            Sets the minimum boundary for iso-surface plot.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.isosurface.Lighting`
+            instance or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.isosurface.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        slices
+            :class:`plotly.graph_objects.isosurface.Slices`
+            instance or dict with compatible properties
+        spaceframe
+            :class:`plotly.graph_objects.isosurface.Spaceframe`
+            instance or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.isosurface.Stream`
+            instance or dict with compatible properties
+        surface
+            :class:`plotly.graph_objects.isosurface.Surface`
+            instance or dict with compatible properties
+        text
+            Sets the text elements associated with the vertices. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        value
+            Sets the 4th dimension (value) of the vertices.
+        valuesrc
+            Sets the source reference on Chart Studio Cloud for
+            value .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the X coordinates of the vertices on X axis.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the Y coordinates of the vertices on Y axis.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the Z coordinates of the vertices on Z axis.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        caps=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        contour=None,
+        customdata=None,
+        customdatasrc=None,
+        flatshading=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        isomax=None,
+        isomin=None,
+        legendgroup=None,
+        lighting=None,
+        lightposition=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        reversescale=None,
+        scene=None,
+        showlegend=None,
+        showscale=None,
+        slices=None,
+        spaceframe=None,
+        stream=None,
+        surface=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        value=None,
+        valuesrc=None,
+        visible=None,
+        x=None,
+        xsrc=None,
+        y=None,
+        ysrc=None,
+        z=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Isosurface object
+        
+        Draws isosurfaces between iso-min and iso-max values with
+        coordinates given by four 1-dimensional arrays containing the
+        `value`, `x`, `y` and `z` of every vertex of a uniform or non-
+        uniform 3-D grid. Horizontal or vertical slices, caps as well
+        as spaceframe between iso-min and iso-max values could also be
+        drawn using this trace.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Isosurface`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        caps
+            :class:`plotly.graph_objects.isosurface.Caps` instance
+            or dict with compatible properties
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here `value`) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as `value` and if set, `cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as `value`. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as `value` and if set, `cmax` must
+            be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.isosurface.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contour
+            :class:`plotly.graph_objects.isosurface.Contour`
+            instance or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        flatshading
+            Determines whether or not normal smoothing is applied
+            to the meshes, creating meshes with an angular, low-
+            poly look via flat reflections.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.isosurface.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        isomax
+            Sets the maximum boundary for iso-surface plot.
+        isomin
+            Sets the minimum boundary for iso-surface plot.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.isosurface.Lighting`
+            instance or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.isosurface.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        slices
+            :class:`plotly.graph_objects.isosurface.Slices`
+            instance or dict with compatible properties
+        spaceframe
+            :class:`plotly.graph_objects.isosurface.Spaceframe`
+            instance or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.isosurface.Stream`
+            instance or dict with compatible properties
+        surface
+            :class:`plotly.graph_objects.isosurface.Surface`
+            instance or dict with compatible properties
+        text
+            Sets the text elements associated with the vertices. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        value
+            Sets the 4th dimension (value) of the vertices.
+        valuesrc
+            Sets the source reference on Chart Studio Cloud for
+            value .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the X coordinates of the vertices on X axis.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the Y coordinates of the vertices on Y axis.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the Z coordinates of the vertices on Z axis.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Isosurface
+        """
+        super(Isosurface, self).__init__("isosurface")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Isosurface 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Isosurface`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("caps", None)
+        _v = caps if caps is not None else _v
+        if _v is not None:
+            self["caps"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("contour", None)
+        _v = contour if contour is not None else _v
+        if _v is not None:
+            self["contour"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("flatshading", None)
+        _v = flatshading if flatshading is not None else _v
+        if _v is not None:
+            self["flatshading"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("isomax", None)
+        _v = isomax if isomax is not None else _v
+        if _v is not None:
+            self["isomax"] = _v
+        _v = arg.pop("isomin", None)
+        _v = isomin if isomin is not None else _v
+        if _v is not None:
+            self["isomin"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lighting", None)
+        _v = lighting if lighting is not None else _v
+        if _v is not None:
+            self["lighting"] = _v
+        _v = arg.pop("lightposition", None)
+        _v = lightposition if lightposition is not None else _v
+        if _v is not None:
+            self["lightposition"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("slices", None)
+        _v = slices if slices is not None else _v
+        if _v is not None:
+            self["slices"] = _v
+        _v = arg.pop("spaceframe", None)
+        _v = spaceframe if spaceframe is not None else _v
+        if _v is not None:
+            self["spaceframe"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("surface", None)
+        _v = surface if surface is not None else _v
+        if _v is not None:
+            self["surface"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valuesrc", None)
+        _v = valuesrc if valuesrc is not None else _v
+        if _v is not None:
+            self["valuesrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "isosurface"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_layout.py b/packages/python/plotly/plotly/graph_objs/_layout.py
new file mode 100644
index 00000000000..5f2677f6fc5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_layout.py
@@ -0,0 +1,5964 @@
+from plotly.basedatatypes import BaseLayoutType as _BaseLayoutType
+import copy as _copy
+
+
+class Layout(_BaseLayoutType):
+
+    _subplotid_prop_names = [
+        "coloraxis",
+        "geo",
+        "mapbox",
+        "polar",
+        "scene",
+        "ternary",
+        "xaxis",
+        "yaxis",
+    ]
+
+    import re
+
+    _subplotid_prop_re = re.compile("^(" + "|".join(_subplotid_prop_names) + ")(\d+)$")
+
+    @property
+    def _subplotid_validators(self):
+        """
+        dict of validator classes for each subplot type
+
+        Returns
+        -------
+        dict
+        """
+        from plotly.validators.layout import (
+            ColoraxisValidator,
+            GeoValidator,
+            MapboxValidator,
+            PolarValidator,
+            SceneValidator,
+            TernaryValidator,
+            XaxisValidator,
+            YaxisValidator,
+        )
+
+        return {
+            "coloraxis": ColoraxisValidator,
+            "geo": GeoValidator,
+            "mapbox": MapboxValidator,
+            "polar": PolarValidator,
+            "scene": SceneValidator,
+            "ternary": TernaryValidator,
+            "xaxis": XaxisValidator,
+            "yaxis": YaxisValidator,
+        }
+
+    def _subplot_re_match(self, prop):
+        return self._subplotid_prop_re.match(prop)
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "layout"
+    _valid_props = {
+        "angularaxis",
+        "annotationdefaults",
+        "annotations",
+        "autosize",
+        "bargap",
+        "bargroupgap",
+        "barmode",
+        "barnorm",
+        "boxgap",
+        "boxgroupgap",
+        "boxmode",
+        "calendar",
+        "clickmode",
+        "coloraxis",
+        "colorscale",
+        "colorway",
+        "datarevision",
+        "direction",
+        "dragmode",
+        "editrevision",
+        "extendfunnelareacolors",
+        "extendpiecolors",
+        "extendsunburstcolors",
+        "extendtreemapcolors",
+        "font",
+        "funnelareacolorway",
+        "funnelgap",
+        "funnelgroupgap",
+        "funnelmode",
+        "geo",
+        "grid",
+        "height",
+        "hiddenlabels",
+        "hiddenlabelssrc",
+        "hidesources",
+        "hoverdistance",
+        "hoverlabel",
+        "hovermode",
+        "imagedefaults",
+        "images",
+        "legend",
+        "mapbox",
+        "margin",
+        "meta",
+        "metasrc",
+        "modebar",
+        "orientation",
+        "paper_bgcolor",
+        "piecolorway",
+        "plot_bgcolor",
+        "polar",
+        "radialaxis",
+        "scene",
+        "selectdirection",
+        "selectionrevision",
+        "separators",
+        "shapedefaults",
+        "shapes",
+        "showlegend",
+        "sliderdefaults",
+        "sliders",
+        "spikedistance",
+        "sunburstcolorway",
+        "template",
+        "ternary",
+        "title",
+        "titlefont",
+        "transition",
+        "treemapcolorway",
+        "uirevision",
+        "uniformtext",
+        "updatemenudefaults",
+        "updatemenus",
+        "violingap",
+        "violingroupgap",
+        "violinmode",
+        "waterfallgap",
+        "waterfallgroupgap",
+        "waterfallmode",
+        "width",
+        "xaxis",
+        "yaxis",
+    }
+
+    # angularaxis
+    # -----------
+    @property
+    def angularaxis(self):
+        """
+        The 'angularaxis' property is an instance of AngularAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.AngularAxis`
+          - A dict of string/value properties that will be passed
+            to the AngularAxis constructor
+    
+            Supported dict properties:
+                
+                domain
+                    Polar chart subplots are not supported yet.
+                    This key has currently no effect.
+                endpadding
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots.
+                range
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Defines the start
+                    and end point of this angular axis.
+                showline
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Determines whether
+                    or not the line bounding this angular axis will
+                    be shown on the figure.
+                showticklabels
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Determines whether
+                    or not the angular axis ticks will feature tick
+                    labels.
+                tickcolor
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the color of
+                    the tick lines on this angular axis.
+                ticklen
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the length of
+                    the tick lines on this angular axis.
+                tickorientation
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the
+                    orientation (from the paper perspective) of the
+                    angular axis tick labels.
+                ticksuffix
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the length of
+                    the tick lines on this angular axis.
+                visible
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Determines whether
+                    or not this axis will be visible.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.AngularAxis
+        """
+        return self["angularaxis"]
+
+    @angularaxis.setter
+    def angularaxis(self, val):
+        self["angularaxis"] = val
+
+    # annotations
+    # -----------
+    @property
+    def annotations(self):
+        """
+        The 'annotations' property is a tuple of instances of
+        Annotation that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.Annotation
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Annotation constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the `text`
+                    within the box. Has an effect only if `text`
+                    spans two or more lines (i.e. `text` contains
+                    one or more <br> HTML tags) or if an explicit
+                    width is set to override the text width.
+                arrowcolor
+                    Sets the color of the annotation arrow.
+                arrowhead
+                    Sets the end annotation arrow head style.
+                arrowside
+                    Sets the annotation arrow head position.
+                arrowsize
+                    Sets the size of the end annotation arrow head,
+                    relative to `arrowwidth`. A value of 1
+                    (default) gives a head about 3x as wide as the
+                    line.
+                arrowwidth
+                    Sets the width (in px) of annotation arrow
+                    line.
+                ax
+                    Sets the x component of the arrow tail about
+                    the arrow head. If `axref` is `pixel`, a
+                    positive (negative)  component corresponds to
+                    an arrow pointing from right to left (left to
+                    right). If `axref` is an axis, this is an
+                    absolute value on that axis, like `x`, NOT a
+                    relative value.
+                axref
+                    Indicates in what terms the tail of the
+                    annotation (ax,ay)  is specified. If `pixel`,
+                    `ax` is a relative offset in pixels  from `x`.
+                    If set to an x axis id (e.g. "x" or "x2"), `ax`
+                    is  specified in the same terms as that axis.
+                    This is useful  for trendline annotations which
+                    should continue to indicate  the correct trend
+                    when zoomed.
+                ay
+                    Sets the y component of the arrow tail about
+                    the arrow head. If `ayref` is `pixel`, a
+                    positive (negative)  component corresponds to
+                    an arrow pointing from bottom to top (top to
+                    bottom). If `ayref` is an axis, this is an
+                    absolute value on that axis, like `y`, NOT a
+                    relative value.
+                ayref
+                    Indicates in what terms the tail of the
+                    annotation (ax,ay)  is specified. If `pixel`,
+                    `ay` is a relative offset in pixels  from `y`.
+                    If set to a y axis id (e.g. "y" or "y2"), `ay`
+                    is  specified in the same terms as that axis.
+                    This is useful  for trendline annotations which
+                    should continue to indicate  the correct trend
+                    when zoomed.
+                bgcolor
+                    Sets the background color of the annotation.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    annotation `text`.
+                borderpad
+                    Sets the padding (in px) between the `text` and
+                    the enclosing border.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the annotation `text`.
+                captureevents
+                    Determines whether the annotation text box
+                    captures mouse move and click events, or allows
+                    those events to pass through to data points in
+                    the plot that may be behind the annotation. By
+                    default `captureevents` is False unless
+                    `hovertext` is provided. If you use the event
+                    `plotly_clickannotation` without `hovertext`
+                    you must explicitly enable `captureevents`.
+                clicktoshow
+                    Makes this annotation respond to clicks on the
+                    plot. If you click a data point that exactly
+                    matches the `x` and `y` values of this
+                    annotation, and it is hidden (visible: false),
+                    it will appear. In "onoff" mode, you must click
+                    the same point again to make it disappear, so
+                    if you click multiple points, you can show
+                    multiple annotations. In "onout" mode, a click
+                    anywhere else in the plot (on another data
+                    point or not) will hide this annotation. If you
+                    need to show/hide this annotation in response
+                    to different `x` or `y` values, you can set
+                    `xclick` and/or `yclick`. This is useful for
+                    example to label the side of a bar. To label
+                    markers though, `standoff` is preferred over
+                    `xclick` and `yclick`.
+                font
+                    Sets the annotation text font.
+                height
+                    Sets an explicit height for the text box. null
+                    (default) lets the text set the box height.
+                    Taller text will be clipped.
+                hoverlabel
+                    :class:`plotly.graph_objects.layout.annotation.
+                    Hoverlabel` instance or dict with compatible
+                    properties
+                hovertext
+                    Sets text to appear when hovering over this
+                    annotation. If omitted or blank, no hover label
+                    will appear.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                opacity
+                    Sets the opacity of the annotation (text +
+                    arrow).
+                showarrow
+                    Determines whether or not the annotation is
+                    drawn with an arrow. If True, `text` is placed
+                    near the arrow's tail. If False, `text` lines
+                    up with the `x` and `y` provided.
+                standoff
+                    Sets a distance, in pixels, to move the end
+                    arrowhead away from the position it is pointing
+                    at, for example to point at the edge of a
+                    marker independent of zoom. Note that this
+                    shortens the arrow from the `ax` / `ay` vector,
+                    in contrast to `xshift` / `yshift` which moves
+                    everything by this amount.
+                startarrowhead
+                    Sets the start annotation arrow head style.
+                startarrowsize
+                    Sets the size of the start annotation arrow
+                    head, relative to `arrowwidth`. A value of 1
+                    (default) gives a head about 3x as wide as the
+                    line.
+                startstandoff
+                    Sets a distance, in pixels, to move the start
+                    arrowhead away from the position it is pointing
+                    at, for example to point at the edge of a
+                    marker independent of zoom. Note that this
+                    shortens the arrow from the `ax` / `ay` vector,
+                    in contrast to `xshift` / `yshift` which moves
+                    everything by this amount.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                text
+                    Sets the text associated with this annotation.
+                    Plotly uses a subset of HTML tags to do things
+                    like newline (<br>), bold (<b></b>), italics
+                    (<i></i>), hyperlinks (<a href='...'></a>).
+                    Tags <em>, <sup>, <sub> <span> are also
+                    supported.
+                textangle
+                    Sets the angle at which the `text` is drawn
+                    with respect to the horizontal.
+                valign
+                    Sets the vertical alignment of the `text`
+                    within the box. Has an effect only if an
+                    explicit height is set to override the text
+                    height.
+                visible
+                    Determines whether or not this annotation is
+                    visible.
+                width
+                    Sets an explicit width for the text box. null
+                    (default) lets the text set the box width.
+                    Wider text will be clipped. There is no
+                    automatic wrapping; use <br> to start a new
+                    line.
+                x
+                    Sets the annotation's x position. If the axis
+                    `type` is "log", then you must take the log of
+                    your desired range. If the axis `type` is
+                    "date", it should be date strings, like date
+                    data, though Date objects and unix milliseconds
+                    will be accepted and converted to strings. If
+                    the axis `type` is "category", it should be
+                    numbers, using the scale where each category is
+                    assigned a serial number from zero in the order
+                    it appears.
+                xanchor
+                    Sets the text box's horizontal position anchor
+                    This anchor binds the `x` position to the
+                    "left", "center" or "right" of the annotation.
+                    For example, if `x` is set to 1, `xref` to
+                    "paper" and `xanchor` to "right" then the
+                    right-most portion of the annotation lines up
+                    with the right-most edge of the plotting area.
+                    If "auto", the anchor is equivalent to "center"
+                    for data-referenced annotations or if there is
+                    an arrow, whereas for paper-referenced with no
+                    arrow, the anchor picked corresponds to the
+                    closest side.
+                xclick
+                    Toggle this annotation when clicking a data
+                    point whose `x` value is `xclick` rather than
+                    the annotation's `x` value.
+                xref
+                    Sets the annotation's x coordinate axis. If set
+                    to an x axis id (e.g. "x" or "x2"), the `x`
+                    position refers to an x coordinate If set to
+                    "paper", the `x` position refers to the
+                    distance from the left side of the plotting
+                    area in normalized coordinates where 0 (1)
+                    corresponds to the left (right) side.
+                xshift
+                    Shifts the position of the whole annotation and
+                    arrow to the right (positive) or left
+                    (negative) by this many pixels.
+                y
+                    Sets the annotation's y position. If the axis
+                    `type` is "log", then you must take the log of
+                    your desired range. If the axis `type` is
+                    "date", it should be date strings, like date
+                    data, though Date objects and unix milliseconds
+                    will be accepted and converted to strings. If
+                    the axis `type` is "category", it should be
+                    numbers, using the scale where each category is
+                    assigned a serial number from zero in the order
+                    it appears.
+                yanchor
+                    Sets the text box's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the annotation.
+                    For example, if `y` is set to 1, `yref` to
+                    "paper" and `yanchor` to "top" then the top-
+                    most portion of the annotation lines up with
+                    the top-most edge of the plotting area. If
+                    "auto", the anchor is equivalent to "middle"
+                    for data-referenced annotations or if there is
+                    an arrow, whereas for paper-referenced with no
+                    arrow, the anchor picked corresponds to the
+                    closest side.
+                yclick
+                    Toggle this annotation when clicking a data
+                    point whose `y` value is `yclick` rather than
+                    the annotation's `y` value.
+                yref
+                    Sets the annotation's y coordinate axis. If set
+                    to an y axis id (e.g. "y" or "y2"), the `y`
+                    position refers to an y coordinate If set to
+                    "paper", the `y` position refers to the
+                    distance from the bottom of the plotting area
+                    in normalized coordinates where 0 (1)
+                    corresponds to the bottom (top).
+                yshift
+                    Shifts the position of the whole annotation and
+                    arrow up (positive) or down (negative) by this
+                    many pixels.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.Annotation]
+        """
+        return self["annotations"]
+
+    @annotations.setter
+    def annotations(self, val):
+        self["annotations"] = val
+
+    # annotationdefaults
+    # ------------------
+    @property
+    def annotationdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.annotationdefaults), sets the default
+        property values to use for elements of layout.annotations
+    
+        The 'annotationdefaults' property is an instance of Annotation
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Annotation`
+          - A dict of string/value properties that will be passed
+            to the Annotation constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Annotation
+        """
+        return self["annotationdefaults"]
+
+    @annotationdefaults.setter
+    def annotationdefaults(self, val):
+        self["annotationdefaults"] = val
+
+    # autosize
+    # --------
+    @property
+    def autosize(self):
+        """
+        Determines whether or not a layout width or height that has
+        been left undefined by the user is initialized on each
+        relayout. Note that, regardless of this attribute, an undefined
+        layout width or height is always initialized on the first call
+        to plot.
+    
+        The 'autosize' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autosize"]
+
+    @autosize.setter
+    def autosize(self, val):
+        self["autosize"] = val
+
+    # bargap
+    # ------
+    @property
+    def bargap(self):
+        """
+        Sets the gap (in plot fraction) between bars of adjacent
+        location coordinates.
+    
+        The 'bargap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["bargap"]
+
+    @bargap.setter
+    def bargap(self, val):
+        self["bargap"] = val
+
+    # bargroupgap
+    # -----------
+    @property
+    def bargroupgap(self):
+        """
+        Sets the gap (in plot fraction) between bars of the same
+        location coordinate.
+    
+        The 'bargroupgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["bargroupgap"]
+
+    @bargroupgap.setter
+    def bargroupgap(self, val):
+        self["bargroupgap"] = val
+
+    # barmode
+    # -------
+    @property
+    def barmode(self):
+        """
+        Determines how bars at the same location coordinate are
+        displayed on the graph. With "stack", the bars are stacked on
+        top of one another With "relative", the bars are stacked on top
+        of one another, with negative values below the axis, positive
+        values above With "group", the bars are plotted next to one
+        another centered around the shared location. With "overlay",
+        the bars are plotted over one another, you might need to an
+        "opacity" to see multiple bars.
+    
+        The 'barmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['stack', 'group', 'overlay', 'relative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["barmode"]
+
+    @barmode.setter
+    def barmode(self, val):
+        self["barmode"] = val
+
+    # barnorm
+    # -------
+    @property
+    def barnorm(self):
+        """
+        Sets the normalization for bar traces on the graph. With
+        "fraction", the value of each bar is divided by the sum of all
+        values at that location coordinate. "percent" is the same but
+        multiplied by 100 to show percentages.
+    
+        The 'barnorm' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['', 'fraction', 'percent']
+
+        Returns
+        -------
+        Any
+        """
+        return self["barnorm"]
+
+    @barnorm.setter
+    def barnorm(self, val):
+        self["barnorm"] = val
+
+    # boxgap
+    # ------
+    @property
+    def boxgap(self):
+        """
+        Sets the gap (in plot fraction) between boxes of adjacent
+        location coordinates. Has no effect on traces that have "width"
+        set.
+    
+        The 'boxgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["boxgap"]
+
+    @boxgap.setter
+    def boxgap(self, val):
+        self["boxgap"] = val
+
+    # boxgroupgap
+    # -----------
+    @property
+    def boxgroupgap(self):
+        """
+        Sets the gap (in plot fraction) between boxes of the same
+        location coordinate. Has no effect on traces that have "width"
+        set.
+    
+        The 'boxgroupgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["boxgroupgap"]
+
+    @boxgroupgap.setter
+    def boxgroupgap(self, val):
+        self["boxgroupgap"] = val
+
+    # boxmode
+    # -------
+    @property
+    def boxmode(self):
+        """
+        Determines how boxes at the same location coordinate are
+        displayed on the graph. If "group", the boxes are plotted next
+        to one another centered around the shared location. If
+        "overlay", the boxes are plotted over one another, you might
+        need to set "opacity" to see them multiple boxes. Has no effect
+        on traces that have "width" set.
+    
+        The 'boxmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['group', 'overlay']
+
+        Returns
+        -------
+        Any
+        """
+        return self["boxmode"]
+
+    @boxmode.setter
+    def boxmode(self, val):
+        self["boxmode"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the default calendar system to use for interpreting and
+        displaying dates throughout the plot.
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # clickmode
+    # ---------
+    @property
+    def clickmode(self):
+        """
+        Determines the mode of single click interactions. "event" is
+        the default value and emits the `plotly_click` event. In
+        addition this mode emits the `plotly_selected` event in drag
+        modes "lasso" and "select", but with no event data attached
+        (kept for compatibility reasons). The "select" flag enables
+        selecting single data points via click. This mode also supports
+        persistent selections, meaning that pressing Shift while
+        clicking, adds to / subtracts from an existing selection.
+        "select" with `hovermode`: "x" can be confusing, consider
+        explicitly setting `hovermode`: "closest" when using this
+        feature. Selection events are sent accordingly as long as
+        "event" flag is set as well. When the "event" flag is missing,
+        `plotly_click` and `plotly_selected` events are not fired.
+    
+        The 'clickmode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['event', 'select'] joined with '+' characters
+            (e.g. 'event+select')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["clickmode"]
+
+    @clickmode.setter
+    def clickmode(self, val):
+        self["clickmode"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        The 'coloraxis' property is an instance of Coloraxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Coloraxis`
+          - A dict of string/value properties that will be passed
+            to the Coloraxis constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `colorscale`. In case
+                    `colorscale` is unspecified or `autocolorscale`
+                    is true, the default  palette will be chosen
+                    according to whether numbers in the `color`
+                    array are all positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    corresponding trace color array(s)) or the
+                    bounds set in `cmin` and `cmax`  Defaults to
+                    `false` when `cmin` and `cmax` are set by the
+                    user.
+                cmax
+                    Sets the upper bound of the color domain. Value
+                    should have the same units as corresponding
+                    trace color array(s) and if set, `cmin` must be
+                    set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `cmin` and/or `cmax` to be equidistant
+                    to this point. Value should have the same units
+                    as corresponding trace color array(s). Has no
+                    effect when `cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Value
+                    should have the same units as corresponding
+                    trace color array(s) and if set, `cmax` must be
+                    set as well.
+                colorbar
+                    :class:`plotly.graph_objects.layout.coloraxis.C
+                    olorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. The colorscale must be an
+                    array containing arrays mapping a normalized
+                    value to an rgb, rgba, hex, hsl, hsv, or named
+                    color string. At minimum, a mapping for the
+                    lowest (0) and highest (1) values are required.
+                    For example, `[[0, 'rgb(0,0,255)'], [1,
+                    'rgb(255,0,0)']]`. To control the bounds of the
+                    colorscale in color space, use`cmin` and
+                    `cmax`. Alternatively, `colorscale` may be a
+                    palette name string of the following list: Grey
+                    s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                    Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                    ,Electric,Viridis,Cividis.
+                reversescale
+                    Reverses the color mapping if true. If true,
+                    `cmin` will correspond to the last color in the
+                    array and `cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Coloraxis
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        The 'colorscale' property is an instance of Colorscale
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Colorscale`
+          - A dict of string/value properties that will be passed
+            to the Colorscale constructor
+    
+            Supported dict properties:
+                
+                diverging
+                    Sets the default diverging colorscale. Note
+                    that `autocolorscale` must be true for this
+                    attribute to work.
+                sequential
+                    Sets the default sequential colorscale for
+                    positive values. Note that `autocolorscale`
+                    must be true for this attribute to work.
+                sequentialminus
+                    Sets the default sequential colorscale for
+                    negative values. Note that `autocolorscale`
+                    must be true for this attribute to work.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Colorscale
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorway
+    # --------
+    @property
+    def colorway(self):
+        """
+        Sets the default trace colors.
+    
+        The 'colorway' property is a colorlist that may be specified
+        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
+        color strings
+
+        Returns
+        -------
+        list
+        """
+        return self["colorway"]
+
+    @colorway.setter
+    def colorway(self, val):
+        self["colorway"] = val
+
+    # datarevision
+    # ------------
+    @property
+    def datarevision(self):
+        """
+        If provided, a changed value tells `Plotly.react` that one or
+        more data arrays has changed. This way you can modify arrays
+        in-place rather than making a complete new copy for an
+        incremental change. If NOT provided, `Plotly.react` assumes
+        that data arrays are being treated as immutable, thus any data
+        array with a different identity from its predecessor contains
+        new data.
+    
+        The 'datarevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["datarevision"]
+
+    @datarevision.setter
+    def datarevision(self, val):
+        self["datarevision"] = val
+
+    # direction
+    # ---------
+    @property
+    def direction(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the direction corresponding to positive angles
+        in legacy polar charts.
+    
+        The 'direction' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['clockwise', 'counterclockwise']
+
+        Returns
+        -------
+        Any
+        """
+        return self["direction"]
+
+    @direction.setter
+    def direction(self, val):
+        self["direction"] = val
+
+    # dragmode
+    # --------
+    @property
+    def dragmode(self):
+        """
+        Determines the mode of drag interactions. "select" and "lasso"
+        apply only to scatter traces with markers or text. "orbit" and
+        "turntable" apply only to 3D scenes.
+    
+        The 'dragmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['zoom', 'pan', 'select', 'lasso', 'orbit', 'turntable',
+                False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["dragmode"]
+
+    @dragmode.setter
+    def dragmode(self, val):
+        self["dragmode"] = val
+
+    # editrevision
+    # ------------
+    @property
+    def editrevision(self):
+        """
+        Controls persistence of user-driven changes in `editable: true`
+        configuration, other than trace names and axis titles. Defaults
+        to `layout.uirevision`.
+    
+        The 'editrevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["editrevision"]
+
+    @editrevision.setter
+    def editrevision(self, val):
+        self["editrevision"] = val
+
+    # extendfunnelareacolors
+    # ----------------------
+    @property
+    def extendfunnelareacolors(self):
+        """
+        If `true`, the funnelarea slice colors (whether given by
+        `funnelareacolorway` or inherited from `colorway`) will be
+        extended to three times its original length by first repeating
+        every color 20% lighter then each color 20% darker. This is
+        intended to reduce the likelihood of reusing the same color
+        when you have many slices, but you can set `false` to disable.
+        Colors provided in the trace, using `marker.colors`, are never
+        extended.
+    
+        The 'extendfunnelareacolors' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["extendfunnelareacolors"]
+
+    @extendfunnelareacolors.setter
+    def extendfunnelareacolors(self, val):
+        self["extendfunnelareacolors"] = val
+
+    # extendpiecolors
+    # ---------------
+    @property
+    def extendpiecolors(self):
+        """
+        If `true`, the pie slice colors (whether given by `piecolorway`
+        or inherited from `colorway`) will be extended to three times
+        its original length by first repeating every color 20% lighter
+        then each color 20% darker. This is intended to reduce the
+        likelihood of reusing the same color when you have many slices,
+        but you can set `false` to disable. Colors provided in the
+        trace, using `marker.colors`, are never extended.
+    
+        The 'extendpiecolors' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["extendpiecolors"]
+
+    @extendpiecolors.setter
+    def extendpiecolors(self, val):
+        self["extendpiecolors"] = val
+
+    # extendsunburstcolors
+    # --------------------
+    @property
+    def extendsunburstcolors(self):
+        """
+        If `true`, the sunburst slice colors (whether given by
+        `sunburstcolorway` or inherited from `colorway`) will be
+        extended to three times its original length by first repeating
+        every color 20% lighter then each color 20% darker. This is
+        intended to reduce the likelihood of reusing the same color
+        when you have many slices, but you can set `false` to disable.
+        Colors provided in the trace, using `marker.colors`, are never
+        extended.
+    
+        The 'extendsunburstcolors' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["extendsunburstcolors"]
+
+    @extendsunburstcolors.setter
+    def extendsunburstcolors(self, val):
+        self["extendsunburstcolors"] = val
+
+    # extendtreemapcolors
+    # -------------------
+    @property
+    def extendtreemapcolors(self):
+        """
+        If `true`, the treemap slice colors (whether given by
+        `treemapcolorway` or inherited from `colorway`) will be
+        extended to three times its original length by first repeating
+        every color 20% lighter then each color 20% darker. This is
+        intended to reduce the likelihood of reusing the same color
+        when you have many slices, but you can set `false` to disable.
+        Colors provided in the trace, using `marker.colors`, are never
+        extended.
+    
+        The 'extendtreemapcolors' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["extendtreemapcolors"]
+
+    @extendtreemapcolors.setter
+    def extendtreemapcolors(self, val):
+        self["extendtreemapcolors"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the global font. Note that fonts used in traces and other
+        layout components inherit from the global font.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # funnelareacolorway
+    # ------------------
+    @property
+    def funnelareacolorway(self):
+        """
+        Sets the default funnelarea slice colors. Defaults to the main
+        `colorway` used for trace colors. If you specify a new list
+        here it can still be extended with lighter and darker colors,
+        see `extendfunnelareacolors`.
+    
+        The 'funnelareacolorway' property is a colorlist that may be specified
+        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
+        color strings
+
+        Returns
+        -------
+        list
+        """
+        return self["funnelareacolorway"]
+
+    @funnelareacolorway.setter
+    def funnelareacolorway(self, val):
+        self["funnelareacolorway"] = val
+
+    # funnelgap
+    # ---------
+    @property
+    def funnelgap(self):
+        """
+        Sets the gap (in plot fraction) between bars of adjacent
+        location coordinates.
+    
+        The 'funnelgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["funnelgap"]
+
+    @funnelgap.setter
+    def funnelgap(self, val):
+        self["funnelgap"] = val
+
+    # funnelgroupgap
+    # --------------
+    @property
+    def funnelgroupgap(self):
+        """
+        Sets the gap (in plot fraction) between bars of the same
+        location coordinate.
+    
+        The 'funnelgroupgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["funnelgroupgap"]
+
+    @funnelgroupgap.setter
+    def funnelgroupgap(self, val):
+        self["funnelgroupgap"] = val
+
+    # funnelmode
+    # ----------
+    @property
+    def funnelmode(self):
+        """
+        Determines how bars at the same location coordinate are
+        displayed on the graph. With "stack", the bars are stacked on
+        top of one another With "group", the bars are plotted next to
+        one another centered around the shared location. With
+        "overlay", the bars are plotted over one another, you might
+        need to an "opacity" to see multiple bars.
+    
+        The 'funnelmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['stack', 'group', 'overlay']
+
+        Returns
+        -------
+        Any
+        """
+        return self["funnelmode"]
+
+    @funnelmode.setter
+    def funnelmode(self, val):
+        self["funnelmode"] = val
+
+    # geo
+    # ---
+    @property
+    def geo(self):
+        """
+        The 'geo' property is an instance of Geo
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Geo`
+          - A dict of string/value properties that will be passed
+            to the Geo constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Set the background color of the map
+                center
+                    :class:`plotly.graph_objects.layout.geo.Center`
+                    instance or dict with compatible properties
+                coastlinecolor
+                    Sets the coastline color.
+                coastlinewidth
+                    Sets the coastline stroke width (in px).
+                countrycolor
+                    Sets line color of the country boundaries.
+                countrywidth
+                    Sets line width (in px) of the country
+                    boundaries.
+                domain
+                    :class:`plotly.graph_objects.layout.geo.Domain`
+                    instance or dict with compatible properties
+                fitbounds
+                    Determines if this subplot's view settings are
+                    auto-computed to fit trace data. On scoped
+                    maps, setting `fitbounds` leads to `center.lon`
+                    and `center.lat` getting auto-filled. On maps
+                    with a non-clipped projection, setting
+                    `fitbounds` leads to `center.lon`,
+                    `center.lat`, and `projection.rotation.lon`
+                    getting auto-filled. On maps with a clipped
+                    projection, setting `fitbounds` leads to
+                    `center.lon`, `center.lat`,
+                    `projection.rotation.lon`,
+                    `projection.rotation.lat`, `lonaxis.range` and
+                    `lonaxis.range` getting auto-filled. If
+                    "locations", only the trace's visible locations
+                    are considered in the `fitbounds` computations.
+                    If "geojson", the entire trace input `geojson`
+                    (if provided) is considered in the `fitbounds`
+                    computations, Defaults to False.
+                framecolor
+                    Sets the color the frame.
+                framewidth
+                    Sets the stroke width (in px) of the frame.
+                lakecolor
+                    Sets the color of the lakes.
+                landcolor
+                    Sets the land mass color.
+                lataxis
+                    :class:`plotly.graph_objects.layout.geo.Lataxis
+                    ` instance or dict with compatible properties
+                lonaxis
+                    :class:`plotly.graph_objects.layout.geo.Lonaxis
+                    ` instance or dict with compatible properties
+                oceancolor
+                    Sets the ocean color
+                projection
+                    :class:`plotly.graph_objects.layout.geo.Project
+                    ion` instance or dict with compatible
+                    properties
+                resolution
+                    Sets the resolution of the base layers. The
+                    values have units of km/mm e.g. 110 corresponds
+                    to a scale ratio of 1:110,000,000.
+                rivercolor
+                    Sets color of the rivers.
+                riverwidth
+                    Sets the stroke width (in px) of the rivers.
+                scope
+                    Set the scope of the map.
+                showcoastlines
+                    Sets whether or not the coastlines are drawn.
+                showcountries
+                    Sets whether or not country boundaries are
+                    drawn.
+                showframe
+                    Sets whether or not a frame is drawn around the
+                    map.
+                showlakes
+                    Sets whether or not lakes are drawn.
+                showland
+                    Sets whether or not land masses are filled in
+                    color.
+                showocean
+                    Sets whether or not oceans are filled in color.
+                showrivers
+                    Sets whether or not rivers are drawn.
+                showsubunits
+                    Sets whether or not boundaries of subunits
+                    within countries (e.g. states, provinces) are
+                    drawn.
+                subunitcolor
+                    Sets the color of the subunits boundaries.
+                subunitwidth
+                    Sets the stroke width (in px) of the subunits
+                    boundaries.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    the view (projection and center). Defaults to
+                    `layout.uirevision`.
+                visible
+                    Sets the default visibility of the base layers.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Geo
+        """
+        return self["geo"]
+
+    @geo.setter
+    def geo(self, val):
+        self["geo"] = val
+
+    # grid
+    # ----
+    @property
+    def grid(self):
+        """
+        The 'grid' property is an instance of Grid
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Grid`
+          - A dict of string/value properties that will be passed
+            to the Grid constructor
+    
+            Supported dict properties:
+                
+                columns
+                    The number of columns in the grid. If you
+                    provide a 2D `subplots` array, the length of
+                    its longest row is used as the default. If you
+                    give an `xaxes` array, its length is used as
+                    the default. But it's also possible to have a
+                    different length, if you want to leave a row at
+                    the end for non-cartesian subplots.
+                domain
+                    :class:`plotly.graph_objects.layout.grid.Domain
+                    ` instance or dict with compatible properties
+                pattern
+                    If no `subplots`, `xaxes`, or `yaxes` are given
+                    but we do have `rows` and `columns`, we can
+                    generate defaults using consecutive axis IDs,
+                    in two ways: "coupled" gives one x axis per
+                    column and one y axis per row. "independent"
+                    uses a new xy pair for each cell, left-to-right
+                    across each row then iterating rows according
+                    to `roworder`.
+                roworder
+                    Is the first row the top or the bottom? Note
+                    that columns are always enumerated from left to
+                    right.
+                rows
+                    The number of rows in the grid. If you provide
+                    a 2D `subplots` array or a `yaxes` array, its
+                    length is used as the default. But it's also
+                    possible to have a different length, if you
+                    want to leave a row at the end for non-
+                    cartesian subplots.
+                subplots
+                    Used for freeform grids, where some axes may be
+                    shared across subplots but others are not. Each
+                    entry should be a cartesian subplot id, like
+                    "xy" or "x3y2", or "" to leave that cell empty.
+                    You may reuse x axes within the same column,
+                    and y axes within the same row. Non-cartesian
+                    subplots and traces that support `domain` can
+                    place themselves in this grid separately using
+                    the `gridcell` attribute.
+                xaxes
+                    Used with `yaxes` when the x and y axes are
+                    shared across columns and rows. Each entry
+                    should be an x axis id like "x", "x2", etc., or
+                    "" to not put an x axis in that column. Entries
+                    other than "" must be unique. Ignored if
+                    `subplots` is present. If missing but `yaxes`
+                    is present, will generate consecutive IDs.
+                xgap
+                    Horizontal space between grid cells, expressed
+                    as a fraction of the total width available to
+                    one cell. Defaults to 0.1 for coupled-axes
+                    grids and 0.2 for independent grids.
+                xside
+                    Sets where the x axis labels and titles go.
+                    "bottom" means the very bottom of the grid.
+                    "bottom plot" is the lowest plot that each x
+                    axis is used in. "top" and "top plot" are
+                    similar.
+                yaxes
+                    Used with `yaxes` when the x and y axes are
+                    shared across columns and rows. Each entry
+                    should be an y axis id like "y", "y2", etc., or
+                    "" to not put a y axis in that row. Entries
+                    other than "" must be unique. Ignored if
+                    `subplots` is present. If missing but `xaxes`
+                    is present, will generate consecutive IDs.
+                ygap
+                    Vertical space between grid cells, expressed as
+                    a fraction of the total height available to one
+                    cell. Defaults to 0.1 for coupled-axes grids
+                    and 0.3 for independent grids.
+                yside
+                    Sets where the y axis labels and titles go.
+                    "left" means the very left edge of the grid.
+                    *left plot* is the leftmost plot that each y
+                    axis is used in. "right" and *right plot* are
+                    similar.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Grid
+        """
+        return self["grid"]
+
+    @grid.setter
+    def grid(self, val):
+        self["grid"] = val
+
+    # height
+    # ------
+    @property
+    def height(self):
+        """
+        Sets the plot's height (in px).
+    
+        The 'height' property is a number and may be specified as:
+          - An int or float in the interval [10, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["height"]
+
+    @height.setter
+    def height(self, val):
+        self["height"] = val
+
+    # hiddenlabels
+    # ------------
+    @property
+    def hiddenlabels(self):
+        """
+        hiddenlabels is the funnelarea & pie chart analog of
+        visible:'legendonly' but it can contain many labels, and can
+        simultaneously hide slices from several pies/funnelarea charts
+    
+        The 'hiddenlabels' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["hiddenlabels"]
+
+    @hiddenlabels.setter
+    def hiddenlabels(self, val):
+        self["hiddenlabels"] = val
+
+    # hiddenlabelssrc
+    # ---------------
+    @property
+    def hiddenlabelssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hiddenlabels .
+    
+        The 'hiddenlabelssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hiddenlabelssrc"]
+
+    @hiddenlabelssrc.setter
+    def hiddenlabelssrc(self, val):
+        self["hiddenlabelssrc"] = val
+
+    # hidesources
+    # -----------
+    @property
+    def hidesources(self):
+        """
+        Determines whether or not a text link citing the data source is
+        placed at the bottom-right cored of the figure. Has only an
+        effect only on graphs that have been generated via forked
+        graphs from the Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise).
+    
+        The 'hidesources' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["hidesources"]
+
+    @hidesources.setter
+    def hidesources(self, val):
+        self["hidesources"] = val
+
+    # hoverdistance
+    # -------------
+    @property
+    def hoverdistance(self):
+        """
+        Sets the default distance (in pixels) to look for data to add
+        hover labels (-1 means no cutoff, 0 means no looking for data).
+        This is only a real distance for hovering on point-like
+        objects, like scatter points. For area-like objects (bars,
+        scatter fills, etc) hovering is on inside the area and off
+        outside, but these objects will not supersede hover on point-
+        like objects in case of conflict.
+    
+        The 'hoverdistance' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["hoverdistance"]
+
+    @hoverdistance.setter
+    def hoverdistance(self, val):
+        self["hoverdistance"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                bgcolor
+                    Sets the background color of all hover labels
+                    on graph
+                bordercolor
+                    Sets the border color of all hover labels on
+                    graph.
+                font
+                    Sets the default hover label font used by all
+                    traces on the graph.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovermode
+    # ---------
+    @property
+    def hovermode(self):
+        """
+        Determines the mode of hover interactions. If "closest", a
+        single hoverlabel will appear for the "closest" point within
+        the `hoverdistance`. If "x" (or "y"), multiple hoverlabels will
+        appear for multiple points at the "closest" x- (or y-)
+        coordinate within the `hoverdistance`, with the caveat that no
+        more than one hoverlabel will appear per trace. If *x unified*
+        (or *y unified*), a single hoverlabel will appear multiple
+        points at the closest x- (or y-) coordinate within the
+        `hoverdistance` with the caveat that no more than one
+        hoverlabel will appear per trace. In this mode, spikelines are
+        enabled by default perpendicular to the specified axis. If
+        false, hover interactions are disabled. If `clickmode` includes
+        the "select" flag, `hovermode` defaults to "closest". If
+        `clickmode` lacks the "select" flag, it defaults to "x" or "y"
+        (depending on the trace's `orientation` value) for plots based
+        on cartesian coordinates. For anything else the default value
+        is "closest".
+    
+        The 'hovermode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['x', 'y', 'closest', False, 'x unified', 'y unified']
+
+        Returns
+        -------
+        Any
+        """
+        return self["hovermode"]
+
+    @hovermode.setter
+    def hovermode(self, val):
+        self["hovermode"] = val
+
+    # images
+    # ------
+    @property
+    def images(self):
+        """
+        The 'images' property is a tuple of instances of
+        Image that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.Image
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Image constructor
+    
+            Supported dict properties:
+                
+                layer
+                    Specifies whether images are drawn below or
+                    above traces. When `xref` and `yref` are both
+                    set to `paper`, image is drawn below the entire
+                    plot area.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                opacity
+                    Sets the opacity of the image.
+                sizex
+                    Sets the image container size horizontally. The
+                    image will be sized based on the `position`
+                    value. When `xref` is set to `paper`, units are
+                    sized relative to the plot width.
+                sizey
+                    Sets the image container size vertically. The
+                    image will be sized based on the `position`
+                    value. When `yref` is set to `paper`, units are
+                    sized relative to the plot height.
+                sizing
+                    Specifies which dimension of the image to
+                    constrain.
+                source
+                    Specifies the URL of the image to be used. The
+                    URL must be accessible from the domain where
+                    the plot code is run, and can be either
+                    relative or absolute.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                visible
+                    Determines whether or not this image is
+                    visible.
+                x
+                    Sets the image's x position. When `xref` is set
+                    to `paper`, units are sized relative to the
+                    plot height. See `xref` for more info
+                xanchor
+                    Sets the anchor for the x position
+                xref
+                    Sets the images's x coordinate axis. If set to
+                    a x axis id (e.g. "x" or "x2"), the `x`
+                    position refers to an x data coordinate If set
+                    to "paper", the `x` position refers to the
+                    distance from the left of plot in normalized
+                    coordinates where 0 (1) corresponds to the left
+                    (right).
+                y
+                    Sets the image's y position. When `yref` is set
+                    to `paper`, units are sized relative to the
+                    plot height. See `yref` for more info
+                yanchor
+                    Sets the anchor for the y position.
+                yref
+                    Sets the images's y coordinate axis. If set to
+                    a y axis id (e.g. "y" or "y2"), the `y`
+                    position refers to a y data coordinate. If set
+                    to "paper", the `y` position refers to the
+                    distance from the bottom of the plot in
+                    normalized coordinates where 0 (1) corresponds
+                    to the bottom (top).
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.Image]
+        """
+        return self["images"]
+
+    @images.setter
+    def images(self, val):
+        self["images"] = val
+
+    # imagedefaults
+    # -------------
+    @property
+    def imagedefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.imagedefaults), sets the default
+        property values to use for elements of layout.images
+    
+        The 'imagedefaults' property is an instance of Image
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Image`
+          - A dict of string/value properties that will be passed
+            to the Image constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Image
+        """
+        return self["imagedefaults"]
+
+    @imagedefaults.setter
+    def imagedefaults(self, val):
+        self["imagedefaults"] = val
+
+    # legend
+    # ------
+    @property
+    def legend(self):
+        """
+        The 'legend' property is an instance of Legend
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Legend`
+          - A dict of string/value properties that will be passed
+            to the Legend constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the legend background color. Defaults to
+                    `layout.paper_bgcolor`.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    legend.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the legend.
+                font
+                    Sets the font used to text the legend items.
+                itemclick
+                    Determines the behavior on legend item click.
+                    "toggle" toggles the visibility of the item
+                    clicked on the graph. "toggleothers" makes the
+                    clicked item the sole visible item on the
+                    graph. False disable legend item click
+                    interactions.
+                itemdoubleclick
+                    Determines the behavior on legend item double-
+                    click. "toggle" toggles the visibility of the
+                    item clicked on the graph. "toggleothers" makes
+                    the clicked item the sole visible item on the
+                    graph. False disable legend item double-click
+                    interactions.
+                itemsizing
+                    Determines if the legend items symbols scale
+                    with their corresponding "trace" attributes or
+                    remain "constant" independent of the symbol
+                    size on the graph.
+                orientation
+                    Sets the orientation of the legend.
+                title
+                    :class:`plotly.graph_objects.layout.legend.Titl
+                    e` instance or dict with compatible properties
+                tracegroupgap
+                    Sets the amount of vertical space (in px)
+                    between legend groups.
+                traceorder
+                    Determines the order at which the legend items
+                    are displayed. If "normal", the items are
+                    displayed top-to-bottom in the same order as
+                    the input data. If "reversed", the items are
+                    displayed in the opposite order as "normal". If
+                    "grouped", the items are displayed in groups
+                    (when a trace `legendgroup` is provided). if
+                    "grouped+reversed", the items are displayed in
+                    the opposite order as "grouped".
+                uirevision
+                    Controls persistence of legend-driven changes
+                    in trace and pie label visibility. Defaults to
+                    `layout.uirevision`.
+                valign
+                    Sets the vertical alignment of the symbols with
+                    respect to their associated text.
+                x
+                    Sets the x position (in normalized coordinates)
+                    of the legend. Defaults to 1.02 for vertical
+                    legends and defaults to 0 for horizontal
+                    legends.
+                xanchor
+                    Sets the legend's horizontal position anchor.
+                    This anchor binds the `x` position to the
+                    "left", "center" or "right" of the legend.
+                    Value "auto" anchors legends to the right for
+                    `x` values greater than or equal to 2/3,
+                    anchors legends to the left for `x` values less
+                    than or equal to 1/3 and anchors legends with
+                    respect to their center otherwise.
+                y
+                    Sets the y position (in normalized coordinates)
+                    of the legend. Defaults to 1 for vertical
+                    legends, defaults to "-0.1" for horizontal
+                    legends on graphs w/o range sliders and
+                    defaults to 1.1 for horizontal legends on graph
+                    with one or multiple range sliders.
+                yanchor
+                    Sets the legend's vertical position anchor This
+                    anchor binds the `y` position to the "top",
+                    "middle" or "bottom" of the legend. Value
+                    "auto" anchors legends at their bottom for `y`
+                    values less than or equal to 1/3, anchors
+                    legends to at their top for `y` values greater
+                    than or equal to 2/3 and anchors legends with
+                    respect to their middle otherwise.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Legend
+        """
+        return self["legend"]
+
+    @legend.setter
+    def legend(self, val):
+        self["legend"] = val
+
+    # mapbox
+    # ------
+    @property
+    def mapbox(self):
+        """
+        The 'mapbox' property is an instance of Mapbox
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Mapbox`
+          - A dict of string/value properties that will be passed
+            to the Mapbox constructor
+    
+            Supported dict properties:
+                
+                accesstoken
+                    Sets the mapbox access token to be used for
+                    this mapbox map. Alternatively, the mapbox
+                    access token can be set in the configuration
+                    options under `mapboxAccessToken`. Note that
+                    accessToken are only required when `style` (e.g
+                    with values : basic, streets, outdoors, light,
+                    dark, satellite, satellite-streets ) and/or a
+                    layout layer references the Mapbox server.
+                bearing
+                    Sets the bearing angle of the map in degrees
+                    counter-clockwise from North (mapbox.bearing).
+                center
+                    :class:`plotly.graph_objects.layout.mapbox.Cent
+                    er` instance or dict with compatible properties
+                domain
+                    :class:`plotly.graph_objects.layout.mapbox.Doma
+                    in` instance or dict with compatible properties
+                layers
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    mapbox.Layer` instances or dicts with
+                    compatible properties
+                layerdefaults
+                    When used in a template (as
+                    layout.template.layout.mapbox.layerdefaults),
+                    sets the default property values to use for
+                    elements of layout.mapbox.layers
+                pitch
+                    Sets the pitch angle of the map (in degrees,
+                    where 0 means perpendicular to the surface of
+                    the map) (mapbox.pitch).
+                style
+                    Defines the map layers that are rendered by
+                    default below the trace layers defined in
+                    `data`, which are themselves by default
+                    rendered below the layers defined in
+                    `layout.mapbox.layers`.  These layers can be
+                    defined either explicitly as a Mapbox Style
+                    object which can contain multiple layer
+                    definitions that load data from any public or
+                    private Tile Map Service (TMS or XYZ) or Web
+                    Map Service (WMS) or implicitly by using one of
+                    the built-in style objects which use WMSes
+                    which do not require any access tokens, or by
+                    using a default Mapbox style or custom Mapbox
+                    style URL, both of which require a Mapbox
+                    access token  Note that Mapbox access token can
+                    be set in the `accesstoken` attribute or in the
+                    `mapboxAccessToken` config option.  Mapbox
+                    Style objects are of the form described in the
+                    Mapbox GL JS documentation available at
+                    https://docs.mapbox.com/mapbox-gl-js/style-spec
+                    The built-in plotly.js styles objects are:
+                    open-street-map, white-bg, carto-positron,
+                    carto-darkmatter, stamen-terrain, stamen-toner,
+                    stamen-watercolor  The built-in Mapbox styles
+                    are: basic, streets, outdoors, light, dark,
+                    satellite, satellite-streets  Mapbox style URLs
+                    are of the form:
+                    mapbox://mapbox.mapbox-<name>-<version>
+                uirevision
+                    Controls persistence of user-driven changes in
+                    the view: `center`, `zoom`, `bearing`, `pitch`.
+                    Defaults to `layout.uirevision`.
+                zoom
+                    Sets the zoom level of the map (mapbox.zoom).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Mapbox
+        """
+        return self["mapbox"]
+
+    @mapbox.setter
+    def mapbox(self, val):
+        self["mapbox"] = val
+
+    # margin
+    # ------
+    @property
+    def margin(self):
+        """
+        The 'margin' property is an instance of Margin
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Margin`
+          - A dict of string/value properties that will be passed
+            to the Margin constructor
+    
+            Supported dict properties:
+                
+                autoexpand
+                    Turns on/off margin expansion computations.
+                    Legends, colorbars, updatemenus, sliders, axis
+                    rangeselector and rangeslider are allowed to
+                    push the margins by defaults.
+                b
+                    Sets the bottom margin (in px).
+                l
+                    Sets the left margin (in px).
+                pad
+                    Sets the amount of padding (in px) between the
+                    plotting area and the axis lines
+                r
+                    Sets the right margin (in px).
+                t
+                    Sets the top margin (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Margin
+        """
+        return self["margin"]
+
+    @margin.setter
+    def margin(self, val):
+        self["margin"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information that can be used in various
+        `text` attributes. Attributes such as the graph, axis and
+        colorbar `title.text`, annotation `text` `trace.name` in legend
+        items, `rangeselector`, `updatemenus` and `sliders` `label`
+        text all support `meta`. One can access `meta` fields using
+        template strings: `%{meta[i]}` where `i` is the index of the
+        `meta` item in question. `meta` can also be an object for
+        example `{key: value}` which can be accessed %{meta[key]}.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # modebar
+    # -------
+    @property
+    def modebar(self):
+        """
+        The 'modebar' property is an instance of Modebar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Modebar`
+          - A dict of string/value properties that will be passed
+            to the Modebar constructor
+    
+            Supported dict properties:
+                
+                activecolor
+                    Sets the color of the active or hovered on
+                    icons in the modebar.
+                bgcolor
+                    Sets the background color of the modebar.
+                color
+                    Sets the color of the icons in the modebar.
+                orientation
+                    Sets the orientation of the modebar.
+                uirevision
+                    Controls persistence of user-driven changes
+                    related to the modebar, including `hovermode`,
+                    `dragmode`, and `showspikes` at both the root
+                    level and inside subplots. Defaults to
+                    `layout.uirevision`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Modebar
+        """
+        return self["modebar"]
+
+    @modebar.setter
+    def modebar(self, val):
+        self["modebar"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Rotates the entire polar by the given angle in legacy
+        polar charts.
+    
+        The 'orientation' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # paper_bgcolor
+    # -------------
+    @property
+    def paper_bgcolor(self):
+        """
+        Sets the background color of the paper where the graph is
+        drawn.
+    
+        The 'paper_bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["paper_bgcolor"]
+
+    @paper_bgcolor.setter
+    def paper_bgcolor(self, val):
+        self["paper_bgcolor"] = val
+
+    # piecolorway
+    # -----------
+    @property
+    def piecolorway(self):
+        """
+        Sets the default pie slice colors. Defaults to the main
+        `colorway` used for trace colors. If you specify a new list
+        here it can still be extended with lighter and darker colors,
+        see `extendpiecolors`.
+    
+        The 'piecolorway' property is a colorlist that may be specified
+        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
+        color strings
+
+        Returns
+        -------
+        list
+        """
+        return self["piecolorway"]
+
+    @piecolorway.setter
+    def piecolorway(self, val):
+        self["piecolorway"] = val
+
+    # plot_bgcolor
+    # ------------
+    @property
+    def plot_bgcolor(self):
+        """
+        Sets the background color of the plotting area in-between x and
+        y axes.
+    
+        The 'plot_bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["plot_bgcolor"]
+
+    @plot_bgcolor.setter
+    def plot_bgcolor(self, val):
+        self["plot_bgcolor"] = val
+
+    # polar
+    # -----
+    @property
+    def polar(self):
+        """
+        The 'polar' property is an instance of Polar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Polar`
+          - A dict of string/value properties that will be passed
+            to the Polar constructor
+    
+            Supported dict properties:
+                
+                angularaxis
+                    :class:`plotly.graph_objects.layout.polar.Angul
+                    arAxis` instance or dict with compatible
+                    properties
+                bargap
+                    Sets the gap between bars of adjacent location
+                    coordinates. Values are unitless, they
+                    represent fractions of the minimum difference
+                    in bar positions in the data.
+                barmode
+                    Determines how bars at the same location
+                    coordinate are displayed on the graph. With
+                    "stack", the bars are stacked on top of one
+                    another With "overlay", the bars are plotted
+                    over one another, you might need to an
+                    "opacity" to see multiple bars.
+                bgcolor
+                    Set the background color of the subplot
+                domain
+                    :class:`plotly.graph_objects.layout.polar.Domai
+                    n` instance or dict with compatible properties
+                gridshape
+                    Determines if the radial axis grid lines and
+                    angular axis line are drawn as "circular"
+                    sectors or as "linear" (polygon) sectors. Has
+                    an effect only when the angular axis has `type`
+                    "category". Note that `radialaxis.angle` is
+                    snapped to the angle of the closest vertex when
+                    `gridshape` is "circular" (so that radial axis
+                    scale is the same as the data scale).
+                hole
+                    Sets the fraction of the radius to cut out of
+                    the polar subplot.
+                radialaxis
+                    :class:`plotly.graph_objects.layout.polar.Radia
+                    lAxis` instance or dict with compatible
+                    properties
+                sector
+                    Sets angular span of this polar subplot with
+                    two angles (in degrees). Sector are assumed to
+                    be spanned in the counterclockwise direction
+                    with 0 corresponding to rightmost limit of the
+                    polar subplot.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis attributes, if not overridden in the
+                    individual axes. Defaults to
+                    `layout.uirevision`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Polar
+        """
+        return self["polar"]
+
+    @polar.setter
+    def polar(self, val):
+        self["polar"] = val
+
+    # radialaxis
+    # ----------
+    @property
+    def radialaxis(self):
+        """
+        The 'radialaxis' property is an instance of RadialAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.RadialAxis`
+          - A dict of string/value properties that will be passed
+            to the RadialAxis constructor
+    
+            Supported dict properties:
+                
+                domain
+                    Polar chart subplots are not supported yet.
+                    This key has currently no effect.
+                endpadding
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots.
+                orientation
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the
+                    orientation (an angle with respect to the
+                    origin) of the radial axis.
+                range
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Defines the start
+                    and end point of this radial axis.
+                showline
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Determines whether
+                    or not the line bounding this radial axis will
+                    be shown on the figure.
+                showticklabels
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Determines whether
+                    or not the radial axis ticks will feature tick
+                    labels.
+                tickcolor
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the color of
+                    the tick lines on this radial axis.
+                ticklen
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the length of
+                    the tick lines on this radial axis.
+                tickorientation
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the
+                    orientation (from the paper perspective) of the
+                    radial axis tick labels.
+                ticksuffix
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Sets the length of
+                    the tick lines on this radial axis.
+                visible
+                    Legacy polar charts are deprecated! Please
+                    switch to "polar" subplots. Determines whether
+                    or not this axis will be visible.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.RadialAxis
+        """
+        return self["radialaxis"]
+
+    @radialaxis.setter
+    def radialaxis(self, val):
+        self["radialaxis"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        The 'scene' property is an instance of Scene
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Scene`
+          - A dict of string/value properties that will be passed
+            to the Scene constructor
+    
+            Supported dict properties:
+                
+                annotations
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    scene.Annotation` instances or dicts with
+                    compatible properties
+                annotationdefaults
+                    When used in a template (as layout.template.lay
+                    out.scene.annotationdefaults), sets the default
+                    property values to use for elements of
+                    layout.scene.annotations
+                aspectmode
+                    If "cube", this scene's axes are drawn as a
+                    cube, regardless of the axes' ranges. If
+                    "data", this scene's axes are drawn in
+                    proportion with the axes' ranges. If "manual",
+                    this scene's axes are drawn in proportion with
+                    the input of "aspectratio" (the default
+                    behavior if "aspectratio" is provided). If
+                    "auto", this scene's axes are drawn using the
+                    results of "data" except when one axis is more
+                    than four times the size of the two others,
+                    where in that case the results of "cube" are
+                    used.
+                aspectratio
+                    Sets this scene's axis aspectratio.
+                bgcolor
+    
+                camera
+                    :class:`plotly.graph_objects.layout.scene.Camer
+                    a` instance or dict with compatible properties
+                domain
+                    :class:`plotly.graph_objects.layout.scene.Domai
+                    n` instance or dict with compatible properties
+                dragmode
+                    Determines the mode of drag interactions for
+                    this scene.
+                hovermode
+                    Determines the mode of hover interactions for
+                    this scene.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    camera attributes. Defaults to
+                    `layout.uirevision`.
+                xaxis
+                    :class:`plotly.graph_objects.layout.scene.XAxis
+                    ` instance or dict with compatible properties
+                yaxis
+                    :class:`plotly.graph_objects.layout.scene.YAxis
+                    ` instance or dict with compatible properties
+                zaxis
+                    :class:`plotly.graph_objects.layout.scene.ZAxis
+                    ` instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Scene
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # selectdirection
+    # ---------------
+    @property
+    def selectdirection(self):
+        """
+        When "dragmode" is set to "select", this limits the selection
+        of the drag to horizontal, vertical or diagonal. "h" only
+        allows horizontal selection, "v" only vertical, "d" only
+        diagonal and "any" sets no limit.
+    
+        The 'selectdirection' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['h', 'v', 'd', 'any']
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectdirection"]
+
+    @selectdirection.setter
+    def selectdirection(self, val):
+        self["selectdirection"] = val
+
+    # selectionrevision
+    # -----------------
+    @property
+    def selectionrevision(self):
+        """
+        Controls persistence of user-driven changes in selected points
+        from all traces.
+    
+        The 'selectionrevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectionrevision"]
+
+    @selectionrevision.setter
+    def selectionrevision(self, val):
+        self["selectionrevision"] = val
+
+    # separators
+    # ----------
+    @property
+    def separators(self):
+        """
+        Sets the decimal and thousand separators. For example, *. *
+        puts a '.' before decimals and a space between thousands. In
+        English locales, dflt is ".," but other locales may alter this
+        default.
+    
+        The 'separators' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["separators"]
+
+    @separators.setter
+    def separators(self, val):
+        self["separators"] = val
+
+    # shapes
+    # ------
+    @property
+    def shapes(self):
+        """
+        The 'shapes' property is a tuple of instances of
+        Shape that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.Shape
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Shape constructor
+    
+            Supported dict properties:
+                
+                fillcolor
+                    Sets the color filling the shape's interior.
+                layer
+                    Specifies whether shapes are drawn below or
+                    above traces.
+                line
+                    :class:`plotly.graph_objects.layout.shape.Line`
+                    instance or dict with compatible properties
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                opacity
+                    Sets the opacity of the shape.
+                path
+                    For `type` "path" - a valid SVG path with the
+                    pixel values replaced by data values in
+                    `xsizemode`/`ysizemode` being "scaled" and
+                    taken unmodified as pixels relative to
+                    `xanchor` and `yanchor` in case of "pixel" size
+                    mode. There are a few restrictions / quirks
+                    only absolute instructions, not relative. So
+                    the allowed segments are: M, L, H, V, Q, C, T,
+                    S, and Z arcs (A) are not allowed because
+                    radius rx and ry are relative. In the future we
+                    could consider supporting relative commands,
+                    but we would have to decide on how to handle
+                    date and log axes. Note that even as is, Q and
+                    C Bezier paths that are smooth on linear axes
+                    may not be smooth on log, and vice versa. no
+                    chained "polybezier" commands - specify the
+                    segment type for each one. On category axes,
+                    values are numbers scaled to the serial numbers
+                    of categories because using the categories
+                    themselves there would be no way to describe
+                    fractional positions On data axes: because
+                    space and T are both normal components of path
+                    strings, we can't use either to separate date
+                    from time parts. Therefore we'll use underscore
+                    for this purpose: 2015-02-21_13:45:56.789
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                type
+                    Specifies the shape type to be drawn. If
+                    "line", a line is drawn from (`x0`,`y0`) to
+                    (`x1`,`y1`) with respect to the axes' sizing
+                    mode. If "circle", a circle is drawn from
+                    ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
+                    (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2
+                    -`y0`)|) with respect to the axes' sizing mode.
+                    If "rect", a rectangle is drawn linking
+                    (`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`),
+                    (`x0`,`y1`), (`x0`,`y0`) with respect to the
+                    axes' sizing mode. If "path", draw a custom SVG
+                    path using `path`. with respect to the axes'
+                    sizing mode.
+                visible
+                    Determines whether or not this shape is
+                    visible.
+                x0
+                    Sets the shape's starting x position. See
+                    `type` and `xsizemode` for more info.
+                x1
+                    Sets the shape's end x position. See `type` and
+                    `xsizemode` for more info.
+                xanchor
+                    Only relevant in conjunction with `xsizemode`
+                    set to "pixel". Specifies the anchor point on
+                    the x axis to which `x0`, `x1` and x
+                    coordinates within `path` are relative to. E.g.
+                    useful to attach a pixel sized shape to a
+                    certain data value. No effect when `xsizemode`
+                    not set to "pixel".
+                xref
+                    Sets the shape's x coordinate axis. If set to
+                    an x axis id (e.g. "x" or "x2"), the `x`
+                    position refers to an x coordinate. If set to
+                    "paper", the `x` position refers to the
+                    distance from the left side of the plotting
+                    area in normalized coordinates where 0 (1)
+                    corresponds to the left (right) side. If the
+                    axis `type` is "log", then you must take the
+                    log of your desired range. If the axis `type`
+                    is "date", then you must convert the date to
+                    unix time in milliseconds.
+                xsizemode
+                    Sets the shapes's sizing mode along the x axis.
+                    If set to "scaled", `x0`, `x1` and x
+                    coordinates within `path` refer to data values
+                    on the x axis or a fraction of the plot area's
+                    width (`xref` set to "paper"). If set to
+                    "pixel", `xanchor` specifies the x position in
+                    terms of data or plot fraction but `x0`, `x1`
+                    and x coordinates within `path` are pixels
+                    relative to `xanchor`. This way, the shape can
+                    have a fixed width while maintaining a position
+                    relative to data or plot fraction.
+                y0
+                    Sets the shape's starting y position. See
+                    `type` and `ysizemode` for more info.
+                y1
+                    Sets the shape's end y position. See `type` and
+                    `ysizemode` for more info.
+                yanchor
+                    Only relevant in conjunction with `ysizemode`
+                    set to "pixel". Specifies the anchor point on
+                    the y axis to which `y0`, `y1` and y
+                    coordinates within `path` are relative to. E.g.
+                    useful to attach a pixel sized shape to a
+                    certain data value. No effect when `ysizemode`
+                    not set to "pixel".
+                yref
+                    Sets the annotation's y coordinate axis. If set
+                    to an y axis id (e.g. "y" or "y2"), the `y`
+                    position refers to an y coordinate If set to
+                    "paper", the `y` position refers to the
+                    distance from the bottom of the plotting area
+                    in normalized coordinates where 0 (1)
+                    corresponds to the bottom (top).
+                ysizemode
+                    Sets the shapes's sizing mode along the y axis.
+                    If set to "scaled", `y0`, `y1` and y
+                    coordinates within `path` refer to data values
+                    on the y axis or a fraction of the plot area's
+                    height (`yref` set to "paper"). If set to
+                    "pixel", `yanchor` specifies the y position in
+                    terms of data or plot fraction but `y0`, `y1`
+                    and y coordinates within `path` are pixels
+                    relative to `yanchor`. This way, the shape can
+                    have a fixed height while maintaining a
+                    position relative to data or plot fraction.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.Shape]
+        """
+        return self["shapes"]
+
+    @shapes.setter
+    def shapes(self, val):
+        self["shapes"] = val
+
+    # shapedefaults
+    # -------------
+    @property
+    def shapedefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.shapedefaults), sets the default
+        property values to use for elements of layout.shapes
+    
+        The 'shapedefaults' property is an instance of Shape
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Shape`
+          - A dict of string/value properties that will be passed
+            to the Shape constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Shape
+        """
+        return self["shapedefaults"]
+
+    @shapedefaults.setter
+    def shapedefaults(self, val):
+        self["shapedefaults"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not a legend is drawn. Default is `true`
+        if there is a trace to show and any of these: a) Two or more
+        traces would by default be shown in the legend. b) One pie
+        trace is shown in the legend. c) One trace is explicitly given
+        with `showlegend: true`.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # sliders
+    # -------
+    @property
+    def sliders(self):
+        """
+        The 'sliders' property is a tuple of instances of
+        Slider that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.Slider
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Slider constructor
+    
+            Supported dict properties:
+                
+                active
+                    Determines which button (by index starting from
+                    0) is considered active.
+                activebgcolor
+                    Sets the background color of the slider grip
+                    while dragging.
+                bgcolor
+                    Sets the background color of the slider.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    slider.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the slider.
+                currentvalue
+                    :class:`plotly.graph_objects.layout.slider.Curr
+                    entvalue` instance or dict with compatible
+                    properties
+                font
+                    Sets the font of the slider step labels.
+                len
+                    Sets the length of the slider This measure
+                    excludes the padding of both ends. That is, the
+                    slider's length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this slider length is set in
+                    units of plot "fraction" or in *pixels. Use
+                    `len` to set the value.
+                minorticklen
+                    Sets the length in pixels of minor step tick
+                    marks
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                pad
+                    Set the padding of the slider component along
+                    each side.
+                steps
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    slider.Step` instances or dicts with compatible
+                    properties
+                stepdefaults
+                    When used in a template (as
+                    layout.template.layout.slider.stepdefaults),
+                    sets the default property values to use for
+                    elements of layout.slider.steps
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                tickcolor
+                    Sets the color of the border enclosing the
+                    slider.
+                ticklen
+                    Sets the length in pixels of step tick marks
+                tickwidth
+                    Sets the tick width (in px).
+                transition
+                    :class:`plotly.graph_objects.layout.slider.Tran
+                    sition` instance or dict with compatible
+                    properties
+                visible
+                    Determines whether or not the slider is
+                    visible.
+                x
+                    Sets the x position (in normalized coordinates)
+                    of the slider.
+                xanchor
+                    Sets the slider's horizontal position anchor.
+                    This anchor binds the `x` position to the
+                    "left", "center" or "right" of the range
+                    selector.
+                y
+                    Sets the y position (in normalized coordinates)
+                    of the slider.
+                yanchor
+                    Sets the slider's vertical position anchor This
+                    anchor binds the `y` position to the "top",
+                    "middle" or "bottom" of the range selector.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.Slider]
+        """
+        return self["sliders"]
+
+    @sliders.setter
+    def sliders(self, val):
+        self["sliders"] = val
+
+    # sliderdefaults
+    # --------------
+    @property
+    def sliderdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.sliderdefaults), sets the default
+        property values to use for elements of layout.sliders
+    
+        The 'sliderdefaults' property is an instance of Slider
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Slider`
+          - A dict of string/value properties that will be passed
+            to the Slider constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Slider
+        """
+        return self["sliderdefaults"]
+
+    @sliderdefaults.setter
+    def sliderdefaults(self, val):
+        self["sliderdefaults"] = val
+
+    # spikedistance
+    # -------------
+    @property
+    def spikedistance(self):
+        """
+        Sets the default distance (in pixels) to look for data to draw
+        spikelines to (-1 means no cutoff, 0 means no looking for
+        data). As with hoverdistance, distance does not apply to area-
+        like objects. In addition, some objects can be hovered on but
+        will not generate spikelines, such as scatter fills.
+    
+        The 'spikedistance' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["spikedistance"]
+
+    @spikedistance.setter
+    def spikedistance(self, val):
+        self["spikedistance"] = val
+
+    # sunburstcolorway
+    # ----------------
+    @property
+    def sunburstcolorway(self):
+        """
+        Sets the default sunburst slice colors. Defaults to the main
+        `colorway` used for trace colors. If you specify a new list
+        here it can still be extended with lighter and darker colors,
+        see `extendsunburstcolors`.
+    
+        The 'sunburstcolorway' property is a colorlist that may be specified
+        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
+        color strings
+
+        Returns
+        -------
+        list
+        """
+        return self["sunburstcolorway"]
+
+    @sunburstcolorway.setter
+    def sunburstcolorway(self, val):
+        self["sunburstcolorway"] = val
+
+    # template
+    # --------
+    @property
+    def template(self):
+        """
+        Default attributes to be applied to the plot. This should be a
+        dict with format: `{'layout': layoutTemplate, 'data':
+        {trace_type: [traceTemplate, ...], ...}}` where
+        `layoutTemplate` is a dict matching the structure of
+        `figure.layout` and `traceTemplate` is a dict matching the
+        structure of the trace with type `trace_type` (e.g. 'scatter').
+        Alternatively, this may be specified as an instance of
+        plotly.graph_objs.layout.Template.  Trace templates are applied
+        cyclically to traces of each type. Container arrays (eg
+        `annotations`) have special handling: An object ending in
+        `defaults` (eg `annotationdefaults`) is applied to each array
+        item. But if an item has a `templateitemname` key we look in
+        the template array for an item with matching `name` and apply
+        that instead. If no matching `name` is found we mark the item
+        invisible. Any named template item not referenced is appended
+        to the end of the array, so this can be used to add a watermark
+        annotation or a logo image, for example. To omit one of these
+        items on the plot, make an item with matching
+        `templateitemname` and `visible: false`.
+    
+        The 'template' property is an instance of Template
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Template`
+          - A dict of string/value properties that will be passed
+            to the Template constructor
+    
+            Supported dict properties:
+                
+                data
+                    :class:`plotly.graph_objects.layout.template.Da
+                    ta` instance or dict with compatible properties
+                layout
+                    :class:`plotly.graph_objects.Layout` instance
+                    or dict with compatible properties
+    
+          - The name of a registered template where current registered templates
+            are stored in the plotly.io.templates configuration object. The names
+            of all registered templates can be retrieved with:
+                >>> import plotly.io as pio
+                >>> list(pio.templates)  # doctest: +ELLIPSIS
+                ['ggplot2', 'seaborn', 'simple_white', 'plotly', 'plotly_white', ...]
+    
+          - A string containing multiple registered template names, joined on '+'
+            characters (e.g. 'template1+template2'). In this case the resulting
+            template is computed by merging together the collection of registered 
+            templates
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Template
+        """
+        return self["template"]
+
+    @template.setter
+    def template(self, val):
+        self["template"] = val
+
+    # ternary
+    # -------
+    @property
+    def ternary(self):
+        """
+        The 'ternary' property is an instance of Ternary
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Ternary`
+          - A dict of string/value properties that will be passed
+            to the Ternary constructor
+    
+            Supported dict properties:
+                
+                aaxis
+                    :class:`plotly.graph_objects.layout.ternary.Aax
+                    is` instance or dict with compatible properties
+                baxis
+                    :class:`plotly.graph_objects.layout.ternary.Bax
+                    is` instance or dict with compatible properties
+                bgcolor
+                    Set the background color of the subplot
+                caxis
+                    :class:`plotly.graph_objects.layout.ternary.Cax
+                    is` instance or dict with compatible properties
+                domain
+                    :class:`plotly.graph_objects.layout.ternary.Dom
+                    ain` instance or dict with compatible
+                    properties
+                sum
+                    The number each triplet should sum to, and the
+                    maximum range of each axis
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `min` and `title`, if not overridden in
+                    the individual axes. Defaults to
+                    `layout.uirevision`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Ternary
+        """
+        return self["ternary"]
+
+    @ternary.setter
+    def ternary(self, val):
+        self["ternary"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets the title font. Note that the title's font
+                    used to be customized by the now deprecated
+                    `titlefont` attribute.
+                pad
+                    Sets the padding of the title. Each padding
+                    value only applies when the corresponding
+                    `xanchor`/`yanchor` value is set accordingly.
+                    E.g. for left padding to take effect, `xanchor`
+                    must be set to "left". The same rule applies if
+                    `xanchor`/`yanchor` is determined
+                    automatically. Padding is muted if the
+                    respective anchor value is "middle*/*center".
+                text
+                    Sets the plot's title. Note that before the
+                    existence of `title.text`, the title's contents
+                    used to be defined as the `title` attribute
+                    itself. This behavior has been deprecated.
+                x
+                    Sets the x position with respect to `xref` in
+                    normalized coordinates from 0 (left) to 1
+                    (right).
+                xanchor
+                    Sets the title's horizontal alignment with
+                    respect to its x position. "left" means that
+                    the title starts at x, "right" means that the
+                    title ends at x and "center" means that the
+                    title's center is at x. "auto" divides `xref`
+                    by three and calculates the `xanchor` value
+                    automatically based on the value of `x`.
+                xref
+                    Sets the container `x` refers to. "container"
+                    spans the entire `width` of the plot. "paper"
+                    refers to the width of the plotting area only.
+                y
+                    Sets the y position with respect to `yref` in
+                    normalized coordinates from 0 (bottom) to 1
+                    (top). "auto" places the baseline of the title
+                    onto the vertical center of the top margin.
+                yanchor
+                    Sets the title's vertical alignment with
+                    respect to its y position. "top" means that the
+                    title's cap line is at y, "bottom" means that
+                    the title's baseline is at y and "middle" means
+                    that the title's midline is at y. "auto"
+                    divides `yref` by three and calculates the
+                    `yanchor` value automatically based on the
+                    value of `y`.
+                yref
+                    Sets the container `y` refers to. "container"
+                    spans the entire `height` of the plot. "paper"
+                    refers to the height of the plotting area only.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.title.font instead. Sets the
+        title font. Note that the title's font used to be customized by
+        the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # transition
+    # ----------
+    @property
+    def transition(self):
+        """
+        Sets transition options used during Plotly.react updates.
+    
+        The 'transition' property is an instance of Transition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Transition`
+          - A dict of string/value properties that will be passed
+            to the Transition constructor
+    
+            Supported dict properties:
+                
+                duration
+                    The duration of the transition, in
+                    milliseconds. If equal to zero, updates are
+                    synchronous.
+                easing
+                    The easing function used for the transition
+                ordering
+                    Determines whether the figure's layout or
+                    traces smoothly transitions during updates that
+                    make both traces and layout change.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Transition
+        """
+        return self["transition"]
+
+    @transition.setter
+    def transition(self, val):
+        self["transition"] = val
+
+    # treemapcolorway
+    # ---------------
+    @property
+    def treemapcolorway(self):
+        """
+        Sets the default treemap slice colors. Defaults to the main
+        `colorway` used for trace colors. If you specify a new list
+        here it can still be extended with lighter and darker colors,
+        see `extendtreemapcolors`.
+    
+        The 'treemapcolorway' property is a colorlist that may be specified
+        as a tuple, list, one-dimensional numpy array, or pandas Series of valid
+        color strings
+
+        Returns
+        -------
+        list
+        """
+        return self["treemapcolorway"]
+
+    @treemapcolorway.setter
+    def treemapcolorway(self, val):
+        self["treemapcolorway"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Used to allow user interactions with the plot to persist after
+        `Plotly.react` calls that are unaware of these interactions. If
+        `uirevision` is omitted, or if it is given and it changed from
+        the previous `Plotly.react` call, the exact new figure is used.
+        If `uirevision` is truthy and did NOT change, any attribute
+        that has been affected by user interactions and did not receive
+        a different value in the new figure will keep the interaction
+        value. `layout.uirevision` attribute serves as the default for
+        `uirevision` attributes in various sub-containers. For finer
+        control you can set these sub-attributes directly. For example,
+        if your app separately controls the data on the x and y axes
+        you might set `xaxis.uirevision=*time*` and
+        `yaxis.uirevision=*cost*`. Then if only the y data is changed,
+        you can update `yaxis.uirevision=*quantity*` and the y axis
+        range will reset but the x axis range will retain any user-
+        driven zoom.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # uniformtext
+    # -----------
+    @property
+    def uniformtext(self):
+        """
+        The 'uniformtext' property is an instance of Uniformtext
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Uniformtext`
+          - A dict of string/value properties that will be passed
+            to the Uniformtext constructor
+    
+            Supported dict properties:
+                
+                minsize
+                    Sets the minimum text size between traces of
+                    the same type.
+                mode
+                    Determines how the font size for various text
+                    elements are uniformed between each trace type.
+                    If the computed text sizes were smaller than
+                    the minimum size defined by
+                    `uniformtext.minsize` using "hide" option hides
+                    the text; and using "show" option shows the
+                    text without further downscaling. Please note
+                    that if the size defined by `minsize` is
+                    greater than the font size defined by trace,
+                    then the `minsize` is used.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Uniformtext
+        """
+        return self["uniformtext"]
+
+    @uniformtext.setter
+    def uniformtext(self, val):
+        self["uniformtext"] = val
+
+    # updatemenus
+    # -----------
+    @property
+    def updatemenus(self):
+        """
+        The 'updatemenus' property is a tuple of instances of
+        Updatemenu that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.Updatemenu
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Updatemenu constructor
+    
+            Supported dict properties:
+                
+                active
+                    Determines which button (by index starting from
+                    0) is considered active.
+                bgcolor
+                    Sets the background color of the update menu
+                    buttons.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    update menu.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the update menu.
+                buttons
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    updatemenu.Button` instances or dicts with
+                    compatible properties
+                buttondefaults
+                    When used in a template (as layout.template.lay
+                    out.updatemenu.buttondefaults), sets the
+                    default property values to use for elements of
+                    layout.updatemenu.buttons
+                direction
+                    Determines the direction in which the buttons
+                    are laid out, whether in a dropdown menu or a
+                    row/column of buttons. For `left` and `up`, the
+                    buttons will still appear in left-to-right or
+                    top-to-bottom order respectively.
+                font
+                    Sets the font of the update menu button text.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                pad
+                    Sets the padding around the buttons or dropdown
+                    menu.
+                showactive
+                    Highlights active dropdown item or active
+                    button if true.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                type
+                    Determines whether the buttons are accessible
+                    via a dropdown menu or whether the buttons are
+                    stacked horizontally or vertically
+                visible
+                    Determines whether or not the update menu is
+                    visible.
+                x
+                    Sets the x position (in normalized coordinates)
+                    of the update menu.
+                xanchor
+                    Sets the update menu's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the range
+                    selector.
+                y
+                    Sets the y position (in normalized coordinates)
+                    of the update menu.
+                yanchor
+                    Sets the update menu's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the range
+                    selector.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.Updatemenu]
+        """
+        return self["updatemenus"]
+
+    @updatemenus.setter
+    def updatemenus(self, val):
+        self["updatemenus"] = val
+
+    # updatemenudefaults
+    # ------------------
+    @property
+    def updatemenudefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.updatemenudefaults), sets the default
+        property values to use for elements of layout.updatemenus
+    
+        The 'updatemenudefaults' property is an instance of Updatemenu
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.Updatemenu`
+          - A dict of string/value properties that will be passed
+            to the Updatemenu constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.Updatemenu
+        """
+        return self["updatemenudefaults"]
+
+    @updatemenudefaults.setter
+    def updatemenudefaults(self, val):
+        self["updatemenudefaults"] = val
+
+    # violingap
+    # ---------
+    @property
+    def violingap(self):
+        """
+        Sets the gap (in plot fraction) between violins of adjacent
+        location coordinates. Has no effect on traces that have "width"
+        set.
+    
+        The 'violingap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["violingap"]
+
+    @violingap.setter
+    def violingap(self, val):
+        self["violingap"] = val
+
+    # violingroupgap
+    # --------------
+    @property
+    def violingroupgap(self):
+        """
+        Sets the gap (in plot fraction) between violins of the same
+        location coordinate. Has no effect on traces that have "width"
+        set.
+    
+        The 'violingroupgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["violingroupgap"]
+
+    @violingroupgap.setter
+    def violingroupgap(self, val):
+        self["violingroupgap"] = val
+
+    # violinmode
+    # ----------
+    @property
+    def violinmode(self):
+        """
+        Determines how violins at the same location coordinate are
+        displayed on the graph. If "group", the violins are plotted
+        next to one another centered around the shared location. If
+        "overlay", the violins are plotted over one another, you might
+        need to set "opacity" to see them multiple violins. Has no
+        effect on traces that have "width" set.
+    
+        The 'violinmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['group', 'overlay']
+
+        Returns
+        -------
+        Any
+        """
+        return self["violinmode"]
+
+    @violinmode.setter
+    def violinmode(self, val):
+        self["violinmode"] = val
+
+    # waterfallgap
+    # ------------
+    @property
+    def waterfallgap(self):
+        """
+        Sets the gap (in plot fraction) between bars of adjacent
+        location coordinates.
+    
+        The 'waterfallgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["waterfallgap"]
+
+    @waterfallgap.setter
+    def waterfallgap(self, val):
+        self["waterfallgap"] = val
+
+    # waterfallgroupgap
+    # -----------------
+    @property
+    def waterfallgroupgap(self):
+        """
+        Sets the gap (in plot fraction) between bars of the same
+        location coordinate.
+    
+        The 'waterfallgroupgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["waterfallgroupgap"]
+
+    @waterfallgroupgap.setter
+    def waterfallgroupgap(self, val):
+        self["waterfallgroupgap"] = val
+
+    # waterfallmode
+    # -------------
+    @property
+    def waterfallmode(self):
+        """
+        Determines how bars at the same location coordinate are
+        displayed on the graph. With "group", the bars are plotted next
+        to one another centered around the shared location. With
+        "overlay", the bars are plotted over one another, you might
+        need to an "opacity" to see multiple bars.
+    
+        The 'waterfallmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['group', 'overlay']
+
+        Returns
+        -------
+        Any
+        """
+        return self["waterfallmode"]
+
+    @waterfallmode.setter
+    def waterfallmode(self, val):
+        self["waterfallmode"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the plot's width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [10, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        The 'xaxis' property is an instance of XAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.XAxis`
+          - A dict of string/value properties that will be passed
+            to the XAxis constructor
+    
+            Supported dict properties:
+                
+                anchor
+                    If set to an opposite-letter axis id (e.g.
+                    `x2`, `y`), this axis is bound to the
+                    corresponding opposite-letter axis. If set to
+                    "free", this axis' position is determined by
+                    `position`.
+                automargin
+                    Determines whether long tick labels
+                    automatically grow the figure margins.
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                calendar
+                    Sets the calendar system to use for `range` and
+                    `tick0` if this is a date axis. This does not
+                    set the calendar for interpreting data on this
+                    axis, that's specified in the trace or via the
+                    global `layout.calendar`
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                constrain
+                    If this axis needs to be compressed (either due
+                    to its own `scaleanchor` and `scaleratio` or
+                    those of the other axis), determines how that
+                    happens: by increasing the "range" (default),
+                    or by decreasing the "domain".
+                constraintoward
+                    If this axis needs to be compressed (either due
+                    to its own `scaleanchor` and `scaleratio` or
+                    those of the other axis), determines which
+                    direction we push the originally specified plot
+                    area. Options are "left", "center" (default),
+                    and "right" for x axes, and "top", "middle"
+                    (default), and "bottom" for y axes.
+                dividercolor
+                    Sets the color of the dividers Only has an
+                    effect on "multicategory" axes.
+                dividerwidth
+                    Sets the width (in px) of the dividers Only has
+                    an effect on "multicategory" axes.
+                domain
+                    Sets the domain of this axis (in plot
+                    fraction).
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                fixedrange
+                    Determines whether or not this axis is zoom-
+                    able. If true, then zoom is disabled.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                matches
+                    If set to another axis id (e.g. `x2`, `y`), the
+                    range of this axis will match the range of the
+                    corresponding axis in data-coordinates space.
+                    Moreover, matching axes share auto-range
+                    values, category lists and histogram auto-bins.
+                    Note that setting axes simultaneously in both a
+                    `scaleanchor` and a `matches` constraint is
+                    currently forbidden. Moreover, note that
+                    matching axes must have the same `type`.
+                mirror
+                    Determines if the axis lines or/and ticks are
+                    mirrored to the opposite side of the plotting
+                    area. If True, the axis lines are mirrored. If
+                    "ticks", the axis lines and ticks are mirrored.
+                    If False, mirroring is disable. If "all", axis
+                    lines are mirrored on all shared-axes subplots.
+                    If "allticks", axis lines and ticks are
+                    mirrored on all shared-axes subplots.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                overlaying
+                    If set a same-letter axis id, this axis is
+                    overlaid on top of the corresponding same-
+                    letter axis, with traces and axes visible for
+                    both axes. If False, this axis does not overlay
+                    any same-letter axes. In this case, for axes
+                    with overlapping domains only the highest-
+                    numbered axis will be visible.
+                position
+                    Sets the position of this axis in the plotting
+                    space (in normalized coordinates). Only has an
+                    effect if `anchor` is set to "free".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangebreaks
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    xaxis.Rangebreak` instances or dicts with
+                    compatible properties
+                rangebreakdefaults
+                    When used in a template (as layout.template.lay
+                    out.xaxis.rangebreakdefaults), sets the default
+                    property values to use for elements of
+                    layout.xaxis.rangebreaks
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data. Applies
+                    only to linear axes.
+                rangeselector
+                    :class:`plotly.graph_objects.layout.xaxis.Range
+                    selector` instance or dict with compatible
+                    properties
+                rangeslider
+                    :class:`plotly.graph_objects.layout.xaxis.Range
+                    slider` instance or dict with compatible
+                    properties
+                scaleanchor
+                    If set to another axis id (e.g. `x2`, `y`), the
+                    range of this axis changes together with the
+                    range of the corresponding axis such that the
+                    scale of pixels per unit is in a constant
+                    ratio. Both axes are still zoomable, but when
+                    you zoom one, the other will zoom the same
+                    amount, keeping a fixed midpoint. `constrain`
+                    and `constraintoward` determine how we enforce
+                    the constraint. You can chain these, ie `yaxis:
+                    {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
+                    but you can only link axes of the same `type`.
+                    The linked axis can have the opposite letter
+                    (to constrain the aspect ratio) or the same
+                    letter (to match scales across subplots). Loops
+                    (`yaxis: {scaleanchor: *x*}, xaxis:
+                    {scaleanchor: *y*}` or longer) are redundant
+                    and the last constraint encountered will be
+                    ignored to avoid possible inconsistent
+                    constraints via `scaleratio`. Note that setting
+                    axes simultaneously in both a `scaleanchor` and
+                    a `matches` constraint is currently forbidden.
+                scaleratio
+                    If this axis is linked to another by
+                    `scaleanchor`, this determines the pixel to
+                    unit scale ratio. For example, if this value is
+                    10, then every unit on this axis spans 10 times
+                    the number of pixels as a unit on the linked
+                    axis. Use this for example to create an
+                    elevation profile where the vertical scale is
+                    exaggerated a fixed amount with respect to the
+                    horizontal.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showdividers
+                    Determines whether or not a dividers are drawn
+                    between the category levels of this axis. Only
+                    has an effect on "multicategory" axes.
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showspikes
+                    Determines whether or not spikes (aka
+                    droplines) are drawn for this axis. Note: This
+                    only takes affect when hovermode = closest
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                side
+                    Determines whether a x (y) axis is positioned
+                    at the "bottom" ("left") or "top" ("right") of
+                    the plotting area.
+                spikecolor
+                    Sets the spike color. If undefined, will use
+                    the series color
+                spikedash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                spikemode
+                    Determines the drawing mode for the spike line
+                    If "toaxis", the line is drawn from the data
+                    point to the axis the  series is plotted on. If
+                    "across", the line is drawn across the entire
+                    plot area, and supercedes "toaxis". If
+                    "marker", then a marker dot is drawn on the
+                    axis the series is plotted on
+                spikesnap
+                    Determines whether spikelines are stuck to the
+                    cursor or to the closest datapoints.
+                spikethickness
+                    Sets the width (in px) of the zero line.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    xaxis.Tickformatstop` instances or dicts with
+                    compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.xaxis.tickformatstopdefaults), sets the
+                    default property values to use for elements of
+                    layout.xaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                tickson
+                    Determines where ticks and grid lines are drawn
+                    with respect to their corresponding tick
+                    labels. Only has an effect for axes of `type`
+                    "category" or "multicategory". When set to
+                    "boundaries", ticks and grid lines are drawn
+                    half a category to the left/bottom of labels.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.xaxis.Title
+                    ` instance or dict with compatible properties
+                titlefont
+                    Deprecated: Please use layout.xaxis.title.font
+                    instead. Sets this axis' title font. Note that
+                    the title's font used to be customized by the
+                    now deprecated `titlefont` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `range`, `autorange`, and `title` if in
+                    `editable: true` configuration. Defaults to
+                    `layout.uirevision`.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+                zeroline
+                    Determines whether or not a line is drawn at
+                    along the 0 value of this axis. If True, the
+                    zero line is drawn on top of the grid lines.
+                zerolinecolor
+                    Sets the line color of the zero line.
+                zerolinewidth
+                    Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.XAxis
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        The 'yaxis' property is an instance of YAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.YAxis`
+          - A dict of string/value properties that will be passed
+            to the YAxis constructor
+    
+            Supported dict properties:
+                
+                anchor
+                    If set to an opposite-letter axis id (e.g.
+                    `x2`, `y`), this axis is bound to the
+                    corresponding opposite-letter axis. If set to
+                    "free", this axis' position is determined by
+                    `position`.
+                automargin
+                    Determines whether long tick labels
+                    automatically grow the figure margins.
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                calendar
+                    Sets the calendar system to use for `range` and
+                    `tick0` if this is a date axis. This does not
+                    set the calendar for interpreting data on this
+                    axis, that's specified in the trace or via the
+                    global `layout.calendar`
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                constrain
+                    If this axis needs to be compressed (either due
+                    to its own `scaleanchor` and `scaleratio` or
+                    those of the other axis), determines how that
+                    happens: by increasing the "range" (default),
+                    or by decreasing the "domain".
+                constraintoward
+                    If this axis needs to be compressed (either due
+                    to its own `scaleanchor` and `scaleratio` or
+                    those of the other axis), determines which
+                    direction we push the originally specified plot
+                    area. Options are "left", "center" (default),
+                    and "right" for x axes, and "top", "middle"
+                    (default), and "bottom" for y axes.
+                dividercolor
+                    Sets the color of the dividers Only has an
+                    effect on "multicategory" axes.
+                dividerwidth
+                    Sets the width (in px) of the dividers Only has
+                    an effect on "multicategory" axes.
+                domain
+                    Sets the domain of this axis (in plot
+                    fraction).
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                fixedrange
+                    Determines whether or not this axis is zoom-
+                    able. If true, then zoom is disabled.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                matches
+                    If set to another axis id (e.g. `x2`, `y`), the
+                    range of this axis will match the range of the
+                    corresponding axis in data-coordinates space.
+                    Moreover, matching axes share auto-range
+                    values, category lists and histogram auto-bins.
+                    Note that setting axes simultaneously in both a
+                    `scaleanchor` and a `matches` constraint is
+                    currently forbidden. Moreover, note that
+                    matching axes must have the same `type`.
+                mirror
+                    Determines if the axis lines or/and ticks are
+                    mirrored to the opposite side of the plotting
+                    area. If True, the axis lines are mirrored. If
+                    "ticks", the axis lines and ticks are mirrored.
+                    If False, mirroring is disable. If "all", axis
+                    lines are mirrored on all shared-axes subplots.
+                    If "allticks", axis lines and ticks are
+                    mirrored on all shared-axes subplots.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                overlaying
+                    If set a same-letter axis id, this axis is
+                    overlaid on top of the corresponding same-
+                    letter axis, with traces and axes visible for
+                    both axes. If False, this axis does not overlay
+                    any same-letter axes. In this case, for axes
+                    with overlapping domains only the highest-
+                    numbered axis will be visible.
+                position
+                    Sets the position of this axis in the plotting
+                    space (in normalized coordinates). Only has an
+                    effect if `anchor` is set to "free".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangebreaks
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    yaxis.Rangebreak` instances or dicts with
+                    compatible properties
+                rangebreakdefaults
+                    When used in a template (as layout.template.lay
+                    out.yaxis.rangebreakdefaults), sets the default
+                    property values to use for elements of
+                    layout.yaxis.rangebreaks
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data. Applies
+                    only to linear axes.
+                scaleanchor
+                    If set to another axis id (e.g. `x2`, `y`), the
+                    range of this axis changes together with the
+                    range of the corresponding axis such that the
+                    scale of pixels per unit is in a constant
+                    ratio. Both axes are still zoomable, but when
+                    you zoom one, the other will zoom the same
+                    amount, keeping a fixed midpoint. `constrain`
+                    and `constraintoward` determine how we enforce
+                    the constraint. You can chain these, ie `yaxis:
+                    {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
+                    but you can only link axes of the same `type`.
+                    The linked axis can have the opposite letter
+                    (to constrain the aspect ratio) or the same
+                    letter (to match scales across subplots). Loops
+                    (`yaxis: {scaleanchor: *x*}, xaxis:
+                    {scaleanchor: *y*}` or longer) are redundant
+                    and the last constraint encountered will be
+                    ignored to avoid possible inconsistent
+                    constraints via `scaleratio`. Note that setting
+                    axes simultaneously in both a `scaleanchor` and
+                    a `matches` constraint is currently forbidden.
+                scaleratio
+                    If this axis is linked to another by
+                    `scaleanchor`, this determines the pixel to
+                    unit scale ratio. For example, if this value is
+                    10, then every unit on this axis spans 10 times
+                    the number of pixels as a unit on the linked
+                    axis. Use this for example to create an
+                    elevation profile where the vertical scale is
+                    exaggerated a fixed amount with respect to the
+                    horizontal.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showdividers
+                    Determines whether or not a dividers are drawn
+                    between the category levels of this axis. Only
+                    has an effect on "multicategory" axes.
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showspikes
+                    Determines whether or not spikes (aka
+                    droplines) are drawn for this axis. Note: This
+                    only takes affect when hovermode = closest
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                side
+                    Determines whether a x (y) axis is positioned
+                    at the "bottom" ("left") or "top" ("right") of
+                    the plotting area.
+                spikecolor
+                    Sets the spike color. If undefined, will use
+                    the series color
+                spikedash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                spikemode
+                    Determines the drawing mode for the spike line
+                    If "toaxis", the line is drawn from the data
+                    point to the axis the  series is plotted on. If
+                    "across", the line is drawn across the entire
+                    plot area, and supercedes "toaxis". If
+                    "marker", then a marker dot is drawn on the
+                    axis the series is plotted on
+                spikesnap
+                    Determines whether spikelines are stuck to the
+                    cursor or to the closest datapoints.
+                spikethickness
+                    Sets the width (in px) of the zero line.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    yaxis.Tickformatstop` instances or dicts with
+                    compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.yaxis.tickformatstopdefaults), sets the
+                    default property values to use for elements of
+                    layout.yaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                tickson
+                    Determines where ticks and grid lines are drawn
+                    with respect to their corresponding tick
+                    labels. Only has an effect for axes of `type`
+                    "category" or "multicategory". When set to
+                    "boundaries", ticks and grid lines are drawn
+                    half a category to the left/bottom of labels.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.yaxis.Title
+                    ` instance or dict with compatible properties
+                titlefont
+                    Deprecated: Please use layout.yaxis.title.font
+                    instead. Sets this axis' title font. Note that
+                    the title's font used to be customized by the
+                    now deprecated `titlefont` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `range`, `autorange`, and `title` if in
+                    `editable: true` configuration. Defaults to
+                    `layout.uirevision`.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+                zeroline
+                    Determines whether or not a line is drawn at
+                    along the 0 value of this axis. If True, the
+                    zero line is drawn on top of the grid lines.
+                zerolinecolor
+                    Sets the line color of the zero line.
+                zerolinewidth
+                    Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.YAxis
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        angularaxis
+            :class:`plotly.graph_objects.layout.AngularAxis`
+            instance or dict with compatible properties
+        annotations
+            A tuple of
+            :class:`plotly.graph_objects.layout.Annotation`
+            instances or dicts with compatible properties
+        annotationdefaults
+            When used in a template (as
+            layout.template.layout.annotationdefaults), sets the
+            default property values to use for elements of
+            layout.annotations
+        autosize
+            Determines whether or not a layout width or height that
+            has been left undefined by the user is initialized on
+            each relayout. Note that, regardless of this attribute,
+            an undefined layout width or height is always
+            initialized on the first call to plot.
+        bargap
+            Sets the gap (in plot fraction) between bars of
+            adjacent location coordinates.
+        bargroupgap
+            Sets the gap (in plot fraction) between bars of the
+            same location coordinate.
+        barmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "stack", the bars are
+            stacked on top of one another With "relative", the bars
+            are stacked on top of one another, with negative values
+            below the axis, positive values above With "group", the
+            bars are plotted next to one another centered around
+            the shared location. With "overlay", the bars are
+            plotted over one another, you might need to an
+            "opacity" to see multiple bars.
+        barnorm
+            Sets the normalization for bar traces on the graph.
+            With "fraction", the value of each bar is divided by
+            the sum of all values at that location coordinate.
+            "percent" is the same but multiplied by 100 to show
+            percentages.
+        boxgap
+            Sets the gap (in plot fraction) between boxes of
+            adjacent location coordinates. Has no effect on traces
+            that have "width" set.
+        boxgroupgap
+            Sets the gap (in plot fraction) between boxes of the
+            same location coordinate. Has no effect on traces that
+            have "width" set.
+        boxmode
+            Determines how boxes at the same location coordinate
+            are displayed on the graph. If "group", the boxes are
+            plotted next to one another centered around the shared
+            location. If "overlay", the boxes are plotted over one
+            another, you might need to set "opacity" to see them
+            multiple boxes. Has no effect on traces that have
+            "width" set.
+        calendar
+            Sets the default calendar system to use for
+            interpreting and displaying dates throughout the plot.
+        clickmode
+            Determines the mode of single click interactions.
+            "event" is the default value and emits the
+            `plotly_click` event. In addition this mode emits the
+            `plotly_selected` event in drag modes "lasso" and
+            "select", but with no event data attached (kept for
+            compatibility reasons). The "select" flag enables
+            selecting single data points via click. This mode also
+            supports persistent selections, meaning that pressing
+            Shift while clicking, adds to / subtracts from an
+            existing selection. "select" with `hovermode`: "x" can
+            be confusing, consider explicitly setting `hovermode`:
+            "closest" when using this feature. Selection events are
+            sent accordingly as long as "event" flag is set as
+            well. When the "event" flag is missing, `plotly_click`
+            and `plotly_selected` events are not fired.
+        coloraxis
+            :class:`plotly.graph_objects.layout.Coloraxis` instance
+            or dict with compatible properties
+        colorscale
+            :class:`plotly.graph_objects.layout.Colorscale`
+            instance or dict with compatible properties
+        colorway
+            Sets the default trace colors.
+        datarevision
+            If provided, a changed value tells `Plotly.react` that
+            one or more data arrays has changed. This way you can
+            modify arrays in-place rather than making a complete
+            new copy for an incremental change. If NOT provided,
+            `Plotly.react` assumes that data arrays are being
+            treated as immutable, thus any data array with a
+            different identity from its predecessor contains new
+            data.
+        direction
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the direction corresponding to
+            positive angles in legacy polar charts.
+        dragmode
+            Determines the mode of drag interactions. "select" and
+            "lasso" apply only to scatter traces with markers or
+            text. "orbit" and "turntable" apply only to 3D scenes.
+        editrevision
+            Controls persistence of user-driven changes in
+            `editable: true` configuration, other than trace names
+            and axis titles. Defaults to `layout.uirevision`.
+        extendfunnelareacolors
+            If `true`, the funnelarea slice colors (whether given
+            by `funnelareacolorway` or inherited from `colorway`)
+            will be extended to three times its original length by
+            first repeating every color 20% lighter then each color
+            20% darker. This is intended to reduce the likelihood
+            of reusing the same color when you have many slices,
+            but you can set `false` to disable. Colors provided in
+            the trace, using `marker.colors`, are never extended.
+        extendpiecolors
+            If `true`, the pie slice colors (whether given by
+            `piecolorway` or inherited from `colorway`) will be
+            extended to three times its original length by first
+            repeating every color 20% lighter then each color 20%
+            darker. This is intended to reduce the likelihood of
+            reusing the same color when you have many slices, but
+            you can set `false` to disable. Colors provided in the
+            trace, using `marker.colors`, are never extended.
+        extendsunburstcolors
+            If `true`, the sunburst slice colors (whether given by
+            `sunburstcolorway` or inherited from `colorway`) will
+            be extended to three times its original length by first
+            repeating every color 20% lighter then each color 20%
+            darker. This is intended to reduce the likelihood of
+            reusing the same color when you have many slices, but
+            you can set `false` to disable. Colors provided in the
+            trace, using `marker.colors`, are never extended.
+        extendtreemapcolors
+            If `true`, the treemap slice colors (whether given by
+            `treemapcolorway` or inherited from `colorway`) will be
+            extended to three times its original length by first
+            repeating every color 20% lighter then each color 20%
+            darker. This is intended to reduce the likelihood of
+            reusing the same color when you have many slices, but
+            you can set `false` to disable. Colors provided in the
+            trace, using `marker.colors`, are never extended.
+        font
+            Sets the global font. Note that fonts used in traces
+            and other layout components inherit from the global
+            font.
+        funnelareacolorway
+            Sets the default funnelarea slice colors. Defaults to
+            the main `colorway` used for trace colors. If you
+            specify a new list here it can still be extended with
+            lighter and darker colors, see
+            `extendfunnelareacolors`.
+        funnelgap
+            Sets the gap (in plot fraction) between bars of
+            adjacent location coordinates.
+        funnelgroupgap
+            Sets the gap (in plot fraction) between bars of the
+            same location coordinate.
+        funnelmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "stack", the bars are
+            stacked on top of one another With "group", the bars
+            are plotted next to one another centered around the
+            shared location. With "overlay", the bars are plotted
+            over one another, you might need to an "opacity" to see
+            multiple bars.
+        geo
+            :class:`plotly.graph_objects.layout.Geo` instance or
+            dict with compatible properties
+        grid
+            :class:`plotly.graph_objects.layout.Grid` instance or
+            dict with compatible properties
+        height
+            Sets the plot's height (in px).
+        hiddenlabels
+            hiddenlabels is the funnelarea & pie chart analog of
+            visible:'legendonly' but it can contain many labels,
+            and can simultaneously hide slices from several
+            pies/funnelarea charts
+        hiddenlabelssrc
+            Sets the source reference on Chart Studio Cloud for
+            hiddenlabels .
+        hidesources
+            Determines whether or not a text link citing the data
+            source is placed at the bottom-right cored of the
+            figure. Has only an effect only on graphs that have
+            been generated via forked graphs from the Chart Studio
+            Cloud (at https://chart-studio.plotly.com or on-
+            premise).
+        hoverdistance
+            Sets the default distance (in pixels) to look for data
+            to add hover labels (-1 means no cutoff, 0 means no
+            looking for data). This is only a real distance for
+            hovering on point-like objects, like scatter points.
+            For area-like objects (bars, scatter fills, etc)
+            hovering is on inside the area and off outside, but
+            these objects will not supersede hover on point-like
+            objects in case of conflict.
+        hoverlabel
+            :class:`plotly.graph_objects.layout.Hoverlabel`
+            instance or dict with compatible properties
+        hovermode
+            Determines the mode of hover interactions. If
+            "closest", a single hoverlabel will appear for the
+            "closest" point within the `hoverdistance`. If "x" (or
+            "y"), multiple hoverlabels will appear for multiple
+            points at the "closest" x- (or y-) coordinate within
+            the `hoverdistance`, with the caveat that no more than
+            one hoverlabel will appear per trace. If *x unified*
+            (or *y unified*), a single hoverlabel will appear
+            multiple points at the closest x- (or y-) coordinate
+            within the `hoverdistance` with the caveat that no more
+            than one hoverlabel will appear per trace. In this
+            mode, spikelines are enabled by default perpendicular
+            to the specified axis. If false, hover interactions are
+            disabled. If `clickmode` includes the "select" flag,
+            `hovermode` defaults to "closest". If `clickmode` lacks
+            the "select" flag, it defaults to "x" or "y" (depending
+            on the trace's `orientation` value) for plots based on
+            cartesian coordinates. For anything else the default
+            value is "closest".
+        images
+            A tuple of :class:`plotly.graph_objects.layout.Image`
+            instances or dicts with compatible properties
+        imagedefaults
+            When used in a template (as
+            layout.template.layout.imagedefaults), sets the default
+            property values to use for elements of layout.images
+        legend
+            :class:`plotly.graph_objects.layout.Legend` instance or
+            dict with compatible properties
+        mapbox
+            :class:`plotly.graph_objects.layout.Mapbox` instance or
+            dict with compatible properties
+        margin
+            :class:`plotly.graph_objects.layout.Margin` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information that can be used in
+            various `text` attributes. Attributes such as the
+            graph, axis and colorbar `title.text`, annotation
+            `text` `trace.name` in legend items, `rangeselector`,
+            `updatemenus` and `sliders` `label` text all support
+            `meta`. One can access `meta` fields using template
+            strings: `%{meta[i]}` where `i` is the index of the
+            `meta` item in question. `meta` can also be an object
+            for example `{key: value}` which can be accessed
+            %{meta[key]}.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        modebar
+            :class:`plotly.graph_objects.layout.Modebar` instance
+            or dict with compatible properties
+        orientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Rotates the entire polar by the given
+            angle in legacy polar charts.
+        paper_bgcolor
+            Sets the background color of the paper where the graph
+            is drawn.
+        piecolorway
+            Sets the default pie slice colors. Defaults to the main
+            `colorway` used for trace colors. If you specify a new
+            list here it can still be extended with lighter and
+            darker colors, see `extendpiecolors`.
+        plot_bgcolor
+            Sets the background color of the plotting area in-
+            between x and y axes.
+        polar
+            :class:`plotly.graph_objects.layout.Polar` instance or
+            dict with compatible properties
+        radialaxis
+            :class:`plotly.graph_objects.layout.RadialAxis`
+            instance or dict with compatible properties
+        scene
+            :class:`plotly.graph_objects.layout.Scene` instance or
+            dict with compatible properties
+        selectdirection
+            When "dragmode" is set to "select", this limits the
+            selection of the drag to horizontal, vertical or
+            diagonal. "h" only allows horizontal selection, "v"
+            only vertical, "d" only diagonal and "any" sets no
+            limit.
+        selectionrevision
+            Controls persistence of user-driven changes in selected
+            points from all traces.
+        separators
+            Sets the decimal and thousand separators. For example,
+            *. * puts a '.' before decimals and a space between
+            thousands. In English locales, dflt is ".," but other
+            locales may alter this default.
+        shapes
+            A tuple of :class:`plotly.graph_objects.layout.Shape`
+            instances or dicts with compatible properties
+        shapedefaults
+            When used in a template (as
+            layout.template.layout.shapedefaults), sets the default
+            property values to use for elements of layout.shapes
+        showlegend
+            Determines whether or not a legend is drawn. Default is
+            `true` if there is a trace to show and any of these: a)
+            Two or more traces would by default be shown in the
+            legend. b) One pie trace is shown in the legend. c) One
+            trace is explicitly given with `showlegend: true`.
+        sliders
+            A tuple of :class:`plotly.graph_objects.layout.Slider`
+            instances or dicts with compatible properties
+        sliderdefaults
+            When used in a template (as
+            layout.template.layout.sliderdefaults), sets the
+            default property values to use for elements of
+            layout.sliders
+        spikedistance
+            Sets the default distance (in pixels) to look for data
+            to draw spikelines to (-1 means no cutoff, 0 means no
+            looking for data). As with hoverdistance, distance does
+            not apply to area-like objects. In addition, some
+            objects can be hovered on but will not generate
+            spikelines, such as scatter fills.
+        sunburstcolorway
+            Sets the default sunburst slice colors. Defaults to the
+            main `colorway` used for trace colors. If you specify a
+            new list here it can still be extended with lighter and
+            darker colors, see `extendsunburstcolors`.
+        template
+            Default attributes to be applied to the plot. This
+            should be a dict with format: `{'layout':
+            layoutTemplate, 'data': {trace_type: [traceTemplate,
+            ...], ...}}` where `layoutTemplate` is a dict matching
+            the structure of `figure.layout` and `traceTemplate` is
+            a dict matching the structure of the trace with type
+            `trace_type` (e.g. 'scatter'). Alternatively, this may
+            be specified as an instance of
+            plotly.graph_objs.layout.Template.  Trace templates are
+            applied cyclically to traces of each type. Container
+            arrays (eg `annotations`) have special handling: An
+            object ending in `defaults` (eg `annotationdefaults`)
+            is applied to each array item. But if an item has a
+            `templateitemname` key we look in the template array
+            for an item with matching `name` and apply that
+            instead. If no matching `name` is found we mark the
+            item invisible. Any named template item not referenced
+            is appended to the end of the array, so this can be
+            used to add a watermark annotation or a logo image, for
+            example. To omit one of these items on the plot, make
+            an item with matching `templateitemname` and `visible:
+            false`.
+        ternary
+            :class:`plotly.graph_objects.layout.Ternary` instance
+            or dict with compatible properties
+        title
+            :class:`plotly.graph_objects.layout.Title` instance or
+            dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.title.font instead. Sets
+            the title font. Note that the title's font used to be
+            customized by the now deprecated `titlefont` attribute.
+        transition
+            Sets transition options used during Plotly.react
+            updates.
+        treemapcolorway
+            Sets the default treemap slice colors. Defaults to the
+            main `colorway` used for trace colors. If you specify a
+            new list here it can still be extended with lighter and
+            darker colors, see `extendtreemapcolors`.
+        uirevision
+            Used to allow user interactions with the plot to
+            persist after `Plotly.react` calls that are unaware of
+            these interactions. If `uirevision` is omitted, or if
+            it is given and it changed from the previous
+            `Plotly.react` call, the exact new figure is used. If
+            `uirevision` is truthy and did NOT change, any
+            attribute that has been affected by user interactions
+            and did not receive a different value in the new figure
+            will keep the interaction value. `layout.uirevision`
+            attribute serves as the default for `uirevision`
+            attributes in various sub-containers. For finer control
+            you can set these sub-attributes directly. For example,
+            if your app separately controls the data on the x and y
+            axes you might set `xaxis.uirevision=*time*` and
+            `yaxis.uirevision=*cost*`. Then if only the y data is
+            changed, you can update `yaxis.uirevision=*quantity*`
+            and the y axis range will reset but the x axis range
+            will retain any user-driven zoom.
+        uniformtext
+            :class:`plotly.graph_objects.layout.Uniformtext`
+            instance or dict with compatible properties
+        updatemenus
+            A tuple of
+            :class:`plotly.graph_objects.layout.Updatemenu`
+            instances or dicts with compatible properties
+        updatemenudefaults
+            When used in a template (as
+            layout.template.layout.updatemenudefaults), sets the
+            default property values to use for elements of
+            layout.updatemenus
+        violingap
+            Sets the gap (in plot fraction) between violins of
+            adjacent location coordinates. Has no effect on traces
+            that have "width" set.
+        violingroupgap
+            Sets the gap (in plot fraction) between violins of the
+            same location coordinate. Has no effect on traces that
+            have "width" set.
+        violinmode
+            Determines how violins at the same location coordinate
+            are displayed on the graph. If "group", the violins are
+            plotted next to one another centered around the shared
+            location. If "overlay", the violins are plotted over
+            one another, you might need to set "opacity" to see
+            them multiple violins. Has no effect on traces that
+            have "width" set.
+        waterfallgap
+            Sets the gap (in plot fraction) between bars of
+            adjacent location coordinates.
+        waterfallgroupgap
+            Sets the gap (in plot fraction) between bars of the
+            same location coordinate.
+        waterfallmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "group", the bars are
+            plotted next to one another centered around the shared
+            location. With "overlay", the bars are plotted over one
+            another, you might need to an "opacity" to see multiple
+            bars.
+        width
+            Sets the plot's width (in px).
+        xaxis
+            :class:`plotly.graph_objects.layout.XAxis` instance or
+            dict with compatible properties
+        yaxis
+            :class:`plotly.graph_objects.layout.YAxis` instance or
+            dict with compatible properties
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        angularaxis=None,
+        annotations=None,
+        annotationdefaults=None,
+        autosize=None,
+        bargap=None,
+        bargroupgap=None,
+        barmode=None,
+        barnorm=None,
+        boxgap=None,
+        boxgroupgap=None,
+        boxmode=None,
+        calendar=None,
+        clickmode=None,
+        coloraxis=None,
+        colorscale=None,
+        colorway=None,
+        datarevision=None,
+        direction=None,
+        dragmode=None,
+        editrevision=None,
+        extendfunnelareacolors=None,
+        extendpiecolors=None,
+        extendsunburstcolors=None,
+        extendtreemapcolors=None,
+        font=None,
+        funnelareacolorway=None,
+        funnelgap=None,
+        funnelgroupgap=None,
+        funnelmode=None,
+        geo=None,
+        grid=None,
+        height=None,
+        hiddenlabels=None,
+        hiddenlabelssrc=None,
+        hidesources=None,
+        hoverdistance=None,
+        hoverlabel=None,
+        hovermode=None,
+        images=None,
+        imagedefaults=None,
+        legend=None,
+        mapbox=None,
+        margin=None,
+        meta=None,
+        metasrc=None,
+        modebar=None,
+        orientation=None,
+        paper_bgcolor=None,
+        piecolorway=None,
+        plot_bgcolor=None,
+        polar=None,
+        radialaxis=None,
+        scene=None,
+        selectdirection=None,
+        selectionrevision=None,
+        separators=None,
+        shapes=None,
+        shapedefaults=None,
+        showlegend=None,
+        sliders=None,
+        sliderdefaults=None,
+        spikedistance=None,
+        sunburstcolorway=None,
+        template=None,
+        ternary=None,
+        title=None,
+        titlefont=None,
+        transition=None,
+        treemapcolorway=None,
+        uirevision=None,
+        uniformtext=None,
+        updatemenus=None,
+        updatemenudefaults=None,
+        violingap=None,
+        violingroupgap=None,
+        violinmode=None,
+        waterfallgap=None,
+        waterfallgroupgap=None,
+        waterfallmode=None,
+        width=None,
+        xaxis=None,
+        yaxis=None,
+        **kwargs
+    ):
+        """
+        Construct a new Layout object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Layout`
+        angularaxis
+            :class:`plotly.graph_objects.layout.AngularAxis`
+            instance or dict with compatible properties
+        annotations
+            A tuple of
+            :class:`plotly.graph_objects.layout.Annotation`
+            instances or dicts with compatible properties
+        annotationdefaults
+            When used in a template (as
+            layout.template.layout.annotationdefaults), sets the
+            default property values to use for elements of
+            layout.annotations
+        autosize
+            Determines whether or not a layout width or height that
+            has been left undefined by the user is initialized on
+            each relayout. Note that, regardless of this attribute,
+            an undefined layout width or height is always
+            initialized on the first call to plot.
+        bargap
+            Sets the gap (in plot fraction) between bars of
+            adjacent location coordinates.
+        bargroupgap
+            Sets the gap (in plot fraction) between bars of the
+            same location coordinate.
+        barmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "stack", the bars are
+            stacked on top of one another With "relative", the bars
+            are stacked on top of one another, with negative values
+            below the axis, positive values above With "group", the
+            bars are plotted next to one another centered around
+            the shared location. With "overlay", the bars are
+            plotted over one another, you might need to an
+            "opacity" to see multiple bars.
+        barnorm
+            Sets the normalization for bar traces on the graph.
+            With "fraction", the value of each bar is divided by
+            the sum of all values at that location coordinate.
+            "percent" is the same but multiplied by 100 to show
+            percentages.
+        boxgap
+            Sets the gap (in plot fraction) between boxes of
+            adjacent location coordinates. Has no effect on traces
+            that have "width" set.
+        boxgroupgap
+            Sets the gap (in plot fraction) between boxes of the
+            same location coordinate. Has no effect on traces that
+            have "width" set.
+        boxmode
+            Determines how boxes at the same location coordinate
+            are displayed on the graph. If "group", the boxes are
+            plotted next to one another centered around the shared
+            location. If "overlay", the boxes are plotted over one
+            another, you might need to set "opacity" to see them
+            multiple boxes. Has no effect on traces that have
+            "width" set.
+        calendar
+            Sets the default calendar system to use for
+            interpreting and displaying dates throughout the plot.
+        clickmode
+            Determines the mode of single click interactions.
+            "event" is the default value and emits the
+            `plotly_click` event. In addition this mode emits the
+            `plotly_selected` event in drag modes "lasso" and
+            "select", but with no event data attached (kept for
+            compatibility reasons). The "select" flag enables
+            selecting single data points via click. This mode also
+            supports persistent selections, meaning that pressing
+            Shift while clicking, adds to / subtracts from an
+            existing selection. "select" with `hovermode`: "x" can
+            be confusing, consider explicitly setting `hovermode`:
+            "closest" when using this feature. Selection events are
+            sent accordingly as long as "event" flag is set as
+            well. When the "event" flag is missing, `plotly_click`
+            and `plotly_selected` events are not fired.
+        coloraxis
+            :class:`plotly.graph_objects.layout.Coloraxis` instance
+            or dict with compatible properties
+        colorscale
+            :class:`plotly.graph_objects.layout.Colorscale`
+            instance or dict with compatible properties
+        colorway
+            Sets the default trace colors.
+        datarevision
+            If provided, a changed value tells `Plotly.react` that
+            one or more data arrays has changed. This way you can
+            modify arrays in-place rather than making a complete
+            new copy for an incremental change. If NOT provided,
+            `Plotly.react` assumes that data arrays are being
+            treated as immutable, thus any data array with a
+            different identity from its predecessor contains new
+            data.
+        direction
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the direction corresponding to
+            positive angles in legacy polar charts.
+        dragmode
+            Determines the mode of drag interactions. "select" and
+            "lasso" apply only to scatter traces with markers or
+            text. "orbit" and "turntable" apply only to 3D scenes.
+        editrevision
+            Controls persistence of user-driven changes in
+            `editable: true` configuration, other than trace names
+            and axis titles. Defaults to `layout.uirevision`.
+        extendfunnelareacolors
+            If `true`, the funnelarea slice colors (whether given
+            by `funnelareacolorway` or inherited from `colorway`)
+            will be extended to three times its original length by
+            first repeating every color 20% lighter then each color
+            20% darker. This is intended to reduce the likelihood
+            of reusing the same color when you have many slices,
+            but you can set `false` to disable. Colors provided in
+            the trace, using `marker.colors`, are never extended.
+        extendpiecolors
+            If `true`, the pie slice colors (whether given by
+            `piecolorway` or inherited from `colorway`) will be
+            extended to three times its original length by first
+            repeating every color 20% lighter then each color 20%
+            darker. This is intended to reduce the likelihood of
+            reusing the same color when you have many slices, but
+            you can set `false` to disable. Colors provided in the
+            trace, using `marker.colors`, are never extended.
+        extendsunburstcolors
+            If `true`, the sunburst slice colors (whether given by
+            `sunburstcolorway` or inherited from `colorway`) will
+            be extended to three times its original length by first
+            repeating every color 20% lighter then each color 20%
+            darker. This is intended to reduce the likelihood of
+            reusing the same color when you have many slices, but
+            you can set `false` to disable. Colors provided in the
+            trace, using `marker.colors`, are never extended.
+        extendtreemapcolors
+            If `true`, the treemap slice colors (whether given by
+            `treemapcolorway` or inherited from `colorway`) will be
+            extended to three times its original length by first
+            repeating every color 20% lighter then each color 20%
+            darker. This is intended to reduce the likelihood of
+            reusing the same color when you have many slices, but
+            you can set `false` to disable. Colors provided in the
+            trace, using `marker.colors`, are never extended.
+        font
+            Sets the global font. Note that fonts used in traces
+            and other layout components inherit from the global
+            font.
+        funnelareacolorway
+            Sets the default funnelarea slice colors. Defaults to
+            the main `colorway` used for trace colors. If you
+            specify a new list here it can still be extended with
+            lighter and darker colors, see
+            `extendfunnelareacolors`.
+        funnelgap
+            Sets the gap (in plot fraction) between bars of
+            adjacent location coordinates.
+        funnelgroupgap
+            Sets the gap (in plot fraction) between bars of the
+            same location coordinate.
+        funnelmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "stack", the bars are
+            stacked on top of one another With "group", the bars
+            are plotted next to one another centered around the
+            shared location. With "overlay", the bars are plotted
+            over one another, you might need to an "opacity" to see
+            multiple bars.
+        geo
+            :class:`plotly.graph_objects.layout.Geo` instance or
+            dict with compatible properties
+        grid
+            :class:`plotly.graph_objects.layout.Grid` instance or
+            dict with compatible properties
+        height
+            Sets the plot's height (in px).
+        hiddenlabels
+            hiddenlabels is the funnelarea & pie chart analog of
+            visible:'legendonly' but it can contain many labels,
+            and can simultaneously hide slices from several
+            pies/funnelarea charts
+        hiddenlabelssrc
+            Sets the source reference on Chart Studio Cloud for
+            hiddenlabels .
+        hidesources
+            Determines whether or not a text link citing the data
+            source is placed at the bottom-right cored of the
+            figure. Has only an effect only on graphs that have
+            been generated via forked graphs from the Chart Studio
+            Cloud (at https://chart-studio.plotly.com or on-
+            premise).
+        hoverdistance
+            Sets the default distance (in pixels) to look for data
+            to add hover labels (-1 means no cutoff, 0 means no
+            looking for data). This is only a real distance for
+            hovering on point-like objects, like scatter points.
+            For area-like objects (bars, scatter fills, etc)
+            hovering is on inside the area and off outside, but
+            these objects will not supersede hover on point-like
+            objects in case of conflict.
+        hoverlabel
+            :class:`plotly.graph_objects.layout.Hoverlabel`
+            instance or dict with compatible properties
+        hovermode
+            Determines the mode of hover interactions. If
+            "closest", a single hoverlabel will appear for the
+            "closest" point within the `hoverdistance`. If "x" (or
+            "y"), multiple hoverlabels will appear for multiple
+            points at the "closest" x- (or y-) coordinate within
+            the `hoverdistance`, with the caveat that no more than
+            one hoverlabel will appear per trace. If *x unified*
+            (or *y unified*), a single hoverlabel will appear
+            multiple points at the closest x- (or y-) coordinate
+            within the `hoverdistance` with the caveat that no more
+            than one hoverlabel will appear per trace. In this
+            mode, spikelines are enabled by default perpendicular
+            to the specified axis. If false, hover interactions are
+            disabled. If `clickmode` includes the "select" flag,
+            `hovermode` defaults to "closest". If `clickmode` lacks
+            the "select" flag, it defaults to "x" or "y" (depending
+            on the trace's `orientation` value) for plots based on
+            cartesian coordinates. For anything else the default
+            value is "closest".
+        images
+            A tuple of :class:`plotly.graph_objects.layout.Image`
+            instances or dicts with compatible properties
+        imagedefaults
+            When used in a template (as
+            layout.template.layout.imagedefaults), sets the default
+            property values to use for elements of layout.images
+        legend
+            :class:`plotly.graph_objects.layout.Legend` instance or
+            dict with compatible properties
+        mapbox
+            :class:`plotly.graph_objects.layout.Mapbox` instance or
+            dict with compatible properties
+        margin
+            :class:`plotly.graph_objects.layout.Margin` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information that can be used in
+            various `text` attributes. Attributes such as the
+            graph, axis and colorbar `title.text`, annotation
+            `text` `trace.name` in legend items, `rangeselector`,
+            `updatemenus` and `sliders` `label` text all support
+            `meta`. One can access `meta` fields using template
+            strings: `%{meta[i]}` where `i` is the index of the
+            `meta` item in question. `meta` can also be an object
+            for example `{key: value}` which can be accessed
+            %{meta[key]}.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        modebar
+            :class:`plotly.graph_objects.layout.Modebar` instance
+            or dict with compatible properties
+        orientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Rotates the entire polar by the given
+            angle in legacy polar charts.
+        paper_bgcolor
+            Sets the background color of the paper where the graph
+            is drawn.
+        piecolorway
+            Sets the default pie slice colors. Defaults to the main
+            `colorway` used for trace colors. If you specify a new
+            list here it can still be extended with lighter and
+            darker colors, see `extendpiecolors`.
+        plot_bgcolor
+            Sets the background color of the plotting area in-
+            between x and y axes.
+        polar
+            :class:`plotly.graph_objects.layout.Polar` instance or
+            dict with compatible properties
+        radialaxis
+            :class:`plotly.graph_objects.layout.RadialAxis`
+            instance or dict with compatible properties
+        scene
+            :class:`plotly.graph_objects.layout.Scene` instance or
+            dict with compatible properties
+        selectdirection
+            When "dragmode" is set to "select", this limits the
+            selection of the drag to horizontal, vertical or
+            diagonal. "h" only allows horizontal selection, "v"
+            only vertical, "d" only diagonal and "any" sets no
+            limit.
+        selectionrevision
+            Controls persistence of user-driven changes in selected
+            points from all traces.
+        separators
+            Sets the decimal and thousand separators. For example,
+            *. * puts a '.' before decimals and a space between
+            thousands. In English locales, dflt is ".," but other
+            locales may alter this default.
+        shapes
+            A tuple of :class:`plotly.graph_objects.layout.Shape`
+            instances or dicts with compatible properties
+        shapedefaults
+            When used in a template (as
+            layout.template.layout.shapedefaults), sets the default
+            property values to use for elements of layout.shapes
+        showlegend
+            Determines whether or not a legend is drawn. Default is
+            `true` if there is a trace to show and any of these: a)
+            Two or more traces would by default be shown in the
+            legend. b) One pie trace is shown in the legend. c) One
+            trace is explicitly given with `showlegend: true`.
+        sliders
+            A tuple of :class:`plotly.graph_objects.layout.Slider`
+            instances or dicts with compatible properties
+        sliderdefaults
+            When used in a template (as
+            layout.template.layout.sliderdefaults), sets the
+            default property values to use for elements of
+            layout.sliders
+        spikedistance
+            Sets the default distance (in pixels) to look for data
+            to draw spikelines to (-1 means no cutoff, 0 means no
+            looking for data). As with hoverdistance, distance does
+            not apply to area-like objects. In addition, some
+            objects can be hovered on but will not generate
+            spikelines, such as scatter fills.
+        sunburstcolorway
+            Sets the default sunburst slice colors. Defaults to the
+            main `colorway` used for trace colors. If you specify a
+            new list here it can still be extended with lighter and
+            darker colors, see `extendsunburstcolors`.
+        template
+            Default attributes to be applied to the plot. This
+            should be a dict with format: `{'layout':
+            layoutTemplate, 'data': {trace_type: [traceTemplate,
+            ...], ...}}` where `layoutTemplate` is a dict matching
+            the structure of `figure.layout` and `traceTemplate` is
+            a dict matching the structure of the trace with type
+            `trace_type` (e.g. 'scatter'). Alternatively, this may
+            be specified as an instance of
+            plotly.graph_objs.layout.Template.  Trace templates are
+            applied cyclically to traces of each type. Container
+            arrays (eg `annotations`) have special handling: An
+            object ending in `defaults` (eg `annotationdefaults`)
+            is applied to each array item. But if an item has a
+            `templateitemname` key we look in the template array
+            for an item with matching `name` and apply that
+            instead. If no matching `name` is found we mark the
+            item invisible. Any named template item not referenced
+            is appended to the end of the array, so this can be
+            used to add a watermark annotation or a logo image, for
+            example. To omit one of these items on the plot, make
+            an item with matching `templateitemname` and `visible:
+            false`.
+        ternary
+            :class:`plotly.graph_objects.layout.Ternary` instance
+            or dict with compatible properties
+        title
+            :class:`plotly.graph_objects.layout.Title` instance or
+            dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.title.font instead. Sets
+            the title font. Note that the title's font used to be
+            customized by the now deprecated `titlefont` attribute.
+        transition
+            Sets transition options used during Plotly.react
+            updates.
+        treemapcolorway
+            Sets the default treemap slice colors. Defaults to the
+            main `colorway` used for trace colors. If you specify a
+            new list here it can still be extended with lighter and
+            darker colors, see `extendtreemapcolors`.
+        uirevision
+            Used to allow user interactions with the plot to
+            persist after `Plotly.react` calls that are unaware of
+            these interactions. If `uirevision` is omitted, or if
+            it is given and it changed from the previous
+            `Plotly.react` call, the exact new figure is used. If
+            `uirevision` is truthy and did NOT change, any
+            attribute that has been affected by user interactions
+            and did not receive a different value in the new figure
+            will keep the interaction value. `layout.uirevision`
+            attribute serves as the default for `uirevision`
+            attributes in various sub-containers. For finer control
+            you can set these sub-attributes directly. For example,
+            if your app separately controls the data on the x and y
+            axes you might set `xaxis.uirevision=*time*` and
+            `yaxis.uirevision=*cost*`. Then if only the y data is
+            changed, you can update `yaxis.uirevision=*quantity*`
+            and the y axis range will reset but the x axis range
+            will retain any user-driven zoom.
+        uniformtext
+            :class:`plotly.graph_objects.layout.Uniformtext`
+            instance or dict with compatible properties
+        updatemenus
+            A tuple of
+            :class:`plotly.graph_objects.layout.Updatemenu`
+            instances or dicts with compatible properties
+        updatemenudefaults
+            When used in a template (as
+            layout.template.layout.updatemenudefaults), sets the
+            default property values to use for elements of
+            layout.updatemenus
+        violingap
+            Sets the gap (in plot fraction) between violins of
+            adjacent location coordinates. Has no effect on traces
+            that have "width" set.
+        violingroupgap
+            Sets the gap (in plot fraction) between violins of the
+            same location coordinate. Has no effect on traces that
+            have "width" set.
+        violinmode
+            Determines how violins at the same location coordinate
+            are displayed on the graph. If "group", the violins are
+            plotted next to one another centered around the shared
+            location. If "overlay", the violins are plotted over
+            one another, you might need to set "opacity" to see
+            them multiple violins. Has no effect on traces that
+            have "width" set.
+        waterfallgap
+            Sets the gap (in plot fraction) between bars of
+            adjacent location coordinates.
+        waterfallgroupgap
+            Sets the gap (in plot fraction) between bars of the
+            same location coordinate.
+        waterfallmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "group", the bars are
+            plotted next to one another centered around the shared
+            location. With "overlay", the bars are plotted over one
+            another, you might need to an "opacity" to see multiple
+            bars.
+        width
+            Sets the plot's width (in px).
+        xaxis
+            :class:`plotly.graph_objects.layout.XAxis` instance or
+            dict with compatible properties
+        yaxis
+            :class:`plotly.graph_objects.layout.YAxis` instance or
+            dict with compatible properties
+
+        Returns
+        -------
+        Layout
+        """
+        super(Layout, self).__init__("layout")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Override _valid_props for instance so that instance can mutate set
+        # to support subplot properties (e.g. xaxis2)
+        self._valid_props = {
+            "angularaxis",
+            "annotationdefaults",
+            "annotations",
+            "autosize",
+            "bargap",
+            "bargroupgap",
+            "barmode",
+            "barnorm",
+            "boxgap",
+            "boxgroupgap",
+            "boxmode",
+            "calendar",
+            "clickmode",
+            "coloraxis",
+            "colorscale",
+            "colorway",
+            "datarevision",
+            "direction",
+            "dragmode",
+            "editrevision",
+            "extendfunnelareacolors",
+            "extendpiecolors",
+            "extendsunburstcolors",
+            "extendtreemapcolors",
+            "font",
+            "funnelareacolorway",
+            "funnelgap",
+            "funnelgroupgap",
+            "funnelmode",
+            "geo",
+            "grid",
+            "height",
+            "hiddenlabels",
+            "hiddenlabelssrc",
+            "hidesources",
+            "hoverdistance",
+            "hoverlabel",
+            "hovermode",
+            "imagedefaults",
+            "images",
+            "legend",
+            "mapbox",
+            "margin",
+            "meta",
+            "metasrc",
+            "modebar",
+            "orientation",
+            "paper_bgcolor",
+            "piecolorway",
+            "plot_bgcolor",
+            "polar",
+            "radialaxis",
+            "scene",
+            "selectdirection",
+            "selectionrevision",
+            "separators",
+            "shapedefaults",
+            "shapes",
+            "showlegend",
+            "sliderdefaults",
+            "sliders",
+            "spikedistance",
+            "sunburstcolorway",
+            "template",
+            "ternary",
+            "title",
+            "titlefont",
+            "transition",
+            "treemapcolorway",
+            "uirevision",
+            "uniformtext",
+            "updatemenudefaults",
+            "updatemenus",
+            "violingap",
+            "violingroupgap",
+            "violinmode",
+            "waterfallgap",
+            "waterfallgroupgap",
+            "waterfallmode",
+            "width",
+            "xaxis",
+            "yaxis",
+        }
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Layout 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Layout`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("angularaxis", None)
+        _v = angularaxis if angularaxis is not None else _v
+        if _v is not None:
+            self["angularaxis"] = _v
+        _v = arg.pop("annotations", None)
+        _v = annotations if annotations is not None else _v
+        if _v is not None:
+            self["annotations"] = _v
+        _v = arg.pop("annotationdefaults", None)
+        _v = annotationdefaults if annotationdefaults is not None else _v
+        if _v is not None:
+            self["annotationdefaults"] = _v
+        _v = arg.pop("autosize", None)
+        _v = autosize if autosize is not None else _v
+        if _v is not None:
+            self["autosize"] = _v
+        _v = arg.pop("bargap", None)
+        _v = bargap if bargap is not None else _v
+        if _v is not None:
+            self["bargap"] = _v
+        _v = arg.pop("bargroupgap", None)
+        _v = bargroupgap if bargroupgap is not None else _v
+        if _v is not None:
+            self["bargroupgap"] = _v
+        _v = arg.pop("barmode", None)
+        _v = barmode if barmode is not None else _v
+        if _v is not None:
+            self["barmode"] = _v
+        _v = arg.pop("barnorm", None)
+        _v = barnorm if barnorm is not None else _v
+        if _v is not None:
+            self["barnorm"] = _v
+        _v = arg.pop("boxgap", None)
+        _v = boxgap if boxgap is not None else _v
+        if _v is not None:
+            self["boxgap"] = _v
+        _v = arg.pop("boxgroupgap", None)
+        _v = boxgroupgap if boxgroupgap is not None else _v
+        if _v is not None:
+            self["boxgroupgap"] = _v
+        _v = arg.pop("boxmode", None)
+        _v = boxmode if boxmode is not None else _v
+        if _v is not None:
+            self["boxmode"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("clickmode", None)
+        _v = clickmode if clickmode is not None else _v
+        if _v is not None:
+            self["clickmode"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorway", None)
+        _v = colorway if colorway is not None else _v
+        if _v is not None:
+            self["colorway"] = _v
+        _v = arg.pop("datarevision", None)
+        _v = datarevision if datarevision is not None else _v
+        if _v is not None:
+            self["datarevision"] = _v
+        _v = arg.pop("direction", None)
+        _v = direction if direction is not None else _v
+        if _v is not None:
+            self["direction"] = _v
+        _v = arg.pop("dragmode", None)
+        _v = dragmode if dragmode is not None else _v
+        if _v is not None:
+            self["dragmode"] = _v
+        _v = arg.pop("editrevision", None)
+        _v = editrevision if editrevision is not None else _v
+        if _v is not None:
+            self["editrevision"] = _v
+        _v = arg.pop("extendfunnelareacolors", None)
+        _v = extendfunnelareacolors if extendfunnelareacolors is not None else _v
+        if _v is not None:
+            self["extendfunnelareacolors"] = _v
+        _v = arg.pop("extendpiecolors", None)
+        _v = extendpiecolors if extendpiecolors is not None else _v
+        if _v is not None:
+            self["extendpiecolors"] = _v
+        _v = arg.pop("extendsunburstcolors", None)
+        _v = extendsunburstcolors if extendsunburstcolors is not None else _v
+        if _v is not None:
+            self["extendsunburstcolors"] = _v
+        _v = arg.pop("extendtreemapcolors", None)
+        _v = extendtreemapcolors if extendtreemapcolors is not None else _v
+        if _v is not None:
+            self["extendtreemapcolors"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("funnelareacolorway", None)
+        _v = funnelareacolorway if funnelareacolorway is not None else _v
+        if _v is not None:
+            self["funnelareacolorway"] = _v
+        _v = arg.pop("funnelgap", None)
+        _v = funnelgap if funnelgap is not None else _v
+        if _v is not None:
+            self["funnelgap"] = _v
+        _v = arg.pop("funnelgroupgap", None)
+        _v = funnelgroupgap if funnelgroupgap is not None else _v
+        if _v is not None:
+            self["funnelgroupgap"] = _v
+        _v = arg.pop("funnelmode", None)
+        _v = funnelmode if funnelmode is not None else _v
+        if _v is not None:
+            self["funnelmode"] = _v
+        _v = arg.pop("geo", None)
+        _v = geo if geo is not None else _v
+        if _v is not None:
+            self["geo"] = _v
+        _v = arg.pop("grid", None)
+        _v = grid if grid is not None else _v
+        if _v is not None:
+            self["grid"] = _v
+        _v = arg.pop("height", None)
+        _v = height if height is not None else _v
+        if _v is not None:
+            self["height"] = _v
+        _v = arg.pop("hiddenlabels", None)
+        _v = hiddenlabels if hiddenlabels is not None else _v
+        if _v is not None:
+            self["hiddenlabels"] = _v
+        _v = arg.pop("hiddenlabelssrc", None)
+        _v = hiddenlabelssrc if hiddenlabelssrc is not None else _v
+        if _v is not None:
+            self["hiddenlabelssrc"] = _v
+        _v = arg.pop("hidesources", None)
+        _v = hidesources if hidesources is not None else _v
+        if _v is not None:
+            self["hidesources"] = _v
+        _v = arg.pop("hoverdistance", None)
+        _v = hoverdistance if hoverdistance is not None else _v
+        if _v is not None:
+            self["hoverdistance"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovermode", None)
+        _v = hovermode if hovermode is not None else _v
+        if _v is not None:
+            self["hovermode"] = _v
+        _v = arg.pop("images", None)
+        _v = images if images is not None else _v
+        if _v is not None:
+            self["images"] = _v
+        _v = arg.pop("imagedefaults", None)
+        _v = imagedefaults if imagedefaults is not None else _v
+        if _v is not None:
+            self["imagedefaults"] = _v
+        _v = arg.pop("legend", None)
+        _v = legend if legend is not None else _v
+        if _v is not None:
+            self["legend"] = _v
+        _v = arg.pop("mapbox", None)
+        _v = mapbox if mapbox is not None else _v
+        if _v is not None:
+            self["mapbox"] = _v
+        _v = arg.pop("margin", None)
+        _v = margin if margin is not None else _v
+        if _v is not None:
+            self["margin"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("modebar", None)
+        _v = modebar if modebar is not None else _v
+        if _v is not None:
+            self["modebar"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("paper_bgcolor", None)
+        _v = paper_bgcolor if paper_bgcolor is not None else _v
+        if _v is not None:
+            self["paper_bgcolor"] = _v
+        _v = arg.pop("piecolorway", None)
+        _v = piecolorway if piecolorway is not None else _v
+        if _v is not None:
+            self["piecolorway"] = _v
+        _v = arg.pop("plot_bgcolor", None)
+        _v = plot_bgcolor if plot_bgcolor is not None else _v
+        if _v is not None:
+            self["plot_bgcolor"] = _v
+        _v = arg.pop("polar", None)
+        _v = polar if polar is not None else _v
+        if _v is not None:
+            self["polar"] = _v
+        _v = arg.pop("radialaxis", None)
+        _v = radialaxis if radialaxis is not None else _v
+        if _v is not None:
+            self["radialaxis"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("selectdirection", None)
+        _v = selectdirection if selectdirection is not None else _v
+        if _v is not None:
+            self["selectdirection"] = _v
+        _v = arg.pop("selectionrevision", None)
+        _v = selectionrevision if selectionrevision is not None else _v
+        if _v is not None:
+            self["selectionrevision"] = _v
+        _v = arg.pop("separators", None)
+        _v = separators if separators is not None else _v
+        if _v is not None:
+            self["separators"] = _v
+        _v = arg.pop("shapes", None)
+        _v = shapes if shapes is not None else _v
+        if _v is not None:
+            self["shapes"] = _v
+        _v = arg.pop("shapedefaults", None)
+        _v = shapedefaults if shapedefaults is not None else _v
+        if _v is not None:
+            self["shapedefaults"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("sliders", None)
+        _v = sliders if sliders is not None else _v
+        if _v is not None:
+            self["sliders"] = _v
+        _v = arg.pop("sliderdefaults", None)
+        _v = sliderdefaults if sliderdefaults is not None else _v
+        if _v is not None:
+            self["sliderdefaults"] = _v
+        _v = arg.pop("spikedistance", None)
+        _v = spikedistance if spikedistance is not None else _v
+        if _v is not None:
+            self["spikedistance"] = _v
+        _v = arg.pop("sunburstcolorway", None)
+        _v = sunburstcolorway if sunburstcolorway is not None else _v
+        if _v is not None:
+            self["sunburstcolorway"] = _v
+        _v = arg.pop("template", None)
+        _v = template if template is not None else _v
+        if _v is not None:
+            self["template"] = _v
+        _v = arg.pop("ternary", None)
+        _v = ternary if ternary is not None else _v
+        if _v is not None:
+            self["ternary"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("transition", None)
+        _v = transition if transition is not None else _v
+        if _v is not None:
+            self["transition"] = _v
+        _v = arg.pop("treemapcolorway", None)
+        _v = treemapcolorway if treemapcolorway is not None else _v
+        if _v is not None:
+            self["treemapcolorway"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("uniformtext", None)
+        _v = uniformtext if uniformtext is not None else _v
+        if _v is not None:
+            self["uniformtext"] = _v
+        _v = arg.pop("updatemenus", None)
+        _v = updatemenus if updatemenus is not None else _v
+        if _v is not None:
+            self["updatemenus"] = _v
+        _v = arg.pop("updatemenudefaults", None)
+        _v = updatemenudefaults if updatemenudefaults is not None else _v
+        if _v is not None:
+            self["updatemenudefaults"] = _v
+        _v = arg.pop("violingap", None)
+        _v = violingap if violingap is not None else _v
+        if _v is not None:
+            self["violingap"] = _v
+        _v = arg.pop("violingroupgap", None)
+        _v = violingroupgap if violingroupgap is not None else _v
+        if _v is not None:
+            self["violingroupgap"] = _v
+        _v = arg.pop("violinmode", None)
+        _v = violinmode if violinmode is not None else _v
+        if _v is not None:
+            self["violinmode"] = _v
+        _v = arg.pop("waterfallgap", None)
+        _v = waterfallgap if waterfallgap is not None else _v
+        if _v is not None:
+            self["waterfallgap"] = _v
+        _v = arg.pop("waterfallgroupgap", None)
+        _v = waterfallgroupgap if waterfallgroupgap is not None else _v
+        if _v is not None:
+            self["waterfallgroupgap"] = _v
+        _v = arg.pop("waterfallmode", None)
+        _v = waterfallmode if waterfallmode is not None else _v
+        if _v is not None:
+            self["waterfallmode"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_mesh3d.py b/packages/python/plotly/plotly/graph_objs/_mesh3d.py
new file mode 100644
index 00000000000..552715bf298
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_mesh3d.py
@@ -0,0 +1,2929 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Mesh3d(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "mesh3d"
+    _valid_props = {
+        "alphahull",
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "contour",
+        "customdata",
+        "customdatasrc",
+        "delaunayaxis",
+        "facecolor",
+        "facecolorsrc",
+        "flatshading",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "i",
+        "ids",
+        "idssrc",
+        "intensity",
+        "intensitymode",
+        "intensitysrc",
+        "isrc",
+        "j",
+        "jsrc",
+        "k",
+        "ksrc",
+        "legendgroup",
+        "lighting",
+        "lightposition",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "reversescale",
+        "scene",
+        "showlegend",
+        "showscale",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "vertexcolor",
+        "vertexcolorsrc",
+        "visible",
+        "x",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "ycalendar",
+        "ysrc",
+        "z",
+        "zcalendar",
+        "zsrc",
+    }
+
+    # alphahull
+    # ---------
+    @property
+    def alphahull(self):
+        """
+        Determines how the mesh surface triangles are derived from the
+        set of vertices (points) represented by the `x`, `y` and `z`
+        arrays, if the `i`, `j`, `k` arrays are not supplied. For
+        general use of `mesh3d` it is preferred that `i`, `j`, `k` are
+        supplied. If "-1", Delaunay triangulation is used, which is
+        mainly suitable if the mesh is a single, more or less layer
+        surface that is perpendicular to `delaunayaxis`. In case the
+        `delaunayaxis` intersects the mesh surface at more than one
+        point it will result triangles that are very long in the
+        dimension of `delaunayaxis`. If ">0", the alpha-shape algorithm
+        is used. In this case, the positive `alphahull` value signals
+        the use of the alpha-shape algorithm, _and_ its value acts as
+        the parameter for the mesh fitting. If 0,  the convex-hull
+        algorithm is used. It is suitable for convex bodies or if the
+        intention is to enclose the `x`, `y` and `z` point set into a
+        convex hull.
+    
+        The 'alphahull' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["alphahull"]
+
+    @alphahull.setter
+    def alphahull(self, val):
+        self["alphahull"] = val
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here `intensity`) or the bounds set
+        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
+        `cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as `intensity` and if set, `cmin` must be set as
+        well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as `intensity`. Has no effect when `cauto` is
+        `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as `intensity` and if set, `cmax` must be set as
+        well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the whole mesh
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to mesh3d.colorscale
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.mesh3d.
+                    colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.mesh3d.colorbar.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of mesh3d.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.mesh3d.colorbar.Ti
+                    tle` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    mesh3d.colorbar.title.font instead. Sets this
+                    color bar's title font. Note that the title's
+                    font used to be set by the now deprecated
+                    `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    mesh3d.colorbar.title.side instead. Determines
+                    the location of color bar's title with respect
+                    to the color bar. Note that the title's
+                    location used to be set by the now deprecated
+                    `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # contour
+    # -------
+    @property
+    def contour(self):
+        """
+        The 'contour' property is an instance of Contour
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.Contour`
+          - A dict of string/value properties that will be passed
+            to the Contour constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour lines.
+                show
+                    Sets whether or not dynamic contours are shown
+                    on hover
+                width
+                    Sets the width of the contour lines.
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.Contour
+        """
+        return self["contour"]
+
+    @contour.setter
+    def contour(self, val):
+        self["contour"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # delaunayaxis
+    # ------------
+    @property
+    def delaunayaxis(self):
+        """
+        Sets the Delaunay axis, which is the axis that is perpendicular
+        to the surface of the Delaunay triangulation. It has an effect
+        if `i`, `j`, `k` are not provided and `alphahull` is set to
+        indicate Delaunay triangulation.
+    
+        The 'delaunayaxis' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['x', 'y', 'z']
+
+        Returns
+        -------
+        Any
+        """
+        return self["delaunayaxis"]
+
+    @delaunayaxis.setter
+    def delaunayaxis(self, val):
+        self["delaunayaxis"] = val
+
+    # facecolor
+    # ---------
+    @property
+    def facecolor(self):
+        """
+        Sets the color of each face Overrides "color" and
+        "vertexcolor".
+    
+        The 'facecolor' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["facecolor"]
+
+    @facecolor.setter
+    def facecolor(self, val):
+        self["facecolor"] = val
+
+    # facecolorsrc
+    # ------------
+    @property
+    def facecolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  facecolor
+        .
+    
+        The 'facecolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["facecolorsrc"]
+
+    @facecolorsrc.setter
+    def facecolorsrc(self, val):
+        self["facecolorsrc"] = val
+
+    # flatshading
+    # -----------
+    @property
+    def flatshading(self):
+        """
+        Determines whether or not normal smoothing is applied to the
+        meshes, creating meshes with an angular, low-poly look via flat
+        reflections.
+    
+        The 'flatshading' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["flatshading"]
+
+    @flatshading.setter
+    def flatshading(self, val):
+        self["flatshading"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # i
+    # -
+    @property
+    def i(self):
+        """
+        A vector of vertex indices, i.e. integer values between 0 and
+        the length of the vertex vectors, representing the "first"
+        vertex of a triangle. For example, `{i[m], j[m], k[m]}`
+        together represent face m (triangle m) in the mesh, where `i[m]
+        = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex
+        arrays. Therefore, each element in `i` represents a point in
+        space, which is the first vertex of a triangle.
+    
+        The 'i' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["i"]
+
+    @i.setter
+    def i(self, val):
+        self["i"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # intensity
+    # ---------
+    @property
+    def intensity(self):
+        """
+        Sets the intensity values for vertices or cells as defined by
+        `intensitymode`. It can be used for plotting fields on meshes.
+    
+        The 'intensity' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["intensity"]
+
+    @intensity.setter
+    def intensity(self, val):
+        self["intensity"] = val
+
+    # intensitymode
+    # -------------
+    @property
+    def intensitymode(self):
+        """
+        Determines the source of `intensity` values.
+    
+        The 'intensitymode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['vertex', 'cell']
+
+        Returns
+        -------
+        Any
+        """
+        return self["intensitymode"]
+
+    @intensitymode.setter
+    def intensitymode(self, val):
+        self["intensitymode"] = val
+
+    # intensitysrc
+    # ------------
+    @property
+    def intensitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  intensity
+        .
+    
+        The 'intensitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["intensitysrc"]
+
+    @intensitysrc.setter
+    def intensitysrc(self, val):
+        self["intensitysrc"] = val
+
+    # isrc
+    # ----
+    @property
+    def isrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  i .
+    
+        The 'isrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["isrc"]
+
+    @isrc.setter
+    def isrc(self, val):
+        self["isrc"] = val
+
+    # j
+    # -
+    @property
+    def j(self):
+        """
+        A vector of vertex indices, i.e. integer values between 0 and
+        the length of the vertex vectors, representing the "second"
+        vertex of a triangle. For example, `{i[m], j[m], k[m]}`
+        together represent face m (triangle m) in the mesh, where `j[m]
+        = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex
+        arrays. Therefore, each element in `j` represents a point in
+        space, which is the second vertex of a triangle.
+    
+        The 'j' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["j"]
+
+    @j.setter
+    def j(self, val):
+        self["j"] = val
+
+    # jsrc
+    # ----
+    @property
+    def jsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  j .
+    
+        The 'jsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["jsrc"]
+
+    @jsrc.setter
+    def jsrc(self, val):
+        self["jsrc"] = val
+
+    # k
+    # -
+    @property
+    def k(self):
+        """
+        A vector of vertex indices, i.e. integer values between 0 and
+        the length of the vertex vectors, representing the "third"
+        vertex of a triangle. For example, `{i[m], j[m], k[m]}`
+        together represent face m (triangle m) in the mesh, where `k[m]
+        = n` points to the triplet  `{x[n], y[n], z[n]}` in the vertex
+        arrays. Therefore, each element in `k` represents a point in
+        space, which is the third vertex of a triangle.
+    
+        The 'k' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["k"]
+
+    @k.setter
+    def k(self, val):
+        self["k"] = val
+
+    # ksrc
+    # ----
+    @property
+    def ksrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  k .
+    
+        The 'ksrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ksrc"]
+
+    @ksrc.setter
+    def ksrc(self, val):
+        self["ksrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lighting
+    # --------
+    @property
+    def lighting(self):
+        """
+        The 'lighting' property is an instance of Lighting
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.Lighting`
+          - A dict of string/value properties that will be passed
+            to the Lighting constructor
+    
+            Supported dict properties:
+                
+                ambient
+                    Ambient light increases overall color
+                    visibility but can wash out the image.
+                diffuse
+                    Represents the extent that incident rays are
+                    reflected in a range of angles.
+                facenormalsepsilon
+                    Epsilon for face normals calculation avoids
+                    math issues arising from degenerate geometry.
+                fresnel
+                    Represents the reflectance as a dependency of
+                    the viewing angle; e.g. paper is reflective
+                    when viewing it from the edge of the paper
+                    (almost 90 degrees), causing shine.
+                roughness
+                    Alters specular reflection; the rougher the
+                    surface, the wider and less contrasty the
+                    shine.
+                specular
+                    Represents the level that incident rays are
+                    reflected in a single direction, causing shine.
+                vertexnormalsepsilon
+                    Epsilon for vertex normals calculation avoids
+                    math issues arising from degenerate geometry.
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.Lighting
+        """
+        return self["lighting"]
+
+    @lighting.setter
+    def lighting(self, val):
+        self["lighting"] = val
+
+    # lightposition
+    # -------------
+    @property
+    def lightposition(self):
+        """
+        The 'lightposition' property is an instance of Lightposition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.Lightposition`
+          - A dict of string/value properties that will be passed
+            to the Lightposition constructor
+    
+            Supported dict properties:
+                
+                x
+                    Numeric vector, representing the X coordinate
+                    for each vertex.
+                y
+                    Numeric vector, representing the Y coordinate
+                    for each vertex.
+                z
+                    Numeric vector, representing the Z coordinate
+                    for each vertex.
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.Lightposition
+        """
+        return self["lightposition"]
+
+    @lightposition.setter
+    def lightposition(self, val):
+        self["lightposition"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the surface. Please note that in the case
+        of using high `opacity` values for example a value greater than
+        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
+        an overlay of multiple transparent surfaces may not perfectly
+        be sorted in depth by the webgl API. This behavior may be
+        improved in the near future and is subject to change.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with the vertices. If trace
+        `hoverinfo` contains a "text" flag and "hovertext" is not set,
+        these elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # vertexcolor
+    # -----------
+    @property
+    def vertexcolor(self):
+        """
+        Sets the color of each vertex Overrides "color". While Red,
+        green and blue colors are in the range of 0 and 255; in the
+        case of having vertex color data in RGBA format, the alpha
+        color should be normalized to be between 0 and 1.
+    
+        The 'vertexcolor' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["vertexcolor"]
+
+    @vertexcolor.setter
+    def vertexcolor(self, val):
+        self["vertexcolor"] = val
+
+    # vertexcolorsrc
+    # --------------
+    @property
+    def vertexcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        vertexcolor .
+    
+        The 'vertexcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["vertexcolorsrc"]
+
+    @vertexcolorsrc.setter
+    def vertexcolorsrc(self, val):
+        self["vertexcolorsrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the X coordinates of the vertices. The nth element of
+        vectors `x`, `y` and `z` jointly represent the X, Y and Z
+        coordinates of the nth vertex.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the Y coordinates of the vertices. The nth element of
+        vectors `x`, `y` and `z` jointly represent the X, Y and Z
+        coordinates of the nth vertex.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the Z coordinates of the vertices. The nth element of
+        vectors `x`, `y` and `z` jointly represent the X, Y and Z
+        coordinates of the nth vertex.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zcalendar
+    # ---------
+    @property
+    def zcalendar(self):
+        """
+        Sets the calendar system to use with `z` date data.
+    
+        The 'zcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["zcalendar"]
+
+    @zcalendar.setter
+    def zcalendar(self, val):
+        self["zcalendar"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alphahull
+            Determines how the mesh surface triangles are derived
+            from the set of vertices (points) represented by the
+            `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays
+            are not supplied. For general use of `mesh3d` it is
+            preferred that `i`, `j`, `k` are supplied. If "-1",
+            Delaunay triangulation is used, which is mainly
+            suitable if the mesh is a single, more or less layer
+            surface that is perpendicular to `delaunayaxis`. In
+            case the `delaunayaxis` intersects the mesh surface at
+            more than one point it will result triangles that are
+            very long in the dimension of `delaunayaxis`. If ">0",
+            the alpha-shape algorithm is used. In this case, the
+            positive `alphahull` value signals the use of the
+            alpha-shape algorithm, _and_ its value acts as the
+            parameter for the mesh fitting. If 0,  the convex-hull
+            algorithm is used. It is suitable for convex bodies or
+            if the intention is to enclose the `x`, `y` and `z`
+            point set into a convex hull.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here `intensity`) or
+            the bounds set in `cmin` and `cmax`  Defaults to
+            `false` when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as `intensity` and if set, `cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as `intensity`. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as `intensity` and if set, `cmax`
+            must be set as well.
+        color
+            Sets the color of the whole mesh
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.mesh3d.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contour
+            :class:`plotly.graph_objects.mesh3d.Contour` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        delaunayaxis
+            Sets the Delaunay axis, which is the axis that is
+            perpendicular to the surface of the Delaunay
+            triangulation. It has an effect if `i`, `j`, `k` are
+            not provided and `alphahull` is set to indicate
+            Delaunay triangulation.
+        facecolor
+            Sets the color of each face Overrides "color" and
+            "vertexcolor".
+        facecolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            facecolor .
+        flatshading
+            Determines whether or not normal smoothing is applied
+            to the meshes, creating meshes with an angular, low-
+            poly look via flat reflections.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.mesh3d.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        i
+            A vector of vertex indices, i.e. integer values between
+            0 and the length of the vertex vectors, representing
+            the "first" vertex of a triangle. For example, `{i[m],
+            j[m], k[m]}` together represent face m (triangle m) in
+            the mesh, where `i[m] = n` points to the triplet
+            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
+            each element in `i` represents a point in space, which
+            is the first vertex of a triangle.
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        intensity
+            Sets the intensity values for vertices or cells as
+            defined by `intensitymode`. It can be used for plotting
+            fields on meshes.
+        intensitymode
+            Determines the source of `intensity` values.
+        intensitysrc
+            Sets the source reference on Chart Studio Cloud for
+            intensity .
+        isrc
+            Sets the source reference on Chart Studio Cloud for  i
+            .
+        j
+            A vector of vertex indices, i.e. integer values between
+            0 and the length of the vertex vectors, representing
+            the "second" vertex of a triangle. For example, `{i[m],
+            j[m], k[m]}`  together represent face m (triangle m) in
+            the mesh, where `j[m] = n` points to the triplet
+            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
+            each element in `j` represents a point in space, which
+            is the second vertex of a triangle.
+        jsrc
+            Sets the source reference on Chart Studio Cloud for  j
+            .
+        k
+            A vector of vertex indices, i.e. integer values between
+            0 and the length of the vertex vectors, representing
+            the "third" vertex of a triangle. For example, `{i[m],
+            j[m], k[m]}` together represent face m (triangle m) in
+            the mesh, where `k[m] = n` points to the triplet
+            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
+            each element in `k` represents a point in space, which
+            is the third vertex of a triangle.
+        ksrc
+            Sets the source reference on Chart Studio Cloud for  k
+            .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.mesh3d.Lighting` instance
+            or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.mesh3d.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.mesh3d.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with the vertices. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        vertexcolor
+            Sets the color of each vertex Overrides "color". While
+            Red, green and blue colors are in the range of 0 and
+            255; in the case of having vertex color data in RGBA
+            format, the alpha color should be normalized to be
+            between 0 and 1.
+        vertexcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            vertexcolor .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the X coordinates of the vertices. The nth element
+            of vectors `x`, `y` and `z` jointly represent the X, Y
+            and Z coordinates of the nth vertex.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the Y coordinates of the vertices. The nth element
+            of vectors `x`, `y` and `z` jointly represent the X, Y
+            and Z coordinates of the nth vertex.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the Z coordinates of the vertices. The nth element
+            of vectors `x`, `y` and `z` jointly represent the X, Y
+            and Z coordinates of the nth vertex.
+        zcalendar
+            Sets the calendar system to use with `z` date data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alphahull=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        contour=None,
+        customdata=None,
+        customdatasrc=None,
+        delaunayaxis=None,
+        facecolor=None,
+        facecolorsrc=None,
+        flatshading=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        i=None,
+        ids=None,
+        idssrc=None,
+        intensity=None,
+        intensitymode=None,
+        intensitysrc=None,
+        isrc=None,
+        j=None,
+        jsrc=None,
+        k=None,
+        ksrc=None,
+        legendgroup=None,
+        lighting=None,
+        lightposition=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        reversescale=None,
+        scene=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        vertexcolor=None,
+        vertexcolorsrc=None,
+        visible=None,
+        x=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        ycalendar=None,
+        ysrc=None,
+        z=None,
+        zcalendar=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Mesh3d object
+        
+        Draws sets of triangles with coordinates given by three
+        1-dimensional arrays in `x`, `y`, `z` and (1) a sets of `i`,
+        `j`, `k` indices (2) Delaunay triangulation or (3) the Alpha-
+        shape algorithm or (4) the Convex-hull algorithm
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Mesh3d`
+        alphahull
+            Determines how the mesh surface triangles are derived
+            from the set of vertices (points) represented by the
+            `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays
+            are not supplied. For general use of `mesh3d` it is
+            preferred that `i`, `j`, `k` are supplied. If "-1",
+            Delaunay triangulation is used, which is mainly
+            suitable if the mesh is a single, more or less layer
+            surface that is perpendicular to `delaunayaxis`. In
+            case the `delaunayaxis` intersects the mesh surface at
+            more than one point it will result triangles that are
+            very long in the dimension of `delaunayaxis`. If ">0",
+            the alpha-shape algorithm is used. In this case, the
+            positive `alphahull` value signals the use of the
+            alpha-shape algorithm, _and_ its value acts as the
+            parameter for the mesh fitting. If 0,  the convex-hull
+            algorithm is used. It is suitable for convex bodies or
+            if the intention is to enclose the `x`, `y` and `z`
+            point set into a convex hull.
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here `intensity`) or
+            the bounds set in `cmin` and `cmax`  Defaults to
+            `false` when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as `intensity` and if set, `cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as `intensity`. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as `intensity` and if set, `cmax`
+            must be set as well.
+        color
+            Sets the color of the whole mesh
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.mesh3d.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contour
+            :class:`plotly.graph_objects.mesh3d.Contour` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        delaunayaxis
+            Sets the Delaunay axis, which is the axis that is
+            perpendicular to the surface of the Delaunay
+            triangulation. It has an effect if `i`, `j`, `k` are
+            not provided and `alphahull` is set to indicate
+            Delaunay triangulation.
+        facecolor
+            Sets the color of each face Overrides "color" and
+            "vertexcolor".
+        facecolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            facecolor .
+        flatshading
+            Determines whether or not normal smoothing is applied
+            to the meshes, creating meshes with an angular, low-
+            poly look via flat reflections.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.mesh3d.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        i
+            A vector of vertex indices, i.e. integer values between
+            0 and the length of the vertex vectors, representing
+            the "first" vertex of a triangle. For example, `{i[m],
+            j[m], k[m]}` together represent face m (triangle m) in
+            the mesh, where `i[m] = n` points to the triplet
+            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
+            each element in `i` represents a point in space, which
+            is the first vertex of a triangle.
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        intensity
+            Sets the intensity values for vertices or cells as
+            defined by `intensitymode`. It can be used for plotting
+            fields on meshes.
+        intensitymode
+            Determines the source of `intensity` values.
+        intensitysrc
+            Sets the source reference on Chart Studio Cloud for
+            intensity .
+        isrc
+            Sets the source reference on Chart Studio Cloud for  i
+            .
+        j
+            A vector of vertex indices, i.e. integer values between
+            0 and the length of the vertex vectors, representing
+            the "second" vertex of a triangle. For example, `{i[m],
+            j[m], k[m]}`  together represent face m (triangle m) in
+            the mesh, where `j[m] = n` points to the triplet
+            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
+            each element in `j` represents a point in space, which
+            is the second vertex of a triangle.
+        jsrc
+            Sets the source reference on Chart Studio Cloud for  j
+            .
+        k
+            A vector of vertex indices, i.e. integer values between
+            0 and the length of the vertex vectors, representing
+            the "third" vertex of a triangle. For example, `{i[m],
+            j[m], k[m]}` together represent face m (triangle m) in
+            the mesh, where `k[m] = n` points to the triplet
+            `{x[n], y[n], z[n]}` in the vertex arrays. Therefore,
+            each element in `k` represents a point in space, which
+            is the third vertex of a triangle.
+        ksrc
+            Sets the source reference on Chart Studio Cloud for  k
+            .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.mesh3d.Lighting` instance
+            or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.mesh3d.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.mesh3d.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with the vertices. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        vertexcolor
+            Sets the color of each vertex Overrides "color". While
+            Red, green and blue colors are in the range of 0 and
+            255; in the case of having vertex color data in RGBA
+            format, the alpha color should be normalized to be
+            between 0 and 1.
+        vertexcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            vertexcolor .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the X coordinates of the vertices. The nth element
+            of vectors `x`, `y` and `z` jointly represent the X, Y
+            and Z coordinates of the nth vertex.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the Y coordinates of the vertices. The nth element
+            of vectors `x`, `y` and `z` jointly represent the X, Y
+            and Z coordinates of the nth vertex.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the Z coordinates of the vertices. The nth element
+            of vectors `x`, `y` and `z` jointly represent the X, Y
+            and Z coordinates of the nth vertex.
+        zcalendar
+            Sets the calendar system to use with `z` date data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Mesh3d
+        """
+        super(Mesh3d, self).__init__("mesh3d")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Mesh3d 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Mesh3d`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alphahull", None)
+        _v = alphahull if alphahull is not None else _v
+        if _v is not None:
+            self["alphahull"] = _v
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("contour", None)
+        _v = contour if contour is not None else _v
+        if _v is not None:
+            self["contour"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("delaunayaxis", None)
+        _v = delaunayaxis if delaunayaxis is not None else _v
+        if _v is not None:
+            self["delaunayaxis"] = _v
+        _v = arg.pop("facecolor", None)
+        _v = facecolor if facecolor is not None else _v
+        if _v is not None:
+            self["facecolor"] = _v
+        _v = arg.pop("facecolorsrc", None)
+        _v = facecolorsrc if facecolorsrc is not None else _v
+        if _v is not None:
+            self["facecolorsrc"] = _v
+        _v = arg.pop("flatshading", None)
+        _v = flatshading if flatshading is not None else _v
+        if _v is not None:
+            self["flatshading"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("i", None)
+        _v = i if i is not None else _v
+        if _v is not None:
+            self["i"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("intensity", None)
+        _v = intensity if intensity is not None else _v
+        if _v is not None:
+            self["intensity"] = _v
+        _v = arg.pop("intensitymode", None)
+        _v = intensitymode if intensitymode is not None else _v
+        if _v is not None:
+            self["intensitymode"] = _v
+        _v = arg.pop("intensitysrc", None)
+        _v = intensitysrc if intensitysrc is not None else _v
+        if _v is not None:
+            self["intensitysrc"] = _v
+        _v = arg.pop("isrc", None)
+        _v = isrc if isrc is not None else _v
+        if _v is not None:
+            self["isrc"] = _v
+        _v = arg.pop("j", None)
+        _v = j if j is not None else _v
+        if _v is not None:
+            self["j"] = _v
+        _v = arg.pop("jsrc", None)
+        _v = jsrc if jsrc is not None else _v
+        if _v is not None:
+            self["jsrc"] = _v
+        _v = arg.pop("k", None)
+        _v = k if k is not None else _v
+        if _v is not None:
+            self["k"] = _v
+        _v = arg.pop("ksrc", None)
+        _v = ksrc if ksrc is not None else _v
+        if _v is not None:
+            self["ksrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lighting", None)
+        _v = lighting if lighting is not None else _v
+        if _v is not None:
+            self["lighting"] = _v
+        _v = arg.pop("lightposition", None)
+        _v = lightposition if lightposition is not None else _v
+        if _v is not None:
+            self["lightposition"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("vertexcolor", None)
+        _v = vertexcolor if vertexcolor is not None else _v
+        if _v is not None:
+            self["vertexcolor"] = _v
+        _v = arg.pop("vertexcolorsrc", None)
+        _v = vertexcolorsrc if vertexcolorsrc is not None else _v
+        if _v is not None:
+            self["vertexcolorsrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zcalendar", None)
+        _v = zcalendar if zcalendar is not None else _v
+        if _v is not None:
+            self["zcalendar"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "mesh3d"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_ohlc.py b/packages/python/plotly/plotly/graph_objs/_ohlc.py
new file mode 100644
index 00000000000..d5edb9f0627
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_ohlc.py
@@ -0,0 +1,1577 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Ohlc(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "ohlc"
+    _valid_props = {
+        "close",
+        "closesrc",
+        "customdata",
+        "customdatasrc",
+        "decreasing",
+        "high",
+        "highsrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "increasing",
+        "legendgroup",
+        "line",
+        "low",
+        "lowsrc",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "open",
+        "opensrc",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textsrc",
+        "tickwidth",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "yaxis",
+    }
+
+    # close
+    # -----
+    @property
+    def close(self):
+        """
+        Sets the close values.
+    
+        The 'close' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["close"]
+
+    @close.setter
+    def close(self, val):
+        self["close"] = val
+
+    # closesrc
+    # --------
+    @property
+    def closesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  close .
+    
+        The 'closesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["closesrc"]
+
+    @closesrc.setter
+    def closesrc(self, val):
+        self["closesrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # decreasing
+    # ----------
+    @property
+    def decreasing(self):
+        """
+        The 'decreasing' property is an instance of Decreasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.Decreasing`
+          - A dict of string/value properties that will be passed
+            to the Decreasing constructor
+    
+            Supported dict properties:
+                
+                line
+                    :class:`plotly.graph_objects.ohlc.decreasing.Li
+                    ne` instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.Decreasing
+        """
+        return self["decreasing"]
+
+    @decreasing.setter
+    def decreasing(self, val):
+        self["decreasing"] = val
+
+    # high
+    # ----
+    @property
+    def high(self):
+        """
+        Sets the high values.
+    
+        The 'high' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["high"]
+
+    @high.setter
+    def high(self, val):
+        self["high"] = val
+
+    # highsrc
+    # -------
+    @property
+    def highsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  high .
+    
+        The 'highsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["highsrc"]
+
+    @highsrc.setter
+    def highsrc(self, val):
+        self["highsrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+                split
+                    Show hover information (open, close, high, low)
+                    in separate labels.
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # increasing
+    # ----------
+    @property
+    def increasing(self):
+        """
+        The 'increasing' property is an instance of Increasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.Increasing`
+          - A dict of string/value properties that will be passed
+            to the Increasing constructor
+    
+            Supported dict properties:
+                
+                line
+                    :class:`plotly.graph_objects.ohlc.increasing.Li
+                    ne` instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.Increasing
+        """
+        return self["increasing"]
+
+    @increasing.setter
+    def increasing(self, val):
+        self["increasing"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                    Note that this style setting can also be set
+                    per direction via `increasing.line.dash` and
+                    `decreasing.line.dash`.
+                width
+                    [object Object] Note that this style setting
+                    can also be set per direction via
+                    `increasing.line.width` and
+                    `decreasing.line.width`.
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # low
+    # ---
+    @property
+    def low(self):
+        """
+        Sets the low values.
+    
+        The 'low' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["low"]
+
+    @low.setter
+    def low(self, val):
+        self["low"] = val
+
+    # lowsrc
+    # ------
+    @property
+    def lowsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  low .
+    
+        The 'lowsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["lowsrc"]
+
+    @lowsrc.setter
+    def lowsrc(self, val):
+        self["lowsrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # open
+    # ----
+    @property
+    def open(self):
+        """
+        Sets the open values.
+    
+        The 'open' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["open"]
+
+    @open.setter
+    def open(self, val):
+        self["open"] = val
+
+    # opensrc
+    # -------
+    @property
+    def opensrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  open .
+    
+        The 'opensrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opensrc"]
+
+    @opensrc.setter
+    def opensrc(self, val):
+        self["opensrc"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets hover text elements associated with each sample point. If
+        a single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        this trace's sample points.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the width of the open/close tick marks relative to the "x"
+        minimal interval.
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, 0.5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates. If absent, linear coordinate will be
+        generated.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        close
+            Sets the close values.
+        closesrc
+            Sets the source reference on Chart Studio Cloud for
+            close .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        decreasing
+            :class:`plotly.graph_objects.ohlc.Decreasing` instance
+            or dict with compatible properties
+        high
+            Sets the high values.
+        highsrc
+            Sets the source reference on Chart Studio Cloud for
+            high .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.ohlc.Hoverlabel` instance
+            or dict with compatible properties
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        increasing
+            :class:`plotly.graph_objects.ohlc.Increasing` instance
+            or dict with compatible properties
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.ohlc.Line` instance or
+            dict with compatible properties
+        low
+            Sets the low values.
+        lowsrc
+            Sets the source reference on Chart Studio Cloud for
+            low .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        open
+            Sets the open values.
+        opensrc
+            Sets the source reference on Chart Studio Cloud for
+            open .
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.ohlc.Stream` instance or
+            dict with compatible properties
+        text
+            Sets hover text elements associated with each sample
+            point. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to this trace's sample points.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        tickwidth
+            Sets the width of the open/close tick marks relative to
+            the "x" minimal interval.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates. If absent, linear coordinate
+            will be generated.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        close=None,
+        closesrc=None,
+        customdata=None,
+        customdatasrc=None,
+        decreasing=None,
+        high=None,
+        highsrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        increasing=None,
+        legendgroup=None,
+        line=None,
+        low=None,
+        lowsrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        open=None,
+        opensrc=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        tickwidth=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        yaxis=None,
+        **kwargs
+    ):
+        """
+        Construct a new Ohlc object
+        
+        The ohlc (short for Open-High-Low-Close) is a style of
+        financial chart describing open, high, low and close for a
+        given `x` coordinate (most likely time). The tip of the lines
+        represent the `low` and `high` values and the horizontal
+        segments represent the `open` and `close` values. Sample points
+        where the close value is higher (lower) then the open value are
+        called increasing (decreasing). By default, increasing items
+        are drawn in green whereas decreasing are drawn in red.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Ohlc`
+        close
+            Sets the close values.
+        closesrc
+            Sets the source reference on Chart Studio Cloud for
+            close .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        decreasing
+            :class:`plotly.graph_objects.ohlc.Decreasing` instance
+            or dict with compatible properties
+        high
+            Sets the high values.
+        highsrc
+            Sets the source reference on Chart Studio Cloud for
+            high .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.ohlc.Hoverlabel` instance
+            or dict with compatible properties
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        increasing
+            :class:`plotly.graph_objects.ohlc.Increasing` instance
+            or dict with compatible properties
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.ohlc.Line` instance or
+            dict with compatible properties
+        low
+            Sets the low values.
+        lowsrc
+            Sets the source reference on Chart Studio Cloud for
+            low .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        open
+            Sets the open values.
+        opensrc
+            Sets the source reference on Chart Studio Cloud for
+            open .
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.ohlc.Stream` instance or
+            dict with compatible properties
+        text
+            Sets hover text elements associated with each sample
+            point. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to this trace's sample points.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        tickwidth
+            Sets the width of the open/close tick marks relative to
+            the "x" minimal interval.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates. If absent, linear coordinate
+            will be generated.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+
+        Returns
+        -------
+        Ohlc
+        """
+        super(Ohlc, self).__init__("ohlc")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Ohlc 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Ohlc`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("close", None)
+        _v = close if close is not None else _v
+        if _v is not None:
+            self["close"] = _v
+        _v = arg.pop("closesrc", None)
+        _v = closesrc if closesrc is not None else _v
+        if _v is not None:
+            self["closesrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("decreasing", None)
+        _v = decreasing if decreasing is not None else _v
+        if _v is not None:
+            self["decreasing"] = _v
+        _v = arg.pop("high", None)
+        _v = high if high is not None else _v
+        if _v is not None:
+            self["high"] = _v
+        _v = arg.pop("highsrc", None)
+        _v = highsrc if highsrc is not None else _v
+        if _v is not None:
+            self["highsrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("increasing", None)
+        _v = increasing if increasing is not None else _v
+        if _v is not None:
+            self["increasing"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("low", None)
+        _v = low if low is not None else _v
+        if _v is not None:
+            self["low"] = _v
+        _v = arg.pop("lowsrc", None)
+        _v = lowsrc if lowsrc is not None else _v
+        if _v is not None:
+            self["lowsrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("open", None)
+        _v = open if open is not None else _v
+        if _v is not None:
+            self["open"] = _v
+        _v = arg.pop("opensrc", None)
+        _v = opensrc if opensrc is not None else _v
+        if _v is not None:
+            self["opensrc"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "ohlc"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_parcats.py b/packages/python/plotly/plotly/graph_objs/_parcats.py
new file mode 100644
index 00000000000..4f047f86392
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_parcats.py
@@ -0,0 +1,1227 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Parcats(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "parcats"
+    _valid_props = {
+        "arrangement",
+        "bundlecolors",
+        "counts",
+        "countssrc",
+        "dimensiondefaults",
+        "dimensions",
+        "domain",
+        "hoverinfo",
+        "hoveron",
+        "hovertemplate",
+        "labelfont",
+        "line",
+        "meta",
+        "metasrc",
+        "name",
+        "sortpaths",
+        "stream",
+        "tickfont",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+    }
+
+    # arrangement
+    # -----------
+    @property
+    def arrangement(self):
+        """
+        Sets the drag interaction mode for categories and dimensions.
+        If `perpendicular`, the categories can only move along a line
+        perpendicular to the paths. If `freeform`, the categories can
+        freely move on the plane. If `fixed`, the categories and
+        dimensions are stationary.
+    
+        The 'arrangement' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['perpendicular', 'freeform', 'fixed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["arrangement"]
+
+    @arrangement.setter
+    def arrangement(self, val):
+        self["arrangement"] = val
+
+    # bundlecolors
+    # ------------
+    @property
+    def bundlecolors(self):
+        """
+        Sort paths so that like colors are bundled together within each
+        category.
+    
+        The 'bundlecolors' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["bundlecolors"]
+
+    @bundlecolors.setter
+    def bundlecolors(self, val):
+        self["bundlecolors"] = val
+
+    # counts
+    # ------
+    @property
+    def counts(self):
+        """
+        The number of observations represented by each state. Defaults
+        to 1 so that each state represents one observation
+    
+        The 'counts' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["counts"]
+
+    @counts.setter
+    def counts(self, val):
+        self["counts"] = val
+
+    # countssrc
+    # ---------
+    @property
+    def countssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  counts .
+    
+        The 'countssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["countssrc"]
+
+    @countssrc.setter
+    def countssrc(self, val):
+        self["countssrc"] = val
+
+    # dimensions
+    # ----------
+    @property
+    def dimensions(self):
+        """
+        The dimensions (variables) of the parallel categories diagram.
+    
+        The 'dimensions' property is a tuple of instances of
+        Dimension that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.parcats.Dimension
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Dimension constructor
+    
+            Supported dict properties:
+                
+                categoryarray
+                    Sets the order in which categories in this
+                    dimension appear. Only has an effect if
+                    `categoryorder` is set to "array". Used with
+                    `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the categories
+                    in the dimension. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`.
+                displayindex
+                    The display index of dimension, from left to
+                    right, zero indexed, defaults to dimension
+                    index.
+                label
+                    The shown name of the dimension.
+                ticktext
+                    Sets alternative tick labels for the categories
+                    in this dimension. Only has an effect if
+                    `categoryorder` is set to "array". Should be an
+                    array the same length as `categoryarray` Used
+                    with `categoryorder`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                values
+                    Dimension values. `values[n]` represents the
+                    category value of the `n`th point in the
+                    dataset, therefore the `values` vector for all
+                    dimensions must be the same (longer vectors
+                    will be truncated).
+                valuessrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  values .
+                visible
+                    Shows the dimension when set to `true` (the
+                    default). Hides the dimension for `false`.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.parcats.Dimension]
+        """
+        return self["dimensions"]
+
+    @dimensions.setter
+    def dimensions(self, val):
+        self["dimensions"] = val
+
+    # dimensiondefaults
+    # -----------------
+    @property
+    def dimensiondefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.parcats.dimensiondefaults), sets the
+        default property values to use for elements of
+        parcats.dimensions
+    
+        The 'dimensiondefaults' property is an instance of Dimension
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.Dimension`
+          - A dict of string/value properties that will be passed
+            to the Dimension constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.Dimension
+        """
+        return self["dimensiondefaults"]
+
+    @dimensiondefaults.setter
+    def dimensiondefaults(self, val):
+        self["dimensiondefaults"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this parcats trace
+                    .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this parcats trace .
+                x
+                    Sets the horizontal domain of this parcats
+                    trace (in plot fraction).
+                y
+                    Sets the vertical domain of this parcats trace
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['count', 'probability'] joined with '+' characters
+            (e.g. 'count+probability')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Sets the hover interaction mode for the parcats diagram. If
+        `category`, hover interaction take place per category. If
+        `color`, hover interactions take place per color per category.
+        If `dimension`, hover interactions take place across all
+        categories per dimension.
+    
+        The 'hoveron' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['category', 'color', 'dimension']
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `count`, `probability`, `category`, `categorycount`,
+        `colorcount` and `bandcolorcount`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # labelfont
+    # ---------
+    @property
+    def labelfont(self):
+        """
+        Sets the font for the `dimension` labels.
+    
+        The 'labelfont' property is an instance of Labelfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.Labelfont`
+          - A dict of string/value properties that will be passed
+            to the Labelfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.Labelfont
+        """
+        return self["labelfont"]
+
+    @labelfont.setter
+    def labelfont(self, val):
+        self["labelfont"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `line.colorscale`. Has an effect
+                    only if in `line.color`is set to a numerical
+                    array. In case `colorscale` is unspecified or
+                    `autocolorscale` is true, the default  palette
+                    will be chosen according to whether numbers in
+                    the `color` array are all positive, all
+                    negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `line.color`) or the bounds set in
+                    `line.cmin` and `line.cmax`  Has an effect only
+                    if in `line.color`is set to a numerical array.
+                    Defaults to `false` when `line.cmin` and
+                    `line.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `line.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `line.color` and if set,
+                    `line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `line.cmin` and/or `line.cmax` to be
+                    equidistant to this point. Has an effect only
+                    if in `line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `line.color`. Has no effect when `line.cauto`
+                    is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `line.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `line.color` and if set,
+                    `line.cmax` must be set as well.
+                color
+                    Sets thelinecolor. It accepts either a specific
+                    color or an array of numbers that are mapped to
+                    the colorscale relative to the max and min
+                    values of the array or relative to `line.cmin`
+                    and `line.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.parcats.line.Color
+                    Bar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `line.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`line.cmin` and `line.cmax`.
+                    Alternatively, `colorscale` may be a palette
+                    name string of the following list: Greys,YlGnBu
+                    ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
+                    ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
+                    c,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                hovertemplate
+                    Template string used for rendering the
+                    information that appear on hover box. Note that
+                    this will override `hoverinfo`. Variables are
+                    inserted using %{variable}, for example "y:
+                    %{y}". Numbers are formatted using d3-format's
+                    syntax %{variable:d3-format}, for example
+                    "Price: %{y:$.2f}".
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    for details on the formatting syntax. Dates are
+                    formatted using d3-time-format's syntax
+                    %{variable|d3-time-format}, for example "Day:
+                    %{2019-01-01|%A}".
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    for details on the date formatting syntax. The
+                    variables available in `hovertemplate` are the
+                    ones emitted as event data described at this
+                    link https://plotly.com/javascript/plotlyjs-
+                    events/#event-data. Additionally, every
+                    attributes that can be specified per-point (the
+                    ones that are `arrayOk: true`) are available.
+                    variables `count` and `probability`. Anything
+                    contained in tag `<extra>` is displayed in the
+                    secondary box, for example
+                    "<extra>{fullData.name}</extra>". To hide the
+                    secondary box completely, use an empty tag
+                    `<extra></extra>`.
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `line.color`is set to a
+                    numerical array. If true, `line.cmin` will
+                    correspond to the last color in the array and
+                    `line.cmax` will correspond to the first color.
+                shape
+                    Sets the shape of the paths. If `linear`, paths
+                    are composed of straight lines. If `hspline`,
+                    paths are composed of horizontal curved splines
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `line.color`is set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # sortpaths
+    # ---------
+    @property
+    def sortpaths(self):
+        """
+        Sets the path sorting algorithm. If `forward`, sort paths based
+        on dimension categories from left to right. If `backward`, sort
+        paths based on dimensions categories from right to left.
+    
+        The 'sortpaths' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['forward', 'backward']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sortpaths"]
+
+    @sortpaths.setter
+    def sortpaths(self, val):
+        self["sortpaths"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the font for the `category` labels.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        arrangement
+            Sets the drag interaction mode for categories and
+            dimensions. If `perpendicular`, the categories can only
+            move along a line perpendicular to the paths. If
+            `freeform`, the categories can freely move on the
+            plane. If `fixed`, the categories and dimensions are
+            stationary.
+        bundlecolors
+            Sort paths so that like colors are bundled together
+            within each category.
+        counts
+            The number of observations represented by each state.
+            Defaults to 1 so that each state represents one
+            observation
+        countssrc
+            Sets the source reference on Chart Studio Cloud for
+            counts .
+        dimensions
+            The dimensions (variables) of the parallel categories
+            diagram.
+        dimensiondefaults
+            When used in a template (as
+            layout.template.data.parcats.dimensiondefaults), sets
+            the default property values to use for elements of
+            parcats.dimensions
+        domain
+            :class:`plotly.graph_objects.parcats.Domain` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoveron
+            Sets the hover interaction mode for the parcats
+            diagram. If `category`, hover interaction take place
+            per category. If `color`, hover interactions take place
+            per color per category. If `dimension`, hover
+            interactions take place across all categories per
+            dimension.
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `count`, `probability`,
+            `category`, `categorycount`, `colorcount` and
+            `bandcolorcount`. Anything contained in tag `<extra>`
+            is displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        labelfont
+            Sets the font for the `dimension` labels.
+        line
+            :class:`plotly.graph_objects.parcats.Line` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        sortpaths
+            Sets the path sorting algorithm. If `forward`, sort
+            paths based on dimension categories from left to right.
+            If `backward`, sort paths based on dimensions
+            categories from right to left.
+        stream
+            :class:`plotly.graph_objects.parcats.Stream` instance
+            or dict with compatible properties
+        tickfont
+            Sets the font for the `category` labels.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        arrangement=None,
+        bundlecolors=None,
+        counts=None,
+        countssrc=None,
+        dimensions=None,
+        dimensiondefaults=None,
+        domain=None,
+        hoverinfo=None,
+        hoveron=None,
+        hovertemplate=None,
+        labelfont=None,
+        line=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        sortpaths=None,
+        stream=None,
+        tickfont=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Parcats object
+        
+        Parallel categories diagram for multidimensional categorical
+        data.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Parcats`
+        arrangement
+            Sets the drag interaction mode for categories and
+            dimensions. If `perpendicular`, the categories can only
+            move along a line perpendicular to the paths. If
+            `freeform`, the categories can freely move on the
+            plane. If `fixed`, the categories and dimensions are
+            stationary.
+        bundlecolors
+            Sort paths so that like colors are bundled together
+            within each category.
+        counts
+            The number of observations represented by each state.
+            Defaults to 1 so that each state represents one
+            observation
+        countssrc
+            Sets the source reference on Chart Studio Cloud for
+            counts .
+        dimensions
+            The dimensions (variables) of the parallel categories
+            diagram.
+        dimensiondefaults
+            When used in a template (as
+            layout.template.data.parcats.dimensiondefaults), sets
+            the default property values to use for elements of
+            parcats.dimensions
+        domain
+            :class:`plotly.graph_objects.parcats.Domain` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoveron
+            Sets the hover interaction mode for the parcats
+            diagram. If `category`, hover interaction take place
+            per category. If `color`, hover interactions take place
+            per color per category. If `dimension`, hover
+            interactions take place across all categories per
+            dimension.
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `count`, `probability`,
+            `category`, `categorycount`, `colorcount` and
+            `bandcolorcount`. Anything contained in tag `<extra>`
+            is displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        labelfont
+            Sets the font for the `dimension` labels.
+        line
+            :class:`plotly.graph_objects.parcats.Line` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        sortpaths
+            Sets the path sorting algorithm. If `forward`, sort
+            paths based on dimension categories from left to right.
+            If `backward`, sort paths based on dimensions
+            categories from right to left.
+        stream
+            :class:`plotly.graph_objects.parcats.Stream` instance
+            or dict with compatible properties
+        tickfont
+            Sets the font for the `category` labels.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Parcats
+        """
+        super(Parcats, self).__init__("parcats")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Parcats 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Parcats`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("arrangement", None)
+        _v = arrangement if arrangement is not None else _v
+        if _v is not None:
+            self["arrangement"] = _v
+        _v = arg.pop("bundlecolors", None)
+        _v = bundlecolors if bundlecolors is not None else _v
+        if _v is not None:
+            self["bundlecolors"] = _v
+        _v = arg.pop("counts", None)
+        _v = counts if counts is not None else _v
+        if _v is not None:
+            self["counts"] = _v
+        _v = arg.pop("countssrc", None)
+        _v = countssrc if countssrc is not None else _v
+        if _v is not None:
+            self["countssrc"] = _v
+        _v = arg.pop("dimensions", None)
+        _v = dimensions if dimensions is not None else _v
+        if _v is not None:
+            self["dimensions"] = _v
+        _v = arg.pop("dimensiondefaults", None)
+        _v = dimensiondefaults if dimensiondefaults is not None else _v
+        if _v is not None:
+            self["dimensiondefaults"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("labelfont", None)
+        _v = labelfont if labelfont is not None else _v
+        if _v is not None:
+            self["labelfont"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("sortpaths", None)
+        _v = sortpaths if sortpaths is not None else _v
+        if _v is not None:
+            self["sortpaths"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "parcats"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_parcoords.py b/packages/python/plotly/plotly/graph_objs/_parcoords.py
new file mode 100644
index 00000000000..7f94df10288
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_parcoords.py
@@ -0,0 +1,1136 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Parcoords(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "parcoords"
+    _valid_props = {
+        "customdata",
+        "customdatasrc",
+        "dimensiondefaults",
+        "dimensions",
+        "domain",
+        "ids",
+        "idssrc",
+        "labelangle",
+        "labelfont",
+        "labelside",
+        "line",
+        "meta",
+        "metasrc",
+        "name",
+        "rangefont",
+        "stream",
+        "tickfont",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+    }
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dimensions
+    # ----------
+    @property
+    def dimensions(self):
+        """
+        The dimensions (variables) of the parallel coordinates chart.
+        2..60 dimensions are supported.
+    
+        The 'dimensions' property is a tuple of instances of
+        Dimension that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.parcoords.Dimension
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Dimension constructor
+    
+            Supported dict properties:
+                
+                constraintrange
+                    The domain range to which the filter on the
+                    dimension is constrained. Must be an array of
+                    `[fromValue, toValue]` with `fromValue <=
+                    toValue`, or if `multiselect` is not disabled,
+                    you may give an array of arrays, where each
+                    inner array is `[fromValue, toValue]`.
+                label
+                    The shown name of the dimension.
+                multiselect
+                    Do we allow multiple selection ranges or just a
+                    single range?
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                range
+                    The domain range that represents the full,
+                    shown axis extent. Defaults to the `values`
+                    extent. Must be an array of `[fromValue,
+                    toValue]` with finite numbers as elements.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                values
+                    Dimension values. `values[n]` represents the
+                    value of the `n`th point in the dataset,
+                    therefore the `values` vector for all
+                    dimensions must be the same (longer vectors
+                    will be truncated). Each value must be a finite
+                    number.
+                valuessrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  values .
+                visible
+                    Shows the dimension when set to `true` (the
+                    default). Hides the dimension for `false`.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.parcoords.Dimension]
+        """
+        return self["dimensions"]
+
+    @dimensions.setter
+    def dimensions(self, val):
+        self["dimensions"] = val
+
+    # dimensiondefaults
+    # -----------------
+    @property
+    def dimensiondefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.parcoords.dimensiondefaults), sets the
+        default property values to use for elements of
+        parcoords.dimensions
+    
+        The 'dimensiondefaults' property is an instance of Dimension
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Dimension`
+          - A dict of string/value properties that will be passed
+            to the Dimension constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Dimension
+        """
+        return self["dimensiondefaults"]
+
+    @dimensiondefaults.setter
+    def dimensiondefaults(self, val):
+        self["dimensiondefaults"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this parcoords
+                    trace .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this parcoords trace .
+                x
+                    Sets the horizontal domain of this parcoords
+                    trace (in plot fraction).
+                y
+                    Sets the vertical domain of this parcoords
+                    trace (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # labelangle
+    # ----------
+    @property
+    def labelangle(self):
+        """
+        Sets the angle of the labels with respect to the horizontal.
+        For example, a `tickangle` of -90 draws the labels vertically.
+        Tilted labels with "labelangle" may be positioned better inside
+        margins when `labelposition` is set to "bottom".
+    
+        The 'labelangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["labelangle"]
+
+    @labelangle.setter
+    def labelangle(self, val):
+        self["labelangle"] = val
+
+    # labelfont
+    # ---------
+    @property
+    def labelfont(self):
+        """
+        Sets the font for the `dimension` labels.
+    
+        The 'labelfont' property is an instance of Labelfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Labelfont`
+          - A dict of string/value properties that will be passed
+            to the Labelfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Labelfont
+        """
+        return self["labelfont"]
+
+    @labelfont.setter
+    def labelfont(self, val):
+        self["labelfont"] = val
+
+    # labelside
+    # ---------
+    @property
+    def labelside(self):
+        """
+        Specifies the location of the `label`. "top" positions labels
+        above, next to the title "bottom" positions labels below the
+        graph Tilted labels with "labelangle" may be positioned better
+        inside margins when `labelposition` is set to "bottom".
+    
+        The 'labelside' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["labelside"]
+
+    @labelside.setter
+    def labelside(self, val):
+        self["labelside"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `line.colorscale`. Has an effect
+                    only if in `line.color`is set to a numerical
+                    array. In case `colorscale` is unspecified or
+                    `autocolorscale` is true, the default  palette
+                    will be chosen according to whether numbers in
+                    the `color` array are all positive, all
+                    negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `line.color`) or the bounds set in
+                    `line.cmin` and `line.cmax`  Has an effect only
+                    if in `line.color`is set to a numerical array.
+                    Defaults to `false` when `line.cmin` and
+                    `line.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `line.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `line.color` and if set,
+                    `line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `line.cmin` and/or `line.cmax` to be
+                    equidistant to this point. Has an effect only
+                    if in `line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `line.color`. Has no effect when `line.cauto`
+                    is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `line.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `line.color` and if set,
+                    `line.cmax` must be set as well.
+                color
+                    Sets thelinecolor. It accepts either a specific
+                    color or an array of numbers that are mapped to
+                    the colorscale relative to the max and min
+                    values of the array or relative to `line.cmin`
+                    and `line.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.parcoords.line.Col
+                    orBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `line.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`line.cmin` and `line.cmax`.
+                    Alternatively, `colorscale` may be a palette
+                    name string of the following list: Greys,YlGnBu
+                    ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
+                    ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
+                    c,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `line.color`is set to a
+                    numerical array. If true, `line.cmin` will
+                    correspond to the last color in the array and
+                    `line.cmax` will correspond to the first color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `line.color`is set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # rangefont
+    # ---------
+    @property
+    def rangefont(self):
+        """
+        Sets the font for the `dimension` range values.
+    
+        The 'rangefont' property is an instance of Rangefont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Rangefont`
+          - A dict of string/value properties that will be passed
+            to the Rangefont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Rangefont
+        """
+        return self["rangefont"]
+
+    @rangefont.setter
+    def rangefont(self, val):
+        self["rangefont"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the font for the `dimension` tick values.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dimensions
+            The dimensions (variables) of the parallel coordinates
+            chart. 2..60 dimensions are supported.
+        dimensiondefaults
+            When used in a template (as
+            layout.template.data.parcoords.dimensiondefaults), sets
+            the default property values to use for elements of
+            parcoords.dimensions
+        domain
+            :class:`plotly.graph_objects.parcoords.Domain` instance
+            or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        labelangle
+            Sets the angle of the labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            labels vertically. Tilted labels with "labelangle" may
+            be positioned better inside margins when
+            `labelposition` is set to "bottom".
+        labelfont
+            Sets the font for the `dimension` labels.
+        labelside
+            Specifies the location of the `label`. "top" positions
+            labels above, next to the title "bottom" positions
+            labels below the graph Tilted labels with "labelangle"
+            may be positioned better inside margins when
+            `labelposition` is set to "bottom".
+        line
+            :class:`plotly.graph_objects.parcoords.Line` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        rangefont
+            Sets the font for the `dimension` range values.
+        stream
+            :class:`plotly.graph_objects.parcoords.Stream` instance
+            or dict with compatible properties
+        tickfont
+            Sets the font for the `dimension` tick values.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        customdata=None,
+        customdatasrc=None,
+        dimensions=None,
+        dimensiondefaults=None,
+        domain=None,
+        ids=None,
+        idssrc=None,
+        labelangle=None,
+        labelfont=None,
+        labelside=None,
+        line=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        rangefont=None,
+        stream=None,
+        tickfont=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Parcoords object
+        
+        Parallel coordinates for multidimensional exploratory data
+        analysis. The samples are specified in `dimensions`. The colors
+        are set in `line.color`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Parcoords`
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dimensions
+            The dimensions (variables) of the parallel coordinates
+            chart. 2..60 dimensions are supported.
+        dimensiondefaults
+            When used in a template (as
+            layout.template.data.parcoords.dimensiondefaults), sets
+            the default property values to use for elements of
+            parcoords.dimensions
+        domain
+            :class:`plotly.graph_objects.parcoords.Domain` instance
+            or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        labelangle
+            Sets the angle of the labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            labels vertically. Tilted labels with "labelangle" may
+            be positioned better inside margins when
+            `labelposition` is set to "bottom".
+        labelfont
+            Sets the font for the `dimension` labels.
+        labelside
+            Specifies the location of the `label`. "top" positions
+            labels above, next to the title "bottom" positions
+            labels below the graph Tilted labels with "labelangle"
+            may be positioned better inside margins when
+            `labelposition` is set to "bottom".
+        line
+            :class:`plotly.graph_objects.parcoords.Line` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        rangefont
+            Sets the font for the `dimension` range values.
+        stream
+            :class:`plotly.graph_objects.parcoords.Stream` instance
+            or dict with compatible properties
+        tickfont
+            Sets the font for the `dimension` tick values.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Parcoords
+        """
+        super(Parcoords, self).__init__("parcoords")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Parcoords 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Parcoords`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dimensions", None)
+        _v = dimensions if dimensions is not None else _v
+        if _v is not None:
+            self["dimensions"] = _v
+        _v = arg.pop("dimensiondefaults", None)
+        _v = dimensiondefaults if dimensiondefaults is not None else _v
+        if _v is not None:
+            self["dimensiondefaults"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("labelangle", None)
+        _v = labelangle if labelangle is not None else _v
+        if _v is not None:
+            self["labelangle"] = _v
+        _v = arg.pop("labelfont", None)
+        _v = labelfont if labelfont is not None else _v
+        if _v is not None:
+            self["labelfont"] = _v
+        _v = arg.pop("labelside", None)
+        _v = labelside if labelside is not None else _v
+        if _v is not None:
+            self["labelside"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("rangefont", None)
+        _v = rangefont if rangefont is not None else _v
+        if _v is not None:
+            self["rangefont"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "parcoords"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_pie.py b/packages/python/plotly/plotly/graph_objs/_pie.py
new file mode 100644
index 00000000000..533dfb1919d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_pie.py
@@ -0,0 +1,2285 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Pie(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "pie"
+    _valid_props = {
+        "automargin",
+        "customdata",
+        "customdatasrc",
+        "direction",
+        "dlabel",
+        "domain",
+        "hole",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "insidetextfont",
+        "insidetextorientation",
+        "label0",
+        "labels",
+        "labelssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "outsidetextfont",
+        "pull",
+        "pullsrc",
+        "rotation",
+        "scalegroup",
+        "showlegend",
+        "sort",
+        "stream",
+        "text",
+        "textfont",
+        "textinfo",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "title",
+        "titlefont",
+        "titleposition",
+        "type",
+        "uid",
+        "uirevision",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # automargin
+    # ----------
+    @property
+    def automargin(self):
+        """
+        Determines whether outside text labels can push the margins.
+    
+        The 'automargin' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["automargin"]
+
+    @automargin.setter
+    def automargin(self, val):
+        self["automargin"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # direction
+    # ---------
+    @property
+    def direction(self):
+        """
+        Specifies the direction at which succeeding sectors follow one
+        another.
+    
+        The 'direction' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['clockwise', 'counterclockwise']
+
+        Returns
+        -------
+        Any
+        """
+        return self["direction"]
+
+    @direction.setter
+    def direction(self, val):
+        self["direction"] = val
+
+    # dlabel
+    # ------
+    @property
+    def dlabel(self):
+        """
+        Sets the label step. See `label0` for more info.
+    
+        The 'dlabel' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dlabel"]
+
+    @dlabel.setter
+    def dlabel(self, val):
+        self["dlabel"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this pie trace .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this pie trace .
+                x
+                    Sets the horizontal domain of this pie trace
+                    (in plot fraction).
+                y
+                    Sets the vertical domain of this pie trace (in
+                    plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # hole
+    # ----
+    @property
+    def hole(self):
+        """
+        Sets the fraction of the radius to cut out of the pie. Use this
+        to make a donut chart.
+    
+        The 'hole' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["hole"]
+
+    @hole.setter
+    def hole(self, val):
+        self["hole"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'percent', 'name'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `label`, `color`, `value`, `percent` and `text`.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each sector. If a
+        single string, the same string appears for all data points. If
+        an array of string, the items are mapped in order of this
+        trace's sectors. To be seen, trace `hoverinfo` must contain a
+        "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying inside the sector.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # insidetextorientation
+    # ---------------------
+    @property
+    def insidetextorientation(self):
+        """
+        Controls the orientation of the text inside chart sectors. When
+        set to "auto", text may be oriented in any direction in order
+        to be as big as possible in the middle of a sector. The
+        "horizontal" option orients text to be parallel with the bottom
+        of the chart, and may make text smaller in order to achieve
+        that goal. The "radial" option orients text along the radius of
+        the sector. The "tangential" option orients text perpendicular
+        to the radius of the sector.
+    
+        The 'insidetextorientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['horizontal', 'radial', 'tangential', 'auto']
+
+        Returns
+        -------
+        Any
+        """
+        return self["insidetextorientation"]
+
+    @insidetextorientation.setter
+    def insidetextorientation(self, val):
+        self["insidetextorientation"] = val
+
+    # label0
+    # ------
+    @property
+    def label0(self):
+        """
+        Alternate to `labels`. Builds a numeric set of labels. Use with
+        `dlabel` where `label0` is the starting label and `dlabel` the
+        step.
+    
+        The 'label0' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["label0"]
+
+    @label0.setter
+    def label0(self, val):
+        self["label0"] = val
+
+    # labels
+    # ------
+    @property
+    def labels(self):
+        """
+        Sets the sector labels. If `labels` entries are duplicated, we
+        sum associated `values` or simply count occurrences if `values`
+        is not provided. For other array attributes (including color)
+        we use the first non-empty entry among all occurrences of the
+        label.
+    
+        The 'labels' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["labels"]
+
+    @labels.setter
+    def labels(self, val):
+        self["labels"] = val
+
+    # labelssrc
+    # ---------
+    @property
+    def labelssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  labels .
+    
+        The 'labelssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["labelssrc"]
+
+    @labelssrc.setter
+    def labelssrc(self, val):
+        self["labelssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                colors
+                    Sets the color of each sector. If not
+                    specified, the default trace color set is used
+                    to pick the sector colors.
+                colorssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  colors .
+                line
+                    :class:`plotly.graph_objects.pie.marker.Line`
+                    instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # outsidetextfont
+    # ---------------
+    @property
+    def outsidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying outside the sector.
+    
+        The 'outsidetextfont' property is an instance of Outsidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Outsidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Outsidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Outsidetextfont
+        """
+        return self["outsidetextfont"]
+
+    @outsidetextfont.setter
+    def outsidetextfont(self, val):
+        self["outsidetextfont"] = val
+
+    # pull
+    # ----
+    @property
+    def pull(self):
+        """
+        Sets the fraction of larger radius to pull the sectors out from
+        the center. This can be a constant to pull all slices apart
+        from each other equally or an array to highlight one or more
+        slices.
+    
+        The 'pull' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["pull"]
+
+    @pull.setter
+    def pull(self, val):
+        self["pull"] = val
+
+    # pullsrc
+    # -------
+    @property
+    def pullsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  pull .
+    
+        The 'pullsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["pullsrc"]
+
+    @pullsrc.setter
+    def pullsrc(self, val):
+        self["pullsrc"] = val
+
+    # rotation
+    # --------
+    @property
+    def rotation(self):
+        """
+        Instead of the first slice starting at 12 o'clock, rotate to
+        some other angle.
+    
+        The 'rotation' property is a number and may be specified as:
+          - An int or float in the interval [-360, 360]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["rotation"]
+
+    @rotation.setter
+    def rotation(self, val):
+        self["rotation"] = val
+
+    # scalegroup
+    # ----------
+    @property
+    def scalegroup(self):
+        """
+        If there are multiple pie charts that should be sized according
+        to their totals, link them by providing a non-empty group id
+        here shared by every trace in the same group.
+    
+        The 'scalegroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["scalegroup"]
+
+    @scalegroup.setter
+    def scalegroup(self, val):
+        self["scalegroup"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # sort
+    # ----
+    @property
+    def sort(self):
+        """
+        Determines whether or not the sectors are reordered from
+        largest to smallest.
+    
+        The 'sort' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["sort"]
+
+    @sort.setter
+    def sort(self, val):
+        self["sort"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each sector. If trace
+        `textinfo` contains a "text" flag, these elements will be seen
+        on the chart. If trace `hoverinfo` contains a "text" flag and
+        "hovertext" is not set, these elements will be seen in the
+        hover labels.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `textinfo`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textinfo
+    # --------
+    @property
+    def textinfo(self):
+        """
+        Determines which trace information appear on the graph.
+    
+        The 'textinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'percent'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["textinfo"]
+
+    @textinfo.setter
+    def textinfo(self, val):
+        self["textinfo"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Specifies the location of the `textinfo`.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'auto', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `label`, `color`, `value`, `percent` and
+        `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets the font used for `title`. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                position
+                    Specifies the location of the `title`. Note
+                    that the title's position used to be set by the
+                    now deprecated `titleposition` attribute.
+                text
+                    Sets the title of the chart. If it is empty, no
+                    title is displayed. Note that before the
+                    existence of `title.text`, the title's contents
+                    used to be defined as the `title` attribute
+                    itself. This behavior has been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.pie.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use pie.title.font instead. Sets the font
+        used for `title`. Note that the title's font used to be set by
+        the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleposition
+    # -------------
+    @property
+    def titleposition(self):
+        """
+        Deprecated: Please use pie.title.position instead. Specifies
+        the location of the `title`. Note that the title's position
+        used to be set by the now deprecated `titleposition` attribute.
+    
+        The 'position' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle center',
+                'bottom left', 'bottom center', 'bottom right']
+
+        Returns
+        -------
+        
+        """
+        return self["titleposition"]
+
+    @titleposition.setter
+    def titleposition(self, val):
+        self["titleposition"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the values of the sectors. If omitted, we count
+        occurrences of each label.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        automargin
+            Determines whether outside text labels can push the
+            margins.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        direction
+            Specifies the direction at which succeeding sectors
+            follow one another.
+        dlabel
+            Sets the label step. See `label0` for more info.
+        domain
+            :class:`plotly.graph_objects.pie.Domain` instance or
+            dict with compatible properties
+        hole
+            Sets the fraction of the radius to cut out of the pie.
+            Use this to make a donut chart.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.pie.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `label`, `color`, `value`,
+            `percent` and `text`. Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        insidetextorientation
+            Controls the orientation of the text inside chart
+            sectors. When set to "auto", text may be oriented in
+            any direction in order to be as big as possible in the
+            middle of a sector. The "horizontal" option orients
+            text to be parallel with the bottom of the chart, and
+            may make text smaller in order to achieve that goal.
+            The "radial" option orients text along the radius of
+            the sector. The "tangential" option orients text
+            perpendicular to the radius of the sector.
+        label0
+            Alternate to `labels`. Builds a numeric set of labels.
+            Use with `dlabel` where `label0` is the starting label
+            and `dlabel` the step.
+        labels
+            Sets the sector labels. If `labels` entries are
+            duplicated, we sum associated `values` or simply count
+            occurrences if `values` is not provided. For other
+            array attributes (including color) we use the first
+            non-empty entry among all occurrences of the label.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.pie.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        outsidetextfont
+            Sets the font used for `textinfo` lying outside the
+            sector.
+        pull
+            Sets the fraction of larger radius to pull the sectors
+            out from the center. This can be a constant to pull all
+            slices apart from each other equally or an array to
+            highlight one or more slices.
+        pullsrc
+            Sets the source reference on Chart Studio Cloud for
+            pull .
+        rotation
+            Instead of the first slice starting at 12 o'clock,
+            rotate to some other angle.
+        scalegroup
+            If there are multiple pie charts that should be sized
+            according to their totals, link them by providing a
+            non-empty group id here shared by every trace in the
+            same group.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        sort
+            Determines whether or not the sectors are reordered
+            from largest to smallest.
+        stream
+            :class:`plotly.graph_objects.pie.Stream` instance or
+            dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textposition
+            Specifies the location of the `textinfo`.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `label`,
+            `color`, `value`, `percent` and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        title
+            :class:`plotly.graph_objects.pie.Title` instance or
+            dict with compatible properties
+        titlefont
+            Deprecated: Please use pie.title.font instead. Sets the
+            font used for `title`. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleposition
+            Deprecated: Please use pie.title.position instead.
+            Specifies the location of the `title`. Note that the
+            title's position used to be set by the now deprecated
+            `titleposition` attribute.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values of the sectors. If omitted, we count
+            occurrences of each label.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleposition": ("title", "position"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        automargin=None,
+        customdata=None,
+        customdatasrc=None,
+        direction=None,
+        dlabel=None,
+        domain=None,
+        hole=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        insidetextfont=None,
+        insidetextorientation=None,
+        label0=None,
+        labels=None,
+        labelssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        outsidetextfont=None,
+        pull=None,
+        pullsrc=None,
+        rotation=None,
+        scalegroup=None,
+        showlegend=None,
+        sort=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textinfo=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        title=None,
+        titlefont=None,
+        titleposition=None,
+        uid=None,
+        uirevision=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Pie object
+        
+        A data visualized by the sectors of the pie is set in `values`.
+        The sector labels are set in `labels`. The sector colors are
+        set in `marker.colors`
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Pie`
+        automargin
+            Determines whether outside text labels can push the
+            margins.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        direction
+            Specifies the direction at which succeeding sectors
+            follow one another.
+        dlabel
+            Sets the label step. See `label0` for more info.
+        domain
+            :class:`plotly.graph_objects.pie.Domain` instance or
+            dict with compatible properties
+        hole
+            Sets the fraction of the radius to cut out of the pie.
+            Use this to make a donut chart.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.pie.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `label`, `color`, `value`,
+            `percent` and `text`. Anything contained in tag
+            `<extra>` is displayed in the secondary box, for
+            example "<extra>{fullData.name}</extra>". To hide the
+            secondary box completely, use an empty tag
+            `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        insidetextorientation
+            Controls the orientation of the text inside chart
+            sectors. When set to "auto", text may be oriented in
+            any direction in order to be as big as possible in the
+            middle of a sector. The "horizontal" option orients
+            text to be parallel with the bottom of the chart, and
+            may make text smaller in order to achieve that goal.
+            The "radial" option orients text along the radius of
+            the sector. The "tangential" option orients text
+            perpendicular to the radius of the sector.
+        label0
+            Alternate to `labels`. Builds a numeric set of labels.
+            Use with `dlabel` where `label0` is the starting label
+            and `dlabel` the step.
+        labels
+            Sets the sector labels. If `labels` entries are
+            duplicated, we sum associated `values` or simply count
+            occurrences if `values` is not provided. For other
+            array attributes (including color) we use the first
+            non-empty entry among all occurrences of the label.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.pie.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        outsidetextfont
+            Sets the font used for `textinfo` lying outside the
+            sector.
+        pull
+            Sets the fraction of larger radius to pull the sectors
+            out from the center. This can be a constant to pull all
+            slices apart from each other equally or an array to
+            highlight one or more slices.
+        pullsrc
+            Sets the source reference on Chart Studio Cloud for
+            pull .
+        rotation
+            Instead of the first slice starting at 12 o'clock,
+            rotate to some other angle.
+        scalegroup
+            If there are multiple pie charts that should be sized
+            according to their totals, link them by providing a
+            non-empty group id here shared by every trace in the
+            same group.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        sort
+            Determines whether or not the sectors are reordered
+            from largest to smallest.
+        stream
+            :class:`plotly.graph_objects.pie.Stream` instance or
+            dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textposition
+            Specifies the location of the `textinfo`.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `label`,
+            `color`, `value`, `percent` and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        title
+            :class:`plotly.graph_objects.pie.Title` instance or
+            dict with compatible properties
+        titlefont
+            Deprecated: Please use pie.title.font instead. Sets the
+            font used for `title`. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleposition
+            Deprecated: Please use pie.title.position instead.
+            Specifies the location of the `title`. Note that the
+            title's position used to be set by the now deprecated
+            `titleposition` attribute.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values of the sectors. If omitted, we count
+            occurrences of each label.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Pie
+        """
+        super(Pie, self).__init__("pie")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Pie 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Pie`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("automargin", None)
+        _v = automargin if automargin is not None else _v
+        if _v is not None:
+            self["automargin"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("direction", None)
+        _v = direction if direction is not None else _v
+        if _v is not None:
+            self["direction"] = _v
+        _v = arg.pop("dlabel", None)
+        _v = dlabel if dlabel is not None else _v
+        if _v is not None:
+            self["dlabel"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("hole", None)
+        _v = hole if hole is not None else _v
+        if _v is not None:
+            self["hole"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("insidetextorientation", None)
+        _v = insidetextorientation if insidetextorientation is not None else _v
+        if _v is not None:
+            self["insidetextorientation"] = _v
+        _v = arg.pop("label0", None)
+        _v = label0 if label0 is not None else _v
+        if _v is not None:
+            self["label0"] = _v
+        _v = arg.pop("labels", None)
+        _v = labels if labels is not None else _v
+        if _v is not None:
+            self["labels"] = _v
+        _v = arg.pop("labelssrc", None)
+        _v = labelssrc if labelssrc is not None else _v
+        if _v is not None:
+            self["labelssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("outsidetextfont", None)
+        _v = outsidetextfont if outsidetextfont is not None else _v
+        if _v is not None:
+            self["outsidetextfont"] = _v
+        _v = arg.pop("pull", None)
+        _v = pull if pull is not None else _v
+        if _v is not None:
+            self["pull"] = _v
+        _v = arg.pop("pullsrc", None)
+        _v = pullsrc if pullsrc is not None else _v
+        if _v is not None:
+            self["pullsrc"] = _v
+        _v = arg.pop("rotation", None)
+        _v = rotation if rotation is not None else _v
+        if _v is not None:
+            self["rotation"] = _v
+        _v = arg.pop("scalegroup", None)
+        _v = scalegroup if scalegroup is not None else _v
+        if _v is not None:
+            self["scalegroup"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("sort", None)
+        _v = sort if sort is not None else _v
+        if _v is not None:
+            self["sort"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textinfo", None)
+        _v = textinfo if textinfo is not None else _v
+        if _v is not None:
+            self["textinfo"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleposition", None)
+        _v = titleposition if titleposition is not None else _v
+        if _v is not None:
+            self["titleposition"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "pie"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_pointcloud.py b/packages/python/plotly/plotly/graph_objs/_pointcloud.py
new file mode 100644
index 00000000000..1dc862425a3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_pointcloud.py
@@ -0,0 +1,1444 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Pointcloud(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "pointcloud"
+    _valid_props = {
+        "customdata",
+        "customdatasrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "ids",
+        "idssrc",
+        "indices",
+        "indicessrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "showlegend",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xaxis",
+        "xbounds",
+        "xboundssrc",
+        "xsrc",
+        "xy",
+        "xysrc",
+        "y",
+        "yaxis",
+        "ybounds",
+        "yboundssrc",
+        "ysrc",
+    }
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pointcloud.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.pointcloud.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # indices
+    # -------
+    @property
+    def indices(self):
+        """
+        A sequential value, 0..n, supply it to avoid creating this
+        array inside plotting. If specified, it must be a typed
+        `Int32Array` array. Its length must be equal to or greater than
+        the number of points. For the best performance and memory use,
+        create one large `indices` typed array that is guaranteed to be
+        at least as long as the largest number of points during use,
+        and reuse it on each `Plotly.restyle()` call.
+    
+        The 'indices' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["indices"]
+
+    @indices.setter
+    def indices(self, val):
+        self["indices"] = val
+
+    # indicessrc
+    # ----------
+    @property
+    def indicessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  indices .
+    
+        The 'indicessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["indicessrc"]
+
+    @indicessrc.setter
+    def indicessrc(self, val):
+        self["indicessrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pointcloud.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                blend
+                    Determines if colors are blended together for a
+                    translucency effect in case `opacity` is
+                    specified as a value less then `1`. Setting
+                    `blend` to `true` reduces zoom/pan speed if
+                    used with large numbers of points.
+                border
+                    :class:`plotly.graph_objects.pointcloud.marker.
+                    Border` instance or dict with compatible
+                    properties
+                color
+                    Sets the marker fill color. It accepts a
+                    specific color.If the color is not fully opaque
+                    and there are hundreds of thousandsof points,
+                    it may cause slower zooming and panning.
+                opacity
+                    Sets the marker opacity. The default value is
+                    `1` (fully opaque). If the markers are not
+                    fully opaque and there are hundreds of
+                    thousands of points, it may cause slower
+                    zooming and panning. Opacity fades the color
+                    even if `blend` is left on `false` even if
+                    there is no translucency effect in that case.
+                sizemax
+                    Sets the maximum size (in px) of the rendered
+                    marker points. Effective when the `pointcloud`
+                    shows only few points.
+                sizemin
+                    Sets the minimum size (in px) of the rendered
+                    marker points, effective when the `pointcloud`
+                    shows a million or more points.
+
+        Returns
+        -------
+        plotly.graph_objs.pointcloud.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pointcloud.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.pointcloud.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xbounds
+    # -------
+    @property
+    def xbounds(self):
+        """
+        Specify `xbounds` in the shape of `[xMin, xMax] to avoid
+        looping through the `xy` typed array. Use it in conjunction
+        with `xy` and `ybounds` for the performance benefits.
+    
+        The 'xbounds' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["xbounds"]
+
+    @xbounds.setter
+    def xbounds(self, val):
+        self["xbounds"] = val
+
+    # xboundssrc
+    # ----------
+    @property
+    def xboundssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  xbounds .
+    
+        The 'xboundssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xboundssrc"]
+
+    @xboundssrc.setter
+    def xboundssrc(self, val):
+        self["xboundssrc"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # xy
+    # --
+    @property
+    def xy(self):
+        """
+        Faster alternative to specifying `x` and `y` separately. If
+        supplied, it must be a typed `Float32Array` array that
+        represents points such that `xy[i * 2] = x[i]` and `xy[i * 2 +
+        1] = y[i]`
+    
+        The 'xy' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["xy"]
+
+    @xy.setter
+    def xy(self, val):
+        self["xy"] = val
+
+    # xysrc
+    # -----
+    @property
+    def xysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  xy .
+    
+        The 'xysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xysrc"]
+
+    @xysrc.setter
+    def xysrc(self, val):
+        self["xysrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ybounds
+    # -------
+    @property
+    def ybounds(self):
+        """
+        Specify `ybounds` in the shape of `[yMin, yMax] to avoid
+        looping through the `xy` typed array. Use it in conjunction
+        with `xy` and `xbounds` for the performance benefits.
+    
+        The 'ybounds' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ybounds"]
+
+    @ybounds.setter
+    def ybounds(self, val):
+        self["ybounds"] = val
+
+    # yboundssrc
+    # ----------
+    @property
+    def yboundssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ybounds .
+    
+        The 'yboundssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["yboundssrc"]
+
+    @yboundssrc.setter
+    def yboundssrc(self, val):
+        self["yboundssrc"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.pointcloud.Hoverlabel`
+            instance or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        indices
+            A sequential value, 0..n, supply it to avoid creating
+            this array inside plotting. If specified, it must be a
+            typed `Int32Array` array. Its length must be equal to
+            or greater than the number of points. For the best
+            performance and memory use, create one large `indices`
+            typed array that is guaranteed to be at least as long
+            as the largest number of points during use, and reuse
+            it on each `Plotly.restyle()` call.
+        indicessrc
+            Sets the source reference on Chart Studio Cloud for
+            indices .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.pointcloud.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.pointcloud.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbounds
+            Specify `xbounds` in the shape of `[xMin, xMax] to
+            avoid looping through the `xy` typed array. Use it in
+            conjunction with `xy` and `ybounds` for the performance
+            benefits.
+        xboundssrc
+            Sets the source reference on Chart Studio Cloud for
+            xbounds .
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xy
+            Faster alternative to specifying `x` and `y`
+            separately. If supplied, it must be a typed
+            `Float32Array` array that represents points such that
+            `xy[i * 2] = x[i]` and `xy[i * 2 + 1] = y[i]`
+        xysrc
+            Sets the source reference on Chart Studio Cloud for  xy
+            .
+        y
+            Sets the y coordinates.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybounds
+            Specify `ybounds` in the shape of `[yMin, yMax] to
+            avoid looping through the `xy` typed array. Use it in
+            conjunction with `xy` and `xbounds` for the performance
+            benefits.
+        yboundssrc
+            Sets the source reference on Chart Studio Cloud for
+            ybounds .
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        customdata=None,
+        customdatasrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        ids=None,
+        idssrc=None,
+        indices=None,
+        indicessrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xaxis=None,
+        xbounds=None,
+        xboundssrc=None,
+        xsrc=None,
+        xy=None,
+        xysrc=None,
+        y=None,
+        yaxis=None,
+        ybounds=None,
+        yboundssrc=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Pointcloud object
+        
+        The data visualized as a point cloud set in `x` and `y` using
+        the WebGl plotting engine.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Pointcloud`
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.pointcloud.Hoverlabel`
+            instance or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        indices
+            A sequential value, 0..n, supply it to avoid creating
+            this array inside plotting. If specified, it must be a
+            typed `Int32Array` array. Its length must be equal to
+            or greater than the number of points. For the best
+            performance and memory use, create one large `indices`
+            typed array that is guaranteed to be at least as long
+            as the largest number of points during use, and reuse
+            it on each `Plotly.restyle()` call.
+        indicessrc
+            Sets the source reference on Chart Studio Cloud for
+            indices .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.pointcloud.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.pointcloud.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xbounds
+            Specify `xbounds` in the shape of `[xMin, xMax] to
+            avoid looping through the `xy` typed array. Use it in
+            conjunction with `xy` and `ybounds` for the performance
+            benefits.
+        xboundssrc
+            Sets the source reference on Chart Studio Cloud for
+            xbounds .
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        xy
+            Faster alternative to specifying `x` and `y`
+            separately. If supplied, it must be a typed
+            `Float32Array` array that represents points such that
+            `xy[i * 2] = x[i]` and `xy[i * 2 + 1] = y[i]`
+        xysrc
+            Sets the source reference on Chart Studio Cloud for  xy
+            .
+        y
+            Sets the y coordinates.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ybounds
+            Specify `ybounds` in the shape of `[yMin, yMax] to
+            avoid looping through the `xy` typed array. Use it in
+            conjunction with `xy` and `xbounds` for the performance
+            benefits.
+        yboundssrc
+            Sets the source reference on Chart Studio Cloud for
+            ybounds .
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Pointcloud
+        """
+        super(Pointcloud, self).__init__("pointcloud")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Pointcloud 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Pointcloud`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("indices", None)
+        _v = indices if indices is not None else _v
+        if _v is not None:
+            self["indices"] = _v
+        _v = arg.pop("indicessrc", None)
+        _v = indicessrc if indicessrc is not None else _v
+        if _v is not None:
+            self["indicessrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xbounds", None)
+        _v = xbounds if xbounds is not None else _v
+        if _v is not None:
+            self["xbounds"] = _v
+        _v = arg.pop("xboundssrc", None)
+        _v = xboundssrc if xboundssrc is not None else _v
+        if _v is not None:
+            self["xboundssrc"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("xy", None)
+        _v = xy if xy is not None else _v
+        if _v is not None:
+            self["xy"] = _v
+        _v = arg.pop("xysrc", None)
+        _v = xysrc if xysrc is not None else _v
+        if _v is not None:
+            self["xysrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ybounds", None)
+        _v = ybounds if ybounds is not None else _v
+        if _v is not None:
+            self["ybounds"] = _v
+        _v = arg.pop("yboundssrc", None)
+        _v = yboundssrc if yboundssrc is not None else _v
+        if _v is not None:
+            self["yboundssrc"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "pointcloud"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_sankey.py b/packages/python/plotly/plotly/graph_objs/_sankey.py
new file mode 100644
index 00000000000..da4cb90ba91
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_sankey.py
@@ -0,0 +1,1222 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Sankey(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "sankey"
+    _valid_props = {
+        "arrangement",
+        "customdata",
+        "customdatasrc",
+        "domain",
+        "hoverinfo",
+        "hoverlabel",
+        "ids",
+        "idssrc",
+        "link",
+        "meta",
+        "metasrc",
+        "name",
+        "node",
+        "orientation",
+        "selectedpoints",
+        "stream",
+        "textfont",
+        "type",
+        "uid",
+        "uirevision",
+        "valueformat",
+        "valuesuffix",
+        "visible",
+    }
+
+    # arrangement
+    # -----------
+    @property
+    def arrangement(self):
+        """
+        If value is `snap` (the default), the node arrangement is
+        assisted by automatic snapping of elements to preserve space
+        between nodes specified via `nodepad`. If value is
+        `perpendicular`, the nodes can only move along a line
+        perpendicular to the flow. If value is `freeform`, the nodes
+        can freely move on the plane. If value is `fixed`, the nodes
+        are stationary.
+    
+        The 'arrangement' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['snap', 'perpendicular', 'freeform', 'fixed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["arrangement"]
+
+    @arrangement.setter
+    def arrangement(self, val):
+        self["arrangement"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this sankey trace .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this sankey trace .
+                x
+                    Sets the horizontal domain of this sankey trace
+                    (in plot fraction).
+                y
+                    Sets the vertical domain of this sankey trace
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+        Note that this attribute is superseded by `node.hoverinfo` and
+        `node.hoverinfo` for nodes and links respectively.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of [] joined with '+' characters
+            (e.g. '')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # link
+    # ----
+    @property
+    def link(self):
+        """
+        The links of the Sankey plot.
+    
+        The 'link' property is an instance of Link
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.Link`
+          - A dict of string/value properties that will be passed
+            to the Link constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the `link` color. It can be a single
+                    value, or an array for specifying color for
+                    each `link`. If `link.color` is omitted, then
+                    by default, a translucent grey link will be
+                    used.
+                colorscales
+                    A tuple of :class:`plotly.graph_objects.sankey.
+                    link.Colorscale` instances or dicts with
+                    compatible properties
+                colorscaledefaults
+                    When used in a template (as layout.template.dat
+                    a.sankey.link.colorscaledefaults), sets the
+                    default property values to use for elements of
+                    sankey.link.colorscales
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                customdata
+                    Assigns extra data to each link.
+                customdatasrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  customdata .
+                hoverinfo
+                    Determines which trace information appear when
+                    hovering links. If `none` or `skip` are set, no
+                    information is displayed upon hovering. But, if
+                    `none` is set, click and hover events are still
+                    fired.
+                hoverlabel
+                    :class:`plotly.graph_objects.sankey.link.Hoverl
+                    abel` instance or dict with compatible
+                    properties
+                hovertemplate
+                    Template string used for rendering the
+                    information that appear on hover box. Note that
+                    this will override `hoverinfo`. Variables are
+                    inserted using %{variable}, for example "y:
+                    %{y}". Numbers are formatted using d3-format's
+                    syntax %{variable:d3-format}, for example
+                    "Price: %{y:$.2f}".
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    for details on the formatting syntax. Dates are
+                    formatted using d3-time-format's syntax
+                    %{variable|d3-time-format}, for example "Day:
+                    %{2019-01-01|%A}".
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    for details on the date formatting syntax. The
+                    variables available in `hovertemplate` are the
+                    ones emitted as event data described at this
+                    link https://plotly.com/javascript/plotlyjs-
+                    events/#event-data. Additionally, every
+                    attributes that can be specified per-point (the
+                    ones that are `arrayOk: true`) are available.
+                    variables `value` and `label`. Anything
+                    contained in tag `<extra>` is displayed in the
+                    secondary box, for example
+                    "<extra>{fullData.name}</extra>". To hide the
+                    secondary box completely, use an empty tag
+                    `<extra></extra>`.
+                hovertemplatesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  hovertemplate .
+                label
+                    The shown name of the link.
+                labelsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  label .
+                line
+                    :class:`plotly.graph_objects.sankey.link.Line`
+                    instance or dict with compatible properties
+                source
+                    An integer number `[0..nodes.length - 1]` that
+                    represents the source node.
+                sourcesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  source .
+                target
+                    An integer number `[0..nodes.length - 1]` that
+                    represents the target node.
+                targetsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  target .
+                value
+                    A numeric value representing the flow volume
+                    value.
+                valuesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  value .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.Link
+        """
+        return self["link"]
+
+    @link.setter
+    def link(self, val):
+        self["link"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # node
+    # ----
+    @property
+    def node(self):
+        """
+        The nodes of the Sankey plot.
+    
+        The 'node' property is an instance of Node
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.Node`
+          - A dict of string/value properties that will be passed
+            to the Node constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the `node` color. It can be a single
+                    value, or an array for specifying color for
+                    each `node`. If `node.color` is omitted, then
+                    the default `Plotly` color palette will be
+                    cycled through to have a variety of colors.
+                    These defaults are not fully opaque, to allow
+                    some visibility of what is beneath the node.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                customdata
+                    Assigns extra data to each node.
+                customdatasrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  customdata .
+                groups
+                    Groups of nodes. Each group is defined by an
+                    array with the indices of the nodes it
+                    contains. Multiple groups can be specified.
+                hoverinfo
+                    Determines which trace information appear when
+                    hovering nodes. If `none` or `skip` are set, no
+                    information is displayed upon hovering. But, if
+                    `none` is set, click and hover events are still
+                    fired.
+                hoverlabel
+                    :class:`plotly.graph_objects.sankey.node.Hoverl
+                    abel` instance or dict with compatible
+                    properties
+                hovertemplate
+                    Template string used for rendering the
+                    information that appear on hover box. Note that
+                    this will override `hoverinfo`. Variables are
+                    inserted using %{variable}, for example "y:
+                    %{y}". Numbers are formatted using d3-format's
+                    syntax %{variable:d3-format}, for example
+                    "Price: %{y:$.2f}".
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    for details on the formatting syntax. Dates are
+                    formatted using d3-time-format's syntax
+                    %{variable|d3-time-format}, for example "Day:
+                    %{2019-01-01|%A}".
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    for details on the date formatting syntax. The
+                    variables available in `hovertemplate` are the
+                    ones emitted as event data described at this
+                    link https://plotly.com/javascript/plotlyjs-
+                    events/#event-data. Additionally, every
+                    attributes that can be specified per-point (the
+                    ones that are `arrayOk: true`) are available.
+                    variables `value` and `label`. Anything
+                    contained in tag `<extra>` is displayed in the
+                    secondary box, for example
+                    "<extra>{fullData.name}</extra>". To hide the
+                    secondary box completely, use an empty tag
+                    `<extra></extra>`.
+                hovertemplatesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  hovertemplate .
+                label
+                    The shown name of the node.
+                labelsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  label .
+                line
+                    :class:`plotly.graph_objects.sankey.node.Line`
+                    instance or dict with compatible properties
+                pad
+                    Sets the padding (in px) between the `nodes`.
+                thickness
+                    Sets the thickness (in px) of the `nodes`.
+                x
+                    The normalized horizontal position of the node.
+                xsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  x .
+                y
+                    The normalized vertical position of the node.
+                ysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  y .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.Node
+        """
+        return self["node"]
+
+    @node.setter
+    def node(self, val):
+        self["node"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the Sankey diagram.
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font for node labels
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # valueformat
+    # -----------
+    @property
+    def valueformat(self):
+        """
+        Sets the value formatting rule using d3 formatting mini-
+        language which is similar to those of Python. See
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'valueformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["valueformat"]
+
+    @valueformat.setter
+    def valueformat(self, val):
+        self["valueformat"] = val
+
+    # valuesuffix
+    # -----------
+    @property
+    def valuesuffix(self):
+        """
+        Adds a unit to follow the value in the hover tooltip. Add a
+        space if a separation is necessary from the value.
+    
+        The 'valuesuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["valuesuffix"]
+
+    @valuesuffix.setter
+    def valuesuffix(self, val):
+        self["valuesuffix"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        arrangement
+            If value is `snap` (the default), the node arrangement
+            is assisted by automatic snapping of elements to
+            preserve space between nodes specified via `nodepad`.
+            If value is `perpendicular`, the nodes can only move
+            along a line perpendicular to the flow. If value is
+            `freeform`, the nodes can freely move on the plane. If
+            value is `fixed`, the nodes are stationary.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.sankey.Domain` instance or
+            dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired. Note that this attribute is
+            superseded by `node.hoverinfo` and `node.hoverinfo` for
+            nodes and links respectively.
+        hoverlabel
+            :class:`plotly.graph_objects.sankey.Hoverlabel`
+            instance or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        link
+            The links of the Sankey plot.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        node
+            The nodes of the Sankey plot.
+        orientation
+            Sets the orientation of the Sankey diagram.
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        stream
+            :class:`plotly.graph_objects.sankey.Stream` instance or
+            dict with compatible properties
+        textfont
+            Sets the font for node labels
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        valueformat
+            Sets the value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        valuesuffix
+            Adds a unit to follow the value in the hover tooltip.
+            Add a space if a separation is necessary from the
+            value.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        arrangement=None,
+        customdata=None,
+        customdatasrc=None,
+        domain=None,
+        hoverinfo=None,
+        hoverlabel=None,
+        ids=None,
+        idssrc=None,
+        link=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        node=None,
+        orientation=None,
+        selectedpoints=None,
+        stream=None,
+        textfont=None,
+        uid=None,
+        uirevision=None,
+        valueformat=None,
+        valuesuffix=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Sankey object
+        
+        Sankey plots for network flow data analysis. The nodes are
+        specified in `nodes` and the links between sources and targets
+        in `links`. The colors are set in `nodes[i].color` and
+        `links[i].color`, otherwise defaults are used.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Sankey`
+        arrangement
+            If value is `snap` (the default), the node arrangement
+            is assisted by automatic snapping of elements to
+            preserve space between nodes specified via `nodepad`.
+            If value is `perpendicular`, the nodes can only move
+            along a line perpendicular to the flow. If value is
+            `freeform`, the nodes can freely move on the plane. If
+            value is `fixed`, the nodes are stationary.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.sankey.Domain` instance or
+            dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired. Note that this attribute is
+            superseded by `node.hoverinfo` and `node.hoverinfo` for
+            nodes and links respectively.
+        hoverlabel
+            :class:`plotly.graph_objects.sankey.Hoverlabel`
+            instance or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        link
+            The links of the Sankey plot.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        node
+            The nodes of the Sankey plot.
+        orientation
+            Sets the orientation of the Sankey diagram.
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        stream
+            :class:`plotly.graph_objects.sankey.Stream` instance or
+            dict with compatible properties
+        textfont
+            Sets the font for node labels
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        valueformat
+            Sets the value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        valuesuffix
+            Adds a unit to follow the value in the hover tooltip.
+            Add a space if a separation is necessary from the
+            value.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Sankey
+        """
+        super(Sankey, self).__init__("sankey")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Sankey 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Sankey`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("arrangement", None)
+        _v = arrangement if arrangement is not None else _v
+        if _v is not None:
+            self["arrangement"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("link", None)
+        _v = link if link is not None else _v
+        if _v is not None:
+            self["link"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("node", None)
+        _v = node if node is not None else _v
+        if _v is not None:
+            self["node"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("valueformat", None)
+        _v = valueformat if valueformat is not None else _v
+        if _v is not None:
+            self["valueformat"] = _v
+        _v = arg.pop("valuesuffix", None)
+        _v = valuesuffix if valuesuffix is not None else _v
+        if _v is not None:
+            self["valuesuffix"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "sankey"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scatter.py b/packages/python/plotly/plotly/graph_objs/_scatter.py
new file mode 100644
index 00000000000..1829db91b98
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scatter.py
@@ -0,0 +1,2967 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scatter(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scatter"
+    _valid_props = {
+        "cliponaxis",
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "error_x",
+        "error_y",
+        "fill",
+        "fillcolor",
+        "groupnorm",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoveron",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "orientation",
+        "r",
+        "rsrc",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stackgaps",
+        "stackgroup",
+        "stream",
+        "t",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "tsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "x",
+        "x0",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ycalendar",
+        "ysrc",
+    }
+
+    # cliponaxis
+    # ----------
+    @property
+    def cliponaxis(self):
+        """
+        Determines whether or not markers and text nodes are clipped
+        about the subplot axes. To show markers and text nodes above
+        axis lines and tick labels, make sure to set `xaxis.layer` and
+        `yaxis.layer` to *below traces*.
+    
+        The 'cliponaxis' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cliponaxis"]
+
+    @cliponaxis.setter
+    def cliponaxis(self, val):
+        self["cliponaxis"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # error_x
+    # -------
+    @property
+    def error_x(self):
+        """
+        The 'error_x' property is an instance of ErrorX
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.ErrorX`
+          - A dict of string/value properties that will be passed
+            to the ErrorX constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                copy_ystyle
+    
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.ErrorX
+        """
+        return self["error_x"]
+
+    @error_x.setter
+    def error_x(self, val):
+        self["error_x"] = val
+
+    # error_y
+    # -------
+    @property
+    def error_y(self):
+        """
+        The 'error_y' property is an instance of ErrorY
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.ErrorY`
+          - A dict of string/value properties that will be passed
+            to the ErrorY constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.ErrorY
+        """
+        return self["error_y"]
+
+    @error_y.setter
+    def error_y(self, val):
+        self["error_y"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Defaults to "none"
+        unless this trace is stacked, then it gets "tonexty"
+        ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor`
+        if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0
+        respectively. "tonextx" and "tonexty" fill between the
+        endpoints of this trace and the endpoints of the trace before
+        it, connecting those endpoints with straight lines (to make a
+        stacked area graph); if there is no trace before it, they
+        behave like "tozerox" and "tozeroy". "toself" connects the
+        endpoints of the trace (or each segment of the trace if it has
+        gaps) into a closed shape. "tonext" fills the space between two
+        traces if one completely encloses the other (eg consecutive
+        contour lines), and behaves like "toself" if there is no trace
+        before it. "tonext" should not be used if one trace does not
+        enclose the other. Traces in a `stackgroup` will only fill to
+        (or be filled to) other traces in the same group. With multiple
+        `stackgroup`s or some traces stacked and some not, if fill-
+        linked traces are not already consecutive, the later ones will
+        be pushed down in the drawing order.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx',
+                'toself', 'tonext']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # groupnorm
+    # ---------
+    @property
+    def groupnorm(self):
+        """
+        Only relevant when `stackgroup` is used, and only the first
+        `groupnorm` found in the `stackgroup` will be used - including
+        if `visible` is "legendonly" but not if it is `false`. Sets the
+        normalization for the sum of this `stackgroup`. With
+        "fraction", the value of each trace at each location is divided
+        by the sum of all trace values at that location. "percent" is
+        the same but multiplied by 100 to show percentages. If there
+        are multiple subplots, or multiple `stackgroup`s on one
+        subplot, each will be normalized within its own set.
+    
+        The 'groupnorm' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['', 'fraction', 'percent']
+
+        Returns
+        -------
+        Any
+        """
+        return self["groupnorm"]
+
+    @groupnorm.setter
+    def groupnorm(self, val):
+        self["groupnorm"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Do the hover effects highlight individual points (markers or
+        line points) or do they highlight filled regions? If the fill
+        is "toself" or "tonext" and there are no markers or text, then
+        the default is "fills", otherwise it is "points".
+    
+        The 'hoveron' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['points', 'fills'] joined with '+' characters
+            (e.g. 'points+fills')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                shape
+                    Determines the line shape. With "spline" the
+                    lines are drawn using spline interpolation. The
+                    other available values correspond to step-wise
+                    line shapes.
+                simplify
+                    Simplifies lines by removing nearly-collinear
+                    points. When transitioning lines, it may be
+                    desirable to disable this so that the number of
+                    points along the resulting SVG path is
+                    unaffected.
+                smoothing
+                    Has an effect only if `shape` is set to
+                    "spline" Sets the amount of smoothing. 0
+                    corresponds to no smoothing (equivalent to a
+                    "linear" shape).
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scatter.marker.Col
+                    orBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                gradient
+                    :class:`plotly.graph_objects.scatter.marker.Gra
+                    dient` instance or dict with compatible
+                    properties
+                line
+                    :class:`plotly.graph_objects.scatter.marker.Lin
+                    e` instance or dict with compatible properties
+                maxdisplayed
+                    Sets a maximum number of points to be drawn on
+                    the graph. 0 corresponds to no limit.
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Only relevant when `stackgroup` is used, and only the first
+        `orientation` found in the `stackgroup` will be used -
+        including if `visible` is "legendonly" but not if it is
+        `false`. Sets the stacking direction. With "v" ("h"), the y (x)
+        values of subsequent traces are added. Also affects the default
+        value of `fill`.
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        r coordinates in scatter traces are deprecated!Please switch to
+        the "scatterpolar" trace type.Sets the radial coordinatesfor
+        legacy polar chart only.
+    
+        The 'r' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # rsrc
+    # ----
+    @property
+    def rsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  r .
+    
+        The 'rsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["rsrc"]
+
+    @rsrc.setter
+    def rsrc(self, val):
+        self["rsrc"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatter.selected.M
+                    arker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scatter.selected.T
+                    extfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stackgaps
+    # ---------
+    @property
+    def stackgaps(self):
+        """
+        Only relevant when `stackgroup` is used, and only the first
+        `stackgaps` found in the `stackgroup` will be used - including
+        if `visible` is "legendonly" but not if it is `false`.
+        Determines how we handle locations at which other traces in
+        this group have data but this one does not. With *infer zero*
+        we insert a zero at these locations. With "interpolate" we
+        linearly interpolate between existing values, and extrapolate a
+        constant beyond the existing values.
+    
+        The 'stackgaps' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['infer zero', 'interpolate']
+
+        Returns
+        -------
+        Any
+        """
+        return self["stackgaps"]
+
+    @stackgaps.setter
+    def stackgaps(self, val):
+        self["stackgaps"] = val
+
+    # stackgroup
+    # ----------
+    @property
+    def stackgroup(self):
+        """
+        Set several scatter traces (on the same subplot) to the same
+        stackgroup in order to add their y values (or their x values if
+        `orientation` is "h"). If blank or omitted this trace will not
+        be stacked. Stacking also turns `fill` on by default, using
+        "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets
+        the default `mode` to "lines" irrespective of point count. You
+        can only stack on a numeric (linear or log) axis. Traces in a
+        `stackgroup` will only fill to (or be filled to) other traces
+        in the same group. With multiple `stackgroup`s or some traces
+        stacked and some not, if fill-linked traces are not already
+        consecutive, the later ones will be pushed down in the drawing
+        order.
+    
+        The 'stackgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["stackgroup"]
+
+    @stackgroup.setter
+    def stackgroup(self, val):
+        self["stackgroup"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        t coordinates in scatter traces are deprecated!Please switch to
+        the "scatterpolar" trace type.Sets the angular coordinatesfor
+        legacy polar chart only.
+    
+        The 't' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # tsrc
+    # ----
+    @property
+    def tsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  t .
+    
+        The 'tsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tsrc"]
+
+    @tsrc.setter
+    def tsrc(self, val):
+        self["tsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatter.unselected
+                    .Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scatter.unselected
+                    .Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        cliponaxis
+            Determines whether or not markers and text nodes are
+            clipped about the subplot axes. To show markers and
+            text nodes above axis lines and tick labels, make sure
+            to set `xaxis.layer` and `yaxis.layer` to *below
+            traces*.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        error_x
+            :class:`plotly.graph_objects.scatter.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.scatter.ErrorY` instance
+            or dict with compatible properties
+        fill
+            Sets the area to fill with a solid color. Defaults to
+            "none" unless this trace is stacked, then it gets
+            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
+            with `fillcolor` if not "none". "tozerox" and "tozeroy"
+            fill to x=0 and y=0 respectively. "tonextx" and
+            "tonexty" fill between the endpoints of this trace and
+            the endpoints of the trace before it, connecting those
+            endpoints with straight lines (to make a stacked area
+            graph); if there is no trace before it, they behave
+            like "tozerox" and "tozeroy". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other. Traces in a `stackgroup` will only fill to (or
+            be filled to) other traces in the same group. With
+            multiple `stackgroup`s or some traces stacked and some
+            not, if fill-linked traces are not already consecutive,
+            the later ones will be pushed down in the drawing
+            order.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        groupnorm
+            Only relevant when `stackgroup` is used, and only the
+            first `groupnorm` found in the `stackgroup` will be
+            used - including if `visible` is "legendonly" but not
+            if it is `false`. Sets the normalization for the sum of
+            this `stackgroup`. With "fraction", the value of each
+            trace at each location is divided by the sum of all
+            trace values at that location. "percent" is the same
+            but multiplied by 100 to show percentages. If there are
+            multiple subplots, or multiple `stackgroup`s on one
+            subplot, each will be normalized within its own set.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatter.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatter.Line` instance or
+            dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatter.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Only relevant when `stackgroup` is used, and only the
+            first `orientation` found in the `stackgroup` will be
+            used - including if `visible` is "legendonly" but not
+            if it is `false`. Sets the stacking direction. With "v"
+            ("h"), the y (x) values of subsequent traces are added.
+            Also affects the default value of `fill`.
+        r
+            r coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the radial
+            coordinatesfor legacy polar chart only.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.scatter.Selected` instance
+            or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stackgaps
+            Only relevant when `stackgroup` is used, and only the
+            first `stackgaps` found in the `stackgroup` will be
+            used - including if `visible` is "legendonly" but not
+            if it is `false`. Determines how we handle locations at
+            which other traces in this group have data but this one
+            does not. With *infer zero* we insert a zero at these
+            locations. With "interpolate" we linearly interpolate
+            between existing values, and extrapolate a constant
+            beyond the existing values.
+        stackgroup
+            Set several scatter traces (on the same subplot) to the
+            same stackgroup in order to add their y values (or
+            their x values if `orientation` is "h"). If blank or
+            omitted this trace will not be stacked. Stacking also
+            turns `fill` on by default, using "tonexty" ("tonextx")
+            if `orientation` is "h" ("v") and sets the default
+            `mode` to "lines" irrespective of point count. You can
+            only stack on a numeric (linear or log) axis. Traces in
+            a `stackgroup` will only fill to (or be filled to)
+            other traces in the same group. With multiple
+            `stackgroup`s or some traces stacked and some not, if
+            fill-linked traces are not already consecutive, the
+            later ones will be pushed down in the drawing order.
+        stream
+            :class:`plotly.graph_objects.scatter.Stream` instance
+            or dict with compatible properties
+        t
+            t coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the
+            angular coordinatesfor legacy polar chart only.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        tsrc
+            Sets the source reference on Chart Studio Cloud for  t
+            .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatter.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        cliponaxis=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        error_x=None,
+        error_y=None,
+        fill=None,
+        fillcolor=None,
+        groupnorm=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoveron=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        orientation=None,
+        r=None,
+        rsrc=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stackgaps=None,
+        stackgroup=None,
+        stream=None,
+        t=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        tsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ycalendar=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scatter object
+        
+        The scatter trace type encompasses line charts, scatter charts,
+        text charts, and bubble charts. The data visualized as scatter
+        point or lines is set in `x` and `y`. Text (appearing either on
+        the chart or on hover only) is via `text`. Bubble charts are
+        achieved by setting `marker.size` and/or `marker.color` to
+        numerical arrays.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scatter`
+        cliponaxis
+            Determines whether or not markers and text nodes are
+            clipped about the subplot axes. To show markers and
+            text nodes above axis lines and tick labels, make sure
+            to set `xaxis.layer` and `yaxis.layer` to *below
+            traces*.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        error_x
+            :class:`plotly.graph_objects.scatter.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.scatter.ErrorY` instance
+            or dict with compatible properties
+        fill
+            Sets the area to fill with a solid color. Defaults to
+            "none" unless this trace is stacked, then it gets
+            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
+            with `fillcolor` if not "none". "tozerox" and "tozeroy"
+            fill to x=0 and y=0 respectively. "tonextx" and
+            "tonexty" fill between the endpoints of this trace and
+            the endpoints of the trace before it, connecting those
+            endpoints with straight lines (to make a stacked area
+            graph); if there is no trace before it, they behave
+            like "tozerox" and "tozeroy". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other. Traces in a `stackgroup` will only fill to (or
+            be filled to) other traces in the same group. With
+            multiple `stackgroup`s or some traces stacked and some
+            not, if fill-linked traces are not already consecutive,
+            the later ones will be pushed down in the drawing
+            order.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        groupnorm
+            Only relevant when `stackgroup` is used, and only the
+            first `groupnorm` found in the `stackgroup` will be
+            used - including if `visible` is "legendonly" but not
+            if it is `false`. Sets the normalization for the sum of
+            this `stackgroup`. With "fraction", the value of each
+            trace at each location is divided by the sum of all
+            trace values at that location. "percent" is the same
+            but multiplied by 100 to show percentages. If there are
+            multiple subplots, or multiple `stackgroup`s on one
+            subplot, each will be normalized within its own set.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatter.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatter.Line` instance or
+            dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatter.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Only relevant when `stackgroup` is used, and only the
+            first `orientation` found in the `stackgroup` will be
+            used - including if `visible` is "legendonly" but not
+            if it is `false`. Sets the stacking direction. With "v"
+            ("h"), the y (x) values of subsequent traces are added.
+            Also affects the default value of `fill`.
+        r
+            r coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the radial
+            coordinatesfor legacy polar chart only.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.scatter.Selected` instance
+            or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stackgaps
+            Only relevant when `stackgroup` is used, and only the
+            first `stackgaps` found in the `stackgroup` will be
+            used - including if `visible` is "legendonly" but not
+            if it is `false`. Determines how we handle locations at
+            which other traces in this group have data but this one
+            does not. With *infer zero* we insert a zero at these
+            locations. With "interpolate" we linearly interpolate
+            between existing values, and extrapolate a constant
+            beyond the existing values.
+        stackgroup
+            Set several scatter traces (on the same subplot) to the
+            same stackgroup in order to add their y values (or
+            their x values if `orientation` is "h"). If blank or
+            omitted this trace will not be stacked. Stacking also
+            turns `fill` on by default, using "tonexty" ("tonextx")
+            if `orientation` is "h" ("v") and sets the default
+            `mode` to "lines" irrespective of point count. You can
+            only stack on a numeric (linear or log) axis. Traces in
+            a `stackgroup` will only fill to (or be filled to)
+            other traces in the same group. With multiple
+            `stackgroup`s or some traces stacked and some not, if
+            fill-linked traces are not already consecutive, the
+            later ones will be pushed down in the drawing order.
+        stream
+            :class:`plotly.graph_objects.scatter.Stream` instance
+            or dict with compatible properties
+        t
+            t coordinates in scatter traces are deprecated!Please
+            switch to the "scatterpolar" trace type.Sets the
+            angular coordinatesfor legacy polar chart only.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        tsrc
+            Sets the source reference on Chart Studio Cloud for  t
+            .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatter.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Scatter
+        """
+        super(Scatter, self).__init__("scatter")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scatter 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scatter`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("cliponaxis", None)
+        _v = cliponaxis if cliponaxis is not None else _v
+        if _v is not None:
+            self["cliponaxis"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("error_x", None)
+        _v = error_x if error_x is not None else _v
+        if _v is not None:
+            self["error_x"] = _v
+        _v = arg.pop("error_y", None)
+        _v = error_y if error_y is not None else _v
+        if _v is not None:
+            self["error_y"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("groupnorm", None)
+        _v = groupnorm if groupnorm is not None else _v
+        if _v is not None:
+            self["groupnorm"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("rsrc", None)
+        _v = rsrc if rsrc is not None else _v
+        if _v is not None:
+            self["rsrc"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stackgaps", None)
+        _v = stackgaps if stackgaps is not None else _v
+        if _v is not None:
+            self["stackgaps"] = _v
+        _v = arg.pop("stackgroup", None)
+        _v = stackgroup if stackgroup is not None else _v
+        if _v is not None:
+            self["stackgroup"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("tsrc", None)
+        _v = tsrc if tsrc is not None else _v
+        if _v is not None:
+            self["tsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scatter"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scatter3d.py b/packages/python/plotly/plotly/graph_objs/_scatter3d.py
new file mode 100644
index 00000000000..b8f8e9f98da
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scatter3d.py
@@ -0,0 +1,2452 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scatter3d(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scatter3d"
+    _valid_props = {
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "error_x",
+        "error_y",
+        "error_z",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "projection",
+        "scene",
+        "showlegend",
+        "stream",
+        "surfaceaxis",
+        "surfacecolor",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "ycalendar",
+        "ysrc",
+        "z",
+        "zcalendar",
+        "zsrc",
+    }
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # error_x
+    # -------
+    @property
+    def error_x(self):
+        """
+        The 'error_x' property is an instance of ErrorX
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.ErrorX`
+          - A dict of string/value properties that will be passed
+            to the ErrorX constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                copy_zstyle
+    
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.ErrorX
+        """
+        return self["error_x"]
+
+    @error_x.setter
+    def error_x(self, val):
+        self["error_x"] = val
+
+    # error_y
+    # -------
+    @property
+    def error_y(self):
+        """
+        The 'error_y' property is an instance of ErrorY
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.ErrorY`
+          - A dict of string/value properties that will be passed
+            to the ErrorY constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                copy_zstyle
+    
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.ErrorY
+        """
+        return self["error_y"]
+
+    @error_y.setter
+    def error_y(self, val):
+        self["error_y"] = val
+
+    # error_z
+    # -------
+    @property
+    def error_z(self):
+        """
+        The 'error_z' property is an instance of ErrorZ
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.ErrorZ`
+          - A dict of string/value properties that will be passed
+            to the ErrorZ constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.ErrorZ
+        """
+        return self["error_z"]
+
+    @error_z.setter
+    def error_z(self, val):
+        self["error_z"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets text elements associated with each (x,y,z) triplet. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y,z) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `line.colorscale`. Has an effect
+                    only if in `line.color`is set to a numerical
+                    array. In case `colorscale` is unspecified or
+                    `autocolorscale` is true, the default  palette
+                    will be chosen according to whether numbers in
+                    the `color` array are all positive, all
+                    negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `line.color`) or the bounds set in
+                    `line.cmin` and `line.cmax`  Has an effect only
+                    if in `line.color`is set to a numerical array.
+                    Defaults to `false` when `line.cmin` and
+                    `line.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `line.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `line.color` and if set,
+                    `line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `line.cmin` and/or `line.cmax` to be
+                    equidistant to this point. Has an effect only
+                    if in `line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `line.color`. Has no effect when `line.cauto`
+                    is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `line.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `line.color` and if set,
+                    `line.cmax` must be set as well.
+                color
+                    Sets thelinecolor. It accepts either a specific
+                    color or an array of numbers that are mapped to
+                    the colorscale relative to the max and min
+                    values of the array or relative to `line.cmin`
+                    and `line.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scatter3d.line.Col
+                    orBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `line.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`line.cmin` and `line.cmax`.
+                    Alternatively, `colorscale` may be a palette
+                    name string of the following list: Greys,YlGnBu
+                    ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
+                    ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
+                    c,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                dash
+                    Sets the dash style of the lines.
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `line.color`is set to a
+                    numerical array. If true, `line.cmin` will
+                    correspond to the last color in the array and
+                    `line.cmax` will correspond to the first color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `line.color`is set to a numerical array.
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scatter3d.marker.C
+                    olorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.scatter3d.marker.L
+                    ine` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the marker opacity. Note that the marker
+                    opacity for scatter3d traces must be a scalar
+                    value for performance reasons. To set a
+                    blending opacity value (i.e. which is not
+                    transparent), set "marker.color" to an rgba
+                    color and use its alpha channel.
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # projection
+    # ----------
+    @property
+    def projection(self):
+        """
+        The 'projection' property is an instance of Projection
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.Projection`
+          - A dict of string/value properties that will be passed
+            to the Projection constructor
+    
+            Supported dict properties:
+                
+                x
+                    :class:`plotly.graph_objects.scatter3d.projecti
+                    on.X` instance or dict with compatible
+                    properties
+                y
+                    :class:`plotly.graph_objects.scatter3d.projecti
+                    on.Y` instance or dict with compatible
+                    properties
+                z
+                    :class:`plotly.graph_objects.scatter3d.projecti
+                    on.Z` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.Projection
+        """
+        return self["projection"]
+
+    @projection.setter
+    def projection(self, val):
+        self["projection"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # surfaceaxis
+    # -----------
+    @property
+    def surfaceaxis(self):
+        """
+        If "-1", the scatter points are not fill with a surface If 0,
+        1, 2, the scatter points are filled with a Delaunay surface
+        about the x, y, z respectively.
+    
+        The 'surfaceaxis' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [-1, 0, 1, 2]
+
+        Returns
+        -------
+        Any
+        """
+        return self["surfaceaxis"]
+
+    @surfaceaxis.setter
+    def surfaceaxis(self, val):
+        self["surfaceaxis"] = val
+
+    # surfacecolor
+    # ------------
+    @property
+    def surfacecolor(self):
+        """
+        Sets the surface fill color.
+    
+        The 'surfacecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["surfacecolor"]
+
+    @surfacecolor.setter
+    def surfacecolor(self, val):
+        self["surfacecolor"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y,z) triplet. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y,z) coordinates. If trace `hoverinfo`
+        contains a "text" flag and "hovertext" is not set, these
+        elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z coordinates.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zcalendar
+    # ---------
+    @property
+    def zcalendar(self):
+        """
+        Sets the calendar system to use with `z` date data.
+    
+        The 'zcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["zcalendar"]
+
+    @zcalendar.setter
+    def zcalendar(self, val):
+        self["zcalendar"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        error_x
+            :class:`plotly.graph_objects.scatter3d.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.scatter3d.ErrorY` instance
+            or dict with compatible properties
+        error_z
+            :class:`plotly.graph_objects.scatter3d.ErrorZ` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatter3d.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets text elements associated with each (x,y,z)
+            triplet. If a single string, the same string appears
+            over all the data points. If an array of string, the
+            items are mapped in order to the this trace's (x,y,z)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatter3d.Line` instance
+            or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatter3d.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        projection
+            :class:`plotly.graph_objects.scatter3d.Projection`
+            instance or dict with compatible properties
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatter3d.Stream` instance
+            or dict with compatible properties
+        surfaceaxis
+            If "-1", the scatter points are not fill with a surface
+            If 0, 1, 2, the scatter points are filled with a
+            Delaunay surface about the x, y, z respectively.
+        surfacecolor
+            Sets the surface fill color.
+        text
+            Sets text elements associated with each (x,y,z)
+            triplet. If a single string, the same string appears
+            over all the data points. If an array of string, the
+            items are mapped in order to the this trace's (x,y,z)
+            coordinates. If trace `hoverinfo` contains a "text"
+            flag and "hovertext" is not set, these elements will be
+            seen in the hover labels.
+        textfont
+            :class:`plotly.graph_objects.scatter3d.Textfont`
+            instance or dict with compatible properties
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates.
+        zcalendar
+            Sets the calendar system to use with `z` date data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        error_x=None,
+        error_y=None,
+        error_z=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        projection=None,
+        scene=None,
+        showlegend=None,
+        stream=None,
+        surfaceaxis=None,
+        surfacecolor=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        ycalendar=None,
+        ysrc=None,
+        z=None,
+        zcalendar=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scatter3d object
+        
+        The data visualized as scatter point or lines in 3D dimension
+        is set in `x`, `y`, `z`. Text (appearing either on the chart or
+        on hover only) is via `text`. Bubble charts are achieved by
+        setting `marker.size` and/or `marker.color` Projections are
+        achieved via `projection`. Surface fills are achieved via
+        `surfaceaxis`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scatter3d`
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        error_x
+            :class:`plotly.graph_objects.scatter3d.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.scatter3d.ErrorY` instance
+            or dict with compatible properties
+        error_z
+            :class:`plotly.graph_objects.scatter3d.ErrorZ` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatter3d.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets text elements associated with each (x,y,z)
+            triplet. If a single string, the same string appears
+            over all the data points. If an array of string, the
+            items are mapped in order to the this trace's (x,y,z)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatter3d.Line` instance
+            or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatter3d.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        projection
+            :class:`plotly.graph_objects.scatter3d.Projection`
+            instance or dict with compatible properties
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatter3d.Stream` instance
+            or dict with compatible properties
+        surfaceaxis
+            If "-1", the scatter points are not fill with a surface
+            If 0, 1, 2, the scatter points are filled with a
+            Delaunay surface about the x, y, z respectively.
+        surfacecolor
+            Sets the surface fill color.
+        text
+            Sets text elements associated with each (x,y,z)
+            triplet. If a single string, the same string appears
+            over all the data points. If an array of string, the
+            items are mapped in order to the this trace's (x,y,z)
+            coordinates. If trace `hoverinfo` contains a "text"
+            flag and "hovertext" is not set, these elements will be
+            seen in the hover labels.
+        textfont
+            :class:`plotly.graph_objects.scatter3d.Textfont`
+            instance or dict with compatible properties
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates.
+        zcalendar
+            Sets the calendar system to use with `z` date data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Scatter3d
+        """
+        super(Scatter3d, self).__init__("scatter3d")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scatter3d 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scatter3d`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("error_x", None)
+        _v = error_x if error_x is not None else _v
+        if _v is not None:
+            self["error_x"] = _v
+        _v = arg.pop("error_y", None)
+        _v = error_y if error_y is not None else _v
+        if _v is not None:
+            self["error_y"] = _v
+        _v = arg.pop("error_z", None)
+        _v = error_z if error_z is not None else _v
+        if _v is not None:
+            self["error_z"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("projection", None)
+        _v = projection if projection is not None else _v
+        if _v is not None:
+            self["projection"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("surfaceaxis", None)
+        _v = surfaceaxis if surfaceaxis is not None else _v
+        if _v is not None:
+            self["surfaceaxis"] = _v
+        _v = arg.pop("surfacecolor", None)
+        _v = surfacecolor if surfacecolor is not None else _v
+        if _v is not None:
+            self["surfacecolor"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zcalendar", None)
+        _v = zcalendar if zcalendar is not None else _v
+        if _v is not None:
+            self["zcalendar"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scatter3d"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scattercarpet.py b/packages/python/plotly/plotly/graph_objs/_scattercarpet.py
new file mode 100644
index 00000000000..7da00da77b2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scattercarpet.py
@@ -0,0 +1,2178 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scattercarpet(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scattercarpet"
+    _valid_props = {
+        "a",
+        "asrc",
+        "b",
+        "bsrc",
+        "carpet",
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "fill",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoveron",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "xaxis",
+        "yaxis",
+    }
+
+    # a
+    # -
+    @property
+    def a(self):
+        """
+        Sets the a-axis coordinates.
+    
+        The 'a' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["a"]
+
+    @a.setter
+    def a(self, val):
+        self["a"] = val
+
+    # asrc
+    # ----
+    @property
+    def asrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  a .
+    
+        The 'asrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["asrc"]
+
+    @asrc.setter
+    def asrc(self, val):
+        self["asrc"] = val
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        Sets the b-axis coordinates.
+    
+        The 'b' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # bsrc
+    # ----
+    @property
+    def bsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  b .
+    
+        The 'bsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bsrc"]
+
+    @bsrc.setter
+    def bsrc(self, val):
+        self["bsrc"] = val
+
+    # carpet
+    # ------
+    @property
+    def carpet(self):
+        """
+        An identifier for this carpet, so that `scattercarpet` and
+        `contourcarpet` traces can specify a carpet plot on which they
+        lie
+    
+        The 'carpet' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["carpet"]
+
+    @carpet.setter
+    def carpet(self, val):
+        self["carpet"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Use with `fillcolor`
+        if not "none". scatterternary has a subset of the options
+        available to scatter. "toself" connects the endpoints of the
+        trace (or each segment of the trace if it has gaps) into a
+        closed shape. "tonext" fills the space between two traces if
+        one completely encloses the other (eg consecutive contour
+        lines), and behaves like "toself" if there is no trace before
+        it. "tonext" should not be used if one trace does not enclose
+        the other.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'toself', 'tonext']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['a', 'b', 'text', 'name'] joined with '+' characters
+            (e.g. 'a+b')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Do the hover effects highlight individual points (markers or
+        line points) or do they highlight filled regions? If the fill
+        is "toself" or "tonext" and there are no markers or text, then
+        the default is "fills", otherwise it is "points".
+    
+        The 'hoveron' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['points', 'fills'] joined with '+' characters
+            (e.g. 'points+fills')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (a,b) point. If a
+        single string, the same string appears over all the data
+        points. If an array of strings, the items are mapped in order
+        to the the data points in (a,b). To be seen, trace `hoverinfo`
+        must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                shape
+                    Determines the line shape. With "spline" the
+                    lines are drawn using spline interpolation. The
+                    other available values correspond to step-wise
+                    line shapes.
+                smoothing
+                    Has an effect only if `shape` is set to
+                    "spline" Sets the amount of smoothing. 0
+                    corresponds to no smoothing (equivalent to a
+                    "linear" shape).
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scattercarpet.mark
+                    er.ColorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                gradient
+                    :class:`plotly.graph_objects.scattercarpet.mark
+                    er.Gradient` instance or dict with compatible
+                    properties
+                line
+                    :class:`plotly.graph_objects.scattercarpet.mark
+                    er.Line` instance or dict with compatible
+                    properties
+                maxdisplayed
+                    Sets a maximum number of points to be drawn on
+                    the graph. 0 corresponds to no limit.
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattercarpet.sele
+                    cted.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scattercarpet.sele
+                    cted.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (a,b) point. If a
+        single string, the same string appears over all the data
+        points. If an array of strings, the items are mapped in order
+        to the the data points in (a,b). If trace `hoverinfo` contains
+        a "text" flag and "hovertext" is not set, these elements will
+        be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `a`, `b` and `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattercarpet.unse
+                    lected.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scattercarpet.unse
+                    lected.Textfont` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        a
+            Sets the a-axis coordinates.
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        b
+            Sets the b-axis coordinates.
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        carpet
+            An identifier for this carpet, so that `scattercarpet`
+            and `contourcarpet` traces can specify a carpet plot on
+            which they lie
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". scatterternary has a subset
+            of the options available to scatter. "toself" connects
+            the endpoints of the trace (or each segment of the
+            trace if it has gaps) into a closed shape. "tonext"
+            fills the space between two traces if one completely
+            encloses the other (eg consecutive contour lines), and
+            behaves like "toself" if there is no trace before it.
+            "tonext" should not be used if one trace does not
+            enclose the other.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattercarpet.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (a,b)
+            point. If a single string, the same string appears over
+            all the data points. If an array of strings, the items
+            are mapped in order to the the data points in (a,b). To
+            be seen, trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattercarpet.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scattercarpet.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattercarpet.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattercarpet.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each (a,b) point. If
+            a single string, the same string appears over all the
+            data points. If an array of strings, the items are
+            mapped in order to the the data points in (a,b). If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `a`, `b` and
+            `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattercarpet.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        a=None,
+        asrc=None,
+        b=None,
+        bsrc=None,
+        carpet=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        fill=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoveron=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        xaxis=None,
+        yaxis=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scattercarpet object
+        
+        Plots a scatter trace on either the first carpet axis or the
+        carpet axis with a matching `carpet` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scattercarpet`
+        a
+            Sets the a-axis coordinates.
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        b
+            Sets the b-axis coordinates.
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        carpet
+            An identifier for this carpet, so that `scattercarpet`
+            and `contourcarpet` traces can specify a carpet plot on
+            which they lie
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". scatterternary has a subset
+            of the options available to scatter. "toself" connects
+            the endpoints of the trace (or each segment of the
+            trace if it has gaps) into a closed shape. "tonext"
+            fills the space between two traces if one completely
+            encloses the other (eg consecutive contour lines), and
+            behaves like "toself" if there is no trace before it.
+            "tonext" should not be used if one trace does not
+            enclose the other.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattercarpet.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (a,b)
+            point. If a single string, the same string appears over
+            all the data points. If an array of strings, the items
+            are mapped in order to the the data points in (a,b). To
+            be seen, trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattercarpet.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scattercarpet.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattercarpet.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattercarpet.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each (a,b) point. If
+            a single string, the same string appears over all the
+            data points. If an array of strings, the items are
+            mapped in order to the the data points in (a,b). If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `a`, `b` and
+            `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattercarpet.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+
+        Returns
+        -------
+        Scattercarpet
+        """
+        super(Scattercarpet, self).__init__("scattercarpet")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scattercarpet 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scattercarpet`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("a", None)
+        _v = a if a is not None else _v
+        if _v is not None:
+            self["a"] = _v
+        _v = arg.pop("asrc", None)
+        _v = asrc if asrc is not None else _v
+        if _v is not None:
+            self["asrc"] = _v
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("bsrc", None)
+        _v = bsrc if bsrc is not None else _v
+        if _v is not None:
+            self["bsrc"] = _v
+        _v = arg.pop("carpet", None)
+        _v = carpet if carpet is not None else _v
+        if _v is not None:
+            self["carpet"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scattercarpet"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scattergeo.py b/packages/python/plotly/plotly/graph_objs/_scattergeo.py
new file mode 100644
index 00000000000..60473d095be
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scattergeo.py
@@ -0,0 +1,2236 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scattergeo(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scattergeo"
+    _valid_props = {
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "featureidkey",
+        "fill",
+        "fillcolor",
+        "geo",
+        "geojson",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "lat",
+        "latsrc",
+        "legendgroup",
+        "line",
+        "locationmode",
+        "locations",
+        "locationssrc",
+        "lon",
+        "lonsrc",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+    }
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # featureidkey
+    # ------------
+    @property
+    def featureidkey(self):
+        """
+        Sets the key in GeoJSON features which is used as id to match
+        the items included in the `locations` array. Only has an effect
+        when `geojson` is set. Support nested property, for example
+        "properties.name".
+    
+        The 'featureidkey' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["featureidkey"]
+
+    @featureidkey.setter
+    def featureidkey(self, val):
+        self["featureidkey"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Use with `fillcolor`
+        if not "none". "toself" connects the endpoints of the trace (or
+        each segment of the trace if it has gaps) into a closed shape.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'toself']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # geo
+    # ---
+    @property
+    def geo(self):
+        """
+        Sets a reference between this trace's geospatial coordinates
+        and a geographic map. If "geo" (the default value), the
+        geospatial coordinates refer to `layout.geo`. If "geo2", the
+        geospatial coordinates refer to `layout.geo2`, and so on.
+    
+        The 'geo' property is an identifier of a particular
+        subplot, of type 'geo', that may be specified as the string 'geo'
+        optionally followed by an integer >= 1
+        (e.g. 'geo', 'geo1', 'geo2', 'geo3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["geo"]
+
+    @geo.setter
+    def geo(self, val):
+        self["geo"] = val
+
+    # geojson
+    # -------
+    @property
+    def geojson(self):
+        """
+        Sets optional GeoJSON data associated with this trace. If not
+        given, the features on the base map are used when `locations`
+        is set. It can be set as a valid GeoJSON object or as a URL
+        string. Note that we only accept GeoJSONs of type
+        "FeatureCollection" or "Feature" with geometries of type
+        "Polygon" or "MultiPolygon".
+    
+        The 'geojson' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["geojson"]
+
+    @geojson.setter
+    def geojson(self, val):
+        self["geojson"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lon', 'lat', 'location', 'text', 'name'] joined with '+' characters
+            (e.g. 'lon+lat')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (lon,lat) pair or
+        item in `locations`. If a single string, the same string
+        appears over all the data points. If an array of string, the
+        items are mapped in order to the this trace's (lon,lat) or
+        `locations` coordinates. To be seen, trace `hoverinfo` must
+        contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # lat
+    # ---
+    @property
+    def lat(self):
+        """
+        Sets the latitude coordinates (in degrees North).
+    
+        The 'lat' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lat"]
+
+    @lat.setter
+    def lat(self, val):
+        self["lat"] = val
+
+    # latsrc
+    # ------
+    @property
+    def latsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lat .
+    
+        The 'latsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["latsrc"]
+
+    @latsrc.setter
+    def latsrc(self, val):
+        self["latsrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # locationmode
+    # ------------
+    @property
+    def locationmode(self):
+        """
+        Determines the set of locations used to match entries in
+        `locations` to regions on the map. Values "ISO-3", "USA-
+        states", *country names* correspond to features on the base map
+        and value "geojson-id" corresponds to features from a custom
+        GeoJSON linked to the `geojson` attribute.
+    
+        The 'locationmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['ISO-3', 'USA-states', 'country names', 'geojson-id']
+
+        Returns
+        -------
+        Any
+        """
+        return self["locationmode"]
+
+    @locationmode.setter
+    def locationmode(self, val):
+        self["locationmode"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Sets the coordinates via location IDs or names. Coordinates
+        correspond to the centroid of each location given. See
+        `locationmode` for more info.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # lon
+    # ---
+    @property
+    def lon(self):
+        """
+        Sets the longitude coordinates (in degrees East).
+    
+        The 'lon' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lon"]
+
+    @lon.setter
+    def lon(self, val):
+        self["lon"] = val
+
+    # lonsrc
+    # ------
+    @property
+    def lonsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lon .
+    
+        The 'lonsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["lonsrc"]
+
+    @lonsrc.setter
+    def lonsrc(self, val):
+        self["lonsrc"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scattergeo.marker.
+                    ColorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                gradient
+                    :class:`plotly.graph_objects.scattergeo.marker.
+                    Gradient` instance or dict with compatible
+                    properties
+                line
+                    :class:`plotly.graph_objects.scattergeo.marker.
+                    Line` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattergeo.selecte
+                    d.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scattergeo.selecte
+                    d.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (lon,lat) pair or item
+        in `locations`. If a single string, the same string appears
+        over all the data points. If an array of string, the items are
+        mapped in order to the this trace's (lon,lat) or `locations`
+        coordinates. If trace `hoverinfo` contains a "text" flag and
+        "hovertext" is not set, these elements will be seen in the
+        hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `lat`, `lon`, `location` and `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattergeo.unselec
+                    ted.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scattergeo.unselec
+                    ted.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        featureidkey
+            Sets the key in GeoJSON features which is used as id to
+            match the items included in the `locations` array. Only
+            has an effect when `geojson` is set. Support nested
+            property, for example "properties.name".
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        geo
+            Sets a reference between this trace's geospatial
+            coordinates and a geographic map. If "geo" (the default
+            value), the geospatial coordinates refer to
+            `layout.geo`. If "geo2", the geospatial coordinates
+            refer to `layout.geo2`, and so on.
+        geojson
+            Sets optional GeoJSON data associated with this trace.
+            If not given, the features on the base map are used
+            when `locations` is set. It can be set as a valid
+            GeoJSON object or as a URL string. Note that we only
+            accept GeoJSONs of type "FeatureCollection" or
+            "Feature" with geometries of type "Polygon" or
+            "MultiPolygon".
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattergeo.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (lon,lat)
+            pair or item in `locations`. If a single string, the
+            same string appears over all the data points. If an
+            array of string, the items are mapped in order to the
+            this trace's (lon,lat) or `locations` coordinates. To
+            be seen, trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        lat
+            Sets the latitude coordinates (in degrees North).
+        latsrc
+            Sets the source reference on Chart Studio Cloud for
+            lat .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattergeo.Line` instance
+            or dict with compatible properties
+        locationmode
+            Determines the set of locations used to match entries
+            in `locations` to regions on the map. Values "ISO-3",
+            "USA-states", *country names* correspond to features on
+            the base map and value "geojson-id" corresponds to
+            features from a custom GeoJSON linked to the `geojson`
+            attribute.
+        locations
+            Sets the coordinates via location IDs or names.
+            Coordinates correspond to the centroid of each location
+            given. See `locationmode` for more info.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        lon
+            Sets the longitude coordinates (in degrees East).
+        lonsrc
+            Sets the source reference on Chart Studio Cloud for
+            lon .
+        marker
+            :class:`plotly.graph_objects.scattergeo.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattergeo.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattergeo.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each (lon,lat) pair
+            or item in `locations`. If a single string, the same
+            string appears over all the data points. If an array of
+            string, the items are mapped in order to the this
+            trace's (lon,lat) or `locations` coordinates. If trace
+            `hoverinfo` contains a "text" flag and "hovertext" is
+            not set, these elements will be seen in the hover
+            labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `lat`, `lon`,
+            `location` and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattergeo.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        featureidkey=None,
+        fill=None,
+        fillcolor=None,
+        geo=None,
+        geojson=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        lat=None,
+        latsrc=None,
+        legendgroup=None,
+        line=None,
+        locationmode=None,
+        locations=None,
+        locationssrc=None,
+        lon=None,
+        lonsrc=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scattergeo object
+        
+        The data visualized as scatter point or lines on a geographic
+        map is provided either by longitude/latitude pairs in `lon` and
+        `lat` respectively or by geographic location IDs or names in
+        `locations`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scattergeo`
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        featureidkey
+            Sets the key in GeoJSON features which is used as id to
+            match the items included in the `locations` array. Only
+            has an effect when `geojson` is set. Support nested
+            property, for example "properties.name".
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        geo
+            Sets a reference between this trace's geospatial
+            coordinates and a geographic map. If "geo" (the default
+            value), the geospatial coordinates refer to
+            `layout.geo`. If "geo2", the geospatial coordinates
+            refer to `layout.geo2`, and so on.
+        geojson
+            Sets optional GeoJSON data associated with this trace.
+            If not given, the features on the base map are used
+            when `locations` is set. It can be set as a valid
+            GeoJSON object or as a URL string. Note that we only
+            accept GeoJSONs of type "FeatureCollection" or
+            "Feature" with geometries of type "Polygon" or
+            "MultiPolygon".
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattergeo.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (lon,lat)
+            pair or item in `locations`. If a single string, the
+            same string appears over all the data points. If an
+            array of string, the items are mapped in order to the
+            this trace's (lon,lat) or `locations` coordinates. To
+            be seen, trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        lat
+            Sets the latitude coordinates (in degrees North).
+        latsrc
+            Sets the source reference on Chart Studio Cloud for
+            lat .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattergeo.Line` instance
+            or dict with compatible properties
+        locationmode
+            Determines the set of locations used to match entries
+            in `locations` to regions on the map. Values "ISO-3",
+            "USA-states", *country names* correspond to features on
+            the base map and value "geojson-id" corresponds to
+            features from a custom GeoJSON linked to the `geojson`
+            attribute.
+        locations
+            Sets the coordinates via location IDs or names.
+            Coordinates correspond to the centroid of each location
+            given. See `locationmode` for more info.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        lon
+            Sets the longitude coordinates (in degrees East).
+        lonsrc
+            Sets the source reference on Chart Studio Cloud for
+            lon .
+        marker
+            :class:`plotly.graph_objects.scattergeo.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattergeo.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattergeo.Stream`
+            instance or dict with compatible properties
+        text
+            Sets text elements associated with each (lon,lat) pair
+            or item in `locations`. If a single string, the same
+            string appears over all the data points. If an array of
+            string, the items are mapped in order to the this
+            trace's (lon,lat) or `locations` coordinates. If trace
+            `hoverinfo` contains a "text" flag and "hovertext" is
+            not set, these elements will be seen in the hover
+            labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `lat`, `lon`,
+            `location` and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattergeo.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Scattergeo
+        """
+        super(Scattergeo, self).__init__("scattergeo")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scattergeo 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scattergeo`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("featureidkey", None)
+        _v = featureidkey if featureidkey is not None else _v
+        if _v is not None:
+            self["featureidkey"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("geo", None)
+        _v = geo if geo is not None else _v
+        if _v is not None:
+            self["geo"] = _v
+        _v = arg.pop("geojson", None)
+        _v = geojson if geojson is not None else _v
+        if _v is not None:
+            self["geojson"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("lat", None)
+        _v = lat if lat is not None else _v
+        if _v is not None:
+            self["lat"] = _v
+        _v = arg.pop("latsrc", None)
+        _v = latsrc if latsrc is not None else _v
+        if _v is not None:
+            self["latsrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("locationmode", None)
+        _v = locationmode if locationmode is not None else _v
+        if _v is not None:
+            self["locationmode"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("lon", None)
+        _v = lon if lon is not None else _v
+        if _v is not None:
+            self["lon"] = _v
+        _v = arg.pop("lonsrc", None)
+        _v = lonsrc if lonsrc is not None else _v
+        if _v is not None:
+            self["lonsrc"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scattergeo"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scattergl.py b/packages/python/plotly/plotly/graph_objs/_scattergl.py
new file mode 100644
index 00000000000..ccbd4ab8ae8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scattergl.py
@@ -0,0 +1,2485 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scattergl(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scattergl"
+    _valid_props = {
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "dx",
+        "dy",
+        "error_x",
+        "error_y",
+        "fill",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "x",
+        "x0",
+        "xaxis",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ycalendar",
+        "ysrc",
+    }
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # error_x
+    # -------
+    @property
+    def error_x(self):
+        """
+        The 'error_x' property is an instance of ErrorX
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.ErrorX`
+          - A dict of string/value properties that will be passed
+            to the ErrorX constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                copy_ystyle
+    
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.ErrorX
+        """
+        return self["error_x"]
+
+    @error_x.setter
+    def error_x(self, val):
+        self["error_x"] = val
+
+    # error_y
+    # -------
+    @property
+    def error_y(self):
+        """
+        The 'error_y' property is an instance of ErrorY
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.ErrorY`
+          - A dict of string/value properties that will be passed
+            to the ErrorY constructor
+    
+            Supported dict properties:
+                
+                array
+                    Sets the data corresponding the length of each
+                    error bar. Values are plotted relative to the
+                    underlying data.
+                arrayminus
+                    Sets the data corresponding the length of each
+                    error bar in the bottom (left) direction for
+                    vertical (horizontal) bars Values are plotted
+                    relative to the underlying data.
+                arrayminussrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  arrayminus .
+                arraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  array .
+                color
+                    Sets the stoke color of the error bars.
+                symmetric
+                    Determines whether or not the error bars have
+                    the same length in both direction (top/bottom
+                    for vertical bars, left/right for horizontal
+                    bars.
+                thickness
+                    Sets the thickness (in px) of the error bars.
+                traceref
+    
+                tracerefminus
+    
+                type
+                    Determines the rule used to generate the error
+                    bars. If *constant`, the bar lengths are of a
+                    constant value. Set this constant in `value`.
+                    If "percent", the bar lengths correspond to a
+                    percentage of underlying data. Set this
+                    percentage in `value`. If "sqrt", the bar
+                    lengths correspond to the sqaure of the
+                    underlying data. If "data", the bar lengths are
+                    set with data set `array`.
+                value
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars.
+                valueminus
+                    Sets the value of either the percentage (if
+                    `type` is set to "percent") or the constant (if
+                    `type` is set to "constant") corresponding to
+                    the lengths of the error bars in the bottom
+                    (left) direction for vertical (horizontal) bars
+                visible
+                    Determines whether or not this set of error
+                    bars is visible.
+                width
+                    Sets the width (in px) of the cross-bar at both
+                    ends of the error bars.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.ErrorY
+        """
+        return self["error_y"]
+
+    @error_y.setter
+    def error_y(self, val):
+        self["error_y"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Defaults to "none"
+        unless this trace is stacked, then it gets "tonexty"
+        ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor`
+        if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0
+        respectively. "tonextx" and "tonexty" fill between the
+        endpoints of this trace and the endpoints of the trace before
+        it, connecting those endpoints with straight lines (to make a
+        stacked area graph); if there is no trace before it, they
+        behave like "tozerox" and "tozeroy". "toself" connects the
+        endpoints of the trace (or each segment of the trace if it has
+        gaps) into a closed shape. "tonext" fills the space between two
+        traces if one completely encloses the other (eg consecutive
+        contour lines), and behaves like "toself" if there is no trace
+        before it. "tonext" should not be used if one trace does not
+        enclose the other. Traces in a `stackgroup` will only fill to
+        (or be filled to) other traces in the same group. With multiple
+        `stackgroup`s or some traces stacked and some not, if fill-
+        linked traces are not already consecutive, the later ones will
+        be pushed down in the drawing order.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx',
+                'toself', 'tonext']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the style of the lines.
+                shape
+                    Determines the line shape. The values
+                    correspond to step-wise line shapes.
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scattergl.marker.C
+                    olorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.scattergl.marker.L
+                    ine` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace.
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattergl.selected
+                    .Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scattergl.selected
+                    .Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattergl.unselect
+                    ed.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scattergl.unselect
+                    ed.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        error_x
+            :class:`plotly.graph_objects.scattergl.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.scattergl.ErrorY` instance
+            or dict with compatible properties
+        fill
+            Sets the area to fill with a solid color. Defaults to
+            "none" unless this trace is stacked, then it gets
+            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
+            with `fillcolor` if not "none". "tozerox" and "tozeroy"
+            fill to x=0 and y=0 respectively. "tonextx" and
+            "tonexty" fill between the endpoints of this trace and
+            the endpoints of the trace before it, connecting those
+            endpoints with straight lines (to make a stacked area
+            graph); if there is no trace before it, they behave
+            like "tozerox" and "tozeroy". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other. Traces in a `stackgroup` will only fill to (or
+            be filled to) other traces in the same group. With
+            multiple `stackgroup`s or some traces stacked and some
+            not, if fill-linked traces are not already consecutive,
+            the later ones will be pushed down in the drawing
+            order.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattergl.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattergl.Line` instance
+            or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scattergl.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace.
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattergl.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattergl.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattergl.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        dx=None,
+        dy=None,
+        error_x=None,
+        error_y=None,
+        fill=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ycalendar=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scattergl object
+        
+        The data visualized as scatter point or lines is set in `x` and
+        `y` using the WebGL plotting engine. Bubble charts are achieved
+        by setting `marker.size` and/or `marker.color` to a numerical
+        arrays.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scattergl`
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        error_x
+            :class:`plotly.graph_objects.scattergl.ErrorX` instance
+            or dict with compatible properties
+        error_y
+            :class:`plotly.graph_objects.scattergl.ErrorY` instance
+            or dict with compatible properties
+        fill
+            Sets the area to fill with a solid color. Defaults to
+            "none" unless this trace is stacked, then it gets
+            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
+            with `fillcolor` if not "none". "tozerox" and "tozeroy"
+            fill to x=0 and y=0 respectively. "tonextx" and
+            "tonexty" fill between the endpoints of this trace and
+            the endpoints of the trace before it, connecting those
+            endpoints with straight lines (to make a stacked area
+            graph); if there is no trace before it, they behave
+            like "tozerox" and "tozeroy". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other. Traces in a `stackgroup` will only fill to (or
+            be filled to) other traces in the same group. With
+            multiple `stackgroup`s or some traces stacked and some
+            not, if fill-linked traces are not already consecutive,
+            the later ones will be pushed down in the drawing
+            order.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattergl.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattergl.Line` instance
+            or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scattergl.Marker` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace.
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattergl.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattergl.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattergl.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Scattergl
+        """
+        super(Scattergl, self).__init__("scattergl")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scattergl 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scattergl`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("error_x", None)
+        _v = error_x if error_x is not None else _v
+        if _v is not None:
+            self["error_x"] = _v
+        _v = arg.pop("error_y", None)
+        _v = error_y if error_y is not None else _v
+        if _v is not None:
+            self["error_y"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scattergl"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scattermapbox.py b/packages/python/plotly/plotly/graph_objs/_scattermapbox.py
new file mode 100644
index 00000000000..543bf23087b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scattermapbox.py
@@ -0,0 +1,2005 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scattermapbox(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scattermapbox"
+    _valid_props = {
+        "below",
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "fill",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "lat",
+        "latsrc",
+        "legendgroup",
+        "line",
+        "lon",
+        "lonsrc",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "subplot",
+        "text",
+        "textfont",
+        "textposition",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+    }
+
+    # below
+    # -----
+    @property
+    def below(self):
+        """
+        Determines if this scattermapbox trace's layers are to be
+        inserted before the layer with the specified ID. By default,
+        scattermapbox layers are inserted above all the base layers. To
+        place the scattermapbox layers above every other layer, set
+        `below` to "''".
+    
+        The 'below' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["below"]
+
+    @below.setter
+    def below(self, val):
+        self["below"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Use with `fillcolor`
+        if not "none". "toself" connects the endpoints of the trace (or
+        each segment of the trace if it has gaps) into a closed shape.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'toself']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lon', 'lat', 'text', 'name'] joined with '+' characters
+            (e.g. 'lon+lat')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (lon,lat) pair If
+        a single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (lon,lat) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # lat
+    # ---
+    @property
+    def lat(self):
+        """
+        Sets the latitude coordinates (in degrees North).
+    
+        The 'lat' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lat"]
+
+    @lat.setter
+    def lat(self, val):
+        self["lat"] = val
+
+    # latsrc
+    # ------
+    @property
+    def latsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lat .
+    
+        The 'latsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["latsrc"]
+
+    @latsrc.setter
+    def latsrc(self, val):
+        self["latsrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # lon
+    # ---
+    @property
+    def lon(self):
+        """
+        Sets the longitude coordinates (in degrees East).
+    
+        The 'lon' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["lon"]
+
+    @lon.setter
+    def lon(self, val):
+        self["lon"] = val
+
+    # lonsrc
+    # ------
+    @property
+    def lonsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  lon .
+    
+        The 'lonsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["lonsrc"]
+
+    @lonsrc.setter
+    def lonsrc(self, val):
+        self["lonsrc"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scattermapbox.mark
+                    er.ColorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol. Full list:
+                    https://www.mapbox.com/maki-icons/ Note that
+                    the array `marker.color` and `marker.size` are
+                    only available for "circle" symbols.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover.
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattermapbox.sele
+                    cted.Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        mapbox subplot. If "mapbox" (the default value), the data refer
+        to `layout.mapbox`. If "mapbox2", the data refer to
+        `layout.mapbox2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'mapbox', that may be specified as the string 'mapbox'
+        optionally followed by an integer >= 1
+        (e.g. 'mapbox', 'mapbox1', 'mapbox2', 'mapbox3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (lon,lat) pair If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (lon,lat) coordinates. If trace `hoverinfo`
+        contains a "text" flag and "hovertext" is not set, these
+        elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the icon text font (color=mapbox.layer.paint.text-color,
+        size=mapbox.layer.layout.text-size). Has an effect only when
+        `type` is set to "symbol".
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `lat`, `lon` and `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scattermapbox.unse
+                    lected.Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        below
+            Determines if this scattermapbox trace's layers are to
+            be inserted before the layer with the specified ID. By
+            default, scattermapbox layers are inserted above all
+            the base layers. To place the scattermapbox layers
+            above every other layer, set `below` to "''".
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattermapbox.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (lon,lat)
+            pair If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (lon,lat)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        lat
+            Sets the latitude coordinates (in degrees North).
+        latsrc
+            Sets the source reference on Chart Studio Cloud for
+            lat .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattermapbox.Line`
+            instance or dict with compatible properties
+        lon
+            Sets the longitude coordinates (in degrees East).
+        lonsrc
+            Sets the source reference on Chart Studio Cloud for
+            lon .
+        marker
+            :class:`plotly.graph_objects.scattermapbox.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover.
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattermapbox.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattermapbox.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a mapbox subplot. If "mapbox" (the default value),
+            the data refer to `layout.mapbox`. If "mapbox2", the
+            data refer to `layout.mapbox2`, and so on.
+        text
+            Sets text elements associated with each (lon,lat) pair
+            If a single string, the same string appears over all
+            the data points. If an array of string, the items are
+            mapped in order to the this trace's (lon,lat)
+            coordinates. If trace `hoverinfo` contains a "text"
+            flag and "hovertext" is not set, these elements will be
+            seen in the hover labels.
+        textfont
+            Sets the icon text font (color=mapbox.layer.paint.text-
+            color, size=mapbox.layer.layout.text-size). Has an
+            effect only when `type` is set to "symbol".
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `lat`, `lon`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattermapbox.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        below=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        fill=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        lat=None,
+        latsrc=None,
+        legendgroup=None,
+        line=None,
+        lon=None,
+        lonsrc=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        subplot=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scattermapbox object
+        
+        The data visualized as scatter point, lines or marker symbols
+        on a Mapbox GL geographic map is provided by longitude/latitude
+        pairs in `lon` and `lat`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scattermapbox`
+        below
+            Determines if this scattermapbox trace's layers are to
+            be inserted before the layer with the specified ID. By
+            default, scattermapbox layers are inserted above all
+            the base layers. To place the scattermapbox layers
+            above every other layer, set `below` to "''".
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scattermapbox.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (lon,lat)
+            pair If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (lon,lat)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        lat
+            Sets the latitude coordinates (in degrees North).
+        latsrc
+            Sets the source reference on Chart Studio Cloud for
+            lat .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scattermapbox.Line`
+            instance or dict with compatible properties
+        lon
+            Sets the longitude coordinates (in degrees East).
+        lonsrc
+            Sets the source reference on Chart Studio Cloud for
+            lon .
+        marker
+            :class:`plotly.graph_objects.scattermapbox.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover.
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scattermapbox.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scattermapbox.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a mapbox subplot. If "mapbox" (the default value),
+            the data refer to `layout.mapbox`. If "mapbox2", the
+            data refer to `layout.mapbox2`, and so on.
+        text
+            Sets text elements associated with each (lon,lat) pair
+            If a single string, the same string appears over all
+            the data points. If an array of string, the items are
+            mapped in order to the this trace's (lon,lat)
+            coordinates. If trace `hoverinfo` contains a "text"
+            flag and "hovertext" is not set, these elements will be
+            seen in the hover labels.
+        textfont
+            Sets the icon text font (color=mapbox.layer.paint.text-
+            color, size=mapbox.layer.layout.text-size). Has an
+            effect only when `type` is set to "symbol".
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `lat`, `lon`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scattermapbox.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Scattermapbox
+        """
+        super(Scattermapbox, self).__init__("scattermapbox")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scattermapbox 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scattermapbox`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("below", None)
+        _v = below if below is not None else _v
+        if _v is not None:
+            self["below"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("lat", None)
+        _v = lat if lat is not None else _v
+        if _v is not None:
+            self["lat"] = _v
+        _v = arg.pop("latsrc", None)
+        _v = latsrc if latsrc is not None else _v
+        if _v is not None:
+            self["latsrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("lon", None)
+        _v = lon if lon is not None else _v
+        if _v is not None:
+            self["lon"] = _v
+        _v = arg.pop("lonsrc", None)
+        _v = lonsrc if lonsrc is not None else _v
+        if _v is not None:
+            self["lonsrc"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scattermapbox"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scatterpolar.py b/packages/python/plotly/plotly/graph_objs/_scatterpolar.py
new file mode 100644
index 00000000000..f20c777bbc7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scatterpolar.py
@@ -0,0 +1,2318 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scatterpolar(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scatterpolar"
+    _valid_props = {
+        "cliponaxis",
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "dr",
+        "dtheta",
+        "fill",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoveron",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "r",
+        "r0",
+        "rsrc",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "subplot",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "theta",
+        "theta0",
+        "thetasrc",
+        "thetaunit",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+    }
+
+    # cliponaxis
+    # ----------
+    @property
+    def cliponaxis(self):
+        """
+        Determines whether or not markers and text nodes are clipped
+        about the subplot axes. To show markers and text nodes above
+        axis lines and tick labels, make sure to set `xaxis.layer` and
+        `yaxis.layer` to *below traces*.
+    
+        The 'cliponaxis' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cliponaxis"]
+
+    @cliponaxis.setter
+    def cliponaxis(self, val):
+        self["cliponaxis"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dr
+    # --
+    @property
+    def dr(self):
+        """
+        Sets the r coordinate step.
+    
+        The 'dr' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dr"]
+
+    @dr.setter
+    def dr(self, val):
+        self["dr"] = val
+
+    # dtheta
+    # ------
+    @property
+    def dtheta(self):
+        """
+        Sets the theta coordinate step. By default, the `dtheta` step
+        equals the subplot's period divided by the length of the `r`
+        coordinates.
+    
+        The 'dtheta' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtheta"]
+
+    @dtheta.setter
+    def dtheta(self, val):
+        self["dtheta"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Use with `fillcolor`
+        if not "none". scatterpolar has a subset of the options
+        available to scatter. "toself" connects the endpoints of the
+        trace (or each segment of the trace if it has gaps) into a
+        closed shape. "tonext" fills the space between two traces if
+        one completely encloses the other (eg consecutive contour
+        lines), and behaves like "toself" if there is no trace before
+        it. "tonext" should not be used if one trace does not enclose
+        the other.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'toself', 'tonext']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
+            (e.g. 'r+theta')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Do the hover effects highlight individual points (markers or
+        line points) or do they highlight filled regions? If the fill
+        is "toself" or "tonext" and there are no markers or text, then
+        the default is "fills", otherwise it is "points".
+    
+        The 'hoveron' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['points', 'fills'] joined with '+' characters
+            (e.g. 'points+fills')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                shape
+                    Determines the line shape. With "spline" the
+                    lines are drawn using spline interpolation. The
+                    other available values correspond to step-wise
+                    line shapes.
+                smoothing
+                    Has an effect only if `shape` is set to
+                    "spline" Sets the amount of smoothing. 0
+                    corresponds to no smoothing (equivalent to a
+                    "linear" shape).
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scatterpolar.marke
+                    r.ColorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                gradient
+                    :class:`plotly.graph_objects.scatterpolar.marke
+                    r.Gradient` instance or dict with compatible
+                    properties
+                line
+                    :class:`plotly.graph_objects.scatterpolar.marke
+                    r.Line` instance or dict with compatible
+                    properties
+                maxdisplayed
+                    Sets a maximum number of points to be drawn on
+                    the graph. 0 corresponds to no limit.
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        Sets the radial coordinates
+    
+        The 'r' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # r0
+    # --
+    @property
+    def r0(self):
+        """
+        Alternate to `r`. Builds a linear space of r coordinates. Use
+        with `dr` where `r0` is the starting coordinate and `dr` the
+        step.
+    
+        The 'r0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["r0"]
+
+    @r0.setter
+    def r0(self, val):
+        self["r0"] = val
+
+    # rsrc
+    # ----
+    @property
+    def rsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  r .
+    
+        The 'rsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["rsrc"]
+
+    @rsrc.setter
+    def rsrc(self, val):
+        self["rsrc"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatterpolar.selec
+                    ted.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scatterpolar.selec
+                    ted.Textfont` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        polar subplot. If "polar" (the default value), the data refer
+        to `layout.polar`. If "polar2", the data refer to
+        `layout.polar2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'polar', that may be specified as the string 'polar'
+        optionally followed by an integer >= 1
+        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `r`, `theta` and `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # theta
+    # -----
+    @property
+    def theta(self):
+        """
+        Sets the angular coordinates
+    
+        The 'theta' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["theta"]
+
+    @theta.setter
+    def theta(self, val):
+        self["theta"] = val
+
+    # theta0
+    # ------
+    @property
+    def theta0(self):
+        """
+        Alternate to `theta`. Builds a linear space of theta
+        coordinates. Use with `dtheta` where `theta0` is the starting
+        coordinate and `dtheta` the step.
+    
+        The 'theta0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["theta0"]
+
+    @theta0.setter
+    def theta0(self, val):
+        self["theta0"] = val
+
+    # thetasrc
+    # --------
+    @property
+    def thetasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  theta .
+    
+        The 'thetasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["thetasrc"]
+
+    @thetasrc.setter
+    def thetasrc(self, val):
+        self["thetasrc"] = val
+
+    # thetaunit
+    # ---------
+    @property
+    def thetaunit(self):
+        """
+        Sets the unit of input "theta" values. Has an effect only when
+        on "linear" angular axes.
+    
+        The 'thetaunit' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radians', 'degrees', 'gradians']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thetaunit"]
+
+    @thetaunit.setter
+    def thetaunit(self, val):
+        self["thetaunit"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatterpolar.unsel
+                    ected.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scatterpolar.unsel
+                    ected.Textfont` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        cliponaxis
+            Determines whether or not markers and text nodes are
+            clipped about the subplot axes. To show markers and
+            text nodes above axis lines and tick labels, make sure
+            to set `xaxis.layer` and `yaxis.layer` to *below
+            traces*.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dr
+            Sets the r coordinate step.
+        dtheta
+            Sets the theta coordinate step. By default, the
+            `dtheta` step equals the subplot's period divided by
+            the length of the `r` coordinates.
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". scatterpolar has a subset of
+            the options available to scatter. "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatterpolar.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatterpolar.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatterpolar.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        r
+            Sets the radial coordinates
+        r0
+            Alternate to `r`. Builds a linear space of r
+            coordinates. Use with `dr` where `r0` is the starting
+            coordinate and `dr` the step.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.scatterpolar.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatterpolar.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a polar subplot. If "polar" (the default value),
+            the data refer to `layout.polar`. If "polar2", the data
+            refer to `layout.polar2`, and so on.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `r`, `theta`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        theta
+            Sets the angular coordinates
+        theta0
+            Alternate to `theta`. Builds a linear space of theta
+            coordinates. Use with `dtheta` where `theta0` is the
+            starting coordinate and `dtheta` the step.
+        thetasrc
+            Sets the source reference on Chart Studio Cloud for
+            theta .
+        thetaunit
+            Sets the unit of input "theta" values. Has an effect
+            only when on "linear" angular axes.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatterpolar.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        cliponaxis=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        dr=None,
+        dtheta=None,
+        fill=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoveron=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        r=None,
+        r0=None,
+        rsrc=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        subplot=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        theta=None,
+        theta0=None,
+        thetasrc=None,
+        thetaunit=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scatterpolar object
+        
+        The scatterpolar trace type encompasses line charts, scatter
+        charts, text charts, and bubble charts in polar coordinates.
+        The data visualized as scatter point or lines is set in `r`
+        (radial) and `theta` (angular) coordinates Text (appearing
+        either on the chart or on hover only) is via `text`. Bubble
+        charts are achieved by setting `marker.size` and/or
+        `marker.color` to numerical arrays.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Scatterpolar`
+        cliponaxis
+            Determines whether or not markers and text nodes are
+            clipped about the subplot axes. To show markers and
+            text nodes above axis lines and tick labels, make sure
+            to set `xaxis.layer` and `yaxis.layer` to *below
+            traces*.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dr
+            Sets the r coordinate step.
+        dtheta
+            Sets the theta coordinate step. By default, the
+            `dtheta` step equals the subplot's period divided by
+            the length of the `r` coordinates.
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". scatterpolar has a subset of
+            the options available to scatter. "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatterpolar.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatterpolar.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatterpolar.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        r
+            Sets the radial coordinates
+        r0
+            Alternate to `r`. Builds a linear space of r
+            coordinates. Use with `dr` where `r0` is the starting
+            coordinate and `dr` the step.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.scatterpolar.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatterpolar.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a polar subplot. If "polar" (the default value),
+            the data refer to `layout.polar`. If "polar2", the data
+            refer to `layout.polar2`, and so on.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `r`, `theta`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        theta
+            Sets the angular coordinates
+        theta0
+            Alternate to `theta`. Builds a linear space of theta
+            coordinates. Use with `dtheta` where `theta0` is the
+            starting coordinate and `dtheta` the step.
+        thetasrc
+            Sets the source reference on Chart Studio Cloud for
+            theta .
+        thetaunit
+            Sets the unit of input "theta" values. Has an effect
+            only when on "linear" angular axes.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatterpolar.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Scatterpolar
+        """
+        super(Scatterpolar, self).__init__("scatterpolar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scatterpolar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scatterpolar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("cliponaxis", None)
+        _v = cliponaxis if cliponaxis is not None else _v
+        if _v is not None:
+            self["cliponaxis"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dr", None)
+        _v = dr if dr is not None else _v
+        if _v is not None:
+            self["dr"] = _v
+        _v = arg.pop("dtheta", None)
+        _v = dtheta if dtheta is not None else _v
+        if _v is not None:
+            self["dtheta"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("r0", None)
+        _v = r0 if r0 is not None else _v
+        if _v is not None:
+            self["r0"] = _v
+        _v = arg.pop("rsrc", None)
+        _v = rsrc if rsrc is not None else _v
+        if _v is not None:
+            self["rsrc"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("theta", None)
+        _v = theta if theta is not None else _v
+        if _v is not None:
+            self["theta"] = _v
+        _v = arg.pop("theta0", None)
+        _v = theta0 if theta0 is not None else _v
+        if _v is not None:
+            self["theta0"] = _v
+        _v = arg.pop("thetasrc", None)
+        _v = thetasrc if thetasrc is not None else _v
+        if _v is not None:
+            self["thetasrc"] = _v
+        _v = arg.pop("thetaunit", None)
+        _v = thetaunit if thetaunit is not None else _v
+        if _v is not None:
+            self["thetaunit"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scatterpolar"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scatterpolargl.py b/packages/python/plotly/plotly/graph_objs/_scatterpolargl.py
new file mode 100644
index 00000000000..100d020d394
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scatterpolargl.py
@@ -0,0 +1,2252 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scatterpolargl(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scatterpolargl"
+    _valid_props = {
+        "connectgaps",
+        "customdata",
+        "customdatasrc",
+        "dr",
+        "dtheta",
+        "fill",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "r",
+        "r0",
+        "rsrc",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "subplot",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "theta",
+        "theta0",
+        "thetasrc",
+        "thetaunit",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+    }
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # dr
+    # --
+    @property
+    def dr(self):
+        """
+        Sets the r coordinate step.
+    
+        The 'dr' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dr"]
+
+    @dr.setter
+    def dr(self, val):
+        self["dr"] = val
+
+    # dtheta
+    # ------
+    @property
+    def dtheta(self):
+        """
+        Sets the theta coordinate step. By default, the `dtheta` step
+        equals the subplot's period divided by the length of the `r`
+        coordinates.
+    
+        The 'dtheta' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtheta"]
+
+    @dtheta.setter
+    def dtheta(self, val):
+        self["dtheta"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Defaults to "none"
+        unless this trace is stacked, then it gets "tonexty"
+        ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor`
+        if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0
+        respectively. "tonextx" and "tonexty" fill between the
+        endpoints of this trace and the endpoints of the trace before
+        it, connecting those endpoints with straight lines (to make a
+        stacked area graph); if there is no trace before it, they
+        behave like "tozerox" and "tozeroy". "toself" connects the
+        endpoints of the trace (or each segment of the trace if it has
+        gaps) into a closed shape. "tonext" fills the space between two
+        traces if one completely encloses the other (eg consecutive
+        contour lines), and behaves like "toself" if there is no trace
+        before it. "tonext" should not be used if one trace does not
+        enclose the other. Traces in a `stackgroup` will only fill to
+        (or be filled to) other traces in the same group. With multiple
+        `stackgroup`s or some traces stacked and some not, if fill-
+        linked traces are not already consecutive, the later ones will
+        be pushed down in the drawing order.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx',
+                'toself', 'tonext']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
+            (e.g. 'r+theta')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the style of the lines.
+                shape
+                    Determines the line shape. The values
+                    correspond to step-wise line shapes.
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scatterpolargl.mar
+                    ker.ColorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.scatterpolargl.mar
+                    ker.Line` instance or dict with compatible
+                    properties
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        Sets the radial coordinates
+    
+        The 'r' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # r0
+    # --
+    @property
+    def r0(self):
+        """
+        Alternate to `r`. Builds a linear space of r coordinates. Use
+        with `dr` where `r0` is the starting coordinate and `dr` the
+        step.
+    
+        The 'r0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["r0"]
+
+    @r0.setter
+    def r0(self, val):
+        self["r0"] = val
+
+    # rsrc
+    # ----
+    @property
+    def rsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  r .
+    
+        The 'rsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["rsrc"]
+
+    @rsrc.setter
+    def rsrc(self, val):
+        self["rsrc"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatterpolargl.sel
+                    ected.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scatterpolargl.sel
+                    ected.Textfont` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        polar subplot. If "polar" (the default value), the data refer
+        to `layout.polar`. If "polar2", the data refer to
+        `layout.polar2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'polar', that may be specified as the string 'polar'
+        optionally followed by an integer >= 1
+        (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `r`, `theta` and `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # theta
+    # -----
+    @property
+    def theta(self):
+        """
+        Sets the angular coordinates
+    
+        The 'theta' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["theta"]
+
+    @theta.setter
+    def theta(self, val):
+        self["theta"] = val
+
+    # theta0
+    # ------
+    @property
+    def theta0(self):
+        """
+        Alternate to `theta`. Builds a linear space of theta
+        coordinates. Use with `dtheta` where `theta0` is the starting
+        coordinate and `dtheta` the step.
+    
+        The 'theta0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["theta0"]
+
+    @theta0.setter
+    def theta0(self, val):
+        self["theta0"] = val
+
+    # thetasrc
+    # --------
+    @property
+    def thetasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  theta .
+    
+        The 'thetasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["thetasrc"]
+
+    @thetasrc.setter
+    def thetasrc(self, val):
+        self["thetasrc"] = val
+
+    # thetaunit
+    # ---------
+    @property
+    def thetaunit(self):
+        """
+        Sets the unit of input "theta" values. Has an effect only when
+        on "linear" angular axes.
+    
+        The 'thetaunit' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radians', 'degrees', 'gradians']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thetaunit"]
+
+    @thetaunit.setter
+    def thetaunit(self, val):
+        self["thetaunit"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatterpolargl.uns
+                    elected.Marker` instance or dict with
+                    compatible properties
+                textfont
+                    :class:`plotly.graph_objects.scatterpolargl.uns
+                    elected.Textfont` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dr
+            Sets the r coordinate step.
+        dtheta
+            Sets the theta coordinate step. By default, the
+            `dtheta` step equals the subplot's period divided by
+            the length of the `r` coordinates.
+        fill
+            Sets the area to fill with a solid color. Defaults to
+            "none" unless this trace is stacked, then it gets
+            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
+            with `fillcolor` if not "none". "tozerox" and "tozeroy"
+            fill to x=0 and y=0 respectively. "tonextx" and
+            "tonexty" fill between the endpoints of this trace and
+            the endpoints of the trace before it, connecting those
+            endpoints with straight lines (to make a stacked area
+            graph); if there is no trace before it, they behave
+            like "tozerox" and "tozeroy". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other. Traces in a `stackgroup` will only fill to (or
+            be filled to) other traces in the same group. With
+            multiple `stackgroup`s or some traces stacked and some
+            not, if fill-linked traces are not already consecutive,
+            the later ones will be pushed down in the drawing
+            order.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatterpolargl.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatterpolargl.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatterpolargl.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        r
+            Sets the radial coordinates
+        r0
+            Alternate to `r`. Builds a linear space of r
+            coordinates. Use with `dr` where `r0` is the starting
+            coordinate and `dr` the step.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.scatterpolargl.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatterpolargl.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a polar subplot. If "polar" (the default value),
+            the data refer to `layout.polar`. If "polar2", the data
+            refer to `layout.polar2`, and so on.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `r`, `theta`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        theta
+            Sets the angular coordinates
+        theta0
+            Alternate to `theta`. Builds a linear space of theta
+            coordinates. Use with `dtheta` where `theta0` is the
+            starting coordinate and `dtheta` the step.
+        thetasrc
+            Sets the source reference on Chart Studio Cloud for
+            theta .
+        thetaunit
+            Sets the unit of input "theta" values. Has an effect
+            only when on "linear" angular axes.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatterpolargl.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        connectgaps=None,
+        customdata=None,
+        customdatasrc=None,
+        dr=None,
+        dtheta=None,
+        fill=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        r=None,
+        r0=None,
+        rsrc=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        subplot=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        theta=None,
+        theta0=None,
+        thetasrc=None,
+        thetaunit=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scatterpolargl object
+        
+        The scatterpolargl trace type encompasses line charts, scatter
+        charts, and bubble charts in polar coordinates using the WebGL
+        plotting engine. The data visualized as scatter point or lines
+        is set in `r` (radial) and `theta` (angular) coordinates Bubble
+        charts are achieved by setting `marker.size` and/or
+        `marker.color` to numerical arrays.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.Scatterpolargl`
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        dr
+            Sets the r coordinate step.
+        dtheta
+            Sets the theta coordinate step. By default, the
+            `dtheta` step equals the subplot's period divided by
+            the length of the `r` coordinates.
+        fill
+            Sets the area to fill with a solid color. Defaults to
+            "none" unless this trace is stacked, then it gets
+            "tonexty" ("tonextx") if `orientation` is "v" ("h") Use
+            with `fillcolor` if not "none". "tozerox" and "tozeroy"
+            fill to x=0 and y=0 respectively. "tonextx" and
+            "tonexty" fill between the endpoints of this trace and
+            the endpoints of the trace before it, connecting those
+            endpoints with straight lines (to make a stacked area
+            graph); if there is no trace before it, they behave
+            like "tozerox" and "tozeroy". "toself" connects the
+            endpoints of the trace (or each segment of the trace if
+            it has gaps) into a closed shape. "tonext" fills the
+            space between two traces if one completely encloses the
+            other (eg consecutive contour lines), and behaves like
+            "toself" if there is no trace before it. "tonext"
+            should not be used if one trace does not enclose the
+            other. Traces in a `stackgroup` will only fill to (or
+            be filled to) other traces in the same group. With
+            multiple `stackgroup`s or some traces stacked and some
+            not, if fill-linked traces are not already consecutive,
+            the later ones will be pushed down in the drawing
+            order.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatterpolargl.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatterpolargl.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatterpolargl.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        r
+            Sets the radial coordinates
+        r0
+            Alternate to `r`. Builds a linear space of r
+            coordinates. Use with `dr` where `r0` is the starting
+            coordinate and `dr` the step.
+        rsrc
+            Sets the source reference on Chart Studio Cloud for  r
+            .
+        selected
+            :class:`plotly.graph_objects.scatterpolargl.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatterpolargl.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a polar subplot. If "polar" (the default value),
+            the data refer to `layout.polar`. If "polar2", the data
+            refer to `layout.polar2`, and so on.
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `r`, `theta`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        theta
+            Sets the angular coordinates
+        theta0
+            Alternate to `theta`. Builds a linear space of theta
+            coordinates. Use with `dtheta` where `theta0` is the
+            starting coordinate and `dtheta` the step.
+        thetasrc
+            Sets the source reference on Chart Studio Cloud for
+            theta .
+        thetaunit
+            Sets the unit of input "theta" values. Has an effect
+            only when on "linear" angular axes.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatterpolargl.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Scatterpolargl
+        """
+        super(Scatterpolargl, self).__init__("scatterpolargl")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scatterpolargl 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scatterpolargl`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("dr", None)
+        _v = dr if dr is not None else _v
+        if _v is not None:
+            self["dr"] = _v
+        _v = arg.pop("dtheta", None)
+        _v = dtheta if dtheta is not None else _v
+        if _v is not None:
+            self["dtheta"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("r0", None)
+        _v = r0 if r0 is not None else _v
+        if _v is not None:
+            self["r0"] = _v
+        _v = arg.pop("rsrc", None)
+        _v = rsrc if rsrc is not None else _v
+        if _v is not None:
+            self["rsrc"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("theta", None)
+        _v = theta if theta is not None else _v
+        if _v is not None:
+            self["theta"] = _v
+        _v = arg.pop("theta0", None)
+        _v = theta0 if theta0 is not None else _v
+        if _v is not None:
+            self["theta0"] = _v
+        _v = arg.pop("thetasrc", None)
+        _v = thetasrc if thetasrc is not None else _v
+        if _v is not None:
+            self["thetasrc"] = _v
+        _v = arg.pop("thetaunit", None)
+        _v = thetaunit if thetaunit is not None else _v
+        if _v is not None:
+            self["thetaunit"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scatterpolargl"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_scatterternary.py b/packages/python/plotly/plotly/graph_objs/_scatterternary.py
new file mode 100644
index 00000000000..8a6e42065b7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_scatterternary.py
@@ -0,0 +1,2284 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Scatterternary(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "scatterternary"
+    _valid_props = {
+        "a",
+        "asrc",
+        "b",
+        "bsrc",
+        "c",
+        "cliponaxis",
+        "connectgaps",
+        "csrc",
+        "customdata",
+        "customdatasrc",
+        "fill",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoveron",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "line",
+        "marker",
+        "meta",
+        "metasrc",
+        "mode",
+        "name",
+        "opacity",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "subplot",
+        "sum",
+        "text",
+        "textfont",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+    }
+
+    # a
+    # -
+    @property
+    def a(self):
+        """
+        Sets the quantity of component `a` in each data point. If `a`,
+        `b`, and `c` are all provided, they need not be normalized,
+        only the relative values matter. If only two arrays are
+        provided they must be normalized to match `ternary<i>.sum`.
+    
+        The 'a' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["a"]
+
+    @a.setter
+    def a(self, val):
+        self["a"] = val
+
+    # asrc
+    # ----
+    @property
+    def asrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  a .
+    
+        The 'asrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["asrc"]
+
+    @asrc.setter
+    def asrc(self, val):
+        self["asrc"] = val
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        Sets the quantity of component `a` in each data point. If `a`,
+        `b`, and `c` are all provided, they need not be normalized,
+        only the relative values matter. If only two arrays are
+        provided they must be normalized to match `ternary<i>.sum`.
+    
+        The 'b' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # bsrc
+    # ----
+    @property
+    def bsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  b .
+    
+        The 'bsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bsrc"]
+
+    @bsrc.setter
+    def bsrc(self, val):
+        self["bsrc"] = val
+
+    # c
+    # -
+    @property
+    def c(self):
+        """
+        Sets the quantity of component `a` in each data point. If `a`,
+        `b`, and `c` are all provided, they need not be normalized,
+        only the relative values matter. If only two arrays are
+        provided they must be normalized to match `ternary<i>.sum`.
+    
+        The 'c' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["c"]
+
+    @c.setter
+    def c(self, val):
+        self["c"] = val
+
+    # cliponaxis
+    # ----------
+    @property
+    def cliponaxis(self):
+        """
+        Determines whether or not markers and text nodes are clipped
+        about the subplot axes. To show markers and text nodes above
+        axis lines and tick labels, make sure to set `xaxis.layer` and
+        `yaxis.layer` to *below traces*.
+    
+        The 'cliponaxis' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cliponaxis"]
+
+    @cliponaxis.setter
+    def cliponaxis(self, val):
+        self["cliponaxis"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the provided data arrays are connected.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # csrc
+    # ----
+    @property
+    def csrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  c .
+    
+        The 'csrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["csrc"]
+
+    @csrc.setter
+    def csrc(self, val):
+        self["csrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the area to fill with a solid color. Use with `fillcolor`
+        if not "none". scatterternary has a subset of the options
+        available to scatter. "toself" connects the endpoints of the
+        trace (or each segment of the trace if it has gaps) into a
+        closed shape. "tonext" fills the space between two traces if
+        one completely encloses the other (eg consecutive contour
+        lines), and behaves like "toself" if there is no trace before
+        it. "tonext" should not be used if one trace does not enclose
+        the other.
+    
+        The 'fill' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'toself', 'tonext']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['a', 'b', 'c', 'text', 'name'] joined with '+' characters
+            (e.g. 'a+b')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Do the hover effects highlight individual points (markers or
+        line points) or do they highlight filled regions? If the fill
+        is "toself" or "tonext" and there are no markers or text, then
+        the default is "fills", otherwise it is "points".
+    
+        The 'hoveron' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['points', 'fills'] joined with '+' characters
+            (e.g. 'points+fills')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (a,b,c) point. If
+        a single string, the same string appears over all the data
+        points. If an array of strings, the items are mapped in order
+        to the the data points in (a,b,c). To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                shape
+                    Determines the line shape. With "spline" the
+                    lines are drawn using spline interpolation. The
+                    other available values correspond to step-wise
+                    line shapes.
+                smoothing
+                    Has an effect only if `shape` is set to
+                    "spline" Sets the amount of smoothing. 0
+                    corresponds to no smoothing (equivalent to a
+                    "linear" shape).
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.scatterternary.mar
+                    ker.ColorBar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                gradient
+                    :class:`plotly.graph_objects.scatterternary.mar
+                    ker.Gradient` instance or dict with compatible
+                    properties
+                line
+                    :class:`plotly.graph_objects.scatterternary.mar
+                    ker.Line` instance or dict with compatible
+                    properties
+                maxdisplayed
+                    Sets a maximum number of points to be drawn on
+                    the graph. 0 corresponds to no limit.
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines the drawing mode for this scatter trace. If the
+        provided `mode` includes "text" then the `text` elements appear
+        at the coordinates. Otherwise, the `text` elements appear on
+        hover. If there are less than 20 points and the trace is not
+        stacked then the default is "lines+markers". Otherwise,
+        "lines".
+    
+        The 'mode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
+            (e.g. 'lines+markers')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatterternary.sel
+                    ected.Marker` instance or dict with compatible
+                    properties
+                textfont
+                    :class:`plotly.graph_objects.scatterternary.sel
+                    ected.Textfont` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # subplot
+    # -------
+    @property
+    def subplot(self):
+        """
+        Sets a reference between this trace's data coordinates and a
+        ternary subplot. If "ternary" (the default value), the data
+        refer to `layout.ternary`. If "ternary2", the data refer to
+        `layout.ternary2`, and so on.
+    
+        The 'subplot' property is an identifier of a particular
+        subplot, of type 'ternary', that may be specified as the string 'ternary'
+        optionally followed by an integer >= 1
+        (e.g. 'ternary', 'ternary1', 'ternary2', 'ternary3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["subplot"]
+
+    @subplot.setter
+    def subplot(self, val):
+        self["subplot"] = val
+
+    # sum
+    # ---
+    @property
+    def sum(self):
+        """
+        The number each triplet should sum to, if only two of `a`, `b`,
+        and `c` are provided. This overrides `ternary<i>.sum` to
+        normalize this specific trace, but does not affect the values
+        displayed on the axes. 0 (or missing) means to use
+        ternary<i>.sum
+    
+        The 'sum' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sum"]
+
+    @sum.setter
+    def sum(self, val):
+        self["sum"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (a,b,c) point. If a
+        single string, the same string appears over all the data
+        points. If an array of strings, the items are mapped in order
+        to the the data points in (a,b,c). If trace `hoverinfo`
+        contains a "text" flag and "hovertext" is not set, these
+        elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the text font.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `a`, `b`, `c` and `text`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.scatterternary.uns
+                    elected.Marker` instance or dict with
+                    compatible properties
+                textfont
+                    :class:`plotly.graph_objects.scatterternary.uns
+                    elected.Textfont` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        a
+            Sets the quantity of component `a` in each data point.
+            If `a`, `b`, and `c` are all provided, they need not be
+            normalized, only the relative values matter. If only
+            two arrays are provided they must be normalized to
+            match `ternary<i>.sum`.
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        b
+            Sets the quantity of component `a` in each data point.
+            If `a`, `b`, and `c` are all provided, they need not be
+            normalized, only the relative values matter. If only
+            two arrays are provided they must be normalized to
+            match `ternary<i>.sum`.
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        c
+            Sets the quantity of component `a` in each data point.
+            If `a`, `b`, and `c` are all provided, they need not be
+            normalized, only the relative values matter. If only
+            two arrays are provided they must be normalized to
+            match `ternary<i>.sum`.
+        cliponaxis
+            Determines whether or not markers and text nodes are
+            clipped about the subplot axes. To show markers and
+            text nodes above axis lines and tick labels, make sure
+            to set `xaxis.layer` and `yaxis.layer` to *below
+            traces*.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        csrc
+            Sets the source reference on Chart Studio Cloud for  c
+            .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". scatterternary has a subset
+            of the options available to scatter. "toself" connects
+            the endpoints of the trace (or each segment of the
+            trace if it has gaps) into a closed shape. "tonext"
+            fills the space between two traces if one completely
+            encloses the other (eg consecutive contour lines), and
+            behaves like "toself" if there is no trace before it.
+            "tonext" should not be used if one trace does not
+            enclose the other.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatterternary.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (a,b,c)
+            point. If a single string, the same string appears over
+            all the data points. If an array of strings, the items
+            are mapped in order to the the data points in (a,b,c).
+            To be seen, trace `hoverinfo` must contain a "text"
+            flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatterternary.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatterternary.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scatterternary.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatterternary.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a ternary subplot. If "ternary" (the default
+            value), the data refer to `layout.ternary`. If
+            "ternary2", the data refer to `layout.ternary2`, and so
+            on.
+        sum
+            The number each triplet should sum to, if only two of
+            `a`, `b`, and `c` are provided. This overrides
+            `ternary<i>.sum` to normalize this specific trace, but
+            does not affect the values displayed on the axes. 0 (or
+            missing) means to use ternary<i>.sum
+        text
+            Sets text elements associated with each (a,b,c) point.
+            If a single string, the same string appears over all
+            the data points. If an array of strings, the items are
+            mapped in order to the the data points in (a,b,c). If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `a`, `b`, `c`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatterternary.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        a=None,
+        asrc=None,
+        b=None,
+        bsrc=None,
+        c=None,
+        cliponaxis=None,
+        connectgaps=None,
+        csrc=None,
+        customdata=None,
+        customdatasrc=None,
+        fill=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoveron=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        mode=None,
+        name=None,
+        opacity=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        subplot=None,
+        sum=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scatterternary object
+        
+        Provides similar functionality to the "scatter" type but on a
+        ternary phase diagram. The data is provided by at least two
+        arrays out of `a`, `b`, `c` triplets.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.Scatterternary`
+        a
+            Sets the quantity of component `a` in each data point.
+            If `a`, `b`, and `c` are all provided, they need not be
+            normalized, only the relative values matter. If only
+            two arrays are provided they must be normalized to
+            match `ternary<i>.sum`.
+        asrc
+            Sets the source reference on Chart Studio Cloud for  a
+            .
+        b
+            Sets the quantity of component `a` in each data point.
+            If `a`, `b`, and `c` are all provided, they need not be
+            normalized, only the relative values matter. If only
+            two arrays are provided they must be normalized to
+            match `ternary<i>.sum`.
+        bsrc
+            Sets the source reference on Chart Studio Cloud for  b
+            .
+        c
+            Sets the quantity of component `a` in each data point.
+            If `a`, `b`, and `c` are all provided, they need not be
+            normalized, only the relative values matter. If only
+            two arrays are provided they must be normalized to
+            match `ternary<i>.sum`.
+        cliponaxis
+            Determines whether or not markers and text nodes are
+            clipped about the subplot axes. To show markers and
+            text nodes above axis lines and tick labels, make sure
+            to set `xaxis.layer` and `yaxis.layer` to *below
+            traces*.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the provided data arrays are connected.
+        csrc
+            Sets the source reference on Chart Studio Cloud for  c
+            .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fill
+            Sets the area to fill with a solid color. Use with
+            `fillcolor` if not "none". scatterternary has a subset
+            of the options available to scatter. "toself" connects
+            the endpoints of the trace (or each segment of the
+            trace if it has gaps) into a closed shape. "tonext"
+            fills the space between two traces if one completely
+            encloses the other (eg consecutive contour lines), and
+            behaves like "toself" if there is no trace before it.
+            "tonext" should not be used if one trace does not
+            enclose the other.
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.scatterternary.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual points
+            (markers or line points) or do they highlight filled
+            regions? If the fill is "toself" or "tonext" and there
+            are no markers or text, then the default is "fills",
+            otherwise it is "points".
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (a,b,c)
+            point. If a single string, the same string appears over
+            all the data points. If an array of strings, the items
+            are mapped in order to the the data points in (a,b,c).
+            To be seen, trace `hoverinfo` must contain a "text"
+            flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.scatterternary.Line`
+            instance or dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.scatterternary.Marker`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        mode
+            Determines the drawing mode for this scatter trace. If
+            the provided `mode` includes "text" then the `text`
+            elements appear at the coordinates. Otherwise, the
+            `text` elements appear on hover. If there are less than
+            20 points and the trace is not stacked then the default
+            is "lines+markers". Otherwise, "lines".
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.scatterternary.Selected`
+            instance or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.scatterternary.Stream`
+            instance or dict with compatible properties
+        subplot
+            Sets a reference between this trace's data coordinates
+            and a ternary subplot. If "ternary" (the default
+            value), the data refer to `layout.ternary`. If
+            "ternary2", the data refer to `layout.ternary2`, and so
+            on.
+        sum
+            The number each triplet should sum to, if only two of
+            `a`, `b`, and `c` are provided. This overrides
+            `ternary<i>.sum` to normalize this specific trace, but
+            does not affect the values displayed on the axes. 0 (or
+            missing) means to use ternary<i>.sum
+        text
+            Sets text elements associated with each (a,b,c) point.
+            If a single string, the same string appears over all
+            the data points. If an array of strings, the items are
+            mapped in order to the the data points in (a,b,c). If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textfont
+            Sets the text font.
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `a`, `b`, `c`
+            and `text`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.scatterternary.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Scatterternary
+        """
+        super(Scatterternary, self).__init__("scatterternary")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Scatterternary 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Scatterternary`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("a", None)
+        _v = a if a is not None else _v
+        if _v is not None:
+            self["a"] = _v
+        _v = arg.pop("asrc", None)
+        _v = asrc if asrc is not None else _v
+        if _v is not None:
+            self["asrc"] = _v
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("bsrc", None)
+        _v = bsrc if bsrc is not None else _v
+        if _v is not None:
+            self["bsrc"] = _v
+        _v = arg.pop("c", None)
+        _v = c if c is not None else _v
+        if _v is not None:
+            self["c"] = _v
+        _v = arg.pop("cliponaxis", None)
+        _v = cliponaxis if cliponaxis is not None else _v
+        if _v is not None:
+            self["cliponaxis"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("csrc", None)
+        _v = csrc if csrc is not None else _v
+        if _v is not None:
+            self["csrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("subplot", None)
+        _v = subplot if subplot is not None else _v
+        if _v is not None:
+            self["subplot"] = _v
+        _v = arg.pop("sum", None)
+        _v = sum if sum is not None else _v
+        if _v is not None:
+            self["sum"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "scatterternary"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_splom.py b/packages/python/plotly/plotly/graph_objs/_splom.py
new file mode 100644
index 00000000000..0f27e288a03
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_splom.py
@@ -0,0 +1,1676 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Splom(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "splom"
+    _valid_props = {
+        "customdata",
+        "customdatasrc",
+        "diagonal",
+        "dimensiondefaults",
+        "dimensions",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "marker",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "showlowerhalf",
+        "showupperhalf",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "xaxes",
+        "yaxes",
+    }
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # diagonal
+    # --------
+    @property
+    def diagonal(self):
+        """
+        The 'diagonal' property is an instance of Diagonal
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Diagonal`
+          - A dict of string/value properties that will be passed
+            to the Diagonal constructor
+    
+            Supported dict properties:
+                
+                visible
+                    Determines whether or not subplots on the
+                    diagonal are displayed.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Diagonal
+        """
+        return self["diagonal"]
+
+    @diagonal.setter
+    def diagonal(self, val):
+        self["diagonal"] = val
+
+    # dimensions
+    # ----------
+    @property
+    def dimensions(self):
+        """
+        The 'dimensions' property is a tuple of instances of
+        Dimension that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.splom.Dimension
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Dimension constructor
+    
+            Supported dict properties:
+                
+                axis
+                    :class:`plotly.graph_objects.splom.dimension.Ax
+                    is` instance or dict with compatible properties
+                label
+                    Sets the label corresponding to this splom
+                    dimension.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                values
+                    Sets the dimension values to be plotted.
+                valuessrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  values .
+                visible
+                    Determines whether or not this dimension is
+                    shown on the graph. Note that even visible
+                    false dimension contribute to the default grid
+                    generate by this splom trace.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.splom.Dimension]
+        """
+        return self["dimensions"]
+
+    @dimensions.setter
+    def dimensions(self, val):
+        self["dimensions"] = val
+
+    # dimensiondefaults
+    # -----------------
+    @property
+    def dimensiondefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.splom.dimensiondefaults), sets the default
+        property values to use for elements of splom.dimensions
+    
+        The 'dimensiondefaults' property is an instance of Dimension
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Dimension`
+          - A dict of string/value properties that will be passed
+            to the Dimension constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Dimension
+        """
+        return self["dimensiondefaults"]
+
+    @dimensiondefaults.setter
+    def dimensiondefaults(self, val):
+        self["dimensiondefaults"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.color`) or the bounds set in
+                    `marker.cmin` and `marker.cmax`  Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Defaults to `false` when `marker.cmin`
+                    and `marker.cmax` are set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if in `marker.color`is set to a numerical
+                    array. Value should have the same units as in
+                    `marker.color`. Has no effect when
+                    `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.color`is set to a
+                    numerical array. Value should have the same
+                    units as in `marker.color` and if set,
+                    `marker.cmax` must be set as well.
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.splom.marker.Color
+                    Bar` instance or dict with compatible
+                    properties
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.color`is set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                line
+                    :class:`plotly.graph_objects.splom.marker.Line`
+                    instance or dict with compatible properties
+                opacity
+                    Sets the marker opacity.
+                opacitysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  opacity .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.color`is set to a
+                    numerical array. If true, `marker.cmin` will
+                    correspond to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    in `marker.color`is set to a numerical array.
+                size
+                    Sets the marker size (in px).
+                sizemin
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the minimum size (in px)
+                    of the rendered marker points.
+                sizemode
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the rule for which the
+                    data in `size` is converted to pixels.
+                sizeref
+                    Has an effect only if `marker.size` is set to a
+                    numerical array. Sets the scale factor used to
+                    determine the rendered size of marker points.
+                    Use with `sizemin` and `sizemode`.
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+                symbolsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  symbol .
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.splom.selected.Mar
+                    ker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showlowerhalf
+    # -------------
+    @property
+    def showlowerhalf(self):
+        """
+        Determines whether or not subplots on the lower half from the
+        diagonal are displayed.
+    
+        The 'showlowerhalf' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlowerhalf"]
+
+    @showlowerhalf.setter
+    def showlowerhalf(self, val):
+        self["showlowerhalf"] = val
+
+    # showupperhalf
+    # -------------
+    @property
+    def showupperhalf(self):
+        """
+        Determines whether or not subplots on the upper half from the
+        diagonal are displayed.
+    
+        The 'showupperhalf' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showupperhalf"]
+
+    @showupperhalf.setter
+    def showupperhalf(self, val):
+        self["showupperhalf"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair to appear on
+        hover. If a single string, the same string appears over all the
+        data points. If an array of string, the items are mapped in
+        order to the this trace's (x,y) coordinates.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.splom.unselected.M
+                    arker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.splom.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # xaxes
+    # -----
+    @property
+    def xaxes(self):
+        """
+        Sets the list of x axes corresponding to dimensions of this
+        splom trace. By default, a splom will match the first N xaxes
+        where N is the number of input dimensions. Note that, in case
+        where `diagonal.visible` is false and `showupperhalf` or
+        `showlowerhalf` is false, this splom trace will generate one
+        less x-axis and one less y-axis.
+    
+        The 'xaxes' property is an info array that may be specified as:
+        * a list of elements where:
+          The 'xaxes[i]' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        list
+        """
+        return self["xaxes"]
+
+    @xaxes.setter
+    def xaxes(self, val):
+        self["xaxes"] = val
+
+    # yaxes
+    # -----
+    @property
+    def yaxes(self):
+        """
+        Sets the list of y axes corresponding to dimensions of this
+        splom trace. By default, a splom will match the first N yaxes
+        where N is the number of input dimensions. Note that, in case
+        where `diagonal.visible` is false and `showupperhalf` or
+        `showlowerhalf` is false, this splom trace will generate one
+        less x-axis and one less y-axis.
+    
+        The 'yaxes' property is an info array that may be specified as:
+        * a list of elements where:
+          The 'yaxes[i]' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        list
+        """
+        return self["yaxes"]
+
+    @yaxes.setter
+    def yaxes(self, val):
+        self["yaxes"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        diagonal
+            :class:`plotly.graph_objects.splom.Diagonal` instance
+            or dict with compatible properties
+        dimensions
+            A tuple of
+            :class:`plotly.graph_objects.splom.Dimension` instances
+            or dicts with compatible properties
+        dimensiondefaults
+            When used in a template (as
+            layout.template.data.splom.dimensiondefaults), sets the
+            default property values to use for elements of
+            splom.dimensions
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.splom.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.splom.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.splom.Selected` instance
+            or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showlowerhalf
+            Determines whether or not subplots on the lower half
+            from the diagonal are displayed.
+        showupperhalf
+            Determines whether or not subplots on the upper half
+            from the diagonal are displayed.
+        stream
+            :class:`plotly.graph_objects.splom.Stream` instance or
+            dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair to
+            appear on hover. If a single string, the same string
+            appears over all the data points. If an array of
+            string, the items are mapped in order to the this
+            trace's (x,y) coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.splom.Unselected` instance
+            or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        xaxes
+            Sets the list of x axes corresponding to dimensions of
+            this splom trace. By default, a splom will match the
+            first N xaxes where N is the number of input
+            dimensions. Note that, in case where `diagonal.visible`
+            is false and `showupperhalf` or `showlowerhalf` is
+            false, this splom trace will generate one less x-axis
+            and one less y-axis.
+        yaxes
+            Sets the list of y axes corresponding to dimensions of
+            this splom trace. By default, a splom will match the
+            first N yaxes where N is the number of input
+            dimensions. Note that, in case where `diagonal.visible`
+            is false and `showupperhalf` or `showlowerhalf` is
+            false, this splom trace will generate one less x-axis
+            and one less y-axis.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        customdata=None,
+        customdatasrc=None,
+        diagonal=None,
+        dimensions=None,
+        dimensiondefaults=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        marker=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        showlowerhalf=None,
+        showupperhalf=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        xaxes=None,
+        yaxes=None,
+        **kwargs
+    ):
+        """
+        Construct a new Splom object
+        
+        Splom traces generate scatter plot matrix visualizations. Each
+        splom `dimensions` items correspond to a generated axis. Values
+        for each of those dimensions are set in `dimensions[i].values`.
+        Splom traces support all `scattergl` marker style attributes.
+        Specify `layout.grid` attributes and/or layout x-axis and
+        y-axis attributes for more control over the axis positioning
+        and style.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Splom`
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        diagonal
+            :class:`plotly.graph_objects.splom.Diagonal` instance
+            or dict with compatible properties
+        dimensions
+            A tuple of
+            :class:`plotly.graph_objects.splom.Dimension` instances
+            or dicts with compatible properties
+        dimensiondefaults
+            When used in a template (as
+            layout.template.data.splom.dimensiondefaults), sets the
+            default property values to use for elements of
+            splom.dimensions
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.splom.Hoverlabel` instance
+            or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        marker
+            :class:`plotly.graph_objects.splom.Marker` instance or
+            dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        selected
+            :class:`plotly.graph_objects.splom.Selected` instance
+            or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showlowerhalf
+            Determines whether or not subplots on the lower half
+            from the diagonal are displayed.
+        showupperhalf
+            Determines whether or not subplots on the upper half
+            from the diagonal are displayed.
+        stream
+            :class:`plotly.graph_objects.splom.Stream` instance or
+            dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair to
+            appear on hover. If a single string, the same string
+            appears over all the data points. If an array of
+            string, the items are mapped in order to the this
+            trace's (x,y) coordinates.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.splom.Unselected` instance
+            or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        xaxes
+            Sets the list of x axes corresponding to dimensions of
+            this splom trace. By default, a splom will match the
+            first N xaxes where N is the number of input
+            dimensions. Note that, in case where `diagonal.visible`
+            is false and `showupperhalf` or `showlowerhalf` is
+            false, this splom trace will generate one less x-axis
+            and one less y-axis.
+        yaxes
+            Sets the list of y axes corresponding to dimensions of
+            this splom trace. By default, a splom will match the
+            first N yaxes where N is the number of input
+            dimensions. Note that, in case where `diagonal.visible`
+            is false and `showupperhalf` or `showlowerhalf` is
+            false, this splom trace will generate one less x-axis
+            and one less y-axis.
+
+        Returns
+        -------
+        Splom
+        """
+        super(Splom, self).__init__("splom")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Splom 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Splom`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("diagonal", None)
+        _v = diagonal if diagonal is not None else _v
+        if _v is not None:
+            self["diagonal"] = _v
+        _v = arg.pop("dimensions", None)
+        _v = dimensions if dimensions is not None else _v
+        if _v is not None:
+            self["dimensions"] = _v
+        _v = arg.pop("dimensiondefaults", None)
+        _v = dimensiondefaults if dimensiondefaults is not None else _v
+        if _v is not None:
+            self["dimensiondefaults"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showlowerhalf", None)
+        _v = showlowerhalf if showlowerhalf is not None else _v
+        if _v is not None:
+            self["showlowerhalf"] = _v
+        _v = arg.pop("showupperhalf", None)
+        _v = showupperhalf if showupperhalf is not None else _v
+        if _v is not None:
+            self["showupperhalf"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("xaxes", None)
+        _v = xaxes if xaxes is not None else _v
+        if _v is not None:
+            self["xaxes"] = _v
+        _v = arg.pop("yaxes", None)
+        _v = yaxes if yaxes is not None else _v
+        if _v is not None:
+            self["yaxes"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "splom"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_streamtube.py b/packages/python/plotly/plotly/graph_objs/_streamtube.py
new file mode 100644
index 00000000000..c2f16950db7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_streamtube.py
@@ -0,0 +1,2306 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Streamtube(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "streamtube"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "customdata",
+        "customdatasrc",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "lighting",
+        "lightposition",
+        "maxdisplayed",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "reversescale",
+        "scene",
+        "showlegend",
+        "showscale",
+        "sizeref",
+        "starts",
+        "stream",
+        "text",
+        "type",
+        "u",
+        "uid",
+        "uirevision",
+        "usrc",
+        "v",
+        "visible",
+        "vsrc",
+        "w",
+        "wsrc",
+        "x",
+        "xsrc",
+        "y",
+        "ysrc",
+        "z",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here u/v/w norm) or the bounds set
+        in `cmin` and `cmax`  Defaults to `false` when `cmin` and
+        `cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as u/v/w norm and if set, `cmin` must be set as
+        well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as u/v/w norm. Has no effect when `cauto` is
+        `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as u/v/w norm and if set, `cmax` must be set as
+        well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.streamt
+                    ube.colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.streamtube.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of streamtube.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.streamtube.colorba
+                    r.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    streamtube.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    streamtube.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'divergence', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `tubex`, `tubey`, `tubez`, `tubeu`, `tubev`, `tubew`,
+        `norm` and `divergence`. Anything contained in tag `<extra>` is
+        displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lighting
+    # --------
+    @property
+    def lighting(self):
+        """
+        The 'lighting' property is an instance of Lighting
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.Lighting`
+          - A dict of string/value properties that will be passed
+            to the Lighting constructor
+    
+            Supported dict properties:
+                
+                ambient
+                    Ambient light increases overall color
+                    visibility but can wash out the image.
+                diffuse
+                    Represents the extent that incident rays are
+                    reflected in a range of angles.
+                facenormalsepsilon
+                    Epsilon for face normals calculation avoids
+                    math issues arising from degenerate geometry.
+                fresnel
+                    Represents the reflectance as a dependency of
+                    the viewing angle; e.g. paper is reflective
+                    when viewing it from the edge of the paper
+                    (almost 90 degrees), causing shine.
+                roughness
+                    Alters specular reflection; the rougher the
+                    surface, the wider and less contrasty the
+                    shine.
+                specular
+                    Represents the level that incident rays are
+                    reflected in a single direction, causing shine.
+                vertexnormalsepsilon
+                    Epsilon for vertex normals calculation avoids
+                    math issues arising from degenerate geometry.
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.Lighting
+        """
+        return self["lighting"]
+
+    @lighting.setter
+    def lighting(self, val):
+        self["lighting"] = val
+
+    # lightposition
+    # -------------
+    @property
+    def lightposition(self):
+        """
+        The 'lightposition' property is an instance of Lightposition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.Lightposition`
+          - A dict of string/value properties that will be passed
+            to the Lightposition constructor
+    
+            Supported dict properties:
+                
+                x
+                    Numeric vector, representing the X coordinate
+                    for each vertex.
+                y
+                    Numeric vector, representing the Y coordinate
+                    for each vertex.
+                z
+                    Numeric vector, representing the Z coordinate
+                    for each vertex.
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.Lightposition
+        """
+        return self["lightposition"]
+
+    @lightposition.setter
+    def lightposition(self, val):
+        self["lightposition"] = val
+
+    # maxdisplayed
+    # ------------
+    @property
+    def maxdisplayed(self):
+        """
+        The maximum number of displayed segments in a streamtube.
+    
+        The 'maxdisplayed' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["maxdisplayed"]
+
+    @maxdisplayed.setter
+    def maxdisplayed(self, val):
+        self["maxdisplayed"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the surface. Please note that in the case
+        of using high `opacity` values for example a value greater than
+        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
+        an overlay of multiple transparent surfaces may not perfectly
+        be sorted in depth by the webgl API. This behavior may be
+        improved in the near future and is subject to change.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        The scaling factor for the streamtubes. The default is 1, which
+        avoids two max divergence tubes from touching at adjacent
+        starting positions.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # starts
+    # ------
+    @property
+    def starts(self):
+        """
+        The 'starts' property is an instance of Starts
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.Starts`
+          - A dict of string/value properties that will be passed
+            to the Starts constructor
+    
+            Supported dict properties:
+                
+                x
+                    Sets the x components of the starting position
+                    of the streamtubes
+                xsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  x .
+                y
+                    Sets the y components of the starting position
+                    of the streamtubes
+                ysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  y .
+                z
+                    Sets the z components of the starting position
+                    of the streamtubes
+                zsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  z .
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.Starts
+        """
+        return self["starts"]
+
+    @starts.setter
+    def starts(self, val):
+        self["starts"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets a text element associated with this trace. If trace
+        `hoverinfo` contains a "text" flag, this text element will be
+        seen in all hover labels. Note that streamtube traces do not
+        support array `text` values.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # u
+    # -
+    @property
+    def u(self):
+        """
+        Sets the x components of the vector field.
+    
+        The 'u' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["u"]
+
+    @u.setter
+    def u(self, val):
+        self["u"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # usrc
+    # ----
+    @property
+    def usrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  u .
+    
+        The 'usrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["usrc"]
+
+    @usrc.setter
+    def usrc(self, val):
+        self["usrc"] = val
+
+    # v
+    # -
+    @property
+    def v(self):
+        """
+        Sets the y components of the vector field.
+    
+        The 'v' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["v"]
+
+    @v.setter
+    def v(self, val):
+        self["v"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # vsrc
+    # ----
+    @property
+    def vsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  v .
+    
+        The 'vsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["vsrc"]
+
+    @vsrc.setter
+    def vsrc(self, val):
+        self["vsrc"] = val
+
+    # w
+    # -
+    @property
+    def w(self):
+        """
+        Sets the z components of the vector field.
+    
+        The 'w' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["w"]
+
+    @w.setter
+    def w(self, val):
+        self["w"] = val
+
+    # wsrc
+    # ----
+    @property
+    def wsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  w .
+    
+        The 'wsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["wsrc"]
+
+    @wsrc.setter
+    def wsrc(self, val):
+        self["wsrc"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates of the vector field.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates of the vector field.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z coordinates of the vector field.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here u/v/w norm) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as u/v/w norm. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.streamtube.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.streamtube.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `tubex`, `tubey`, `tubez`,
+            `tubeu`, `tubev`, `tubew`, `norm` and `divergence`.
+            Anything contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.streamtube.Lighting`
+            instance or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.streamtube.Lightposition`
+            instance or dict with compatible properties
+        maxdisplayed
+            The maximum number of displayed segments in a
+            streamtube.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        sizeref
+            The scaling factor for the streamtubes. The default is
+            1, which avoids two max divergence tubes from touching
+            at adjacent starting positions.
+        starts
+            :class:`plotly.graph_objects.streamtube.Starts`
+            instance or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.streamtube.Stream`
+            instance or dict with compatible properties
+        text
+            Sets a text element associated with this trace. If
+            trace `hoverinfo` contains a "text" flag, this text
+            element will be seen in all hover labels. Note that
+            streamtube traces do not support array `text` values.
+        u
+            Sets the x components of the vector field.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        usrc
+            Sets the source reference on Chart Studio Cloud for  u
+            .
+        v
+            Sets the y components of the vector field.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        vsrc
+            Sets the source reference on Chart Studio Cloud for  v
+            .
+        w
+            Sets the z components of the vector field.
+        wsrc
+            Sets the source reference on Chart Studio Cloud for  w
+            .
+        x
+            Sets the x coordinates of the vector field.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates of the vector field.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates of the vector field.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        customdata=None,
+        customdatasrc=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        lighting=None,
+        lightposition=None,
+        maxdisplayed=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        reversescale=None,
+        scene=None,
+        showlegend=None,
+        showscale=None,
+        sizeref=None,
+        starts=None,
+        stream=None,
+        text=None,
+        u=None,
+        uid=None,
+        uirevision=None,
+        usrc=None,
+        v=None,
+        visible=None,
+        vsrc=None,
+        w=None,
+        wsrc=None,
+        x=None,
+        xsrc=None,
+        y=None,
+        ysrc=None,
+        z=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Streamtube object
+        
+        Use a streamtube trace to visualize flow in a vector field.
+        Specify a vector field using 6 1D arrays of equal length, 3
+        position arrays `x`, `y` and `z` and 3 vector component arrays
+        `u`, `v`, and `w`.  By default, the tubes' starting positions
+        will be cut from the vector field's x-z plane at its minimum y
+        value. To specify your own starting position, use attributes
+        `starts.x`, `starts.y` and `starts.z`. The color is encoded by
+        the norm of (u, v, w), and the local radius by the divergence
+        of (u, v, w).
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Streamtube`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here u/v/w norm) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as u/v/w norm. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as u/v/w norm and if set, `cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.streamtube.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.streamtube.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `tubex`, `tubey`, `tubez`,
+            `tubeu`, `tubev`, `tubew`, `norm` and `divergence`.
+            Anything contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.streamtube.Lighting`
+            instance or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.streamtube.Lightposition`
+            instance or dict with compatible properties
+        maxdisplayed
+            The maximum number of displayed segments in a
+            streamtube.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        sizeref
+            The scaling factor for the streamtubes. The default is
+            1, which avoids two max divergence tubes from touching
+            at adjacent starting positions.
+        starts
+            :class:`plotly.graph_objects.streamtube.Starts`
+            instance or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.streamtube.Stream`
+            instance or dict with compatible properties
+        text
+            Sets a text element associated with this trace. If
+            trace `hoverinfo` contains a "text" flag, this text
+            element will be seen in all hover labels. Note that
+            streamtube traces do not support array `text` values.
+        u
+            Sets the x components of the vector field.
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        usrc
+            Sets the source reference on Chart Studio Cloud for  u
+            .
+        v
+            Sets the y components of the vector field.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        vsrc
+            Sets the source reference on Chart Studio Cloud for  v
+            .
+        w
+            Sets the z components of the vector field.
+        wsrc
+            Sets the source reference on Chart Studio Cloud for  w
+            .
+        x
+            Sets the x coordinates of the vector field.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates of the vector field.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates of the vector field.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Streamtube
+        """
+        super(Streamtube, self).__init__("streamtube")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Streamtube 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Streamtube`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lighting", None)
+        _v = lighting if lighting is not None else _v
+        if _v is not None:
+            self["lighting"] = _v
+        _v = arg.pop("lightposition", None)
+        _v = lightposition if lightposition is not None else _v
+        if _v is not None:
+            self["lightposition"] = _v
+        _v = arg.pop("maxdisplayed", None)
+        _v = maxdisplayed if maxdisplayed is not None else _v
+        if _v is not None:
+            self["maxdisplayed"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("starts", None)
+        _v = starts if starts is not None else _v
+        if _v is not None:
+            self["starts"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("u", None)
+        _v = u if u is not None else _v
+        if _v is not None:
+            self["u"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("usrc", None)
+        _v = usrc if usrc is not None else _v
+        if _v is not None:
+            self["usrc"] = _v
+        _v = arg.pop("v", None)
+        _v = v if v is not None else _v
+        if _v is not None:
+            self["v"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("vsrc", None)
+        _v = vsrc if vsrc is not None else _v
+        if _v is not None:
+            self["vsrc"] = _v
+        _v = arg.pop("w", None)
+        _v = w if w is not None else _v
+        if _v is not None:
+            self["w"] = _v
+        _v = arg.pop("wsrc", None)
+        _v = wsrc if wsrc is not None else _v
+        if _v is not None:
+            self["wsrc"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "streamtube"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_sunburst.py b/packages/python/plotly/plotly/graph_objs/_sunburst.py
new file mode 100644
index 00000000000..da31247be8a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_sunburst.py
@@ -0,0 +1,2000 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Sunburst(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "sunburst"
+    _valid_props = {
+        "branchvalues",
+        "count",
+        "customdata",
+        "customdatasrc",
+        "domain",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "insidetextfont",
+        "insidetextorientation",
+        "labels",
+        "labelssrc",
+        "leaf",
+        "level",
+        "marker",
+        "maxdepth",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "outsidetextfont",
+        "parents",
+        "parentssrc",
+        "stream",
+        "text",
+        "textfont",
+        "textinfo",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "type",
+        "uid",
+        "uirevision",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # branchvalues
+    # ------------
+    @property
+    def branchvalues(self):
+        """
+        Determines how the items in `values` are summed. When set to
+        "total", items in `values` are taken to be value of all its
+        descendants. When set to "remainder", items in `values`
+        corresponding to the root and the branches sectors are taken to
+        be the extra part not part of the sum of the values at their
+        leaves.
+    
+        The 'branchvalues' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['remainder', 'total']
+
+        Returns
+        -------
+        Any
+        """
+        return self["branchvalues"]
+
+    @branchvalues.setter
+    def branchvalues(self, val):
+        self["branchvalues"] = val
+
+    # count
+    # -----
+    @property
+    def count(self):
+        """
+        Determines default for `values` when it is not provided, by
+        inferring a 1 for each of the "leaves" and/or "branches",
+        otherwise 0.
+    
+        The 'count' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['branches', 'leaves'] joined with '+' characters
+            (e.g. 'branches+leaves')
+
+        Returns
+        -------
+        Any
+        """
+        return self["count"]
+
+    @count.setter
+    def count(self, val):
+        self["count"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this sunburst trace
+                    .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this sunburst trace .
+                x
+                    Sets the horizontal domain of this sunburst
+                    trace (in plot fraction).
+                y
+                    Sets the vertical domain of this sunburst trace
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'name', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `currentPath`, `root`, `entry`, `percentRoot`,
+        `percentEntry` and `percentParent`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each sector. If a
+        single string, the same string appears for all data points. If
+        an array of string, the items are mapped in order of this
+        trace's sectors. To be seen, trace `hoverinfo` must contain a
+        "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying inside the sector.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # insidetextorientation
+    # ---------------------
+    @property
+    def insidetextorientation(self):
+        """
+        Controls the orientation of the text inside chart sectors. When
+        set to "auto", text may be oriented in any direction in order
+        to be as big as possible in the middle of a sector. The
+        "horizontal" option orients text to be parallel with the bottom
+        of the chart, and may make text smaller in order to achieve
+        that goal. The "radial" option orients text along the radius of
+        the sector. The "tangential" option orients text perpendicular
+        to the radius of the sector.
+    
+        The 'insidetextorientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['horizontal', 'radial', 'tangential', 'auto']
+
+        Returns
+        -------
+        Any
+        """
+        return self["insidetextorientation"]
+
+    @insidetextorientation.setter
+    def insidetextorientation(self, val):
+        self["insidetextorientation"] = val
+
+    # labels
+    # ------
+    @property
+    def labels(self):
+        """
+        Sets the labels of each of the sectors.
+    
+        The 'labels' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["labels"]
+
+    @labels.setter
+    def labels(self, val):
+        self["labels"] = val
+
+    # labelssrc
+    # ---------
+    @property
+    def labelssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  labels .
+    
+        The 'labelssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["labelssrc"]
+
+    @labelssrc.setter
+    def labelssrc(self, val):
+        self["labelssrc"] = val
+
+    # leaf
+    # ----
+    @property
+    def leaf(self):
+        """
+        The 'leaf' property is an instance of Leaf
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Leaf`
+          - A dict of string/value properties that will be passed
+            to the Leaf constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the opacity of the leaves. With colorscale
+                    it is defaulted to 1; otherwise it is defaulted
+                    to 0.7
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Leaf
+        """
+        return self["leaf"]
+
+    @leaf.setter
+    def leaf(self, val):
+        self["leaf"] = val
+
+    # level
+    # -----
+    @property
+    def level(self):
+        """
+        Sets the level from which this trace hierarchy is rendered. Set
+        `level` to `''` to start from the root node in the hierarchy.
+        Must be an "id" if `ids` is filled in, otherwise plotly
+        attempts to find a matching item in `labels`.
+    
+        The 'level' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["level"]
+
+    @level.setter
+    def level(self, val):
+        self["level"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if colorsis set to a numerical
+                    array. In case `colorscale` is unspecified or
+                    `autocolorscale` is true, the default  palette
+                    will be chosen according to whether numbers in
+                    the `color` array are all positive, all
+                    negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    colors) or the bounds set in `marker.cmin` and
+                    `marker.cmax`  Has an effect only if colorsis
+                    set to a numerical array. Defaults to `false`
+                    when `marker.cmin` and `marker.cmax` are set by
+                    the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if colorsis set to a numerical
+                    array. Value should have the same units as
+                    colors and if set, `marker.cmin` must be set as
+                    well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if colorsis set to a numerical array.
+                    Value should have the same units as colors. Has
+                    no effect when `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if colorsis set to a numerical
+                    array. Value should have the same units as
+                    colors and if set, `marker.cmax` must be set as
+                    well.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.sunburst.marker.Co
+                    lorBar` instance or dict with compatible
+                    properties
+                colors
+                    Sets the color of each sector of this trace. If
+                    not specified, the default trace color set is
+                    used to pick the sector colors.
+                colorscale
+                    Sets the colorscale. Has an effect only if
+                    colorsis set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  colors .
+                line
+                    :class:`plotly.graph_objects.sunburst.marker.Li
+                    ne` instance or dict with compatible properties
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if colorsis set to a numerical
+                    array. If true, `marker.cmin` will correspond
+                    to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    colorsis set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # maxdepth
+    # --------
+    @property
+    def maxdepth(self):
+        """
+        Sets the number of rendered sectors from any given `level`. Set
+        `maxdepth` to "-1" to render all the levels in the hierarchy.
+    
+        The 'maxdepth' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+
+        Returns
+        -------
+        int
+        """
+        return self["maxdepth"]
+
+    @maxdepth.setter
+    def maxdepth(self, val):
+        self["maxdepth"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # outsidetextfont
+    # ---------------
+    @property
+    def outsidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying outside the sector.
+        This option refers to the root of the hierarchy presented at
+        the center of a sunburst graph. Please note that if a hierarchy
+        has multiple root nodes, this option won't have any effect and
+        `insidetextfont` would be used.
+    
+        The 'outsidetextfont' property is an instance of Outsidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Outsidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Outsidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Outsidetextfont
+        """
+        return self["outsidetextfont"]
+
+    @outsidetextfont.setter
+    def outsidetextfont(self, val):
+        self["outsidetextfont"] = val
+
+    # parents
+    # -------
+    @property
+    def parents(self):
+        """
+        Sets the parent sectors for each of the sectors. Empty string
+        items '' are understood to reference the root node in the
+        hierarchy. If `ids` is filled, `parents` items are understood
+        to be "ids" themselves. When `ids` is not set, plotly attempts
+        to find matching items in `labels`, but beware they must be
+        unique.
+    
+        The 'parents' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["parents"]
+
+    @parents.setter
+    def parents(self, val):
+        self["parents"] = val
+
+    # parentssrc
+    # ----------
+    @property
+    def parentssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  parents .
+    
+        The 'parentssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["parentssrc"]
+
+    @parentssrc.setter
+    def parentssrc(self, val):
+        self["parentssrc"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each sector. If trace
+        `textinfo` contains a "text" flag, these elements will be seen
+        on the chart. If trace `hoverinfo` contains a "text" flag and
+        "hovertext" is not set, these elements will be seen in the
+        hover labels.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `textinfo`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textinfo
+    # --------
+    @property
+    def textinfo(self):
+        """
+        Determines which trace information appear on the graph.
+    
+        The 'textinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["textinfo"]
+
+    @textinfo.setter
+    def textinfo(self, val):
+        self["textinfo"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `currentPath`, `root`, `entry`,
+        `percentRoot`, `percentEntry`, `percentParent`, `label` and
+        `value`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the values associated with each of the sectors. Use with
+        `branchvalues` to determine how the values are summed.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        branchvalues
+            Determines how the items in `values` are summed. When
+            set to "total", items in `values` are taken to be value
+            of all its descendants. When set to "remainder", items
+            in `values` corresponding to the root and the branches
+            sectors are taken to be the extra part not part of the
+            sum of the values at their leaves.
+        count
+            Determines default for `values` when it is not
+            provided, by inferring a 1 for each of the "leaves"
+            and/or "branches", otherwise 0.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.sunburst.Domain` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.sunburst.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `currentPath`, `root`,
+            `entry`, `percentRoot`, `percentEntry` and
+            `percentParent`. Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        insidetextorientation
+            Controls the orientation of the text inside chart
+            sectors. When set to "auto", text may be oriented in
+            any direction in order to be as big as possible in the
+            middle of a sector. The "horizontal" option orients
+            text to be parallel with the bottom of the chart, and
+            may make text smaller in order to achieve that goal.
+            The "radial" option orients text along the radius of
+            the sector. The "tangential" option orients text
+            perpendicular to the radius of the sector.
+        labels
+            Sets the labels of each of the sectors.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        leaf
+            :class:`plotly.graph_objects.sunburst.Leaf` instance or
+            dict with compatible properties
+        level
+            Sets the level from which this trace hierarchy is
+            rendered. Set `level` to `''` to start from the root
+            node in the hierarchy. Must be an "id" if `ids` is
+            filled in, otherwise plotly attempts to find a matching
+            item in `labels`.
+        marker
+            :class:`plotly.graph_objects.sunburst.Marker` instance
+            or dict with compatible properties
+        maxdepth
+            Sets the number of rendered sectors from any given
+            `level`. Set `maxdepth` to "-1" to render all the
+            levels in the hierarchy.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        outsidetextfont
+            Sets the font used for `textinfo` lying outside the
+            sector. This option refers to the root of the hierarchy
+            presented at the center of a sunburst graph. Please
+            note that if a hierarchy has multiple root nodes, this
+            option won't have any effect and `insidetextfont` would
+            be used.
+        parents
+            Sets the parent sectors for each of the sectors. Empty
+            string items '' are understood to reference the root
+            node in the hierarchy. If `ids` is filled, `parents`
+            items are understood to be "ids" themselves. When `ids`
+            is not set, plotly attempts to find matching items in
+            `labels`, but beware they must be unique.
+        parentssrc
+            Sets the source reference on Chart Studio Cloud for
+            parents .
+        stream
+            :class:`plotly.graph_objects.sunburst.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables
+            `currentPath`, `root`, `entry`, `percentRoot`,
+            `percentEntry`, `percentParent`, `label` and `value`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values associated with each of the sectors.
+            Use with `branchvalues` to determine how the values are
+            summed.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        branchvalues=None,
+        count=None,
+        customdata=None,
+        customdatasrc=None,
+        domain=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        insidetextfont=None,
+        insidetextorientation=None,
+        labels=None,
+        labelssrc=None,
+        leaf=None,
+        level=None,
+        marker=None,
+        maxdepth=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        outsidetextfont=None,
+        parents=None,
+        parentssrc=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textinfo=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        uid=None,
+        uirevision=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Sunburst object
+        
+        Visualize hierarchal data spanning outward radially from root
+        to leaves. The sunburst sectors are determined by the entries
+        in "labels" or "ids" and in "parents".
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Sunburst`
+        branchvalues
+            Determines how the items in `values` are summed. When
+            set to "total", items in `values` are taken to be value
+            of all its descendants. When set to "remainder", items
+            in `values` corresponding to the root and the branches
+            sectors are taken to be the extra part not part of the
+            sum of the values at their leaves.
+        count
+            Determines default for `values` when it is not
+            provided, by inferring a 1 for each of the "leaves"
+            and/or "branches", otherwise 0.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.sunburst.Domain` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.sunburst.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `currentPath`, `root`,
+            `entry`, `percentRoot`, `percentEntry` and
+            `percentParent`. Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        insidetextorientation
+            Controls the orientation of the text inside chart
+            sectors. When set to "auto", text may be oriented in
+            any direction in order to be as big as possible in the
+            middle of a sector. The "horizontal" option orients
+            text to be parallel with the bottom of the chart, and
+            may make text smaller in order to achieve that goal.
+            The "radial" option orients text along the radius of
+            the sector. The "tangential" option orients text
+            perpendicular to the radius of the sector.
+        labels
+            Sets the labels of each of the sectors.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        leaf
+            :class:`plotly.graph_objects.sunburst.Leaf` instance or
+            dict with compatible properties
+        level
+            Sets the level from which this trace hierarchy is
+            rendered. Set `level` to `''` to start from the root
+            node in the hierarchy. Must be an "id" if `ids` is
+            filled in, otherwise plotly attempts to find a matching
+            item in `labels`.
+        marker
+            :class:`plotly.graph_objects.sunburst.Marker` instance
+            or dict with compatible properties
+        maxdepth
+            Sets the number of rendered sectors from any given
+            `level`. Set `maxdepth` to "-1" to render all the
+            levels in the hierarchy.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        outsidetextfont
+            Sets the font used for `textinfo` lying outside the
+            sector. This option refers to the root of the hierarchy
+            presented at the center of a sunburst graph. Please
+            note that if a hierarchy has multiple root nodes, this
+            option won't have any effect and `insidetextfont` would
+            be used.
+        parents
+            Sets the parent sectors for each of the sectors. Empty
+            string items '' are understood to reference the root
+            node in the hierarchy. If `ids` is filled, `parents`
+            items are understood to be "ids" themselves. When `ids`
+            is not set, plotly attempts to find matching items in
+            `labels`, but beware they must be unique.
+        parentssrc
+            Sets the source reference on Chart Studio Cloud for
+            parents .
+        stream
+            :class:`plotly.graph_objects.sunburst.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables
+            `currentPath`, `root`, `entry`, `percentRoot`,
+            `percentEntry`, `percentParent`, `label` and `value`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values associated with each of the sectors.
+            Use with `branchvalues` to determine how the values are
+            summed.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Sunburst
+        """
+        super(Sunburst, self).__init__("sunburst")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Sunburst 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Sunburst`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("branchvalues", None)
+        _v = branchvalues if branchvalues is not None else _v
+        if _v is not None:
+            self["branchvalues"] = _v
+        _v = arg.pop("count", None)
+        _v = count if count is not None else _v
+        if _v is not None:
+            self["count"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("insidetextorientation", None)
+        _v = insidetextorientation if insidetextorientation is not None else _v
+        if _v is not None:
+            self["insidetextorientation"] = _v
+        _v = arg.pop("labels", None)
+        _v = labels if labels is not None else _v
+        if _v is not None:
+            self["labels"] = _v
+        _v = arg.pop("labelssrc", None)
+        _v = labelssrc if labelssrc is not None else _v
+        if _v is not None:
+            self["labelssrc"] = _v
+        _v = arg.pop("leaf", None)
+        _v = leaf if leaf is not None else _v
+        if _v is not None:
+            self["leaf"] = _v
+        _v = arg.pop("level", None)
+        _v = level if level is not None else _v
+        if _v is not None:
+            self["level"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("maxdepth", None)
+        _v = maxdepth if maxdepth is not None else _v
+        if _v is not None:
+            self["maxdepth"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("outsidetextfont", None)
+        _v = outsidetextfont if outsidetextfont is not None else _v
+        if _v is not None:
+            self["outsidetextfont"] = _v
+        _v = arg.pop("parents", None)
+        _v = parents if parents is not None else _v
+        if _v is not None:
+            self["parents"] = _v
+        _v = arg.pop("parentssrc", None)
+        _v = parentssrc if parentssrc is not None else _v
+        if _v is not None:
+            self["parentssrc"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textinfo", None)
+        _v = textinfo if textinfo is not None else _v
+        if _v is not None:
+            self["textinfo"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "sunburst"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_surface.py b/packages/python/plotly/plotly/graph_objs/_surface.py
new file mode 100644
index 00000000000..b814984a082
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_surface.py
@@ -0,0 +1,2391 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Surface(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "surface"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "connectgaps",
+        "contours",
+        "customdata",
+        "customdatasrc",
+        "hidesurface",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "legendgroup",
+        "lighting",
+        "lightposition",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "opacityscale",
+        "reversescale",
+        "scene",
+        "showlegend",
+        "showscale",
+        "stream",
+        "surfacecolor",
+        "surfacecolorsrc",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "x",
+        "xcalendar",
+        "xsrc",
+        "y",
+        "ycalendar",
+        "ysrc",
+        "z",
+        "zcalendar",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here z or surfacecolor) or the
+        bounds set in `cmin` and `cmax`  Defaults to `false` when
+        `cmin` and `cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as z or surfacecolor and if set, `cmin` must be set
+        as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as z or surfacecolor. Has no effect when `cauto` is
+        `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as z or surfacecolor and if set, `cmax` must be set
+        as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.surface
+                    .colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.surface.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of surface.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.surface.colorbar.T
+                    itle` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    surface.colorbar.title.font instead. Sets this
+                    color bar's title font. Note that the title's
+                    font used to be set by the now deprecated
+                    `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    surface.colorbar.title.side instead. Determines
+                    the location of color bar's title with respect
+                    to the color bar. Note that the title's
+                    location used to be set by the now deprecated
+                    `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # connectgaps
+    # -----------
+    @property
+    def connectgaps(self):
+        """
+        Determines whether or not gaps (i.e. {nan} or missing values)
+        in the `z` data are filled in.
+    
+        The 'connectgaps' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["connectgaps"]
+
+    @connectgaps.setter
+    def connectgaps(self, val):
+        self["connectgaps"] = val
+
+    # contours
+    # --------
+    @property
+    def contours(self):
+        """
+        The 'contours' property is an instance of Contours
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.Contours`
+          - A dict of string/value properties that will be passed
+            to the Contours constructor
+    
+            Supported dict properties:
+                
+                x
+                    :class:`plotly.graph_objects.surface.contours.X
+                    ` instance or dict with compatible properties
+                y
+                    :class:`plotly.graph_objects.surface.contours.Y
+                    ` instance or dict with compatible properties
+                z
+                    :class:`plotly.graph_objects.surface.contours.Z
+                    ` instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.surface.Contours
+        """
+        return self["contours"]
+
+    @contours.setter
+    def contours(self, val):
+        self["contours"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hidesurface
+    # -----------
+    @property
+    def hidesurface(self):
+        """
+        Determines whether or not a surface is drawn. For example, set
+        `hidesurface` to False `contours.x.show` to True and
+        `contours.y.show` to True to draw a wire frame plot.
+    
+        The 'hidesurface' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["hidesurface"]
+
+    @hidesurface.setter
+    def hidesurface(self, val):
+        self["hidesurface"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.surface.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lighting
+    # --------
+    @property
+    def lighting(self):
+        """
+        The 'lighting' property is an instance of Lighting
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.Lighting`
+          - A dict of string/value properties that will be passed
+            to the Lighting constructor
+    
+            Supported dict properties:
+                
+                ambient
+                    Ambient light increases overall color
+                    visibility but can wash out the image.
+                diffuse
+                    Represents the extent that incident rays are
+                    reflected in a range of angles.
+                fresnel
+                    Represents the reflectance as a dependency of
+                    the viewing angle; e.g. paper is reflective
+                    when viewing it from the edge of the paper
+                    (almost 90 degrees), causing shine.
+                roughness
+                    Alters specular reflection; the rougher the
+                    surface, the wider and less contrasty the
+                    shine.
+                specular
+                    Represents the level that incident rays are
+                    reflected in a single direction, causing shine.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.Lighting
+        """
+        return self["lighting"]
+
+    @lighting.setter
+    def lighting(self, val):
+        self["lighting"] = val
+
+    # lightposition
+    # -------------
+    @property
+    def lightposition(self):
+        """
+        The 'lightposition' property is an instance of Lightposition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.Lightposition`
+          - A dict of string/value properties that will be passed
+            to the Lightposition constructor
+    
+            Supported dict properties:
+                
+                x
+                    Numeric vector, representing the X coordinate
+                    for each vertex.
+                y
+                    Numeric vector, representing the Y coordinate
+                    for each vertex.
+                z
+                    Numeric vector, representing the Z coordinate
+                    for each vertex.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.Lightposition
+        """
+        return self["lightposition"]
+
+    @lightposition.setter
+    def lightposition(self, val):
+        self["lightposition"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the surface. Please note that in the case
+        of using high `opacity` values for example a value greater than
+        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
+        an overlay of multiple transparent surfaces may not perfectly
+        be sorted in depth by the webgl API. This behavior may be
+        improved in the near future and is subject to change.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacityscale
+    # ------------
+    @property
+    def opacityscale(self):
+        """
+        Sets the opacityscale. The opacityscale must be an array
+        containing arrays mapping a normalized value to an opacity
+        value. At minimum, a mapping for the lowest (0) and highest (1)
+        values are required. For example, `[[0, 1], [0.5, 0.2], [1,
+        1]]` means that higher/lower values would have higher opacity
+        values and those in the middle would be more transparent
+        Alternatively, `opacityscale` may be a palette name string of
+        the following list: 'min', 'max', 'extremes' and 'uniform'. The
+        default is 'uniform'.
+    
+        The 'opacityscale' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["opacityscale"]
+
+    @opacityscale.setter
+    def opacityscale(self, val):
+        self["opacityscale"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # surfacecolor
+    # ------------
+    @property
+    def surfacecolor(self):
+        """
+        Sets the surface color values, used for setting a color scale
+        independent of `z`.
+    
+        The 'surfacecolor' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["surfacecolor"]
+
+    @surfacecolor.setter
+    def surfacecolor(self, val):
+        self["surfacecolor"] = val
+
+    # surfacecolorsrc
+    # ---------------
+    @property
+    def surfacecolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        surfacecolor .
+    
+        The 'surfacecolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["surfacecolorsrc"]
+
+    @surfacecolorsrc.setter
+    def surfacecolorsrc(self, val):
+        self["surfacecolorsrc"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each z value. If trace
+        `hoverinfo` contains a "text" flag and "hovertext" is not set,
+        these elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xcalendar
+    # ---------
+    @property
+    def xcalendar(self):
+        """
+        Sets the calendar system to use with `x` date data.
+    
+        The 'xcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xcalendar"]
+
+    @xcalendar.setter
+    def xcalendar(self, val):
+        self["xcalendar"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ycalendar
+    # ---------
+    @property
+    def ycalendar(self):
+        """
+        Sets the calendar system to use with `y` date data.
+    
+        The 'ycalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ycalendar"]
+
+    @ycalendar.setter
+    def ycalendar(self, val):
+        self["ycalendar"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z coordinates.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zcalendar
+    # ---------
+    @property
+    def zcalendar(self):
+        """
+        Sets the calendar system to use with `z` date data.
+    
+        The 'zcalendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["zcalendar"]
+
+    @zcalendar.setter
+    def zcalendar(self, val):
+        self["zcalendar"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here z or surfacecolor)
+            or the bounds set in `cmin` and `cmax`  Defaults to
+            `false` when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as z or surfacecolor and if set,
+            `cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as z or surfacecolor.
+            Has no effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as z or surfacecolor and if set,
+            `cmax` must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.surface.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data are filled in.
+        contours
+            :class:`plotly.graph_objects.surface.Contours` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hidesurface
+            Determines whether or not a surface is drawn. For
+            example, set `hidesurface` to False `contours.x.show`
+            to True and `contours.y.show` to True to draw a wire
+            frame plot.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.surface.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.surface.Lighting` instance
+            or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.surface.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        opacityscale
+            Sets the opacityscale. The opacityscale must be an
+            array containing arrays mapping a normalized value to
+            an opacity value. At minimum, a mapping for the lowest
+            (0) and highest (1) values are required. For example,
+            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
+            values would have higher opacity values and those in
+            the middle would be more transparent Alternatively,
+            `opacityscale` may be a palette name string of the
+            following list: 'min', 'max', 'extremes' and 'uniform'.
+            The default is 'uniform'.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.surface.Stream` instance
+            or dict with compatible properties
+        surfacecolor
+            Sets the surface color values, used for setting a color
+            scale independent of `z`.
+        surfacecolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            surfacecolor .
+        text
+            Sets the text elements associated with each z value. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates.
+        zcalendar
+            Sets the calendar system to use with `z` date data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        connectgaps=None,
+        contours=None,
+        customdata=None,
+        customdatasrc=None,
+        hidesurface=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        legendgroup=None,
+        lighting=None,
+        lightposition=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        opacityscale=None,
+        reversescale=None,
+        scene=None,
+        showlegend=None,
+        showscale=None,
+        stream=None,
+        surfacecolor=None,
+        surfacecolorsrc=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        x=None,
+        xcalendar=None,
+        xsrc=None,
+        y=None,
+        ycalendar=None,
+        ysrc=None,
+        z=None,
+        zcalendar=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Surface object
+        
+        The data the describes the coordinates of the surface is set in
+        `z`. Data in `z` should be a 2D list. Coordinates in `x` and
+        `y` can either be 1D lists or 2D lists (e.g. to graph
+        parametric surfaces). If not provided in `x` and `y`, the x and
+        y coordinates are assumed to be linear starting at 0 with a
+        unit step. The color scale corresponds to the `z` values by
+        default. For custom color scales, use `surfacecolor` which
+        should be a 2D list, where its bounds can be controlled using
+        `cmin` and `cmax`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Surface`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here z or surfacecolor)
+            or the bounds set in `cmin` and `cmax`  Defaults to
+            `false` when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as z or surfacecolor and if set,
+            `cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as z or surfacecolor.
+            Has no effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as z or surfacecolor and if set,
+            `cmax` must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.surface.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        connectgaps
+            Determines whether or not gaps (i.e. {nan} or missing
+            values) in the `z` data are filled in.
+        contours
+            :class:`plotly.graph_objects.surface.Contours` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hidesurface
+            Determines whether or not a surface is drawn. For
+            example, set `hidesurface` to False `contours.x.show`
+            to True and `contours.y.show` to True to draw a wire
+            frame plot.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.surface.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.surface.Lighting` instance
+            or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.surface.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        opacityscale
+            Sets the opacityscale. The opacityscale must be an
+            array containing arrays mapping a normalized value to
+            an opacity value. At minimum, a mapping for the lowest
+            (0) and highest (1) values are required. For example,
+            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
+            values would have higher opacity values and those in
+            the middle would be more transparent Alternatively,
+            `opacityscale` may be a palette name string of the
+            following list: 'min', 'max', 'extremes' and 'uniform'.
+            The default is 'uniform'.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        stream
+            :class:`plotly.graph_objects.surface.Stream` instance
+            or dict with compatible properties
+        surfacecolor
+            Sets the surface color values, used for setting a color
+            scale independent of `z`.
+        surfacecolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            surfacecolor .
+        text
+            Sets the text elements associated with each z value. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the x coordinates.
+        xcalendar
+            Sets the calendar system to use with `x` date data.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        ycalendar
+            Sets the calendar system to use with `y` date data.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z coordinates.
+        zcalendar
+            Sets the calendar system to use with `z` date data.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Surface
+        """
+        super(Surface, self).__init__("surface")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Surface 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Surface`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("connectgaps", None)
+        _v = connectgaps if connectgaps is not None else _v
+        if _v is not None:
+            self["connectgaps"] = _v
+        _v = arg.pop("contours", None)
+        _v = contours if contours is not None else _v
+        if _v is not None:
+            self["contours"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hidesurface", None)
+        _v = hidesurface if hidesurface is not None else _v
+        if _v is not None:
+            self["hidesurface"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lighting", None)
+        _v = lighting if lighting is not None else _v
+        if _v is not None:
+            self["lighting"] = _v
+        _v = arg.pop("lightposition", None)
+        _v = lightposition if lightposition is not None else _v
+        if _v is not None:
+            self["lightposition"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacityscale", None)
+        _v = opacityscale if opacityscale is not None else _v
+        if _v is not None:
+            self["opacityscale"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("surfacecolor", None)
+        _v = surfacecolor if surfacecolor is not None else _v
+        if _v is not None:
+            self["surfacecolor"] = _v
+        _v = arg.pop("surfacecolorsrc", None)
+        _v = surfacecolorsrc if surfacecolorsrc is not None else _v
+        if _v is not None:
+            self["surfacecolorsrc"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xcalendar", None)
+        _v = xcalendar if xcalendar is not None else _v
+        if _v is not None:
+            self["xcalendar"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ycalendar", None)
+        _v = ycalendar if ycalendar is not None else _v
+        if _v is not None:
+            self["ycalendar"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zcalendar", None)
+        _v = zcalendar if zcalendar is not None else _v
+        if _v is not None:
+            self["zcalendar"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "surface"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_table.py b/packages/python/plotly/plotly/graph_objs/_table.py
new file mode 100644
index 00000000000..1a9034186d5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_table.py
@@ -0,0 +1,1059 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Table(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "table"
+    _valid_props = {
+        "cells",
+        "columnorder",
+        "columnordersrc",
+        "columnwidth",
+        "columnwidthsrc",
+        "customdata",
+        "customdatasrc",
+        "domain",
+        "header",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "ids",
+        "idssrc",
+        "meta",
+        "metasrc",
+        "name",
+        "stream",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+    }
+
+    # cells
+    # -----
+    @property
+    def cells(self):
+        """
+        The 'cells' property is an instance of Cells
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.Cells`
+          - A dict of string/value properties that will be passed
+            to the Cells constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the `text`
+                    within the box. Has an effect only if `text`
+                    spans two or more lines (i.e. `text` contains
+                    one or more <br> HTML tags) or if an explicit
+                    width is set to override the text width.
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                fill
+                    :class:`plotly.graph_objects.table.cells.Fill`
+                    instance or dict with compatible properties
+                font
+                    :class:`plotly.graph_objects.table.cells.Font`
+                    instance or dict with compatible properties
+                format
+                    Sets the cell value formatting rule using d3
+                    formatting mini-language which is similar to
+                    those of Python. See
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                formatsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  format .
+                height
+                    The height of cells.
+                line
+                    :class:`plotly.graph_objects.table.cells.Line`
+                    instance or dict with compatible properties
+                prefix
+                    Prefix for cell values.
+                prefixsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  prefix .
+                suffix
+                    Suffix for cell values.
+                suffixsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  suffix .
+                values
+                    Cell values. `values[m][n]` represents the
+                    value of the `n`th point in column `m`,
+                    therefore the `values[m]` vector length for all
+                    columns must be the same (longer vectors will
+                    be truncated). Each value must be a finite
+                    number or a string.
+                valuessrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  values .
+
+        Returns
+        -------
+        plotly.graph_objs.table.Cells
+        """
+        return self["cells"]
+
+    @cells.setter
+    def cells(self, val):
+        self["cells"] = val
+
+    # columnorder
+    # -----------
+    @property
+    def columnorder(self):
+        """
+        Specifies the rendered order of the data columns; for example,
+        a value `2` at position `0` means that column index `0` in the
+        data will be rendered as the third column, as columns have an
+        index base of zero.
+    
+        The 'columnorder' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["columnorder"]
+
+    @columnorder.setter
+    def columnorder(self, val):
+        self["columnorder"] = val
+
+    # columnordersrc
+    # --------------
+    @property
+    def columnordersrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        columnorder .
+    
+        The 'columnordersrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["columnordersrc"]
+
+    @columnordersrc.setter
+    def columnordersrc(self, val):
+        self["columnordersrc"] = val
+
+    # columnwidth
+    # -----------
+    @property
+    def columnwidth(self):
+        """
+        The width of columns expressed as a ratio. Columns fill the
+        available width in proportion of their specified column widths.
+    
+        The 'columnwidth' property is a number and may be specified as:
+          - An int or float
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["columnwidth"]
+
+    @columnwidth.setter
+    def columnwidth(self, val):
+        self["columnwidth"] = val
+
+    # columnwidthsrc
+    # --------------
+    @property
+    def columnwidthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        columnwidth .
+    
+        The 'columnwidthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["columnwidthsrc"]
+
+    @columnwidthsrc.setter
+    def columnwidthsrc(self, val):
+        self["columnwidthsrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this table trace .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this table trace .
+                x
+                    Sets the horizontal domain of this table trace
+                    (in plot fraction).
+                y
+                    Sets the vertical domain of this table trace
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.table.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # header
+    # ------
+    @property
+    def header(self):
+        """
+        The 'header' property is an instance of Header
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.Header`
+          - A dict of string/value properties that will be passed
+            to the Header constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the `text`
+                    within the box. Has an effect only if `text`
+                    spans two or more lines (i.e. `text` contains
+                    one or more <br> HTML tags) or if an explicit
+                    width is set to override the text width.
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                fill
+                    :class:`plotly.graph_objects.table.header.Fill`
+                    instance or dict with compatible properties
+                font
+                    :class:`plotly.graph_objects.table.header.Font`
+                    instance or dict with compatible properties
+                format
+                    Sets the cell value formatting rule using d3
+                    formatting mini-language which is similar to
+                    those of Python. See
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                formatsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  format .
+                height
+                    The height of cells.
+                line
+                    :class:`plotly.graph_objects.table.header.Line`
+                    instance or dict with compatible properties
+                prefix
+                    Prefix for cell values.
+                prefixsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  prefix .
+                suffix
+                    Suffix for cell values.
+                suffixsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  suffix .
+                values
+                    Header cell values. `values[m][n]` represents
+                    the value of the `n`th point in column `m`,
+                    therefore the `values[m]` vector length for all
+                    columns must be the same (longer vectors will
+                    be truncated). Each value must be a finite
+                    number or a string.
+                valuessrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  values .
+
+        Returns
+        -------
+        plotly.graph_objs.table.Header
+        """
+        return self["header"]
+
+    @header.setter
+    def header(self, val):
+        self["header"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.table.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.table.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        cells
+            :class:`plotly.graph_objects.table.Cells` instance or
+            dict with compatible properties
+        columnorder
+            Specifies the rendered order of the data columns; for
+            example, a value `2` at position `0` means that column
+            index `0` in the data will be rendered as the third
+            column, as columns have an index base of zero.
+        columnordersrc
+            Sets the source reference on Chart Studio Cloud for
+            columnorder .
+        columnwidth
+            The width of columns expressed as a ratio. Columns fill
+            the available width in proportion of their specified
+            column widths.
+        columnwidthsrc
+            Sets the source reference on Chart Studio Cloud for
+            columnwidth .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.table.Domain` instance or
+            dict with compatible properties
+        header
+            :class:`plotly.graph_objects.table.Header` instance or
+            dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.table.Hoverlabel` instance
+            or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        stream
+            :class:`plotly.graph_objects.table.Stream` instance or
+            dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        cells=None,
+        columnorder=None,
+        columnordersrc=None,
+        columnwidth=None,
+        columnwidthsrc=None,
+        customdata=None,
+        customdatasrc=None,
+        domain=None,
+        header=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        ids=None,
+        idssrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        stream=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Table object
+        
+        Table view for detailed data viewing. The data are arranged in
+        a grid of rows and columns. Most styling can be specified for
+        columns, rows or individual cells. Table is using a column-
+        major order, ie. the grid is represented as a vector of column
+        vectors.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Table`
+        cells
+            :class:`plotly.graph_objects.table.Cells` instance or
+            dict with compatible properties
+        columnorder
+            Specifies the rendered order of the data columns; for
+            example, a value `2` at position `0` means that column
+            index `0` in the data will be rendered as the third
+            column, as columns have an index base of zero.
+        columnordersrc
+            Sets the source reference on Chart Studio Cloud for
+            columnorder .
+        columnwidth
+            The width of columns expressed as a ratio. Columns fill
+            the available width in proportion of their specified
+            column widths.
+        columnwidthsrc
+            Sets the source reference on Chart Studio Cloud for
+            columnwidth .
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.table.Domain` instance or
+            dict with compatible properties
+        header
+            :class:`plotly.graph_objects.table.Header` instance or
+            dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.table.Hoverlabel` instance
+            or dict with compatible properties
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        stream
+            :class:`plotly.graph_objects.table.Stream` instance or
+            dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Table
+        """
+        super(Table, self).__init__("table")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Table 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Table`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("cells", None)
+        _v = cells if cells is not None else _v
+        if _v is not None:
+            self["cells"] = _v
+        _v = arg.pop("columnorder", None)
+        _v = columnorder if columnorder is not None else _v
+        if _v is not None:
+            self["columnorder"] = _v
+        _v = arg.pop("columnordersrc", None)
+        _v = columnordersrc if columnordersrc is not None else _v
+        if _v is not None:
+            self["columnordersrc"] = _v
+        _v = arg.pop("columnwidth", None)
+        _v = columnwidth if columnwidth is not None else _v
+        if _v is not None:
+            self["columnwidth"] = _v
+        _v = arg.pop("columnwidthsrc", None)
+        _v = columnwidthsrc if columnwidthsrc is not None else _v
+        if _v is not None:
+            self["columnwidthsrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("header", None)
+        _v = header if header is not None else _v
+        if _v is not None:
+            self["header"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "table"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_treemap.py b/packages/python/plotly/plotly/graph_objs/_treemap.py
new file mode 100644
index 00000000000..784a047eeef
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_treemap.py
@@ -0,0 +1,2067 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Treemap(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "treemap"
+    _valid_props = {
+        "branchvalues",
+        "count",
+        "customdata",
+        "customdatasrc",
+        "domain",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "insidetextfont",
+        "labels",
+        "labelssrc",
+        "level",
+        "marker",
+        "maxdepth",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "outsidetextfont",
+        "parents",
+        "parentssrc",
+        "pathbar",
+        "stream",
+        "text",
+        "textfont",
+        "textinfo",
+        "textposition",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "tiling",
+        "type",
+        "uid",
+        "uirevision",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # branchvalues
+    # ------------
+    @property
+    def branchvalues(self):
+        """
+        Determines how the items in `values` are summed. When set to
+        "total", items in `values` are taken to be value of all its
+        descendants. When set to "remainder", items in `values`
+        corresponding to the root and the branches sectors are taken to
+        be the extra part not part of the sum of the values at their
+        leaves.
+    
+        The 'branchvalues' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['remainder', 'total']
+
+        Returns
+        -------
+        Any
+        """
+        return self["branchvalues"]
+
+    @branchvalues.setter
+    def branchvalues(self, val):
+        self["branchvalues"] = val
+
+    # count
+    # -----
+    @property
+    def count(self):
+        """
+        Determines default for `values` when it is not provided, by
+        inferring a 1 for each of the "leaves" and/or "branches",
+        otherwise 0.
+    
+        The 'count' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['branches', 'leaves'] joined with '+' characters
+            (e.g. 'branches+leaves')
+
+        Returns
+        -------
+        Any
+        """
+        return self["count"]
+
+    @count.setter
+    def count(self, val):
+        self["count"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this treemap trace
+                    .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this treemap trace .
+                x
+                    Sets the horizontal domain of this treemap
+                    trace (in plot fraction).
+                y
+                    Sets the vertical domain of this treemap trace
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'name', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `currentPath`, `root`, `entry`, `percentRoot`,
+        `percentEntry` and `percentParent`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each sector. If a
+        single string, the same string appears for all data points. If
+        an array of string, the items are mapped in order of this
+        trace's sectors. To be seen, trace `hoverinfo` must contain a
+        "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying inside the sector.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # labels
+    # ------
+    @property
+    def labels(self):
+        """
+        Sets the labels of each of the sectors.
+    
+        The 'labels' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["labels"]
+
+    @labels.setter
+    def labels(self, val):
+        self["labels"] = val
+
+    # labelssrc
+    # ---------
+    @property
+    def labelssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  labels .
+    
+        The 'labelssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["labelssrc"]
+
+    @labelssrc.setter
+    def labelssrc(self, val):
+        self["labelssrc"] = val
+
+    # level
+    # -----
+    @property
+    def level(self):
+        """
+        Sets the level from which this trace hierarchy is rendered. Set
+        `level` to `''` to start from the root node in the hierarchy.
+        Must be an "id" if `ids` is filled in, otherwise plotly
+        attempts to find a matching item in `labels`.
+    
+        The 'level' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["level"]
+
+    @level.setter
+    def level(self, val):
+        self["level"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.colorscale`. Has an
+                    effect only if colorsis set to a numerical
+                    array. In case `colorscale` is unspecified or
+                    `autocolorscale` is true, the default  palette
+                    will be chosen according to whether numbers in
+                    the `color` array are all positive, all
+                    negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    colors) or the bounds set in `marker.cmin` and
+                    `marker.cmax`  Has an effect only if colorsis
+                    set to a numerical array. Defaults to `false`
+                    when `marker.cmin` and `marker.cmax` are set by
+                    the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if colorsis set to a numerical
+                    array. Value should have the same units as
+                    colors and if set, `marker.cmin` must be set as
+                    well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.cmin` and/or `marker.cmax` to
+                    be equidistant to this point. Has an effect
+                    only if colorsis set to a numerical array.
+                    Value should have the same units as colors. Has
+                    no effect when `marker.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if colorsis set to a numerical
+                    array. Value should have the same units as
+                    colors and if set, `marker.cmax` must be set as
+                    well.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorbar
+                    :class:`plotly.graph_objects.treemap.marker.Col
+                    orBar` instance or dict with compatible
+                    properties
+                colors
+                    Sets the color of each sector of this trace. If
+                    not specified, the default trace color set is
+                    used to pick the sector colors.
+                colorscale
+                    Sets the colorscale. Has an effect only if
+                    colorsis set to a numerical array. The
+                    colorscale must be an array containing arrays
+                    mapping a normalized value to an rgb, rgba,
+                    hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.cmin` and
+                    `marker.cmax`. Alternatively, `colorscale` may
+                    be a palette name string of the following list:
+                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                    arth,Electric,Viridis,Cividis.
+                colorssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  colors .
+                depthfade
+                    Determines if the sector colors are faded
+                    towards the background from the leaves up to
+                    the headers. This option is unavailable when a
+                    `colorscale` is present, defaults to false when
+                    `marker.colors` is set, but otherwise defaults
+                    to true. When set to "reversed", the fading
+                    direction is inverted, that is the top elements
+                    within hierarchy are drawn with fully saturated
+                    colors while the leaves are faded towards the
+                    background color.
+                line
+                    :class:`plotly.graph_objects.treemap.marker.Lin
+                    e` instance or dict with compatible properties
+                pad
+                    :class:`plotly.graph_objects.treemap.marker.Pad
+                    ` instance or dict with compatible properties
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if colorsis set to a numerical
+                    array. If true, `marker.cmin` will correspond
+                    to the last color in the array and
+                    `marker.cmax` will correspond to the first
+                    color.
+                showscale
+                    Determines whether or not a colorbar is
+                    displayed for this trace. Has an effect only if
+                    colorsis set to a numerical array.
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # maxdepth
+    # --------
+    @property
+    def maxdepth(self):
+        """
+        Sets the number of rendered sectors from any given `level`. Set
+        `maxdepth` to "-1" to render all the levels in the hierarchy.
+    
+        The 'maxdepth' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+
+        Returns
+        -------
+        int
+        """
+        return self["maxdepth"]
+
+    @maxdepth.setter
+    def maxdepth(self, val):
+        self["maxdepth"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # outsidetextfont
+    # ---------------
+    @property
+    def outsidetextfont(self):
+        """
+        Sets the font used for `textinfo` lying outside the sector.
+        This option refers to the root of the hierarchy presented on
+        top left corner of a treemap graph. Please note that if a
+        hierarchy has multiple root nodes, this option won't have any
+        effect and `insidetextfont` would be used.
+    
+        The 'outsidetextfont' property is an instance of Outsidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Outsidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Outsidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Outsidetextfont
+        """
+        return self["outsidetextfont"]
+
+    @outsidetextfont.setter
+    def outsidetextfont(self, val):
+        self["outsidetextfont"] = val
+
+    # parents
+    # -------
+    @property
+    def parents(self):
+        """
+        Sets the parent sectors for each of the sectors. Empty string
+        items '' are understood to reference the root node in the
+        hierarchy. If `ids` is filled, `parents` items are understood
+        to be "ids" themselves. When `ids` is not set, plotly attempts
+        to find matching items in `labels`, but beware they must be
+        unique.
+    
+        The 'parents' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["parents"]
+
+    @parents.setter
+    def parents(self, val):
+        self["parents"] = val
+
+    # parentssrc
+    # ----------
+    @property
+    def parentssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  parents .
+    
+        The 'parentssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["parentssrc"]
+
+    @parentssrc.setter
+    def parentssrc(self, val):
+        self["parentssrc"] = val
+
+    # pathbar
+    # -------
+    @property
+    def pathbar(self):
+        """
+        The 'pathbar' property is an instance of Pathbar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Pathbar`
+          - A dict of string/value properties that will be passed
+            to the Pathbar constructor
+    
+            Supported dict properties:
+                
+                edgeshape
+                    Determines which shape is used for edges
+                    between `barpath` labels.
+                side
+                    Determines on which side of the the treemap the
+                    `pathbar` should be presented.
+                textfont
+                    Sets the font used inside `pathbar`.
+                thickness
+                    Sets the thickness of `pathbar` (in px). If not
+                    specified the `pathbar.textfont.size` is used
+                    with 3 pixles extra padding on each side.
+                visible
+                    Determines if the path bar is drawn i.e.
+                    outside the trace `domain` and with one pixel
+                    gap.
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Pathbar
+        """
+        return self["pathbar"]
+
+    @pathbar.setter
+    def pathbar(self, val):
+        self["pathbar"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each sector. If trace
+        `textinfo` contains a "text" flag, these elements will be seen
+        on the chart. If trace `hoverinfo` contains a "text" flag and
+        "hovertext" is not set, these elements will be seen in the
+        hover labels.
+    
+        The 'text' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `textinfo`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textinfo
+    # --------
+    @property
+    def textinfo(self):
+        """
+        Determines which trace information appear on the graph.
+    
+        The 'textinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'value', 'current path', 'percent root', 'percent entry', 'percent parent'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["textinfo"]
+
+    @textinfo.setter
+    def textinfo(self, val):
+        self["textinfo"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `currentPath`, `root`, `entry`,
+        `percentRoot`, `percentEntry`, `percentParent`, `label` and
+        `value`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # tiling
+    # ------
+    @property
+    def tiling(self):
+        """
+        The 'tiling' property is an instance of Tiling
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.Tiling`
+          - A dict of string/value properties that will be passed
+            to the Tiling constructor
+    
+            Supported dict properties:
+                
+                flip
+                    Determines if the positions obtained from
+                    solver are flipped on each axis.
+                packing
+                    Determines d3 treemap solver. For more info
+                    please refer to
+                    https://github.com/d3/d3-hierarchy#treemap-
+                    tiling
+                pad
+                    Sets the inner padding (in px).
+                squarifyratio
+                    When using "squarify" `packing` algorithm,
+                    according to https://github.com/d3/d3-hierarchy
+                    /blob/master/README.md#squarify_ratio this
+                    option specifies the desired aspect ratio of
+                    the generated rectangles. The ratio must be
+                    specified as a number greater than or equal to
+                    one. Note that the orientation of the generated
+                    rectangles (tall or wide) is not implied by the
+                    ratio; for example, a ratio of two will attempt
+                    to produce a mixture of rectangles whose
+                    width:height ratio is either 2:1 or 1:2. When
+                    using "squarify", unlike d3 which uses the
+                    Golden Ratio i.e. 1.618034, Plotly applies 1 to
+                    increase squares in treemap layouts.
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.Tiling
+        """
+        return self["tiling"]
+
+    @tiling.setter
+    def tiling(self, val):
+        self["tiling"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the values associated with each of the sectors. Use with
+        `branchvalues` to determine how the values are summed.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        branchvalues
+            Determines how the items in `values` are summed. When
+            set to "total", items in `values` are taken to be value
+            of all its descendants. When set to "remainder", items
+            in `values` corresponding to the root and the branches
+            sectors are taken to be the extra part not part of the
+            sum of the values at their leaves.
+        count
+            Determines default for `values` when it is not
+            provided, by inferring a 1 for each of the "leaves"
+            and/or "branches", otherwise 0.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.treemap.Domain` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.treemap.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `currentPath`, `root`,
+            `entry`, `percentRoot`, `percentEntry` and
+            `percentParent`. Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        labels
+            Sets the labels of each of the sectors.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        level
+            Sets the level from which this trace hierarchy is
+            rendered. Set `level` to `''` to start from the root
+            node in the hierarchy. Must be an "id" if `ids` is
+            filled in, otherwise plotly attempts to find a matching
+            item in `labels`.
+        marker
+            :class:`plotly.graph_objects.treemap.Marker` instance
+            or dict with compatible properties
+        maxdepth
+            Sets the number of rendered sectors from any given
+            `level`. Set `maxdepth` to "-1" to render all the
+            levels in the hierarchy.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        outsidetextfont
+            Sets the font used for `textinfo` lying outside the
+            sector. This option refers to the root of the hierarchy
+            presented on top left corner of a treemap graph. Please
+            note that if a hierarchy has multiple root nodes, this
+            option won't have any effect and `insidetextfont` would
+            be used.
+        parents
+            Sets the parent sectors for each of the sectors. Empty
+            string items '' are understood to reference the root
+            node in the hierarchy. If `ids` is filled, `parents`
+            items are understood to be "ids" themselves. When `ids`
+            is not set, plotly attempts to find matching items in
+            `labels`, but beware they must be unique.
+        parentssrc
+            Sets the source reference on Chart Studio Cloud for
+            parents .
+        pathbar
+            :class:`plotly.graph_objects.treemap.Pathbar` instance
+            or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.treemap.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textposition
+            Sets the positions of the `text` elements.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables
+            `currentPath`, `root`, `entry`, `percentRoot`,
+            `percentEntry`, `percentParent`, `label` and `value`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        tiling
+            :class:`plotly.graph_objects.treemap.Tiling` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values associated with each of the sectors.
+            Use with `branchvalues` to determine how the values are
+            summed.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        branchvalues=None,
+        count=None,
+        customdata=None,
+        customdatasrc=None,
+        domain=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        insidetextfont=None,
+        labels=None,
+        labelssrc=None,
+        level=None,
+        marker=None,
+        maxdepth=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        outsidetextfont=None,
+        parents=None,
+        parentssrc=None,
+        pathbar=None,
+        stream=None,
+        text=None,
+        textfont=None,
+        textinfo=None,
+        textposition=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        tiling=None,
+        uid=None,
+        uirevision=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Treemap object
+        
+        Visualize hierarchal data from leaves (and/or outer branches)
+        towards root with rectangles. The treemap sectors are
+        determined by the entries in "labels" or "ids" and in
+        "parents".
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Treemap`
+        branchvalues
+            Determines how the items in `values` are summed. When
+            set to "total", items in `values` are taken to be value
+            of all its descendants. When set to "remainder", items
+            in `values` corresponding to the root and the branches
+            sectors are taken to be the extra part not part of the
+            sum of the values at their leaves.
+        count
+            Determines default for `values` when it is not
+            provided, by inferring a 1 for each of the "leaves"
+            and/or "branches", otherwise 0.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        domain
+            :class:`plotly.graph_objects.treemap.Domain` instance
+            or dict with compatible properties
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.treemap.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `currentPath`, `root`,
+            `entry`, `percentRoot`, `percentEntry` and
+            `percentParent`. Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each sector.
+            If a single string, the same string appears for all
+            data points. If an array of string, the items are
+            mapped in order of this trace's sectors. To be seen,
+            trace `hoverinfo` must contain a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        insidetextfont
+            Sets the font used for `textinfo` lying inside the
+            sector.
+        labels
+            Sets the labels of each of the sectors.
+        labelssrc
+            Sets the source reference on Chart Studio Cloud for
+            labels .
+        level
+            Sets the level from which this trace hierarchy is
+            rendered. Set `level` to `''` to start from the root
+            node in the hierarchy. Must be an "id" if `ids` is
+            filled in, otherwise plotly attempts to find a matching
+            item in `labels`.
+        marker
+            :class:`plotly.graph_objects.treemap.Marker` instance
+            or dict with compatible properties
+        maxdepth
+            Sets the number of rendered sectors from any given
+            `level`. Set `maxdepth` to "-1" to render all the
+            levels in the hierarchy.
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the trace.
+        outsidetextfont
+            Sets the font used for `textinfo` lying outside the
+            sector. This option refers to the root of the hierarchy
+            presented on top left corner of a treemap graph. Please
+            note that if a hierarchy has multiple root nodes, this
+            option won't have any effect and `insidetextfont` would
+            be used.
+        parents
+            Sets the parent sectors for each of the sectors. Empty
+            string items '' are understood to reference the root
+            node in the hierarchy. If `ids` is filled, `parents`
+            items are understood to be "ids" themselves. When `ids`
+            is not set, plotly attempts to find matching items in
+            `labels`, but beware they must be unique.
+        parentssrc
+            Sets the source reference on Chart Studio Cloud for
+            parents .
+        pathbar
+            :class:`plotly.graph_objects.treemap.Pathbar` instance
+            or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.treemap.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each sector. If
+            trace `textinfo` contains a "text" flag, these elements
+            will be seen on the chart. If trace `hoverinfo`
+            contains a "text" flag and "hovertext" is not set,
+            these elements will be seen in the hover labels.
+        textfont
+            Sets the font used for `textinfo`.
+        textinfo
+            Determines which trace information appear on the graph.
+        textposition
+            Sets the positions of the `text` elements.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables
+            `currentPath`, `root`, `entry`, `percentRoot`,
+            `percentEntry`, `percentParent`, `label` and `value`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        tiling
+            :class:`plotly.graph_objects.treemap.Tiling` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        values
+            Sets the values associated with each of the sectors.
+            Use with `branchvalues` to determine how the values are
+            summed.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+
+        Returns
+        -------
+        Treemap
+        """
+        super(Treemap, self).__init__("treemap")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Treemap 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Treemap`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("branchvalues", None)
+        _v = branchvalues if branchvalues is not None else _v
+        if _v is not None:
+            self["branchvalues"] = _v
+        _v = arg.pop("count", None)
+        _v = count if count is not None else _v
+        if _v is not None:
+            self["count"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("labels", None)
+        _v = labels if labels is not None else _v
+        if _v is not None:
+            self["labels"] = _v
+        _v = arg.pop("labelssrc", None)
+        _v = labelssrc if labelssrc is not None else _v
+        if _v is not None:
+            self["labelssrc"] = _v
+        _v = arg.pop("level", None)
+        _v = level if level is not None else _v
+        if _v is not None:
+            self["level"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("maxdepth", None)
+        _v = maxdepth if maxdepth is not None else _v
+        if _v is not None:
+            self["maxdepth"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("outsidetextfont", None)
+        _v = outsidetextfont if outsidetextfont is not None else _v
+        if _v is not None:
+            self["outsidetextfont"] = _v
+        _v = arg.pop("parents", None)
+        _v = parents if parents is not None else _v
+        if _v is not None:
+            self["parents"] = _v
+        _v = arg.pop("parentssrc", None)
+        _v = parentssrc if parentssrc is not None else _v
+        if _v is not None:
+            self["parentssrc"] = _v
+        _v = arg.pop("pathbar", None)
+        _v = pathbar if pathbar is not None else _v
+        if _v is not None:
+            self["pathbar"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textinfo", None)
+        _v = textinfo if textinfo is not None else _v
+        if _v is not None:
+            self["textinfo"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("tiling", None)
+        _v = tiling if tiling is not None else _v
+        if _v is not None:
+            self["tiling"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "treemap"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_violin.py b/packages/python/plotly/plotly/graph_objs/_violin.py
new file mode 100644
index 00000000000..5a686070902
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_violin.py
@@ -0,0 +1,2342 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Violin(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "violin"
+    _valid_props = {
+        "alignmentgroup",
+        "bandwidth",
+        "box",
+        "customdata",
+        "customdatasrc",
+        "fillcolor",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hoveron",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "jitter",
+        "legendgroup",
+        "line",
+        "marker",
+        "meanline",
+        "meta",
+        "metasrc",
+        "name",
+        "offsetgroup",
+        "opacity",
+        "orientation",
+        "pointpos",
+        "points",
+        "scalegroup",
+        "scalemode",
+        "selected",
+        "selectedpoints",
+        "showlegend",
+        "side",
+        "span",
+        "spanmode",
+        "stream",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "unselected",
+        "visible",
+        "width",
+        "x",
+        "x0",
+        "xaxis",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ysrc",
+    }
+
+    # alignmentgroup
+    # --------------
+    @property
+    def alignmentgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same alignmentgroup. This controls whether bars
+        compute their positional range dependently or independently.
+    
+        The 'alignmentgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["alignmentgroup"]
+
+    @alignmentgroup.setter
+    def alignmentgroup(self, val):
+        self["alignmentgroup"] = val
+
+    # bandwidth
+    # ---------
+    @property
+    def bandwidth(self):
+        """
+        Sets the bandwidth used to compute the kernel density estimate.
+        By default, the bandwidth is determined by Silverman's rule of
+        thumb.
+    
+        The 'bandwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["bandwidth"]
+
+    @bandwidth.setter
+    def bandwidth(self, val):
+        self["bandwidth"] = val
+
+    # box
+    # ---
+    @property
+    def box(self):
+        """
+        The 'box' property is an instance of Box
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Box`
+          - A dict of string/value properties that will be passed
+            to the Box constructor
+    
+            Supported dict properties:
+                
+                fillcolor
+                    Sets the inner box plot fill color.
+                line
+                    :class:`plotly.graph_objects.violin.box.Line`
+                    instance or dict with compatible properties
+                visible
+                    Determines if an miniature box plot is drawn
+                    inside the violins.
+                width
+                    Sets the width of the inner box plots relative
+                    to the violins' width. For example, with 1, the
+                    inner box plots are as wide as the violins.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Box
+        """
+        return self["box"]
+
+    @box.setter
+    def box(self, val):
+        self["box"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hoveron
+    # -------
+    @property
+    def hoveron(self):
+        """
+        Do the hover effects highlight individual violins or sample
+        points or the kernel density estimate or any combination of
+        them?
+    
+        The 'hoveron' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['violins', 'points', 'kde'] joined with '+' characters
+            (e.g. 'violins+points')
+            OR exactly one of ['all'] (e.g. 'all')
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoveron"]
+
+    @hoveron.setter
+    def hoveron(self, val):
+        self["hoveron"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # jitter
+    # ------
+    @property
+    def jitter(self):
+        """
+        Sets the amount of jitter in the sample points drawn. If 0, the
+        sample points align along the distribution axis. If 1, the
+        sample points are drawn in a random jitter of width equal to
+        the width of the violins.
+    
+        The 'jitter' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["jitter"]
+
+    @jitter.setter
+    def jitter(self, val):
+        self["jitter"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of line bounding the violin(s).
+                width
+                    Sets the width (in px) of line bounding the
+                    violin(s).
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets themarkercolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.cmin` and `marker.cmax` if set.
+                line
+                    :class:`plotly.graph_objects.violin.marker.Line
+                    ` instance or dict with compatible properties
+                opacity
+                    Sets the marker opacity.
+                outliercolor
+                    Sets the color of the outlier sample points.
+                size
+                    Sets the marker size (in px).
+                symbol
+                    Sets the marker symbol type. Adding 100 is
+                    equivalent to appending "-open" to a symbol
+                    name. Adding 200 is equivalent to appending
+                    "-dot" to a symbol name. Adding 300 is
+                    equivalent to appending "-open-dot" or "dot-
+                    open" to a symbol name.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # meanline
+    # --------
+    @property
+    def meanline(self):
+        """
+        The 'meanline' property is an instance of Meanline
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Meanline`
+          - A dict of string/value properties that will be passed
+            to the Meanline constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the mean line color.
+                visible
+                    Determines if a line corresponding to the
+                    sample's mean is shown inside the violins. If
+                    `box.visible` is turned on, the mean line is
+                    drawn inside the inner box. Otherwise, the mean
+                    line is drawn from one side of the violin to
+                    other.
+                width
+                    Sets the mean line width.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Meanline
+        """
+        return self["meanline"]
+
+    @meanline.setter
+    def meanline(self, val):
+        self["meanline"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover. For violin traces, the name will also be used for
+        the position coordinate, if `x` and `x0` (`y` and `y0` if
+        horizontal) are missing and the position axis is categorical.
+        Note that the trace name is also used as a default value for
+        attribute `scalegroup` (please see its description for
+        details).
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # offsetgroup
+    # -----------
+    @property
+    def offsetgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same offsetgroup where bars of the same position
+        coordinate will line up.
+    
+        The 'offsetgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetgroup"]
+
+    @offsetgroup.setter
+    def offsetgroup(self, val):
+        self["offsetgroup"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the violin(s). If "v" ("h"), the
+        distribution is visualized along the vertical (horizontal).
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # pointpos
+    # --------
+    @property
+    def pointpos(self):
+        """
+        Sets the position of the sample points in relation to the
+        violins. If 0, the sample points are places over the center of
+        the violins. Positive (negative) values correspond to positions
+        to the right (left) for vertical violins and above (below) for
+        horizontal violins.
+    
+        The 'pointpos' property is a number and may be specified as:
+          - An int or float in the interval [-2, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["pointpos"]
+
+    @pointpos.setter
+    def pointpos(self, val):
+        self["pointpos"] = val
+
+    # points
+    # ------
+    @property
+    def points(self):
+        """
+        If "outliers", only the sample points lying outside the
+        whiskers are shown If "suspectedoutliers", the outlier points
+        are shown and points either less than 4*Q1-3*Q3 or greater than
+        4*Q3-3*Q1 are highlighted (see `outliercolor`) If "all", all
+        sample points are shown If False, only the violins are shown
+        with no sample points. Defaults to "suspectedoutliers" when
+        `marker.outliercolor` or `marker.line.outliercolor` is set,
+        otherwise defaults to "outliers".
+    
+        The 'points' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'outliers', 'suspectedoutliers', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["points"]
+
+    @points.setter
+    def points(self, val):
+        self["points"] = val
+
+    # scalegroup
+    # ----------
+    @property
+    def scalegroup(self):
+        """
+        If there are multiple violins that should be sized according to
+        to some metric (see `scalemode`), link them by providing a non-
+        empty group id here shared by every trace in the same group. If
+        a violin's `width` is undefined, `scalegroup` will default to
+        the trace's name. In this case, violins with the same names
+        will be linked together
+    
+        The 'scalegroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["scalegroup"]
+
+    @scalegroup.setter
+    def scalegroup(self, val):
+        self["scalegroup"] = val
+
+    # scalemode
+    # ---------
+    @property
+    def scalemode(self):
+        """
+        Sets the metric by which the width of each violin is
+        determined."width" means each violin has the same (max)
+        width*count* means the violins are scaled by the number of
+        sample points makingup each violin.
+    
+        The 'scalemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['width', 'count']
+
+        Returns
+        -------
+        Any
+        """
+        return self["scalemode"]
+
+    @scalemode.setter
+    def scalemode(self, val):
+        self["scalemode"] = val
+
+    # selected
+    # --------
+    @property
+    def selected(self):
+        """
+        The 'selected' property is an instance of Selected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Selected`
+          - A dict of string/value properties that will be passed
+            to the Selected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.violin.selected.Ma
+                    rker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Selected
+        """
+        return self["selected"]
+
+    @selected.setter
+    def selected(self, val):
+        self["selected"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines on which side of the position value the density
+        function making up one half of a violin is plotted. Useful when
+        comparing two violin traces under "overlay" mode, where one
+        trace has `side` set to "positive" and the other to "negative".
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['both', 'positive', 'negative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # span
+    # ----
+    @property
+    def span(self):
+        """
+        Sets the span in data space for which the density function will
+        be computed. Has an effect only when `spanmode` is set to
+        "manual".
+    
+        The 'span' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'span[0]' property accepts values of any type
+    (1) The 'span[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["span"]
+
+    @span.setter
+    def span(self, val):
+        self["span"] = val
+
+    # spanmode
+    # --------
+    @property
+    def spanmode(self):
+        """
+        Sets the method by which the span in data space where the
+        density function will be computed. "soft" means the span goes
+        from the sample's minimum value minus two bandwidths to the
+        sample's maximum value plus two bandwidths. "hard" means the
+        span goes from the sample's minimum to its maximum value. For
+        custom span settings, use mode "manual" and fill in the `span`
+        attribute.
+    
+        The 'spanmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['soft', 'hard', 'manual']
+
+        Returns
+        -------
+        Any
+        """
+        return self["spanmode"]
+
+    @spanmode.setter
+    def spanmode(self, val):
+        self["spanmode"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with each sample value. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # unselected
+    # ----------
+    @property
+    def unselected(self):
+        """
+        The 'unselected' property is an instance of Unselected
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.Unselected`
+          - A dict of string/value properties that will be passed
+            to the Unselected constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.violin.unselected.
+                    Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.violin.Unselected
+        """
+        return self["unselected"]
+
+    @unselected.setter
+    def unselected(self, val):
+        self["unselected"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the violin in data coordinates. If 0 (default
+        value) the width is automatically selected based on the
+        positions of other violin traces in the same subplot.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x sample data or coordinates. See overview for more
+        info.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Sets the x coordinate for single-box traces or the starting
+        coordinate for multi-box traces set using q1/median/q3. See
+        overview for more info.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y sample data or coordinates. See overview for more
+        info.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Sets the y coordinate for single-box traces or the starting
+        coordinate for multi-box traces set using q1/median/q3. See
+        overview for more info.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        bandwidth
+            Sets the bandwidth used to compute the kernel density
+            estimate. By default, the bandwidth is determined by
+            Silverman's rule of thumb.
+        box
+            :class:`plotly.graph_objects.violin.Box` instance or
+            dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.violin.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual violins or
+            sample points or the kernel density estimate or any
+            combination of them?
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        jitter
+            Sets the amount of jitter in the sample points drawn.
+            If 0, the sample points align along the distribution
+            axis. If 1, the sample points are drawn in a random
+            jitter of width equal to the width of the violins.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.violin.Line` instance or
+            dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.violin.Marker` instance or
+            dict with compatible properties
+        meanline
+            :class:`plotly.graph_objects.violin.Meanline` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover. For violin traces, the name
+            will also be used for the position coordinate, if `x`
+            and `x0` (`y` and `y0` if horizontal) are missing and
+            the position axis is categorical. Note that the trace
+            name is also used as a default value for attribute
+            `scalegroup` (please see its description for details).
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the violin(s). If "v" ("h"),
+            the distribution is visualized along the vertical
+            (horizontal).
+        pointpos
+            Sets the position of the sample points in relation to
+            the violins. If 0, the sample points are places over
+            the center of the violins. Positive (negative) values
+            correspond to positions to the right (left) for
+            vertical violins and above (below) for horizontal
+            violins.
+        points
+            If "outliers", only the sample points lying outside the
+            whiskers are shown If "suspectedoutliers", the outlier
+            points are shown and points either less than 4*Q1-3*Q3
+            or greater than 4*Q3-3*Q1 are highlighted (see
+            `outliercolor`) If "all", all sample points are shown
+            If False, only the violins are shown with no sample
+            points. Defaults to "suspectedoutliers" when
+            `marker.outliercolor` or `marker.line.outliercolor` is
+            set, otherwise defaults to "outliers".
+        scalegroup
+            If there are multiple violins that should be sized
+            according to to some metric (see `scalemode`), link
+            them by providing a non-empty group id here shared by
+            every trace in the same group. If a violin's `width` is
+            undefined, `scalegroup` will default to the trace's
+            name. In this case, violins with the same names will be
+            linked together
+        scalemode
+            Sets the metric by which the width of each violin is
+            determined."width" means each violin has the same (max)
+            width*count* means the violins are scaled by the number
+            of sample points makingup each violin.
+        selected
+            :class:`plotly.graph_objects.violin.Selected` instance
+            or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        side
+            Determines on which side of the position value the
+            density function making up one half of a violin is
+            plotted. Useful when comparing two violin traces under
+            "overlay" mode, where one trace has `side` set to
+            "positive" and the other to "negative".
+        span
+            Sets the span in data space for which the density
+            function will be computed. Has an effect only when
+            `spanmode` is set to "manual".
+        spanmode
+            Sets the method by which the span in data space where
+            the density function will be computed. "soft" means the
+            span goes from the sample's minimum value minus two
+            bandwidths to the sample's maximum value plus two
+            bandwidths. "hard" means the span goes from the
+            sample's minimum to its maximum value. For custom span
+            settings, use mode "manual" and fill in the `span`
+            attribute.
+        stream
+            :class:`plotly.graph_objects.violin.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with each sample
+            value. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.violin.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the width of the violin in data coordinates. If 0
+            (default value) the width is automatically selected
+            based on the positions of other violin traces in the
+            same subplot.
+        x
+            Sets the x sample data or coordinates. See overview for
+            more info.
+        x0
+            Sets the x coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y sample data or coordinates. See overview for
+            more info.
+        y0
+            Sets the y coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alignmentgroup=None,
+        bandwidth=None,
+        box=None,
+        customdata=None,
+        customdatasrc=None,
+        fillcolor=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hoveron=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        jitter=None,
+        legendgroup=None,
+        line=None,
+        marker=None,
+        meanline=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        offsetgroup=None,
+        opacity=None,
+        orientation=None,
+        pointpos=None,
+        points=None,
+        scalegroup=None,
+        scalemode=None,
+        selected=None,
+        selectedpoints=None,
+        showlegend=None,
+        side=None,
+        span=None,
+        spanmode=None,
+        stream=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        unselected=None,
+        visible=None,
+        width=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Violin object
+        
+        In vertical (horizontal) violin plots, statistics are computed
+        using `y` (`x`) values. By supplying an `x` (`y`) array, one
+        violin per distinct x (y) value is drawn If no `x` (`y`) list
+        is provided, a single violin is drawn. That violin position is
+        then positioned with with `name` or with `x0` (`y0`) if
+        provided.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Violin`
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        bandwidth
+            Sets the bandwidth used to compute the kernel density
+            estimate. By default, the bandwidth is determined by
+            Silverman's rule of thumb.
+        box
+            :class:`plotly.graph_objects.violin.Box` instance or
+            dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.violin.Hoverlabel`
+            instance or dict with compatible properties
+        hoveron
+            Do the hover effects highlight individual violins or
+            sample points or the kernel density estimate or any
+            combination of them?
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        jitter
+            Sets the amount of jitter in the sample points drawn.
+            If 0, the sample points align along the distribution
+            axis. If 1, the sample points are drawn in a random
+            jitter of width equal to the width of the violins.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        line
+            :class:`plotly.graph_objects.violin.Line` instance or
+            dict with compatible properties
+        marker
+            :class:`plotly.graph_objects.violin.Marker` instance or
+            dict with compatible properties
+        meanline
+            :class:`plotly.graph_objects.violin.Meanline` instance
+            or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover. For violin traces, the name
+            will also be used for the position coordinate, if `x`
+            and `x0` (`y` and `y0` if horizontal) are missing and
+            the position axis is categorical. Note that the trace
+            name is also used as a default value for attribute
+            `scalegroup` (please see its description for details).
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the violin(s). If "v" ("h"),
+            the distribution is visualized along the vertical
+            (horizontal).
+        pointpos
+            Sets the position of the sample points in relation to
+            the violins. If 0, the sample points are places over
+            the center of the violins. Positive (negative) values
+            correspond to positions to the right (left) for
+            vertical violins and above (below) for horizontal
+            violins.
+        points
+            If "outliers", only the sample points lying outside the
+            whiskers are shown If "suspectedoutliers", the outlier
+            points are shown and points either less than 4*Q1-3*Q3
+            or greater than 4*Q3-3*Q1 are highlighted (see
+            `outliercolor`) If "all", all sample points are shown
+            If False, only the violins are shown with no sample
+            points. Defaults to "suspectedoutliers" when
+            `marker.outliercolor` or `marker.line.outliercolor` is
+            set, otherwise defaults to "outliers".
+        scalegroup
+            If there are multiple violins that should be sized
+            according to to some metric (see `scalemode`), link
+            them by providing a non-empty group id here shared by
+            every trace in the same group. If a violin's `width` is
+            undefined, `scalegroup` will default to the trace's
+            name. In this case, violins with the same names will be
+            linked together
+        scalemode
+            Sets the metric by which the width of each violin is
+            determined."width" means each violin has the same (max)
+            width*count* means the violins are scaled by the number
+            of sample points makingup each violin.
+        selected
+            :class:`plotly.graph_objects.violin.Selected` instance
+            or dict with compatible properties
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        side
+            Determines on which side of the position value the
+            density function making up one half of a violin is
+            plotted. Useful when comparing two violin traces under
+            "overlay" mode, where one trace has `side` set to
+            "positive" and the other to "negative".
+        span
+            Sets the span in data space for which the density
+            function will be computed. Has an effect only when
+            `spanmode` is set to "manual".
+        spanmode
+            Sets the method by which the span in data space where
+            the density function will be computed. "soft" means the
+            span goes from the sample's minimum value minus two
+            bandwidths to the sample's maximum value plus two
+            bandwidths. "hard" means the span goes from the
+            sample's minimum to its maximum value. For custom span
+            settings, use mode "manual" and fill in the `span`
+            attribute.
+        stream
+            :class:`plotly.graph_objects.violin.Stream` instance or
+            dict with compatible properties
+        text
+            Sets the text elements associated with each sample
+            value. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        unselected
+            :class:`plotly.graph_objects.violin.Unselected`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the width of the violin in data coordinates. If 0
+            (default value) the width is automatically selected
+            based on the positions of other violin traces in the
+            same subplot.
+        x
+            Sets the x sample data or coordinates. See overview for
+            more info.
+        x0
+            Sets the x coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y sample data or coordinates. See overview for
+            more info.
+        y0
+            Sets the y coordinate for single-box traces or the
+            starting coordinate for multi-box traces set using
+            q1/median/q3. See overview for more info.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Violin
+        """
+        super(Violin, self).__init__("violin")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Violin 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Violin`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alignmentgroup", None)
+        _v = alignmentgroup if alignmentgroup is not None else _v
+        if _v is not None:
+            self["alignmentgroup"] = _v
+        _v = arg.pop("bandwidth", None)
+        _v = bandwidth if bandwidth is not None else _v
+        if _v is not None:
+            self["bandwidth"] = _v
+        _v = arg.pop("box", None)
+        _v = box if box is not None else _v
+        if _v is not None:
+            self["box"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hoveron", None)
+        _v = hoveron if hoveron is not None else _v
+        if _v is not None:
+            self["hoveron"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("jitter", None)
+        _v = jitter if jitter is not None else _v
+        if _v is not None:
+            self["jitter"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("meanline", None)
+        _v = meanline if meanline is not None else _v
+        if _v is not None:
+            self["meanline"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("offsetgroup", None)
+        _v = offsetgroup if offsetgroup is not None else _v
+        if _v is not None:
+            self["offsetgroup"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("pointpos", None)
+        _v = pointpos if pointpos is not None else _v
+        if _v is not None:
+            self["pointpos"] = _v
+        _v = arg.pop("points", None)
+        _v = points if points is not None else _v
+        if _v is not None:
+            self["points"] = _v
+        _v = arg.pop("scalegroup", None)
+        _v = scalegroup if scalegroup is not None else _v
+        if _v is not None:
+            self["scalegroup"] = _v
+        _v = arg.pop("scalemode", None)
+        _v = scalemode if scalemode is not None else _v
+        if _v is not None:
+            self["scalemode"] = _v
+        _v = arg.pop("selected", None)
+        _v = selected if selected is not None else _v
+        if _v is not None:
+            self["selected"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("span", None)
+        _v = span if span is not None else _v
+        if _v is not None:
+            self["span"] = _v
+        _v = arg.pop("spanmode", None)
+        _v = spanmode if spanmode is not None else _v
+        if _v is not None:
+            self["spanmode"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("unselected", None)
+        _v = unselected if unselected is not None else _v
+        if _v is not None:
+            self["unselected"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "violin"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_volume.py b/packages/python/plotly/plotly/graph_objs/_volume.py
new file mode 100644
index 00000000000..4580c3de507
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_volume.py
@@ -0,0 +1,2507 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Volume(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "volume"
+    _valid_props = {
+        "autocolorscale",
+        "caps",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "contour",
+        "customdata",
+        "customdatasrc",
+        "flatshading",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "isomax",
+        "isomin",
+        "legendgroup",
+        "lighting",
+        "lightposition",
+        "meta",
+        "metasrc",
+        "name",
+        "opacity",
+        "opacityscale",
+        "reversescale",
+        "scene",
+        "showlegend",
+        "showscale",
+        "slices",
+        "spaceframe",
+        "stream",
+        "surface",
+        "text",
+        "textsrc",
+        "type",
+        "uid",
+        "uirevision",
+        "value",
+        "valuesrc",
+        "visible",
+        "x",
+        "xsrc",
+        "y",
+        "ysrc",
+        "z",
+        "zsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # caps
+    # ----
+    @property
+    def caps(self):
+        """
+        The 'caps' property is an instance of Caps
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Caps`
+          - A dict of string/value properties that will be passed
+            to the Caps constructor
+    
+            Supported dict properties:
+                
+                x
+                    :class:`plotly.graph_objects.volume.caps.X`
+                    instance or dict with compatible properties
+                y
+                    :class:`plotly.graph_objects.volume.caps.Y`
+                    instance or dict with compatible properties
+                z
+                    :class:`plotly.graph_objects.volume.caps.Z`
+                    instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Caps
+        """
+        return self["caps"]
+
+    @caps.setter
+    def caps(self, val):
+        self["caps"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here `value`) or the bounds set in
+        `cmin` and `cmax`  Defaults to `false` when `cmin` and `cmax`
+        are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as `value` and if set, `cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as `value`. Has no effect when `cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as `value` and if set, `cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.volume.
+                    colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.volume.colorbar.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of volume.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.volume.colorbar.Ti
+                    tle` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    volume.colorbar.title.font instead. Sets this
+                    color bar's title font. Note that the title's
+                    font used to be set by the now deprecated
+                    `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    volume.colorbar.title.side instead. Determines
+                    the location of color bar's title with respect
+                    to the color bar. Note that the title's
+                    location used to be set by the now deprecated
+                    `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # contour
+    # -------
+    @property
+    def contour(self):
+        """
+        The 'contour' property is an instance of Contour
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Contour`
+          - A dict of string/value properties that will be passed
+            to the Contour constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour lines.
+                show
+                    Sets whether or not dynamic contours are shown
+                    on hover
+                width
+                    Sets the width of the contour lines.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Contour
+        """
+        return self["contour"]
+
+    @contour.setter
+    def contour(self, val):
+        self["contour"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # flatshading
+    # -----------
+    @property
+    def flatshading(self):
+        """
+        Determines whether or not normal smoothing is applied to the
+        meshes, creating meshes with an angular, low-poly look via flat
+        reflections.
+    
+        The 'flatshading' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["flatshading"]
+
+    @flatshading.setter
+    def flatshading(self, val):
+        self["flatshading"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
+            (e.g. 'x+y')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        Anything contained in tag `<extra>` is displayed in the
+        secondary box, for example "<extra>{fullData.name}</extra>". To
+        hide the secondary box completely, use an empty tag
+        `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Same as `text`.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # isomax
+    # ------
+    @property
+    def isomax(self):
+        """
+        Sets the maximum boundary for iso-surface plot.
+    
+        The 'isomax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["isomax"]
+
+    @isomax.setter
+    def isomax(self, val):
+        self["isomax"] = val
+
+    # isomin
+    # ------
+    @property
+    def isomin(self):
+        """
+        Sets the minimum boundary for iso-surface plot.
+    
+        The 'isomin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["isomin"]
+
+    @isomin.setter
+    def isomin(self, val):
+        self["isomin"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # lighting
+    # --------
+    @property
+    def lighting(self):
+        """
+        The 'lighting' property is an instance of Lighting
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Lighting`
+          - A dict of string/value properties that will be passed
+            to the Lighting constructor
+    
+            Supported dict properties:
+                
+                ambient
+                    Ambient light increases overall color
+                    visibility but can wash out the image.
+                diffuse
+                    Represents the extent that incident rays are
+                    reflected in a range of angles.
+                facenormalsepsilon
+                    Epsilon for face normals calculation avoids
+                    math issues arising from degenerate geometry.
+                fresnel
+                    Represents the reflectance as a dependency of
+                    the viewing angle; e.g. paper is reflective
+                    when viewing it from the edge of the paper
+                    (almost 90 degrees), causing shine.
+                roughness
+                    Alters specular reflection; the rougher the
+                    surface, the wider and less contrasty the
+                    shine.
+                specular
+                    Represents the level that incident rays are
+                    reflected in a single direction, causing shine.
+                vertexnormalsepsilon
+                    Epsilon for vertex normals calculation avoids
+                    math issues arising from degenerate geometry.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Lighting
+        """
+        return self["lighting"]
+
+    @lighting.setter
+    def lighting(self, val):
+        self["lighting"] = val
+
+    # lightposition
+    # -------------
+    @property
+    def lightposition(self):
+        """
+        The 'lightposition' property is an instance of Lightposition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Lightposition`
+          - A dict of string/value properties that will be passed
+            to the Lightposition constructor
+    
+            Supported dict properties:
+                
+                x
+                    Numeric vector, representing the X coordinate
+                    for each vertex.
+                y
+                    Numeric vector, representing the Y coordinate
+                    for each vertex.
+                z
+                    Numeric vector, representing the Z coordinate
+                    for each vertex.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Lightposition
+        """
+        return self["lightposition"]
+
+    @lightposition.setter
+    def lightposition(self, val):
+        self["lightposition"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the surface. Please note that in the case
+        of using high `opacity` values for example a value greater than
+        or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
+        an overlay of multiple transparent surfaces may not perfectly
+        be sorted in depth by the webgl API. This behavior may be
+        improved in the near future and is subject to change.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacityscale
+    # ------------
+    @property
+    def opacityscale(self):
+        """
+        Sets the opacityscale. The opacityscale must be an array
+        containing arrays mapping a normalized value to an opacity
+        value. At minimum, a mapping for the lowest (0) and highest (1)
+        values are required. For example, `[[0, 1], [0.5, 0.2], [1,
+        1]]` means that higher/lower values would have higher opacity
+        values and those in the middle would be more transparent
+        Alternatively, `opacityscale` may be a palette name string of
+        the following list: 'min', 'max', 'extremes' and 'uniform'. The
+        default is 'uniform'.
+    
+        The 'opacityscale' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["opacityscale"]
+
+    @opacityscale.setter
+    def opacityscale(self, val):
+        self["opacityscale"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # scene
+    # -----
+    @property
+    def scene(self):
+        """
+        Sets a reference between this trace's 3D coordinate system and
+        a 3D scene. If "scene" (the default value), the (x,y,z)
+        coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
+        coordinates refer to `layout.scene2`, and so on.
+    
+        The 'scene' property is an identifier of a particular
+        subplot, of type 'scene', that may be specified as the string 'scene'
+        optionally followed by an integer >= 1
+        (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["scene"]
+
+    @scene.setter
+    def scene(self, val):
+        self["scene"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # slices
+    # ------
+    @property
+    def slices(self):
+        """
+        The 'slices' property is an instance of Slices
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Slices`
+          - A dict of string/value properties that will be passed
+            to the Slices constructor
+    
+            Supported dict properties:
+                
+                x
+                    :class:`plotly.graph_objects.volume.slices.X`
+                    instance or dict with compatible properties
+                y
+                    :class:`plotly.graph_objects.volume.slices.Y`
+                    instance or dict with compatible properties
+                z
+                    :class:`plotly.graph_objects.volume.slices.Z`
+                    instance or dict with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Slices
+        """
+        return self["slices"]
+
+    @slices.setter
+    def slices(self, val):
+        self["slices"] = val
+
+    # spaceframe
+    # ----------
+    @property
+    def spaceframe(self):
+        """
+        The 'spaceframe' property is an instance of Spaceframe
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Spaceframe`
+          - A dict of string/value properties that will be passed
+            to the Spaceframe constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `spaceframe`
+                    elements. The default fill value is 1 meaning
+                    that they are entirely shaded. Applying a
+                    `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Displays/hides tetrahedron shapes between
+                    minimum and maximum iso-values. Often useful
+                    when either caps or surfaces are disabled or
+                    filled with values less than 1.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Spaceframe
+        """
+        return self["spaceframe"]
+
+    @spaceframe.setter
+    def spaceframe(self, val):
+        self["spaceframe"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # surface
+    # -------
+    @property
+    def surface(self):
+        """
+        The 'surface' property is an instance of Surface
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.Surface`
+          - A dict of string/value properties that will be passed
+            to the Surface constructor
+    
+            Supported dict properties:
+                
+                count
+                    Sets the number of iso-surfaces between minimum
+                    and maximum iso-values. By default this value
+                    is 2 meaning that only minimum and maximum
+                    surfaces would be drawn.
+                fill
+                    Sets the fill ratio of the iso-surface. The
+                    default fill value of the surface is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                pattern
+                    Sets the surface pattern of the iso-surface 3-D
+                    sections. The default pattern of the surface is
+                    `all` meaning that the rest of surface elements
+                    would be shaded. The check options (either 1 or
+                    2) could be used to draw half of the squares on
+                    the surface. Using various combinations of
+                    capital `A`, `B`, `C`, `D` and `E` may also be
+                    used to reduce the number of triangles on the
+                    iso-surfaces and creating other patterns of
+                    interest.
+                show
+                    Hides/displays surfaces between minimum and
+                    maximum iso-values.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.Surface
+        """
+        return self["surface"]
+
+    @surface.setter
+    def surface(self, val):
+        self["surface"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text elements associated with the vertices. If trace
+        `hoverinfo` contains a "text" flag and "hovertext" is not set,
+        these elements will be seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the 4th dimension (value) of the vertices.
+    
+        The 'value' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valuesrc
+    # --------
+    @property
+    def valuesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  value .
+    
+        The 'valuesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuesrc"]
+
+    @valuesrc.setter
+    def valuesrc(self, val):
+        self["valuesrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the X coordinates of the vertices on X axis.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the Y coordinates of the vertices on Y axis.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the Z coordinates of the vertices on Z axis.
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        caps
+            :class:`plotly.graph_objects.volume.Caps` instance or
+            dict with compatible properties
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here `value`) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as `value` and if set, `cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as `value`. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as `value` and if set, `cmax` must
+            be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.volume.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contour
+            :class:`plotly.graph_objects.volume.Contour` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        flatshading
+            Determines whether or not normal smoothing is applied
+            to the meshes, creating meshes with an angular, low-
+            poly look via flat reflections.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.volume.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        isomax
+            Sets the maximum boundary for iso-surface plot.
+        isomin
+            Sets the minimum boundary for iso-surface plot.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.volume.Lighting` instance
+            or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.volume.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        opacityscale
+            Sets the opacityscale. The opacityscale must be an
+            array containing arrays mapping a normalized value to
+            an opacity value. At minimum, a mapping for the lowest
+            (0) and highest (1) values are required. For example,
+            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
+            values would have higher opacity values and those in
+            the middle would be more transparent Alternatively,
+            `opacityscale` may be a palette name string of the
+            following list: 'min', 'max', 'extremes' and 'uniform'.
+            The default is 'uniform'.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        slices
+            :class:`plotly.graph_objects.volume.Slices` instance or
+            dict with compatible properties
+        spaceframe
+            :class:`plotly.graph_objects.volume.Spaceframe`
+            instance or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.volume.Stream` instance or
+            dict with compatible properties
+        surface
+            :class:`plotly.graph_objects.volume.Surface` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with the vertices. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        value
+            Sets the 4th dimension (value) of the vertices.
+        valuesrc
+            Sets the source reference on Chart Studio Cloud for
+            value .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the X coordinates of the vertices on X axis.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the Y coordinates of the vertices on Y axis.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the Z coordinates of the vertices on Z axis.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        caps=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        contour=None,
+        customdata=None,
+        customdatasrc=None,
+        flatshading=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        isomax=None,
+        isomin=None,
+        legendgroup=None,
+        lighting=None,
+        lightposition=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        opacity=None,
+        opacityscale=None,
+        reversescale=None,
+        scene=None,
+        showlegend=None,
+        showscale=None,
+        slices=None,
+        spaceframe=None,
+        stream=None,
+        surface=None,
+        text=None,
+        textsrc=None,
+        uid=None,
+        uirevision=None,
+        value=None,
+        valuesrc=None,
+        visible=None,
+        x=None,
+        xsrc=None,
+        y=None,
+        ysrc=None,
+        z=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Volume object
+        
+        Draws volume trace between iso-min and iso-max values with
+        coordinates given by four 1-dimensional arrays containing the
+        `value`, `x`, `y` and `z` of every vertex of a uniform or non-
+        uniform 3-D grid. Horizontal or vertical slices, caps as well
+        as spaceframe between iso-min and iso-max values could also be
+        drawn using this trace.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Volume`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        caps
+            :class:`plotly.graph_objects.volume.Caps` instance or
+            dict with compatible properties
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here `value`) or the
+            bounds set in `cmin` and `cmax`  Defaults to `false`
+            when `cmin` and `cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as `value` and if set, `cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as `value`. Has no
+            effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as `value` and if set, `cmax` must
+            be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.volume.ColorBar` instance
+            or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        contour
+            :class:`plotly.graph_objects.volume.Contour` instance
+            or dict with compatible properties
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        flatshading
+            Determines whether or not normal smoothing is applied
+            to the meshes, creating meshes with an angular, low-
+            poly look via flat reflections.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.volume.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available.  Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Same as `text`.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        isomax
+            Sets the maximum boundary for iso-surface plot.
+        isomin
+            Sets the minimum boundary for iso-surface plot.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        lighting
+            :class:`plotly.graph_objects.volume.Lighting` instance
+            or dict with compatible properties
+        lightposition
+            :class:`plotly.graph_objects.volume.Lightposition`
+            instance or dict with compatible properties
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        opacity
+            Sets the opacity of the surface. Please note that in
+            the case of using high `opacity` values for example a
+            value greater than or equal to 0.5 on two surfaces (and
+            0.25 with four surfaces), an overlay of multiple
+            transparent surfaces may not perfectly be sorted in
+            depth by the webgl API. This behavior may be improved
+            in the near future and is subject to change.
+        opacityscale
+            Sets the opacityscale. The opacityscale must be an
+            array containing arrays mapping a normalized value to
+            an opacity value. At minimum, a mapping for the lowest
+            (0) and highest (1) values are required. For example,
+            `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
+            values would have higher opacity values and those in
+            the middle would be more transparent Alternatively,
+            `opacityscale` may be a palette name string of the
+            following list: 'min', 'max', 'extremes' and 'uniform'.
+            The default is 'uniform'.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        scene
+            Sets a reference between this trace's 3D coordinate
+            system and a 3D scene. If "scene" (the default value),
+            the (x,y,z) coordinates refer to `layout.scene`. If
+            "scene2", the (x,y,z) coordinates refer to
+            `layout.scene2`, and so on.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        slices
+            :class:`plotly.graph_objects.volume.Slices` instance or
+            dict with compatible properties
+        spaceframe
+            :class:`plotly.graph_objects.volume.Spaceframe`
+            instance or dict with compatible properties
+        stream
+            :class:`plotly.graph_objects.volume.Stream` instance or
+            dict with compatible properties
+        surface
+            :class:`plotly.graph_objects.volume.Surface` instance
+            or dict with compatible properties
+        text
+            Sets the text elements associated with the vertices. If
+            trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        value
+            Sets the 4th dimension (value) of the vertices.
+        valuesrc
+            Sets the source reference on Chart Studio Cloud for
+            value .
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        x
+            Sets the X coordinates of the vertices on X axis.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the Y coordinates of the vertices on Y axis.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the Z coordinates of the vertices on Z axis.
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Volume
+        """
+        super(Volume, self).__init__("volume")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Volume 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Volume`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("caps", None)
+        _v = caps if caps is not None else _v
+        if _v is not None:
+            self["caps"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("contour", None)
+        _v = contour if contour is not None else _v
+        if _v is not None:
+            self["contour"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("flatshading", None)
+        _v = flatshading if flatshading is not None else _v
+        if _v is not None:
+            self["flatshading"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("isomax", None)
+        _v = isomax if isomax is not None else _v
+        if _v is not None:
+            self["isomax"] = _v
+        _v = arg.pop("isomin", None)
+        _v = isomin if isomin is not None else _v
+        if _v is not None:
+            self["isomin"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("lighting", None)
+        _v = lighting if lighting is not None else _v
+        if _v is not None:
+            self["lighting"] = _v
+        _v = arg.pop("lightposition", None)
+        _v = lightposition if lightposition is not None else _v
+        if _v is not None:
+            self["lightposition"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacityscale", None)
+        _v = opacityscale if opacityscale is not None else _v
+        if _v is not None:
+            self["opacityscale"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("scene", None)
+        _v = scene if scene is not None else _v
+        if _v is not None:
+            self["scene"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("slices", None)
+        _v = slices if slices is not None else _v
+        if _v is not None:
+            self["slices"] = _v
+        _v = arg.pop("spaceframe", None)
+        _v = spaceframe if spaceframe is not None else _v
+        if _v is not None:
+            self["spaceframe"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("surface", None)
+        _v = surface if surface is not None else _v
+        if _v is not None:
+            self["surface"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valuesrc", None)
+        _v = valuesrc if valuesrc is not None else _v
+        if _v is not None:
+            self["valuesrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "volume"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/_waterfall.py b/packages/python/plotly/plotly/graph_objs/_waterfall.py
new file mode 100644
index 00000000000..8b49ac6e48e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/_waterfall.py
@@ -0,0 +1,2565 @@
+from plotly.basedatatypes import BaseTraceType as _BaseTraceType
+import copy as _copy
+
+
+class Waterfall(_BaseTraceType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = ""
+    _path_str = "waterfall"
+    _valid_props = {
+        "alignmentgroup",
+        "base",
+        "cliponaxis",
+        "connector",
+        "constraintext",
+        "customdata",
+        "customdatasrc",
+        "decreasing",
+        "dx",
+        "dy",
+        "hoverinfo",
+        "hoverinfosrc",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "hovertext",
+        "hovertextsrc",
+        "ids",
+        "idssrc",
+        "increasing",
+        "insidetextanchor",
+        "insidetextfont",
+        "legendgroup",
+        "measure",
+        "measuresrc",
+        "meta",
+        "metasrc",
+        "name",
+        "offset",
+        "offsetgroup",
+        "offsetsrc",
+        "opacity",
+        "orientation",
+        "outsidetextfont",
+        "selectedpoints",
+        "showlegend",
+        "stream",
+        "text",
+        "textangle",
+        "textfont",
+        "textinfo",
+        "textposition",
+        "textpositionsrc",
+        "textsrc",
+        "texttemplate",
+        "texttemplatesrc",
+        "totals",
+        "type",
+        "uid",
+        "uirevision",
+        "visible",
+        "width",
+        "widthsrc",
+        "x",
+        "x0",
+        "xaxis",
+        "xsrc",
+        "y",
+        "y0",
+        "yaxis",
+        "ysrc",
+    }
+
+    # alignmentgroup
+    # --------------
+    @property
+    def alignmentgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same alignmentgroup. This controls whether bars
+        compute their positional range dependently or independently.
+    
+        The 'alignmentgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["alignmentgroup"]
+
+    @alignmentgroup.setter
+    def alignmentgroup(self, val):
+        self["alignmentgroup"] = val
+
+    # base
+    # ----
+    @property
+    def base(self):
+        """
+        Sets where the bar base is drawn (in position axis units).
+    
+        The 'base' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["base"]
+
+    @base.setter
+    def base(self, val):
+        self["base"] = val
+
+    # cliponaxis
+    # ----------
+    @property
+    def cliponaxis(self):
+        """
+        Determines whether the text nodes are clipped about the subplot
+        axes. To show the text nodes above axis lines and tick labels,
+        make sure to set `xaxis.layer` and `yaxis.layer` to *below
+        traces*.
+    
+        The 'cliponaxis' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cliponaxis"]
+
+    @cliponaxis.setter
+    def cliponaxis(self, val):
+        self["cliponaxis"] = val
+
+    # connector
+    # ---------
+    @property
+    def connector(self):
+        """
+        The 'connector' property is an instance of Connector
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Connector`
+          - A dict of string/value properties that will be passed
+            to the Connector constructor
+    
+            Supported dict properties:
+                
+                line
+                    :class:`plotly.graph_objects.waterfall.connecto
+                    r.Line` instance or dict with compatible
+                    properties
+                mode
+                    Sets the shape of connector lines.
+                visible
+                    Determines if connector lines are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Connector
+        """
+        return self["connector"]
+
+    @connector.setter
+    def connector(self, val):
+        self["connector"] = val
+
+    # constraintext
+    # -------------
+    @property
+    def constraintext(self):
+        """
+        Constrain the size of text inside or outside a bar to be no
+        larger than the bar itself.
+    
+        The 'constraintext' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'both', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constraintext"]
+
+    @constraintext.setter
+    def constraintext(self, val):
+        self["constraintext"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data each datum. This may be useful when
+        listening to hover, click and selection events. Note that,
+        "scatter" traces also appends customdata items in the markers
+        DOM elements
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # decreasing
+    # ----------
+    @property
+    def decreasing(self):
+        """
+        The 'decreasing' property is an instance of Decreasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Decreasing`
+          - A dict of string/value properties that will be passed
+            to the Decreasing constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.waterfall.decreasi
+                    ng.Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Decreasing
+        """
+        return self["decreasing"]
+
+    @decreasing.setter
+    def decreasing(self, val):
+        self["decreasing"] = val
+
+    # dx
+    # --
+    @property
+    def dx(self):
+        """
+        Sets the x coordinate step. See `x0` for more info.
+    
+        The 'dx' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dx"]
+
+    @dx.setter
+    def dx(self, val):
+        self["dx"] = val
+
+    # dy
+    # --
+    @property
+    def dy(self):
+        """
+        Sets the y coordinate step. See `y0` for more info.
+    
+        The 'dy' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dy"]
+
+    @dy.setter
+    def dy(self, val):
+        self["dy"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear on hover. If `none`
+        or `skip` are set, no information is displayed upon hovering.
+        But, if `none` is set, click and hover events are still fired.
+    
+        The 'hoverinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['name', 'x', 'y', 'text', 'initial', 'delta', 'final'] joined with '+' characters
+            (e.g. 'name+x')
+            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
+          - A list or array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverinfosrc
+    # ------------
+    @property
+    def hoverinfosrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hoverinfo
+        .
+    
+        The 'hoverinfosrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverinfosrc"]
+
+    @hoverinfosrc.setter
+    def hoverinfosrc(self, val):
+        self["hoverinfosrc"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `initial`, `delta` and `final`. Anything contained in
+        tag `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets hover text elements associated with each (x,y) pair. If a
+        single string, the same string appears over all the data
+        points. If an array of string, the items are mapped in order to
+        the this trace's (x,y) coordinates. To be seen, trace
+        `hoverinfo` must contain a "text" flag.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # hovertextsrc
+    # ------------
+    @property
+    def hovertextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  hovertext
+        .
+    
+        The 'hovertextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertextsrc"]
+
+    @hovertextsrc.setter
+    def hovertextsrc(self, val):
+        self["hovertextsrc"] = val
+
+    # ids
+    # ---
+    @property
+    def ids(self):
+        """
+        Assigns id labels to each datum. These ids for object constancy
+        of data points during animation. Should be an array of strings,
+        not numbers or any other type.
+    
+        The 'ids' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ids"]
+
+    @ids.setter
+    def ids(self, val):
+        self["ids"] = val
+
+    # idssrc
+    # ------
+    @property
+    def idssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ids .
+    
+        The 'idssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["idssrc"]
+
+    @idssrc.setter
+    def idssrc(self, val):
+        self["idssrc"] = val
+
+    # increasing
+    # ----------
+    @property
+    def increasing(self):
+        """
+        The 'increasing' property is an instance of Increasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Increasing`
+          - A dict of string/value properties that will be passed
+            to the Increasing constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.waterfall.increasi
+                    ng.Marker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Increasing
+        """
+        return self["increasing"]
+
+    @increasing.setter
+    def increasing(self, val):
+        self["increasing"] = val
+
+    # insidetextanchor
+    # ----------------
+    @property
+    def insidetextanchor(self):
+        """
+        Determines if texts are kept at center or start/end points in
+        `textposition` "inside" mode.
+    
+        The 'insidetextanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['end', 'middle', 'start']
+
+        Returns
+        -------
+        Any
+        """
+        return self["insidetextanchor"]
+
+    @insidetextanchor.setter
+    def insidetextanchor(self, val):
+        self["insidetextanchor"] = val
+
+    # insidetextfont
+    # --------------
+    @property
+    def insidetextfont(self):
+        """
+        Sets the font used for `text` lying inside the bar.
+    
+        The 'insidetextfont' property is an instance of Insidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Insidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Insidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Insidetextfont
+        """
+        return self["insidetextfont"]
+
+    @insidetextfont.setter
+    def insidetextfont(self, val):
+        self["insidetextfont"] = val
+
+    # legendgroup
+    # -----------
+    @property
+    def legendgroup(self):
+        """
+        Sets the legend group for this trace. Traces part of the same
+        legend group hide/show at the same time when toggling legend
+        items.
+    
+        The 'legendgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["legendgroup"]
+
+    @legendgroup.setter
+    def legendgroup(self, val):
+        self["legendgroup"] = val
+
+    # measure
+    # -------
+    @property
+    def measure(self):
+        """
+        An array containing types of values. By default the values are
+        considered as 'relative'. However; it is possible to use
+        'total' to compute the sums. Also 'absolute' could be applied
+        to reset the computed total or to declare an initial value
+        where needed.
+    
+        The 'measure' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["measure"]
+
+    @measure.setter
+    def measure(self, val):
+        self["measure"] = val
+
+    # measuresrc
+    # ----------
+    @property
+    def measuresrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  measure .
+    
+        The 'measuresrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["measuresrc"]
+
+    @measuresrc.setter
+    def measuresrc(self, val):
+        self["measuresrc"] = val
+
+    # meta
+    # ----
+    @property
+    def meta(self):
+        """
+        Assigns extra meta information associated with this trace that
+        can be used in various text attributes. Attributes such as
+        trace `name`, graph, axis and colorbar `title.text`, annotation
+        `text` `rangeselector`, `updatemenues` and `sliders` `label`
+        text all support `meta`. To access the trace `meta` values in
+        an attribute in the same trace, simply use `%{meta[i]}` where
+        `i` is the index or key of the `meta` item in question. To
+        access trace `meta` in layout attributes, use
+        `%{data[n[.meta[i]}` where `i` is the index or key of the
+        `meta` and `n` is the trace index.
+    
+        The 'meta' property accepts values of any type
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["meta"]
+
+    @meta.setter
+    def meta(self, val):
+        self["meta"] = val
+
+    # metasrc
+    # -------
+    @property
+    def metasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  meta .
+    
+        The 'metasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["metasrc"]
+
+    @metasrc.setter
+    def metasrc(self, val):
+        self["metasrc"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        Sets the trace name. The trace name appear as the legend item
+        and on hover.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        Shifts the position where the bar is drawn (in position axis
+        units). In "group" barmode, traces that set "offset" will be
+        excluded and drawn in "overlay" mode instead.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # offsetgroup
+    # -----------
+    @property
+    def offsetgroup(self):
+        """
+        Set several traces linked to the same position axis or matching
+        axes to the same offsetgroup where bars of the same position
+        coordinate will line up.
+    
+        The 'offsetgroup' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetgroup"]
+
+    @offsetgroup.setter
+    def offsetgroup(self, val):
+        self["offsetgroup"] = val
+
+    # offsetsrc
+    # ---------
+    @property
+    def offsetsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  offset .
+    
+        The 'offsetsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["offsetsrc"]
+
+    @offsetsrc.setter
+    def offsetsrc(self, val):
+        self["offsetsrc"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the trace.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the bars. With "v" ("h"), the value of
+        the each bar spans along the vertical (horizontal).
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # outsidetextfont
+    # ---------------
+    @property
+    def outsidetextfont(self):
+        """
+        Sets the font used for `text` lying outside the bar.
+    
+        The 'outsidetextfont' property is an instance of Outsidetextfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Outsidetextfont`
+          - A dict of string/value properties that will be passed
+            to the Outsidetextfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Outsidetextfont
+        """
+        return self["outsidetextfont"]
+
+    @outsidetextfont.setter
+    def outsidetextfont(self, val):
+        self["outsidetextfont"] = val
+
+    # selectedpoints
+    # --------------
+    @property
+    def selectedpoints(self):
+        """
+        Array containing integer indices of selected points. Has an
+        effect only for traces that support selections. Note that an
+        empty array means an empty selection where the `unselected` are
+        turned on for all points, whereas, any other non-array values
+        means no selection all where the `selected` and `unselected`
+        styles have no effect.
+    
+        The 'selectedpoints' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["selectedpoints"]
+
+    @selectedpoints.setter
+    def selectedpoints(self, val):
+        self["selectedpoints"] = val
+
+    # showlegend
+    # ----------
+    @property
+    def showlegend(self):
+        """
+        Determines whether or not an item corresponding to this trace
+        is shown in the legend.
+    
+        The 'showlegend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlegend"]
+
+    @showlegend.setter
+    def showlegend(self, val):
+        self["showlegend"] = val
+
+    # stream
+    # ------
+    @property
+    def stream(self):
+        """
+        The 'stream' property is an instance of Stream
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Stream`
+          - A dict of string/value properties that will be passed
+            to the Stream constructor
+    
+            Supported dict properties:
+                
+                maxpoints
+                    Sets the maximum number of points to keep on
+                    the plots from an incoming stream. If
+                    `maxpoints` is set to 50, only the newest 50
+                    points will be displayed on the plot.
+                token
+                    The stream id number links a data trace on a
+                    plot with a stream. See https://chart-
+                    studio.plotly.com/settings for more details.
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Stream
+        """
+        return self["stream"]
+
+    @stream.setter
+    def stream(self, val):
+        self["stream"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets text elements associated with each (x,y) pair. If a single
+        string, the same string appears over all the data points. If an
+        array of string, the items are mapped in order to the this
+        trace's (x,y) coordinates. If trace `hoverinfo` contains a
+        "text" flag and "hovertext" is not set, these elements will be
+        seen in the hover labels.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textangle
+    # ---------
+    @property
+    def textangle(self):
+        """
+        Sets the angle of the tick labels with respect to the bar. For
+        example, a `tickangle` of -90 draws the tick labels vertically.
+        With "auto" the texts may automatically be rotated to fit with
+        the maximum size in bars.
+    
+        The 'textangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["textangle"]
+
+    @textangle.setter
+    def textangle(self, val):
+        self["textangle"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used for `text`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textinfo
+    # --------
+    @property
+    def textinfo(self):
+        """
+        Determines which trace information appear on the graph. In the
+        case of having multiple waterfalls, totals are computed
+        separately (per trace).
+    
+        The 'textinfo' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['label', 'text', 'initial', 'delta', 'final'] joined with '+' characters
+            (e.g. 'label+text')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["textinfo"]
+
+    @textinfo.setter
+    def textinfo(self, val):
+        self["textinfo"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Specifies the location of the `text`. "inside" positions `text`
+        inside, next to the bar end (rotated and scaled if needed).
+        "outside" positions `text` outside, next to the bar end (scaled
+        if needed), unless there is another bar stacked on this one,
+        then the text gets pushed inside. "auto" tries to position
+        `text` inside the bar, but if the bar is too small and no bar
+        is stacked on this one the text is moved outside.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['inside', 'outside', 'auto', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # textpositionsrc
+    # ---------------
+    @property
+    def textpositionsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        textposition .
+    
+        The 'textpositionsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textpositionsrc"]
+
+    @textpositionsrc.setter
+    def textpositionsrc(self, val):
+        self["textpositionsrc"] = val
+
+    # textsrc
+    # -------
+    @property
+    def textsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  text .
+    
+        The 'textsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["textsrc"]
+
+    @textsrc.setter
+    def textsrc(self, val):
+        self["textsrc"] = val
+
+    # texttemplate
+    # ------------
+    @property
+    def texttemplate(self):
+        """
+        Template string used for rendering the information text that
+        appear on points. Note that this will override `textinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. Every attributes that can be
+        specified per-point (the ones that are `arrayOk: true`) are
+        available. variables `initial`, `delta`, `final` and `label`.
+    
+        The 'texttemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["texttemplate"]
+
+    @texttemplate.setter
+    def texttemplate(self, val):
+        self["texttemplate"] = val
+
+    # texttemplatesrc
+    # ---------------
+    @property
+    def texttemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        texttemplate .
+    
+        The 'texttemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["texttemplatesrc"]
+
+    @texttemplatesrc.setter
+    def texttemplatesrc(self, val):
+        self["texttemplatesrc"] = val
+
+    # totals
+    # ------
+    @property
+    def totals(self):
+        """
+        The 'totals' property is an instance of Totals
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.Totals`
+          - A dict of string/value properties that will be passed
+            to the Totals constructor
+    
+            Supported dict properties:
+                
+                marker
+                    :class:`plotly.graph_objects.waterfall.totals.M
+                    arker` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.Totals
+        """
+        return self["totals"]
+
+    @totals.setter
+    def totals(self, val):
+        self["totals"] = val
+
+    # uid
+    # ---
+    @property
+    def uid(self):
+        """
+        Assign an id to this trace, Use this to provide object
+        constancy between traces during animations and transitions.
+    
+        The 'uid' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["uid"]
+
+    @uid.setter
+    def uid(self, val):
+        self["uid"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of some user-driven changes to the trace:
+        `constraintrange` in `parcoords` traces, as well as some
+        `editable: true` modifications such as `name` and
+        `colorbar.title`. Defaults to `layout.uirevision`. Note that
+        other user-driven trace attribute changes are controlled by
+        `layout` attributes: `trace.visible` is controlled by
+        `layout.legend.uirevision`, `selectedpoints` is controlled by
+        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
+        with `config: {editable: true}`) is controlled by
+        `layout.editrevision`. Trace changes are tracked by `uid`,
+        which only falls back on trace index if no `uid` is provided.
+        So if your app can add/remove traces before the end of the
+        `data` array, such that the same trace has a different index,
+        you can still preserve user-driven changes if you give each
+        trace a `uid` that stays with it as it moves.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this trace is visible. If
+        "legendonly", the trace is not drawn, but can appear as a
+        legend item (provided that the legend itself is visible).
+    
+        The 'visible' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'legendonly']
+
+        Returns
+        -------
+        Any
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the bar width (in position axis units).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x coordinates.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Alternate to `x`. Builds a linear space of x coordinates. Use
+        with `dx` where `x0` is the starting coordinate and `dx` the
+        step.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        Sets a reference between this trace's x coordinates and a 2D
+        cartesian x axis. If "x" (the default value), the x coordinates
+        refer to `layout.xaxis`. If "x2", the x coordinates refer to
+        `layout.xaxis2`, and so on.
+    
+        The 'xaxis' property is an identifier of a particular
+        subplot, of type 'x', that may be specified as the string 'x'
+        optionally followed by an integer >= 1
+        (e.g. 'x', 'x1', 'x2', 'x3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y coordinates.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Alternate to `y`. Builds a linear space of y coordinates. Use
+        with `dy` where `y0` is the starting coordinate and `dy` the
+        step.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        Sets a reference between this trace's y coordinates and a 2D
+        cartesian y axis. If "y" (the default value), the y coordinates
+        refer to `layout.yaxis`. If "y2", the y coordinates refer to
+        `layout.yaxis2`, and so on.
+    
+        The 'yaxis' property is an identifier of a particular
+        subplot, of type 'y', that may be specified as the string 'y'
+        optionally followed by an integer >= 1
+        (e.g. 'y', 'y1', 'y2', 'y3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        return self._props["type"]
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        base
+            Sets where the bar base is drawn (in position axis
+            units).
+        cliponaxis
+            Determines whether the text nodes are clipped about the
+            subplot axes. To show the text nodes above axis lines
+            and tick labels, make sure to set `xaxis.layer` and
+            `yaxis.layer` to *below traces*.
+        connector
+            :class:`plotly.graph_objects.waterfall.Connector`
+            instance or dict with compatible properties
+        constraintext
+            Constrain the size of text inside or outside a bar to
+            be no larger than the bar itself.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        decreasing
+            :class:`plotly.graph_objects.waterfall.Decreasing`
+            instance or dict with compatible properties
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.waterfall.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `initial`, `delta` and
+            `final`. Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        increasing
+            :class:`plotly.graph_objects.waterfall.Increasing`
+            instance or dict with compatible properties
+        insidetextanchor
+            Determines if texts are kept at center or start/end
+            points in `textposition` "inside" mode.
+        insidetextfont
+            Sets the font used for `text` lying inside the bar.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        measure
+            An array containing types of values. By default the
+            values are considered as 'relative'. However; it is
+            possible to use 'total' to compute the sums. Also
+            'absolute' could be applied to reset the computed total
+            or to declare an initial value where needed.
+        measuresrc
+            Sets the source reference on Chart Studio Cloud for
+            measure .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the position where the bar is drawn (in position
+            axis units). In "group" barmode, traces that set
+            "offset" will be excluded and drawn in "overlay" mode
+            instead.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        offsetsrc
+            Sets the source reference on Chart Studio Cloud for
+            offset .
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the bars. With "v" ("h"), the
+            value of the each bar spans along the vertical
+            (horizontal).
+        outsidetextfont
+            Sets the font used for `text` lying outside the bar.
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.waterfall.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textangle
+            Sets the angle of the tick labels with respect to the
+            bar. For example, a `tickangle` of -90 draws the tick
+            labels vertically. With "auto" the texts may
+            automatically be rotated to fit with the maximum size
+            in bars.
+        textfont
+            Sets the font used for `text`.
+        textinfo
+            Determines which trace information appear on the graph.
+            In the case of having multiple waterfalls, totals are
+            computed separately (per trace).
+        textposition
+            Specifies the location of the `text`. "inside"
+            positions `text` inside, next to the bar end (rotated
+            and scaled if needed). "outside" positions `text`
+            outside, next to the bar end (scaled if needed), unless
+            there is another bar stacked on this one, then the text
+            gets pushed inside. "auto" tries to position `text`
+            inside the bar, but if the bar is too small and no bar
+            is stacked on this one the text is moved outside.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `initial`,
+            `delta`, `final` and `label`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        totals
+            :class:`plotly.graph_objects.waterfall.Totals` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar width (in position axis units).
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        alignmentgroup=None,
+        base=None,
+        cliponaxis=None,
+        connector=None,
+        constraintext=None,
+        customdata=None,
+        customdatasrc=None,
+        decreasing=None,
+        dx=None,
+        dy=None,
+        hoverinfo=None,
+        hoverinfosrc=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        hovertext=None,
+        hovertextsrc=None,
+        ids=None,
+        idssrc=None,
+        increasing=None,
+        insidetextanchor=None,
+        insidetextfont=None,
+        legendgroup=None,
+        measure=None,
+        measuresrc=None,
+        meta=None,
+        metasrc=None,
+        name=None,
+        offset=None,
+        offsetgroup=None,
+        offsetsrc=None,
+        opacity=None,
+        orientation=None,
+        outsidetextfont=None,
+        selectedpoints=None,
+        showlegend=None,
+        stream=None,
+        text=None,
+        textangle=None,
+        textfont=None,
+        textinfo=None,
+        textposition=None,
+        textpositionsrc=None,
+        textsrc=None,
+        texttemplate=None,
+        texttemplatesrc=None,
+        totals=None,
+        uid=None,
+        uirevision=None,
+        visible=None,
+        width=None,
+        widthsrc=None,
+        x=None,
+        x0=None,
+        xaxis=None,
+        xsrc=None,
+        y=None,
+        y0=None,
+        yaxis=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Waterfall object
+        
+        Draws waterfall trace which is useful graph to displays the
+        contribution of various elements (either positive or negative)
+        in a bar chart. The data visualized by the span of the bars is
+        set in `y` if `orientation` is set th "v" (the default) and the
+        labels are set in `x`. By setting `orientation` to "h", the
+        roles are interchanged.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.Waterfall`
+        alignmentgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same alignmentgroup. This controls
+            whether bars compute their positional range dependently
+            or independently.
+        base
+            Sets where the bar base is drawn (in position axis
+            units).
+        cliponaxis
+            Determines whether the text nodes are clipped about the
+            subplot axes. To show the text nodes above axis lines
+            and tick labels, make sure to set `xaxis.layer` and
+            `yaxis.layer` to *below traces*.
+        connector
+            :class:`plotly.graph_objects.waterfall.Connector`
+            instance or dict with compatible properties
+        constraintext
+            Constrain the size of text inside or outside a bar to
+            be no larger than the bar itself.
+        customdata
+            Assigns extra data each datum. This may be useful when
+            listening to hover, click and selection events. Note
+            that, "scatter" traces also appends customdata items in
+            the markers DOM elements
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        decreasing
+            :class:`plotly.graph_objects.waterfall.Decreasing`
+            instance or dict with compatible properties
+        dx
+            Sets the x coordinate step. See `x0` for more info.
+        dy
+            Sets the y coordinate step. See `y0` for more info.
+        hoverinfo
+            Determines which trace information appear on hover. If
+            `none` or `skip` are set, no information is displayed
+            upon hovering. But, if `none` is set, click and hover
+            events are still fired.
+        hoverinfosrc
+            Sets the source reference on Chart Studio Cloud for
+            hoverinfo .
+        hoverlabel
+            :class:`plotly.graph_objects.waterfall.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `initial`, `delta` and
+            `final`. Anything contained in tag `<extra>` is
+            displayed in the secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        hovertext
+            Sets hover text elements associated with each (x,y)
+            pair. If a single string, the same string appears over
+            all the data points. If an array of string, the items
+            are mapped in order to the this trace's (x,y)
+            coordinates. To be seen, trace `hoverinfo` must contain
+            a "text" flag.
+        hovertextsrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertext .
+        ids
+            Assigns id labels to each datum. These ids for object
+            constancy of data points during animation. Should be an
+            array of strings, not numbers or any other type.
+        idssrc
+            Sets the source reference on Chart Studio Cloud for
+            ids .
+        increasing
+            :class:`plotly.graph_objects.waterfall.Increasing`
+            instance or dict with compatible properties
+        insidetextanchor
+            Determines if texts are kept at center or start/end
+            points in `textposition` "inside" mode.
+        insidetextfont
+            Sets the font used for `text` lying inside the bar.
+        legendgroup
+            Sets the legend group for this trace. Traces part of
+            the same legend group hide/show at the same time when
+            toggling legend items.
+        measure
+            An array containing types of values. By default the
+            values are considered as 'relative'. However; it is
+            possible to use 'total' to compute the sums. Also
+            'absolute' could be applied to reset the computed total
+            or to declare an initial value where needed.
+        measuresrc
+            Sets the source reference on Chart Studio Cloud for
+            measure .
+        meta
+            Assigns extra meta information associated with this
+            trace that can be used in various text attributes.
+            Attributes such as trace `name`, graph, axis and
+            colorbar `title.text`, annotation `text`
+            `rangeselector`, `updatemenues` and `sliders` `label`
+            text all support `meta`. To access the trace `meta`
+            values in an attribute in the same trace, simply use
+            `%{meta[i]}` where `i` is the index or key of the
+            `meta` item in question. To access trace `meta` in
+            layout attributes, use `%{data[n[.meta[i]}` where `i`
+            is the index or key of the `meta` and `n` is the trace
+            index.
+        metasrc
+            Sets the source reference on Chart Studio Cloud for
+            meta .
+        name
+            Sets the trace name. The trace name appear as the
+            legend item and on hover.
+        offset
+            Shifts the position where the bar is drawn (in position
+            axis units). In "group" barmode, traces that set
+            "offset" will be excluded and drawn in "overlay" mode
+            instead.
+        offsetgroup
+            Set several traces linked to the same position axis or
+            matching axes to the same offsetgroup where bars of the
+            same position coordinate will line up.
+        offsetsrc
+            Sets the source reference on Chart Studio Cloud for
+            offset .
+        opacity
+            Sets the opacity of the trace.
+        orientation
+            Sets the orientation of the bars. With "v" ("h"), the
+            value of the each bar spans along the vertical
+            (horizontal).
+        outsidetextfont
+            Sets the font used for `text` lying outside the bar.
+        selectedpoints
+            Array containing integer indices of selected points.
+            Has an effect only for traces that support selections.
+            Note that an empty array means an empty selection where
+            the `unselected` are turned on for all points, whereas,
+            any other non-array values means no selection all where
+            the `selected` and `unselected` styles have no effect.
+        showlegend
+            Determines whether or not an item corresponding to this
+            trace is shown in the legend.
+        stream
+            :class:`plotly.graph_objects.waterfall.Stream` instance
+            or dict with compatible properties
+        text
+            Sets text elements associated with each (x,y) pair. If
+            a single string, the same string appears over all the
+            data points. If an array of string, the items are
+            mapped in order to the this trace's (x,y) coordinates.
+            If trace `hoverinfo` contains a "text" flag and
+            "hovertext" is not set, these elements will be seen in
+            the hover labels.
+        textangle
+            Sets the angle of the tick labels with respect to the
+            bar. For example, a `tickangle` of -90 draws the tick
+            labels vertically. With "auto" the texts may
+            automatically be rotated to fit with the maximum size
+            in bars.
+        textfont
+            Sets the font used for `text`.
+        textinfo
+            Determines which trace information appear on the graph.
+            In the case of having multiple waterfalls, totals are
+            computed separately (per trace).
+        textposition
+            Specifies the location of the `text`. "inside"
+            positions `text` inside, next to the bar end (rotated
+            and scaled if needed). "outside" positions `text`
+            outside, next to the bar end (scaled if needed), unless
+            there is another bar stacked on this one, then the text
+            gets pushed inside. "auto" tries to position `text`
+            inside the bar, but if the bar is too small and no bar
+            is stacked on this one the text is moved outside.
+        textpositionsrc
+            Sets the source reference on Chart Studio Cloud for
+            textposition .
+        textsrc
+            Sets the source reference on Chart Studio Cloud for
+            text .
+        texttemplate
+            Template string used for rendering the information text
+            that appear on points. Note that this will override
+            `textinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. Every attributes
+            that can be specified per-point (the ones that are
+            `arrayOk: true`) are available. variables `initial`,
+            `delta`, `final` and `label`.
+        texttemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            texttemplate .
+        totals
+            :class:`plotly.graph_objects.waterfall.Totals` instance
+            or dict with compatible properties
+        uid
+            Assign an id to this trace, Use this to provide object
+            constancy between traces during animations and
+            transitions.
+        uirevision
+            Controls persistence of some user-driven changes to the
+            trace: `constraintrange` in `parcoords` traces, as well
+            as some `editable: true` modifications such as `name`
+            and `colorbar.title`. Defaults to `layout.uirevision`.
+            Note that other user-driven trace attribute changes are
+            controlled by `layout` attributes: `trace.visible` is
+            controlled by `layout.legend.uirevision`,
+            `selectedpoints` is controlled by
+            `layout.selectionrevision`, and `colorbar.(x|y)`
+            (accessible with `config: {editable: true}`) is
+            controlled by `layout.editrevision`. Trace changes are
+            tracked by `uid`, which only falls back on trace index
+            if no `uid` is provided. So if your app can add/remove
+            traces before the end of the `data` array, such that
+            the same trace has a different index, you can still
+            preserve user-driven changes if you give each trace a
+            `uid` that stays with it as it moves.
+        visible
+            Determines whether or not this trace is visible. If
+            "legendonly", the trace is not drawn, but can appear as
+            a legend item (provided that the legend itself is
+            visible).
+        width
+            Sets the bar width (in position axis units).
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        x
+            Sets the x coordinates.
+        x0
+            Alternate to `x`. Builds a linear space of x
+            coordinates. Use with `dx` where `x0` is the starting
+            coordinate and `dx` the step.
+        xaxis
+            Sets a reference between this trace's x coordinates and
+            a 2D cartesian x axis. If "x" (the default value), the
+            x coordinates refer to `layout.xaxis`. If "x2", the x
+            coordinates refer to `layout.xaxis2`, and so on.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y coordinates.
+        y0
+            Alternate to `y`. Builds a linear space of y
+            coordinates. Use with `dy` where `y0` is the starting
+            coordinate and `dy` the step.
+        yaxis
+            Sets a reference between this trace's y coordinates and
+            a 2D cartesian y axis. If "y" (the default value), the
+            y coordinates refer to `layout.yaxis`. If "y2", the y
+            coordinates refer to `layout.yaxis2`, and so on.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Waterfall
+        """
+        super(Waterfall, self).__init__("waterfall")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.Waterfall 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.Waterfall`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("alignmentgroup", None)
+        _v = alignmentgroup if alignmentgroup is not None else _v
+        if _v is not None:
+            self["alignmentgroup"] = _v
+        _v = arg.pop("base", None)
+        _v = base if base is not None else _v
+        if _v is not None:
+            self["base"] = _v
+        _v = arg.pop("cliponaxis", None)
+        _v = cliponaxis if cliponaxis is not None else _v
+        if _v is not None:
+            self["cliponaxis"] = _v
+        _v = arg.pop("connector", None)
+        _v = connector if connector is not None else _v
+        if _v is not None:
+            self["connector"] = _v
+        _v = arg.pop("constraintext", None)
+        _v = constraintext if constraintext is not None else _v
+        if _v is not None:
+            self["constraintext"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("decreasing", None)
+        _v = decreasing if decreasing is not None else _v
+        if _v is not None:
+            self["decreasing"] = _v
+        _v = arg.pop("dx", None)
+        _v = dx if dx is not None else _v
+        if _v is not None:
+            self["dx"] = _v
+        _v = arg.pop("dy", None)
+        _v = dy if dy is not None else _v
+        if _v is not None:
+            self["dy"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverinfosrc", None)
+        _v = hoverinfosrc if hoverinfosrc is not None else _v
+        if _v is not None:
+            self["hoverinfosrc"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("hovertextsrc", None)
+        _v = hovertextsrc if hovertextsrc is not None else _v
+        if _v is not None:
+            self["hovertextsrc"] = _v
+        _v = arg.pop("ids", None)
+        _v = ids if ids is not None else _v
+        if _v is not None:
+            self["ids"] = _v
+        _v = arg.pop("idssrc", None)
+        _v = idssrc if idssrc is not None else _v
+        if _v is not None:
+            self["idssrc"] = _v
+        _v = arg.pop("increasing", None)
+        _v = increasing if increasing is not None else _v
+        if _v is not None:
+            self["increasing"] = _v
+        _v = arg.pop("insidetextanchor", None)
+        _v = insidetextanchor if insidetextanchor is not None else _v
+        if _v is not None:
+            self["insidetextanchor"] = _v
+        _v = arg.pop("insidetextfont", None)
+        _v = insidetextfont if insidetextfont is not None else _v
+        if _v is not None:
+            self["insidetextfont"] = _v
+        _v = arg.pop("legendgroup", None)
+        _v = legendgroup if legendgroup is not None else _v
+        if _v is not None:
+            self["legendgroup"] = _v
+        _v = arg.pop("measure", None)
+        _v = measure if measure is not None else _v
+        if _v is not None:
+            self["measure"] = _v
+        _v = arg.pop("measuresrc", None)
+        _v = measuresrc if measuresrc is not None else _v
+        if _v is not None:
+            self["measuresrc"] = _v
+        _v = arg.pop("meta", None)
+        _v = meta if meta is not None else _v
+        if _v is not None:
+            self["meta"] = _v
+        _v = arg.pop("metasrc", None)
+        _v = metasrc if metasrc is not None else _v
+        if _v is not None:
+            self["metasrc"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("offsetgroup", None)
+        _v = offsetgroup if offsetgroup is not None else _v
+        if _v is not None:
+            self["offsetgroup"] = _v
+        _v = arg.pop("offsetsrc", None)
+        _v = offsetsrc if offsetsrc is not None else _v
+        if _v is not None:
+            self["offsetsrc"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("outsidetextfont", None)
+        _v = outsidetextfont if outsidetextfont is not None else _v
+        if _v is not None:
+            self["outsidetextfont"] = _v
+        _v = arg.pop("selectedpoints", None)
+        _v = selectedpoints if selectedpoints is not None else _v
+        if _v is not None:
+            self["selectedpoints"] = _v
+        _v = arg.pop("showlegend", None)
+        _v = showlegend if showlegend is not None else _v
+        if _v is not None:
+            self["showlegend"] = _v
+        _v = arg.pop("stream", None)
+        _v = stream if stream is not None else _v
+        if _v is not None:
+            self["stream"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textangle", None)
+        _v = textangle if textangle is not None else _v
+        if _v is not None:
+            self["textangle"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textinfo", None)
+        _v = textinfo if textinfo is not None else _v
+        if _v is not None:
+            self["textinfo"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+        _v = arg.pop("textpositionsrc", None)
+        _v = textpositionsrc if textpositionsrc is not None else _v
+        if _v is not None:
+            self["textpositionsrc"] = _v
+        _v = arg.pop("textsrc", None)
+        _v = textsrc if textsrc is not None else _v
+        if _v is not None:
+            self["textsrc"] = _v
+        _v = arg.pop("texttemplate", None)
+        _v = texttemplate if texttemplate is not None else _v
+        if _v is not None:
+            self["texttemplate"] = _v
+        _v = arg.pop("texttemplatesrc", None)
+        _v = texttemplatesrc if texttemplatesrc is not None else _v
+        if _v is not None:
+            self["texttemplatesrc"] = _v
+        _v = arg.pop("totals", None)
+        _v = totals if totals is not None else _v
+        if _v is not None:
+            self["totals"] = _v
+        _v = arg.pop("uid", None)
+        _v = uid if uid is not None else _v
+        if _v is not None:
+            self["uid"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Read-only literals
+        # ------------------
+
+        self._props["type"] = "waterfall"
+        arg.pop("type", None)
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/area/__init__.py b/packages/python/plotly/plotly/graph_objs/area/__init__.py
index 5fc7fc1bb5d..0be2be714cb 100644
--- a/packages/python/plotly/plotly/graph_objs/area/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/area/__init__.py
@@ -1,1082 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "area"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.area.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.area.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.area.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.area import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Area traces are deprecated! Please switch to the "barpolar"
-        trace type. Sets themarkercolor. It accepts either a specific
-        color or an array of numbers that are mapped to the colorscale
-        relative to the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Area traces are deprecated! Please switch to the "barpolar"
-        trace type. Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Area traces are deprecated! Please switch to the "barpolar"
-        trace type. Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Area traces are deprecated! Please switch to the "barpolar"
-        trace type. Sets the marker symbol type. Adding 100 is
-        equivalent to appending "-open" to a symbol name. Adding 200 is
-        equivalent to appending "-dot" to a symbol name. Adding 300 is
-        equivalent to appending "-open-dot" or "dot-open" to a symbol
-        name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "area"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets themarkercolor. It accepts
-            either a specific color or an array of numbers that are
-            mapped to the colorscale relative to the max and min
-            values of the array or relative to `marker.cmin` and
-            `marker.cmax` if set.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        opacity
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        size
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the marker size (in px).
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the marker symbol type.
-            Adding 100 is equivalent to appending "-open" to a
-            symbol name. Adding 200 is equivalent to appending
-            "-dot" to a symbol name. Adding 300 is equivalent to
-            appending "-open-dot" or "dot-open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        opacity=None,
-        opacitysrc=None,
-        size=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.area.Marker`
-        color
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets themarkercolor. It accepts
-            either a specific color or an array of numbers that are
-            mapped to the colorscale relative to the max and min
-            values of the array or relative to `marker.cmin` and
-            `marker.cmax` if set.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        opacity
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        size
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the marker size (in px).
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Area traces are deprecated! Please switch to the
-            "barpolar" trace type. Sets the marker symbol type.
-            Adding 100 is equivalent to appending "-open" to a
-            symbol name. Adding 200 is equivalent to appending
-            "-dot" to a symbol name. Adding 300 is equivalent to
-            appending "-open-dot" or "dot-open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.area.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.area.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.area import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.area.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.area.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "area"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.area.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.area.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.area.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.area import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Hoverlabel", "Marker", "Stream", "hoverlabel"]
-
-from plotly.graph_objs.area import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel"],
+        ["._stream.Stream", "._marker.Marker", "._hoverlabel.Hoverlabel"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/area/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/area/_hoverlabel.py
new file mode 100644
index 00000000000..a4c28f033e3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/area/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "area"
+    _path_str = "area.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.area.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.area.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.area.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.area.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.area.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/area/_marker.py b/packages/python/plotly/plotly/graph_objs/area/_marker.py
new file mode 100644
index 00000000000..79cfc127a45
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/area/_marker.py
@@ -0,0 +1,461 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "area"
+    _path_str = "area.marker"
+    _valid_props = {
+        "color",
+        "colorsrc",
+        "opacity",
+        "opacitysrc",
+        "size",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Area traces are deprecated! Please switch to the "barpolar"
+        trace type. Sets themarkercolor. It accepts either a specific
+        color or an array of numbers that are mapped to the colorscale
+        relative to the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Area traces are deprecated! Please switch to the "barpolar"
+        trace type. Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Area traces are deprecated! Please switch to the "barpolar"
+        trace type. Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Area traces are deprecated! Please switch to the "barpolar"
+        trace type. Sets the marker symbol type. Adding 100 is
+        equivalent to appending "-open" to a symbol name. Adding 200 is
+        equivalent to appending "-dot" to a symbol name. Adding 300 is
+        equivalent to appending "-open-dot" or "dot-open" to a symbol
+        name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets themarkercolor. It accepts
+            either a specific color or an array of numbers that are
+            mapped to the colorscale relative to the max and min
+            values of the array or relative to `marker.cmin` and
+            `marker.cmax` if set.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        opacity
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        size
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the marker size (in px).
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the marker symbol type.
+            Adding 100 is equivalent to appending "-open" to a
+            symbol name. Adding 200 is equivalent to appending
+            "-dot" to a symbol name. Adding 300 is equivalent to
+            appending "-open-dot" or "dot-open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        opacity=None,
+        opacitysrc=None,
+        size=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.area.Marker`
+        color
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets themarkercolor. It accepts
+            either a specific color or an array of numbers that are
+            mapped to the colorscale relative to the max and min
+            values of the array or relative to `marker.cmin` and
+            `marker.cmax` if set.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        opacity
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        size
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the marker size (in px).
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Area traces are deprecated! Please switch to the
+            "barpolar" trace type. Sets the marker symbol type.
+            Adding 100 is equivalent to appending "-open" to a
+            symbol name. Adding 200 is equivalent to appending
+            "-dot" to a symbol name. Adding 300 is equivalent to
+            appending "-open-dot" or "dot-open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.area.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.area.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/area/_stream.py b/packages/python/plotly/plotly/graph_objs/area/_stream.py
new file mode 100644
index 00000000000..6f2caa90833
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/area/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "area"
+    _path_str = "area.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.area.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.area.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.area.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/area/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/area/hoverlabel/__init__.py
index 6767e726217..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/area/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/area/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "area.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.area.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.area.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.area.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.area.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/area/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/area/hoverlabel/_font.py
new file mode 100644
index 00000000000..bd4fd76140e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/area/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "area.hoverlabel"
+    _path_str = "area.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.area.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.area.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.area.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/__init__.py
index 9ec4791e5e4..8dd080a8d46 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/__init__.py
@@ -1,4133 +1,36 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.bar.unselected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.bar.unselected.Textfont`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.Unselected`
-        marker
-            :class:`plotly.graph_objects.bar.unselected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.bar.unselected.Textfont`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `text`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.bar.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.bar.selected.Textfont`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.Selected`
-        marker
-            :class:`plotly.graph_objects.bar.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.bar.selected.Textfont`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Outsidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Outsidetextfont object
-        
-        Sets the font used for `text` lying outside the bar.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.Outsidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Outsidetextfont
-        """
-        super(Outsidetextfont, self).__init__("outsidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Outsidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Outsidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import outsidetextfont as v_outsidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_outsidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_outsidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_outsidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_outsidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_outsidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_outsidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to bar.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.bar.mar
-                    ker.colorbar.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.bar.marker.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of bar.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.bar.marker.colorba
-                    r.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    bar.marker.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    bar.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.bar.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the bars.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.bar.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.bar.marker.Line` instance
-            or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.bar.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.bar.marker.Line` instance
-            or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `text` lying inside the bar.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.bar.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorY(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorY object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.ErrorY`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorY
-        """
-        super(ErrorY, self).__init__("error_y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.ErrorY 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.ErrorY`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import error_y as v_error_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_y.ArrayValidator()
-        self._validators["arrayminus"] = v_error_y.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_y.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_y.ArraysrcValidator()
-        self._validators["color"] = v_error_y.ColorValidator()
-        self._validators["symmetric"] = v_error_y.SymmetricValidator()
-        self._validators["thickness"] = v_error_y.ThicknessValidator()
-        self._validators["traceref"] = v_error_y.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_y.TracerefminusValidator()
-        self._validators["type"] = v_error_y.TypeValidator()
-        self._validators["value"] = v_error_y.ValueValidator()
-        self._validators["valueminus"] = v_error_y.ValueminusValidator()
-        self._validators["visible"] = v_error_y.VisibleValidator()
-        self._validators["width"] = v_error_y.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorX(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # copy_ystyle
-    # -----------
-    @property
-    def copy_ystyle(self):
-        """
-        The 'copy_ystyle' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["copy_ystyle"]
-
-    @copy_ystyle.setter
-    def copy_ystyle(self, val):
-        self["copy_ystyle"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        copy_ystyle=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorX object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.ErrorX`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorX
-        """
-        super(ErrorX, self).__init__("error_x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.ErrorX 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.ErrorX`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar import error_x as v_error_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_x.ArrayValidator()
-        self._validators["arrayminus"] = v_error_x.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_x.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_x.ArraysrcValidator()
-        self._validators["color"] = v_error_x.ColorValidator()
-        self._validators["copy_ystyle"] = v_error_x.CopyYstyleValidator()
-        self._validators["symmetric"] = v_error_x.SymmetricValidator()
-        self._validators["thickness"] = v_error_x.ThicknessValidator()
-        self._validators["traceref"] = v_error_x.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_x.TracerefminusValidator()
-        self._validators["type"] = v_error_x.TypeValidator()
-        self._validators["value"] = v_error_x.ValueValidator()
-        self._validators["valueminus"] = v_error_x.ValueminusValidator()
-        self._validators["visible"] = v_error_x.VisibleValidator()
-        self._validators["width"] = v_error_x.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("copy_ystyle", None)
-        self["copy_ystyle"] = copy_ystyle if copy_ystyle is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ErrorX",
-    "ErrorY",
-    "Hoverlabel",
-    "Insidetextfont",
-    "Marker",
-    "Outsidetextfont",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.bar import unselected
-from plotly.graph_objs.bar import selected
-from plotly.graph_objs.bar import marker
-from plotly.graph_objs.bar import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._outsidetextfont import Outsidetextfont
+    from ._marker import Marker
+    from ._insidetextfont import Insidetextfont
+    from ._hoverlabel import Hoverlabel
+    from ._error_y import ErrorY
+    from ._error_x import ErrorX
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._outsidetextfont.Outsidetextfont",
+            "._marker.Marker",
+            "._insidetextfont.Insidetextfont",
+            "._hoverlabel.Hoverlabel",
+            "._error_y.ErrorY",
+            "._error_x.ErrorX",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_error_x.py b/packages/python/plotly/plotly/graph_objs/bar/_error_x.py
new file mode 100644
index 00000000000..401704e31c3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_error_x.py
@@ -0,0 +1,628 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorX(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.error_x"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "copy_ystyle",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # copy_ystyle
+    # -----------
+    @property
+    def copy_ystyle(self):
+        """
+        The 'copy_ystyle' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["copy_ystyle"]
+
+    @copy_ystyle.setter
+    def copy_ystyle(self, val):
+        self["copy_ystyle"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        copy_ystyle=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorX object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.ErrorX`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorX
+        """
+        super(ErrorX, self).__init__("error_x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.ErrorX 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.ErrorX`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("copy_ystyle", None)
+        _v = copy_ystyle if copy_ystyle is not None else _v
+        if _v is not None:
+            self["copy_ystyle"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_error_y.py b/packages/python/plotly/plotly/graph_objs/bar/_error_y.py
new file mode 100644
index 00000000000..6d1e12a5cf9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_error_y.py
@@ -0,0 +1,600 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorY(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.error_y"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorY object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.ErrorY`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorY
+        """
+        super(ErrorY, self).__init__("error_y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.ErrorY 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.ErrorY`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/bar/_hoverlabel.py
new file mode 100644
index 00000000000..839637f848c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.bar.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/bar/_insidetextfont.py
new file mode 100644
index 00000000000..485641895d5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `text` lying inside the bar.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_marker.py b/packages/python/plotly/plotly/graph_objs/bar/_marker.py
new file mode 100644
index 00000000000..302164eda17
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_marker.py
@@ -0,0 +1,1051 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to bar.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.bar.mar
+                    ker.colorbar.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.bar.marker.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of bar.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.bar.marker.colorba
+                    r.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    bar.marker.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    bar.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.bar.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the bars.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.bar.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.bar.marker.Line` instance
+            or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.bar.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.bar.marker.Line` instance
+            or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_outsidetextfont.py b/packages/python/plotly/plotly/graph_objs/bar/_outsidetextfont.py
new file mode 100644
index 00000000000..1d7ef6e93a7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_outsidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Outsidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.outsidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Outsidetextfont object
+        
+        Sets the font used for `text` lying outside the bar.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.Outsidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Outsidetextfont
+        """
+        super(Outsidetextfont, self).__init__("outsidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Outsidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Outsidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_selected.py b/packages/python/plotly/plotly/graph_objs/bar/_selected.py
new file mode 100644
index 00000000000..9e05264ada6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_selected.py
@@ -0,0 +1,143 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.bar.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.bar.selected.Textfont`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.Selected`
+        marker
+            :class:`plotly.graph_objects.bar.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.bar.selected.Textfont`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_stream.py b/packages/python/plotly/plotly/graph_objs/bar/_stream.py
new file mode 100644
index 00000000000..f639bdbf3db
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_textfont.py b/packages/python/plotly/plotly/graph_objs/bar/_textfont.py
new file mode 100644
index 00000000000..affc5ab2a0c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_textfont.py
@@ -0,0 +1,328 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `text`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/_unselected.py b/packages/python/plotly/plotly/graph_objs/bar/_unselected.py
new file mode 100644
index 00000000000..c92949b9ffd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/_unselected.py
@@ -0,0 +1,147 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar"
+    _path_str = "bar.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.bar.unselected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.bar.unselected.Textfont`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.Unselected`
+        marker
+            :class:`plotly.graph_objects.bar.unselected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.bar.unselected.Textfont`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/__init__.py
index 47e1f9a2b75..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/_font.py
new file mode 100644
index 00000000000..182f596e052
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.hoverlabel"
+    _path_str = "bar.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/marker/__init__.py
index 6d5f32e033b..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/__init__.py
@@ -1,2506 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to bar.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.bar.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.bar.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.bar.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.bar.marker.col
-        orbar.tickformatstopdefaults), sets the default property values
-        to use for elements of bar.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.bar.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.bar.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use bar.marker.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use bar.marker.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.bar.marker.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.bar.ma
-            rker.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            bar.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.bar.marker.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use bar.marker.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use bar.marker.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.bar.marker.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.bar.ma
-            rker.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            bar.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.bar.marker.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use bar.marker.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use bar.marker.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.bar.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py
new file mode 100644
index 00000000000..52c8dfc11d2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py
@@ -0,0 +1,1939 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.marker"
+    _path_str = "bar.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.bar.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.bar.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.bar.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.bar.marker.col
+        orbar.tickformatstopdefaults), sets the default property values
+        to use for elements of bar.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.bar.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.bar.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use bar.marker.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use bar.marker.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.bar.marker.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.bar.ma
+            rker.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            bar.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.bar.marker.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use bar.marker.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use bar.marker.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.bar.marker.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.bar.ma
+            rker.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            bar.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.bar.marker.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use bar.marker.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use bar.marker.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/_line.py b/packages/python/plotly/plotly/graph_objs/bar/marker/_line.py
new file mode 100644
index 00000000000..b9ab25dbd97
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.marker"
+    _path_str = "bar.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to bar.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/__init__.py
index 2b45347d0cf..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.bar.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.marker.col
-            orbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.marker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.bar.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..2e176ce37d3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.marker.colorbar"
+    _path_str = "bar.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.marker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..79cc835b43b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.marker.colorbar"
+    _path_str = "bar.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.marker.col
+            orbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_title.py
new file mode 100644
index 00000000000..db1d25edfb4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.marker.colorbar"
+    _path_str = "bar.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.bar.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.bar.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/__init__.py
index 9eccf4c7e5f..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.bar.marker.col
-            orbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..a201578c4b5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.marker.colorbar.title"
+    _path_str = "bar.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.bar.marker.col
+            orbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/selected/__init__.py
index 7eae5c02bc3..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/selected/__init__.py
@@ -1,310 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/bar/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/bar/selected/_marker.py
new file mode 100644
index 00000000000..999361edffe
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/selected/_marker.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.selected"
+    _path_str = "bar.selected.marker"
+    _valid_props = {"color", "opacity"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/bar/selected/_textfont.py
new file mode 100644
index 00000000000..2589b7025c0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.selected"
+    _path_str = "bar.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/bar/unselected/__init__.py
index 224457087d5..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/bar/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/bar/unselected/__init__.py
@@ -1,319 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.unselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "bar.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.bar.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.bar.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.bar.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.bar.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/bar/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/bar/unselected/_marker.py
new file mode 100644
index 00000000000..3beace7627d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/unselected/_marker.py
@@ -0,0 +1,171 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.unselected"
+    _path_str = "bar.unselected.marker"
+    _valid_props = {"color", "opacity"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/bar/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/bar/unselected/_textfont.py
new file mode 100644
index 00000000000..05bedca940d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/bar/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "bar.unselected"
+    _path_str = "bar.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.bar.unselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.bar.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.bar.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/__init__.py
index 23c43b9877a..54ebb36a728 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/__init__.py
@@ -1,1971 +1,26 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.barpolar.unselected.Marker
-            ` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.barpolar.unselected.Textfo
-            nt` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.Unselected`
-        marker
-            :class:`plotly.graph_objects.barpolar.unselected.Marker
-            ` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.barpolar.unselected.Textfo
-            nt` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.barpolar.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.barpolar.selected.Textfont
-            ` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.Selected`
-        marker
-            :class:`plotly.graph_objects.barpolar.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.barpolar.selected.Textfont
-            ` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to barpolar.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.barpola
-                    r.marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.barpolar.marker.colorbar.tickformatstopdefaul
-                    ts), sets the default property values to use
-                    for elements of
-                    barpolar.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.barpolar.marker.co
-                    lorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    barpolar.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    barpolar.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the bars.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.barpolar.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.barpolar.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.barpolar.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.barpolar.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.barpolar import unselected
-from plotly.graph_objs.barpolar import selected
-from plotly.graph_objs.barpolar import marker
-from plotly.graph_objs.barpolar import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/barpolar/_hoverlabel.py
new file mode 100644
index 00000000000..029ac2bd7c1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar"
+    _path_str = "barpolar.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/_marker.py b/packages/python/plotly/plotly/graph_objs/barpolar/_marker.py
new file mode 100644
index 00000000000..d13dd8d862f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/_marker.py
@@ -0,0 +1,1053 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar"
+    _path_str = "barpolar.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to barpolar.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.barpola
+                    r.marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.barpolar.marker.colorbar.tickformatstopdefaul
+                    ts), sets the default property values to use
+                    for elements of
+                    barpolar.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.barpolar.marker.co
+                    lorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    barpolar.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    barpolar.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the bars.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.barpolar.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.barpolar.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.barpolar.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.barpolar.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/_selected.py b/packages/python/plotly/plotly/graph_objs/barpolar/_selected.py
new file mode 100644
index 00000000000..90d26db6da2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/_selected.py
@@ -0,0 +1,144 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar"
+    _path_str = "barpolar.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.barpolar.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.barpolar.selected.Textfont
+            ` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.Selected`
+        marker
+            :class:`plotly.graph_objects.barpolar.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.barpolar.selected.Textfont
+            ` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/_stream.py b/packages/python/plotly/plotly/graph_objs/barpolar/_stream.py
new file mode 100644
index 00000000000..3e7c1de965c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar"
+    _path_str = "barpolar.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/_unselected.py b/packages/python/plotly/plotly/graph_objs/barpolar/_unselected.py
new file mode 100644
index 00000000000..166fd3325d2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/_unselected.py
@@ -0,0 +1,147 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar"
+    _path_str = "barpolar.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.barpolar.unselected.Marker
+            ` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.barpolar.unselected.Textfo
+            nt` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.Unselected`
+        marker
+            :class:`plotly.graph_objects.barpolar.unselected.Marker
+            ` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.barpolar.unselected.Textfo
+            nt` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/__init__.py
index 2a73d38cd75..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/_font.py
new file mode 100644
index 00000000000..ac176f83014
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.hoverlabel"
+    _path_str = "barpolar.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/__init__.py
index d9197ef5a38..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/__init__.py
@@ -1,2508 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to barpolar.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.barpolar.marke
-        r.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        barpolar.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use barpolar.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use barpolar.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.barpolar.marker
-            .colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.barpol
-            ar.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            barpolar.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.barpolar.marker.colorbar.T
-            itle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            barpolar.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            barpolar.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.barpolar.marker
-            .colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.barpol
-            ar.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            barpolar.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.barpolar.marker.colorbar.T
-            itle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            barpolar.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            barpolar.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.barpolar.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/_colorbar.py
new file mode 100644
index 00000000000..1eca08af27d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.marker"
+    _path_str = "barpolar.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.barpolar.marke
+        r.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        barpolar.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use barpolar.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use barpolar.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.barpolar.marker
+            .colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.barpol
+            ar.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            barpolar.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.barpolar.marker.colorbar.T
+            itle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            barpolar.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            barpolar.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.barpolar.marker
+            .colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.barpol
+            ar.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            barpolar.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.barpolar.marker.colorbar.T
+            itle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            barpolar.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            barpolar.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/_line.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/_line.py
new file mode 100644
index 00000000000..a65394895c0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.marker"
+    _path_str = "barpolar.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to barpolar.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/__init__.py
index d39c8c8b1db..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.barpolar.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.barpolar.marke
-            r.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.barpolar.marke
-            r.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.barpolar.marke
-            r.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.barpolar.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..2621f91c7d7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.marker.colorbar"
+    _path_str = "barpolar.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.barpolar.marke
+            r.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..9a3c14f8d00
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.marker.colorbar"
+    _path_str = "barpolar.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.barpolar.marke
+            r.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_title.py
new file mode 100644
index 00000000000..c2bd9453249
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.marker.colorbar"
+    _path_str = "barpolar.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.barpolar.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.barpolar.marke
+            r.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/__init__.py
index d9f08fdd18a..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.barpolar.marke
-            r.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..885ebbc61a4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.marker.colorbar.title"
+    _path_str = "barpolar.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.barpolar.marke
+            r.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/selected/__init__.py
index f828d37670f..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/selected/__init__.py
@@ -1,310 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/barpolar/selected/_marker.py
new file mode 100644
index 00000000000..00c3b94f608
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/selected/_marker.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.selected"
+    _path_str = "barpolar.selected.marker"
+    _valid_props = {"color", "opacity"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/barpolar/selected/_textfont.py
new file mode 100644
index 00000000000..50b2c42c6cd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.selected"
+    _path_str = "barpolar.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/barpolar/unselected/__init__.py
index c8be9004256..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/barpolar/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/unselected/__init__.py
@@ -1,319 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.unselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "barpolar.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.barpolar.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.barpolar.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.barpolar.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.barpolar.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/barpolar/unselected/_marker.py
new file mode 100644
index 00000000000..c7ea2fb1e46
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/unselected/_marker.py
@@ -0,0 +1,171 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.unselected"
+    _path_str = "barpolar.unselected.marker"
+    _valid_props = {"color", "opacity"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/barpolar/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/barpolar/unselected/_textfont.py
new file mode 100644
index 00000000000..5d09d6bc17f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/barpolar/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "barpolar.unselected"
+    _path_str = "barpolar.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.barpolar.unselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.barpolar.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.barpolar.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/__init__.py b/packages/python/plotly/plotly/graph_objs/box/__init__.py
index 1fbe5c5dd38..e50dbc5239a 100644
--- a/packages/python/plotly/plotly/graph_objs/box/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/box/__init__.py
@@ -1,1473 +1,28 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.box.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.box.unselected.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.box.Unselected`
-        marker
-            :class:`plotly.graph_objects.box.unselected.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.box.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.box.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.box.selected.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.box.Selected`
-        marker
-            :class:`plotly.graph_objects.box.selected.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                outliercolor
-                    Sets the border line color of the outlier
-                    sample points. Defaults to marker.color
-                outlierwidth
-                    Sets the border line width (in px) of the
-                    outlier sample points.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-
-        Returns
-        -------
-        plotly.graph_objs.box.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # outliercolor
-    # ------------
-    @property
-    def outliercolor(self):
-        """
-        Sets the color of the outlier sample points.
-    
-        The 'outliercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outliercolor"]
-
-    @outliercolor.setter
-    def outliercolor(self, val):
-        self["outliercolor"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-
-        Returns
-        -------
-        Any
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        line
-            :class:`plotly.graph_objects.box.marker.Line` instance
-            or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        outliercolor
-            Sets the color of the outlier sample points.
-        size
-            Sets the marker size (in px).
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        line=None,
-        opacity=None,
-        outliercolor=None,
-        size=None,
-        symbol=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.box.Marker`
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        line
-            :class:`plotly.graph_objects.box.marker.Line` instance
-            or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        outliercolor
-            Sets the color of the outlier sample points.
-        size
-            Sets the marker size (in px).
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["outliercolor"] = v_marker.OutliercolorValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("outliercolor", None)
-        self["outliercolor"] = outliercolor if outliercolor is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of line bounding the box(es).
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of line bounding the box(es).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of line bounding the box(es).
-        width
-            Sets the width (in px) of line bounding the box(es).
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.box.Line`
-        color
-            Sets the color of line bounding the box(es).
-        width
-            Sets the width (in px) of line bounding the box(es).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.box.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.box.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.box.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.box import unselected
-from plotly.graph_objs.box import selected
-from plotly.graph_objs.box import marker
-from plotly.graph_objs.box import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/box/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/box/_hoverlabel.py
new file mode 100644
index 00000000000..4a2a6bbf23c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box"
+    _path_str = "box.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.box.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.box.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/_line.py b/packages/python/plotly/plotly/graph_objs/box/_line.py
new file mode 100644
index 00000000000..a78d54f5433
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/_line.py
@@ -0,0 +1,164 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box"
+    _path_str = "box.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of line bounding the box(es).
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of line bounding the box(es).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of line bounding the box(es).
+        width
+            Sets the width (in px) of line bounding the box(es).
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.box.Line`
+        color
+            Sets the color of line bounding the box(es).
+        width
+            Sets the width (in px) of line bounding the box(es).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/_marker.py b/packages/python/plotly/plotly/graph_objs/box/_marker.py
new file mode 100644
index 00000000000..decb3b27ea7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/_marker.py
@@ -0,0 +1,430 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box"
+    _path_str = "box.marker"
+    _valid_props = {"color", "line", "opacity", "outliercolor", "size", "symbol"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                outliercolor
+                    Sets the border line color of the outlier
+                    sample points. Defaults to marker.color
+                outlierwidth
+                    Sets the border line width (in px) of the
+                    outlier sample points.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+
+        Returns
+        -------
+        plotly.graph_objs.box.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # outliercolor
+    # ------------
+    @property
+    def outliercolor(self):
+        """
+        Sets the color of the outlier sample points.
+    
+        The 'outliercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outliercolor"]
+
+    @outliercolor.setter
+    def outliercolor(self, val):
+        self["outliercolor"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+
+        Returns
+        -------
+        Any
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        line
+            :class:`plotly.graph_objects.box.marker.Line` instance
+            or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        outliercolor
+            Sets the color of the outlier sample points.
+        size
+            Sets the marker size (in px).
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        line=None,
+        opacity=None,
+        outliercolor=None,
+        size=None,
+        symbol=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.box.Marker`
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        line
+            :class:`plotly.graph_objects.box.marker.Line` instance
+            or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        outliercolor
+            Sets the color of the outlier sample points.
+        size
+            Sets the marker size (in px).
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("outliercolor", None)
+        _v = outliercolor if outliercolor is not None else _v
+        if _v is not None:
+            self["outliercolor"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/_selected.py b/packages/python/plotly/plotly/graph_objs/box/_selected.py
new file mode 100644
index 00000000000..afa9a7a5c95
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/_selected.py
@@ -0,0 +1,109 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box"
+    _path_str = "box.selected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.box.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.box.selected.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.box.Selected`
+        marker
+            :class:`plotly.graph_objects.box.selected.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/_stream.py b/packages/python/plotly/plotly/graph_objs/box/_stream.py
new file mode 100644
index 00000000000..9c89538a07d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box"
+    _path_str = "box.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.box.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/_unselected.py b/packages/python/plotly/plotly/graph_objs/box/_unselected.py
new file mode 100644
index 00000000000..19727af1aad
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/_unselected.py
@@ -0,0 +1,113 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box"
+    _path_str = "box.unselected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.box.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.box.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.box.unselected.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.box.Unselected`
+        marker
+            :class:`plotly.graph_objects.box.unselected.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/box/hoverlabel/__init__.py
index 92a3d9325b4..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/box/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/box/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.box.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/box/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/box/hoverlabel/_font.py
new file mode 100644
index 00000000000..996ebeb86b5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box.hoverlabel"
+    _path_str = "box.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.box.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/box/marker/__init__.py
index 77cfb8e4fbf..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/box/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/box/marker/__init__.py
@@ -1,289 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # outliercolor
-    # ------------
-    @property
-    def outliercolor(self):
-        """
-        Sets the border line color of the outlier sample points.
-        Defaults to marker.color
-    
-        The 'outliercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outliercolor"]
-
-    @outliercolor.setter
-    def outliercolor(self, val):
-        self["outliercolor"] = val
-
-    # outlierwidth
-    # ------------
-    @property
-    def outlierwidth(self):
-        """
-        Sets the border line width (in px) of the outlier sample
-        points.
-    
-        The 'outlierwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlierwidth"]
-
-    @outlierwidth.setter
-    def outlierwidth(self, val):
-        self["outlierwidth"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        outliercolor
-            Sets the border line color of the outlier sample
-            points. Defaults to marker.color
-        outlierwidth
-            Sets the border line width (in px) of the outlier
-            sample points.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        outliercolor=None,
-        outlierwidth=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.box.marker.Line`
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        outliercolor
-            Sets the border line color of the outlier sample
-            points. Defaults to marker.color
-        outlierwidth
-            Sets the border line width (in px) of the outlier
-            sample points.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["outliercolor"] = v_line.OutliercolorValidator()
-        self._validators["outlierwidth"] = v_line.OutlierwidthValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("outliercolor", None)
-        self["outliercolor"] = outliercolor if outliercolor is not None else _v
-        _v = arg.pop("outlierwidth", None)
-        self["outlierwidth"] = outlierwidth if outlierwidth is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/box/marker/_line.py b/packages/python/plotly/plotly/graph_objs/box/marker/_line.py
new file mode 100644
index 00000000000..3d09b76b44a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/marker/_line.py
@@ -0,0 +1,287 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box.marker"
+    _path_str = "box.marker.line"
+    _valid_props = {"color", "outliercolor", "outlierwidth", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # outliercolor
+    # ------------
+    @property
+    def outliercolor(self):
+        """
+        Sets the border line color of the outlier sample points.
+        Defaults to marker.color
+    
+        The 'outliercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outliercolor"]
+
+    @outliercolor.setter
+    def outliercolor(self, val):
+        self["outliercolor"] = val
+
+    # outlierwidth
+    # ------------
+    @property
+    def outlierwidth(self):
+        """
+        Sets the border line width (in px) of the outlier sample
+        points.
+    
+        The 'outlierwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlierwidth"]
+
+    @outlierwidth.setter
+    def outlierwidth(self, val):
+        self["outlierwidth"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        outliercolor
+            Sets the border line color of the outlier sample
+            points. Defaults to marker.color
+        outlierwidth
+            Sets the border line width (in px) of the outlier
+            sample points.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        outliercolor=None,
+        outlierwidth=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.box.marker.Line`
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        outliercolor
+            Sets the border line color of the outlier sample
+            points. Defaults to marker.color
+        outlierwidth
+            Sets the border line width (in px) of the outlier
+            sample points.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("outliercolor", None)
+        _v = outliercolor if outliercolor is not None else _v
+        if _v is not None:
+            self["outliercolor"] = _v
+        _v = arg.pop("outlierwidth", None)
+        _v = outlierwidth if outlierwidth is not None else _v
+        if _v is not None:
+            self["outlierwidth"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/box/selected/__init__.py
index 55ec4d70f33..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/box/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/box/selected/__init__.py
@@ -1,196 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.box.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/box/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/box/selected/_marker.py
new file mode 100644
index 00000000000..94ac052ae07
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box.selected"
+    _path_str = "box.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.box.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/box/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/box/unselected/__init__.py
index 1bbc01c2ca1..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/box/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/box/unselected/__init__.py
@@ -1,205 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "box.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.box.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.box.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.box.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.box.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/box/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/box/unselected/_marker.py
new file mode 100644
index 00000000000..2a2705a3db1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/box/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "box.unselected"
+    _path_str = "box.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.box.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.box.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.box.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/__init__.py b/packages/python/plotly/plotly/graph_objs/candlestick/__init__.py
index ff0473444a9..12b1a76d937 100644
--- a/packages/python/plotly/plotly/graph_objs/candlestick/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/__init__.py
@@ -1,1156 +1,25 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of line bounding the box(es). Note that
-        this style setting can also be set per direction via
-        `increasing.line.width` and `decreasing.line.width`.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        width
-            Sets the width (in px) of line bounding the box(es).
-            Note that this style setting can also be set per
-            direction via `increasing.line.width` and
-            `decreasing.line.width`.
-        """
-
-    def __init__(self, arg=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.Line`
-        width
-            Sets the width (in px) of line bounding the box(es).
-            Note that this style setting can also be set per
-            direction via `increasing.line.width` and
-            `decreasing.line.width`.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Increasing(_BaseTraceHierarchyType):
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.increasing.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of line bounding the box(es).
-                width
-                    Sets the width (in px) of line bounding the
-                    box(es).
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.increasing.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        line
-            :class:`plotly.graph_objects.candlestick.increasing.Lin
-            e` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, fillcolor=None, line=None, **kwargs):
-        """
-        Construct a new Increasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.Increasing`
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        line
-            :class:`plotly.graph_objects.candlestick.increasing.Lin
-            e` instance or dict with compatible properties
-
-        Returns
-        -------
-        Increasing
-        """
-        super(Increasing, self).__init__("increasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.Increasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.Increasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick import increasing as v_increasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fillcolor"] = v_increasing.FillcolorValidator()
-        self._validators["line"] = v_increasing.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # split
-    # -----
-    @property
-    def split(self):
-        """
-        Show hover information (open, close, high, low) in separate
-        labels.
-    
-        The 'split' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["split"]
-
-    @split.setter
-    def split(self, val):
-        self["split"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        split
-            Show hover information (open, close, high, low) in
-            separate labels.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        split=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        split
-            Show hover information (open, close, high, low) in
-            separate labels.
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-        self._validators["split"] = v_hoverlabel.SplitValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-        _v = arg.pop("split", None)
-        self["split"] = split if split is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Decreasing(_BaseTraceHierarchyType):
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color. Defaults to a half-transparent variant of
-        the line color, marker color, or marker line color, whichever
-        is available.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.candlestick.decreasing.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of line bounding the box(es).
-                width
-                    Sets the width (in px) of line bounding the
-                    box(es).
-
-        Returns
-        -------
-        plotly.graph_objs.candlestick.decreasing.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        line
-            :class:`plotly.graph_objects.candlestick.decreasing.Lin
-            e` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, fillcolor=None, line=None, **kwargs):
-        """
-        Construct a new Decreasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.Decreasing`
-        fillcolor
-            Sets the fill color. Defaults to a half-transparent
-            variant of the line color, marker color, or marker line
-            color, whichever is available.
-        line
-            :class:`plotly.graph_objects.candlestick.decreasing.Lin
-            e` instance or dict with compatible properties
-
-        Returns
-        -------
-        Decreasing
-        """
-        super(Decreasing, self).__init__("decreasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.Decreasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.Decreasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick import decreasing as v_decreasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fillcolor"] = v_decreasing.FillcolorValidator()
-        self._validators["line"] = v_decreasing.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Decreasing",
-    "Hoverlabel",
-    "Increasing",
-    "Line",
-    "Stream",
-    "decreasing",
-    "hoverlabel",
-    "increasing",
-]
-
-from plotly.graph_objs.candlestick import increasing
-from plotly.graph_objs.candlestick import hoverlabel
-from plotly.graph_objs.candlestick import decreasing
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._line import Line
+    from ._increasing import Increasing
+    from ._hoverlabel import Hoverlabel
+    from ._decreasing import Decreasing
+    from . import increasing
+    from . import hoverlabel
+    from . import decreasing
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".increasing", ".hoverlabel", ".decreasing"],
+        [
+            "._stream.Stream",
+            "._line.Line",
+            "._increasing.Increasing",
+            "._hoverlabel.Hoverlabel",
+            "._decreasing.Decreasing",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/_decreasing.py b/packages/python/plotly/plotly/graph_objs/candlestick/_decreasing.py
new file mode 100644
index 00000000000..f67fbc4c355
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/_decreasing.py
@@ -0,0 +1,182 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Decreasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick"
+    _path_str = "candlestick.decreasing"
+    _valid_props = {"fillcolor", "line"}
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.decreasing.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of line bounding the box(es).
+                width
+                    Sets the width (in px) of line bounding the
+                    box(es).
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.decreasing.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        line
+            :class:`plotly.graph_objects.candlestick.decreasing.Lin
+            e` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, fillcolor=None, line=None, **kwargs):
+        """
+        Construct a new Decreasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.Decreasing`
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        line
+            :class:`plotly.graph_objects.candlestick.decreasing.Lin
+            e` instance or dict with compatible properties
+
+        Returns
+        -------
+        Decreasing
+        """
+        super(Decreasing, self).__init__("decreasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.Decreasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.Decreasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/candlestick/_hoverlabel.py
new file mode 100644
index 00000000000..688efe38bd1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/_hoverlabel.py
@@ -0,0 +1,535 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick"
+    _path_str = "candlestick.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+        "split",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # split
+    # -----
+    @property
+    def split(self):
+        """
+        Show hover information (open, close, high, low) in separate
+        labels.
+    
+        The 'split' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["split"]
+
+    @split.setter
+    def split(self, val):
+        self["split"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        split
+            Show hover information (open, close, high, low) in
+            separate labels.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        split=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        split
+            Show hover information (open, close, high, low) in
+            separate labels.
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+        _v = arg.pop("split", None)
+        _v = split if split is not None else _v
+        if _v is not None:
+            self["split"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/_increasing.py b/packages/python/plotly/plotly/graph_objs/candlestick/_increasing.py
new file mode 100644
index 00000000000..5a3ffbf107f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/_increasing.py
@@ -0,0 +1,182 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Increasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick"
+    _path_str = "candlestick.increasing"
+    _valid_props = {"fillcolor", "line"}
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color. Defaults to a half-transparent variant of
+        the line color, marker color, or marker line color, whichever
+        is available.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.candlestick.increasing.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of line bounding the box(es).
+                width
+                    Sets the width (in px) of line bounding the
+                    box(es).
+
+        Returns
+        -------
+        plotly.graph_objs.candlestick.increasing.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        line
+            :class:`plotly.graph_objects.candlestick.increasing.Lin
+            e` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, fillcolor=None, line=None, **kwargs):
+        """
+        Construct a new Increasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.Increasing`
+        fillcolor
+            Sets the fill color. Defaults to a half-transparent
+            variant of the line color, marker color, or marker line
+            color, whichever is available.
+        line
+            :class:`plotly.graph_objects.candlestick.increasing.Lin
+            e` instance or dict with compatible properties
+
+        Returns
+        -------
+        Increasing
+        """
+        super(Increasing, self).__init__("increasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.Increasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.Increasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/_line.py b/packages/python/plotly/plotly/graph_objs/candlestick/_line.py
new file mode 100644
index 00000000000..c322026e412
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/_line.py
@@ -0,0 +1,106 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick"
+    _path_str = "candlestick.line"
+    _valid_props = {"width"}
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of line bounding the box(es). Note that
+        this style setting can also be set per direction via
+        `increasing.line.width` and `decreasing.line.width`.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        width
+            Sets the width (in px) of line bounding the box(es).
+            Note that this style setting can also be set per
+            direction via `increasing.line.width` and
+            `decreasing.line.width`.
+        """
+
+    def __init__(self, arg=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.Line`
+        width
+            Sets the width (in px) of line bounding the box(es).
+            Note that this style setting can also be set per
+            direction via `increasing.line.width` and
+            `decreasing.line.width`.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/_stream.py b/packages/python/plotly/plotly/graph_objs/candlestick/_stream.py
new file mode 100644
index 00000000000..2f29b9a1967
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick"
+    _path_str = "candlestick.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/__init__.py b/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/__init__.py
index f8810c3003e..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/__init__.py
@@ -1,169 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of line bounding the box(es).
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of line bounding the box(es).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick.decreasing"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of line bounding the box(es).
-        width
-            Sets the width (in px) of line bounding the box(es).
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.decreasing.Line`
-        color
-            Sets the color of line bounding the box(es).
-        width
-            Sets the width (in px) of line bounding the box(es).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.decreasing.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.decreasing.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick.decreasing import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/_line.py b/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/_line.py
new file mode 100644
index 00000000000..65a710b70f5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/decreasing/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick.decreasing"
+    _path_str = "candlestick.decreasing.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of line bounding the box(es).
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of line bounding the box(es).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of line bounding the box(es).
+        width
+            Sets the width (in px) of line bounding the box(es).
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.decreasing.Line`
+        color
+            Sets the color of line bounding the box(es).
+        width
+            Sets the width (in px) of line bounding the box(es).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.decreasing.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.decreasing.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/__init__.py
index d0e6d7e5f98..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/_font.py
new file mode 100644
index 00000000000..45194074af4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick.hoverlabel"
+    _path_str = "candlestick.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/increasing/__init__.py b/packages/python/plotly/plotly/graph_objs/candlestick/increasing/__init__.py
index 09e2aa04027..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/candlestick/increasing/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/increasing/__init__.py
@@ -1,169 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of line bounding the box(es).
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of line bounding the box(es).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "candlestick.increasing"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of line bounding the box(es).
-        width
-            Sets the width (in px) of line bounding the box(es).
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.candlestick.increasing.Line`
-        color
-            Sets the color of line bounding the box(es).
-        width
-            Sets the width (in px) of line bounding the box(es).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.candlestick.increasing.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.candlestick.increasing.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.candlestick.increasing import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/candlestick/increasing/_line.py b/packages/python/plotly/plotly/graph_objs/candlestick/increasing/_line.py
new file mode 100644
index 00000000000..2a073e55ad1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/candlestick/increasing/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "candlestick.increasing"
+    _path_str = "candlestick.increasing.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of line bounding the box(es).
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of line bounding the box(es).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of line bounding the box(es).
+        width
+            Sets the width (in px) of line bounding the box(es).
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.candlestick.increasing.Line`
+        color
+            Sets the color of line bounding the box(es).
+        width
+            Sets the width (in px) of line bounding the box(es).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.candlestick.increasing.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.candlestick.increasing.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/__init__.py b/packages/python/plotly/plotly/graph_objs/carpet/__init__.py
index 7f426ae632c..969cbc0297f 100644
--- a/packages/python/plotly/plotly/graph_objs/carpet/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/carpet/__init__.py
@@ -1,4853 +1,17 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.carpet.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        The default font used for axis & tick labels on this carpet
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.carpet.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Baxis(_BaseTraceHierarchyType):
-
-    # arraydtick
-    # ----------
-    @property
-    def arraydtick(self):
-        """
-        The stride between grid lines along the axis
-    
-        The 'arraydtick' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["arraydtick"]
-
-    @arraydtick.setter
-    def arraydtick(self, val):
-        self["arraydtick"] = val
-
-    # arraytick0
-    # ----------
-    @property
-    def arraytick0(self):
-        """
-        The starting index of grid lines along the axis
-    
-        The 'arraytick0' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["arraytick0"]
-
-    @arraytick0.setter
-    def arraytick0(self, val):
-        self["arraytick0"] = val
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # cheatertype
-    # -----------
-    @property
-    def cheatertype(self):
-        """
-        The 'cheatertype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['index', 'value']
-
-        Returns
-        -------
-        Any
-        """
-        return self["cheatertype"]
-
-    @cheatertype.setter
-    def cheatertype(self, val):
-        self["cheatertype"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        The stride between grid lines along the axis
-    
-        The 'dtick' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # endline
-    # -------
-    @property
-    def endline(self):
-        """
-        Determines whether or not a line is drawn at along the final
-        value of this axis. If True, the end line is drawn on top of
-        the grid lines.
-    
-        The 'endline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["endline"]
-
-    @endline.setter
-    def endline(self, val):
-        self["endline"] = val
-
-    # endlinecolor
-    # ------------
-    @property
-    def endlinecolor(self):
-        """
-        Sets the line color of the end line.
-    
-        The 'endlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["endlinecolor"]
-
-    @endlinecolor.setter
-    def endlinecolor(self, val):
-        self["endlinecolor"] = val
-
-    # endlinewidth
-    # ------------
-    @property
-    def endlinewidth(self):
-        """
-        Sets the width (in px) of the end line.
-    
-        The 'endlinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["endlinewidth"]
-
-    @endlinewidth.setter
-    def endlinewidth(self, val):
-        self["endlinewidth"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # fixedrange
-    # ----------
-    @property
-    def fixedrange(self):
-        """
-        Determines whether or not this axis is zoom-able. If true, then
-        zoom is disabled.
-    
-        The 'fixedrange' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["fixedrange"]
-
-    @fixedrange.setter
-    def fixedrange(self, val):
-        self["fixedrange"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # labelpadding
-    # ------------
-    @property
-    def labelpadding(self):
-        """
-        Extra padding between label and the axis
-    
-        The 'labelpadding' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-
-        Returns
-        -------
-        int
-        """
-        return self["labelpadding"]
-
-    @labelpadding.setter
-    def labelpadding(self, val):
-        self["labelpadding"] = val
-
-    # labelprefix
-    # -----------
-    @property
-    def labelprefix(self):
-        """
-        Sets a axis label prefix.
-    
-        The 'labelprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelprefix"]
-
-    @labelprefix.setter
-    def labelprefix(self, val):
-        self["labelprefix"] = val
-
-    # labelsuffix
-    # -----------
-    @property
-    def labelsuffix(self):
-        """
-        Sets a axis label suffix.
-    
-        The 'labelsuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelsuffix"]
-
-    @labelsuffix.setter
-    def labelsuffix(self, val):
-        self["labelsuffix"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # minorgridcolor
-    # --------------
-    @property
-    def minorgridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'minorgridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["minorgridcolor"]
-
-    @minorgridcolor.setter
-    def minorgridcolor(self, val):
-        self["minorgridcolor"] = val
-
-    # minorgridcount
-    # --------------
-    @property
-    def minorgridcount(self):
-        """
-        Sets the number of minor grid ticks per major grid tick
-    
-        The 'minorgridcount' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["minorgridcount"]
-
-    @minorgridcount.setter
-    def minorgridcount(self, val):
-        self["minorgridcount"] = val
-
-    # minorgridwidth
-    # --------------
-    @property
-    def minorgridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'minorgridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["minorgridwidth"]
-
-    @minorgridwidth.setter
-    def minorgridwidth(self, val):
-        self["minorgridwidth"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether axis labels are drawn on the low side, the
-        high side, both, or neither side of the axis.
-    
-        The 'showticklabels' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['start', 'end', 'both', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # startline
-    # ---------
-    @property
-    def startline(self):
-        """
-        Determines whether or not a line is drawn at along the starting
-        value of this axis. If True, the start line is drawn on top of
-        the grid lines.
-    
-        The 'startline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["startline"]
-
-    @startline.setter
-    def startline(self, val):
-        self["startline"] = val
-
-    # startlinecolor
-    # --------------
-    @property
-    def startlinecolor(self):
-        """
-        Sets the line color of the start line.
-    
-        The 'startlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["startlinecolor"]
-
-    @startlinecolor.setter
-    def startlinecolor(self, val):
-        self["startlinecolor"] = val
-
-    # startlinewidth
-    # --------------
-    @property
-    def startlinewidth(self):
-        """
-        Sets the width (in px) of the start line.
-    
-        The 'startlinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["startlinewidth"]
-
-    @startlinewidth.setter
-    def startlinewidth(self, val):
-        self["startlinewidth"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        The starting index of grid lines along the axis
-    
-        The 'tick0' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.baxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.baxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see:  We add one item to d3's date formatter: "%{n}f" for
-        fractional seconds with n digits. For example, *2016-10-13
-        09:15:23.456* with tickformat "%H~%M~%S.%2f" would display
-        "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.carpet.baxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.carpet.baxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.carpet.baxis.tickformatstopdefaults), sets
-        the default property values to use for elements of
-        carpet.baxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.baxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.baxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.baxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                offset
-                    An additional amount by which to offset the
-                    title from the tick labels, given in pixels.
-                    Note that this used to be set by the now
-                    deprecated `titleoffset` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.baxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use carpet.baxis.title.font instead. Sets
-        this axis' title font. Note that the title's font used to be
-        set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.baxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleoffset
-    # -----------
-    @property
-    def titleoffset(self):
-        """
-        Deprecated: Please use carpet.baxis.title.offset instead. An
-        additional amount by which to offset the title from the tick
-        labels, given in pixels. Note that this used to be set by the
-        now deprecated `titleoffset` attribute.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        
-        """
-        return self["titleoffset"]
-
-    @titleoffset.setter
-    def titleoffset(self, val):
-        self["titleoffset"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        arraydtick
-            The stride between grid lines along the axis
-        arraytick0
-            The starting index of grid lines along the axis
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`.
-        cheatertype
-
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            The stride between grid lines along the axis
-        endline
-            Determines whether or not a line is drawn at along the
-            final value of this axis. If True, the end line is
-            drawn on top of the grid lines.
-        endlinecolor
-            Sets the line color of the end line.
-        endlinewidth
-            Sets the width (in px) of the end line.
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the axis line color.
-        gridwidth
-            Sets the width (in px) of the axis line.
-        labelpadding
-            Extra padding between label and the axis
-        labelprefix
-            Sets a axis label prefix.
-        labelsuffix
-            Sets a axis label suffix.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        minorgridcolor
-            Sets the color of the grid lines.
-        minorgridcount
-            Sets the number of minor grid ticks per major grid tick
-        minorgridwidth
-            Sets the width (in px) of the grid lines.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether axis labels are drawn on the low
-            side, the high side, both, or neither side of the axis.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        smoothing
-
-        startline
-            Determines whether or not a line is drawn at along the
-            starting value of this axis. If True, the start line is
-            drawn on top of the grid lines.
-        startlinecolor
-            Sets the line color of the start line.
-        startlinewidth
-            Sets the width (in px) of the start line.
-        tick0
-            The starting index of grid lines along the axis
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see:  We add one item to d3's date formatter:
-            "%{n}f" for fractional seconds with n digits. For
-            example, *2016-10-13 09:15:23.456* with tickformat
-            "%H~%M~%S.%2f" would display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.carpet.baxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.carpet
-            .baxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            carpet.baxis.tickformatstops
-        tickmode
-
-        tickprefix
-            Sets a tick label prefix.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        title
-            :class:`plotly.graph_objects.carpet.baxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use carpet.baxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleoffset
-            Deprecated: Please use carpet.baxis.title.offset
-            instead. An additional amount by which to offset the
-            title from the tick labels, given in pixels. Note that
-            this used to be set by the now deprecated `titleoffset`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleoffset": ("title", "offset"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        arraydtick=None,
-        arraytick0=None,
-        autorange=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        cheatertype=None,
-        color=None,
-        dtick=None,
-        endline=None,
-        endlinecolor=None,
-        endlinewidth=None,
-        exponentformat=None,
-        fixedrange=None,
-        gridcolor=None,
-        gridwidth=None,
-        labelpadding=None,
-        labelprefix=None,
-        labelsuffix=None,
-        linecolor=None,
-        linewidth=None,
-        minorgridcolor=None,
-        minorgridcount=None,
-        minorgridwidth=None,
-        nticks=None,
-        range=None,
-        rangemode=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        smoothing=None,
-        startline=None,
-        startlinecolor=None,
-        startlinewidth=None,
-        tick0=None,
-        tickangle=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        tickmode=None,
-        tickprefix=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        title=None,
-        titlefont=None,
-        titleoffset=None,
-        type=None,
-        **kwargs
-    ):
-        """
-        Construct a new Baxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.carpet.Baxis`
-        arraydtick
-            The stride between grid lines along the axis
-        arraytick0
-            The starting index of grid lines along the axis
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`.
-        cheatertype
-
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            The stride between grid lines along the axis
-        endline
-            Determines whether or not a line is drawn at along the
-            final value of this axis. If True, the end line is
-            drawn on top of the grid lines.
-        endlinecolor
-            Sets the line color of the end line.
-        endlinewidth
-            Sets the width (in px) of the end line.
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the axis line color.
-        gridwidth
-            Sets the width (in px) of the axis line.
-        labelpadding
-            Extra padding between label and the axis
-        labelprefix
-            Sets a axis label prefix.
-        labelsuffix
-            Sets a axis label suffix.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        minorgridcolor
-            Sets the color of the grid lines.
-        minorgridcount
-            Sets the number of minor grid ticks per major grid tick
-        minorgridwidth
-            Sets the width (in px) of the grid lines.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether axis labels are drawn on the low
-            side, the high side, both, or neither side of the axis.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        smoothing
-
-        startline
-            Determines whether or not a line is drawn at along the
-            starting value of this axis. If True, the start line is
-            drawn on top of the grid lines.
-        startlinecolor
-            Sets the line color of the start line.
-        startlinewidth
-            Sets the width (in px) of the start line.
-        tick0
-            The starting index of grid lines along the axis
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see:  We add one item to d3's date formatter:
-            "%{n}f" for fractional seconds with n digits. For
-            example, *2016-10-13 09:15:23.456* with tickformat
-            "%H~%M~%S.%2f" would display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.carpet.baxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.carpet
-            .baxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            carpet.baxis.tickformatstops
-        tickmode
-
-        tickprefix
-            Sets a tick label prefix.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        title
-            :class:`plotly.graph_objects.carpet.baxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use carpet.baxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleoffset
-            Deprecated: Please use carpet.baxis.title.offset
-            instead. An additional amount by which to offset the
-            title from the tick labels, given in pixels. Note that
-            this used to be set by the now deprecated `titleoffset`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-
-        Returns
-        -------
-        Baxis
-        """
-        super(Baxis, self).__init__("baxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.Baxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.Baxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet import baxis as v_baxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["arraydtick"] = v_baxis.ArraydtickValidator()
-        self._validators["arraytick0"] = v_baxis.Arraytick0Validator()
-        self._validators["autorange"] = v_baxis.AutorangeValidator()
-        self._validators["categoryarray"] = v_baxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_baxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_baxis.CategoryorderValidator()
-        self._validators["cheatertype"] = v_baxis.CheatertypeValidator()
-        self._validators["color"] = v_baxis.ColorValidator()
-        self._validators["dtick"] = v_baxis.DtickValidator()
-        self._validators["endline"] = v_baxis.EndlineValidator()
-        self._validators["endlinecolor"] = v_baxis.EndlinecolorValidator()
-        self._validators["endlinewidth"] = v_baxis.EndlinewidthValidator()
-        self._validators["exponentformat"] = v_baxis.ExponentformatValidator()
-        self._validators["fixedrange"] = v_baxis.FixedrangeValidator()
-        self._validators["gridcolor"] = v_baxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_baxis.GridwidthValidator()
-        self._validators["labelpadding"] = v_baxis.LabelpaddingValidator()
-        self._validators["labelprefix"] = v_baxis.LabelprefixValidator()
-        self._validators["labelsuffix"] = v_baxis.LabelsuffixValidator()
-        self._validators["linecolor"] = v_baxis.LinecolorValidator()
-        self._validators["linewidth"] = v_baxis.LinewidthValidator()
-        self._validators["minorgridcolor"] = v_baxis.MinorgridcolorValidator()
-        self._validators["minorgridcount"] = v_baxis.MinorgridcountValidator()
-        self._validators["minorgridwidth"] = v_baxis.MinorgridwidthValidator()
-        self._validators["nticks"] = v_baxis.NticksValidator()
-        self._validators["range"] = v_baxis.RangeValidator()
-        self._validators["rangemode"] = v_baxis.RangemodeValidator()
-        self._validators["separatethousands"] = v_baxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_baxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_baxis.ShowgridValidator()
-        self._validators["showline"] = v_baxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_baxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_baxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_baxis.ShowticksuffixValidator()
-        self._validators["smoothing"] = v_baxis.SmoothingValidator()
-        self._validators["startline"] = v_baxis.StartlineValidator()
-        self._validators["startlinecolor"] = v_baxis.StartlinecolorValidator()
-        self._validators["startlinewidth"] = v_baxis.StartlinewidthValidator()
-        self._validators["tick0"] = v_baxis.Tick0Validator()
-        self._validators["tickangle"] = v_baxis.TickangleValidator()
-        self._validators["tickfont"] = v_baxis.TickfontValidator()
-        self._validators["tickformat"] = v_baxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_baxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_baxis.TickformatstopValidator()
-        self._validators["tickmode"] = v_baxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_baxis.TickprefixValidator()
-        self._validators["ticksuffix"] = v_baxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_baxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_baxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_baxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_baxis.TickvalssrcValidator()
-        self._validators["title"] = v_baxis.TitleValidator()
-        self._validators["type"] = v_baxis.TypeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("arraydtick", None)
-        self["arraydtick"] = arraydtick if arraydtick is not None else _v
-        _v = arg.pop("arraytick0", None)
-        self["arraytick0"] = arraytick0 if arraytick0 is not None else _v
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("cheatertype", None)
-        self["cheatertype"] = cheatertype if cheatertype is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("endline", None)
-        self["endline"] = endline if endline is not None else _v
-        _v = arg.pop("endlinecolor", None)
-        self["endlinecolor"] = endlinecolor if endlinecolor is not None else _v
-        _v = arg.pop("endlinewidth", None)
-        self["endlinewidth"] = endlinewidth if endlinewidth is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("fixedrange", None)
-        self["fixedrange"] = fixedrange if fixedrange is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("labelpadding", None)
-        self["labelpadding"] = labelpadding if labelpadding is not None else _v
-        _v = arg.pop("labelprefix", None)
-        self["labelprefix"] = labelprefix if labelprefix is not None else _v
-        _v = arg.pop("labelsuffix", None)
-        self["labelsuffix"] = labelsuffix if labelsuffix is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("minorgridcolor", None)
-        self["minorgridcolor"] = minorgridcolor if minorgridcolor is not None else _v
-        _v = arg.pop("minorgridcount", None)
-        self["minorgridcount"] = minorgridcount if minorgridcount is not None else _v
-        _v = arg.pop("minorgridwidth", None)
-        self["minorgridwidth"] = minorgridwidth if minorgridwidth is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("startline", None)
-        self["startline"] = startline if startline is not None else _v
-        _v = arg.pop("startlinecolor", None)
-        self["startlinecolor"] = startlinecolor if startlinecolor is not None else _v
-        _v = arg.pop("startlinewidth", None)
-        self["startlinewidth"] = startlinewidth if startlinewidth is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleoffset", None)
-        _v = titleoffset if titleoffset is not None else _v
-        if _v is not None:
-            self["titleoffset"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Aaxis(_BaseTraceHierarchyType):
-
-    # arraydtick
-    # ----------
-    @property
-    def arraydtick(self):
-        """
-        The stride between grid lines along the axis
-    
-        The 'arraydtick' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["arraydtick"]
-
-    @arraydtick.setter
-    def arraydtick(self, val):
-        self["arraydtick"] = val
-
-    # arraytick0
-    # ----------
-    @property
-    def arraytick0(self):
-        """
-        The starting index of grid lines along the axis
-    
-        The 'arraytick0' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["arraytick0"]
-
-    @arraytick0.setter
-    def arraytick0(self, val):
-        self["arraytick0"] = val
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # cheatertype
-    # -----------
-    @property
-    def cheatertype(self):
-        """
-        The 'cheatertype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['index', 'value']
-
-        Returns
-        -------
-        Any
-        """
-        return self["cheatertype"]
-
-    @cheatertype.setter
-    def cheatertype(self, val):
-        self["cheatertype"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        The stride between grid lines along the axis
-    
-        The 'dtick' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # endline
-    # -------
-    @property
-    def endline(self):
-        """
-        Determines whether or not a line is drawn at along the final
-        value of this axis. If True, the end line is drawn on top of
-        the grid lines.
-    
-        The 'endline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["endline"]
-
-    @endline.setter
-    def endline(self, val):
-        self["endline"] = val
-
-    # endlinecolor
-    # ------------
-    @property
-    def endlinecolor(self):
-        """
-        Sets the line color of the end line.
-    
-        The 'endlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["endlinecolor"]
-
-    @endlinecolor.setter
-    def endlinecolor(self, val):
-        self["endlinecolor"] = val
-
-    # endlinewidth
-    # ------------
-    @property
-    def endlinewidth(self):
-        """
-        Sets the width (in px) of the end line.
-    
-        The 'endlinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["endlinewidth"]
-
-    @endlinewidth.setter
-    def endlinewidth(self, val):
-        self["endlinewidth"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # fixedrange
-    # ----------
-    @property
-    def fixedrange(self):
-        """
-        Determines whether or not this axis is zoom-able. If true, then
-        zoom is disabled.
-    
-        The 'fixedrange' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["fixedrange"]
-
-    @fixedrange.setter
-    def fixedrange(self, val):
-        self["fixedrange"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # labelpadding
-    # ------------
-    @property
-    def labelpadding(self):
-        """
-        Extra padding between label and the axis
-    
-        The 'labelpadding' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-
-        Returns
-        -------
-        int
-        """
-        return self["labelpadding"]
-
-    @labelpadding.setter
-    def labelpadding(self, val):
-        self["labelpadding"] = val
-
-    # labelprefix
-    # -----------
-    @property
-    def labelprefix(self):
-        """
-        Sets a axis label prefix.
-    
-        The 'labelprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelprefix"]
-
-    @labelprefix.setter
-    def labelprefix(self, val):
-        self["labelprefix"] = val
-
-    # labelsuffix
-    # -----------
-    @property
-    def labelsuffix(self):
-        """
-        Sets a axis label suffix.
-    
-        The 'labelsuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelsuffix"]
-
-    @labelsuffix.setter
-    def labelsuffix(self, val):
-        self["labelsuffix"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # minorgridcolor
-    # --------------
-    @property
-    def minorgridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'minorgridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["minorgridcolor"]
-
-    @minorgridcolor.setter
-    def minorgridcolor(self, val):
-        self["minorgridcolor"] = val
-
-    # minorgridcount
-    # --------------
-    @property
-    def minorgridcount(self):
-        """
-        Sets the number of minor grid ticks per major grid tick
-    
-        The 'minorgridcount' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["minorgridcount"]
-
-    @minorgridcount.setter
-    def minorgridcount(self, val):
-        self["minorgridcount"] = val
-
-    # minorgridwidth
-    # --------------
-    @property
-    def minorgridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'minorgridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["minorgridwidth"]
-
-    @minorgridwidth.setter
-    def minorgridwidth(self, val):
-        self["minorgridwidth"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether axis labels are drawn on the low side, the
-        high side, both, or neither side of the axis.
-    
-        The 'showticklabels' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['start', 'end', 'both', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # startline
-    # ---------
-    @property
-    def startline(self):
-        """
-        Determines whether or not a line is drawn at along the starting
-        value of this axis. If True, the start line is drawn on top of
-        the grid lines.
-    
-        The 'startline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["startline"]
-
-    @startline.setter
-    def startline(self, val):
-        self["startline"] = val
-
-    # startlinecolor
-    # --------------
-    @property
-    def startlinecolor(self):
-        """
-        Sets the line color of the start line.
-    
-        The 'startlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["startlinecolor"]
-
-    @startlinecolor.setter
-    def startlinecolor(self, val):
-        self["startlinecolor"] = val
-
-    # startlinewidth
-    # --------------
-    @property
-    def startlinewidth(self):
-        """
-        Sets the width (in px) of the start line.
-    
-        The 'startlinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["startlinewidth"]
-
-    @startlinewidth.setter
-    def startlinewidth(self, val):
-        self["startlinewidth"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        The starting index of grid lines along the axis
-    
-        The 'tick0' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.aaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.aaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see:  We add one item to d3's date formatter: "%{n}f" for
-        fractional seconds with n digits. For example, *2016-10-13
-        09:15:23.456* with tickformat "%H~%M~%S.%2f" would display
-        "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.carpet.aaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.carpet.aaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.carpet.aaxis.tickformatstopdefaults), sets
-        the default property values to use for elements of
-        carpet.aaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.aaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.aaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.aaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                offset
-                    An additional amount by which to offset the
-                    title from the tick labels, given in pixels.
-                    Note that this used to be set by the now
-                    deprecated `titleoffset` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.aaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use carpet.aaxis.title.font instead. Sets
-        this axis' title font. Note that the title's font used to be
-        set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.aaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleoffset
-    # -----------
-    @property
-    def titleoffset(self):
-        """
-        Deprecated: Please use carpet.aaxis.title.offset instead. An
-        additional amount by which to offset the title from the tick
-        labels, given in pixels. Note that this used to be set by the
-        now deprecated `titleoffset` attribute.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        
-        """
-        return self["titleoffset"]
-
-    @titleoffset.setter
-    def titleoffset(self, val):
-        self["titleoffset"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        arraydtick
-            The stride between grid lines along the axis
-        arraytick0
-            The starting index of grid lines along the axis
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`.
-        cheatertype
-
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            The stride between grid lines along the axis
-        endline
-            Determines whether or not a line is drawn at along the
-            final value of this axis. If True, the end line is
-            drawn on top of the grid lines.
-        endlinecolor
-            Sets the line color of the end line.
-        endlinewidth
-            Sets the width (in px) of the end line.
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the axis line color.
-        gridwidth
-            Sets the width (in px) of the axis line.
-        labelpadding
-            Extra padding between label and the axis
-        labelprefix
-            Sets a axis label prefix.
-        labelsuffix
-            Sets a axis label suffix.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        minorgridcolor
-            Sets the color of the grid lines.
-        minorgridcount
-            Sets the number of minor grid ticks per major grid tick
-        minorgridwidth
-            Sets the width (in px) of the grid lines.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether axis labels are drawn on the low
-            side, the high side, both, or neither side of the axis.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        smoothing
-
-        startline
-            Determines whether or not a line is drawn at along the
-            starting value of this axis. If True, the start line is
-            drawn on top of the grid lines.
-        startlinecolor
-            Sets the line color of the start line.
-        startlinewidth
-            Sets the width (in px) of the start line.
-        tick0
-            The starting index of grid lines along the axis
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see:  We add one item to d3's date formatter:
-            "%{n}f" for fractional seconds with n digits. For
-            example, *2016-10-13 09:15:23.456* with tickformat
-            "%H~%M~%S.%2f" would display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.carpet.aaxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.carpet
-            .aaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            carpet.aaxis.tickformatstops
-        tickmode
-
-        tickprefix
-            Sets a tick label prefix.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        title
-            :class:`plotly.graph_objects.carpet.aaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use carpet.aaxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleoffset
-            Deprecated: Please use carpet.aaxis.title.offset
-            instead. An additional amount by which to offset the
-            title from the tick labels, given in pixels. Note that
-            this used to be set by the now deprecated `titleoffset`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleoffset": ("title", "offset"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        arraydtick=None,
-        arraytick0=None,
-        autorange=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        cheatertype=None,
-        color=None,
-        dtick=None,
-        endline=None,
-        endlinecolor=None,
-        endlinewidth=None,
-        exponentformat=None,
-        fixedrange=None,
-        gridcolor=None,
-        gridwidth=None,
-        labelpadding=None,
-        labelprefix=None,
-        labelsuffix=None,
-        linecolor=None,
-        linewidth=None,
-        minorgridcolor=None,
-        minorgridcount=None,
-        minorgridwidth=None,
-        nticks=None,
-        range=None,
-        rangemode=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        smoothing=None,
-        startline=None,
-        startlinecolor=None,
-        startlinewidth=None,
-        tick0=None,
-        tickangle=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        tickmode=None,
-        tickprefix=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        title=None,
-        titlefont=None,
-        titleoffset=None,
-        type=None,
-        **kwargs
-    ):
-        """
-        Construct a new Aaxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.carpet.Aaxis`
-        arraydtick
-            The stride between grid lines along the axis
-        arraytick0
-            The starting index of grid lines along the axis
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`.
-        cheatertype
-
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            The stride between grid lines along the axis
-        endline
-            Determines whether or not a line is drawn at along the
-            final value of this axis. If True, the end line is
-            drawn on top of the grid lines.
-        endlinecolor
-            Sets the line color of the end line.
-        endlinewidth
-            Sets the width (in px) of the end line.
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the axis line color.
-        gridwidth
-            Sets the width (in px) of the axis line.
-        labelpadding
-            Extra padding between label and the axis
-        labelprefix
-            Sets a axis label prefix.
-        labelsuffix
-            Sets a axis label suffix.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        minorgridcolor
-            Sets the color of the grid lines.
-        minorgridcount
-            Sets the number of minor grid ticks per major grid tick
-        minorgridwidth
-            Sets the width (in px) of the grid lines.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether axis labels are drawn on the low
-            side, the high side, both, or neither side of the axis.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        smoothing
-
-        startline
-            Determines whether or not a line is drawn at along the
-            starting value of this axis. If True, the start line is
-            drawn on top of the grid lines.
-        startlinecolor
-            Sets the line color of the start line.
-        startlinewidth
-            Sets the width (in px) of the start line.
-        tick0
-            The starting index of grid lines along the axis
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see:  We add one item to d3's date formatter:
-            "%{n}f" for fractional seconds with n digits. For
-            example, *2016-10-13 09:15:23.456* with tickformat
-            "%H~%M~%S.%2f" would display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.carpet.aaxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.carpet
-            .aaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            carpet.aaxis.tickformatstops
-        tickmode
-
-        tickprefix
-            Sets a tick label prefix.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        title
-            :class:`plotly.graph_objects.carpet.aaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use carpet.aaxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleoffset
-            Deprecated: Please use carpet.aaxis.title.offset
-            instead. An additional amount by which to offset the
-            title from the tick labels, given in pixels. Note that
-            this used to be set by the now deprecated `titleoffset`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-
-        Returns
-        -------
-        Aaxis
-        """
-        super(Aaxis, self).__init__("aaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.Aaxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.Aaxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet import aaxis as v_aaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["arraydtick"] = v_aaxis.ArraydtickValidator()
-        self._validators["arraytick0"] = v_aaxis.Arraytick0Validator()
-        self._validators["autorange"] = v_aaxis.AutorangeValidator()
-        self._validators["categoryarray"] = v_aaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_aaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_aaxis.CategoryorderValidator()
-        self._validators["cheatertype"] = v_aaxis.CheatertypeValidator()
-        self._validators["color"] = v_aaxis.ColorValidator()
-        self._validators["dtick"] = v_aaxis.DtickValidator()
-        self._validators["endline"] = v_aaxis.EndlineValidator()
-        self._validators["endlinecolor"] = v_aaxis.EndlinecolorValidator()
-        self._validators["endlinewidth"] = v_aaxis.EndlinewidthValidator()
-        self._validators["exponentformat"] = v_aaxis.ExponentformatValidator()
-        self._validators["fixedrange"] = v_aaxis.FixedrangeValidator()
-        self._validators["gridcolor"] = v_aaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_aaxis.GridwidthValidator()
-        self._validators["labelpadding"] = v_aaxis.LabelpaddingValidator()
-        self._validators["labelprefix"] = v_aaxis.LabelprefixValidator()
-        self._validators["labelsuffix"] = v_aaxis.LabelsuffixValidator()
-        self._validators["linecolor"] = v_aaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_aaxis.LinewidthValidator()
-        self._validators["minorgridcolor"] = v_aaxis.MinorgridcolorValidator()
-        self._validators["minorgridcount"] = v_aaxis.MinorgridcountValidator()
-        self._validators["minorgridwidth"] = v_aaxis.MinorgridwidthValidator()
-        self._validators["nticks"] = v_aaxis.NticksValidator()
-        self._validators["range"] = v_aaxis.RangeValidator()
-        self._validators["rangemode"] = v_aaxis.RangemodeValidator()
-        self._validators["separatethousands"] = v_aaxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_aaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_aaxis.ShowgridValidator()
-        self._validators["showline"] = v_aaxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_aaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_aaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_aaxis.ShowticksuffixValidator()
-        self._validators["smoothing"] = v_aaxis.SmoothingValidator()
-        self._validators["startline"] = v_aaxis.StartlineValidator()
-        self._validators["startlinecolor"] = v_aaxis.StartlinecolorValidator()
-        self._validators["startlinewidth"] = v_aaxis.StartlinewidthValidator()
-        self._validators["tick0"] = v_aaxis.Tick0Validator()
-        self._validators["tickangle"] = v_aaxis.TickangleValidator()
-        self._validators["tickfont"] = v_aaxis.TickfontValidator()
-        self._validators["tickformat"] = v_aaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_aaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_aaxis.TickformatstopValidator()
-        self._validators["tickmode"] = v_aaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_aaxis.TickprefixValidator()
-        self._validators["ticksuffix"] = v_aaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_aaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_aaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_aaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_aaxis.TickvalssrcValidator()
-        self._validators["title"] = v_aaxis.TitleValidator()
-        self._validators["type"] = v_aaxis.TypeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("arraydtick", None)
-        self["arraydtick"] = arraydtick if arraydtick is not None else _v
-        _v = arg.pop("arraytick0", None)
-        self["arraytick0"] = arraytick0 if arraytick0 is not None else _v
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("cheatertype", None)
-        self["cheatertype"] = cheatertype if cheatertype is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("endline", None)
-        self["endline"] = endline if endline is not None else _v
-        _v = arg.pop("endlinecolor", None)
-        self["endlinecolor"] = endlinecolor if endlinecolor is not None else _v
-        _v = arg.pop("endlinewidth", None)
-        self["endlinewidth"] = endlinewidth if endlinewidth is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("fixedrange", None)
-        self["fixedrange"] = fixedrange if fixedrange is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("labelpadding", None)
-        self["labelpadding"] = labelpadding if labelpadding is not None else _v
-        _v = arg.pop("labelprefix", None)
-        self["labelprefix"] = labelprefix if labelprefix is not None else _v
-        _v = arg.pop("labelsuffix", None)
-        self["labelsuffix"] = labelsuffix if labelsuffix is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("minorgridcolor", None)
-        self["minorgridcolor"] = minorgridcolor if minorgridcolor is not None else _v
-        _v = arg.pop("minorgridcount", None)
-        self["minorgridcount"] = minorgridcount if minorgridcount is not None else _v
-        _v = arg.pop("minorgridwidth", None)
-        self["minorgridwidth"] = minorgridwidth if minorgridwidth is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("startline", None)
-        self["startline"] = startline if startline is not None else _v
-        _v = arg.pop("startlinecolor", None)
-        self["startlinecolor"] = startlinecolor if startlinecolor is not None else _v
-        _v = arg.pop("startlinewidth", None)
-        self["startlinewidth"] = startlinewidth if startlinewidth is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleoffset", None)
-        _v = titleoffset if titleoffset is not None else _v
-        if _v is not None:
-            self["titleoffset"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Aaxis", "Baxis", "Font", "Stream", "aaxis", "baxis"]
-
-from plotly.graph_objs.carpet import baxis
-from plotly.graph_objs.carpet import aaxis
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._font import Font
+    from ._baxis import Baxis
+    from ._aaxis import Aaxis
+    from . import baxis
+    from . import aaxis
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".baxis", ".aaxis"],
+        ["._stream.Stream", "._font.Font", "._baxis.Baxis", "._aaxis.Aaxis"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/_aaxis.py b/packages/python/plotly/plotly/graph_objs/carpet/_aaxis.py
new file mode 100644
index 00000000000..dae80ca2a79
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/_aaxis.py
@@ -0,0 +1,2338 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Aaxis(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet"
+    _path_str = "carpet.aaxis"
+    _valid_props = {
+        "arraydtick",
+        "arraytick0",
+        "autorange",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "cheatertype",
+        "color",
+        "dtick",
+        "endline",
+        "endlinecolor",
+        "endlinewidth",
+        "exponentformat",
+        "fixedrange",
+        "gridcolor",
+        "gridwidth",
+        "labelpadding",
+        "labelprefix",
+        "labelsuffix",
+        "linecolor",
+        "linewidth",
+        "minorgridcolor",
+        "minorgridcount",
+        "minorgridwidth",
+        "nticks",
+        "range",
+        "rangemode",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "smoothing",
+        "startline",
+        "startlinecolor",
+        "startlinewidth",
+        "tick0",
+        "tickangle",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "tickmode",
+        "tickprefix",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "title",
+        "titlefont",
+        "titleoffset",
+        "type",
+    }
+
+    # arraydtick
+    # ----------
+    @property
+    def arraydtick(self):
+        """
+        The stride between grid lines along the axis
+    
+        The 'arraydtick' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["arraydtick"]
+
+    @arraydtick.setter
+    def arraydtick(self, val):
+        self["arraydtick"] = val
+
+    # arraytick0
+    # ----------
+    @property
+    def arraytick0(self):
+        """
+        The starting index of grid lines along the axis
+    
+        The 'arraytick0' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["arraytick0"]
+
+    @arraytick0.setter
+    def arraytick0(self, val):
+        self["arraytick0"] = val
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # cheatertype
+    # -----------
+    @property
+    def cheatertype(self):
+        """
+        The 'cheatertype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['index', 'value']
+
+        Returns
+        -------
+        Any
+        """
+        return self["cheatertype"]
+
+    @cheatertype.setter
+    def cheatertype(self, val):
+        self["cheatertype"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        The stride between grid lines along the axis
+    
+        The 'dtick' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # endline
+    # -------
+    @property
+    def endline(self):
+        """
+        Determines whether or not a line is drawn at along the final
+        value of this axis. If True, the end line is drawn on top of
+        the grid lines.
+    
+        The 'endline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["endline"]
+
+    @endline.setter
+    def endline(self, val):
+        self["endline"] = val
+
+    # endlinecolor
+    # ------------
+    @property
+    def endlinecolor(self):
+        """
+        Sets the line color of the end line.
+    
+        The 'endlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["endlinecolor"]
+
+    @endlinecolor.setter
+    def endlinecolor(self, val):
+        self["endlinecolor"] = val
+
+    # endlinewidth
+    # ------------
+    @property
+    def endlinewidth(self):
+        """
+        Sets the width (in px) of the end line.
+    
+        The 'endlinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["endlinewidth"]
+
+    @endlinewidth.setter
+    def endlinewidth(self, val):
+        self["endlinewidth"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # fixedrange
+    # ----------
+    @property
+    def fixedrange(self):
+        """
+        Determines whether or not this axis is zoom-able. If true, then
+        zoom is disabled.
+    
+        The 'fixedrange' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["fixedrange"]
+
+    @fixedrange.setter
+    def fixedrange(self, val):
+        self["fixedrange"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # labelpadding
+    # ------------
+    @property
+    def labelpadding(self):
+        """
+        Extra padding between label and the axis
+    
+        The 'labelpadding' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+
+        Returns
+        -------
+        int
+        """
+        return self["labelpadding"]
+
+    @labelpadding.setter
+    def labelpadding(self, val):
+        self["labelpadding"] = val
+
+    # labelprefix
+    # -----------
+    @property
+    def labelprefix(self):
+        """
+        Sets a axis label prefix.
+    
+        The 'labelprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelprefix"]
+
+    @labelprefix.setter
+    def labelprefix(self, val):
+        self["labelprefix"] = val
+
+    # labelsuffix
+    # -----------
+    @property
+    def labelsuffix(self):
+        """
+        Sets a axis label suffix.
+    
+        The 'labelsuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelsuffix"]
+
+    @labelsuffix.setter
+    def labelsuffix(self, val):
+        self["labelsuffix"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # minorgridcolor
+    # --------------
+    @property
+    def minorgridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'minorgridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["minorgridcolor"]
+
+    @minorgridcolor.setter
+    def minorgridcolor(self, val):
+        self["minorgridcolor"] = val
+
+    # minorgridcount
+    # --------------
+    @property
+    def minorgridcount(self):
+        """
+        Sets the number of minor grid ticks per major grid tick
+    
+        The 'minorgridcount' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["minorgridcount"]
+
+    @minorgridcount.setter
+    def minorgridcount(self, val):
+        self["minorgridcount"] = val
+
+    # minorgridwidth
+    # --------------
+    @property
+    def minorgridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'minorgridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["minorgridwidth"]
+
+    @minorgridwidth.setter
+    def minorgridwidth(self, val):
+        self["minorgridwidth"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether axis labels are drawn on the low side, the
+        high side, both, or neither side of the axis.
+    
+        The 'showticklabels' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['start', 'end', 'both', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # startline
+    # ---------
+    @property
+    def startline(self):
+        """
+        Determines whether or not a line is drawn at along the starting
+        value of this axis. If True, the start line is drawn on top of
+        the grid lines.
+    
+        The 'startline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["startline"]
+
+    @startline.setter
+    def startline(self, val):
+        self["startline"] = val
+
+    # startlinecolor
+    # --------------
+    @property
+    def startlinecolor(self):
+        """
+        Sets the line color of the start line.
+    
+        The 'startlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["startlinecolor"]
+
+    @startlinecolor.setter
+    def startlinecolor(self, val):
+        self["startlinecolor"] = val
+
+    # startlinewidth
+    # --------------
+    @property
+    def startlinewidth(self):
+        """
+        Sets the width (in px) of the start line.
+    
+        The 'startlinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["startlinewidth"]
+
+    @startlinewidth.setter
+    def startlinewidth(self, val):
+        self["startlinewidth"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        The starting index of grid lines along the axis
+    
+        The 'tick0' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.aaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.aaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see:  We add one item to d3's date formatter: "%{n}f" for
+        fractional seconds with n digits. For example, *2016-10-13
+        09:15:23.456* with tickformat "%H~%M~%S.%2f" would display
+        "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.carpet.aaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.carpet.aaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.carpet.aaxis.tickformatstopdefaults), sets
+        the default property values to use for elements of
+        carpet.aaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.aaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.aaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.aaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                offset
+                    An additional amount by which to offset the
+                    title from the tick labels, given in pixels.
+                    Note that this used to be set by the now
+                    deprecated `titleoffset` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.aaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use carpet.aaxis.title.font instead. Sets
+        this axis' title font. Note that the title's font used to be
+        set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.aaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleoffset
+    # -----------
+    @property
+    def titleoffset(self):
+        """
+        Deprecated: Please use carpet.aaxis.title.offset instead. An
+        additional amount by which to offset the title from the tick
+        labels, given in pixels. Note that this used to be set by the
+        now deprecated `titleoffset` attribute.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        
+        """
+        return self["titleoffset"]
+
+    @titleoffset.setter
+    def titleoffset(self, val):
+        self["titleoffset"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        arraydtick
+            The stride between grid lines along the axis
+        arraytick0
+            The starting index of grid lines along the axis
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`.
+        cheatertype
+
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            The stride between grid lines along the axis
+        endline
+            Determines whether or not a line is drawn at along the
+            final value of this axis. If True, the end line is
+            drawn on top of the grid lines.
+        endlinecolor
+            Sets the line color of the end line.
+        endlinewidth
+            Sets the width (in px) of the end line.
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the axis line color.
+        gridwidth
+            Sets the width (in px) of the axis line.
+        labelpadding
+            Extra padding between label and the axis
+        labelprefix
+            Sets a axis label prefix.
+        labelsuffix
+            Sets a axis label suffix.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        minorgridcolor
+            Sets the color of the grid lines.
+        minorgridcount
+            Sets the number of minor grid ticks per major grid tick
+        minorgridwidth
+            Sets the width (in px) of the grid lines.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether axis labels are drawn on the low
+            side, the high side, both, or neither side of the axis.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        smoothing
+
+        startline
+            Determines whether or not a line is drawn at along the
+            starting value of this axis. If True, the start line is
+            drawn on top of the grid lines.
+        startlinecolor
+            Sets the line color of the start line.
+        startlinewidth
+            Sets the width (in px) of the start line.
+        tick0
+            The starting index of grid lines along the axis
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see:  We add one item to d3's date formatter:
+            "%{n}f" for fractional seconds with n digits. For
+            example, *2016-10-13 09:15:23.456* with tickformat
+            "%H~%M~%S.%2f" would display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.carpet.aaxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.carpet
+            .aaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            carpet.aaxis.tickformatstops
+        tickmode
+
+        tickprefix
+            Sets a tick label prefix.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        title
+            :class:`plotly.graph_objects.carpet.aaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use carpet.aaxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleoffset
+            Deprecated: Please use carpet.aaxis.title.offset
+            instead. An additional amount by which to offset the
+            title from the tick labels, given in pixels. Note that
+            this used to be set by the now deprecated `titleoffset`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleoffset": ("title", "offset"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        arraydtick=None,
+        arraytick0=None,
+        autorange=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        cheatertype=None,
+        color=None,
+        dtick=None,
+        endline=None,
+        endlinecolor=None,
+        endlinewidth=None,
+        exponentformat=None,
+        fixedrange=None,
+        gridcolor=None,
+        gridwidth=None,
+        labelpadding=None,
+        labelprefix=None,
+        labelsuffix=None,
+        linecolor=None,
+        linewidth=None,
+        minorgridcolor=None,
+        minorgridcount=None,
+        minorgridwidth=None,
+        nticks=None,
+        range=None,
+        rangemode=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        smoothing=None,
+        startline=None,
+        startlinecolor=None,
+        startlinewidth=None,
+        tick0=None,
+        tickangle=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        tickmode=None,
+        tickprefix=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        title=None,
+        titlefont=None,
+        titleoffset=None,
+        type=None,
+        **kwargs
+    ):
+        """
+        Construct a new Aaxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.carpet.Aaxis`
+        arraydtick
+            The stride between grid lines along the axis
+        arraytick0
+            The starting index of grid lines along the axis
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`.
+        cheatertype
+
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            The stride between grid lines along the axis
+        endline
+            Determines whether or not a line is drawn at along the
+            final value of this axis. If True, the end line is
+            drawn on top of the grid lines.
+        endlinecolor
+            Sets the line color of the end line.
+        endlinewidth
+            Sets the width (in px) of the end line.
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the axis line color.
+        gridwidth
+            Sets the width (in px) of the axis line.
+        labelpadding
+            Extra padding between label and the axis
+        labelprefix
+            Sets a axis label prefix.
+        labelsuffix
+            Sets a axis label suffix.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        minorgridcolor
+            Sets the color of the grid lines.
+        minorgridcount
+            Sets the number of minor grid ticks per major grid tick
+        minorgridwidth
+            Sets the width (in px) of the grid lines.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether axis labels are drawn on the low
+            side, the high side, both, or neither side of the axis.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        smoothing
+
+        startline
+            Determines whether or not a line is drawn at along the
+            starting value of this axis. If True, the start line is
+            drawn on top of the grid lines.
+        startlinecolor
+            Sets the line color of the start line.
+        startlinewidth
+            Sets the width (in px) of the start line.
+        tick0
+            The starting index of grid lines along the axis
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see:  We add one item to d3's date formatter:
+            "%{n}f" for fractional seconds with n digits. For
+            example, *2016-10-13 09:15:23.456* with tickformat
+            "%H~%M~%S.%2f" would display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.carpet.aaxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.carpet
+            .aaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            carpet.aaxis.tickformatstops
+        tickmode
+
+        tickprefix
+            Sets a tick label prefix.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        title
+            :class:`plotly.graph_objects.carpet.aaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use carpet.aaxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleoffset
+            Deprecated: Please use carpet.aaxis.title.offset
+            instead. An additional amount by which to offset the
+            title from the tick labels, given in pixels. Note that
+            this used to be set by the now deprecated `titleoffset`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+
+        Returns
+        -------
+        Aaxis
+        """
+        super(Aaxis, self).__init__("aaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.Aaxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.Aaxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("arraydtick", None)
+        _v = arraydtick if arraydtick is not None else _v
+        if _v is not None:
+            self["arraydtick"] = _v
+        _v = arg.pop("arraytick0", None)
+        _v = arraytick0 if arraytick0 is not None else _v
+        if _v is not None:
+            self["arraytick0"] = _v
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("cheatertype", None)
+        _v = cheatertype if cheatertype is not None else _v
+        if _v is not None:
+            self["cheatertype"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("endline", None)
+        _v = endline if endline is not None else _v
+        if _v is not None:
+            self["endline"] = _v
+        _v = arg.pop("endlinecolor", None)
+        _v = endlinecolor if endlinecolor is not None else _v
+        if _v is not None:
+            self["endlinecolor"] = _v
+        _v = arg.pop("endlinewidth", None)
+        _v = endlinewidth if endlinewidth is not None else _v
+        if _v is not None:
+            self["endlinewidth"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("fixedrange", None)
+        _v = fixedrange if fixedrange is not None else _v
+        if _v is not None:
+            self["fixedrange"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("labelpadding", None)
+        _v = labelpadding if labelpadding is not None else _v
+        if _v is not None:
+            self["labelpadding"] = _v
+        _v = arg.pop("labelprefix", None)
+        _v = labelprefix if labelprefix is not None else _v
+        if _v is not None:
+            self["labelprefix"] = _v
+        _v = arg.pop("labelsuffix", None)
+        _v = labelsuffix if labelsuffix is not None else _v
+        if _v is not None:
+            self["labelsuffix"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("minorgridcolor", None)
+        _v = minorgridcolor if minorgridcolor is not None else _v
+        if _v is not None:
+            self["minorgridcolor"] = _v
+        _v = arg.pop("minorgridcount", None)
+        _v = minorgridcount if minorgridcount is not None else _v
+        if _v is not None:
+            self["minorgridcount"] = _v
+        _v = arg.pop("minorgridwidth", None)
+        _v = minorgridwidth if minorgridwidth is not None else _v
+        if _v is not None:
+            self["minorgridwidth"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("startline", None)
+        _v = startline if startline is not None else _v
+        if _v is not None:
+            self["startline"] = _v
+        _v = arg.pop("startlinecolor", None)
+        _v = startlinecolor if startlinecolor is not None else _v
+        if _v is not None:
+            self["startlinecolor"] = _v
+        _v = arg.pop("startlinewidth", None)
+        _v = startlinewidth if startlinewidth is not None else _v
+        if _v is not None:
+            self["startlinewidth"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleoffset", None)
+        _v = titleoffset if titleoffset is not None else _v
+        if _v is not None:
+            self["titleoffset"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/_baxis.py b/packages/python/plotly/plotly/graph_objs/carpet/_baxis.py
new file mode 100644
index 00000000000..44340cbf5b3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/_baxis.py
@@ -0,0 +1,2338 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Baxis(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet"
+    _path_str = "carpet.baxis"
+    _valid_props = {
+        "arraydtick",
+        "arraytick0",
+        "autorange",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "cheatertype",
+        "color",
+        "dtick",
+        "endline",
+        "endlinecolor",
+        "endlinewidth",
+        "exponentformat",
+        "fixedrange",
+        "gridcolor",
+        "gridwidth",
+        "labelpadding",
+        "labelprefix",
+        "labelsuffix",
+        "linecolor",
+        "linewidth",
+        "minorgridcolor",
+        "minorgridcount",
+        "minorgridwidth",
+        "nticks",
+        "range",
+        "rangemode",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "smoothing",
+        "startline",
+        "startlinecolor",
+        "startlinewidth",
+        "tick0",
+        "tickangle",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "tickmode",
+        "tickprefix",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "title",
+        "titlefont",
+        "titleoffset",
+        "type",
+    }
+
+    # arraydtick
+    # ----------
+    @property
+    def arraydtick(self):
+        """
+        The stride between grid lines along the axis
+    
+        The 'arraydtick' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["arraydtick"]
+
+    @arraydtick.setter
+    def arraydtick(self, val):
+        self["arraydtick"] = val
+
+    # arraytick0
+    # ----------
+    @property
+    def arraytick0(self):
+        """
+        The starting index of grid lines along the axis
+    
+        The 'arraytick0' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["arraytick0"]
+
+    @arraytick0.setter
+    def arraytick0(self, val):
+        self["arraytick0"] = val
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # cheatertype
+    # -----------
+    @property
+    def cheatertype(self):
+        """
+        The 'cheatertype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['index', 'value']
+
+        Returns
+        -------
+        Any
+        """
+        return self["cheatertype"]
+
+    @cheatertype.setter
+    def cheatertype(self, val):
+        self["cheatertype"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        The stride between grid lines along the axis
+    
+        The 'dtick' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # endline
+    # -------
+    @property
+    def endline(self):
+        """
+        Determines whether or not a line is drawn at along the final
+        value of this axis. If True, the end line is drawn on top of
+        the grid lines.
+    
+        The 'endline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["endline"]
+
+    @endline.setter
+    def endline(self, val):
+        self["endline"] = val
+
+    # endlinecolor
+    # ------------
+    @property
+    def endlinecolor(self):
+        """
+        Sets the line color of the end line.
+    
+        The 'endlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["endlinecolor"]
+
+    @endlinecolor.setter
+    def endlinecolor(self, val):
+        self["endlinecolor"] = val
+
+    # endlinewidth
+    # ------------
+    @property
+    def endlinewidth(self):
+        """
+        Sets the width (in px) of the end line.
+    
+        The 'endlinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["endlinewidth"]
+
+    @endlinewidth.setter
+    def endlinewidth(self, val):
+        self["endlinewidth"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # fixedrange
+    # ----------
+    @property
+    def fixedrange(self):
+        """
+        Determines whether or not this axis is zoom-able. If true, then
+        zoom is disabled.
+    
+        The 'fixedrange' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["fixedrange"]
+
+    @fixedrange.setter
+    def fixedrange(self, val):
+        self["fixedrange"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # labelpadding
+    # ------------
+    @property
+    def labelpadding(self):
+        """
+        Extra padding between label and the axis
+    
+        The 'labelpadding' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+
+        Returns
+        -------
+        int
+        """
+        return self["labelpadding"]
+
+    @labelpadding.setter
+    def labelpadding(self, val):
+        self["labelpadding"] = val
+
+    # labelprefix
+    # -----------
+    @property
+    def labelprefix(self):
+        """
+        Sets a axis label prefix.
+    
+        The 'labelprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelprefix"]
+
+    @labelprefix.setter
+    def labelprefix(self, val):
+        self["labelprefix"] = val
+
+    # labelsuffix
+    # -----------
+    @property
+    def labelsuffix(self):
+        """
+        Sets a axis label suffix.
+    
+        The 'labelsuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelsuffix"]
+
+    @labelsuffix.setter
+    def labelsuffix(self, val):
+        self["labelsuffix"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # minorgridcolor
+    # --------------
+    @property
+    def minorgridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'minorgridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["minorgridcolor"]
+
+    @minorgridcolor.setter
+    def minorgridcolor(self, val):
+        self["minorgridcolor"] = val
+
+    # minorgridcount
+    # --------------
+    @property
+    def minorgridcount(self):
+        """
+        Sets the number of minor grid ticks per major grid tick
+    
+        The 'minorgridcount' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["minorgridcount"]
+
+    @minorgridcount.setter
+    def minorgridcount(self, val):
+        self["minorgridcount"] = val
+
+    # minorgridwidth
+    # --------------
+    @property
+    def minorgridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'minorgridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["minorgridwidth"]
+
+    @minorgridwidth.setter
+    def minorgridwidth(self, val):
+        self["minorgridwidth"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether axis labels are drawn on the low side, the
+        high side, both, or neither side of the axis.
+    
+        The 'showticklabels' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['start', 'end', 'both', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # startline
+    # ---------
+    @property
+    def startline(self):
+        """
+        Determines whether or not a line is drawn at along the starting
+        value of this axis. If True, the start line is drawn on top of
+        the grid lines.
+    
+        The 'startline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["startline"]
+
+    @startline.setter
+    def startline(self, val):
+        self["startline"] = val
+
+    # startlinecolor
+    # --------------
+    @property
+    def startlinecolor(self):
+        """
+        Sets the line color of the start line.
+    
+        The 'startlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["startlinecolor"]
+
+    @startlinecolor.setter
+    def startlinecolor(self, val):
+        self["startlinecolor"] = val
+
+    # startlinewidth
+    # --------------
+    @property
+    def startlinewidth(self):
+        """
+        Sets the width (in px) of the start line.
+    
+        The 'startlinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["startlinewidth"]
+
+    @startlinewidth.setter
+    def startlinewidth(self, val):
+        self["startlinewidth"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        The starting index of grid lines along the axis
+    
+        The 'tick0' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.baxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.baxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see:  We add one item to d3's date formatter: "%{n}f" for
+        fractional seconds with n digits. For example, *2016-10-13
+        09:15:23.456* with tickformat "%H~%M~%S.%2f" would display
+        "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.carpet.baxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.carpet.baxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.carpet.baxis.tickformatstopdefaults), sets
+        the default property values to use for elements of
+        carpet.baxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.baxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.baxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.baxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                offset
+                    An additional amount by which to offset the
+                    title from the tick labels, given in pixels.
+                    Note that this used to be set by the now
+                    deprecated `titleoffset` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.baxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use carpet.baxis.title.font instead. Sets
+        this axis' title font. Note that the title's font used to be
+        set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.baxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleoffset
+    # -----------
+    @property
+    def titleoffset(self):
+        """
+        Deprecated: Please use carpet.baxis.title.offset instead. An
+        additional amount by which to offset the title from the tick
+        labels, given in pixels. Note that this used to be set by the
+        now deprecated `titleoffset` attribute.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        
+        """
+        return self["titleoffset"]
+
+    @titleoffset.setter
+    def titleoffset(self, val):
+        self["titleoffset"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        arraydtick
+            The stride between grid lines along the axis
+        arraytick0
+            The starting index of grid lines along the axis
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`.
+        cheatertype
+
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            The stride between grid lines along the axis
+        endline
+            Determines whether or not a line is drawn at along the
+            final value of this axis. If True, the end line is
+            drawn on top of the grid lines.
+        endlinecolor
+            Sets the line color of the end line.
+        endlinewidth
+            Sets the width (in px) of the end line.
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the axis line color.
+        gridwidth
+            Sets the width (in px) of the axis line.
+        labelpadding
+            Extra padding between label and the axis
+        labelprefix
+            Sets a axis label prefix.
+        labelsuffix
+            Sets a axis label suffix.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        minorgridcolor
+            Sets the color of the grid lines.
+        minorgridcount
+            Sets the number of minor grid ticks per major grid tick
+        minorgridwidth
+            Sets the width (in px) of the grid lines.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether axis labels are drawn on the low
+            side, the high side, both, or neither side of the axis.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        smoothing
+
+        startline
+            Determines whether or not a line is drawn at along the
+            starting value of this axis. If True, the start line is
+            drawn on top of the grid lines.
+        startlinecolor
+            Sets the line color of the start line.
+        startlinewidth
+            Sets the width (in px) of the start line.
+        tick0
+            The starting index of grid lines along the axis
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see:  We add one item to d3's date formatter:
+            "%{n}f" for fractional seconds with n digits. For
+            example, *2016-10-13 09:15:23.456* with tickformat
+            "%H~%M~%S.%2f" would display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.carpet.baxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.carpet
+            .baxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            carpet.baxis.tickformatstops
+        tickmode
+
+        tickprefix
+            Sets a tick label prefix.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        title
+            :class:`plotly.graph_objects.carpet.baxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use carpet.baxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleoffset
+            Deprecated: Please use carpet.baxis.title.offset
+            instead. An additional amount by which to offset the
+            title from the tick labels, given in pixels. Note that
+            this used to be set by the now deprecated `titleoffset`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleoffset": ("title", "offset"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        arraydtick=None,
+        arraytick0=None,
+        autorange=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        cheatertype=None,
+        color=None,
+        dtick=None,
+        endline=None,
+        endlinecolor=None,
+        endlinewidth=None,
+        exponentformat=None,
+        fixedrange=None,
+        gridcolor=None,
+        gridwidth=None,
+        labelpadding=None,
+        labelprefix=None,
+        labelsuffix=None,
+        linecolor=None,
+        linewidth=None,
+        minorgridcolor=None,
+        minorgridcount=None,
+        minorgridwidth=None,
+        nticks=None,
+        range=None,
+        rangemode=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        smoothing=None,
+        startline=None,
+        startlinecolor=None,
+        startlinewidth=None,
+        tick0=None,
+        tickangle=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        tickmode=None,
+        tickprefix=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        title=None,
+        titlefont=None,
+        titleoffset=None,
+        type=None,
+        **kwargs
+    ):
+        """
+        Construct a new Baxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.carpet.Baxis`
+        arraydtick
+            The stride between grid lines along the axis
+        arraytick0
+            The starting index of grid lines along the axis
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`.
+        cheatertype
+
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            The stride between grid lines along the axis
+        endline
+            Determines whether or not a line is drawn at along the
+            final value of this axis. If True, the end line is
+            drawn on top of the grid lines.
+        endlinecolor
+            Sets the line color of the end line.
+        endlinewidth
+            Sets the width (in px) of the end line.
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the axis line color.
+        gridwidth
+            Sets the width (in px) of the axis line.
+        labelpadding
+            Extra padding between label and the axis
+        labelprefix
+            Sets a axis label prefix.
+        labelsuffix
+            Sets a axis label suffix.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        minorgridcolor
+            Sets the color of the grid lines.
+        minorgridcount
+            Sets the number of minor grid ticks per major grid tick
+        minorgridwidth
+            Sets the width (in px) of the grid lines.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether axis labels are drawn on the low
+            side, the high side, both, or neither side of the axis.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        smoothing
+
+        startline
+            Determines whether or not a line is drawn at along the
+            starting value of this axis. If True, the start line is
+            drawn on top of the grid lines.
+        startlinecolor
+            Sets the line color of the start line.
+        startlinewidth
+            Sets the width (in px) of the start line.
+        tick0
+            The starting index of grid lines along the axis
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see:  We add one item to d3's date formatter:
+            "%{n}f" for fractional seconds with n digits. For
+            example, *2016-10-13 09:15:23.456* with tickformat
+            "%H~%M~%S.%2f" would display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.carpet.baxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.carpet
+            .baxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            carpet.baxis.tickformatstops
+        tickmode
+
+        tickprefix
+            Sets a tick label prefix.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        title
+            :class:`plotly.graph_objects.carpet.baxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use carpet.baxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleoffset
+            Deprecated: Please use carpet.baxis.title.offset
+            instead. An additional amount by which to offset the
+            title from the tick labels, given in pixels. Note that
+            this used to be set by the now deprecated `titleoffset`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+
+        Returns
+        -------
+        Baxis
+        """
+        super(Baxis, self).__init__("baxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.Baxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.Baxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("arraydtick", None)
+        _v = arraydtick if arraydtick is not None else _v
+        if _v is not None:
+            self["arraydtick"] = _v
+        _v = arg.pop("arraytick0", None)
+        _v = arraytick0 if arraytick0 is not None else _v
+        if _v is not None:
+            self["arraytick0"] = _v
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("cheatertype", None)
+        _v = cheatertype if cheatertype is not None else _v
+        if _v is not None:
+            self["cheatertype"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("endline", None)
+        _v = endline if endline is not None else _v
+        if _v is not None:
+            self["endline"] = _v
+        _v = arg.pop("endlinecolor", None)
+        _v = endlinecolor if endlinecolor is not None else _v
+        if _v is not None:
+            self["endlinecolor"] = _v
+        _v = arg.pop("endlinewidth", None)
+        _v = endlinewidth if endlinewidth is not None else _v
+        if _v is not None:
+            self["endlinewidth"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("fixedrange", None)
+        _v = fixedrange if fixedrange is not None else _v
+        if _v is not None:
+            self["fixedrange"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("labelpadding", None)
+        _v = labelpadding if labelpadding is not None else _v
+        if _v is not None:
+            self["labelpadding"] = _v
+        _v = arg.pop("labelprefix", None)
+        _v = labelprefix if labelprefix is not None else _v
+        if _v is not None:
+            self["labelprefix"] = _v
+        _v = arg.pop("labelsuffix", None)
+        _v = labelsuffix if labelsuffix is not None else _v
+        if _v is not None:
+            self["labelsuffix"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("minorgridcolor", None)
+        _v = minorgridcolor if minorgridcolor is not None else _v
+        if _v is not None:
+            self["minorgridcolor"] = _v
+        _v = arg.pop("minorgridcount", None)
+        _v = minorgridcount if minorgridcount is not None else _v
+        if _v is not None:
+            self["minorgridcount"] = _v
+        _v = arg.pop("minorgridwidth", None)
+        _v = minorgridwidth if minorgridwidth is not None else _v
+        if _v is not None:
+            self["minorgridwidth"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("startline", None)
+        _v = startline if startline is not None else _v
+        if _v is not None:
+            self["startline"] = _v
+        _v = arg.pop("startlinecolor", None)
+        _v = startlinecolor if startlinecolor is not None else _v
+        if _v is not None:
+            self["startlinecolor"] = _v
+        _v = arg.pop("startlinewidth", None)
+        _v = startlinewidth if startlinewidth is not None else _v
+        if _v is not None:
+            self["startlinewidth"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleoffset", None)
+        _v = titleoffset if titleoffset is not None else _v
+        if _v is not None:
+            self["titleoffset"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/_font.py b/packages/python/plotly/plotly/graph_objs/carpet/_font.py
new file mode 100644
index 00000000000..d456719633a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/_font.py
@@ -0,0 +1,225 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet"
+    _path_str = "carpet.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        The default font used for axis & tick labels on this carpet
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.carpet.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/_stream.py b/packages/python/plotly/plotly/graph_objs/carpet/_stream.py
new file mode 100644
index 00000000000..5b7ac3ba968
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet"
+    _path_str = "carpet.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.carpet.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/__init__.py
index 005852218ae..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/__init__.py
@@ -1,721 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.aaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.aaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        An additional amount by which to offset the title from the tick
-        labels, given in pixels. Note that this used to be set by the
-        now deprecated `titleoffset` attribute.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.aaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        offset
-            An additional amount by which to offset the title from
-            the tick labels, given in pixels. Note that this used
-            to be set by the now deprecated `titleoffset`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, offset=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.aaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        offset
-            An additional amount by which to offset the title from
-            the tick labels, given in pixels. Note that this used
-            to be set by the now deprecated `titleoffset`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.aaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.aaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.aaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["offset"] = v_title.OffsetValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.aaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.aaxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.aaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.aaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.aaxis import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.aaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.aaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.aaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.aaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.aaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.carpet.aaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_tickfont.py
new file mode 100644
index 00000000000..24c3fca5deb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.aaxis"
+    _path_str = "carpet.aaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.aaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.aaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.aaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_tickformatstop.py
new file mode 100644
index 00000000000..4a83eb0f1ed
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.aaxis"
+    _path_str = "carpet.aaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.aaxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.aaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.aaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_title.py b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_title.py
new file mode 100644
index 00000000000..edf99ddca6c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/_title.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.aaxis"
+    _path_str = "carpet.aaxis.title"
+    _valid_props = {"font", "offset", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.aaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.aaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        An additional amount by which to offset the title from the tick
+        labels, given in pixels. Note that this used to be set by the
+        now deprecated `titleoffset` attribute.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        offset
+            An additional amount by which to offset the title from
+            the tick labels, given in pixels. Note that this used
+            to be set by the now deprecated `titleoffset`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, offset=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.aaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        offset
+            An additional amount by which to offset the title from
+            the tick labels, given in pixels. Note that this used
+            to be set by the now deprecated `titleoffset`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.aaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.aaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/__init__.py
index e1d9ce33c2c..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.aaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.aaxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.aaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.aaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.aaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/_font.py
new file mode 100644
index 00000000000..ebb8963a081
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/aaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.aaxis.title"
+    _path_str = "carpet.aaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.aaxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.aaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.aaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/baxis/__init__.py b/packages/python/plotly/plotly/graph_objs/carpet/baxis/__init__.py
index ad76e0ef675..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/carpet/baxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/carpet/baxis/__init__.py
@@ -1,721 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.carpet.baxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.carpet.baxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        An additional amount by which to offset the title from the tick
-        labels, given in pixels. Note that this used to be set by the
-        now deprecated `titleoffset` attribute.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.baxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        offset
-            An additional amount by which to offset the title from
-            the tick labels, given in pixels. Note that this used
-            to be set by the now deprecated `titleoffset`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, offset=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.baxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        offset
-            An additional amount by which to offset the title from
-            the tick labels, given in pixels. Note that this used
-            to be set by the now deprecated `titleoffset`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.baxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.baxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.baxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["offset"] = v_title.OffsetValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.baxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.baxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.baxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.baxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.baxis import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.baxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.baxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.baxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.baxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.baxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.carpet.baxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/baxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/carpet/baxis/_tickfont.py
new file mode 100644
index 00000000000..efa63cff720
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/baxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.baxis"
+    _path_str = "carpet.baxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.baxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.baxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.baxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/baxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/carpet/baxis/_tickformatstop.py
new file mode 100644
index 00000000000..eb24bba1c32
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/baxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.baxis"
+    _path_str = "carpet.baxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.baxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.baxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.baxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/baxis/_title.py b/packages/python/plotly/plotly/graph_objs/carpet/baxis/_title.py
new file mode 100644
index 00000000000..836732b7587
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/baxis/_title.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.baxis"
+    _path_str = "carpet.baxis.title"
+    _valid_props = {"font", "offset", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.carpet.baxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.carpet.baxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        An additional amount by which to offset the title from the tick
+        labels, given in pixels. Note that this used to be set by the
+        now deprecated `titleoffset` attribute.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        offset
+            An additional amount by which to offset the title from
+            the tick labels, given in pixels. Note that this used
+            to be set by the now deprecated `titleoffset`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, offset=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.baxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        offset
+            An additional amount by which to offset the title from
+            the tick labels, given in pixels. Note that this used
+            to be set by the now deprecated `titleoffset`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.baxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.baxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/__init__.py
index 0bc7cad692e..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "carpet.baxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.carpet.baxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.carpet.baxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.carpet.baxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.carpet.baxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/_font.py
new file mode 100644
index 00000000000..80bae7179aa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/carpet/baxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "carpet.baxis.title"
+    _path_str = "carpet.baxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.carpet.baxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.carpet.baxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.carpet.baxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/__init__.py
index 52b07958eeb..9b12594cbb6 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/__init__.py
@@ -1,2917 +1,29 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.choropleth.unselected.Mark
-            er` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.Unselected`
-        marker
-            :class:`plotly.graph_objects.choropleth.unselected.Mark
-            er` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.choropleth.selected.Marker
-            ` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.Selected`
-        marker
-            :class:`plotly.graph_objects.choropleth.selected.Marker
-            ` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the locations.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        line
-            :class:`plotly.graph_objects.choropleth.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the locations.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        """
-
-    def __init__(self, arg=None, line=None, opacity=None, opacitysrc=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.Marker`
-        line
-            :class:`plotly.graph_objects.choropleth.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the locations.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.choropleth.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.choropleth.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.choropleth.col
-        orbar.tickformatstopdefaults), sets the default property values
-        to use for elements of choropleth.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use choropleth.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use choropleth.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.choropleth.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.chorop
-            leth.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            choropleth.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.choropleth.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use choropleth.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use choropleth.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.choropleth.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.chorop
-            leth.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            choropleth.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.choropleth.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use choropleth.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use choropleth.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Hoverlabel",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "colorbar",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.choropleth import unselected
-from plotly.graph_objs.choropleth import selected
-from plotly.graph_objs.choropleth import marker
-from plotly.graph_objs.choropleth import hoverlabel
-from plotly.graph_objs.choropleth import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel", ".colorbar"],
+        [
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._hoverlabel.Hoverlabel",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/_colorbar.py b/packages/python/plotly/plotly/graph_objs/choropleth/_colorbar.py
new file mode 100644
index 00000000000..fca66c1ef86
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/_colorbar.py
@@ -0,0 +1,1939 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth"
+    _path_str = "choropleth.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.choropleth.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.choropleth.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.choropleth.col
+        orbar.tickformatstopdefaults), sets the default property values
+        to use for elements of choropleth.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use choropleth.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use choropleth.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.choropleth.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.chorop
+            leth.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            choropleth.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.choropleth.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use choropleth.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use choropleth.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.choropleth.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.chorop
+            leth.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            choropleth.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.choropleth.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use choropleth.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use choropleth.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/choropleth/_hoverlabel.py
new file mode 100644
index 00000000000..354c1391531
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth"
+    _path_str = "choropleth.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/_marker.py b/packages/python/plotly/plotly/graph_objs/choropleth/_marker.py
new file mode 100644
index 00000000000..ddb710a06ce
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/_marker.py
@@ -0,0 +1,179 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth"
+    _path_str = "choropleth.marker"
+    _valid_props = {"line", "opacity", "opacitysrc"}
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the locations.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        line
+            :class:`plotly.graph_objects.choropleth.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the locations.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        """
+
+    def __init__(self, arg=None, line=None, opacity=None, opacitysrc=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.Marker`
+        line
+            :class:`plotly.graph_objects.choropleth.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the locations.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/_selected.py b/packages/python/plotly/plotly/graph_objs/choropleth/_selected.py
new file mode 100644
index 00000000000..036064d5491
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/_selected.py
@@ -0,0 +1,106 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth"
+    _path_str = "choropleth.selected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.choropleth.selected.Marker
+            ` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.Selected`
+        marker
+            :class:`plotly.graph_objects.choropleth.selected.Marker
+            ` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/_stream.py b/packages/python/plotly/plotly/graph_objs/choropleth/_stream.py
new file mode 100644
index 00000000000..fa858214d56
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth"
+    _path_str = "choropleth.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/_unselected.py b/packages/python/plotly/plotly/graph_objs/choropleth/_unselected.py
new file mode 100644
index 00000000000..f21de91bc98
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/_unselected.py
@@ -0,0 +1,107 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth"
+    _path_str = "choropleth.unselected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.choropleth.unselected.Mark
+            er` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.Unselected`
+        marker
+            :class:`plotly.graph_objects.choropleth.unselected.Mark
+            er` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/__init__.py
index 82c8c0326d9..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.choropleth.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choropleth.col
-            orbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.choropleth.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_tickfont.py
new file mode 100644
index 00000000000..b1994415de6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.colorbar"
+    _path_str = "choropleth.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..edfa6e4b807
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.colorbar"
+    _path_str = "choropleth.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choropleth.col
+            orbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_title.py
new file mode 100644
index 00000000000..91511ebbd83
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.colorbar"
+    _path_str = "choropleth.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choropleth.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.choropleth.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/__init__.py
index e2dc56281b4..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choropleth.col
-            orbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/_font.py
new file mode 100644
index 00000000000..59f1143e0b9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.colorbar.title"
+    _path_str = "choropleth.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choropleth.col
+            orbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/__init__.py
index 4b29029a963..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/_font.py
new file mode 100644
index 00000000000..4f896d4b56a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.hoverlabel"
+    _path_str = "choropleth.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/marker/__init__.py
index 6118cc2017c..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/marker/__init__.py
@@ -1,244 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.marker.Line`
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/marker/_line.py b/packages/python/plotly/plotly/graph_objs/choropleth/marker/_line.py
new file mode 100644
index 00000000000..affd4f24034
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/marker/_line.py
@@ -0,0 +1,242 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.marker"
+    _path_str = "choropleth.marker.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.marker.Line`
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/selected/__init__.py
index 48469be2d46..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/selected/__init__.py
@@ -1,103 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the marker opacity of selected points.
-        """
-
-    def __init__(self, arg=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.selected.Marker`
-        opacity
-            Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/choropleth/selected/_marker.py
new file mode 100644
index 00000000000..96b1ac02795
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/selected/_marker.py
@@ -0,0 +1,98 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.selected"
+    _path_str = "choropleth.selected.marker"
+    _valid_props = {"opacity"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the marker opacity of selected points.
+        """
+
+    def __init__(self, arg=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.selected.Marker`
+        opacity
+            Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/choropleth/unselected/__init__.py
index c693e62abdf..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/choropleth/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/unselected/__init__.py
@@ -1,106 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choropleth.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choropleth.unselected.Marker`
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choropleth.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choropleth.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choropleth.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/choropleth/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/choropleth/unselected/_marker.py
new file mode 100644
index 00000000000..8b6bf68f5c6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choropleth/unselected/_marker.py
@@ -0,0 +1,101 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choropleth.unselected"
+    _path_str = "choropleth.unselected.marker"
+    _valid_props = {"opacity"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choropleth.unselected.Marker`
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choropleth.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choropleth.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/__init__.py
index fc4541a7cf9..9b12594cbb6 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/__init__.py
@@ -1,2921 +1,29 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.choroplethmapbox.unselecte
-            d.Marker` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.Unselected`
-        marker
-            :class:`plotly.graph_objects.choroplethmapbox.unselecte
-            d.Marker` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.choroplethmapbox.selected.
-            Marker` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.Selected`
-        marker
-            :class:`plotly.graph_objects.choroplethmapbox.selected.
-            Marker` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the locations.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        line
-            :class:`plotly.graph_objects.choroplethmapbox.marker.Li
-            ne` instance or dict with compatible properties
-        opacity
-            Sets the opacity of the locations.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        """
-
-    def __init__(self, arg=None, line=None, opacity=None, opacitysrc=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.Marker`
-        line
-            :class:`plotly.graph_objects.choroplethmapbox.marker.Li
-            ne` instance or dict with compatible properties
-        opacity
-            Sets the opacity of the locations.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.choroplethmapb
-        ox.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        choroplethmapbox.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use choroplethmapbox.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use choroplethmapbox.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.choroplethmapbo
-            x.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.chorop
-            lethmapbox.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            choroplethmapbox.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.choroplethmapbox.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            choroplethmapbox.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            choroplethmapbox.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.choroplethmapbo
-            x.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.chorop
-            lethmapbox.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            choroplethmapbox.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.choroplethmapbox.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            choroplethmapbox.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            choroplethmapbox.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Hoverlabel",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "colorbar",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.choroplethmapbox import unselected
-from plotly.graph_objs.choroplethmapbox import selected
-from plotly.graph_objs.choroplethmapbox import marker
-from plotly.graph_objs.choroplethmapbox import hoverlabel
-from plotly.graph_objs.choroplethmapbox import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel", ".colorbar"],
+        [
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._hoverlabel.Hoverlabel",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_colorbar.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_colorbar.py
new file mode 100644
index 00000000000..ea3b925bcd9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_colorbar.py
@@ -0,0 +1,1943 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox"
+    _path_str = "choroplethmapbox.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.choroplethmapb
+        ox.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        choroplethmapbox.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use choroplethmapbox.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use choroplethmapbox.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.choroplethmapbo
+            x.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.chorop
+            lethmapbox.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            choroplethmapbox.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.choroplethmapbox.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            choroplethmapbox.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            choroplethmapbox.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.choroplethmapbo
+            x.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.chorop
+            lethmapbox.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            choroplethmapbox.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.choroplethmapbox.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            choroplethmapbox.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            choroplethmapbox.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_hoverlabel.py
new file mode 100644
index 00000000000..24092ee5668
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox"
+    _path_str = "choroplethmapbox.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_marker.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_marker.py
new file mode 100644
index 00000000000..f2ec1334a55
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_marker.py
@@ -0,0 +1,179 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox"
+    _path_str = "choroplethmapbox.marker"
+    _valid_props = {"line", "opacity", "opacitysrc"}
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the locations.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        line
+            :class:`plotly.graph_objects.choroplethmapbox.marker.Li
+            ne` instance or dict with compatible properties
+        opacity
+            Sets the opacity of the locations.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        """
+
+    def __init__(self, arg=None, line=None, opacity=None, opacitysrc=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.Marker`
+        line
+            :class:`plotly.graph_objects.choroplethmapbox.marker.Li
+            ne` instance or dict with compatible properties
+        opacity
+            Sets the opacity of the locations.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_selected.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_selected.py
new file mode 100644
index 00000000000..ef1987d32f5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_selected.py
@@ -0,0 +1,106 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox"
+    _path_str = "choroplethmapbox.selected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.choroplethmapbox.selected.
+            Marker` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.Selected`
+        marker
+            :class:`plotly.graph_objects.choroplethmapbox.selected.
+            Marker` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_stream.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_stream.py
new file mode 100644
index 00000000000..8165a204fa3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox"
+    _path_str = "choroplethmapbox.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_unselected.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_unselected.py
new file mode 100644
index 00000000000..6a4c9e6120e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/_unselected.py
@@ -0,0 +1,107 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox"
+    _path_str = "choroplethmapbox.unselected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.choroplethmapbox.unselecte
+            d.Marker` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.Unselected`
+        marker
+            :class:`plotly.graph_objects.choroplethmapbox.unselecte
+            d.Marker` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/__init__.py
index e17d3b87126..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.choroplethmapbox.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.choroplethmapbox.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_tickfont.py
new file mode 100644
index 00000000000..11ca6d92eda
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.colorbar"
+    _path_str = "choroplethmapbox.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..67f64463f33
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.colorbar"
+    _path_str = "choroplethmapbox.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_title.py
new file mode 100644
index 00000000000..767657343b7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.colorbar"
+    _path_str = "choroplethmapbox.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.choroplethmapbox.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/__init__.py
index 8fdfff1439d..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/_font.py
new file mode 100644
index 00000000000..45d6871fe2e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.colorbar.title"
+    _path_str = "choroplethmapbox.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/__init__.py
index b27df50c3c8..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/_font.py
new file mode 100644
index 00000000000..4bc99476734
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.hoverlabel"
+    _path_str = "choroplethmapbox.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/__init__.py
index 1e31ec7dc89..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/__init__.py
@@ -1,244 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.choroplethmapbox.marker.Line`
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/_line.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/_line.py
new file mode 100644
index 00000000000..679b64fa596
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/marker/_line.py
@@ -0,0 +1,242 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.marker"
+    _path_str = "choroplethmapbox.marker.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.choroplethmapbox.marker.Line`
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/__init__.py
index 9d6e24e216d..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/__init__.py
@@ -1,103 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the marker opacity of selected points.
-        """
-
-    def __init__(self, arg=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.selected.Marker`
-        opacity
-            Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/_marker.py
new file mode 100644
index 00000000000..38c7f88865e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/_marker.py
@@ -0,0 +1,98 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.selected"
+    _path_str = "choroplethmapbox.selected.marker"
+    _valid_props = {"opacity"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the marker opacity of selected points.
+        """
+
+    def __init__(self, arg=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.selected.Marker`
+        opacity
+            Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/__init__.py
index da3aace0658..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/__init__.py
@@ -1,106 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "choroplethmapbox.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.choroplethmapb
-            ox.unselected.Marker`
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.choroplethmapbox.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.choroplethmapbox.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.choroplethmapbox.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/_marker.py
new file mode 100644
index 00000000000..993188d9592
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/choroplethmapbox/unselected/_marker.py
@@ -0,0 +1,101 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "choroplethmapbox.unselected"
+    _path_str = "choroplethmapbox.unselected.marker"
+    _valid_props = {"opacity"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.choroplethmapb
+            ox.unselected.Marker`
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.choroplethmapbox.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.choroplethmapbox.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/__init__.py b/packages/python/plotly/plotly/graph_objs/cone/__init__.py
index 81fb4e991f4..2e2095be755 100644
--- a/packages/python/plotly/plotly/graph_objs/cone/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/cone/__init__.py
@@ -1,2977 +1,24 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.cone.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lightposition(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Numeric vector, representing the X coordinate for each vertex.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Numeric vector, representing the Y coordinate for each vertex.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Numeric vector, representing the Z coordinate for each vertex.
-    
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Lightposition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.Lightposition`
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-
-        Returns
-        -------
-        Lightposition
-        """
-        super(Lightposition, self).__init__("lightposition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.Lightposition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.Lightposition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone import lightposition as v_lightposition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_lightposition.XValidator()
-        self._validators["y"] = v_lightposition.YValidator()
-        self._validators["z"] = v_lightposition.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lighting(_BaseTraceHierarchyType):
-
-    # ambient
-    # -------
-    @property
-    def ambient(self):
-        """
-        Ambient light increases overall color visibility but can wash
-        out the image.
-    
-        The 'ambient' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ambient"]
-
-    @ambient.setter
-    def ambient(self, val):
-        self["ambient"] = val
-
-    # diffuse
-    # -------
-    @property
-    def diffuse(self):
-        """
-        Represents the extent that incident rays are reflected in a
-        range of angles.
-    
-        The 'diffuse' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["diffuse"]
-
-    @diffuse.setter
-    def diffuse(self, val):
-        self["diffuse"] = val
-
-    # facenormalsepsilon
-    # ------------------
-    @property
-    def facenormalsepsilon(self):
-        """
-        Epsilon for face normals calculation avoids math issues arising
-        from degenerate geometry.
-    
-        The 'facenormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["facenormalsepsilon"]
-
-    @facenormalsepsilon.setter
-    def facenormalsepsilon(self, val):
-        self["facenormalsepsilon"] = val
-
-    # fresnel
-    # -------
-    @property
-    def fresnel(self):
-        """
-        Represents the reflectance as a dependency of the viewing
-        angle; e.g. paper is reflective when viewing it from the edge
-        of the paper (almost 90 degrees), causing shine.
-    
-        The 'fresnel' property is a number and may be specified as:
-          - An int or float in the interval [0, 5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fresnel"]
-
-    @fresnel.setter
-    def fresnel(self, val):
-        self["fresnel"] = val
-
-    # roughness
-    # ---------
-    @property
-    def roughness(self):
-        """
-        Alters specular reflection; the rougher the surface, the wider
-        and less contrasty the shine.
-    
-        The 'roughness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roughness"]
-
-    @roughness.setter
-    def roughness(self, val):
-        self["roughness"] = val
-
-    # specular
-    # --------
-    @property
-    def specular(self):
-        """
-        Represents the level that incident rays are reflected in a
-        single direction, causing shine.
-    
-        The 'specular' property is a number and may be specified as:
-          - An int or float in the interval [0, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["specular"]
-
-    @specular.setter
-    def specular(self, val):
-        self["specular"] = val
-
-    # vertexnormalsepsilon
-    # --------------------
-    @property
-    def vertexnormalsepsilon(self):
-        """
-        Epsilon for vertex normals calculation avoids math issues
-        arising from degenerate geometry.
-    
-        The 'vertexnormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["vertexnormalsepsilon"]
-
-    @vertexnormalsepsilon.setter
-    def vertexnormalsepsilon(self, val):
-        self["vertexnormalsepsilon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        ambient=None,
-        diffuse=None,
-        facenormalsepsilon=None,
-        fresnel=None,
-        roughness=None,
-        specular=None,
-        vertexnormalsepsilon=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lighting object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.cone.Lighting`
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-
-        Returns
-        -------
-        Lighting
-        """
-        super(Lighting, self).__init__("lighting")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.Lighting 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.Lighting`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone import lighting as v_lighting
-
-        # Initialize validators
-        # ---------------------
-        self._validators["ambient"] = v_lighting.AmbientValidator()
-        self._validators["diffuse"] = v_lighting.DiffuseValidator()
-        self._validators[
-            "facenormalsepsilon"
-        ] = v_lighting.FacenormalsepsilonValidator()
-        self._validators["fresnel"] = v_lighting.FresnelValidator()
-        self._validators["roughness"] = v_lighting.RoughnessValidator()
-        self._validators["specular"] = v_lighting.SpecularValidator()
-        self._validators[
-            "vertexnormalsepsilon"
-        ] = v_lighting.VertexnormalsepsilonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("ambient", None)
-        self["ambient"] = ambient if ambient is not None else _v
-        _v = arg.pop("diffuse", None)
-        self["diffuse"] = diffuse if diffuse is not None else _v
-        _v = arg.pop("facenormalsepsilon", None)
-        self["facenormalsepsilon"] = (
-            facenormalsepsilon if facenormalsepsilon is not None else _v
-        )
-        _v = arg.pop("fresnel", None)
-        self["fresnel"] = fresnel if fresnel is not None else _v
-        _v = arg.pop("roughness", None)
-        self["roughness"] = roughness if roughness is not None else _v
-        _v = arg.pop("specular", None)
-        self["specular"] = specular if specular is not None else _v
-        _v = arg.pop("vertexnormalsepsilon", None)
-        self["vertexnormalsepsilon"] = (
-            vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
-        )
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.cone.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.cone.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.cone.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.cone.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.cone.colorbar.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        cone.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.cone.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.cone.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use cone.colorbar.title.font instead. Sets
-        this color bar's title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use cone.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.cone.colorbar.T
-            ickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.cone.c
-            olorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            cone.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.cone.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use cone.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use cone.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.cone.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.cone.colorbar.T
-            ickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.cone.c
-            olorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            cone.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.cone.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use cone.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use cone.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Hoverlabel",
-    "Lighting",
-    "Lightposition",
-    "Stream",
-    "colorbar",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.cone import hoverlabel
-from plotly.graph_objs.cone import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._lightposition import Lightposition
+    from ._lighting import Lighting
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        [
+            "._stream.Stream",
+            "._lightposition.Lightposition",
+            "._lighting.Lighting",
+            "._hoverlabel.Hoverlabel",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/cone/_colorbar.py b/packages/python/plotly/plotly/graph_objs/cone/_colorbar.py
new file mode 100644
index 00000000000..9672946370f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/_colorbar.py
@@ -0,0 +1,1939 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone"
+    _path_str = "cone.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.cone.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.cone.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.cone.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.cone.colorbar.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        cone.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.cone.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.cone.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use cone.colorbar.title.font instead. Sets
+        this color bar's title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use cone.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.cone.colorbar.T
+            ickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.cone.c
+            olorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            cone.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.cone.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use cone.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use cone.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.cone.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.cone.colorbar.T
+            ickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.cone.c
+            olorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            cone.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.cone.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use cone.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use cone.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/cone/_hoverlabel.py
new file mode 100644
index 00000000000..df6592a3bd1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone"
+    _path_str = "cone.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.cone.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/_lighting.py b/packages/python/plotly/plotly/graph_objs/cone/_lighting.py
new file mode 100644
index 00000000000..b080e214614
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/_lighting.py
@@ -0,0 +1,310 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lighting(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone"
+    _path_str = "cone.lighting"
+    _valid_props = {
+        "ambient",
+        "diffuse",
+        "facenormalsepsilon",
+        "fresnel",
+        "roughness",
+        "specular",
+        "vertexnormalsepsilon",
+    }
+
+    # ambient
+    # -------
+    @property
+    def ambient(self):
+        """
+        Ambient light increases overall color visibility but can wash
+        out the image.
+    
+        The 'ambient' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ambient"]
+
+    @ambient.setter
+    def ambient(self, val):
+        self["ambient"] = val
+
+    # diffuse
+    # -------
+    @property
+    def diffuse(self):
+        """
+        Represents the extent that incident rays are reflected in a
+        range of angles.
+    
+        The 'diffuse' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["diffuse"]
+
+    @diffuse.setter
+    def diffuse(self, val):
+        self["diffuse"] = val
+
+    # facenormalsepsilon
+    # ------------------
+    @property
+    def facenormalsepsilon(self):
+        """
+        Epsilon for face normals calculation avoids math issues arising
+        from degenerate geometry.
+    
+        The 'facenormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["facenormalsepsilon"]
+
+    @facenormalsepsilon.setter
+    def facenormalsepsilon(self, val):
+        self["facenormalsepsilon"] = val
+
+    # fresnel
+    # -------
+    @property
+    def fresnel(self):
+        """
+        Represents the reflectance as a dependency of the viewing
+        angle; e.g. paper is reflective when viewing it from the edge
+        of the paper (almost 90 degrees), causing shine.
+    
+        The 'fresnel' property is a number and may be specified as:
+          - An int or float in the interval [0, 5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fresnel"]
+
+    @fresnel.setter
+    def fresnel(self, val):
+        self["fresnel"] = val
+
+    # roughness
+    # ---------
+    @property
+    def roughness(self):
+        """
+        Alters specular reflection; the rougher the surface, the wider
+        and less contrasty the shine.
+    
+        The 'roughness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roughness"]
+
+    @roughness.setter
+    def roughness(self, val):
+        self["roughness"] = val
+
+    # specular
+    # --------
+    @property
+    def specular(self):
+        """
+        Represents the level that incident rays are reflected in a
+        single direction, causing shine.
+    
+        The 'specular' property is a number and may be specified as:
+          - An int or float in the interval [0, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["specular"]
+
+    @specular.setter
+    def specular(self, val):
+        self["specular"] = val
+
+    # vertexnormalsepsilon
+    # --------------------
+    @property
+    def vertexnormalsepsilon(self):
+        """
+        Epsilon for vertex normals calculation avoids math issues
+        arising from degenerate geometry.
+    
+        The 'vertexnormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["vertexnormalsepsilon"]
+
+    @vertexnormalsepsilon.setter
+    def vertexnormalsepsilon(self, val):
+        self["vertexnormalsepsilon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        ambient=None,
+        diffuse=None,
+        facenormalsepsilon=None,
+        fresnel=None,
+        roughness=None,
+        specular=None,
+        vertexnormalsepsilon=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lighting object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.cone.Lighting`
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+
+        Returns
+        -------
+        Lighting
+        """
+        super(Lighting, self).__init__("lighting")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.Lighting 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.Lighting`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("ambient", None)
+        _v = ambient if ambient is not None else _v
+        if _v is not None:
+            self["ambient"] = _v
+        _v = arg.pop("diffuse", None)
+        _v = diffuse if diffuse is not None else _v
+        if _v is not None:
+            self["diffuse"] = _v
+        _v = arg.pop("facenormalsepsilon", None)
+        _v = facenormalsepsilon if facenormalsepsilon is not None else _v
+        if _v is not None:
+            self["facenormalsepsilon"] = _v
+        _v = arg.pop("fresnel", None)
+        _v = fresnel if fresnel is not None else _v
+        if _v is not None:
+            self["fresnel"] = _v
+        _v = arg.pop("roughness", None)
+        _v = roughness if roughness is not None else _v
+        if _v is not None:
+            self["roughness"] = _v
+        _v = arg.pop("specular", None)
+        _v = specular if specular is not None else _v
+        if _v is not None:
+            self["specular"] = _v
+        _v = arg.pop("vertexnormalsepsilon", None)
+        _v = vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
+        if _v is not None:
+            self["vertexnormalsepsilon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/_lightposition.py b/packages/python/plotly/plotly/graph_objs/cone/_lightposition.py
new file mode 100644
index 00000000000..c1416c0e2e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/_lightposition.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lightposition(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone"
+    _path_str = "cone.lightposition"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Numeric vector, representing the X coordinate for each vertex.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Numeric vector, representing the Y coordinate for each vertex.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Numeric vector, representing the Z coordinate for each vertex.
+    
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Lightposition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.Lightposition`
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+
+        Returns
+        -------
+        Lightposition
+        """
+        super(Lightposition, self).__init__("lightposition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.Lightposition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.Lightposition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/_stream.py b/packages/python/plotly/plotly/graph_objs/cone/_stream.py
new file mode 100644
index 00000000000..c603ac6c9ca
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone"
+    _path_str = "cone.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.cone.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/cone/colorbar/__init__.py
index 5c0e4f6d57a..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/cone/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/cone/colorbar/__init__.py
@@ -1,722 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.cone.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.cone.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone.colorbar import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.cone.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/cone/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/cone/colorbar/_tickfont.py
new file mode 100644
index 00000000000..5ea65d6c53d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone.colorbar"
+    _path_str = "cone.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/cone/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..8ef40470088
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone.colorbar"
+    _path_str = "cone.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/cone/colorbar/_title.py
new file mode 100644
index 00000000000..8534390154e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone.colorbar"
+    _path_str = "cone.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.cone.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.cone.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/__init__.py
index 67e316128ed..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/_font.py
new file mode 100644
index 00000000000..4f33c10bbbc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone.colorbar.title"
+    _path_str = "cone.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/__init__.py
index fd9172b6e1e..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "cone.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.cone.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.cone.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.cone.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.cone.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/_font.py
new file mode 100644
index 00000000000..3364022d899
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/cone/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "cone.hoverlabel"
+    _path_str = "cone.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.cone.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.cone.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.cone.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/__init__.py b/packages/python/plotly/plotly/graph_objs/contour/__init__.py
index 5bf409d3e90..bf7d30c6e4c 100644
--- a/packages/python/plotly/plotly/graph_objs/contour/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contour/__init__.py
@@ -1,3270 +1,25 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour level. Has no effect if
-        `contours.coloring` is set to "lines".
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Sets the amount of smoothing for the contour lines, where 0
-        corresponds to no smoothing.
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the contour line width in (in px) Defaults to 0.5 when
-        `contours.type` is "levels". Defaults to 2 when `contour.type`
-        is "constraint".
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour level. Has no effect if
-            `contours.coloring` is set to "lines".
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        smoothing
-            Sets the amount of smoothing for the contour lines,
-            where 0 corresponds to no smoothing.
-        width
-            Sets the contour line width in (in px) Defaults to 0.5
-            when `contours.type` is "levels". Defaults to 2 when
-            `contour.type` is "constraint".
-        """
-
-    def __init__(
-        self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.contour.Line`
-        color
-            Sets the color of the contour level. Has no effect if
-            `contours.coloring` is set to "lines".
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        smoothing
-            Sets the amount of smoothing for the contour lines,
-            where 0 corresponds to no smoothing.
-        width
-            Sets the contour line width in (in px) Defaults to 0.5
-            when `contours.type` is "levels". Defaults to 2 when
-            `contour.type` is "constraint".
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.contour.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contours(_BaseTraceHierarchyType):
-
-    # coloring
-    # --------
-    @property
-    def coloring(self):
-        """
-        Determines the coloring method showing the contour values. If
-        "fill", coloring is done evenly between each contour level If
-        "heatmap", a heatmap gradient coloring is applied between each
-        contour level. If "lines", coloring is done on the contour
-        lines. If "none", no coloring is applied on this trace.
-    
-        The 'coloring' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fill', 'heatmap', 'lines', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["coloring"]
-
-    @coloring.setter
-    def coloring(self, val):
-        self["coloring"] = val
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end contour level value. Must be more than
-        `contours.start`
-    
-        The 'end' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # labelfont
-    # ---------
-    @property
-    def labelfont(self):
-        """
-        Sets the font used for labeling the contour levels. The default
-        color comes from the lines, if shown. The default family and
-        size come from `layout.font`.
-    
-        The 'labelfont' property is an instance of Labelfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.contours.Labelfont`
-          - A dict of string/value properties that will be passed
-            to the Labelfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.contour.contours.Labelfont
-        """
-        return self["labelfont"]
-
-    @labelfont.setter
-    def labelfont(self, val):
-        self["labelfont"] = val
-
-    # labelformat
-    # -----------
-    @property
-    def labelformat(self):
-        """
-        Sets the contour label formatting rule using d3 formatting
-        mini-language which is very similar to Python, see:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'labelformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelformat"]
-
-    @labelformat.setter
-    def labelformat(self, val):
-        self["labelformat"] = val
-
-    # operation
-    # ---------
-    @property
-    def operation(self):
-        """
-        Sets the constraint operation. "=" keeps regions equal to
-        `value` "<" and "<=" keep regions less than `value` ">" and
-        ">=" keep regions greater than `value` "[]", "()", "[)", and
-        "(]" keep regions inside `value[0]` to `value[1]` "][", ")(",
-        "](", ")[" keep regions outside `value[0]` to value[1]` Open
-        vs. closed intervals make no difference to constraint display,
-        but all versions are allowed for consistency with filter
-        transforms.
-    
-        The 'operation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['=', '<', '>=', '>', '<=', '[]', '()', '[)', '(]', '][',
-                ')(', '](', ')[']
-
-        Returns
-        -------
-        Any
-        """
-        return self["operation"]
-
-    @operation.setter
-    def operation(self, val):
-        self["operation"] = val
-
-    # showlabels
-    # ----------
-    @property
-    def showlabels(self):
-        """
-        Determines whether to label the contour lines with their
-        values.
-    
-        The 'showlabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlabels"]
-
-    @showlabels.setter
-    def showlabels(self, val):
-        self["showlabels"] = val
-
-    # showlines
-    # ---------
-    @property
-    def showlines(self):
-        """
-        Determines whether or not the contour lines are drawn. Has an
-        effect only if `contours.coloring` is set to "fill".
-    
-        The 'showlines' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlines"]
-
-    @showlines.setter
-    def showlines(self, val):
-        self["showlines"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the step between each contour level. Must be positive.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting contour level value. Must be less than
-        `contours.end`
-    
-        The 'start' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        If `levels`, the data is represented as a contour plot with
-        multiple levels displayed. If `constraint`, the data is
-        represented as constraints with the invalid region shaded as
-        specified by the `operation` and `value` parameters.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['levels', 'constraint']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value or values of the constraint boundary. When
-        `operation` is set to one of the comparison values
-        (=,<,>=,>,<=) "value" is expected to be a number. When
-        `operation` is set to one of the interval values
-        ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of
-        two numbers where the first is the lower bound and the second
-        is the upper bound.
-    
-        The 'value' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        coloring
-            Determines the coloring method showing the contour
-            values. If "fill", coloring is done evenly between each
-            contour level If "heatmap", a heatmap gradient coloring
-            is applied between each contour level. If "lines",
-            coloring is done on the contour lines. If "none", no
-            coloring is applied on this trace.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        labelfont
-            Sets the font used for labeling the contour levels. The
-            default color comes from the lines, if shown. The
-            default family and size come from `layout.font`.
-        labelformat
-            Sets the contour label formatting rule using d3
-            formatting mini-language which is very similar to
-            Python, see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        operation
-            Sets the constraint operation. "=" keeps regions equal
-            to `value` "<" and "<=" keep regions less than `value`
-            ">" and ">=" keep regions greater than `value` "[]",
-            "()", "[)", and "(]" keep regions inside `value[0]` to
-            `value[1]` "][", ")(", "](", ")[" keep regions outside
-            `value[0]` to value[1]` Open vs. closed intervals make
-            no difference to constraint display, but all versions
-            are allowed for consistency with filter transforms.
-        showlabels
-            Determines whether to label the contour lines with
-            their values.
-        showlines
-            Determines whether or not the contour lines are drawn.
-            Has an effect only if `contours.coloring` is set to
-            "fill".
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        type
-            If `levels`, the data is represented as a contour plot
-            with multiple levels displayed. If `constraint`, the
-            data is represented as constraints with the invalid
-            region shaded as specified by the `operation` and
-            `value` parameters.
-        value
-            Sets the value or values of the constraint boundary.
-            When `operation` is set to one of the comparison values
-            (=,<,>=,>,<=) "value" is expected to be a number. When
-            `operation` is set to one of the interval values
-            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
-            array of two numbers where the first is the lower bound
-            and the second is the upper bound.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        coloring=None,
-        end=None,
-        labelfont=None,
-        labelformat=None,
-        operation=None,
-        showlabels=None,
-        showlines=None,
-        size=None,
-        start=None,
-        type=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Contours object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.Contours`
-        coloring
-            Determines the coloring method showing the contour
-            values. If "fill", coloring is done evenly between each
-            contour level If "heatmap", a heatmap gradient coloring
-            is applied between each contour level. If "lines",
-            coloring is done on the contour lines. If "none", no
-            coloring is applied on this trace.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        labelfont
-            Sets the font used for labeling the contour levels. The
-            default color comes from the lines, if shown. The
-            default family and size come from `layout.font`.
-        labelformat
-            Sets the contour label formatting rule using d3
-            formatting mini-language which is very similar to
-            Python, see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        operation
-            Sets the constraint operation. "=" keeps regions equal
-            to `value` "<" and "<=" keep regions less than `value`
-            ">" and ">=" keep regions greater than `value` "[]",
-            "()", "[)", and "(]" keep regions inside `value[0]` to
-            `value[1]` "][", ")(", "](", ")[" keep regions outside
-            `value[0]` to value[1]` Open vs. closed intervals make
-            no difference to constraint display, but all versions
-            are allowed for consistency with filter transforms.
-        showlabels
-            Determines whether to label the contour lines with
-            their values.
-        showlines
-            Determines whether or not the contour lines are drawn.
-            Has an effect only if `contours.coloring` is set to
-            "fill".
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        type
-            If `levels`, the data is represented as a contour plot
-            with multiple levels displayed. If `constraint`, the
-            data is represented as constraints with the invalid
-            region shaded as specified by the `operation` and
-            `value` parameters.
-        value
-            Sets the value or values of the constraint boundary.
-            When `operation` is set to one of the comparison values
-            (=,<,>=,>,<=) "value" is expected to be a number. When
-            `operation` is set to one of the interval values
-            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
-            array of two numbers where the first is the lower bound
-            and the second is the upper bound.
-
-        Returns
-        -------
-        Contours
-        """
-        super(Contours, self).__init__("contours")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.Contours 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.Contours`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour import contours as v_contours
-
-        # Initialize validators
-        # ---------------------
-        self._validators["coloring"] = v_contours.ColoringValidator()
-        self._validators["end"] = v_contours.EndValidator()
-        self._validators["labelfont"] = v_contours.LabelfontValidator()
-        self._validators["labelformat"] = v_contours.LabelformatValidator()
-        self._validators["operation"] = v_contours.OperationValidator()
-        self._validators["showlabels"] = v_contours.ShowlabelsValidator()
-        self._validators["showlines"] = v_contours.ShowlinesValidator()
-        self._validators["size"] = v_contours.SizeValidator()
-        self._validators["start"] = v_contours.StartValidator()
-        self._validators["type"] = v_contours.TypeValidator()
-        self._validators["value"] = v_contours.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("coloring", None)
-        self["coloring"] = coloring if coloring is not None else _v
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("labelfont", None)
-        self["labelfont"] = labelfont if labelfont is not None else _v
-        _v = arg.pop("labelformat", None)
-        self["labelformat"] = labelformat if labelformat is not None else _v
-        _v = arg.pop("operation", None)
-        self["operation"] = operation if operation is not None else _v
-        _v = arg.pop("showlabels", None)
-        self["showlabels"] = showlabels if showlabels is not None else _v
-        _v = arg.pop("showlines", None)
-        self["showlines"] = showlines if showlines is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.contour.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.contour.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.contour.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.contour.colorbar.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        contour.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.contour.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.contour.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use contour.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use contour.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.contour.colorba
-            r.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.contou
-            r.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            contour.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.contour.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use contour.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use contour.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.contour.colorba
-            r.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.contou
-            r.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            contour.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.contour.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use contour.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use contour.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Contours",
-    "Hoverlabel",
-    "Line",
-    "Stream",
-    "colorbar",
-    "contours",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.contour import hoverlabel
-from plotly.graph_objs.contour import contours
-from plotly.graph_objs.contour import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._contours import Contours
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import contours
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".contours", ".colorbar"],
+        [
+            "._stream.Stream",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+            "._contours.Contours",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/contour/_colorbar.py b/packages/python/plotly/plotly/graph_objs/contour/_colorbar.py
new file mode 100644
index 00000000000..c9ccef14af2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/_colorbar.py
@@ -0,0 +1,1940 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour"
+    _path_str = "contour.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.contour.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.contour.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.contour.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.contour.colorbar.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        contour.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.contour.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.contour.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use contour.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use contour.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.contour.colorba
+            r.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.contou
+            r.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            contour.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.contour.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use contour.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use contour.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.contour.colorba
+            r.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.contou
+            r.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            contour.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.contour.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use contour.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use contour.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/_contours.py b/packages/python/plotly/plotly/graph_objs/contour/_contours.py
new file mode 100644
index 00000000000..9f8ece948d1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/_contours.py
@@ -0,0 +1,530 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contours(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour"
+    _path_str = "contour.contours"
+    _valid_props = {
+        "coloring",
+        "end",
+        "labelfont",
+        "labelformat",
+        "operation",
+        "showlabels",
+        "showlines",
+        "size",
+        "start",
+        "type",
+        "value",
+    }
+
+    # coloring
+    # --------
+    @property
+    def coloring(self):
+        """
+        Determines the coloring method showing the contour values. If
+        "fill", coloring is done evenly between each contour level If
+        "heatmap", a heatmap gradient coloring is applied between each
+        contour level. If "lines", coloring is done on the contour
+        lines. If "none", no coloring is applied on this trace.
+    
+        The 'coloring' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fill', 'heatmap', 'lines', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["coloring"]
+
+    @coloring.setter
+    def coloring(self, val):
+        self["coloring"] = val
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end contour level value. Must be more than
+        `contours.start`
+    
+        The 'end' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # labelfont
+    # ---------
+    @property
+    def labelfont(self):
+        """
+        Sets the font used for labeling the contour levels. The default
+        color comes from the lines, if shown. The default family and
+        size come from `layout.font`.
+    
+        The 'labelfont' property is an instance of Labelfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.contours.Labelfont`
+          - A dict of string/value properties that will be passed
+            to the Labelfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.contour.contours.Labelfont
+        """
+        return self["labelfont"]
+
+    @labelfont.setter
+    def labelfont(self, val):
+        self["labelfont"] = val
+
+    # labelformat
+    # -----------
+    @property
+    def labelformat(self):
+        """
+        Sets the contour label formatting rule using d3 formatting
+        mini-language which is very similar to Python, see:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'labelformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelformat"]
+
+    @labelformat.setter
+    def labelformat(self, val):
+        self["labelformat"] = val
+
+    # operation
+    # ---------
+    @property
+    def operation(self):
+        """
+        Sets the constraint operation. "=" keeps regions equal to
+        `value` "<" and "<=" keep regions less than `value` ">" and
+        ">=" keep regions greater than `value` "[]", "()", "[)", and
+        "(]" keep regions inside `value[0]` to `value[1]` "][", ")(",
+        "](", ")[" keep regions outside `value[0]` to value[1]` Open
+        vs. closed intervals make no difference to constraint display,
+        but all versions are allowed for consistency with filter
+        transforms.
+    
+        The 'operation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['=', '<', '>=', '>', '<=', '[]', '()', '[)', '(]', '][',
+                ')(', '](', ')[']
+
+        Returns
+        -------
+        Any
+        """
+        return self["operation"]
+
+    @operation.setter
+    def operation(self, val):
+        self["operation"] = val
+
+    # showlabels
+    # ----------
+    @property
+    def showlabels(self):
+        """
+        Determines whether to label the contour lines with their
+        values.
+    
+        The 'showlabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlabels"]
+
+    @showlabels.setter
+    def showlabels(self, val):
+        self["showlabels"] = val
+
+    # showlines
+    # ---------
+    @property
+    def showlines(self):
+        """
+        Determines whether or not the contour lines are drawn. Has an
+        effect only if `contours.coloring` is set to "fill".
+    
+        The 'showlines' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlines"]
+
+    @showlines.setter
+    def showlines(self, val):
+        self["showlines"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the step between each contour level. Must be positive.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting contour level value. Must be less than
+        `contours.end`
+    
+        The 'start' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        If `levels`, the data is represented as a contour plot with
+        multiple levels displayed. If `constraint`, the data is
+        represented as constraints with the invalid region shaded as
+        specified by the `operation` and `value` parameters.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['levels', 'constraint']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value or values of the constraint boundary. When
+        `operation` is set to one of the comparison values
+        (=,<,>=,>,<=) "value" is expected to be a number. When
+        `operation` is set to one of the interval values
+        ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of
+        two numbers where the first is the lower bound and the second
+        is the upper bound.
+    
+        The 'value' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        coloring
+            Determines the coloring method showing the contour
+            values. If "fill", coloring is done evenly between each
+            contour level If "heatmap", a heatmap gradient coloring
+            is applied between each contour level. If "lines",
+            coloring is done on the contour lines. If "none", no
+            coloring is applied on this trace.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        labelfont
+            Sets the font used for labeling the contour levels. The
+            default color comes from the lines, if shown. The
+            default family and size come from `layout.font`.
+        labelformat
+            Sets the contour label formatting rule using d3
+            formatting mini-language which is very similar to
+            Python, see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        operation
+            Sets the constraint operation. "=" keeps regions equal
+            to `value` "<" and "<=" keep regions less than `value`
+            ">" and ">=" keep regions greater than `value` "[]",
+            "()", "[)", and "(]" keep regions inside `value[0]` to
+            `value[1]` "][", ")(", "](", ")[" keep regions outside
+            `value[0]` to value[1]` Open vs. closed intervals make
+            no difference to constraint display, but all versions
+            are allowed for consistency with filter transforms.
+        showlabels
+            Determines whether to label the contour lines with
+            their values.
+        showlines
+            Determines whether or not the contour lines are drawn.
+            Has an effect only if `contours.coloring` is set to
+            "fill".
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        type
+            If `levels`, the data is represented as a contour plot
+            with multiple levels displayed. If `constraint`, the
+            data is represented as constraints with the invalid
+            region shaded as specified by the `operation` and
+            `value` parameters.
+        value
+            Sets the value or values of the constraint boundary.
+            When `operation` is set to one of the comparison values
+            (=,<,>=,>,<=) "value" is expected to be a number. When
+            `operation` is set to one of the interval values
+            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
+            array of two numbers where the first is the lower bound
+            and the second is the upper bound.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        coloring=None,
+        end=None,
+        labelfont=None,
+        labelformat=None,
+        operation=None,
+        showlabels=None,
+        showlines=None,
+        size=None,
+        start=None,
+        type=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Contours object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.Contours`
+        coloring
+            Determines the coloring method showing the contour
+            values. If "fill", coloring is done evenly between each
+            contour level If "heatmap", a heatmap gradient coloring
+            is applied between each contour level. If "lines",
+            coloring is done on the contour lines. If "none", no
+            coloring is applied on this trace.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        labelfont
+            Sets the font used for labeling the contour levels. The
+            default color comes from the lines, if shown. The
+            default family and size come from `layout.font`.
+        labelformat
+            Sets the contour label formatting rule using d3
+            formatting mini-language which is very similar to
+            Python, see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        operation
+            Sets the constraint operation. "=" keeps regions equal
+            to `value` "<" and "<=" keep regions less than `value`
+            ">" and ">=" keep regions greater than `value` "[]",
+            "()", "[)", and "(]" keep regions inside `value[0]` to
+            `value[1]` "][", ")(", "](", ")[" keep regions outside
+            `value[0]` to value[1]` Open vs. closed intervals make
+            no difference to constraint display, but all versions
+            are allowed for consistency with filter transforms.
+        showlabels
+            Determines whether to label the contour lines with
+            their values.
+        showlines
+            Determines whether or not the contour lines are drawn.
+            Has an effect only if `contours.coloring` is set to
+            "fill".
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        type
+            If `levels`, the data is represented as a contour plot
+            with multiple levels displayed. If `constraint`, the
+            data is represented as constraints with the invalid
+            region shaded as specified by the `operation` and
+            `value` parameters.
+        value
+            Sets the value or values of the constraint boundary.
+            When `operation` is set to one of the comparison values
+            (=,<,>=,>,<=) "value" is expected to be a number. When
+            `operation` is set to one of the interval values
+            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
+            array of two numbers where the first is the lower bound
+            and the second is the upper bound.
+
+        Returns
+        -------
+        Contours
+        """
+        super(Contours, self).__init__("contours")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.Contours 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.Contours`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("coloring", None)
+        _v = coloring if coloring is not None else _v
+        if _v is not None:
+            self["coloring"] = _v
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("labelfont", None)
+        _v = labelfont if labelfont is not None else _v
+        if _v is not None:
+            self["labelfont"] = _v
+        _v = arg.pop("labelformat", None)
+        _v = labelformat if labelformat is not None else _v
+        if _v is not None:
+            self["labelformat"] = _v
+        _v = arg.pop("operation", None)
+        _v = operation if operation is not None else _v
+        if _v is not None:
+            self["operation"] = _v
+        _v = arg.pop("showlabels", None)
+        _v = showlabels if showlabels is not None else _v
+        if _v is not None:
+            self["showlabels"] = _v
+        _v = arg.pop("showlines", None)
+        _v = showlines if showlines is not None else _v
+        if _v is not None:
+            self["showlines"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/contour/_hoverlabel.py
new file mode 100644
index 00000000000..fa38aa12949
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour"
+    _path_str = "contour.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.contour.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/_line.py b/packages/python/plotly/plotly/graph_objs/contour/_line.py
new file mode 100644
index 00000000000..ffdd906e970
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/_line.py
@@ -0,0 +1,246 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour"
+    _path_str = "contour.line"
+    _valid_props = {"color", "dash", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour level. Has no effect if
+        `contours.coloring` is set to "lines".
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Sets the amount of smoothing for the contour lines, where 0
+        corresponds to no smoothing.
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the contour line width in (in px) Defaults to 0.5 when
+        `contours.type` is "levels". Defaults to 2 when `contour.type`
+        is "constraint".
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour level. Has no effect if
+            `contours.coloring` is set to "lines".
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        smoothing
+            Sets the amount of smoothing for the contour lines,
+            where 0 corresponds to no smoothing.
+        width
+            Sets the contour line width in (in px) Defaults to 0.5
+            when `contours.type` is "levels". Defaults to 2 when
+            `contour.type` is "constraint".
+        """
+
+    def __init__(
+        self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.contour.Line`
+        color
+            Sets the color of the contour level. Has no effect if
+            `contours.coloring` is set to "lines".
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        smoothing
+            Sets the amount of smoothing for the contour lines,
+            where 0 corresponds to no smoothing.
+        width
+            Sets the contour line width in (in px) Defaults to 0.5
+            when `contours.type` is "levels". Defaults to 2 when
+            `contour.type` is "constraint".
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/_stream.py b/packages/python/plotly/plotly/graph_objs/contour/_stream.py
new file mode 100644
index 00000000000..f4156aff2a5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour"
+    _path_str = "contour.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/contour/colorbar/__init__.py
index cbeaa4eed20..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/contour/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contour/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contour.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.contour.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.contour.colorb
-            ar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.contour.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/contour/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/contour/colorbar/_tickfont.py
new file mode 100644
index 00000000000..ca088c6ef22
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour.colorbar"
+    _path_str = "contour.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/contour/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..b46e6a2f276
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour.colorbar"
+    _path_str = "contour.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.contour.colorb
+            ar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/contour/colorbar/_title.py
new file mode 100644
index 00000000000..5e91e7cdab5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour.colorbar"
+    _path_str = "contour.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contour.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.contour.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/__init__.py
index 987e423df63..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/_font.py
new file mode 100644
index 00000000000..75b5ae6319e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour.colorbar.title"
+    _path_str = "contour.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/contours/__init__.py b/packages/python/plotly/plotly/graph_objs/contour/contours/__init__.py
index 69a8f1abfe8..4c1ccf7f8e8 100644
--- a/packages/python/plotly/plotly/graph_objs/contour/contours/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contour/contours/__init__.py
@@ -1,231 +1,10 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._labelfont import Labelfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Labelfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour.contours"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Labelfont object
-        
-        Sets the font used for labeling the contour levels. The default
-        color comes from the lines, if shown. The default family and
-        size come from `layout.font`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.contours.Labelfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Labelfont
-        """
-        super(Labelfont, self).__init__("labelfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.contours.Labelfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.contours.Labelfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour.contours import labelfont as v_labelfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_labelfont.ColorValidator()
-        self._validators["family"] = v_labelfont.FamilyValidator()
-        self._validators["size"] = v_labelfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Labelfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._labelfont.Labelfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/contour/contours/_labelfont.py b/packages/python/plotly/plotly/graph_objs/contour/contours/_labelfont.py
new file mode 100644
index 00000000000..e3ec7f5db7d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/contours/_labelfont.py
@@ -0,0 +1,228 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Labelfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour.contours"
+    _path_str = "contour.contours.labelfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Labelfont object
+        
+        Sets the font used for labeling the contour levels. The default
+        color comes from the lines, if shown. The default family and
+        size come from `layout.font`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.contours.Labelfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Labelfont
+        """
+        super(Labelfont, self).__init__("labelfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.contours.Labelfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.contours.Labelfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/__init__.py
index 003da325afc..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contour.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contour.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contour.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contour.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contour.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/_font.py
new file mode 100644
index 00000000000..944e5852f97
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contour/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contour.hoverlabel"
+    _path_str = "contour.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contour.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contour.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contour.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/__init__.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/__init__.py
index 39620566c41..bdd4610466c 100644
--- a/packages/python/plotly/plotly/graph_objs/contourcarpet/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/__init__.py
@@ -1,2771 +1,22 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contourcarpet.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour level. Has no effect if
-        `contours.coloring` is set to "lines".
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Sets the amount of smoothing for the contour lines, where 0
-        corresponds to no smoothing.
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the contour line width in (in px) Defaults to 0.5 when
-        `contours.type` is "levels". Defaults to 2 when `contour.type`
-        is "constraint".
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour level. Has no effect if
-            `contours.coloring` is set to "lines".
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        smoothing
-            Sets the amount of smoothing for the contour lines,
-            where 0 corresponds to no smoothing.
-        width
-            Sets the contour line width in (in px) Defaults to 0.5
-            when `contours.type` is "levels". Defaults to 2 when
-            `contour.type` is "constraint".
-        """
-
-    def __init__(
-        self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contourcarpet.Line`
-        color
-            Sets the color of the contour level. Has no effect if
-            `contours.coloring` is set to "lines".
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        smoothing
-            Sets the amount of smoothing for the contour lines,
-            where 0 corresponds to no smoothing.
-        width
-            Sets the contour line width in (in px) Defaults to 0.5
-            when `contours.type` is "levels". Defaults to 2 when
-            `contour.type` is "constraint".
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contours(_BaseTraceHierarchyType):
-
-    # coloring
-    # --------
-    @property
-    def coloring(self):
-        """
-        Determines the coloring method showing the contour values. If
-        "fill", coloring is done evenly between each contour level If
-        "lines", coloring is done on the contour lines. If "none", no
-        coloring is applied on this trace.
-    
-        The 'coloring' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fill', 'lines', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["coloring"]
-
-    @coloring.setter
-    def coloring(self, val):
-        self["coloring"] = val
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end contour level value. Must be more than
-        `contours.start`
-    
-        The 'end' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # labelfont
-    # ---------
-    @property
-    def labelfont(self):
-        """
-        Sets the font used for labeling the contour levels. The default
-        color comes from the lines, if shown. The default family and
-        size come from `layout.font`.
-    
-        The 'labelfont' property is an instance of Labelfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.contours.Labelfont`
-          - A dict of string/value properties that will be passed
-            to the Labelfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.contours.Labelfont
-        """
-        return self["labelfont"]
-
-    @labelfont.setter
-    def labelfont(self, val):
-        self["labelfont"] = val
-
-    # labelformat
-    # -----------
-    @property
-    def labelformat(self):
-        """
-        Sets the contour label formatting rule using d3 formatting
-        mini-language which is very similar to Python, see:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'labelformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelformat"]
-
-    @labelformat.setter
-    def labelformat(self, val):
-        self["labelformat"] = val
-
-    # operation
-    # ---------
-    @property
-    def operation(self):
-        """
-        Sets the constraint operation. "=" keeps regions equal to
-        `value` "<" and "<=" keep regions less than `value` ">" and
-        ">=" keep regions greater than `value` "[]", "()", "[)", and
-        "(]" keep regions inside `value[0]` to `value[1]` "][", ")(",
-        "](", ")[" keep regions outside `value[0]` to value[1]` Open
-        vs. closed intervals make no difference to constraint display,
-        but all versions are allowed for consistency with filter
-        transforms.
-    
-        The 'operation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['=', '<', '>=', '>', '<=', '[]', '()', '[)', '(]', '][',
-                ')(', '](', ')[']
-
-        Returns
-        -------
-        Any
-        """
-        return self["operation"]
-
-    @operation.setter
-    def operation(self, val):
-        self["operation"] = val
-
-    # showlabels
-    # ----------
-    @property
-    def showlabels(self):
-        """
-        Determines whether to label the contour lines with their
-        values.
-    
-        The 'showlabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlabels"]
-
-    @showlabels.setter
-    def showlabels(self, val):
-        self["showlabels"] = val
-
-    # showlines
-    # ---------
-    @property
-    def showlines(self):
-        """
-        Determines whether or not the contour lines are drawn. Has an
-        effect only if `contours.coloring` is set to "fill".
-    
-        The 'showlines' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlines"]
-
-    @showlines.setter
-    def showlines(self, val):
-        self["showlines"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the step between each contour level. Must be positive.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting contour level value. Must be less than
-        `contours.end`
-    
-        The 'start' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        If `levels`, the data is represented as a contour plot with
-        multiple levels displayed. If `constraint`, the data is
-        represented as constraints with the invalid region shaded as
-        specified by the `operation` and `value` parameters.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['levels', 'constraint']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value or values of the constraint boundary. When
-        `operation` is set to one of the comparison values
-        (=,<,>=,>,<=) "value" is expected to be a number. When
-        `operation` is set to one of the interval values
-        ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of
-        two numbers where the first is the lower bound and the second
-        is the upper bound.
-    
-        The 'value' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        coloring
-            Determines the coloring method showing the contour
-            values. If "fill", coloring is done evenly between each
-            contour level If "lines", coloring is done on the
-            contour lines. If "none", no coloring is applied on
-            this trace.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        labelfont
-            Sets the font used for labeling the contour levels. The
-            default color comes from the lines, if shown. The
-            default family and size come from `layout.font`.
-        labelformat
-            Sets the contour label formatting rule using d3
-            formatting mini-language which is very similar to
-            Python, see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        operation
-            Sets the constraint operation. "=" keeps regions equal
-            to `value` "<" and "<=" keep regions less than `value`
-            ">" and ">=" keep regions greater than `value` "[]",
-            "()", "[)", and "(]" keep regions inside `value[0]` to
-            `value[1]` "][", ")(", "](", ")[" keep regions outside
-            `value[0]` to value[1]` Open vs. closed intervals make
-            no difference to constraint display, but all versions
-            are allowed for consistency with filter transforms.
-        showlabels
-            Determines whether to label the contour lines with
-            their values.
-        showlines
-            Determines whether or not the contour lines are drawn.
-            Has an effect only if `contours.coloring` is set to
-            "fill".
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        type
-            If `levels`, the data is represented as a contour plot
-            with multiple levels displayed. If `constraint`, the
-            data is represented as constraints with the invalid
-            region shaded as specified by the `operation` and
-            `value` parameters.
-        value
-            Sets the value or values of the constraint boundary.
-            When `operation` is set to one of the comparison values
-            (=,<,>=,>,<=) "value" is expected to be a number. When
-            `operation` is set to one of the interval values
-            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
-            array of two numbers where the first is the lower bound
-            and the second is the upper bound.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        coloring=None,
-        end=None,
-        labelfont=None,
-        labelformat=None,
-        operation=None,
-        showlabels=None,
-        showlines=None,
-        size=None,
-        start=None,
-        type=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Contours object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contourcarpet.Contours`
-        coloring
-            Determines the coloring method showing the contour
-            values. If "fill", coloring is done evenly between each
-            contour level If "lines", coloring is done on the
-            contour lines. If "none", no coloring is applied on
-            this trace.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        labelfont
-            Sets the font used for labeling the contour levels. The
-            default color comes from the lines, if shown. The
-            default family and size come from `layout.font`.
-        labelformat
-            Sets the contour label formatting rule using d3
-            formatting mini-language which is very similar to
-            Python, see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        operation
-            Sets the constraint operation. "=" keeps regions equal
-            to `value` "<" and "<=" keep regions less than `value`
-            ">" and ">=" keep regions greater than `value` "[]",
-            "()", "[)", and "(]" keep regions inside `value[0]` to
-            `value[1]` "][", ")(", "](", ")[" keep regions outside
-            `value[0]` to value[1]` Open vs. closed intervals make
-            no difference to constraint display, but all versions
-            are allowed for consistency with filter transforms.
-        showlabels
-            Determines whether to label the contour lines with
-            their values.
-        showlines
-            Determines whether or not the contour lines are drawn.
-            Has an effect only if `contours.coloring` is set to
-            "fill".
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        type
-            If `levels`, the data is represented as a contour plot
-            with multiple levels displayed. If `constraint`, the
-            data is represented as constraints with the invalid
-            region shaded as specified by the `operation` and
-            `value` parameters.
-        value
-            Sets the value or values of the constraint boundary.
-            When `operation` is set to one of the comparison values
-            (=,<,>=,>,<=) "value" is expected to be a number. When
-            `operation` is set to one of the interval values
-            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
-            array of two numbers where the first is the lower bound
-            and the second is the upper bound.
-
-        Returns
-        -------
-        Contours
-        """
-        super(Contours, self).__init__("contours")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.Contours 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.Contours`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet import contours as v_contours
-
-        # Initialize validators
-        # ---------------------
-        self._validators["coloring"] = v_contours.ColoringValidator()
-        self._validators["end"] = v_contours.EndValidator()
-        self._validators["labelfont"] = v_contours.LabelfontValidator()
-        self._validators["labelformat"] = v_contours.LabelformatValidator()
-        self._validators["operation"] = v_contours.OperationValidator()
-        self._validators["showlabels"] = v_contours.ShowlabelsValidator()
-        self._validators["showlines"] = v_contours.ShowlinesValidator()
-        self._validators["size"] = v_contours.SizeValidator()
-        self._validators["start"] = v_contours.StartValidator()
-        self._validators["type"] = v_contours.TypeValidator()
-        self._validators["value"] = v_contours.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("coloring", None)
-        self["coloring"] = coloring if coloring is not None else _v
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("labelfont", None)
-        self["labelfont"] = labelfont if labelfont is not None else _v
-        _v = arg.pop("labelformat", None)
-        self["labelformat"] = labelformat if labelformat is not None else _v
-        _v = arg.pop("operation", None)
-        self["operation"] = operation if operation is not None else _v
-        _v = arg.pop("showlabels", None)
-        self["showlabels"] = showlabels if showlabels is not None else _v
-        _v = arg.pop("showlines", None)
-        self["showlines"] = showlines if showlines is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.contourcarpet.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.contourcarpet.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.contourcarpet.
-        colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        contourcarpet.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use contourcarpet.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use contourcarpet.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.contourcarpet.c
-            olorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.contou
-            rcarpet.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            contourcarpet.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.contourcarpet.colorbar.Tit
-            le` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            contourcarpet.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            contourcarpet.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contourcarpet.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.contourcarpet.c
-            olorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.contou
-            rcarpet.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            contourcarpet.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.contourcarpet.colorbar.Tit
-            le` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            contourcarpet.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            contourcarpet.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Contours", "Line", "Stream", "colorbar", "contours"]
-
-from plotly.graph_objs.contourcarpet import contours
-from plotly.graph_objs.contourcarpet import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._line import Line
+    from ._contours import Contours
+    from ._colorbar import ColorBar
+    from . import contours
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".contours", ".colorbar"],
+        [
+            "._stream.Stream",
+            "._line.Line",
+            "._contours.Contours",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/_colorbar.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/_colorbar.py
new file mode 100644
index 00000000000..8cc36cf5bd4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet"
+    _path_str = "contourcarpet.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.contourcarpet.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.contourcarpet.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.contourcarpet.
+        colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        contourcarpet.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use contourcarpet.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use contourcarpet.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.contourcarpet.c
+            olorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.contou
+            rcarpet.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            contourcarpet.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.contourcarpet.colorbar.Tit
+            le` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            contourcarpet.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            contourcarpet.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contourcarpet.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.contourcarpet.c
+            olorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.contou
+            rcarpet.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            contourcarpet.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.contourcarpet.colorbar.Tit
+            le` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            contourcarpet.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            contourcarpet.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/_contours.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/_contours.py
new file mode 100644
index 00000000000..cddd0f73a98
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/_contours.py
@@ -0,0 +1,527 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contours(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet"
+    _path_str = "contourcarpet.contours"
+    _valid_props = {
+        "coloring",
+        "end",
+        "labelfont",
+        "labelformat",
+        "operation",
+        "showlabels",
+        "showlines",
+        "size",
+        "start",
+        "type",
+        "value",
+    }
+
+    # coloring
+    # --------
+    @property
+    def coloring(self):
+        """
+        Determines the coloring method showing the contour values. If
+        "fill", coloring is done evenly between each contour level If
+        "lines", coloring is done on the contour lines. If "none", no
+        coloring is applied on this trace.
+    
+        The 'coloring' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fill', 'lines', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["coloring"]
+
+    @coloring.setter
+    def coloring(self, val):
+        self["coloring"] = val
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end contour level value. Must be more than
+        `contours.start`
+    
+        The 'end' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # labelfont
+    # ---------
+    @property
+    def labelfont(self):
+        """
+        Sets the font used for labeling the contour levels. The default
+        color comes from the lines, if shown. The default family and
+        size come from `layout.font`.
+    
+        The 'labelfont' property is an instance of Labelfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.contours.Labelfont`
+          - A dict of string/value properties that will be passed
+            to the Labelfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.contours.Labelfont
+        """
+        return self["labelfont"]
+
+    @labelfont.setter
+    def labelfont(self, val):
+        self["labelfont"] = val
+
+    # labelformat
+    # -----------
+    @property
+    def labelformat(self):
+        """
+        Sets the contour label formatting rule using d3 formatting
+        mini-language which is very similar to Python, see:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'labelformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelformat"]
+
+    @labelformat.setter
+    def labelformat(self, val):
+        self["labelformat"] = val
+
+    # operation
+    # ---------
+    @property
+    def operation(self):
+        """
+        Sets the constraint operation. "=" keeps regions equal to
+        `value` "<" and "<=" keep regions less than `value` ">" and
+        ">=" keep regions greater than `value` "[]", "()", "[)", and
+        "(]" keep regions inside `value[0]` to `value[1]` "][", ")(",
+        "](", ")[" keep regions outside `value[0]` to value[1]` Open
+        vs. closed intervals make no difference to constraint display,
+        but all versions are allowed for consistency with filter
+        transforms.
+    
+        The 'operation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['=', '<', '>=', '>', '<=', '[]', '()', '[)', '(]', '][',
+                ')(', '](', ')[']
+
+        Returns
+        -------
+        Any
+        """
+        return self["operation"]
+
+    @operation.setter
+    def operation(self, val):
+        self["operation"] = val
+
+    # showlabels
+    # ----------
+    @property
+    def showlabels(self):
+        """
+        Determines whether to label the contour lines with their
+        values.
+    
+        The 'showlabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlabels"]
+
+    @showlabels.setter
+    def showlabels(self, val):
+        self["showlabels"] = val
+
+    # showlines
+    # ---------
+    @property
+    def showlines(self):
+        """
+        Determines whether or not the contour lines are drawn. Has an
+        effect only if `contours.coloring` is set to "fill".
+    
+        The 'showlines' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlines"]
+
+    @showlines.setter
+    def showlines(self, val):
+        self["showlines"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the step between each contour level. Must be positive.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting contour level value. Must be less than
+        `contours.end`
+    
+        The 'start' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        If `levels`, the data is represented as a contour plot with
+        multiple levels displayed. If `constraint`, the data is
+        represented as constraints with the invalid region shaded as
+        specified by the `operation` and `value` parameters.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['levels', 'constraint']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value or values of the constraint boundary. When
+        `operation` is set to one of the comparison values
+        (=,<,>=,>,<=) "value" is expected to be a number. When
+        `operation` is set to one of the interval values
+        ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of
+        two numbers where the first is the lower bound and the second
+        is the upper bound.
+    
+        The 'value' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        coloring
+            Determines the coloring method showing the contour
+            values. If "fill", coloring is done evenly between each
+            contour level If "lines", coloring is done on the
+            contour lines. If "none", no coloring is applied on
+            this trace.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        labelfont
+            Sets the font used for labeling the contour levels. The
+            default color comes from the lines, if shown. The
+            default family and size come from `layout.font`.
+        labelformat
+            Sets the contour label formatting rule using d3
+            formatting mini-language which is very similar to
+            Python, see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        operation
+            Sets the constraint operation. "=" keeps regions equal
+            to `value` "<" and "<=" keep regions less than `value`
+            ">" and ">=" keep regions greater than `value` "[]",
+            "()", "[)", and "(]" keep regions inside `value[0]` to
+            `value[1]` "][", ")(", "](", ")[" keep regions outside
+            `value[0]` to value[1]` Open vs. closed intervals make
+            no difference to constraint display, but all versions
+            are allowed for consistency with filter transforms.
+        showlabels
+            Determines whether to label the contour lines with
+            their values.
+        showlines
+            Determines whether or not the contour lines are drawn.
+            Has an effect only if `contours.coloring` is set to
+            "fill".
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        type
+            If `levels`, the data is represented as a contour plot
+            with multiple levels displayed. If `constraint`, the
+            data is represented as constraints with the invalid
+            region shaded as specified by the `operation` and
+            `value` parameters.
+        value
+            Sets the value or values of the constraint boundary.
+            When `operation` is set to one of the comparison values
+            (=,<,>=,>,<=) "value" is expected to be a number. When
+            `operation` is set to one of the interval values
+            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
+            array of two numbers where the first is the lower bound
+            and the second is the upper bound.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        coloring=None,
+        end=None,
+        labelfont=None,
+        labelformat=None,
+        operation=None,
+        showlabels=None,
+        showlines=None,
+        size=None,
+        start=None,
+        type=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Contours object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contourcarpet.Contours`
+        coloring
+            Determines the coloring method showing the contour
+            values. If "fill", coloring is done evenly between each
+            contour level If "lines", coloring is done on the
+            contour lines. If "none", no coloring is applied on
+            this trace.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        labelfont
+            Sets the font used for labeling the contour levels. The
+            default color comes from the lines, if shown. The
+            default family and size come from `layout.font`.
+        labelformat
+            Sets the contour label formatting rule using d3
+            formatting mini-language which is very similar to
+            Python, see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        operation
+            Sets the constraint operation. "=" keeps regions equal
+            to `value` "<" and "<=" keep regions less than `value`
+            ">" and ">=" keep regions greater than `value` "[]",
+            "()", "[)", and "(]" keep regions inside `value[0]` to
+            `value[1]` "][", ")(", "](", ")[" keep regions outside
+            `value[0]` to value[1]` Open vs. closed intervals make
+            no difference to constraint display, but all versions
+            are allowed for consistency with filter transforms.
+        showlabels
+            Determines whether to label the contour lines with
+            their values.
+        showlines
+            Determines whether or not the contour lines are drawn.
+            Has an effect only if `contours.coloring` is set to
+            "fill".
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        type
+            If `levels`, the data is represented as a contour plot
+            with multiple levels displayed. If `constraint`, the
+            data is represented as constraints with the invalid
+            region shaded as specified by the `operation` and
+            `value` parameters.
+        value
+            Sets the value or values of the constraint boundary.
+            When `operation` is set to one of the comparison values
+            (=,<,>=,>,<=) "value" is expected to be a number. When
+            `operation` is set to one of the interval values
+            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
+            array of two numbers where the first is the lower bound
+            and the second is the upper bound.
+
+        Returns
+        -------
+        Contours
+        """
+        super(Contours, self).__init__("contours")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.Contours 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.Contours`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("coloring", None)
+        _v = coloring if coloring is not None else _v
+        if _v is not None:
+            self["coloring"] = _v
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("labelfont", None)
+        _v = labelfont if labelfont is not None else _v
+        if _v is not None:
+            self["labelfont"] = _v
+        _v = arg.pop("labelformat", None)
+        _v = labelformat if labelformat is not None else _v
+        if _v is not None:
+            self["labelformat"] = _v
+        _v = arg.pop("operation", None)
+        _v = operation if operation is not None else _v
+        if _v is not None:
+            self["operation"] = _v
+        _v = arg.pop("showlabels", None)
+        _v = showlabels if showlabels is not None else _v
+        if _v is not None:
+            self["showlabels"] = _v
+        _v = arg.pop("showlines", None)
+        _v = showlines if showlines is not None else _v
+        if _v is not None:
+            self["showlines"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/_line.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/_line.py
new file mode 100644
index 00000000000..d60d1867bd0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/_line.py
@@ -0,0 +1,247 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet"
+    _path_str = "contourcarpet.line"
+    _valid_props = {"color", "dash", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour level. Has no effect if
+        `contours.coloring` is set to "lines".
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Sets the amount of smoothing for the contour lines, where 0
+        corresponds to no smoothing.
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the contour line width in (in px) Defaults to 0.5 when
+        `contours.type` is "levels". Defaults to 2 when `contour.type`
+        is "constraint".
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour level. Has no effect if
+            `contours.coloring` is set to "lines".
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        smoothing
+            Sets the amount of smoothing for the contour lines,
+            where 0 corresponds to no smoothing.
+        width
+            Sets the contour line width in (in px) Defaults to 0.5
+            when `contours.type` is "levels". Defaults to 2 when
+            `contour.type` is "constraint".
+        """
+
+    def __init__(
+        self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contourcarpet.Line`
+        color
+            Sets the color of the contour level. Has no effect if
+            `contours.coloring` is set to "lines".
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        smoothing
+            Sets the amount of smoothing for the contour lines,
+            where 0 corresponds to no smoothing.
+        width
+            Sets the contour line width in (in px) Defaults to 0.5
+            when `contours.type` is "levels". Defaults to 2 when
+            `contour.type` is "constraint".
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/_stream.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/_stream.py
new file mode 100644
index 00000000000..f1a19f6e242
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet"
+    _path_str = "contourcarpet.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contourcarpet.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/__init__.py
index 85b00cea223..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.contourcarpet.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.contourcarpet.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.contourcarpet.
-            colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.contourcarpet.
-            colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.contourcarpet.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_tickfont.py
new file mode 100644
index 00000000000..ee4fba08883
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet.colorbar"
+    _path_str = "contourcarpet.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.contourcarpet.
+            colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..a9b3f38db60
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet.colorbar"
+    _path_str = "contourcarpet.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.contourcarpet.
+            colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_title.py
new file mode 100644
index 00000000000..add98b33898
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet.colorbar"
+    _path_str = "contourcarpet.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.contourcarpet.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.contourcarpet.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.contourcarpet.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/__init__.py
index e9483029ace..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.contourcarpet.
-            colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/_font.py
new file mode 100644
index 00000000000..b9332ea2892
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet.colorbar.title"
+    _path_str = "contourcarpet.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.contourcarpet.
+            colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/__init__.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/__init__.py
index 85f436be790..4c1ccf7f8e8 100644
--- a/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/__init__.py
@@ -1,231 +1,10 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._labelfont import Labelfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Labelfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "contourcarpet.contours"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Labelfont object
-        
-        Sets the font used for labeling the contour levels. The default
-        color comes from the lines, if shown. The default family and
-        size come from `layout.font`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.contourcarpet.
-            contours.Labelfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Labelfont
-        """
-        super(Labelfont, self).__init__("labelfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.contourcarpet.contours.Labelfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.contourcarpet.contours.Labelfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.contourcarpet.contours import labelfont as v_labelfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_labelfont.ColorValidator()
-        self._validators["family"] = v_labelfont.FamilyValidator()
-        self._validators["size"] = v_labelfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Labelfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._labelfont.Labelfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/_labelfont.py b/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/_labelfont.py
new file mode 100644
index 00000000000..825ef6e173a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/contourcarpet/contours/_labelfont.py
@@ -0,0 +1,228 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Labelfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "contourcarpet.contours"
+    _path_str = "contourcarpet.contours.labelfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Labelfont object
+        
+        Sets the font used for labeling the contour levels. The default
+        color comes from the lines, if shown. The default family and
+        size come from `layout.font`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.contourcarpet.
+            contours.Labelfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Labelfont
+        """
+        super(Labelfont, self).__init__("labelfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.contourcarpet.contours.Labelfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.contourcarpet.contours.Labelfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/__init__.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/__init__.py
index 3eac25057dd..6f74f557def 100644
--- a/packages/python/plotly/plotly/graph_objs/densitymapbox/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/__init__.py
@@ -1,2502 +1,16 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.densitymapbox.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.densitymapbox.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.densitymapbox.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.densitymapbox.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.densitymapbox.
-        colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        densitymapbox.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use densitymapbox.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use densitymapbox.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.densitymapbox.c
-            olorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.densit
-            ymapbox.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            densitymapbox.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.densitymapbox.colorbar.Tit
-            le` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            densitymapbox.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            densitymapbox.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.densitymapbox.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.densitymapbox.c
-            olorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.densit
-            ymapbox.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            densitymapbox.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.densitymapbox.colorbar.Tit
-            le` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            densitymapbox.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            densitymapbox.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Hoverlabel", "Stream", "colorbar", "hoverlabel"]
-
-from plotly.graph_objs.densitymapbox import hoverlabel
-from plotly.graph_objs.densitymapbox import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        ["._stream.Stream", "._hoverlabel.Hoverlabel", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/_colorbar.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/_colorbar.py
new file mode 100644
index 00000000000..2a05755b66e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox"
+    _path_str = "densitymapbox.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.densitymapbox.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.densitymapbox.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.densitymapbox.
+        colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        densitymapbox.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use densitymapbox.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use densitymapbox.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.densitymapbox.c
+            olorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.densit
+            ymapbox.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            densitymapbox.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.densitymapbox.colorbar.Tit
+            le` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            densitymapbox.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            densitymapbox.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.densitymapbox.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.densitymapbox.c
+            olorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.densit
+            ymapbox.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            densitymapbox.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.densitymapbox.colorbar.Tit
+            le` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            densitymapbox.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            densitymapbox.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/_hoverlabel.py
new file mode 100644
index 00000000000..2bfe6e29a26
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox"
+    _path_str = "densitymapbox.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.densitymapbox.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/_stream.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/_stream.py
new file mode 100644
index 00000000000..204525cc2fe
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox"
+    _path_str = "densitymapbox.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.densitymapbox.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/__init__.py
index 47ac2723c9e..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.densitymapbox.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.densitymapbox.
-            colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.densitymapbox.
-            colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.densitymapbox.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_tickfont.py
new file mode 100644
index 00000000000..1486a85f6e9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox.colorbar"
+    _path_str = "densitymapbox.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.densitymapbox.
+            colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..cd04f57a868
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox.colorbar"
+    _path_str = "densitymapbox.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.densitymapbox.
+            colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_title.py
new file mode 100644
index 00000000000..430c7f31aa0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox.colorbar"
+    _path_str = "densitymapbox.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.densitymapbox.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/__init__.py
index d1b6889c602..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.densitymapbox.
-            colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/_font.py
new file mode 100644
index 00000000000..ce4deeff349
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox.colorbar.title"
+    _path_str = "densitymapbox.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.densitymapbox.
+            colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/__init__.py
index 31375bafc69..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "densitymapbox.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.densitymapbox.
-            hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.densitymapbox.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.densitymapbox.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.densitymapbox.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/_font.py
new file mode 100644
index 00000000000..1c534ece4e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/densitymapbox/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "densitymapbox.hoverlabel"
+    _path_str = "densitymapbox.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.densitymapbox.
+            hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.densitymapbox.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.densitymapbox.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/__init__.py b/packages/python/plotly/plotly/graph_objs/funnel/__init__.py
index 58ec5e60df4..651f5d2633e 100644
--- a/packages/python/plotly/plotly/graph_objs/funnel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnel/__init__.py
@@ -1,2866 +1,29 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `text`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.funnel.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Outsidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Outsidetextfont object
-        
-        Sets the font used for `text` lying outside the bar.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.Outsidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Outsidetextfont
-        """
-        super(Outsidetextfont, self).__init__("outsidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Outsidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Outsidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import outsidetextfont as v_outsidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_outsidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_outsidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_outsidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_outsidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_outsidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_outsidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to funnel.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.funnel.
-                    marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.funnel.marker.colorbar.tickformatstopdefaults
-                    ), sets the default property values to use for
-                    elements of
-                    funnel.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.funnel.marker.colo
-                    rbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    funnel.marker.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    funnel.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the bars.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.funnel.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.funnel.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.funnel.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.funnel.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.funnel.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `text` lying inside the bar.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Connector(_BaseTraceHierarchyType):
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the fill color.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.connector.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.connector.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines if connector regions and lines are drawn.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fillcolor
-            Sets the fill color.
-        line
-            :class:`plotly.graph_objects.funnel.connector.Line`
-            instance or dict with compatible properties
-        visible
-            Determines if connector regions and lines are drawn.
-        """
-
-    def __init__(self, arg=None, fillcolor=None, line=None, visible=None, **kwargs):
-        """
-        Construct a new Connector object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.Connector`
-        fillcolor
-            Sets the fill color.
-        line
-            :class:`plotly.graph_objects.funnel.connector.Line`
-            instance or dict with compatible properties
-        visible
-            Determines if connector regions and lines are drawn.
-
-        Returns
-        -------
-        Connector
-        """
-        super(Connector, self).__init__("connector")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.Connector 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.Connector`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel import connector as v_connector
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fillcolor"] = v_connector.FillcolorValidator()
-        self._validators["line"] = v_connector.LineValidator()
-        self._validators["visible"] = v_connector.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Connector",
-    "Hoverlabel",
-    "Insidetextfont",
-    "Marker",
-    "Outsidetextfont",
-    "Stream",
-    "Textfont",
-    "connector",
-    "hoverlabel",
-    "marker",
-]
-
-from plotly.graph_objs.funnel import marker
-from plotly.graph_objs.funnel import hoverlabel
-from plotly.graph_objs.funnel import connector
+import sys
+
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._outsidetextfont import Outsidetextfont
+    from ._marker import Marker
+    from ._insidetextfont import Insidetextfont
+    from ._hoverlabel import Hoverlabel
+    from ._connector import Connector
+    from . import marker
+    from . import hoverlabel
+    from . import connector
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".marker", ".hoverlabel", ".connector"],
+        [
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._outsidetextfont.Outsidetextfont",
+            "._marker.Marker",
+            "._insidetextfont.Insidetextfont",
+            "._hoverlabel.Hoverlabel",
+            "._connector.Connector",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_connector.py b/packages/python/plotly/plotly/graph_objs/funnel/_connector.py
new file mode 100644
index 00000000000..19f52cd4990
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_connector.py
@@ -0,0 +1,208 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Connector(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.connector"
+    _valid_props = {"fillcolor", "line", "visible"}
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the fill color.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.connector.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.connector.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines if connector regions and lines are drawn.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fillcolor
+            Sets the fill color.
+        line
+            :class:`plotly.graph_objects.funnel.connector.Line`
+            instance or dict with compatible properties
+        visible
+            Determines if connector regions and lines are drawn.
+        """
+
+    def __init__(self, arg=None, fillcolor=None, line=None, visible=None, **kwargs):
+        """
+        Construct a new Connector object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.Connector`
+        fillcolor
+            Sets the fill color.
+        line
+            :class:`plotly.graph_objects.funnel.connector.Line`
+            instance or dict with compatible properties
+        visible
+            Determines if connector regions and lines are drawn.
+
+        Returns
+        -------
+        Connector
+        """
+        super(Connector, self).__init__("connector")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Connector 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Connector`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/funnel/_hoverlabel.py
new file mode 100644
index 00000000000..ad01e1684c0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/funnel/_insidetextfont.py
new file mode 100644
index 00000000000..894163c56cc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `text` lying inside the bar.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_marker.py b/packages/python/plotly/plotly/graph_objs/funnel/_marker.py
new file mode 100644
index 00000000000..a9a2dee5913
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_marker.py
@@ -0,0 +1,1052 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to funnel.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.funnel.
+                    marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.funnel.marker.colorbar.tickformatstopdefaults
+                    ), sets the default property values to use for
+                    elements of
+                    funnel.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.funnel.marker.colo
+                    rbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    funnel.marker.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    funnel.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the bars.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.funnel.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.funnel.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.funnel.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.funnel.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.funnel.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_outsidetextfont.py b/packages/python/plotly/plotly/graph_objs/funnel/_outsidetextfont.py
new file mode 100644
index 00000000000..316757b3b38
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_outsidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Outsidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.outsidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Outsidetextfont object
+        
+        Sets the font used for `text` lying outside the bar.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.Outsidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Outsidetextfont
+        """
+        super(Outsidetextfont, self).__init__("outsidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Outsidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Outsidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_stream.py b/packages/python/plotly/plotly/graph_objs/funnel/_stream.py
new file mode 100644
index 00000000000..9b9ca36ed05
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.funnel.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/_textfont.py b/packages/python/plotly/plotly/graph_objs/funnel/_textfont.py
new file mode 100644
index 00000000000..b949c42f520
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel"
+    _path_str = "funnel.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `text`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/connector/__init__.py b/packages/python/plotly/plotly/graph_objs/funnel/connector/__init__.py
index 820eb711998..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/funnel/connector/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnel/connector/__init__.py
@@ -1,208 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is a string and must be specified as:
-          - One of the following strings:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.connector"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.connector.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.connector.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.connector.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.connector import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/connector/_line.py b/packages/python/plotly/plotly/graph_objs/funnel/connector/_line.py
new file mode 100644
index 00000000000..307d4313035
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/connector/_line.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.connector"
+    _path_str = "funnel.connector.line"
+    _valid_props = {"color", "dash", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is a string and must be specified as:
+          - One of the following strings:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.connector.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.connector.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.connector.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/__init__.py
index ef1d489941d..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/_font.py
new file mode 100644
index 00000000000..e8909f1ec1b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.hoverlabel"
+    _path_str = "funnel.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/__init__.py
index afbe497e1d8..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/funnel/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/__init__.py
@@ -1,2508 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to funnel.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.funnel.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.funnel.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.funnel.marker.
-        colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        funnel.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use funnel.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use funnel.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.funnel.marker.c
-            olorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.funnel
-            .marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            funnel.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.funnel.marker.colorbar.Tit
-            le` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            funnel.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            funnel.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.funnel.marker.c
-            olorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.funnel
-            .marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            funnel.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.funnel.marker.colorbar.Tit
-            le` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            funnel.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            funnel.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.funnel.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/_colorbar.py
new file mode 100644
index 00000000000..aa001ec3fa8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.marker"
+    _path_str = "funnel.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.funnel.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.funnel.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.funnel.marker.
+        colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        funnel.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use funnel.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use funnel.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.funnel.marker.c
+            olorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.funnel
+            .marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            funnel.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.funnel.marker.colorbar.Tit
+            le` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            funnel.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            funnel.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.funnel.marker.c
+            olorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.funnel
+            .marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            funnel.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.funnel.marker.colorbar.Tit
+            le` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            funnel.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            funnel.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/_line.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/_line.py
new file mode 100644
index 00000000000..0f1c543d885
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.marker"
+    _path_str = "funnel.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to funnel.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/__init__.py
index 617e057be73..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.funnel.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnel.marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.funnel.marker.
-            colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.funnel.marker.
-            colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.funnel.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..90bbe256b49
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.marker.colorbar"
+    _path_str = "funnel.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.funnel.marker.
+            colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..d8f76b9b8e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.marker.colorbar"
+    _path_str = "funnel.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.funnel.marker.
+            colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_title.py
new file mode 100644
index 00000000000..b7dfc01b2d4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.marker.colorbar"
+    _path_str = "funnel.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnel.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.funnel.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnel.marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/__init__.py
index 72c0e9f7ff2..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnel.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.funnel.marker.
-            colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnel.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnel.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..977359e2f4d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnel/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnel.marker.colorbar.title"
+    _path_str = "funnel.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.funnel.marker.
+            colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnel.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnel.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/__init__.py b/packages/python/plotly/plotly/graph_objs/funnelarea/__init__.py
index c5005956cd2..c1274c69908 100644
--- a/packages/python/plotly/plotly/graph_objs/funnelarea/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/__init__.py
@@ -1,1907 +1,29 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used for `title`. Note that the title's font used
-        to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # position
-    # --------
-    @property
-    def position(self):
-        """
-        Specifies the location of the `title`. Note that the title's
-        position used to be set by the now deprecated `titleposition`
-        attribute.
-    
-        The 'position' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["position"]
-
-    @position.setter
-    def position(self, val):
-        self["position"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the chart. If it is empty, no title is
-        displayed. Note that before the existence of `title.text`, the
-        title's contents used to be defined as the `title` attribute
-        itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets the font used for `title`. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        position
-            Specifies the location of the `title`. Note that the
-            title's position used to be set by the now deprecated
-            `titleposition` attribute.
-        text
-            Sets the title of the chart. If it is empty, no title
-            is displayed. Note that before the existence of
-            `title.text`, the title's contents used to be defined
-            as the `title` attribute itself. This behavior has been
-            deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, position=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Title`
-        font
-            Sets the font used for `title`. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        position
-            Specifies the location of the `title`. Note that the
-            title's position used to be set by the now deprecated
-            `titleposition` attribute.
-        text
-            Sets the title of the chart. If it is empty, no title
-            is displayed. Note that before the existence of
-            `title.text`, the title's contents used to be defined
-            as the `title` attribute itself. This behavior has been
-            deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["position"] = v_title.PositionValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("position", None)
-        self["position"] = position if position is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `textinfo`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # colors
-    # ------
-    @property
-    def colors(self):
-        """
-        Sets the color of each sector. If not specified, the default
-        trace color set is used to pick the sector colors.
-    
-        The 'colors' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["colors"]
-
-    @colors.setter
-    def colors(self, val):
-        self["colors"] = val
-
-    # colorssrc
-    # ---------
-    @property
-    def colorssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  colors .
-    
-        The 'colorssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorssrc"]
-
-    @colorssrc.setter
-    def colorssrc(self, val):
-        self["colorssrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the line enclosing each
-                    sector. Defaults to the `paper_bgcolor` value.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the line enclosing
-                    each sector.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        colors
-            Sets the color of each sector. If not specified, the
-            default trace color set is used to pick the sector
-            colors.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        line
-            :class:`plotly.graph_objects.funnelarea.marker.Line`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, colors=None, colorssrc=None, line=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Marker`
-        colors
-            Sets the color of each sector. If not specified, the
-            default trace color set is used to pick the sector
-            colors.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        line
-            :class:`plotly.graph_objects.funnelarea.marker.Line`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["colors"] = v_marker.ColorsValidator()
-        self._validators["colorssrc"] = v_marker.ColorssrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("colors", None)
-        self["colors"] = colors if colors is not None else _v
-        _v = arg.pop("colorssrc", None)
-        self["colorssrc"] = colorssrc if colorssrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `textinfo` lying inside the sector.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.funnelarea.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.funnelarea.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this funnelarea trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this funnelarea trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this funnelarea trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this funnelarea trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this funnelarea trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this funnelarea trace .
-        x
-            Sets the horizontal domain of this funnelarea trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this funnelarea trace (in
-            plot fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this funnelarea trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this funnelarea trace .
-        x
-            Sets the horizontal domain of this funnelarea trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this funnelarea trace (in
-            plot fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Domain",
-    "Hoverlabel",
-    "Insidetextfont",
-    "Marker",
-    "Stream",
-    "Textfont",
-    "Title",
-    "hoverlabel",
-    "marker",
-    "title",
-]
-
-from plotly.graph_objs.funnelarea import title
-from plotly.graph_objs.funnelarea import marker
-from plotly.graph_objs.funnelarea import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._marker import Marker
+    from ._insidetextfont import Insidetextfont
+    from ._hoverlabel import Hoverlabel
+    from ._domain import Domain
+    from . import title
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title", ".marker", ".hoverlabel"],
+        [
+            "._title.Title",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._marker.Marker",
+            "._insidetextfont.Insidetextfont",
+            "._hoverlabel.Hoverlabel",
+            "._domain.Domain",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_domain.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_domain.py
new file mode 100644
index 00000000000..538990353b9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this funnelarea trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this funnelarea trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this funnelarea trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this funnelarea trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this funnelarea trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this funnelarea trace .
+        x
+            Sets the horizontal domain of this funnelarea trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this funnelarea trace (in
+            plot fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this funnelarea trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this funnelarea trace .
+        x
+            Sets the horizontal domain of this funnelarea trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this funnelarea trace (in
+            plot fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_hoverlabel.py
new file mode 100644
index 00000000000..6b04937b706
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_insidetextfont.py
new file mode 100644
index 00000000000..33747e1ef96
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `textinfo` lying inside the sector.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_marker.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_marker.py
new file mode 100644
index 00000000000..3a2af7bf778
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_marker.py
@@ -0,0 +1,179 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.marker"
+    _valid_props = {"colors", "colorssrc", "line"}
+
+    # colors
+    # ------
+    @property
+    def colors(self):
+        """
+        Sets the color of each sector. If not specified, the default
+        trace color set is used to pick the sector colors.
+    
+        The 'colors' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["colors"]
+
+    @colors.setter
+    def colors(self, val):
+        self["colors"] = val
+
+    # colorssrc
+    # ---------
+    @property
+    def colorssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  colors .
+    
+        The 'colorssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorssrc"]
+
+    @colorssrc.setter
+    def colorssrc(self, val):
+        self["colorssrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the line enclosing each
+                    sector. Defaults to the `paper_bgcolor` value.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the line enclosing
+                    each sector.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        colors
+            Sets the color of each sector. If not specified, the
+            default trace color set is used to pick the sector
+            colors.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        line
+            :class:`plotly.graph_objects.funnelarea.marker.Line`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, colors=None, colorssrc=None, line=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Marker`
+        colors
+            Sets the color of each sector. If not specified, the
+            default trace color set is used to pick the sector
+            colors.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        line
+            :class:`plotly.graph_objects.funnelarea.marker.Line`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("colors", None)
+        _v = colors if colors is not None else _v
+        if _v is not None:
+            self["colors"] = _v
+        _v = arg.pop("colorssrc", None)
+        _v = colorssrc if colorssrc is not None else _v
+        if _v is not None:
+            self["colorssrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_stream.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_stream.py
new file mode 100644
index 00000000000..97b8d00fd7c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_textfont.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_textfont.py
new file mode 100644
index 00000000000..e13d93cc7ce
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `textinfo`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/_title.py b/packages/python/plotly/plotly/graph_objs/funnelarea/_title.py
new file mode 100644
index 00000000000..1bd072ca20f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/_title.py
@@ -0,0 +1,214 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea"
+    _path_str = "funnelarea.title"
+    _valid_props = {"font", "position", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used for `title`. Note that the title's font used
+        to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.funnelarea.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.funnelarea.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # position
+    # --------
+    @property
+    def position(self):
+        """
+        Specifies the location of the `title`. Note that the title's
+        position used to be set by the now deprecated `titleposition`
+        attribute.
+    
+        The 'position' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["position"]
+
+    @position.setter
+    def position(self, val):
+        self["position"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the chart. If it is empty, no title is
+        displayed. Note that before the existence of `title.text`, the
+        title's contents used to be defined as the `title` attribute
+        itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets the font used for `title`. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        position
+            Specifies the location of the `title`. Note that the
+            title's position used to be set by the now deprecated
+            `titleposition` attribute.
+        text
+            Sets the title of the chart. If it is empty, no title
+            is displayed. Note that before the existence of
+            `title.text`, the title's contents used to be defined
+            as the `title` attribute itself. This behavior has been
+            deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, position=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.Title`
+        font
+            Sets the font used for `title`. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        position
+            Specifies the location of the `title`. Note that the
+            title's position used to be set by the now deprecated
+            `titleposition` attribute.
+        text
+            Sets the title of the chart. If it is empty, no title
+            is displayed. Note that before the existence of
+            `title.text`, the title's contents used to be defined
+            as the `title` attribute itself. This behavior has been
+            deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("position", None)
+        _v = position if position is not None else _v
+        if _v is not None:
+            self["position"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/__init__.py
index 6a2b0ac2e9e..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/_font.py
new file mode 100644
index 00000000000..0636c41d60f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea.hoverlabel"
+    _path_str = "funnelarea.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/funnelarea/marker/__init__.py
index 4bc8496bcb9..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/funnelarea/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/marker/__init__.py
@@ -1,236 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the line enclosing each sector. Defaults to
-        the `paper_bgcolor` value.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the line enclosing each sector.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the line enclosing each sector.
-            Defaults to the `paper_bgcolor` value.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.marker.Line`
-        color
-            Sets the color of the line enclosing each sector.
-            Defaults to the `paper_bgcolor` value.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/marker/_line.py b/packages/python/plotly/plotly/graph_objs/funnelarea/marker/_line.py
new file mode 100644
index 00000000000..454fcfdb732
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/marker/_line.py
@@ -0,0 +1,234 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea.marker"
+    _path_str = "funnelarea.marker.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the line enclosing each sector. Defaults to
+        the `paper_bgcolor` value.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the line enclosing each sector.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the line enclosing each sector.
+            Defaults to the `paper_bgcolor` value.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.marker.Line`
+        color
+            Sets the color of the line enclosing each sector.
+            Defaults to the `paper_bgcolor` value.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/title/__init__.py b/packages/python/plotly/plotly/graph_objs/funnelarea/title/__init__.py
index c060ce83473..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/funnelarea/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/title/__init__.py
@@ -1,330 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "funnelarea.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used for `title`. Note that the title's font used
-        to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.funnelarea.title.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.funnelarea.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.funnelarea.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.funnelarea.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/funnelarea/title/_font.py b/packages/python/plotly/plotly/graph_objs/funnelarea/title/_font.py
new file mode 100644
index 00000000000..007eb89d5de
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/funnelarea/title/_font.py
@@ -0,0 +1,330 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "funnelarea.title"
+    _path_str = "funnelarea.title.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used for `title`. Note that the title's font used
+        to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.funnelarea.title.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.funnelarea.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.funnelarea.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmap/__init__.py
index a5fcfed3997..6f74f557def 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmap/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/__init__.py
@@ -1,2501 +1,16 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.heatmap.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.heatmap.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.heatmap.colorbar.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        heatmap.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use heatmap.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use heatmap.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.heatmap.colorba
-            r.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.heatma
-            p.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            heatmap.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.heatmap.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use heatmap.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use heatmap.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.heatmap.colorba
-            r.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.heatma
-            p.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            heatmap.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.heatmap.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use heatmap.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use heatmap.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Hoverlabel", "Stream", "colorbar", "hoverlabel"]
-
-from plotly.graph_objs.heatmap import hoverlabel
-from plotly.graph_objs.heatmap import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        ["._stream.Stream", "._hoverlabel.Hoverlabel", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/_colorbar.py b/packages/python/plotly/plotly/graph_objs/heatmap/_colorbar.py
new file mode 100644
index 00000000000..c7ce64af51a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/_colorbar.py
@@ -0,0 +1,1940 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap"
+    _path_str = "heatmap.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.heatmap.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.heatmap.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.heatmap.colorbar.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        heatmap.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use heatmap.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use heatmap.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.heatmap.colorba
+            r.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.heatma
+            p.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            heatmap.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.heatmap.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use heatmap.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use heatmap.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.heatmap.colorba
+            r.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.heatma
+            p.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            heatmap.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.heatmap.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use heatmap.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use heatmap.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/heatmap/_hoverlabel.py
new file mode 100644
index 00000000000..d765947405b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap"
+    _path_str = "heatmap.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/_stream.py b/packages/python/plotly/plotly/graph_objs/heatmap/_stream.py
new file mode 100644
index 00000000000..4ce24610d96
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap"
+    _path_str = "heatmap.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/__init__.py
index fe519e51b04..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.heatmap.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.heatmap.colorb
-            ar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.heatmap.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_tickfont.py
new file mode 100644
index 00000000000..e2f939d9cca
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap.colorbar"
+    _path_str = "heatmap.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..f4aefe42c64
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap.colorbar"
+    _path_str = "heatmap.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.heatmap.colorb
+            ar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_title.py
new file mode 100644
index 00000000000..fa3cda18eac
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap.colorbar"
+    _path_str = "heatmap.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmap.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.heatmap.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/__init__.py
index 7e1c7383672..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/_font.py
new file mode 100644
index 00000000000..aa93abebd5d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap.colorbar.title"
+    _path_str = "heatmap.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/__init__.py
index 495d9a1db7b..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmap.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmap.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmap.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmap.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmap.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/_font.py
new file mode 100644
index 00000000000..336814344a6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmap/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmap.hoverlabel"
+    _path_str = "heatmap.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmap.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmap.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmap.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/__init__.py
index d5150ed6cbd..6f74f557def 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmapgl/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/__init__.py
@@ -1,2500 +1,16 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmapgl.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmapgl.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.heatmapgl.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.heatmapgl.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.heatmapgl.colo
-        rbar.tickformatstopdefaults), sets the default property values
-        to use for elements of heatmapgl.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use heatmapgl.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use heatmapgl.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.heatmapgl.color
-            bar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.heatma
-            pgl.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            heatmapgl.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.heatmapgl.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use heatmapgl.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use heatmapgl.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmapgl.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.heatmapgl.color
-            bar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.heatma
-            pgl.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            heatmapgl.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.heatmapgl.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use heatmapgl.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use heatmapgl.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Hoverlabel", "Stream", "colorbar", "hoverlabel"]
-
-from plotly.graph_objs.heatmapgl import hoverlabel
-from plotly.graph_objs.heatmapgl import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        ["._stream.Stream", "._hoverlabel.Hoverlabel", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/_colorbar.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/_colorbar.py
new file mode 100644
index 00000000000..d45d08bc131
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/_colorbar.py
@@ -0,0 +1,1939 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl"
+    _path_str = "heatmapgl.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.heatmapgl.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.heatmapgl.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.heatmapgl.colo
+        rbar.tickformatstopdefaults), sets the default property values
+        to use for elements of heatmapgl.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use heatmapgl.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use heatmapgl.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.heatmapgl.color
+            bar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.heatma
+            pgl.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            heatmapgl.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.heatmapgl.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use heatmapgl.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use heatmapgl.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmapgl.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.heatmapgl.color
+            bar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.heatma
+            pgl.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            heatmapgl.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.heatmapgl.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use heatmapgl.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use heatmapgl.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/_hoverlabel.py
new file mode 100644
index 00000000000..e53733f0c72
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl"
+    _path_str = "heatmapgl.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmapgl.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/_stream.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/_stream.py
new file mode 100644
index 00000000000..022381131e8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl"
+    _path_str = "heatmapgl.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmapgl.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/__init__.py
index 72a1cb16db2..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.heatmapgl.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmapgl.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.heatmapgl.colo
-            rbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmapgl.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.heatmapgl.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_tickfont.py
new file mode 100644
index 00000000000..ed4c5b2ae5e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl.colorbar"
+    _path_str = "heatmapgl.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmapgl.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..2ae06b55f84
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl.colorbar"
+    _path_str = "heatmapgl.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.heatmapgl.colo
+            rbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_title.py
new file mode 100644
index 00000000000..23e5300a2bb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl.colorbar"
+    _path_str = "heatmapgl.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.heatmapgl.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.heatmapgl.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmapgl.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/__init__.py
index eca9014e625..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.heatmapgl.colo
-            rbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/_font.py
new file mode 100644
index 00000000000..a7791528aeb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl.colorbar.title"
+    _path_str = "heatmapgl.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.heatmapgl.colo
+            rbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/__init__.py
index efcb1c68d85..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "heatmapgl.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.heatmapgl.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.heatmapgl.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.heatmapgl.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.heatmapgl.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/_font.py
new file mode 100644
index 00000000000..5b4fdb035aa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/heatmapgl/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "heatmapgl.hoverlabel"
+    _path_str = "heatmapgl.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.heatmapgl.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.heatmapgl.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.heatmapgl.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/__init__.py
index a7e26fe5af5..71cc806d549 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/__init__.py
@@ -1,3848 +1,36 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class YBins(_BaseTraceHierarchyType):
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end value for the y axis bins. The last bin may not
-        end exactly at this value, we increment the bin edge by `size`
-        from `start` until we reach or exceed `end`. Defaults to the
-        maximum data value. Like `start`, for dates use a date string,
-        and for category data `end` is based on the category serial
-        numbers.
-    
-        The 'end' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the size of each y axis bin. Default behavior: If `nbinsy`
-        is 0 or omitted, we choose a nice round bin size such that the
-        number of bins is about the same as the typical number of
-        samples in each bin. If `nbinsy` is provided, we choose a nice
-        round bin size giving no more than that many bins. For date
-        data, use milliseconds or "M<n>" for months, as in
-        `axis.dtick`. For category data, the number of categories to
-        bin together (always defaults to 1). If multiple non-overlaying
-        histograms share a subplot, the first explicit `size` is used
-        and all others discarded. If no `size` is provided,the sample
-        data from all traces is combined to determine `size` as
-        described above.
-    
-        The 'size' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting value for the y axis bins. Defaults to the
-        minimum data value, shifted down if necessary to make nice
-        round values and to remove ambiguous bin edges. For example, if
-        most of the data is integers we shift the bin edges 0.5 down,
-        so a `size` of 5 would have a default `start` of -0.5, so it is
-        clear that 0-4 are in the first bin, 5-9 in the second, but
-        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
-        Dates behave similarly, and `start` should be a date string.
-        For category data, `start` is based on the category serial
-        numbers, and defaults to -0.5. If multiple non-overlaying
-        histograms share a subplot, the first explicit `start` is used
-        exactly and all others are shifted down (if necessary) to
-        differ from that one by an integer number of bins.
-    
-        The 'start' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        end
-            Sets the end value for the y axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each y axis bin. Default behavior: If
-            `nbinsy` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsy`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1). If multiple non-
-            overlaying histograms share a subplot, the first
-            explicit `size` is used and all others discarded. If no
-            `size` is provided,the sample data from all traces is
-            combined to determine `size` as described above.
-        start
-            Sets the starting value for the y axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5. If
-            multiple non-overlaying histograms share a subplot, the
-            first explicit `start` is used exactly and all others
-            are shifted down (if necessary) to differ from that one
-            by an integer number of bins.
-        """
-
-    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
-        """
-        Construct a new YBins object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.YBins`
-        end
-            Sets the end value for the y axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each y axis bin. Default behavior: If
-            `nbinsy` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsy`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1). If multiple non-
-            overlaying histograms share a subplot, the first
-            explicit `size` is used and all others discarded. If no
-            `size` is provided,the sample data from all traces is
-            combined to determine `size` as described above.
-        start
-            Sets the starting value for the y axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5. If
-            multiple non-overlaying histograms share a subplot, the
-            first explicit `start` is used exactly and all others
-            are shifted down (if necessary) to differ from that one
-            by an integer number of bins.
-
-        Returns
-        -------
-        YBins
-        """
-        super(YBins, self).__init__("ybins")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.YBins 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.YBins`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import ybins as v_ybins
-
-        # Initialize validators
-        # ---------------------
-        self._validators["end"] = v_ybins.EndValidator()
-        self._validators["size"] = v_ybins.SizeValidator()
-        self._validators["start"] = v_ybins.StartValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class XBins(_BaseTraceHierarchyType):
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end value for the x axis bins. The last bin may not
-        end exactly at this value, we increment the bin edge by `size`
-        from `start` until we reach or exceed `end`. Defaults to the
-        maximum data value. Like `start`, for dates use a date string,
-        and for category data `end` is based on the category serial
-        numbers.
-    
-        The 'end' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the size of each x axis bin. Default behavior: If `nbinsx`
-        is 0 or omitted, we choose a nice round bin size such that the
-        number of bins is about the same as the typical number of
-        samples in each bin. If `nbinsx` is provided, we choose a nice
-        round bin size giving no more than that many bins. For date
-        data, use milliseconds or "M<n>" for months, as in
-        `axis.dtick`. For category data, the number of categories to
-        bin together (always defaults to 1). If multiple non-overlaying
-        histograms share a subplot, the first explicit `size` is used
-        and all others discarded. If no `size` is provided,the sample
-        data from all traces is combined to determine `size` as
-        described above.
-    
-        The 'size' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting value for the x axis bins. Defaults to the
-        minimum data value, shifted down if necessary to make nice
-        round values and to remove ambiguous bin edges. For example, if
-        most of the data is integers we shift the bin edges 0.5 down,
-        so a `size` of 5 would have a default `start` of -0.5, so it is
-        clear that 0-4 are in the first bin, 5-9 in the second, but
-        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
-        Dates behave similarly, and `start` should be a date string.
-        For category data, `start` is based on the category serial
-        numbers, and defaults to -0.5. If multiple non-overlaying
-        histograms share a subplot, the first explicit `start` is used
-        exactly and all others are shifted down (if necessary) to
-        differ from that one by an integer number of bins.
-    
-        The 'start' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        end
-            Sets the end value for the x axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each x axis bin. Default behavior: If
-            `nbinsx` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsx`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1). If multiple non-
-            overlaying histograms share a subplot, the first
-            explicit `size` is used and all others discarded. If no
-            `size` is provided,the sample data from all traces is
-            combined to determine `size` as described above.
-        start
-            Sets the starting value for the x axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5. If
-            multiple non-overlaying histograms share a subplot, the
-            first explicit `start` is used exactly and all others
-            are shifted down (if necessary) to differ from that one
-            by an integer number of bins.
-        """
-
-    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
-        """
-        Construct a new XBins object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.XBins`
-        end
-            Sets the end value for the x axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each x axis bin. Default behavior: If
-            `nbinsx` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsx`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1). If multiple non-
-            overlaying histograms share a subplot, the first
-            explicit `size` is used and all others discarded. If no
-            `size` is provided,the sample data from all traces is
-            combined to determine `size` as described above.
-        start
-            Sets the starting value for the x axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5. If
-            multiple non-overlaying histograms share a subplot, the
-            first explicit `start` is used exactly and all others
-            are shifted down (if necessary) to differ from that one
-            by an integer number of bins.
-
-        Returns
-        -------
-        XBins
-        """
-        super(XBins, self).__init__("xbins")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.XBins 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.XBins`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import xbins as v_xbins
-
-        # Initialize validators
-        # ---------------------
-        self._validators["end"] = v_xbins.EndValidator()
-        self._validators["size"] = v_xbins.SizeValidator()
-        self._validators["start"] = v_xbins.StartValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.histogram.unselected.Marke
-            r` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.histogram.unselected.Textf
-            ont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.Unselected`
-        marker
-            :class:`plotly.graph_objects.histogram.unselected.Marke
-            r` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.histogram.unselected.Textf
-            ont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.histogram.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.histogram.selected.Textfon
-            t` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.Selected`
-        marker
-            :class:`plotly.graph_objects.histogram.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.histogram.selected.Textfon
-            t` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to histogram.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.histogr
-                    am.marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.histogram.marker.colorbar.tickformatstopdefau
-                    lts), sets the default property values to use
-                    for elements of
-                    histogram.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.histogram.marker.c
-                    olorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    histogram.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    histogram.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the bars.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.histogram.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.histogram.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.histogram.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.histogram.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the opacity of the bars.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorY(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorY object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.ErrorY`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorY
-        """
-        super(ErrorY, self).__init__("error_y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.ErrorY 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.ErrorY`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import error_y as v_error_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_y.ArrayValidator()
-        self._validators["arrayminus"] = v_error_y.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_y.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_y.ArraysrcValidator()
-        self._validators["color"] = v_error_y.ColorValidator()
-        self._validators["symmetric"] = v_error_y.SymmetricValidator()
-        self._validators["thickness"] = v_error_y.ThicknessValidator()
-        self._validators["traceref"] = v_error_y.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_y.TracerefminusValidator()
-        self._validators["type"] = v_error_y.TypeValidator()
-        self._validators["value"] = v_error_y.ValueValidator()
-        self._validators["valueminus"] = v_error_y.ValueminusValidator()
-        self._validators["visible"] = v_error_y.VisibleValidator()
-        self._validators["width"] = v_error_y.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorX(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # copy_ystyle
-    # -----------
-    @property
-    def copy_ystyle(self):
-        """
-        The 'copy_ystyle' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["copy_ystyle"]
-
-    @copy_ystyle.setter
-    def copy_ystyle(self, val):
-        self["copy_ystyle"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        copy_ystyle=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorX object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.ErrorX`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorX
-        """
-        super(ErrorX, self).__init__("error_x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.ErrorX 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.ErrorX`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import error_x as v_error_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_x.ArrayValidator()
-        self._validators["arrayminus"] = v_error_x.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_x.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_x.ArraysrcValidator()
-        self._validators["color"] = v_error_x.ColorValidator()
-        self._validators["copy_ystyle"] = v_error_x.CopyYstyleValidator()
-        self._validators["symmetric"] = v_error_x.SymmetricValidator()
-        self._validators["thickness"] = v_error_x.ThicknessValidator()
-        self._validators["traceref"] = v_error_x.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_x.TracerefminusValidator()
-        self._validators["type"] = v_error_x.TypeValidator()
-        self._validators["value"] = v_error_x.ValueValidator()
-        self._validators["valueminus"] = v_error_x.ValueminusValidator()
-        self._validators["visible"] = v_error_x.VisibleValidator()
-        self._validators["width"] = v_error_x.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("copy_ystyle", None)
-        self["copy_ystyle"] = copy_ystyle if copy_ystyle is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Cumulative(_BaseTraceHierarchyType):
-
-    # currentbin
-    # ----------
-    @property
-    def currentbin(self):
-        """
-        Only applies if cumulative is enabled. Sets whether the current
-        bin is included, excluded, or has half of its value included in
-        the current cumulative value. "include" is the default for
-        compatibility with various other tools, however it introduces a
-        half-bin bias to the results. "exclude" makes the opposite
-        half-bin bias, and "half" removes it.
-    
-        The 'currentbin' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['include', 'exclude', 'half']
-
-        Returns
-        -------
-        Any
-        """
-        return self["currentbin"]
-
-    @currentbin.setter
-    def currentbin(self, val):
-        self["currentbin"] = val
-
-    # direction
-    # ---------
-    @property
-    def direction(self):
-        """
-        Only applies if cumulative is enabled. If "increasing"
-        (default) we sum all prior bins, so the result increases from
-        left to right. If "decreasing" we sum later bins so the result
-        decreases from left to right.
-    
-        The 'direction' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['increasing', 'decreasing']
-
-        Returns
-        -------
-        Any
-        """
-        return self["direction"]
-
-    @direction.setter
-    def direction(self, val):
-        self["direction"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        If true, display the cumulative distribution by summing the
-        binned values. Use the `direction` and `centralbin` attributes
-        to tune the accumulation method. Note: in this mode, the
-        "density" `histnorm` settings behave the same as their
-        equivalents without "density": "" and "density" both rise to
-        the number of data points, and "probability" and *probability
-        density* both rise to the number of sample points.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        currentbin
-            Only applies if cumulative is enabled. Sets whether the
-            current bin is included, excluded, or has half of its
-            value included in the current cumulative value.
-            "include" is the default for compatibility with various
-            other tools, however it introduces a half-bin bias to
-            the results. "exclude" makes the opposite half-bin
-            bias, and "half" removes it.
-        direction
-            Only applies if cumulative is enabled. If "increasing"
-            (default) we sum all prior bins, so the result
-            increases from left to right. If "decreasing" we sum
-            later bins so the result decreases from left to right.
-        enabled
-            If true, display the cumulative distribution by summing
-            the binned values. Use the `direction` and `centralbin`
-            attributes to tune the accumulation method. Note: in
-            this mode, the "density" `histnorm` settings behave the
-            same as their equivalents without "density": "" and
-            "density" both rise to the number of data points, and
-            "probability" and *probability density* both rise to
-            the number of sample points.
-        """
-
-    def __init__(
-        self, arg=None, currentbin=None, direction=None, enabled=None, **kwargs
-    ):
-        """
-        Construct a new Cumulative object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.Cumulative`
-        currentbin
-            Only applies if cumulative is enabled. Sets whether the
-            current bin is included, excluded, or has half of its
-            value included in the current cumulative value.
-            "include" is the default for compatibility with various
-            other tools, however it introduces a half-bin bias to
-            the results. "exclude" makes the opposite half-bin
-            bias, and "half" removes it.
-        direction
-            Only applies if cumulative is enabled. If "increasing"
-            (default) we sum all prior bins, so the result
-            increases from left to right. If "decreasing" we sum
-            later bins so the result decreases from left to right.
-        enabled
-            If true, display the cumulative distribution by summing
-            the binned values. Use the `direction` and `centralbin`
-            attributes to tune the accumulation method. Note: in
-            this mode, the "density" `histnorm` settings behave the
-            same as their equivalents without "density": "" and
-            "density" both rise to the number of data points, and
-            "probability" and *probability density* both rise to
-            the number of sample points.
-
-        Returns
-        -------
-        Cumulative
-        """
-        super(Cumulative, self).__init__("cumulative")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.Cumulative 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.Cumulative`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram import cumulative as v_cumulative
-
-        # Initialize validators
-        # ---------------------
-        self._validators["currentbin"] = v_cumulative.CurrentbinValidator()
-        self._validators["direction"] = v_cumulative.DirectionValidator()
-        self._validators["enabled"] = v_cumulative.EnabledValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("currentbin", None)
-        self["currentbin"] = currentbin if currentbin is not None else _v
-        _v = arg.pop("direction", None)
-        self["direction"] = direction if direction is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Cumulative",
-    "ErrorX",
-    "ErrorY",
-    "Hoverlabel",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "XBins",
-    "YBins",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.histogram import unselected
-from plotly.graph_objs.histogram import selected
-from plotly.graph_objs.histogram import marker
-from plotly.graph_objs.histogram import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ybins import YBins
+    from ._xbins import XBins
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from ._error_y import ErrorY
+    from ._error_x import ErrorX
+    from ._cumulative import Cumulative
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._ybins.YBins",
+            "._xbins.XBins",
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._hoverlabel.Hoverlabel",
+            "._error_y.ErrorY",
+            "._error_x.ErrorX",
+            "._cumulative.Cumulative",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_cumulative.py b/packages/python/plotly/plotly/graph_objs/histogram/_cumulative.py
new file mode 100644
index 00000000000..39359fb68be
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_cumulative.py
@@ -0,0 +1,204 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Cumulative(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.cumulative"
+    _valid_props = {"currentbin", "direction", "enabled"}
+
+    # currentbin
+    # ----------
+    @property
+    def currentbin(self):
+        """
+        Only applies if cumulative is enabled. Sets whether the current
+        bin is included, excluded, or has half of its value included in
+        the current cumulative value. "include" is the default for
+        compatibility with various other tools, however it introduces a
+        half-bin bias to the results. "exclude" makes the opposite
+        half-bin bias, and "half" removes it.
+    
+        The 'currentbin' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['include', 'exclude', 'half']
+
+        Returns
+        -------
+        Any
+        """
+        return self["currentbin"]
+
+    @currentbin.setter
+    def currentbin(self, val):
+        self["currentbin"] = val
+
+    # direction
+    # ---------
+    @property
+    def direction(self):
+        """
+        Only applies if cumulative is enabled. If "increasing"
+        (default) we sum all prior bins, so the result increases from
+        left to right. If "decreasing" we sum later bins so the result
+        decreases from left to right.
+    
+        The 'direction' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['increasing', 'decreasing']
+
+        Returns
+        -------
+        Any
+        """
+        return self["direction"]
+
+    @direction.setter
+    def direction(self, val):
+        self["direction"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        If true, display the cumulative distribution by summing the
+        binned values. Use the `direction` and `centralbin` attributes
+        to tune the accumulation method. Note: in this mode, the
+        "density" `histnorm` settings behave the same as their
+        equivalents without "density": "" and "density" both rise to
+        the number of data points, and "probability" and *probability
+        density* both rise to the number of sample points.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        currentbin
+            Only applies if cumulative is enabled. Sets whether the
+            current bin is included, excluded, or has half of its
+            value included in the current cumulative value.
+            "include" is the default for compatibility with various
+            other tools, however it introduces a half-bin bias to
+            the results. "exclude" makes the opposite half-bin
+            bias, and "half" removes it.
+        direction
+            Only applies if cumulative is enabled. If "increasing"
+            (default) we sum all prior bins, so the result
+            increases from left to right. If "decreasing" we sum
+            later bins so the result decreases from left to right.
+        enabled
+            If true, display the cumulative distribution by summing
+            the binned values. Use the `direction` and `centralbin`
+            attributes to tune the accumulation method. Note: in
+            this mode, the "density" `histnorm` settings behave the
+            same as their equivalents without "density": "" and
+            "density" both rise to the number of data points, and
+            "probability" and *probability density* both rise to
+            the number of sample points.
+        """
+
+    def __init__(
+        self, arg=None, currentbin=None, direction=None, enabled=None, **kwargs
+    ):
+        """
+        Construct a new Cumulative object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.Cumulative`
+        currentbin
+            Only applies if cumulative is enabled. Sets whether the
+            current bin is included, excluded, or has half of its
+            value included in the current cumulative value.
+            "include" is the default for compatibility with various
+            other tools, however it introduces a half-bin bias to
+            the results. "exclude" makes the opposite half-bin
+            bias, and "half" removes it.
+        direction
+            Only applies if cumulative is enabled. If "increasing"
+            (default) we sum all prior bins, so the result
+            increases from left to right. If "decreasing" we sum
+            later bins so the result decreases from left to right.
+        enabled
+            If true, display the cumulative distribution by summing
+            the binned values. Use the `direction` and `centralbin`
+            attributes to tune the accumulation method. Note: in
+            this mode, the "density" `histnorm` settings behave the
+            same as their equivalents without "density": "" and
+            "density" both rise to the number of data points, and
+            "probability" and *probability density* both rise to
+            the number of sample points.
+
+        Returns
+        -------
+        Cumulative
+        """
+        super(Cumulative, self).__init__("cumulative")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.Cumulative 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.Cumulative`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("currentbin", None)
+        _v = currentbin if currentbin is not None else _v
+        if _v is not None:
+            self["currentbin"] = _v
+        _v = arg.pop("direction", None)
+        _v = direction if direction is not None else _v
+        if _v is not None:
+            self["direction"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_error_x.py b/packages/python/plotly/plotly/graph_objs/histogram/_error_x.py
new file mode 100644
index 00000000000..e7dd9e9f45f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_error_x.py
@@ -0,0 +1,629 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorX(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.error_x"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "copy_ystyle",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # copy_ystyle
+    # -----------
+    @property
+    def copy_ystyle(self):
+        """
+        The 'copy_ystyle' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["copy_ystyle"]
+
+    @copy_ystyle.setter
+    def copy_ystyle(self, val):
+        self["copy_ystyle"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        copy_ystyle=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorX object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.ErrorX`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorX
+        """
+        super(ErrorX, self).__init__("error_x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.ErrorX 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.ErrorX`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("copy_ystyle", None)
+        _v = copy_ystyle if copy_ystyle is not None else _v
+        if _v is not None:
+            self["copy_ystyle"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_error_y.py b/packages/python/plotly/plotly/graph_objs/histogram/_error_y.py
new file mode 100644
index 00000000000..cb9c5f8fe02
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_error_y.py
@@ -0,0 +1,601 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorY(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.error_y"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorY object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.ErrorY`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorY
+        """
+        super(ErrorY, self).__init__("error_y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.ErrorY 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.ErrorY`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/histogram/_hoverlabel.py
new file mode 100644
index 00000000000..fbe525403ca
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_marker.py b/packages/python/plotly/plotly/graph_objs/histogram/_marker.py
new file mode 100644
index 00000000000..200b431b384
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_marker.py
@@ -0,0 +1,1053 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to histogram.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.histogr
+                    am.marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.histogram.marker.colorbar.tickformatstopdefau
+                    lts), sets the default property values to use
+                    for elements of
+                    histogram.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.histogram.marker.c
+                    olorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    histogram.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    histogram.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the bars.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.histogram.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.histogram.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.histogram.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.histogram.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the opacity of the bars.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_selected.py b/packages/python/plotly/plotly/graph_objs/histogram/_selected.py
new file mode 100644
index 00000000000..23464ee66bd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_selected.py
@@ -0,0 +1,144 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.histogram.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.histogram.selected.Textfon
+            t` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.Selected`
+        marker
+            :class:`plotly.graph_objects.histogram.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.histogram.selected.Textfon
+            t` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_stream.py b/packages/python/plotly/plotly/graph_objs/histogram/_stream.py
new file mode 100644
index 00000000000..b195076255f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_unselected.py b/packages/python/plotly/plotly/graph_objs/histogram/_unselected.py
new file mode 100644
index 00000000000..6bcaae0ee9c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_unselected.py
@@ -0,0 +1,147 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.histogram.unselected.Marke
+            r` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.histogram.unselected.Textf
+            ont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.Unselected`
+        marker
+            :class:`plotly.graph_objects.histogram.unselected.Marke
+            r` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.histogram.unselected.Textf
+            ont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_xbins.py b/packages/python/plotly/plotly/graph_objs/histogram/_xbins.py
new file mode 100644
index 00000000000..48761e2ab0f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_xbins.py
@@ -0,0 +1,241 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class XBins(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.xbins"
+    _valid_props = {"end", "size", "start"}
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end value for the x axis bins. The last bin may not
+        end exactly at this value, we increment the bin edge by `size`
+        from `start` until we reach or exceed `end`. Defaults to the
+        maximum data value. Like `start`, for dates use a date string,
+        and for category data `end` is based on the category serial
+        numbers.
+    
+        The 'end' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the size of each x axis bin. Default behavior: If `nbinsx`
+        is 0 or omitted, we choose a nice round bin size such that the
+        number of bins is about the same as the typical number of
+        samples in each bin. If `nbinsx` is provided, we choose a nice
+        round bin size giving no more than that many bins. For date
+        data, use milliseconds or "M<n>" for months, as in
+        `axis.dtick`. For category data, the number of categories to
+        bin together (always defaults to 1). If multiple non-overlaying
+        histograms share a subplot, the first explicit `size` is used
+        and all others discarded. If no `size` is provided,the sample
+        data from all traces is combined to determine `size` as
+        described above.
+    
+        The 'size' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting value for the x axis bins. Defaults to the
+        minimum data value, shifted down if necessary to make nice
+        round values and to remove ambiguous bin edges. For example, if
+        most of the data is integers we shift the bin edges 0.5 down,
+        so a `size` of 5 would have a default `start` of -0.5, so it is
+        clear that 0-4 are in the first bin, 5-9 in the second, but
+        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
+        Dates behave similarly, and `start` should be a date string.
+        For category data, `start` is based on the category serial
+        numbers, and defaults to -0.5. If multiple non-overlaying
+        histograms share a subplot, the first explicit `start` is used
+        exactly and all others are shifted down (if necessary) to
+        differ from that one by an integer number of bins.
+    
+        The 'start' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        end
+            Sets the end value for the x axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each x axis bin. Default behavior: If
+            `nbinsx` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsx`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1). If multiple non-
+            overlaying histograms share a subplot, the first
+            explicit `size` is used and all others discarded. If no
+            `size` is provided,the sample data from all traces is
+            combined to determine `size` as described above.
+        start
+            Sets the starting value for the x axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5. If
+            multiple non-overlaying histograms share a subplot, the
+            first explicit `start` is used exactly and all others
+            are shifted down (if necessary) to differ from that one
+            by an integer number of bins.
+        """
+
+    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
+        """
+        Construct a new XBins object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.XBins`
+        end
+            Sets the end value for the x axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each x axis bin. Default behavior: If
+            `nbinsx` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsx`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1). If multiple non-
+            overlaying histograms share a subplot, the first
+            explicit `size` is used and all others discarded. If no
+            `size` is provided,the sample data from all traces is
+            combined to determine `size` as described above.
+        start
+            Sets the starting value for the x axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5. If
+            multiple non-overlaying histograms share a subplot, the
+            first explicit `start` is used exactly and all others
+            are shifted down (if necessary) to differ from that one
+            by an integer number of bins.
+
+        Returns
+        -------
+        XBins
+        """
+        super(XBins, self).__init__("xbins")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.XBins 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.XBins`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/_ybins.py b/packages/python/plotly/plotly/graph_objs/histogram/_ybins.py
new file mode 100644
index 00000000000..3c09f87f83b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/_ybins.py
@@ -0,0 +1,241 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class YBins(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram"
+    _path_str = "histogram.ybins"
+    _valid_props = {"end", "size", "start"}
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end value for the y axis bins. The last bin may not
+        end exactly at this value, we increment the bin edge by `size`
+        from `start` until we reach or exceed `end`. Defaults to the
+        maximum data value. Like `start`, for dates use a date string,
+        and for category data `end` is based on the category serial
+        numbers.
+    
+        The 'end' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the size of each y axis bin. Default behavior: If `nbinsy`
+        is 0 or omitted, we choose a nice round bin size such that the
+        number of bins is about the same as the typical number of
+        samples in each bin. If `nbinsy` is provided, we choose a nice
+        round bin size giving no more than that many bins. For date
+        data, use milliseconds or "M<n>" for months, as in
+        `axis.dtick`. For category data, the number of categories to
+        bin together (always defaults to 1). If multiple non-overlaying
+        histograms share a subplot, the first explicit `size` is used
+        and all others discarded. If no `size` is provided,the sample
+        data from all traces is combined to determine `size` as
+        described above.
+    
+        The 'size' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting value for the y axis bins. Defaults to the
+        minimum data value, shifted down if necessary to make nice
+        round values and to remove ambiguous bin edges. For example, if
+        most of the data is integers we shift the bin edges 0.5 down,
+        so a `size` of 5 would have a default `start` of -0.5, so it is
+        clear that 0-4 are in the first bin, 5-9 in the second, but
+        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
+        Dates behave similarly, and `start` should be a date string.
+        For category data, `start` is based on the category serial
+        numbers, and defaults to -0.5. If multiple non-overlaying
+        histograms share a subplot, the first explicit `start` is used
+        exactly and all others are shifted down (if necessary) to
+        differ from that one by an integer number of bins.
+    
+        The 'start' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        end
+            Sets the end value for the y axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each y axis bin. Default behavior: If
+            `nbinsy` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsy`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1). If multiple non-
+            overlaying histograms share a subplot, the first
+            explicit `size` is used and all others discarded. If no
+            `size` is provided,the sample data from all traces is
+            combined to determine `size` as described above.
+        start
+            Sets the starting value for the y axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5. If
+            multiple non-overlaying histograms share a subplot, the
+            first explicit `start` is used exactly and all others
+            are shifted down (if necessary) to differ from that one
+            by an integer number of bins.
+        """
+
+    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
+        """
+        Construct a new YBins object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.YBins`
+        end
+            Sets the end value for the y axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each y axis bin. Default behavior: If
+            `nbinsy` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsy`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1). If multiple non-
+            overlaying histograms share a subplot, the first
+            explicit `size` is used and all others discarded. If no
+            `size` is provided,the sample data from all traces is
+            combined to determine `size` as described above.
+        start
+            Sets the starting value for the y axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5. If
+            multiple non-overlaying histograms share a subplot, the
+            first explicit `start` is used exactly and all others
+            are shifted down (if necessary) to differ from that one
+            by an integer number of bins.
+
+        Returns
+        -------
+        YBins
+        """
+        super(YBins, self).__init__("ybins")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.YBins 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.YBins`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/__init__.py
index a52481f07be..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/_font.py
new file mode 100644
index 00000000000..caac336c869
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.hoverlabel"
+    _path_str = "histogram.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/__init__.py
index be3861588a2..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/__init__.py
@@ -1,2510 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to histogram.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.histogram.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.histogram.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.histogram.mark
-        er.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        histogram.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use histogram.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use histogram.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.histogram.marke
-            r.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.histog
-            ram.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            histogram.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.histogram.marker.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            histogram.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            histogram.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.histogram.marke
-            r.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.histog
-            ram.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            histogram.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.histogram.marker.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            histogram.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            histogram.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.histogram.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/_colorbar.py
new file mode 100644
index 00000000000..d90e941ae2f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/_colorbar.py
@@ -0,0 +1,1943 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.marker"
+    _path_str = "histogram.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.histogram.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.histogram.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.histogram.mark
+        er.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        histogram.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use histogram.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use histogram.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.histogram.marke
+            r.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.histog
+            ram.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            histogram.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.histogram.marker.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            histogram.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            histogram.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.histogram.marke
+            r.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.histog
+            ram.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            histogram.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.histogram.marker.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            histogram.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            histogram.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/_line.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/_line.py
new file mode 100644
index 00000000000..9583991244a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.marker"
+    _path_str = "histogram.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to histogram.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/__init__.py
index f90eddd9ec8..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram.mark
-            er.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram.mark
-            er.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram.mark
-            er.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.histogram.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..8b75d1f6e83
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.marker.colorbar"
+    _path_str = "histogram.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram.mark
+            er.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..b0cdb2f660e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.marker.colorbar"
+    _path_str = "histogram.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram.mark
+            er.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_title.py
new file mode 100644
index 00000000000..209c3da3286
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.marker.colorbar"
+    _path_str = "histogram.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram.mark
+            er.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/__init__.py
index 99b584910f4..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram.mark
-            er.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..6e3c5559ea8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.marker.colorbar.title"
+    _path_str = "histogram.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram.mark
+            er.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/selected/__init__.py
index 934fffb0c09..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/selected/__init__.py
@@ -1,310 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/histogram/selected/_marker.py
new file mode 100644
index 00000000000..9487eac9470
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/selected/_marker.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.selected"
+    _path_str = "histogram.selected.marker"
+    _valid_props = {"color", "opacity"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/histogram/selected/_textfont.py
new file mode 100644
index 00000000000..dfe2cef218c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.selected"
+    _path_str = "histogram.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram/unselected/__init__.py
index 391fe061e4e..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram/unselected/__init__.py
@@ -1,319 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram.unse
-            lected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/histogram/unselected/_marker.py
new file mode 100644
index 00000000000..8633f33bdd6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/unselected/_marker.py
@@ -0,0 +1,171 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.unselected"
+    _path_str = "histogram.unselected.marker"
+    _valid_props = {"color", "opacity"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/histogram/unselected/_textfont.py
new file mode 100644
index 00000000000..d99275f3d38
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram.unselected"
+    _path_str = "histogram.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram.unse
+            lected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2d/__init__.py
index 363b0ba14ea..55f71d0a279 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2d/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/__init__.py
@@ -1,3081 +1,26 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class YBins(_BaseTraceHierarchyType):
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end value for the y axis bins. The last bin may not
-        end exactly at this value, we increment the bin edge by `size`
-        from `start` until we reach or exceed `end`. Defaults to the
-        maximum data value. Like `start`, for dates use a date string,
-        and for category data `end` is based on the category serial
-        numbers.
-    
-        The 'end' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the size of each y axis bin. Default behavior: If `nbinsy`
-        is 0 or omitted, we choose a nice round bin size such that the
-        number of bins is about the same as the typical number of
-        samples in each bin. If `nbinsy` is provided, we choose a nice
-        round bin size giving no more than that many bins. For date
-        data, use milliseconds or "M<n>" for months, as in
-        `axis.dtick`. For category data, the number of categories to
-        bin together (always defaults to 1).
-    
-        The 'size' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting value for the y axis bins. Defaults to the
-        minimum data value, shifted down if necessary to make nice
-        round values and to remove ambiguous bin edges. For example, if
-        most of the data is integers we shift the bin edges 0.5 down,
-        so a `size` of 5 would have a default `start` of -0.5, so it is
-        clear that 0-4 are in the first bin, 5-9 in the second, but
-        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
-        Dates behave similarly, and `start` should be a date string.
-        For category data, `start` is based on the category serial
-        numbers, and defaults to -0.5.
-    
-        The 'start' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        end
-            Sets the end value for the y axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each y axis bin. Default behavior: If
-            `nbinsy` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsy`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the y axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-        """
-
-    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
-        """
-        Construct a new YBins object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.YBins`
-        end
-            Sets the end value for the y axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each y axis bin. Default behavior: If
-            `nbinsy` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsy`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the y axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        YBins
-        """
-        super(YBins, self).__init__("ybins")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.YBins 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.YBins`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d import ybins as v_ybins
-
-        # Initialize validators
-        # ---------------------
-        self._validators["end"] = v_ybins.EndValidator()
-        self._validators["size"] = v_ybins.SizeValidator()
-        self._validators["start"] = v_ybins.StartValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class XBins(_BaseTraceHierarchyType):
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end value for the x axis bins. The last bin may not
-        end exactly at this value, we increment the bin edge by `size`
-        from `start` until we reach or exceed `end`. Defaults to the
-        maximum data value. Like `start`, for dates use a date string,
-        and for category data `end` is based on the category serial
-        numbers.
-    
-        The 'end' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the size of each x axis bin. Default behavior: If `nbinsx`
-        is 0 or omitted, we choose a nice round bin size such that the
-        number of bins is about the same as the typical number of
-        samples in each bin. If `nbinsx` is provided, we choose a nice
-        round bin size giving no more than that many bins. For date
-        data, use milliseconds or "M<n>" for months, as in
-        `axis.dtick`. For category data, the number of categories to
-        bin together (always defaults to 1).
-    
-        The 'size' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting value for the x axis bins. Defaults to the
-        minimum data value, shifted down if necessary to make nice
-        round values and to remove ambiguous bin edges. For example, if
-        most of the data is integers we shift the bin edges 0.5 down,
-        so a `size` of 5 would have a default `start` of -0.5, so it is
-        clear that 0-4 are in the first bin, 5-9 in the second, but
-        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
-        Dates behave similarly, and `start` should be a date string.
-        For category data, `start` is based on the category serial
-        numbers, and defaults to -0.5.
-    
-        The 'start' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        end
-            Sets the end value for the x axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each x axis bin. Default behavior: If
-            `nbinsx` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsx`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the x axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-        """
-
-    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
-        """
-        Construct a new XBins object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.XBins`
-        end
-            Sets the end value for the x axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each x axis bin. Default behavior: If
-            `nbinsx` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsx`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the x axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        XBins
-        """
-        super(XBins, self).__init__("xbins")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.XBins 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.XBins`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d import xbins as v_xbins
-
-        # Initialize validators
-        # ---------------------
-        self._validators["end"] = v_xbins.EndValidator()
-        self._validators["size"] = v_xbins.SizeValidator()
-        self._validators["start"] = v_xbins.StartValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the aggregation data.
-    
-        The 'color' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the aggregation data.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        """
-
-    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.Marker`
-        color
-            Sets the aggregation data.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.histogram2d.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.histogram2d.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.histogram2d.co
-        lorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        histogram2d.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use histogram2d.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use histogram2d.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.histogram2d.col
-            orbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.histog
-            ram2d.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            histogram2d.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.histogram2d.colorbar.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use histogram2d.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use histogram2d.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.histogram2d.col
-            orbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.histog
-            ram2d.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            histogram2d.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.histogram2d.colorbar.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use histogram2d.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use histogram2d.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Hoverlabel",
-    "Marker",
-    "Stream",
-    "XBins",
-    "YBins",
-    "colorbar",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.histogram2d import hoverlabel
-from plotly.graph_objs.histogram2d import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ybins import YBins
+    from ._xbins import XBins
+    from ._stream import Stream
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        [
+            "._ybins.YBins",
+            "._xbins.XBins",
+            "._stream.Stream",
+            "._marker.Marker",
+            "._hoverlabel.Hoverlabel",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/_colorbar.py b/packages/python/plotly/plotly/graph_objs/histogram2d/_colorbar.py
new file mode 100644
index 00000000000..13f8e3a3e46
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/_colorbar.py
@@ -0,0 +1,1940 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d"
+    _path_str = "histogram2d.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.histogram2d.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.histogram2d.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.histogram2d.co
+        lorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        histogram2d.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use histogram2d.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use histogram2d.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.histogram2d.col
+            orbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.histog
+            ram2d.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            histogram2d.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.histogram2d.colorbar.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use histogram2d.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use histogram2d.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.histogram2d.col
+            orbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.histog
+            ram2d.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            histogram2d.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.histogram2d.colorbar.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use histogram2d.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use histogram2d.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/histogram2d/_hoverlabel.py
new file mode 100644
index 00000000000..e6c5d8238cd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d"
+    _path_str = "histogram2d.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/_marker.py b/packages/python/plotly/plotly/graph_objs/histogram2d/_marker.py
new file mode 100644
index 00000000000..74b69280943
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/_marker.py
@@ -0,0 +1,128 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d"
+    _path_str = "histogram2d.marker"
+    _valid_props = {"color", "colorsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the aggregation data.
+    
+        The 'color' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the aggregation data.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        """
+
+    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.Marker`
+        color
+            Sets the aggregation data.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/_stream.py b/packages/python/plotly/plotly/graph_objs/histogram2d/_stream.py
new file mode 100644
index 00000000000..bb7ffd29121
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d"
+    _path_str = "histogram2d.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/_xbins.py b/packages/python/plotly/plotly/graph_objs/histogram2d/_xbins.py
new file mode 100644
index 00000000000..61a8daaefbd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/_xbins.py
@@ -0,0 +1,218 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class XBins(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d"
+    _path_str = "histogram2d.xbins"
+    _valid_props = {"end", "size", "start"}
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end value for the x axis bins. The last bin may not
+        end exactly at this value, we increment the bin edge by `size`
+        from `start` until we reach or exceed `end`. Defaults to the
+        maximum data value. Like `start`, for dates use a date string,
+        and for category data `end` is based on the category serial
+        numbers.
+    
+        The 'end' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the size of each x axis bin. Default behavior: If `nbinsx`
+        is 0 or omitted, we choose a nice round bin size such that the
+        number of bins is about the same as the typical number of
+        samples in each bin. If `nbinsx` is provided, we choose a nice
+        round bin size giving no more than that many bins. For date
+        data, use milliseconds or "M<n>" for months, as in
+        `axis.dtick`. For category data, the number of categories to
+        bin together (always defaults to 1).
+    
+        The 'size' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting value for the x axis bins. Defaults to the
+        minimum data value, shifted down if necessary to make nice
+        round values and to remove ambiguous bin edges. For example, if
+        most of the data is integers we shift the bin edges 0.5 down,
+        so a `size` of 5 would have a default `start` of -0.5, so it is
+        clear that 0-4 are in the first bin, 5-9 in the second, but
+        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
+        Dates behave similarly, and `start` should be a date string.
+        For category data, `start` is based on the category serial
+        numbers, and defaults to -0.5.
+    
+        The 'start' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        end
+            Sets the end value for the x axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each x axis bin. Default behavior: If
+            `nbinsx` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsx`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the x axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+        """
+
+    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
+        """
+        Construct a new XBins object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.XBins`
+        end
+            Sets the end value for the x axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each x axis bin. Default behavior: If
+            `nbinsx` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsx`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the x axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        XBins
+        """
+        super(XBins, self).__init__("xbins")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.XBins 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.XBins`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/_ybins.py b/packages/python/plotly/plotly/graph_objs/histogram2d/_ybins.py
new file mode 100644
index 00000000000..80e1992c420
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/_ybins.py
@@ -0,0 +1,218 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class YBins(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d"
+    _path_str = "histogram2d.ybins"
+    _valid_props = {"end", "size", "start"}
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end value for the y axis bins. The last bin may not
+        end exactly at this value, we increment the bin edge by `size`
+        from `start` until we reach or exceed `end`. Defaults to the
+        maximum data value. Like `start`, for dates use a date string,
+        and for category data `end` is based on the category serial
+        numbers.
+    
+        The 'end' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the size of each y axis bin. Default behavior: If `nbinsy`
+        is 0 or omitted, we choose a nice round bin size such that the
+        number of bins is about the same as the typical number of
+        samples in each bin. If `nbinsy` is provided, we choose a nice
+        round bin size giving no more than that many bins. For date
+        data, use milliseconds or "M<n>" for months, as in
+        `axis.dtick`. For category data, the number of categories to
+        bin together (always defaults to 1).
+    
+        The 'size' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting value for the y axis bins. Defaults to the
+        minimum data value, shifted down if necessary to make nice
+        round values and to remove ambiguous bin edges. For example, if
+        most of the data is integers we shift the bin edges 0.5 down,
+        so a `size` of 5 would have a default `start` of -0.5, so it is
+        clear that 0-4 are in the first bin, 5-9 in the second, but
+        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
+        Dates behave similarly, and `start` should be a date string.
+        For category data, `start` is based on the category serial
+        numbers, and defaults to -0.5.
+    
+        The 'start' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        end
+            Sets the end value for the y axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each y axis bin. Default behavior: If
+            `nbinsy` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsy`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the y axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+        """
+
+    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
+        """
+        Construct a new YBins object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.YBins`
+        end
+            Sets the end value for the y axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each y axis bin. Default behavior: If
+            `nbinsy` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsy`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the y axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        YBins
+        """
+        super(YBins, self).__init__("ybins")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.YBins 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.YBins`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/__init__.py
index b7e12bbd1d3..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2d.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2d.co
-            lorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2d.co
-            lorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.histogram2d.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_tickfont.py
new file mode 100644
index 00000000000..98b8c6223ac
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d.colorbar"
+    _path_str = "histogram2d.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2d.co
+            lorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..56bd3092a46
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d.colorbar"
+    _path_str = "histogram2d.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2d.co
+            lorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_title.py
new file mode 100644
index 00000000000..f4baa7e250b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d.colorbar"
+    _path_str = "histogram2d.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2d.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2d.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/__init__.py
index 82e126473fa..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2d.co
-            lorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/_font.py
new file mode 100644
index 00000000000..94bb3056ccb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d.colorbar.title"
+    _path_str = "histogram2d.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2d.co
+            lorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/__init__.py
index 4f9b4654f1c..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2d.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2d.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2d.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2d.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2d.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/_font.py
new file mode 100644
index 00000000000..76c0d40d072
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2d/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2d.hoverlabel"
+    _path_str = "histogram2d.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2d.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2d.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2d.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/__init__.py
index afcb8ce1533..ecdba16ecdd 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/__init__.py
@@ -1,3844 +1,31 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class YBins(_BaseTraceHierarchyType):
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end value for the y axis bins. The last bin may not
-        end exactly at this value, we increment the bin edge by `size`
-        from `start` until we reach or exceed `end`. Defaults to the
-        maximum data value. Like `start`, for dates use a date string,
-        and for category data `end` is based on the category serial
-        numbers.
-    
-        The 'end' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the size of each y axis bin. Default behavior: If `nbinsy`
-        is 0 or omitted, we choose a nice round bin size such that the
-        number of bins is about the same as the typical number of
-        samples in each bin. If `nbinsy` is provided, we choose a nice
-        round bin size giving no more than that many bins. For date
-        data, use milliseconds or "M<n>" for months, as in
-        `axis.dtick`. For category data, the number of categories to
-        bin together (always defaults to 1).
-    
-        The 'size' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting value for the y axis bins. Defaults to the
-        minimum data value, shifted down if necessary to make nice
-        round values and to remove ambiguous bin edges. For example, if
-        most of the data is integers we shift the bin edges 0.5 down,
-        so a `size` of 5 would have a default `start` of -0.5, so it is
-        clear that 0-4 are in the first bin, 5-9 in the second, but
-        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
-        Dates behave similarly, and `start` should be a date string.
-        For category data, `start` is based on the category serial
-        numbers, and defaults to -0.5.
-    
-        The 'start' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        end
-            Sets the end value for the y axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each y axis bin. Default behavior: If
-            `nbinsy` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsy`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the y axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-        """
-
-    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
-        """
-        Construct a new YBins object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.YBins`
-        end
-            Sets the end value for the y axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each y axis bin. Default behavior: If
-            `nbinsy` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsy`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the y axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        YBins
-        """
-        super(YBins, self).__init__("ybins")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.YBins 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.YBins`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import ybins as v_ybins
-
-        # Initialize validators
-        # ---------------------
-        self._validators["end"] = v_ybins.EndValidator()
-        self._validators["size"] = v_ybins.SizeValidator()
-        self._validators["start"] = v_ybins.StartValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class XBins(_BaseTraceHierarchyType):
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end value for the x axis bins. The last bin may not
-        end exactly at this value, we increment the bin edge by `size`
-        from `start` until we reach or exceed `end`. Defaults to the
-        maximum data value. Like `start`, for dates use a date string,
-        and for category data `end` is based on the category serial
-        numbers.
-    
-        The 'end' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the size of each x axis bin. Default behavior: If `nbinsx`
-        is 0 or omitted, we choose a nice round bin size such that the
-        number of bins is about the same as the typical number of
-        samples in each bin. If `nbinsx` is provided, we choose a nice
-        round bin size giving no more than that many bins. For date
-        data, use milliseconds or "M<n>" for months, as in
-        `axis.dtick`. For category data, the number of categories to
-        bin together (always defaults to 1).
-    
-        The 'size' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting value for the x axis bins. Defaults to the
-        minimum data value, shifted down if necessary to make nice
-        round values and to remove ambiguous bin edges. For example, if
-        most of the data is integers we shift the bin edges 0.5 down,
-        so a `size` of 5 would have a default `start` of -0.5, so it is
-        clear that 0-4 are in the first bin, 5-9 in the second, but
-        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
-        Dates behave similarly, and `start` should be a date string.
-        For category data, `start` is based on the category serial
-        numbers, and defaults to -0.5.
-    
-        The 'start' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        end
-            Sets the end value for the x axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each x axis bin. Default behavior: If
-            `nbinsx` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsx`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the x axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-        """
-
-    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
-        """
-        Construct a new XBins object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.XBins`
-        end
-            Sets the end value for the x axis bins. The last bin
-            may not end exactly at this value, we increment the bin
-            edge by `size` from `start` until we reach or exceed
-            `end`. Defaults to the maximum data value. Like
-            `start`, for dates use a date string, and for category
-            data `end` is based on the category serial numbers.
-        size
-            Sets the size of each x axis bin. Default behavior: If
-            `nbinsx` is 0 or omitted, we choose a nice round bin
-            size such that the number of bins is about the same as
-            the typical number of samples in each bin. If `nbinsx`
-            is provided, we choose a nice round bin size giving no
-            more than that many bins. For date data, use
-            milliseconds or "M<n>" for months, as in `axis.dtick`.
-            For category data, the number of categories to bin
-            together (always defaults to 1).
-        start
-            Sets the starting value for the x axis bins. Defaults
-            to the minimum data value, shifted down if necessary to
-            make nice round values and to remove ambiguous bin
-            edges. For example, if most of the data is integers we
-            shift the bin edges 0.5 down, so a `size` of 5 would
-            have a default `start` of -0.5, so it is clear that 0-4
-            are in the first bin, 5-9 in the second, but continuous
-            data gets a start of 0 and bins [0,5), [5,10) etc.
-            Dates behave similarly, and `start` should be a date
-            string. For category data, `start` is based on the
-            category serial numbers, and defaults to -0.5.
-
-        Returns
-        -------
-        XBins
-        """
-        super(XBins, self).__init__("xbins")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.XBins 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.XBins`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import xbins as v_xbins
-
-        # Initialize validators
-        # ---------------------
-        self._validators["end"] = v_xbins.EndValidator()
-        self._validators["size"] = v_xbins.SizeValidator()
-        self._validators["start"] = v_xbins.StartValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the aggregation data.
-    
-        The 'color' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the aggregation data.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        """
-
-    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.Marker`
-        color
-            Sets the aggregation data.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour level. Has no effect if
-        `contours.coloring` is set to "lines".
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Sets the amount of smoothing for the contour lines, where 0
-        corresponds to no smoothing.
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the contour line width in (in px)
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour level. Has no effect if
-            `contours.coloring` is set to "lines".
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        smoothing
-            Sets the amount of smoothing for the contour lines,
-            where 0 corresponds to no smoothing.
-        width
-            Sets the contour line width in (in px)
-        """
-
-    def __init__(
-        self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.Line`
-        color
-            Sets the color of the contour level. Has no effect if
-            `contours.coloring` is set to "lines".
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        smoothing
-            Sets the amount of smoothing for the contour lines,
-            where 0 corresponds to no smoothing.
-        width
-            Sets the contour line width in (in px)
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contours(_BaseTraceHierarchyType):
-
-    # coloring
-    # --------
-    @property
-    def coloring(self):
-        """
-        Determines the coloring method showing the contour values. If
-        "fill", coloring is done evenly between each contour level If
-        "heatmap", a heatmap gradient coloring is applied between each
-        contour level. If "lines", coloring is done on the contour
-        lines. If "none", no coloring is applied on this trace.
-    
-        The 'coloring' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fill', 'heatmap', 'lines', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["coloring"]
-
-    @coloring.setter
-    def coloring(self, val):
-        self["coloring"] = val
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end contour level value. Must be more than
-        `contours.start`
-    
-        The 'end' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # labelfont
-    # ---------
-    @property
-    def labelfont(self):
-        """
-        Sets the font used for labeling the contour levels. The default
-        color comes from the lines, if shown. The default family and
-        size come from `layout.font`.
-    
-        The 'labelfont' property is an instance of Labelfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.contours.Labelfont`
-          - A dict of string/value properties that will be passed
-            to the Labelfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.contours.Labelfont
-        """
-        return self["labelfont"]
-
-    @labelfont.setter
-    def labelfont(self, val):
-        self["labelfont"] = val
-
-    # labelformat
-    # -----------
-    @property
-    def labelformat(self):
-        """
-        Sets the contour label formatting rule using d3 formatting
-        mini-language which is very similar to Python, see:
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'labelformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["labelformat"]
-
-    @labelformat.setter
-    def labelformat(self, val):
-        self["labelformat"] = val
-
-    # operation
-    # ---------
-    @property
-    def operation(self):
-        """
-        Sets the constraint operation. "=" keeps regions equal to
-        `value` "<" and "<=" keep regions less than `value` ">" and
-        ">=" keep regions greater than `value` "[]", "()", "[)", and
-        "(]" keep regions inside `value[0]` to `value[1]` "][", ")(",
-        "](", ")[" keep regions outside `value[0]` to value[1]` Open
-        vs. closed intervals make no difference to constraint display,
-        but all versions are allowed for consistency with filter
-        transforms.
-    
-        The 'operation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['=', '<', '>=', '>', '<=', '[]', '()', '[)', '(]', '][',
-                ')(', '](', ')[']
-
-        Returns
-        -------
-        Any
-        """
-        return self["operation"]
-
-    @operation.setter
-    def operation(self, val):
-        self["operation"] = val
-
-    # showlabels
-    # ----------
-    @property
-    def showlabels(self):
-        """
-        Determines whether to label the contour lines with their
-        values.
-    
-        The 'showlabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlabels"]
-
-    @showlabels.setter
-    def showlabels(self, val):
-        self["showlabels"] = val
-
-    # showlines
-    # ---------
-    @property
-    def showlines(self):
-        """
-        Determines whether or not the contour lines are drawn. Has an
-        effect only if `contours.coloring` is set to "fill".
-    
-        The 'showlines' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlines"]
-
-    @showlines.setter
-    def showlines(self, val):
-        self["showlines"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the step between each contour level. Must be positive.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting contour level value. Must be less than
-        `contours.end`
-    
-        The 'start' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        If `levels`, the data is represented as a contour plot with
-        multiple levels displayed. If `constraint`, the data is
-        represented as constraints with the invalid region shaded as
-        specified by the `operation` and `value` parameters.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['levels', 'constraint']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value or values of the constraint boundary. When
-        `operation` is set to one of the comparison values
-        (=,<,>=,>,<=) "value" is expected to be a number. When
-        `operation` is set to one of the interval values
-        ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of
-        two numbers where the first is the lower bound and the second
-        is the upper bound.
-    
-        The 'value' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        coloring
-            Determines the coloring method showing the contour
-            values. If "fill", coloring is done evenly between each
-            contour level If "heatmap", a heatmap gradient coloring
-            is applied between each contour level. If "lines",
-            coloring is done on the contour lines. If "none", no
-            coloring is applied on this trace.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        labelfont
-            Sets the font used for labeling the contour levels. The
-            default color comes from the lines, if shown. The
-            default family and size come from `layout.font`.
-        labelformat
-            Sets the contour label formatting rule using d3
-            formatting mini-language which is very similar to
-            Python, see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        operation
-            Sets the constraint operation. "=" keeps regions equal
-            to `value` "<" and "<=" keep regions less than `value`
-            ">" and ">=" keep regions greater than `value` "[]",
-            "()", "[)", and "(]" keep regions inside `value[0]` to
-            `value[1]` "][", ")(", "](", ")[" keep regions outside
-            `value[0]` to value[1]` Open vs. closed intervals make
-            no difference to constraint display, but all versions
-            are allowed for consistency with filter transforms.
-        showlabels
-            Determines whether to label the contour lines with
-            their values.
-        showlines
-            Determines whether or not the contour lines are drawn.
-            Has an effect only if `contours.coloring` is set to
-            "fill".
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        type
-            If `levels`, the data is represented as a contour plot
-            with multiple levels displayed. If `constraint`, the
-            data is represented as constraints with the invalid
-            region shaded as specified by the `operation` and
-            `value` parameters.
-        value
-            Sets the value or values of the constraint boundary.
-            When `operation` is set to one of the comparison values
-            (=,<,>=,>,<=) "value" is expected to be a number. When
-            `operation` is set to one of the interval values
-            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
-            array of two numbers where the first is the lower bound
-            and the second is the upper bound.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        coloring=None,
-        end=None,
-        labelfont=None,
-        labelformat=None,
-        operation=None,
-        showlabels=None,
-        showlines=None,
-        size=None,
-        start=None,
-        type=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Contours object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.Contours`
-        coloring
-            Determines the coloring method showing the contour
-            values. If "fill", coloring is done evenly between each
-            contour level If "heatmap", a heatmap gradient coloring
-            is applied between each contour level. If "lines",
-            coloring is done on the contour lines. If "none", no
-            coloring is applied on this trace.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        labelfont
-            Sets the font used for labeling the contour levels. The
-            default color comes from the lines, if shown. The
-            default family and size come from `layout.font`.
-        labelformat
-            Sets the contour label formatting rule using d3
-            formatting mini-language which is very similar to
-            Python, see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        operation
-            Sets the constraint operation. "=" keeps regions equal
-            to `value` "<" and "<=" keep regions less than `value`
-            ">" and ">=" keep regions greater than `value` "[]",
-            "()", "[)", and "(]" keep regions inside `value[0]` to
-            `value[1]` "][", ")(", "](", ")[" keep regions outside
-            `value[0]` to value[1]` Open vs. closed intervals make
-            no difference to constraint display, but all versions
-            are allowed for consistency with filter transforms.
-        showlabels
-            Determines whether to label the contour lines with
-            their values.
-        showlines
-            Determines whether or not the contour lines are drawn.
-            Has an effect only if `contours.coloring` is set to
-            "fill".
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        type
-            If `levels`, the data is represented as a contour plot
-            with multiple levels displayed. If `constraint`, the
-            data is represented as constraints with the invalid
-            region shaded as specified by the `operation` and
-            `value` parameters.
-        value
-            Sets the value or values of the constraint boundary.
-            When `operation` is set to one of the comparison values
-            (=,<,>=,>,<=) "value" is expected to be a number. When
-            `operation` is set to one of the interval values
-            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
-            array of two numbers where the first is the lower bound
-            and the second is the upper bound.
-
-        Returns
-        -------
-        Contours
-        """
-        super(Contours, self).__init__("contours")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.Contours 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.Contours`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import contours as v_contours
-
-        # Initialize validators
-        # ---------------------
-        self._validators["coloring"] = v_contours.ColoringValidator()
-        self._validators["end"] = v_contours.EndValidator()
-        self._validators["labelfont"] = v_contours.LabelfontValidator()
-        self._validators["labelformat"] = v_contours.LabelformatValidator()
-        self._validators["operation"] = v_contours.OperationValidator()
-        self._validators["showlabels"] = v_contours.ShowlabelsValidator()
-        self._validators["showlines"] = v_contours.ShowlinesValidator()
-        self._validators["size"] = v_contours.SizeValidator()
-        self._validators["start"] = v_contours.StartValidator()
-        self._validators["type"] = v_contours.TypeValidator()
-        self._validators["value"] = v_contours.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("coloring", None)
-        self["coloring"] = coloring if coloring is not None else _v
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("labelfont", None)
-        self["labelfont"] = labelfont if labelfont is not None else _v
-        _v = arg.pop("labelformat", None)
-        self["labelformat"] = labelformat if labelformat is not None else _v
-        _v = arg.pop("operation", None)
-        self["operation"] = operation if operation is not None else _v
-        _v = arg.pop("showlabels", None)
-        self["showlabels"] = showlabels if showlabels is not None else _v
-        _v = arg.pop("showlines", None)
-        self["showlines"] = showlines if showlines is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.histogram2dcon
-        tour.colorbar.tickformatstopdefaults), sets the default
-        property values to use for elements of
-        histogram2dcontour.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use histogram2dcontour.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use histogram2dcontour.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.histogram2dcont
-            our.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.histog
-            ram2dcontour.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            histogram2dcontour.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.histogram2dcontour.colorba
-            r.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            histogram2dcontour.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            histogram2dcontour.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.histogram2dcontour.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.histogram2dcont
-            our.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.histog
-            ram2dcontour.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            histogram2dcontour.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.histogram2dcontour.colorba
-            r.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            histogram2dcontour.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            histogram2dcontour.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Contours",
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Stream",
-    "XBins",
-    "YBins",
-    "colorbar",
-    "contours",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.histogram2dcontour import hoverlabel
-from plotly.graph_objs.histogram2dcontour import contours
-from plotly.graph_objs.histogram2dcontour import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ybins import YBins
+    from ._xbins import XBins
+    from ._stream import Stream
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._contours import Contours
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import contours
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".contours", ".colorbar"],
+        [
+            "._ybins.YBins",
+            "._xbins.XBins",
+            "._stream.Stream",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+            "._contours.Contours",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_colorbar.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_colorbar.py
new file mode 100644
index 00000000000..3ac91f9c809
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_colorbar.py
@@ -0,0 +1,1945 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.histogram2dcon
+        tour.colorbar.tickformatstopdefaults), sets the default
+        property values to use for elements of
+        histogram2dcontour.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use histogram2dcontour.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use histogram2dcontour.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.histogram2dcont
+            our.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.histog
+            ram2dcontour.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            histogram2dcontour.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.histogram2dcontour.colorba
+            r.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            histogram2dcontour.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            histogram2dcontour.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.histogram2dcont
+            our.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.histog
+            ram2dcontour.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            histogram2dcontour.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.histogram2dcontour.colorba
+            r.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            histogram2dcontour.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            histogram2dcontour.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_contours.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_contours.py
new file mode 100644
index 00000000000..11d06de73a5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_contours.py
@@ -0,0 +1,530 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contours(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.contours"
+    _valid_props = {
+        "coloring",
+        "end",
+        "labelfont",
+        "labelformat",
+        "operation",
+        "showlabels",
+        "showlines",
+        "size",
+        "start",
+        "type",
+        "value",
+    }
+
+    # coloring
+    # --------
+    @property
+    def coloring(self):
+        """
+        Determines the coloring method showing the contour values. If
+        "fill", coloring is done evenly between each contour level If
+        "heatmap", a heatmap gradient coloring is applied between each
+        contour level. If "lines", coloring is done on the contour
+        lines. If "none", no coloring is applied on this trace.
+    
+        The 'coloring' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fill', 'heatmap', 'lines', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["coloring"]
+
+    @coloring.setter
+    def coloring(self, val):
+        self["coloring"] = val
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end contour level value. Must be more than
+        `contours.start`
+    
+        The 'end' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # labelfont
+    # ---------
+    @property
+    def labelfont(self):
+        """
+        Sets the font used for labeling the contour levels. The default
+        color comes from the lines, if shown. The default family and
+        size come from `layout.font`.
+    
+        The 'labelfont' property is an instance of Labelfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.contours.Labelfont`
+          - A dict of string/value properties that will be passed
+            to the Labelfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.contours.Labelfont
+        """
+        return self["labelfont"]
+
+    @labelfont.setter
+    def labelfont(self, val):
+        self["labelfont"] = val
+
+    # labelformat
+    # -----------
+    @property
+    def labelformat(self):
+        """
+        Sets the contour label formatting rule using d3 formatting
+        mini-language which is very similar to Python, see:
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'labelformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["labelformat"]
+
+    @labelformat.setter
+    def labelformat(self, val):
+        self["labelformat"] = val
+
+    # operation
+    # ---------
+    @property
+    def operation(self):
+        """
+        Sets the constraint operation. "=" keeps regions equal to
+        `value` "<" and "<=" keep regions less than `value` ">" and
+        ">=" keep regions greater than `value` "[]", "()", "[)", and
+        "(]" keep regions inside `value[0]` to `value[1]` "][", ")(",
+        "](", ")[" keep regions outside `value[0]` to value[1]` Open
+        vs. closed intervals make no difference to constraint display,
+        but all versions are allowed for consistency with filter
+        transforms.
+    
+        The 'operation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['=', '<', '>=', '>', '<=', '[]', '()', '[)', '(]', '][',
+                ')(', '](', ')[']
+
+        Returns
+        -------
+        Any
+        """
+        return self["operation"]
+
+    @operation.setter
+    def operation(self, val):
+        self["operation"] = val
+
+    # showlabels
+    # ----------
+    @property
+    def showlabels(self):
+        """
+        Determines whether to label the contour lines with their
+        values.
+    
+        The 'showlabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlabels"]
+
+    @showlabels.setter
+    def showlabels(self, val):
+        self["showlabels"] = val
+
+    # showlines
+    # ---------
+    @property
+    def showlines(self):
+        """
+        Determines whether or not the contour lines are drawn. Has an
+        effect only if `contours.coloring` is set to "fill".
+    
+        The 'showlines' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlines"]
+
+    @showlines.setter
+    def showlines(self, val):
+        self["showlines"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the step between each contour level. Must be positive.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting contour level value. Must be less than
+        `contours.end`
+    
+        The 'start' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        If `levels`, the data is represented as a contour plot with
+        multiple levels displayed. If `constraint`, the data is
+        represented as constraints with the invalid region shaded as
+        specified by the `operation` and `value` parameters.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['levels', 'constraint']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value or values of the constraint boundary. When
+        `operation` is set to one of the comparison values
+        (=,<,>=,>,<=) "value" is expected to be a number. When
+        `operation` is set to one of the interval values
+        ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of
+        two numbers where the first is the lower bound and the second
+        is the upper bound.
+    
+        The 'value' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        coloring
+            Determines the coloring method showing the contour
+            values. If "fill", coloring is done evenly between each
+            contour level If "heatmap", a heatmap gradient coloring
+            is applied between each contour level. If "lines",
+            coloring is done on the contour lines. If "none", no
+            coloring is applied on this trace.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        labelfont
+            Sets the font used for labeling the contour levels. The
+            default color comes from the lines, if shown. The
+            default family and size come from `layout.font`.
+        labelformat
+            Sets the contour label formatting rule using d3
+            formatting mini-language which is very similar to
+            Python, see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        operation
+            Sets the constraint operation. "=" keeps regions equal
+            to `value` "<" and "<=" keep regions less than `value`
+            ">" and ">=" keep regions greater than `value` "[]",
+            "()", "[)", and "(]" keep regions inside `value[0]` to
+            `value[1]` "][", ")(", "](", ")[" keep regions outside
+            `value[0]` to value[1]` Open vs. closed intervals make
+            no difference to constraint display, but all versions
+            are allowed for consistency with filter transforms.
+        showlabels
+            Determines whether to label the contour lines with
+            their values.
+        showlines
+            Determines whether or not the contour lines are drawn.
+            Has an effect only if `contours.coloring` is set to
+            "fill".
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        type
+            If `levels`, the data is represented as a contour plot
+            with multiple levels displayed. If `constraint`, the
+            data is represented as constraints with the invalid
+            region shaded as specified by the `operation` and
+            `value` parameters.
+        value
+            Sets the value or values of the constraint boundary.
+            When `operation` is set to one of the comparison values
+            (=,<,>=,>,<=) "value" is expected to be a number. When
+            `operation` is set to one of the interval values
+            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
+            array of two numbers where the first is the lower bound
+            and the second is the upper bound.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        coloring=None,
+        end=None,
+        labelfont=None,
+        labelformat=None,
+        operation=None,
+        showlabels=None,
+        showlines=None,
+        size=None,
+        start=None,
+        type=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Contours object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.Contours`
+        coloring
+            Determines the coloring method showing the contour
+            values. If "fill", coloring is done evenly between each
+            contour level If "heatmap", a heatmap gradient coloring
+            is applied between each contour level. If "lines",
+            coloring is done on the contour lines. If "none", no
+            coloring is applied on this trace.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        labelfont
+            Sets the font used for labeling the contour levels. The
+            default color comes from the lines, if shown. The
+            default family and size come from `layout.font`.
+        labelformat
+            Sets the contour label formatting rule using d3
+            formatting mini-language which is very similar to
+            Python, see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        operation
+            Sets the constraint operation. "=" keeps regions equal
+            to `value` "<" and "<=" keep regions less than `value`
+            ">" and ">=" keep regions greater than `value` "[]",
+            "()", "[)", and "(]" keep regions inside `value[0]` to
+            `value[1]` "][", ")(", "](", ")[" keep regions outside
+            `value[0]` to value[1]` Open vs. closed intervals make
+            no difference to constraint display, but all versions
+            are allowed for consistency with filter transforms.
+        showlabels
+            Determines whether to label the contour lines with
+            their values.
+        showlines
+            Determines whether or not the contour lines are drawn.
+            Has an effect only if `contours.coloring` is set to
+            "fill".
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        type
+            If `levels`, the data is represented as a contour plot
+            with multiple levels displayed. If `constraint`, the
+            data is represented as constraints with the invalid
+            region shaded as specified by the `operation` and
+            `value` parameters.
+        value
+            Sets the value or values of the constraint boundary.
+            When `operation` is set to one of the comparison values
+            (=,<,>=,>,<=) "value" is expected to be a number. When
+            `operation` is set to one of the interval values
+            ([],(),[),(],][,)(,](,)[) "value" is expected to be an
+            array of two numbers where the first is the lower bound
+            and the second is the upper bound.
+
+        Returns
+        -------
+        Contours
+        """
+        super(Contours, self).__init__("contours")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.Contours 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.Contours`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("coloring", None)
+        _v = coloring if coloring is not None else _v
+        if _v is not None:
+            self["coloring"] = _v
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("labelfont", None)
+        _v = labelfont if labelfont is not None else _v
+        if _v is not None:
+            self["labelfont"] = _v
+        _v = arg.pop("labelformat", None)
+        _v = labelformat if labelformat is not None else _v
+        if _v is not None:
+            self["labelformat"] = _v
+        _v = arg.pop("operation", None)
+        _v = operation if operation is not None else _v
+        if _v is not None:
+            self["operation"] = _v
+        _v = arg.pop("showlabels", None)
+        _v = showlabels if showlabels is not None else _v
+        if _v is not None:
+            self["showlabels"] = _v
+        _v = arg.pop("showlines", None)
+        _v = showlines if showlines is not None else _v
+        if _v is not None:
+            self["showlines"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_hoverlabel.py
new file mode 100644
index 00000000000..dfa3fa51068
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_line.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_line.py
new file mode 100644
index 00000000000..5f47d6f44b4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_line.py
@@ -0,0 +1,241 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.line"
+    _valid_props = {"color", "dash", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour level. Has no effect if
+        `contours.coloring` is set to "lines".
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Sets the amount of smoothing for the contour lines, where 0
+        corresponds to no smoothing.
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the contour line width in (in px)
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour level. Has no effect if
+            `contours.coloring` is set to "lines".
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        smoothing
+            Sets the amount of smoothing for the contour lines,
+            where 0 corresponds to no smoothing.
+        width
+            Sets the contour line width in (in px)
+        """
+
+    def __init__(
+        self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.Line`
+        color
+            Sets the color of the contour level. Has no effect if
+            `contours.coloring` is set to "lines".
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        smoothing
+            Sets the amount of smoothing for the contour lines,
+            where 0 corresponds to no smoothing.
+        width
+            Sets the contour line width in (in px)
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_marker.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_marker.py
new file mode 100644
index 00000000000..6bd4bc89f8f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_marker.py
@@ -0,0 +1,128 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.marker"
+    _valid_props = {"color", "colorsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the aggregation data.
+    
+        The 'color' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the aggregation data.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        """
+
+    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.Marker`
+        color
+            Sets the aggregation data.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_stream.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_stream.py
new file mode 100644
index 00000000000..0402aa2538c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_xbins.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_xbins.py
new file mode 100644
index 00000000000..a99b2748d0a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_xbins.py
@@ -0,0 +1,218 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class XBins(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.xbins"
+    _valid_props = {"end", "size", "start"}
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end value for the x axis bins. The last bin may not
+        end exactly at this value, we increment the bin edge by `size`
+        from `start` until we reach or exceed `end`. Defaults to the
+        maximum data value. Like `start`, for dates use a date string,
+        and for category data `end` is based on the category serial
+        numbers.
+    
+        The 'end' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the size of each x axis bin. Default behavior: If `nbinsx`
+        is 0 or omitted, we choose a nice round bin size such that the
+        number of bins is about the same as the typical number of
+        samples in each bin. If `nbinsx` is provided, we choose a nice
+        round bin size giving no more than that many bins. For date
+        data, use milliseconds or "M<n>" for months, as in
+        `axis.dtick`. For category data, the number of categories to
+        bin together (always defaults to 1).
+    
+        The 'size' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting value for the x axis bins. Defaults to the
+        minimum data value, shifted down if necessary to make nice
+        round values and to remove ambiguous bin edges. For example, if
+        most of the data is integers we shift the bin edges 0.5 down,
+        so a `size` of 5 would have a default `start` of -0.5, so it is
+        clear that 0-4 are in the first bin, 5-9 in the second, but
+        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
+        Dates behave similarly, and `start` should be a date string.
+        For category data, `start` is based on the category serial
+        numbers, and defaults to -0.5.
+    
+        The 'start' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        end
+            Sets the end value for the x axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each x axis bin. Default behavior: If
+            `nbinsx` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsx`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the x axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+        """
+
+    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
+        """
+        Construct a new XBins object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.XBins`
+        end
+            Sets the end value for the x axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each x axis bin. Default behavior: If
+            `nbinsx` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsx`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the x axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        XBins
+        """
+        super(XBins, self).__init__("xbins")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.XBins 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.XBins`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_ybins.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_ybins.py
new file mode 100644
index 00000000000..2ed2d3facf2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/_ybins.py
@@ -0,0 +1,218 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class YBins(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour"
+    _path_str = "histogram2dcontour.ybins"
+    _valid_props = {"end", "size", "start"}
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end value for the y axis bins. The last bin may not
+        end exactly at this value, we increment the bin edge by `size`
+        from `start` until we reach or exceed `end`. Defaults to the
+        maximum data value. Like `start`, for dates use a date string,
+        and for category data `end` is based on the category serial
+        numbers.
+    
+        The 'end' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the size of each y axis bin. Default behavior: If `nbinsy`
+        is 0 or omitted, we choose a nice round bin size such that the
+        number of bins is about the same as the typical number of
+        samples in each bin. If `nbinsy` is provided, we choose a nice
+        round bin size giving no more than that many bins. For date
+        data, use milliseconds or "M<n>" for months, as in
+        `axis.dtick`. For category data, the number of categories to
+        bin together (always defaults to 1).
+    
+        The 'size' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting value for the y axis bins. Defaults to the
+        minimum data value, shifted down if necessary to make nice
+        round values and to remove ambiguous bin edges. For example, if
+        most of the data is integers we shift the bin edges 0.5 down,
+        so a `size` of 5 would have a default `start` of -0.5, so it is
+        clear that 0-4 are in the first bin, 5-9 in the second, but
+        continuous data gets a start of 0 and bins [0,5), [5,10) etc.
+        Dates behave similarly, and `start` should be a date string.
+        For category data, `start` is based on the category serial
+        numbers, and defaults to -0.5.
+    
+        The 'start' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        end
+            Sets the end value for the y axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each y axis bin. Default behavior: If
+            `nbinsy` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsy`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the y axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+        """
+
+    def __init__(self, arg=None, end=None, size=None, start=None, **kwargs):
+        """
+        Construct a new YBins object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.histogram2dcontour.YBins`
+        end
+            Sets the end value for the y axis bins. The last bin
+            may not end exactly at this value, we increment the bin
+            edge by `size` from `start` until we reach or exceed
+            `end`. Defaults to the maximum data value. Like
+            `start`, for dates use a date string, and for category
+            data `end` is based on the category serial numbers.
+        size
+            Sets the size of each y axis bin. Default behavior: If
+            `nbinsy` is 0 or omitted, we choose a nice round bin
+            size such that the number of bins is about the same as
+            the typical number of samples in each bin. If `nbinsy`
+            is provided, we choose a nice round bin size giving no
+            more than that many bins. For date data, use
+            milliseconds or "M<n>" for months, as in `axis.dtick`.
+            For category data, the number of categories to bin
+            together (always defaults to 1).
+        start
+            Sets the starting value for the y axis bins. Defaults
+            to the minimum data value, shifted down if necessary to
+            make nice round values and to remove ambiguous bin
+            edges. For example, if most of the data is integers we
+            shift the bin edges 0.5 down, so a `size` of 5 would
+            have a default `start` of -0.5, so it is clear that 0-4
+            are in the first bin, 5-9 in the second, but continuous
+            data gets a start of 0 and bins [0,5), [5,10) etc.
+            Dates behave similarly, and `start` should be a date
+            string. For category data, `start` is based on the
+            category serial numbers, and defaults to -0.5.
+
+        Returns
+        -------
+        YBins
+        """
+        super(YBins, self).__init__("ybins")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.YBins 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.YBins`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/__init__.py
index e579398265f..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.histogram2dcontour.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.histogram2dcontour.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_tickfont.py
new file mode 100644
index 00000000000..1bde5a7606d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour.colorbar"
+    _path_str = "histogram2dcontour.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..42791b8cdd2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour.colorbar"
+    _path_str = "histogram2dcontour.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_title.py
new file mode 100644
index 00000000000..f6f14a24bbc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour.colorbar"
+    _path_str = "histogram2dcontour.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.histogram2dcontour.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/__init__.py
index c041e8998e7..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/_font.py
new file mode 100644
index 00000000000..6e349deb70a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour.colorbar.title"
+    _path_str = "histogram2dcontour.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/__init__.py
index 4c67249514d..4c1ccf7f8e8 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/__init__.py
@@ -1,233 +1,10 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._labelfont import Labelfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Labelfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour.contours"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Labelfont object
-        
-        Sets the font used for labeling the contour levels. The default
-        color comes from the lines, if shown. The default family and
-        size come from `layout.font`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.contours.Labelfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Labelfont
-        """
-        super(Labelfont, self).__init__("labelfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.contours.Labelfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.contours.Labelfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour.contours import (
-            labelfont as v_labelfont,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_labelfont.ColorValidator()
-        self._validators["family"] = v_labelfont.FamilyValidator()
-        self._validators["size"] = v_labelfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Labelfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._labelfont.Labelfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/_labelfont.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/_labelfont.py
new file mode 100644
index 00000000000..655f1e1f891
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/contours/_labelfont.py
@@ -0,0 +1,228 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Labelfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour.contours"
+    _path_str = "histogram2dcontour.contours.labelfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Labelfont object
+        
+        Sets the font used for labeling the contour levels. The default
+        color comes from the lines, if shown. The default family and
+        size come from `layout.font`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.contours.Labelfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Labelfont
+        """
+        super(Labelfont, self).__init__("labelfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.contours.Labelfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.contours.Labelfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/__init__.py
index 7abe0f52c3b..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "histogram2dcontour.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.histogram2dcon
-            tour.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.histogram2dcontour.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.histogram2dcontour.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.histogram2dcontour.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/_font.py
new file mode 100644
index 00000000000..62c7bfddc22
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/histogram2dcontour/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "histogram2dcontour.hoverlabel"
+    _path_str = "histogram2dcontour.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.histogram2dcon
+            tour.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.histogram2dcontour.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.histogram2dcontour.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/image/__init__.py b/packages/python/plotly/plotly/graph_objs/image/__init__.py
index 90e115cd925..57b4019e9e1 100644
--- a/packages/python/plotly/plotly/graph_objs/image/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/image/__init__.py
@@ -1,633 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "image"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.image.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.image.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.image.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.image import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.image.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.image.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "image"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.image.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.image.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.image.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.image import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Hoverlabel", "Stream", "hoverlabel"]
-
-from plotly.graph_objs.image import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._hoverlabel import Hoverlabel
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".hoverlabel"], ["._stream.Stream", "._hoverlabel.Hoverlabel"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/image/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/image/_hoverlabel.py
new file mode 100644
index 00000000000..7e03260f18b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/image/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "image"
+    _path_str = "image.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.image.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.image.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.image.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.image.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.image.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/image/_stream.py b/packages/python/plotly/plotly/graph_objs/image/_stream.py
new file mode 100644
index 00000000000..8c10822ba55
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/image/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "image"
+    _path_str = "image.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.image.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.image.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.image.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/image/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/image/hoverlabel/__init__.py
index cd47a1a05c0..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/image/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/image/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "image.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.image.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.image.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.image.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.image.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/image/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/image/hoverlabel/_font.py
new file mode 100644
index 00000000000..ce199fad323
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/image/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "image.hoverlabel"
+    _path_str = "image.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.image.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.image.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.image.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/__init__.py
index 6181e09db26..da8e53aee70 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/__init__.py
@@ -1,1769 +1,28 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the title. It defaults to
-        `center` except for bullet charts for which it defaults to
-        right.
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Set the font used to display the title
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this indicator.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the title. It defaults
-            to `center` except for bullet charts for which it
-            defaults to right.
-        font
-            Set the font used to display the title
-        text
-            Sets the title of this indicator.
-        """
-
-    def __init__(self, arg=None, align=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.Title`
-        align
-            Sets the horizontal alignment of the title. It defaults
-            to `center` except for bullet charts for which it
-            defaults to right.
-        font
-            Set the font used to display the title
-        text
-            Sets the title of this indicator.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_title.AlignValidator()
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Number(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Set the font used to display main number
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.number.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.number.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # prefix
-    # ------
-    @property
-    def prefix(self):
-        """
-        Sets a prefix appearing before the number.
-    
-        The 'prefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["prefix"]
-
-    @prefix.setter
-    def prefix(self, val):
-        self["prefix"] = val
-
-    # suffix
-    # ------
-    @property
-    def suffix(self):
-        """
-        Sets a suffix appearing next to the number.
-    
-        The 'suffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["suffix"]
-
-    @suffix.setter
-    def suffix(self, val):
-        self["suffix"] = val
-
-    # valueformat
-    # -----------
-    @property
-    def valueformat(self):
-        """
-        Sets the value formatting rule using d3 formatting mini-
-        language which is similar to those of Python. See
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'valueformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["valueformat"]
-
-    @valueformat.setter
-    def valueformat(self, val):
-        self["valueformat"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Set the font used to display main number
-        prefix
-            Sets a prefix appearing before the number.
-        suffix
-            Sets a suffix appearing next to the number.
-        valueformat
-            Sets the value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        """
-
-    def __init__(
-        self, arg=None, font=None, prefix=None, suffix=None, valueformat=None, **kwargs
-    ):
-        """
-        Construct a new Number object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.Number`
-        font
-            Set the font used to display main number
-        prefix
-            Sets a prefix appearing before the number.
-        suffix
-            Sets a suffix appearing next to the number.
-        valueformat
-            Sets the value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-
-        Returns
-        -------
-        Number
-        """
-        super(Number, self).__init__("number")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.Number 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.Number`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator import number as v_number
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_number.FontValidator()
-        self._validators["prefix"] = v_number.PrefixValidator()
-        self._validators["suffix"] = v_number.SuffixValidator()
-        self._validators["valueformat"] = v_number.ValueformatValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("prefix", None)
-        self["prefix"] = prefix if prefix is not None else _v
-        _v = arg.pop("suffix", None)
-        self["suffix"] = suffix if suffix is not None else _v
-        _v = arg.pop("valueformat", None)
-        self["valueformat"] = valueformat if valueformat is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Gauge(_BaseTraceHierarchyType):
-
-    # axis
-    # ----
-    @property
-    def axis(self):
-        """
-        The 'axis' property is an instance of Axis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.Axis`
-          - A dict of string/value properties that will be passed
-            to the Axis constructor
-    
-            Supported dict properties:
-                
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.indicat
-                    or.gauge.axis.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.indicator.gauge.axis.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of
-                    indicator.gauge.axis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.Axis
-        """
-        return self["axis"]
-
-    @axis.setter
-    def axis(self, val):
-        self["axis"] = val
-
-    # bar
-    # ---
-    @property
-    def bar(self):
-        """
-        Set the appearance of the gauge's value
-    
-        The 'bar' property is an instance of Bar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.Bar`
-          - A dict of string/value properties that will be passed
-            to the Bar constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the background color of the arc.
-                line
-                    :class:`plotly.graph_objects.indicator.gauge.ba
-                    r.Line` instance or dict with compatible
-                    properties
-                thickness
-                    Sets the thickness of the bar as a fraction of
-                    the total thickness of the gauge.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.Bar
-        """
-        return self["bar"]
-
-    @bar.setter
-    def bar(self, val):
-        self["bar"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the gauge background color.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the gauge.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the gauge.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Set the shape of the gauge
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['angular', 'bullet']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # steps
-    # -----
-    @property
-    def steps(self):
-        """
-        The 'steps' property is a tuple of instances of
-        Step that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.indicator.gauge.Step
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Step constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the background color of the arc.
-                line
-                    :class:`plotly.graph_objects.indicator.gauge.st
-                    ep.Line` instance or dict with compatible
-                    properties
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                range
-                    Sets the range of this axis.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                thickness
-                    Sets the thickness of the bar as a fraction of
-                    the total thickness of the gauge.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.indicator.gauge.Step]
-        """
-        return self["steps"]
-
-    @steps.setter
-    def steps(self, val):
-        self["steps"] = val
-
-    # stepdefaults
-    # ------------
-    @property
-    def stepdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.indicator.gauge.stepdefaults), sets the
-        default property values to use for elements of
-        indicator.gauge.steps
-    
-        The 'stepdefaults' property is an instance of Step
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.Step`
-          - A dict of string/value properties that will be passed
-            to the Step constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.Step
-        """
-        return self["stepdefaults"]
-
-    @stepdefaults.setter
-    def stepdefaults(self, val):
-        self["stepdefaults"] = val
-
-    # threshold
-    # ---------
-    @property
-    def threshold(self):
-        """
-        The 'threshold' property is an instance of Threshold
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.Threshold`
-          - A dict of string/value properties that will be passed
-            to the Threshold constructor
-    
-            Supported dict properties:
-                
-                line
-                    :class:`plotly.graph_objects.indicator.gauge.th
-                    reshold.Line` instance or dict with compatible
-                    properties
-                thickness
-                    Sets the thickness of the threshold line as a
-                    fraction of the thickness of the gauge.
-                value
-                    Sets a treshold value drawn as a line.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.Threshold
-        """
-        return self["threshold"]
-
-    @threshold.setter
-    def threshold(self, val):
-        self["threshold"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        axis
-            :class:`plotly.graph_objects.indicator.gauge.Axis`
-            instance or dict with compatible properties
-        bar
-            Set the appearance of the gauge's value
-        bgcolor
-            Sets the gauge background color.
-        bordercolor
-            Sets the color of the border enclosing the gauge.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            gauge.
-        shape
-            Set the shape of the gauge
-        steps
-            A tuple of
-            :class:`plotly.graph_objects.indicator.gauge.Step`
-            instances or dicts with compatible properties
-        stepdefaults
-            When used in a template (as
-            layout.template.data.indicator.gauge.stepdefaults),
-            sets the default property values to use for elements of
-            indicator.gauge.steps
-        threshold
-            :class:`plotly.graph_objects.indicator.gauge.Threshold`
-            instance or dict with compatible properties
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        axis=None,
-        bar=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        shape=None,
-        steps=None,
-        stepdefaults=None,
-        threshold=None,
-        **kwargs
-    ):
-        """
-        Construct a new Gauge object
-        
-        The gauge of the Indicator plot.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.Gauge`
-        axis
-            :class:`plotly.graph_objects.indicator.gauge.Axis`
-            instance or dict with compatible properties
-        bar
-            Set the appearance of the gauge's value
-        bgcolor
-            Sets the gauge background color.
-        bordercolor
-            Sets the color of the border enclosing the gauge.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            gauge.
-        shape
-            Set the shape of the gauge
-        steps
-            A tuple of
-            :class:`plotly.graph_objects.indicator.gauge.Step`
-            instances or dicts with compatible properties
-        stepdefaults
-            When used in a template (as
-            layout.template.data.indicator.gauge.stepdefaults),
-            sets the default property values to use for elements of
-            indicator.gauge.steps
-        threshold
-            :class:`plotly.graph_objects.indicator.gauge.Threshold`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Gauge
-        """
-        super(Gauge, self).__init__("gauge")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.Gauge 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.Gauge`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator import gauge as v_gauge
-
-        # Initialize validators
-        # ---------------------
-        self._validators["axis"] = v_gauge.AxisValidator()
-        self._validators["bar"] = v_gauge.BarValidator()
-        self._validators["bgcolor"] = v_gauge.BgcolorValidator()
-        self._validators["bordercolor"] = v_gauge.BordercolorValidator()
-        self._validators["borderwidth"] = v_gauge.BorderwidthValidator()
-        self._validators["shape"] = v_gauge.ShapeValidator()
-        self._validators["steps"] = v_gauge.StepsValidator()
-        self._validators["stepdefaults"] = v_gauge.StepValidator()
-        self._validators["threshold"] = v_gauge.ThresholdValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("axis", None)
-        self["axis"] = axis if axis is not None else _v
-        _v = arg.pop("bar", None)
-        self["bar"] = bar if bar is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("steps", None)
-        self["steps"] = steps if steps is not None else _v
-        _v = arg.pop("stepdefaults", None)
-        self["stepdefaults"] = stepdefaults if stepdefaults is not None else _v
-        _v = arg.pop("threshold", None)
-        self["threshold"] = threshold if threshold is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this indicator trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this indicator trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this indicator trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this indicator trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this indicator trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this indicator trace .
-        x
-            Sets the horizontal domain of this indicator trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this indicator trace (in
-            plot fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this indicator trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this indicator trace .
-        x
-            Sets the horizontal domain of this indicator trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this indicator trace (in
-            plot fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Delta(_BaseTraceHierarchyType):
-
-    # decreasing
-    # ----------
-    @property
-    def decreasing(self):
-        """
-        The 'decreasing' property is an instance of Decreasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.delta.Decreasing`
-          - A dict of string/value properties that will be passed
-            to the Decreasing constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color for increasing value.
-                symbol
-                    Sets the symbol to display for increasing value
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.delta.Decreasing
-        """
-        return self["decreasing"]
-
-    @decreasing.setter
-    def decreasing(self, val):
-        self["decreasing"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Set the font used to display the delta
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.delta.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.delta.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # increasing
-    # ----------
-    @property
-    def increasing(self):
-        """
-        The 'increasing' property is an instance of Increasing
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.delta.Increasing`
-          - A dict of string/value properties that will be passed
-            to the Increasing constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color for increasing value.
-                symbol
-                    Sets the symbol to display for increasing value
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.delta.Increasing
-        """
-        return self["increasing"]
-
-    @increasing.setter
-    def increasing(self, val):
-        self["increasing"] = val
-
-    # position
-    # --------
-    @property
-    def position(self):
-        """
-        Sets the position of delta with respect to the number.
-    
-        The 'position' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'bottom', 'left', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["position"]
-
-    @position.setter
-    def position(self, val):
-        self["position"] = val
-
-    # reference
-    # ---------
-    @property
-    def reference(self):
-        """
-        Sets the reference value to compute the delta. By default, it
-        is set to the current value.
-    
-        The 'reference' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["reference"]
-
-    @reference.setter
-    def reference(self, val):
-        self["reference"] = val
-
-    # relative
-    # --------
-    @property
-    def relative(self):
-        """
-        Show relative change
-    
-        The 'relative' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["relative"]
-
-    @relative.setter
-    def relative(self, val):
-        self["relative"] = val
-
-    # valueformat
-    # -----------
-    @property
-    def valueformat(self):
-        """
-        Sets the value formatting rule using d3 formatting mini-
-        language which is similar to those of Python. See
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'valueformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["valueformat"]
-
-    @valueformat.setter
-    def valueformat(self, val):
-        self["valueformat"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        decreasing
-            :class:`plotly.graph_objects.indicator.delta.Decreasing
-            ` instance or dict with compatible properties
-        font
-            Set the font used to display the delta
-        increasing
-            :class:`plotly.graph_objects.indicator.delta.Increasing
-            ` instance or dict with compatible properties
-        position
-            Sets the position of delta with respect to the number.
-        reference
-            Sets the reference value to compute the delta. By
-            default, it is set to the current value.
-        relative
-            Show relative change
-        valueformat
-            Sets the value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        decreasing=None,
-        font=None,
-        increasing=None,
-        position=None,
-        reference=None,
-        relative=None,
-        valueformat=None,
-        **kwargs
-    ):
-        """
-        Construct a new Delta object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.Delta`
-        decreasing
-            :class:`plotly.graph_objects.indicator.delta.Decreasing
-            ` instance or dict with compatible properties
-        font
-            Set the font used to display the delta
-        increasing
-            :class:`plotly.graph_objects.indicator.delta.Increasing
-            ` instance or dict with compatible properties
-        position
-            Sets the position of delta with respect to the number.
-        reference
-            Sets the reference value to compute the delta. By
-            default, it is set to the current value.
-        relative
-            Show relative change
-        valueformat
-            Sets the value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-
-        Returns
-        -------
-        Delta
-        """
-        super(Delta, self).__init__("delta")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.Delta 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.Delta`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator import delta as v_delta
-
-        # Initialize validators
-        # ---------------------
-        self._validators["decreasing"] = v_delta.DecreasingValidator()
-        self._validators["font"] = v_delta.FontValidator()
-        self._validators["increasing"] = v_delta.IncreasingValidator()
-        self._validators["position"] = v_delta.PositionValidator()
-        self._validators["reference"] = v_delta.ReferenceValidator()
-        self._validators["relative"] = v_delta.RelativeValidator()
-        self._validators["valueformat"] = v_delta.ValueformatValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("decreasing", None)
-        self["decreasing"] = decreasing if decreasing is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("increasing", None)
-        self["increasing"] = increasing if increasing is not None else _v
-        _v = arg.pop("position", None)
-        self["position"] = position if position is not None else _v
-        _v = arg.pop("reference", None)
-        self["reference"] = reference if reference is not None else _v
-        _v = arg.pop("relative", None)
-        self["relative"] = relative if relative is not None else _v
-        _v = arg.pop("valueformat", None)
-        self["valueformat"] = valueformat if valueformat is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Delta",
-    "Domain",
-    "Gauge",
-    "Number",
-    "Stream",
-    "Title",
-    "delta",
-    "gauge",
-    "number",
-    "title",
-]
-
-from plotly.graph_objs.indicator import title
-from plotly.graph_objs.indicator import number
-from plotly.graph_objs.indicator import gauge
-from plotly.graph_objs.indicator import delta
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._stream import Stream
+    from ._number import Number
+    from ._gauge import Gauge
+    from ._domain import Domain
+    from ._delta import Delta
+    from . import title
+    from . import number
+    from . import gauge
+    from . import delta
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title", ".number", ".gauge", ".delta"],
+        [
+            "._title.Title",
+            "._stream.Stream",
+            "._number.Number",
+            "._gauge.Gauge",
+            "._domain.Domain",
+            "._delta.Delta",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/_delta.py b/packages/python/plotly/plotly/graph_objs/indicator/_delta.py
new file mode 100644
index 00000000000..1b7063b1e58
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/_delta.py
@@ -0,0 +1,345 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Delta(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator"
+    _path_str = "indicator.delta"
+    _valid_props = {
+        "decreasing",
+        "font",
+        "increasing",
+        "position",
+        "reference",
+        "relative",
+        "valueformat",
+    }
+
+    # decreasing
+    # ----------
+    @property
+    def decreasing(self):
+        """
+        The 'decreasing' property is an instance of Decreasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.delta.Decreasing`
+          - A dict of string/value properties that will be passed
+            to the Decreasing constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color for increasing value.
+                symbol
+                    Sets the symbol to display for increasing value
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.delta.Decreasing
+        """
+        return self["decreasing"]
+
+    @decreasing.setter
+    def decreasing(self, val):
+        self["decreasing"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Set the font used to display the delta
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.delta.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.delta.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # increasing
+    # ----------
+    @property
+    def increasing(self):
+        """
+        The 'increasing' property is an instance of Increasing
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.delta.Increasing`
+          - A dict of string/value properties that will be passed
+            to the Increasing constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color for increasing value.
+                symbol
+                    Sets the symbol to display for increasing value
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.delta.Increasing
+        """
+        return self["increasing"]
+
+    @increasing.setter
+    def increasing(self, val):
+        self["increasing"] = val
+
+    # position
+    # --------
+    @property
+    def position(self):
+        """
+        Sets the position of delta with respect to the number.
+    
+        The 'position' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'bottom', 'left', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["position"]
+
+    @position.setter
+    def position(self, val):
+        self["position"] = val
+
+    # reference
+    # ---------
+    @property
+    def reference(self):
+        """
+        Sets the reference value to compute the delta. By default, it
+        is set to the current value.
+    
+        The 'reference' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["reference"]
+
+    @reference.setter
+    def reference(self, val):
+        self["reference"] = val
+
+    # relative
+    # --------
+    @property
+    def relative(self):
+        """
+        Show relative change
+    
+        The 'relative' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["relative"]
+
+    @relative.setter
+    def relative(self, val):
+        self["relative"] = val
+
+    # valueformat
+    # -----------
+    @property
+    def valueformat(self):
+        """
+        Sets the value formatting rule using d3 formatting mini-
+        language which is similar to those of Python. See
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'valueformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["valueformat"]
+
+    @valueformat.setter
+    def valueformat(self, val):
+        self["valueformat"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        decreasing
+            :class:`plotly.graph_objects.indicator.delta.Decreasing
+            ` instance or dict with compatible properties
+        font
+            Set the font used to display the delta
+        increasing
+            :class:`plotly.graph_objects.indicator.delta.Increasing
+            ` instance or dict with compatible properties
+        position
+            Sets the position of delta with respect to the number.
+        reference
+            Sets the reference value to compute the delta. By
+            default, it is set to the current value.
+        relative
+            Show relative change
+        valueformat
+            Sets the value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        decreasing=None,
+        font=None,
+        increasing=None,
+        position=None,
+        reference=None,
+        relative=None,
+        valueformat=None,
+        **kwargs
+    ):
+        """
+        Construct a new Delta object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.Delta`
+        decreasing
+            :class:`plotly.graph_objects.indicator.delta.Decreasing
+            ` instance or dict with compatible properties
+        font
+            Set the font used to display the delta
+        increasing
+            :class:`plotly.graph_objects.indicator.delta.Increasing
+            ` instance or dict with compatible properties
+        position
+            Sets the position of delta with respect to the number.
+        reference
+            Sets the reference value to compute the delta. By
+            default, it is set to the current value.
+        relative
+            Show relative change
+        valueformat
+            Sets the value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+
+        Returns
+        -------
+        Delta
+        """
+        super(Delta, self).__init__("delta")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.Delta 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.Delta`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("decreasing", None)
+        _v = decreasing if decreasing is not None else _v
+        if _v is not None:
+            self["decreasing"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("increasing", None)
+        _v = increasing if increasing is not None else _v
+        if _v is not None:
+            self["increasing"] = _v
+        _v = arg.pop("position", None)
+        _v = position if position is not None else _v
+        if _v is not None:
+            self["position"] = _v
+        _v = arg.pop("reference", None)
+        _v = reference if reference is not None else _v
+        if _v is not None:
+            self["reference"] = _v
+        _v = arg.pop("relative", None)
+        _v = relative if relative is not None else _v
+        if _v is not None:
+            self["relative"] = _v
+        _v = arg.pop("valueformat", None)
+        _v = valueformat if valueformat is not None else _v
+        if _v is not None:
+            self["valueformat"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/_domain.py b/packages/python/plotly/plotly/graph_objs/indicator/_domain.py
new file mode 100644
index 00000000000..f54d65dce09
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator"
+    _path_str = "indicator.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this indicator trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this indicator trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this indicator trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this indicator trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this indicator trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this indicator trace .
+        x
+            Sets the horizontal domain of this indicator trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this indicator trace (in
+            plot fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this indicator trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this indicator trace .
+        x
+            Sets the horizontal domain of this indicator trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this indicator trace (in
+            plot fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/_gauge.py b/packages/python/plotly/plotly/graph_objs/indicator/_gauge.py
new file mode 100644
index 00000000000..1cc61094808
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/_gauge.py
@@ -0,0 +1,668 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Gauge(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator"
+    _path_str = "indicator.gauge"
+    _valid_props = {
+        "axis",
+        "bar",
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "shape",
+        "stepdefaults",
+        "steps",
+        "threshold",
+    }
+
+    # axis
+    # ----
+    @property
+    def axis(self):
+        """
+        The 'axis' property is an instance of Axis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.Axis`
+          - A dict of string/value properties that will be passed
+            to the Axis constructor
+    
+            Supported dict properties:
+                
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.indicat
+                    or.gauge.axis.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.indicator.gauge.axis.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of
+                    indicator.gauge.axis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.Axis
+        """
+        return self["axis"]
+
+    @axis.setter
+    def axis(self, val):
+        self["axis"] = val
+
+    # bar
+    # ---
+    @property
+    def bar(self):
+        """
+        Set the appearance of the gauge's value
+    
+        The 'bar' property is an instance of Bar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.Bar`
+          - A dict of string/value properties that will be passed
+            to the Bar constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the background color of the arc.
+                line
+                    :class:`plotly.graph_objects.indicator.gauge.ba
+                    r.Line` instance or dict with compatible
+                    properties
+                thickness
+                    Sets the thickness of the bar as a fraction of
+                    the total thickness of the gauge.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.Bar
+        """
+        return self["bar"]
+
+    @bar.setter
+    def bar(self, val):
+        self["bar"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the gauge background color.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the gauge.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the gauge.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Set the shape of the gauge
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['angular', 'bullet']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # steps
+    # -----
+    @property
+    def steps(self):
+        """
+        The 'steps' property is a tuple of instances of
+        Step that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.indicator.gauge.Step
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Step constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the background color of the arc.
+                line
+                    :class:`plotly.graph_objects.indicator.gauge.st
+                    ep.Line` instance or dict with compatible
+                    properties
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                range
+                    Sets the range of this axis.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                thickness
+                    Sets the thickness of the bar as a fraction of
+                    the total thickness of the gauge.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.indicator.gauge.Step]
+        """
+        return self["steps"]
+
+    @steps.setter
+    def steps(self, val):
+        self["steps"] = val
+
+    # stepdefaults
+    # ------------
+    @property
+    def stepdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.indicator.gauge.stepdefaults), sets the
+        default property values to use for elements of
+        indicator.gauge.steps
+    
+        The 'stepdefaults' property is an instance of Step
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.Step`
+          - A dict of string/value properties that will be passed
+            to the Step constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.Step
+        """
+        return self["stepdefaults"]
+
+    @stepdefaults.setter
+    def stepdefaults(self, val):
+        self["stepdefaults"] = val
+
+    # threshold
+    # ---------
+    @property
+    def threshold(self):
+        """
+        The 'threshold' property is an instance of Threshold
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.Threshold`
+          - A dict of string/value properties that will be passed
+            to the Threshold constructor
+    
+            Supported dict properties:
+                
+                line
+                    :class:`plotly.graph_objects.indicator.gauge.th
+                    reshold.Line` instance or dict with compatible
+                    properties
+                thickness
+                    Sets the thickness of the threshold line as a
+                    fraction of the thickness of the gauge.
+                value
+                    Sets a treshold value drawn as a line.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.Threshold
+        """
+        return self["threshold"]
+
+    @threshold.setter
+    def threshold(self, val):
+        self["threshold"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        axis
+            :class:`plotly.graph_objects.indicator.gauge.Axis`
+            instance or dict with compatible properties
+        bar
+            Set the appearance of the gauge's value
+        bgcolor
+            Sets the gauge background color.
+        bordercolor
+            Sets the color of the border enclosing the gauge.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            gauge.
+        shape
+            Set the shape of the gauge
+        steps
+            A tuple of
+            :class:`plotly.graph_objects.indicator.gauge.Step`
+            instances or dicts with compatible properties
+        stepdefaults
+            When used in a template (as
+            layout.template.data.indicator.gauge.stepdefaults),
+            sets the default property values to use for elements of
+            indicator.gauge.steps
+        threshold
+            :class:`plotly.graph_objects.indicator.gauge.Threshold`
+            instance or dict with compatible properties
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        axis=None,
+        bar=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        shape=None,
+        steps=None,
+        stepdefaults=None,
+        threshold=None,
+        **kwargs
+    ):
+        """
+        Construct a new Gauge object
+        
+        The gauge of the Indicator plot.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.Gauge`
+        axis
+            :class:`plotly.graph_objects.indicator.gauge.Axis`
+            instance or dict with compatible properties
+        bar
+            Set the appearance of the gauge's value
+        bgcolor
+            Sets the gauge background color.
+        bordercolor
+            Sets the color of the border enclosing the gauge.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            gauge.
+        shape
+            Set the shape of the gauge
+        steps
+            A tuple of
+            :class:`plotly.graph_objects.indicator.gauge.Step`
+            instances or dicts with compatible properties
+        stepdefaults
+            When used in a template (as
+            layout.template.data.indicator.gauge.stepdefaults),
+            sets the default property values to use for elements of
+            indicator.gauge.steps
+        threshold
+            :class:`plotly.graph_objects.indicator.gauge.Threshold`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Gauge
+        """
+        super(Gauge, self).__init__("gauge")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.Gauge 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.Gauge`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("axis", None)
+        _v = axis if axis is not None else _v
+        if _v is not None:
+            self["axis"] = _v
+        _v = arg.pop("bar", None)
+        _v = bar if bar is not None else _v
+        if _v is not None:
+            self["bar"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("steps", None)
+        _v = steps if steps is not None else _v
+        if _v is not None:
+            self["steps"] = _v
+        _v = arg.pop("stepdefaults", None)
+        _v = stepdefaults if stepdefaults is not None else _v
+        if _v is not None:
+            self["stepdefaults"] = _v
+        _v = arg.pop("threshold", None)
+        _v = threshold if threshold is not None else _v
+        if _v is not None:
+            self["threshold"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/_number.py b/packages/python/plotly/plotly/graph_objs/indicator/_number.py
new file mode 100644
index 00000000000..d3567c5ef22
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/_number.py
@@ -0,0 +1,222 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Number(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator"
+    _path_str = "indicator.number"
+    _valid_props = {"font", "prefix", "suffix", "valueformat"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Set the font used to display main number
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.number.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.number.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # prefix
+    # ------
+    @property
+    def prefix(self):
+        """
+        Sets a prefix appearing before the number.
+    
+        The 'prefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["prefix"]
+
+    @prefix.setter
+    def prefix(self, val):
+        self["prefix"] = val
+
+    # suffix
+    # ------
+    @property
+    def suffix(self):
+        """
+        Sets a suffix appearing next to the number.
+    
+        The 'suffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["suffix"]
+
+    @suffix.setter
+    def suffix(self, val):
+        self["suffix"] = val
+
+    # valueformat
+    # -----------
+    @property
+    def valueformat(self):
+        """
+        Sets the value formatting rule using d3 formatting mini-
+        language which is similar to those of Python. See
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'valueformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["valueformat"]
+
+    @valueformat.setter
+    def valueformat(self, val):
+        self["valueformat"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Set the font used to display main number
+        prefix
+            Sets a prefix appearing before the number.
+        suffix
+            Sets a suffix appearing next to the number.
+        valueformat
+            Sets the value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        """
+
+    def __init__(
+        self, arg=None, font=None, prefix=None, suffix=None, valueformat=None, **kwargs
+    ):
+        """
+        Construct a new Number object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.Number`
+        font
+            Set the font used to display main number
+        prefix
+            Sets a prefix appearing before the number.
+        suffix
+            Sets a suffix appearing next to the number.
+        valueformat
+            Sets the value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+
+        Returns
+        -------
+        Number
+        """
+        super(Number, self).__init__("number")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.Number 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.Number`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("prefix", None)
+        _v = prefix if prefix is not None else _v
+        if _v is not None:
+            self["prefix"] = _v
+        _v = arg.pop("suffix", None)
+        _v = suffix if suffix is not None else _v
+        if _v is not None:
+            self["suffix"] = _v
+        _v = arg.pop("valueformat", None)
+        _v = valueformat if valueformat is not None else _v
+        if _v is not None:
+            self["valueformat"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/_stream.py b/packages/python/plotly/plotly/graph_objs/indicator/_stream.py
new file mode 100644
index 00000000000..92f9b269cdd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator"
+    _path_str = "indicator.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/_title.py b/packages/python/plotly/plotly/graph_objs/indicator/_title.py
new file mode 100644
index 00000000000..9e545bfe282
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/_title.py
@@ -0,0 +1,188 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator"
+    _path_str = "indicator.title"
+    _valid_props = {"align", "font", "text"}
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the title. It defaults to
+        `center` except for bullet charts for which it defaults to
+        right.
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Set the font used to display the title
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this indicator.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the title. It defaults
+            to `center` except for bullet charts for which it
+            defaults to right.
+        font
+            Set the font used to display the title
+        text
+            Sets the title of this indicator.
+        """
+
+    def __init__(self, arg=None, align=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.Title`
+        align
+            Sets the horizontal alignment of the title. It defaults
+            to `center` except for bullet charts for which it
+            defaults to right.
+        font
+            Set the font used to display the title
+        text
+            Sets the title of this indicator.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/delta/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/delta/__init__.py
index 056a991fba8..aecec3cf369 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/delta/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/delta/__init__.py
@@ -1,567 +1,14 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Increasing(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color for increasing value.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the symbol to display for increasing value
-    
-        The 'symbol' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.delta"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color for increasing value.
-        symbol
-            Sets the symbol to display for increasing value
-        """
-
-    def __init__(self, arg=None, color=None, symbol=None, **kwargs):
-        """
-        Construct a new Increasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.delta.Increasing`
-        color
-            Sets the color for increasing value.
-        symbol
-            Sets the symbol to display for increasing value
-
-        Returns
-        -------
-        Increasing
-        """
-        super(Increasing, self).__init__("increasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.delta.Increasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.delta.Increasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.delta import increasing as v_increasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_increasing.ColorValidator()
-        self._validators["symbol"] = v_increasing.SymbolValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.delta"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Set the font used to display the delta
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.delta.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.delta.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.delta.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.delta import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Decreasing(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color for increasing value.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the symbol to display for increasing value
-    
-        The 'symbol' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.delta"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color for increasing value.
-        symbol
-            Sets the symbol to display for increasing value
-        """
-
-    def __init__(self, arg=None, color=None, symbol=None, **kwargs):
-        """
-        Construct a new Decreasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.delta.Decreasing`
-        color
-            Sets the color for increasing value.
-        symbol
-            Sets the symbol to display for increasing value
-
-        Returns
-        -------
-        Decreasing
-        """
-        super(Decreasing, self).__init__("decreasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.delta.Decreasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.delta.Decreasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.delta import decreasing as v_decreasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_decreasing.ColorValidator()
-        self._validators["symbol"] = v_decreasing.SymbolValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Decreasing", "Font", "Increasing"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._increasing import Increasing
+    from ._font import Font
+    from ._decreasing import Decreasing
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._increasing.Increasing", "._font.Font", "._decreasing.Decreasing"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/delta/_decreasing.py b/packages/python/plotly/plotly/graph_objs/indicator/delta/_decreasing.py
new file mode 100644
index 00000000000..6d9def08259
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/delta/_decreasing.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Decreasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.delta"
+    _path_str = "indicator.delta.decreasing"
+    _valid_props = {"color", "symbol"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color for increasing value.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the symbol to display for increasing value
+    
+        The 'symbol' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color for increasing value.
+        symbol
+            Sets the symbol to display for increasing value
+        """
+
+    def __init__(self, arg=None, color=None, symbol=None, **kwargs):
+        """
+        Construct a new Decreasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.delta.Decreasing`
+        color
+            Sets the color for increasing value.
+        symbol
+            Sets the symbol to display for increasing value
+
+        Returns
+        -------
+        Decreasing
+        """
+        super(Decreasing, self).__init__("decreasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.delta.Decreasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.delta.Decreasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/delta/_font.py b/packages/python/plotly/plotly/graph_objs/indicator/delta/_font.py
new file mode 100644
index 00000000000..367f9367ca9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/delta/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.delta"
+    _path_str = "indicator.delta.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Set the font used to display the delta
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.delta.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.delta.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.delta.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/delta/_increasing.py b/packages/python/plotly/plotly/graph_objs/indicator/delta/_increasing.py
new file mode 100644
index 00000000000..8ee8a02dc77
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/delta/_increasing.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Increasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.delta"
+    _path_str = "indicator.delta.increasing"
+    _valid_props = {"color", "symbol"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color for increasing value.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the symbol to display for increasing value
+    
+        The 'symbol' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color for increasing value.
+        symbol
+            Sets the symbol to display for increasing value
+        """
+
+    def __init__(self, arg=None, color=None, symbol=None, **kwargs):
+        """
+        Construct a new Increasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.delta.Increasing`
+        color
+            Sets the color for increasing value.
+        symbol
+            Sets the symbol to display for increasing value
+
+        Returns
+        -------
+        Increasing
+        """
+        super(Increasing, self).__init__("increasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.delta.Increasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.delta.Increasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/__init__.py
index 4cb0d4cee1a..9060f4e7147 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/gauge/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/__init__.py
@@ -1,1935 +1,19 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Threshold(_BaseTraceHierarchyType):
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the threshold line.
-                width
-                    Sets the width (in px) of the threshold line.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.threshold.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the threshold line as a fraction of the
-        thickness of the gauge.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets a treshold value drawn as a line.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        line
-            :class:`plotly.graph_objects.indicator.gauge.threshold.
-            Line` instance or dict with compatible properties
-        thickness
-            Sets the thickness of the threshold line as a fraction
-            of the thickness of the gauge.
-        value
-            Sets a treshold value drawn as a line.
-        """
-
-    def __init__(self, arg=None, line=None, thickness=None, value=None, **kwargs):
-        """
-        Construct a new Threshold object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.gauge.Threshold`
-        line
-            :class:`plotly.graph_objects.indicator.gauge.threshold.
-            Line` instance or dict with compatible properties
-        thickness
-            Sets the thickness of the threshold line as a fraction
-            of the thickness of the gauge.
-        value
-            Sets a treshold value drawn as a line.
-
-        Returns
-        -------
-        Threshold
-        """
-        super(Threshold, self).__init__("threshold")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.Threshold 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.Threshold`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge import threshold as v_threshold
-
-        # Initialize validators
-        # ---------------------
-        self._validators["line"] = v_threshold.LineValidator()
-        self._validators["thickness"] = v_threshold.ThicknessValidator()
-        self._validators["value"] = v_threshold.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Step(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the background color of the arc.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.step.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the line enclosing each
-                    sector.
-                width
-                    Sets the width (in px) of the line enclosing
-                    each sector.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.step.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the bar as a fraction of the total
-        thickness of the gauge.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the background color of the arc.
-        line
-            :class:`plotly.graph_objects.indicator.gauge.step.Line`
-            instance or dict with compatible properties
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        range
-            Sets the range of this axis.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        thickness
-            Sets the thickness of the bar as a fraction of the
-            total thickness of the gauge.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        line=None,
-        name=None,
-        range=None,
-        templateitemname=None,
-        thickness=None,
-        **kwargs
-    ):
-        """
-        Construct a new Step object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.gauge.Step`
-        color
-            Sets the background color of the arc.
-        line
-            :class:`plotly.graph_objects.indicator.gauge.step.Line`
-            instance or dict with compatible properties
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        range
-            Sets the range of this axis.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        thickness
-            Sets the thickness of the bar as a fraction of the
-            total thickness of the gauge.
-
-        Returns
-        -------
-        Step
-        """
-        super(Step, self).__init__("steps")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.Step 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.Step`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge import step as v_step
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_step.ColorValidator()
-        self._validators["line"] = v_step.LineValidator()
-        self._validators["name"] = v_step.NameValidator()
-        self._validators["range"] = v_step.RangeValidator()
-        self._validators["templateitemname"] = v_step.TemplateitemnameValidator()
-        self._validators["thickness"] = v_step.ThicknessValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Bar(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the background color of the arc.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.bar.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the line enclosing each
-                    sector.
-                width
-                    Sets the width (in px) of the line enclosing
-                    each sector.
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.bar.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the bar as a fraction of the total
-        thickness of the gauge.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the background color of the arc.
-        line
-            :class:`plotly.graph_objects.indicator.gauge.bar.Line`
-            instance or dict with compatible properties
-        thickness
-            Sets the thickness of the bar as a fraction of the
-            total thickness of the gauge.
-        """
-
-    def __init__(self, arg=None, color=None, line=None, thickness=None, **kwargs):
-        """
-        Construct a new Bar object
-        
-        Set the appearance of the gauge's value
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.gauge.Bar`
-        color
-            Sets the background color of the arc.
-        line
-            :class:`plotly.graph_objects.indicator.gauge.bar.Line`
-            instance or dict with compatible properties
-        thickness
-            Sets the thickness of the bar as a fraction of the
-            total thickness of the gauge.
-
-        Returns
-        -------
-        Bar
-        """
-        super(Bar, self).__init__("bar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.Bar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.Bar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge import bar as v_bar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_bar.ColorValidator()
-        self._validators["line"] = v_bar.LineValidator()
-        self._validators["thickness"] = v_bar.ThicknessValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Axis(_BaseTraceHierarchyType):
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.axis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.indicator.gauge.axis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.indicator.gauge.axis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.indicator.gaug
-        e.axis.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        indicator.gauge.axis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.indicator.gauge.axis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.indicator.gauge
-            .axis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.indica
-            tor.gauge.axis.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            indicator.gauge.axis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtick=None,
-        exponentformat=None,
-        nticks=None,
-        range=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Axis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.gauge.Axis`
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.indicator.gauge
-            .axis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.indica
-            tor.gauge.axis.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            indicator.gauge.axis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-
-        Returns
-        -------
-        Axis
-        """
-        super(Axis, self).__init__("axis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.Axis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.Axis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge import axis as v_axis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtick"] = v_axis.DtickValidator()
-        self._validators["exponentformat"] = v_axis.ExponentformatValidator()
-        self._validators["nticks"] = v_axis.NticksValidator()
-        self._validators["range"] = v_axis.RangeValidator()
-        self._validators["separatethousands"] = v_axis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_axis.ShowexponentValidator()
-        self._validators["showticklabels"] = v_axis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_axis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_axis.ShowticksuffixValidator()
-        self._validators["tick0"] = v_axis.Tick0Validator()
-        self._validators["tickangle"] = v_axis.TickangleValidator()
-        self._validators["tickcolor"] = v_axis.TickcolorValidator()
-        self._validators["tickfont"] = v_axis.TickfontValidator()
-        self._validators["tickformat"] = v_axis.TickformatValidator()
-        self._validators["tickformatstops"] = v_axis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_axis.TickformatstopValidator()
-        self._validators["ticklen"] = v_axis.TicklenValidator()
-        self._validators["tickmode"] = v_axis.TickmodeValidator()
-        self._validators["tickprefix"] = v_axis.TickprefixValidator()
-        self._validators["ticks"] = v_axis.TicksValidator()
-        self._validators["ticksuffix"] = v_axis.TicksuffixValidator()
-        self._validators["ticktext"] = v_axis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_axis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_axis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_axis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_axis.TickwidthValidator()
-        self._validators["visible"] = v_axis.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Axis",
-    "Bar",
-    "Step",
-    "Step",
-    "Threshold",
-    "axis",
-    "bar",
-    "step",
-    "threshold",
-]
-
-from plotly.graph_objs.indicator.gauge import threshold
-from plotly.graph_objs.indicator.gauge import step
-from plotly.graph_objs.indicator.gauge import bar
-from plotly.graph_objs.indicator.gauge import axis
+import sys
+
+if sys.version_info < (3, 7):
+    from ._threshold import Threshold
+    from ._step import Step
+    from ._bar import Bar
+    from ._axis import Axis
+    from . import threshold
+    from . import step
+    from . import bar
+    from . import axis
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".threshold", ".step", ".bar", ".axis"],
+        ["._threshold.Threshold", "._step.Step", "._bar.Bar", "._axis.Axis"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/_axis.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_axis.py
new file mode 100644
index 00000000000..6b77f3d54e5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_axis.py
@@ -0,0 +1,1231 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Axis(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge"
+    _path_str = "indicator.gauge.axis"
+    _valid_props = {
+        "dtick",
+        "exponentformat",
+        "nticks",
+        "range",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "visible",
+    }
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.axis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.indicator.gauge.axis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.indicator.gauge.axis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.indicator.gaug
+        e.axis.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        indicator.gauge.axis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.axis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.indicator.gauge
+            .axis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.indica
+            tor.gauge.axis.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            indicator.gauge.axis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtick=None,
+        exponentformat=None,
+        nticks=None,
+        range=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Axis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.gauge.Axis`
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.indicator.gauge
+            .axis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.indica
+            tor.gauge.axis.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            indicator.gauge.axis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+
+        Returns
+        -------
+        Axis
+        """
+        super(Axis, self).__init__("axis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.Axis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.Axis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/_bar.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_bar.py
new file mode 100644
index 00000000000..0970afd48e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_bar.py
@@ -0,0 +1,210 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Bar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge"
+    _path_str = "indicator.gauge.bar"
+    _valid_props = {"color", "line", "thickness"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the background color of the arc.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.bar.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the line enclosing each
+                    sector.
+                width
+                    Sets the width (in px) of the line enclosing
+                    each sector.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.bar.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the bar as a fraction of the total
+        thickness of the gauge.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the background color of the arc.
+        line
+            :class:`plotly.graph_objects.indicator.gauge.bar.Line`
+            instance or dict with compatible properties
+        thickness
+            Sets the thickness of the bar as a fraction of the
+            total thickness of the gauge.
+        """
+
+    def __init__(self, arg=None, color=None, line=None, thickness=None, **kwargs):
+        """
+        Construct a new Bar object
+        
+        Set the appearance of the gauge's value
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.gauge.Bar`
+        color
+            Sets the background color of the arc.
+        line
+            :class:`plotly.graph_objects.indicator.gauge.bar.Line`
+            instance or dict with compatible properties
+        thickness
+            Sets the thickness of the bar as a fraction of the
+            total thickness of the gauge.
+
+        Returns
+        -------
+        Bar
+        """
+        super(Bar, self).__init__("bar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.Bar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.Bar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/_step.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_step.py
new file mode 100644
index 00000000000..964174b44e7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_step.py
@@ -0,0 +1,352 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Step(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge"
+    _path_str = "indicator.gauge.step"
+    _valid_props = {"color", "line", "name", "range", "templateitemname", "thickness"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the background color of the arc.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.step.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the line enclosing each
+                    sector.
+                width
+                    Sets the width (in px) of the line enclosing
+                    each sector.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.step.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the bar as a fraction of the total
+        thickness of the gauge.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the background color of the arc.
+        line
+            :class:`plotly.graph_objects.indicator.gauge.step.Line`
+            instance or dict with compatible properties
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        range
+            Sets the range of this axis.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        thickness
+            Sets the thickness of the bar as a fraction of the
+            total thickness of the gauge.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        line=None,
+        name=None,
+        range=None,
+        templateitemname=None,
+        thickness=None,
+        **kwargs
+    ):
+        """
+        Construct a new Step object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.gauge.Step`
+        color
+            Sets the background color of the arc.
+        line
+            :class:`plotly.graph_objects.indicator.gauge.step.Line`
+            instance or dict with compatible properties
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        range
+            Sets the range of this axis.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        thickness
+            Sets the thickness of the bar as a fraction of the
+            total thickness of the gauge.
+
+        Returns
+        -------
+        Step
+        """
+        super(Step, self).__init__("steps")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.Step 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.Step`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/_threshold.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_threshold.py
new file mode 100644
index 00000000000..992b196b97d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/_threshold.py
@@ -0,0 +1,167 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Threshold(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge"
+    _path_str = "indicator.gauge.threshold"
+    _valid_props = {"line", "thickness", "value"}
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the threshold line.
+                width
+                    Sets the width (in px) of the threshold line.
+
+        Returns
+        -------
+        plotly.graph_objs.indicator.gauge.threshold.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the threshold line as a fraction of the
+        thickness of the gauge.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets a treshold value drawn as a line.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        line
+            :class:`plotly.graph_objects.indicator.gauge.threshold.
+            Line` instance or dict with compatible properties
+        thickness
+            Sets the thickness of the threshold line as a fraction
+            of the thickness of the gauge.
+        value
+            Sets a treshold value drawn as a line.
+        """
+
+    def __init__(self, arg=None, line=None, thickness=None, value=None, **kwargs):
+        """
+        Construct a new Threshold object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.gauge.Threshold`
+        line
+            :class:`plotly.graph_objects.indicator.gauge.threshold.
+            Line` instance or dict with compatible properties
+        thickness
+            Sets the thickness of the threshold line as a fraction
+            of the thickness of the gauge.
+        value
+            Sets a treshold value drawn as a line.
+
+        Returns
+        -------
+        Threshold
+        """
+        super(Threshold, self).__init__("threshold")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.Threshold 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.Threshold`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/__init__.py
index ede5f604a1b..f1d16bcb76a 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/__init__.py
@@ -1,517 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge.axis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.indicator.gaug
-            e.axis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.axis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge.axis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge.axis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.indicator.gaug
-            e.axis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.axis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge.axis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._tickformatstop.Tickformatstop", "._tickfont.Tickfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/_tickfont.py
new file mode 100644
index 00000000000..6d56a1581e8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge.axis"
+    _path_str = "indicator.gauge.axis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.indicator.gaug
+            e.axis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.axis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/_tickformatstop.py
new file mode 100644
index 00000000000..32b89d121a4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/axis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge.axis"
+    _path_str = "indicator.gauge.axis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.indicator.gaug
+            e.axis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.axis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.axis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/__init__.py
index 1aa91828401..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/__init__.py
@@ -1,171 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the line enclosing each sector.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the line enclosing each sector.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge.bar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the line enclosing each sector.
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.gauge.bar.Line`
-        color
-            Sets the color of the line enclosing each sector.
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.bar.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.bar.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge.bar import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/_line.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/_line.py
new file mode 100644
index 00000000000..cc0260c4d12
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/bar/_line.py
@@ -0,0 +1,167 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge.bar"
+    _path_str = "indicator.gauge.bar.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the line enclosing each sector.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the line enclosing each sector.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the line enclosing each sector.
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.gauge.bar.Line`
+        color
+            Sets the color of the line enclosing each sector.
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.bar.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.bar.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/__init__.py
index dbc901aea8a..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/__init__.py
@@ -1,171 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the line enclosing each sector.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the line enclosing each sector.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge.step"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the line enclosing each sector.
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.gauge.step.Line`
-        color
-            Sets the color of the line enclosing each sector.
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.step.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.step.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge.step import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/_line.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/_line.py
new file mode 100644
index 00000000000..fddd1f52c02
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/step/_line.py
@@ -0,0 +1,167 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge.step"
+    _path_str = "indicator.gauge.step.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the line enclosing each sector.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the line enclosing each sector.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the line enclosing each sector.
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.gauge.step.Line`
+        color
+            Sets the color of the line enclosing each sector.
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.step.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.step.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/__init__.py
index bc8e9d10de2..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/__init__.py
@@ -1,169 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the threshold line.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the threshold line.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.gauge.threshold"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the threshold line.
-        width
-            Sets the width (in px) of the threshold line.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.indicator.gaug
-            e.threshold.Line`
-        color
-            Sets the color of the threshold line.
-        width
-            Sets the width (in px) of the threshold line.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.gauge.threshold.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.gauge.threshold import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/_line.py b/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/_line.py
new file mode 100644
index 00000000000..fb78e262dbb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/gauge/threshold/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.gauge.threshold"
+    _path_str = "indicator.gauge.threshold.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the threshold line.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the threshold line.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the threshold line.
+        width
+            Sets the width (in px) of the threshold line.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.indicator.gaug
+            e.threshold.Line`
+        color
+            Sets the color of the threshold line.
+        width
+            Sets the width (in px) of the threshold line.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.gauge.threshold.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/number/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/number/__init__.py
index fbddaabe064..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/number/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/number/__init__.py
@@ -1,229 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.number"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Set the font used to display main number
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.number.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.number.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.number.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.number import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/number/_font.py b/packages/python/plotly/plotly/graph_objs/indicator/number/_font.py
new file mode 100644
index 00000000000..cd090394663
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/number/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.number"
+    _path_str = "indicator.number.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Set the font used to display main number
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.number.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.number.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.number.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/title/__init__.py b/packages/python/plotly/plotly/graph_objs/indicator/title/__init__.py
index a0322be7b0d..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/indicator/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/indicator/title/__init__.py
@@ -1,229 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "indicator.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Set the font used to display the title
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.indicator.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.indicator.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.indicator.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.indicator.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/indicator/title/_font.py b/packages/python/plotly/plotly/graph_objs/indicator/title/_font.py
new file mode 100644
index 00000000000..4ed521d52b5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/indicator/title/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "indicator.title"
+    _path_str = "indicator.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Set the font used to display the title
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.indicator.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.indicator.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.indicator.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/__init__.py b/packages/python/plotly/plotly/graph_objs/isosurface/__init__.py
index c8cf2866416..b2acee2453c 100644
--- a/packages/python/plotly/plotly/graph_objs/isosurface/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/__init__.py
@@ -1,4005 +1,36 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Surface(_BaseTraceHierarchyType):
-
-    # count
-    # -----
-    @property
-    def count(self):
-        """
-        Sets the number of iso-surfaces between minimum and maximum
-        iso-values. By default this value is 2 meaning that only
-        minimum and maximum surfaces would be drawn.
-    
-        The 'count' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["count"]
-
-    @count.setter
-    def count(self, val):
-        self["count"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the iso-surface. The default fill value
-        of the surface is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # pattern
-    # -------
-    @property
-    def pattern(self):
-        """
-        Sets the surface pattern of the iso-surface 3-D sections. The
-        default pattern of the surface is `all` meaning that the rest
-        of surface elements would be shaded. The check options (either
-        1 or 2) could be used to draw half of the squares on the
-        surface. Using various combinations of capital `A`, `B`, `C`,
-        `D` and `E` may also be used to reduce the number of triangles
-        on the iso-surfaces and creating other patterns of interest.
-    
-        The 'pattern' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['A', 'B', 'C', 'D', 'E'] joined with '+' characters
-            (e.g. 'A+B')
-            OR exactly one of ['all', 'odd', 'even'] (e.g. 'even')
-
-        Returns
-        -------
-        Any
-        """
-        return self["pattern"]
-
-    @pattern.setter
-    def pattern(self, val):
-        self["pattern"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Hides/displays surfaces between minimum and maximum iso-values.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        count
-            Sets the number of iso-surfaces between minimum and
-            maximum iso-values. By default this value is 2 meaning
-            that only minimum and maximum surfaces would be drawn.
-        fill
-            Sets the fill ratio of the iso-surface. The default
-            fill value of the surface is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        pattern
-            Sets the surface pattern of the iso-surface 3-D
-            sections. The default pattern of the surface is `all`
-            meaning that the rest of surface elements would be
-            shaded. The check options (either 1 or 2) could be used
-            to draw half of the squares on the surface. Using
-            various combinations of capital `A`, `B`, `C`, `D` and
-            `E` may also be used to reduce the number of triangles
-            on the iso-surfaces and creating other patterns of
-            interest.
-        show
-            Hides/displays surfaces between minimum and maximum
-            iso-values.
-        """
-
-    def __init__(
-        self, arg=None, count=None, fill=None, pattern=None, show=None, **kwargs
-    ):
-        """
-        Construct a new Surface object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Surface`
-        count
-            Sets the number of iso-surfaces between minimum and
-            maximum iso-values. By default this value is 2 meaning
-            that only minimum and maximum surfaces would be drawn.
-        fill
-            Sets the fill ratio of the iso-surface. The default
-            fill value of the surface is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        pattern
-            Sets the surface pattern of the iso-surface 3-D
-            sections. The default pattern of the surface is `all`
-            meaning that the rest of surface elements would be
-            shaded. The check options (either 1 or 2) could be used
-            to draw half of the squares on the surface. Using
-            various combinations of capital `A`, `B`, `C`, `D` and
-            `E` may also be used to reduce the number of triangles
-            on the iso-surfaces and creating other patterns of
-            interest.
-        show
-            Hides/displays surfaces between minimum and maximum
-            iso-values.
-
-        Returns
-        -------
-        Surface
-        """
-        super(Surface, self).__init__("surface")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Surface 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Surface`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import surface as v_surface
-
-        # Initialize validators
-        # ---------------------
-        self._validators["count"] = v_surface.CountValidator()
-        self._validators["fill"] = v_surface.FillValidator()
-        self._validators["pattern"] = v_surface.PatternValidator()
-        self._validators["show"] = v_surface.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("count", None)
-        self["count"] = count if count is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("pattern", None)
-        self["pattern"] = pattern if pattern is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Spaceframe(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `spaceframe` elements. The default
-        fill value is 0.15 meaning that only 15% of the area of every
-        faces of tetras would be shaded. Applying a greater `fill`
-        ratio would allow the creation of stronger elements or could be
-        sued to have entirely closed areas (in case of using 1).
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Displays/hides tetrahedron shapes between minimum and maximum
-        iso-values. Often useful when either caps or surfaces are
-        disabled or filled with values less than 1.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `spaceframe` elements. The
-            default fill value is 0.15 meaning that only 15% of the
-            area of every faces of tetras would be shaded. Applying
-            a greater `fill` ratio would allow the creation of
-            stronger elements or could be sued to have entirely
-            closed areas (in case of using 1).
-        show
-            Displays/hides tetrahedron shapes between minimum and
-            maximum iso-values. Often useful when either caps or
-            surfaces are disabled or filled with values less than
-            1.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new Spaceframe object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Spaceframe`
-        fill
-            Sets the fill ratio of the `spaceframe` elements. The
-            default fill value is 0.15 meaning that only 15% of the
-            area of every faces of tetras would be shaded. Applying
-            a greater `fill` ratio would allow the creation of
-            stronger elements or could be sued to have entirely
-            closed areas (in case of using 1).
-        show
-            Displays/hides tetrahedron shapes between minimum and
-            maximum iso-values. Often useful when either caps or
-            surfaces are disabled or filled with values less than
-            1.
-
-        Returns
-        -------
-        Spaceframe
-        """
-        super(Spaceframe, self).__init__("spaceframe")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Spaceframe 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Spaceframe`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import spaceframe as v_spaceframe
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_spaceframe.FillValidator()
-        self._validators["show"] = v_spaceframe.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Slices(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is an instance of X
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.slices.X`
-          - A dict of string/value properties that will be passed
-            to the X constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the `slices` is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                locations
-                    Specifies the location(s) of slices on the
-                    axis. When not specified slices would be
-                    created for all points of the axis x except
-                    start and end.
-                locationssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  locations .
-                show
-                    Determines whether or not slice planes about
-                    the x dimension are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.slices.X
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is an instance of Y
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.slices.Y`
-          - A dict of string/value properties that will be passed
-            to the Y constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the `slices` is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                locations
-                    Specifies the location(s) of slices on the
-                    axis. When not specified slices would be
-                    created for all points of the axis y except
-                    start and end.
-                locationssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  locations .
-                show
-                    Determines whether or not slice planes about
-                    the y dimension are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.slices.Y
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is an instance of Z
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.slices.Z`
-          - A dict of string/value properties that will be passed
-            to the Z constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the `slices` is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                locations
-                    Specifies the location(s) of slices on the
-                    axis. When not specified slices would be
-                    created for all points of the axis z except
-                    start and end.
-                locationssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  locations .
-                show
-                    Determines whether or not slice planes about
-                    the z dimension are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.slices.Z
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            :class:`plotly.graph_objects.isosurface.slices.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.isosurface.slices.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.isosurface.slices.Z`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Slices object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Slices`
-        x
-            :class:`plotly.graph_objects.isosurface.slices.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.isosurface.slices.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.isosurface.slices.Z`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Slices
-        """
-        super(Slices, self).__init__("slices")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Slices 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Slices`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import slices as v_slices
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_slices.XValidator()
-        self._validators["y"] = v_slices.YValidator()
-        self._validators["z"] = v_slices.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lightposition(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Numeric vector, representing the X coordinate for each vertex.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Numeric vector, representing the Y coordinate for each vertex.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Numeric vector, representing the Z coordinate for each vertex.
-    
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Lightposition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Lightposition`
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-
-        Returns
-        -------
-        Lightposition
-        """
-        super(Lightposition, self).__init__("lightposition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Lightposition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Lightposition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import lightposition as v_lightposition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_lightposition.XValidator()
-        self._validators["y"] = v_lightposition.YValidator()
-        self._validators["z"] = v_lightposition.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lighting(_BaseTraceHierarchyType):
-
-    # ambient
-    # -------
-    @property
-    def ambient(self):
-        """
-        Ambient light increases overall color visibility but can wash
-        out the image.
-    
-        The 'ambient' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ambient"]
-
-    @ambient.setter
-    def ambient(self, val):
-        self["ambient"] = val
-
-    # diffuse
-    # -------
-    @property
-    def diffuse(self):
-        """
-        Represents the extent that incident rays are reflected in a
-        range of angles.
-    
-        The 'diffuse' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["diffuse"]
-
-    @diffuse.setter
-    def diffuse(self, val):
-        self["diffuse"] = val
-
-    # facenormalsepsilon
-    # ------------------
-    @property
-    def facenormalsepsilon(self):
-        """
-        Epsilon for face normals calculation avoids math issues arising
-        from degenerate geometry.
-    
-        The 'facenormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["facenormalsepsilon"]
-
-    @facenormalsepsilon.setter
-    def facenormalsepsilon(self, val):
-        self["facenormalsepsilon"] = val
-
-    # fresnel
-    # -------
-    @property
-    def fresnel(self):
-        """
-        Represents the reflectance as a dependency of the viewing
-        angle; e.g. paper is reflective when viewing it from the edge
-        of the paper (almost 90 degrees), causing shine.
-    
-        The 'fresnel' property is a number and may be specified as:
-          - An int or float in the interval [0, 5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fresnel"]
-
-    @fresnel.setter
-    def fresnel(self, val):
-        self["fresnel"] = val
-
-    # roughness
-    # ---------
-    @property
-    def roughness(self):
-        """
-        Alters specular reflection; the rougher the surface, the wider
-        and less contrasty the shine.
-    
-        The 'roughness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roughness"]
-
-    @roughness.setter
-    def roughness(self, val):
-        self["roughness"] = val
-
-    # specular
-    # --------
-    @property
-    def specular(self):
-        """
-        Represents the level that incident rays are reflected in a
-        single direction, causing shine.
-    
-        The 'specular' property is a number and may be specified as:
-          - An int or float in the interval [0, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["specular"]
-
-    @specular.setter
-    def specular(self, val):
-        self["specular"] = val
-
-    # vertexnormalsepsilon
-    # --------------------
-    @property
-    def vertexnormalsepsilon(self):
-        """
-        Epsilon for vertex normals calculation avoids math issues
-        arising from degenerate geometry.
-    
-        The 'vertexnormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["vertexnormalsepsilon"]
-
-    @vertexnormalsepsilon.setter
-    def vertexnormalsepsilon(self, val):
-        self["vertexnormalsepsilon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        ambient=None,
-        diffuse=None,
-        facenormalsepsilon=None,
-        fresnel=None,
-        roughness=None,
-        specular=None,
-        vertexnormalsepsilon=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lighting object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Lighting`
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-
-        Returns
-        -------
-        Lighting
-        """
-        super(Lighting, self).__init__("lighting")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Lighting 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Lighting`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import lighting as v_lighting
-
-        # Initialize validators
-        # ---------------------
-        self._validators["ambient"] = v_lighting.AmbientValidator()
-        self._validators["diffuse"] = v_lighting.DiffuseValidator()
-        self._validators[
-            "facenormalsepsilon"
-        ] = v_lighting.FacenormalsepsilonValidator()
-        self._validators["fresnel"] = v_lighting.FresnelValidator()
-        self._validators["roughness"] = v_lighting.RoughnessValidator()
-        self._validators["specular"] = v_lighting.SpecularValidator()
-        self._validators[
-            "vertexnormalsepsilon"
-        ] = v_lighting.VertexnormalsepsilonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("ambient", None)
-        self["ambient"] = ambient if ambient is not None else _v
-        _v = arg.pop("diffuse", None)
-        self["diffuse"] = diffuse if diffuse is not None else _v
-        _v = arg.pop("facenormalsepsilon", None)
-        self["facenormalsepsilon"] = (
-            facenormalsepsilon if facenormalsepsilon is not None else _v
-        )
-        _v = arg.pop("fresnel", None)
-        self["fresnel"] = fresnel if fresnel is not None else _v
-        _v = arg.pop("roughness", None)
-        self["roughness"] = roughness if roughness is not None else _v
-        _v = arg.pop("specular", None)
-        self["specular"] = specular if specular is not None else _v
-        _v = arg.pop("vertexnormalsepsilon", None)
-        self["vertexnormalsepsilon"] = (
-            vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
-        )
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contour(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour lines.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets whether or not dynamic contours are shown on hover
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the contour lines.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour lines.
-        show
-            Sets whether or not dynamic contours are shown on hover
-        width
-            Sets the width of the contour lines.
-        """
-
-    def __init__(self, arg=None, color=None, show=None, width=None, **kwargs):
-        """
-        Construct a new Contour object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Contour`
-        color
-            Sets the color of the contour lines.
-        show
-            Sets whether or not dynamic contours are shown on hover
-        width
-            Sets the width of the contour lines.
-
-        Returns
-        -------
-        Contour
-        """
-        super(Contour, self).__init__("contour")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Contour 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Contour`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import contour as v_contour
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_contour.ColorValidator()
-        self._validators["show"] = v_contour.ShowValidator()
-        self._validators["width"] = v_contour.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.isosurface.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.isosurface.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.isosurface.col
-        orbar.tickformatstopdefaults), sets the default property values
-        to use for elements of isosurface.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use isosurface.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use isosurface.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.isosurface.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.isosur
-            face.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            isosurface.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.isosurface.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use isosurface.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use isosurface.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.isosurface.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.isosur
-            face.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            isosurface.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.isosurface.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use isosurface.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use isosurface.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Caps(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is an instance of X
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.caps.X`
-          - A dict of string/value properties that will be passed
-            to the X constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `caps`. The default
-                    fill value of the `caps` is 1 meaning that they
-                    are entirely shaded. On the other hand Applying
-                    a `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the x `slices` is 1
-                    meaning that they are entirely shaded. On the
-                    other hand Applying a `fill` ratio less than
-                    one would allow the creation of openings
-                    parallel to the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.caps.X
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is an instance of Y
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.caps.Y`
-          - A dict of string/value properties that will be passed
-            to the Y constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `caps`. The default
-                    fill value of the `caps` is 1 meaning that they
-                    are entirely shaded. On the other hand Applying
-                    a `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the y `slices` is 1
-                    meaning that they are entirely shaded. On the
-                    other hand Applying a `fill` ratio less than
-                    one would allow the creation of openings
-                    parallel to the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.caps.Y
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is an instance of Z
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.caps.Z`
-          - A dict of string/value properties that will be passed
-            to the Z constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `caps`. The default
-                    fill value of the `caps` is 1 meaning that they
-                    are entirely shaded. On the other hand Applying
-                    a `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the z `slices` is 1
-                    meaning that they are entirely shaded. On the
-                    other hand Applying a `fill` ratio less than
-                    one would allow the creation of openings
-                    parallel to the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.caps.Z
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            :class:`plotly.graph_objects.isosurface.caps.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.isosurface.caps.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.isosurface.caps.Z`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Caps object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.Caps`
-        x
-            :class:`plotly.graph_objects.isosurface.caps.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.isosurface.caps.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.isosurface.caps.Z`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Caps
-        """
-        super(Caps, self).__init__("caps")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.Caps 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.Caps`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface import caps as v_caps
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_caps.XValidator()
-        self._validators["y"] = v_caps.YValidator()
-        self._validators["z"] = v_caps.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Caps",
-    "ColorBar",
-    "Contour",
-    "Hoverlabel",
-    "Lighting",
-    "Lightposition",
-    "Slices",
-    "Spaceframe",
-    "Stream",
-    "Surface",
-    "caps",
-    "colorbar",
-    "hoverlabel",
-    "slices",
-]
-
-from plotly.graph_objs.isosurface import slices
-from plotly.graph_objs.isosurface import hoverlabel
-from plotly.graph_objs.isosurface import colorbar
-from plotly.graph_objs.isosurface import caps
+import sys
+
+if sys.version_info < (3, 7):
+    from ._surface import Surface
+    from ._stream import Stream
+    from ._spaceframe import Spaceframe
+    from ._slices import Slices
+    from ._lightposition import Lightposition
+    from ._lighting import Lighting
+    from ._hoverlabel import Hoverlabel
+    from ._contour import Contour
+    from ._colorbar import ColorBar
+    from ._caps import Caps
+    from . import slices
+    from . import hoverlabel
+    from . import colorbar
+    from . import caps
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".slices", ".hoverlabel", ".colorbar", ".caps"],
+        [
+            "._surface.Surface",
+            "._stream.Stream",
+            "._spaceframe.Spaceframe",
+            "._slices.Slices",
+            "._lightposition.Lightposition",
+            "._lighting.Lighting",
+            "._hoverlabel.Hoverlabel",
+            "._contour.Contour",
+            "._colorbar.ColorBar",
+            "._caps.Caps",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_caps.py b/packages/python/plotly/plotly/graph_objs/isosurface/_caps.py
new file mode 100644
index 00000000000..8578a59e2b0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_caps.py
@@ -0,0 +1,211 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Caps(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.caps"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is an instance of X
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.caps.X`
+          - A dict of string/value properties that will be passed
+            to the X constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `caps`. The default
+                    fill value of the `caps` is 1 meaning that they
+                    are entirely shaded. On the other hand Applying
+                    a `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the x `slices` is 1
+                    meaning that they are entirely shaded. On the
+                    other hand Applying a `fill` ratio less than
+                    one would allow the creation of openings
+                    parallel to the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.caps.X
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is an instance of Y
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.caps.Y`
+          - A dict of string/value properties that will be passed
+            to the Y constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `caps`. The default
+                    fill value of the `caps` is 1 meaning that they
+                    are entirely shaded. On the other hand Applying
+                    a `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the y `slices` is 1
+                    meaning that they are entirely shaded. On the
+                    other hand Applying a `fill` ratio less than
+                    one would allow the creation of openings
+                    parallel to the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.caps.Y
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is an instance of Z
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.caps.Z`
+          - A dict of string/value properties that will be passed
+            to the Z constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `caps`. The default
+                    fill value of the `caps` is 1 meaning that they
+                    are entirely shaded. On the other hand Applying
+                    a `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the z `slices` is 1
+                    meaning that they are entirely shaded. On the
+                    other hand Applying a `fill` ratio less than
+                    one would allow the creation of openings
+                    parallel to the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.caps.Z
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            :class:`plotly.graph_objects.isosurface.caps.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.isosurface.caps.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.isosurface.caps.Z`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Caps object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Caps`
+        x
+            :class:`plotly.graph_objects.isosurface.caps.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.isosurface.caps.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.isosurface.caps.Z`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Caps
+        """
+        super(Caps, self).__init__("caps")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Caps 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Caps`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_colorbar.py b/packages/python/plotly/plotly/graph_objs/isosurface/_colorbar.py
new file mode 100644
index 00000000000..6fc9bf684d2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_colorbar.py
@@ -0,0 +1,1939 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.isosurface.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.isosurface.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.isosurface.col
+        orbar.tickformatstopdefaults), sets the default property values
+        to use for elements of isosurface.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use isosurface.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use isosurface.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.isosurface.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.isosur
+            face.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            isosurface.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.isosurface.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use isosurface.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use isosurface.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.isosurface.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.isosur
+            face.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            isosurface.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.isosurface.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use isosurface.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use isosurface.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_contour.py b/packages/python/plotly/plotly/graph_objs/isosurface/_contour.py
new file mode 100644
index 00000000000..e0c93755e10
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_contour.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contour(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.contour"
+    _valid_props = {"color", "show", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour lines.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets whether or not dynamic contours are shown on hover
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the contour lines.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour lines.
+        show
+            Sets whether or not dynamic contours are shown on hover
+        width
+            Sets the width of the contour lines.
+        """
+
+    def __init__(self, arg=None, color=None, show=None, width=None, **kwargs):
+        """
+        Construct a new Contour object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Contour`
+        color
+            Sets the color of the contour lines.
+        show
+            Sets whether or not dynamic contours are shown on hover
+        width
+            Sets the width of the contour lines.
+
+        Returns
+        -------
+        Contour
+        """
+        super(Contour, self).__init__("contour")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Contour 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Contour`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/isosurface/_hoverlabel.py
new file mode 100644
index 00000000000..14c998d29e3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_lighting.py b/packages/python/plotly/plotly/graph_objs/isosurface/_lighting.py
new file mode 100644
index 00000000000..515e7dc3cd9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_lighting.py
@@ -0,0 +1,311 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lighting(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.lighting"
+    _valid_props = {
+        "ambient",
+        "diffuse",
+        "facenormalsepsilon",
+        "fresnel",
+        "roughness",
+        "specular",
+        "vertexnormalsepsilon",
+    }
+
+    # ambient
+    # -------
+    @property
+    def ambient(self):
+        """
+        Ambient light increases overall color visibility but can wash
+        out the image.
+    
+        The 'ambient' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ambient"]
+
+    @ambient.setter
+    def ambient(self, val):
+        self["ambient"] = val
+
+    # diffuse
+    # -------
+    @property
+    def diffuse(self):
+        """
+        Represents the extent that incident rays are reflected in a
+        range of angles.
+    
+        The 'diffuse' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["diffuse"]
+
+    @diffuse.setter
+    def diffuse(self, val):
+        self["diffuse"] = val
+
+    # facenormalsepsilon
+    # ------------------
+    @property
+    def facenormalsepsilon(self):
+        """
+        Epsilon for face normals calculation avoids math issues arising
+        from degenerate geometry.
+    
+        The 'facenormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["facenormalsepsilon"]
+
+    @facenormalsepsilon.setter
+    def facenormalsepsilon(self, val):
+        self["facenormalsepsilon"] = val
+
+    # fresnel
+    # -------
+    @property
+    def fresnel(self):
+        """
+        Represents the reflectance as a dependency of the viewing
+        angle; e.g. paper is reflective when viewing it from the edge
+        of the paper (almost 90 degrees), causing shine.
+    
+        The 'fresnel' property is a number and may be specified as:
+          - An int or float in the interval [0, 5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fresnel"]
+
+    @fresnel.setter
+    def fresnel(self, val):
+        self["fresnel"] = val
+
+    # roughness
+    # ---------
+    @property
+    def roughness(self):
+        """
+        Alters specular reflection; the rougher the surface, the wider
+        and less contrasty the shine.
+    
+        The 'roughness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roughness"]
+
+    @roughness.setter
+    def roughness(self, val):
+        self["roughness"] = val
+
+    # specular
+    # --------
+    @property
+    def specular(self):
+        """
+        Represents the level that incident rays are reflected in a
+        single direction, causing shine.
+    
+        The 'specular' property is a number and may be specified as:
+          - An int or float in the interval [0, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["specular"]
+
+    @specular.setter
+    def specular(self, val):
+        self["specular"] = val
+
+    # vertexnormalsepsilon
+    # --------------------
+    @property
+    def vertexnormalsepsilon(self):
+        """
+        Epsilon for vertex normals calculation avoids math issues
+        arising from degenerate geometry.
+    
+        The 'vertexnormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["vertexnormalsepsilon"]
+
+    @vertexnormalsepsilon.setter
+    def vertexnormalsepsilon(self, val):
+        self["vertexnormalsepsilon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        ambient=None,
+        diffuse=None,
+        facenormalsepsilon=None,
+        fresnel=None,
+        roughness=None,
+        specular=None,
+        vertexnormalsepsilon=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lighting object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Lighting`
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+
+        Returns
+        -------
+        Lighting
+        """
+        super(Lighting, self).__init__("lighting")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Lighting 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Lighting`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("ambient", None)
+        _v = ambient if ambient is not None else _v
+        if _v is not None:
+            self["ambient"] = _v
+        _v = arg.pop("diffuse", None)
+        _v = diffuse if diffuse is not None else _v
+        if _v is not None:
+            self["diffuse"] = _v
+        _v = arg.pop("facenormalsepsilon", None)
+        _v = facenormalsepsilon if facenormalsepsilon is not None else _v
+        if _v is not None:
+            self["facenormalsepsilon"] = _v
+        _v = arg.pop("fresnel", None)
+        _v = fresnel if fresnel is not None else _v
+        if _v is not None:
+            self["fresnel"] = _v
+        _v = arg.pop("roughness", None)
+        _v = roughness if roughness is not None else _v
+        if _v is not None:
+            self["roughness"] = _v
+        _v = arg.pop("specular", None)
+        _v = specular if specular is not None else _v
+        if _v is not None:
+            self["specular"] = _v
+        _v = arg.pop("vertexnormalsepsilon", None)
+        _v = vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
+        if _v is not None:
+            self["vertexnormalsepsilon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_lightposition.py b/packages/python/plotly/plotly/graph_objs/isosurface/_lightposition.py
new file mode 100644
index 00000000000..9f33a2eaeef
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_lightposition.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lightposition(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.lightposition"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Numeric vector, representing the X coordinate for each vertex.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Numeric vector, representing the Y coordinate for each vertex.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Numeric vector, representing the Z coordinate for each vertex.
+    
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Lightposition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Lightposition`
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+
+        Returns
+        -------
+        Lightposition
+        """
+        super(Lightposition, self).__init__("lightposition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Lightposition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Lightposition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_slices.py b/packages/python/plotly/plotly/graph_objs/isosurface/_slices.py
new file mode 100644
index 00000000000..edbc76184cb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_slices.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Slices(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.slices"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is an instance of X
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.slices.X`
+          - A dict of string/value properties that will be passed
+            to the X constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the `slices` is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                locations
+                    Specifies the location(s) of slices on the
+                    axis. When not specified slices would be
+                    created for all points of the axis x except
+                    start and end.
+                locationssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  locations .
+                show
+                    Determines whether or not slice planes about
+                    the x dimension are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.slices.X
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is an instance of Y
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.slices.Y`
+          - A dict of string/value properties that will be passed
+            to the Y constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the `slices` is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                locations
+                    Specifies the location(s) of slices on the
+                    axis. When not specified slices would be
+                    created for all points of the axis y except
+                    start and end.
+                locationssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  locations .
+                show
+                    Determines whether or not slice planes about
+                    the y dimension are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.slices.Y
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is an instance of Z
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.slices.Z`
+          - A dict of string/value properties that will be passed
+            to the Z constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the `slices` is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                locations
+                    Specifies the location(s) of slices on the
+                    axis. When not specified slices would be
+                    created for all points of the axis z except
+                    start and end.
+                locationssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  locations .
+                show
+                    Determines whether or not slice planes about
+                    the z dimension are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.slices.Z
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            :class:`plotly.graph_objects.isosurface.slices.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.isosurface.slices.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.isosurface.slices.Z`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Slices object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Slices`
+        x
+            :class:`plotly.graph_objects.isosurface.slices.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.isosurface.slices.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.isosurface.slices.Z`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Slices
+        """
+        super(Slices, self).__init__("slices")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Slices 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Slices`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_spaceframe.py b/packages/python/plotly/plotly/graph_objs/isosurface/_spaceframe.py
new file mode 100644
index 00000000000..e668b4bc850
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_spaceframe.py
@@ -0,0 +1,148 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Spaceframe(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.spaceframe"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `spaceframe` elements. The default
+        fill value is 0.15 meaning that only 15% of the area of every
+        faces of tetras would be shaded. Applying a greater `fill`
+        ratio would allow the creation of stronger elements or could be
+        sued to have entirely closed areas (in case of using 1).
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Displays/hides tetrahedron shapes between minimum and maximum
+        iso-values. Often useful when either caps or surfaces are
+        disabled or filled with values less than 1.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `spaceframe` elements. The
+            default fill value is 0.15 meaning that only 15% of the
+            area of every faces of tetras would be shaded. Applying
+            a greater `fill` ratio would allow the creation of
+            stronger elements or could be sued to have entirely
+            closed areas (in case of using 1).
+        show
+            Displays/hides tetrahedron shapes between minimum and
+            maximum iso-values. Often useful when either caps or
+            surfaces are disabled or filled with values less than
+            1.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new Spaceframe object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Spaceframe`
+        fill
+            Sets the fill ratio of the `spaceframe` elements. The
+            default fill value is 0.15 meaning that only 15% of the
+            area of every faces of tetras would be shaded. Applying
+            a greater `fill` ratio would allow the creation of
+            stronger elements or could be sued to have entirely
+            closed areas (in case of using 1).
+        show
+            Displays/hides tetrahedron shapes between minimum and
+            maximum iso-values. Often useful when either caps or
+            surfaces are disabled or filled with values less than
+            1.
+
+        Returns
+        -------
+        Spaceframe
+        """
+        super(Spaceframe, self).__init__("spaceframe")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Spaceframe 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Spaceframe`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_stream.py b/packages/python/plotly/plotly/graph_objs/isosurface/_stream.py
new file mode 100644
index 00000000000..87048660883
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/_surface.py b/packages/python/plotly/plotly/graph_objs/isosurface/_surface.py
new file mode 100644
index 00000000000..61de5758a92
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/_surface.py
@@ -0,0 +1,229 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Surface(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface"
+    _path_str = "isosurface.surface"
+    _valid_props = {"count", "fill", "pattern", "show"}
+
+    # count
+    # -----
+    @property
+    def count(self):
+        """
+        Sets the number of iso-surfaces between minimum and maximum
+        iso-values. By default this value is 2 meaning that only
+        minimum and maximum surfaces would be drawn.
+    
+        The 'count' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["count"]
+
+    @count.setter
+    def count(self, val):
+        self["count"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the iso-surface. The default fill value
+        of the surface is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # pattern
+    # -------
+    @property
+    def pattern(self):
+        """
+        Sets the surface pattern of the iso-surface 3-D sections. The
+        default pattern of the surface is `all` meaning that the rest
+        of surface elements would be shaded. The check options (either
+        1 or 2) could be used to draw half of the squares on the
+        surface. Using various combinations of capital `A`, `B`, `C`,
+        `D` and `E` may also be used to reduce the number of triangles
+        on the iso-surfaces and creating other patterns of interest.
+    
+        The 'pattern' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['A', 'B', 'C', 'D', 'E'] joined with '+' characters
+            (e.g. 'A+B')
+            OR exactly one of ['all', 'odd', 'even'] (e.g. 'even')
+
+        Returns
+        -------
+        Any
+        """
+        return self["pattern"]
+
+    @pattern.setter
+    def pattern(self, val):
+        self["pattern"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Hides/displays surfaces between minimum and maximum iso-values.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        count
+            Sets the number of iso-surfaces between minimum and
+            maximum iso-values. By default this value is 2 meaning
+            that only minimum and maximum surfaces would be drawn.
+        fill
+            Sets the fill ratio of the iso-surface. The default
+            fill value of the surface is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        pattern
+            Sets the surface pattern of the iso-surface 3-D
+            sections. The default pattern of the surface is `all`
+            meaning that the rest of surface elements would be
+            shaded. The check options (either 1 or 2) could be used
+            to draw half of the squares on the surface. Using
+            various combinations of capital `A`, `B`, `C`, `D` and
+            `E` may also be used to reduce the number of triangles
+            on the iso-surfaces and creating other patterns of
+            interest.
+        show
+            Hides/displays surfaces between minimum and maximum
+            iso-values.
+        """
+
+    def __init__(
+        self, arg=None, count=None, fill=None, pattern=None, show=None, **kwargs
+    ):
+        """
+        Construct a new Surface object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.Surface`
+        count
+            Sets the number of iso-surfaces between minimum and
+            maximum iso-values. By default this value is 2 meaning
+            that only minimum and maximum surfaces would be drawn.
+        fill
+            Sets the fill ratio of the iso-surface. The default
+            fill value of the surface is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        pattern
+            Sets the surface pattern of the iso-surface 3-D
+            sections. The default pattern of the surface is `all`
+            meaning that the rest of surface elements would be
+            shaded. The check options (either 1 or 2) could be used
+            to draw half of the squares on the surface. Using
+            various combinations of capital `A`, `B`, `C`, `D` and
+            `E` may also be used to reduce the number of triangles
+            on the iso-surfaces and creating other patterns of
+            interest.
+        show
+            Hides/displays surfaces between minimum and maximum
+            iso-values.
+
+        Returns
+        -------
+        Surface
+        """
+        super(Surface, self).__init__("surface")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.Surface 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.Surface`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("count", None)
+        _v = count if count is not None else _v
+        if _v is not None:
+            self["count"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("pattern", None)
+        _v = pattern if pattern is not None else _v
+        if _v is not None:
+            self["pattern"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/caps/__init__.py b/packages/python/plotly/plotly/graph_objs/isosurface/caps/__init__.py
index cce84884b08..3e3a4f570cc 100644
--- a/packages/python/plotly/plotly/graph_objs/isosurface/caps/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/caps/__init__.py
@@ -1,454 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Z(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `caps`. The default fill value of
-        the `caps` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the z `slices` is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.caps"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the z `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new Z object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.caps.Z`
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the z `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-
-        Returns
-        -------
-        Z
-        """
-        super(Z, self).__init__("z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.caps.Z 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.caps.Z`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.caps import z as v_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_z.FillValidator()
-        self._validators["show"] = v_z.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Y(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `caps`. The default fill value of
-        the `caps` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the y `slices` is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.caps"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the y `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new Y object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.caps.Y`
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the y `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-
-        Returns
-        -------
-        Y
-        """
-        super(Y, self).__init__("y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.caps.Y 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.caps.Y`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.caps import y as v_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_y.FillValidator()
-        self._validators["show"] = v_y.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class X(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `caps`. The default fill value of
-        the `caps` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the x `slices` is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.caps"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the x `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new X object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.caps.X`
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the x `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-
-        Returns
-        -------
-        X
-        """
-        super(X, self).__init__("x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.caps.X 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.caps.X`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.caps import x as v_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_x.FillValidator()
-        self._validators["show"] = v_x.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["X", "Y", "Z"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import Z
+    from ._y import Y
+    from ._x import X
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.Z", "._y.Y", "._x.X"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/caps/_x.py b/packages/python/plotly/plotly/graph_objs/isosurface/caps/_x.py
new file mode 100644
index 00000000000..070b67b55b9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/caps/_x.py
@@ -0,0 +1,148 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class X(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.caps"
+    _path_str = "isosurface.caps.x"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `caps`. The default fill value of
+        the `caps` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the x `slices` is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the x `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new X object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.caps.X`
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the x `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+
+        Returns
+        -------
+        X
+        """
+        super(X, self).__init__("x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.caps.X 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.caps.X`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/caps/_y.py b/packages/python/plotly/plotly/graph_objs/isosurface/caps/_y.py
new file mode 100644
index 00000000000..17e4f2484cc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/caps/_y.py
@@ -0,0 +1,148 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Y(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.caps"
+    _path_str = "isosurface.caps.y"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `caps`. The default fill value of
+        the `caps` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the y `slices` is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the y `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new Y object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.caps.Y`
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the y `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+
+        Returns
+        -------
+        Y
+        """
+        super(Y, self).__init__("y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.caps.Y 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.caps.Y`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/caps/_z.py b/packages/python/plotly/plotly/graph_objs/isosurface/caps/_z.py
new file mode 100644
index 00000000000..fd987be3375
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/caps/_z.py
@@ -0,0 +1,148 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Z(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.caps"
+    _path_str = "isosurface.caps.z"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `caps`. The default fill value of
+        the `caps` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the z `slices` is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the z `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new Z object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.caps.Z`
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the z `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+
+        Returns
+        -------
+        Z
+        """
+        super(Z, self).__init__("z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.caps.Z 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.caps.Z`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/__init__.py
index f18f1430d89..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.isosurface.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.isosurface.col
-            orbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.isosurface.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_tickfont.py
new file mode 100644
index 00000000000..57ca113b2fa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.colorbar"
+    _path_str = "isosurface.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..0135522c946
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.colorbar"
+    _path_str = "isosurface.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.isosurface.col
+            orbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_title.py
new file mode 100644
index 00000000000..0c0366fba73
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.colorbar"
+    _path_str = "isosurface.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.isosurface.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/__init__.py
index 9cb2c5118b2..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.isosurface.col
-            orbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/_font.py
new file mode 100644
index 00000000000..13bf33b1037
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.colorbar.title"
+    _path_str = "isosurface.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.isosurface.col
+            orbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/__init__.py
index 6367e61de62..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/_font.py
new file mode 100644
index 00000000000..e2d518c78c9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.hoverlabel"
+    _path_str = "isosurface.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/slices/__init__.py b/packages/python/plotly/plotly/graph_objs/isosurface/slices/__init__.py
index 3a3f38fc70c..3e3a4f570cc 100644
--- a/packages/python/plotly/plotly/graph_objs/isosurface/slices/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/slices/__init__.py
@@ -1,643 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Z(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the `slices` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Specifies the location(s) of slices on the axis. When not
-        specified slices would be created for all points of the axis z
-        except start and end.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not slice planes about the z dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.slices"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis z except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the z
-            dimension are drawn.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fill=None,
-        locations=None,
-        locationssrc=None,
-        show=None,
-        **kwargs
-    ):
-        """
-        Construct a new Z object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.slices.Z`
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis z except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the z
-            dimension are drawn.
-
-        Returns
-        -------
-        Z
-        """
-        super(Z, self).__init__("z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.slices.Z 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.slices.Z`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.slices import z as v_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_z.FillValidator()
-        self._validators["locations"] = v_z.LocationsValidator()
-        self._validators["locationssrc"] = v_z.LocationssrcValidator()
-        self._validators["show"] = v_z.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Y(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the `slices` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Specifies the location(s) of slices on the axis. When not
-        specified slices would be created for all points of the axis y
-        except start and end.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not slice planes about the y dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.slices"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis y except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the y
-            dimension are drawn.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fill=None,
-        locations=None,
-        locationssrc=None,
-        show=None,
-        **kwargs
-    ):
-        """
-        Construct a new Y object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.slices.Y`
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis y except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the y
-            dimension are drawn.
-
-        Returns
-        -------
-        Y
-        """
-        super(Y, self).__init__("y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.slices.Y 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.slices.Y`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.slices import y as v_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_y.FillValidator()
-        self._validators["locations"] = v_y.LocationsValidator()
-        self._validators["locationssrc"] = v_y.LocationssrcValidator()
-        self._validators["show"] = v_y.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class X(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the `slices` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Specifies the location(s) of slices on the axis. When not
-        specified slices would be created for all points of the axis x
-        except start and end.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not slice planes about the x dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "isosurface.slices"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis x except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the x
-            dimension are drawn.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fill=None,
-        locations=None,
-        locationssrc=None,
-        show=None,
-        **kwargs
-    ):
-        """
-        Construct a new X object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.isosurface.slices.X`
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis x except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the x
-            dimension are drawn.
-
-        Returns
-        -------
-        X
-        """
-        super(X, self).__init__("x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.isosurface.slices.X 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.isosurface.slices.X`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.isosurface.slices import x as v_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_x.FillValidator()
-        self._validators["locations"] = v_x.LocationsValidator()
-        self._validators["locationssrc"] = v_x.LocationssrcValidator()
-        self._validators["show"] = v_x.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["X", "Y", "Z"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import Z
+    from ._y import Y
+    from ._x import X
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.Z", "._y.Y", "._x.X"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/slices/_x.py b/packages/python/plotly/plotly/graph_objs/isosurface/slices/_x.py
new file mode 100644
index 00000000000..c672d2eb961
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/slices/_x.py
@@ -0,0 +1,213 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class X(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.slices"
+    _path_str = "isosurface.slices.x"
+    _valid_props = {"fill", "locations", "locationssrc", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the `slices` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Specifies the location(s) of slices on the axis. When not
+        specified slices would be created for all points of the axis x
+        except start and end.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not slice planes about the x dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis x except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the x
+            dimension are drawn.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fill=None,
+        locations=None,
+        locationssrc=None,
+        show=None,
+        **kwargs
+    ):
+        """
+        Construct a new X object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.slices.X`
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis x except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the x
+            dimension are drawn.
+
+        Returns
+        -------
+        X
+        """
+        super(X, self).__init__("x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.slices.X 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.slices.X`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/slices/_y.py b/packages/python/plotly/plotly/graph_objs/isosurface/slices/_y.py
new file mode 100644
index 00000000000..cdd2cff4023
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/slices/_y.py
@@ -0,0 +1,213 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Y(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.slices"
+    _path_str = "isosurface.slices.y"
+    _valid_props = {"fill", "locations", "locationssrc", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the `slices` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Specifies the location(s) of slices on the axis. When not
+        specified slices would be created for all points of the axis y
+        except start and end.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not slice planes about the y dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis y except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the y
+            dimension are drawn.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fill=None,
+        locations=None,
+        locationssrc=None,
+        show=None,
+        **kwargs
+    ):
+        """
+        Construct a new Y object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.slices.Y`
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis y except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the y
+            dimension are drawn.
+
+        Returns
+        -------
+        Y
+        """
+        super(Y, self).__init__("y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.slices.Y 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.slices.Y`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/isosurface/slices/_z.py b/packages/python/plotly/plotly/graph_objs/isosurface/slices/_z.py
new file mode 100644
index 00000000000..3a9c6d2ab92
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/isosurface/slices/_z.py
@@ -0,0 +1,213 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Z(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "isosurface.slices"
+    _path_str = "isosurface.slices.z"
+    _valid_props = {"fill", "locations", "locationssrc", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the `slices` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Specifies the location(s) of slices on the axis. When not
+        specified slices would be created for all points of the axis z
+        except start and end.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not slice planes about the z dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis z except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the z
+            dimension are drawn.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fill=None,
+        locations=None,
+        locationssrc=None,
+        show=None,
+        **kwargs
+    ):
+        """
+        Construct a new Z object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.isosurface.slices.Z`
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis z except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the z
+            dimension are drawn.
+
+        Returns
+        -------
+        Z
+        """
+        super(Z, self).__init__("z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.isosurface.slices.Z 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.isosurface.slices.Z`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/__init__.py
index 845cdb91cf5..25481ae3307 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/__init__.py
@@ -1,23616 +1,99 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class YAxis(_BaseLayoutHierarchyType):
-
-    # anchor
-    # ------
-    @property
-    def anchor(self):
-        """
-        If set to an opposite-letter axis id (e.g. `x2`, `y`), this
-        axis is bound to the corresponding opposite-letter axis. If set
-        to "free", this axis' position is determined by `position`.
-    
-        The 'anchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['free']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["anchor"]
-
-    @anchor.setter
-    def anchor(self, val):
-        self["anchor"] = val
-
-    # automargin
-    # ----------
-    @property
-    def automargin(self):
-        """
-        Determines whether long tick labels automatically grow the
-        figure margins.
-    
-        The 'automargin' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["automargin"]
-
-    @automargin.setter
-    def automargin(self, val):
-        self["automargin"] = val
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the calendar system to use for `range` and `tick0` if this
-        is a date axis. This does not set the calendar for interpreting
-        data on this axis, that's specified in the trace or via the
-        global `layout.calendar`
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # constrain
-    # ---------
-    @property
-    def constrain(self):
-        """
-        If this axis needs to be compressed (either due to its own
-        `scaleanchor` and `scaleratio` or those of the other axis),
-        determines how that happens: by increasing the "range"
-        (default), or by decreasing the "domain".
-    
-        The 'constrain' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['range', 'domain']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constrain"]
-
-    @constrain.setter
-    def constrain(self, val):
-        self["constrain"] = val
-
-    # constraintoward
-    # ---------------
-    @property
-    def constraintoward(self):
-        """
-        If this axis needs to be compressed (either due to its own
-        `scaleanchor` and `scaleratio` or those of the other axis),
-        determines which direction we push the originally specified
-        plot area. Options are "left", "center" (default), and "right"
-        for x axes, and "top", "middle" (default), and "bottom" for y
-        axes.
-    
-        The 'constraintoward' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constraintoward"]
-
-    @constraintoward.setter
-    def constraintoward(self, val):
-        self["constraintoward"] = val
-
-    # dividercolor
-    # ------------
-    @property
-    def dividercolor(self):
-        """
-        Sets the color of the dividers Only has an effect on
-        "multicategory" axes.
-    
-        The 'dividercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["dividercolor"]
-
-    @dividercolor.setter
-    def dividercolor(self, val):
-        self["dividercolor"] = val
-
-    # dividerwidth
-    # ------------
-    @property
-    def dividerwidth(self):
-        """
-        Sets the width (in px) of the dividers Only has an effect on
-        "multicategory" axes.
-    
-        The 'dividerwidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dividerwidth"]
-
-    @dividerwidth.setter
-    def dividerwidth(self, val):
-        self["dividerwidth"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        Sets the domain of this axis (in plot fraction).
-    
-        The 'domain' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'domain[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'domain[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # fixedrange
-    # ----------
-    @property
-    def fixedrange(self):
-        """
-        Determines whether or not this axis is zoom-able. If true, then
-        zoom is disabled.
-    
-        The 'fixedrange' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["fixedrange"]
-
-    @fixedrange.setter
-    def fixedrange(self, val):
-        self["fixedrange"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # matches
-    # -------
-    @property
-    def matches(self):
-        """
-        If set to another axis id (e.g. `x2`, `y`), the range of this
-        axis will match the range of the corresponding axis in data-
-        coordinates space. Moreover, matching axes share auto-range
-        values, category lists and histogram auto-bins. Note that
-        setting axes simultaneously in both a `scaleanchor` and a
-        `matches` constraint is currently forbidden. Moreover, note
-        that matching axes must have the same `type`.
-    
-        The 'matches' property is an enumeration that may be specified as:
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["matches"]
-
-    @matches.setter
-    def matches(self, val):
-        self["matches"] = val
-
-    # mirror
-    # ------
-    @property
-    def mirror(self):
-        """
-        Determines if the axis lines or/and ticks are mirrored to the
-        opposite side of the plotting area. If True, the axis lines are
-        mirrored. If "ticks", the axis lines and ticks are mirrored. If
-        False, mirroring is disable. If "all", axis lines are mirrored
-        on all shared-axes subplots. If "allticks", axis lines and
-        ticks are mirrored on all shared-axes subplots.
-    
-        The 'mirror' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, 'ticks', False, 'all', 'allticks']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mirror"]
-
-    @mirror.setter
-    def mirror(self, val):
-        self["mirror"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # overlaying
-    # ----------
-    @property
-    def overlaying(self):
-        """
-        If set a same-letter axis id, this axis is overlaid on top of
-        the corresponding same-letter axis, with traces and axes
-        visible for both axes. If False, this axis does not overlay any
-        same-letter axes. In this case, for axes with overlapping
-        domains only the highest-numbered axis will be visible.
-    
-        The 'overlaying' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['free']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["overlaying"]
-
-    @overlaying.setter
-    def overlaying(self, val):
-        self["overlaying"] = val
-
-    # position
-    # --------
-    @property
-    def position(self):
-        """
-        Sets the position of this axis in the plotting space (in
-        normalized coordinates). Only has an effect if `anchor` is set
-        to "free".
-    
-        The 'position' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["position"]
-
-    @position.setter
-    def position(self, val):
-        self["position"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangebreaks
-    # -----------
-    @property
-    def rangebreaks(self):
-        """
-        The 'rangebreaks' property is a tuple of instances of
-        Rangebreak that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.yaxis.Rangebreak
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Rangebreak constructor
-    
-            Supported dict properties:
-                
-                bounds
-                    Sets the lower and upper bounds of this axis
-                    rangebreak. Can be used with `pattern`.
-                dvalue
-                    Sets the size of each `values` item. The
-                    default is one day in milliseconds.
-                enabled
-                    Determines whether this axis rangebreak is
-                    enabled or disabled. Please note that
-                    `rangebreaks` only work for "date" axis type.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                pattern
-                    Determines a pattern on the time line that
-                    generates breaks. If *day of week* - days of
-                    the week in English e.g. 'Sunday' or `sun`
-                    (matching is case-insensitive and considers
-                    only the first three characters), as well as
-                    Sunday-based integers between 0 and 6. If
-                    "hour" - hour (24-hour clock) as decimal
-                    numbers between 0 and 24. for more info.
-                    Examples: - { pattern: 'day of week', bounds:
-                    [6, 1] }  or simply { bounds: ['sat', 'mon'] }
-                    breaks from Saturday to Monday (i.e. skips the
-                    weekends). - { pattern: 'hour', bounds: [17, 8]
-                    }   breaks from 5pm to 8am (i.e. skips non-work
-                    hours).
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                values
-                    Sets the coordinate values corresponding to the
-                    rangebreaks. An alternative to `bounds`. Use
-                    `dvalue` to set the size of the values along
-                    the axis.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.yaxis.Rangebreak]
-        """
-        return self["rangebreaks"]
-
-    @rangebreaks.setter
-    def rangebreaks(self, val):
-        self["rangebreaks"] = val
-
-    # rangebreakdefaults
-    # ------------------
-    @property
-    def rangebreakdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.yaxis.rangebreakdefaults), sets the
-        default property values to use for elements of
-        layout.yaxis.rangebreaks
-    
-        The 'rangebreakdefaults' property is an instance of Rangebreak
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.yaxis.Rangebreak`
-          - A dict of string/value properties that will be passed
-            to the Rangebreak constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.yaxis.Rangebreak
-        """
-        return self["rangebreakdefaults"]
-
-    @rangebreakdefaults.setter
-    def rangebreakdefaults(self, val):
-        self["rangebreakdefaults"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data. Applies only to
-        linear axes.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # scaleanchor
-    # -----------
-    @property
-    def scaleanchor(self):
-        """
-        If set to another axis id (e.g. `x2`, `y`), the range of this
-        axis changes together with the range of the corresponding axis
-        such that the scale of pixels per unit is in a constant ratio.
-        Both axes are still zoomable, but when you zoom one, the other
-        will zoom the same amount, keeping a fixed midpoint.
-        `constrain` and `constraintoward` determine how we enforce the
-        constraint. You can chain these, ie `yaxis: {scaleanchor: *x*},
-        xaxis2: {scaleanchor: *y*}` but you can only link axes of the
-        same `type`. The linked axis can have the opposite letter (to
-        constrain the aspect ratio) or the same letter (to match scales
-        across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
-        {scaleanchor: *y*}` or longer) are redundant and the last
-        constraint encountered will be ignored to avoid possible
-        inconsistent constraints via `scaleratio`. Note that setting
-        axes simultaneously in both a `scaleanchor` and a `matches`
-        constraint is currently forbidden.
-    
-        The 'scaleanchor' property is an enumeration that may be specified as:
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["scaleanchor"]
-
-    @scaleanchor.setter
-    def scaleanchor(self, val):
-        self["scaleanchor"] = val
-
-    # scaleratio
-    # ----------
-    @property
-    def scaleratio(self):
-        """
-        If this axis is linked to another by `scaleanchor`, this
-        determines the pixel to unit scale ratio. For example, if this
-        value is 10, then every unit on this axis spans 10 times the
-        number of pixels as a unit on the linked axis. Use this for
-        example to create an elevation profile where the vertical scale
-        is exaggerated a fixed amount with respect to the horizontal.
-    
-        The 'scaleratio' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["scaleratio"]
-
-    @scaleratio.setter
-    def scaleratio(self, val):
-        self["scaleratio"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showdividers
-    # ------------
-    @property
-    def showdividers(self):
-        """
-        Determines whether or not a dividers are drawn between the
-        category levels of this axis. Only has an effect on
-        "multicategory" axes.
-    
-        The 'showdividers' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showdividers"]
-
-    @showdividers.setter
-    def showdividers(self, val):
-        self["showdividers"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showspikes
-    # ----------
-    @property
-    def showspikes(self):
-        """
-        Determines whether or not spikes (aka droplines) are drawn for
-        this axis. Note: This only takes affect when hovermode =
-        closest
-    
-        The 'showspikes' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showspikes"]
-
-    @showspikes.setter
-    def showspikes(self, val):
-        self["showspikes"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines whether a x (y) axis is positioned at the "bottom"
-        ("left") or "top" ("right") of the plotting area.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'bottom', 'left', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # spikecolor
-    # ----------
-    @property
-    def spikecolor(self):
-        """
-        Sets the spike color. If undefined, will use the series color
-    
-        The 'spikecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["spikecolor"]
-
-    @spikecolor.setter
-    def spikecolor(self, val):
-        self["spikecolor"] = val
-
-    # spikedash
-    # ---------
-    @property
-    def spikedash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'spikedash' property is a string and must be specified as:
-          - One of the following strings:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["spikedash"]
-
-    @spikedash.setter
-    def spikedash(self, val):
-        self["spikedash"] = val
-
-    # spikemode
-    # ---------
-    @property
-    def spikemode(self):
-        """
-        Determines the drawing mode for the spike line If "toaxis", the
-        line is drawn from the data point to the axis the  series is
-        plotted on. If "across", the line is drawn across the entire
-        plot area, and supercedes "toaxis". If "marker", then a marker
-        dot is drawn on the axis the series is plotted on
-    
-        The 'spikemode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['toaxis', 'across', 'marker'] joined with '+' characters
-            (e.g. 'toaxis+across')
-
-        Returns
-        -------
-        Any
-        """
-        return self["spikemode"]
-
-    @spikemode.setter
-    def spikemode(self, val):
-        self["spikemode"] = val
-
-    # spikesnap
-    # ---------
-    @property
-    def spikesnap(self):
-        """
-        Determines whether spikelines are stuck to the cursor or to the
-        closest datapoints.
-    
-        The 'spikesnap' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['data', 'cursor', 'hovered data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["spikesnap"]
-
-    @spikesnap.setter
-    def spikesnap(self, val):
-        self["spikesnap"] = val
-
-    # spikethickness
-    # --------------
-    @property
-    def spikethickness(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'spikethickness' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["spikethickness"]
-
-    @spikethickness.setter
-    def spikethickness(self, val):
-        self["spikethickness"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.yaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.yaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.yaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.yaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.yaxis.tickformatstopdefaults), sets the
-        default property values to use for elements of
-        layout.yaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.yaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # tickson
-    # -------
-    @property
-    def tickson(self):
-        """
-        Determines where ticks and grid lines are drawn with respect to
-        their corresponding tick labels. Only has an effect for axes of
-        `type` "category" or "multicategory". When set to "boundaries",
-        ticks and grid lines are drawn half a category to the
-        left/bottom of labels.
-    
-        The 'tickson' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['labels', 'boundaries']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickson"]
-
-    @tickson.setter
-    def tickson(self, val):
-        self["tickson"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.yaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                standoff
-                    Sets the standoff distance (in px) between the
-                    axis labels and the title text The default
-                    value is a function of the axis tick labels,
-                    the title `font.size` and the axis `linewidth`.
-                    Note that the axis title position is always
-                    constrained within the margins, so the actual
-                    standoff distance is always less than the set
-                    or default value. By setting `standoff` and
-                    turning on `automargin`, plotly.js will push
-                    the margins to fit the axis title at given
-                    standoff distance.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.yaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.yaxis.title.font instead. Sets
-        this axis' title font. Note that the title's font used to be
-        customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'log', 'date', 'category',
-                'multicategory']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `range`,
-        `autorange`, and `title` if in `editable: true` configuration.
-        Defaults to `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # zeroline
-    # --------
-    @property
-    def zeroline(self):
-        """
-        Determines whether or not a line is drawn at along the 0 value
-        of this axis. If True, the zero line is drawn on top of the
-        grid lines.
-    
-        The 'zeroline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zeroline"]
-
-    @zeroline.setter
-    def zeroline(self, val):
-        self["zeroline"] = val
-
-    # zerolinecolor
-    # -------------
-    @property
-    def zerolinecolor(self):
-        """
-        Sets the line color of the zero line.
-    
-        The 'zerolinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["zerolinecolor"]
-
-    @zerolinecolor.setter
-    def zerolinecolor(self, val):
-        self["zerolinecolor"] = val
-
-    # zerolinewidth
-    # -------------
-    @property
-    def zerolinewidth(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'zerolinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zerolinewidth"]
-
-    @zerolinewidth.setter
-    def zerolinewidth(self, val):
-        self["zerolinewidth"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        anchor
-            If set to an opposite-letter axis id (e.g. `x2`, `y`),
-            this axis is bound to the corresponding opposite-letter
-            axis. If set to "free", this axis' position is
-            determined by `position`.
-        automargin
-            Determines whether long tick labels automatically grow
-            the figure margins.
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        constrain
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines how that happens: by increasing
-            the "range" (default), or by decreasing the "domain".
-        constraintoward
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines which direction we push the
-            originally specified plot area. Options are "left",
-            "center" (default), and "right" for x axes, and "top",
-            "middle" (default), and "bottom" for y axes.
-        dividercolor
-            Sets the color of the dividers Only has an effect on
-            "multicategory" axes.
-        dividerwidth
-            Sets the width (in px) of the dividers Only has an
-            effect on "multicategory" axes.
-        domain
-            Sets the domain of this axis (in plot fraction).
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        matches
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis will match the range of the corresponding
-            axis in data-coordinates space. Moreover, matching axes
-            share auto-range values, category lists and histogram
-            auto-bins. Note that setting axes simultaneously in
-            both a `scaleanchor` and a `matches` constraint is
-            currently forbidden. Moreover, note that matching axes
-            must have the same `type`.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        overlaying
-            If set a same-letter axis id, this axis is overlaid on
-            top of the corresponding same-letter axis, with traces
-            and axes visible for both axes. If False, this axis
-            does not overlay any same-letter axes. In this case,
-            for axes with overlapping domains only the highest-
-            numbered axis will be visible.
-        position
-            Sets the position of this axis in the plotting space
-            (in normalized coordinates). Only has an effect if
-            `anchor` is set to "free".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangebreaks
-            A tuple of
-            :class:`plotly.graph_objects.layout.yaxis.Rangebreak`
-            instances or dicts with compatible properties
-        rangebreakdefaults
-            When used in a template (as
-            layout.template.layout.yaxis.rangebreakdefaults), sets
-            the default property values to use for elements of
-            layout.yaxis.rangebreaks
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        scaleanchor
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis changes together with the range of the
-            corresponding axis such that the scale of pixels per
-            unit is in a constant ratio. Both axes are still
-            zoomable, but when you zoom one, the other will zoom
-            the same amount, keeping a fixed midpoint. `constrain`
-            and `constraintoward` determine how we enforce the
-            constraint. You can chain these, ie `yaxis:
-            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
-            can only link axes of the same `type`. The linked axis
-            can have the opposite letter (to constrain the aspect
-            ratio) or the same letter (to match scales across
-            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
-            {scaleanchor: *y*}` or longer) are redundant and the
-            last constraint encountered will be ignored to avoid
-            possible inconsistent constraints via `scaleratio`.
-            Note that setting axes simultaneously in both a
-            `scaleanchor` and a `matches` constraint is currently
-            forbidden.
-        scaleratio
-            If this axis is linked to another by `scaleanchor`,
-            this determines the pixel to unit scale ratio. For
-            example, if this value is 10, then every unit on this
-            axis spans 10 times the number of pixels as a unit on
-            the linked axis. Use this for example to create an
-            elevation profile where the vertical scale is
-            exaggerated a fixed amount with respect to the
-            horizontal.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showdividers
-            Determines whether or not a dividers are drawn between
-            the category levels of this axis. Only has an effect on
-            "multicategory" axes.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Determines whether or not spikes (aka droplines) are
-            drawn for this axis. Note: This only takes affect when
-            hovermode = closest
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        side
-            Determines whether a x (y) axis is positioned at the
-            "bottom" ("left") or "top" ("right") of the plotting
-            area.
-        spikecolor
-            Sets the spike color. If undefined, will use the series
-            color
-        spikedash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        spikemode
-            Determines the drawing mode for the spike line If
-            "toaxis", the line is drawn from the data point to the
-            axis the  series is plotted on. If "across", the line
-            is drawn across the entire plot area, and supercedes
-            "toaxis". If "marker", then a marker dot is drawn on
-            the axis the series is plotted on
-        spikesnap
-            Determines whether spikelines are stuck to the cursor
-            or to the closest datapoints.
-        spikethickness
-            Sets the width (in px) of the zero line.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.yaxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as
-            layout.template.layout.yaxis.tickformatstopdefaults),
-            sets the default property values to use for elements of
-            layout.yaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        tickson
-            Determines where ticks and grid lines are drawn with
-            respect to their corresponding tick labels. Only has an
-            effect for axes of `type` "category" or
-            "multicategory". When set to "boundaries", ticks and
-            grid lines are drawn half a category to the left/bottom
-            of labels.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.yaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.yaxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `range`, `autorange`, and `title` if in `editable:
-            true` configuration. Defaults to `layout.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        anchor=None,
-        automargin=None,
-        autorange=None,
-        calendar=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        constrain=None,
-        constraintoward=None,
-        dividercolor=None,
-        dividerwidth=None,
-        domain=None,
-        dtick=None,
-        exponentformat=None,
-        fixedrange=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        matches=None,
-        mirror=None,
-        nticks=None,
-        overlaying=None,
-        position=None,
-        range=None,
-        rangebreaks=None,
-        rangebreakdefaults=None,
-        rangemode=None,
-        scaleanchor=None,
-        scaleratio=None,
-        separatethousands=None,
-        showdividers=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showspikes=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        side=None,
-        spikecolor=None,
-        spikedash=None,
-        spikemode=None,
-        spikesnap=None,
-        spikethickness=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        tickson=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        type=None,
-        uirevision=None,
-        visible=None,
-        zeroline=None,
-        zerolinecolor=None,
-        zerolinewidth=None,
-        **kwargs
-    ):
-        """
-        Construct a new YAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.YAxis`
-        anchor
-            If set to an opposite-letter axis id (e.g. `x2`, `y`),
-            this axis is bound to the corresponding opposite-letter
-            axis. If set to "free", this axis' position is
-            determined by `position`.
-        automargin
-            Determines whether long tick labels automatically grow
-            the figure margins.
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        constrain
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines how that happens: by increasing
-            the "range" (default), or by decreasing the "domain".
-        constraintoward
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines which direction we push the
-            originally specified plot area. Options are "left",
-            "center" (default), and "right" for x axes, and "top",
-            "middle" (default), and "bottom" for y axes.
-        dividercolor
-            Sets the color of the dividers Only has an effect on
-            "multicategory" axes.
-        dividerwidth
-            Sets the width (in px) of the dividers Only has an
-            effect on "multicategory" axes.
-        domain
-            Sets the domain of this axis (in plot fraction).
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        matches
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis will match the range of the corresponding
-            axis in data-coordinates space. Moreover, matching axes
-            share auto-range values, category lists and histogram
-            auto-bins. Note that setting axes simultaneously in
-            both a `scaleanchor` and a `matches` constraint is
-            currently forbidden. Moreover, note that matching axes
-            must have the same `type`.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        overlaying
-            If set a same-letter axis id, this axis is overlaid on
-            top of the corresponding same-letter axis, with traces
-            and axes visible for both axes. If False, this axis
-            does not overlay any same-letter axes. In this case,
-            for axes with overlapping domains only the highest-
-            numbered axis will be visible.
-        position
-            Sets the position of this axis in the plotting space
-            (in normalized coordinates). Only has an effect if
-            `anchor` is set to "free".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangebreaks
-            A tuple of
-            :class:`plotly.graph_objects.layout.yaxis.Rangebreak`
-            instances or dicts with compatible properties
-        rangebreakdefaults
-            When used in a template (as
-            layout.template.layout.yaxis.rangebreakdefaults), sets
-            the default property values to use for elements of
-            layout.yaxis.rangebreaks
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        scaleanchor
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis changes together with the range of the
-            corresponding axis such that the scale of pixels per
-            unit is in a constant ratio. Both axes are still
-            zoomable, but when you zoom one, the other will zoom
-            the same amount, keeping a fixed midpoint. `constrain`
-            and `constraintoward` determine how we enforce the
-            constraint. You can chain these, ie `yaxis:
-            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
-            can only link axes of the same `type`. The linked axis
-            can have the opposite letter (to constrain the aspect
-            ratio) or the same letter (to match scales across
-            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
-            {scaleanchor: *y*}` or longer) are redundant and the
-            last constraint encountered will be ignored to avoid
-            possible inconsistent constraints via `scaleratio`.
-            Note that setting axes simultaneously in both a
-            `scaleanchor` and a `matches` constraint is currently
-            forbidden.
-        scaleratio
-            If this axis is linked to another by `scaleanchor`,
-            this determines the pixel to unit scale ratio. For
-            example, if this value is 10, then every unit on this
-            axis spans 10 times the number of pixels as a unit on
-            the linked axis. Use this for example to create an
-            elevation profile where the vertical scale is
-            exaggerated a fixed amount with respect to the
-            horizontal.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showdividers
-            Determines whether or not a dividers are drawn between
-            the category levels of this axis. Only has an effect on
-            "multicategory" axes.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Determines whether or not spikes (aka droplines) are
-            drawn for this axis. Note: This only takes affect when
-            hovermode = closest
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        side
-            Determines whether a x (y) axis is positioned at the
-            "bottom" ("left") or "top" ("right") of the plotting
-            area.
-        spikecolor
-            Sets the spike color. If undefined, will use the series
-            color
-        spikedash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        spikemode
-            Determines the drawing mode for the spike line If
-            "toaxis", the line is drawn from the data point to the
-            axis the  series is plotted on. If "across", the line
-            is drawn across the entire plot area, and supercedes
-            "toaxis". If "marker", then a marker dot is drawn on
-            the axis the series is plotted on
-        spikesnap
-            Determines whether spikelines are stuck to the cursor
-            or to the closest datapoints.
-        spikethickness
-            Sets the width (in px) of the zero line.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.yaxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as
-            layout.template.layout.yaxis.tickformatstopdefaults),
-            sets the default property values to use for elements of
-            layout.yaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        tickson
-            Determines where ticks and grid lines are drawn with
-            respect to their corresponding tick labels. Only has an
-            effect for axes of `type` "category" or
-            "multicategory". When set to "boundaries", ticks and
-            grid lines are drawn half a category to the left/bottom
-            of labels.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.yaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.yaxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `range`, `autorange`, and `title` if in `editable:
-            true` configuration. Defaults to `layout.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        YAxis
-        """
-        super(YAxis, self).__init__("yaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.YAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.YAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import yaxis as v_yaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["anchor"] = v_yaxis.AnchorValidator()
-        self._validators["automargin"] = v_yaxis.AutomarginValidator()
-        self._validators["autorange"] = v_yaxis.AutorangeValidator()
-        self._validators["calendar"] = v_yaxis.CalendarValidator()
-        self._validators["categoryarray"] = v_yaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_yaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_yaxis.CategoryorderValidator()
-        self._validators["color"] = v_yaxis.ColorValidator()
-        self._validators["constrain"] = v_yaxis.ConstrainValidator()
-        self._validators["constraintoward"] = v_yaxis.ConstraintowardValidator()
-        self._validators["dividercolor"] = v_yaxis.DividercolorValidator()
-        self._validators["dividerwidth"] = v_yaxis.DividerwidthValidator()
-        self._validators["domain"] = v_yaxis.DomainValidator()
-        self._validators["dtick"] = v_yaxis.DtickValidator()
-        self._validators["exponentformat"] = v_yaxis.ExponentformatValidator()
-        self._validators["fixedrange"] = v_yaxis.FixedrangeValidator()
-        self._validators["gridcolor"] = v_yaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_yaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_yaxis.HoverformatValidator()
-        self._validators["layer"] = v_yaxis.LayerValidator()
-        self._validators["linecolor"] = v_yaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_yaxis.LinewidthValidator()
-        self._validators["matches"] = v_yaxis.MatchesValidator()
-        self._validators["mirror"] = v_yaxis.MirrorValidator()
-        self._validators["nticks"] = v_yaxis.NticksValidator()
-        self._validators["overlaying"] = v_yaxis.OverlayingValidator()
-        self._validators["position"] = v_yaxis.PositionValidator()
-        self._validators["range"] = v_yaxis.RangeValidator()
-        self._validators["rangebreaks"] = v_yaxis.RangebreaksValidator()
-        self._validators["rangebreakdefaults"] = v_yaxis.RangebreakValidator()
-        self._validators["rangemode"] = v_yaxis.RangemodeValidator()
-        self._validators["scaleanchor"] = v_yaxis.ScaleanchorValidator()
-        self._validators["scaleratio"] = v_yaxis.ScaleratioValidator()
-        self._validators["separatethousands"] = v_yaxis.SeparatethousandsValidator()
-        self._validators["showdividers"] = v_yaxis.ShowdividersValidator()
-        self._validators["showexponent"] = v_yaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_yaxis.ShowgridValidator()
-        self._validators["showline"] = v_yaxis.ShowlineValidator()
-        self._validators["showspikes"] = v_yaxis.ShowspikesValidator()
-        self._validators["showticklabels"] = v_yaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_yaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_yaxis.ShowticksuffixValidator()
-        self._validators["side"] = v_yaxis.SideValidator()
-        self._validators["spikecolor"] = v_yaxis.SpikecolorValidator()
-        self._validators["spikedash"] = v_yaxis.SpikedashValidator()
-        self._validators["spikemode"] = v_yaxis.SpikemodeValidator()
-        self._validators["spikesnap"] = v_yaxis.SpikesnapValidator()
-        self._validators["spikethickness"] = v_yaxis.SpikethicknessValidator()
-        self._validators["tick0"] = v_yaxis.Tick0Validator()
-        self._validators["tickangle"] = v_yaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_yaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_yaxis.TickfontValidator()
-        self._validators["tickformat"] = v_yaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_yaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_yaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_yaxis.TicklenValidator()
-        self._validators["tickmode"] = v_yaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_yaxis.TickprefixValidator()
-        self._validators["ticks"] = v_yaxis.TicksValidator()
-        self._validators["tickson"] = v_yaxis.TicksonValidator()
-        self._validators["ticksuffix"] = v_yaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_yaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_yaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_yaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_yaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_yaxis.TickwidthValidator()
-        self._validators["title"] = v_yaxis.TitleValidator()
-        self._validators["type"] = v_yaxis.TypeValidator()
-        self._validators["uirevision"] = v_yaxis.UirevisionValidator()
-        self._validators["visible"] = v_yaxis.VisibleValidator()
-        self._validators["zeroline"] = v_yaxis.ZerolineValidator()
-        self._validators["zerolinecolor"] = v_yaxis.ZerolinecolorValidator()
-        self._validators["zerolinewidth"] = v_yaxis.ZerolinewidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("anchor", None)
-        self["anchor"] = anchor if anchor is not None else _v
-        _v = arg.pop("automargin", None)
-        self["automargin"] = automargin if automargin is not None else _v
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("constrain", None)
-        self["constrain"] = constrain if constrain is not None else _v
-        _v = arg.pop("constraintoward", None)
-        self["constraintoward"] = constraintoward if constraintoward is not None else _v
-        _v = arg.pop("dividercolor", None)
-        self["dividercolor"] = dividercolor if dividercolor is not None else _v
-        _v = arg.pop("dividerwidth", None)
-        self["dividerwidth"] = dividerwidth if dividerwidth is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("fixedrange", None)
-        self["fixedrange"] = fixedrange if fixedrange is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("matches", None)
-        self["matches"] = matches if matches is not None else _v
-        _v = arg.pop("mirror", None)
-        self["mirror"] = mirror if mirror is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("overlaying", None)
-        self["overlaying"] = overlaying if overlaying is not None else _v
-        _v = arg.pop("position", None)
-        self["position"] = position if position is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangebreaks", None)
-        self["rangebreaks"] = rangebreaks if rangebreaks is not None else _v
-        _v = arg.pop("rangebreakdefaults", None)
-        self["rangebreakdefaults"] = (
-            rangebreakdefaults if rangebreakdefaults is not None else _v
-        )
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("scaleanchor", None)
-        self["scaleanchor"] = scaleanchor if scaleanchor is not None else _v
-        _v = arg.pop("scaleratio", None)
-        self["scaleratio"] = scaleratio if scaleratio is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showdividers", None)
-        self["showdividers"] = showdividers if showdividers is not None else _v
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showspikes", None)
-        self["showspikes"] = showspikes if showspikes is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("spikecolor", None)
-        self["spikecolor"] = spikecolor if spikecolor is not None else _v
-        _v = arg.pop("spikedash", None)
-        self["spikedash"] = spikedash if spikedash is not None else _v
-        _v = arg.pop("spikemode", None)
-        self["spikemode"] = spikemode if spikemode is not None else _v
-        _v = arg.pop("spikesnap", None)
-        self["spikesnap"] = spikesnap if spikesnap is not None else _v
-        _v = arg.pop("spikethickness", None)
-        self["spikethickness"] = spikethickness if spikethickness is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("tickson", None)
-        self["tickson"] = tickson if tickson is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("zeroline", None)
-        self["zeroline"] = zeroline if zeroline is not None else _v
-        _v = arg.pop("zerolinecolor", None)
-        self["zerolinecolor"] = zerolinecolor if zerolinecolor is not None else _v
-        _v = arg.pop("zerolinewidth", None)
-        self["zerolinewidth"] = zerolinewidth if zerolinewidth is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class XAxis(_BaseLayoutHierarchyType):
-
-    # anchor
-    # ------
-    @property
-    def anchor(self):
-        """
-        If set to an opposite-letter axis id (e.g. `x2`, `y`), this
-        axis is bound to the corresponding opposite-letter axis. If set
-        to "free", this axis' position is determined by `position`.
-    
-        The 'anchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['free']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["anchor"]
-
-    @anchor.setter
-    def anchor(self, val):
-        self["anchor"] = val
-
-    # automargin
-    # ----------
-    @property
-    def automargin(self):
-        """
-        Determines whether long tick labels automatically grow the
-        figure margins.
-    
-        The 'automargin' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["automargin"]
-
-    @automargin.setter
-    def automargin(self, val):
-        self["automargin"] = val
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the calendar system to use for `range` and `tick0` if this
-        is a date axis. This does not set the calendar for interpreting
-        data on this axis, that's specified in the trace or via the
-        global `layout.calendar`
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # constrain
-    # ---------
-    @property
-    def constrain(self):
-        """
-        If this axis needs to be compressed (either due to its own
-        `scaleanchor` and `scaleratio` or those of the other axis),
-        determines how that happens: by increasing the "range"
-        (default), or by decreasing the "domain".
-    
-        The 'constrain' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['range', 'domain']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constrain"]
-
-    @constrain.setter
-    def constrain(self, val):
-        self["constrain"] = val
-
-    # constraintoward
-    # ---------------
-    @property
-    def constraintoward(self):
-        """
-        If this axis needs to be compressed (either due to its own
-        `scaleanchor` and `scaleratio` or those of the other axis),
-        determines which direction we push the originally specified
-        plot area. Options are "left", "center" (default), and "right"
-        for x axes, and "top", "middle" (default), and "bottom" for y
-        axes.
-    
-        The 'constraintoward' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["constraintoward"]
-
-    @constraintoward.setter
-    def constraintoward(self, val):
-        self["constraintoward"] = val
-
-    # dividercolor
-    # ------------
-    @property
-    def dividercolor(self):
-        """
-        Sets the color of the dividers Only has an effect on
-        "multicategory" axes.
-    
-        The 'dividercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["dividercolor"]
-
-    @dividercolor.setter
-    def dividercolor(self, val):
-        self["dividercolor"] = val
-
-    # dividerwidth
-    # ------------
-    @property
-    def dividerwidth(self):
-        """
-        Sets the width (in px) of the dividers Only has an effect on
-        "multicategory" axes.
-    
-        The 'dividerwidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dividerwidth"]
-
-    @dividerwidth.setter
-    def dividerwidth(self, val):
-        self["dividerwidth"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        Sets the domain of this axis (in plot fraction).
-    
-        The 'domain' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'domain[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'domain[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # fixedrange
-    # ----------
-    @property
-    def fixedrange(self):
-        """
-        Determines whether or not this axis is zoom-able. If true, then
-        zoom is disabled.
-    
-        The 'fixedrange' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["fixedrange"]
-
-    @fixedrange.setter
-    def fixedrange(self, val):
-        self["fixedrange"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # matches
-    # -------
-    @property
-    def matches(self):
-        """
-        If set to another axis id (e.g. `x2`, `y`), the range of this
-        axis will match the range of the corresponding axis in data-
-        coordinates space. Moreover, matching axes share auto-range
-        values, category lists and histogram auto-bins. Note that
-        setting axes simultaneously in both a `scaleanchor` and a
-        `matches` constraint is currently forbidden. Moreover, note
-        that matching axes must have the same `type`.
-    
-        The 'matches' property is an enumeration that may be specified as:
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["matches"]
-
-    @matches.setter
-    def matches(self, val):
-        self["matches"] = val
-
-    # mirror
-    # ------
-    @property
-    def mirror(self):
-        """
-        Determines if the axis lines or/and ticks are mirrored to the
-        opposite side of the plotting area. If True, the axis lines are
-        mirrored. If "ticks", the axis lines and ticks are mirrored. If
-        False, mirroring is disable. If "all", axis lines are mirrored
-        on all shared-axes subplots. If "allticks", axis lines and
-        ticks are mirrored on all shared-axes subplots.
-    
-        The 'mirror' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, 'ticks', False, 'all', 'allticks']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mirror"]
-
-    @mirror.setter
-    def mirror(self, val):
-        self["mirror"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # overlaying
-    # ----------
-    @property
-    def overlaying(self):
-        """
-        If set a same-letter axis id, this axis is overlaid on top of
-        the corresponding same-letter axis, with traces and axes
-        visible for both axes. If False, this axis does not overlay any
-        same-letter axes. In this case, for axes with overlapping
-        domains only the highest-numbered axis will be visible.
-    
-        The 'overlaying' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['free']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["overlaying"]
-
-    @overlaying.setter
-    def overlaying(self, val):
-        self["overlaying"] = val
-
-    # position
-    # --------
-    @property
-    def position(self):
-        """
-        Sets the position of this axis in the plotting space (in
-        normalized coordinates). Only has an effect if `anchor` is set
-        to "free".
-    
-        The 'position' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["position"]
-
-    @position.setter
-    def position(self, val):
-        self["position"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangebreaks
-    # -----------
-    @property
-    def rangebreaks(self):
-        """
-        The 'rangebreaks' property is a tuple of instances of
-        Rangebreak that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.xaxis.Rangebreak
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Rangebreak constructor
-    
-            Supported dict properties:
-                
-                bounds
-                    Sets the lower and upper bounds of this axis
-                    rangebreak. Can be used with `pattern`.
-                dvalue
-                    Sets the size of each `values` item. The
-                    default is one day in milliseconds.
-                enabled
-                    Determines whether this axis rangebreak is
-                    enabled or disabled. Please note that
-                    `rangebreaks` only work for "date" axis type.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                pattern
-                    Determines a pattern on the time line that
-                    generates breaks. If *day of week* - days of
-                    the week in English e.g. 'Sunday' or `sun`
-                    (matching is case-insensitive and considers
-                    only the first three characters), as well as
-                    Sunday-based integers between 0 and 6. If
-                    "hour" - hour (24-hour clock) as decimal
-                    numbers between 0 and 24. for more info.
-                    Examples: - { pattern: 'day of week', bounds:
-                    [6, 1] }  or simply { bounds: ['sat', 'mon'] }
-                    breaks from Saturday to Monday (i.e. skips the
-                    weekends). - { pattern: 'hour', bounds: [17, 8]
-                    }   breaks from 5pm to 8am (i.e. skips non-work
-                    hours).
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                values
-                    Sets the coordinate values corresponding to the
-                    rangebreaks. An alternative to `bounds`. Use
-                    `dvalue` to set the size of the values along
-                    the axis.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.xaxis.Rangebreak]
-        """
-        return self["rangebreaks"]
-
-    @rangebreaks.setter
-    def rangebreaks(self, val):
-        self["rangebreaks"] = val
-
-    # rangebreakdefaults
-    # ------------------
-    @property
-    def rangebreakdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.xaxis.rangebreakdefaults), sets the
-        default property values to use for elements of
-        layout.xaxis.rangebreaks
-    
-        The 'rangebreakdefaults' property is an instance of Rangebreak
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangebreak`
-          - A dict of string/value properties that will be passed
-            to the Rangebreak constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.Rangebreak
-        """
-        return self["rangebreakdefaults"]
-
-    @rangebreakdefaults.setter
-    def rangebreakdefaults(self, val):
-        self["rangebreakdefaults"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data. Applies only to
-        linear axes.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # rangeselector
-    # -------------
-    @property
-    def rangeselector(self):
-        """
-        The 'rangeselector' property is an instance of Rangeselector
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangeselector`
-          - A dict of string/value properties that will be passed
-            to the Rangeselector constructor
-    
-            Supported dict properties:
-                
-                activecolor
-                    Sets the background color of the active range
-                    selector button.
-                bgcolor
-                    Sets the background color of the range selector
-                    buttons.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    range selector.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the range selector.
-                buttons
-                    Sets the specifications for each buttons. By
-                    default, a range selector comes with no
-                    buttons.
-                buttondefaults
-                    When used in a template (as layout.template.lay
-                    out.xaxis.rangeselector.buttondefaults), sets
-                    the default property values to use for elements
-                    of layout.xaxis.rangeselector.buttons
-                font
-                    Sets the font of the range selector button
-                    text.
-                visible
-                    Determines whether or not this range selector
-                    is visible. Note that range selectors are only
-                    available for x axes of `type` set to or auto-
-                    typed to "date".
-                x
-                    Sets the x position (in normalized coordinates)
-                    of the range selector.
-                xanchor
-                    Sets the range selector's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the range
-                    selector.
-                y
-                    Sets the y position (in normalized coordinates)
-                    of the range selector.
-                yanchor
-                    Sets the range selector's vertical position
-                    anchor This anchor binds the `y` position to
-                    the "top", "middle" or "bottom" of the range
-                    selector.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.Rangeselector
-        """
-        return self["rangeselector"]
-
-    @rangeselector.setter
-    def rangeselector(self, val):
-        self["rangeselector"] = val
-
-    # rangeslider
-    # -----------
-    @property
-    def rangeslider(self):
-        """
-        The 'rangeslider' property is an instance of Rangeslider
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangeslider`
-          - A dict of string/value properties that will be passed
-            to the Rangeslider constructor
-    
-            Supported dict properties:
-                
-                autorange
-                    Determines whether or not the range slider
-                    range is computed in relation to the input
-                    data. If `range` is provided, then `autorange`
-                    is set to False.
-                bgcolor
-                    Sets the background color of the range slider.
-                bordercolor
-                    Sets the border color of the range slider.
-                borderwidth
-                    Sets the border width of the range slider.
-                range
-                    Sets the range of the range slider. If not set,
-                    defaults to the full xaxis range. If the axis
-                    `type` is "log", then you must take the log of
-                    your desired range. If the axis `type` is
-                    "date", it should be date strings, like date
-                    data, though Date objects and unix milliseconds
-                    will be accepted and converted to strings. If
-                    the axis `type` is "category", it should be
-                    numbers, using the scale where each category is
-                    assigned a serial number from zero in the order
-                    it appears.
-                thickness
-                    The height of the range slider as a fraction of
-                    the total plot area height.
-                visible
-                    Determines whether or not the range slider will
-                    be visible. If visible, perpendicular axes will
-                    be set to `fixedrange`
-                yaxis
-                    :class:`plotly.graph_objects.layout.xaxis.range
-                    slider.YAxis` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.Rangeslider
-        """
-        return self["rangeslider"]
-
-    @rangeslider.setter
-    def rangeslider(self, val):
-        self["rangeslider"] = val
-
-    # scaleanchor
-    # -----------
-    @property
-    def scaleanchor(self):
-        """
-        If set to another axis id (e.g. `x2`, `y`), the range of this
-        axis changes together with the range of the corresponding axis
-        such that the scale of pixels per unit is in a constant ratio.
-        Both axes are still zoomable, but when you zoom one, the other
-        will zoom the same amount, keeping a fixed midpoint.
-        `constrain` and `constraintoward` determine how we enforce the
-        constraint. You can chain these, ie `yaxis: {scaleanchor: *x*},
-        xaxis2: {scaleanchor: *y*}` but you can only link axes of the
-        same `type`. The linked axis can have the opposite letter (to
-        constrain the aspect ratio) or the same letter (to match scales
-        across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
-        {scaleanchor: *y*}` or longer) are redundant and the last
-        constraint encountered will be ignored to avoid possible
-        inconsistent constraints via `scaleratio`. Note that setting
-        axes simultaneously in both a `scaleanchor` and a `matches`
-        constraint is currently forbidden.
-    
-        The 'scaleanchor' property is an enumeration that may be specified as:
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["scaleanchor"]
-
-    @scaleanchor.setter
-    def scaleanchor(self, val):
-        self["scaleanchor"] = val
-
-    # scaleratio
-    # ----------
-    @property
-    def scaleratio(self):
-        """
-        If this axis is linked to another by `scaleanchor`, this
-        determines the pixel to unit scale ratio. For example, if this
-        value is 10, then every unit on this axis spans 10 times the
-        number of pixels as a unit on the linked axis. Use this for
-        example to create an elevation profile where the vertical scale
-        is exaggerated a fixed amount with respect to the horizontal.
-    
-        The 'scaleratio' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["scaleratio"]
-
-    @scaleratio.setter
-    def scaleratio(self, val):
-        self["scaleratio"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showdividers
-    # ------------
-    @property
-    def showdividers(self):
-        """
-        Determines whether or not a dividers are drawn between the
-        category levels of this axis. Only has an effect on
-        "multicategory" axes.
-    
-        The 'showdividers' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showdividers"]
-
-    @showdividers.setter
-    def showdividers(self, val):
-        self["showdividers"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showspikes
-    # ----------
-    @property
-    def showspikes(self):
-        """
-        Determines whether or not spikes (aka droplines) are drawn for
-        this axis. Note: This only takes affect when hovermode =
-        closest
-    
-        The 'showspikes' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showspikes"]
-
-    @showspikes.setter
-    def showspikes(self, val):
-        self["showspikes"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines whether a x (y) axis is positioned at the "bottom"
-        ("left") or "top" ("right") of the plotting area.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'bottom', 'left', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # spikecolor
-    # ----------
-    @property
-    def spikecolor(self):
-        """
-        Sets the spike color. If undefined, will use the series color
-    
-        The 'spikecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["spikecolor"]
-
-    @spikecolor.setter
-    def spikecolor(self, val):
-        self["spikecolor"] = val
-
-    # spikedash
-    # ---------
-    @property
-    def spikedash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'spikedash' property is a string and must be specified as:
-          - One of the following strings:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["spikedash"]
-
-    @spikedash.setter
-    def spikedash(self, val):
-        self["spikedash"] = val
-
-    # spikemode
-    # ---------
-    @property
-    def spikemode(self):
-        """
-        Determines the drawing mode for the spike line If "toaxis", the
-        line is drawn from the data point to the axis the  series is
-        plotted on. If "across", the line is drawn across the entire
-        plot area, and supercedes "toaxis". If "marker", then a marker
-        dot is drawn on the axis the series is plotted on
-    
-        The 'spikemode' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['toaxis', 'across', 'marker'] joined with '+' characters
-            (e.g. 'toaxis+across')
-
-        Returns
-        -------
-        Any
-        """
-        return self["spikemode"]
-
-    @spikemode.setter
-    def spikemode(self, val):
-        self["spikemode"] = val
-
-    # spikesnap
-    # ---------
-    @property
-    def spikesnap(self):
-        """
-        Determines whether spikelines are stuck to the cursor or to the
-        closest datapoints.
-    
-        The 'spikesnap' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['data', 'cursor', 'hovered data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["spikesnap"]
-
-    @spikesnap.setter
-    def spikesnap(self, val):
-        self["spikesnap"] = val
-
-    # spikethickness
-    # --------------
-    @property
-    def spikethickness(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'spikethickness' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["spikethickness"]
-
-    @spikethickness.setter
-    def spikethickness(self, val):
-        self["spikethickness"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.xaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.xaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.xaxis.tickformatstopdefaults), sets the
-        default property values to use for elements of
-        layout.xaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # tickson
-    # -------
-    @property
-    def tickson(self):
-        """
-        Determines where ticks and grid lines are drawn with respect to
-        their corresponding tick labels. Only has an effect for axes of
-        `type` "category" or "multicategory". When set to "boundaries",
-        ticks and grid lines are drawn half a category to the
-        left/bottom of labels.
-    
-        The 'tickson' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['labels', 'boundaries']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickson"]
-
-    @tickson.setter
-    def tickson(self, val):
-        self["tickson"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                standoff
-                    Sets the standoff distance (in px) between the
-                    axis labels and the title text The default
-                    value is a function of the axis tick labels,
-                    the title `font.size` and the axis `linewidth`.
-                    Note that the axis title position is always
-                    constrained within the margins, so the actual
-                    standoff distance is always less than the set
-                    or default value. By setting `standoff` and
-                    turning on `automargin`, plotly.js will push
-                    the margins to fit the axis title at given
-                    standoff distance.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.xaxis.title.font instead. Sets
-        this axis' title font. Note that the title's font used to be
-        customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'log', 'date', 'category',
-                'multicategory']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `range`,
-        `autorange`, and `title` if in `editable: true` configuration.
-        Defaults to `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # zeroline
-    # --------
-    @property
-    def zeroline(self):
-        """
-        Determines whether or not a line is drawn at along the 0 value
-        of this axis. If True, the zero line is drawn on top of the
-        grid lines.
-    
-        The 'zeroline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zeroline"]
-
-    @zeroline.setter
-    def zeroline(self, val):
-        self["zeroline"] = val
-
-    # zerolinecolor
-    # -------------
-    @property
-    def zerolinecolor(self):
-        """
-        Sets the line color of the zero line.
-    
-        The 'zerolinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["zerolinecolor"]
-
-    @zerolinecolor.setter
-    def zerolinecolor(self, val):
-        self["zerolinecolor"] = val
-
-    # zerolinewidth
-    # -------------
-    @property
-    def zerolinewidth(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'zerolinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zerolinewidth"]
-
-    @zerolinewidth.setter
-    def zerolinewidth(self, val):
-        self["zerolinewidth"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        anchor
-            If set to an opposite-letter axis id (e.g. `x2`, `y`),
-            this axis is bound to the corresponding opposite-letter
-            axis. If set to "free", this axis' position is
-            determined by `position`.
-        automargin
-            Determines whether long tick labels automatically grow
-            the figure margins.
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        constrain
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines how that happens: by increasing
-            the "range" (default), or by decreasing the "domain".
-        constraintoward
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines which direction we push the
-            originally specified plot area. Options are "left",
-            "center" (default), and "right" for x axes, and "top",
-            "middle" (default), and "bottom" for y axes.
-        dividercolor
-            Sets the color of the dividers Only has an effect on
-            "multicategory" axes.
-        dividerwidth
-            Sets the width (in px) of the dividers Only has an
-            effect on "multicategory" axes.
-        domain
-            Sets the domain of this axis (in plot fraction).
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        matches
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis will match the range of the corresponding
-            axis in data-coordinates space. Moreover, matching axes
-            share auto-range values, category lists and histogram
-            auto-bins. Note that setting axes simultaneously in
-            both a `scaleanchor` and a `matches` constraint is
-            currently forbidden. Moreover, note that matching axes
-            must have the same `type`.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        overlaying
-            If set a same-letter axis id, this axis is overlaid on
-            top of the corresponding same-letter axis, with traces
-            and axes visible for both axes. If False, this axis
-            does not overlay any same-letter axes. In this case,
-            for axes with overlapping domains only the highest-
-            numbered axis will be visible.
-        position
-            Sets the position of this axis in the plotting space
-            (in normalized coordinates). Only has an effect if
-            `anchor` is set to "free".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangebreaks
-            A tuple of
-            :class:`plotly.graph_objects.layout.xaxis.Rangebreak`
-            instances or dicts with compatible properties
-        rangebreakdefaults
-            When used in a template (as
-            layout.template.layout.xaxis.rangebreakdefaults), sets
-            the default property values to use for elements of
-            layout.xaxis.rangebreaks
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        rangeselector
-            :class:`plotly.graph_objects.layout.xaxis.Rangeselector
-            ` instance or dict with compatible properties
-        rangeslider
-            :class:`plotly.graph_objects.layout.xaxis.Rangeslider`
-            instance or dict with compatible properties
-        scaleanchor
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis changes together with the range of the
-            corresponding axis such that the scale of pixels per
-            unit is in a constant ratio. Both axes are still
-            zoomable, but when you zoom one, the other will zoom
-            the same amount, keeping a fixed midpoint. `constrain`
-            and `constraintoward` determine how we enforce the
-            constraint. You can chain these, ie `yaxis:
-            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
-            can only link axes of the same `type`. The linked axis
-            can have the opposite letter (to constrain the aspect
-            ratio) or the same letter (to match scales across
-            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
-            {scaleanchor: *y*}` or longer) are redundant and the
-            last constraint encountered will be ignored to avoid
-            possible inconsistent constraints via `scaleratio`.
-            Note that setting axes simultaneously in both a
-            `scaleanchor` and a `matches` constraint is currently
-            forbidden.
-        scaleratio
-            If this axis is linked to another by `scaleanchor`,
-            this determines the pixel to unit scale ratio. For
-            example, if this value is 10, then every unit on this
-            axis spans 10 times the number of pixels as a unit on
-            the linked axis. Use this for example to create an
-            elevation profile where the vertical scale is
-            exaggerated a fixed amount with respect to the
-            horizontal.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showdividers
-            Determines whether or not a dividers are drawn between
-            the category levels of this axis. Only has an effect on
-            "multicategory" axes.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Determines whether or not spikes (aka droplines) are
-            drawn for this axis. Note: This only takes affect when
-            hovermode = closest
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        side
-            Determines whether a x (y) axis is positioned at the
-            "bottom" ("left") or "top" ("right") of the plotting
-            area.
-        spikecolor
-            Sets the spike color. If undefined, will use the series
-            color
-        spikedash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        spikemode
-            Determines the drawing mode for the spike line If
-            "toaxis", the line is drawn from the data point to the
-            axis the  series is plotted on. If "across", the line
-            is drawn across the entire plot area, and supercedes
-            "toaxis". If "marker", then a marker dot is drawn on
-            the axis the series is plotted on
-        spikesnap
-            Determines whether spikelines are stuck to the cursor
-            or to the closest datapoints.
-        spikethickness
-            Sets the width (in px) of the zero line.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.xaxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as
-            layout.template.layout.xaxis.tickformatstopdefaults),
-            sets the default property values to use for elements of
-            layout.xaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        tickson
-            Determines where ticks and grid lines are drawn with
-            respect to their corresponding tick labels. Only has an
-            effect for axes of `type` "category" or
-            "multicategory". When set to "boundaries", ticks and
-            grid lines are drawn half a category to the left/bottom
-            of labels.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.xaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.xaxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `range`, `autorange`, and `title` if in `editable:
-            true` configuration. Defaults to `layout.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        anchor=None,
-        automargin=None,
-        autorange=None,
-        calendar=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        constrain=None,
-        constraintoward=None,
-        dividercolor=None,
-        dividerwidth=None,
-        domain=None,
-        dtick=None,
-        exponentformat=None,
-        fixedrange=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        matches=None,
-        mirror=None,
-        nticks=None,
-        overlaying=None,
-        position=None,
-        range=None,
-        rangebreaks=None,
-        rangebreakdefaults=None,
-        rangemode=None,
-        rangeselector=None,
-        rangeslider=None,
-        scaleanchor=None,
-        scaleratio=None,
-        separatethousands=None,
-        showdividers=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showspikes=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        side=None,
-        spikecolor=None,
-        spikedash=None,
-        spikemode=None,
-        spikesnap=None,
-        spikethickness=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        tickson=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        type=None,
-        uirevision=None,
-        visible=None,
-        zeroline=None,
-        zerolinecolor=None,
-        zerolinewidth=None,
-        **kwargs
-    ):
-        """
-        Construct a new XAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.XAxis`
-        anchor
-            If set to an opposite-letter axis id (e.g. `x2`, `y`),
-            this axis is bound to the corresponding opposite-letter
-            axis. If set to "free", this axis' position is
-            determined by `position`.
-        automargin
-            Determines whether long tick labels automatically grow
-            the figure margins.
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        constrain
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines how that happens: by increasing
-            the "range" (default), or by decreasing the "domain".
-        constraintoward
-            If this axis needs to be compressed (either due to its
-            own `scaleanchor` and `scaleratio` or those of the
-            other axis), determines which direction we push the
-            originally specified plot area. Options are "left",
-            "center" (default), and "right" for x axes, and "top",
-            "middle" (default), and "bottom" for y axes.
-        dividercolor
-            Sets the color of the dividers Only has an effect on
-            "multicategory" axes.
-        dividerwidth
-            Sets the width (in px) of the dividers Only has an
-            effect on "multicategory" axes.
-        domain
-            Sets the domain of this axis (in plot fraction).
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        fixedrange
-            Determines whether or not this axis is zoom-able. If
-            true, then zoom is disabled.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        matches
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis will match the range of the corresponding
-            axis in data-coordinates space. Moreover, matching axes
-            share auto-range values, category lists and histogram
-            auto-bins. Note that setting axes simultaneously in
-            both a `scaleanchor` and a `matches` constraint is
-            currently forbidden. Moreover, note that matching axes
-            must have the same `type`.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        overlaying
-            If set a same-letter axis id, this axis is overlaid on
-            top of the corresponding same-letter axis, with traces
-            and axes visible for both axes. If False, this axis
-            does not overlay any same-letter axes. In this case,
-            for axes with overlapping domains only the highest-
-            numbered axis will be visible.
-        position
-            Sets the position of this axis in the plotting space
-            (in normalized coordinates). Only has an effect if
-            `anchor` is set to "free".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangebreaks
-            A tuple of
-            :class:`plotly.graph_objects.layout.xaxis.Rangebreak`
-            instances or dicts with compatible properties
-        rangebreakdefaults
-            When used in a template (as
-            layout.template.layout.xaxis.rangebreakdefaults), sets
-            the default property values to use for elements of
-            layout.xaxis.rangebreaks
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        rangeselector
-            :class:`plotly.graph_objects.layout.xaxis.Rangeselector
-            ` instance or dict with compatible properties
-        rangeslider
-            :class:`plotly.graph_objects.layout.xaxis.Rangeslider`
-            instance or dict with compatible properties
-        scaleanchor
-            If set to another axis id (e.g. `x2`, `y`), the range
-            of this axis changes together with the range of the
-            corresponding axis such that the scale of pixels per
-            unit is in a constant ratio. Both axes are still
-            zoomable, but when you zoom one, the other will zoom
-            the same amount, keeping a fixed midpoint. `constrain`
-            and `constraintoward` determine how we enforce the
-            constraint. You can chain these, ie `yaxis:
-            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
-            can only link axes of the same `type`. The linked axis
-            can have the opposite letter (to constrain the aspect
-            ratio) or the same letter (to match scales across
-            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
-            {scaleanchor: *y*}` or longer) are redundant and the
-            last constraint encountered will be ignored to avoid
-            possible inconsistent constraints via `scaleratio`.
-            Note that setting axes simultaneously in both a
-            `scaleanchor` and a `matches` constraint is currently
-            forbidden.
-        scaleratio
-            If this axis is linked to another by `scaleanchor`,
-            this determines the pixel to unit scale ratio. For
-            example, if this value is 10, then every unit on this
-            axis spans 10 times the number of pixels as a unit on
-            the linked axis. Use this for example to create an
-            elevation profile where the vertical scale is
-            exaggerated a fixed amount with respect to the
-            horizontal.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showdividers
-            Determines whether or not a dividers are drawn between
-            the category levels of this axis. Only has an effect on
-            "multicategory" axes.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Determines whether or not spikes (aka droplines) are
-            drawn for this axis. Note: This only takes affect when
-            hovermode = closest
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        side
-            Determines whether a x (y) axis is positioned at the
-            "bottom" ("left") or "top" ("right") of the plotting
-            area.
-        spikecolor
-            Sets the spike color. If undefined, will use the series
-            color
-        spikedash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        spikemode
-            Determines the drawing mode for the spike line If
-            "toaxis", the line is drawn from the data point to the
-            axis the  series is plotted on. If "across", the line
-            is drawn across the entire plot area, and supercedes
-            "toaxis". If "marker", then a marker dot is drawn on
-            the axis the series is plotted on
-        spikesnap
-            Determines whether spikelines are stuck to the cursor
-            or to the closest datapoints.
-        spikethickness
-            Sets the width (in px) of the zero line.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.xaxis.Ti
-            ckformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as
-            layout.template.layout.xaxis.tickformatstopdefaults),
-            sets the default property values to use for elements of
-            layout.xaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        tickson
-            Determines where ticks and grid lines are drawn with
-            respect to their corresponding tick labels. Only has an
-            effect for axes of `type` "category" or
-            "multicategory". When set to "boundaries", ticks and
-            grid lines are drawn half a category to the left/bottom
-            of labels.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.xaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.xaxis.title.font instead.
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `range`, `autorange`, and `title` if in `editable:
-            true` configuration. Defaults to `layout.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        XAxis
-        """
-        super(XAxis, self).__init__("xaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.XAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.XAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import xaxis as v_xaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["anchor"] = v_xaxis.AnchorValidator()
-        self._validators["automargin"] = v_xaxis.AutomarginValidator()
-        self._validators["autorange"] = v_xaxis.AutorangeValidator()
-        self._validators["calendar"] = v_xaxis.CalendarValidator()
-        self._validators["categoryarray"] = v_xaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_xaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_xaxis.CategoryorderValidator()
-        self._validators["color"] = v_xaxis.ColorValidator()
-        self._validators["constrain"] = v_xaxis.ConstrainValidator()
-        self._validators["constraintoward"] = v_xaxis.ConstraintowardValidator()
-        self._validators["dividercolor"] = v_xaxis.DividercolorValidator()
-        self._validators["dividerwidth"] = v_xaxis.DividerwidthValidator()
-        self._validators["domain"] = v_xaxis.DomainValidator()
-        self._validators["dtick"] = v_xaxis.DtickValidator()
-        self._validators["exponentformat"] = v_xaxis.ExponentformatValidator()
-        self._validators["fixedrange"] = v_xaxis.FixedrangeValidator()
-        self._validators["gridcolor"] = v_xaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_xaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_xaxis.HoverformatValidator()
-        self._validators["layer"] = v_xaxis.LayerValidator()
-        self._validators["linecolor"] = v_xaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_xaxis.LinewidthValidator()
-        self._validators["matches"] = v_xaxis.MatchesValidator()
-        self._validators["mirror"] = v_xaxis.MirrorValidator()
-        self._validators["nticks"] = v_xaxis.NticksValidator()
-        self._validators["overlaying"] = v_xaxis.OverlayingValidator()
-        self._validators["position"] = v_xaxis.PositionValidator()
-        self._validators["range"] = v_xaxis.RangeValidator()
-        self._validators["rangebreaks"] = v_xaxis.RangebreaksValidator()
-        self._validators["rangebreakdefaults"] = v_xaxis.RangebreakValidator()
-        self._validators["rangemode"] = v_xaxis.RangemodeValidator()
-        self._validators["rangeselector"] = v_xaxis.RangeselectorValidator()
-        self._validators["rangeslider"] = v_xaxis.RangesliderValidator()
-        self._validators["scaleanchor"] = v_xaxis.ScaleanchorValidator()
-        self._validators["scaleratio"] = v_xaxis.ScaleratioValidator()
-        self._validators["separatethousands"] = v_xaxis.SeparatethousandsValidator()
-        self._validators["showdividers"] = v_xaxis.ShowdividersValidator()
-        self._validators["showexponent"] = v_xaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_xaxis.ShowgridValidator()
-        self._validators["showline"] = v_xaxis.ShowlineValidator()
-        self._validators["showspikes"] = v_xaxis.ShowspikesValidator()
-        self._validators["showticklabels"] = v_xaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_xaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_xaxis.ShowticksuffixValidator()
-        self._validators["side"] = v_xaxis.SideValidator()
-        self._validators["spikecolor"] = v_xaxis.SpikecolorValidator()
-        self._validators["spikedash"] = v_xaxis.SpikedashValidator()
-        self._validators["spikemode"] = v_xaxis.SpikemodeValidator()
-        self._validators["spikesnap"] = v_xaxis.SpikesnapValidator()
-        self._validators["spikethickness"] = v_xaxis.SpikethicknessValidator()
-        self._validators["tick0"] = v_xaxis.Tick0Validator()
-        self._validators["tickangle"] = v_xaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_xaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_xaxis.TickfontValidator()
-        self._validators["tickformat"] = v_xaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_xaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_xaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_xaxis.TicklenValidator()
-        self._validators["tickmode"] = v_xaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_xaxis.TickprefixValidator()
-        self._validators["ticks"] = v_xaxis.TicksValidator()
-        self._validators["tickson"] = v_xaxis.TicksonValidator()
-        self._validators["ticksuffix"] = v_xaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_xaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_xaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_xaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_xaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_xaxis.TickwidthValidator()
-        self._validators["title"] = v_xaxis.TitleValidator()
-        self._validators["type"] = v_xaxis.TypeValidator()
-        self._validators["uirevision"] = v_xaxis.UirevisionValidator()
-        self._validators["visible"] = v_xaxis.VisibleValidator()
-        self._validators["zeroline"] = v_xaxis.ZerolineValidator()
-        self._validators["zerolinecolor"] = v_xaxis.ZerolinecolorValidator()
-        self._validators["zerolinewidth"] = v_xaxis.ZerolinewidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("anchor", None)
-        self["anchor"] = anchor if anchor is not None else _v
-        _v = arg.pop("automargin", None)
-        self["automargin"] = automargin if automargin is not None else _v
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("constrain", None)
-        self["constrain"] = constrain if constrain is not None else _v
-        _v = arg.pop("constraintoward", None)
-        self["constraintoward"] = constraintoward if constraintoward is not None else _v
-        _v = arg.pop("dividercolor", None)
-        self["dividercolor"] = dividercolor if dividercolor is not None else _v
-        _v = arg.pop("dividerwidth", None)
-        self["dividerwidth"] = dividerwidth if dividerwidth is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("fixedrange", None)
-        self["fixedrange"] = fixedrange if fixedrange is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("matches", None)
-        self["matches"] = matches if matches is not None else _v
-        _v = arg.pop("mirror", None)
-        self["mirror"] = mirror if mirror is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("overlaying", None)
-        self["overlaying"] = overlaying if overlaying is not None else _v
-        _v = arg.pop("position", None)
-        self["position"] = position if position is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangebreaks", None)
-        self["rangebreaks"] = rangebreaks if rangebreaks is not None else _v
-        _v = arg.pop("rangebreakdefaults", None)
-        self["rangebreakdefaults"] = (
-            rangebreakdefaults if rangebreakdefaults is not None else _v
-        )
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("rangeselector", None)
-        self["rangeselector"] = rangeselector if rangeselector is not None else _v
-        _v = arg.pop("rangeslider", None)
-        self["rangeslider"] = rangeslider if rangeslider is not None else _v
-        _v = arg.pop("scaleanchor", None)
-        self["scaleanchor"] = scaleanchor if scaleanchor is not None else _v
-        _v = arg.pop("scaleratio", None)
-        self["scaleratio"] = scaleratio if scaleratio is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showdividers", None)
-        self["showdividers"] = showdividers if showdividers is not None else _v
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showspikes", None)
-        self["showspikes"] = showspikes if showspikes is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("spikecolor", None)
-        self["spikecolor"] = spikecolor if spikecolor is not None else _v
-        _v = arg.pop("spikedash", None)
-        self["spikedash"] = spikedash if spikedash is not None else _v
-        _v = arg.pop("spikemode", None)
-        self["spikemode"] = spikemode if spikemode is not None else _v
-        _v = arg.pop("spikesnap", None)
-        self["spikesnap"] = spikesnap if spikesnap is not None else _v
-        _v = arg.pop("spikethickness", None)
-        self["spikethickness"] = spikethickness if spikethickness is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("tickson", None)
-        self["tickson"] = tickson if tickson is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("zeroline", None)
-        self["zeroline"] = zeroline if zeroline is not None else _v
-        _v = arg.pop("zerolinecolor", None)
-        self["zerolinecolor"] = zerolinecolor if zerolinecolor is not None else _v
-        _v = arg.pop("zerolinewidth", None)
-        self["zerolinewidth"] = zerolinewidth if zerolinewidth is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Updatemenu(_BaseLayoutHierarchyType):
-
-    # active
-    # ------
-    @property
-    def active(self):
-        """
-        Determines which button (by index starting from 0) is
-        considered active.
-    
-        The 'active' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["active"]
-
-    @active.setter
-    def active(self, val):
-        self["active"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the update menu buttons.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the update menu.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the update menu.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # buttons
-    # -------
-    @property
-    def buttons(self):
-        """
-        The 'buttons' property is a tuple of instances of
-        Button that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.updatemenu.Button
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Button constructor
-    
-            Supported dict properties:
-                
-                args
-                    Sets the arguments values to be passed to the
-                    Plotly method set in `method` on click.
-                args2
-                    Sets a 2nd set of `args`, these arguments
-                    values are passed to the Plotly method set in
-                    `method` when clicking this button while in the
-                    active state. Use this to create toggle
-                    buttons.
-                execute
-                    When true, the API method is executed. When
-                    false, all other behaviors are the same and
-                    command execution is skipped. This may be
-                    useful when hooking into, for example, the
-                    `plotly_buttonclicked` method and executing the
-                    API command manually without losing the benefit
-                    of the updatemenu automatically binding to the
-                    state of the plot through the specification of
-                    `method` and `args`.
-                label
-                    Sets the text label to appear on the button.
-                method
-                    Sets the Plotly method to be called on click.
-                    If the `skip` method is used, the API
-                    updatemenu will function as normal but will
-                    perform no API calls and will not bind
-                    automatically to state updates. This may be
-                    used to create a component interface and attach
-                    to updatemenu events manually via JavaScript.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                visible
-                    Determines whether or not this button is
-                    visible.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.updatemenu.Button]
-        """
-        return self["buttons"]
-
-    @buttons.setter
-    def buttons(self, val):
-        self["buttons"] = val
-
-    # buttondefaults
-    # --------------
-    @property
-    def buttondefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.updatemenu.buttondefaults), sets the
-        default property values to use for elements of
-        layout.updatemenu.buttons
-    
-        The 'buttondefaults' property is an instance of Button
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.updatemenu.Button`
-          - A dict of string/value properties that will be passed
-            to the Button constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.updatemenu.Button
-        """
-        return self["buttondefaults"]
-
-    @buttondefaults.setter
-    def buttondefaults(self, val):
-        self["buttondefaults"] = val
-
-    # direction
-    # ---------
-    @property
-    def direction(self):
-        """
-        Determines the direction in which the buttons are laid out,
-        whether in a dropdown menu or a row/column of buttons. For
-        `left` and `up`, the buttons will still appear in left-to-right
-        or top-to-bottom order respectively.
-    
-        The 'direction' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'up', 'down']
-
-        Returns
-        -------
-        Any
-        """
-        return self["direction"]
-
-    @direction.setter
-    def direction(self, val):
-        self["direction"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font of the update menu button text.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.updatemenu.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.updatemenu.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        Sets the padding around the buttons or dropdown menu.
-    
-        The 'pad' property is an instance of Pad
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.updatemenu.Pad`
-          - A dict of string/value properties that will be passed
-            to the Pad constructor
-    
-            Supported dict properties:
-                
-                b
-                    The amount of padding (in px) along the bottom
-                    of the component.
-                l
-                    The amount of padding (in px) on the left side
-                    of the component.
-                r
-                    The amount of padding (in px) on the right side
-                    of the component.
-                t
-                    The amount of padding (in px) along the top of
-                    the component.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.updatemenu.Pad
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # showactive
-    # ----------
-    @property
-    def showactive(self):
-        """
-        Highlights active dropdown item or active button if true.
-    
-        The 'showactive' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showactive"]
-
-    @showactive.setter
-    def showactive(self, val):
-        self["showactive"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines whether the buttons are accessible via a dropdown
-        menu or whether the buttons are stacked horizontally or
-        vertically
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['dropdown', 'buttons']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not the update menu is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position (in normalized coordinates) of the update
-        menu.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the update menu's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the range selector.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position (in normalized coordinates) of the update
-        menu.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the update menu's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the range selector.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        active
-            Determines which button (by index starting from 0) is
-            considered active.
-        bgcolor
-            Sets the background color of the update menu buttons.
-        bordercolor
-            Sets the color of the border enclosing the update menu.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            update menu.
-        buttons
-            A tuple of
-            :class:`plotly.graph_objects.layout.updatemenu.Button`
-            instances or dicts with compatible properties
-        buttondefaults
-            When used in a template (as
-            layout.template.layout.updatemenu.buttondefaults), sets
-            the default property values to use for elements of
-            layout.updatemenu.buttons
-        direction
-            Determines the direction in which the buttons are laid
-            out, whether in a dropdown menu or a row/column of
-            buttons. For `left` and `up`, the buttons will still
-            appear in left-to-right or top-to-bottom order
-            respectively.
-        font
-            Sets the font of the update menu button text.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pad
-            Sets the padding around the buttons or dropdown menu.
-        showactive
-            Highlights active dropdown item or active button if
-            true.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        type
-            Determines whether the buttons are accessible via a
-            dropdown menu or whether the buttons are stacked
-            horizontally or vertically
-        visible
-            Determines whether or not the update menu is visible.
-        x
-            Sets the x position (in normalized coordinates) of the
-            update menu.
-        xanchor
-            Sets the update menu's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the range selector.
-        y
-            Sets the y position (in normalized coordinates) of the
-            update menu.
-        yanchor
-            Sets the update menu's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the range selector.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        active=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        buttons=None,
-        buttondefaults=None,
-        direction=None,
-        font=None,
-        name=None,
-        pad=None,
-        showactive=None,
-        templateitemname=None,
-        type=None,
-        visible=None,
-        x=None,
-        xanchor=None,
-        y=None,
-        yanchor=None,
-        **kwargs
-    ):
-        """
-        Construct a new Updatemenu object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Updatemenu`
-        active
-            Determines which button (by index starting from 0) is
-            considered active.
-        bgcolor
-            Sets the background color of the update menu buttons.
-        bordercolor
-            Sets the color of the border enclosing the update menu.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            update menu.
-        buttons
-            A tuple of
-            :class:`plotly.graph_objects.layout.updatemenu.Button`
-            instances or dicts with compatible properties
-        buttondefaults
-            When used in a template (as
-            layout.template.layout.updatemenu.buttondefaults), sets
-            the default property values to use for elements of
-            layout.updatemenu.buttons
-        direction
-            Determines the direction in which the buttons are laid
-            out, whether in a dropdown menu or a row/column of
-            buttons. For `left` and `up`, the buttons will still
-            appear in left-to-right or top-to-bottom order
-            respectively.
-        font
-            Sets the font of the update menu button text.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pad
-            Sets the padding around the buttons or dropdown menu.
-        showactive
-            Highlights active dropdown item or active button if
-            true.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        type
-            Determines whether the buttons are accessible via a
-            dropdown menu or whether the buttons are stacked
-            horizontally or vertically
-        visible
-            Determines whether or not the update menu is visible.
-        x
-            Sets the x position (in normalized coordinates) of the
-            update menu.
-        xanchor
-            Sets the update menu's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the range selector.
-        y
-            Sets the y position (in normalized coordinates) of the
-            update menu.
-        yanchor
-            Sets the update menu's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the range selector.
-
-        Returns
-        -------
-        Updatemenu
-        """
-        super(Updatemenu, self).__init__("updatemenus")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Updatemenu 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Updatemenu`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import updatemenu as v_updatemenu
-
-        # Initialize validators
-        # ---------------------
-        self._validators["active"] = v_updatemenu.ActiveValidator()
-        self._validators["bgcolor"] = v_updatemenu.BgcolorValidator()
-        self._validators["bordercolor"] = v_updatemenu.BordercolorValidator()
-        self._validators["borderwidth"] = v_updatemenu.BorderwidthValidator()
-        self._validators["buttons"] = v_updatemenu.ButtonsValidator()
-        self._validators["buttondefaults"] = v_updatemenu.ButtonValidator()
-        self._validators["direction"] = v_updatemenu.DirectionValidator()
-        self._validators["font"] = v_updatemenu.FontValidator()
-        self._validators["name"] = v_updatemenu.NameValidator()
-        self._validators["pad"] = v_updatemenu.PadValidator()
-        self._validators["showactive"] = v_updatemenu.ShowactiveValidator()
-        self._validators["templateitemname"] = v_updatemenu.TemplateitemnameValidator()
-        self._validators["type"] = v_updatemenu.TypeValidator()
-        self._validators["visible"] = v_updatemenu.VisibleValidator()
-        self._validators["x"] = v_updatemenu.XValidator()
-        self._validators["xanchor"] = v_updatemenu.XanchorValidator()
-        self._validators["y"] = v_updatemenu.YValidator()
-        self._validators["yanchor"] = v_updatemenu.YanchorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("active", None)
-        self["active"] = active if active is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("buttons", None)
-        self["buttons"] = buttons if buttons is not None else _v
-        _v = arg.pop("buttondefaults", None)
-        self["buttondefaults"] = buttondefaults if buttondefaults is not None else _v
-        _v = arg.pop("direction", None)
-        self["direction"] = direction if direction is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("showactive", None)
-        self["showactive"] = showactive if showactive is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Uniformtext(_BaseLayoutHierarchyType):
-
-    # minsize
-    # -------
-    @property
-    def minsize(self):
-        """
-        Sets the minimum text size between traces of the same type.
-    
-        The 'minsize' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["minsize"]
-
-    @minsize.setter
-    def minsize(self, val):
-        self["minsize"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Determines how the font size for various text elements are
-        uniformed between each trace type. If the computed text sizes
-        were smaller than the minimum size defined by
-        `uniformtext.minsize` using "hide" option hides the text; and
-        using "show" option shows the text without further downscaling.
-        Please note that if the size defined by `minsize` is greater
-        than the font size defined by trace, then the `minsize` is
-        used.
-    
-        The 'mode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [False, 'hide', 'show']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        minsize
-            Sets the minimum text size between traces of the same
-            type.
-        mode
-            Determines how the font size for various text elements
-            are uniformed between each trace type. If the computed
-            text sizes were smaller than the minimum size defined
-            by `uniformtext.minsize` using "hide" option hides the
-            text; and using "show" option shows the text without
-            further downscaling. Please note that if the size
-            defined by `minsize` is greater than the font size
-            defined by trace, then the `minsize` is used.
-        """
-
-    def __init__(self, arg=None, minsize=None, mode=None, **kwargs):
-        """
-        Construct a new Uniformtext object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Uniformtext`
-        minsize
-            Sets the minimum text size between traces of the same
-            type.
-        mode
-            Determines how the font size for various text elements
-            are uniformed between each trace type. If the computed
-            text sizes were smaller than the minimum size defined
-            by `uniformtext.minsize` using "hide" option hides the
-            text; and using "show" option shows the text without
-            further downscaling. Please note that if the size
-            defined by `minsize` is greater than the font size
-            defined by trace, then the `minsize` is used.
-
-        Returns
-        -------
-        Uniformtext
-        """
-        super(Uniformtext, self).__init__("uniformtext")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Uniformtext 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Uniformtext`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import uniformtext as v_uniformtext
-
-        # Initialize validators
-        # ---------------------
-        self._validators["minsize"] = v_uniformtext.MinsizeValidator()
-        self._validators["mode"] = v_uniformtext.ModeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("minsize", None)
-        self["minsize"] = minsize if minsize is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Transition(_BaseLayoutHierarchyType):
-
-    # duration
-    # --------
-    @property
-    def duration(self):
-        """
-        The duration of the transition, in milliseconds. If equal to
-        zero, updates are synchronous.
-    
-        The 'duration' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["duration"]
-
-    @duration.setter
-    def duration(self, val):
-        self["duration"] = val
-
-    # easing
-    # ------
-    @property
-    def easing(self):
-        """
-        The easing function used for the transition
-    
-        The 'easing' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'quad', 'cubic', 'sin', 'exp', 'circle',
-                'elastic', 'back', 'bounce', 'linear-in', 'quad-in',
-                'cubic-in', 'sin-in', 'exp-in', 'circle-in', 'elastic-in',
-                'back-in', 'bounce-in', 'linear-out', 'quad-out',
-                'cubic-out', 'sin-out', 'exp-out', 'circle-out',
-                'elastic-out', 'back-out', 'bounce-out', 'linear-in-out',
-                'quad-in-out', 'cubic-in-out', 'sin-in-out', 'exp-in-out',
-                'circle-in-out', 'elastic-in-out', 'back-in-out',
-                'bounce-in-out']
-
-        Returns
-        -------
-        Any
-        """
-        return self["easing"]
-
-    @easing.setter
-    def easing(self, val):
-        self["easing"] = val
-
-    # ordering
-    # --------
-    @property
-    def ordering(self):
-        """
-        Determines whether the figure's layout or traces smoothly
-        transitions during updates that make both traces and layout
-        change.
-    
-        The 'ordering' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['layout first', 'traces first']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ordering"]
-
-    @ordering.setter
-    def ordering(self, val):
-        self["ordering"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        duration
-            The duration of the transition, in milliseconds. If
-            equal to zero, updates are synchronous.
-        easing
-            The easing function used for the transition
-        ordering
-            Determines whether the figure's layout or traces
-            smoothly transitions during updates that make both
-            traces and layout change.
-        """
-
-    def __init__(self, arg=None, duration=None, easing=None, ordering=None, **kwargs):
-        """
-        Construct a new Transition object
-        
-        Sets transition options used during Plotly.react updates.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Transition`
-        duration
-            The duration of the transition, in milliseconds. If
-            equal to zero, updates are synchronous.
-        easing
-            The easing function used for the transition
-        ordering
-            Determines whether the figure's layout or traces
-            smoothly transitions during updates that make both
-            traces and layout change.
-
-        Returns
-        -------
-        Transition
-        """
-        super(Transition, self).__init__("transition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Transition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Transition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import transition as v_transition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["duration"] = v_transition.DurationValidator()
-        self._validators["easing"] = v_transition.EasingValidator()
-        self._validators["ordering"] = v_transition.OrderingValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("duration", None)
-        self["duration"] = duration if duration is not None else _v
-        _v = arg.pop("easing", None)
-        self["easing"] = easing if easing is not None else _v
-        _v = arg.pop("ordering", None)
-        self["ordering"] = ordering if ordering is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the title font. Note that the title's font used to be
-        customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        Sets the padding of the title. Each padding value only applies
-        when the corresponding `xanchor`/`yanchor` value is set
-        accordingly. E.g. for left padding to take effect, `xanchor`
-        must be set to "left". The same rule applies if
-        `xanchor`/`yanchor` is determined automatically. Padding is
-        muted if the respective anchor value is "middle*/*center".
-    
-        The 'pad' property is an instance of Pad
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.title.Pad`
-          - A dict of string/value properties that will be passed
-            to the Pad constructor
-    
-            Supported dict properties:
-                
-                b
-                    The amount of padding (in px) along the bottom
-                    of the component.
-                l
-                    The amount of padding (in px) on the left side
-                    of the component.
-                r
-                    The amount of padding (in px) on the right side
-                    of the component.
-                t
-                    The amount of padding (in px) along the top of
-                    the component.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.title.Pad
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the plot's title. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position with respect to `xref` in normalized
-        coordinates from 0 (left) to 1 (right).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the title's horizontal alignment with respect to its x
-        position. "left" means that the title starts at x, "right"
-        means that the title ends at x and "center" means that the
-        title's center is at x. "auto" divides `xref` by three and
-        calculates the `xanchor` value automatically based on the value
-        of `x`.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xref
-    # ----
-    @property
-    def xref(self):
-        """
-        Sets the container `x` refers to. "container" spans the entire
-        `width` of the plot. "paper" refers to the width of the
-        plotting area only.
-    
-        The 'xref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['container', 'paper']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xref"]
-
-    @xref.setter
-    def xref(self, val):
-        self["xref"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position with respect to `yref` in normalized
-        coordinates from 0 (bottom) to 1 (top). "auto" places the
-        baseline of the title onto the vertical center of the top
-        margin.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the title's vertical alignment with respect to its y
-        position. "top" means that the title's cap line is at y,
-        "bottom" means that the title's baseline is at y and "middle"
-        means that the title's midline is at y. "auto" divides `yref`
-        by three and calculates the `yanchor` value automatically based
-        on the value of `y`.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # yref
-    # ----
-    @property
-    def yref(self):
-        """
-        Sets the container `y` refers to. "container" spans the entire
-        `height` of the plot. "paper" refers to the height of the
-        plotting area only.
-    
-        The 'yref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['container', 'paper']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yref"]
-
-    @yref.setter
-    def yref(self, val):
-        self["yref"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets the title font. Note that the title's font used to
-            be customized by the now deprecated `titlefont`
-            attribute.
-        pad
-            Sets the padding of the title. Each padding value only
-            applies when the corresponding `xanchor`/`yanchor`
-            value is set accordingly. E.g. for left padding to take
-            effect, `xanchor` must be set to "left". The same rule
-            applies if `xanchor`/`yanchor` is determined
-            automatically. Padding is muted if the respective
-            anchor value is "middle*/*center".
-        text
-            Sets the plot's title. Note that before the existence
-            of `title.text`, the title's contents used to be
-            defined as the `title` attribute itself. This behavior
-            has been deprecated.
-        x
-            Sets the x position with respect to `xref` in
-            normalized coordinates from 0 (left) to 1 (right).
-        xanchor
-            Sets the title's horizontal alignment with respect to
-            its x position. "left" means that the title starts at
-            x, "right" means that the title ends at x and "center"
-            means that the title's center is at x. "auto" divides
-            `xref` by three and calculates the `xanchor` value
-            automatically based on the value of `x`.
-        xref
-            Sets the container `x` refers to. "container" spans the
-            entire `width` of the plot. "paper" refers to the width
-            of the plotting area only.
-        y
-            Sets the y position with respect to `yref` in
-            normalized coordinates from 0 (bottom) to 1 (top).
-            "auto" places the baseline of the title onto the
-            vertical center of the top margin.
-        yanchor
-            Sets the title's vertical alignment with respect to its
-            y position. "top" means that the title's cap line is at
-            y, "bottom" means that the title's baseline is at y and
-            "middle" means that the title's midline is at y. "auto"
-            divides `yref` by three and calculates the `yanchor`
-            value automatically based on the value of `y`.
-        yref
-            Sets the container `y` refers to. "container" spans the
-            entire `height` of the plot. "paper" refers to the
-            height of the plotting area only.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        font=None,
-        pad=None,
-        text=None,
-        x=None,
-        xanchor=None,
-        xref=None,
-        y=None,
-        yanchor=None,
-        yref=None,
-        **kwargs
-    ):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Title`
-        font
-            Sets the title font. Note that the title's font used to
-            be customized by the now deprecated `titlefont`
-            attribute.
-        pad
-            Sets the padding of the title. Each padding value only
-            applies when the corresponding `xanchor`/`yanchor`
-            value is set accordingly. E.g. for left padding to take
-            effect, `xanchor` must be set to "left". The same rule
-            applies if `xanchor`/`yanchor` is determined
-            automatically. Padding is muted if the respective
-            anchor value is "middle*/*center".
-        text
-            Sets the plot's title. Note that before the existence
-            of `title.text`, the title's contents used to be
-            defined as the `title` attribute itself. This behavior
-            has been deprecated.
-        x
-            Sets the x position with respect to `xref` in
-            normalized coordinates from 0 (left) to 1 (right).
-        xanchor
-            Sets the title's horizontal alignment with respect to
-            its x position. "left" means that the title starts at
-            x, "right" means that the title ends at x and "center"
-            means that the title's center is at x. "auto" divides
-            `xref` by three and calculates the `xanchor` value
-            automatically based on the value of `x`.
-        xref
-            Sets the container `x` refers to. "container" spans the
-            entire `width` of the plot. "paper" refers to the width
-            of the plotting area only.
-        y
-            Sets the y position with respect to `yref` in
-            normalized coordinates from 0 (bottom) to 1 (top).
-            "auto" places the baseline of the title onto the
-            vertical center of the top margin.
-        yanchor
-            Sets the title's vertical alignment with respect to its
-            y position. "top" means that the title's cap line is at
-            y, "bottom" means that the title's baseline is at y and
-            "middle" means that the title's midline is at y. "auto"
-            divides `yref` by three and calculates the `yanchor`
-            value automatically based on the value of `y`.
-        yref
-            Sets the container `y` refers to. "container" spans the
-            entire `height` of the plot. "paper" refers to the
-            height of the plotting area only.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["pad"] = v_title.PadValidator()
-        self._validators["text"] = v_title.TextValidator()
-        self._validators["x"] = v_title.XValidator()
-        self._validators["xanchor"] = v_title.XanchorValidator()
-        self._validators["xref"] = v_title.XrefValidator()
-        self._validators["y"] = v_title.YValidator()
-        self._validators["yanchor"] = v_title.YanchorValidator()
-        self._validators["yref"] = v_title.YrefValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xref", None)
-        self["xref"] = xref if xref is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("yref", None)
-        self["yref"] = yref if yref is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Ternary(_BaseLayoutHierarchyType):
-
-    # aaxis
-    # -----
-    @property
-    def aaxis(self):
-        """
-        The 'aaxis' property is an instance of Aaxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.Aaxis`
-          - A dict of string/value properties that will be passed
-            to the Aaxis constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                min
-                    The minimum value visible on this axis. The
-                    maximum is determined by the sum minus the
-                    minimum values of the other two axes. The full
-                    view corresponds to all the minima set to zero.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    ternary.aaxis.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.ternary.aaxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of layout.ternary.aaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.ternary.aax
-                    is.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.ternary.aaxis.title.font instead. Sets
-                    this axis' title font. Note that the title's
-                    font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `min`, and `title` if in `editable: true`
-                    configuration. Defaults to
-                    `ternary<N>.uirevision`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.Aaxis
-        """
-        return self["aaxis"]
-
-    @aaxis.setter
-    def aaxis(self, val):
-        self["aaxis"] = val
-
-    # baxis
-    # -----
-    @property
-    def baxis(self):
-        """
-        The 'baxis' property is an instance of Baxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.Baxis`
-          - A dict of string/value properties that will be passed
-            to the Baxis constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                min
-                    The minimum value visible on this axis. The
-                    maximum is determined by the sum minus the
-                    minimum values of the other two axes. The full
-                    view corresponds to all the minima set to zero.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    ternary.baxis.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.ternary.baxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of layout.ternary.baxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.ternary.bax
-                    is.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.ternary.baxis.title.font instead. Sets
-                    this axis' title font. Note that the title's
-                    font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `min`, and `title` if in `editable: true`
-                    configuration. Defaults to
-                    `ternary<N>.uirevision`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.Baxis
-        """
-        return self["baxis"]
-
-    @baxis.setter
-    def baxis(self, val):
-        self["baxis"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Set the background color of the subplot
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # caxis
-    # -----
-    @property
-    def caxis(self):
-        """
-        The 'caxis' property is an instance of Caxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.Caxis`
-          - A dict of string/value properties that will be passed
-            to the Caxis constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                min
-                    The minimum value visible on this axis. The
-                    maximum is determined by the sum minus the
-                    minimum values of the other two axes. The full
-                    view corresponds to all the minima set to zero.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    ternary.caxis.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.ternary.caxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of layout.ternary.caxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.ternary.cax
-                    is.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.ternary.caxis.title.font instead. Sets
-                    this axis' title font. Note that the title's
-                    font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `min`, and `title` if in `editable: true`
-                    configuration. Defaults to
-                    `ternary<N>.uirevision`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.Caxis
-        """
-        return self["caxis"]
-
-    @caxis.setter
-    def caxis(self, val):
-        self["caxis"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this ternary
-                    subplot .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this ternary subplot .
-                x
-                    Sets the horizontal domain of this ternary
-                    subplot (in plot fraction).
-                y
-                    Sets the vertical domain of this ternary
-                    subplot (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # sum
-    # ---
-    @property
-    def sum(self):
-        """
-        The number each triplet should sum to, and the maximum range of
-        each axis
-    
-        The 'sum' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sum"]
-
-    @sum.setter
-    def sum(self, val):
-        self["sum"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `min` and
-        `title`, if not overridden in the individual axes. Defaults to
-        `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        aaxis
-            :class:`plotly.graph_objects.layout.ternary.Aaxis`
-            instance or dict with compatible properties
-        baxis
-            :class:`plotly.graph_objects.layout.ternary.Baxis`
-            instance or dict with compatible properties
-        bgcolor
-            Set the background color of the subplot
-        caxis
-            :class:`plotly.graph_objects.layout.ternary.Caxis`
-            instance or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.layout.ternary.Domain`
-            instance or dict with compatible properties
-        sum
-            The number each triplet should sum to, and the maximum
-            range of each axis
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min` and `title`, if not overridden in the individual
-            axes. Defaults to `layout.uirevision`.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        aaxis=None,
-        baxis=None,
-        bgcolor=None,
-        caxis=None,
-        domain=None,
-        sum=None,
-        uirevision=None,
-        **kwargs
-    ):
-        """
-        Construct a new Ternary object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Ternary`
-        aaxis
-            :class:`plotly.graph_objects.layout.ternary.Aaxis`
-            instance or dict with compatible properties
-        baxis
-            :class:`plotly.graph_objects.layout.ternary.Baxis`
-            instance or dict with compatible properties
-        bgcolor
-            Set the background color of the subplot
-        caxis
-            :class:`plotly.graph_objects.layout.ternary.Caxis`
-            instance or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.layout.ternary.Domain`
-            instance or dict with compatible properties
-        sum
-            The number each triplet should sum to, and the maximum
-            range of each axis
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min` and `title`, if not overridden in the individual
-            axes. Defaults to `layout.uirevision`.
-
-        Returns
-        -------
-        Ternary
-        """
-        super(Ternary, self).__init__("ternary")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Ternary 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Ternary`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import ternary as v_ternary
-
-        # Initialize validators
-        # ---------------------
-        self._validators["aaxis"] = v_ternary.AaxisValidator()
-        self._validators["baxis"] = v_ternary.BaxisValidator()
-        self._validators["bgcolor"] = v_ternary.BgcolorValidator()
-        self._validators["caxis"] = v_ternary.CaxisValidator()
-        self._validators["domain"] = v_ternary.DomainValidator()
-        self._validators["sum"] = v_ternary.SumValidator()
-        self._validators["uirevision"] = v_ternary.UirevisionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("aaxis", None)
-        self["aaxis"] = aaxis if aaxis is not None else _v
-        _v = arg.pop("baxis", None)
-        self["baxis"] = baxis if baxis is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("caxis", None)
-        self["caxis"] = caxis if caxis is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("sum", None)
-        self["sum"] = sum if sum is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Template(_BaseLayoutHierarchyType):
-
-    # data
-    # ----
-    @property
-    def data(self):
-        """
-        The 'data' property is an instance of Data
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.template.Data`
-          - A dict of string/value properties that will be passed
-            to the Data constructor
-    
-            Supported dict properties:
-                
-                area
-                    A tuple of :class:`plotly.graph_objects.Area`
-                    instances or dicts with compatible properties
-                barpolar
-                    A tuple of
-                    :class:`plotly.graph_objects.Barpolar`
-                    instances or dicts with compatible properties
-                bar
-                    A tuple of :class:`plotly.graph_objects.Bar`
-                    instances or dicts with compatible properties
-                box
-                    A tuple of :class:`plotly.graph_objects.Box`
-                    instances or dicts with compatible properties
-                candlestick
-                    A tuple of
-                    :class:`plotly.graph_objects.Candlestick`
-                    instances or dicts with compatible properties
-                carpet
-                    A tuple of :class:`plotly.graph_objects.Carpet`
-                    instances or dicts with compatible properties
-                choroplethmapbox
-                    A tuple of
-                    :class:`plotly.graph_objects.Choroplethmapbox`
-                    instances or dicts with compatible properties
-                choropleth
-                    A tuple of
-                    :class:`plotly.graph_objects.Choropleth`
-                    instances or dicts with compatible properties
-                cone
-                    A tuple of :class:`plotly.graph_objects.Cone`
-                    instances or dicts with compatible properties
-                contourcarpet
-                    A tuple of
-                    :class:`plotly.graph_objects.Contourcarpet`
-                    instances or dicts with compatible properties
-                contour
-                    A tuple of
-                    :class:`plotly.graph_objects.Contour` instances
-                    or dicts with compatible properties
-                densitymapbox
-                    A tuple of
-                    :class:`plotly.graph_objects.Densitymapbox`
-                    instances or dicts with compatible properties
-                funnelarea
-                    A tuple of
-                    :class:`plotly.graph_objects.Funnelarea`
-                    instances or dicts with compatible properties
-                funnel
-                    A tuple of :class:`plotly.graph_objects.Funnel`
-                    instances or dicts with compatible properties
-                heatmapgl
-                    A tuple of
-                    :class:`plotly.graph_objects.Heatmapgl`
-                    instances or dicts with compatible properties
-                heatmap
-                    A tuple of
-                    :class:`plotly.graph_objects.Heatmap` instances
-                    or dicts with compatible properties
-                histogram2dcontour
-                    A tuple of :class:`plotly.graph_objects.Histogr
-                    am2dContour` instances or dicts with compatible
-                    properties
-                histogram2d
-                    A tuple of
-                    :class:`plotly.graph_objects.Histogram2d`
-                    instances or dicts with compatible properties
-                histogram
-                    A tuple of
-                    :class:`plotly.graph_objects.Histogram`
-                    instances or dicts with compatible properties
-                image
-                    A tuple of :class:`plotly.graph_objects.Image`
-                    instances or dicts with compatible properties
-                indicator
-                    A tuple of
-                    :class:`plotly.graph_objects.Indicator`
-                    instances or dicts with compatible properties
-                isosurface
-                    A tuple of
-                    :class:`plotly.graph_objects.Isosurface`
-                    instances or dicts with compatible properties
-                mesh3d
-                    A tuple of :class:`plotly.graph_objects.Mesh3d`
-                    instances or dicts with compatible properties
-                ohlc
-                    A tuple of :class:`plotly.graph_objects.Ohlc`
-                    instances or dicts with compatible properties
-                parcats
-                    A tuple of
-                    :class:`plotly.graph_objects.Parcats` instances
-                    or dicts with compatible properties
-                parcoords
-                    A tuple of
-                    :class:`plotly.graph_objects.Parcoords`
-                    instances or dicts with compatible properties
-                pie
-                    A tuple of :class:`plotly.graph_objects.Pie`
-                    instances or dicts with compatible properties
-                pointcloud
-                    A tuple of
-                    :class:`plotly.graph_objects.Pointcloud`
-                    instances or dicts with compatible properties
-                sankey
-                    A tuple of :class:`plotly.graph_objects.Sankey`
-                    instances or dicts with compatible properties
-                scatter3d
-                    A tuple of
-                    :class:`plotly.graph_objects.Scatter3d`
-                    instances or dicts with compatible properties
-                scattercarpet
-                    A tuple of
-                    :class:`plotly.graph_objects.Scattercarpet`
-                    instances or dicts with compatible properties
-                scattergeo
-                    A tuple of
-                    :class:`plotly.graph_objects.Scattergeo`
-                    instances or dicts with compatible properties
-                scattergl
-                    A tuple of
-                    :class:`plotly.graph_objects.Scattergl`
-                    instances or dicts with compatible properties
-                scattermapbox
-                    A tuple of
-                    :class:`plotly.graph_objects.Scattermapbox`
-                    instances or dicts with compatible properties
-                scatterpolargl
-                    A tuple of
-                    :class:`plotly.graph_objects.Scatterpolargl`
-                    instances or dicts with compatible properties
-                scatterpolar
-                    A tuple of
-                    :class:`plotly.graph_objects.Scatterpolar`
-                    instances or dicts with compatible properties
-                scatter
-                    A tuple of
-                    :class:`plotly.graph_objects.Scatter` instances
-                    or dicts with compatible properties
-                scatterternary
-                    A tuple of
-                    :class:`plotly.graph_objects.Scatterternary`
-                    instances or dicts with compatible properties
-                splom
-                    A tuple of :class:`plotly.graph_objects.Splom`
-                    instances or dicts with compatible properties
-                streamtube
-                    A tuple of
-                    :class:`plotly.graph_objects.Streamtube`
-                    instances or dicts with compatible properties
-                sunburst
-                    A tuple of
-                    :class:`plotly.graph_objects.Sunburst`
-                    instances or dicts with compatible properties
-                surface
-                    A tuple of
-                    :class:`plotly.graph_objects.Surface` instances
-                    or dicts with compatible properties
-                table
-                    A tuple of :class:`plotly.graph_objects.Table`
-                    instances or dicts with compatible properties
-                treemap
-                    A tuple of
-                    :class:`plotly.graph_objects.Treemap` instances
-                    or dicts with compatible properties
-                violin
-                    A tuple of :class:`plotly.graph_objects.Violin`
-                    instances or dicts with compatible properties
-                volume
-                    A tuple of :class:`plotly.graph_objects.Volume`
-                    instances or dicts with compatible properties
-                waterfall
-                    A tuple of
-                    :class:`plotly.graph_objects.Waterfall`
-                    instances or dicts with compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.layout.template.Data
-        """
-        return self["data"]
-
-    @data.setter
-    def data(self, val):
-        self["data"] = val
-
-    # layout
-    # ------
-    @property
-    def layout(self):
-        """
-        The 'layout' property is an instance of Layout
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.Layout`
-          - A dict of string/value properties that will be passed
-            to the Layout constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.template.Layout
-        """
-        return self["layout"]
-
-    @layout.setter
-    def layout(self, val):
-        self["layout"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        data
-            :class:`plotly.graph_objects.layout.template.Data`
-            instance or dict with compatible properties
-        layout
-            :class:`plotly.graph_objects.Layout` instance or dict
-            with compatible properties
-        """
-
-    def __init__(self, arg=None, data=None, layout=None, **kwargs):
-        """
-        Construct a new Template object
-        
-        Default attributes to be applied to the plot. This should be a
-        dict with format: `{'layout': layoutTemplate, 'data':
-        {trace_type: [traceTemplate, ...], ...}}` where
-        `layoutTemplate` is a dict matching the structure of
-        `figure.layout` and `traceTemplate` is a dict matching the
-        structure of the trace with type `trace_type` (e.g. 'scatter').
-        Alternatively, this may be specified as an instance of
-        plotly.graph_objs.layout.Template.  Trace templates are applied
-        cyclically to traces of each type. Container arrays (eg
-        `annotations`) have special handling: An object ending in
-        `defaults` (eg `annotationdefaults`) is applied to each array
-        item. But if an item has a `templateitemname` key we look in
-        the template array for an item with matching `name` and apply
-        that instead. If no matching `name` is found we mark the item
-        invisible. Any named template item not referenced is appended
-        to the end of the array, so this can be used to add a watermark
-        annotation or a logo image, for example. To omit one of these
-        items on the plot, make an item with matching
-        `templateitemname` and `visible: false`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Template`
-        data
-            :class:`plotly.graph_objects.layout.template.Data`
-            instance or dict with compatible properties
-        layout
-            :class:`plotly.graph_objects.Layout` instance or dict
-            with compatible properties
-
-        Returns
-        -------
-        Template
-        """
-        super(Template, self).__init__("template")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Template 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Template`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import template as v_template
-
-        # Initialize validators
-        # ---------------------
-        self._validators["data"] = v_template.DataValidator()
-        self._validators["layout"] = v_template.LayoutValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("data", None)
-        self["data"] = data if data is not None else _v
-        _v = arg.pop("layout", None)
-        self["layout"] = layout if layout is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Slider(_BaseLayoutHierarchyType):
-
-    # active
-    # ------
-    @property
-    def active(self):
-        """
-        Determines which button (by index starting from 0) is
-        considered active.
-    
-        The 'active' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["active"]
-
-    @active.setter
-    def active(self, val):
-        self["active"] = val
-
-    # activebgcolor
-    # -------------
-    @property
-    def activebgcolor(self):
-        """
-        Sets the background color of the slider grip while dragging.
-    
-        The 'activebgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["activebgcolor"]
-
-    @activebgcolor.setter
-    def activebgcolor(self, val):
-        self["activebgcolor"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the slider.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the slider.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the slider.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # currentvalue
-    # ------------
-    @property
-    def currentvalue(self):
-        """
-        The 'currentvalue' property is an instance of Currentvalue
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.slider.Currentvalue`
-          - A dict of string/value properties that will be passed
-            to the Currentvalue constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets the font of the current value label text.
-                offset
-                    The amount of space, in pixels, between the
-                    current value label and the slider.
-                prefix
-                    When currentvalue.visible is true, this sets
-                    the prefix of the label.
-                suffix
-                    When currentvalue.visible is true, this sets
-                    the suffix of the label.
-                visible
-                    Shows the currently-selected value above the
-                    slider.
-                xanchor
-                    The alignment of the value readout relative to
-                    the length of the slider.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.slider.Currentvalue
-        """
-        return self["currentvalue"]
-
-    @currentvalue.setter
-    def currentvalue(self, val):
-        self["currentvalue"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font of the slider step labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.slider.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.slider.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the slider This measure excludes the padding
-        of both ends. That is, the slider's length is this length minus
-        the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this slider length is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # minorticklen
-    # ------------
-    @property
-    def minorticklen(self):
-        """
-        Sets the length in pixels of minor step tick marks
-    
-        The 'minorticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["minorticklen"]
-
-    @minorticklen.setter
-    def minorticklen(self, val):
-        self["minorticklen"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        Set the padding of the slider component along each side.
-    
-        The 'pad' property is an instance of Pad
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.slider.Pad`
-          - A dict of string/value properties that will be passed
-            to the Pad constructor
-    
-            Supported dict properties:
-                
-                b
-                    The amount of padding (in px) along the bottom
-                    of the component.
-                l
-                    The amount of padding (in px) on the left side
-                    of the component.
-                r
-                    The amount of padding (in px) on the right side
-                    of the component.
-                t
-                    The amount of padding (in px) along the top of
-                    the component.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.slider.Pad
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # steps
-    # -----
-    @property
-    def steps(self):
-        """
-        The 'steps' property is a tuple of instances of
-        Step that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.slider.Step
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Step constructor
-    
-            Supported dict properties:
-                
-                args
-                    Sets the arguments values to be passed to the
-                    Plotly method set in `method` on slide.
-                execute
-                    When true, the API method is executed. When
-                    false, all other behaviors are the same and
-                    command execution is skipped. This may be
-                    useful when hooking into, for example, the
-                    `plotly_sliderchange` method and executing the
-                    API command manually without losing the benefit
-                    of the slider automatically binding to the
-                    state of the plot through the specification of
-                    `method` and `args`.
-                label
-                    Sets the text label to appear on the slider
-                method
-                    Sets the Plotly method to be called when the
-                    slider value is changed. If the `skip` method
-                    is used, the API slider will function as normal
-                    but will perform no API calls and will not bind
-                    automatically to state updates. This may be
-                    used to create a component interface and attach
-                    to slider events manually via JavaScript.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    Sets the value of the slider step, used to
-                    refer to the step programatically. Defaults to
-                    the slider label if not provided.
-                visible
-                    Determines whether or not this step is included
-                    in the slider.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.slider.Step]
-        """
-        return self["steps"]
-
-    @steps.setter
-    def steps(self, val):
-        self["steps"] = val
-
-    # stepdefaults
-    # ------------
-    @property
-    def stepdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.slider.stepdefaults), sets the default
-        property values to use for elements of layout.slider.steps
-    
-        The 'stepdefaults' property is an instance of Step
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.slider.Step`
-          - A dict of string/value properties that will be passed
-            to the Step constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.slider.Step
-        """
-        return self["stepdefaults"]
-
-    @stepdefaults.setter
-    def stepdefaults(self, val):
-        self["stepdefaults"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the color of the border enclosing the slider.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the length in pixels of step tick marks
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # transition
-    # ----------
-    @property
-    def transition(self):
-        """
-        The 'transition' property is an instance of Transition
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.slider.Transition`
-          - A dict of string/value properties that will be passed
-            to the Transition constructor
-    
-            Supported dict properties:
-                
-                duration
-                    Sets the duration of the slider transition
-                easing
-                    Sets the easing function of the slider
-                    transition
-
-        Returns
-        -------
-        plotly.graph_objs.layout.slider.Transition
-        """
-        return self["transition"]
-
-    @transition.setter
-    def transition(self, val):
-        self["transition"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not the slider is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position (in normalized coordinates) of the slider.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the slider's horizontal position anchor. This anchor binds
-        the `x` position to the "left", "center" or "right" of the
-        range selector.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position (in normalized coordinates) of the slider.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the slider's vertical position anchor This anchor binds
-        the `y` position to the "top", "middle" or "bottom" of the
-        range selector.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        active
-            Determines which button (by index starting from 0) is
-            considered active.
-        activebgcolor
-            Sets the background color of the slider grip while
-            dragging.
-        bgcolor
-            Sets the background color of the slider.
-        bordercolor
-            Sets the color of the border enclosing the slider.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            slider.
-        currentvalue
-            :class:`plotly.graph_objects.layout.slider.Currentvalue
-            ` instance or dict with compatible properties
-        font
-            Sets the font of the slider step labels.
-        len
-            Sets the length of the slider This measure excludes the
-            padding of both ends. That is, the slider's length is
-            this length minus the padding on both ends.
-        lenmode
-            Determines whether this slider length is set in units
-            of plot "fraction" or in *pixels. Use `len` to set the
-            value.
-        minorticklen
-            Sets the length in pixels of minor step tick marks
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pad
-            Set the padding of the slider component along each
-            side.
-        steps
-            A tuple of
-            :class:`plotly.graph_objects.layout.slider.Step`
-            instances or dicts with compatible properties
-        stepdefaults
-            When used in a template (as
-            layout.template.layout.slider.stepdefaults), sets the
-            default property values to use for elements of
-            layout.slider.steps
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        tickcolor
-            Sets the color of the border enclosing the slider.
-        ticklen
-            Sets the length in pixels of step tick marks
-        tickwidth
-            Sets the tick width (in px).
-        transition
-            :class:`plotly.graph_objects.layout.slider.Transition`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not the slider is visible.
-        x
-            Sets the x position (in normalized coordinates) of the
-            slider.
-        xanchor
-            Sets the slider's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the range selector.
-        y
-            Sets the y position (in normalized coordinates) of the
-            slider.
-        yanchor
-            Sets the slider's vertical position anchor This anchor
-            binds the `y` position to the "top", "middle" or
-            "bottom" of the range selector.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        active=None,
-        activebgcolor=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        currentvalue=None,
-        font=None,
-        len=None,
-        lenmode=None,
-        minorticklen=None,
-        name=None,
-        pad=None,
-        steps=None,
-        stepdefaults=None,
-        templateitemname=None,
-        tickcolor=None,
-        ticklen=None,
-        tickwidth=None,
-        transition=None,
-        visible=None,
-        x=None,
-        xanchor=None,
-        y=None,
-        yanchor=None,
-        **kwargs
-    ):
-        """
-        Construct a new Slider object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Slider`
-        active
-            Determines which button (by index starting from 0) is
-            considered active.
-        activebgcolor
-            Sets the background color of the slider grip while
-            dragging.
-        bgcolor
-            Sets the background color of the slider.
-        bordercolor
-            Sets the color of the border enclosing the slider.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            slider.
-        currentvalue
-            :class:`plotly.graph_objects.layout.slider.Currentvalue
-            ` instance or dict with compatible properties
-        font
-            Sets the font of the slider step labels.
-        len
-            Sets the length of the slider This measure excludes the
-            padding of both ends. That is, the slider's length is
-            this length minus the padding on both ends.
-        lenmode
-            Determines whether this slider length is set in units
-            of plot "fraction" or in *pixels. Use `len` to set the
-            value.
-        minorticklen
-            Sets the length in pixels of minor step tick marks
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pad
-            Set the padding of the slider component along each
-            side.
-        steps
-            A tuple of
-            :class:`plotly.graph_objects.layout.slider.Step`
-            instances or dicts with compatible properties
-        stepdefaults
-            When used in a template (as
-            layout.template.layout.slider.stepdefaults), sets the
-            default property values to use for elements of
-            layout.slider.steps
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        tickcolor
-            Sets the color of the border enclosing the slider.
-        ticklen
-            Sets the length in pixels of step tick marks
-        tickwidth
-            Sets the tick width (in px).
-        transition
-            :class:`plotly.graph_objects.layout.slider.Transition`
-            instance or dict with compatible properties
-        visible
-            Determines whether or not the slider is visible.
-        x
-            Sets the x position (in normalized coordinates) of the
-            slider.
-        xanchor
-            Sets the slider's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the range selector.
-        y
-            Sets the y position (in normalized coordinates) of the
-            slider.
-        yanchor
-            Sets the slider's vertical position anchor This anchor
-            binds the `y` position to the "top", "middle" or
-            "bottom" of the range selector.
-
-        Returns
-        -------
-        Slider
-        """
-        super(Slider, self).__init__("sliders")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Slider 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Slider`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import slider as v_slider
-
-        # Initialize validators
-        # ---------------------
-        self._validators["active"] = v_slider.ActiveValidator()
-        self._validators["activebgcolor"] = v_slider.ActivebgcolorValidator()
-        self._validators["bgcolor"] = v_slider.BgcolorValidator()
-        self._validators["bordercolor"] = v_slider.BordercolorValidator()
-        self._validators["borderwidth"] = v_slider.BorderwidthValidator()
-        self._validators["currentvalue"] = v_slider.CurrentvalueValidator()
-        self._validators["font"] = v_slider.FontValidator()
-        self._validators["len"] = v_slider.LenValidator()
-        self._validators["lenmode"] = v_slider.LenmodeValidator()
-        self._validators["minorticklen"] = v_slider.MinorticklenValidator()
-        self._validators["name"] = v_slider.NameValidator()
-        self._validators["pad"] = v_slider.PadValidator()
-        self._validators["steps"] = v_slider.StepsValidator()
-        self._validators["stepdefaults"] = v_slider.StepValidator()
-        self._validators["templateitemname"] = v_slider.TemplateitemnameValidator()
-        self._validators["tickcolor"] = v_slider.TickcolorValidator()
-        self._validators["ticklen"] = v_slider.TicklenValidator()
-        self._validators["tickwidth"] = v_slider.TickwidthValidator()
-        self._validators["transition"] = v_slider.TransitionValidator()
-        self._validators["visible"] = v_slider.VisibleValidator()
-        self._validators["x"] = v_slider.XValidator()
-        self._validators["xanchor"] = v_slider.XanchorValidator()
-        self._validators["y"] = v_slider.YValidator()
-        self._validators["yanchor"] = v_slider.YanchorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("active", None)
-        self["active"] = active if active is not None else _v
-        _v = arg.pop("activebgcolor", None)
-        self["activebgcolor"] = activebgcolor if activebgcolor is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("currentvalue", None)
-        self["currentvalue"] = currentvalue if currentvalue is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("minorticklen", None)
-        self["minorticklen"] = minorticklen if minorticklen is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("steps", None)
-        self["steps"] = steps if steps is not None else _v
-        _v = arg.pop("stepdefaults", None)
-        self["stepdefaults"] = stepdefaults if stepdefaults is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("transition", None)
-        self["transition"] = transition if transition is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Shape(_BaseLayoutHierarchyType):
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the color filling the shape's interior.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Specifies whether shapes are drawn below or above traces.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['below', 'above']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.shape.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.shape.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the shape.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # path
-    # ----
-    @property
-    def path(self):
-        """
-        For `type` "path" - a valid SVG path with the pixel values
-        replaced by data values in `xsizemode`/`ysizemode` being
-        "scaled" and taken unmodified as pixels relative to `xanchor`
-        and `yanchor` in case of "pixel" size mode. There are a few
-        restrictions / quirks only absolute instructions, not relative.
-        So the allowed segments are: M, L, H, V, Q, C, T, S, and Z arcs
-        (A) are not allowed because radius rx and ry are relative. In
-        the future we could consider supporting relative commands, but
-        we would have to decide on how to handle date and log axes.
-        Note that even as is, Q and C Bezier paths that are smooth on
-        linear axes may not be smooth on log, and vice versa. no
-        chained "polybezier" commands - specify the segment type for
-        each one. On category axes, values are numbers scaled to the
-        serial numbers of categories because using the categories
-        themselves there would be no way to describe fractional
-        positions On data axes: because space and T are both normal
-        components of path strings, we can't use either to separate
-        date from time parts. Therefore we'll use underscore for this
-        purpose: 2015-02-21_13:45:56.789
-    
-        The 'path' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["path"]
-
-    @path.setter
-    def path(self, val):
-        self["path"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Specifies the shape type to be drawn. If "line", a line is
-        drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect to the axes'
-        sizing mode. If "circle", a circle is drawn from
-        ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius (|(`x0`+`x1`)/2 -
-        `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with respect to the axes' sizing
-        mode. If "rect", a rectangle is drawn linking (`x0`,`y0`),
-        (`x1`,`y0`), (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect
-        to the axes' sizing mode. If "path", draw a custom SVG path
-        using `path`. with respect to the axes' sizing mode.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['circle', 'rect', 'path', 'line']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this shape is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x0
-    # --
-    @property
-    def x0(self):
-        """
-        Sets the shape's starting x position. See `type` and
-        `xsizemode` for more info.
-    
-        The 'x0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x0"]
-
-    @x0.setter
-    def x0(self, val):
-        self["x0"] = val
-
-    # x1
-    # --
-    @property
-    def x1(self):
-        """
-        Sets the shape's end x position. See `type` and `xsizemode` for
-        more info.
-    
-        The 'x1' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x1"]
-
-    @x1.setter
-    def x1(self, val):
-        self["x1"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Only relevant in conjunction with `xsizemode` set to "pixel".
-        Specifies the anchor point on the x axis to which `x0`, `x1`
-        and x coordinates within `path` are relative to. E.g. useful to
-        attach a pixel sized shape to a certain data value. No effect
-        when `xsizemode` not set to "pixel".
-    
-        The 'xanchor' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xref
-    # ----
-    @property
-    def xref(self):
-        """
-        Sets the shape's x coordinate axis. If set to an x axis id
-        (e.g. "x" or "x2"), the `x` position refers to an x coordinate.
-        If set to "paper", the `x` position refers to the distance from
-        the left side of the plotting area in normalized coordinates
-        where 0 (1) corresponds to the left (right) side. If the axis
-        `type` is "log", then you must take the log of your desired
-        range. If the axis `type` is "date", then you must convert the
-        date to unix time in milliseconds.
-    
-        The 'xref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['paper']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xref"]
-
-    @xref.setter
-    def xref(self, val):
-        self["xref"] = val
-
-    # xsizemode
-    # ---------
-    @property
-    def xsizemode(self):
-        """
-        Sets the shapes's sizing mode along the x axis. If set to
-        "scaled", `x0`, `x1` and x coordinates within `path` refer to
-        data values on the x axis or a fraction of the plot area's
-        width (`xref` set to "paper"). If set to "pixel", `xanchor`
-        specifies the x position in terms of data or plot fraction but
-        `x0`, `x1` and x coordinates within `path` are pixels relative
-        to `xanchor`. This way, the shape can have a fixed width while
-        maintaining a position relative to data or plot fraction.
-    
-        The 'xsizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['scaled', 'pixel']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xsizemode"]
-
-    @xsizemode.setter
-    def xsizemode(self, val):
-        self["xsizemode"] = val
-
-    # y0
-    # --
-    @property
-    def y0(self):
-        """
-        Sets the shape's starting y position. See `type` and
-        `ysizemode` for more info.
-    
-        The 'y0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y0"]
-
-    @y0.setter
-    def y0(self, val):
-        self["y0"] = val
-
-    # y1
-    # --
-    @property
-    def y1(self):
-        """
-        Sets the shape's end y position. See `type` and `ysizemode` for
-        more info.
-    
-        The 'y1' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y1"]
-
-    @y1.setter
-    def y1(self, val):
-        self["y1"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Only relevant in conjunction with `ysizemode` set to "pixel".
-        Specifies the anchor point on the y axis to which `y0`, `y1`
-        and y coordinates within `path` are relative to. E.g. useful to
-        attach a pixel sized shape to a certain data value. No effect
-        when `ysizemode` not set to "pixel".
-    
-        The 'yanchor' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # yref
-    # ----
-    @property
-    def yref(self):
-        """
-        Sets the annotation's y coordinate axis. If set to an y axis id
-        (e.g. "y" or "y2"), the `y` position refers to an y coordinate
-        If set to "paper", the `y` position refers to the distance from
-        the bottom of the plotting area in normalized coordinates where
-        0 (1) corresponds to the bottom (top).
-    
-        The 'yref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['paper']
-          - A string that matches one of the following regular expressions:
-                ['^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yref"]
-
-    @yref.setter
-    def yref(self, val):
-        self["yref"] = val
-
-    # ysizemode
-    # ---------
-    @property
-    def ysizemode(self):
-        """
-        Sets the shapes's sizing mode along the y axis. If set to
-        "scaled", `y0`, `y1` and y coordinates within `path` refer to
-        data values on the y axis or a fraction of the plot area's
-        height (`yref` set to "paper"). If set to "pixel", `yanchor`
-        specifies the y position in terms of data or plot fraction but
-        `y0`, `y1` and y coordinates within `path` are pixels relative
-        to `yanchor`. This way, the shape can have a fixed height while
-        maintaining a position relative to data or plot fraction.
-    
-        The 'ysizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['scaled', 'pixel']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ysizemode"]
-
-    @ysizemode.setter
-    def ysizemode(self, val):
-        self["ysizemode"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fillcolor
-            Sets the color filling the shape's interior.
-        layer
-            Specifies whether shapes are drawn below or above
-            traces.
-        line
-            :class:`plotly.graph_objects.layout.shape.Line`
-            instance or dict with compatible properties
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the shape.
-        path
-            For `type` "path" - a valid SVG path with the pixel
-            values replaced by data values in
-            `xsizemode`/`ysizemode` being "scaled" and taken
-            unmodified as pixels relative to `xanchor` and
-            `yanchor` in case of "pixel" size mode. There are a few
-            restrictions / quirks only absolute instructions, not
-            relative. So the allowed segments are: M, L, H, V, Q,
-            C, T, S, and Z arcs (A) are not allowed because radius
-            rx and ry are relative. In the future we could consider
-            supporting relative commands, but we would have to
-            decide on how to handle date and log axes. Note that
-            even as is, Q and C Bezier paths that are smooth on
-            linear axes may not be smooth on log, and vice versa.
-            no chained "polybezier" commands - specify the segment
-            type for each one. On category axes, values are numbers
-            scaled to the serial numbers of categories because
-            using the categories themselves there would be no way
-            to describe fractional positions On data axes: because
-            space and T are both normal components of path strings,
-            we can't use either to separate date from time parts.
-            Therefore we'll use underscore for this purpose:
-            2015-02-21_13:45:56.789
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        type
-            Specifies the shape type to be drawn. If "line", a line
-            is drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect
-            to the axes' sizing mode. If "circle", a circle is
-            drawn from ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
-            (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with
-            respect to the axes' sizing mode. If "rect", a
-            rectangle is drawn linking (`x0`,`y0`), (`x1`,`y0`),
-            (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect to
-            the axes' sizing mode. If "path", draw a custom SVG
-            path using `path`. with respect to the axes' sizing
-            mode.
-        visible
-            Determines whether or not this shape is visible.
-        x0
-            Sets the shape's starting x position. See `type` and
-            `xsizemode` for more info.
-        x1
-            Sets the shape's end x position. See `type` and
-            `xsizemode` for more info.
-        xanchor
-            Only relevant in conjunction with `xsizemode` set to
-            "pixel". Specifies the anchor point on the x axis to
-            which `x0`, `x1` and x coordinates within `path` are
-            relative to. E.g. useful to attach a pixel sized shape
-            to a certain data value. No effect when `xsizemode` not
-            set to "pixel".
-        xref
-            Sets the shape's x coordinate axis. If set to an x axis
-            id (e.g. "x" or "x2"), the `x` position refers to an x
-            coordinate. If set to "paper", the `x` position refers
-            to the distance from the left side of the plotting area
-            in normalized coordinates where 0 (1) corresponds to
-            the left (right) side. If the axis `type` is "log",
-            then you must take the log of your desired range. If
-            the axis `type` is "date", then you must convert the
-            date to unix time in milliseconds.
-        xsizemode
-            Sets the shapes's sizing mode along the x axis. If set
-            to "scaled", `x0`, `x1` and x coordinates within `path`
-            refer to data values on the x axis or a fraction of the
-            plot area's width (`xref` set to "paper"). If set to
-            "pixel", `xanchor` specifies the x position in terms of
-            data or plot fraction but `x0`, `x1` and x coordinates
-            within `path` are pixels relative to `xanchor`. This
-            way, the shape can have a fixed width while maintaining
-            a position relative to data or plot fraction.
-        y0
-            Sets the shape's starting y position. See `type` and
-            `ysizemode` for more info.
-        y1
-            Sets the shape's end y position. See `type` and
-            `ysizemode` for more info.
-        yanchor
-            Only relevant in conjunction with `ysizemode` set to
-            "pixel". Specifies the anchor point on the y axis to
-            which `y0`, `y1` and y coordinates within `path` are
-            relative to. E.g. useful to attach a pixel sized shape
-            to a certain data value. No effect when `ysizemode` not
-            set to "pixel".
-        yref
-            Sets the annotation's y coordinate axis. If set to an y
-            axis id (e.g. "y" or "y2"), the `y` position refers to
-            an y coordinate If set to "paper", the `y` position
-            refers to the distance from the bottom of the plotting
-            area in normalized coordinates where 0 (1) corresponds
-            to the bottom (top).
-        ysizemode
-            Sets the shapes's sizing mode along the y axis. If set
-            to "scaled", `y0`, `y1` and y coordinates within `path`
-            refer to data values on the y axis or a fraction of the
-            plot area's height (`yref` set to "paper"). If set to
-            "pixel", `yanchor` specifies the y position in terms of
-            data or plot fraction but `y0`, `y1` and y coordinates
-            within `path` are pixels relative to `yanchor`. This
-            way, the shape can have a fixed height while
-            maintaining a position relative to data or plot
-            fraction.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fillcolor=None,
-        layer=None,
-        line=None,
-        name=None,
-        opacity=None,
-        path=None,
-        templateitemname=None,
-        type=None,
-        visible=None,
-        x0=None,
-        x1=None,
-        xanchor=None,
-        xref=None,
-        xsizemode=None,
-        y0=None,
-        y1=None,
-        yanchor=None,
-        yref=None,
-        ysizemode=None,
-        **kwargs
-    ):
-        """
-        Construct a new Shape object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Shape`
-        fillcolor
-            Sets the color filling the shape's interior.
-        layer
-            Specifies whether shapes are drawn below or above
-            traces.
-        line
-            :class:`plotly.graph_objects.layout.shape.Line`
-            instance or dict with compatible properties
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the shape.
-        path
-            For `type` "path" - a valid SVG path with the pixel
-            values replaced by data values in
-            `xsizemode`/`ysizemode` being "scaled" and taken
-            unmodified as pixels relative to `xanchor` and
-            `yanchor` in case of "pixel" size mode. There are a few
-            restrictions / quirks only absolute instructions, not
-            relative. So the allowed segments are: M, L, H, V, Q,
-            C, T, S, and Z arcs (A) are not allowed because radius
-            rx and ry are relative. In the future we could consider
-            supporting relative commands, but we would have to
-            decide on how to handle date and log axes. Note that
-            even as is, Q and C Bezier paths that are smooth on
-            linear axes may not be smooth on log, and vice versa.
-            no chained "polybezier" commands - specify the segment
-            type for each one. On category axes, values are numbers
-            scaled to the serial numbers of categories because
-            using the categories themselves there would be no way
-            to describe fractional positions On data axes: because
-            space and T are both normal components of path strings,
-            we can't use either to separate date from time parts.
-            Therefore we'll use underscore for this purpose:
-            2015-02-21_13:45:56.789
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        type
-            Specifies the shape type to be drawn. If "line", a line
-            is drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect
-            to the axes' sizing mode. If "circle", a circle is
-            drawn from ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
-            (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with
-            respect to the axes' sizing mode. If "rect", a
-            rectangle is drawn linking (`x0`,`y0`), (`x1`,`y0`),
-            (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect to
-            the axes' sizing mode. If "path", draw a custom SVG
-            path using `path`. with respect to the axes' sizing
-            mode.
-        visible
-            Determines whether or not this shape is visible.
-        x0
-            Sets the shape's starting x position. See `type` and
-            `xsizemode` for more info.
-        x1
-            Sets the shape's end x position. See `type` and
-            `xsizemode` for more info.
-        xanchor
-            Only relevant in conjunction with `xsizemode` set to
-            "pixel". Specifies the anchor point on the x axis to
-            which `x0`, `x1` and x coordinates within `path` are
-            relative to. E.g. useful to attach a pixel sized shape
-            to a certain data value. No effect when `xsizemode` not
-            set to "pixel".
-        xref
-            Sets the shape's x coordinate axis. If set to an x axis
-            id (e.g. "x" or "x2"), the `x` position refers to an x
-            coordinate. If set to "paper", the `x` position refers
-            to the distance from the left side of the plotting area
-            in normalized coordinates where 0 (1) corresponds to
-            the left (right) side. If the axis `type` is "log",
-            then you must take the log of your desired range. If
-            the axis `type` is "date", then you must convert the
-            date to unix time in milliseconds.
-        xsizemode
-            Sets the shapes's sizing mode along the x axis. If set
-            to "scaled", `x0`, `x1` and x coordinates within `path`
-            refer to data values on the x axis or a fraction of the
-            plot area's width (`xref` set to "paper"). If set to
-            "pixel", `xanchor` specifies the x position in terms of
-            data or plot fraction but `x0`, `x1` and x coordinates
-            within `path` are pixels relative to `xanchor`. This
-            way, the shape can have a fixed width while maintaining
-            a position relative to data or plot fraction.
-        y0
-            Sets the shape's starting y position. See `type` and
-            `ysizemode` for more info.
-        y1
-            Sets the shape's end y position. See `type` and
-            `ysizemode` for more info.
-        yanchor
-            Only relevant in conjunction with `ysizemode` set to
-            "pixel". Specifies the anchor point on the y axis to
-            which `y0`, `y1` and y coordinates within `path` are
-            relative to. E.g. useful to attach a pixel sized shape
-            to a certain data value. No effect when `ysizemode` not
-            set to "pixel".
-        yref
-            Sets the annotation's y coordinate axis. If set to an y
-            axis id (e.g. "y" or "y2"), the `y` position refers to
-            an y coordinate If set to "paper", the `y` position
-            refers to the distance from the bottom of the plotting
-            area in normalized coordinates where 0 (1) corresponds
-            to the bottom (top).
-        ysizemode
-            Sets the shapes's sizing mode along the y axis. If set
-            to "scaled", `y0`, `y1` and y coordinates within `path`
-            refer to data values on the y axis or a fraction of the
-            plot area's height (`yref` set to "paper"). If set to
-            "pixel", `yanchor` specifies the y position in terms of
-            data or plot fraction but `y0`, `y1` and y coordinates
-            within `path` are pixels relative to `yanchor`. This
-            way, the shape can have a fixed height while
-            maintaining a position relative to data or plot
-            fraction.
-
-        Returns
-        -------
-        Shape
-        """
-        super(Shape, self).__init__("shapes")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Shape 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Shape`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import shape as v_shape
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fillcolor"] = v_shape.FillcolorValidator()
-        self._validators["layer"] = v_shape.LayerValidator()
-        self._validators["line"] = v_shape.LineValidator()
-        self._validators["name"] = v_shape.NameValidator()
-        self._validators["opacity"] = v_shape.OpacityValidator()
-        self._validators["path"] = v_shape.PathValidator()
-        self._validators["templateitemname"] = v_shape.TemplateitemnameValidator()
-        self._validators["type"] = v_shape.TypeValidator()
-        self._validators["visible"] = v_shape.VisibleValidator()
-        self._validators["x0"] = v_shape.X0Validator()
-        self._validators["x1"] = v_shape.X1Validator()
-        self._validators["xanchor"] = v_shape.XanchorValidator()
-        self._validators["xref"] = v_shape.XrefValidator()
-        self._validators["xsizemode"] = v_shape.XsizemodeValidator()
-        self._validators["y0"] = v_shape.Y0Validator()
-        self._validators["y1"] = v_shape.Y1Validator()
-        self._validators["yanchor"] = v_shape.YanchorValidator()
-        self._validators["yref"] = v_shape.YrefValidator()
-        self._validators["ysizemode"] = v_shape.YsizemodeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("path", None)
-        self["path"] = path if path is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x0", None)
-        self["x0"] = x0 if x0 is not None else _v
-        _v = arg.pop("x1", None)
-        self["x1"] = x1 if x1 is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xref", None)
-        self["xref"] = xref if xref is not None else _v
-        _v = arg.pop("xsizemode", None)
-        self["xsizemode"] = xsizemode if xsizemode is not None else _v
-        _v = arg.pop("y0", None)
-        self["y0"] = y0 if y0 is not None else _v
-        _v = arg.pop("y1", None)
-        self["y1"] = y1 if y1 is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("yref", None)
-        self["yref"] = yref if yref is not None else _v
-        _v = arg.pop("ysizemode", None)
-        self["ysizemode"] = ysizemode if ysizemode is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Scene(_BaseLayoutHierarchyType):
-
-    # annotations
-    # -----------
-    @property
-    def annotations(self):
-        """
-        The 'annotations' property is a tuple of instances of
-        Annotation that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.scene.Annotation
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Annotation constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the `text`
-                    within the box. Has an effect only if `text`
-                    spans two or more lines (i.e. `text` contains
-                    one or more <br> HTML tags) or if an explicit
-                    width is set to override the text width.
-                arrowcolor
-                    Sets the color of the annotation arrow.
-                arrowhead
-                    Sets the end annotation arrow head style.
-                arrowside
-                    Sets the annotation arrow head position.
-                arrowsize
-                    Sets the size of the end annotation arrow head,
-                    relative to `arrowwidth`. A value of 1
-                    (default) gives a head about 3x as wide as the
-                    line.
-                arrowwidth
-                    Sets the width (in px) of annotation arrow
-                    line.
-                ax
-                    Sets the x component of the arrow tail about
-                    the arrow head (in pixels).
-                ay
-                    Sets the y component of the arrow tail about
-                    the arrow head (in pixels).
-                bgcolor
-                    Sets the background color of the annotation.
-                bordercolor
-                    Sets the color of the border enclosing the
-                    annotation `text`.
-                borderpad
-                    Sets the padding (in px) between the `text` and
-                    the enclosing border.
-                borderwidth
-                    Sets the width (in px) of the border enclosing
-                    the annotation `text`.
-                captureevents
-                    Determines whether the annotation text box
-                    captures mouse move and click events, or allows
-                    those events to pass through to data points in
-                    the plot that may be behind the annotation. By
-                    default `captureevents` is False unless
-                    `hovertext` is provided. If you use the event
-                    `plotly_clickannotation` without `hovertext`
-                    you must explicitly enable `captureevents`.
-                font
-                    Sets the annotation text font.
-                height
-                    Sets an explicit height for the text box. null
-                    (default) lets the text set the box height.
-                    Taller text will be clipped.
-                hoverlabel
-                    :class:`plotly.graph_objects.layout.scene.annot
-                    ation.Hoverlabel` instance or dict with
-                    compatible properties
-                hovertext
-                    Sets text to appear when hovering over this
-                    annotation. If omitted or blank, no hover label
-                    will appear.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                opacity
-                    Sets the opacity of the annotation (text +
-                    arrow).
-                showarrow
-                    Determines whether or not the annotation is
-                    drawn with an arrow. If True, `text` is placed
-                    near the arrow's tail. If False, `text` lines
-                    up with the `x` and `y` provided.
-                standoff
-                    Sets a distance, in pixels, to move the end
-                    arrowhead away from the position it is pointing
-                    at, for example to point at the edge of a
-                    marker independent of zoom. Note that this
-                    shortens the arrow from the `ax` / `ay` vector,
-                    in contrast to `xshift` / `yshift` which moves
-                    everything by this amount.
-                startarrowhead
-                    Sets the start annotation arrow head style.
-                startarrowsize
-                    Sets the size of the start annotation arrow
-                    head, relative to `arrowwidth`. A value of 1
-                    (default) gives a head about 3x as wide as the
-                    line.
-                startstandoff
-                    Sets a distance, in pixels, to move the start
-                    arrowhead away from the position it is pointing
-                    at, for example to point at the edge of a
-                    marker independent of zoom. Note that this
-                    shortens the arrow from the `ax` / `ay` vector,
-                    in contrast to `xshift` / `yshift` which moves
-                    everything by this amount.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                text
-                    Sets the text associated with this annotation.
-                    Plotly uses a subset of HTML tags to do things
-                    like newline (<br>), bold (<b></b>), italics
-                    (<i></i>), hyperlinks (<a href='...'></a>).
-                    Tags <em>, <sup>, <sub> <span> are also
-                    supported.
-                textangle
-                    Sets the angle at which the `text` is drawn
-                    with respect to the horizontal.
-                valign
-                    Sets the vertical alignment of the `text`
-                    within the box. Has an effect only if an
-                    explicit height is set to override the text
-                    height.
-                visible
-                    Determines whether or not this annotation is
-                    visible.
-                width
-                    Sets an explicit width for the text box. null
-                    (default) lets the text set the box width.
-                    Wider text will be clipped. There is no
-                    automatic wrapping; use <br> to start a new
-                    line.
-                x
-                    Sets the annotation's x position.
-                xanchor
-                    Sets the text box's horizontal position anchor
-                    This anchor binds the `x` position to the
-                    "left", "center" or "right" of the annotation.
-                    For example, if `x` is set to 1, `xref` to
-                    "paper" and `xanchor` to "right" then the
-                    right-most portion of the annotation lines up
-                    with the right-most edge of the plotting area.
-                    If "auto", the anchor is equivalent to "center"
-                    for data-referenced annotations or if there is
-                    an arrow, whereas for paper-referenced with no
-                    arrow, the anchor picked corresponds to the
-                    closest side.
-                xshift
-                    Shifts the position of the whole annotation and
-                    arrow to the right (positive) or left
-                    (negative) by this many pixels.
-                y
-                    Sets the annotation's y position.
-                yanchor
-                    Sets the text box's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the annotation.
-                    For example, if `y` is set to 1, `yref` to
-                    "paper" and `yanchor` to "top" then the top-
-                    most portion of the annotation lines up with
-                    the top-most edge of the plotting area. If
-                    "auto", the anchor is equivalent to "middle"
-                    for data-referenced annotations or if there is
-                    an arrow, whereas for paper-referenced with no
-                    arrow, the anchor picked corresponds to the
-                    closest side.
-                yshift
-                    Shifts the position of the whole annotation and
-                    arrow up (positive) or down (negative) by this
-                    many pixels.
-                z
-                    Sets the annotation's z position.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.scene.Annotation]
-        """
-        return self["annotations"]
-
-    @annotations.setter
-    def annotations(self, val):
-        self["annotations"] = val
-
-    # annotationdefaults
-    # ------------------
-    @property
-    def annotationdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.scene.annotationdefaults), sets the
-        default property values to use for elements of
-        layout.scene.annotations
-    
-        The 'annotationdefaults' property is an instance of Annotation
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.Annotation`
-          - A dict of string/value properties that will be passed
-            to the Annotation constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.Annotation
-        """
-        return self["annotationdefaults"]
-
-    @annotationdefaults.setter
-    def annotationdefaults(self, val):
-        self["annotationdefaults"] = val
-
-    # aspectmode
-    # ----------
-    @property
-    def aspectmode(self):
-        """
-        If "cube", this scene's axes are drawn as a cube, regardless of
-        the axes' ranges. If "data", this scene's axes are drawn in
-        proportion with the axes' ranges. If "manual", this scene's
-        axes are drawn in proportion with the input of "aspectratio"
-        (the default behavior if "aspectratio" is provided). If "auto",
-        this scene's axes are drawn using the results of "data" except
-        when one axis is more than four times the size of the two
-        others, where in that case the results of "cube" are used.
-    
-        The 'aspectmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'cube', 'data', 'manual']
-
-        Returns
-        -------
-        Any
-        """
-        return self["aspectmode"]
-
-    @aspectmode.setter
-    def aspectmode(self, val):
-        self["aspectmode"] = val
-
-    # aspectratio
-    # -----------
-    @property
-    def aspectratio(self):
-        """
-        Sets this scene's axis aspectratio.
-    
-        The 'aspectratio' property is an instance of Aspectratio
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.Aspectratio`
-          - A dict of string/value properties that will be passed
-            to the Aspectratio constructor
-    
-            Supported dict properties:
-                
-                x
-    
-                y
-    
-                z
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.Aspectratio
-        """
-        return self["aspectratio"]
-
-    @aspectratio.setter
-    def aspectratio(self, val):
-        self["aspectratio"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # camera
-    # ------
-    @property
-    def camera(self):
-        """
-        The 'camera' property is an instance of Camera
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.Camera`
-          - A dict of string/value properties that will be passed
-            to the Camera constructor
-    
-            Supported dict properties:
-                
-                center
-                    Sets the (x,y,z) components of the 'center'
-                    camera vector This vector determines the
-                    translation (x,y,z) space about the center of
-                    this scene. By default, there is no such
-                    translation.
-                eye
-                    Sets the (x,y,z) components of the 'eye' camera
-                    vector. This vector determines the view point
-                    about the origin of this scene.
-                projection
-                    :class:`plotly.graph_objects.layout.scene.camer
-                    a.Projection` instance or dict with compatible
-                    properties
-                up
-                    Sets the (x,y,z) components of the 'up' camera
-                    vector. This vector determines the up direction
-                    of this scene with respect to the page. The
-                    default is *{x: 0, y: 0, z: 1}* which means
-                    that the z axis points up.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.Camera
-        """
-        return self["camera"]
-
-    @camera.setter
-    def camera(self, val):
-        self["camera"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this scene subplot
-                    .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this scene subplot .
-                x
-                    Sets the horizontal domain of this scene
-                    subplot (in plot fraction).
-                y
-                    Sets the vertical domain of this scene subplot
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # dragmode
-    # --------
-    @property
-    def dragmode(self):
-        """
-        Determines the mode of drag interactions for this scene.
-    
-        The 'dragmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['orbit', 'turntable', 'zoom', 'pan', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["dragmode"]
-
-    @dragmode.setter
-    def dragmode(self, val):
-        self["dragmode"] = val
-
-    # hovermode
-    # ---------
-    @property
-    def hovermode(self):
-        """
-        Determines the mode of hover interactions for this scene.
-    
-        The 'hovermode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['closest', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["hovermode"]
-
-    @hovermode.setter
-    def hovermode(self, val):
-        self["hovermode"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in camera
-        attributes. Defaults to `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # xaxis
-    # -----
-    @property
-    def xaxis(self):
-        """
-        The 'xaxis' property is an instance of XAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.XAxis`
-          - A dict of string/value properties that will be passed
-            to the XAxis constructor
-    
-            Supported dict properties:
-                
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                backgroundcolor
-                    Sets the background color of this axis' wall.
-                calendar
-                    Sets the calendar system to use for `range` and
-                    `tick0` if this is a date axis. This does not
-                    set the calendar for interpreting data on this
-                    axis, that's specified in the trace or via the
-                    global `layout.calendar`
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                mirror
-                    Determines if the axis lines or/and ticks are
-                    mirrored to the opposite side of the plotting
-                    area. If True, the axis lines are mirrored. If
-                    "ticks", the axis lines and ticks are mirrored.
-                    If False, mirroring is disable. If "all", axis
-                    lines are mirrored on all shared-axes subplots.
-                    If "allticks", axis lines and ticks are
-                    mirrored on all shared-axes subplots.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data. Applies
-                    only to linear axes.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showaxeslabels
-                    Sets whether or not this axis is labeled
-                showbackground
-                    Sets whether or not this axis' wall has a
-                    background color.
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showspikes
-                    Sets whether or not spikes starting from data
-                    points to this axis' wall are shown on hover.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                spikecolor
-                    Sets the color of the spikes.
-                spikesides
-                    Sets whether or not spikes extending from the
-                    projection data points to this axis' wall
-                    boundaries are shown on hover.
-                spikethickness
-                    Sets the thickness (in px) of the spikes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    scene.xaxis.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.scene.xaxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of layout.scene.xaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.scene.xaxis
-                    .Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.scene.xaxis.title.font instead. Sets
-                    this axis' title font. Note that the title's
-                    font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-                zeroline
-                    Determines whether or not a line is drawn at
-                    along the 0 value of this axis. If True, the
-                    zero line is drawn on top of the grid lines.
-                zerolinecolor
-                    Sets the line color of the zero line.
-                zerolinewidth
-                    Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.XAxis
-        """
-        return self["xaxis"]
-
-    @xaxis.setter
-    def xaxis(self, val):
-        self["xaxis"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        The 'yaxis' property is an instance of YAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.YAxis`
-          - A dict of string/value properties that will be passed
-            to the YAxis constructor
-    
-            Supported dict properties:
-                
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                backgroundcolor
-                    Sets the background color of this axis' wall.
-                calendar
-                    Sets the calendar system to use for `range` and
-                    `tick0` if this is a date axis. This does not
-                    set the calendar for interpreting data on this
-                    axis, that's specified in the trace or via the
-                    global `layout.calendar`
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                mirror
-                    Determines if the axis lines or/and ticks are
-                    mirrored to the opposite side of the plotting
-                    area. If True, the axis lines are mirrored. If
-                    "ticks", the axis lines and ticks are mirrored.
-                    If False, mirroring is disable. If "all", axis
-                    lines are mirrored on all shared-axes subplots.
-                    If "allticks", axis lines and ticks are
-                    mirrored on all shared-axes subplots.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data. Applies
-                    only to linear axes.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showaxeslabels
-                    Sets whether or not this axis is labeled
-                showbackground
-                    Sets whether or not this axis' wall has a
-                    background color.
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showspikes
-                    Sets whether or not spikes starting from data
-                    points to this axis' wall are shown on hover.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                spikecolor
-                    Sets the color of the spikes.
-                spikesides
-                    Sets whether or not spikes extending from the
-                    projection data points to this axis' wall
-                    boundaries are shown on hover.
-                spikethickness
-                    Sets the thickness (in px) of the spikes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    scene.yaxis.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.scene.yaxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of layout.scene.yaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.scene.yaxis
-                    .Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.scene.yaxis.title.font instead. Sets
-                    this axis' title font. Note that the title's
-                    font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-                zeroline
-                    Determines whether or not a line is drawn at
-                    along the 0 value of this axis. If True, the
-                    zero line is drawn on top of the grid lines.
-                zerolinecolor
-                    Sets the line color of the zero line.
-                zerolinewidth
-                    Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.YAxis
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # zaxis
-    # -----
-    @property
-    def zaxis(self):
-        """
-        The 'zaxis' property is an instance of ZAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.ZAxis`
-          - A dict of string/value properties that will be passed
-            to the ZAxis constructor
-    
-            Supported dict properties:
-                
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                backgroundcolor
-                    Sets the background color of this axis' wall.
-                calendar
-                    Sets the calendar system to use for `range` and
-                    `tick0` if this is a date axis. This does not
-                    set the calendar for interpreting data on this
-                    axis, that's specified in the trace or via the
-                    global `layout.calendar`
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                mirror
-                    Determines if the axis lines or/and ticks are
-                    mirrored to the opposite side of the plotting
-                    area. If True, the axis lines are mirrored. If
-                    "ticks", the axis lines and ticks are mirrored.
-                    If False, mirroring is disable. If "all", axis
-                    lines are mirrored on all shared-axes subplots.
-                    If "allticks", axis lines and ticks are
-                    mirrored on all shared-axes subplots.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangemode
-                    If "normal", the range is computed in relation
-                    to the extrema of the input data. If *tozero*`,
-                    the range extends to 0, regardless of the input
-                    data If "nonnegative", the range is non-
-                    negative, regardless of the input data. Applies
-                    only to linear axes.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showaxeslabels
-                    Sets whether or not this axis is labeled
-                showbackground
-                    Sets whether or not this axis' wall has a
-                    background color.
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showspikes
-                    Sets whether or not spikes starting from data
-                    points to this axis' wall are shown on hover.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                spikecolor
-                    Sets the color of the spikes.
-                spikesides
-                    Sets whether or not spikes extending from the
-                    projection data points to this axis' wall
-                    boundaries are shown on hover.
-                spikethickness
-                    Sets the thickness (in px) of the spikes.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    scene.zaxis.Tickformatstop` instances or dicts
-                    with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.scene.zaxis.tickformatstopdefaults), sets
-                    the default property values to use for elements
-                    of layout.scene.zaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.scene.zaxis
-                    .Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.scene.zaxis.title.font instead. Sets
-                    this axis' title font. Note that the title's
-                    font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-                zeroline
-                    Determines whether or not a line is drawn at
-                    along the 0 value of this axis. If True, the
-                    zero line is drawn on top of the grid lines.
-                zerolinecolor
-                    Sets the line color of the zero line.
-                zerolinewidth
-                    Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.ZAxis
-        """
-        return self["zaxis"]
-
-    @zaxis.setter
-    def zaxis(self, val):
-        self["zaxis"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        annotations
-            A tuple of
-            :class:`plotly.graph_objects.layout.scene.Annotation`
-            instances or dicts with compatible properties
-        annotationdefaults
-            When used in a template (as
-            layout.template.layout.scene.annotationdefaults), sets
-            the default property values to use for elements of
-            layout.scene.annotations
-        aspectmode
-            If "cube", this scene's axes are drawn as a cube,
-            regardless of the axes' ranges. If "data", this scene's
-            axes are drawn in proportion with the axes' ranges. If
-            "manual", this scene's axes are drawn in proportion
-            with the input of "aspectratio" (the default behavior
-            if "aspectratio" is provided). If "auto", this scene's
-            axes are drawn using the results of "data" except when
-            one axis is more than four times the size of the two
-            others, where in that case the results of "cube" are
-            used.
-        aspectratio
-            Sets this scene's axis aspectratio.
-        bgcolor
-
-        camera
-            :class:`plotly.graph_objects.layout.scene.Camera`
-            instance or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.layout.scene.Domain`
-            instance or dict with compatible properties
-        dragmode
-            Determines the mode of drag interactions for this
-            scene.
-        hovermode
-            Determines the mode of hover interactions for this
-            scene.
-        uirevision
-            Controls persistence of user-driven changes in camera
-            attributes. Defaults to `layout.uirevision`.
-        xaxis
-            :class:`plotly.graph_objects.layout.scene.XAxis`
-            instance or dict with compatible properties
-        yaxis
-            :class:`plotly.graph_objects.layout.scene.YAxis`
-            instance or dict with compatible properties
-        zaxis
-            :class:`plotly.graph_objects.layout.scene.ZAxis`
-            instance or dict with compatible properties
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        annotations=None,
-        annotationdefaults=None,
-        aspectmode=None,
-        aspectratio=None,
-        bgcolor=None,
-        camera=None,
-        domain=None,
-        dragmode=None,
-        hovermode=None,
-        uirevision=None,
-        xaxis=None,
-        yaxis=None,
-        zaxis=None,
-        **kwargs
-    ):
-        """
-        Construct a new Scene object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Scene`
-        annotations
-            A tuple of
-            :class:`plotly.graph_objects.layout.scene.Annotation`
-            instances or dicts with compatible properties
-        annotationdefaults
-            When used in a template (as
-            layout.template.layout.scene.annotationdefaults), sets
-            the default property values to use for elements of
-            layout.scene.annotations
-        aspectmode
-            If "cube", this scene's axes are drawn as a cube,
-            regardless of the axes' ranges. If "data", this scene's
-            axes are drawn in proportion with the axes' ranges. If
-            "manual", this scene's axes are drawn in proportion
-            with the input of "aspectratio" (the default behavior
-            if "aspectratio" is provided). If "auto", this scene's
-            axes are drawn using the results of "data" except when
-            one axis is more than four times the size of the two
-            others, where in that case the results of "cube" are
-            used.
-        aspectratio
-            Sets this scene's axis aspectratio.
-        bgcolor
-
-        camera
-            :class:`plotly.graph_objects.layout.scene.Camera`
-            instance or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.layout.scene.Domain`
-            instance or dict with compatible properties
-        dragmode
-            Determines the mode of drag interactions for this
-            scene.
-        hovermode
-            Determines the mode of hover interactions for this
-            scene.
-        uirevision
-            Controls persistence of user-driven changes in camera
-            attributes. Defaults to `layout.uirevision`.
-        xaxis
-            :class:`plotly.graph_objects.layout.scene.XAxis`
-            instance or dict with compatible properties
-        yaxis
-            :class:`plotly.graph_objects.layout.scene.YAxis`
-            instance or dict with compatible properties
-        zaxis
-            :class:`plotly.graph_objects.layout.scene.ZAxis`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Scene
-        """
-        super(Scene, self).__init__("scene")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Scene 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Scene`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import scene as v_scene
-
-        # Initialize validators
-        # ---------------------
-        self._validators["annotations"] = v_scene.AnnotationsValidator()
-        self._validators["annotationdefaults"] = v_scene.AnnotationValidator()
-        self._validators["aspectmode"] = v_scene.AspectmodeValidator()
-        self._validators["aspectratio"] = v_scene.AspectratioValidator()
-        self._validators["bgcolor"] = v_scene.BgcolorValidator()
-        self._validators["camera"] = v_scene.CameraValidator()
-        self._validators["domain"] = v_scene.DomainValidator()
-        self._validators["dragmode"] = v_scene.DragmodeValidator()
-        self._validators["hovermode"] = v_scene.HovermodeValidator()
-        self._validators["uirevision"] = v_scene.UirevisionValidator()
-        self._validators["xaxis"] = v_scene.XAxisValidator()
-        self._validators["yaxis"] = v_scene.YAxisValidator()
-        self._validators["zaxis"] = v_scene.ZAxisValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("annotations", None)
-        self["annotations"] = annotations if annotations is not None else _v
-        _v = arg.pop("annotationdefaults", None)
-        self["annotationdefaults"] = (
-            annotationdefaults if annotationdefaults is not None else _v
-        )
-        _v = arg.pop("aspectmode", None)
-        self["aspectmode"] = aspectmode if aspectmode is not None else _v
-        _v = arg.pop("aspectratio", None)
-        self["aspectratio"] = aspectratio if aspectratio is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("camera", None)
-        self["camera"] = camera if camera is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("dragmode", None)
-        self["dragmode"] = dragmode if dragmode is not None else _v
-        _v = arg.pop("hovermode", None)
-        self["hovermode"] = hovermode if hovermode is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("xaxis", None)
-        self["xaxis"] = xaxis if xaxis is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-        _v = arg.pop("zaxis", None)
-        self["zaxis"] = zaxis if zaxis is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class RadialAxis(_BaseLayoutHierarchyType):
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        Polar chart subplots are not supported yet. This key has
-        currently no effect.
-    
-        The 'domain' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'domain[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'domain[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # endpadding
-    # ----------
-    @property
-    def endpadding(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots.
-    
-        The 'endpadding' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["endpadding"]
-
-    @endpadding.setter
-    def endpadding(self, val):
-        self["endpadding"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the orientation (an angle with respect to the
-        origin) of the radial axis.
-    
-        The 'orientation' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Defines the start and end point of this radial axis.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Determines whether or not the line bounding this
-        radial axis will be shown on the figure.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Determines whether or not the radial axis ticks will
-        feature tick labels.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the color of the tick lines on this radial axis.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the length of the tick lines on this radial
-        axis.
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickorientation
-    # ---------------
-    @property
-    def tickorientation(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the orientation (from the paper perspective) of
-        the radial axis tick labels.
-    
-        The 'tickorientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['horizontal', 'vertical']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickorientation"]
-
-    @tickorientation.setter
-    def tickorientation(self, val):
-        self["tickorientation"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the length of the tick lines on this radial
-        axis.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Determines whether or not this axis will be visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        domain
-            Polar chart subplots are not supported yet. This key
-            has currently no effect.
-        endpadding
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots.
-        orientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the orientation (an angle with
-            respect to the origin) of the radial axis.
-        range
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Defines the start and end point of
-            this radial axis.
-        showline
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the line
-            bounding this radial axis will be shown on the figure.
-        showticklabels
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the radial
-            axis ticks will feature tick labels.
-        tickcolor
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the color of the tick lines on
-            this radial axis.
-        ticklen
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this radial axis.
-        tickorientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the orientation (from the paper
-            perspective) of the radial axis tick labels.
-        ticksuffix
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this radial axis.
-        visible
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not this axis
-            will be visible.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        domain=None,
-        endpadding=None,
-        orientation=None,
-        range=None,
-        showline=None,
-        showticklabels=None,
-        tickcolor=None,
-        ticklen=None,
-        tickorientation=None,
-        ticksuffix=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new RadialAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.RadialAxis`
-        domain
-            Polar chart subplots are not supported yet. This key
-            has currently no effect.
-        endpadding
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots.
-        orientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the orientation (an angle with
-            respect to the origin) of the radial axis.
-        range
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Defines the start and end point of
-            this radial axis.
-        showline
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the line
-            bounding this radial axis will be shown on the figure.
-        showticklabels
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the radial
-            axis ticks will feature tick labels.
-        tickcolor
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the color of the tick lines on
-            this radial axis.
-        ticklen
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this radial axis.
-        tickorientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the orientation (from the paper
-            perspective) of the radial axis tick labels.
-        ticksuffix
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this radial axis.
-        visible
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not this axis
-            will be visible.
-
-        Returns
-        -------
-        RadialAxis
-        """
-        super(RadialAxis, self).__init__("radialaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.RadialAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.RadialAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import radialaxis as v_radialaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["domain"] = v_radialaxis.DomainValidator()
-        self._validators["endpadding"] = v_radialaxis.EndpaddingValidator()
-        self._validators["orientation"] = v_radialaxis.OrientationValidator()
-        self._validators["range"] = v_radialaxis.RangeValidator()
-        self._validators["showline"] = v_radialaxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_radialaxis.ShowticklabelsValidator()
-        self._validators["tickcolor"] = v_radialaxis.TickcolorValidator()
-        self._validators["ticklen"] = v_radialaxis.TicklenValidator()
-        self._validators["tickorientation"] = v_radialaxis.TickorientationValidator()
-        self._validators["ticksuffix"] = v_radialaxis.TicksuffixValidator()
-        self._validators["visible"] = v_radialaxis.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("endpadding", None)
-        self["endpadding"] = endpadding if endpadding is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickorientation", None)
-        self["tickorientation"] = tickorientation if tickorientation is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Polar(_BaseLayoutHierarchyType):
-
-    # angularaxis
-    # -----------
-    @property
-    def angularaxis(self):
-        """
-        The 'angularaxis' property is an instance of AngularAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.AngularAxis`
-          - A dict of string/value properties that will be passed
-            to the AngularAxis constructor
-    
-            Supported dict properties:
-                
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                direction
-                    Sets the direction corresponding to positive
-                    angles.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                period
-                    Set the angular period. Has an effect only when
-                    `angularaxis.type` is "category".
-                rotation
-                    Sets that start position (in degrees) of the
-                    angular axis By default, polar subplots with
-                    `direction` set to "counterclockwise" get a
-                    `rotation` of 0 which corresponds to due East
-                    (like what mathematicians prefer). In turn,
-                    polar with `direction` set to "clockwise" get a
-                    rotation of 90 which corresponds to due North
-                    (like on a compass),
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thetaunit
-                    Sets the format unit of the formatted "theta"
-                    values. Has an effect only when
-                    `angularaxis.type` is "linear".
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    polar.angularaxis.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.polar.angularaxis.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of
-                    layout.polar.angularaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                type
-                    Sets the angular axis type. If "linear", set
-                    `thetaunit` to determine the unit in which axis
-                    value are shown. If *category, use `period` to
-                    set the number of integer coordinates around
-                    polar axis.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `rotation`. Defaults to
-                    `polar<N>.uirevision`.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.AngularAxis
-        """
-        return self["angularaxis"]
-
-    @angularaxis.setter
-    def angularaxis(self, val):
-        self["angularaxis"] = val
-
-    # bargap
-    # ------
-    @property
-    def bargap(self):
-        """
-        Sets the gap between bars of adjacent location coordinates.
-        Values are unitless, they represent fractions of the minimum
-        difference in bar positions in the data.
-    
-        The 'bargap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["bargap"]
-
-    @bargap.setter
-    def bargap(self, val):
-        self["bargap"] = val
-
-    # barmode
-    # -------
-    @property
-    def barmode(self):
-        """
-        Determines how bars at the same location coordinate are
-        displayed on the graph. With "stack", the bars are stacked on
-        top of one another With "overlay", the bars are plotted over
-        one another, you might need to an "opacity" to see multiple
-        bars.
-    
-        The 'barmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['stack', 'overlay']
-
-        Returns
-        -------
-        Any
-        """
-        return self["barmode"]
-
-    @barmode.setter
-    def barmode(self, val):
-        self["barmode"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Set the background color of the subplot
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this polar subplot
-                    .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this polar subplot .
-                x
-                    Sets the horizontal domain of this polar
-                    subplot (in plot fraction).
-                y
-                    Sets the vertical domain of this polar subplot
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # gridshape
-    # ---------
-    @property
-    def gridshape(self):
-        """
-        Determines if the radial axis grid lines and angular axis line
-        are drawn as "circular" sectors or as "linear" (polygon)
-        sectors. Has an effect only when the angular axis has `type`
-        "category". Note that `radialaxis.angle` is snapped to the
-        angle of the closest vertex when `gridshape` is "circular" (so
-        that radial axis scale is the same as the data scale).
-    
-        The 'gridshape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['circular', 'linear']
-
-        Returns
-        -------
-        Any
-        """
-        return self["gridshape"]
-
-    @gridshape.setter
-    def gridshape(self, val):
-        self["gridshape"] = val
-
-    # hole
-    # ----
-    @property
-    def hole(self):
-        """
-        Sets the fraction of the radius to cut out of the polar
-        subplot.
-    
-        The 'hole' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["hole"]
-
-    @hole.setter
-    def hole(self, val):
-        self["hole"] = val
-
-    # radialaxis
-    # ----------
-    @property
-    def radialaxis(self):
-        """
-        The 'radialaxis' property is an instance of RadialAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.RadialAxis`
-          - A dict of string/value properties that will be passed
-            to the RadialAxis constructor
-    
-            Supported dict properties:
-                
-                angle
-                    Sets the angle (in degrees) from which the
-                    radial axis is drawn. Note that by default,
-                    radial axis line on the theta=0 line
-                    corresponds to a line pointing right (like what
-                    mathematicians prefer). Defaults to the first
-                    `polar.sector` angle.
-                autorange
-                    Determines whether or not the range of this
-                    axis is computed in relation to the input data.
-                    See `rangemode` for more info. If `range` is
-                    provided, then `autorange` is set to False.
-                calendar
-                    Sets the calendar system to use for `range` and
-                    `tick0` if this is a date axis. This does not
-                    set the calendar for interpreting data on this
-                    axis, that's specified in the trace or via the
-                    global `layout.calendar`
-                categoryarray
-                    Sets the order in which categories on this axis
-                    appear. Only has an effect if `categoryorder`
-                    is set to "array". Used with `categoryorder`.
-                categoryarraysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  categoryarray .
-                categoryorder
-                    Specifies the ordering logic for the case of
-                    categorical variables. By default, plotly uses
-                    "trace", which specifies the order that is
-                    present in the data supplied. Set
-                    `categoryorder` to *category ascending* or
-                    *category descending* if order should be
-                    determined by the alphanumerical order of the
-                    category names. Set `categoryorder` to "array"
-                    to derive the ordering from the attribute
-                    `categoryarray`. If a category is not found in
-                    the `categoryarray` array, the sorting behavior
-                    for that attribute will be identical to the
-                    "trace" mode. The unspecified categories will
-                    follow the categories in `categoryarray`. Set
-                    `categoryorder` to *total ascending* or *total
-                    descending* if order should be determined by
-                    the numerical order of the values. Similarly,
-                    the order can be determined by the min, max,
-                    sum, mean or median of all the values.
-                color
-                    Sets default for all colors associated with
-                    this axis all at once: line, font, tick, and
-                    grid colors. Grid color is lightened by
-                    blending this with the plot background
-                    Individual pieces can override this.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                gridcolor
-                    Sets the color of the grid lines.
-                gridwidth
-                    Sets the width (in px) of the grid lines.
-                hoverformat
-                    Sets the hover text formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                layer
-                    Sets the layer on which this axis is displayed.
-                    If *above traces*, this axis is displayed above
-                    all the subplot's traces If *below traces*,
-                    this axis is displayed below all the subplot's
-                    traces, but above the grid lines. Useful when
-                    used together with scatter-like traces with
-                    `cliponaxis` set to False to show markers
-                    and/or text nodes above this axis.
-                linecolor
-                    Sets the axis line color.
-                linewidth
-                    Sets the width (in px) of the axis line.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                range
-                    Sets the range of this axis. If the axis `type`
-                    is "log", then you must take the log of your
-                    desired range (e.g. to set the range from 1 to
-                    100, set the range from 0 to 2). If the axis
-                    `type` is "date", it should be date strings,
-                    like date data, though Date objects and unix
-                    milliseconds will be accepted and converted to
-                    strings. If the axis `type` is "category", it
-                    should be numbers, using the scale where each
-                    category is assigned a serial number from zero
-                    in the order it appears.
-                rangemode
-                    If *tozero*`, the range extends to 0,
-                    regardless of the input data If "nonnegative",
-                    the range is non-negative, regardless of the
-                    input data. If "normal", the range is computed
-                    in relation to the extrema of the input data
-                    (same behavior as for cartesian axes).
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showgrid
-                    Determines whether or not grid lines are drawn.
-                    If True, the grid lines are drawn at every tick
-                    mark.
-                showline
-                    Determines whether or not a line bounding this
-                    axis is drawn.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                side
-                    Determines on which side of radial axis line
-                    the tick and tick labels appear.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the tick font.
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    polar.radialaxis.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.polar.radialaxis.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of
-                    layout.polar.radialaxis.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.polar.radia
-                    laxis.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.polar.radialaxis.title.font instead.
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                type
-                    Sets the axis type. By default, plotly attempts
-                    to determined the axis type by looking into the
-                    data of the traces that referenced the axis in
-                    question.
-                uirevision
-                    Controls persistence of user-driven changes in
-                    axis `range`, `autorange`, `angle`, and `title`
-                    if in `editable: true` configuration. Defaults
-                    to `polar<N>.uirevision`.
-                visible
-                    A single toggle to hide the axis while
-                    preserving interaction like dragging. Default
-                    is true when a cheater plot is present on the
-                    axis, otherwise false
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.RadialAxis
-        """
-        return self["radialaxis"]
-
-    @radialaxis.setter
-    def radialaxis(self, val):
-        self["radialaxis"] = val
-
-    # sector
-    # ------
-    @property
-    def sector(self):
-        """
-        Sets angular span of this polar subplot with two angles (in
-        degrees). Sector are assumed to be spanned in the
-        counterclockwise direction with 0 corresponding to rightmost
-        limit of the polar subplot.
-    
-        The 'sector' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'sector[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'sector[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["sector"]
-
-    @sector.setter
-    def sector(self, val):
-        self["sector"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis attributes,
-        if not overridden in the individual axes. Defaults to
-        `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        angularaxis
-            :class:`plotly.graph_objects.layout.polar.AngularAxis`
-            instance or dict with compatible properties
-        bargap
-            Sets the gap between bars of adjacent location
-            coordinates. Values are unitless, they represent
-            fractions of the minimum difference in bar positions in
-            the data.
-        barmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "stack", the bars are
-            stacked on top of one another With "overlay", the bars
-            are plotted over one another, you might need to an
-            "opacity" to see multiple bars.
-        bgcolor
-            Set the background color of the subplot
-        domain
-            :class:`plotly.graph_objects.layout.polar.Domain`
-            instance or dict with compatible properties
-        gridshape
-            Determines if the radial axis grid lines and angular
-            axis line are drawn as "circular" sectors or as
-            "linear" (polygon) sectors. Has an effect only when the
-            angular axis has `type` "category". Note that
-            `radialaxis.angle` is snapped to the angle of the
-            closest vertex when `gridshape` is "circular" (so that
-            radial axis scale is the same as the data scale).
-        hole
-            Sets the fraction of the radius to cut out of the polar
-            subplot.
-        radialaxis
-            :class:`plotly.graph_objects.layout.polar.RadialAxis`
-            instance or dict with compatible properties
-        sector
-            Sets angular span of this polar subplot with two angles
-            (in degrees). Sector are assumed to be spanned in the
-            counterclockwise direction with 0 corresponding to
-            rightmost limit of the polar subplot.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            attributes, if not overridden in the individual axes.
-            Defaults to `layout.uirevision`.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        angularaxis=None,
-        bargap=None,
-        barmode=None,
-        bgcolor=None,
-        domain=None,
-        gridshape=None,
-        hole=None,
-        radialaxis=None,
-        sector=None,
-        uirevision=None,
-        **kwargs
-    ):
-        """
-        Construct a new Polar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Polar`
-        angularaxis
-            :class:`plotly.graph_objects.layout.polar.AngularAxis`
-            instance or dict with compatible properties
-        bargap
-            Sets the gap between bars of adjacent location
-            coordinates. Values are unitless, they represent
-            fractions of the minimum difference in bar positions in
-            the data.
-        barmode
-            Determines how bars at the same location coordinate are
-            displayed on the graph. With "stack", the bars are
-            stacked on top of one another With "overlay", the bars
-            are plotted over one another, you might need to an
-            "opacity" to see multiple bars.
-        bgcolor
-            Set the background color of the subplot
-        domain
-            :class:`plotly.graph_objects.layout.polar.Domain`
-            instance or dict with compatible properties
-        gridshape
-            Determines if the radial axis grid lines and angular
-            axis line are drawn as "circular" sectors or as
-            "linear" (polygon) sectors. Has an effect only when the
-            angular axis has `type` "category". Note that
-            `radialaxis.angle` is snapped to the angle of the
-            closest vertex when `gridshape` is "circular" (so that
-            radial axis scale is the same as the data scale).
-        hole
-            Sets the fraction of the radius to cut out of the polar
-            subplot.
-        radialaxis
-            :class:`plotly.graph_objects.layout.polar.RadialAxis`
-            instance or dict with compatible properties
-        sector
-            Sets angular span of this polar subplot with two angles
-            (in degrees). Sector are assumed to be spanned in the
-            counterclockwise direction with 0 corresponding to
-            rightmost limit of the polar subplot.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            attributes, if not overridden in the individual axes.
-            Defaults to `layout.uirevision`.
-
-        Returns
-        -------
-        Polar
-        """
-        super(Polar, self).__init__("polar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Polar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Polar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import polar as v_polar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["angularaxis"] = v_polar.AngularAxisValidator()
-        self._validators["bargap"] = v_polar.BargapValidator()
-        self._validators["barmode"] = v_polar.BarmodeValidator()
-        self._validators["bgcolor"] = v_polar.BgcolorValidator()
-        self._validators["domain"] = v_polar.DomainValidator()
-        self._validators["gridshape"] = v_polar.GridshapeValidator()
-        self._validators["hole"] = v_polar.HoleValidator()
-        self._validators["radialaxis"] = v_polar.RadialAxisValidator()
-        self._validators["sector"] = v_polar.SectorValidator()
-        self._validators["uirevision"] = v_polar.UirevisionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("angularaxis", None)
-        self["angularaxis"] = angularaxis if angularaxis is not None else _v
-        _v = arg.pop("bargap", None)
-        self["bargap"] = bargap if bargap is not None else _v
-        _v = arg.pop("barmode", None)
-        self["barmode"] = barmode if barmode is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("gridshape", None)
-        self["gridshape"] = gridshape if gridshape is not None else _v
-        _v = arg.pop("hole", None)
-        self["hole"] = hole if hole is not None else _v
-        _v = arg.pop("radialaxis", None)
-        self["radialaxis"] = radialaxis if radialaxis is not None else _v
-        _v = arg.pop("sector", None)
-        self["sector"] = sector if sector is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Modebar(_BaseLayoutHierarchyType):
-
-    # activecolor
-    # -----------
-    @property
-    def activecolor(self):
-        """
-        Sets the color of the active or hovered on icons in the
-        modebar.
-    
-        The 'activecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["activecolor"]
-
-    @activecolor.setter
-    def activecolor(self, val):
-        self["activecolor"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the modebar.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the icons in the modebar.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the modebar.
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes related to the
-        modebar, including `hovermode`, `dragmode`, and `showspikes` at
-        both the root level and inside subplots. Defaults to
-        `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        activecolor
-            Sets the color of the active or hovered on icons in the
-            modebar.
-        bgcolor
-            Sets the background color of the modebar.
-        color
-            Sets the color of the icons in the modebar.
-        orientation
-            Sets the orientation of the modebar.
-        uirevision
-            Controls persistence of user-driven changes related to
-            the modebar, including `hovermode`, `dragmode`, and
-            `showspikes` at both the root level and inside
-            subplots. Defaults to `layout.uirevision`.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        activecolor=None,
-        bgcolor=None,
-        color=None,
-        orientation=None,
-        uirevision=None,
-        **kwargs
-    ):
-        """
-        Construct a new Modebar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Modebar`
-        activecolor
-            Sets the color of the active or hovered on icons in the
-            modebar.
-        bgcolor
-            Sets the background color of the modebar.
-        color
-            Sets the color of the icons in the modebar.
-        orientation
-            Sets the orientation of the modebar.
-        uirevision
-            Controls persistence of user-driven changes related to
-            the modebar, including `hovermode`, `dragmode`, and
-            `showspikes` at both the root level and inside
-            subplots. Defaults to `layout.uirevision`.
-
-        Returns
-        -------
-        Modebar
-        """
-        super(Modebar, self).__init__("modebar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Modebar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Modebar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import modebar as v_modebar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["activecolor"] = v_modebar.ActivecolorValidator()
-        self._validators["bgcolor"] = v_modebar.BgcolorValidator()
-        self._validators["color"] = v_modebar.ColorValidator()
-        self._validators["orientation"] = v_modebar.OrientationValidator()
-        self._validators["uirevision"] = v_modebar.UirevisionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("activecolor", None)
-        self["activecolor"] = activecolor if activecolor is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Margin(_BaseLayoutHierarchyType):
-
-    # autoexpand
-    # ----------
-    @property
-    def autoexpand(self):
-        """
-        Turns on/off margin expansion computations. Legends, colorbars,
-        updatemenus, sliders, axis rangeselector and rangeslider are
-        allowed to push the margins by defaults.
-    
-        The 'autoexpand' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autoexpand"]
-
-    @autoexpand.setter
-    def autoexpand(self, val):
-        self["autoexpand"] = val
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        Sets the bottom margin (in px).
-    
-        The 'b' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # l
-    # -
-    @property
-    def l(self):
-        """
-        Sets the left margin (in px).
-    
-        The 'l' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["l"]
-
-    @l.setter
-    def l(self, val):
-        self["l"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        Sets the amount of padding (in px) between the plotting area
-        and the axis lines
-    
-        The 'pad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        Sets the right margin (in px).
-    
-        The 'r' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        Sets the top margin (in px).
-    
-        The 't' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autoexpand
-            Turns on/off margin expansion computations. Legends,
-            colorbars, updatemenus, sliders, axis rangeselector and
-            rangeslider are allowed to push the margins by
-            defaults.
-        b
-            Sets the bottom margin (in px).
-        l
-            Sets the left margin (in px).
-        pad
-            Sets the amount of padding (in px) between the plotting
-            area and the axis lines
-        r
-            Sets the right margin (in px).
-        t
-            Sets the top margin (in px).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autoexpand=None,
-        b=None,
-        l=None,
-        pad=None,
-        r=None,
-        t=None,
-        **kwargs
-    ):
-        """
-        Construct a new Margin object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Margin`
-        autoexpand
-            Turns on/off margin expansion computations. Legends,
-            colorbars, updatemenus, sliders, axis rangeselector and
-            rangeslider are allowed to push the margins by
-            defaults.
-        b
-            Sets the bottom margin (in px).
-        l
-            Sets the left margin (in px).
-        pad
-            Sets the amount of padding (in px) between the plotting
-            area and the axis lines
-        r
-            Sets the right margin (in px).
-        t
-            Sets the top margin (in px).
-
-        Returns
-        -------
-        Margin
-        """
-        super(Margin, self).__init__("margin")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Margin 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Margin`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import margin as v_margin
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autoexpand"] = v_margin.AutoexpandValidator()
-        self._validators["b"] = v_margin.BValidator()
-        self._validators["l"] = v_margin.LValidator()
-        self._validators["pad"] = v_margin.PadValidator()
-        self._validators["r"] = v_margin.RValidator()
-        self._validators["t"] = v_margin.TValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autoexpand", None)
-        self["autoexpand"] = autoexpand if autoexpand is not None else _v
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("l", None)
-        self["l"] = l if l is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Mapbox(_BaseLayoutHierarchyType):
-
-    # accesstoken
-    # -----------
-    @property
-    def accesstoken(self):
-        """
-        Sets the mapbox access token to be used for this mapbox map.
-        Alternatively, the mapbox access token can be set in the
-        configuration options under `mapboxAccessToken`. Note that
-        accessToken are only required when `style` (e.g with values :
-        basic, streets, outdoors, light, dark, satellite, satellite-
-        streets ) and/or a layout layer references the Mapbox server.
-    
-        The 'accesstoken' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["accesstoken"]
-
-    @accesstoken.setter
-    def accesstoken(self, val):
-        self["accesstoken"] = val
-
-    # bearing
-    # -------
-    @property
-    def bearing(self):
-        """
-        Sets the bearing angle of the map in degrees counter-clockwise
-        from North (mapbox.bearing).
-    
-        The 'bearing' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["bearing"]
-
-    @bearing.setter
-    def bearing(self, val):
-        self["bearing"] = val
-
-    # center
-    # ------
-    @property
-    def center(self):
-        """
-        The 'center' property is an instance of Center
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.Center`
-          - A dict of string/value properties that will be passed
-            to the Center constructor
-    
-            Supported dict properties:
-                
-                lat
-                    Sets the latitude of the center of the map (in
-                    degrees North).
-                lon
-                    Sets the longitude of the center of the map (in
-                    degrees East).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.Center
-        """
-        return self["center"]
-
-    @center.setter
-    def center(self, val):
-        self["center"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this mapbox subplot
-                    .
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this mapbox subplot .
-                x
-                    Sets the horizontal domain of this mapbox
-                    subplot (in plot fraction).
-                y
-                    Sets the vertical domain of this mapbox subplot
-                    (in plot fraction).
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # layers
-    # ------
-    @property
-    def layers(self):
-        """
-        The 'layers' property is a tuple of instances of
-        Layer that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.mapbox.Layer
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Layer constructor
-    
-            Supported dict properties:
-                
-                below
-                    Determines if the layer will be inserted before
-                    the layer with the specified ID. If omitted or
-                    set to '', the layer will be inserted above
-                    every existing layer.
-                circle
-                    :class:`plotly.graph_objects.layout.mapbox.laye
-                    r.Circle` instance or dict with compatible
-                    properties
-                color
-                    Sets the primary layer color. If `type` is
-                    "circle", color corresponds to the circle color
-                    (mapbox.layer.paint.circle-color) If `type` is
-                    "line", color corresponds to the line color
-                    (mapbox.layer.paint.line-color) If `type` is
-                    "fill", color corresponds to the fill color
-                    (mapbox.layer.paint.fill-color) If `type` is
-                    "symbol", color corresponds to the icon color
-                    (mapbox.layer.paint.icon-color)
-                coordinates
-                    Sets the coordinates array contains [longitude,
-                    latitude] pairs for the image corners listed in
-                    clockwise order: top left, top right, bottom
-                    right, bottom left. Only has an effect for
-                    "image" `sourcetype`.
-                fill
-                    :class:`plotly.graph_objects.layout.mapbox.laye
-                    r.Fill` instance or dict with compatible
-                    properties
-                line
-                    :class:`plotly.graph_objects.layout.mapbox.laye
-                    r.Line` instance or dict with compatible
-                    properties
-                maxzoom
-                    Sets the maximum zoom level
-                    (mapbox.layer.maxzoom). At zoom levels equal to
-                    or greater than the maxzoom, the layer will be
-                    hidden.
-                minzoom
-                    Sets the minimum zoom level
-                    (mapbox.layer.minzoom). At zoom levels less
-                    than the minzoom, the layer will be hidden.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                opacity
-                    Sets the opacity of the layer. If `type` is
-                    "circle", opacity corresponds to the circle
-                    opacity (mapbox.layer.paint.circle-opacity) If
-                    `type` is "line", opacity corresponds to the
-                    line opacity (mapbox.layer.paint.line-opacity)
-                    If `type` is "fill", opacity corresponds to the
-                    fill opacity (mapbox.layer.paint.fill-opacity)
-                    If `type` is "symbol", opacity corresponds to
-                    the icon/text opacity (mapbox.layer.paint.text-
-                    opacity)
-                source
-                    Sets the source data for this layer
-                    (mapbox.layer.source). When `sourcetype` is set
-                    to "geojson", `source` can be a URL to a
-                    GeoJSON or a GeoJSON object. When `sourcetype`
-                    is set to "vector" or "raster", `source` can be
-                    a URL or an array of tile URLs. When
-                    `sourcetype` is set to "image", `source` can be
-                    a URL to an image.
-                sourceattribution
-                    Sets the attribution for this source.
-                sourcelayer
-                    Specifies the layer to use from a vector tile
-                    source (mapbox.layer.source-layer). Required
-                    for "vector" source type that supports multiple
-                    layers.
-                sourcetype
-                    Sets the source type for this layer, that is
-                    the type of the layer data.
-                symbol
-                    :class:`plotly.graph_objects.layout.mapbox.laye
-                    r.Symbol` instance or dict with compatible
-                    properties
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                type
-                    Sets the layer type, that is the how the layer
-                    data set in `source` will be rendered With
-                    `sourcetype` set to "geojson", the following
-                    values are allowed: "circle", "line", "fill"
-                    and "symbol". but note that "line" and "fill"
-                    are not compatible with Point GeoJSON
-                    geometries. With `sourcetype` set to "vector",
-                    the following values are allowed:  "circle",
-                    "line", "fill" and "symbol". With `sourcetype`
-                    set to "raster" or `*image*`, only the "raster"
-                    value is allowed.
-                visible
-                    Determines whether this layer is displayed
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.mapbox.Layer]
-        """
-        return self["layers"]
-
-    @layers.setter
-    def layers(self, val):
-        self["layers"] = val
-
-    # layerdefaults
-    # -------------
-    @property
-    def layerdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.mapbox.layerdefaults), sets the default
-        property values to use for elements of layout.mapbox.layers
-    
-        The 'layerdefaults' property is an instance of Layer
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.Layer`
-          - A dict of string/value properties that will be passed
-            to the Layer constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.Layer
-        """
-        return self["layerdefaults"]
-
-    @layerdefaults.setter
-    def layerdefaults(self, val):
-        self["layerdefaults"] = val
-
-    # pitch
-    # -----
-    @property
-    def pitch(self):
-        """
-        Sets the pitch angle of the map (in degrees, where 0 means
-        perpendicular to the surface of the map) (mapbox.pitch).
-    
-        The 'pitch' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["pitch"]
-
-    @pitch.setter
-    def pitch(self, val):
-        self["pitch"] = val
-
-    # style
-    # -----
-    @property
-    def style(self):
-        """
-        Defines the map layers that are rendered by default below the
-        trace layers defined in `data`, which are themselves by default
-        rendered below the layers defined in `layout.mapbox.layers`.
-        These layers can be defined either explicitly as a Mapbox Style
-        object which can contain multiple layer definitions that load
-        data from any public or private Tile Map Service (TMS or XYZ)
-        or Web Map Service (WMS) or implicitly by using one of the
-        built-in style objects which use WMSes which do not require any
-        access tokens, or by using a default Mapbox style or custom
-        Mapbox style URL, both of which require a Mapbox access token
-        Note that Mapbox access token can be set in the `accesstoken`
-        attribute or in the `mapboxAccessToken` config option.  Mapbox
-        Style objects are of the form described in the Mapbox GL JS
-        documentation available at https://docs.mapbox.com/mapbox-gl-
-        js/style-spec  The built-in plotly.js styles objects are: open-
-        street-map, white-bg, carto-positron, carto-darkmatter, stamen-
-        terrain, stamen-toner, stamen-watercolor  The built-in Mapbox
-        styles are: basic, streets, outdoors, light, dark, satellite,
-        satellite-streets  Mapbox style URLs are of the form:
-        mapbox://mapbox.mapbox-<name>-<version>
-    
-        The 'style' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["style"]
-
-    @style.setter
-    def style(self, val):
-        self["style"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in the view:
-        `center`, `zoom`, `bearing`, `pitch`. Defaults to
-        `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # zoom
-    # ----
-    @property
-    def zoom(self):
-        """
-        Sets the zoom level of the map (mapbox.zoom).
-    
-        The 'zoom' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zoom"]
-
-    @zoom.setter
-    def zoom(self, val):
-        self["zoom"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        accesstoken
-            Sets the mapbox access token to be used for this mapbox
-            map. Alternatively, the mapbox access token can be set
-            in the configuration options under `mapboxAccessToken`.
-            Note that accessToken are only required when `style`
-            (e.g with values : basic, streets, outdoors, light,
-            dark, satellite, satellite-streets ) and/or a layout
-            layer references the Mapbox server.
-        bearing
-            Sets the bearing angle of the map in degrees counter-
-            clockwise from North (mapbox.bearing).
-        center
-            :class:`plotly.graph_objects.layout.mapbox.Center`
-            instance or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.layout.mapbox.Domain`
-            instance or dict with compatible properties
-        layers
-            A tuple of
-            :class:`plotly.graph_objects.layout.mapbox.Layer`
-            instances or dicts with compatible properties
-        layerdefaults
-            When used in a template (as
-            layout.template.layout.mapbox.layerdefaults), sets the
-            default property values to use for elements of
-            layout.mapbox.layers
-        pitch
-            Sets the pitch angle of the map (in degrees, where 0
-            means perpendicular to the surface of the map)
-            (mapbox.pitch).
-        style
-            Defines the map layers that are rendered by default
-            below the trace layers defined in `data`, which are
-            themselves by default rendered below the layers defined
-            in `layout.mapbox.layers`.  These layers can be defined
-            either explicitly as a Mapbox Style object which can
-            contain multiple layer definitions that load data from
-            any public or private Tile Map Service (TMS or XYZ) or
-            Web Map Service (WMS) or implicitly by using one of the
-            built-in style objects which use WMSes which do not
-            require any access tokens, or by using a default Mapbox
-            style or custom Mapbox style URL, both of which require
-            a Mapbox access token  Note that Mapbox access token
-            can be set in the `accesstoken` attribute or in the
-            `mapboxAccessToken` config option.  Mapbox Style
-            objects are of the form described in the Mapbox GL JS
-            documentation available at
-            https://docs.mapbox.com/mapbox-gl-js/style-spec  The
-            built-in plotly.js styles objects are: open-street-map,
-            white-bg, carto-positron, carto-darkmatter, stamen-
-            terrain, stamen-toner, stamen-watercolor  The built-in
-            Mapbox styles are: basic, streets, outdoors, light,
-            dark, satellite, satellite-streets  Mapbox style URLs
-            are of the form:
-            mapbox://mapbox.mapbox-<name>-<version>
-        uirevision
-            Controls persistence of user-driven changes in the
-            view: `center`, `zoom`, `bearing`, `pitch`. Defaults to
-            `layout.uirevision`.
-        zoom
-            Sets the zoom level of the map (mapbox.zoom).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        accesstoken=None,
-        bearing=None,
-        center=None,
-        domain=None,
-        layers=None,
-        layerdefaults=None,
-        pitch=None,
-        style=None,
-        uirevision=None,
-        zoom=None,
-        **kwargs
-    ):
-        """
-        Construct a new Mapbox object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Mapbox`
-        accesstoken
-            Sets the mapbox access token to be used for this mapbox
-            map. Alternatively, the mapbox access token can be set
-            in the configuration options under `mapboxAccessToken`.
-            Note that accessToken are only required when `style`
-            (e.g with values : basic, streets, outdoors, light,
-            dark, satellite, satellite-streets ) and/or a layout
-            layer references the Mapbox server.
-        bearing
-            Sets the bearing angle of the map in degrees counter-
-            clockwise from North (mapbox.bearing).
-        center
-            :class:`plotly.graph_objects.layout.mapbox.Center`
-            instance or dict with compatible properties
-        domain
-            :class:`plotly.graph_objects.layout.mapbox.Domain`
-            instance or dict with compatible properties
-        layers
-            A tuple of
-            :class:`plotly.graph_objects.layout.mapbox.Layer`
-            instances or dicts with compatible properties
-        layerdefaults
-            When used in a template (as
-            layout.template.layout.mapbox.layerdefaults), sets the
-            default property values to use for elements of
-            layout.mapbox.layers
-        pitch
-            Sets the pitch angle of the map (in degrees, where 0
-            means perpendicular to the surface of the map)
-            (mapbox.pitch).
-        style
-            Defines the map layers that are rendered by default
-            below the trace layers defined in `data`, which are
-            themselves by default rendered below the layers defined
-            in `layout.mapbox.layers`.  These layers can be defined
-            either explicitly as a Mapbox Style object which can
-            contain multiple layer definitions that load data from
-            any public or private Tile Map Service (TMS or XYZ) or
-            Web Map Service (WMS) or implicitly by using one of the
-            built-in style objects which use WMSes which do not
-            require any access tokens, or by using a default Mapbox
-            style or custom Mapbox style URL, both of which require
-            a Mapbox access token  Note that Mapbox access token
-            can be set in the `accesstoken` attribute or in the
-            `mapboxAccessToken` config option.  Mapbox Style
-            objects are of the form described in the Mapbox GL JS
-            documentation available at
-            https://docs.mapbox.com/mapbox-gl-js/style-spec  The
-            built-in plotly.js styles objects are: open-street-map,
-            white-bg, carto-positron, carto-darkmatter, stamen-
-            terrain, stamen-toner, stamen-watercolor  The built-in
-            Mapbox styles are: basic, streets, outdoors, light,
-            dark, satellite, satellite-streets  Mapbox style URLs
-            are of the form:
-            mapbox://mapbox.mapbox-<name>-<version>
-        uirevision
-            Controls persistence of user-driven changes in the
-            view: `center`, `zoom`, `bearing`, `pitch`. Defaults to
-            `layout.uirevision`.
-        zoom
-            Sets the zoom level of the map (mapbox.zoom).
-
-        Returns
-        -------
-        Mapbox
-        """
-        super(Mapbox, self).__init__("mapbox")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Mapbox 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Mapbox`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import mapbox as v_mapbox
-
-        # Initialize validators
-        # ---------------------
-        self._validators["accesstoken"] = v_mapbox.AccesstokenValidator()
-        self._validators["bearing"] = v_mapbox.BearingValidator()
-        self._validators["center"] = v_mapbox.CenterValidator()
-        self._validators["domain"] = v_mapbox.DomainValidator()
-        self._validators["layers"] = v_mapbox.LayersValidator()
-        self._validators["layerdefaults"] = v_mapbox.LayerValidator()
-        self._validators["pitch"] = v_mapbox.PitchValidator()
-        self._validators["style"] = v_mapbox.StyleValidator()
-        self._validators["uirevision"] = v_mapbox.UirevisionValidator()
-        self._validators["zoom"] = v_mapbox.ZoomValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("accesstoken", None)
-        self["accesstoken"] = accesstoken if accesstoken is not None else _v
-        _v = arg.pop("bearing", None)
-        self["bearing"] = bearing if bearing is not None else _v
-        _v = arg.pop("center", None)
-        self["center"] = center if center is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("layers", None)
-        self["layers"] = layers if layers is not None else _v
-        _v = arg.pop("layerdefaults", None)
-        self["layerdefaults"] = layerdefaults if layerdefaults is not None else _v
-        _v = arg.pop("pitch", None)
-        self["pitch"] = pitch if pitch is not None else _v
-        _v = arg.pop("style", None)
-        self["style"] = style if style is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("zoom", None)
-        self["zoom"] = zoom if zoom is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Legend(_BaseLayoutHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the legend background color. Defaults to
-        `layout.paper_bgcolor`.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the legend.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the legend.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used to text the legend items.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.legend.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.legend.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # itemclick
-    # ---------
-    @property
-    def itemclick(self):
-        """
-        Determines the behavior on legend item click. "toggle" toggles
-        the visibility of the item clicked on the graph. "toggleothers"
-        makes the clicked item the sole visible item on the graph.
-        False disable legend item click interactions.
-    
-        The 'itemclick' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['toggle', 'toggleothers', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["itemclick"]
-
-    @itemclick.setter
-    def itemclick(self, val):
-        self["itemclick"] = val
-
-    # itemdoubleclick
-    # ---------------
-    @property
-    def itemdoubleclick(self):
-        """
-        Determines the behavior on legend item double-click. "toggle"
-        toggles the visibility of the item clicked on the graph.
-        "toggleothers" makes the clicked item the sole visible item on
-        the graph. False disable legend item double-click interactions.
-    
-        The 'itemdoubleclick' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['toggle', 'toggleothers', False]
-
-        Returns
-        -------
-        Any
-        """
-        return self["itemdoubleclick"]
-
-    @itemdoubleclick.setter
-    def itemdoubleclick(self, val):
-        self["itemdoubleclick"] = val
-
-    # itemsizing
-    # ----------
-    @property
-    def itemsizing(self):
-        """
-        Determines if the legend items symbols scale with their
-        corresponding "trace" attributes or remain "constant"
-        independent of the symbol size on the graph.
-    
-        The 'itemsizing' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'constant']
-
-        Returns
-        -------
-        Any
-        """
-        return self["itemsizing"]
-
-    @itemsizing.setter
-    def itemsizing(self, val):
-        self["itemsizing"] = val
-
-    # orientation
-    # -----------
-    @property
-    def orientation(self):
-        """
-        Sets the orientation of the legend.
-    
-        The 'orientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['v', 'h']
-
-        Returns
-        -------
-        Any
-        """
-        return self["orientation"]
-
-    @orientation.setter
-    def orientation(self, val):
-        self["orientation"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.legend.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this legend's title font.
-                side
-                    Determines the location of legend's title with
-                    respect to the legend items. Defaulted to "top"
-                    with `orientation` is "h". Defaulted to "left"
-                    with `orientation` is "v". The *top left*
-                    options could be used to expand legend area in
-                    both x and y sides.
-                text
-                    Sets the title of the legend.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.legend.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # tracegroupgap
-    # -------------
-    @property
-    def tracegroupgap(self):
-        """
-        Sets the amount of vertical space (in px) between legend
-        groups.
-    
-        The 'tracegroupgap' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tracegroupgap"]
-
-    @tracegroupgap.setter
-    def tracegroupgap(self, val):
-        self["tracegroupgap"] = val
-
-    # traceorder
-    # ----------
-    @property
-    def traceorder(self):
-        """
-        Determines the order at which the legend items are displayed.
-        If "normal", the items are displayed top-to-bottom in the same
-        order as the input data. If "reversed", the items are displayed
-        in the opposite order as "normal". If "grouped", the items are
-        displayed in groups (when a trace `legendgroup` is provided).
-        if "grouped+reversed", the items are displayed in the opposite
-        order as "grouped".
-    
-        The 'traceorder' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['reversed', 'grouped'] joined with '+' characters
-            (e.g. 'reversed+grouped')
-            OR exactly one of ['normal'] (e.g. 'normal')
-
-        Returns
-        -------
-        Any
-        """
-        return self["traceorder"]
-
-    @traceorder.setter
-    def traceorder(self, val):
-        self["traceorder"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of legend-driven changes in trace and pie
-        label visibility. Defaults to `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # valign
-    # ------
-    @property
-    def valign(self):
-        """
-        Sets the vertical alignment of the symbols with respect to
-        their associated text.
-    
-        The 'valign' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["valign"]
-
-    @valign.setter
-    def valign(self, val):
-        self["valign"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position (in normalized coordinates) of the legend.
-        Defaults to 1.02 for vertical legends and defaults to 0 for
-        horizontal legends.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the legend's horizontal position anchor. This anchor binds
-        the `x` position to the "left", "center" or "right" of the
-        legend. Value "auto" anchors legends to the right for `x`
-        values greater than or equal to 2/3, anchors legends to the
-        left for `x` values less than or equal to 1/3 and anchors
-        legends with respect to their center otherwise.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position (in normalized coordinates) of the legend.
-        Defaults to 1 for vertical legends, defaults to "-0.1" for
-        horizontal legends on graphs w/o range sliders and defaults to
-        1.1 for horizontal legends on graph with one or multiple range
-        sliders.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the legend's vertical position anchor This anchor binds
-        the `y` position to the "top", "middle" or "bottom" of the
-        legend. Value "auto" anchors legends at their bottom for `y`
-        values less than or equal to 1/3, anchors legends to at their
-        top for `y` values greater than or equal to 2/3 and anchors
-        legends with respect to their middle otherwise.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the legend background color. Defaults to
-            `layout.paper_bgcolor`.
-        bordercolor
-            Sets the color of the border enclosing the legend.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            legend.
-        font
-            Sets the font used to text the legend items.
-        itemclick
-            Determines the behavior on legend item click. "toggle"
-            toggles the visibility of the item clicked on the
-            graph. "toggleothers" makes the clicked item the sole
-            visible item on the graph. False disable legend item
-            click interactions.
-        itemdoubleclick
-            Determines the behavior on legend item double-click.
-            "toggle" toggles the visibility of the item clicked on
-            the graph. "toggleothers" makes the clicked item the
-            sole visible item on the graph. False disable legend
-            item double-click interactions.
-        itemsizing
-            Determines if the legend items symbols scale with their
-            corresponding "trace" attributes or remain "constant"
-            independent of the symbol size on the graph.
-        orientation
-            Sets the orientation of the legend.
-        title
-            :class:`plotly.graph_objects.layout.legend.Title`
-            instance or dict with compatible properties
-        tracegroupgap
-            Sets the amount of vertical space (in px) between
-            legend groups.
-        traceorder
-            Determines the order at which the legend items are
-            displayed. If "normal", the items are displayed top-to-
-            bottom in the same order as the input data. If
-            "reversed", the items are displayed in the opposite
-            order as "normal". If "grouped", the items are
-            displayed in groups (when a trace `legendgroup` is
-            provided). if "grouped+reversed", the items are
-            displayed in the opposite order as "grouped".
-        uirevision
-            Controls persistence of legend-driven changes in trace
-            and pie label visibility. Defaults to
-            `layout.uirevision`.
-        valign
-            Sets the vertical alignment of the symbols with respect
-            to their associated text.
-        x
-            Sets the x position (in normalized coordinates) of the
-            legend. Defaults to 1.02 for vertical legends and
-            defaults to 0 for horizontal legends.
-        xanchor
-            Sets the legend's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the legend. Value "auto" anchors legends
-            to the right for `x` values greater than or equal to
-            2/3, anchors legends to the left for `x` values less
-            than or equal to 1/3 and anchors legends with respect
-            to their center otherwise.
-        y
-            Sets the y position (in normalized coordinates) of the
-            legend. Defaults to 1 for vertical legends, defaults to
-            "-0.1" for horizontal legends on graphs w/o range
-            sliders and defaults to 1.1 for horizontal legends on
-            graph with one or multiple range sliders.
-        yanchor
-            Sets the legend's vertical position anchor This anchor
-            binds the `y` position to the "top", "middle" or
-            "bottom" of the legend. Value "auto" anchors legends at
-            their bottom for `y` values less than or equal to 1/3,
-            anchors legends to at their top for `y` values greater
-            than or equal to 2/3 and anchors legends with respect
-            to their middle otherwise.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        font=None,
-        itemclick=None,
-        itemdoubleclick=None,
-        itemsizing=None,
-        orientation=None,
-        title=None,
-        tracegroupgap=None,
-        traceorder=None,
-        uirevision=None,
-        valign=None,
-        x=None,
-        xanchor=None,
-        y=None,
-        yanchor=None,
-        **kwargs
-    ):
-        """
-        Construct a new Legend object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Legend`
-        bgcolor
-            Sets the legend background color. Defaults to
-            `layout.paper_bgcolor`.
-        bordercolor
-            Sets the color of the border enclosing the legend.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            legend.
-        font
-            Sets the font used to text the legend items.
-        itemclick
-            Determines the behavior on legend item click. "toggle"
-            toggles the visibility of the item clicked on the
-            graph. "toggleothers" makes the clicked item the sole
-            visible item on the graph. False disable legend item
-            click interactions.
-        itemdoubleclick
-            Determines the behavior on legend item double-click.
-            "toggle" toggles the visibility of the item clicked on
-            the graph. "toggleothers" makes the clicked item the
-            sole visible item on the graph. False disable legend
-            item double-click interactions.
-        itemsizing
-            Determines if the legend items symbols scale with their
-            corresponding "trace" attributes or remain "constant"
-            independent of the symbol size on the graph.
-        orientation
-            Sets the orientation of the legend.
-        title
-            :class:`plotly.graph_objects.layout.legend.Title`
-            instance or dict with compatible properties
-        tracegroupgap
-            Sets the amount of vertical space (in px) between
-            legend groups.
-        traceorder
-            Determines the order at which the legend items are
-            displayed. If "normal", the items are displayed top-to-
-            bottom in the same order as the input data. If
-            "reversed", the items are displayed in the opposite
-            order as "normal". If "grouped", the items are
-            displayed in groups (when a trace `legendgroup` is
-            provided). if "grouped+reversed", the items are
-            displayed in the opposite order as "grouped".
-        uirevision
-            Controls persistence of legend-driven changes in trace
-            and pie label visibility. Defaults to
-            `layout.uirevision`.
-        valign
-            Sets the vertical alignment of the symbols with respect
-            to their associated text.
-        x
-            Sets the x position (in normalized coordinates) of the
-            legend. Defaults to 1.02 for vertical legends and
-            defaults to 0 for horizontal legends.
-        xanchor
-            Sets the legend's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the legend. Value "auto" anchors legends
-            to the right for `x` values greater than or equal to
-            2/3, anchors legends to the left for `x` values less
-            than or equal to 1/3 and anchors legends with respect
-            to their center otherwise.
-        y
-            Sets the y position (in normalized coordinates) of the
-            legend. Defaults to 1 for vertical legends, defaults to
-            "-0.1" for horizontal legends on graphs w/o range
-            sliders and defaults to 1.1 for horizontal legends on
-            graph with one or multiple range sliders.
-        yanchor
-            Sets the legend's vertical position anchor This anchor
-            binds the `y` position to the "top", "middle" or
-            "bottom" of the legend. Value "auto" anchors legends at
-            their bottom for `y` values less than or equal to 1/3,
-            anchors legends to at their top for `y` values greater
-            than or equal to 2/3 and anchors legends with respect
-            to their middle otherwise.
-
-        Returns
-        -------
-        Legend
-        """
-        super(Legend, self).__init__("legend")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Legend 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Legend`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import legend as v_legend
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_legend.BgcolorValidator()
-        self._validators["bordercolor"] = v_legend.BordercolorValidator()
-        self._validators["borderwidth"] = v_legend.BorderwidthValidator()
-        self._validators["font"] = v_legend.FontValidator()
-        self._validators["itemclick"] = v_legend.ItemclickValidator()
-        self._validators["itemdoubleclick"] = v_legend.ItemdoubleclickValidator()
-        self._validators["itemsizing"] = v_legend.ItemsizingValidator()
-        self._validators["orientation"] = v_legend.OrientationValidator()
-        self._validators["title"] = v_legend.TitleValidator()
-        self._validators["tracegroupgap"] = v_legend.TracegroupgapValidator()
-        self._validators["traceorder"] = v_legend.TraceorderValidator()
-        self._validators["uirevision"] = v_legend.UirevisionValidator()
-        self._validators["valign"] = v_legend.ValignValidator()
-        self._validators["x"] = v_legend.XValidator()
-        self._validators["xanchor"] = v_legend.XanchorValidator()
-        self._validators["y"] = v_legend.YValidator()
-        self._validators["yanchor"] = v_legend.YanchorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("itemclick", None)
-        self["itemclick"] = itemclick if itemclick is not None else _v
-        _v = arg.pop("itemdoubleclick", None)
-        self["itemdoubleclick"] = itemdoubleclick if itemdoubleclick is not None else _v
-        _v = arg.pop("itemsizing", None)
-        self["itemsizing"] = itemsizing if itemsizing is not None else _v
-        _v = arg.pop("orientation", None)
-        self["orientation"] = orientation if orientation is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("tracegroupgap", None)
-        self["tracegroupgap"] = tracegroupgap if tracegroupgap is not None else _v
-        _v = arg.pop("traceorder", None)
-        self["traceorder"] = traceorder if traceorder is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("valign", None)
-        self["valign"] = valign if valign is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Image(_BaseLayoutHierarchyType):
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Specifies whether images are drawn below or above traces. When
-        `xref` and `yref` are both set to `paper`, image is drawn below
-        the entire plot area.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['below', 'above']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the image.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # sizex
-    # -----
-    @property
-    def sizex(self):
-        """
-        Sets the image container size horizontally. The image will be
-        sized based on the `position` value. When `xref` is set to
-        `paper`, units are sized relative to the plot width.
-    
-        The 'sizex' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizex"]
-
-    @sizex.setter
-    def sizex(self, val):
-        self["sizex"] = val
-
-    # sizey
-    # -----
-    @property
-    def sizey(self):
-        """
-        Sets the image container size vertically. The image will be
-        sized based on the `position` value. When `yref` is set to
-        `paper`, units are sized relative to the plot height.
-    
-        The 'sizey' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizey"]
-
-    @sizey.setter
-    def sizey(self, val):
-        self["sizey"] = val
-
-    # sizing
-    # ------
-    @property
-    def sizing(self):
-        """
-        Specifies which dimension of the image to constrain.
-    
-        The 'sizing' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fill', 'contain', 'stretch']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizing"]
-
-    @sizing.setter
-    def sizing(self, val):
-        self["sizing"] = val
-
-    # source
-    # ------
-    @property
-    def source(self):
-        """
-        Specifies the URL of the image to be used. The URL must be
-        accessible from the domain where the plot code is run, and can
-        be either relative or absolute.
-    
-        The 'source' property is an image URI that may be specified as:
-          - A remote image URI string
-            (e.g. 'http://www.somewhere.com/image.png')
-          - A data URI image string
-            (e.g. 'data:image/png;base64,iVBORw0KGgoAAAANSU')
-          - A PIL.Image.Image object which will be immediately converted
-            to a data URI image string
-            See http://pillow.readthedocs.io/en/latest/reference/Image.html
-
-        Returns
-        -------
-        str
-        """
-        return self["source"]
-
-    @source.setter
-    def source(self, val):
-        self["source"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this image is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the image's x position. When `xref` is set to `paper`,
-        units are sized relative to the plot height. See `xref` for
-        more info
-    
-        The 'x' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the anchor for the x position
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xref
-    # ----
-    @property
-    def xref(self):
-        """
-        Sets the images's x coordinate axis. If set to a x axis id
-        (e.g. "x" or "x2"), the `x` position refers to an x data
-        coordinate If set to "paper", the `x` position refers to the
-        distance from the left of plot in normalized coordinates where
-        0 (1) corresponds to the left (right).
-    
-        The 'xref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['paper']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xref"]
-
-    @xref.setter
-    def xref(self, val):
-        self["xref"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the image's y position. When `yref` is set to `paper`,
-        units are sized relative to the plot height. See `yref` for
-        more info
-    
-        The 'y' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the anchor for the y position.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # yref
-    # ----
-    @property
-    def yref(self):
-        """
-        Sets the images's y coordinate axis. If set to a y axis id
-        (e.g. "y" or "y2"), the `y` position refers to a y data
-        coordinate. If set to "paper", the `y` position refers to the
-        distance from the bottom of the plot in normalized coordinates
-        where 0 (1) corresponds to the bottom (top).
-    
-        The 'yref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['paper']
-          - A string that matches one of the following regular expressions:
-                ['^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yref"]
-
-    @yref.setter
-    def yref(self, val):
-        self["yref"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        layer
-            Specifies whether images are drawn below or above
-            traces. When `xref` and `yref` are both set to `paper`,
-            image is drawn below the entire plot area.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the image.
-        sizex
-            Sets the image container size horizontally. The image
-            will be sized based on the `position` value. When
-            `xref` is set to `paper`, units are sized relative to
-            the plot width.
-        sizey
-            Sets the image container size vertically. The image
-            will be sized based on the `position` value. When
-            `yref` is set to `paper`, units are sized relative to
-            the plot height.
-        sizing
-            Specifies which dimension of the image to constrain.
-        source
-            Specifies the URL of the image to be used. The URL must
-            be accessible from the domain where the plot code is
-            run, and can be either relative or absolute.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        visible
-            Determines whether or not this image is visible.
-        x
-            Sets the image's x position. When `xref` is set to
-            `paper`, units are sized relative to the plot height.
-            See `xref` for more info
-        xanchor
-            Sets the anchor for the x position
-        xref
-            Sets the images's x coordinate axis. If set to a x axis
-            id (e.g. "x" or "x2"), the `x` position refers to an x
-            data coordinate If set to "paper", the `x` position
-            refers to the distance from the left of plot in
-            normalized coordinates where 0 (1) corresponds to the
-            left (right).
-        y
-            Sets the image's y position. When `yref` is set to
-            `paper`, units are sized relative to the plot height.
-            See `yref` for more info
-        yanchor
-            Sets the anchor for the y position.
-        yref
-            Sets the images's y coordinate axis. If set to a y axis
-            id (e.g. "y" or "y2"), the `y` position refers to a y
-            data coordinate. If set to "paper", the `y` position
-            refers to the distance from the bottom of the plot in
-            normalized coordinates where 0 (1) corresponds to the
-            bottom (top).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        layer=None,
-        name=None,
-        opacity=None,
-        sizex=None,
-        sizey=None,
-        sizing=None,
-        source=None,
-        templateitemname=None,
-        visible=None,
-        x=None,
-        xanchor=None,
-        xref=None,
-        y=None,
-        yanchor=None,
-        yref=None,
-        **kwargs
-    ):
-        """
-        Construct a new Image object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Image`
-        layer
-            Specifies whether images are drawn below or above
-            traces. When `xref` and `yref` are both set to `paper`,
-            image is drawn below the entire plot area.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the image.
-        sizex
-            Sets the image container size horizontally. The image
-            will be sized based on the `position` value. When
-            `xref` is set to `paper`, units are sized relative to
-            the plot width.
-        sizey
-            Sets the image container size vertically. The image
-            will be sized based on the `position` value. When
-            `yref` is set to `paper`, units are sized relative to
-            the plot height.
-        sizing
-            Specifies which dimension of the image to constrain.
-        source
-            Specifies the URL of the image to be used. The URL must
-            be accessible from the domain where the plot code is
-            run, and can be either relative or absolute.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        visible
-            Determines whether or not this image is visible.
-        x
-            Sets the image's x position. When `xref` is set to
-            `paper`, units are sized relative to the plot height.
-            See `xref` for more info
-        xanchor
-            Sets the anchor for the x position
-        xref
-            Sets the images's x coordinate axis. If set to a x axis
-            id (e.g. "x" or "x2"), the `x` position refers to an x
-            data coordinate If set to "paper", the `x` position
-            refers to the distance from the left of plot in
-            normalized coordinates where 0 (1) corresponds to the
-            left (right).
-        y
-            Sets the image's y position. When `yref` is set to
-            `paper`, units are sized relative to the plot height.
-            See `yref` for more info
-        yanchor
-            Sets the anchor for the y position.
-        yref
-            Sets the images's y coordinate axis. If set to a y axis
-            id (e.g. "y" or "y2"), the `y` position refers to a y
-            data coordinate. If set to "paper", the `y` position
-            refers to the distance from the bottom of the plot in
-            normalized coordinates where 0 (1) corresponds to the
-            bottom (top).
-
-        Returns
-        -------
-        Image
-        """
-        super(Image, self).__init__("images")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Image 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Image`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import image as v_image
-
-        # Initialize validators
-        # ---------------------
-        self._validators["layer"] = v_image.LayerValidator()
-        self._validators["name"] = v_image.NameValidator()
-        self._validators["opacity"] = v_image.OpacityValidator()
-        self._validators["sizex"] = v_image.SizexValidator()
-        self._validators["sizey"] = v_image.SizeyValidator()
-        self._validators["sizing"] = v_image.SizingValidator()
-        self._validators["source"] = v_image.SourceValidator()
-        self._validators["templateitemname"] = v_image.TemplateitemnameValidator()
-        self._validators["visible"] = v_image.VisibleValidator()
-        self._validators["x"] = v_image.XValidator()
-        self._validators["xanchor"] = v_image.XanchorValidator()
-        self._validators["xref"] = v_image.XrefValidator()
-        self._validators["y"] = v_image.YValidator()
-        self._validators["yanchor"] = v_image.YanchorValidator()
-        self._validators["yref"] = v_image.YrefValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("sizex", None)
-        self["sizex"] = sizex if sizex is not None else _v
-        _v = arg.pop("sizey", None)
-        self["sizey"] = sizey if sizey is not None else _v
-        _v = arg.pop("sizing", None)
-        self["sizing"] = sizing if sizing is not None else _v
-        _v = arg.pop("source", None)
-        self["source"] = source if source is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xref", None)
-        self["xref"] = xref if xref is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("yref", None)
-        self["yref"] = yref if yref is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseLayoutHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-
-        Returns
-        -------
-        Any
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of all hover labels on graph
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of all hover labels on graph.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the default hover label font used by all traces on the
-        graph.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        bgcolor
-            Sets the background color of all hover labels on graph
-        bordercolor
-            Sets the border color of all hover labels on graph.
-        font
-            Sets the default hover label font used by all traces on
-            the graph.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        bgcolor=None,
-        bordercolor=None,
-        font=None,
-        namelength=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        bgcolor
-            Sets the background color of all hover labels on graph
-        bordercolor
-            Sets the border color of all hover labels on graph.
-        font
-            Sets the default hover label font used by all traces on
-            the graph.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Grid(_BaseLayoutHierarchyType):
-
-    # columns
-    # -------
-    @property
-    def columns(self):
-        """
-        The number of columns in the grid. If you provide a 2D
-        `subplots` array, the length of its longest row is used as the
-        default. If you give an `xaxes` array, its length is used as
-        the default. But it's also possible to have a different length,
-        if you want to leave a row at the end for non-cartesian
-        subplots.
-    
-        The 'columns' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["columns"]
-
-    @columns.setter
-    def columns(self, val):
-        self["columns"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.grid.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                x
-                    Sets the horizontal domain of this grid subplot
-                    (in plot fraction). The first and last cells
-                    end exactly at the domain edges, with no grout
-                    around the edges.
-                y
-                    Sets the vertical domain of this grid subplot
-                    (in plot fraction). The first and last cells
-                    end exactly at the domain edges, with no grout
-                    around the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.grid.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # pattern
-    # -------
-    @property
-    def pattern(self):
-        """
-        If no `subplots`, `xaxes`, or `yaxes` are given but we do have
-        `rows` and `columns`, we can generate defaults using
-        consecutive axis IDs, in two ways: "coupled" gives one x axis
-        per column and one y axis per row. "independent" uses a new xy
-        pair for each cell, left-to-right across each row then
-        iterating rows according to `roworder`.
-    
-        The 'pattern' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['independent', 'coupled']
-
-        Returns
-        -------
-        Any
-        """
-        return self["pattern"]
-
-    @pattern.setter
-    def pattern(self, val):
-        self["pattern"] = val
-
-    # roworder
-    # --------
-    @property
-    def roworder(self):
-        """
-        Is the first row the top or the bottom? Note that columns are
-        always enumerated from left to right.
-    
-        The 'roworder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top to bottom', 'bottom to top']
-
-        Returns
-        -------
-        Any
-        """
-        return self["roworder"]
-
-    @roworder.setter
-    def roworder(self, val):
-        self["roworder"] = val
-
-    # rows
-    # ----
-    @property
-    def rows(self):
-        """
-        The number of rows in the grid. If you provide a 2D `subplots`
-        array or a `yaxes` array, its length is used as the default.
-        But it's also possible to have a different length, if you want
-        to leave a row at the end for non-cartesian subplots.
-    
-        The 'rows' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["rows"]
-
-    @rows.setter
-    def rows(self, val):
-        self["rows"] = val
-
-    # subplots
-    # --------
-    @property
-    def subplots(self):
-        """
-        Used for freeform grids, where some axes may be shared across
-        subplots but others are not. Each entry should be a cartesian
-        subplot id, like "xy" or "x3y2", or "" to leave that cell
-        empty. You may reuse x axes within the same column, and y axes
-        within the same row. Non-cartesian subplots and traces that
-        support `domain` can place themselves in this grid separately
-        using the `gridcell` attribute.
-    
-        The 'subplots' property is an info array that may be specified as:
-        * a 2D list where:
-          The 'subplots[i][j]' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        list
-        """
-        return self["subplots"]
-
-    @subplots.setter
-    def subplots(self, val):
-        self["subplots"] = val
-
-    # xaxes
-    # -----
-    @property
-    def xaxes(self):
-        """
-        Used with `yaxes` when the x and y axes are shared across
-        columns and rows. Each entry should be an x axis id like "x",
-        "x2", etc., or "" to not put an x axis in that column. Entries
-        other than "" must be unique. Ignored if `subplots` is present.
-        If missing but `yaxes` is present, will generate consecutive
-        IDs.
-    
-        The 'xaxes' property is an info array that may be specified as:
-        * a list of elements where:
-          The 'xaxes[i]' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        list
-        """
-        return self["xaxes"]
-
-    @xaxes.setter
-    def xaxes(self, val):
-        self["xaxes"] = val
-
-    # xgap
-    # ----
-    @property
-    def xgap(self):
-        """
-        Horizontal space between grid cells, expressed as a fraction of
-        the total width available to one cell. Defaults to 0.1 for
-        coupled-axes grids and 0.2 for independent grids.
-    
-        The 'xgap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xgap"]
-
-    @xgap.setter
-    def xgap(self, val):
-        self["xgap"] = val
-
-    # xside
-    # -----
-    @property
-    def xside(self):
-        """
-        Sets where the x axis labels and titles go. "bottom" means the
-        very bottom of the grid. "bottom plot" is the lowest plot that
-        each x axis is used in. "top" and "top plot" are similar.
-    
-        The 'xside' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['bottom', 'bottom plot', 'top plot', 'top']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xside"]
-
-    @xside.setter
-    def xside(self, val):
-        self["xside"] = val
-
-    # yaxes
-    # -----
-    @property
-    def yaxes(self):
-        """
-        Used with `yaxes` when the x and y axes are shared across
-        columns and rows. Each entry should be an y axis id like "y",
-        "y2", etc., or "" to not put a y axis in that row. Entries
-        other than "" must be unique. Ignored if `subplots` is present.
-        If missing but `xaxes` is present, will generate consecutive
-        IDs.
-    
-        The 'yaxes' property is an info array that may be specified as:
-        * a list of elements where:
-          The 'yaxes[i]' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['']
-          - A string that matches one of the following regular expressions:
-                ['^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        list
-        """
-        return self["yaxes"]
-
-    @yaxes.setter
-    def yaxes(self, val):
-        self["yaxes"] = val
-
-    # ygap
-    # ----
-    @property
-    def ygap(self):
-        """
-        Vertical space between grid cells, expressed as a fraction of
-        the total height available to one cell. Defaults to 0.1 for
-        coupled-axes grids and 0.3 for independent grids.
-    
-        The 'ygap' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ygap"]
-
-    @ygap.setter
-    def ygap(self, val):
-        self["ygap"] = val
-
-    # yside
-    # -----
-    @property
-    def yside(self):
-        """
-        Sets where the y axis labels and titles go. "left" means the
-        very left edge of the grid. *left plot* is the leftmost plot
-        that each y axis is used in. "right" and *right plot* are
-        similar.
-    
-        The 'yside' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'left plot', 'right plot', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yside"]
-
-    @yside.setter
-    def yside(self, val):
-        self["yside"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        columns
-            The number of columns in the grid. If you provide a 2D
-            `subplots` array, the length of its longest row is used
-            as the default. If you give an `xaxes` array, its
-            length is used as the default. But it's also possible
-            to have a different length, if you want to leave a row
-            at the end for non-cartesian subplots.
-        domain
-            :class:`plotly.graph_objects.layout.grid.Domain`
-            instance or dict with compatible properties
-        pattern
-            If no `subplots`, `xaxes`, or `yaxes` are given but we
-            do have `rows` and `columns`, we can generate defaults
-            using consecutive axis IDs, in two ways: "coupled"
-            gives one x axis per column and one y axis per row.
-            "independent" uses a new xy pair for each cell, left-
-            to-right across each row then iterating rows according
-            to `roworder`.
-        roworder
-            Is the first row the top or the bottom? Note that
-            columns are always enumerated from left to right.
-        rows
-            The number of rows in the grid. If you provide a 2D
-            `subplots` array or a `yaxes` array, its length is used
-            as the default. But it's also possible to have a
-            different length, if you want to leave a row at the end
-            for non-cartesian subplots.
-        subplots
-            Used for freeform grids, where some axes may be shared
-            across subplots but others are not. Each entry should
-            be a cartesian subplot id, like "xy" or "x3y2", or ""
-            to leave that cell empty. You may reuse x axes within
-            the same column, and y axes within the same row. Non-
-            cartesian subplots and traces that support `domain` can
-            place themselves in this grid separately using the
-            `gridcell` attribute.
-        xaxes
-            Used with `yaxes` when the x and y axes are shared
-            across columns and rows. Each entry should be an x axis
-            id like "x", "x2", etc., or "" to not put an x axis in
-            that column. Entries other than "" must be unique.
-            Ignored if `subplots` is present. If missing but
-            `yaxes` is present, will generate consecutive IDs.
-        xgap
-            Horizontal space between grid cells, expressed as a
-            fraction of the total width available to one cell.
-            Defaults to 0.1 for coupled-axes grids and 0.2 for
-            independent grids.
-        xside
-            Sets where the x axis labels and titles go. "bottom"
-            means the very bottom of the grid. "bottom plot" is the
-            lowest plot that each x axis is used in. "top" and "top
-            plot" are similar.
-        yaxes
-            Used with `yaxes` when the x and y axes are shared
-            across columns and rows. Each entry should be an y axis
-            id like "y", "y2", etc., or "" to not put a y axis in
-            that row. Entries other than "" must be unique. Ignored
-            if `subplots` is present. If missing but `xaxes` is
-            present, will generate consecutive IDs.
-        ygap
-            Vertical space between grid cells, expressed as a
-            fraction of the total height available to one cell.
-            Defaults to 0.1 for coupled-axes grids and 0.3 for
-            independent grids.
-        yside
-            Sets where the y axis labels and titles go. "left"
-            means the very left edge of the grid. *left plot* is
-            the leftmost plot that each y axis is used in. "right"
-            and *right plot* are similar.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        columns=None,
-        domain=None,
-        pattern=None,
-        roworder=None,
-        rows=None,
-        subplots=None,
-        xaxes=None,
-        xgap=None,
-        xside=None,
-        yaxes=None,
-        ygap=None,
-        yside=None,
-        **kwargs
-    ):
-        """
-        Construct a new Grid object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Grid`
-        columns
-            The number of columns in the grid. If you provide a 2D
-            `subplots` array, the length of its longest row is used
-            as the default. If you give an `xaxes` array, its
-            length is used as the default. But it's also possible
-            to have a different length, if you want to leave a row
-            at the end for non-cartesian subplots.
-        domain
-            :class:`plotly.graph_objects.layout.grid.Domain`
-            instance or dict with compatible properties
-        pattern
-            If no `subplots`, `xaxes`, or `yaxes` are given but we
-            do have `rows` and `columns`, we can generate defaults
-            using consecutive axis IDs, in two ways: "coupled"
-            gives one x axis per column and one y axis per row.
-            "independent" uses a new xy pair for each cell, left-
-            to-right across each row then iterating rows according
-            to `roworder`.
-        roworder
-            Is the first row the top or the bottom? Note that
-            columns are always enumerated from left to right.
-        rows
-            The number of rows in the grid. If you provide a 2D
-            `subplots` array or a `yaxes` array, its length is used
-            as the default. But it's also possible to have a
-            different length, if you want to leave a row at the end
-            for non-cartesian subplots.
-        subplots
-            Used for freeform grids, where some axes may be shared
-            across subplots but others are not. Each entry should
-            be a cartesian subplot id, like "xy" or "x3y2", or ""
-            to leave that cell empty. You may reuse x axes within
-            the same column, and y axes within the same row. Non-
-            cartesian subplots and traces that support `domain` can
-            place themselves in this grid separately using the
-            `gridcell` attribute.
-        xaxes
-            Used with `yaxes` when the x and y axes are shared
-            across columns and rows. Each entry should be an x axis
-            id like "x", "x2", etc., or "" to not put an x axis in
-            that column. Entries other than "" must be unique.
-            Ignored if `subplots` is present. If missing but
-            `yaxes` is present, will generate consecutive IDs.
-        xgap
-            Horizontal space between grid cells, expressed as a
-            fraction of the total width available to one cell.
-            Defaults to 0.1 for coupled-axes grids and 0.2 for
-            independent grids.
-        xside
-            Sets where the x axis labels and titles go. "bottom"
-            means the very bottom of the grid. "bottom plot" is the
-            lowest plot that each x axis is used in. "top" and "top
-            plot" are similar.
-        yaxes
-            Used with `yaxes` when the x and y axes are shared
-            across columns and rows. Each entry should be an y axis
-            id like "y", "y2", etc., or "" to not put a y axis in
-            that row. Entries other than "" must be unique. Ignored
-            if `subplots` is present. If missing but `xaxes` is
-            present, will generate consecutive IDs.
-        ygap
-            Vertical space between grid cells, expressed as a
-            fraction of the total height available to one cell.
-            Defaults to 0.1 for coupled-axes grids and 0.3 for
-            independent grids.
-        yside
-            Sets where the y axis labels and titles go. "left"
-            means the very left edge of the grid. *left plot* is
-            the leftmost plot that each y axis is used in. "right"
-            and *right plot* are similar.
-
-        Returns
-        -------
-        Grid
-        """
-        super(Grid, self).__init__("grid")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Grid 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Grid`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import grid as v_grid
-
-        # Initialize validators
-        # ---------------------
-        self._validators["columns"] = v_grid.ColumnsValidator()
-        self._validators["domain"] = v_grid.DomainValidator()
-        self._validators["pattern"] = v_grid.PatternValidator()
-        self._validators["roworder"] = v_grid.RoworderValidator()
-        self._validators["rows"] = v_grid.RowsValidator()
-        self._validators["subplots"] = v_grid.SubplotsValidator()
-        self._validators["xaxes"] = v_grid.XaxesValidator()
-        self._validators["xgap"] = v_grid.XgapValidator()
-        self._validators["xside"] = v_grid.XsideValidator()
-        self._validators["yaxes"] = v_grid.YaxesValidator()
-        self._validators["ygap"] = v_grid.YgapValidator()
-        self._validators["yside"] = v_grid.YsideValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("columns", None)
-        self["columns"] = columns if columns is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("pattern", None)
-        self["pattern"] = pattern if pattern is not None else _v
-        _v = arg.pop("roworder", None)
-        self["roworder"] = roworder if roworder is not None else _v
-        _v = arg.pop("rows", None)
-        self["rows"] = rows if rows is not None else _v
-        _v = arg.pop("subplots", None)
-        self["subplots"] = subplots if subplots is not None else _v
-        _v = arg.pop("xaxes", None)
-        self["xaxes"] = xaxes if xaxes is not None else _v
-        _v = arg.pop("xgap", None)
-        self["xgap"] = xgap if xgap is not None else _v
-        _v = arg.pop("xside", None)
-        self["xside"] = xside if xside is not None else _v
-        _v = arg.pop("yaxes", None)
-        self["yaxes"] = yaxes if yaxes is not None else _v
-        _v = arg.pop("ygap", None)
-        self["ygap"] = ygap if ygap is not None else _v
-        _v = arg.pop("yside", None)
-        self["yside"] = yside if yside is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Geo(_BaseLayoutHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Set the background color of the map
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # center
-    # ------
-    @property
-    def center(self):
-        """
-        The 'center' property is an instance of Center
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.geo.Center`
-          - A dict of string/value properties that will be passed
-            to the Center constructor
-    
-            Supported dict properties:
-                
-                lat
-                    Sets the latitude of the map's center. For all
-                    projection types, the map's latitude center
-                    lies at the middle of the latitude range by
-                    default.
-                lon
-                    Sets the longitude of the map's center. By
-                    default, the map's longitude center lies at the
-                    middle of the longitude range for scoped
-                    projection and above `projection.rotation.lon`
-                    otherwise.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.geo.Center
-        """
-        return self["center"]
-
-    @center.setter
-    def center(self, val):
-        self["center"] = val
-
-    # coastlinecolor
-    # --------------
-    @property
-    def coastlinecolor(self):
-        """
-        Sets the coastline color.
-    
-        The 'coastlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["coastlinecolor"]
-
-    @coastlinecolor.setter
-    def coastlinecolor(self, val):
-        self["coastlinecolor"] = val
-
-    # coastlinewidth
-    # --------------
-    @property
-    def coastlinewidth(self):
-        """
-        Sets the coastline stroke width (in px).
-    
-        The 'coastlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["coastlinewidth"]
-
-    @coastlinewidth.setter
-    def coastlinewidth(self, val):
-        self["coastlinewidth"] = val
-
-    # countrycolor
-    # ------------
-    @property
-    def countrycolor(self):
-        """
-        Sets line color of the country boundaries.
-    
-        The 'countrycolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["countrycolor"]
-
-    @countrycolor.setter
-    def countrycolor(self, val):
-        self["countrycolor"] = val
-
-    # countrywidth
-    # ------------
-    @property
-    def countrywidth(self):
-        """
-        Sets line width (in px) of the country boundaries.
-    
-        The 'countrywidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["countrywidth"]
-
-    @countrywidth.setter
-    def countrywidth(self, val):
-        self["countrywidth"] = val
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        The 'domain' property is an instance of Domain
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.geo.Domain`
-          - A dict of string/value properties that will be passed
-            to the Domain constructor
-    
-            Supported dict properties:
-                
-                column
-                    If there is a layout grid, use the domain for
-                    this column in the grid for this geo subplot .
-                    Note that geo subplots are constrained by
-                    domain. In general, when `projection.scale` is
-                    set to 1. a map will fit either its x or y
-                    domain, but not both.
-                row
-                    If there is a layout grid, use the domain for
-                    this row in the grid for this geo subplot .
-                    Note that geo subplots are constrained by
-                    domain. In general, when `projection.scale` is
-                    set to 1. a map will fit either its x or y
-                    domain, but not both.
-                x
-                    Sets the horizontal domain of this geo subplot
-                    (in plot fraction). Note that geo subplots are
-                    constrained by domain. In general, when
-                    `projection.scale` is set to 1. a map will fit
-                    either its x or y domain, but not both.
-                y
-                    Sets the vertical domain of this geo subplot
-                    (in plot fraction). Note that geo subplots are
-                    constrained by domain. In general, when
-                    `projection.scale` is set to 1. a map will fit
-                    either its x or y domain, but not both.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.geo.Domain
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # fitbounds
-    # ---------
-    @property
-    def fitbounds(self):
-        """
-        Determines if this subplot's view settings are auto-computed to
-        fit trace data. On scoped maps, setting `fitbounds` leads to
-        `center.lon` and `center.lat` getting auto-filled. On maps with
-        a non-clipped projection, setting `fitbounds` leads to
-        `center.lon`, `center.lat`, and `projection.rotation.lon`
-        getting auto-filled. On maps with a clipped projection, setting
-        `fitbounds` leads to `center.lon`, `center.lat`,
-        `projection.rotation.lon`, `projection.rotation.lat`,
-        `lonaxis.range` and `lonaxis.range` getting auto-filled. If
-        "locations", only the trace's visible locations are considered
-        in the `fitbounds` computations. If "geojson", the entire trace
-        input `geojson` (if provided) is considered in the `fitbounds`
-        computations, Defaults to False.
-    
-        The 'fitbounds' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [False, 'locations', 'geojson']
-
-        Returns
-        -------
-        Any
-        """
-        return self["fitbounds"]
-
-    @fitbounds.setter
-    def fitbounds(self, val):
-        self["fitbounds"] = val
-
-    # framecolor
-    # ----------
-    @property
-    def framecolor(self):
-        """
-        Sets the color the frame.
-    
-        The 'framecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["framecolor"]
-
-    @framecolor.setter
-    def framecolor(self, val):
-        self["framecolor"] = val
-
-    # framewidth
-    # ----------
-    @property
-    def framewidth(self):
-        """
-        Sets the stroke width (in px) of the frame.
-    
-        The 'framewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["framewidth"]
-
-    @framewidth.setter
-    def framewidth(self, val):
-        self["framewidth"] = val
-
-    # lakecolor
-    # ---------
-    @property
-    def lakecolor(self):
-        """
-        Sets the color of the lakes.
-    
-        The 'lakecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["lakecolor"]
-
-    @lakecolor.setter
-    def lakecolor(self, val):
-        self["lakecolor"] = val
-
-    # landcolor
-    # ---------
-    @property
-    def landcolor(self):
-        """
-        Sets the land mass color.
-    
-        The 'landcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["landcolor"]
-
-    @landcolor.setter
-    def landcolor(self, val):
-        self["landcolor"] = val
-
-    # lataxis
-    # -------
-    @property
-    def lataxis(self):
-        """
-        The 'lataxis' property is an instance of Lataxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.geo.Lataxis`
-          - A dict of string/value properties that will be passed
-            to the Lataxis constructor
-    
-            Supported dict properties:
-                
-                dtick
-                    Sets the graticule's longitude/latitude tick
-                    step.
-                gridcolor
-                    Sets the graticule's stroke color.
-                gridwidth
-                    Sets the graticule's stroke width (in px).
-                range
-                    Sets the range of this axis (in degrees), sets
-                    the map's clipped coordinates.
-                showgrid
-                    Sets whether or not graticule are shown on the
-                    map.
-                tick0
-                    Sets the graticule's starting tick
-                    longitude/latitude.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.geo.Lataxis
-        """
-        return self["lataxis"]
-
-    @lataxis.setter
-    def lataxis(self, val):
-        self["lataxis"] = val
-
-    # lonaxis
-    # -------
-    @property
-    def lonaxis(self):
-        """
-        The 'lonaxis' property is an instance of Lonaxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.geo.Lonaxis`
-          - A dict of string/value properties that will be passed
-            to the Lonaxis constructor
-    
-            Supported dict properties:
-                
-                dtick
-                    Sets the graticule's longitude/latitude tick
-                    step.
-                gridcolor
-                    Sets the graticule's stroke color.
-                gridwidth
-                    Sets the graticule's stroke width (in px).
-                range
-                    Sets the range of this axis (in degrees), sets
-                    the map's clipped coordinates.
-                showgrid
-                    Sets whether or not graticule are shown on the
-                    map.
-                tick0
-                    Sets the graticule's starting tick
-                    longitude/latitude.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.geo.Lonaxis
-        """
-        return self["lonaxis"]
-
-    @lonaxis.setter
-    def lonaxis(self, val):
-        self["lonaxis"] = val
-
-    # oceancolor
-    # ----------
-    @property
-    def oceancolor(self):
-        """
-        Sets the ocean color
-    
-        The 'oceancolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["oceancolor"]
-
-    @oceancolor.setter
-    def oceancolor(self, val):
-        self["oceancolor"] = val
-
-    # projection
-    # ----------
-    @property
-    def projection(self):
-        """
-        The 'projection' property is an instance of Projection
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.geo.Projection`
-          - A dict of string/value properties that will be passed
-            to the Projection constructor
-    
-            Supported dict properties:
-                
-                parallels
-                    For conic projection types only. Sets the
-                    parallels (tangent, secant) where the cone
-                    intersects the sphere.
-                rotation
-                    :class:`plotly.graph_objects.layout.geo.project
-                    ion.Rotation` instance or dict with compatible
-                    properties
-                scale
-                    Zooms in or out on the map view. A scale of 1
-                    corresponds to the largest zoom level that fits
-                    the map's lon and lat ranges.
-                type
-                    Sets the projection type.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.geo.Projection
-        """
-        return self["projection"]
-
-    @projection.setter
-    def projection(self, val):
-        self["projection"] = val
-
-    # resolution
-    # ----------
-    @property
-    def resolution(self):
-        """
-        Sets the resolution of the base layers. The values have units
-        of km/mm e.g. 110 corresponds to a scale ratio of
-        1:110,000,000.
-    
-        The 'resolution' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [110, 50]
-
-        Returns
-        -------
-        Any
-        """
-        return self["resolution"]
-
-    @resolution.setter
-    def resolution(self, val):
-        self["resolution"] = val
-
-    # rivercolor
-    # ----------
-    @property
-    def rivercolor(self):
-        """
-        Sets color of the rivers.
-    
-        The 'rivercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["rivercolor"]
-
-    @rivercolor.setter
-    def rivercolor(self, val):
-        self["rivercolor"] = val
-
-    # riverwidth
-    # ----------
-    @property
-    def riverwidth(self):
-        """
-        Sets the stroke width (in px) of the rivers.
-    
-        The 'riverwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["riverwidth"]
-
-    @riverwidth.setter
-    def riverwidth(self, val):
-        self["riverwidth"] = val
-
-    # scope
-    # -----
-    @property
-    def scope(self):
-        """
-        Set the scope of the map.
-    
-        The 'scope' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['world', 'usa', 'europe', 'asia', 'africa', 'north
-                america', 'south america']
-
-        Returns
-        -------
-        Any
-        """
-        return self["scope"]
-
-    @scope.setter
-    def scope(self, val):
-        self["scope"] = val
-
-    # showcoastlines
-    # --------------
-    @property
-    def showcoastlines(self):
-        """
-        Sets whether or not the coastlines are drawn.
-    
-        The 'showcoastlines' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showcoastlines"]
-
-    @showcoastlines.setter
-    def showcoastlines(self, val):
-        self["showcoastlines"] = val
-
-    # showcountries
-    # -------------
-    @property
-    def showcountries(self):
-        """
-        Sets whether or not country boundaries are drawn.
-    
-        The 'showcountries' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showcountries"]
-
-    @showcountries.setter
-    def showcountries(self, val):
-        self["showcountries"] = val
-
-    # showframe
-    # ---------
-    @property
-    def showframe(self):
-        """
-        Sets whether or not a frame is drawn around the map.
-    
-        The 'showframe' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showframe"]
-
-    @showframe.setter
-    def showframe(self, val):
-        self["showframe"] = val
-
-    # showlakes
-    # ---------
-    @property
-    def showlakes(self):
-        """
-        Sets whether or not lakes are drawn.
-    
-        The 'showlakes' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showlakes"]
-
-    @showlakes.setter
-    def showlakes(self, val):
-        self["showlakes"] = val
-
-    # showland
-    # --------
-    @property
-    def showland(self):
-        """
-        Sets whether or not land masses are filled in color.
-    
-        The 'showland' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showland"]
-
-    @showland.setter
-    def showland(self, val):
-        self["showland"] = val
-
-    # showocean
-    # ---------
-    @property
-    def showocean(self):
-        """
-        Sets whether or not oceans are filled in color.
-    
-        The 'showocean' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showocean"]
-
-    @showocean.setter
-    def showocean(self, val):
-        self["showocean"] = val
-
-    # showrivers
-    # ----------
-    @property
-    def showrivers(self):
-        """
-        Sets whether or not rivers are drawn.
-    
-        The 'showrivers' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showrivers"]
-
-    @showrivers.setter
-    def showrivers(self, val):
-        self["showrivers"] = val
-
-    # showsubunits
-    # ------------
-    @property
-    def showsubunits(self):
-        """
-        Sets whether or not boundaries of subunits within countries
-        (e.g. states, provinces) are drawn.
-    
-        The 'showsubunits' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showsubunits"]
-
-    @showsubunits.setter
-    def showsubunits(self, val):
-        self["showsubunits"] = val
-
-    # subunitcolor
-    # ------------
-    @property
-    def subunitcolor(self):
-        """
-        Sets the color of the subunits boundaries.
-    
-        The 'subunitcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["subunitcolor"]
-
-    @subunitcolor.setter
-    def subunitcolor(self, val):
-        self["subunitcolor"] = val
-
-    # subunitwidth
-    # ------------
-    @property
-    def subunitwidth(self):
-        """
-        Sets the stroke width (in px) of the subunits boundaries.
-    
-        The 'subunitwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["subunitwidth"]
-
-    @subunitwidth.setter
-    def subunitwidth(self, val):
-        self["subunitwidth"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in the view
-        (projection and center). Defaults to `layout.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Sets the default visibility of the base layers.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Set the background color of the map
-        center
-            :class:`plotly.graph_objects.layout.geo.Center`
-            instance or dict with compatible properties
-        coastlinecolor
-            Sets the coastline color.
-        coastlinewidth
-            Sets the coastline stroke width (in px).
-        countrycolor
-            Sets line color of the country boundaries.
-        countrywidth
-            Sets line width (in px) of the country boundaries.
-        domain
-            :class:`plotly.graph_objects.layout.geo.Domain`
-            instance or dict with compatible properties
-        fitbounds
-            Determines if this subplot's view settings are auto-
-            computed to fit trace data. On scoped maps, setting
-            `fitbounds` leads to `center.lon` and `center.lat`
-            getting auto-filled. On maps with a non-clipped
-            projection, setting `fitbounds` leads to `center.lon`,
-            `center.lat`, and `projection.rotation.lon` getting
-            auto-filled. On maps with a clipped projection, setting
-            `fitbounds` leads to `center.lon`, `center.lat`,
-            `projection.rotation.lon`, `projection.rotation.lat`,
-            `lonaxis.range` and `lonaxis.range` getting auto-
-            filled. If "locations", only the trace's visible
-            locations are considered in the `fitbounds`
-            computations. If "geojson", the entire trace input
-            `geojson` (if provided) is considered in the
-            `fitbounds` computations, Defaults to False.
-        framecolor
-            Sets the color the frame.
-        framewidth
-            Sets the stroke width (in px) of the frame.
-        lakecolor
-            Sets the color of the lakes.
-        landcolor
-            Sets the land mass color.
-        lataxis
-            :class:`plotly.graph_objects.layout.geo.Lataxis`
-            instance or dict with compatible properties
-        lonaxis
-            :class:`plotly.graph_objects.layout.geo.Lonaxis`
-            instance or dict with compatible properties
-        oceancolor
-            Sets the ocean color
-        projection
-            :class:`plotly.graph_objects.layout.geo.Projection`
-            instance or dict with compatible properties
-        resolution
-            Sets the resolution of the base layers. The values have
-            units of km/mm e.g. 110 corresponds to a scale ratio of
-            1:110,000,000.
-        rivercolor
-            Sets color of the rivers.
-        riverwidth
-            Sets the stroke width (in px) of the rivers.
-        scope
-            Set the scope of the map.
-        showcoastlines
-            Sets whether or not the coastlines are drawn.
-        showcountries
-            Sets whether or not country boundaries are drawn.
-        showframe
-            Sets whether or not a frame is drawn around the map.
-        showlakes
-            Sets whether or not lakes are drawn.
-        showland
-            Sets whether or not land masses are filled in color.
-        showocean
-            Sets whether or not oceans are filled in color.
-        showrivers
-            Sets whether or not rivers are drawn.
-        showsubunits
-            Sets whether or not boundaries of subunits within
-            countries (e.g. states, provinces) are drawn.
-        subunitcolor
-            Sets the color of the subunits boundaries.
-        subunitwidth
-            Sets the stroke width (in px) of the subunits
-            boundaries.
-        uirevision
-            Controls persistence of user-driven changes in the view
-            (projection and center). Defaults to
-            `layout.uirevision`.
-        visible
-            Sets the default visibility of the base layers.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        center=None,
-        coastlinecolor=None,
-        coastlinewidth=None,
-        countrycolor=None,
-        countrywidth=None,
-        domain=None,
-        fitbounds=None,
-        framecolor=None,
-        framewidth=None,
-        lakecolor=None,
-        landcolor=None,
-        lataxis=None,
-        lonaxis=None,
-        oceancolor=None,
-        projection=None,
-        resolution=None,
-        rivercolor=None,
-        riverwidth=None,
-        scope=None,
-        showcoastlines=None,
-        showcountries=None,
-        showframe=None,
-        showlakes=None,
-        showland=None,
-        showocean=None,
-        showrivers=None,
-        showsubunits=None,
-        subunitcolor=None,
-        subunitwidth=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Geo object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Geo`
-        bgcolor
-            Set the background color of the map
-        center
-            :class:`plotly.graph_objects.layout.geo.Center`
-            instance or dict with compatible properties
-        coastlinecolor
-            Sets the coastline color.
-        coastlinewidth
-            Sets the coastline stroke width (in px).
-        countrycolor
-            Sets line color of the country boundaries.
-        countrywidth
-            Sets line width (in px) of the country boundaries.
-        domain
-            :class:`plotly.graph_objects.layout.geo.Domain`
-            instance or dict with compatible properties
-        fitbounds
-            Determines if this subplot's view settings are auto-
-            computed to fit trace data. On scoped maps, setting
-            `fitbounds` leads to `center.lon` and `center.lat`
-            getting auto-filled. On maps with a non-clipped
-            projection, setting `fitbounds` leads to `center.lon`,
-            `center.lat`, and `projection.rotation.lon` getting
-            auto-filled. On maps with a clipped projection, setting
-            `fitbounds` leads to `center.lon`, `center.lat`,
-            `projection.rotation.lon`, `projection.rotation.lat`,
-            `lonaxis.range` and `lonaxis.range` getting auto-
-            filled. If "locations", only the trace's visible
-            locations are considered in the `fitbounds`
-            computations. If "geojson", the entire trace input
-            `geojson` (if provided) is considered in the
-            `fitbounds` computations, Defaults to False.
-        framecolor
-            Sets the color the frame.
-        framewidth
-            Sets the stroke width (in px) of the frame.
-        lakecolor
-            Sets the color of the lakes.
-        landcolor
-            Sets the land mass color.
-        lataxis
-            :class:`plotly.graph_objects.layout.geo.Lataxis`
-            instance or dict with compatible properties
-        lonaxis
-            :class:`plotly.graph_objects.layout.geo.Lonaxis`
-            instance or dict with compatible properties
-        oceancolor
-            Sets the ocean color
-        projection
-            :class:`plotly.graph_objects.layout.geo.Projection`
-            instance or dict with compatible properties
-        resolution
-            Sets the resolution of the base layers. The values have
-            units of km/mm e.g. 110 corresponds to a scale ratio of
-            1:110,000,000.
-        rivercolor
-            Sets color of the rivers.
-        riverwidth
-            Sets the stroke width (in px) of the rivers.
-        scope
-            Set the scope of the map.
-        showcoastlines
-            Sets whether or not the coastlines are drawn.
-        showcountries
-            Sets whether or not country boundaries are drawn.
-        showframe
-            Sets whether or not a frame is drawn around the map.
-        showlakes
-            Sets whether or not lakes are drawn.
-        showland
-            Sets whether or not land masses are filled in color.
-        showocean
-            Sets whether or not oceans are filled in color.
-        showrivers
-            Sets whether or not rivers are drawn.
-        showsubunits
-            Sets whether or not boundaries of subunits within
-            countries (e.g. states, provinces) are drawn.
-        subunitcolor
-            Sets the color of the subunits boundaries.
-        subunitwidth
-            Sets the stroke width (in px) of the subunits
-            boundaries.
-        uirevision
-            Controls persistence of user-driven changes in the view
-            (projection and center). Defaults to
-            `layout.uirevision`.
-        visible
-            Sets the default visibility of the base layers.
-
-        Returns
-        -------
-        Geo
-        """
-        super(Geo, self).__init__("geo")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Geo 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Geo`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import geo as v_geo
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_geo.BgcolorValidator()
-        self._validators["center"] = v_geo.CenterValidator()
-        self._validators["coastlinecolor"] = v_geo.CoastlinecolorValidator()
-        self._validators["coastlinewidth"] = v_geo.CoastlinewidthValidator()
-        self._validators["countrycolor"] = v_geo.CountrycolorValidator()
-        self._validators["countrywidth"] = v_geo.CountrywidthValidator()
-        self._validators["domain"] = v_geo.DomainValidator()
-        self._validators["fitbounds"] = v_geo.FitboundsValidator()
-        self._validators["framecolor"] = v_geo.FramecolorValidator()
-        self._validators["framewidth"] = v_geo.FramewidthValidator()
-        self._validators["lakecolor"] = v_geo.LakecolorValidator()
-        self._validators["landcolor"] = v_geo.LandcolorValidator()
-        self._validators["lataxis"] = v_geo.LataxisValidator()
-        self._validators["lonaxis"] = v_geo.LonaxisValidator()
-        self._validators["oceancolor"] = v_geo.OceancolorValidator()
-        self._validators["projection"] = v_geo.ProjectionValidator()
-        self._validators["resolution"] = v_geo.ResolutionValidator()
-        self._validators["rivercolor"] = v_geo.RivercolorValidator()
-        self._validators["riverwidth"] = v_geo.RiverwidthValidator()
-        self._validators["scope"] = v_geo.ScopeValidator()
-        self._validators["showcoastlines"] = v_geo.ShowcoastlinesValidator()
-        self._validators["showcountries"] = v_geo.ShowcountriesValidator()
-        self._validators["showframe"] = v_geo.ShowframeValidator()
-        self._validators["showlakes"] = v_geo.ShowlakesValidator()
-        self._validators["showland"] = v_geo.ShowlandValidator()
-        self._validators["showocean"] = v_geo.ShowoceanValidator()
-        self._validators["showrivers"] = v_geo.ShowriversValidator()
-        self._validators["showsubunits"] = v_geo.ShowsubunitsValidator()
-        self._validators["subunitcolor"] = v_geo.SubunitcolorValidator()
-        self._validators["subunitwidth"] = v_geo.SubunitwidthValidator()
-        self._validators["uirevision"] = v_geo.UirevisionValidator()
-        self._validators["visible"] = v_geo.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("center", None)
-        self["center"] = center if center is not None else _v
-        _v = arg.pop("coastlinecolor", None)
-        self["coastlinecolor"] = coastlinecolor if coastlinecolor is not None else _v
-        _v = arg.pop("coastlinewidth", None)
-        self["coastlinewidth"] = coastlinewidth if coastlinewidth is not None else _v
-        _v = arg.pop("countrycolor", None)
-        self["countrycolor"] = countrycolor if countrycolor is not None else _v
-        _v = arg.pop("countrywidth", None)
-        self["countrywidth"] = countrywidth if countrywidth is not None else _v
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("fitbounds", None)
-        self["fitbounds"] = fitbounds if fitbounds is not None else _v
-        _v = arg.pop("framecolor", None)
-        self["framecolor"] = framecolor if framecolor is not None else _v
-        _v = arg.pop("framewidth", None)
-        self["framewidth"] = framewidth if framewidth is not None else _v
-        _v = arg.pop("lakecolor", None)
-        self["lakecolor"] = lakecolor if lakecolor is not None else _v
-        _v = arg.pop("landcolor", None)
-        self["landcolor"] = landcolor if landcolor is not None else _v
-        _v = arg.pop("lataxis", None)
-        self["lataxis"] = lataxis if lataxis is not None else _v
-        _v = arg.pop("lonaxis", None)
-        self["lonaxis"] = lonaxis if lonaxis is not None else _v
-        _v = arg.pop("oceancolor", None)
-        self["oceancolor"] = oceancolor if oceancolor is not None else _v
-        _v = arg.pop("projection", None)
-        self["projection"] = projection if projection is not None else _v
-        _v = arg.pop("resolution", None)
-        self["resolution"] = resolution if resolution is not None else _v
-        _v = arg.pop("rivercolor", None)
-        self["rivercolor"] = rivercolor if rivercolor is not None else _v
-        _v = arg.pop("riverwidth", None)
-        self["riverwidth"] = riverwidth if riverwidth is not None else _v
-        _v = arg.pop("scope", None)
-        self["scope"] = scope if scope is not None else _v
-        _v = arg.pop("showcoastlines", None)
-        self["showcoastlines"] = showcoastlines if showcoastlines is not None else _v
-        _v = arg.pop("showcountries", None)
-        self["showcountries"] = showcountries if showcountries is not None else _v
-        _v = arg.pop("showframe", None)
-        self["showframe"] = showframe if showframe is not None else _v
-        _v = arg.pop("showlakes", None)
-        self["showlakes"] = showlakes if showlakes is not None else _v
-        _v = arg.pop("showland", None)
-        self["showland"] = showland if showland is not None else _v
-        _v = arg.pop("showocean", None)
-        self["showocean"] = showocean if showocean is not None else _v
-        _v = arg.pop("showrivers", None)
-        self["showrivers"] = showrivers if showrivers is not None else _v
-        _v = arg.pop("showsubunits", None)
-        self["showsubunits"] = showsubunits if showsubunits is not None else _v
-        _v = arg.pop("subunitcolor", None)
-        self["subunitcolor"] = subunitcolor if subunitcolor is not None else _v
-        _v = arg.pop("subunitwidth", None)
-        self["subunitwidth"] = subunitwidth if subunitwidth is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the global font. Note that fonts used in traces and other
-        layout components inherit from the global font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Colorscale(_BaseLayoutHierarchyType):
-
-    # diverging
-    # ---------
-    @property
-    def diverging(self):
-        """
-        Sets the default diverging colorscale. Note that
-        `autocolorscale` must be true for this attribute to work.
-    
-        The 'diverging' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["diverging"]
-
-    @diverging.setter
-    def diverging(self, val):
-        self["diverging"] = val
-
-    # sequential
-    # ----------
-    @property
-    def sequential(self):
-        """
-        Sets the default sequential colorscale for positive values.
-        Note that `autocolorscale` must be true for this attribute to
-        work.
-    
-        The 'sequential' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["sequential"]
-
-    @sequential.setter
-    def sequential(self, val):
-        self["sequential"] = val
-
-    # sequentialminus
-    # ---------------
-    @property
-    def sequentialminus(self):
-        """
-        Sets the default sequential colorscale for negative values.
-        Note that `autocolorscale` must be true for this attribute to
-        work.
-    
-        The 'sequentialminus' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["sequentialminus"]
-
-    @sequentialminus.setter
-    def sequentialminus(self, val):
-        self["sequentialminus"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        diverging
-            Sets the default diverging colorscale. Note that
-            `autocolorscale` must be true for this attribute to
-            work.
-        sequential
-            Sets the default sequential colorscale for positive
-            values. Note that `autocolorscale` must be true for
-            this attribute to work.
-        sequentialminus
-            Sets the default sequential colorscale for negative
-            values. Note that `autocolorscale` must be true for
-            this attribute to work.
-        """
-
-    def __init__(
-        self, arg=None, diverging=None, sequential=None, sequentialminus=None, **kwargs
-    ):
-        """
-        Construct a new Colorscale object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Colorscale`
-        diverging
-            Sets the default diverging colorscale. Note that
-            `autocolorscale` must be true for this attribute to
-            work.
-        sequential
-            Sets the default sequential colorscale for positive
-            values. Note that `autocolorscale` must be true for
-            this attribute to work.
-        sequentialminus
-            Sets the default sequential colorscale for negative
-            values. Note that `autocolorscale` must be true for
-            this attribute to work.
-
-        Returns
-        -------
-        Colorscale
-        """
-        super(Colorscale, self).__init__("colorscale")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Colorscale 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Colorscale`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import colorscale as v_colorscale
-
-        # Initialize validators
-        # ---------------------
-        self._validators["diverging"] = v_colorscale.DivergingValidator()
-        self._validators["sequential"] = v_colorscale.SequentialValidator()
-        self._validators["sequentialminus"] = v_colorscale.SequentialminusValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("diverging", None)
-        self["diverging"] = diverging if diverging is not None else _v
-        _v = arg.pop("sequential", None)
-        self["sequential"] = sequential if sequential is not None else _v
-        _v = arg.pop("sequentialminus", None)
-        self["sequentialminus"] = sequentialminus if sequentialminus is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Coloraxis(_BaseLayoutHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `colorscale`. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here corresponding trace color
-        array(s)) or the bounds set in `cmin` and `cmax`  Defaults to
-        `false` when `cmin` and `cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Value should have the
-        same units as corresponding trace color array(s) and if set,
-        `cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `cmin` and/or
-        `cmax` to be equidistant to this point. Value should have the
-        same units as corresponding trace color array(s). Has no effect
-        when `cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Value should have the
-        same units as corresponding trace color array(s) and if set,
-        `cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.coloraxis.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.layout.
-                    coloraxis.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.lay
-                    out.coloraxis.colorbar.tickformatstopdefaults),
-                    sets the default property values to use for
-                    elements of
-                    layout.coloraxis.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.layout.coloraxis.c
-                    olorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    layout.coloraxis.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    layout.coloraxis.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.coloraxis.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. If true, `cmin` will
-        correspond to the last color in the array and `cmax` will
-        correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here corresponding
-            trace color array(s)) or the bounds set in `cmin` and
-            `cmax`  Defaults to `false` when `cmin` and `cmax` are
-            set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as corresponding trace color
-            array(s) and if set, `cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as corresponding trace
-            color array(s). Has no effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as corresponding trace color
-            array(s) and if set, `cmax` must be set as well.
-        colorbar
-            :class:`plotly.graph_objects.layout.coloraxis.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        colorbar=None,
-        colorscale=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Coloraxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Coloraxis`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `colorscale`. In case `colorscale` is unspecified or
-            `autocolorscale` is true, the default  palette will be
-            chosen according to whether numbers in the `color`
-            array are all positive, all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here corresponding
-            trace color array(s)) or the bounds set in `cmin` and
-            `cmax`  Defaults to `false` when `cmin` and `cmax` are
-            set by the user.
-        cmax
-            Sets the upper bound of the color domain. Value should
-            have the same units as corresponding trace color
-            array(s) and if set, `cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `cmin` and/or `cmax` to be equidistant to this point.
-            Value should have the same units as corresponding trace
-            color array(s). Has no effect when `cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Value should
-            have the same units as corresponding trace color
-            array(s) and if set, `cmax` must be set as well.
-        colorbar
-            :class:`plotly.graph_objects.layout.coloraxis.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        reversescale
-            Reverses the color mapping if true. If true, `cmin`
-            will correspond to the last color in the array and
-            `cmax` will correspond to the first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace.
-
-        Returns
-        -------
-        Coloraxis
-        """
-        super(Coloraxis, self).__init__("coloraxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Coloraxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Coloraxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import coloraxis as v_coloraxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_coloraxis.AutocolorscaleValidator()
-        self._validators["cauto"] = v_coloraxis.CautoValidator()
-        self._validators["cmax"] = v_coloraxis.CmaxValidator()
-        self._validators["cmid"] = v_coloraxis.CmidValidator()
-        self._validators["cmin"] = v_coloraxis.CminValidator()
-        self._validators["colorbar"] = v_coloraxis.ColorBarValidator()
-        self._validators["colorscale"] = v_coloraxis.ColorscaleValidator()
-        self._validators["reversescale"] = v_coloraxis.ReversescaleValidator()
-        self._validators["showscale"] = v_coloraxis.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Annotation(_BaseLayoutHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the `text` within the box. Has
-        an effect only if `text` spans two or more lines (i.e. `text`
-        contains one or more <br> HTML tags) or if an explicit width is
-        set to override the text width.
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # arrowcolor
-    # ----------
-    @property
-    def arrowcolor(self):
-        """
-        Sets the color of the annotation arrow.
-    
-        The 'arrowcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["arrowcolor"]
-
-    @arrowcolor.setter
-    def arrowcolor(self, val):
-        self["arrowcolor"] = val
-
-    # arrowhead
-    # ---------
-    @property
-    def arrowhead(self):
-        """
-        Sets the end annotation arrow head style.
-    
-        The 'arrowhead' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 8]
-
-        Returns
-        -------
-        int
-        """
-        return self["arrowhead"]
-
-    @arrowhead.setter
-    def arrowhead(self, val):
-        self["arrowhead"] = val
-
-    # arrowside
-    # ---------
-    @property
-    def arrowside(self):
-        """
-        Sets the annotation arrow head position.
-    
-        The 'arrowside' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['end', 'start'] joined with '+' characters
-            (e.g. 'end+start')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["arrowside"]
-
-    @arrowside.setter
-    def arrowside(self, val):
-        self["arrowside"] = val
-
-    # arrowsize
-    # ---------
-    @property
-    def arrowsize(self):
-        """
-        Sets the size of the end annotation arrow head, relative to
-        `arrowwidth`. A value of 1 (default) gives a head about 3x as
-        wide as the line.
-    
-        The 'arrowsize' property is a number and may be specified as:
-          - An int or float in the interval [0.3, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["arrowsize"]
-
-    @arrowsize.setter
-    def arrowsize(self, val):
-        self["arrowsize"] = val
-
-    # arrowwidth
-    # ----------
-    @property
-    def arrowwidth(self):
-        """
-        Sets the width (in px) of annotation arrow line.
-    
-        The 'arrowwidth' property is a number and may be specified as:
-          - An int or float in the interval [0.1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["arrowwidth"]
-
-    @arrowwidth.setter
-    def arrowwidth(self, val):
-        self["arrowwidth"] = val
-
-    # ax
-    # --
-    @property
-    def ax(self):
-        """
-        Sets the x component of the arrow tail about the arrow head. If
-        `axref` is `pixel`, a positive (negative)  component
-        corresponds to an arrow pointing from right to left (left to
-        right). If `axref` is an axis, this is an absolute value on
-        that axis, like `x`, NOT a relative value.
-    
-        The 'ax' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["ax"]
-
-    @ax.setter
-    def ax(self, val):
-        self["ax"] = val
-
-    # axref
-    # -----
-    @property
-    def axref(self):
-        """
-        Indicates in what terms the tail of the annotation (ax,ay)  is
-        specified. If `pixel`, `ax` is a relative offset in pixels
-        from `x`. If set to an x axis id (e.g. "x" or "x2"), `ax` is
-        specified in the same terms as that axis. This is useful  for
-        trendline annotations which should continue to indicate  the
-        correct trend when zoomed.
-    
-        The 'axref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['pixel']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["axref"]
-
-    @axref.setter
-    def axref(self, val):
-        self["axref"] = val
-
-    # ay
-    # --
-    @property
-    def ay(self):
-        """
-        Sets the y component of the arrow tail about the arrow head. If
-        `ayref` is `pixel`, a positive (negative)  component
-        corresponds to an arrow pointing from bottom to top (top to
-        bottom). If `ayref` is an axis, this is an absolute value on
-        that axis, like `y`, NOT a relative value.
-    
-        The 'ay' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["ay"]
-
-    @ay.setter
-    def ay(self, val):
-        self["ay"] = val
-
-    # ayref
-    # -----
-    @property
-    def ayref(self):
-        """
-        Indicates in what terms the tail of the annotation (ax,ay)  is
-        specified. If `pixel`, `ay` is a relative offset in pixels
-        from `y`. If set to a y axis id (e.g. "y" or "y2"), `ay` is
-        specified in the same terms as that axis. This is useful  for
-        trendline annotations which should continue to indicate  the
-        correct trend when zoomed.
-    
-        The 'ayref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['pixel']
-          - A string that matches one of the following regular expressions:
-                ['^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ayref"]
-
-    @ayref.setter
-    def ayref(self, val):
-        self["ayref"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the annotation.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the annotation `text`.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderpad
-    # ---------
-    @property
-    def borderpad(self):
-        """
-        Sets the padding (in px) between the `text` and the enclosing
-        border.
-    
-        The 'borderpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderpad"]
-
-    @borderpad.setter
-    def borderpad(self, val):
-        self["borderpad"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the annotation
-        `text`.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # captureevents
-    # -------------
-    @property
-    def captureevents(self):
-        """
-        Determines whether the annotation text box captures mouse move
-        and click events, or allows those events to pass through to
-        data points in the plot that may be behind the annotation. By
-        default `captureevents` is False unless `hovertext` is
-        provided. If you use the event `plotly_clickannotation` without
-        `hovertext` you must explicitly enable `captureevents`.
-    
-        The 'captureevents' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["captureevents"]
-
-    @captureevents.setter
-    def captureevents(self, val):
-        self["captureevents"] = val
-
-    # clicktoshow
-    # -----------
-    @property
-    def clicktoshow(self):
-        """
-        Makes this annotation respond to clicks on the plot. If you
-        click a data point that exactly matches the `x` and `y` values
-        of this annotation, and it is hidden (visible: false), it will
-        appear. In "onoff" mode, you must click the same point again to
-        make it disappear, so if you click multiple points, you can
-        show multiple annotations. In "onout" mode, a click anywhere
-        else in the plot (on another data point or not) will hide this
-        annotation. If you need to show/hide this annotation in
-        response to different `x` or `y` values, you can set `xclick`
-        and/or `yclick`. This is useful for example to label the side
-        of a bar. To label markers though, `standoff` is preferred over
-        `xclick` and `yclick`.
-    
-        The 'clicktoshow' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [False, 'onoff', 'onout']
-
-        Returns
-        -------
-        Any
-        """
-        return self["clicktoshow"]
-
-    @clicktoshow.setter
-    def clicktoshow(self, val):
-        self["clicktoshow"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the annotation text font.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.annotation.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.annotation.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # height
-    # ------
-    @property
-    def height(self):
-        """
-        Sets an explicit height for the text box. null (default) lets
-        the text set the box height. Taller text will be clipped.
-    
-        The 'height' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["height"]
-
-    @height.setter
-    def height(self, val):
-        self["height"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.annotation.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the background color of the hover label.
-                    By default uses the annotation's `bgcolor` made
-                    opaque, or white if it was transparent.
-                bordercolor
-                    Sets the border color of the hover label. By
-                    default uses either dark grey or white, for
-                    maximum contrast with `hoverlabel.bgcolor`.
-                font
-                    Sets the hover label text font. By default uses
-                    the global hover font and size, with color from
-                    `hoverlabel.bordercolor`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.annotation.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets text to appear when hovering over this annotation. If
-        omitted or blank, no hover label will appear.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the annotation (text + arrow).
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # showarrow
-    # ---------
-    @property
-    def showarrow(self):
-        """
-        Determines whether or not the annotation is drawn with an
-        arrow. If True, `text` is placed near the arrow's tail. If
-        False, `text` lines up with the `x` and `y` provided.
-    
-        The 'showarrow' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showarrow"]
-
-    @showarrow.setter
-    def showarrow(self, val):
-        self["showarrow"] = val
-
-    # standoff
-    # --------
-    @property
-    def standoff(self):
-        """
-        Sets a distance, in pixels, to move the end arrowhead away from
-        the position it is pointing at, for example to point at the
-        edge of a marker independent of zoom. Note that this shortens
-        the arrow from the `ax` / `ay` vector, in contrast to `xshift`
-        / `yshift` which moves everything by this amount.
-    
-        The 'standoff' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["standoff"]
-
-    @standoff.setter
-    def standoff(self, val):
-        self["standoff"] = val
-
-    # startarrowhead
-    # --------------
-    @property
-    def startarrowhead(self):
-        """
-        Sets the start annotation arrow head style.
-    
-        The 'startarrowhead' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 8]
-
-        Returns
-        -------
-        int
-        """
-        return self["startarrowhead"]
-
-    @startarrowhead.setter
-    def startarrowhead(self, val):
-        self["startarrowhead"] = val
-
-    # startarrowsize
-    # --------------
-    @property
-    def startarrowsize(self):
-        """
-        Sets the size of the start annotation arrow head, relative to
-        `arrowwidth`. A value of 1 (default) gives a head about 3x as
-        wide as the line.
-    
-        The 'startarrowsize' property is a number and may be specified as:
-          - An int or float in the interval [0.3, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["startarrowsize"]
-
-    @startarrowsize.setter
-    def startarrowsize(self, val):
-        self["startarrowsize"] = val
-
-    # startstandoff
-    # -------------
-    @property
-    def startstandoff(self):
-        """
-        Sets a distance, in pixels, to move the start arrowhead away
-        from the position it is pointing at, for example to point at
-        the edge of a marker independent of zoom. Note that this
-        shortens the arrow from the `ax` / `ay` vector, in contrast to
-        `xshift` / `yshift` which moves everything by this amount.
-    
-        The 'startstandoff' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["startstandoff"]
-
-    @startstandoff.setter
-    def startstandoff(self, val):
-        self["startstandoff"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text associated with this annotation. Plotly uses a
-        subset of HTML tags to do things like newline (<br>), bold
-        (<b></b>), italics (<i></i>), hyperlinks (<a href='...'></a>).
-        Tags <em>, <sup>, <sub> <span> are also supported.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textangle
-    # ---------
-    @property
-    def textangle(self):
-        """
-        Sets the angle at which the `text` is drawn with respect to the
-        horizontal.
-    
-        The 'textangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["textangle"]
-
-    @textangle.setter
-    def textangle(self, val):
-        self["textangle"] = val
-
-    # valign
-    # ------
-    @property
-    def valign(self):
-        """
-        Sets the vertical alignment of the `text` within the box. Has
-        an effect only if an explicit height is set to override the
-        text height.
-    
-        The 'valign' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["valign"]
-
-    @valign.setter
-    def valign(self, val):
-        self["valign"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this annotation is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets an explicit width for the text box. null (default) lets
-        the text set the box width. Wider text will be clipped. There
-        is no automatic wrapping; use <br> to start a new line.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the annotation's x position. If the axis `type` is "log",
-        then you must take the log of your desired range. If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'x' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the text box's horizontal position anchor This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the annotation. For example, if `x` is set to 1, `xref` to
-        "paper" and `xanchor` to "right" then the right-most portion of
-        the annotation lines up with the right-most edge of the
-        plotting area. If "auto", the anchor is equivalent to "center"
-        for data-referenced annotations or if there is an arrow,
-        whereas for paper-referenced with no arrow, the anchor picked
-        corresponds to the closest side.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xclick
-    # ------
-    @property
-    def xclick(self):
-        """
-        Toggle this annotation when clicking a data point whose `x`
-        value is `xclick` rather than the annotation's `x` value.
-    
-        The 'xclick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["xclick"]
-
-    @xclick.setter
-    def xclick(self, val):
-        self["xclick"] = val
-
-    # xref
-    # ----
-    @property
-    def xref(self):
-        """
-        Sets the annotation's x coordinate axis. If set to an x axis id
-        (e.g. "x" or "x2"), the `x` position refers to an x coordinate
-        If set to "paper", the `x` position refers to the distance from
-        the left side of the plotting area in normalized coordinates
-        where 0 (1) corresponds to the left (right) side.
-    
-        The 'xref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['paper']
-          - A string that matches one of the following regular expressions:
-                ['^x([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xref"]
-
-    @xref.setter
-    def xref(self, val):
-        self["xref"] = val
-
-    # xshift
-    # ------
-    @property
-    def xshift(self):
-        """
-        Shifts the position of the whole annotation and arrow to the
-        right (positive) or left (negative) by this many pixels.
-    
-        The 'xshift' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xshift"]
-
-    @xshift.setter
-    def xshift(self, val):
-        self["xshift"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the annotation's y position. If the axis `type` is "log",
-        then you must take the log of your desired range. If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'y' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the text box's vertical position anchor This anchor binds
-        the `y` position to the "top", "middle" or "bottom" of the
-        annotation. For example, if `y` is set to 1, `yref` to "paper"
-        and `yanchor` to "top" then the top-most portion of the
-        annotation lines up with the top-most edge of the plotting
-        area. If "auto", the anchor is equivalent to "middle" for data-
-        referenced annotations or if there is an arrow, whereas for
-        paper-referenced with no arrow, the anchor picked corresponds
-        to the closest side.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # yclick
-    # ------
-    @property
-    def yclick(self):
-        """
-        Toggle this annotation when clicking a data point whose `y`
-        value is `yclick` rather than the annotation's `y` value.
-    
-        The 'yclick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["yclick"]
-
-    @yclick.setter
-    def yclick(self, val):
-        self["yclick"] = val
-
-    # yref
-    # ----
-    @property
-    def yref(self):
-        """
-        Sets the annotation's y coordinate axis. If set to an y axis id
-        (e.g. "y" or "y2"), the `y` position refers to an y coordinate
-        If set to "paper", the `y` position refers to the distance from
-        the bottom of the plotting area in normalized coordinates where
-        0 (1) corresponds to the bottom (top).
-    
-        The 'yref' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['paper']
-          - A string that matches one of the following regular expressions:
-                ['^y([2-9]|[1-9][0-9]+)?$']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yref"]
-
-    @yref.setter
-    def yref(self, val):
-        self["yref"] = val
-
-    # yshift
-    # ------
-    @property
-    def yshift(self):
-        """
-        Shifts the position of the whole annotation and arrow up
-        (positive) or down (negative) by this many pixels.
-    
-        The 'yshift' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["yshift"]
-
-    @yshift.setter
-    def yshift(self, val):
-        self["yshift"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        arrowcolor
-            Sets the color of the annotation arrow.
-        arrowhead
-            Sets the end annotation arrow head style.
-        arrowside
-            Sets the annotation arrow head position.
-        arrowsize
-            Sets the size of the end annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        arrowwidth
-            Sets the width (in px) of annotation arrow line.
-        ax
-            Sets the x component of the arrow tail about the arrow
-            head. If `axref` is `pixel`, a positive (negative)
-            component corresponds to an arrow pointing from right
-            to left (left to right). If `axref` is an axis, this is
-            an absolute value on that axis, like `x`, NOT a
-            relative value.
-        axref
-            Indicates in what terms the tail of the annotation
-            (ax,ay)  is specified. If `pixel`, `ax` is a relative
-            offset in pixels  from `x`. If set to an x axis id
-            (e.g. "x" or "x2"), `ax` is  specified in the same
-            terms as that axis. This is useful  for trendline
-            annotations which should continue to indicate  the
-            correct trend when zoomed.
-        ay
-            Sets the y component of the arrow tail about the arrow
-            head. If `ayref` is `pixel`, a positive (negative)
-            component corresponds to an arrow pointing from bottom
-            to top (top to bottom). If `ayref` is an axis, this is
-            an absolute value on that axis, like `y`, NOT a
-            relative value.
-        ayref
-            Indicates in what terms the tail of the annotation
-            (ax,ay)  is specified. If `pixel`, `ay` is a relative
-            offset in pixels  from `y`. If set to a y axis id (e.g.
-            "y" or "y2"), `ay` is  specified in the same terms as
-            that axis. This is useful  for trendline annotations
-            which should continue to indicate  the correct trend
-            when zoomed.
-        bgcolor
-            Sets the background color of the annotation.
-        bordercolor
-            Sets the color of the border enclosing the annotation
-            `text`.
-        borderpad
-            Sets the padding (in px) between the `text` and the
-            enclosing border.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            annotation `text`.
-        captureevents
-            Determines whether the annotation text box captures
-            mouse move and click events, or allows those events to
-            pass through to data points in the plot that may be
-            behind the annotation. By default `captureevents` is
-            False unless `hovertext` is provided. If you use the
-            event `plotly_clickannotation` without `hovertext` you
-            must explicitly enable `captureevents`.
-        clicktoshow
-            Makes this annotation respond to clicks on the plot. If
-            you click a data point that exactly matches the `x` and
-            `y` values of this annotation, and it is hidden
-            (visible: false), it will appear. In "onoff" mode, you
-            must click the same point again to make it disappear,
-            so if you click multiple points, you can show multiple
-            annotations. In "onout" mode, a click anywhere else in
-            the plot (on another data point or not) will hide this
-            annotation. If you need to show/hide this annotation in
-            response to different `x` or `y` values, you can set
-            `xclick` and/or `yclick`. This is useful for example to
-            label the side of a bar. To label markers though,
-            `standoff` is preferred over `xclick` and `yclick`.
-        font
-            Sets the annotation text font.
-        height
-            Sets an explicit height for the text box. null
-            (default) lets the text set the box height. Taller text
-            will be clipped.
-        hoverlabel
-            :class:`plotly.graph_objects.layout.annotation.Hoverlab
-            el` instance or dict with compatible properties
-        hovertext
-            Sets text to appear when hovering over this annotation.
-            If omitted or blank, no hover label will appear.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the annotation (text + arrow).
-        showarrow
-            Determines whether or not the annotation is drawn with
-            an arrow. If True, `text` is placed near the arrow's
-            tail. If False, `text` lines up with the `x` and `y`
-            provided.
-        standoff
-            Sets a distance, in pixels, to move the end arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        startarrowhead
-            Sets the start annotation arrow head style.
-        startarrowsize
-            Sets the size of the start annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        startstandoff
-            Sets a distance, in pixels, to move the start arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        text
-            Sets the text associated with this annotation. Plotly
-            uses a subset of HTML tags to do things like newline
-            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
-            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
-            are also supported.
-        textangle
-            Sets the angle at which the `text` is drawn with
-            respect to the horizontal.
-        valign
-            Sets the vertical alignment of the `text` within the
-            box. Has an effect only if an explicit height is set to
-            override the text height.
-        visible
-            Determines whether or not this annotation is visible.
-        width
-            Sets an explicit width for the text box. null (default)
-            lets the text set the box width. Wider text will be
-            clipped. There is no automatic wrapping; use <br> to
-            start a new line.
-        x
-            Sets the annotation's x position. If the axis `type` is
-            "log", then you must take the log of your desired
-            range. If the axis `type` is "date", it should be date
-            strings, like date data, though Date objects and unix
-            milliseconds will be accepted and converted to strings.
-            If the axis `type` is "category", it should be numbers,
-            using the scale where each category is assigned a
-            serial number from zero in the order it appears.
-        xanchor
-            Sets the text box's horizontal position anchor This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the annotation. For example, if `x` is
-            set to 1, `xref` to "paper" and `xanchor` to "right"
-            then the right-most portion of the annotation lines up
-            with the right-most edge of the plotting area. If
-            "auto", the anchor is equivalent to "center" for data-
-            referenced annotations or if there is an arrow, whereas
-            for paper-referenced with no arrow, the anchor picked
-            corresponds to the closest side.
-        xclick
-            Toggle this annotation when clicking a data point whose
-            `x` value is `xclick` rather than the annotation's `x`
-            value.
-        xref
-            Sets the annotation's x coordinate axis. If set to an x
-            axis id (e.g. "x" or "x2"), the `x` position refers to
-            an x coordinate If set to "paper", the `x` position
-            refers to the distance from the left side of the
-            plotting area in normalized coordinates where 0 (1)
-            corresponds to the left (right) side.
-        xshift
-            Shifts the position of the whole annotation and arrow
-            to the right (positive) or left (negative) by this many
-            pixels.
-        y
-            Sets the annotation's y position. If the axis `type` is
-            "log", then you must take the log of your desired
-            range. If the axis `type` is "date", it should be date
-            strings, like date data, though Date objects and unix
-            milliseconds will be accepted and converted to strings.
-            If the axis `type` is "category", it should be numbers,
-            using the scale where each category is assigned a
-            serial number from zero in the order it appears.
-        yanchor
-            Sets the text box's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the annotation. For example, if `y` is set
-            to 1, `yref` to "paper" and `yanchor` to "top" then the
-            top-most portion of the annotation lines up with the
-            top-most edge of the plotting area. If "auto", the
-            anchor is equivalent to "middle" for data-referenced
-            annotations or if there is an arrow, whereas for paper-
-            referenced with no arrow, the anchor picked corresponds
-            to the closest side.
-        yclick
-            Toggle this annotation when clicking a data point whose
-            `y` value is `yclick` rather than the annotation's `y`
-            value.
-        yref
-            Sets the annotation's y coordinate axis. If set to an y
-            axis id (e.g. "y" or "y2"), the `y` position refers to
-            an y coordinate If set to "paper", the `y` position
-            refers to the distance from the bottom of the plotting
-            area in normalized coordinates where 0 (1) corresponds
-            to the bottom (top).
-        yshift
-            Shifts the position of the whole annotation and arrow
-            up (positive) or down (negative) by this many pixels.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        arrowcolor=None,
-        arrowhead=None,
-        arrowside=None,
-        arrowsize=None,
-        arrowwidth=None,
-        ax=None,
-        axref=None,
-        ay=None,
-        ayref=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderpad=None,
-        borderwidth=None,
-        captureevents=None,
-        clicktoshow=None,
-        font=None,
-        height=None,
-        hoverlabel=None,
-        hovertext=None,
-        name=None,
-        opacity=None,
-        showarrow=None,
-        standoff=None,
-        startarrowhead=None,
-        startarrowsize=None,
-        startstandoff=None,
-        templateitemname=None,
-        text=None,
-        textangle=None,
-        valign=None,
-        visible=None,
-        width=None,
-        x=None,
-        xanchor=None,
-        xclick=None,
-        xref=None,
-        xshift=None,
-        y=None,
-        yanchor=None,
-        yclick=None,
-        yref=None,
-        yshift=None,
-        **kwargs
-    ):
-        """
-        Construct a new Annotation object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.Annotation`
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        arrowcolor
-            Sets the color of the annotation arrow.
-        arrowhead
-            Sets the end annotation arrow head style.
-        arrowside
-            Sets the annotation arrow head position.
-        arrowsize
-            Sets the size of the end annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        arrowwidth
-            Sets the width (in px) of annotation arrow line.
-        ax
-            Sets the x component of the arrow tail about the arrow
-            head. If `axref` is `pixel`, a positive (negative)
-            component corresponds to an arrow pointing from right
-            to left (left to right). If `axref` is an axis, this is
-            an absolute value on that axis, like `x`, NOT a
-            relative value.
-        axref
-            Indicates in what terms the tail of the annotation
-            (ax,ay)  is specified. If `pixel`, `ax` is a relative
-            offset in pixels  from `x`. If set to an x axis id
-            (e.g. "x" or "x2"), `ax` is  specified in the same
-            terms as that axis. This is useful  for trendline
-            annotations which should continue to indicate  the
-            correct trend when zoomed.
-        ay
-            Sets the y component of the arrow tail about the arrow
-            head. If `ayref` is `pixel`, a positive (negative)
-            component corresponds to an arrow pointing from bottom
-            to top (top to bottom). If `ayref` is an axis, this is
-            an absolute value on that axis, like `y`, NOT a
-            relative value.
-        ayref
-            Indicates in what terms the tail of the annotation
-            (ax,ay)  is specified. If `pixel`, `ay` is a relative
-            offset in pixels  from `y`. If set to a y axis id (e.g.
-            "y" or "y2"), `ay` is  specified in the same terms as
-            that axis. This is useful  for trendline annotations
-            which should continue to indicate  the correct trend
-            when zoomed.
-        bgcolor
-            Sets the background color of the annotation.
-        bordercolor
-            Sets the color of the border enclosing the annotation
-            `text`.
-        borderpad
-            Sets the padding (in px) between the `text` and the
-            enclosing border.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            annotation `text`.
-        captureevents
-            Determines whether the annotation text box captures
-            mouse move and click events, or allows those events to
-            pass through to data points in the plot that may be
-            behind the annotation. By default `captureevents` is
-            False unless `hovertext` is provided. If you use the
-            event `plotly_clickannotation` without `hovertext` you
-            must explicitly enable `captureevents`.
-        clicktoshow
-            Makes this annotation respond to clicks on the plot. If
-            you click a data point that exactly matches the `x` and
-            `y` values of this annotation, and it is hidden
-            (visible: false), it will appear. In "onoff" mode, you
-            must click the same point again to make it disappear,
-            so if you click multiple points, you can show multiple
-            annotations. In "onout" mode, a click anywhere else in
-            the plot (on another data point or not) will hide this
-            annotation. If you need to show/hide this annotation in
-            response to different `x` or `y` values, you can set
-            `xclick` and/or `yclick`. This is useful for example to
-            label the side of a bar. To label markers though,
-            `standoff` is preferred over `xclick` and `yclick`.
-        font
-            Sets the annotation text font.
-        height
-            Sets an explicit height for the text box. null
-            (default) lets the text set the box height. Taller text
-            will be clipped.
-        hoverlabel
-            :class:`plotly.graph_objects.layout.annotation.Hoverlab
-            el` instance or dict with compatible properties
-        hovertext
-            Sets text to appear when hovering over this annotation.
-            If omitted or blank, no hover label will appear.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the annotation (text + arrow).
-        showarrow
-            Determines whether or not the annotation is drawn with
-            an arrow. If True, `text` is placed near the arrow's
-            tail. If False, `text` lines up with the `x` and `y`
-            provided.
-        standoff
-            Sets a distance, in pixels, to move the end arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        startarrowhead
-            Sets the start annotation arrow head style.
-        startarrowsize
-            Sets the size of the start annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        startstandoff
-            Sets a distance, in pixels, to move the start arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        text
-            Sets the text associated with this annotation. Plotly
-            uses a subset of HTML tags to do things like newline
-            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
-            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
-            are also supported.
-        textangle
-            Sets the angle at which the `text` is drawn with
-            respect to the horizontal.
-        valign
-            Sets the vertical alignment of the `text` within the
-            box. Has an effect only if an explicit height is set to
-            override the text height.
-        visible
-            Determines whether or not this annotation is visible.
-        width
-            Sets an explicit width for the text box. null (default)
-            lets the text set the box width. Wider text will be
-            clipped. There is no automatic wrapping; use <br> to
-            start a new line.
-        x
-            Sets the annotation's x position. If the axis `type` is
-            "log", then you must take the log of your desired
-            range. If the axis `type` is "date", it should be date
-            strings, like date data, though Date objects and unix
-            milliseconds will be accepted and converted to strings.
-            If the axis `type` is "category", it should be numbers,
-            using the scale where each category is assigned a
-            serial number from zero in the order it appears.
-        xanchor
-            Sets the text box's horizontal position anchor This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the annotation. For example, if `x` is
-            set to 1, `xref` to "paper" and `xanchor` to "right"
-            then the right-most portion of the annotation lines up
-            with the right-most edge of the plotting area. If
-            "auto", the anchor is equivalent to "center" for data-
-            referenced annotations or if there is an arrow, whereas
-            for paper-referenced with no arrow, the anchor picked
-            corresponds to the closest side.
-        xclick
-            Toggle this annotation when clicking a data point whose
-            `x` value is `xclick` rather than the annotation's `x`
-            value.
-        xref
-            Sets the annotation's x coordinate axis. If set to an x
-            axis id (e.g. "x" or "x2"), the `x` position refers to
-            an x coordinate If set to "paper", the `x` position
-            refers to the distance from the left side of the
-            plotting area in normalized coordinates where 0 (1)
-            corresponds to the left (right) side.
-        xshift
-            Shifts the position of the whole annotation and arrow
-            to the right (positive) or left (negative) by this many
-            pixels.
-        y
-            Sets the annotation's y position. If the axis `type` is
-            "log", then you must take the log of your desired
-            range. If the axis `type` is "date", it should be date
-            strings, like date data, though Date objects and unix
-            milliseconds will be accepted and converted to strings.
-            If the axis `type` is "category", it should be numbers,
-            using the scale where each category is assigned a
-            serial number from zero in the order it appears.
-        yanchor
-            Sets the text box's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the annotation. For example, if `y` is set
-            to 1, `yref` to "paper" and `yanchor` to "top" then the
-            top-most portion of the annotation lines up with the
-            top-most edge of the plotting area. If "auto", the
-            anchor is equivalent to "middle" for data-referenced
-            annotations or if there is an arrow, whereas for paper-
-            referenced with no arrow, the anchor picked corresponds
-            to the closest side.
-        yclick
-            Toggle this annotation when clicking a data point whose
-            `y` value is `yclick` rather than the annotation's `y`
-            value.
-        yref
-            Sets the annotation's y coordinate axis. If set to an y
-            axis id (e.g. "y" or "y2"), the `y` position refers to
-            an y coordinate If set to "paper", the `y` position
-            refers to the distance from the bottom of the plotting
-            area in normalized coordinates where 0 (1) corresponds
-            to the bottom (top).
-        yshift
-            Shifts the position of the whole annotation and arrow
-            up (positive) or down (negative) by this many pixels.
-
-        Returns
-        -------
-        Annotation
-        """
-        super(Annotation, self).__init__("annotations")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.Annotation 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.Annotation`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import annotation as v_annotation
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_annotation.AlignValidator()
-        self._validators["arrowcolor"] = v_annotation.ArrowcolorValidator()
-        self._validators["arrowhead"] = v_annotation.ArrowheadValidator()
-        self._validators["arrowside"] = v_annotation.ArrowsideValidator()
-        self._validators["arrowsize"] = v_annotation.ArrowsizeValidator()
-        self._validators["arrowwidth"] = v_annotation.ArrowwidthValidator()
-        self._validators["ax"] = v_annotation.AxValidator()
-        self._validators["axref"] = v_annotation.AxrefValidator()
-        self._validators["ay"] = v_annotation.AyValidator()
-        self._validators["ayref"] = v_annotation.AyrefValidator()
-        self._validators["bgcolor"] = v_annotation.BgcolorValidator()
-        self._validators["bordercolor"] = v_annotation.BordercolorValidator()
-        self._validators["borderpad"] = v_annotation.BorderpadValidator()
-        self._validators["borderwidth"] = v_annotation.BorderwidthValidator()
-        self._validators["captureevents"] = v_annotation.CaptureeventsValidator()
-        self._validators["clicktoshow"] = v_annotation.ClicktoshowValidator()
-        self._validators["font"] = v_annotation.FontValidator()
-        self._validators["height"] = v_annotation.HeightValidator()
-        self._validators["hoverlabel"] = v_annotation.HoverlabelValidator()
-        self._validators["hovertext"] = v_annotation.HovertextValidator()
-        self._validators["name"] = v_annotation.NameValidator()
-        self._validators["opacity"] = v_annotation.OpacityValidator()
-        self._validators["showarrow"] = v_annotation.ShowarrowValidator()
-        self._validators["standoff"] = v_annotation.StandoffValidator()
-        self._validators["startarrowhead"] = v_annotation.StartarrowheadValidator()
-        self._validators["startarrowsize"] = v_annotation.StartarrowsizeValidator()
-        self._validators["startstandoff"] = v_annotation.StartstandoffValidator()
-        self._validators["templateitemname"] = v_annotation.TemplateitemnameValidator()
-        self._validators["text"] = v_annotation.TextValidator()
-        self._validators["textangle"] = v_annotation.TextangleValidator()
-        self._validators["valign"] = v_annotation.ValignValidator()
-        self._validators["visible"] = v_annotation.VisibleValidator()
-        self._validators["width"] = v_annotation.WidthValidator()
-        self._validators["x"] = v_annotation.XValidator()
-        self._validators["xanchor"] = v_annotation.XanchorValidator()
-        self._validators["xclick"] = v_annotation.XclickValidator()
-        self._validators["xref"] = v_annotation.XrefValidator()
-        self._validators["xshift"] = v_annotation.XshiftValidator()
-        self._validators["y"] = v_annotation.YValidator()
-        self._validators["yanchor"] = v_annotation.YanchorValidator()
-        self._validators["yclick"] = v_annotation.YclickValidator()
-        self._validators["yref"] = v_annotation.YrefValidator()
-        self._validators["yshift"] = v_annotation.YshiftValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("arrowcolor", None)
-        self["arrowcolor"] = arrowcolor if arrowcolor is not None else _v
-        _v = arg.pop("arrowhead", None)
-        self["arrowhead"] = arrowhead if arrowhead is not None else _v
-        _v = arg.pop("arrowside", None)
-        self["arrowside"] = arrowside if arrowside is not None else _v
-        _v = arg.pop("arrowsize", None)
-        self["arrowsize"] = arrowsize if arrowsize is not None else _v
-        _v = arg.pop("arrowwidth", None)
-        self["arrowwidth"] = arrowwidth if arrowwidth is not None else _v
-        _v = arg.pop("ax", None)
-        self["ax"] = ax if ax is not None else _v
-        _v = arg.pop("axref", None)
-        self["axref"] = axref if axref is not None else _v
-        _v = arg.pop("ay", None)
-        self["ay"] = ay if ay is not None else _v
-        _v = arg.pop("ayref", None)
-        self["ayref"] = ayref if ayref is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderpad", None)
-        self["borderpad"] = borderpad if borderpad is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("captureevents", None)
-        self["captureevents"] = captureevents if captureevents is not None else _v
-        _v = arg.pop("clicktoshow", None)
-        self["clicktoshow"] = clicktoshow if clicktoshow is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("height", None)
-        self["height"] = height if height is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("showarrow", None)
-        self["showarrow"] = showarrow if showarrow is not None else _v
-        _v = arg.pop("standoff", None)
-        self["standoff"] = standoff if standoff is not None else _v
-        _v = arg.pop("startarrowhead", None)
-        self["startarrowhead"] = startarrowhead if startarrowhead is not None else _v
-        _v = arg.pop("startarrowsize", None)
-        self["startarrowsize"] = startarrowsize if startarrowsize is not None else _v
-        _v = arg.pop("startstandoff", None)
-        self["startstandoff"] = startstandoff if startstandoff is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textangle", None)
-        self["textangle"] = textangle if textangle is not None else _v
-        _v = arg.pop("valign", None)
-        self["valign"] = valign if valign is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xclick", None)
-        self["xclick"] = xclick if xclick is not None else _v
-        _v = arg.pop("xref", None)
-        self["xref"] = xref if xref is not None else _v
-        _v = arg.pop("xshift", None)
-        self["xshift"] = xshift if xshift is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("yclick", None)
-        self["yclick"] = yclick if yclick is not None else _v
-        _v = arg.pop("yref", None)
-        self["yref"] = yref if yref is not None else _v
-        _v = arg.pop("yshift", None)
-        self["yshift"] = yshift if yshift is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class AngularAxis(_BaseLayoutHierarchyType):
-
-    # domain
-    # ------
-    @property
-    def domain(self):
-        """
-        Polar chart subplots are not supported yet. This key has
-        currently no effect.
-    
-        The 'domain' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'domain[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'domain[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["domain"]
-
-    @domain.setter
-    def domain(self, val):
-        self["domain"] = val
-
-    # endpadding
-    # ----------
-    @property
-    def endpadding(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots.
-    
-        The 'endpadding' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["endpadding"]
-
-    @endpadding.setter
-    def endpadding(self, val):
-        self["endpadding"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Defines the start and end point of this angular axis.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Determines whether or not the line bounding this
-        angular axis will be shown on the figure.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Determines whether or not the angular axis ticks will
-        feature tick labels.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the color of the tick lines on this angular
-        axis.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the length of the tick lines on this angular
-        axis.
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickorientation
-    # ---------------
-    @property
-    def tickorientation(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the orientation (from the paper perspective) of
-        the angular axis tick labels.
-    
-        The 'tickorientation' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['horizontal', 'vertical']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickorientation"]
-
-    @tickorientation.setter
-    def tickorientation(self, val):
-        self["tickorientation"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Sets the length of the tick lines on this angular
-        axis.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Legacy polar charts are deprecated! Please switch to "polar"
-        subplots. Determines whether or not this axis will be visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        domain
-            Polar chart subplots are not supported yet. This key
-            has currently no effect.
-        endpadding
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots.
-        range
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Defines the start and end point of
-            this angular axis.
-        showline
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the line
-            bounding this angular axis will be shown on the figure.
-        showticklabels
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the angular
-            axis ticks will feature tick labels.
-        tickcolor
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the color of the tick lines on
-            this angular axis.
-        ticklen
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this angular axis.
-        tickorientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the orientation (from the paper
-            perspective) of the angular axis tick labels.
-        ticksuffix
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this angular axis.
-        visible
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not this axis
-            will be visible.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        domain=None,
-        endpadding=None,
-        range=None,
-        showline=None,
-        showticklabels=None,
-        tickcolor=None,
-        ticklen=None,
-        tickorientation=None,
-        ticksuffix=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new AngularAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.AngularAxis`
-        domain
-            Polar chart subplots are not supported yet. This key
-            has currently no effect.
-        endpadding
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots.
-        range
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Defines the start and end point of
-            this angular axis.
-        showline
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the line
-            bounding this angular axis will be shown on the figure.
-        showticklabels
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not the angular
-            axis ticks will feature tick labels.
-        tickcolor
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the color of the tick lines on
-            this angular axis.
-        ticklen
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this angular axis.
-        tickorientation
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the orientation (from the paper
-            perspective) of the angular axis tick labels.
-        ticksuffix
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Sets the length of the tick lines on
-            this angular axis.
-        visible
-            Legacy polar charts are deprecated! Please switch to
-            "polar" subplots. Determines whether or not this axis
-            will be visible.
-
-        Returns
-        -------
-        AngularAxis
-        """
-        super(AngularAxis, self).__init__("angularaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.AngularAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.AngularAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout import angularaxis as v_angularaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["domain"] = v_angularaxis.DomainValidator()
-        self._validators["endpadding"] = v_angularaxis.EndpaddingValidator()
-        self._validators["range"] = v_angularaxis.RangeValidator()
-        self._validators["showline"] = v_angularaxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_angularaxis.ShowticklabelsValidator()
-        self._validators["tickcolor"] = v_angularaxis.TickcolorValidator()
-        self._validators["ticklen"] = v_angularaxis.TicklenValidator()
-        self._validators["tickorientation"] = v_angularaxis.TickorientationValidator()
-        self._validators["ticksuffix"] = v_angularaxis.TicksuffixValidator()
-        self._validators["visible"] = v_angularaxis.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("domain", None)
-        self["domain"] = domain if domain is not None else _v
-        _v = arg.pop("endpadding", None)
-        self["endpadding"] = endpadding if endpadding is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickorientation", None)
-        self["tickorientation"] = tickorientation if tickorientation is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "AngularAxis",
-    "Annotation",
-    "Annotation",
-    "Coloraxis",
-    "Colorscale",
-    "Font",
-    "Geo",
-    "Grid",
-    "Hoverlabel",
-    "Image",
-    "Image",
-    "Legend",
-    "Mapbox",
-    "Margin",
-    "Modebar",
-    "Polar",
-    "RadialAxis",
-    "Scene",
-    "Shape",
-    "Shape",
-    "Slider",
-    "Slider",
-    "Template",
-    "Ternary",
-    "Title",
-    "Transition",
-    "Uniformtext",
-    "Updatemenu",
-    "Updatemenu",
-    "XAxis",
-    "YAxis",
-    "annotation",
-    "coloraxis",
-    "geo",
-    "grid",
-    "hoverlabel",
-    "legend",
-    "mapbox",
-    "polar",
-    "scene",
-    "shape",
-    "slider",
-    "template",
-    "ternary",
-    "title",
-    "updatemenu",
-    "xaxis",
-    "yaxis",
-]
-
-from plotly.graph_objs.layout import yaxis
-from plotly.graph_objs.layout import xaxis
-from plotly.graph_objs.layout import updatemenu
-from plotly.graph_objs.layout import title
-from plotly.graph_objs.layout import ternary
-from plotly.graph_objs.layout import template
-from plotly.graph_objs.layout import slider
-from plotly.graph_objs.layout import shape
-from plotly.graph_objs.layout import scene
-from plotly.graph_objs.layout import polar
-from plotly.graph_objs.layout import mapbox
-from plotly.graph_objs.layout import legend
-from plotly.graph_objs.layout import hoverlabel
-from plotly.graph_objs.layout import grid
-from plotly.graph_objs.layout import geo
-from plotly.graph_objs.layout import coloraxis
-from plotly.graph_objs.layout import annotation
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxis import YAxis
+    from ._xaxis import XAxis
+    from ._updatemenu import Updatemenu
+    from ._uniformtext import Uniformtext
+    from ._transition import Transition
+    from ._title import Title
+    from ._ternary import Ternary
+    from ._template import Template
+    from ._slider import Slider
+    from ._shape import Shape
+    from ._scene import Scene
+    from ._radialaxis import RadialAxis
+    from ._polar import Polar
+    from ._modebar import Modebar
+    from ._margin import Margin
+    from ._mapbox import Mapbox
+    from ._legend import Legend
+    from ._image import Image
+    from ._hoverlabel import Hoverlabel
+    from ._grid import Grid
+    from ._geo import Geo
+    from ._font import Font
+    from ._colorscale import Colorscale
+    from ._coloraxis import Coloraxis
+    from ._annotation import Annotation
+    from ._angularaxis import AngularAxis
+    from . import yaxis
+    from . import xaxis
+    from . import updatemenu
+    from . import title
+    from . import ternary
+    from . import template
+    from . import slider
+    from . import shape
+    from . import scene
+    from . import polar
+    from . import mapbox
+    from . import legend
+    from . import hoverlabel
+    from . import grid
+    from . import geo
+    from . import coloraxis
+    from . import annotation
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [
+            ".yaxis",
+            ".xaxis",
+            ".updatemenu",
+            ".title",
+            ".ternary",
+            ".template",
+            ".slider",
+            ".shape",
+            ".scene",
+            ".polar",
+            ".mapbox",
+            ".legend",
+            ".hoverlabel",
+            ".grid",
+            ".geo",
+            ".coloraxis",
+            ".annotation",
+        ],
+        [
+            "._yaxis.YAxis",
+            "._xaxis.XAxis",
+            "._updatemenu.Updatemenu",
+            "._uniformtext.Uniformtext",
+            "._transition.Transition",
+            "._title.Title",
+            "._ternary.Ternary",
+            "._template.Template",
+            "._slider.Slider",
+            "._shape.Shape",
+            "._scene.Scene",
+            "._radialaxis.RadialAxis",
+            "._polar.Polar",
+            "._modebar.Modebar",
+            "._margin.Margin",
+            "._mapbox.Mapbox",
+            "._legend.Legend",
+            "._image.Image",
+            "._hoverlabel.Hoverlabel",
+            "._grid.Grid",
+            "._geo.Geo",
+            "._font.Font",
+            "._colorscale.Colorscale",
+            "._coloraxis.Coloraxis",
+            "._annotation.Annotation",
+            "._angularaxis.AngularAxis",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_angularaxis.py b/packages/python/plotly/plotly/graph_objs/layout/_angularaxis.py
new file mode 100644
index 00000000000..063ae096ba4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_angularaxis.py
@@ -0,0 +1,478 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class AngularAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.angularaxis"
+    _valid_props = {
+        "domain",
+        "endpadding",
+        "range",
+        "showline",
+        "showticklabels",
+        "tickcolor",
+        "ticklen",
+        "tickorientation",
+        "ticksuffix",
+        "visible",
+    }
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        Polar chart subplots are not supported yet. This key has
+        currently no effect.
+    
+        The 'domain' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'domain[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'domain[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # endpadding
+    # ----------
+    @property
+    def endpadding(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots.
+    
+        The 'endpadding' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["endpadding"]
+
+    @endpadding.setter
+    def endpadding(self, val):
+        self["endpadding"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Defines the start and end point of this angular axis.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Determines whether or not the line bounding this
+        angular axis will be shown on the figure.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Determines whether or not the angular axis ticks will
+        feature tick labels.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the color of the tick lines on this angular
+        axis.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the length of the tick lines on this angular
+        axis.
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickorientation
+    # ---------------
+    @property
+    def tickorientation(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the orientation (from the paper perspective) of
+        the angular axis tick labels.
+    
+        The 'tickorientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['horizontal', 'vertical']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickorientation"]
+
+    @tickorientation.setter
+    def tickorientation(self, val):
+        self["tickorientation"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the length of the tick lines on this angular
+        axis.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Determines whether or not this axis will be visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        domain
+            Polar chart subplots are not supported yet. This key
+            has currently no effect.
+        endpadding
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots.
+        range
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Defines the start and end point of
+            this angular axis.
+        showline
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the line
+            bounding this angular axis will be shown on the figure.
+        showticklabels
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the angular
+            axis ticks will feature tick labels.
+        tickcolor
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the color of the tick lines on
+            this angular axis.
+        ticklen
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this angular axis.
+        tickorientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the orientation (from the paper
+            perspective) of the angular axis tick labels.
+        ticksuffix
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this angular axis.
+        visible
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not this axis
+            will be visible.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        domain=None,
+        endpadding=None,
+        range=None,
+        showline=None,
+        showticklabels=None,
+        tickcolor=None,
+        ticklen=None,
+        tickorientation=None,
+        ticksuffix=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new AngularAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.AngularAxis`
+        domain
+            Polar chart subplots are not supported yet. This key
+            has currently no effect.
+        endpadding
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots.
+        range
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Defines the start and end point of
+            this angular axis.
+        showline
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the line
+            bounding this angular axis will be shown on the figure.
+        showticklabels
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the angular
+            axis ticks will feature tick labels.
+        tickcolor
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the color of the tick lines on
+            this angular axis.
+        ticklen
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this angular axis.
+        tickorientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the orientation (from the paper
+            perspective) of the angular axis tick labels.
+        ticksuffix
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this angular axis.
+        visible
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not this axis
+            will be visible.
+
+        Returns
+        -------
+        AngularAxis
+        """
+        super(AngularAxis, self).__init__("angularaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.AngularAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.AngularAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("endpadding", None)
+        _v = endpadding if endpadding is not None else _v
+        if _v is not None:
+            self["endpadding"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickorientation", None)
+        _v = tickorientation if tickorientation is not None else _v
+        if _v is not None:
+            self["tickorientation"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_annotation.py b/packages/python/plotly/plotly/graph_objs/layout/_annotation.py
new file mode 100644
index 00000000000..57072714cea
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_annotation.py
@@ -0,0 +1,1946 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Annotation(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.annotation"
+    _valid_props = {
+        "align",
+        "arrowcolor",
+        "arrowhead",
+        "arrowside",
+        "arrowsize",
+        "arrowwidth",
+        "ax",
+        "axref",
+        "ay",
+        "ayref",
+        "bgcolor",
+        "bordercolor",
+        "borderpad",
+        "borderwidth",
+        "captureevents",
+        "clicktoshow",
+        "font",
+        "height",
+        "hoverlabel",
+        "hovertext",
+        "name",
+        "opacity",
+        "showarrow",
+        "standoff",
+        "startarrowhead",
+        "startarrowsize",
+        "startstandoff",
+        "templateitemname",
+        "text",
+        "textangle",
+        "valign",
+        "visible",
+        "width",
+        "x",
+        "xanchor",
+        "xclick",
+        "xref",
+        "xshift",
+        "y",
+        "yanchor",
+        "yclick",
+        "yref",
+        "yshift",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the `text` within the box. Has
+        an effect only if `text` spans two or more lines (i.e. `text`
+        contains one or more <br> HTML tags) or if an explicit width is
+        set to override the text width.
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # arrowcolor
+    # ----------
+    @property
+    def arrowcolor(self):
+        """
+        Sets the color of the annotation arrow.
+    
+        The 'arrowcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["arrowcolor"]
+
+    @arrowcolor.setter
+    def arrowcolor(self, val):
+        self["arrowcolor"] = val
+
+    # arrowhead
+    # ---------
+    @property
+    def arrowhead(self):
+        """
+        Sets the end annotation arrow head style.
+    
+        The 'arrowhead' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 8]
+
+        Returns
+        -------
+        int
+        """
+        return self["arrowhead"]
+
+    @arrowhead.setter
+    def arrowhead(self, val):
+        self["arrowhead"] = val
+
+    # arrowside
+    # ---------
+    @property
+    def arrowside(self):
+        """
+        Sets the annotation arrow head position.
+    
+        The 'arrowside' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['end', 'start'] joined with '+' characters
+            (e.g. 'end+start')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["arrowside"]
+
+    @arrowside.setter
+    def arrowside(self, val):
+        self["arrowside"] = val
+
+    # arrowsize
+    # ---------
+    @property
+    def arrowsize(self):
+        """
+        Sets the size of the end annotation arrow head, relative to
+        `arrowwidth`. A value of 1 (default) gives a head about 3x as
+        wide as the line.
+    
+        The 'arrowsize' property is a number and may be specified as:
+          - An int or float in the interval [0.3, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["arrowsize"]
+
+    @arrowsize.setter
+    def arrowsize(self, val):
+        self["arrowsize"] = val
+
+    # arrowwidth
+    # ----------
+    @property
+    def arrowwidth(self):
+        """
+        Sets the width (in px) of annotation arrow line.
+    
+        The 'arrowwidth' property is a number and may be specified as:
+          - An int or float in the interval [0.1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["arrowwidth"]
+
+    @arrowwidth.setter
+    def arrowwidth(self, val):
+        self["arrowwidth"] = val
+
+    # ax
+    # --
+    @property
+    def ax(self):
+        """
+        Sets the x component of the arrow tail about the arrow head. If
+        `axref` is `pixel`, a positive (negative)  component
+        corresponds to an arrow pointing from right to left (left to
+        right). If `axref` is an axis, this is an absolute value on
+        that axis, like `x`, NOT a relative value.
+    
+        The 'ax' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["ax"]
+
+    @ax.setter
+    def ax(self, val):
+        self["ax"] = val
+
+    # axref
+    # -----
+    @property
+    def axref(self):
+        """
+        Indicates in what terms the tail of the annotation (ax,ay)  is
+        specified. If `pixel`, `ax` is a relative offset in pixels
+        from `x`. If set to an x axis id (e.g. "x" or "x2"), `ax` is
+        specified in the same terms as that axis. This is useful  for
+        trendline annotations which should continue to indicate  the
+        correct trend when zoomed.
+    
+        The 'axref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['pixel']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["axref"]
+
+    @axref.setter
+    def axref(self, val):
+        self["axref"] = val
+
+    # ay
+    # --
+    @property
+    def ay(self):
+        """
+        Sets the y component of the arrow tail about the arrow head. If
+        `ayref` is `pixel`, a positive (negative)  component
+        corresponds to an arrow pointing from bottom to top (top to
+        bottom). If `ayref` is an axis, this is an absolute value on
+        that axis, like `y`, NOT a relative value.
+    
+        The 'ay' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["ay"]
+
+    @ay.setter
+    def ay(self, val):
+        self["ay"] = val
+
+    # ayref
+    # -----
+    @property
+    def ayref(self):
+        """
+        Indicates in what terms the tail of the annotation (ax,ay)  is
+        specified. If `pixel`, `ay` is a relative offset in pixels
+        from `y`. If set to a y axis id (e.g. "y" or "y2"), `ay` is
+        specified in the same terms as that axis. This is useful  for
+        trendline annotations which should continue to indicate  the
+        correct trend when zoomed.
+    
+        The 'ayref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['pixel']
+          - A string that matches one of the following regular expressions:
+                ['^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ayref"]
+
+    @ayref.setter
+    def ayref(self, val):
+        self["ayref"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the annotation.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the annotation `text`.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderpad
+    # ---------
+    @property
+    def borderpad(self):
+        """
+        Sets the padding (in px) between the `text` and the enclosing
+        border.
+    
+        The 'borderpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderpad"]
+
+    @borderpad.setter
+    def borderpad(self, val):
+        self["borderpad"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the annotation
+        `text`.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # captureevents
+    # -------------
+    @property
+    def captureevents(self):
+        """
+        Determines whether the annotation text box captures mouse move
+        and click events, or allows those events to pass through to
+        data points in the plot that may be behind the annotation. By
+        default `captureevents` is False unless `hovertext` is
+        provided. If you use the event `plotly_clickannotation` without
+        `hovertext` you must explicitly enable `captureevents`.
+    
+        The 'captureevents' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["captureevents"]
+
+    @captureevents.setter
+    def captureevents(self, val):
+        self["captureevents"] = val
+
+    # clicktoshow
+    # -----------
+    @property
+    def clicktoshow(self):
+        """
+        Makes this annotation respond to clicks on the plot. If you
+        click a data point that exactly matches the `x` and `y` values
+        of this annotation, and it is hidden (visible: false), it will
+        appear. In "onoff" mode, you must click the same point again to
+        make it disappear, so if you click multiple points, you can
+        show multiple annotations. In "onout" mode, a click anywhere
+        else in the plot (on another data point or not) will hide this
+        annotation. If you need to show/hide this annotation in
+        response to different `x` or `y` values, you can set `xclick`
+        and/or `yclick`. This is useful for example to label the side
+        of a bar. To label markers though, `standoff` is preferred over
+        `xclick` and `yclick`.
+    
+        The 'clicktoshow' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [False, 'onoff', 'onout']
+
+        Returns
+        -------
+        Any
+        """
+        return self["clicktoshow"]
+
+    @clicktoshow.setter
+    def clicktoshow(self, val):
+        self["clicktoshow"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the annotation text font.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.annotation.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.annotation.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # height
+    # ------
+    @property
+    def height(self):
+        """
+        Sets an explicit height for the text box. null (default) lets
+        the text set the box height. Taller text will be clipped.
+    
+        The 'height' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["height"]
+
+    @height.setter
+    def height(self, val):
+        self["height"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.annotation.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the background color of the hover label.
+                    By default uses the annotation's `bgcolor` made
+                    opaque, or white if it was transparent.
+                bordercolor
+                    Sets the border color of the hover label. By
+                    default uses either dark grey or white, for
+                    maximum contrast with `hoverlabel.bgcolor`.
+                font
+                    Sets the hover label text font. By default uses
+                    the global hover font and size, with color from
+                    `hoverlabel.bordercolor`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.annotation.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets text to appear when hovering over this annotation. If
+        omitted or blank, no hover label will appear.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the annotation (text + arrow).
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # showarrow
+    # ---------
+    @property
+    def showarrow(self):
+        """
+        Determines whether or not the annotation is drawn with an
+        arrow. If True, `text` is placed near the arrow's tail. If
+        False, `text` lines up with the `x` and `y` provided.
+    
+        The 'showarrow' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showarrow"]
+
+    @showarrow.setter
+    def showarrow(self, val):
+        self["showarrow"] = val
+
+    # standoff
+    # --------
+    @property
+    def standoff(self):
+        """
+        Sets a distance, in pixels, to move the end arrowhead away from
+        the position it is pointing at, for example to point at the
+        edge of a marker independent of zoom. Note that this shortens
+        the arrow from the `ax` / `ay` vector, in contrast to `xshift`
+        / `yshift` which moves everything by this amount.
+    
+        The 'standoff' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["standoff"]
+
+    @standoff.setter
+    def standoff(self, val):
+        self["standoff"] = val
+
+    # startarrowhead
+    # --------------
+    @property
+    def startarrowhead(self):
+        """
+        Sets the start annotation arrow head style.
+    
+        The 'startarrowhead' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 8]
+
+        Returns
+        -------
+        int
+        """
+        return self["startarrowhead"]
+
+    @startarrowhead.setter
+    def startarrowhead(self, val):
+        self["startarrowhead"] = val
+
+    # startarrowsize
+    # --------------
+    @property
+    def startarrowsize(self):
+        """
+        Sets the size of the start annotation arrow head, relative to
+        `arrowwidth`. A value of 1 (default) gives a head about 3x as
+        wide as the line.
+    
+        The 'startarrowsize' property is a number and may be specified as:
+          - An int or float in the interval [0.3, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["startarrowsize"]
+
+    @startarrowsize.setter
+    def startarrowsize(self, val):
+        self["startarrowsize"] = val
+
+    # startstandoff
+    # -------------
+    @property
+    def startstandoff(self):
+        """
+        Sets a distance, in pixels, to move the start arrowhead away
+        from the position it is pointing at, for example to point at
+        the edge of a marker independent of zoom. Note that this
+        shortens the arrow from the `ax` / `ay` vector, in contrast to
+        `xshift` / `yshift` which moves everything by this amount.
+    
+        The 'startstandoff' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["startstandoff"]
+
+    @startstandoff.setter
+    def startstandoff(self, val):
+        self["startstandoff"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text associated with this annotation. Plotly uses a
+        subset of HTML tags to do things like newline (<br>), bold
+        (<b></b>), italics (<i></i>), hyperlinks (<a href='...'></a>).
+        Tags <em>, <sup>, <sub> <span> are also supported.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textangle
+    # ---------
+    @property
+    def textangle(self):
+        """
+        Sets the angle at which the `text` is drawn with respect to the
+        horizontal.
+    
+        The 'textangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["textangle"]
+
+    @textangle.setter
+    def textangle(self, val):
+        self["textangle"] = val
+
+    # valign
+    # ------
+    @property
+    def valign(self):
+        """
+        Sets the vertical alignment of the `text` within the box. Has
+        an effect only if an explicit height is set to override the
+        text height.
+    
+        The 'valign' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["valign"]
+
+    @valign.setter
+    def valign(self, val):
+        self["valign"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this annotation is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets an explicit width for the text box. null (default) lets
+        the text set the box width. Wider text will be clipped. There
+        is no automatic wrapping; use <br> to start a new line.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the annotation's x position. If the axis `type` is "log",
+        then you must take the log of your desired range. If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'x' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the text box's horizontal position anchor This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the annotation. For example, if `x` is set to 1, `xref` to
+        "paper" and `xanchor` to "right" then the right-most portion of
+        the annotation lines up with the right-most edge of the
+        plotting area. If "auto", the anchor is equivalent to "center"
+        for data-referenced annotations or if there is an arrow,
+        whereas for paper-referenced with no arrow, the anchor picked
+        corresponds to the closest side.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xclick
+    # ------
+    @property
+    def xclick(self):
+        """
+        Toggle this annotation when clicking a data point whose `x`
+        value is `xclick` rather than the annotation's `x` value.
+    
+        The 'xclick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["xclick"]
+
+    @xclick.setter
+    def xclick(self, val):
+        self["xclick"] = val
+
+    # xref
+    # ----
+    @property
+    def xref(self):
+        """
+        Sets the annotation's x coordinate axis. If set to an x axis id
+        (e.g. "x" or "x2"), the `x` position refers to an x coordinate
+        If set to "paper", the `x` position refers to the distance from
+        the left side of the plotting area in normalized coordinates
+        where 0 (1) corresponds to the left (right) side.
+    
+        The 'xref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['paper']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xref"]
+
+    @xref.setter
+    def xref(self, val):
+        self["xref"] = val
+
+    # xshift
+    # ------
+    @property
+    def xshift(self):
+        """
+        Shifts the position of the whole annotation and arrow to the
+        right (positive) or left (negative) by this many pixels.
+    
+        The 'xshift' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xshift"]
+
+    @xshift.setter
+    def xshift(self, val):
+        self["xshift"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the annotation's y position. If the axis `type` is "log",
+        then you must take the log of your desired range. If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'y' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the text box's vertical position anchor This anchor binds
+        the `y` position to the "top", "middle" or "bottom" of the
+        annotation. For example, if `y` is set to 1, `yref` to "paper"
+        and `yanchor` to "top" then the top-most portion of the
+        annotation lines up with the top-most edge of the plotting
+        area. If "auto", the anchor is equivalent to "middle" for data-
+        referenced annotations or if there is an arrow, whereas for
+        paper-referenced with no arrow, the anchor picked corresponds
+        to the closest side.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # yclick
+    # ------
+    @property
+    def yclick(self):
+        """
+        Toggle this annotation when clicking a data point whose `y`
+        value is `yclick` rather than the annotation's `y` value.
+    
+        The 'yclick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["yclick"]
+
+    @yclick.setter
+    def yclick(self, val):
+        self["yclick"] = val
+
+    # yref
+    # ----
+    @property
+    def yref(self):
+        """
+        Sets the annotation's y coordinate axis. If set to an y axis id
+        (e.g. "y" or "y2"), the `y` position refers to an y coordinate
+        If set to "paper", the `y` position refers to the distance from
+        the bottom of the plotting area in normalized coordinates where
+        0 (1) corresponds to the bottom (top).
+    
+        The 'yref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['paper']
+          - A string that matches one of the following regular expressions:
+                ['^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yref"]
+
+    @yref.setter
+    def yref(self, val):
+        self["yref"] = val
+
+    # yshift
+    # ------
+    @property
+    def yshift(self):
+        """
+        Shifts the position of the whole annotation and arrow up
+        (positive) or down (negative) by this many pixels.
+    
+        The 'yshift' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["yshift"]
+
+    @yshift.setter
+    def yshift(self, val):
+        self["yshift"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        arrowcolor
+            Sets the color of the annotation arrow.
+        arrowhead
+            Sets the end annotation arrow head style.
+        arrowside
+            Sets the annotation arrow head position.
+        arrowsize
+            Sets the size of the end annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        arrowwidth
+            Sets the width (in px) of annotation arrow line.
+        ax
+            Sets the x component of the arrow tail about the arrow
+            head. If `axref` is `pixel`, a positive (negative)
+            component corresponds to an arrow pointing from right
+            to left (left to right). If `axref` is an axis, this is
+            an absolute value on that axis, like `x`, NOT a
+            relative value.
+        axref
+            Indicates in what terms the tail of the annotation
+            (ax,ay)  is specified. If `pixel`, `ax` is a relative
+            offset in pixels  from `x`. If set to an x axis id
+            (e.g. "x" or "x2"), `ax` is  specified in the same
+            terms as that axis. This is useful  for trendline
+            annotations which should continue to indicate  the
+            correct trend when zoomed.
+        ay
+            Sets the y component of the arrow tail about the arrow
+            head. If `ayref` is `pixel`, a positive (negative)
+            component corresponds to an arrow pointing from bottom
+            to top (top to bottom). If `ayref` is an axis, this is
+            an absolute value on that axis, like `y`, NOT a
+            relative value.
+        ayref
+            Indicates in what terms the tail of the annotation
+            (ax,ay)  is specified. If `pixel`, `ay` is a relative
+            offset in pixels  from `y`. If set to a y axis id (e.g.
+            "y" or "y2"), `ay` is  specified in the same terms as
+            that axis. This is useful  for trendline annotations
+            which should continue to indicate  the correct trend
+            when zoomed.
+        bgcolor
+            Sets the background color of the annotation.
+        bordercolor
+            Sets the color of the border enclosing the annotation
+            `text`.
+        borderpad
+            Sets the padding (in px) between the `text` and the
+            enclosing border.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            annotation `text`.
+        captureevents
+            Determines whether the annotation text box captures
+            mouse move and click events, or allows those events to
+            pass through to data points in the plot that may be
+            behind the annotation. By default `captureevents` is
+            False unless `hovertext` is provided. If you use the
+            event `plotly_clickannotation` without `hovertext` you
+            must explicitly enable `captureevents`.
+        clicktoshow
+            Makes this annotation respond to clicks on the plot. If
+            you click a data point that exactly matches the `x` and
+            `y` values of this annotation, and it is hidden
+            (visible: false), it will appear. In "onoff" mode, you
+            must click the same point again to make it disappear,
+            so if you click multiple points, you can show multiple
+            annotations. In "onout" mode, a click anywhere else in
+            the plot (on another data point or not) will hide this
+            annotation. If you need to show/hide this annotation in
+            response to different `x` or `y` values, you can set
+            `xclick` and/or `yclick`. This is useful for example to
+            label the side of a bar. To label markers though,
+            `standoff` is preferred over `xclick` and `yclick`.
+        font
+            Sets the annotation text font.
+        height
+            Sets an explicit height for the text box. null
+            (default) lets the text set the box height. Taller text
+            will be clipped.
+        hoverlabel
+            :class:`plotly.graph_objects.layout.annotation.Hoverlab
+            el` instance or dict with compatible properties
+        hovertext
+            Sets text to appear when hovering over this annotation.
+            If omitted or blank, no hover label will appear.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the annotation (text + arrow).
+        showarrow
+            Determines whether or not the annotation is drawn with
+            an arrow. If True, `text` is placed near the arrow's
+            tail. If False, `text` lines up with the `x` and `y`
+            provided.
+        standoff
+            Sets a distance, in pixels, to move the end arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        startarrowhead
+            Sets the start annotation arrow head style.
+        startarrowsize
+            Sets the size of the start annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        startstandoff
+            Sets a distance, in pixels, to move the start arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        text
+            Sets the text associated with this annotation. Plotly
+            uses a subset of HTML tags to do things like newline
+            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
+            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
+            are also supported.
+        textangle
+            Sets the angle at which the `text` is drawn with
+            respect to the horizontal.
+        valign
+            Sets the vertical alignment of the `text` within the
+            box. Has an effect only if an explicit height is set to
+            override the text height.
+        visible
+            Determines whether or not this annotation is visible.
+        width
+            Sets an explicit width for the text box. null (default)
+            lets the text set the box width. Wider text will be
+            clipped. There is no automatic wrapping; use <br> to
+            start a new line.
+        x
+            Sets the annotation's x position. If the axis `type` is
+            "log", then you must take the log of your desired
+            range. If the axis `type` is "date", it should be date
+            strings, like date data, though Date objects and unix
+            milliseconds will be accepted and converted to strings.
+            If the axis `type` is "category", it should be numbers,
+            using the scale where each category is assigned a
+            serial number from zero in the order it appears.
+        xanchor
+            Sets the text box's horizontal position anchor This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the annotation. For example, if `x` is
+            set to 1, `xref` to "paper" and `xanchor` to "right"
+            then the right-most portion of the annotation lines up
+            with the right-most edge of the plotting area. If
+            "auto", the anchor is equivalent to "center" for data-
+            referenced annotations or if there is an arrow, whereas
+            for paper-referenced with no arrow, the anchor picked
+            corresponds to the closest side.
+        xclick
+            Toggle this annotation when clicking a data point whose
+            `x` value is `xclick` rather than the annotation's `x`
+            value.
+        xref
+            Sets the annotation's x coordinate axis. If set to an x
+            axis id (e.g. "x" or "x2"), the `x` position refers to
+            an x coordinate If set to "paper", the `x` position
+            refers to the distance from the left side of the
+            plotting area in normalized coordinates where 0 (1)
+            corresponds to the left (right) side.
+        xshift
+            Shifts the position of the whole annotation and arrow
+            to the right (positive) or left (negative) by this many
+            pixels.
+        y
+            Sets the annotation's y position. If the axis `type` is
+            "log", then you must take the log of your desired
+            range. If the axis `type` is "date", it should be date
+            strings, like date data, though Date objects and unix
+            milliseconds will be accepted and converted to strings.
+            If the axis `type` is "category", it should be numbers,
+            using the scale where each category is assigned a
+            serial number from zero in the order it appears.
+        yanchor
+            Sets the text box's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the annotation. For example, if `y` is set
+            to 1, `yref` to "paper" and `yanchor` to "top" then the
+            top-most portion of the annotation lines up with the
+            top-most edge of the plotting area. If "auto", the
+            anchor is equivalent to "middle" for data-referenced
+            annotations or if there is an arrow, whereas for paper-
+            referenced with no arrow, the anchor picked corresponds
+            to the closest side.
+        yclick
+            Toggle this annotation when clicking a data point whose
+            `y` value is `yclick` rather than the annotation's `y`
+            value.
+        yref
+            Sets the annotation's y coordinate axis. If set to an y
+            axis id (e.g. "y" or "y2"), the `y` position refers to
+            an y coordinate If set to "paper", the `y` position
+            refers to the distance from the bottom of the plotting
+            area in normalized coordinates where 0 (1) corresponds
+            to the bottom (top).
+        yshift
+            Shifts the position of the whole annotation and arrow
+            up (positive) or down (negative) by this many pixels.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        arrowcolor=None,
+        arrowhead=None,
+        arrowside=None,
+        arrowsize=None,
+        arrowwidth=None,
+        ax=None,
+        axref=None,
+        ay=None,
+        ayref=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderpad=None,
+        borderwidth=None,
+        captureevents=None,
+        clicktoshow=None,
+        font=None,
+        height=None,
+        hoverlabel=None,
+        hovertext=None,
+        name=None,
+        opacity=None,
+        showarrow=None,
+        standoff=None,
+        startarrowhead=None,
+        startarrowsize=None,
+        startstandoff=None,
+        templateitemname=None,
+        text=None,
+        textangle=None,
+        valign=None,
+        visible=None,
+        width=None,
+        x=None,
+        xanchor=None,
+        xclick=None,
+        xref=None,
+        xshift=None,
+        y=None,
+        yanchor=None,
+        yclick=None,
+        yref=None,
+        yshift=None,
+        **kwargs
+    ):
+        """
+        Construct a new Annotation object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Annotation`
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        arrowcolor
+            Sets the color of the annotation arrow.
+        arrowhead
+            Sets the end annotation arrow head style.
+        arrowside
+            Sets the annotation arrow head position.
+        arrowsize
+            Sets the size of the end annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        arrowwidth
+            Sets the width (in px) of annotation arrow line.
+        ax
+            Sets the x component of the arrow tail about the arrow
+            head. If `axref` is `pixel`, a positive (negative)
+            component corresponds to an arrow pointing from right
+            to left (left to right). If `axref` is an axis, this is
+            an absolute value on that axis, like `x`, NOT a
+            relative value.
+        axref
+            Indicates in what terms the tail of the annotation
+            (ax,ay)  is specified. If `pixel`, `ax` is a relative
+            offset in pixels  from `x`. If set to an x axis id
+            (e.g. "x" or "x2"), `ax` is  specified in the same
+            terms as that axis. This is useful  for trendline
+            annotations which should continue to indicate  the
+            correct trend when zoomed.
+        ay
+            Sets the y component of the arrow tail about the arrow
+            head. If `ayref` is `pixel`, a positive (negative)
+            component corresponds to an arrow pointing from bottom
+            to top (top to bottom). If `ayref` is an axis, this is
+            an absolute value on that axis, like `y`, NOT a
+            relative value.
+        ayref
+            Indicates in what terms the tail of the annotation
+            (ax,ay)  is specified. If `pixel`, `ay` is a relative
+            offset in pixels  from `y`. If set to a y axis id (e.g.
+            "y" or "y2"), `ay` is  specified in the same terms as
+            that axis. This is useful  for trendline annotations
+            which should continue to indicate  the correct trend
+            when zoomed.
+        bgcolor
+            Sets the background color of the annotation.
+        bordercolor
+            Sets the color of the border enclosing the annotation
+            `text`.
+        borderpad
+            Sets the padding (in px) between the `text` and the
+            enclosing border.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            annotation `text`.
+        captureevents
+            Determines whether the annotation text box captures
+            mouse move and click events, or allows those events to
+            pass through to data points in the plot that may be
+            behind the annotation. By default `captureevents` is
+            False unless `hovertext` is provided. If you use the
+            event `plotly_clickannotation` without `hovertext` you
+            must explicitly enable `captureevents`.
+        clicktoshow
+            Makes this annotation respond to clicks on the plot. If
+            you click a data point that exactly matches the `x` and
+            `y` values of this annotation, and it is hidden
+            (visible: false), it will appear. In "onoff" mode, you
+            must click the same point again to make it disappear,
+            so if you click multiple points, you can show multiple
+            annotations. In "onout" mode, a click anywhere else in
+            the plot (on another data point or not) will hide this
+            annotation. If you need to show/hide this annotation in
+            response to different `x` or `y` values, you can set
+            `xclick` and/or `yclick`. This is useful for example to
+            label the side of a bar. To label markers though,
+            `standoff` is preferred over `xclick` and `yclick`.
+        font
+            Sets the annotation text font.
+        height
+            Sets an explicit height for the text box. null
+            (default) lets the text set the box height. Taller text
+            will be clipped.
+        hoverlabel
+            :class:`plotly.graph_objects.layout.annotation.Hoverlab
+            el` instance or dict with compatible properties
+        hovertext
+            Sets text to appear when hovering over this annotation.
+            If omitted or blank, no hover label will appear.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the annotation (text + arrow).
+        showarrow
+            Determines whether or not the annotation is drawn with
+            an arrow. If True, `text` is placed near the arrow's
+            tail. If False, `text` lines up with the `x` and `y`
+            provided.
+        standoff
+            Sets a distance, in pixels, to move the end arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        startarrowhead
+            Sets the start annotation arrow head style.
+        startarrowsize
+            Sets the size of the start annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        startstandoff
+            Sets a distance, in pixels, to move the start arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        text
+            Sets the text associated with this annotation. Plotly
+            uses a subset of HTML tags to do things like newline
+            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
+            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
+            are also supported.
+        textangle
+            Sets the angle at which the `text` is drawn with
+            respect to the horizontal.
+        valign
+            Sets the vertical alignment of the `text` within the
+            box. Has an effect only if an explicit height is set to
+            override the text height.
+        visible
+            Determines whether or not this annotation is visible.
+        width
+            Sets an explicit width for the text box. null (default)
+            lets the text set the box width. Wider text will be
+            clipped. There is no automatic wrapping; use <br> to
+            start a new line.
+        x
+            Sets the annotation's x position. If the axis `type` is
+            "log", then you must take the log of your desired
+            range. If the axis `type` is "date", it should be date
+            strings, like date data, though Date objects and unix
+            milliseconds will be accepted and converted to strings.
+            If the axis `type` is "category", it should be numbers,
+            using the scale where each category is assigned a
+            serial number from zero in the order it appears.
+        xanchor
+            Sets the text box's horizontal position anchor This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the annotation. For example, if `x` is
+            set to 1, `xref` to "paper" and `xanchor` to "right"
+            then the right-most portion of the annotation lines up
+            with the right-most edge of the plotting area. If
+            "auto", the anchor is equivalent to "center" for data-
+            referenced annotations or if there is an arrow, whereas
+            for paper-referenced with no arrow, the anchor picked
+            corresponds to the closest side.
+        xclick
+            Toggle this annotation when clicking a data point whose
+            `x` value is `xclick` rather than the annotation's `x`
+            value.
+        xref
+            Sets the annotation's x coordinate axis. If set to an x
+            axis id (e.g. "x" or "x2"), the `x` position refers to
+            an x coordinate If set to "paper", the `x` position
+            refers to the distance from the left side of the
+            plotting area in normalized coordinates where 0 (1)
+            corresponds to the left (right) side.
+        xshift
+            Shifts the position of the whole annotation and arrow
+            to the right (positive) or left (negative) by this many
+            pixels.
+        y
+            Sets the annotation's y position. If the axis `type` is
+            "log", then you must take the log of your desired
+            range. If the axis `type` is "date", it should be date
+            strings, like date data, though Date objects and unix
+            milliseconds will be accepted and converted to strings.
+            If the axis `type` is "category", it should be numbers,
+            using the scale where each category is assigned a
+            serial number from zero in the order it appears.
+        yanchor
+            Sets the text box's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the annotation. For example, if `y` is set
+            to 1, `yref` to "paper" and `yanchor` to "top" then the
+            top-most portion of the annotation lines up with the
+            top-most edge of the plotting area. If "auto", the
+            anchor is equivalent to "middle" for data-referenced
+            annotations or if there is an arrow, whereas for paper-
+            referenced with no arrow, the anchor picked corresponds
+            to the closest side.
+        yclick
+            Toggle this annotation when clicking a data point whose
+            `y` value is `yclick` rather than the annotation's `y`
+            value.
+        yref
+            Sets the annotation's y coordinate axis. If set to an y
+            axis id (e.g. "y" or "y2"), the `y` position refers to
+            an y coordinate If set to "paper", the `y` position
+            refers to the distance from the bottom of the plotting
+            area in normalized coordinates where 0 (1) corresponds
+            to the bottom (top).
+        yshift
+            Shifts the position of the whole annotation and arrow
+            up (positive) or down (negative) by this many pixels.
+
+        Returns
+        -------
+        Annotation
+        """
+        super(Annotation, self).__init__("annotations")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Annotation 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Annotation`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("arrowcolor", None)
+        _v = arrowcolor if arrowcolor is not None else _v
+        if _v is not None:
+            self["arrowcolor"] = _v
+        _v = arg.pop("arrowhead", None)
+        _v = arrowhead if arrowhead is not None else _v
+        if _v is not None:
+            self["arrowhead"] = _v
+        _v = arg.pop("arrowside", None)
+        _v = arrowside if arrowside is not None else _v
+        if _v is not None:
+            self["arrowside"] = _v
+        _v = arg.pop("arrowsize", None)
+        _v = arrowsize if arrowsize is not None else _v
+        if _v is not None:
+            self["arrowsize"] = _v
+        _v = arg.pop("arrowwidth", None)
+        _v = arrowwidth if arrowwidth is not None else _v
+        if _v is not None:
+            self["arrowwidth"] = _v
+        _v = arg.pop("ax", None)
+        _v = ax if ax is not None else _v
+        if _v is not None:
+            self["ax"] = _v
+        _v = arg.pop("axref", None)
+        _v = axref if axref is not None else _v
+        if _v is not None:
+            self["axref"] = _v
+        _v = arg.pop("ay", None)
+        _v = ay if ay is not None else _v
+        if _v is not None:
+            self["ay"] = _v
+        _v = arg.pop("ayref", None)
+        _v = ayref if ayref is not None else _v
+        if _v is not None:
+            self["ayref"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderpad", None)
+        _v = borderpad if borderpad is not None else _v
+        if _v is not None:
+            self["borderpad"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("captureevents", None)
+        _v = captureevents if captureevents is not None else _v
+        if _v is not None:
+            self["captureevents"] = _v
+        _v = arg.pop("clicktoshow", None)
+        _v = clicktoshow if clicktoshow is not None else _v
+        if _v is not None:
+            self["clicktoshow"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("height", None)
+        _v = height if height is not None else _v
+        if _v is not None:
+            self["height"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("showarrow", None)
+        _v = showarrow if showarrow is not None else _v
+        if _v is not None:
+            self["showarrow"] = _v
+        _v = arg.pop("standoff", None)
+        _v = standoff if standoff is not None else _v
+        if _v is not None:
+            self["standoff"] = _v
+        _v = arg.pop("startarrowhead", None)
+        _v = startarrowhead if startarrowhead is not None else _v
+        if _v is not None:
+            self["startarrowhead"] = _v
+        _v = arg.pop("startarrowsize", None)
+        _v = startarrowsize if startarrowsize is not None else _v
+        if _v is not None:
+            self["startarrowsize"] = _v
+        _v = arg.pop("startstandoff", None)
+        _v = startstandoff if startstandoff is not None else _v
+        if _v is not None:
+            self["startstandoff"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textangle", None)
+        _v = textangle if textangle is not None else _v
+        if _v is not None:
+            self["textangle"] = _v
+        _v = arg.pop("valign", None)
+        _v = valign if valign is not None else _v
+        if _v is not None:
+            self["valign"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xclick", None)
+        _v = xclick if xclick is not None else _v
+        if _v is not None:
+            self["xclick"] = _v
+        _v = arg.pop("xref", None)
+        _v = xref if xref is not None else _v
+        if _v is not None:
+            self["xref"] = _v
+        _v = arg.pop("xshift", None)
+        _v = xshift if xshift is not None else _v
+        if _v is not None:
+            self["xshift"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("yclick", None)
+        _v = yclick if yclick is not None else _v
+        if _v is not None:
+            self["yclick"] = _v
+        _v = arg.pop("yref", None)
+        _v = yref if yref is not None else _v
+        if _v is not None:
+            self["yref"] = _v
+        _v = arg.pop("yshift", None)
+        _v = yshift if yshift is not None else _v
+        if _v is not None:
+            self["yshift"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_coloraxis.py b/packages/python/plotly/plotly/graph_objs/layout/_coloraxis.py
new file mode 100644
index 00000000000..19b89908dd4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_coloraxis.py
@@ -0,0 +1,671 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Coloraxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.coloraxis"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "colorbar",
+        "colorscale",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `colorscale`. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here corresponding trace color
+        array(s)) or the bounds set in `cmin` and `cmax`  Defaults to
+        `false` when `cmin` and `cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Value should have the
+        same units as corresponding trace color array(s) and if set,
+        `cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `cmin` and/or
+        `cmax` to be equidistant to this point. Value should have the
+        same units as corresponding trace color array(s). Has no effect
+        when `cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Value should have the
+        same units as corresponding trace color array(s) and if set,
+        `cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.coloraxis.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    coloraxis.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.coloraxis.colorbar.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of
+                    layout.coloraxis.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.coloraxis.c
+                    olorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.coloraxis.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    layout.coloraxis.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.coloraxis.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. If true, `cmin` will
+        correspond to the last color in the array and `cmax` will
+        correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here corresponding
+            trace color array(s)) or the bounds set in `cmin` and
+            `cmax`  Defaults to `false` when `cmin` and `cmax` are
+            set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as corresponding trace color
+            array(s) and if set, `cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as corresponding trace
+            color array(s). Has no effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as corresponding trace color
+            array(s) and if set, `cmax` must be set as well.
+        colorbar
+            :class:`plotly.graph_objects.layout.coloraxis.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        colorbar=None,
+        colorscale=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Coloraxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Coloraxis`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `colorscale`. In case `colorscale` is unspecified or
+            `autocolorscale` is true, the default  palette will be
+            chosen according to whether numbers in the `color`
+            array are all positive, all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here corresponding
+            trace color array(s)) or the bounds set in `cmin` and
+            `cmax`  Defaults to `false` when `cmin` and `cmax` are
+            set by the user.
+        cmax
+            Sets the upper bound of the color domain. Value should
+            have the same units as corresponding trace color
+            array(s) and if set, `cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `cmin` and/or `cmax` to be equidistant to this point.
+            Value should have the same units as corresponding trace
+            color array(s). Has no effect when `cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Value should
+            have the same units as corresponding trace color
+            array(s) and if set, `cmax` must be set as well.
+        colorbar
+            :class:`plotly.graph_objects.layout.coloraxis.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        reversescale
+            Reverses the color mapping if true. If true, `cmin`
+            will correspond to the last color in the array and
+            `cmax` will correspond to the first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace.
+
+        Returns
+        -------
+        Coloraxis
+        """
+        super(Coloraxis, self).__init__("coloraxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Coloraxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Coloraxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_colorscale.py b/packages/python/plotly/plotly/graph_objs/layout/_colorscale.py
new file mode 100644
index 00000000000..a264dde273c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_colorscale.py
@@ -0,0 +1,242 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Colorscale(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.colorscale"
+    _valid_props = {"diverging", "sequential", "sequentialminus"}
+
+    # diverging
+    # ---------
+    @property
+    def diverging(self):
+        """
+        Sets the default diverging colorscale. Note that
+        `autocolorscale` must be true for this attribute to work.
+    
+        The 'diverging' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["diverging"]
+
+    @diverging.setter
+    def diverging(self, val):
+        self["diverging"] = val
+
+    # sequential
+    # ----------
+    @property
+    def sequential(self):
+        """
+        Sets the default sequential colorscale for positive values.
+        Note that `autocolorscale` must be true for this attribute to
+        work.
+    
+        The 'sequential' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["sequential"]
+
+    @sequential.setter
+    def sequential(self, val):
+        self["sequential"] = val
+
+    # sequentialminus
+    # ---------------
+    @property
+    def sequentialminus(self):
+        """
+        Sets the default sequential colorscale for negative values.
+        Note that `autocolorscale` must be true for this attribute to
+        work.
+    
+        The 'sequentialminus' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["sequentialminus"]
+
+    @sequentialminus.setter
+    def sequentialminus(self, val):
+        self["sequentialminus"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        diverging
+            Sets the default diverging colorscale. Note that
+            `autocolorscale` must be true for this attribute to
+            work.
+        sequential
+            Sets the default sequential colorscale for positive
+            values. Note that `autocolorscale` must be true for
+            this attribute to work.
+        sequentialminus
+            Sets the default sequential colorscale for negative
+            values. Note that `autocolorscale` must be true for
+            this attribute to work.
+        """
+
+    def __init__(
+        self, arg=None, diverging=None, sequential=None, sequentialminus=None, **kwargs
+    ):
+        """
+        Construct a new Colorscale object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Colorscale`
+        diverging
+            Sets the default diverging colorscale. Note that
+            `autocolorscale` must be true for this attribute to
+            work.
+        sequential
+            Sets the default sequential colorscale for positive
+            values. Note that `autocolorscale` must be true for
+            this attribute to work.
+        sequentialminus
+            Sets the default sequential colorscale for negative
+            values. Note that `autocolorscale` must be true for
+            this attribute to work.
+
+        Returns
+        -------
+        Colorscale
+        """
+        super(Colorscale, self).__init__("colorscale")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Colorscale 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Colorscale`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("diverging", None)
+        _v = diverging if diverging is not None else _v
+        if _v is not None:
+            self["diverging"] = _v
+        _v = arg.pop("sequential", None)
+        _v = sequential if sequential is not None else _v
+        if _v is not None:
+            self["sequential"] = _v
+        _v = arg.pop("sequentialminus", None)
+        _v = sequentialminus if sequentialminus is not None else _v
+        if _v is not None:
+            self["sequentialminus"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_font.py b/packages/python/plotly/plotly/graph_objs/layout/_font.py
new file mode 100644
index 00000000000..d40eb5f9a7f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the global font. Note that fonts used in traces and other
+        layout components inherit from the global font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_geo.py b/packages/python/plotly/plotly/graph_objs/layout/_geo.py
new file mode 100644
index 00000000000..feacbea24eb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_geo.py
@@ -0,0 +1,1557 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Geo(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.geo"
+    _valid_props = {
+        "bgcolor",
+        "center",
+        "coastlinecolor",
+        "coastlinewidth",
+        "countrycolor",
+        "countrywidth",
+        "domain",
+        "fitbounds",
+        "framecolor",
+        "framewidth",
+        "lakecolor",
+        "landcolor",
+        "lataxis",
+        "lonaxis",
+        "oceancolor",
+        "projection",
+        "resolution",
+        "rivercolor",
+        "riverwidth",
+        "scope",
+        "showcoastlines",
+        "showcountries",
+        "showframe",
+        "showlakes",
+        "showland",
+        "showocean",
+        "showrivers",
+        "showsubunits",
+        "subunitcolor",
+        "subunitwidth",
+        "uirevision",
+        "visible",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Set the background color of the map
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # center
+    # ------
+    @property
+    def center(self):
+        """
+        The 'center' property is an instance of Center
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.geo.Center`
+          - A dict of string/value properties that will be passed
+            to the Center constructor
+    
+            Supported dict properties:
+                
+                lat
+                    Sets the latitude of the map's center. For all
+                    projection types, the map's latitude center
+                    lies at the middle of the latitude range by
+                    default.
+                lon
+                    Sets the longitude of the map's center. By
+                    default, the map's longitude center lies at the
+                    middle of the longitude range for scoped
+                    projection and above `projection.rotation.lon`
+                    otherwise.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.geo.Center
+        """
+        return self["center"]
+
+    @center.setter
+    def center(self, val):
+        self["center"] = val
+
+    # coastlinecolor
+    # --------------
+    @property
+    def coastlinecolor(self):
+        """
+        Sets the coastline color.
+    
+        The 'coastlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["coastlinecolor"]
+
+    @coastlinecolor.setter
+    def coastlinecolor(self, val):
+        self["coastlinecolor"] = val
+
+    # coastlinewidth
+    # --------------
+    @property
+    def coastlinewidth(self):
+        """
+        Sets the coastline stroke width (in px).
+    
+        The 'coastlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["coastlinewidth"]
+
+    @coastlinewidth.setter
+    def coastlinewidth(self, val):
+        self["coastlinewidth"] = val
+
+    # countrycolor
+    # ------------
+    @property
+    def countrycolor(self):
+        """
+        Sets line color of the country boundaries.
+    
+        The 'countrycolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["countrycolor"]
+
+    @countrycolor.setter
+    def countrycolor(self, val):
+        self["countrycolor"] = val
+
+    # countrywidth
+    # ------------
+    @property
+    def countrywidth(self):
+        """
+        Sets line width (in px) of the country boundaries.
+    
+        The 'countrywidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["countrywidth"]
+
+    @countrywidth.setter
+    def countrywidth(self, val):
+        self["countrywidth"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.geo.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this geo subplot .
+                    Note that geo subplots are constrained by
+                    domain. In general, when `projection.scale` is
+                    set to 1. a map will fit either its x or y
+                    domain, but not both.
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this geo subplot .
+                    Note that geo subplots are constrained by
+                    domain. In general, when `projection.scale` is
+                    set to 1. a map will fit either its x or y
+                    domain, but not both.
+                x
+                    Sets the horizontal domain of this geo subplot
+                    (in plot fraction). Note that geo subplots are
+                    constrained by domain. In general, when
+                    `projection.scale` is set to 1. a map will fit
+                    either its x or y domain, but not both.
+                y
+                    Sets the vertical domain of this geo subplot
+                    (in plot fraction). Note that geo subplots are
+                    constrained by domain. In general, when
+                    `projection.scale` is set to 1. a map will fit
+                    either its x or y domain, but not both.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.geo.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # fitbounds
+    # ---------
+    @property
+    def fitbounds(self):
+        """
+        Determines if this subplot's view settings are auto-computed to
+        fit trace data. On scoped maps, setting `fitbounds` leads to
+        `center.lon` and `center.lat` getting auto-filled. On maps with
+        a non-clipped projection, setting `fitbounds` leads to
+        `center.lon`, `center.lat`, and `projection.rotation.lon`
+        getting auto-filled. On maps with a clipped projection, setting
+        `fitbounds` leads to `center.lon`, `center.lat`,
+        `projection.rotation.lon`, `projection.rotation.lat`,
+        `lonaxis.range` and `lonaxis.range` getting auto-filled. If
+        "locations", only the trace's visible locations are considered
+        in the `fitbounds` computations. If "geojson", the entire trace
+        input `geojson` (if provided) is considered in the `fitbounds`
+        computations, Defaults to False.
+    
+        The 'fitbounds' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [False, 'locations', 'geojson']
+
+        Returns
+        -------
+        Any
+        """
+        return self["fitbounds"]
+
+    @fitbounds.setter
+    def fitbounds(self, val):
+        self["fitbounds"] = val
+
+    # framecolor
+    # ----------
+    @property
+    def framecolor(self):
+        """
+        Sets the color the frame.
+    
+        The 'framecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["framecolor"]
+
+    @framecolor.setter
+    def framecolor(self, val):
+        self["framecolor"] = val
+
+    # framewidth
+    # ----------
+    @property
+    def framewidth(self):
+        """
+        Sets the stroke width (in px) of the frame.
+    
+        The 'framewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["framewidth"]
+
+    @framewidth.setter
+    def framewidth(self, val):
+        self["framewidth"] = val
+
+    # lakecolor
+    # ---------
+    @property
+    def lakecolor(self):
+        """
+        Sets the color of the lakes.
+    
+        The 'lakecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["lakecolor"]
+
+    @lakecolor.setter
+    def lakecolor(self, val):
+        self["lakecolor"] = val
+
+    # landcolor
+    # ---------
+    @property
+    def landcolor(self):
+        """
+        Sets the land mass color.
+    
+        The 'landcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["landcolor"]
+
+    @landcolor.setter
+    def landcolor(self, val):
+        self["landcolor"] = val
+
+    # lataxis
+    # -------
+    @property
+    def lataxis(self):
+        """
+        The 'lataxis' property is an instance of Lataxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.geo.Lataxis`
+          - A dict of string/value properties that will be passed
+            to the Lataxis constructor
+    
+            Supported dict properties:
+                
+                dtick
+                    Sets the graticule's longitude/latitude tick
+                    step.
+                gridcolor
+                    Sets the graticule's stroke color.
+                gridwidth
+                    Sets the graticule's stroke width (in px).
+                range
+                    Sets the range of this axis (in degrees), sets
+                    the map's clipped coordinates.
+                showgrid
+                    Sets whether or not graticule are shown on the
+                    map.
+                tick0
+                    Sets the graticule's starting tick
+                    longitude/latitude.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.geo.Lataxis
+        """
+        return self["lataxis"]
+
+    @lataxis.setter
+    def lataxis(self, val):
+        self["lataxis"] = val
+
+    # lonaxis
+    # -------
+    @property
+    def lonaxis(self):
+        """
+        The 'lonaxis' property is an instance of Lonaxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.geo.Lonaxis`
+          - A dict of string/value properties that will be passed
+            to the Lonaxis constructor
+    
+            Supported dict properties:
+                
+                dtick
+                    Sets the graticule's longitude/latitude tick
+                    step.
+                gridcolor
+                    Sets the graticule's stroke color.
+                gridwidth
+                    Sets the graticule's stroke width (in px).
+                range
+                    Sets the range of this axis (in degrees), sets
+                    the map's clipped coordinates.
+                showgrid
+                    Sets whether or not graticule are shown on the
+                    map.
+                tick0
+                    Sets the graticule's starting tick
+                    longitude/latitude.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.geo.Lonaxis
+        """
+        return self["lonaxis"]
+
+    @lonaxis.setter
+    def lonaxis(self, val):
+        self["lonaxis"] = val
+
+    # oceancolor
+    # ----------
+    @property
+    def oceancolor(self):
+        """
+        Sets the ocean color
+    
+        The 'oceancolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["oceancolor"]
+
+    @oceancolor.setter
+    def oceancolor(self, val):
+        self["oceancolor"] = val
+
+    # projection
+    # ----------
+    @property
+    def projection(self):
+        """
+        The 'projection' property is an instance of Projection
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.geo.Projection`
+          - A dict of string/value properties that will be passed
+            to the Projection constructor
+    
+            Supported dict properties:
+                
+                parallels
+                    For conic projection types only. Sets the
+                    parallels (tangent, secant) where the cone
+                    intersects the sphere.
+                rotation
+                    :class:`plotly.graph_objects.layout.geo.project
+                    ion.Rotation` instance or dict with compatible
+                    properties
+                scale
+                    Zooms in or out on the map view. A scale of 1
+                    corresponds to the largest zoom level that fits
+                    the map's lon and lat ranges.
+                type
+                    Sets the projection type.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.geo.Projection
+        """
+        return self["projection"]
+
+    @projection.setter
+    def projection(self, val):
+        self["projection"] = val
+
+    # resolution
+    # ----------
+    @property
+    def resolution(self):
+        """
+        Sets the resolution of the base layers. The values have units
+        of km/mm e.g. 110 corresponds to a scale ratio of
+        1:110,000,000.
+    
+        The 'resolution' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [110, 50]
+
+        Returns
+        -------
+        Any
+        """
+        return self["resolution"]
+
+    @resolution.setter
+    def resolution(self, val):
+        self["resolution"] = val
+
+    # rivercolor
+    # ----------
+    @property
+    def rivercolor(self):
+        """
+        Sets color of the rivers.
+    
+        The 'rivercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["rivercolor"]
+
+    @rivercolor.setter
+    def rivercolor(self, val):
+        self["rivercolor"] = val
+
+    # riverwidth
+    # ----------
+    @property
+    def riverwidth(self):
+        """
+        Sets the stroke width (in px) of the rivers.
+    
+        The 'riverwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["riverwidth"]
+
+    @riverwidth.setter
+    def riverwidth(self, val):
+        self["riverwidth"] = val
+
+    # scope
+    # -----
+    @property
+    def scope(self):
+        """
+        Set the scope of the map.
+    
+        The 'scope' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['world', 'usa', 'europe', 'asia', 'africa', 'north
+                america', 'south america']
+
+        Returns
+        -------
+        Any
+        """
+        return self["scope"]
+
+    @scope.setter
+    def scope(self, val):
+        self["scope"] = val
+
+    # showcoastlines
+    # --------------
+    @property
+    def showcoastlines(self):
+        """
+        Sets whether or not the coastlines are drawn.
+    
+        The 'showcoastlines' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showcoastlines"]
+
+    @showcoastlines.setter
+    def showcoastlines(self, val):
+        self["showcoastlines"] = val
+
+    # showcountries
+    # -------------
+    @property
+    def showcountries(self):
+        """
+        Sets whether or not country boundaries are drawn.
+    
+        The 'showcountries' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showcountries"]
+
+    @showcountries.setter
+    def showcountries(self, val):
+        self["showcountries"] = val
+
+    # showframe
+    # ---------
+    @property
+    def showframe(self):
+        """
+        Sets whether or not a frame is drawn around the map.
+    
+        The 'showframe' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showframe"]
+
+    @showframe.setter
+    def showframe(self, val):
+        self["showframe"] = val
+
+    # showlakes
+    # ---------
+    @property
+    def showlakes(self):
+        """
+        Sets whether or not lakes are drawn.
+    
+        The 'showlakes' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showlakes"]
+
+    @showlakes.setter
+    def showlakes(self, val):
+        self["showlakes"] = val
+
+    # showland
+    # --------
+    @property
+    def showland(self):
+        """
+        Sets whether or not land masses are filled in color.
+    
+        The 'showland' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showland"]
+
+    @showland.setter
+    def showland(self, val):
+        self["showland"] = val
+
+    # showocean
+    # ---------
+    @property
+    def showocean(self):
+        """
+        Sets whether or not oceans are filled in color.
+    
+        The 'showocean' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showocean"]
+
+    @showocean.setter
+    def showocean(self, val):
+        self["showocean"] = val
+
+    # showrivers
+    # ----------
+    @property
+    def showrivers(self):
+        """
+        Sets whether or not rivers are drawn.
+    
+        The 'showrivers' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showrivers"]
+
+    @showrivers.setter
+    def showrivers(self, val):
+        self["showrivers"] = val
+
+    # showsubunits
+    # ------------
+    @property
+    def showsubunits(self):
+        """
+        Sets whether or not boundaries of subunits within countries
+        (e.g. states, provinces) are drawn.
+    
+        The 'showsubunits' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showsubunits"]
+
+    @showsubunits.setter
+    def showsubunits(self, val):
+        self["showsubunits"] = val
+
+    # subunitcolor
+    # ------------
+    @property
+    def subunitcolor(self):
+        """
+        Sets the color of the subunits boundaries.
+    
+        The 'subunitcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["subunitcolor"]
+
+    @subunitcolor.setter
+    def subunitcolor(self, val):
+        self["subunitcolor"] = val
+
+    # subunitwidth
+    # ------------
+    @property
+    def subunitwidth(self):
+        """
+        Sets the stroke width (in px) of the subunits boundaries.
+    
+        The 'subunitwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["subunitwidth"]
+
+    @subunitwidth.setter
+    def subunitwidth(self, val):
+        self["subunitwidth"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in the view
+        (projection and center). Defaults to `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Sets the default visibility of the base layers.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Set the background color of the map
+        center
+            :class:`plotly.graph_objects.layout.geo.Center`
+            instance or dict with compatible properties
+        coastlinecolor
+            Sets the coastline color.
+        coastlinewidth
+            Sets the coastline stroke width (in px).
+        countrycolor
+            Sets line color of the country boundaries.
+        countrywidth
+            Sets line width (in px) of the country boundaries.
+        domain
+            :class:`plotly.graph_objects.layout.geo.Domain`
+            instance or dict with compatible properties
+        fitbounds
+            Determines if this subplot's view settings are auto-
+            computed to fit trace data. On scoped maps, setting
+            `fitbounds` leads to `center.lon` and `center.lat`
+            getting auto-filled. On maps with a non-clipped
+            projection, setting `fitbounds` leads to `center.lon`,
+            `center.lat`, and `projection.rotation.lon` getting
+            auto-filled. On maps with a clipped projection, setting
+            `fitbounds` leads to `center.lon`, `center.lat`,
+            `projection.rotation.lon`, `projection.rotation.lat`,
+            `lonaxis.range` and `lonaxis.range` getting auto-
+            filled. If "locations", only the trace's visible
+            locations are considered in the `fitbounds`
+            computations. If "geojson", the entire trace input
+            `geojson` (if provided) is considered in the
+            `fitbounds` computations, Defaults to False.
+        framecolor
+            Sets the color the frame.
+        framewidth
+            Sets the stroke width (in px) of the frame.
+        lakecolor
+            Sets the color of the lakes.
+        landcolor
+            Sets the land mass color.
+        lataxis
+            :class:`plotly.graph_objects.layout.geo.Lataxis`
+            instance or dict with compatible properties
+        lonaxis
+            :class:`plotly.graph_objects.layout.geo.Lonaxis`
+            instance or dict with compatible properties
+        oceancolor
+            Sets the ocean color
+        projection
+            :class:`plotly.graph_objects.layout.geo.Projection`
+            instance or dict with compatible properties
+        resolution
+            Sets the resolution of the base layers. The values have
+            units of km/mm e.g. 110 corresponds to a scale ratio of
+            1:110,000,000.
+        rivercolor
+            Sets color of the rivers.
+        riverwidth
+            Sets the stroke width (in px) of the rivers.
+        scope
+            Set the scope of the map.
+        showcoastlines
+            Sets whether or not the coastlines are drawn.
+        showcountries
+            Sets whether or not country boundaries are drawn.
+        showframe
+            Sets whether or not a frame is drawn around the map.
+        showlakes
+            Sets whether or not lakes are drawn.
+        showland
+            Sets whether or not land masses are filled in color.
+        showocean
+            Sets whether or not oceans are filled in color.
+        showrivers
+            Sets whether or not rivers are drawn.
+        showsubunits
+            Sets whether or not boundaries of subunits within
+            countries (e.g. states, provinces) are drawn.
+        subunitcolor
+            Sets the color of the subunits boundaries.
+        subunitwidth
+            Sets the stroke width (in px) of the subunits
+            boundaries.
+        uirevision
+            Controls persistence of user-driven changes in the view
+            (projection and center). Defaults to
+            `layout.uirevision`.
+        visible
+            Sets the default visibility of the base layers.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        center=None,
+        coastlinecolor=None,
+        coastlinewidth=None,
+        countrycolor=None,
+        countrywidth=None,
+        domain=None,
+        fitbounds=None,
+        framecolor=None,
+        framewidth=None,
+        lakecolor=None,
+        landcolor=None,
+        lataxis=None,
+        lonaxis=None,
+        oceancolor=None,
+        projection=None,
+        resolution=None,
+        rivercolor=None,
+        riverwidth=None,
+        scope=None,
+        showcoastlines=None,
+        showcountries=None,
+        showframe=None,
+        showlakes=None,
+        showland=None,
+        showocean=None,
+        showrivers=None,
+        showsubunits=None,
+        subunitcolor=None,
+        subunitwidth=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Geo object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Geo`
+        bgcolor
+            Set the background color of the map
+        center
+            :class:`plotly.graph_objects.layout.geo.Center`
+            instance or dict with compatible properties
+        coastlinecolor
+            Sets the coastline color.
+        coastlinewidth
+            Sets the coastline stroke width (in px).
+        countrycolor
+            Sets line color of the country boundaries.
+        countrywidth
+            Sets line width (in px) of the country boundaries.
+        domain
+            :class:`plotly.graph_objects.layout.geo.Domain`
+            instance or dict with compatible properties
+        fitbounds
+            Determines if this subplot's view settings are auto-
+            computed to fit trace data. On scoped maps, setting
+            `fitbounds` leads to `center.lon` and `center.lat`
+            getting auto-filled. On maps with a non-clipped
+            projection, setting `fitbounds` leads to `center.lon`,
+            `center.lat`, and `projection.rotation.lon` getting
+            auto-filled. On maps with a clipped projection, setting
+            `fitbounds` leads to `center.lon`, `center.lat`,
+            `projection.rotation.lon`, `projection.rotation.lat`,
+            `lonaxis.range` and `lonaxis.range` getting auto-
+            filled. If "locations", only the trace's visible
+            locations are considered in the `fitbounds`
+            computations. If "geojson", the entire trace input
+            `geojson` (if provided) is considered in the
+            `fitbounds` computations, Defaults to False.
+        framecolor
+            Sets the color the frame.
+        framewidth
+            Sets the stroke width (in px) of the frame.
+        lakecolor
+            Sets the color of the lakes.
+        landcolor
+            Sets the land mass color.
+        lataxis
+            :class:`plotly.graph_objects.layout.geo.Lataxis`
+            instance or dict with compatible properties
+        lonaxis
+            :class:`plotly.graph_objects.layout.geo.Lonaxis`
+            instance or dict with compatible properties
+        oceancolor
+            Sets the ocean color
+        projection
+            :class:`plotly.graph_objects.layout.geo.Projection`
+            instance or dict with compatible properties
+        resolution
+            Sets the resolution of the base layers. The values have
+            units of km/mm e.g. 110 corresponds to a scale ratio of
+            1:110,000,000.
+        rivercolor
+            Sets color of the rivers.
+        riverwidth
+            Sets the stroke width (in px) of the rivers.
+        scope
+            Set the scope of the map.
+        showcoastlines
+            Sets whether or not the coastlines are drawn.
+        showcountries
+            Sets whether or not country boundaries are drawn.
+        showframe
+            Sets whether or not a frame is drawn around the map.
+        showlakes
+            Sets whether or not lakes are drawn.
+        showland
+            Sets whether or not land masses are filled in color.
+        showocean
+            Sets whether or not oceans are filled in color.
+        showrivers
+            Sets whether or not rivers are drawn.
+        showsubunits
+            Sets whether or not boundaries of subunits within
+            countries (e.g. states, provinces) are drawn.
+        subunitcolor
+            Sets the color of the subunits boundaries.
+        subunitwidth
+            Sets the stroke width (in px) of the subunits
+            boundaries.
+        uirevision
+            Controls persistence of user-driven changes in the view
+            (projection and center). Defaults to
+            `layout.uirevision`.
+        visible
+            Sets the default visibility of the base layers.
+
+        Returns
+        -------
+        Geo
+        """
+        super(Geo, self).__init__("geo")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Geo 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Geo`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("center", None)
+        _v = center if center is not None else _v
+        if _v is not None:
+            self["center"] = _v
+        _v = arg.pop("coastlinecolor", None)
+        _v = coastlinecolor if coastlinecolor is not None else _v
+        if _v is not None:
+            self["coastlinecolor"] = _v
+        _v = arg.pop("coastlinewidth", None)
+        _v = coastlinewidth if coastlinewidth is not None else _v
+        if _v is not None:
+            self["coastlinewidth"] = _v
+        _v = arg.pop("countrycolor", None)
+        _v = countrycolor if countrycolor is not None else _v
+        if _v is not None:
+            self["countrycolor"] = _v
+        _v = arg.pop("countrywidth", None)
+        _v = countrywidth if countrywidth is not None else _v
+        if _v is not None:
+            self["countrywidth"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("fitbounds", None)
+        _v = fitbounds if fitbounds is not None else _v
+        if _v is not None:
+            self["fitbounds"] = _v
+        _v = arg.pop("framecolor", None)
+        _v = framecolor if framecolor is not None else _v
+        if _v is not None:
+            self["framecolor"] = _v
+        _v = arg.pop("framewidth", None)
+        _v = framewidth if framewidth is not None else _v
+        if _v is not None:
+            self["framewidth"] = _v
+        _v = arg.pop("lakecolor", None)
+        _v = lakecolor if lakecolor is not None else _v
+        if _v is not None:
+            self["lakecolor"] = _v
+        _v = arg.pop("landcolor", None)
+        _v = landcolor if landcolor is not None else _v
+        if _v is not None:
+            self["landcolor"] = _v
+        _v = arg.pop("lataxis", None)
+        _v = lataxis if lataxis is not None else _v
+        if _v is not None:
+            self["lataxis"] = _v
+        _v = arg.pop("lonaxis", None)
+        _v = lonaxis if lonaxis is not None else _v
+        if _v is not None:
+            self["lonaxis"] = _v
+        _v = arg.pop("oceancolor", None)
+        _v = oceancolor if oceancolor is not None else _v
+        if _v is not None:
+            self["oceancolor"] = _v
+        _v = arg.pop("projection", None)
+        _v = projection if projection is not None else _v
+        if _v is not None:
+            self["projection"] = _v
+        _v = arg.pop("resolution", None)
+        _v = resolution if resolution is not None else _v
+        if _v is not None:
+            self["resolution"] = _v
+        _v = arg.pop("rivercolor", None)
+        _v = rivercolor if rivercolor is not None else _v
+        if _v is not None:
+            self["rivercolor"] = _v
+        _v = arg.pop("riverwidth", None)
+        _v = riverwidth if riverwidth is not None else _v
+        if _v is not None:
+            self["riverwidth"] = _v
+        _v = arg.pop("scope", None)
+        _v = scope if scope is not None else _v
+        if _v is not None:
+            self["scope"] = _v
+        _v = arg.pop("showcoastlines", None)
+        _v = showcoastlines if showcoastlines is not None else _v
+        if _v is not None:
+            self["showcoastlines"] = _v
+        _v = arg.pop("showcountries", None)
+        _v = showcountries if showcountries is not None else _v
+        if _v is not None:
+            self["showcountries"] = _v
+        _v = arg.pop("showframe", None)
+        _v = showframe if showframe is not None else _v
+        if _v is not None:
+            self["showframe"] = _v
+        _v = arg.pop("showlakes", None)
+        _v = showlakes if showlakes is not None else _v
+        if _v is not None:
+            self["showlakes"] = _v
+        _v = arg.pop("showland", None)
+        _v = showland if showland is not None else _v
+        if _v is not None:
+            self["showland"] = _v
+        _v = arg.pop("showocean", None)
+        _v = showocean if showocean is not None else _v
+        if _v is not None:
+            self["showocean"] = _v
+        _v = arg.pop("showrivers", None)
+        _v = showrivers if showrivers is not None else _v
+        if _v is not None:
+            self["showrivers"] = _v
+        _v = arg.pop("showsubunits", None)
+        _v = showsubunits if showsubunits is not None else _v
+        if _v is not None:
+            self["showsubunits"] = _v
+        _v = arg.pop("subunitcolor", None)
+        _v = subunitcolor if subunitcolor is not None else _v
+        if _v is not None:
+            self["subunitcolor"] = _v
+        _v = arg.pop("subunitwidth", None)
+        _v = subunitwidth if subunitwidth is not None else _v
+        if _v is not None:
+            self["subunitwidth"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_grid.py b/packages/python/plotly/plotly/graph_objs/layout/_grid.py
new file mode 100644
index 00000000000..8a68e31e26b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_grid.py
@@ -0,0 +1,600 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Grid(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.grid"
+    _valid_props = {
+        "columns",
+        "domain",
+        "pattern",
+        "roworder",
+        "rows",
+        "subplots",
+        "xaxes",
+        "xgap",
+        "xside",
+        "yaxes",
+        "ygap",
+        "yside",
+    }
+
+    # columns
+    # -------
+    @property
+    def columns(self):
+        """
+        The number of columns in the grid. If you provide a 2D
+        `subplots` array, the length of its longest row is used as the
+        default. If you give an `xaxes` array, its length is used as
+        the default. But it's also possible to have a different length,
+        if you want to leave a row at the end for non-cartesian
+        subplots.
+    
+        The 'columns' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["columns"]
+
+    @columns.setter
+    def columns(self, val):
+        self["columns"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.grid.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                x
+                    Sets the horizontal domain of this grid subplot
+                    (in plot fraction). The first and last cells
+                    end exactly at the domain edges, with no grout
+                    around the edges.
+                y
+                    Sets the vertical domain of this grid subplot
+                    (in plot fraction). The first and last cells
+                    end exactly at the domain edges, with no grout
+                    around the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.grid.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # pattern
+    # -------
+    @property
+    def pattern(self):
+        """
+        If no `subplots`, `xaxes`, or `yaxes` are given but we do have
+        `rows` and `columns`, we can generate defaults using
+        consecutive axis IDs, in two ways: "coupled" gives one x axis
+        per column and one y axis per row. "independent" uses a new xy
+        pair for each cell, left-to-right across each row then
+        iterating rows according to `roworder`.
+    
+        The 'pattern' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['independent', 'coupled']
+
+        Returns
+        -------
+        Any
+        """
+        return self["pattern"]
+
+    @pattern.setter
+    def pattern(self, val):
+        self["pattern"] = val
+
+    # roworder
+    # --------
+    @property
+    def roworder(self):
+        """
+        Is the first row the top or the bottom? Note that columns are
+        always enumerated from left to right.
+    
+        The 'roworder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top to bottom', 'bottom to top']
+
+        Returns
+        -------
+        Any
+        """
+        return self["roworder"]
+
+    @roworder.setter
+    def roworder(self, val):
+        self["roworder"] = val
+
+    # rows
+    # ----
+    @property
+    def rows(self):
+        """
+        The number of rows in the grid. If you provide a 2D `subplots`
+        array or a `yaxes` array, its length is used as the default.
+        But it's also possible to have a different length, if you want
+        to leave a row at the end for non-cartesian subplots.
+    
+        The 'rows' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["rows"]
+
+    @rows.setter
+    def rows(self, val):
+        self["rows"] = val
+
+    # subplots
+    # --------
+    @property
+    def subplots(self):
+        """
+        Used for freeform grids, where some axes may be shared across
+        subplots but others are not. Each entry should be a cartesian
+        subplot id, like "xy" or "x3y2", or "" to leave that cell
+        empty. You may reuse x axes within the same column, and y axes
+        within the same row. Non-cartesian subplots and traces that
+        support `domain` can place themselves in this grid separately
+        using the `gridcell` attribute.
+    
+        The 'subplots' property is an info array that may be specified as:
+        * a 2D list where:
+          The 'subplots[i][j]' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        list
+        """
+        return self["subplots"]
+
+    @subplots.setter
+    def subplots(self, val):
+        self["subplots"] = val
+
+    # xaxes
+    # -----
+    @property
+    def xaxes(self):
+        """
+        Used with `yaxes` when the x and y axes are shared across
+        columns and rows. Each entry should be an x axis id like "x",
+        "x2", etc., or "" to not put an x axis in that column. Entries
+        other than "" must be unique. Ignored if `subplots` is present.
+        If missing but `yaxes` is present, will generate consecutive
+        IDs.
+    
+        The 'xaxes' property is an info array that may be specified as:
+        * a list of elements where:
+          The 'xaxes[i]' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        list
+        """
+        return self["xaxes"]
+
+    @xaxes.setter
+    def xaxes(self, val):
+        self["xaxes"] = val
+
+    # xgap
+    # ----
+    @property
+    def xgap(self):
+        """
+        Horizontal space between grid cells, expressed as a fraction of
+        the total width available to one cell. Defaults to 0.1 for
+        coupled-axes grids and 0.2 for independent grids.
+    
+        The 'xgap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xgap"]
+
+    @xgap.setter
+    def xgap(self, val):
+        self["xgap"] = val
+
+    # xside
+    # -----
+    @property
+    def xside(self):
+        """
+        Sets where the x axis labels and titles go. "bottom" means the
+        very bottom of the grid. "bottom plot" is the lowest plot that
+        each x axis is used in. "top" and "top plot" are similar.
+    
+        The 'xside' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['bottom', 'bottom plot', 'top plot', 'top']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xside"]
+
+    @xside.setter
+    def xside(self, val):
+        self["xside"] = val
+
+    # yaxes
+    # -----
+    @property
+    def yaxes(self):
+        """
+        Used with `yaxes` when the x and y axes are shared across
+        columns and rows. Each entry should be an y axis id like "y",
+        "y2", etc., or "" to not put a y axis in that row. Entries
+        other than "" must be unique. Ignored if `subplots` is present.
+        If missing but `xaxes` is present, will generate consecutive
+        IDs.
+    
+        The 'yaxes' property is an info array that may be specified as:
+        * a list of elements where:
+          The 'yaxes[i]' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['']
+          - A string that matches one of the following regular expressions:
+                ['^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        list
+        """
+        return self["yaxes"]
+
+    @yaxes.setter
+    def yaxes(self, val):
+        self["yaxes"] = val
+
+    # ygap
+    # ----
+    @property
+    def ygap(self):
+        """
+        Vertical space between grid cells, expressed as a fraction of
+        the total height available to one cell. Defaults to 0.1 for
+        coupled-axes grids and 0.3 for independent grids.
+    
+        The 'ygap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ygap"]
+
+    @ygap.setter
+    def ygap(self, val):
+        self["ygap"] = val
+
+    # yside
+    # -----
+    @property
+    def yside(self):
+        """
+        Sets where the y axis labels and titles go. "left" means the
+        very left edge of the grid. *left plot* is the leftmost plot
+        that each y axis is used in. "right" and *right plot* are
+        similar.
+    
+        The 'yside' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'left plot', 'right plot', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yside"]
+
+    @yside.setter
+    def yside(self, val):
+        self["yside"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        columns
+            The number of columns in the grid. If you provide a 2D
+            `subplots` array, the length of its longest row is used
+            as the default. If you give an `xaxes` array, its
+            length is used as the default. But it's also possible
+            to have a different length, if you want to leave a row
+            at the end for non-cartesian subplots.
+        domain
+            :class:`plotly.graph_objects.layout.grid.Domain`
+            instance or dict with compatible properties
+        pattern
+            If no `subplots`, `xaxes`, or `yaxes` are given but we
+            do have `rows` and `columns`, we can generate defaults
+            using consecutive axis IDs, in two ways: "coupled"
+            gives one x axis per column and one y axis per row.
+            "independent" uses a new xy pair for each cell, left-
+            to-right across each row then iterating rows according
+            to `roworder`.
+        roworder
+            Is the first row the top or the bottom? Note that
+            columns are always enumerated from left to right.
+        rows
+            The number of rows in the grid. If you provide a 2D
+            `subplots` array or a `yaxes` array, its length is used
+            as the default. But it's also possible to have a
+            different length, if you want to leave a row at the end
+            for non-cartesian subplots.
+        subplots
+            Used for freeform grids, where some axes may be shared
+            across subplots but others are not. Each entry should
+            be a cartesian subplot id, like "xy" or "x3y2", or ""
+            to leave that cell empty. You may reuse x axes within
+            the same column, and y axes within the same row. Non-
+            cartesian subplots and traces that support `domain` can
+            place themselves in this grid separately using the
+            `gridcell` attribute.
+        xaxes
+            Used with `yaxes` when the x and y axes are shared
+            across columns and rows. Each entry should be an x axis
+            id like "x", "x2", etc., or "" to not put an x axis in
+            that column. Entries other than "" must be unique.
+            Ignored if `subplots` is present. If missing but
+            `yaxes` is present, will generate consecutive IDs.
+        xgap
+            Horizontal space between grid cells, expressed as a
+            fraction of the total width available to one cell.
+            Defaults to 0.1 for coupled-axes grids and 0.2 for
+            independent grids.
+        xside
+            Sets where the x axis labels and titles go. "bottom"
+            means the very bottom of the grid. "bottom plot" is the
+            lowest plot that each x axis is used in. "top" and "top
+            plot" are similar.
+        yaxes
+            Used with `yaxes` when the x and y axes are shared
+            across columns and rows. Each entry should be an y axis
+            id like "y", "y2", etc., or "" to not put a y axis in
+            that row. Entries other than "" must be unique. Ignored
+            if `subplots` is present. If missing but `xaxes` is
+            present, will generate consecutive IDs.
+        ygap
+            Vertical space between grid cells, expressed as a
+            fraction of the total height available to one cell.
+            Defaults to 0.1 for coupled-axes grids and 0.3 for
+            independent grids.
+        yside
+            Sets where the y axis labels and titles go. "left"
+            means the very left edge of the grid. *left plot* is
+            the leftmost plot that each y axis is used in. "right"
+            and *right plot* are similar.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        columns=None,
+        domain=None,
+        pattern=None,
+        roworder=None,
+        rows=None,
+        subplots=None,
+        xaxes=None,
+        xgap=None,
+        xside=None,
+        yaxes=None,
+        ygap=None,
+        yside=None,
+        **kwargs
+    ):
+        """
+        Construct a new Grid object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Grid`
+        columns
+            The number of columns in the grid. If you provide a 2D
+            `subplots` array, the length of its longest row is used
+            as the default. If you give an `xaxes` array, its
+            length is used as the default. But it's also possible
+            to have a different length, if you want to leave a row
+            at the end for non-cartesian subplots.
+        domain
+            :class:`plotly.graph_objects.layout.grid.Domain`
+            instance or dict with compatible properties
+        pattern
+            If no `subplots`, `xaxes`, or `yaxes` are given but we
+            do have `rows` and `columns`, we can generate defaults
+            using consecutive axis IDs, in two ways: "coupled"
+            gives one x axis per column and one y axis per row.
+            "independent" uses a new xy pair for each cell, left-
+            to-right across each row then iterating rows according
+            to `roworder`.
+        roworder
+            Is the first row the top or the bottom? Note that
+            columns are always enumerated from left to right.
+        rows
+            The number of rows in the grid. If you provide a 2D
+            `subplots` array or a `yaxes` array, its length is used
+            as the default. But it's also possible to have a
+            different length, if you want to leave a row at the end
+            for non-cartesian subplots.
+        subplots
+            Used for freeform grids, where some axes may be shared
+            across subplots but others are not. Each entry should
+            be a cartesian subplot id, like "xy" or "x3y2", or ""
+            to leave that cell empty. You may reuse x axes within
+            the same column, and y axes within the same row. Non-
+            cartesian subplots and traces that support `domain` can
+            place themselves in this grid separately using the
+            `gridcell` attribute.
+        xaxes
+            Used with `yaxes` when the x and y axes are shared
+            across columns and rows. Each entry should be an x axis
+            id like "x", "x2", etc., or "" to not put an x axis in
+            that column. Entries other than "" must be unique.
+            Ignored if `subplots` is present. If missing but
+            `yaxes` is present, will generate consecutive IDs.
+        xgap
+            Horizontal space between grid cells, expressed as a
+            fraction of the total width available to one cell.
+            Defaults to 0.1 for coupled-axes grids and 0.2 for
+            independent grids.
+        xside
+            Sets where the x axis labels and titles go. "bottom"
+            means the very bottom of the grid. "bottom plot" is the
+            lowest plot that each x axis is used in. "top" and "top
+            plot" are similar.
+        yaxes
+            Used with `yaxes` when the x and y axes are shared
+            across columns and rows. Each entry should be an y axis
+            id like "y", "y2", etc., or "" to not put a y axis in
+            that row. Entries other than "" must be unique. Ignored
+            if `subplots` is present. If missing but `xaxes` is
+            present, will generate consecutive IDs.
+        ygap
+            Vertical space between grid cells, expressed as a
+            fraction of the total height available to one cell.
+            Defaults to 0.1 for coupled-axes grids and 0.3 for
+            independent grids.
+        yside
+            Sets where the y axis labels and titles go. "left"
+            means the very left edge of the grid. *left plot* is
+            the leftmost plot that each y axis is used in. "right"
+            and *right plot* are similar.
+
+        Returns
+        -------
+        Grid
+        """
+        super(Grid, self).__init__("grid")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Grid 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Grid`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("columns", None)
+        _v = columns if columns is not None else _v
+        if _v is not None:
+            self["columns"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("pattern", None)
+        _v = pattern if pattern is not None else _v
+        if _v is not None:
+            self["pattern"] = _v
+        _v = arg.pop("roworder", None)
+        _v = roworder if roworder is not None else _v
+        if _v is not None:
+            self["roworder"] = _v
+        _v = arg.pop("rows", None)
+        _v = rows if rows is not None else _v
+        if _v is not None:
+            self["rows"] = _v
+        _v = arg.pop("subplots", None)
+        _v = subplots if subplots is not None else _v
+        if _v is not None:
+            self["subplots"] = _v
+        _v = arg.pop("xaxes", None)
+        _v = xaxes if xaxes is not None else _v
+        if _v is not None:
+            self["xaxes"] = _v
+        _v = arg.pop("xgap", None)
+        _v = xgap if xgap is not None else _v
+        if _v is not None:
+            self["xgap"] = _v
+        _v = arg.pop("xside", None)
+        _v = xside if xside is not None else _v
+        if _v is not None:
+            self["xside"] = _v
+        _v = arg.pop("yaxes", None)
+        _v = yaxes if yaxes is not None else _v
+        if _v is not None:
+            self["yaxes"] = _v
+        _v = arg.pop("ygap", None)
+        _v = ygap if ygap is not None else _v
+        if _v is not None:
+            self["ygap"] = _v
+        _v = arg.pop("yside", None)
+        _v = yside if yside is not None else _v
+        if _v is not None:
+            self["yside"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/layout/_hoverlabel.py
new file mode 100644
index 00000000000..30a7094e3ca
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_hoverlabel.py
@@ -0,0 +1,351 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.hoverlabel"
+    _valid_props = {"align", "bgcolor", "bordercolor", "font", "namelength"}
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+
+        Returns
+        -------
+        Any
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of all hover labels on graph
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of all hover labels on graph.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the default hover label font used by all traces on the
+        graph.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        bgcolor
+            Sets the background color of all hover labels on graph
+        bordercolor
+            Sets the border color of all hover labels on graph.
+        font
+            Sets the default hover label font used by all traces on
+            the graph.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        bgcolor=None,
+        bordercolor=None,
+        font=None,
+        namelength=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        bgcolor
+            Sets the background color of all hover labels on graph
+        bordercolor
+            Sets the border color of all hover labels on graph.
+        font
+            Sets the default hover label font used by all traces on
+            the graph.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_image.py b/packages/python/plotly/plotly/graph_objs/layout/_image.py
new file mode 100644
index 00000000000..3c85374c2ac
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_image.py
@@ -0,0 +1,651 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Image(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.image"
+    _valid_props = {
+        "layer",
+        "name",
+        "opacity",
+        "sizex",
+        "sizey",
+        "sizing",
+        "source",
+        "templateitemname",
+        "visible",
+        "x",
+        "xanchor",
+        "xref",
+        "y",
+        "yanchor",
+        "yref",
+    }
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Specifies whether images are drawn below or above traces. When
+        `xref` and `yref` are both set to `paper`, image is drawn below
+        the entire plot area.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['below', 'above']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the image.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # sizex
+    # -----
+    @property
+    def sizex(self):
+        """
+        Sets the image container size horizontally. The image will be
+        sized based on the `position` value. When `xref` is set to
+        `paper`, units are sized relative to the plot width.
+    
+        The 'sizex' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizex"]
+
+    @sizex.setter
+    def sizex(self, val):
+        self["sizex"] = val
+
+    # sizey
+    # -----
+    @property
+    def sizey(self):
+        """
+        Sets the image container size vertically. The image will be
+        sized based on the `position` value. When `yref` is set to
+        `paper`, units are sized relative to the plot height.
+    
+        The 'sizey' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizey"]
+
+    @sizey.setter
+    def sizey(self, val):
+        self["sizey"] = val
+
+    # sizing
+    # ------
+    @property
+    def sizing(self):
+        """
+        Specifies which dimension of the image to constrain.
+    
+        The 'sizing' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fill', 'contain', 'stretch']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizing"]
+
+    @sizing.setter
+    def sizing(self, val):
+        self["sizing"] = val
+
+    # source
+    # ------
+    @property
+    def source(self):
+        """
+        Specifies the URL of the image to be used. The URL must be
+        accessible from the domain where the plot code is run, and can
+        be either relative or absolute.
+    
+        The 'source' property is an image URI that may be specified as:
+          - A remote image URI string
+            (e.g. 'http://www.somewhere.com/image.png')
+          - A data URI image string
+            (e.g. 'data:image/png;base64,iVBORw0KGgoAAAANSU')
+          - A PIL.Image.Image object which will be immediately converted
+            to a data URI image string
+            See http://pillow.readthedocs.io/en/latest/reference/Image.html
+
+        Returns
+        -------
+        str
+        """
+        return self["source"]
+
+    @source.setter
+    def source(self, val):
+        self["source"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this image is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the image's x position. When `xref` is set to `paper`,
+        units are sized relative to the plot height. See `xref` for
+        more info
+    
+        The 'x' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the anchor for the x position
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xref
+    # ----
+    @property
+    def xref(self):
+        """
+        Sets the images's x coordinate axis. If set to a x axis id
+        (e.g. "x" or "x2"), the `x` position refers to an x data
+        coordinate If set to "paper", the `x` position refers to the
+        distance from the left of plot in normalized coordinates where
+        0 (1) corresponds to the left (right).
+    
+        The 'xref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['paper']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xref"]
+
+    @xref.setter
+    def xref(self, val):
+        self["xref"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the image's y position. When `yref` is set to `paper`,
+        units are sized relative to the plot height. See `yref` for
+        more info
+    
+        The 'y' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the anchor for the y position.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # yref
+    # ----
+    @property
+    def yref(self):
+        """
+        Sets the images's y coordinate axis. If set to a y axis id
+        (e.g. "y" or "y2"), the `y` position refers to a y data
+        coordinate. If set to "paper", the `y` position refers to the
+        distance from the bottom of the plot in normalized coordinates
+        where 0 (1) corresponds to the bottom (top).
+    
+        The 'yref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['paper']
+          - A string that matches one of the following regular expressions:
+                ['^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yref"]
+
+    @yref.setter
+    def yref(self, val):
+        self["yref"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        layer
+            Specifies whether images are drawn below or above
+            traces. When `xref` and `yref` are both set to `paper`,
+            image is drawn below the entire plot area.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the image.
+        sizex
+            Sets the image container size horizontally. The image
+            will be sized based on the `position` value. When
+            `xref` is set to `paper`, units are sized relative to
+            the plot width.
+        sizey
+            Sets the image container size vertically. The image
+            will be sized based on the `position` value. When
+            `yref` is set to `paper`, units are sized relative to
+            the plot height.
+        sizing
+            Specifies which dimension of the image to constrain.
+        source
+            Specifies the URL of the image to be used. The URL must
+            be accessible from the domain where the plot code is
+            run, and can be either relative or absolute.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        visible
+            Determines whether or not this image is visible.
+        x
+            Sets the image's x position. When `xref` is set to
+            `paper`, units are sized relative to the plot height.
+            See `xref` for more info
+        xanchor
+            Sets the anchor for the x position
+        xref
+            Sets the images's x coordinate axis. If set to a x axis
+            id (e.g. "x" or "x2"), the `x` position refers to an x
+            data coordinate If set to "paper", the `x` position
+            refers to the distance from the left of plot in
+            normalized coordinates where 0 (1) corresponds to the
+            left (right).
+        y
+            Sets the image's y position. When `yref` is set to
+            `paper`, units are sized relative to the plot height.
+            See `yref` for more info
+        yanchor
+            Sets the anchor for the y position.
+        yref
+            Sets the images's y coordinate axis. If set to a y axis
+            id (e.g. "y" or "y2"), the `y` position refers to a y
+            data coordinate. If set to "paper", the `y` position
+            refers to the distance from the bottom of the plot in
+            normalized coordinates where 0 (1) corresponds to the
+            bottom (top).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        layer=None,
+        name=None,
+        opacity=None,
+        sizex=None,
+        sizey=None,
+        sizing=None,
+        source=None,
+        templateitemname=None,
+        visible=None,
+        x=None,
+        xanchor=None,
+        xref=None,
+        y=None,
+        yanchor=None,
+        yref=None,
+        **kwargs
+    ):
+        """
+        Construct a new Image object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Image`
+        layer
+            Specifies whether images are drawn below or above
+            traces. When `xref` and `yref` are both set to `paper`,
+            image is drawn below the entire plot area.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the image.
+        sizex
+            Sets the image container size horizontally. The image
+            will be sized based on the `position` value. When
+            `xref` is set to `paper`, units are sized relative to
+            the plot width.
+        sizey
+            Sets the image container size vertically. The image
+            will be sized based on the `position` value. When
+            `yref` is set to `paper`, units are sized relative to
+            the plot height.
+        sizing
+            Specifies which dimension of the image to constrain.
+        source
+            Specifies the URL of the image to be used. The URL must
+            be accessible from the domain where the plot code is
+            run, and can be either relative or absolute.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        visible
+            Determines whether or not this image is visible.
+        x
+            Sets the image's x position. When `xref` is set to
+            `paper`, units are sized relative to the plot height.
+            See `xref` for more info
+        xanchor
+            Sets the anchor for the x position
+        xref
+            Sets the images's x coordinate axis. If set to a x axis
+            id (e.g. "x" or "x2"), the `x` position refers to an x
+            data coordinate If set to "paper", the `x` position
+            refers to the distance from the left of plot in
+            normalized coordinates where 0 (1) corresponds to the
+            left (right).
+        y
+            Sets the image's y position. When `yref` is set to
+            `paper`, units are sized relative to the plot height.
+            See `yref` for more info
+        yanchor
+            Sets the anchor for the y position.
+        yref
+            Sets the images's y coordinate axis. If set to a y axis
+            id (e.g. "y" or "y2"), the `y` position refers to a y
+            data coordinate. If set to "paper", the `y` position
+            refers to the distance from the bottom of the plot in
+            normalized coordinates where 0 (1) corresponds to the
+            bottom (top).
+
+        Returns
+        -------
+        Image
+        """
+        super(Image, self).__init__("images")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Image 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Image`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("sizex", None)
+        _v = sizex if sizex is not None else _v
+        if _v is not None:
+            self["sizex"] = _v
+        _v = arg.pop("sizey", None)
+        _v = sizey if sizey is not None else _v
+        if _v is not None:
+            self["sizey"] = _v
+        _v = arg.pop("sizing", None)
+        _v = sizing if sizing is not None else _v
+        if _v is not None:
+            self["sizing"] = _v
+        _v = arg.pop("source", None)
+        _v = source if source is not None else _v
+        if _v is not None:
+            self["source"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xref", None)
+        _v = xref if xref is not None else _v
+        if _v is not None:
+            self["xref"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("yref", None)
+        _v = yref if yref is not None else _v
+        if _v is not None:
+            self["yref"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_legend.py b/packages/python/plotly/plotly/graph_objs/layout/_legend.py
new file mode 100644
index 00000000000..31864ec633d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_legend.py
@@ -0,0 +1,830 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Legend(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.legend"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "font",
+        "itemclick",
+        "itemdoubleclick",
+        "itemsizing",
+        "orientation",
+        "title",
+        "tracegroupgap",
+        "traceorder",
+        "uirevision",
+        "valign",
+        "x",
+        "xanchor",
+        "y",
+        "yanchor",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the legend background color. Defaults to
+        `layout.paper_bgcolor`.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the legend.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the legend.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used to text the legend items.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.legend.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.legend.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # itemclick
+    # ---------
+    @property
+    def itemclick(self):
+        """
+        Determines the behavior on legend item click. "toggle" toggles
+        the visibility of the item clicked on the graph. "toggleothers"
+        makes the clicked item the sole visible item on the graph.
+        False disable legend item click interactions.
+    
+        The 'itemclick' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['toggle', 'toggleothers', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["itemclick"]
+
+    @itemclick.setter
+    def itemclick(self, val):
+        self["itemclick"] = val
+
+    # itemdoubleclick
+    # ---------------
+    @property
+    def itemdoubleclick(self):
+        """
+        Determines the behavior on legend item double-click. "toggle"
+        toggles the visibility of the item clicked on the graph.
+        "toggleothers" makes the clicked item the sole visible item on
+        the graph. False disable legend item double-click interactions.
+    
+        The 'itemdoubleclick' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['toggle', 'toggleothers', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["itemdoubleclick"]
+
+    @itemdoubleclick.setter
+    def itemdoubleclick(self, val):
+        self["itemdoubleclick"] = val
+
+    # itemsizing
+    # ----------
+    @property
+    def itemsizing(self):
+        """
+        Determines if the legend items symbols scale with their
+        corresponding "trace" attributes or remain "constant"
+        independent of the symbol size on the graph.
+    
+        The 'itemsizing' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'constant']
+
+        Returns
+        -------
+        Any
+        """
+        return self["itemsizing"]
+
+    @itemsizing.setter
+    def itemsizing(self, val):
+        self["itemsizing"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the legend.
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.legend.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this legend's title font.
+                side
+                    Determines the location of legend's title with
+                    respect to the legend items. Defaulted to "top"
+                    with `orientation` is "h". Defaulted to "left"
+                    with `orientation` is "v". The *top left*
+                    options could be used to expand legend area in
+                    both x and y sides.
+                text
+                    Sets the title of the legend.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.legend.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # tracegroupgap
+    # -------------
+    @property
+    def tracegroupgap(self):
+        """
+        Sets the amount of vertical space (in px) between legend
+        groups.
+    
+        The 'tracegroupgap' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tracegroupgap"]
+
+    @tracegroupgap.setter
+    def tracegroupgap(self, val):
+        self["tracegroupgap"] = val
+
+    # traceorder
+    # ----------
+    @property
+    def traceorder(self):
+        """
+        Determines the order at which the legend items are displayed.
+        If "normal", the items are displayed top-to-bottom in the same
+        order as the input data. If "reversed", the items are displayed
+        in the opposite order as "normal". If "grouped", the items are
+        displayed in groups (when a trace `legendgroup` is provided).
+        if "grouped+reversed", the items are displayed in the opposite
+        order as "grouped".
+    
+        The 'traceorder' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['reversed', 'grouped'] joined with '+' characters
+            (e.g. 'reversed+grouped')
+            OR exactly one of ['normal'] (e.g. 'normal')
+
+        Returns
+        -------
+        Any
+        """
+        return self["traceorder"]
+
+    @traceorder.setter
+    def traceorder(self, val):
+        self["traceorder"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of legend-driven changes in trace and pie
+        label visibility. Defaults to `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # valign
+    # ------
+    @property
+    def valign(self):
+        """
+        Sets the vertical alignment of the symbols with respect to
+        their associated text.
+    
+        The 'valign' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["valign"]
+
+    @valign.setter
+    def valign(self, val):
+        self["valign"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position (in normalized coordinates) of the legend.
+        Defaults to 1.02 for vertical legends and defaults to 0 for
+        horizontal legends.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the legend's horizontal position anchor. This anchor binds
+        the `x` position to the "left", "center" or "right" of the
+        legend. Value "auto" anchors legends to the right for `x`
+        values greater than or equal to 2/3, anchors legends to the
+        left for `x` values less than or equal to 1/3 and anchors
+        legends with respect to their center otherwise.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position (in normalized coordinates) of the legend.
+        Defaults to 1 for vertical legends, defaults to "-0.1" for
+        horizontal legends on graphs w/o range sliders and defaults to
+        1.1 for horizontal legends on graph with one or multiple range
+        sliders.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the legend's vertical position anchor This anchor binds
+        the `y` position to the "top", "middle" or "bottom" of the
+        legend. Value "auto" anchors legends at their bottom for `y`
+        values less than or equal to 1/3, anchors legends to at their
+        top for `y` values greater than or equal to 2/3 and anchors
+        legends with respect to their middle otherwise.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the legend background color. Defaults to
+            `layout.paper_bgcolor`.
+        bordercolor
+            Sets the color of the border enclosing the legend.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            legend.
+        font
+            Sets the font used to text the legend items.
+        itemclick
+            Determines the behavior on legend item click. "toggle"
+            toggles the visibility of the item clicked on the
+            graph. "toggleothers" makes the clicked item the sole
+            visible item on the graph. False disable legend item
+            click interactions.
+        itemdoubleclick
+            Determines the behavior on legend item double-click.
+            "toggle" toggles the visibility of the item clicked on
+            the graph. "toggleothers" makes the clicked item the
+            sole visible item on the graph. False disable legend
+            item double-click interactions.
+        itemsizing
+            Determines if the legend items symbols scale with their
+            corresponding "trace" attributes or remain "constant"
+            independent of the symbol size on the graph.
+        orientation
+            Sets the orientation of the legend.
+        title
+            :class:`plotly.graph_objects.layout.legend.Title`
+            instance or dict with compatible properties
+        tracegroupgap
+            Sets the amount of vertical space (in px) between
+            legend groups.
+        traceorder
+            Determines the order at which the legend items are
+            displayed. If "normal", the items are displayed top-to-
+            bottom in the same order as the input data. If
+            "reversed", the items are displayed in the opposite
+            order as "normal". If "grouped", the items are
+            displayed in groups (when a trace `legendgroup` is
+            provided). if "grouped+reversed", the items are
+            displayed in the opposite order as "grouped".
+        uirevision
+            Controls persistence of legend-driven changes in trace
+            and pie label visibility. Defaults to
+            `layout.uirevision`.
+        valign
+            Sets the vertical alignment of the symbols with respect
+            to their associated text.
+        x
+            Sets the x position (in normalized coordinates) of the
+            legend. Defaults to 1.02 for vertical legends and
+            defaults to 0 for horizontal legends.
+        xanchor
+            Sets the legend's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the legend. Value "auto" anchors legends
+            to the right for `x` values greater than or equal to
+            2/3, anchors legends to the left for `x` values less
+            than or equal to 1/3 and anchors legends with respect
+            to their center otherwise.
+        y
+            Sets the y position (in normalized coordinates) of the
+            legend. Defaults to 1 for vertical legends, defaults to
+            "-0.1" for horizontal legends on graphs w/o range
+            sliders and defaults to 1.1 for horizontal legends on
+            graph with one or multiple range sliders.
+        yanchor
+            Sets the legend's vertical position anchor This anchor
+            binds the `y` position to the "top", "middle" or
+            "bottom" of the legend. Value "auto" anchors legends at
+            their bottom for `y` values less than or equal to 1/3,
+            anchors legends to at their top for `y` values greater
+            than or equal to 2/3 and anchors legends with respect
+            to their middle otherwise.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        font=None,
+        itemclick=None,
+        itemdoubleclick=None,
+        itemsizing=None,
+        orientation=None,
+        title=None,
+        tracegroupgap=None,
+        traceorder=None,
+        uirevision=None,
+        valign=None,
+        x=None,
+        xanchor=None,
+        y=None,
+        yanchor=None,
+        **kwargs
+    ):
+        """
+        Construct a new Legend object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Legend`
+        bgcolor
+            Sets the legend background color. Defaults to
+            `layout.paper_bgcolor`.
+        bordercolor
+            Sets the color of the border enclosing the legend.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            legend.
+        font
+            Sets the font used to text the legend items.
+        itemclick
+            Determines the behavior on legend item click. "toggle"
+            toggles the visibility of the item clicked on the
+            graph. "toggleothers" makes the clicked item the sole
+            visible item on the graph. False disable legend item
+            click interactions.
+        itemdoubleclick
+            Determines the behavior on legend item double-click.
+            "toggle" toggles the visibility of the item clicked on
+            the graph. "toggleothers" makes the clicked item the
+            sole visible item on the graph. False disable legend
+            item double-click interactions.
+        itemsizing
+            Determines if the legend items symbols scale with their
+            corresponding "trace" attributes or remain "constant"
+            independent of the symbol size on the graph.
+        orientation
+            Sets the orientation of the legend.
+        title
+            :class:`plotly.graph_objects.layout.legend.Title`
+            instance or dict with compatible properties
+        tracegroupgap
+            Sets the amount of vertical space (in px) between
+            legend groups.
+        traceorder
+            Determines the order at which the legend items are
+            displayed. If "normal", the items are displayed top-to-
+            bottom in the same order as the input data. If
+            "reversed", the items are displayed in the opposite
+            order as "normal". If "grouped", the items are
+            displayed in groups (when a trace `legendgroup` is
+            provided). if "grouped+reversed", the items are
+            displayed in the opposite order as "grouped".
+        uirevision
+            Controls persistence of legend-driven changes in trace
+            and pie label visibility. Defaults to
+            `layout.uirevision`.
+        valign
+            Sets the vertical alignment of the symbols with respect
+            to their associated text.
+        x
+            Sets the x position (in normalized coordinates) of the
+            legend. Defaults to 1.02 for vertical legends and
+            defaults to 0 for horizontal legends.
+        xanchor
+            Sets the legend's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the legend. Value "auto" anchors legends
+            to the right for `x` values greater than or equal to
+            2/3, anchors legends to the left for `x` values less
+            than or equal to 1/3 and anchors legends with respect
+            to their center otherwise.
+        y
+            Sets the y position (in normalized coordinates) of the
+            legend. Defaults to 1 for vertical legends, defaults to
+            "-0.1" for horizontal legends on graphs w/o range
+            sliders and defaults to 1.1 for horizontal legends on
+            graph with one or multiple range sliders.
+        yanchor
+            Sets the legend's vertical position anchor This anchor
+            binds the `y` position to the "top", "middle" or
+            "bottom" of the legend. Value "auto" anchors legends at
+            their bottom for `y` values less than or equal to 1/3,
+            anchors legends to at their top for `y` values greater
+            than or equal to 2/3 and anchors legends with respect
+            to their middle otherwise.
+
+        Returns
+        -------
+        Legend
+        """
+        super(Legend, self).__init__("legend")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Legend 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Legend`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("itemclick", None)
+        _v = itemclick if itemclick is not None else _v
+        if _v is not None:
+            self["itemclick"] = _v
+        _v = arg.pop("itemdoubleclick", None)
+        _v = itemdoubleclick if itemdoubleclick is not None else _v
+        if _v is not None:
+            self["itemdoubleclick"] = _v
+        _v = arg.pop("itemsizing", None)
+        _v = itemsizing if itemsizing is not None else _v
+        if _v is not None:
+            self["itemsizing"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("tracegroupgap", None)
+        _v = tracegroupgap if tracegroupgap is not None else _v
+        if _v is not None:
+            self["tracegroupgap"] = _v
+        _v = arg.pop("traceorder", None)
+        _v = traceorder if traceorder is not None else _v
+        if _v is not None:
+            self["traceorder"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("valign", None)
+        _v = valign if valign is not None else _v
+        if _v is not None:
+            self["valign"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_mapbox.py b/packages/python/plotly/plotly/graph_objs/layout/_mapbox.py
new file mode 100644
index 00000000000..cce4217df95
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_mapbox.py
@@ -0,0 +1,631 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Mapbox(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.mapbox"
+    _valid_props = {
+        "accesstoken",
+        "bearing",
+        "center",
+        "domain",
+        "layerdefaults",
+        "layers",
+        "pitch",
+        "style",
+        "uirevision",
+        "zoom",
+    }
+
+    # accesstoken
+    # -----------
+    @property
+    def accesstoken(self):
+        """
+        Sets the mapbox access token to be used for this mapbox map.
+        Alternatively, the mapbox access token can be set in the
+        configuration options under `mapboxAccessToken`. Note that
+        accessToken are only required when `style` (e.g with values :
+        basic, streets, outdoors, light, dark, satellite, satellite-
+        streets ) and/or a layout layer references the Mapbox server.
+    
+        The 'accesstoken' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["accesstoken"]
+
+    @accesstoken.setter
+    def accesstoken(self, val):
+        self["accesstoken"] = val
+
+    # bearing
+    # -------
+    @property
+    def bearing(self):
+        """
+        Sets the bearing angle of the map in degrees counter-clockwise
+        from North (mapbox.bearing).
+    
+        The 'bearing' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["bearing"]
+
+    @bearing.setter
+    def bearing(self, val):
+        self["bearing"] = val
+
+    # center
+    # ------
+    @property
+    def center(self):
+        """
+        The 'center' property is an instance of Center
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.Center`
+          - A dict of string/value properties that will be passed
+            to the Center constructor
+    
+            Supported dict properties:
+                
+                lat
+                    Sets the latitude of the center of the map (in
+                    degrees North).
+                lon
+                    Sets the longitude of the center of the map (in
+                    degrees East).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.Center
+        """
+        return self["center"]
+
+    @center.setter
+    def center(self, val):
+        self["center"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this mapbox subplot
+                    .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this mapbox subplot .
+                x
+                    Sets the horizontal domain of this mapbox
+                    subplot (in plot fraction).
+                y
+                    Sets the vertical domain of this mapbox subplot
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # layers
+    # ------
+    @property
+    def layers(self):
+        """
+        The 'layers' property is a tuple of instances of
+        Layer that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.mapbox.Layer
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Layer constructor
+    
+            Supported dict properties:
+                
+                below
+                    Determines if the layer will be inserted before
+                    the layer with the specified ID. If omitted or
+                    set to '', the layer will be inserted above
+                    every existing layer.
+                circle
+                    :class:`plotly.graph_objects.layout.mapbox.laye
+                    r.Circle` instance or dict with compatible
+                    properties
+                color
+                    Sets the primary layer color. If `type` is
+                    "circle", color corresponds to the circle color
+                    (mapbox.layer.paint.circle-color) If `type` is
+                    "line", color corresponds to the line color
+                    (mapbox.layer.paint.line-color) If `type` is
+                    "fill", color corresponds to the fill color
+                    (mapbox.layer.paint.fill-color) If `type` is
+                    "symbol", color corresponds to the icon color
+                    (mapbox.layer.paint.icon-color)
+                coordinates
+                    Sets the coordinates array contains [longitude,
+                    latitude] pairs for the image corners listed in
+                    clockwise order: top left, top right, bottom
+                    right, bottom left. Only has an effect for
+                    "image" `sourcetype`.
+                fill
+                    :class:`plotly.graph_objects.layout.mapbox.laye
+                    r.Fill` instance or dict with compatible
+                    properties
+                line
+                    :class:`plotly.graph_objects.layout.mapbox.laye
+                    r.Line` instance or dict with compatible
+                    properties
+                maxzoom
+                    Sets the maximum zoom level
+                    (mapbox.layer.maxzoom). At zoom levels equal to
+                    or greater than the maxzoom, the layer will be
+                    hidden.
+                minzoom
+                    Sets the minimum zoom level
+                    (mapbox.layer.minzoom). At zoom levels less
+                    than the minzoom, the layer will be hidden.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                opacity
+                    Sets the opacity of the layer. If `type` is
+                    "circle", opacity corresponds to the circle
+                    opacity (mapbox.layer.paint.circle-opacity) If
+                    `type` is "line", opacity corresponds to the
+                    line opacity (mapbox.layer.paint.line-opacity)
+                    If `type` is "fill", opacity corresponds to the
+                    fill opacity (mapbox.layer.paint.fill-opacity)
+                    If `type` is "symbol", opacity corresponds to
+                    the icon/text opacity (mapbox.layer.paint.text-
+                    opacity)
+                source
+                    Sets the source data for this layer
+                    (mapbox.layer.source). When `sourcetype` is set
+                    to "geojson", `source` can be a URL to a
+                    GeoJSON or a GeoJSON object. When `sourcetype`
+                    is set to "vector" or "raster", `source` can be
+                    a URL or an array of tile URLs. When
+                    `sourcetype` is set to "image", `source` can be
+                    a URL to an image.
+                sourceattribution
+                    Sets the attribution for this source.
+                sourcelayer
+                    Specifies the layer to use from a vector tile
+                    source (mapbox.layer.source-layer). Required
+                    for "vector" source type that supports multiple
+                    layers.
+                sourcetype
+                    Sets the source type for this layer, that is
+                    the type of the layer data.
+                symbol
+                    :class:`plotly.graph_objects.layout.mapbox.laye
+                    r.Symbol` instance or dict with compatible
+                    properties
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                type
+                    Sets the layer type, that is the how the layer
+                    data set in `source` will be rendered With
+                    `sourcetype` set to "geojson", the following
+                    values are allowed: "circle", "line", "fill"
+                    and "symbol". but note that "line" and "fill"
+                    are not compatible with Point GeoJSON
+                    geometries. With `sourcetype` set to "vector",
+                    the following values are allowed:  "circle",
+                    "line", "fill" and "symbol". With `sourcetype`
+                    set to "raster" or `*image*`, only the "raster"
+                    value is allowed.
+                visible
+                    Determines whether this layer is displayed
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.mapbox.Layer]
+        """
+        return self["layers"]
+
+    @layers.setter
+    def layers(self, val):
+        self["layers"] = val
+
+    # layerdefaults
+    # -------------
+    @property
+    def layerdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.mapbox.layerdefaults), sets the default
+        property values to use for elements of layout.mapbox.layers
+    
+        The 'layerdefaults' property is an instance of Layer
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.Layer`
+          - A dict of string/value properties that will be passed
+            to the Layer constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.Layer
+        """
+        return self["layerdefaults"]
+
+    @layerdefaults.setter
+    def layerdefaults(self, val):
+        self["layerdefaults"] = val
+
+    # pitch
+    # -----
+    @property
+    def pitch(self):
+        """
+        Sets the pitch angle of the map (in degrees, where 0 means
+        perpendicular to the surface of the map) (mapbox.pitch).
+    
+        The 'pitch' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["pitch"]
+
+    @pitch.setter
+    def pitch(self, val):
+        self["pitch"] = val
+
+    # style
+    # -----
+    @property
+    def style(self):
+        """
+        Defines the map layers that are rendered by default below the
+        trace layers defined in `data`, which are themselves by default
+        rendered below the layers defined in `layout.mapbox.layers`.
+        These layers can be defined either explicitly as a Mapbox Style
+        object which can contain multiple layer definitions that load
+        data from any public or private Tile Map Service (TMS or XYZ)
+        or Web Map Service (WMS) or implicitly by using one of the
+        built-in style objects which use WMSes which do not require any
+        access tokens, or by using a default Mapbox style or custom
+        Mapbox style URL, both of which require a Mapbox access token
+        Note that Mapbox access token can be set in the `accesstoken`
+        attribute or in the `mapboxAccessToken` config option.  Mapbox
+        Style objects are of the form described in the Mapbox GL JS
+        documentation available at https://docs.mapbox.com/mapbox-gl-
+        js/style-spec  The built-in plotly.js styles objects are: open-
+        street-map, white-bg, carto-positron, carto-darkmatter, stamen-
+        terrain, stamen-toner, stamen-watercolor  The built-in Mapbox
+        styles are: basic, streets, outdoors, light, dark, satellite,
+        satellite-streets  Mapbox style URLs are of the form:
+        mapbox://mapbox.mapbox-<name>-<version>
+    
+        The 'style' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["style"]
+
+    @style.setter
+    def style(self, val):
+        self["style"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in the view:
+        `center`, `zoom`, `bearing`, `pitch`. Defaults to
+        `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # zoom
+    # ----
+    @property
+    def zoom(self):
+        """
+        Sets the zoom level of the map (mapbox.zoom).
+    
+        The 'zoom' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zoom"]
+
+    @zoom.setter
+    def zoom(self, val):
+        self["zoom"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        accesstoken
+            Sets the mapbox access token to be used for this mapbox
+            map. Alternatively, the mapbox access token can be set
+            in the configuration options under `mapboxAccessToken`.
+            Note that accessToken are only required when `style`
+            (e.g with values : basic, streets, outdoors, light,
+            dark, satellite, satellite-streets ) and/or a layout
+            layer references the Mapbox server.
+        bearing
+            Sets the bearing angle of the map in degrees counter-
+            clockwise from North (mapbox.bearing).
+        center
+            :class:`plotly.graph_objects.layout.mapbox.Center`
+            instance or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.layout.mapbox.Domain`
+            instance or dict with compatible properties
+        layers
+            A tuple of
+            :class:`plotly.graph_objects.layout.mapbox.Layer`
+            instances or dicts with compatible properties
+        layerdefaults
+            When used in a template (as
+            layout.template.layout.mapbox.layerdefaults), sets the
+            default property values to use for elements of
+            layout.mapbox.layers
+        pitch
+            Sets the pitch angle of the map (in degrees, where 0
+            means perpendicular to the surface of the map)
+            (mapbox.pitch).
+        style
+            Defines the map layers that are rendered by default
+            below the trace layers defined in `data`, which are
+            themselves by default rendered below the layers defined
+            in `layout.mapbox.layers`.  These layers can be defined
+            either explicitly as a Mapbox Style object which can
+            contain multiple layer definitions that load data from
+            any public or private Tile Map Service (TMS or XYZ) or
+            Web Map Service (WMS) or implicitly by using one of the
+            built-in style objects which use WMSes which do not
+            require any access tokens, or by using a default Mapbox
+            style or custom Mapbox style URL, both of which require
+            a Mapbox access token  Note that Mapbox access token
+            can be set in the `accesstoken` attribute or in the
+            `mapboxAccessToken` config option.  Mapbox Style
+            objects are of the form described in the Mapbox GL JS
+            documentation available at
+            https://docs.mapbox.com/mapbox-gl-js/style-spec  The
+            built-in plotly.js styles objects are: open-street-map,
+            white-bg, carto-positron, carto-darkmatter, stamen-
+            terrain, stamen-toner, stamen-watercolor  The built-in
+            Mapbox styles are: basic, streets, outdoors, light,
+            dark, satellite, satellite-streets  Mapbox style URLs
+            are of the form:
+            mapbox://mapbox.mapbox-<name>-<version>
+        uirevision
+            Controls persistence of user-driven changes in the
+            view: `center`, `zoom`, `bearing`, `pitch`. Defaults to
+            `layout.uirevision`.
+        zoom
+            Sets the zoom level of the map (mapbox.zoom).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        accesstoken=None,
+        bearing=None,
+        center=None,
+        domain=None,
+        layers=None,
+        layerdefaults=None,
+        pitch=None,
+        style=None,
+        uirevision=None,
+        zoom=None,
+        **kwargs
+    ):
+        """
+        Construct a new Mapbox object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Mapbox`
+        accesstoken
+            Sets the mapbox access token to be used for this mapbox
+            map. Alternatively, the mapbox access token can be set
+            in the configuration options under `mapboxAccessToken`.
+            Note that accessToken are only required when `style`
+            (e.g with values : basic, streets, outdoors, light,
+            dark, satellite, satellite-streets ) and/or a layout
+            layer references the Mapbox server.
+        bearing
+            Sets the bearing angle of the map in degrees counter-
+            clockwise from North (mapbox.bearing).
+        center
+            :class:`plotly.graph_objects.layout.mapbox.Center`
+            instance or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.layout.mapbox.Domain`
+            instance or dict with compatible properties
+        layers
+            A tuple of
+            :class:`plotly.graph_objects.layout.mapbox.Layer`
+            instances or dicts with compatible properties
+        layerdefaults
+            When used in a template (as
+            layout.template.layout.mapbox.layerdefaults), sets the
+            default property values to use for elements of
+            layout.mapbox.layers
+        pitch
+            Sets the pitch angle of the map (in degrees, where 0
+            means perpendicular to the surface of the map)
+            (mapbox.pitch).
+        style
+            Defines the map layers that are rendered by default
+            below the trace layers defined in `data`, which are
+            themselves by default rendered below the layers defined
+            in `layout.mapbox.layers`.  These layers can be defined
+            either explicitly as a Mapbox Style object which can
+            contain multiple layer definitions that load data from
+            any public or private Tile Map Service (TMS or XYZ) or
+            Web Map Service (WMS) or implicitly by using one of the
+            built-in style objects which use WMSes which do not
+            require any access tokens, or by using a default Mapbox
+            style or custom Mapbox style URL, both of which require
+            a Mapbox access token  Note that Mapbox access token
+            can be set in the `accesstoken` attribute or in the
+            `mapboxAccessToken` config option.  Mapbox Style
+            objects are of the form described in the Mapbox GL JS
+            documentation available at
+            https://docs.mapbox.com/mapbox-gl-js/style-spec  The
+            built-in plotly.js styles objects are: open-street-map,
+            white-bg, carto-positron, carto-darkmatter, stamen-
+            terrain, stamen-toner, stamen-watercolor  The built-in
+            Mapbox styles are: basic, streets, outdoors, light,
+            dark, satellite, satellite-streets  Mapbox style URLs
+            are of the form:
+            mapbox://mapbox.mapbox-<name>-<version>
+        uirevision
+            Controls persistence of user-driven changes in the
+            view: `center`, `zoom`, `bearing`, `pitch`. Defaults to
+            `layout.uirevision`.
+        zoom
+            Sets the zoom level of the map (mapbox.zoom).
+
+        Returns
+        -------
+        Mapbox
+        """
+        super(Mapbox, self).__init__("mapbox")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Mapbox 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Mapbox`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("accesstoken", None)
+        _v = accesstoken if accesstoken is not None else _v
+        if _v is not None:
+            self["accesstoken"] = _v
+        _v = arg.pop("bearing", None)
+        _v = bearing if bearing is not None else _v
+        if _v is not None:
+            self["bearing"] = _v
+        _v = arg.pop("center", None)
+        _v = center if center is not None else _v
+        if _v is not None:
+            self["center"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("layers", None)
+        _v = layers if layers is not None else _v
+        if _v is not None:
+            self["layers"] = _v
+        _v = arg.pop("layerdefaults", None)
+        _v = layerdefaults if layerdefaults is not None else _v
+        if _v is not None:
+            self["layerdefaults"] = _v
+        _v = arg.pop("pitch", None)
+        _v = pitch if pitch is not None else _v
+        if _v is not None:
+            self["pitch"] = _v
+        _v = arg.pop("style", None)
+        _v = style if style is not None else _v
+        if _v is not None:
+            self["style"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("zoom", None)
+        _v = zoom if zoom is not None else _v
+        if _v is not None:
+            self["zoom"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_margin.py b/packages/python/plotly/plotly/graph_objs/layout/_margin.py
new file mode 100644
index 00000000000..7746a6058fa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_margin.py
@@ -0,0 +1,258 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Margin(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.margin"
+    _valid_props = {"autoexpand", "b", "l", "pad", "r", "t"}
+
+    # autoexpand
+    # ----------
+    @property
+    def autoexpand(self):
+        """
+        Turns on/off margin expansion computations. Legends, colorbars,
+        updatemenus, sliders, axis rangeselector and rangeslider are
+        allowed to push the margins by defaults.
+    
+        The 'autoexpand' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autoexpand"]
+
+    @autoexpand.setter
+    def autoexpand(self, val):
+        self["autoexpand"] = val
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        Sets the bottom margin (in px).
+    
+        The 'b' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # l
+    # -
+    @property
+    def l(self):
+        """
+        Sets the left margin (in px).
+    
+        The 'l' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["l"]
+
+    @l.setter
+    def l(self, val):
+        self["l"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        Sets the amount of padding (in px) between the plotting area
+        and the axis lines
+    
+        The 'pad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        Sets the right margin (in px).
+    
+        The 'r' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        Sets the top margin (in px).
+    
+        The 't' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autoexpand
+            Turns on/off margin expansion computations. Legends,
+            colorbars, updatemenus, sliders, axis rangeselector and
+            rangeslider are allowed to push the margins by
+            defaults.
+        b
+            Sets the bottom margin (in px).
+        l
+            Sets the left margin (in px).
+        pad
+            Sets the amount of padding (in px) between the plotting
+            area and the axis lines
+        r
+            Sets the right margin (in px).
+        t
+            Sets the top margin (in px).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autoexpand=None,
+        b=None,
+        l=None,
+        pad=None,
+        r=None,
+        t=None,
+        **kwargs
+    ):
+        """
+        Construct a new Margin object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Margin`
+        autoexpand
+            Turns on/off margin expansion computations. Legends,
+            colorbars, updatemenus, sliders, axis rangeselector and
+            rangeslider are allowed to push the margins by
+            defaults.
+        b
+            Sets the bottom margin (in px).
+        l
+            Sets the left margin (in px).
+        pad
+            Sets the amount of padding (in px) between the plotting
+            area and the axis lines
+        r
+            Sets the right margin (in px).
+        t
+            Sets the top margin (in px).
+
+        Returns
+        -------
+        Margin
+        """
+        super(Margin, self).__init__("margin")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Margin 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Margin`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autoexpand", None)
+        _v = autoexpand if autoexpand is not None else _v
+        if _v is not None:
+            self["autoexpand"] = _v
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("l", None)
+        _v = l if l is not None else _v
+        if _v is not None:
+            self["l"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_modebar.py b/packages/python/plotly/plotly/graph_objs/layout/_modebar.py
new file mode 100644
index 00000000000..265e61b26df
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_modebar.py
@@ -0,0 +1,348 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Modebar(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.modebar"
+    _valid_props = {"activecolor", "bgcolor", "color", "orientation", "uirevision"}
+
+    # activecolor
+    # -----------
+    @property
+    def activecolor(self):
+        """
+        Sets the color of the active or hovered on icons in the
+        modebar.
+    
+        The 'activecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["activecolor"]
+
+    @activecolor.setter
+    def activecolor(self, val):
+        self["activecolor"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the modebar.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the icons in the modebar.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Sets the orientation of the modebar.
+    
+        The 'orientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['v', 'h']
+
+        Returns
+        -------
+        Any
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes related to the
+        modebar, including `hovermode`, `dragmode`, and `showspikes` at
+        both the root level and inside subplots. Defaults to
+        `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        activecolor
+            Sets the color of the active or hovered on icons in the
+            modebar.
+        bgcolor
+            Sets the background color of the modebar.
+        color
+            Sets the color of the icons in the modebar.
+        orientation
+            Sets the orientation of the modebar.
+        uirevision
+            Controls persistence of user-driven changes related to
+            the modebar, including `hovermode`, `dragmode`, and
+            `showspikes` at both the root level and inside
+            subplots. Defaults to `layout.uirevision`.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        activecolor=None,
+        bgcolor=None,
+        color=None,
+        orientation=None,
+        uirevision=None,
+        **kwargs
+    ):
+        """
+        Construct a new Modebar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Modebar`
+        activecolor
+            Sets the color of the active or hovered on icons in the
+            modebar.
+        bgcolor
+            Sets the background color of the modebar.
+        color
+            Sets the color of the icons in the modebar.
+        orientation
+            Sets the orientation of the modebar.
+        uirevision
+            Controls persistence of user-driven changes related to
+            the modebar, including `hovermode`, `dragmode`, and
+            `showspikes` at both the root level and inside
+            subplots. Defaults to `layout.uirevision`.
+
+        Returns
+        -------
+        Modebar
+        """
+        super(Modebar, self).__init__("modebar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Modebar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Modebar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("activecolor", None)
+        _v = activecolor if activecolor is not None else _v
+        if _v is not None:
+            self["activecolor"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_polar.py b/packages/python/plotly/plotly/graph_objs/layout/_polar.py
new file mode 100644
index 00000000000..eb1990f9257
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_polar.py
@@ -0,0 +1,1032 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Polar(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.polar"
+    _valid_props = {
+        "angularaxis",
+        "bargap",
+        "barmode",
+        "bgcolor",
+        "domain",
+        "gridshape",
+        "hole",
+        "radialaxis",
+        "sector",
+        "uirevision",
+    }
+
+    # angularaxis
+    # -----------
+    @property
+    def angularaxis(self):
+        """
+        The 'angularaxis' property is an instance of AngularAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.AngularAxis`
+          - A dict of string/value properties that will be passed
+            to the AngularAxis constructor
+    
+            Supported dict properties:
+                
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                direction
+                    Sets the direction corresponding to positive
+                    angles.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                period
+                    Set the angular period. Has an effect only when
+                    `angularaxis.type` is "category".
+                rotation
+                    Sets that start position (in degrees) of the
+                    angular axis By default, polar subplots with
+                    `direction` set to "counterclockwise" get a
+                    `rotation` of 0 which corresponds to due East
+                    (like what mathematicians prefer). In turn,
+                    polar with `direction` set to "clockwise" get a
+                    rotation of 90 which corresponds to due North
+                    (like on a compass),
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thetaunit
+                    Sets the format unit of the formatted "theta"
+                    values. Has an effect only when
+                    `angularaxis.type` is "linear".
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    polar.angularaxis.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.polar.angularaxis.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of
+                    layout.polar.angularaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                type
+                    Sets the angular axis type. If "linear", set
+                    `thetaunit` to determine the unit in which axis
+                    value are shown. If *category, use `period` to
+                    set the number of integer coordinates around
+                    polar axis.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `rotation`. Defaults to
+                    `polar<N>.uirevision`.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.AngularAxis
+        """
+        return self["angularaxis"]
+
+    @angularaxis.setter
+    def angularaxis(self, val):
+        self["angularaxis"] = val
+
+    # bargap
+    # ------
+    @property
+    def bargap(self):
+        """
+        Sets the gap between bars of adjacent location coordinates.
+        Values are unitless, they represent fractions of the minimum
+        difference in bar positions in the data.
+    
+        The 'bargap' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["bargap"]
+
+    @bargap.setter
+    def bargap(self, val):
+        self["bargap"] = val
+
+    # barmode
+    # -------
+    @property
+    def barmode(self):
+        """
+        Determines how bars at the same location coordinate are
+        displayed on the graph. With "stack", the bars are stacked on
+        top of one another With "overlay", the bars are plotted over
+        one another, you might need to an "opacity" to see multiple
+        bars.
+    
+        The 'barmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['stack', 'overlay']
+
+        Returns
+        -------
+        Any
+        """
+        return self["barmode"]
+
+    @barmode.setter
+    def barmode(self, val):
+        self["barmode"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Set the background color of the subplot
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this polar subplot
+                    .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this polar subplot .
+                x
+                    Sets the horizontal domain of this polar
+                    subplot (in plot fraction).
+                y
+                    Sets the vertical domain of this polar subplot
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # gridshape
+    # ---------
+    @property
+    def gridshape(self):
+        """
+        Determines if the radial axis grid lines and angular axis line
+        are drawn as "circular" sectors or as "linear" (polygon)
+        sectors. Has an effect only when the angular axis has `type`
+        "category". Note that `radialaxis.angle` is snapped to the
+        angle of the closest vertex when `gridshape` is "circular" (so
+        that radial axis scale is the same as the data scale).
+    
+        The 'gridshape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['circular', 'linear']
+
+        Returns
+        -------
+        Any
+        """
+        return self["gridshape"]
+
+    @gridshape.setter
+    def gridshape(self, val):
+        self["gridshape"] = val
+
+    # hole
+    # ----
+    @property
+    def hole(self):
+        """
+        Sets the fraction of the radius to cut out of the polar
+        subplot.
+    
+        The 'hole' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["hole"]
+
+    @hole.setter
+    def hole(self, val):
+        self["hole"] = val
+
+    # radialaxis
+    # ----------
+    @property
+    def radialaxis(self):
+        """
+        The 'radialaxis' property is an instance of RadialAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.RadialAxis`
+          - A dict of string/value properties that will be passed
+            to the RadialAxis constructor
+    
+            Supported dict properties:
+                
+                angle
+                    Sets the angle (in degrees) from which the
+                    radial axis is drawn. Note that by default,
+                    radial axis line on the theta=0 line
+                    corresponds to a line pointing right (like what
+                    mathematicians prefer). Defaults to the first
+                    `polar.sector` angle.
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                calendar
+                    Sets the calendar system to use for `range` and
+                    `tick0` if this is a date axis. This does not
+                    set the calendar for interpreting data on this
+                    axis, that's specified in the trace or via the
+                    global `layout.calendar`
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangemode
+                    If *tozero*`, the range extends to 0,
+                    regardless of the input data If "nonnegative",
+                    the range is non-negative, regardless of the
+                    input data. If "normal", the range is computed
+                    in relation to the extrema of the input data
+                    (same behavior as for cartesian axes).
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                side
+                    Determines on which side of radial axis line
+                    the tick and tick labels appear.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    polar.radialaxis.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.polar.radialaxis.tickformatstopdefaults),
+                    sets the default property values to use for
+                    elements of
+                    layout.polar.radialaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.polar.radia
+                    laxis.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.polar.radialaxis.title.font instead.
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `range`, `autorange`, `angle`, and `title`
+                    if in `editable: true` configuration. Defaults
+                    to `polar<N>.uirevision`.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.RadialAxis
+        """
+        return self["radialaxis"]
+
+    @radialaxis.setter
+    def radialaxis(self, val):
+        self["radialaxis"] = val
+
+    # sector
+    # ------
+    @property
+    def sector(self):
+        """
+        Sets angular span of this polar subplot with two angles (in
+        degrees). Sector are assumed to be spanned in the
+        counterclockwise direction with 0 corresponding to rightmost
+        limit of the polar subplot.
+    
+        The 'sector' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'sector[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'sector[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["sector"]
+
+    @sector.setter
+    def sector(self, val):
+        self["sector"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis attributes,
+        if not overridden in the individual axes. Defaults to
+        `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        angularaxis
+            :class:`plotly.graph_objects.layout.polar.AngularAxis`
+            instance or dict with compatible properties
+        bargap
+            Sets the gap between bars of adjacent location
+            coordinates. Values are unitless, they represent
+            fractions of the minimum difference in bar positions in
+            the data.
+        barmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "stack", the bars are
+            stacked on top of one another With "overlay", the bars
+            are plotted over one another, you might need to an
+            "opacity" to see multiple bars.
+        bgcolor
+            Set the background color of the subplot
+        domain
+            :class:`plotly.graph_objects.layout.polar.Domain`
+            instance or dict with compatible properties
+        gridshape
+            Determines if the radial axis grid lines and angular
+            axis line are drawn as "circular" sectors or as
+            "linear" (polygon) sectors. Has an effect only when the
+            angular axis has `type` "category". Note that
+            `radialaxis.angle` is snapped to the angle of the
+            closest vertex when `gridshape` is "circular" (so that
+            radial axis scale is the same as the data scale).
+        hole
+            Sets the fraction of the radius to cut out of the polar
+            subplot.
+        radialaxis
+            :class:`plotly.graph_objects.layout.polar.RadialAxis`
+            instance or dict with compatible properties
+        sector
+            Sets angular span of this polar subplot with two angles
+            (in degrees). Sector are assumed to be spanned in the
+            counterclockwise direction with 0 corresponding to
+            rightmost limit of the polar subplot.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            attributes, if not overridden in the individual axes.
+            Defaults to `layout.uirevision`.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        angularaxis=None,
+        bargap=None,
+        barmode=None,
+        bgcolor=None,
+        domain=None,
+        gridshape=None,
+        hole=None,
+        radialaxis=None,
+        sector=None,
+        uirevision=None,
+        **kwargs
+    ):
+        """
+        Construct a new Polar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Polar`
+        angularaxis
+            :class:`plotly.graph_objects.layout.polar.AngularAxis`
+            instance or dict with compatible properties
+        bargap
+            Sets the gap between bars of adjacent location
+            coordinates. Values are unitless, they represent
+            fractions of the minimum difference in bar positions in
+            the data.
+        barmode
+            Determines how bars at the same location coordinate are
+            displayed on the graph. With "stack", the bars are
+            stacked on top of one another With "overlay", the bars
+            are plotted over one another, you might need to an
+            "opacity" to see multiple bars.
+        bgcolor
+            Set the background color of the subplot
+        domain
+            :class:`plotly.graph_objects.layout.polar.Domain`
+            instance or dict with compatible properties
+        gridshape
+            Determines if the radial axis grid lines and angular
+            axis line are drawn as "circular" sectors or as
+            "linear" (polygon) sectors. Has an effect only when the
+            angular axis has `type` "category". Note that
+            `radialaxis.angle` is snapped to the angle of the
+            closest vertex when `gridshape` is "circular" (so that
+            radial axis scale is the same as the data scale).
+        hole
+            Sets the fraction of the radius to cut out of the polar
+            subplot.
+        radialaxis
+            :class:`plotly.graph_objects.layout.polar.RadialAxis`
+            instance or dict with compatible properties
+        sector
+            Sets angular span of this polar subplot with two angles
+            (in degrees). Sector are assumed to be spanned in the
+            counterclockwise direction with 0 corresponding to
+            rightmost limit of the polar subplot.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            attributes, if not overridden in the individual axes.
+            Defaults to `layout.uirevision`.
+
+        Returns
+        -------
+        Polar
+        """
+        super(Polar, self).__init__("polar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Polar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Polar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("angularaxis", None)
+        _v = angularaxis if angularaxis is not None else _v
+        if _v is not None:
+            self["angularaxis"] = _v
+        _v = arg.pop("bargap", None)
+        _v = bargap if bargap is not None else _v
+        if _v is not None:
+            self["bargap"] = _v
+        _v = arg.pop("barmode", None)
+        _v = barmode if barmode is not None else _v
+        if _v is not None:
+            self["barmode"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("gridshape", None)
+        _v = gridshape if gridshape is not None else _v
+        if _v is not None:
+            self["gridshape"] = _v
+        _v = arg.pop("hole", None)
+        _v = hole if hole is not None else _v
+        if _v is not None:
+            self["hole"] = _v
+        _v = arg.pop("radialaxis", None)
+        _v = radialaxis if radialaxis is not None else _v
+        if _v is not None:
+            self["radialaxis"] = _v
+        _v = arg.pop("sector", None)
+        _v = sector if sector is not None else _v
+        if _v is not None:
+            self["sector"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_radialaxis.py b/packages/python/plotly/plotly/graph_objs/layout/_radialaxis.py
new file mode 100644
index 00000000000..4883ad99510
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_radialaxis.py
@@ -0,0 +1,513 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class RadialAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.radialaxis"
+    _valid_props = {
+        "domain",
+        "endpadding",
+        "orientation",
+        "range",
+        "showline",
+        "showticklabels",
+        "tickcolor",
+        "ticklen",
+        "tickorientation",
+        "ticksuffix",
+        "visible",
+    }
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        Polar chart subplots are not supported yet. This key has
+        currently no effect.
+    
+        The 'domain' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'domain[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'domain[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # endpadding
+    # ----------
+    @property
+    def endpadding(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots.
+    
+        The 'endpadding' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["endpadding"]
+
+    @endpadding.setter
+    def endpadding(self, val):
+        self["endpadding"] = val
+
+    # orientation
+    # -----------
+    @property
+    def orientation(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the orientation (an angle with respect to the
+        origin) of the radial axis.
+    
+        The 'orientation' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["orientation"]
+
+    @orientation.setter
+    def orientation(self, val):
+        self["orientation"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Defines the start and end point of this radial axis.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Determines whether or not the line bounding this
+        radial axis will be shown on the figure.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Determines whether or not the radial axis ticks will
+        feature tick labels.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the color of the tick lines on this radial axis.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the length of the tick lines on this radial
+        axis.
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickorientation
+    # ---------------
+    @property
+    def tickorientation(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the orientation (from the paper perspective) of
+        the radial axis tick labels.
+    
+        The 'tickorientation' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['horizontal', 'vertical']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickorientation"]
+
+    @tickorientation.setter
+    def tickorientation(self, val):
+        self["tickorientation"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Sets the length of the tick lines on this radial
+        axis.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Legacy polar charts are deprecated! Please switch to "polar"
+        subplots. Determines whether or not this axis will be visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        domain
+            Polar chart subplots are not supported yet. This key
+            has currently no effect.
+        endpadding
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots.
+        orientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the orientation (an angle with
+            respect to the origin) of the radial axis.
+        range
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Defines the start and end point of
+            this radial axis.
+        showline
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the line
+            bounding this radial axis will be shown on the figure.
+        showticklabels
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the radial
+            axis ticks will feature tick labels.
+        tickcolor
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the color of the tick lines on
+            this radial axis.
+        ticklen
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this radial axis.
+        tickorientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the orientation (from the paper
+            perspective) of the radial axis tick labels.
+        ticksuffix
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this radial axis.
+        visible
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not this axis
+            will be visible.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        domain=None,
+        endpadding=None,
+        orientation=None,
+        range=None,
+        showline=None,
+        showticklabels=None,
+        tickcolor=None,
+        ticklen=None,
+        tickorientation=None,
+        ticksuffix=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new RadialAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.RadialAxis`
+        domain
+            Polar chart subplots are not supported yet. This key
+            has currently no effect.
+        endpadding
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots.
+        orientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the orientation (an angle with
+            respect to the origin) of the radial axis.
+        range
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Defines the start and end point of
+            this radial axis.
+        showline
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the line
+            bounding this radial axis will be shown on the figure.
+        showticklabels
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not the radial
+            axis ticks will feature tick labels.
+        tickcolor
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the color of the tick lines on
+            this radial axis.
+        ticklen
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this radial axis.
+        tickorientation
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the orientation (from the paper
+            perspective) of the radial axis tick labels.
+        ticksuffix
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Sets the length of the tick lines on
+            this radial axis.
+        visible
+            Legacy polar charts are deprecated! Please switch to
+            "polar" subplots. Determines whether or not this axis
+            will be visible.
+
+        Returns
+        -------
+        RadialAxis
+        """
+        super(RadialAxis, self).__init__("radialaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.RadialAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.RadialAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("endpadding", None)
+        _v = endpadding if endpadding is not None else _v
+        if _v is not None:
+            self["endpadding"] = _v
+        _v = arg.pop("orientation", None)
+        _v = orientation if orientation is not None else _v
+        if _v is not None:
+            self["orientation"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickorientation", None)
+        _v = tickorientation if tickorientation is not None else _v
+        if _v is not None:
+            self["tickorientation"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_scene.py b/packages/python/plotly/plotly/graph_objs/layout/_scene.py
new file mode 100644
index 00000000000..3f34272c1c5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_scene.py
@@ -0,0 +1,1674 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Scene(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.scene"
+    _valid_props = {
+        "annotationdefaults",
+        "annotations",
+        "aspectmode",
+        "aspectratio",
+        "bgcolor",
+        "camera",
+        "domain",
+        "dragmode",
+        "hovermode",
+        "uirevision",
+        "xaxis",
+        "yaxis",
+        "zaxis",
+    }
+
+    # annotations
+    # -----------
+    @property
+    def annotations(self):
+        """
+        The 'annotations' property is a tuple of instances of
+        Annotation that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.scene.Annotation
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Annotation constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the `text`
+                    within the box. Has an effect only if `text`
+                    spans two or more lines (i.e. `text` contains
+                    one or more <br> HTML tags) or if an explicit
+                    width is set to override the text width.
+                arrowcolor
+                    Sets the color of the annotation arrow.
+                arrowhead
+                    Sets the end annotation arrow head style.
+                arrowside
+                    Sets the annotation arrow head position.
+                arrowsize
+                    Sets the size of the end annotation arrow head,
+                    relative to `arrowwidth`. A value of 1
+                    (default) gives a head about 3x as wide as the
+                    line.
+                arrowwidth
+                    Sets the width (in px) of annotation arrow
+                    line.
+                ax
+                    Sets the x component of the arrow tail about
+                    the arrow head (in pixels).
+                ay
+                    Sets the y component of the arrow tail about
+                    the arrow head (in pixels).
+                bgcolor
+                    Sets the background color of the annotation.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    annotation `text`.
+                borderpad
+                    Sets the padding (in px) between the `text` and
+                    the enclosing border.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the annotation `text`.
+                captureevents
+                    Determines whether the annotation text box
+                    captures mouse move and click events, or allows
+                    those events to pass through to data points in
+                    the plot that may be behind the annotation. By
+                    default `captureevents` is False unless
+                    `hovertext` is provided. If you use the event
+                    `plotly_clickannotation` without `hovertext`
+                    you must explicitly enable `captureevents`.
+                font
+                    Sets the annotation text font.
+                height
+                    Sets an explicit height for the text box. null
+                    (default) lets the text set the box height.
+                    Taller text will be clipped.
+                hoverlabel
+                    :class:`plotly.graph_objects.layout.scene.annot
+                    ation.Hoverlabel` instance or dict with
+                    compatible properties
+                hovertext
+                    Sets text to appear when hovering over this
+                    annotation. If omitted or blank, no hover label
+                    will appear.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                opacity
+                    Sets the opacity of the annotation (text +
+                    arrow).
+                showarrow
+                    Determines whether or not the annotation is
+                    drawn with an arrow. If True, `text` is placed
+                    near the arrow's tail. If False, `text` lines
+                    up with the `x` and `y` provided.
+                standoff
+                    Sets a distance, in pixels, to move the end
+                    arrowhead away from the position it is pointing
+                    at, for example to point at the edge of a
+                    marker independent of zoom. Note that this
+                    shortens the arrow from the `ax` / `ay` vector,
+                    in contrast to `xshift` / `yshift` which moves
+                    everything by this amount.
+                startarrowhead
+                    Sets the start annotation arrow head style.
+                startarrowsize
+                    Sets the size of the start annotation arrow
+                    head, relative to `arrowwidth`. A value of 1
+                    (default) gives a head about 3x as wide as the
+                    line.
+                startstandoff
+                    Sets a distance, in pixels, to move the start
+                    arrowhead away from the position it is pointing
+                    at, for example to point at the edge of a
+                    marker independent of zoom. Note that this
+                    shortens the arrow from the `ax` / `ay` vector,
+                    in contrast to `xshift` / `yshift` which moves
+                    everything by this amount.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                text
+                    Sets the text associated with this annotation.
+                    Plotly uses a subset of HTML tags to do things
+                    like newline (<br>), bold (<b></b>), italics
+                    (<i></i>), hyperlinks (<a href='...'></a>).
+                    Tags <em>, <sup>, <sub> <span> are also
+                    supported.
+                textangle
+                    Sets the angle at which the `text` is drawn
+                    with respect to the horizontal.
+                valign
+                    Sets the vertical alignment of the `text`
+                    within the box. Has an effect only if an
+                    explicit height is set to override the text
+                    height.
+                visible
+                    Determines whether or not this annotation is
+                    visible.
+                width
+                    Sets an explicit width for the text box. null
+                    (default) lets the text set the box width.
+                    Wider text will be clipped. There is no
+                    automatic wrapping; use <br> to start a new
+                    line.
+                x
+                    Sets the annotation's x position.
+                xanchor
+                    Sets the text box's horizontal position anchor
+                    This anchor binds the `x` position to the
+                    "left", "center" or "right" of the annotation.
+                    For example, if `x` is set to 1, `xref` to
+                    "paper" and `xanchor` to "right" then the
+                    right-most portion of the annotation lines up
+                    with the right-most edge of the plotting area.
+                    If "auto", the anchor is equivalent to "center"
+                    for data-referenced annotations or if there is
+                    an arrow, whereas for paper-referenced with no
+                    arrow, the anchor picked corresponds to the
+                    closest side.
+                xshift
+                    Shifts the position of the whole annotation and
+                    arrow to the right (positive) or left
+                    (negative) by this many pixels.
+                y
+                    Sets the annotation's y position.
+                yanchor
+                    Sets the text box's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the annotation.
+                    For example, if `y` is set to 1, `yref` to
+                    "paper" and `yanchor` to "top" then the top-
+                    most portion of the annotation lines up with
+                    the top-most edge of the plotting area. If
+                    "auto", the anchor is equivalent to "middle"
+                    for data-referenced annotations or if there is
+                    an arrow, whereas for paper-referenced with no
+                    arrow, the anchor picked corresponds to the
+                    closest side.
+                yshift
+                    Shifts the position of the whole annotation and
+                    arrow up (positive) or down (negative) by this
+                    many pixels.
+                z
+                    Sets the annotation's z position.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.scene.Annotation]
+        """
+        return self["annotations"]
+
+    @annotations.setter
+    def annotations(self, val):
+        self["annotations"] = val
+
+    # annotationdefaults
+    # ------------------
+    @property
+    def annotationdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.scene.annotationdefaults), sets the
+        default property values to use for elements of
+        layout.scene.annotations
+    
+        The 'annotationdefaults' property is an instance of Annotation
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.Annotation`
+          - A dict of string/value properties that will be passed
+            to the Annotation constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.Annotation
+        """
+        return self["annotationdefaults"]
+
+    @annotationdefaults.setter
+    def annotationdefaults(self, val):
+        self["annotationdefaults"] = val
+
+    # aspectmode
+    # ----------
+    @property
+    def aspectmode(self):
+        """
+        If "cube", this scene's axes are drawn as a cube, regardless of
+        the axes' ranges. If "data", this scene's axes are drawn in
+        proportion with the axes' ranges. If "manual", this scene's
+        axes are drawn in proportion with the input of "aspectratio"
+        (the default behavior if "aspectratio" is provided). If "auto",
+        this scene's axes are drawn using the results of "data" except
+        when one axis is more than four times the size of the two
+        others, where in that case the results of "cube" are used.
+    
+        The 'aspectmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'cube', 'data', 'manual']
+
+        Returns
+        -------
+        Any
+        """
+        return self["aspectmode"]
+
+    @aspectmode.setter
+    def aspectmode(self, val):
+        self["aspectmode"] = val
+
+    # aspectratio
+    # -----------
+    @property
+    def aspectratio(self):
+        """
+        Sets this scene's axis aspectratio.
+    
+        The 'aspectratio' property is an instance of Aspectratio
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.Aspectratio`
+          - A dict of string/value properties that will be passed
+            to the Aspectratio constructor
+    
+            Supported dict properties:
+                
+                x
+    
+                y
+    
+                z
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.Aspectratio
+        """
+        return self["aspectratio"]
+
+    @aspectratio.setter
+    def aspectratio(self, val):
+        self["aspectratio"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # camera
+    # ------
+    @property
+    def camera(self):
+        """
+        The 'camera' property is an instance of Camera
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.Camera`
+          - A dict of string/value properties that will be passed
+            to the Camera constructor
+    
+            Supported dict properties:
+                
+                center
+                    Sets the (x,y,z) components of the 'center'
+                    camera vector This vector determines the
+                    translation (x,y,z) space about the center of
+                    this scene. By default, there is no such
+                    translation.
+                eye
+                    Sets the (x,y,z) components of the 'eye' camera
+                    vector. This vector determines the view point
+                    about the origin of this scene.
+                projection
+                    :class:`plotly.graph_objects.layout.scene.camer
+                    a.Projection` instance or dict with compatible
+                    properties
+                up
+                    Sets the (x,y,z) components of the 'up' camera
+                    vector. This vector determines the up direction
+                    of this scene with respect to the page. The
+                    default is *{x: 0, y: 0, z: 1}* which means
+                    that the z axis points up.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.Camera
+        """
+        return self["camera"]
+
+    @camera.setter
+    def camera(self, val):
+        self["camera"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this scene subplot
+                    .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this scene subplot .
+                x
+                    Sets the horizontal domain of this scene
+                    subplot (in plot fraction).
+                y
+                    Sets the vertical domain of this scene subplot
+                    (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # dragmode
+    # --------
+    @property
+    def dragmode(self):
+        """
+        Determines the mode of drag interactions for this scene.
+    
+        The 'dragmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['orbit', 'turntable', 'zoom', 'pan', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["dragmode"]
+
+    @dragmode.setter
+    def dragmode(self, val):
+        self["dragmode"] = val
+
+    # hovermode
+    # ---------
+    @property
+    def hovermode(self):
+        """
+        Determines the mode of hover interactions for this scene.
+    
+        The 'hovermode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['closest', False]
+
+        Returns
+        -------
+        Any
+        """
+        return self["hovermode"]
+
+    @hovermode.setter
+    def hovermode(self, val):
+        self["hovermode"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in camera
+        attributes. Defaults to `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # xaxis
+    # -----
+    @property
+    def xaxis(self):
+        """
+        The 'xaxis' property is an instance of XAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.XAxis`
+          - A dict of string/value properties that will be passed
+            to the XAxis constructor
+    
+            Supported dict properties:
+                
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                backgroundcolor
+                    Sets the background color of this axis' wall.
+                calendar
+                    Sets the calendar system to use for `range` and
+                    `tick0` if this is a date axis. This does not
+                    set the calendar for interpreting data on this
+                    axis, that's specified in the trace or via the
+                    global `layout.calendar`
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                mirror
+                    Determines if the axis lines or/and ticks are
+                    mirrored to the opposite side of the plotting
+                    area. If True, the axis lines are mirrored. If
+                    "ticks", the axis lines and ticks are mirrored.
+                    If False, mirroring is disable. If "all", axis
+                    lines are mirrored on all shared-axes subplots.
+                    If "allticks", axis lines and ticks are
+                    mirrored on all shared-axes subplots.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data. Applies
+                    only to linear axes.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showaxeslabels
+                    Sets whether or not this axis is labeled
+                showbackground
+                    Sets whether or not this axis' wall has a
+                    background color.
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showspikes
+                    Sets whether or not spikes starting from data
+                    points to this axis' wall are shown on hover.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                spikecolor
+                    Sets the color of the spikes.
+                spikesides
+                    Sets whether or not spikes extending from the
+                    projection data points to this axis' wall
+                    boundaries are shown on hover.
+                spikethickness
+                    Sets the thickness (in px) of the spikes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    scene.xaxis.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.scene.xaxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of layout.scene.xaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.scene.xaxis
+                    .Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.scene.xaxis.title.font instead. Sets
+                    this axis' title font. Note that the title's
+                    font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+                zeroline
+                    Determines whether or not a line is drawn at
+                    along the 0 value of this axis. If True, the
+                    zero line is drawn on top of the grid lines.
+                zerolinecolor
+                    Sets the line color of the zero line.
+                zerolinewidth
+                    Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.XAxis
+        """
+        return self["xaxis"]
+
+    @xaxis.setter
+    def xaxis(self, val):
+        self["xaxis"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        The 'yaxis' property is an instance of YAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.YAxis`
+          - A dict of string/value properties that will be passed
+            to the YAxis constructor
+    
+            Supported dict properties:
+                
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                backgroundcolor
+                    Sets the background color of this axis' wall.
+                calendar
+                    Sets the calendar system to use for `range` and
+                    `tick0` if this is a date axis. This does not
+                    set the calendar for interpreting data on this
+                    axis, that's specified in the trace or via the
+                    global `layout.calendar`
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                mirror
+                    Determines if the axis lines or/and ticks are
+                    mirrored to the opposite side of the plotting
+                    area. If True, the axis lines are mirrored. If
+                    "ticks", the axis lines and ticks are mirrored.
+                    If False, mirroring is disable. If "all", axis
+                    lines are mirrored on all shared-axes subplots.
+                    If "allticks", axis lines and ticks are
+                    mirrored on all shared-axes subplots.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data. Applies
+                    only to linear axes.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showaxeslabels
+                    Sets whether or not this axis is labeled
+                showbackground
+                    Sets whether or not this axis' wall has a
+                    background color.
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showspikes
+                    Sets whether or not spikes starting from data
+                    points to this axis' wall are shown on hover.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                spikecolor
+                    Sets the color of the spikes.
+                spikesides
+                    Sets whether or not spikes extending from the
+                    projection data points to this axis' wall
+                    boundaries are shown on hover.
+                spikethickness
+                    Sets the thickness (in px) of the spikes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    scene.yaxis.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.scene.yaxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of layout.scene.yaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.scene.yaxis
+                    .Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.scene.yaxis.title.font instead. Sets
+                    this axis' title font. Note that the title's
+                    font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+                zeroline
+                    Determines whether or not a line is drawn at
+                    along the 0 value of this axis. If True, the
+                    zero line is drawn on top of the grid lines.
+                zerolinecolor
+                    Sets the line color of the zero line.
+                zerolinewidth
+                    Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.YAxis
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # zaxis
+    # -----
+    @property
+    def zaxis(self):
+        """
+        The 'zaxis' property is an instance of ZAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.ZAxis`
+          - A dict of string/value properties that will be passed
+            to the ZAxis constructor
+    
+            Supported dict properties:
+                
+                autorange
+                    Determines whether or not the range of this
+                    axis is computed in relation to the input data.
+                    See `rangemode` for more info. If `range` is
+                    provided, then `autorange` is set to False.
+                backgroundcolor
+                    Sets the background color of this axis' wall.
+                calendar
+                    Sets the calendar system to use for `range` and
+                    `tick0` if this is a date axis. This does not
+                    set the calendar for interpreting data on this
+                    axis, that's specified in the trace or via the
+                    global `layout.calendar`
+                categoryarray
+                    Sets the order in which categories on this axis
+                    appear. Only has an effect if `categoryorder`
+                    is set to "array". Used with `categoryorder`.
+                categoryarraysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  categoryarray .
+                categoryorder
+                    Specifies the ordering logic for the case of
+                    categorical variables. By default, plotly uses
+                    "trace", which specifies the order that is
+                    present in the data supplied. Set
+                    `categoryorder` to *category ascending* or
+                    *category descending* if order should be
+                    determined by the alphanumerical order of the
+                    category names. Set `categoryorder` to "array"
+                    to derive the ordering from the attribute
+                    `categoryarray`. If a category is not found in
+                    the `categoryarray` array, the sorting behavior
+                    for that attribute will be identical to the
+                    "trace" mode. The unspecified categories will
+                    follow the categories in `categoryarray`. Set
+                    `categoryorder` to *total ascending* or *total
+                    descending* if order should be determined by
+                    the numerical order of the values. Similarly,
+                    the order can be determined by the min, max,
+                    sum, mean or median of all the values.
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                mirror
+                    Determines if the axis lines or/and ticks are
+                    mirrored to the opposite side of the plotting
+                    area. If True, the axis lines are mirrored. If
+                    "ticks", the axis lines and ticks are mirrored.
+                    If False, mirroring is disable. If "all", axis
+                    lines are mirrored on all shared-axes subplots.
+                    If "allticks", axis lines and ticks are
+                    mirrored on all shared-axes subplots.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                range
+                    Sets the range of this axis. If the axis `type`
+                    is "log", then you must take the log of your
+                    desired range (e.g. to set the range from 1 to
+                    100, set the range from 0 to 2). If the axis
+                    `type` is "date", it should be date strings,
+                    like date data, though Date objects and unix
+                    milliseconds will be accepted and converted to
+                    strings. If the axis `type` is "category", it
+                    should be numbers, using the scale where each
+                    category is assigned a serial number from zero
+                    in the order it appears.
+                rangemode
+                    If "normal", the range is computed in relation
+                    to the extrema of the input data. If *tozero*`,
+                    the range extends to 0, regardless of the input
+                    data If "nonnegative", the range is non-
+                    negative, regardless of the input data. Applies
+                    only to linear axes.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showaxeslabels
+                    Sets whether or not this axis is labeled
+                showbackground
+                    Sets whether or not this axis' wall has a
+                    background color.
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showspikes
+                    Sets whether or not spikes starting from data
+                    points to this axis' wall are shown on hover.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                spikecolor
+                    Sets the color of the spikes.
+                spikesides
+                    Sets whether or not spikes extending from the
+                    projection data points to this axis' wall
+                    boundaries are shown on hover.
+                spikethickness
+                    Sets the thickness (in px) of the spikes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    scene.zaxis.Tickformatstop` instances or dicts
+                    with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.scene.zaxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of layout.scene.zaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.scene.zaxis
+                    .Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.scene.zaxis.title.font instead. Sets
+                    this axis' title font. Note that the title's
+                    font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                type
+                    Sets the axis type. By default, plotly attempts
+                    to determined the axis type by looking into the
+                    data of the traces that referenced the axis in
+                    question.
+                visible
+                    A single toggle to hide the axis while
+                    preserving interaction like dragging. Default
+                    is true when a cheater plot is present on the
+                    axis, otherwise false
+                zeroline
+                    Determines whether or not a line is drawn at
+                    along the 0 value of this axis. If True, the
+                    zero line is drawn on top of the grid lines.
+                zerolinecolor
+                    Sets the line color of the zero line.
+                zerolinewidth
+                    Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.ZAxis
+        """
+        return self["zaxis"]
+
+    @zaxis.setter
+    def zaxis(self, val):
+        self["zaxis"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        annotations
+            A tuple of
+            :class:`plotly.graph_objects.layout.scene.Annotation`
+            instances or dicts with compatible properties
+        annotationdefaults
+            When used in a template (as
+            layout.template.layout.scene.annotationdefaults), sets
+            the default property values to use for elements of
+            layout.scene.annotations
+        aspectmode
+            If "cube", this scene's axes are drawn as a cube,
+            regardless of the axes' ranges. If "data", this scene's
+            axes are drawn in proportion with the axes' ranges. If
+            "manual", this scene's axes are drawn in proportion
+            with the input of "aspectratio" (the default behavior
+            if "aspectratio" is provided). If "auto", this scene's
+            axes are drawn using the results of "data" except when
+            one axis is more than four times the size of the two
+            others, where in that case the results of "cube" are
+            used.
+        aspectratio
+            Sets this scene's axis aspectratio.
+        bgcolor
+
+        camera
+            :class:`plotly.graph_objects.layout.scene.Camera`
+            instance or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.layout.scene.Domain`
+            instance or dict with compatible properties
+        dragmode
+            Determines the mode of drag interactions for this
+            scene.
+        hovermode
+            Determines the mode of hover interactions for this
+            scene.
+        uirevision
+            Controls persistence of user-driven changes in camera
+            attributes. Defaults to `layout.uirevision`.
+        xaxis
+            :class:`plotly.graph_objects.layout.scene.XAxis`
+            instance or dict with compatible properties
+        yaxis
+            :class:`plotly.graph_objects.layout.scene.YAxis`
+            instance or dict with compatible properties
+        zaxis
+            :class:`plotly.graph_objects.layout.scene.ZAxis`
+            instance or dict with compatible properties
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        annotations=None,
+        annotationdefaults=None,
+        aspectmode=None,
+        aspectratio=None,
+        bgcolor=None,
+        camera=None,
+        domain=None,
+        dragmode=None,
+        hovermode=None,
+        uirevision=None,
+        xaxis=None,
+        yaxis=None,
+        zaxis=None,
+        **kwargs
+    ):
+        """
+        Construct a new Scene object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Scene`
+        annotations
+            A tuple of
+            :class:`plotly.graph_objects.layout.scene.Annotation`
+            instances or dicts with compatible properties
+        annotationdefaults
+            When used in a template (as
+            layout.template.layout.scene.annotationdefaults), sets
+            the default property values to use for elements of
+            layout.scene.annotations
+        aspectmode
+            If "cube", this scene's axes are drawn as a cube,
+            regardless of the axes' ranges. If "data", this scene's
+            axes are drawn in proportion with the axes' ranges. If
+            "manual", this scene's axes are drawn in proportion
+            with the input of "aspectratio" (the default behavior
+            if "aspectratio" is provided). If "auto", this scene's
+            axes are drawn using the results of "data" except when
+            one axis is more than four times the size of the two
+            others, where in that case the results of "cube" are
+            used.
+        aspectratio
+            Sets this scene's axis aspectratio.
+        bgcolor
+
+        camera
+            :class:`plotly.graph_objects.layout.scene.Camera`
+            instance or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.layout.scene.Domain`
+            instance or dict with compatible properties
+        dragmode
+            Determines the mode of drag interactions for this
+            scene.
+        hovermode
+            Determines the mode of hover interactions for this
+            scene.
+        uirevision
+            Controls persistence of user-driven changes in camera
+            attributes. Defaults to `layout.uirevision`.
+        xaxis
+            :class:`plotly.graph_objects.layout.scene.XAxis`
+            instance or dict with compatible properties
+        yaxis
+            :class:`plotly.graph_objects.layout.scene.YAxis`
+            instance or dict with compatible properties
+        zaxis
+            :class:`plotly.graph_objects.layout.scene.ZAxis`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Scene
+        """
+        super(Scene, self).__init__("scene")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Scene 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Scene`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("annotations", None)
+        _v = annotations if annotations is not None else _v
+        if _v is not None:
+            self["annotations"] = _v
+        _v = arg.pop("annotationdefaults", None)
+        _v = annotationdefaults if annotationdefaults is not None else _v
+        if _v is not None:
+            self["annotationdefaults"] = _v
+        _v = arg.pop("aspectmode", None)
+        _v = aspectmode if aspectmode is not None else _v
+        if _v is not None:
+            self["aspectmode"] = _v
+        _v = arg.pop("aspectratio", None)
+        _v = aspectratio if aspectratio is not None else _v
+        if _v is not None:
+            self["aspectratio"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("camera", None)
+        _v = camera if camera is not None else _v
+        if _v is not None:
+            self["camera"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("dragmode", None)
+        _v = dragmode if dragmode is not None else _v
+        if _v is not None:
+            self["dragmode"] = _v
+        _v = arg.pop("hovermode", None)
+        _v = hovermode if hovermode is not None else _v
+        if _v is not None:
+            self["hovermode"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("xaxis", None)
+        _v = xaxis if xaxis is not None else _v
+        if _v is not None:
+            self["xaxis"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+        _v = arg.pop("zaxis", None)
+        _v = zaxis if zaxis is not None else _v
+        if _v is not None:
+            self["zaxis"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_shape.py b/packages/python/plotly/plotly/graph_objs/layout/_shape.py
new file mode 100644
index 00000000000..999aa2b0507
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_shape.py
@@ -0,0 +1,963 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Shape(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.shape"
+    _valid_props = {
+        "fillcolor",
+        "layer",
+        "line",
+        "name",
+        "opacity",
+        "path",
+        "templateitemname",
+        "type",
+        "visible",
+        "x0",
+        "x1",
+        "xanchor",
+        "xref",
+        "xsizemode",
+        "y0",
+        "y1",
+        "yanchor",
+        "yref",
+        "ysizemode",
+    }
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the color filling the shape's interior.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Specifies whether shapes are drawn below or above traces.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['below', 'above']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.shape.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.shape.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the shape.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # path
+    # ----
+    @property
+    def path(self):
+        """
+        For `type` "path" - a valid SVG path with the pixel values
+        replaced by data values in `xsizemode`/`ysizemode` being
+        "scaled" and taken unmodified as pixels relative to `xanchor`
+        and `yanchor` in case of "pixel" size mode. There are a few
+        restrictions / quirks only absolute instructions, not relative.
+        So the allowed segments are: M, L, H, V, Q, C, T, S, and Z arcs
+        (A) are not allowed because radius rx and ry are relative. In
+        the future we could consider supporting relative commands, but
+        we would have to decide on how to handle date and log axes.
+        Note that even as is, Q and C Bezier paths that are smooth on
+        linear axes may not be smooth on log, and vice versa. no
+        chained "polybezier" commands - specify the segment type for
+        each one. On category axes, values are numbers scaled to the
+        serial numbers of categories because using the categories
+        themselves there would be no way to describe fractional
+        positions On data axes: because space and T are both normal
+        components of path strings, we can't use either to separate
+        date from time parts. Therefore we'll use underscore for this
+        purpose: 2015-02-21_13:45:56.789
+    
+        The 'path' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["path"]
+
+    @path.setter
+    def path(self, val):
+        self["path"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Specifies the shape type to be drawn. If "line", a line is
+        drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect to the axes'
+        sizing mode. If "circle", a circle is drawn from
+        ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius (|(`x0`+`x1`)/2 -
+        `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with respect to the axes' sizing
+        mode. If "rect", a rectangle is drawn linking (`x0`,`y0`),
+        (`x1`,`y0`), (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect
+        to the axes' sizing mode. If "path", draw a custom SVG path
+        using `path`. with respect to the axes' sizing mode.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['circle', 'rect', 'path', 'line']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this shape is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x0
+    # --
+    @property
+    def x0(self):
+        """
+        Sets the shape's starting x position. See `type` and
+        `xsizemode` for more info.
+    
+        The 'x0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x0"]
+
+    @x0.setter
+    def x0(self, val):
+        self["x0"] = val
+
+    # x1
+    # --
+    @property
+    def x1(self):
+        """
+        Sets the shape's end x position. See `type` and `xsizemode` for
+        more info.
+    
+        The 'x1' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x1"]
+
+    @x1.setter
+    def x1(self, val):
+        self["x1"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Only relevant in conjunction with `xsizemode` set to "pixel".
+        Specifies the anchor point on the x axis to which `x0`, `x1`
+        and x coordinates within `path` are relative to. E.g. useful to
+        attach a pixel sized shape to a certain data value. No effect
+        when `xsizemode` not set to "pixel".
+    
+        The 'xanchor' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xref
+    # ----
+    @property
+    def xref(self):
+        """
+        Sets the shape's x coordinate axis. If set to an x axis id
+        (e.g. "x" or "x2"), the `x` position refers to an x coordinate.
+        If set to "paper", the `x` position refers to the distance from
+        the left side of the plotting area in normalized coordinates
+        where 0 (1) corresponds to the left (right) side. If the axis
+        `type` is "log", then you must take the log of your desired
+        range. If the axis `type` is "date", then you must convert the
+        date to unix time in milliseconds.
+    
+        The 'xref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['paper']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xref"]
+
+    @xref.setter
+    def xref(self, val):
+        self["xref"] = val
+
+    # xsizemode
+    # ---------
+    @property
+    def xsizemode(self):
+        """
+        Sets the shapes's sizing mode along the x axis. If set to
+        "scaled", `x0`, `x1` and x coordinates within `path` refer to
+        data values on the x axis or a fraction of the plot area's
+        width (`xref` set to "paper"). If set to "pixel", `xanchor`
+        specifies the x position in terms of data or plot fraction but
+        `x0`, `x1` and x coordinates within `path` are pixels relative
+        to `xanchor`. This way, the shape can have a fixed width while
+        maintaining a position relative to data or plot fraction.
+    
+        The 'xsizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['scaled', 'pixel']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xsizemode"]
+
+    @xsizemode.setter
+    def xsizemode(self, val):
+        self["xsizemode"] = val
+
+    # y0
+    # --
+    @property
+    def y0(self):
+        """
+        Sets the shape's starting y position. See `type` and
+        `ysizemode` for more info.
+    
+        The 'y0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y0"]
+
+    @y0.setter
+    def y0(self, val):
+        self["y0"] = val
+
+    # y1
+    # --
+    @property
+    def y1(self):
+        """
+        Sets the shape's end y position. See `type` and `ysizemode` for
+        more info.
+    
+        The 'y1' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y1"]
+
+    @y1.setter
+    def y1(self, val):
+        self["y1"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Only relevant in conjunction with `ysizemode` set to "pixel".
+        Specifies the anchor point on the y axis to which `y0`, `y1`
+        and y coordinates within `path` are relative to. E.g. useful to
+        attach a pixel sized shape to a certain data value. No effect
+        when `ysizemode` not set to "pixel".
+    
+        The 'yanchor' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # yref
+    # ----
+    @property
+    def yref(self):
+        """
+        Sets the annotation's y coordinate axis. If set to an y axis id
+        (e.g. "y" or "y2"), the `y` position refers to an y coordinate
+        If set to "paper", the `y` position refers to the distance from
+        the bottom of the plotting area in normalized coordinates where
+        0 (1) corresponds to the bottom (top).
+    
+        The 'yref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['paper']
+          - A string that matches one of the following regular expressions:
+                ['^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yref"]
+
+    @yref.setter
+    def yref(self, val):
+        self["yref"] = val
+
+    # ysizemode
+    # ---------
+    @property
+    def ysizemode(self):
+        """
+        Sets the shapes's sizing mode along the y axis. If set to
+        "scaled", `y0`, `y1` and y coordinates within `path` refer to
+        data values on the y axis or a fraction of the plot area's
+        height (`yref` set to "paper"). If set to "pixel", `yanchor`
+        specifies the y position in terms of data or plot fraction but
+        `y0`, `y1` and y coordinates within `path` are pixels relative
+        to `yanchor`. This way, the shape can have a fixed height while
+        maintaining a position relative to data or plot fraction.
+    
+        The 'ysizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['scaled', 'pixel']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ysizemode"]
+
+    @ysizemode.setter
+    def ysizemode(self, val):
+        self["ysizemode"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fillcolor
+            Sets the color filling the shape's interior.
+        layer
+            Specifies whether shapes are drawn below or above
+            traces.
+        line
+            :class:`plotly.graph_objects.layout.shape.Line`
+            instance or dict with compatible properties
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the shape.
+        path
+            For `type` "path" - a valid SVG path with the pixel
+            values replaced by data values in
+            `xsizemode`/`ysizemode` being "scaled" and taken
+            unmodified as pixels relative to `xanchor` and
+            `yanchor` in case of "pixel" size mode. There are a few
+            restrictions / quirks only absolute instructions, not
+            relative. So the allowed segments are: M, L, H, V, Q,
+            C, T, S, and Z arcs (A) are not allowed because radius
+            rx and ry are relative. In the future we could consider
+            supporting relative commands, but we would have to
+            decide on how to handle date and log axes. Note that
+            even as is, Q and C Bezier paths that are smooth on
+            linear axes may not be smooth on log, and vice versa.
+            no chained "polybezier" commands - specify the segment
+            type for each one. On category axes, values are numbers
+            scaled to the serial numbers of categories because
+            using the categories themselves there would be no way
+            to describe fractional positions On data axes: because
+            space and T are both normal components of path strings,
+            we can't use either to separate date from time parts.
+            Therefore we'll use underscore for this purpose:
+            2015-02-21_13:45:56.789
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        type
+            Specifies the shape type to be drawn. If "line", a line
+            is drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect
+            to the axes' sizing mode. If "circle", a circle is
+            drawn from ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
+            (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with
+            respect to the axes' sizing mode. If "rect", a
+            rectangle is drawn linking (`x0`,`y0`), (`x1`,`y0`),
+            (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect to
+            the axes' sizing mode. If "path", draw a custom SVG
+            path using `path`. with respect to the axes' sizing
+            mode.
+        visible
+            Determines whether or not this shape is visible.
+        x0
+            Sets the shape's starting x position. See `type` and
+            `xsizemode` for more info.
+        x1
+            Sets the shape's end x position. See `type` and
+            `xsizemode` for more info.
+        xanchor
+            Only relevant in conjunction with `xsizemode` set to
+            "pixel". Specifies the anchor point on the x axis to
+            which `x0`, `x1` and x coordinates within `path` are
+            relative to. E.g. useful to attach a pixel sized shape
+            to a certain data value. No effect when `xsizemode` not
+            set to "pixel".
+        xref
+            Sets the shape's x coordinate axis. If set to an x axis
+            id (e.g. "x" or "x2"), the `x` position refers to an x
+            coordinate. If set to "paper", the `x` position refers
+            to the distance from the left side of the plotting area
+            in normalized coordinates where 0 (1) corresponds to
+            the left (right) side. If the axis `type` is "log",
+            then you must take the log of your desired range. If
+            the axis `type` is "date", then you must convert the
+            date to unix time in milliseconds.
+        xsizemode
+            Sets the shapes's sizing mode along the x axis. If set
+            to "scaled", `x0`, `x1` and x coordinates within `path`
+            refer to data values on the x axis or a fraction of the
+            plot area's width (`xref` set to "paper"). If set to
+            "pixel", `xanchor` specifies the x position in terms of
+            data or plot fraction but `x0`, `x1` and x coordinates
+            within `path` are pixels relative to `xanchor`. This
+            way, the shape can have a fixed width while maintaining
+            a position relative to data or plot fraction.
+        y0
+            Sets the shape's starting y position. See `type` and
+            `ysizemode` for more info.
+        y1
+            Sets the shape's end y position. See `type` and
+            `ysizemode` for more info.
+        yanchor
+            Only relevant in conjunction with `ysizemode` set to
+            "pixel". Specifies the anchor point on the y axis to
+            which `y0`, `y1` and y coordinates within `path` are
+            relative to. E.g. useful to attach a pixel sized shape
+            to a certain data value. No effect when `ysizemode` not
+            set to "pixel".
+        yref
+            Sets the annotation's y coordinate axis. If set to an y
+            axis id (e.g. "y" or "y2"), the `y` position refers to
+            an y coordinate If set to "paper", the `y` position
+            refers to the distance from the bottom of the plotting
+            area in normalized coordinates where 0 (1) corresponds
+            to the bottom (top).
+        ysizemode
+            Sets the shapes's sizing mode along the y axis. If set
+            to "scaled", `y0`, `y1` and y coordinates within `path`
+            refer to data values on the y axis or a fraction of the
+            plot area's height (`yref` set to "paper"). If set to
+            "pixel", `yanchor` specifies the y position in terms of
+            data or plot fraction but `y0`, `y1` and y coordinates
+            within `path` are pixels relative to `yanchor`. This
+            way, the shape can have a fixed height while
+            maintaining a position relative to data or plot
+            fraction.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fillcolor=None,
+        layer=None,
+        line=None,
+        name=None,
+        opacity=None,
+        path=None,
+        templateitemname=None,
+        type=None,
+        visible=None,
+        x0=None,
+        x1=None,
+        xanchor=None,
+        xref=None,
+        xsizemode=None,
+        y0=None,
+        y1=None,
+        yanchor=None,
+        yref=None,
+        ysizemode=None,
+        **kwargs
+    ):
+        """
+        Construct a new Shape object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Shape`
+        fillcolor
+            Sets the color filling the shape's interior.
+        layer
+            Specifies whether shapes are drawn below or above
+            traces.
+        line
+            :class:`plotly.graph_objects.layout.shape.Line`
+            instance or dict with compatible properties
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the shape.
+        path
+            For `type` "path" - a valid SVG path with the pixel
+            values replaced by data values in
+            `xsizemode`/`ysizemode` being "scaled" and taken
+            unmodified as pixels relative to `xanchor` and
+            `yanchor` in case of "pixel" size mode. There are a few
+            restrictions / quirks only absolute instructions, not
+            relative. So the allowed segments are: M, L, H, V, Q,
+            C, T, S, and Z arcs (A) are not allowed because radius
+            rx and ry are relative. In the future we could consider
+            supporting relative commands, but we would have to
+            decide on how to handle date and log axes. Note that
+            even as is, Q and C Bezier paths that are smooth on
+            linear axes may not be smooth on log, and vice versa.
+            no chained "polybezier" commands - specify the segment
+            type for each one. On category axes, values are numbers
+            scaled to the serial numbers of categories because
+            using the categories themselves there would be no way
+            to describe fractional positions On data axes: because
+            space and T are both normal components of path strings,
+            we can't use either to separate date from time parts.
+            Therefore we'll use underscore for this purpose:
+            2015-02-21_13:45:56.789
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        type
+            Specifies the shape type to be drawn. If "line", a line
+            is drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect
+            to the axes' sizing mode. If "circle", a circle is
+            drawn from ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
+            (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with
+            respect to the axes' sizing mode. If "rect", a
+            rectangle is drawn linking (`x0`,`y0`), (`x1`,`y0`),
+            (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect to
+            the axes' sizing mode. If "path", draw a custom SVG
+            path using `path`. with respect to the axes' sizing
+            mode.
+        visible
+            Determines whether or not this shape is visible.
+        x0
+            Sets the shape's starting x position. See `type` and
+            `xsizemode` for more info.
+        x1
+            Sets the shape's end x position. See `type` and
+            `xsizemode` for more info.
+        xanchor
+            Only relevant in conjunction with `xsizemode` set to
+            "pixel". Specifies the anchor point on the x axis to
+            which `x0`, `x1` and x coordinates within `path` are
+            relative to. E.g. useful to attach a pixel sized shape
+            to a certain data value. No effect when `xsizemode` not
+            set to "pixel".
+        xref
+            Sets the shape's x coordinate axis. If set to an x axis
+            id (e.g. "x" or "x2"), the `x` position refers to an x
+            coordinate. If set to "paper", the `x` position refers
+            to the distance from the left side of the plotting area
+            in normalized coordinates where 0 (1) corresponds to
+            the left (right) side. If the axis `type` is "log",
+            then you must take the log of your desired range. If
+            the axis `type` is "date", then you must convert the
+            date to unix time in milliseconds.
+        xsizemode
+            Sets the shapes's sizing mode along the x axis. If set
+            to "scaled", `x0`, `x1` and x coordinates within `path`
+            refer to data values on the x axis or a fraction of the
+            plot area's width (`xref` set to "paper"). If set to
+            "pixel", `xanchor` specifies the x position in terms of
+            data or plot fraction but `x0`, `x1` and x coordinates
+            within `path` are pixels relative to `xanchor`. This
+            way, the shape can have a fixed width while maintaining
+            a position relative to data or plot fraction.
+        y0
+            Sets the shape's starting y position. See `type` and
+            `ysizemode` for more info.
+        y1
+            Sets the shape's end y position. See `type` and
+            `ysizemode` for more info.
+        yanchor
+            Only relevant in conjunction with `ysizemode` set to
+            "pixel". Specifies the anchor point on the y axis to
+            which `y0`, `y1` and y coordinates within `path` are
+            relative to. E.g. useful to attach a pixel sized shape
+            to a certain data value. No effect when `ysizemode` not
+            set to "pixel".
+        yref
+            Sets the annotation's y coordinate axis. If set to an y
+            axis id (e.g. "y" or "y2"), the `y` position refers to
+            an y coordinate If set to "paper", the `y` position
+            refers to the distance from the bottom of the plotting
+            area in normalized coordinates where 0 (1) corresponds
+            to the bottom (top).
+        ysizemode
+            Sets the shapes's sizing mode along the y axis. If set
+            to "scaled", `y0`, `y1` and y coordinates within `path`
+            refer to data values on the y axis or a fraction of the
+            plot area's height (`yref` set to "paper"). If set to
+            "pixel", `yanchor` specifies the y position in terms of
+            data or plot fraction but `y0`, `y1` and y coordinates
+            within `path` are pixels relative to `yanchor`. This
+            way, the shape can have a fixed height while
+            maintaining a position relative to data or plot
+            fraction.
+
+        Returns
+        -------
+        Shape
+        """
+        super(Shape, self).__init__("shapes")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Shape 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Shape`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("path", None)
+        _v = path if path is not None else _v
+        if _v is not None:
+            self["path"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x0", None)
+        _v = x0 if x0 is not None else _v
+        if _v is not None:
+            self["x0"] = _v
+        _v = arg.pop("x1", None)
+        _v = x1 if x1 is not None else _v
+        if _v is not None:
+            self["x1"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xref", None)
+        _v = xref if xref is not None else _v
+        if _v is not None:
+            self["xref"] = _v
+        _v = arg.pop("xsizemode", None)
+        _v = xsizemode if xsizemode is not None else _v
+        if _v is not None:
+            self["xsizemode"] = _v
+        _v = arg.pop("y0", None)
+        _v = y0 if y0 is not None else _v
+        if _v is not None:
+            self["y0"] = _v
+        _v = arg.pop("y1", None)
+        _v = y1 if y1 is not None else _v
+        if _v is not None:
+            self["y1"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("yref", None)
+        _v = yref if yref is not None else _v
+        if _v is not None:
+            self["yref"] = _v
+        _v = arg.pop("ysizemode", None)
+        _v = ysizemode if ysizemode is not None else _v
+        if _v is not None:
+            self["ysizemode"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_slider.py b/packages/python/plotly/plotly/graph_objs/layout/_slider.py
new file mode 100644
index 00000000000..43cf3fb4369
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_slider.py
@@ -0,0 +1,1184 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Slider(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.slider"
+    _valid_props = {
+        "active",
+        "activebgcolor",
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "currentvalue",
+        "font",
+        "len",
+        "lenmode",
+        "minorticklen",
+        "name",
+        "pad",
+        "stepdefaults",
+        "steps",
+        "templateitemname",
+        "tickcolor",
+        "ticklen",
+        "tickwidth",
+        "transition",
+        "visible",
+        "x",
+        "xanchor",
+        "y",
+        "yanchor",
+    }
+
+    # active
+    # ------
+    @property
+    def active(self):
+        """
+        Determines which button (by index starting from 0) is
+        considered active.
+    
+        The 'active' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["active"]
+
+    @active.setter
+    def active(self, val):
+        self["active"] = val
+
+    # activebgcolor
+    # -------------
+    @property
+    def activebgcolor(self):
+        """
+        Sets the background color of the slider grip while dragging.
+    
+        The 'activebgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["activebgcolor"]
+
+    @activebgcolor.setter
+    def activebgcolor(self, val):
+        self["activebgcolor"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the slider.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the slider.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the slider.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # currentvalue
+    # ------------
+    @property
+    def currentvalue(self):
+        """
+        The 'currentvalue' property is an instance of Currentvalue
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.slider.Currentvalue`
+          - A dict of string/value properties that will be passed
+            to the Currentvalue constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets the font of the current value label text.
+                offset
+                    The amount of space, in pixels, between the
+                    current value label and the slider.
+                prefix
+                    When currentvalue.visible is true, this sets
+                    the prefix of the label.
+                suffix
+                    When currentvalue.visible is true, this sets
+                    the suffix of the label.
+                visible
+                    Shows the currently-selected value above the
+                    slider.
+                xanchor
+                    The alignment of the value readout relative to
+                    the length of the slider.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.slider.Currentvalue
+        """
+        return self["currentvalue"]
+
+    @currentvalue.setter
+    def currentvalue(self, val):
+        self["currentvalue"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font of the slider step labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.slider.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.slider.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the slider This measure excludes the padding
+        of both ends. That is, the slider's length is this length minus
+        the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this slider length is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # minorticklen
+    # ------------
+    @property
+    def minorticklen(self):
+        """
+        Sets the length in pixels of minor step tick marks
+    
+        The 'minorticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["minorticklen"]
+
+    @minorticklen.setter
+    def minorticklen(self, val):
+        self["minorticklen"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        Set the padding of the slider component along each side.
+    
+        The 'pad' property is an instance of Pad
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.slider.Pad`
+          - A dict of string/value properties that will be passed
+            to the Pad constructor
+    
+            Supported dict properties:
+                
+                b
+                    The amount of padding (in px) along the bottom
+                    of the component.
+                l
+                    The amount of padding (in px) on the left side
+                    of the component.
+                r
+                    The amount of padding (in px) on the right side
+                    of the component.
+                t
+                    The amount of padding (in px) along the top of
+                    the component.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.slider.Pad
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # steps
+    # -----
+    @property
+    def steps(self):
+        """
+        The 'steps' property is a tuple of instances of
+        Step that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.slider.Step
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Step constructor
+    
+            Supported dict properties:
+                
+                args
+                    Sets the arguments values to be passed to the
+                    Plotly method set in `method` on slide.
+                execute
+                    When true, the API method is executed. When
+                    false, all other behaviors are the same and
+                    command execution is skipped. This may be
+                    useful when hooking into, for example, the
+                    `plotly_sliderchange` method and executing the
+                    API command manually without losing the benefit
+                    of the slider automatically binding to the
+                    state of the plot through the specification of
+                    `method` and `args`.
+                label
+                    Sets the text label to appear on the slider
+                method
+                    Sets the Plotly method to be called when the
+                    slider value is changed. If the `skip` method
+                    is used, the API slider will function as normal
+                    but will perform no API calls and will not bind
+                    automatically to state updates. This may be
+                    used to create a component interface and attach
+                    to slider events manually via JavaScript.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    Sets the value of the slider step, used to
+                    refer to the step programatically. Defaults to
+                    the slider label if not provided.
+                visible
+                    Determines whether or not this step is included
+                    in the slider.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.slider.Step]
+        """
+        return self["steps"]
+
+    @steps.setter
+    def steps(self, val):
+        self["steps"] = val
+
+    # stepdefaults
+    # ------------
+    @property
+    def stepdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.slider.stepdefaults), sets the default
+        property values to use for elements of layout.slider.steps
+    
+        The 'stepdefaults' property is an instance of Step
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.slider.Step`
+          - A dict of string/value properties that will be passed
+            to the Step constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.slider.Step
+        """
+        return self["stepdefaults"]
+
+    @stepdefaults.setter
+    def stepdefaults(self, val):
+        self["stepdefaults"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the color of the border enclosing the slider.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the length in pixels of step tick marks
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # transition
+    # ----------
+    @property
+    def transition(self):
+        """
+        The 'transition' property is an instance of Transition
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.slider.Transition`
+          - A dict of string/value properties that will be passed
+            to the Transition constructor
+    
+            Supported dict properties:
+                
+                duration
+                    Sets the duration of the slider transition
+                easing
+                    Sets the easing function of the slider
+                    transition
+
+        Returns
+        -------
+        plotly.graph_objs.layout.slider.Transition
+        """
+        return self["transition"]
+
+    @transition.setter
+    def transition(self, val):
+        self["transition"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not the slider is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position (in normalized coordinates) of the slider.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the slider's horizontal position anchor. This anchor binds
+        the `x` position to the "left", "center" or "right" of the
+        range selector.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position (in normalized coordinates) of the slider.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the slider's vertical position anchor This anchor binds
+        the `y` position to the "top", "middle" or "bottom" of the
+        range selector.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        active
+            Determines which button (by index starting from 0) is
+            considered active.
+        activebgcolor
+            Sets the background color of the slider grip while
+            dragging.
+        bgcolor
+            Sets the background color of the slider.
+        bordercolor
+            Sets the color of the border enclosing the slider.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            slider.
+        currentvalue
+            :class:`plotly.graph_objects.layout.slider.Currentvalue
+            ` instance or dict with compatible properties
+        font
+            Sets the font of the slider step labels.
+        len
+            Sets the length of the slider This measure excludes the
+            padding of both ends. That is, the slider's length is
+            this length minus the padding on both ends.
+        lenmode
+            Determines whether this slider length is set in units
+            of plot "fraction" or in *pixels. Use `len` to set the
+            value.
+        minorticklen
+            Sets the length in pixels of minor step tick marks
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pad
+            Set the padding of the slider component along each
+            side.
+        steps
+            A tuple of
+            :class:`plotly.graph_objects.layout.slider.Step`
+            instances or dicts with compatible properties
+        stepdefaults
+            When used in a template (as
+            layout.template.layout.slider.stepdefaults), sets the
+            default property values to use for elements of
+            layout.slider.steps
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        tickcolor
+            Sets the color of the border enclosing the slider.
+        ticklen
+            Sets the length in pixels of step tick marks
+        tickwidth
+            Sets the tick width (in px).
+        transition
+            :class:`plotly.graph_objects.layout.slider.Transition`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not the slider is visible.
+        x
+            Sets the x position (in normalized coordinates) of the
+            slider.
+        xanchor
+            Sets the slider's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the range selector.
+        y
+            Sets the y position (in normalized coordinates) of the
+            slider.
+        yanchor
+            Sets the slider's vertical position anchor This anchor
+            binds the `y` position to the "top", "middle" or
+            "bottom" of the range selector.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        active=None,
+        activebgcolor=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        currentvalue=None,
+        font=None,
+        len=None,
+        lenmode=None,
+        minorticklen=None,
+        name=None,
+        pad=None,
+        steps=None,
+        stepdefaults=None,
+        templateitemname=None,
+        tickcolor=None,
+        ticklen=None,
+        tickwidth=None,
+        transition=None,
+        visible=None,
+        x=None,
+        xanchor=None,
+        y=None,
+        yanchor=None,
+        **kwargs
+    ):
+        """
+        Construct a new Slider object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Slider`
+        active
+            Determines which button (by index starting from 0) is
+            considered active.
+        activebgcolor
+            Sets the background color of the slider grip while
+            dragging.
+        bgcolor
+            Sets the background color of the slider.
+        bordercolor
+            Sets the color of the border enclosing the slider.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            slider.
+        currentvalue
+            :class:`plotly.graph_objects.layout.slider.Currentvalue
+            ` instance or dict with compatible properties
+        font
+            Sets the font of the slider step labels.
+        len
+            Sets the length of the slider This measure excludes the
+            padding of both ends. That is, the slider's length is
+            this length minus the padding on both ends.
+        lenmode
+            Determines whether this slider length is set in units
+            of plot "fraction" or in *pixels. Use `len` to set the
+            value.
+        minorticklen
+            Sets the length in pixels of minor step tick marks
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pad
+            Set the padding of the slider component along each
+            side.
+        steps
+            A tuple of
+            :class:`plotly.graph_objects.layout.slider.Step`
+            instances or dicts with compatible properties
+        stepdefaults
+            When used in a template (as
+            layout.template.layout.slider.stepdefaults), sets the
+            default property values to use for elements of
+            layout.slider.steps
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        tickcolor
+            Sets the color of the border enclosing the slider.
+        ticklen
+            Sets the length in pixels of step tick marks
+        tickwidth
+            Sets the tick width (in px).
+        transition
+            :class:`plotly.graph_objects.layout.slider.Transition`
+            instance or dict with compatible properties
+        visible
+            Determines whether or not the slider is visible.
+        x
+            Sets the x position (in normalized coordinates) of the
+            slider.
+        xanchor
+            Sets the slider's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the range selector.
+        y
+            Sets the y position (in normalized coordinates) of the
+            slider.
+        yanchor
+            Sets the slider's vertical position anchor This anchor
+            binds the `y` position to the "top", "middle" or
+            "bottom" of the range selector.
+
+        Returns
+        -------
+        Slider
+        """
+        super(Slider, self).__init__("sliders")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Slider 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Slider`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("active", None)
+        _v = active if active is not None else _v
+        if _v is not None:
+            self["active"] = _v
+        _v = arg.pop("activebgcolor", None)
+        _v = activebgcolor if activebgcolor is not None else _v
+        if _v is not None:
+            self["activebgcolor"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("currentvalue", None)
+        _v = currentvalue if currentvalue is not None else _v
+        if _v is not None:
+            self["currentvalue"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("minorticklen", None)
+        _v = minorticklen if minorticklen is not None else _v
+        if _v is not None:
+            self["minorticklen"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("steps", None)
+        _v = steps if steps is not None else _v
+        if _v is not None:
+            self["steps"] = _v
+        _v = arg.pop("stepdefaults", None)
+        _v = stepdefaults if stepdefaults is not None else _v
+        if _v is not None:
+            self["stepdefaults"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("transition", None)
+        _v = transition if transition is not None else _v
+        if _v is not None:
+            self["transition"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_template.py b/packages/python/plotly/plotly/graph_objs/layout/_template.py
new file mode 100644
index 00000000000..af7c0e8b669
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_template.py
@@ -0,0 +1,330 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Template(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.template"
+    _valid_props = {"data", "layout"}
+
+    # data
+    # ----
+    @property
+    def data(self):
+        """
+        The 'data' property is an instance of Data
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.template.Data`
+          - A dict of string/value properties that will be passed
+            to the Data constructor
+    
+            Supported dict properties:
+                
+                area
+                    A tuple of :class:`plotly.graph_objects.Area`
+                    instances or dicts with compatible properties
+                barpolar
+                    A tuple of
+                    :class:`plotly.graph_objects.Barpolar`
+                    instances or dicts with compatible properties
+                bar
+                    A tuple of :class:`plotly.graph_objects.Bar`
+                    instances or dicts with compatible properties
+                box
+                    A tuple of :class:`plotly.graph_objects.Box`
+                    instances or dicts with compatible properties
+                candlestick
+                    A tuple of
+                    :class:`plotly.graph_objects.Candlestick`
+                    instances or dicts with compatible properties
+                carpet
+                    A tuple of :class:`plotly.graph_objects.Carpet`
+                    instances or dicts with compatible properties
+                choroplethmapbox
+                    A tuple of
+                    :class:`plotly.graph_objects.Choroplethmapbox`
+                    instances or dicts with compatible properties
+                choropleth
+                    A tuple of
+                    :class:`plotly.graph_objects.Choropleth`
+                    instances or dicts with compatible properties
+                cone
+                    A tuple of :class:`plotly.graph_objects.Cone`
+                    instances or dicts with compatible properties
+                contourcarpet
+                    A tuple of
+                    :class:`plotly.graph_objects.Contourcarpet`
+                    instances or dicts with compatible properties
+                contour
+                    A tuple of
+                    :class:`plotly.graph_objects.Contour` instances
+                    or dicts with compatible properties
+                densitymapbox
+                    A tuple of
+                    :class:`plotly.graph_objects.Densitymapbox`
+                    instances or dicts with compatible properties
+                funnelarea
+                    A tuple of
+                    :class:`plotly.graph_objects.Funnelarea`
+                    instances or dicts with compatible properties
+                funnel
+                    A tuple of :class:`plotly.graph_objects.Funnel`
+                    instances or dicts with compatible properties
+                heatmapgl
+                    A tuple of
+                    :class:`plotly.graph_objects.Heatmapgl`
+                    instances or dicts with compatible properties
+                heatmap
+                    A tuple of
+                    :class:`plotly.graph_objects.Heatmap` instances
+                    or dicts with compatible properties
+                histogram2dcontour
+                    A tuple of :class:`plotly.graph_objects.Histogr
+                    am2dContour` instances or dicts with compatible
+                    properties
+                histogram2d
+                    A tuple of
+                    :class:`plotly.graph_objects.Histogram2d`
+                    instances or dicts with compatible properties
+                histogram
+                    A tuple of
+                    :class:`plotly.graph_objects.Histogram`
+                    instances or dicts with compatible properties
+                image
+                    A tuple of :class:`plotly.graph_objects.Image`
+                    instances or dicts with compatible properties
+                indicator
+                    A tuple of
+                    :class:`plotly.graph_objects.Indicator`
+                    instances or dicts with compatible properties
+                isosurface
+                    A tuple of
+                    :class:`plotly.graph_objects.Isosurface`
+                    instances or dicts with compatible properties
+                mesh3d
+                    A tuple of :class:`plotly.graph_objects.Mesh3d`
+                    instances or dicts with compatible properties
+                ohlc
+                    A tuple of :class:`plotly.graph_objects.Ohlc`
+                    instances or dicts with compatible properties
+                parcats
+                    A tuple of
+                    :class:`plotly.graph_objects.Parcats` instances
+                    or dicts with compatible properties
+                parcoords
+                    A tuple of
+                    :class:`plotly.graph_objects.Parcoords`
+                    instances or dicts with compatible properties
+                pie
+                    A tuple of :class:`plotly.graph_objects.Pie`
+                    instances or dicts with compatible properties
+                pointcloud
+                    A tuple of
+                    :class:`plotly.graph_objects.Pointcloud`
+                    instances or dicts with compatible properties
+                sankey
+                    A tuple of :class:`plotly.graph_objects.Sankey`
+                    instances or dicts with compatible properties
+                scatter3d
+                    A tuple of
+                    :class:`plotly.graph_objects.Scatter3d`
+                    instances or dicts with compatible properties
+                scattercarpet
+                    A tuple of
+                    :class:`plotly.graph_objects.Scattercarpet`
+                    instances or dicts with compatible properties
+                scattergeo
+                    A tuple of
+                    :class:`plotly.graph_objects.Scattergeo`
+                    instances or dicts with compatible properties
+                scattergl
+                    A tuple of
+                    :class:`plotly.graph_objects.Scattergl`
+                    instances or dicts with compatible properties
+                scattermapbox
+                    A tuple of
+                    :class:`plotly.graph_objects.Scattermapbox`
+                    instances or dicts with compatible properties
+                scatterpolargl
+                    A tuple of
+                    :class:`plotly.graph_objects.Scatterpolargl`
+                    instances or dicts with compatible properties
+                scatterpolar
+                    A tuple of
+                    :class:`plotly.graph_objects.Scatterpolar`
+                    instances or dicts with compatible properties
+                scatter
+                    A tuple of
+                    :class:`plotly.graph_objects.Scatter` instances
+                    or dicts with compatible properties
+                scatterternary
+                    A tuple of
+                    :class:`plotly.graph_objects.Scatterternary`
+                    instances or dicts with compatible properties
+                splom
+                    A tuple of :class:`plotly.graph_objects.Splom`
+                    instances or dicts with compatible properties
+                streamtube
+                    A tuple of
+                    :class:`plotly.graph_objects.Streamtube`
+                    instances or dicts with compatible properties
+                sunburst
+                    A tuple of
+                    :class:`plotly.graph_objects.Sunburst`
+                    instances or dicts with compatible properties
+                surface
+                    A tuple of
+                    :class:`plotly.graph_objects.Surface` instances
+                    or dicts with compatible properties
+                table
+                    A tuple of :class:`plotly.graph_objects.Table`
+                    instances or dicts with compatible properties
+                treemap
+                    A tuple of
+                    :class:`plotly.graph_objects.Treemap` instances
+                    or dicts with compatible properties
+                violin
+                    A tuple of :class:`plotly.graph_objects.Violin`
+                    instances or dicts with compatible properties
+                volume
+                    A tuple of :class:`plotly.graph_objects.Volume`
+                    instances or dicts with compatible properties
+                waterfall
+                    A tuple of
+                    :class:`plotly.graph_objects.Waterfall`
+                    instances or dicts with compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.layout.template.Data
+        """
+        return self["data"]
+
+    @data.setter
+    def data(self, val):
+        self["data"] = val
+
+    # layout
+    # ------
+    @property
+    def layout(self):
+        """
+        The 'layout' property is an instance of Layout
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.Layout`
+          - A dict of string/value properties that will be passed
+            to the Layout constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.template.Layout
+        """
+        return self["layout"]
+
+    @layout.setter
+    def layout(self, val):
+        self["layout"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        data
+            :class:`plotly.graph_objects.layout.template.Data`
+            instance or dict with compatible properties
+        layout
+            :class:`plotly.graph_objects.Layout` instance or dict
+            with compatible properties
+        """
+
+    def __init__(self, arg=None, data=None, layout=None, **kwargs):
+        """
+        Construct a new Template object
+        
+        Default attributes to be applied to the plot. This should be a
+        dict with format: `{'layout': layoutTemplate, 'data':
+        {trace_type: [traceTemplate, ...], ...}}` where
+        `layoutTemplate` is a dict matching the structure of
+        `figure.layout` and `traceTemplate` is a dict matching the
+        structure of the trace with type `trace_type` (e.g. 'scatter').
+        Alternatively, this may be specified as an instance of
+        plotly.graph_objs.layout.Template.  Trace templates are applied
+        cyclically to traces of each type. Container arrays (eg
+        `annotations`) have special handling: An object ending in
+        `defaults` (eg `annotationdefaults`) is applied to each array
+        item. But if an item has a `templateitemname` key we look in
+        the template array for an item with matching `name` and apply
+        that instead. If no matching `name` is found we mark the item
+        invisible. Any named template item not referenced is appended
+        to the end of the array, so this can be used to add a watermark
+        annotation or a logo image, for example. To omit one of these
+        items on the plot, make an item with matching
+        `templateitemname` and `visible: false`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Template`
+        data
+            :class:`plotly.graph_objects.layout.template.Data`
+            instance or dict with compatible properties
+        layout
+            :class:`plotly.graph_objects.Layout` instance or dict
+            with compatible properties
+
+        Returns
+        -------
+        Template
+        """
+        super(Template, self).__init__("template")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Template 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Template`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("data", None)
+        _v = data if data is not None else _v
+        if _v is not None:
+            self["data"] = _v
+        _v = arg.pop("layout", None)
+        _v = layout if layout is not None else _v
+        if _v is not None:
+            self["layout"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_ternary.py b/packages/python/plotly/plotly/graph_objs/layout/_ternary.py
new file mode 100644
index 00000000000..65f62adf904
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_ternary.py
@@ -0,0 +1,979 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Ternary(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.ternary"
+    _valid_props = {"aaxis", "baxis", "bgcolor", "caxis", "domain", "sum", "uirevision"}
+
+    # aaxis
+    # -----
+    @property
+    def aaxis(self):
+        """
+        The 'aaxis' property is an instance of Aaxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.Aaxis`
+          - A dict of string/value properties that will be passed
+            to the Aaxis constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                min
+                    The minimum value visible on this axis. The
+                    maximum is determined by the sum minus the
+                    minimum values of the other two axes. The full
+                    view corresponds to all the minima set to zero.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    ternary.aaxis.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.ternary.aaxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of layout.ternary.aaxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.ternary.aax
+                    is.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.ternary.aaxis.title.font instead. Sets
+                    this axis' title font. Note that the title's
+                    font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `min`, and `title` if in `editable: true`
+                    configuration. Defaults to
+                    `ternary<N>.uirevision`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.Aaxis
+        """
+        return self["aaxis"]
+
+    @aaxis.setter
+    def aaxis(self, val):
+        self["aaxis"] = val
+
+    # baxis
+    # -----
+    @property
+    def baxis(self):
+        """
+        The 'baxis' property is an instance of Baxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.Baxis`
+          - A dict of string/value properties that will be passed
+            to the Baxis constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                min
+                    The minimum value visible on this axis. The
+                    maximum is determined by the sum minus the
+                    minimum values of the other two axes. The full
+                    view corresponds to all the minima set to zero.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    ternary.baxis.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.ternary.baxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of layout.ternary.baxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.ternary.bax
+                    is.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.ternary.baxis.title.font instead. Sets
+                    this axis' title font. Note that the title's
+                    font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `min`, and `title` if in `editable: true`
+                    configuration. Defaults to
+                    `ternary<N>.uirevision`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.Baxis
+        """
+        return self["baxis"]
+
+    @baxis.setter
+    def baxis(self, val):
+        self["baxis"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Set the background color of the subplot
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # caxis
+    # -----
+    @property
+    def caxis(self):
+        """
+        The 'caxis' property is an instance of Caxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.Caxis`
+          - A dict of string/value properties that will be passed
+            to the Caxis constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets default for all colors associated with
+                    this axis all at once: line, font, tick, and
+                    grid colors. Grid color is lightened by
+                    blending this with the plot background
+                    Individual pieces can override this.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                gridcolor
+                    Sets the color of the grid lines.
+                gridwidth
+                    Sets the width (in px) of the grid lines.
+                hoverformat
+                    Sets the hover text formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                layer
+                    Sets the layer on which this axis is displayed.
+                    If *above traces*, this axis is displayed above
+                    all the subplot's traces If *below traces*,
+                    this axis is displayed below all the subplot's
+                    traces, but above the grid lines. Useful when
+                    used together with scatter-like traces with
+                    `cliponaxis` set to False to show markers
+                    and/or text nodes above this axis.
+                linecolor
+                    Sets the axis line color.
+                linewidth
+                    Sets the width (in px) of the axis line.
+                min
+                    The minimum value visible on this axis. The
+                    maximum is determined by the sum minus the
+                    minimum values of the other two axes. The full
+                    view corresponds to all the minima set to zero.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showgrid
+                    Determines whether or not grid lines are drawn.
+                    If True, the grid lines are drawn at every tick
+                    mark.
+                showline
+                    Determines whether or not a line bounding this
+                    axis is drawn.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the tick font.
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.layout.
+                    ternary.caxis.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.lay
+                    out.ternary.caxis.tickformatstopdefaults), sets
+                    the default property values to use for elements
+                    of layout.ternary.caxis.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.layout.ternary.cax
+                    is.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    layout.ternary.caxis.title.font instead. Sets
+                    this axis' title font. Note that the title's
+                    font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                uirevision
+                    Controls persistence of user-driven changes in
+                    axis `min`, and `title` if in `editable: true`
+                    configuration. Defaults to
+                    `ternary<N>.uirevision`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.Caxis
+        """
+        return self["caxis"]
+
+    @caxis.setter
+    def caxis(self, val):
+        self["caxis"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        The 'domain' property is an instance of Domain
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.Domain`
+          - A dict of string/value properties that will be passed
+            to the Domain constructor
+    
+            Supported dict properties:
+                
+                column
+                    If there is a layout grid, use the domain for
+                    this column in the grid for this ternary
+                    subplot .
+                row
+                    If there is a layout grid, use the domain for
+                    this row in the grid for this ternary subplot .
+                x
+                    Sets the horizontal domain of this ternary
+                    subplot (in plot fraction).
+                y
+                    Sets the vertical domain of this ternary
+                    subplot (in plot fraction).
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.Domain
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # sum
+    # ---
+    @property
+    def sum(self):
+        """
+        The number each triplet should sum to, and the maximum range of
+        each axis
+    
+        The 'sum' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sum"]
+
+    @sum.setter
+    def sum(self, val):
+        self["sum"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `min` and
+        `title`, if not overridden in the individual axes. Defaults to
+        `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        aaxis
+            :class:`plotly.graph_objects.layout.ternary.Aaxis`
+            instance or dict with compatible properties
+        baxis
+            :class:`plotly.graph_objects.layout.ternary.Baxis`
+            instance or dict with compatible properties
+        bgcolor
+            Set the background color of the subplot
+        caxis
+            :class:`plotly.graph_objects.layout.ternary.Caxis`
+            instance or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.layout.ternary.Domain`
+            instance or dict with compatible properties
+        sum
+            The number each triplet should sum to, and the maximum
+            range of each axis
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min` and `title`, if not overridden in the individual
+            axes. Defaults to `layout.uirevision`.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        aaxis=None,
+        baxis=None,
+        bgcolor=None,
+        caxis=None,
+        domain=None,
+        sum=None,
+        uirevision=None,
+        **kwargs
+    ):
+        """
+        Construct a new Ternary object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Ternary`
+        aaxis
+            :class:`plotly.graph_objects.layout.ternary.Aaxis`
+            instance or dict with compatible properties
+        baxis
+            :class:`plotly.graph_objects.layout.ternary.Baxis`
+            instance or dict with compatible properties
+        bgcolor
+            Set the background color of the subplot
+        caxis
+            :class:`plotly.graph_objects.layout.ternary.Caxis`
+            instance or dict with compatible properties
+        domain
+            :class:`plotly.graph_objects.layout.ternary.Domain`
+            instance or dict with compatible properties
+        sum
+            The number each triplet should sum to, and the maximum
+            range of each axis
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min` and `title`, if not overridden in the individual
+            axes. Defaults to `layout.uirevision`.
+
+        Returns
+        -------
+        Ternary
+        """
+        super(Ternary, self).__init__("ternary")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Ternary 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Ternary`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("aaxis", None)
+        _v = aaxis if aaxis is not None else _v
+        if _v is not None:
+            self["aaxis"] = _v
+        _v = arg.pop("baxis", None)
+        _v = baxis if baxis is not None else _v
+        if _v is not None:
+            self["baxis"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("caxis", None)
+        _v = caxis if caxis is not None else _v
+        if _v is not None:
+            self["caxis"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("sum", None)
+        _v = sum if sum is not None else _v
+        if _v is not None:
+            self["sum"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_title.py b/packages/python/plotly/plotly/graph_objs/layout/_title.py
new file mode 100644
index 00000000000..fcccc763afc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_title.py
@@ -0,0 +1,477 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.title"
+    _valid_props = {
+        "font",
+        "pad",
+        "text",
+        "x",
+        "xanchor",
+        "xref",
+        "y",
+        "yanchor",
+        "yref",
+    }
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the title font. Note that the title's font used to be
+        customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        Sets the padding of the title. Each padding value only applies
+        when the corresponding `xanchor`/`yanchor` value is set
+        accordingly. E.g. for left padding to take effect, `xanchor`
+        must be set to "left". The same rule applies if
+        `xanchor`/`yanchor` is determined automatically. Padding is
+        muted if the respective anchor value is "middle*/*center".
+    
+        The 'pad' property is an instance of Pad
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.title.Pad`
+          - A dict of string/value properties that will be passed
+            to the Pad constructor
+    
+            Supported dict properties:
+                
+                b
+                    The amount of padding (in px) along the bottom
+                    of the component.
+                l
+                    The amount of padding (in px) on the left side
+                    of the component.
+                r
+                    The amount of padding (in px) on the right side
+                    of the component.
+                t
+                    The amount of padding (in px) along the top of
+                    the component.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.title.Pad
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the plot's title. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position with respect to `xref` in normalized
+        coordinates from 0 (left) to 1 (right).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the title's horizontal alignment with respect to its x
+        position. "left" means that the title starts at x, "right"
+        means that the title ends at x and "center" means that the
+        title's center is at x. "auto" divides `xref` by three and
+        calculates the `xanchor` value automatically based on the value
+        of `x`.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xref
+    # ----
+    @property
+    def xref(self):
+        """
+        Sets the container `x` refers to. "container" spans the entire
+        `width` of the plot. "paper" refers to the width of the
+        plotting area only.
+    
+        The 'xref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['container', 'paper']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xref"]
+
+    @xref.setter
+    def xref(self, val):
+        self["xref"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position with respect to `yref` in normalized
+        coordinates from 0 (bottom) to 1 (top). "auto" places the
+        baseline of the title onto the vertical center of the top
+        margin.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the title's vertical alignment with respect to its y
+        position. "top" means that the title's cap line is at y,
+        "bottom" means that the title's baseline is at y and "middle"
+        means that the title's midline is at y. "auto" divides `yref`
+        by three and calculates the `yanchor` value automatically based
+        on the value of `y`.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # yref
+    # ----
+    @property
+    def yref(self):
+        """
+        Sets the container `y` refers to. "container" spans the entire
+        `height` of the plot. "paper" refers to the height of the
+        plotting area only.
+    
+        The 'yref' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['container', 'paper']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yref"]
+
+    @yref.setter
+    def yref(self, val):
+        self["yref"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets the title font. Note that the title's font used to
+            be customized by the now deprecated `titlefont`
+            attribute.
+        pad
+            Sets the padding of the title. Each padding value only
+            applies when the corresponding `xanchor`/`yanchor`
+            value is set accordingly. E.g. for left padding to take
+            effect, `xanchor` must be set to "left". The same rule
+            applies if `xanchor`/`yanchor` is determined
+            automatically. Padding is muted if the respective
+            anchor value is "middle*/*center".
+        text
+            Sets the plot's title. Note that before the existence
+            of `title.text`, the title's contents used to be
+            defined as the `title` attribute itself. This behavior
+            has been deprecated.
+        x
+            Sets the x position with respect to `xref` in
+            normalized coordinates from 0 (left) to 1 (right).
+        xanchor
+            Sets the title's horizontal alignment with respect to
+            its x position. "left" means that the title starts at
+            x, "right" means that the title ends at x and "center"
+            means that the title's center is at x. "auto" divides
+            `xref` by three and calculates the `xanchor` value
+            automatically based on the value of `x`.
+        xref
+            Sets the container `x` refers to. "container" spans the
+            entire `width` of the plot. "paper" refers to the width
+            of the plotting area only.
+        y
+            Sets the y position with respect to `yref` in
+            normalized coordinates from 0 (bottom) to 1 (top).
+            "auto" places the baseline of the title onto the
+            vertical center of the top margin.
+        yanchor
+            Sets the title's vertical alignment with respect to its
+            y position. "top" means that the title's cap line is at
+            y, "bottom" means that the title's baseline is at y and
+            "middle" means that the title's midline is at y. "auto"
+            divides `yref` by three and calculates the `yanchor`
+            value automatically based on the value of `y`.
+        yref
+            Sets the container `y` refers to. "container" spans the
+            entire `height` of the plot. "paper" refers to the
+            height of the plotting area only.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        font=None,
+        pad=None,
+        text=None,
+        x=None,
+        xanchor=None,
+        xref=None,
+        y=None,
+        yanchor=None,
+        yref=None,
+        **kwargs
+    ):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.Title`
+        font
+            Sets the title font. Note that the title's font used to
+            be customized by the now deprecated `titlefont`
+            attribute.
+        pad
+            Sets the padding of the title. Each padding value only
+            applies when the corresponding `xanchor`/`yanchor`
+            value is set accordingly. E.g. for left padding to take
+            effect, `xanchor` must be set to "left". The same rule
+            applies if `xanchor`/`yanchor` is determined
+            automatically. Padding is muted if the respective
+            anchor value is "middle*/*center".
+        text
+            Sets the plot's title. Note that before the existence
+            of `title.text`, the title's contents used to be
+            defined as the `title` attribute itself. This behavior
+            has been deprecated.
+        x
+            Sets the x position with respect to `xref` in
+            normalized coordinates from 0 (left) to 1 (right).
+        xanchor
+            Sets the title's horizontal alignment with respect to
+            its x position. "left" means that the title starts at
+            x, "right" means that the title ends at x and "center"
+            means that the title's center is at x. "auto" divides
+            `xref` by three and calculates the `xanchor` value
+            automatically based on the value of `x`.
+        xref
+            Sets the container `x` refers to. "container" spans the
+            entire `width` of the plot. "paper" refers to the width
+            of the plotting area only.
+        y
+            Sets the y position with respect to `yref` in
+            normalized coordinates from 0 (bottom) to 1 (top).
+            "auto" places the baseline of the title onto the
+            vertical center of the top margin.
+        yanchor
+            Sets the title's vertical alignment with respect to its
+            y position. "top" means that the title's cap line is at
+            y, "bottom" means that the title's baseline is at y and
+            "middle" means that the title's midline is at y. "auto"
+            divides `yref` by three and calculates the `yanchor`
+            value automatically based on the value of `y`.
+        yref
+            Sets the container `y` refers to. "container" spans the
+            entire `height` of the plot. "paper" refers to the
+            height of the plotting area only.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xref", None)
+        _v = xref if xref is not None else _v
+        if _v is not None:
+            self["xref"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("yref", None)
+        _v = yref if yref is not None else _v
+        if _v is not None:
+            self["yref"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_transition.py b/packages/python/plotly/plotly/graph_objs/layout/_transition.py
new file mode 100644
index 00000000000..07b6f8695ea
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_transition.py
@@ -0,0 +1,175 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Transition(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.transition"
+    _valid_props = {"duration", "easing", "ordering"}
+
+    # duration
+    # --------
+    @property
+    def duration(self):
+        """
+        The duration of the transition, in milliseconds. If equal to
+        zero, updates are synchronous.
+    
+        The 'duration' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["duration"]
+
+    @duration.setter
+    def duration(self, val):
+        self["duration"] = val
+
+    # easing
+    # ------
+    @property
+    def easing(self):
+        """
+        The easing function used for the transition
+    
+        The 'easing' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'quad', 'cubic', 'sin', 'exp', 'circle',
+                'elastic', 'back', 'bounce', 'linear-in', 'quad-in',
+                'cubic-in', 'sin-in', 'exp-in', 'circle-in', 'elastic-in',
+                'back-in', 'bounce-in', 'linear-out', 'quad-out',
+                'cubic-out', 'sin-out', 'exp-out', 'circle-out',
+                'elastic-out', 'back-out', 'bounce-out', 'linear-in-out',
+                'quad-in-out', 'cubic-in-out', 'sin-in-out', 'exp-in-out',
+                'circle-in-out', 'elastic-in-out', 'back-in-out',
+                'bounce-in-out']
+
+        Returns
+        -------
+        Any
+        """
+        return self["easing"]
+
+    @easing.setter
+    def easing(self, val):
+        self["easing"] = val
+
+    # ordering
+    # --------
+    @property
+    def ordering(self):
+        """
+        Determines whether the figure's layout or traces smoothly
+        transitions during updates that make both traces and layout
+        change.
+    
+        The 'ordering' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['layout first', 'traces first']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ordering"]
+
+    @ordering.setter
+    def ordering(self, val):
+        self["ordering"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        duration
+            The duration of the transition, in milliseconds. If
+            equal to zero, updates are synchronous.
+        easing
+            The easing function used for the transition
+        ordering
+            Determines whether the figure's layout or traces
+            smoothly transitions during updates that make both
+            traces and layout change.
+        """
+
+    def __init__(self, arg=None, duration=None, easing=None, ordering=None, **kwargs):
+        """
+        Construct a new Transition object
+        
+        Sets transition options used during Plotly.react updates.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Transition`
+        duration
+            The duration of the transition, in milliseconds. If
+            equal to zero, updates are synchronous.
+        easing
+            The easing function used for the transition
+        ordering
+            Determines whether the figure's layout or traces
+            smoothly transitions during updates that make both
+            traces and layout change.
+
+        Returns
+        -------
+        Transition
+        """
+        super(Transition, self).__init__("transition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Transition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Transition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("duration", None)
+        _v = duration if duration is not None else _v
+        if _v is not None:
+            self["duration"] = _v
+        _v = arg.pop("easing", None)
+        _v = easing if easing is not None else _v
+        if _v is not None:
+            self["easing"] = _v
+        _v = arg.pop("ordering", None)
+        _v = ordering if ordering is not None else _v
+        if _v is not None:
+            self["ordering"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_uniformtext.py b/packages/python/plotly/plotly/graph_objs/layout/_uniformtext.py
new file mode 100644
index 00000000000..64f020e5130
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_uniformtext.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Uniformtext(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.uniformtext"
+    _valid_props = {"minsize", "mode"}
+
+    # minsize
+    # -------
+    @property
+    def minsize(self):
+        """
+        Sets the minimum text size between traces of the same type.
+    
+        The 'minsize' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["minsize"]
+
+    @minsize.setter
+    def minsize(self, val):
+        self["minsize"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Determines how the font size for various text elements are
+        uniformed between each trace type. If the computed text sizes
+        were smaller than the minimum size defined by
+        `uniformtext.minsize` using "hide" option hides the text; and
+        using "show" option shows the text without further downscaling.
+        Please note that if the size defined by `minsize` is greater
+        than the font size defined by trace, then the `minsize` is
+        used.
+    
+        The 'mode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [False, 'hide', 'show']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        minsize
+            Sets the minimum text size between traces of the same
+            type.
+        mode
+            Determines how the font size for various text elements
+            are uniformed between each trace type. If the computed
+            text sizes were smaller than the minimum size defined
+            by `uniformtext.minsize` using "hide" option hides the
+            text; and using "show" option shows the text without
+            further downscaling. Please note that if the size
+            defined by `minsize` is greater than the font size
+            defined by trace, then the `minsize` is used.
+        """
+
+    def __init__(self, arg=None, minsize=None, mode=None, **kwargs):
+        """
+        Construct a new Uniformtext object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Uniformtext`
+        minsize
+            Sets the minimum text size between traces of the same
+            type.
+        mode
+            Determines how the font size for various text elements
+            are uniformed between each trace type. If the computed
+            text sizes were smaller than the minimum size defined
+            by `uniformtext.minsize` using "hide" option hides the
+            text; and using "show" option shows the text without
+            further downscaling. Please note that if the size
+            defined by `minsize` is greater than the font size
+            defined by trace, then the `minsize` is used.
+
+        Returns
+        -------
+        Uniformtext
+        """
+        super(Uniformtext, self).__init__("uniformtext")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Uniformtext 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Uniformtext`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("minsize", None)
+        _v = minsize if minsize is not None else _v
+        if _v is not None:
+            self["minsize"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_updatemenu.py b/packages/python/plotly/plotly/graph_objs/layout/_updatemenu.py
new file mode 100644
index 00000000000..44771902a4c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_updatemenu.py
@@ -0,0 +1,904 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Updatemenu(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.updatemenu"
+    _valid_props = {
+        "active",
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "buttondefaults",
+        "buttons",
+        "direction",
+        "font",
+        "name",
+        "pad",
+        "showactive",
+        "templateitemname",
+        "type",
+        "visible",
+        "x",
+        "xanchor",
+        "y",
+        "yanchor",
+    }
+
+    # active
+    # ------
+    @property
+    def active(self):
+        """
+        Determines which button (by index starting from 0) is
+        considered active.
+    
+        The 'active' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["active"]
+
+    @active.setter
+    def active(self, val):
+        self["active"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the update menu buttons.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the update menu.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the update menu.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # buttons
+    # -------
+    @property
+    def buttons(self):
+        """
+        The 'buttons' property is a tuple of instances of
+        Button that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.updatemenu.Button
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Button constructor
+    
+            Supported dict properties:
+                
+                args
+                    Sets the arguments values to be passed to the
+                    Plotly method set in `method` on click.
+                args2
+                    Sets a 2nd set of `args`, these arguments
+                    values are passed to the Plotly method set in
+                    `method` when clicking this button while in the
+                    active state. Use this to create toggle
+                    buttons.
+                execute
+                    When true, the API method is executed. When
+                    false, all other behaviors are the same and
+                    command execution is skipped. This may be
+                    useful when hooking into, for example, the
+                    `plotly_buttonclicked` method and executing the
+                    API command manually without losing the benefit
+                    of the updatemenu automatically binding to the
+                    state of the plot through the specification of
+                    `method` and `args`.
+                label
+                    Sets the text label to appear on the button.
+                method
+                    Sets the Plotly method to be called on click.
+                    If the `skip` method is used, the API
+                    updatemenu will function as normal but will
+                    perform no API calls and will not bind
+                    automatically to state updates. This may be
+                    used to create a component interface and attach
+                    to updatemenu events manually via JavaScript.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                visible
+                    Determines whether or not this button is
+                    visible.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.updatemenu.Button]
+        """
+        return self["buttons"]
+
+    @buttons.setter
+    def buttons(self, val):
+        self["buttons"] = val
+
+    # buttondefaults
+    # --------------
+    @property
+    def buttondefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.updatemenu.buttondefaults), sets the
+        default property values to use for elements of
+        layout.updatemenu.buttons
+    
+        The 'buttondefaults' property is an instance of Button
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.updatemenu.Button`
+          - A dict of string/value properties that will be passed
+            to the Button constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.updatemenu.Button
+        """
+        return self["buttondefaults"]
+
+    @buttondefaults.setter
+    def buttondefaults(self, val):
+        self["buttondefaults"] = val
+
+    # direction
+    # ---------
+    @property
+    def direction(self):
+        """
+        Determines the direction in which the buttons are laid out,
+        whether in a dropdown menu or a row/column of buttons. For
+        `left` and `up`, the buttons will still appear in left-to-right
+        or top-to-bottom order respectively.
+    
+        The 'direction' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'up', 'down']
+
+        Returns
+        -------
+        Any
+        """
+        return self["direction"]
+
+    @direction.setter
+    def direction(self, val):
+        self["direction"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font of the update menu button text.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.updatemenu.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.updatemenu.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        Sets the padding around the buttons or dropdown menu.
+    
+        The 'pad' property is an instance of Pad
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.updatemenu.Pad`
+          - A dict of string/value properties that will be passed
+            to the Pad constructor
+    
+            Supported dict properties:
+                
+                b
+                    The amount of padding (in px) along the bottom
+                    of the component.
+                l
+                    The amount of padding (in px) on the left side
+                    of the component.
+                r
+                    The amount of padding (in px) on the right side
+                    of the component.
+                t
+                    The amount of padding (in px) along the top of
+                    the component.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.updatemenu.Pad
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # showactive
+    # ----------
+    @property
+    def showactive(self):
+        """
+        Highlights active dropdown item or active button if true.
+    
+        The 'showactive' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showactive"]
+
+    @showactive.setter
+    def showactive(self, val):
+        self["showactive"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines whether the buttons are accessible via a dropdown
+        menu or whether the buttons are stacked horizontally or
+        vertically
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['dropdown', 'buttons']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not the update menu is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position (in normalized coordinates) of the update
+        menu.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the update menu's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the range selector.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position (in normalized coordinates) of the update
+        menu.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the update menu's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the range selector.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        active
+            Determines which button (by index starting from 0) is
+            considered active.
+        bgcolor
+            Sets the background color of the update menu buttons.
+        bordercolor
+            Sets the color of the border enclosing the update menu.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            update menu.
+        buttons
+            A tuple of
+            :class:`plotly.graph_objects.layout.updatemenu.Button`
+            instances or dicts with compatible properties
+        buttondefaults
+            When used in a template (as
+            layout.template.layout.updatemenu.buttondefaults), sets
+            the default property values to use for elements of
+            layout.updatemenu.buttons
+        direction
+            Determines the direction in which the buttons are laid
+            out, whether in a dropdown menu or a row/column of
+            buttons. For `left` and `up`, the buttons will still
+            appear in left-to-right or top-to-bottom order
+            respectively.
+        font
+            Sets the font of the update menu button text.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pad
+            Sets the padding around the buttons or dropdown menu.
+        showactive
+            Highlights active dropdown item or active button if
+            true.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        type
+            Determines whether the buttons are accessible via a
+            dropdown menu or whether the buttons are stacked
+            horizontally or vertically
+        visible
+            Determines whether or not the update menu is visible.
+        x
+            Sets the x position (in normalized coordinates) of the
+            update menu.
+        xanchor
+            Sets the update menu's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the range selector.
+        y
+            Sets the y position (in normalized coordinates) of the
+            update menu.
+        yanchor
+            Sets the update menu's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the range selector.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        active=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        buttons=None,
+        buttondefaults=None,
+        direction=None,
+        font=None,
+        name=None,
+        pad=None,
+        showactive=None,
+        templateitemname=None,
+        type=None,
+        visible=None,
+        x=None,
+        xanchor=None,
+        y=None,
+        yanchor=None,
+        **kwargs
+    ):
+        """
+        Construct a new Updatemenu object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.Updatemenu`
+        active
+            Determines which button (by index starting from 0) is
+            considered active.
+        bgcolor
+            Sets the background color of the update menu buttons.
+        bordercolor
+            Sets the color of the border enclosing the update menu.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            update menu.
+        buttons
+            A tuple of
+            :class:`plotly.graph_objects.layout.updatemenu.Button`
+            instances or dicts with compatible properties
+        buttondefaults
+            When used in a template (as
+            layout.template.layout.updatemenu.buttondefaults), sets
+            the default property values to use for elements of
+            layout.updatemenu.buttons
+        direction
+            Determines the direction in which the buttons are laid
+            out, whether in a dropdown menu or a row/column of
+            buttons. For `left` and `up`, the buttons will still
+            appear in left-to-right or top-to-bottom order
+            respectively.
+        font
+            Sets the font of the update menu button text.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pad
+            Sets the padding around the buttons or dropdown menu.
+        showactive
+            Highlights active dropdown item or active button if
+            true.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        type
+            Determines whether the buttons are accessible via a
+            dropdown menu or whether the buttons are stacked
+            horizontally or vertically
+        visible
+            Determines whether or not the update menu is visible.
+        x
+            Sets the x position (in normalized coordinates) of the
+            update menu.
+        xanchor
+            Sets the update menu's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the range selector.
+        y
+            Sets the y position (in normalized coordinates) of the
+            update menu.
+        yanchor
+            Sets the update menu's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the range selector.
+
+        Returns
+        -------
+        Updatemenu
+        """
+        super(Updatemenu, self).__init__("updatemenus")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.Updatemenu 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.Updatemenu`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("active", None)
+        _v = active if active is not None else _v
+        if _v is not None:
+            self["active"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("buttons", None)
+        _v = buttons if buttons is not None else _v
+        if _v is not None:
+            self["buttons"] = _v
+        _v = arg.pop("buttondefaults", None)
+        _v = buttondefaults if buttondefaults is not None else _v
+        if _v is not None:
+            self["buttondefaults"] = _v
+        _v = arg.pop("direction", None)
+        _v = direction if direction is not None else _v
+        if _v is not None:
+            self["direction"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("showactive", None)
+        _v = showactive if showactive is not None else _v
+        if _v is not None:
+            self["showactive"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_xaxis.py b/packages/python/plotly/plotly/graph_objs/layout/_xaxis.py
new file mode 100644
index 00000000000..ca6660589d5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_xaxis.py
@@ -0,0 +1,3613 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class XAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.xaxis"
+    _valid_props = {
+        "anchor",
+        "automargin",
+        "autorange",
+        "calendar",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "constrain",
+        "constraintoward",
+        "dividercolor",
+        "dividerwidth",
+        "domain",
+        "dtick",
+        "exponentformat",
+        "fixedrange",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "matches",
+        "mirror",
+        "nticks",
+        "overlaying",
+        "position",
+        "range",
+        "rangebreakdefaults",
+        "rangebreaks",
+        "rangemode",
+        "rangeselector",
+        "rangeslider",
+        "scaleanchor",
+        "scaleratio",
+        "separatethousands",
+        "showdividers",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showspikes",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "side",
+        "spikecolor",
+        "spikedash",
+        "spikemode",
+        "spikesnap",
+        "spikethickness",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "tickson",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "type",
+        "uirevision",
+        "visible",
+        "zeroline",
+        "zerolinecolor",
+        "zerolinewidth",
+    }
+
+    # anchor
+    # ------
+    @property
+    def anchor(self):
+        """
+        If set to an opposite-letter axis id (e.g. `x2`, `y`), this
+        axis is bound to the corresponding opposite-letter axis. If set
+        to "free", this axis' position is determined by `position`.
+    
+        The 'anchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['free']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["anchor"]
+
+    @anchor.setter
+    def anchor(self, val):
+        self["anchor"] = val
+
+    # automargin
+    # ----------
+    @property
+    def automargin(self):
+        """
+        Determines whether long tick labels automatically grow the
+        figure margins.
+    
+        The 'automargin' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["automargin"]
+
+    @automargin.setter
+    def automargin(self, val):
+        self["automargin"] = val
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the calendar system to use for `range` and `tick0` if this
+        is a date axis. This does not set the calendar for interpreting
+        data on this axis, that's specified in the trace or via the
+        global `layout.calendar`
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # constrain
+    # ---------
+    @property
+    def constrain(self):
+        """
+        If this axis needs to be compressed (either due to its own
+        `scaleanchor` and `scaleratio` or those of the other axis),
+        determines how that happens: by increasing the "range"
+        (default), or by decreasing the "domain".
+    
+        The 'constrain' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['range', 'domain']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constrain"]
+
+    @constrain.setter
+    def constrain(self, val):
+        self["constrain"] = val
+
+    # constraintoward
+    # ---------------
+    @property
+    def constraintoward(self):
+        """
+        If this axis needs to be compressed (either due to its own
+        `scaleanchor` and `scaleratio` or those of the other axis),
+        determines which direction we push the originally specified
+        plot area. Options are "left", "center" (default), and "right"
+        for x axes, and "top", "middle" (default), and "bottom" for y
+        axes.
+    
+        The 'constraintoward' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constraintoward"]
+
+    @constraintoward.setter
+    def constraintoward(self, val):
+        self["constraintoward"] = val
+
+    # dividercolor
+    # ------------
+    @property
+    def dividercolor(self):
+        """
+        Sets the color of the dividers Only has an effect on
+        "multicategory" axes.
+    
+        The 'dividercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["dividercolor"]
+
+    @dividercolor.setter
+    def dividercolor(self, val):
+        self["dividercolor"] = val
+
+    # dividerwidth
+    # ------------
+    @property
+    def dividerwidth(self):
+        """
+        Sets the width (in px) of the dividers Only has an effect on
+        "multicategory" axes.
+    
+        The 'dividerwidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dividerwidth"]
+
+    @dividerwidth.setter
+    def dividerwidth(self, val):
+        self["dividerwidth"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        Sets the domain of this axis (in plot fraction).
+    
+        The 'domain' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'domain[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'domain[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # fixedrange
+    # ----------
+    @property
+    def fixedrange(self):
+        """
+        Determines whether or not this axis is zoom-able. If true, then
+        zoom is disabled.
+    
+        The 'fixedrange' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["fixedrange"]
+
+    @fixedrange.setter
+    def fixedrange(self, val):
+        self["fixedrange"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # matches
+    # -------
+    @property
+    def matches(self):
+        """
+        If set to another axis id (e.g. `x2`, `y`), the range of this
+        axis will match the range of the corresponding axis in data-
+        coordinates space. Moreover, matching axes share auto-range
+        values, category lists and histogram auto-bins. Note that
+        setting axes simultaneously in both a `scaleanchor` and a
+        `matches` constraint is currently forbidden. Moreover, note
+        that matching axes must have the same `type`.
+    
+        The 'matches' property is an enumeration that may be specified as:
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["matches"]
+
+    @matches.setter
+    def matches(self, val):
+        self["matches"] = val
+
+    # mirror
+    # ------
+    @property
+    def mirror(self):
+        """
+        Determines if the axis lines or/and ticks are mirrored to the
+        opposite side of the plotting area. If True, the axis lines are
+        mirrored. If "ticks", the axis lines and ticks are mirrored. If
+        False, mirroring is disable. If "all", axis lines are mirrored
+        on all shared-axes subplots. If "allticks", axis lines and
+        ticks are mirrored on all shared-axes subplots.
+    
+        The 'mirror' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, 'ticks', False, 'all', 'allticks']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mirror"]
+
+    @mirror.setter
+    def mirror(self, val):
+        self["mirror"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # overlaying
+    # ----------
+    @property
+    def overlaying(self):
+        """
+        If set a same-letter axis id, this axis is overlaid on top of
+        the corresponding same-letter axis, with traces and axes
+        visible for both axes. If False, this axis does not overlay any
+        same-letter axes. In this case, for axes with overlapping
+        domains only the highest-numbered axis will be visible.
+    
+        The 'overlaying' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['free']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["overlaying"]
+
+    @overlaying.setter
+    def overlaying(self, val):
+        self["overlaying"] = val
+
+    # position
+    # --------
+    @property
+    def position(self):
+        """
+        Sets the position of this axis in the plotting space (in
+        normalized coordinates). Only has an effect if `anchor` is set
+        to "free".
+    
+        The 'position' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["position"]
+
+    @position.setter
+    def position(self, val):
+        self["position"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangebreaks
+    # -----------
+    @property
+    def rangebreaks(self):
+        """
+        The 'rangebreaks' property is a tuple of instances of
+        Rangebreak that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.xaxis.Rangebreak
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Rangebreak constructor
+    
+            Supported dict properties:
+                
+                bounds
+                    Sets the lower and upper bounds of this axis
+                    rangebreak. Can be used with `pattern`.
+                dvalue
+                    Sets the size of each `values` item. The
+                    default is one day in milliseconds.
+                enabled
+                    Determines whether this axis rangebreak is
+                    enabled or disabled. Please note that
+                    `rangebreaks` only work for "date" axis type.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                pattern
+                    Determines a pattern on the time line that
+                    generates breaks. If *day of week* - days of
+                    the week in English e.g. 'Sunday' or `sun`
+                    (matching is case-insensitive and considers
+                    only the first three characters), as well as
+                    Sunday-based integers between 0 and 6. If
+                    "hour" - hour (24-hour clock) as decimal
+                    numbers between 0 and 24. for more info.
+                    Examples: - { pattern: 'day of week', bounds:
+                    [6, 1] }  or simply { bounds: ['sat', 'mon'] }
+                    breaks from Saturday to Monday (i.e. skips the
+                    weekends). - { pattern: 'hour', bounds: [17, 8]
+                    }   breaks from 5pm to 8am (i.e. skips non-work
+                    hours).
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                values
+                    Sets the coordinate values corresponding to the
+                    rangebreaks. An alternative to `bounds`. Use
+                    `dvalue` to set the size of the values along
+                    the axis.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.xaxis.Rangebreak]
+        """
+        return self["rangebreaks"]
+
+    @rangebreaks.setter
+    def rangebreaks(self, val):
+        self["rangebreaks"] = val
+
+    # rangebreakdefaults
+    # ------------------
+    @property
+    def rangebreakdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.xaxis.rangebreakdefaults), sets the
+        default property values to use for elements of
+        layout.xaxis.rangebreaks
+    
+        The 'rangebreakdefaults' property is an instance of Rangebreak
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangebreak`
+          - A dict of string/value properties that will be passed
+            to the Rangebreak constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.Rangebreak
+        """
+        return self["rangebreakdefaults"]
+
+    @rangebreakdefaults.setter
+    def rangebreakdefaults(self, val):
+        self["rangebreakdefaults"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data. Applies only to
+        linear axes.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # rangeselector
+    # -------------
+    @property
+    def rangeselector(self):
+        """
+        The 'rangeselector' property is an instance of Rangeselector
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangeselector`
+          - A dict of string/value properties that will be passed
+            to the Rangeselector constructor
+    
+            Supported dict properties:
+                
+                activecolor
+                    Sets the background color of the active range
+                    selector button.
+                bgcolor
+                    Sets the background color of the range selector
+                    buttons.
+                bordercolor
+                    Sets the color of the border enclosing the
+                    range selector.
+                borderwidth
+                    Sets the width (in px) of the border enclosing
+                    the range selector.
+                buttons
+                    Sets the specifications for each buttons. By
+                    default, a range selector comes with no
+                    buttons.
+                buttondefaults
+                    When used in a template (as layout.template.lay
+                    out.xaxis.rangeselector.buttondefaults), sets
+                    the default property values to use for elements
+                    of layout.xaxis.rangeselector.buttons
+                font
+                    Sets the font of the range selector button
+                    text.
+                visible
+                    Determines whether or not this range selector
+                    is visible. Note that range selectors are only
+                    available for x axes of `type` set to or auto-
+                    typed to "date".
+                x
+                    Sets the x position (in normalized coordinates)
+                    of the range selector.
+                xanchor
+                    Sets the range selector's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the range
+                    selector.
+                y
+                    Sets the y position (in normalized coordinates)
+                    of the range selector.
+                yanchor
+                    Sets the range selector's vertical position
+                    anchor This anchor binds the `y` position to
+                    the "top", "middle" or "bottom" of the range
+                    selector.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.Rangeselector
+        """
+        return self["rangeselector"]
+
+    @rangeselector.setter
+    def rangeselector(self, val):
+        self["rangeselector"] = val
+
+    # rangeslider
+    # -----------
+    @property
+    def rangeslider(self):
+        """
+        The 'rangeslider' property is an instance of Rangeslider
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.Rangeslider`
+          - A dict of string/value properties that will be passed
+            to the Rangeslider constructor
+    
+            Supported dict properties:
+                
+                autorange
+                    Determines whether or not the range slider
+                    range is computed in relation to the input
+                    data. If `range` is provided, then `autorange`
+                    is set to False.
+                bgcolor
+                    Sets the background color of the range slider.
+                bordercolor
+                    Sets the border color of the range slider.
+                borderwidth
+                    Sets the border width of the range slider.
+                range
+                    Sets the range of the range slider. If not set,
+                    defaults to the full xaxis range. If the axis
+                    `type` is "log", then you must take the log of
+                    your desired range. If the axis `type` is
+                    "date", it should be date strings, like date
+                    data, though Date objects and unix milliseconds
+                    will be accepted and converted to strings. If
+                    the axis `type` is "category", it should be
+                    numbers, using the scale where each category is
+                    assigned a serial number from zero in the order
+                    it appears.
+                thickness
+                    The height of the range slider as a fraction of
+                    the total plot area height.
+                visible
+                    Determines whether or not the range slider will
+                    be visible. If visible, perpendicular axes will
+                    be set to `fixedrange`
+                yaxis
+                    :class:`plotly.graph_objects.layout.xaxis.range
+                    slider.YAxis` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.Rangeslider
+        """
+        return self["rangeslider"]
+
+    @rangeslider.setter
+    def rangeslider(self, val):
+        self["rangeslider"] = val
+
+    # scaleanchor
+    # -----------
+    @property
+    def scaleanchor(self):
+        """
+        If set to another axis id (e.g. `x2`, `y`), the range of this
+        axis changes together with the range of the corresponding axis
+        such that the scale of pixels per unit is in a constant ratio.
+        Both axes are still zoomable, but when you zoom one, the other
+        will zoom the same amount, keeping a fixed midpoint.
+        `constrain` and `constraintoward` determine how we enforce the
+        constraint. You can chain these, ie `yaxis: {scaleanchor: *x*},
+        xaxis2: {scaleanchor: *y*}` but you can only link axes of the
+        same `type`. The linked axis can have the opposite letter (to
+        constrain the aspect ratio) or the same letter (to match scales
+        across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
+        {scaleanchor: *y*}` or longer) are redundant and the last
+        constraint encountered will be ignored to avoid possible
+        inconsistent constraints via `scaleratio`. Note that setting
+        axes simultaneously in both a `scaleanchor` and a `matches`
+        constraint is currently forbidden.
+    
+        The 'scaleanchor' property is an enumeration that may be specified as:
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["scaleanchor"]
+
+    @scaleanchor.setter
+    def scaleanchor(self, val):
+        self["scaleanchor"] = val
+
+    # scaleratio
+    # ----------
+    @property
+    def scaleratio(self):
+        """
+        If this axis is linked to another by `scaleanchor`, this
+        determines the pixel to unit scale ratio. For example, if this
+        value is 10, then every unit on this axis spans 10 times the
+        number of pixels as a unit on the linked axis. Use this for
+        example to create an elevation profile where the vertical scale
+        is exaggerated a fixed amount with respect to the horizontal.
+    
+        The 'scaleratio' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["scaleratio"]
+
+    @scaleratio.setter
+    def scaleratio(self, val):
+        self["scaleratio"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showdividers
+    # ------------
+    @property
+    def showdividers(self):
+        """
+        Determines whether or not a dividers are drawn between the
+        category levels of this axis. Only has an effect on
+        "multicategory" axes.
+    
+        The 'showdividers' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showdividers"]
+
+    @showdividers.setter
+    def showdividers(self, val):
+        self["showdividers"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showspikes
+    # ----------
+    @property
+    def showspikes(self):
+        """
+        Determines whether or not spikes (aka droplines) are drawn for
+        this axis. Note: This only takes affect when hovermode =
+        closest
+    
+        The 'showspikes' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showspikes"]
+
+    @showspikes.setter
+    def showspikes(self, val):
+        self["showspikes"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines whether a x (y) axis is positioned at the "bottom"
+        ("left") or "top" ("right") of the plotting area.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'bottom', 'left', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # spikecolor
+    # ----------
+    @property
+    def spikecolor(self):
+        """
+        Sets the spike color. If undefined, will use the series color
+    
+        The 'spikecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["spikecolor"]
+
+    @spikecolor.setter
+    def spikecolor(self, val):
+        self["spikecolor"] = val
+
+    # spikedash
+    # ---------
+    @property
+    def spikedash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'spikedash' property is a string and must be specified as:
+          - One of the following strings:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["spikedash"]
+
+    @spikedash.setter
+    def spikedash(self, val):
+        self["spikedash"] = val
+
+    # spikemode
+    # ---------
+    @property
+    def spikemode(self):
+        """
+        Determines the drawing mode for the spike line If "toaxis", the
+        line is drawn from the data point to the axis the  series is
+        plotted on. If "across", the line is drawn across the entire
+        plot area, and supercedes "toaxis". If "marker", then a marker
+        dot is drawn on the axis the series is plotted on
+    
+        The 'spikemode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['toaxis', 'across', 'marker'] joined with '+' characters
+            (e.g. 'toaxis+across')
+
+        Returns
+        -------
+        Any
+        """
+        return self["spikemode"]
+
+    @spikemode.setter
+    def spikemode(self, val):
+        self["spikemode"] = val
+
+    # spikesnap
+    # ---------
+    @property
+    def spikesnap(self):
+        """
+        Determines whether spikelines are stuck to the cursor or to the
+        closest datapoints.
+    
+        The 'spikesnap' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['data', 'cursor', 'hovered data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["spikesnap"]
+
+    @spikesnap.setter
+    def spikesnap(self, val):
+        self["spikesnap"] = val
+
+    # spikethickness
+    # --------------
+    @property
+    def spikethickness(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'spikethickness' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["spikethickness"]
+
+    @spikethickness.setter
+    def spikethickness(self, val):
+        self["spikethickness"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.xaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.xaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.xaxis.tickformatstopdefaults), sets the
+        default property values to use for elements of
+        layout.xaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # tickson
+    # -------
+    @property
+    def tickson(self):
+        """
+        Determines where ticks and grid lines are drawn with respect to
+        their corresponding tick labels. Only has an effect for axes of
+        `type` "category" or "multicategory". When set to "boundaries",
+        ticks and grid lines are drawn half a category to the
+        left/bottom of labels.
+    
+        The 'tickson' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['labels', 'boundaries']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickson"]
+
+    @tickson.setter
+    def tickson(self, val):
+        self["tickson"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                standoff
+                    Sets the standoff distance (in px) between the
+                    axis labels and the title text The default
+                    value is a function of the axis tick labels,
+                    the title `font.size` and the axis `linewidth`.
+                    Note that the axis title position is always
+                    constrained within the margins, so the actual
+                    standoff distance is always less than the set
+                    or default value. By setting `standoff` and
+                    turning on `automargin`, plotly.js will push
+                    the margins to fit the axis title at given
+                    standoff distance.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.xaxis.title.font instead. Sets
+        this axis' title font. Note that the title's font used to be
+        customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'log', 'date', 'category',
+                'multicategory']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `range`,
+        `autorange`, and `title` if in `editable: true` configuration.
+        Defaults to `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # zeroline
+    # --------
+    @property
+    def zeroline(self):
+        """
+        Determines whether or not a line is drawn at along the 0 value
+        of this axis. If True, the zero line is drawn on top of the
+        grid lines.
+    
+        The 'zeroline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zeroline"]
+
+    @zeroline.setter
+    def zeroline(self, val):
+        self["zeroline"] = val
+
+    # zerolinecolor
+    # -------------
+    @property
+    def zerolinecolor(self):
+        """
+        Sets the line color of the zero line.
+    
+        The 'zerolinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["zerolinecolor"]
+
+    @zerolinecolor.setter
+    def zerolinecolor(self, val):
+        self["zerolinecolor"] = val
+
+    # zerolinewidth
+    # -------------
+    @property
+    def zerolinewidth(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'zerolinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zerolinewidth"]
+
+    @zerolinewidth.setter
+    def zerolinewidth(self, val):
+        self["zerolinewidth"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        anchor
+            If set to an opposite-letter axis id (e.g. `x2`, `y`),
+            this axis is bound to the corresponding opposite-letter
+            axis. If set to "free", this axis' position is
+            determined by `position`.
+        automargin
+            Determines whether long tick labels automatically grow
+            the figure margins.
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        constrain
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines how that happens: by increasing
+            the "range" (default), or by decreasing the "domain".
+        constraintoward
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines which direction we push the
+            originally specified plot area. Options are "left",
+            "center" (default), and "right" for x axes, and "top",
+            "middle" (default), and "bottom" for y axes.
+        dividercolor
+            Sets the color of the dividers Only has an effect on
+            "multicategory" axes.
+        dividerwidth
+            Sets the width (in px) of the dividers Only has an
+            effect on "multicategory" axes.
+        domain
+            Sets the domain of this axis (in plot fraction).
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        matches
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis will match the range of the corresponding
+            axis in data-coordinates space. Moreover, matching axes
+            share auto-range values, category lists and histogram
+            auto-bins. Note that setting axes simultaneously in
+            both a `scaleanchor` and a `matches` constraint is
+            currently forbidden. Moreover, note that matching axes
+            must have the same `type`.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        overlaying
+            If set a same-letter axis id, this axis is overlaid on
+            top of the corresponding same-letter axis, with traces
+            and axes visible for both axes. If False, this axis
+            does not overlay any same-letter axes. In this case,
+            for axes with overlapping domains only the highest-
+            numbered axis will be visible.
+        position
+            Sets the position of this axis in the plotting space
+            (in normalized coordinates). Only has an effect if
+            `anchor` is set to "free".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangebreaks
+            A tuple of
+            :class:`plotly.graph_objects.layout.xaxis.Rangebreak`
+            instances or dicts with compatible properties
+        rangebreakdefaults
+            When used in a template (as
+            layout.template.layout.xaxis.rangebreakdefaults), sets
+            the default property values to use for elements of
+            layout.xaxis.rangebreaks
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        rangeselector
+            :class:`plotly.graph_objects.layout.xaxis.Rangeselector
+            ` instance or dict with compatible properties
+        rangeslider
+            :class:`plotly.graph_objects.layout.xaxis.Rangeslider`
+            instance or dict with compatible properties
+        scaleanchor
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis changes together with the range of the
+            corresponding axis such that the scale of pixels per
+            unit is in a constant ratio. Both axes are still
+            zoomable, but when you zoom one, the other will zoom
+            the same amount, keeping a fixed midpoint. `constrain`
+            and `constraintoward` determine how we enforce the
+            constraint. You can chain these, ie `yaxis:
+            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
+            can only link axes of the same `type`. The linked axis
+            can have the opposite letter (to constrain the aspect
+            ratio) or the same letter (to match scales across
+            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
+            {scaleanchor: *y*}` or longer) are redundant and the
+            last constraint encountered will be ignored to avoid
+            possible inconsistent constraints via `scaleratio`.
+            Note that setting axes simultaneously in both a
+            `scaleanchor` and a `matches` constraint is currently
+            forbidden.
+        scaleratio
+            If this axis is linked to another by `scaleanchor`,
+            this determines the pixel to unit scale ratio. For
+            example, if this value is 10, then every unit on this
+            axis spans 10 times the number of pixels as a unit on
+            the linked axis. Use this for example to create an
+            elevation profile where the vertical scale is
+            exaggerated a fixed amount with respect to the
+            horizontal.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showdividers
+            Determines whether or not a dividers are drawn between
+            the category levels of this axis. Only has an effect on
+            "multicategory" axes.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Determines whether or not spikes (aka droplines) are
+            drawn for this axis. Note: This only takes affect when
+            hovermode = closest
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        side
+            Determines whether a x (y) axis is positioned at the
+            "bottom" ("left") or "top" ("right") of the plotting
+            area.
+        spikecolor
+            Sets the spike color. If undefined, will use the series
+            color
+        spikedash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        spikemode
+            Determines the drawing mode for the spike line If
+            "toaxis", the line is drawn from the data point to the
+            axis the  series is plotted on. If "across", the line
+            is drawn across the entire plot area, and supercedes
+            "toaxis". If "marker", then a marker dot is drawn on
+            the axis the series is plotted on
+        spikesnap
+            Determines whether spikelines are stuck to the cursor
+            or to the closest datapoints.
+        spikethickness
+            Sets the width (in px) of the zero line.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.xaxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as
+            layout.template.layout.xaxis.tickformatstopdefaults),
+            sets the default property values to use for elements of
+            layout.xaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        tickson
+            Determines where ticks and grid lines are drawn with
+            respect to their corresponding tick labels. Only has an
+            effect for axes of `type` "category" or
+            "multicategory". When set to "boundaries", ticks and
+            grid lines are drawn half a category to the left/bottom
+            of labels.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.xaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.xaxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `range`, `autorange`, and `title` if in `editable:
+            true` configuration. Defaults to `layout.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        anchor=None,
+        automargin=None,
+        autorange=None,
+        calendar=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        constrain=None,
+        constraintoward=None,
+        dividercolor=None,
+        dividerwidth=None,
+        domain=None,
+        dtick=None,
+        exponentformat=None,
+        fixedrange=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        matches=None,
+        mirror=None,
+        nticks=None,
+        overlaying=None,
+        position=None,
+        range=None,
+        rangebreaks=None,
+        rangebreakdefaults=None,
+        rangemode=None,
+        rangeselector=None,
+        rangeslider=None,
+        scaleanchor=None,
+        scaleratio=None,
+        separatethousands=None,
+        showdividers=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showspikes=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        side=None,
+        spikecolor=None,
+        spikedash=None,
+        spikemode=None,
+        spikesnap=None,
+        spikethickness=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        tickson=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        type=None,
+        uirevision=None,
+        visible=None,
+        zeroline=None,
+        zerolinecolor=None,
+        zerolinewidth=None,
+        **kwargs
+    ):
+        """
+        Construct a new XAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.XAxis`
+        anchor
+            If set to an opposite-letter axis id (e.g. `x2`, `y`),
+            this axis is bound to the corresponding opposite-letter
+            axis. If set to "free", this axis' position is
+            determined by `position`.
+        automargin
+            Determines whether long tick labels automatically grow
+            the figure margins.
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        constrain
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines how that happens: by increasing
+            the "range" (default), or by decreasing the "domain".
+        constraintoward
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines which direction we push the
+            originally specified plot area. Options are "left",
+            "center" (default), and "right" for x axes, and "top",
+            "middle" (default), and "bottom" for y axes.
+        dividercolor
+            Sets the color of the dividers Only has an effect on
+            "multicategory" axes.
+        dividerwidth
+            Sets the width (in px) of the dividers Only has an
+            effect on "multicategory" axes.
+        domain
+            Sets the domain of this axis (in plot fraction).
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        matches
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis will match the range of the corresponding
+            axis in data-coordinates space. Moreover, matching axes
+            share auto-range values, category lists and histogram
+            auto-bins. Note that setting axes simultaneously in
+            both a `scaleanchor` and a `matches` constraint is
+            currently forbidden. Moreover, note that matching axes
+            must have the same `type`.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        overlaying
+            If set a same-letter axis id, this axis is overlaid on
+            top of the corresponding same-letter axis, with traces
+            and axes visible for both axes. If False, this axis
+            does not overlay any same-letter axes. In this case,
+            for axes with overlapping domains only the highest-
+            numbered axis will be visible.
+        position
+            Sets the position of this axis in the plotting space
+            (in normalized coordinates). Only has an effect if
+            `anchor` is set to "free".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangebreaks
+            A tuple of
+            :class:`plotly.graph_objects.layout.xaxis.Rangebreak`
+            instances or dicts with compatible properties
+        rangebreakdefaults
+            When used in a template (as
+            layout.template.layout.xaxis.rangebreakdefaults), sets
+            the default property values to use for elements of
+            layout.xaxis.rangebreaks
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        rangeselector
+            :class:`plotly.graph_objects.layout.xaxis.Rangeselector
+            ` instance or dict with compatible properties
+        rangeslider
+            :class:`plotly.graph_objects.layout.xaxis.Rangeslider`
+            instance or dict with compatible properties
+        scaleanchor
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis changes together with the range of the
+            corresponding axis such that the scale of pixels per
+            unit is in a constant ratio. Both axes are still
+            zoomable, but when you zoom one, the other will zoom
+            the same amount, keeping a fixed midpoint. `constrain`
+            and `constraintoward` determine how we enforce the
+            constraint. You can chain these, ie `yaxis:
+            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
+            can only link axes of the same `type`. The linked axis
+            can have the opposite letter (to constrain the aspect
+            ratio) or the same letter (to match scales across
+            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
+            {scaleanchor: *y*}` or longer) are redundant and the
+            last constraint encountered will be ignored to avoid
+            possible inconsistent constraints via `scaleratio`.
+            Note that setting axes simultaneously in both a
+            `scaleanchor` and a `matches` constraint is currently
+            forbidden.
+        scaleratio
+            If this axis is linked to another by `scaleanchor`,
+            this determines the pixel to unit scale ratio. For
+            example, if this value is 10, then every unit on this
+            axis spans 10 times the number of pixels as a unit on
+            the linked axis. Use this for example to create an
+            elevation profile where the vertical scale is
+            exaggerated a fixed amount with respect to the
+            horizontal.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showdividers
+            Determines whether or not a dividers are drawn between
+            the category levels of this axis. Only has an effect on
+            "multicategory" axes.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Determines whether or not spikes (aka droplines) are
+            drawn for this axis. Note: This only takes affect when
+            hovermode = closest
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        side
+            Determines whether a x (y) axis is positioned at the
+            "bottom" ("left") or "top" ("right") of the plotting
+            area.
+        spikecolor
+            Sets the spike color. If undefined, will use the series
+            color
+        spikedash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        spikemode
+            Determines the drawing mode for the spike line If
+            "toaxis", the line is drawn from the data point to the
+            axis the  series is plotted on. If "across", the line
+            is drawn across the entire plot area, and supercedes
+            "toaxis". If "marker", then a marker dot is drawn on
+            the axis the series is plotted on
+        spikesnap
+            Determines whether spikelines are stuck to the cursor
+            or to the closest datapoints.
+        spikethickness
+            Sets the width (in px) of the zero line.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.xaxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as
+            layout.template.layout.xaxis.tickformatstopdefaults),
+            sets the default property values to use for elements of
+            layout.xaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        tickson
+            Determines where ticks and grid lines are drawn with
+            respect to their corresponding tick labels. Only has an
+            effect for axes of `type` "category" or
+            "multicategory". When set to "boundaries", ticks and
+            grid lines are drawn half a category to the left/bottom
+            of labels.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.xaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.xaxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `range`, `autorange`, and `title` if in `editable:
+            true` configuration. Defaults to `layout.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        XAxis
+        """
+        super(XAxis, self).__init__("xaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.XAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.XAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("anchor", None)
+        _v = anchor if anchor is not None else _v
+        if _v is not None:
+            self["anchor"] = _v
+        _v = arg.pop("automargin", None)
+        _v = automargin if automargin is not None else _v
+        if _v is not None:
+            self["automargin"] = _v
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("constrain", None)
+        _v = constrain if constrain is not None else _v
+        if _v is not None:
+            self["constrain"] = _v
+        _v = arg.pop("constraintoward", None)
+        _v = constraintoward if constraintoward is not None else _v
+        if _v is not None:
+            self["constraintoward"] = _v
+        _v = arg.pop("dividercolor", None)
+        _v = dividercolor if dividercolor is not None else _v
+        if _v is not None:
+            self["dividercolor"] = _v
+        _v = arg.pop("dividerwidth", None)
+        _v = dividerwidth if dividerwidth is not None else _v
+        if _v is not None:
+            self["dividerwidth"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("fixedrange", None)
+        _v = fixedrange if fixedrange is not None else _v
+        if _v is not None:
+            self["fixedrange"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("matches", None)
+        _v = matches if matches is not None else _v
+        if _v is not None:
+            self["matches"] = _v
+        _v = arg.pop("mirror", None)
+        _v = mirror if mirror is not None else _v
+        if _v is not None:
+            self["mirror"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("overlaying", None)
+        _v = overlaying if overlaying is not None else _v
+        if _v is not None:
+            self["overlaying"] = _v
+        _v = arg.pop("position", None)
+        _v = position if position is not None else _v
+        if _v is not None:
+            self["position"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangebreaks", None)
+        _v = rangebreaks if rangebreaks is not None else _v
+        if _v is not None:
+            self["rangebreaks"] = _v
+        _v = arg.pop("rangebreakdefaults", None)
+        _v = rangebreakdefaults if rangebreakdefaults is not None else _v
+        if _v is not None:
+            self["rangebreakdefaults"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("rangeselector", None)
+        _v = rangeselector if rangeselector is not None else _v
+        if _v is not None:
+            self["rangeselector"] = _v
+        _v = arg.pop("rangeslider", None)
+        _v = rangeslider if rangeslider is not None else _v
+        if _v is not None:
+            self["rangeslider"] = _v
+        _v = arg.pop("scaleanchor", None)
+        _v = scaleanchor if scaleanchor is not None else _v
+        if _v is not None:
+            self["scaleanchor"] = _v
+        _v = arg.pop("scaleratio", None)
+        _v = scaleratio if scaleratio is not None else _v
+        if _v is not None:
+            self["scaleratio"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showdividers", None)
+        _v = showdividers if showdividers is not None else _v
+        if _v is not None:
+            self["showdividers"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showspikes", None)
+        _v = showspikes if showspikes is not None else _v
+        if _v is not None:
+            self["showspikes"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("spikecolor", None)
+        _v = spikecolor if spikecolor is not None else _v
+        if _v is not None:
+            self["spikecolor"] = _v
+        _v = arg.pop("spikedash", None)
+        _v = spikedash if spikedash is not None else _v
+        if _v is not None:
+            self["spikedash"] = _v
+        _v = arg.pop("spikemode", None)
+        _v = spikemode if spikemode is not None else _v
+        if _v is not None:
+            self["spikemode"] = _v
+        _v = arg.pop("spikesnap", None)
+        _v = spikesnap if spikesnap is not None else _v
+        if _v is not None:
+            self["spikesnap"] = _v
+        _v = arg.pop("spikethickness", None)
+        _v = spikethickness if spikethickness is not None else _v
+        if _v is not None:
+            self["spikethickness"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("tickson", None)
+        _v = tickson if tickson is not None else _v
+        if _v is not None:
+            self["tickson"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("zeroline", None)
+        _v = zeroline if zeroline is not None else _v
+        if _v is not None:
+            self["zeroline"] = _v
+        _v = arg.pop("zerolinecolor", None)
+        _v = zerolinecolor if zerolinecolor is not None else _v
+        if _v is not None:
+            self["zerolinecolor"] = _v
+        _v = arg.pop("zerolinewidth", None)
+        _v = zerolinewidth if zerolinewidth is not None else _v
+        if _v is not None:
+            self["zerolinewidth"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/_yaxis.py b/packages/python/plotly/plotly/graph_objs/layout/_yaxis.py
new file mode 100644
index 00000000000..f35f379f6cb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/_yaxis.py
@@ -0,0 +1,3462 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class YAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout"
+    _path_str = "layout.yaxis"
+    _valid_props = {
+        "anchor",
+        "automargin",
+        "autorange",
+        "calendar",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "constrain",
+        "constraintoward",
+        "dividercolor",
+        "dividerwidth",
+        "domain",
+        "dtick",
+        "exponentformat",
+        "fixedrange",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "matches",
+        "mirror",
+        "nticks",
+        "overlaying",
+        "position",
+        "range",
+        "rangebreakdefaults",
+        "rangebreaks",
+        "rangemode",
+        "scaleanchor",
+        "scaleratio",
+        "separatethousands",
+        "showdividers",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showspikes",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "side",
+        "spikecolor",
+        "spikedash",
+        "spikemode",
+        "spikesnap",
+        "spikethickness",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "tickson",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "type",
+        "uirevision",
+        "visible",
+        "zeroline",
+        "zerolinecolor",
+        "zerolinewidth",
+    }
+
+    # anchor
+    # ------
+    @property
+    def anchor(self):
+        """
+        If set to an opposite-letter axis id (e.g. `x2`, `y`), this
+        axis is bound to the corresponding opposite-letter axis. If set
+        to "free", this axis' position is determined by `position`.
+    
+        The 'anchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['free']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["anchor"]
+
+    @anchor.setter
+    def anchor(self, val):
+        self["anchor"] = val
+
+    # automargin
+    # ----------
+    @property
+    def automargin(self):
+        """
+        Determines whether long tick labels automatically grow the
+        figure margins.
+    
+        The 'automargin' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["automargin"]
+
+    @automargin.setter
+    def automargin(self, val):
+        self["automargin"] = val
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the calendar system to use for `range` and `tick0` if this
+        is a date axis. This does not set the calendar for interpreting
+        data on this axis, that's specified in the trace or via the
+        global `layout.calendar`
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # constrain
+    # ---------
+    @property
+    def constrain(self):
+        """
+        If this axis needs to be compressed (either due to its own
+        `scaleanchor` and `scaleratio` or those of the other axis),
+        determines how that happens: by increasing the "range"
+        (default), or by decreasing the "domain".
+    
+        The 'constrain' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['range', 'domain']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constrain"]
+
+    @constrain.setter
+    def constrain(self, val):
+        self["constrain"] = val
+
+    # constraintoward
+    # ---------------
+    @property
+    def constraintoward(self):
+        """
+        If this axis needs to be compressed (either due to its own
+        `scaleanchor` and `scaleratio` or those of the other axis),
+        determines which direction we push the originally specified
+        plot area. Options are "left", "center" (default), and "right"
+        for x axes, and "top", "middle" (default), and "bottom" for y
+        axes.
+    
+        The 'constraintoward' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["constraintoward"]
+
+    @constraintoward.setter
+    def constraintoward(self, val):
+        self["constraintoward"] = val
+
+    # dividercolor
+    # ------------
+    @property
+    def dividercolor(self):
+        """
+        Sets the color of the dividers Only has an effect on
+        "multicategory" axes.
+    
+        The 'dividercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["dividercolor"]
+
+    @dividercolor.setter
+    def dividercolor(self, val):
+        self["dividercolor"] = val
+
+    # dividerwidth
+    # ------------
+    @property
+    def dividerwidth(self):
+        """
+        Sets the width (in px) of the dividers Only has an effect on
+        "multicategory" axes.
+    
+        The 'dividerwidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dividerwidth"]
+
+    @dividerwidth.setter
+    def dividerwidth(self, val):
+        self["dividerwidth"] = val
+
+    # domain
+    # ------
+    @property
+    def domain(self):
+        """
+        Sets the domain of this axis (in plot fraction).
+    
+        The 'domain' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'domain[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'domain[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["domain"]
+
+    @domain.setter
+    def domain(self, val):
+        self["domain"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # fixedrange
+    # ----------
+    @property
+    def fixedrange(self):
+        """
+        Determines whether or not this axis is zoom-able. If true, then
+        zoom is disabled.
+    
+        The 'fixedrange' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["fixedrange"]
+
+    @fixedrange.setter
+    def fixedrange(self, val):
+        self["fixedrange"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # matches
+    # -------
+    @property
+    def matches(self):
+        """
+        If set to another axis id (e.g. `x2`, `y`), the range of this
+        axis will match the range of the corresponding axis in data-
+        coordinates space. Moreover, matching axes share auto-range
+        values, category lists and histogram auto-bins. Note that
+        setting axes simultaneously in both a `scaleanchor` and a
+        `matches` constraint is currently forbidden. Moreover, note
+        that matching axes must have the same `type`.
+    
+        The 'matches' property is an enumeration that may be specified as:
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["matches"]
+
+    @matches.setter
+    def matches(self, val):
+        self["matches"] = val
+
+    # mirror
+    # ------
+    @property
+    def mirror(self):
+        """
+        Determines if the axis lines or/and ticks are mirrored to the
+        opposite side of the plotting area. If True, the axis lines are
+        mirrored. If "ticks", the axis lines and ticks are mirrored. If
+        False, mirroring is disable. If "all", axis lines are mirrored
+        on all shared-axes subplots. If "allticks", axis lines and
+        ticks are mirrored on all shared-axes subplots.
+    
+        The 'mirror' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, 'ticks', False, 'all', 'allticks']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mirror"]
+
+    @mirror.setter
+    def mirror(self, val):
+        self["mirror"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # overlaying
+    # ----------
+    @property
+    def overlaying(self):
+        """
+        If set a same-letter axis id, this axis is overlaid on top of
+        the corresponding same-letter axis, with traces and axes
+        visible for both axes. If False, this axis does not overlay any
+        same-letter axes. In this case, for axes with overlapping
+        domains only the highest-numbered axis will be visible.
+    
+        The 'overlaying' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['free']
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["overlaying"]
+
+    @overlaying.setter
+    def overlaying(self, val):
+        self["overlaying"] = val
+
+    # position
+    # --------
+    @property
+    def position(self):
+        """
+        Sets the position of this axis in the plotting space (in
+        normalized coordinates). Only has an effect if `anchor` is set
+        to "free".
+    
+        The 'position' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["position"]
+
+    @position.setter
+    def position(self, val):
+        self["position"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangebreaks
+    # -----------
+    @property
+    def rangebreaks(self):
+        """
+        The 'rangebreaks' property is a tuple of instances of
+        Rangebreak that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.yaxis.Rangebreak
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Rangebreak constructor
+    
+            Supported dict properties:
+                
+                bounds
+                    Sets the lower and upper bounds of this axis
+                    rangebreak. Can be used with `pattern`.
+                dvalue
+                    Sets the size of each `values` item. The
+                    default is one day in milliseconds.
+                enabled
+                    Determines whether this axis rangebreak is
+                    enabled or disabled. Please note that
+                    `rangebreaks` only work for "date" axis type.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                pattern
+                    Determines a pattern on the time line that
+                    generates breaks. If *day of week* - days of
+                    the week in English e.g. 'Sunday' or `sun`
+                    (matching is case-insensitive and considers
+                    only the first three characters), as well as
+                    Sunday-based integers between 0 and 6. If
+                    "hour" - hour (24-hour clock) as decimal
+                    numbers between 0 and 24. for more info.
+                    Examples: - { pattern: 'day of week', bounds:
+                    [6, 1] }  or simply { bounds: ['sat', 'mon'] }
+                    breaks from Saturday to Monday (i.e. skips the
+                    weekends). - { pattern: 'hour', bounds: [17, 8]
+                    }   breaks from 5pm to 8am (i.e. skips non-work
+                    hours).
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                values
+                    Sets the coordinate values corresponding to the
+                    rangebreaks. An alternative to `bounds`. Use
+                    `dvalue` to set the size of the values along
+                    the axis.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.yaxis.Rangebreak]
+        """
+        return self["rangebreaks"]
+
+    @rangebreaks.setter
+    def rangebreaks(self, val):
+        self["rangebreaks"] = val
+
+    # rangebreakdefaults
+    # ------------------
+    @property
+    def rangebreakdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.yaxis.rangebreakdefaults), sets the
+        default property values to use for elements of
+        layout.yaxis.rangebreaks
+    
+        The 'rangebreakdefaults' property is an instance of Rangebreak
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.yaxis.Rangebreak`
+          - A dict of string/value properties that will be passed
+            to the Rangebreak constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.yaxis.Rangebreak
+        """
+        return self["rangebreakdefaults"]
+
+    @rangebreakdefaults.setter
+    def rangebreakdefaults(self, val):
+        self["rangebreakdefaults"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data. Applies only to
+        linear axes.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # scaleanchor
+    # -----------
+    @property
+    def scaleanchor(self):
+        """
+        If set to another axis id (e.g. `x2`, `y`), the range of this
+        axis changes together with the range of the corresponding axis
+        such that the scale of pixels per unit is in a constant ratio.
+        Both axes are still zoomable, but when you zoom one, the other
+        will zoom the same amount, keeping a fixed midpoint.
+        `constrain` and `constraintoward` determine how we enforce the
+        constraint. You can chain these, ie `yaxis: {scaleanchor: *x*},
+        xaxis2: {scaleanchor: *y*}` but you can only link axes of the
+        same `type`. The linked axis can have the opposite letter (to
+        constrain the aspect ratio) or the same letter (to match scales
+        across subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
+        {scaleanchor: *y*}` or longer) are redundant and the last
+        constraint encountered will be ignored to avoid possible
+        inconsistent constraints via `scaleratio`. Note that setting
+        axes simultaneously in both a `scaleanchor` and a `matches`
+        constraint is currently forbidden.
+    
+        The 'scaleanchor' property is an enumeration that may be specified as:
+          - A string that matches one of the following regular expressions:
+                ['^x([2-9]|[1-9][0-9]+)?$', '^y([2-9]|[1-9][0-9]+)?$']
+
+        Returns
+        -------
+        Any
+        """
+        return self["scaleanchor"]
+
+    @scaleanchor.setter
+    def scaleanchor(self, val):
+        self["scaleanchor"] = val
+
+    # scaleratio
+    # ----------
+    @property
+    def scaleratio(self):
+        """
+        If this axis is linked to another by `scaleanchor`, this
+        determines the pixel to unit scale ratio. For example, if this
+        value is 10, then every unit on this axis spans 10 times the
+        number of pixels as a unit on the linked axis. Use this for
+        example to create an elevation profile where the vertical scale
+        is exaggerated a fixed amount with respect to the horizontal.
+    
+        The 'scaleratio' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["scaleratio"]
+
+    @scaleratio.setter
+    def scaleratio(self, val):
+        self["scaleratio"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showdividers
+    # ------------
+    @property
+    def showdividers(self):
+        """
+        Determines whether or not a dividers are drawn between the
+        category levels of this axis. Only has an effect on
+        "multicategory" axes.
+    
+        The 'showdividers' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showdividers"]
+
+    @showdividers.setter
+    def showdividers(self, val):
+        self["showdividers"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showspikes
+    # ----------
+    @property
+    def showspikes(self):
+        """
+        Determines whether or not spikes (aka droplines) are drawn for
+        this axis. Note: This only takes affect when hovermode =
+        closest
+    
+        The 'showspikes' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showspikes"]
+
+    @showspikes.setter
+    def showspikes(self, val):
+        self["showspikes"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines whether a x (y) axis is positioned at the "bottom"
+        ("left") or "top" ("right") of the plotting area.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'bottom', 'left', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # spikecolor
+    # ----------
+    @property
+    def spikecolor(self):
+        """
+        Sets the spike color. If undefined, will use the series color
+    
+        The 'spikecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["spikecolor"]
+
+    @spikecolor.setter
+    def spikecolor(self, val):
+        self["spikecolor"] = val
+
+    # spikedash
+    # ---------
+    @property
+    def spikedash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'spikedash' property is a string and must be specified as:
+          - One of the following strings:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["spikedash"]
+
+    @spikedash.setter
+    def spikedash(self, val):
+        self["spikedash"] = val
+
+    # spikemode
+    # ---------
+    @property
+    def spikemode(self):
+        """
+        Determines the drawing mode for the spike line If "toaxis", the
+        line is drawn from the data point to the axis the  series is
+        plotted on. If "across", the line is drawn across the entire
+        plot area, and supercedes "toaxis". If "marker", then a marker
+        dot is drawn on the axis the series is plotted on
+    
+        The 'spikemode' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['toaxis', 'across', 'marker'] joined with '+' characters
+            (e.g. 'toaxis+across')
+
+        Returns
+        -------
+        Any
+        """
+        return self["spikemode"]
+
+    @spikemode.setter
+    def spikemode(self, val):
+        self["spikemode"] = val
+
+    # spikesnap
+    # ---------
+    @property
+    def spikesnap(self):
+        """
+        Determines whether spikelines are stuck to the cursor or to the
+        closest datapoints.
+    
+        The 'spikesnap' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['data', 'cursor', 'hovered data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["spikesnap"]
+
+    @spikesnap.setter
+    def spikesnap(self, val):
+        self["spikesnap"] = val
+
+    # spikethickness
+    # --------------
+    @property
+    def spikethickness(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'spikethickness' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["spikethickness"]
+
+    @spikethickness.setter
+    def spikethickness(self, val):
+        self["spikethickness"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.yaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.yaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.yaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.yaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.yaxis.tickformatstopdefaults), sets the
+        default property values to use for elements of
+        layout.yaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.yaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # tickson
+    # -------
+    @property
+    def tickson(self):
+        """
+        Determines where ticks and grid lines are drawn with respect to
+        their corresponding tick labels. Only has an effect for axes of
+        `type` "category" or "multicategory". When set to "boundaries",
+        ticks and grid lines are drawn half a category to the
+        left/bottom of labels.
+    
+        The 'tickson' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['labels', 'boundaries']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickson"]
+
+    @tickson.setter
+    def tickson(self, val):
+        self["tickson"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.yaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                standoff
+                    Sets the standoff distance (in px) between the
+                    axis labels and the title text The default
+                    value is a function of the axis tick labels,
+                    the title `font.size` and the axis `linewidth`.
+                    Note that the axis title position is always
+                    constrained within the margins, so the actual
+                    standoff distance is always less than the set
+                    or default value. By setting `standoff` and
+                    turning on `automargin`, plotly.js will push
+                    the margins to fit the axis title at given
+                    standoff distance.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.yaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.yaxis.title.font instead. Sets
+        this axis' title font. Note that the title's font used to be
+        customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'log', 'date', 'category',
+                'multicategory']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `range`,
+        `autorange`, and `title` if in `editable: true` configuration.
+        Defaults to `layout.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # zeroline
+    # --------
+    @property
+    def zeroline(self):
+        """
+        Determines whether or not a line is drawn at along the 0 value
+        of this axis. If True, the zero line is drawn on top of the
+        grid lines.
+    
+        The 'zeroline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zeroline"]
+
+    @zeroline.setter
+    def zeroline(self, val):
+        self["zeroline"] = val
+
+    # zerolinecolor
+    # -------------
+    @property
+    def zerolinecolor(self):
+        """
+        Sets the line color of the zero line.
+    
+        The 'zerolinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["zerolinecolor"]
+
+    @zerolinecolor.setter
+    def zerolinecolor(self, val):
+        self["zerolinecolor"] = val
+
+    # zerolinewidth
+    # -------------
+    @property
+    def zerolinewidth(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'zerolinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zerolinewidth"]
+
+    @zerolinewidth.setter
+    def zerolinewidth(self, val):
+        self["zerolinewidth"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        anchor
+            If set to an opposite-letter axis id (e.g. `x2`, `y`),
+            this axis is bound to the corresponding opposite-letter
+            axis. If set to "free", this axis' position is
+            determined by `position`.
+        automargin
+            Determines whether long tick labels automatically grow
+            the figure margins.
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        constrain
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines how that happens: by increasing
+            the "range" (default), or by decreasing the "domain".
+        constraintoward
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines which direction we push the
+            originally specified plot area. Options are "left",
+            "center" (default), and "right" for x axes, and "top",
+            "middle" (default), and "bottom" for y axes.
+        dividercolor
+            Sets the color of the dividers Only has an effect on
+            "multicategory" axes.
+        dividerwidth
+            Sets the width (in px) of the dividers Only has an
+            effect on "multicategory" axes.
+        domain
+            Sets the domain of this axis (in plot fraction).
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        matches
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis will match the range of the corresponding
+            axis in data-coordinates space. Moreover, matching axes
+            share auto-range values, category lists and histogram
+            auto-bins. Note that setting axes simultaneously in
+            both a `scaleanchor` and a `matches` constraint is
+            currently forbidden. Moreover, note that matching axes
+            must have the same `type`.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        overlaying
+            If set a same-letter axis id, this axis is overlaid on
+            top of the corresponding same-letter axis, with traces
+            and axes visible for both axes. If False, this axis
+            does not overlay any same-letter axes. In this case,
+            for axes with overlapping domains only the highest-
+            numbered axis will be visible.
+        position
+            Sets the position of this axis in the plotting space
+            (in normalized coordinates). Only has an effect if
+            `anchor` is set to "free".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangebreaks
+            A tuple of
+            :class:`plotly.graph_objects.layout.yaxis.Rangebreak`
+            instances or dicts with compatible properties
+        rangebreakdefaults
+            When used in a template (as
+            layout.template.layout.yaxis.rangebreakdefaults), sets
+            the default property values to use for elements of
+            layout.yaxis.rangebreaks
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        scaleanchor
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis changes together with the range of the
+            corresponding axis such that the scale of pixels per
+            unit is in a constant ratio. Both axes are still
+            zoomable, but when you zoom one, the other will zoom
+            the same amount, keeping a fixed midpoint. `constrain`
+            and `constraintoward` determine how we enforce the
+            constraint. You can chain these, ie `yaxis:
+            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
+            can only link axes of the same `type`. The linked axis
+            can have the opposite letter (to constrain the aspect
+            ratio) or the same letter (to match scales across
+            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
+            {scaleanchor: *y*}` or longer) are redundant and the
+            last constraint encountered will be ignored to avoid
+            possible inconsistent constraints via `scaleratio`.
+            Note that setting axes simultaneously in both a
+            `scaleanchor` and a `matches` constraint is currently
+            forbidden.
+        scaleratio
+            If this axis is linked to another by `scaleanchor`,
+            this determines the pixel to unit scale ratio. For
+            example, if this value is 10, then every unit on this
+            axis spans 10 times the number of pixels as a unit on
+            the linked axis. Use this for example to create an
+            elevation profile where the vertical scale is
+            exaggerated a fixed amount with respect to the
+            horizontal.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showdividers
+            Determines whether or not a dividers are drawn between
+            the category levels of this axis. Only has an effect on
+            "multicategory" axes.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Determines whether or not spikes (aka droplines) are
+            drawn for this axis. Note: This only takes affect when
+            hovermode = closest
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        side
+            Determines whether a x (y) axis is positioned at the
+            "bottom" ("left") or "top" ("right") of the plotting
+            area.
+        spikecolor
+            Sets the spike color. If undefined, will use the series
+            color
+        spikedash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        spikemode
+            Determines the drawing mode for the spike line If
+            "toaxis", the line is drawn from the data point to the
+            axis the  series is plotted on. If "across", the line
+            is drawn across the entire plot area, and supercedes
+            "toaxis". If "marker", then a marker dot is drawn on
+            the axis the series is plotted on
+        spikesnap
+            Determines whether spikelines are stuck to the cursor
+            or to the closest datapoints.
+        spikethickness
+            Sets the width (in px) of the zero line.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.yaxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as
+            layout.template.layout.yaxis.tickformatstopdefaults),
+            sets the default property values to use for elements of
+            layout.yaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        tickson
+            Determines where ticks and grid lines are drawn with
+            respect to their corresponding tick labels. Only has an
+            effect for axes of `type` "category" or
+            "multicategory". When set to "boundaries", ticks and
+            grid lines are drawn half a category to the left/bottom
+            of labels.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.yaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.yaxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `range`, `autorange`, and `title` if in `editable:
+            true` configuration. Defaults to `layout.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        anchor=None,
+        automargin=None,
+        autorange=None,
+        calendar=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        constrain=None,
+        constraintoward=None,
+        dividercolor=None,
+        dividerwidth=None,
+        domain=None,
+        dtick=None,
+        exponentformat=None,
+        fixedrange=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        matches=None,
+        mirror=None,
+        nticks=None,
+        overlaying=None,
+        position=None,
+        range=None,
+        rangebreaks=None,
+        rangebreakdefaults=None,
+        rangemode=None,
+        scaleanchor=None,
+        scaleratio=None,
+        separatethousands=None,
+        showdividers=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showspikes=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        side=None,
+        spikecolor=None,
+        spikedash=None,
+        spikemode=None,
+        spikesnap=None,
+        spikethickness=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        tickson=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        type=None,
+        uirevision=None,
+        visible=None,
+        zeroline=None,
+        zerolinecolor=None,
+        zerolinewidth=None,
+        **kwargs
+    ):
+        """
+        Construct a new YAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.YAxis`
+        anchor
+            If set to an opposite-letter axis id (e.g. `x2`, `y`),
+            this axis is bound to the corresponding opposite-letter
+            axis. If set to "free", this axis' position is
+            determined by `position`.
+        automargin
+            Determines whether long tick labels automatically grow
+            the figure margins.
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        constrain
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines how that happens: by increasing
+            the "range" (default), or by decreasing the "domain".
+        constraintoward
+            If this axis needs to be compressed (either due to its
+            own `scaleanchor` and `scaleratio` or those of the
+            other axis), determines which direction we push the
+            originally specified plot area. Options are "left",
+            "center" (default), and "right" for x axes, and "top",
+            "middle" (default), and "bottom" for y axes.
+        dividercolor
+            Sets the color of the dividers Only has an effect on
+            "multicategory" axes.
+        dividerwidth
+            Sets the width (in px) of the dividers Only has an
+            effect on "multicategory" axes.
+        domain
+            Sets the domain of this axis (in plot fraction).
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        fixedrange
+            Determines whether or not this axis is zoom-able. If
+            true, then zoom is disabled.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        matches
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis will match the range of the corresponding
+            axis in data-coordinates space. Moreover, matching axes
+            share auto-range values, category lists and histogram
+            auto-bins. Note that setting axes simultaneously in
+            both a `scaleanchor` and a `matches` constraint is
+            currently forbidden. Moreover, note that matching axes
+            must have the same `type`.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        overlaying
+            If set a same-letter axis id, this axis is overlaid on
+            top of the corresponding same-letter axis, with traces
+            and axes visible for both axes. If False, this axis
+            does not overlay any same-letter axes. In this case,
+            for axes with overlapping domains only the highest-
+            numbered axis will be visible.
+        position
+            Sets the position of this axis in the plotting space
+            (in normalized coordinates). Only has an effect if
+            `anchor` is set to "free".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangebreaks
+            A tuple of
+            :class:`plotly.graph_objects.layout.yaxis.Rangebreak`
+            instances or dicts with compatible properties
+        rangebreakdefaults
+            When used in a template (as
+            layout.template.layout.yaxis.rangebreakdefaults), sets
+            the default property values to use for elements of
+            layout.yaxis.rangebreaks
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        scaleanchor
+            If set to another axis id (e.g. `x2`, `y`), the range
+            of this axis changes together with the range of the
+            corresponding axis such that the scale of pixels per
+            unit is in a constant ratio. Both axes are still
+            zoomable, but when you zoom one, the other will zoom
+            the same amount, keeping a fixed midpoint. `constrain`
+            and `constraintoward` determine how we enforce the
+            constraint. You can chain these, ie `yaxis:
+            {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}` but you
+            can only link axes of the same `type`. The linked axis
+            can have the opposite letter (to constrain the aspect
+            ratio) or the same letter (to match scales across
+            subplots). Loops (`yaxis: {scaleanchor: *x*}, xaxis:
+            {scaleanchor: *y*}` or longer) are redundant and the
+            last constraint encountered will be ignored to avoid
+            possible inconsistent constraints via `scaleratio`.
+            Note that setting axes simultaneously in both a
+            `scaleanchor` and a `matches` constraint is currently
+            forbidden.
+        scaleratio
+            If this axis is linked to another by `scaleanchor`,
+            this determines the pixel to unit scale ratio. For
+            example, if this value is 10, then every unit on this
+            axis spans 10 times the number of pixels as a unit on
+            the linked axis. Use this for example to create an
+            elevation profile where the vertical scale is
+            exaggerated a fixed amount with respect to the
+            horizontal.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showdividers
+            Determines whether or not a dividers are drawn between
+            the category levels of this axis. Only has an effect on
+            "multicategory" axes.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Determines whether or not spikes (aka droplines) are
+            drawn for this axis. Note: This only takes affect when
+            hovermode = closest
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        side
+            Determines whether a x (y) axis is positioned at the
+            "bottom" ("left") or "top" ("right") of the plotting
+            area.
+        spikecolor
+            Sets the spike color. If undefined, will use the series
+            color
+        spikedash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        spikemode
+            Determines the drawing mode for the spike line If
+            "toaxis", the line is drawn from the data point to the
+            axis the  series is plotted on. If "across", the line
+            is drawn across the entire plot area, and supercedes
+            "toaxis". If "marker", then a marker dot is drawn on
+            the axis the series is plotted on
+        spikesnap
+            Determines whether spikelines are stuck to the cursor
+            or to the closest datapoints.
+        spikethickness
+            Sets the width (in px) of the zero line.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.yaxis.Ti
+            ckformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as
+            layout.template.layout.yaxis.tickformatstopdefaults),
+            sets the default property values to use for elements of
+            layout.yaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        tickson
+            Determines where ticks and grid lines are drawn with
+            respect to their corresponding tick labels. Only has an
+            effect for axes of `type` "category" or
+            "multicategory". When set to "boundaries", ticks and
+            grid lines are drawn half a category to the left/bottom
+            of labels.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.yaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.yaxis.title.font instead.
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `range`, `autorange`, and `title` if in `editable:
+            true` configuration. Defaults to `layout.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        YAxis
+        """
+        super(YAxis, self).__init__("yaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.YAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.YAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("anchor", None)
+        _v = anchor if anchor is not None else _v
+        if _v is not None:
+            self["anchor"] = _v
+        _v = arg.pop("automargin", None)
+        _v = automargin if automargin is not None else _v
+        if _v is not None:
+            self["automargin"] = _v
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("constrain", None)
+        _v = constrain if constrain is not None else _v
+        if _v is not None:
+            self["constrain"] = _v
+        _v = arg.pop("constraintoward", None)
+        _v = constraintoward if constraintoward is not None else _v
+        if _v is not None:
+            self["constraintoward"] = _v
+        _v = arg.pop("dividercolor", None)
+        _v = dividercolor if dividercolor is not None else _v
+        if _v is not None:
+            self["dividercolor"] = _v
+        _v = arg.pop("dividerwidth", None)
+        _v = dividerwidth if dividerwidth is not None else _v
+        if _v is not None:
+            self["dividerwidth"] = _v
+        _v = arg.pop("domain", None)
+        _v = domain if domain is not None else _v
+        if _v is not None:
+            self["domain"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("fixedrange", None)
+        _v = fixedrange if fixedrange is not None else _v
+        if _v is not None:
+            self["fixedrange"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("matches", None)
+        _v = matches if matches is not None else _v
+        if _v is not None:
+            self["matches"] = _v
+        _v = arg.pop("mirror", None)
+        _v = mirror if mirror is not None else _v
+        if _v is not None:
+            self["mirror"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("overlaying", None)
+        _v = overlaying if overlaying is not None else _v
+        if _v is not None:
+            self["overlaying"] = _v
+        _v = arg.pop("position", None)
+        _v = position if position is not None else _v
+        if _v is not None:
+            self["position"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangebreaks", None)
+        _v = rangebreaks if rangebreaks is not None else _v
+        if _v is not None:
+            self["rangebreaks"] = _v
+        _v = arg.pop("rangebreakdefaults", None)
+        _v = rangebreakdefaults if rangebreakdefaults is not None else _v
+        if _v is not None:
+            self["rangebreakdefaults"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("scaleanchor", None)
+        _v = scaleanchor if scaleanchor is not None else _v
+        if _v is not None:
+            self["scaleanchor"] = _v
+        _v = arg.pop("scaleratio", None)
+        _v = scaleratio if scaleratio is not None else _v
+        if _v is not None:
+            self["scaleratio"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showdividers", None)
+        _v = showdividers if showdividers is not None else _v
+        if _v is not None:
+            self["showdividers"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showspikes", None)
+        _v = showspikes if showspikes is not None else _v
+        if _v is not None:
+            self["showspikes"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("spikecolor", None)
+        _v = spikecolor if spikecolor is not None else _v
+        if _v is not None:
+            self["spikecolor"] = _v
+        _v = arg.pop("spikedash", None)
+        _v = spikedash if spikedash is not None else _v
+        if _v is not None:
+            self["spikedash"] = _v
+        _v = arg.pop("spikemode", None)
+        _v = spikemode if spikemode is not None else _v
+        if _v is not None:
+            self["spikemode"] = _v
+        _v = arg.pop("spikesnap", None)
+        _v = spikesnap if spikesnap is not None else _v
+        if _v is not None:
+            self["spikesnap"] = _v
+        _v = arg.pop("spikethickness", None)
+        _v = spikethickness if spikethickness is not None else _v
+        if _v is not None:
+            self["spikethickness"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("tickson", None)
+        _v = tickson if tickson is not None else _v
+        if _v is not None:
+            self["tickson"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("zeroline", None)
+        _v = zeroline if zeroline is not None else _v
+        if _v is not None:
+            self["zeroline"] = _v
+        _v = arg.pop("zerolinecolor", None)
+        _v = zerolinecolor if zerolinecolor is not None else _v
+        if _v is not None:
+            self["zerolinecolor"] = _v
+        _v = arg.pop("zerolinewidth", None)
+        _v = zerolinewidth if zerolinewidth is not None else _v
+        if _v is not None:
+            self["zerolinewidth"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/annotation/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/annotation/__init__.py
index 2b4a3356eca..c0bc5e9b5fa 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/annotation/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/annotation/__init__.py
@@ -1,508 +1,12 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseLayoutHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover label. By default uses
-        the annotation's `bgcolor` made opaque, or white if it was
-        transparent.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover label. By default uses
-        either dark grey or white, for maximum contrast with
-        `hoverlabel.bgcolor`.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the hover label text font. By default uses the global
-        hover font and size, with color from `hoverlabel.bordercolor`.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.annotation.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.annotation.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.annotation"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the background color of the hover label. By
-            default uses the annotation's `bgcolor` made opaque, or
-            white if it was transparent.
-        bordercolor
-            Sets the border color of the hover label. By default
-            uses either dark grey or white, for maximum contrast
-            with `hoverlabel.bgcolor`.
-        font
-            Sets the hover label text font. By default uses the
-            global hover font and size, with color from
-            `hoverlabel.bordercolor`.
-        """
-
-    def __init__(self, arg=None, bgcolor=None, bordercolor=None, font=None, **kwargs):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.annotation.Hoverlabel`
-        bgcolor
-            Sets the background color of the hover label. By
-            default uses the annotation's `bgcolor` made opaque, or
-            white if it was transparent.
-        bordercolor
-            Sets the border color of the hover label. By default
-            uses either dark grey or white, for maximum contrast
-            with `hoverlabel.bgcolor`.
-        font
-            Sets the hover label text font. By default uses the
-            global hover font and size, with color from
-            `hoverlabel.bordercolor`.
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.annotation.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.annotation.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.annotation import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.annotation"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the annotation text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.annotation.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.annotation.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.annotation.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.annotation import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font", "Hoverlabel", "hoverlabel"]
-
-from plotly.graph_objs.layout.annotation import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._hoverlabel import Hoverlabel
+    from ._font import Font
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".hoverlabel"], ["._hoverlabel.Hoverlabel", "._font.Font"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/annotation/_font.py b/packages/python/plotly/plotly/graph_objs/layout/annotation/_font.py
new file mode 100644
index 00000000000..f74565b49e6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/annotation/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.annotation"
+    _path_str = "layout.annotation.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the annotation text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.annotation.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.annotation.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.annotation.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/annotation/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/layout/annotation/_hoverlabel.py
new file mode 100644
index 00000000000..e9c1e41a40b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/annotation/_hoverlabel.py
@@ -0,0 +1,275 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.annotation"
+    _path_str = "layout.annotation.hoverlabel"
+    _valid_props = {"bgcolor", "bordercolor", "font"}
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover label. By default uses
+        the annotation's `bgcolor` made opaque, or white if it was
+        transparent.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover label. By default uses
+        either dark grey or white, for maximum contrast with
+        `hoverlabel.bgcolor`.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the hover label text font. By default uses the global
+        hover font and size, with color from `hoverlabel.bordercolor`.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.annotation.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.annotation.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the background color of the hover label. By
+            default uses the annotation's `bgcolor` made opaque, or
+            white if it was transparent.
+        bordercolor
+            Sets the border color of the hover label. By default
+            uses either dark grey or white, for maximum contrast
+            with `hoverlabel.bgcolor`.
+        font
+            Sets the hover label text font. By default uses the
+            global hover font and size, with color from
+            `hoverlabel.bordercolor`.
+        """
+
+    def __init__(self, arg=None, bgcolor=None, bordercolor=None, font=None, **kwargs):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.annotation.Hoverlabel`
+        bgcolor
+            Sets the background color of the hover label. By
+            default uses the annotation's `bgcolor` made opaque, or
+            white if it was transparent.
+        bordercolor
+            Sets the border color of the hover label. By default
+            uses either dark grey or white, for maximum contrast
+            with `hoverlabel.bgcolor`.
+        font
+            Sets the hover label text font. By default uses the
+            global hover font and size, with color from
+            `hoverlabel.bordercolor`.
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.annotation.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.annotation.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/__init__.py
index 4b2323f3822..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.annotation.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the hover label text font. By default uses the global
-        hover font and size, with color from `hoverlabel.bordercolor`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.annotat
-            ion.hoverlabel.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.annotation.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.annotation.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.annotation.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/_font.py
new file mode 100644
index 00000000000..bd179ab7a2d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/annotation/hoverlabel/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.annotation.hoverlabel"
+    _path_str = "layout.annotation.hoverlabel.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the hover label text font. By default uses the global
+        hover font and size, with color from `hoverlabel.bordercolor`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.annotat
+            ion.hoverlabel.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.annotation.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.annotation.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/__init__.py
index 502cd8a3ab9..48d0fee5e0d 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/__init__.py
@@ -1,1872 +1,11 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorBar(_BaseLayoutHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.coloraxis.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.layout.coloraxis.co
-        lorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        layout.coloraxis.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.coloraxis.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.coloraxis.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use layout.coloraxis.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.coloraxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.coloraxi
-            s.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.colo
-            raxis.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            layout.coloraxis.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.coloraxis.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            layout.coloraxis.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            layout.coloraxis.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.coloraxis.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.coloraxi
-            s.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.colo
-            raxis.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            layout.coloraxis.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.coloraxis.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            layout.coloraxis.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            layout.coloraxis.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.coloraxis.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.coloraxis.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.coloraxis import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "colorbar"]
-
-from plotly.graph_objs.layout.coloraxis import colorbar
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/_colorbar.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/_colorbar.py
new file mode 100644
index 00000000000..9d83593ffe3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/_colorbar.py
@@ -0,0 +1,1943 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.coloraxis"
+    _path_str = "layout.coloraxis.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.coloraxis.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.layout.coloraxis.co
+        lorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        layout.coloraxis.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.coloraxis.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.coloraxis.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use layout.coloraxis.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.coloraxi
+            s.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.colo
+            raxis.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            layout.coloraxis.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.coloraxis.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            layout.coloraxis.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            layout.coloraxis.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.coloraxis.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.coloraxi
+            s.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.colo
+            raxis.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            layout.coloraxis.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.coloraxis.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            layout.coloraxis.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            layout.coloraxis.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.coloraxis.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.coloraxis.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/__init__.py
index 1235bfbd18d..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.coloraxis.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.coloraxis.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.colorax
-            is.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.coloraxis.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.coloraxis.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.colorax
-            is.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.coloraxis.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.coloraxis.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.colorax
-            is.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.coloraxis.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.coloraxis.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_tickfont.py
new file mode 100644
index 00000000000..f393deefb7e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.coloraxis.colorbar"
+    _path_str = "layout.coloraxis.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.colorax
+            is.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..029460acceb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.coloraxis.colorbar"
+    _path_str = "layout.coloraxis.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.colorax
+            is.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_title.py
new file mode 100644
index 00000000000..8dbdf0aebd7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.coloraxis.colorbar"
+    _path_str = "layout.coloraxis.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.coloraxis.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.colorax
+            is.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/__init__.py
index 63efc223ac2..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.coloraxis.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.colorax
-            is.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.coloraxis.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/_font.py
new file mode 100644
index 00000000000..bf0df1eb6ec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/coloraxis/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.coloraxis.colorbar.title"
+    _path_str = "layout.coloraxis.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.colorax
+            is.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.coloraxis.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.coloraxis.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/geo/__init__.py
index 7faff27c96d..f27358f372e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/geo/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/__init__.py
@@ -1,1197 +1,23 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Projection(_BaseLayoutHierarchyType):
-
-    # parallels
-    # ---------
-    @property
-    def parallels(self):
-        """
-        For conic projection types only. Sets the parallels (tangent,
-        secant) where the cone intersects the sphere.
-    
-        The 'parallels' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'parallels[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'parallels[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["parallels"]
-
-    @parallels.setter
-    def parallels(self, val):
-        self["parallels"] = val
-
-    # rotation
-    # --------
-    @property
-    def rotation(self):
-        """
-        The 'rotation' property is an instance of Rotation
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.geo.projection.Rotation`
-          - A dict of string/value properties that will be passed
-            to the Rotation constructor
-    
-            Supported dict properties:
-                
-                lat
-                    Rotates the map along meridians (in degrees
-                    North).
-                lon
-                    Rotates the map along parallels (in degrees
-                    East). Defaults to the center of the
-                    `lonaxis.range` values.
-                roll
-                    Roll the map (in degrees) For example, a roll
-                    of 180 makes the map appear upside down.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.geo.projection.Rotation
-        """
-        return self["rotation"]
-
-    @rotation.setter
-    def rotation(self, val):
-        self["rotation"] = val
-
-    # scale
-    # -----
-    @property
-    def scale(self):
-        """
-        Zooms in or out on the map view. A scale of 1 corresponds to
-        the largest zoom level that fits the map's lon and lat ranges.
-    
-        The 'scale' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["scale"]
-
-    @scale.setter
-    def scale(self, val):
-        self["scale"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the projection type.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['equirectangular', 'mercator', 'orthographic', 'natural
-                earth', 'kavrayskiy7', 'miller', 'robinson', 'eckert4',
-                'azimuthal equal area', 'azimuthal equidistant', 'conic
-                equal area', 'conic conformal', 'conic equidistant',
-                'gnomonic', 'stereographic', 'mollweide', 'hammer',
-                'transverse mercator', 'albers usa', 'winkel tripel',
-                'aitoff', 'sinusoidal']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.geo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        parallels
-            For conic projection types only. Sets the parallels
-            (tangent, secant) where the cone intersects the sphere.
-        rotation
-            :class:`plotly.graph_objects.layout.geo.projection.Rota
-            tion` instance or dict with compatible properties
-        scale
-            Zooms in or out on the map view. A scale of 1
-            corresponds to the largest zoom level that fits the
-            map's lon and lat ranges.
-        type
-            Sets the projection type.
-        """
-
-    def __init__(
-        self, arg=None, parallels=None, rotation=None, scale=None, type=None, **kwargs
-    ):
-        """
-        Construct a new Projection object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.geo.Projection`
-        parallels
-            For conic projection types only. Sets the parallels
-            (tangent, secant) where the cone intersects the sphere.
-        rotation
-            :class:`plotly.graph_objects.layout.geo.projection.Rota
-            tion` instance or dict with compatible properties
-        scale
-            Zooms in or out on the map view. A scale of 1
-            corresponds to the largest zoom level that fits the
-            map's lon and lat ranges.
-        type
-            Sets the projection type.
-
-        Returns
-        -------
-        Projection
-        """
-        super(Projection, self).__init__("projection")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.geo.Projection 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.geo.Projection`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.geo import projection as v_projection
-
-        # Initialize validators
-        # ---------------------
-        self._validators["parallels"] = v_projection.ParallelsValidator()
-        self._validators["rotation"] = v_projection.RotationValidator()
-        self._validators["scale"] = v_projection.ScaleValidator()
-        self._validators["type"] = v_projection.TypeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("parallels", None)
-        self["parallels"] = parallels if parallels is not None else _v
-        _v = arg.pop("rotation", None)
-        self["rotation"] = rotation if rotation is not None else _v
-        _v = arg.pop("scale", None)
-        self["scale"] = scale if scale is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Lonaxis(_BaseLayoutHierarchyType):
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the graticule's longitude/latitude tick step.
-    
-        The 'dtick' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the graticule's stroke color.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the graticule's stroke width (in px).
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis (in degrees), sets the map's
-        clipped coordinates.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Sets whether or not graticule are shown on the map.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the graticule's starting tick longitude/latitude.
-    
-        The 'tick0' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.geo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtick
-            Sets the graticule's longitude/latitude tick step.
-        gridcolor
-            Sets the graticule's stroke color.
-        gridwidth
-            Sets the graticule's stroke width (in px).
-        range
-            Sets the range of this axis (in degrees), sets the
-            map's clipped coordinates.
-        showgrid
-            Sets whether or not graticule are shown on the map.
-        tick0
-            Sets the graticule's starting tick longitude/latitude.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtick=None,
-        gridcolor=None,
-        gridwidth=None,
-        range=None,
-        showgrid=None,
-        tick0=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lonaxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.geo.Lonaxis`
-        dtick
-            Sets the graticule's longitude/latitude tick step.
-        gridcolor
-            Sets the graticule's stroke color.
-        gridwidth
-            Sets the graticule's stroke width (in px).
-        range
-            Sets the range of this axis (in degrees), sets the
-            map's clipped coordinates.
-        showgrid
-            Sets whether or not graticule are shown on the map.
-        tick0
-            Sets the graticule's starting tick longitude/latitude.
-
-        Returns
-        -------
-        Lonaxis
-        """
-        super(Lonaxis, self).__init__("lonaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.geo.Lonaxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.geo.Lonaxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.geo import lonaxis as v_lonaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtick"] = v_lonaxis.DtickValidator()
-        self._validators["gridcolor"] = v_lonaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_lonaxis.GridwidthValidator()
-        self._validators["range"] = v_lonaxis.RangeValidator()
-        self._validators["showgrid"] = v_lonaxis.ShowgridValidator()
-        self._validators["tick0"] = v_lonaxis.Tick0Validator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Lataxis(_BaseLayoutHierarchyType):
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the graticule's longitude/latitude tick step.
-    
-        The 'dtick' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the graticule's stroke color.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the graticule's stroke width (in px).
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis (in degrees), sets the map's
-        clipped coordinates.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Sets whether or not graticule are shown on the map.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the graticule's starting tick longitude/latitude.
-    
-        The 'tick0' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.geo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtick
-            Sets the graticule's longitude/latitude tick step.
-        gridcolor
-            Sets the graticule's stroke color.
-        gridwidth
-            Sets the graticule's stroke width (in px).
-        range
-            Sets the range of this axis (in degrees), sets the
-            map's clipped coordinates.
-        showgrid
-            Sets whether or not graticule are shown on the map.
-        tick0
-            Sets the graticule's starting tick longitude/latitude.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtick=None,
-        gridcolor=None,
-        gridwidth=None,
-        range=None,
-        showgrid=None,
-        tick0=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lataxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.geo.Lataxis`
-        dtick
-            Sets the graticule's longitude/latitude tick step.
-        gridcolor
-            Sets the graticule's stroke color.
-        gridwidth
-            Sets the graticule's stroke width (in px).
-        range
-            Sets the range of this axis (in degrees), sets the
-            map's clipped coordinates.
-        showgrid
-            Sets whether or not graticule are shown on the map.
-        tick0
-            Sets the graticule's starting tick longitude/latitude.
-
-        Returns
-        -------
-        Lataxis
-        """
-        super(Lataxis, self).__init__("lataxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.geo.Lataxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.geo.Lataxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.geo import lataxis as v_lataxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtick"] = v_lataxis.DtickValidator()
-        self._validators["gridcolor"] = v_lataxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_lataxis.GridwidthValidator()
-        self._validators["range"] = v_lataxis.RangeValidator()
-        self._validators["showgrid"] = v_lataxis.ShowgridValidator()
-        self._validators["tick0"] = v_lataxis.Tick0Validator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseLayoutHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this geo subplot . Note that geo subplots are
-        constrained by domain. In general, when `projection.scale` is
-        set to 1. a map will fit either its x or y domain, but not
-        both.
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this geo subplot . Note that geo subplots are
-        constrained by domain. In general, when `projection.scale` is
-        set to 1. a map will fit either its x or y domain, but not
-        both.
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this geo subplot (in plot
-        fraction). Note that geo subplots are constrained by domain. In
-        general, when `projection.scale` is set to 1. a map will fit
-        either its x or y domain, but not both.
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this geo subplot (in plot
-        fraction). Note that geo subplots are constrained by domain. In
-        general, when `projection.scale` is set to 1. a map will fit
-        either its x or y domain, but not both.
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.geo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this geo subplot . Note that geo
-            subplots are constrained by domain. In general, when
-            `projection.scale` is set to 1. a map will fit either
-            its x or y domain, but not both.
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this geo subplot . Note that geo
-            subplots are constrained by domain. In general, when
-            `projection.scale` is set to 1. a map will fit either
-            its x or y domain, but not both.
-        x
-            Sets the horizontal domain of this geo subplot (in plot
-            fraction). Note that geo subplots are constrained by
-            domain. In general, when `projection.scale` is set to
-            1. a map will fit either its x or y domain, but not
-            both.
-        y
-            Sets the vertical domain of this geo subplot (in plot
-            fraction). Note that geo subplots are constrained by
-            domain. In general, when `projection.scale` is set to
-            1. a map will fit either its x or y domain, but not
-            both.
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.geo.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this geo subplot . Note that geo
-            subplots are constrained by domain. In general, when
-            `projection.scale` is set to 1. a map will fit either
-            its x or y domain, but not both.
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this geo subplot . Note that geo
-            subplots are constrained by domain. In general, when
-            `projection.scale` is set to 1. a map will fit either
-            its x or y domain, but not both.
-        x
-            Sets the horizontal domain of this geo subplot (in plot
-            fraction). Note that geo subplots are constrained by
-            domain. In general, when `projection.scale` is set to
-            1. a map will fit either its x or y domain, but not
-            both.
-        y
-            Sets the vertical domain of this geo subplot (in plot
-            fraction). Note that geo subplots are constrained by
-            domain. In general, when `projection.scale` is set to
-            1. a map will fit either its x or y domain, but not
-            both.
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.geo.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.geo.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.geo import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Center(_BaseLayoutHierarchyType):
-
-    # lat
-    # ---
-    @property
-    def lat(self):
-        """
-        Sets the latitude of the map's center. For all projection
-        types, the map's latitude center lies at the middle of the
-        latitude range by default.
-    
-        The 'lat' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["lat"]
-
-    @lat.setter
-    def lat(self, val):
-        self["lat"] = val
-
-    # lon
-    # ---
-    @property
-    def lon(self):
-        """
-        Sets the longitude of the map's center. By default, the map's
-        longitude center lies at the middle of the longitude range for
-        scoped projection and above `projection.rotation.lon`
-        otherwise.
-    
-        The 'lon' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["lon"]
-
-    @lon.setter
-    def lon(self, val):
-        self["lon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.geo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        lat
-            Sets the latitude of the map's center. For all
-            projection types, the map's latitude center lies at the
-            middle of the latitude range by default.
-        lon
-            Sets the longitude of the map's center. By default, the
-            map's longitude center lies at the middle of the
-            longitude range for scoped projection and above
-            `projection.rotation.lon` otherwise.
-        """
-
-    def __init__(self, arg=None, lat=None, lon=None, **kwargs):
-        """
-        Construct a new Center object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.geo.Center`
-        lat
-            Sets the latitude of the map's center. For all
-            projection types, the map's latitude center lies at the
-            middle of the latitude range by default.
-        lon
-            Sets the longitude of the map's center. By default, the
-            map's longitude center lies at the middle of the
-            longitude range for scoped projection and above
-            `projection.rotation.lon` otherwise.
-
-        Returns
-        -------
-        Center
-        """
-        super(Center, self).__init__("center")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.geo.Center 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.geo.Center`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.geo import center as v_center
-
-        # Initialize validators
-        # ---------------------
-        self._validators["lat"] = v_center.LatValidator()
-        self._validators["lon"] = v_center.LonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("lat", None)
-        self["lat"] = lat if lat is not None else _v
-        _v = arg.pop("lon", None)
-        self["lon"] = lon if lon is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Center", "Domain", "Lataxis", "Lonaxis", "Projection", "projection"]
-
-from plotly.graph_objs.layout.geo import projection
+import sys
+
+if sys.version_info < (3, 7):
+    from ._projection import Projection
+    from ._lonaxis import Lonaxis
+    from ._lataxis import Lataxis
+    from ._domain import Domain
+    from ._center import Center
+    from . import projection
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".projection"],
+        [
+            "._projection.Projection",
+            "._lonaxis.Lonaxis",
+            "._lataxis.Lataxis",
+            "._domain.Domain",
+            "._center.Center",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/_center.py b/packages/python/plotly/plotly/graph_objs/layout/geo/_center.py
new file mode 100644
index 00000000000..e8215713716
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/_center.py
@@ -0,0 +1,141 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Center(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.geo"
+    _path_str = "layout.geo.center"
+    _valid_props = {"lat", "lon"}
+
+    # lat
+    # ---
+    @property
+    def lat(self):
+        """
+        Sets the latitude of the map's center. For all projection
+        types, the map's latitude center lies at the middle of the
+        latitude range by default.
+    
+        The 'lat' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["lat"]
+
+    @lat.setter
+    def lat(self, val):
+        self["lat"] = val
+
+    # lon
+    # ---
+    @property
+    def lon(self):
+        """
+        Sets the longitude of the map's center. By default, the map's
+        longitude center lies at the middle of the longitude range for
+        scoped projection and above `projection.rotation.lon`
+        otherwise.
+    
+        The 'lon' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["lon"]
+
+    @lon.setter
+    def lon(self, val):
+        self["lon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        lat
+            Sets the latitude of the map's center. For all
+            projection types, the map's latitude center lies at the
+            middle of the latitude range by default.
+        lon
+            Sets the longitude of the map's center. By default, the
+            map's longitude center lies at the middle of the
+            longitude range for scoped projection and above
+            `projection.rotation.lon` otherwise.
+        """
+
+    def __init__(self, arg=None, lat=None, lon=None, **kwargs):
+        """
+        Construct a new Center object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.geo.Center`
+        lat
+            Sets the latitude of the map's center. For all
+            projection types, the map's latitude center lies at the
+            middle of the latitude range by default.
+        lon
+            Sets the longitude of the map's center. By default, the
+            map's longitude center lies at the middle of the
+            longitude range for scoped projection and above
+            `projection.rotation.lon` otherwise.
+
+        Returns
+        -------
+        Center
+        """
+        super(Center, self).__init__("center")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.geo.Center 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.geo.Center`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("lat", None)
+        _v = lat if lat is not None else _v
+        if _v is not None:
+            self["lat"] = _v
+        _v = arg.pop("lon", None)
+        _v = lon if lon is not None else _v
+        if _v is not None:
+            self["lon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/_domain.py b/packages/python/plotly/plotly/graph_objs/layout/geo/_domain.py
new file mode 100644
index 00000000000..7a1e3a33585
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/_domain.py
@@ -0,0 +1,240 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.geo"
+    _path_str = "layout.geo.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this geo subplot . Note that geo subplots are
+        constrained by domain. In general, when `projection.scale` is
+        set to 1. a map will fit either its x or y domain, but not
+        both.
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this geo subplot . Note that geo subplots are
+        constrained by domain. In general, when `projection.scale` is
+        set to 1. a map will fit either its x or y domain, but not
+        both.
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this geo subplot (in plot
+        fraction). Note that geo subplots are constrained by domain. In
+        general, when `projection.scale` is set to 1. a map will fit
+        either its x or y domain, but not both.
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this geo subplot (in plot
+        fraction). Note that geo subplots are constrained by domain. In
+        general, when `projection.scale` is set to 1. a map will fit
+        either its x or y domain, but not both.
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this geo subplot . Note that geo
+            subplots are constrained by domain. In general, when
+            `projection.scale` is set to 1. a map will fit either
+            its x or y domain, but not both.
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this geo subplot . Note that geo
+            subplots are constrained by domain. In general, when
+            `projection.scale` is set to 1. a map will fit either
+            its x or y domain, but not both.
+        x
+            Sets the horizontal domain of this geo subplot (in plot
+            fraction). Note that geo subplots are constrained by
+            domain. In general, when `projection.scale` is set to
+            1. a map will fit either its x or y domain, but not
+            both.
+        y
+            Sets the vertical domain of this geo subplot (in plot
+            fraction). Note that geo subplots are constrained by
+            domain. In general, when `projection.scale` is set to
+            1. a map will fit either its x or y domain, but not
+            both.
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.geo.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this geo subplot . Note that geo
+            subplots are constrained by domain. In general, when
+            `projection.scale` is set to 1. a map will fit either
+            its x or y domain, but not both.
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this geo subplot . Note that geo
+            subplots are constrained by domain. In general, when
+            `projection.scale` is set to 1. a map will fit either
+            its x or y domain, but not both.
+        x
+            Sets the horizontal domain of this geo subplot (in plot
+            fraction). Note that geo subplots are constrained by
+            domain. In general, when `projection.scale` is set to
+            1. a map will fit either its x or y domain, but not
+            both.
+        y
+            Sets the vertical domain of this geo subplot (in plot
+            fraction). Note that geo subplots are constrained by
+            domain. In general, when `projection.scale` is set to
+            1. a map will fit either its x or y domain, but not
+            both.
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.geo.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.geo.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/_lataxis.py b/packages/python/plotly/plotly/graph_objs/layout/geo/_lataxis.py
new file mode 100644
index 00000000000..716d5c35f51
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/_lataxis.py
@@ -0,0 +1,295 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Lataxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.geo"
+    _path_str = "layout.geo.lataxis"
+    _valid_props = {"dtick", "gridcolor", "gridwidth", "range", "showgrid", "tick0"}
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the graticule's longitude/latitude tick step.
+    
+        The 'dtick' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the graticule's stroke color.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the graticule's stroke width (in px).
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis (in degrees), sets the map's
+        clipped coordinates.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Sets whether or not graticule are shown on the map.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the graticule's starting tick longitude/latitude.
+    
+        The 'tick0' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtick
+            Sets the graticule's longitude/latitude tick step.
+        gridcolor
+            Sets the graticule's stroke color.
+        gridwidth
+            Sets the graticule's stroke width (in px).
+        range
+            Sets the range of this axis (in degrees), sets the
+            map's clipped coordinates.
+        showgrid
+            Sets whether or not graticule are shown on the map.
+        tick0
+            Sets the graticule's starting tick longitude/latitude.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtick=None,
+        gridcolor=None,
+        gridwidth=None,
+        range=None,
+        showgrid=None,
+        tick0=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lataxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.geo.Lataxis`
+        dtick
+            Sets the graticule's longitude/latitude tick step.
+        gridcolor
+            Sets the graticule's stroke color.
+        gridwidth
+            Sets the graticule's stroke width (in px).
+        range
+            Sets the range of this axis (in degrees), sets the
+            map's clipped coordinates.
+        showgrid
+            Sets whether or not graticule are shown on the map.
+        tick0
+            Sets the graticule's starting tick longitude/latitude.
+
+        Returns
+        -------
+        Lataxis
+        """
+        super(Lataxis, self).__init__("lataxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.geo.Lataxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.geo.Lataxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/_lonaxis.py b/packages/python/plotly/plotly/graph_objs/layout/geo/_lonaxis.py
new file mode 100644
index 00000000000..4db45d059b3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/_lonaxis.py
@@ -0,0 +1,295 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Lonaxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.geo"
+    _path_str = "layout.geo.lonaxis"
+    _valid_props = {"dtick", "gridcolor", "gridwidth", "range", "showgrid", "tick0"}
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the graticule's longitude/latitude tick step.
+    
+        The 'dtick' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the graticule's stroke color.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the graticule's stroke width (in px).
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis (in degrees), sets the map's
+        clipped coordinates.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Sets whether or not graticule are shown on the map.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the graticule's starting tick longitude/latitude.
+    
+        The 'tick0' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtick
+            Sets the graticule's longitude/latitude tick step.
+        gridcolor
+            Sets the graticule's stroke color.
+        gridwidth
+            Sets the graticule's stroke width (in px).
+        range
+            Sets the range of this axis (in degrees), sets the
+            map's clipped coordinates.
+        showgrid
+            Sets whether or not graticule are shown on the map.
+        tick0
+            Sets the graticule's starting tick longitude/latitude.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtick=None,
+        gridcolor=None,
+        gridwidth=None,
+        range=None,
+        showgrid=None,
+        tick0=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lonaxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.geo.Lonaxis`
+        dtick
+            Sets the graticule's longitude/latitude tick step.
+        gridcolor
+            Sets the graticule's stroke color.
+        gridwidth
+            Sets the graticule's stroke width (in px).
+        range
+            Sets the range of this axis (in degrees), sets the
+            map's clipped coordinates.
+        showgrid
+            Sets whether or not graticule are shown on the map.
+        tick0
+            Sets the graticule's starting tick longitude/latitude.
+
+        Returns
+        -------
+        Lonaxis
+        """
+        super(Lonaxis, self).__init__("lonaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.geo.Lonaxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.geo.Lonaxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/_projection.py b/packages/python/plotly/plotly/graph_objs/layout/geo/_projection.py
new file mode 100644
index 00000000000..2908444cad1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/_projection.py
@@ -0,0 +1,220 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Projection(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.geo"
+    _path_str = "layout.geo.projection"
+    _valid_props = {"parallels", "rotation", "scale", "type"}
+
+    # parallels
+    # ---------
+    @property
+    def parallels(self):
+        """
+        For conic projection types only. Sets the parallels (tangent,
+        secant) where the cone intersects the sphere.
+    
+        The 'parallels' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'parallels[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'parallels[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["parallels"]
+
+    @parallels.setter
+    def parallels(self, val):
+        self["parallels"] = val
+
+    # rotation
+    # --------
+    @property
+    def rotation(self):
+        """
+        The 'rotation' property is an instance of Rotation
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.geo.projection.Rotation`
+          - A dict of string/value properties that will be passed
+            to the Rotation constructor
+    
+            Supported dict properties:
+                
+                lat
+                    Rotates the map along meridians (in degrees
+                    North).
+                lon
+                    Rotates the map along parallels (in degrees
+                    East). Defaults to the center of the
+                    `lonaxis.range` values.
+                roll
+                    Roll the map (in degrees) For example, a roll
+                    of 180 makes the map appear upside down.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.geo.projection.Rotation
+        """
+        return self["rotation"]
+
+    @rotation.setter
+    def rotation(self, val):
+        self["rotation"] = val
+
+    # scale
+    # -----
+    @property
+    def scale(self):
+        """
+        Zooms in or out on the map view. A scale of 1 corresponds to
+        the largest zoom level that fits the map's lon and lat ranges.
+    
+        The 'scale' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["scale"]
+
+    @scale.setter
+    def scale(self, val):
+        self["scale"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the projection type.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['equirectangular', 'mercator', 'orthographic', 'natural
+                earth', 'kavrayskiy7', 'miller', 'robinson', 'eckert4',
+                'azimuthal equal area', 'azimuthal equidistant', 'conic
+                equal area', 'conic conformal', 'conic equidistant',
+                'gnomonic', 'stereographic', 'mollweide', 'hammer',
+                'transverse mercator', 'albers usa', 'winkel tripel',
+                'aitoff', 'sinusoidal']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        parallels
+            For conic projection types only. Sets the parallels
+            (tangent, secant) where the cone intersects the sphere.
+        rotation
+            :class:`plotly.graph_objects.layout.geo.projection.Rota
+            tion` instance or dict with compatible properties
+        scale
+            Zooms in or out on the map view. A scale of 1
+            corresponds to the largest zoom level that fits the
+            map's lon and lat ranges.
+        type
+            Sets the projection type.
+        """
+
+    def __init__(
+        self, arg=None, parallels=None, rotation=None, scale=None, type=None, **kwargs
+    ):
+        """
+        Construct a new Projection object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.geo.Projection`
+        parallels
+            For conic projection types only. Sets the parallels
+            (tangent, secant) where the cone intersects the sphere.
+        rotation
+            :class:`plotly.graph_objects.layout.geo.projection.Rota
+            tion` instance or dict with compatible properties
+        scale
+            Zooms in or out on the map view. A scale of 1
+            corresponds to the largest zoom level that fits the
+            map's lon and lat ranges.
+        type
+            Sets the projection type.
+
+        Returns
+        -------
+        Projection
+        """
+        super(Projection, self).__init__("projection")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.geo.Projection 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.geo.Projection`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("parallels", None)
+        _v = parallels if parallels is not None else _v
+        if _v is not None:
+            self["parallels"] = _v
+        _v = arg.pop("rotation", None)
+        _v = rotation if rotation is not None else _v
+        if _v is not None:
+            self["rotation"] = _v
+        _v = arg.pop("scale", None)
+        _v = scale if scale is not None else _v
+        if _v is not None:
+            self["scale"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/projection/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/geo/projection/__init__.py
index 7a3eb20528f..1b0cdfe4d60 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/geo/projection/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/projection/__init__.py
@@ -1,163 +1,10 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._rotation import Rotation
+else:
+    from _plotly_utils.importers import relative_import
 
-class Rotation(_BaseLayoutHierarchyType):
-
-    # lat
-    # ---
-    @property
-    def lat(self):
-        """
-        Rotates the map along meridians (in degrees North).
-    
-        The 'lat' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["lat"]
-
-    @lat.setter
-    def lat(self, val):
-        self["lat"] = val
-
-    # lon
-    # ---
-    @property
-    def lon(self):
-        """
-        Rotates the map along parallels (in degrees East). Defaults to
-        the center of the `lonaxis.range` values.
-    
-        The 'lon' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["lon"]
-
-    @lon.setter
-    def lon(self, val):
-        self["lon"] = val
-
-    # roll
-    # ----
-    @property
-    def roll(self):
-        """
-        Roll the map (in degrees) For example, a roll of 180 makes the
-        map appear upside down.
-    
-        The 'roll' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roll"]
-
-    @roll.setter
-    def roll(self, val):
-        self["roll"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.geo.projection"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        lat
-            Rotates the map along meridians (in degrees North).
-        lon
-            Rotates the map along parallels (in degrees East).
-            Defaults to the center of the `lonaxis.range` values.
-        roll
-            Roll the map (in degrees) For example, a roll of 180
-            makes the map appear upside down.
-        """
-
-    def __init__(self, arg=None, lat=None, lon=None, roll=None, **kwargs):
-        """
-        Construct a new Rotation object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.geo.pro
-            jection.Rotation`
-        lat
-            Rotates the map along meridians (in degrees North).
-        lon
-            Rotates the map along parallels (in degrees East).
-            Defaults to the center of the `lonaxis.range` values.
-        roll
-            Roll the map (in degrees) For example, a roll of 180
-            makes the map appear upside down.
-
-        Returns
-        -------
-        Rotation
-        """
-        super(Rotation, self).__init__("rotation")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.geo.projection.Rotation 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.geo.projection.Rotation`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.geo.projection import rotation as v_rotation
-
-        # Initialize validators
-        # ---------------------
-        self._validators["lat"] = v_rotation.LatValidator()
-        self._validators["lon"] = v_rotation.LonValidator()
-        self._validators["roll"] = v_rotation.RollValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("lat", None)
-        self["lat"] = lat if lat is not None else _v
-        _v = arg.pop("lon", None)
-        self["lon"] = lon if lon is not None else _v
-        _v = arg.pop("roll", None)
-        self["roll"] = roll if roll is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Rotation"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._rotation.Rotation"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/geo/projection/_rotation.py b/packages/python/plotly/plotly/graph_objs/layout/geo/projection/_rotation.py
new file mode 100644
index 00000000000..73eda062ab6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/geo/projection/_rotation.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Rotation(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.geo.projection"
+    _path_str = "layout.geo.projection.rotation"
+    _valid_props = {"lat", "lon", "roll"}
+
+    # lat
+    # ---
+    @property
+    def lat(self):
+        """
+        Rotates the map along meridians (in degrees North).
+    
+        The 'lat' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["lat"]
+
+    @lat.setter
+    def lat(self, val):
+        self["lat"] = val
+
+    # lon
+    # ---
+    @property
+    def lon(self):
+        """
+        Rotates the map along parallels (in degrees East). Defaults to
+        the center of the `lonaxis.range` values.
+    
+        The 'lon' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["lon"]
+
+    @lon.setter
+    def lon(self, val):
+        self["lon"] = val
+
+    # roll
+    # ----
+    @property
+    def roll(self):
+        """
+        Roll the map (in degrees) For example, a roll of 180 makes the
+        map appear upside down.
+    
+        The 'roll' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roll"]
+
+    @roll.setter
+    def roll(self, val):
+        self["roll"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        lat
+            Rotates the map along meridians (in degrees North).
+        lon
+            Rotates the map along parallels (in degrees East).
+            Defaults to the center of the `lonaxis.range` values.
+        roll
+            Roll the map (in degrees) For example, a roll of 180
+            makes the map appear upside down.
+        """
+
+    def __init__(self, arg=None, lat=None, lon=None, roll=None, **kwargs):
+        """
+        Construct a new Rotation object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.geo.pro
+            jection.Rotation`
+        lat
+            Rotates the map along meridians (in degrees North).
+        lon
+            Rotates the map along parallels (in degrees East).
+            Defaults to the center of the `lonaxis.range` values.
+        roll
+            Roll the map (in degrees) For example, a roll of 180
+            makes the map appear upside down.
+
+        Returns
+        -------
+        Rotation
+        """
+        super(Rotation, self).__init__("rotation")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.geo.projection.Rotation 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.geo.projection.Rotation`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("lat", None)
+        _v = lat if lat is not None else _v
+        if _v is not None:
+            self["lat"] = _v
+        _v = arg.pop("lon", None)
+        _v = lon if lon is not None else _v
+        if _v is not None:
+            self["lon"] = _v
+        _v = arg.pop("roll", None)
+        _v = roll if roll is not None else _v
+        if _v is not None:
+            self["roll"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/grid/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/grid/__init__.py
index f4569255f74..72758f2c3d7 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/grid/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/grid/__init__.py
@@ -1,152 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._domain import Domain
+else:
+    from _plotly_utils.importers import relative_import
 
-class Domain(_BaseLayoutHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this grid subplot (in plot
-        fraction). The first and last cells end exactly at the domain
-        edges, with no grout around the edges.
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this grid subplot (in plot
-        fraction). The first and last cells end exactly at the domain
-        edges, with no grout around the edges.
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.grid"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Sets the horizontal domain of this grid subplot (in
-            plot fraction). The first and last cells end exactly at
-            the domain edges, with no grout around the edges.
-        y
-            Sets the vertical domain of this grid subplot (in plot
-            fraction). The first and last cells end exactly at the
-            domain edges, with no grout around the edges.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.grid.Domain`
-        x
-            Sets the horizontal domain of this grid subplot (in
-            plot fraction). The first and last cells end exactly at
-            the domain edges, with no grout around the edges.
-        y
-            Sets the vertical domain of this grid subplot (in plot
-            fraction). The first and last cells end exactly at the
-            domain edges, with no grout around the edges.
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.grid.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.grid.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.grid import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Domain"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._domain.Domain"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/grid/_domain.py b/packages/python/plotly/plotly/graph_objs/layout/grid/_domain.py
new file mode 100644
index 00000000000..cb854619d9b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/grid/_domain.py
@@ -0,0 +1,148 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.grid"
+    _path_str = "layout.grid.domain"
+    _valid_props = {"x", "y"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this grid subplot (in plot
+        fraction). The first and last cells end exactly at the domain
+        edges, with no grout around the edges.
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this grid subplot (in plot
+        fraction). The first and last cells end exactly at the domain
+        edges, with no grout around the edges.
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Sets the horizontal domain of this grid subplot (in
+            plot fraction). The first and last cells end exactly at
+            the domain edges, with no grout around the edges.
+        y
+            Sets the vertical domain of this grid subplot (in plot
+            fraction). The first and last cells end exactly at the
+            domain edges, with no grout around the edges.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.grid.Domain`
+        x
+            Sets the horizontal domain of this grid subplot (in
+            plot fraction). The first and last cells end exactly at
+            the domain edges, with no grout around the edges.
+        y
+            Sets the vertical domain of this grid subplot (in plot
+            fraction). The first and last cells end exactly at the
+            domain edges, with no grout around the edges.
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.grid.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.grid.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/__init__.py
index b2ed030c6dd..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the default hover label font used by all traces on the
-        graph.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.hoverlabel.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/_font.py
new file mode 100644
index 00000000000..54148c4e413
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/hoverlabel/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.hoverlabel"
+    _path_str = "layout.hoverlabel.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the default hover label font used by all traces on the
+        graph.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.hoverlabel.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/legend/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/legend/__init__.py
index e79959de0b2..4639b4f1cb3 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/legend/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/legend/__init__.py
@@ -1,427 +1,12 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this legend's title font.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.legend.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.legend.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of legend's title with respect to the
-        legend items. Defaulted to "top" with `orientation` is "h".
-        Defaulted to "left" with `orientation` is "v". The *top left*
-        options could be used to expand legend area in both x and y
-        sides.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'left', 'top left']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the legend.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.legend"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this legend's title font.
-        side
-            Determines the location of legend's title with respect
-            to the legend items. Defaulted to "top" with
-            `orientation` is "h". Defaulted to "left" with
-            `orientation` is "v". The *top left* options could be
-            used to expand legend area in both x and y sides.
-        text
-            Sets the title of the legend.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.legend.Title`
-        font
-            Sets this legend's title font.
-        side
-            Determines the location of legend's title with respect
-            to the legend items. Defaulted to "top" with
-            `orientation` is "h". Defaulted to "left" with
-            `orientation` is "v". The *top left* options could be
-            used to expand legend area in both x and y sides.
-        text
-            Sets the title of the legend.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.legend.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.legend.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.legend import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.legend"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the font used to text the legend items.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.legend.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.legend.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.legend.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.legend import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font", "Title", "title"]
-
-from plotly.graph_objs.layout.legend import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._font import Font
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".title"], ["._title.Title", "._font.Font"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/legend/_font.py b/packages/python/plotly/plotly/graph_objs/layout/legend/_font.py
new file mode 100644
index 00000000000..54661142ccd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/legend/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.legend"
+    _path_str = "layout.legend.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the font used to text the legend items.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.legend.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.legend.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.legend.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/legend/_title.py b/packages/python/plotly/plotly/graph_objs/layout/legend/_title.py
new file mode 100644
index 00000000000..a7d0ca64d20
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/legend/_title.py
@@ -0,0 +1,194 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.legend"
+    _path_str = "layout.legend.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this legend's title font.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.legend.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.legend.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of legend's title with respect to the
+        legend items. Defaulted to "top" with `orientation` is "h".
+        Defaulted to "left" with `orientation` is "v". The *top left*
+        options could be used to expand legend area in both x and y
+        sides.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'left', 'top left']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the legend.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this legend's title font.
+        side
+            Determines the location of legend's title with respect
+            to the legend items. Defaulted to "top" with
+            `orientation` is "h". Defaulted to "left" with
+            `orientation` is "v". The *top left* options could be
+            used to expand legend area in both x and y sides.
+        text
+            Sets the title of the legend.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.legend.Title`
+        font
+            Sets this legend's title font.
+        side
+            Determines the location of legend's title with respect
+            to the legend items. Defaulted to "top" with
+            `orientation` is "h". Defaulted to "left" with
+            `orientation` is "v". The *top left* options could be
+            used to expand legend area in both x and y sides.
+        text
+            Sets the title of the legend.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.legend.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.legend.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/legend/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/legend/title/__init__.py
index bd0ee3864d9..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/legend/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/legend/title/__init__.py
@@ -1,229 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.legend.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this legend's title font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.legend.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.legend.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.legend.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.legend.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/legend/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/legend/title/_font.py
new file mode 100644
index 00000000000..7cd410a48ac
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/legend/title/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.legend.title"
+    _path_str = "layout.legend.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this legend's title font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.legend.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.legend.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.legend.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/__init__.py
index af515836e99..3762b6f0b7b 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/mapbox/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/__init__.py
@@ -1,1210 +1,13 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Layer(_BaseLayoutHierarchyType):
-
-    # below
-    # -----
-    @property
-    def below(self):
-        """
-        Determines if the layer will be inserted before the layer with
-        the specified ID. If omitted or set to '', the layer will be
-        inserted above every existing layer.
-    
-        The 'below' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["below"]
-
-    @below.setter
-    def below(self, val):
-        self["below"] = val
-
-    # circle
-    # ------
-    @property
-    def circle(self):
-        """
-        The 'circle' property is an instance of Circle
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Circle`
-          - A dict of string/value properties that will be passed
-            to the Circle constructor
-    
-            Supported dict properties:
-                
-                radius
-                    Sets the circle radius
-                    (mapbox.layer.paint.circle-radius). Has an
-                    effect only when `type` is set to "circle".
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.layer.Circle
-        """
-        return self["circle"]
-
-    @circle.setter
-    def circle(self, val):
-        self["circle"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the primary layer color. If `type` is "circle", color
-        corresponds to the circle color (mapbox.layer.paint.circle-
-        color) If `type` is "line", color corresponds to the line color
-        (mapbox.layer.paint.line-color) If `type` is "fill", color
-        corresponds to the fill color (mapbox.layer.paint.fill-color)
-        If `type` is "symbol", color corresponds to the icon color
-        (mapbox.layer.paint.icon-color)
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coordinates
-    # -----------
-    @property
-    def coordinates(self):
-        """
-        Sets the coordinates array contains [longitude, latitude] pairs
-        for the image corners listed in clockwise order: top left, top
-        right, bottom right, bottom left. Only has an effect for
-        "image" `sourcetype`.
-    
-        The 'coordinates' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["coordinates"]
-
-    @coordinates.setter
-    def coordinates(self, val):
-        self["coordinates"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        The 'fill' property is an instance of Fill
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Fill`
-          - A dict of string/value properties that will be passed
-            to the Fill constructor
-    
-            Supported dict properties:
-                
-                outlinecolor
-                    Sets the fill outline color
-                    (mapbox.layer.paint.fill-outline-color). Has an
-                    effect only when `type` is set to "fill".
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.layer.Fill
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                dash
-                    Sets the length of dashes and gaps
-                    (mapbox.layer.paint.line-dasharray). Has an
-                    effect only when `type` is set to "line".
-                dashsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  dash .
-                width
-                    Sets the line width (mapbox.layer.paint.line-
-                    width). Has an effect only when `type` is set
-                    to "line".
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.layer.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # maxzoom
-    # -------
-    @property
-    def maxzoom(self):
-        """
-        Sets the maximum zoom level (mapbox.layer.maxzoom). At zoom
-        levels equal to or greater than the maxzoom, the layer will be
-        hidden.
-    
-        The 'maxzoom' property is a number and may be specified as:
-          - An int or float in the interval [0, 24]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxzoom"]
-
-    @maxzoom.setter
-    def maxzoom(self, val):
-        self["maxzoom"] = val
-
-    # minzoom
-    # -------
-    @property
-    def minzoom(self):
-        """
-        Sets the minimum zoom level (mapbox.layer.minzoom). At zoom
-        levels less than the minzoom, the layer will be hidden.
-    
-        The 'minzoom' property is a number and may be specified as:
-          - An int or float in the interval [0, 24]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["minzoom"]
-
-    @minzoom.setter
-    def minzoom(self, val):
-        self["minzoom"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the layer. If `type` is "circle", opacity
-        corresponds to the circle opacity (mapbox.layer.paint.circle-
-        opacity) If `type` is "line", opacity corresponds to the line
-        opacity (mapbox.layer.paint.line-opacity) If `type` is "fill",
-        opacity corresponds to the fill opacity
-        (mapbox.layer.paint.fill-opacity) If `type` is "symbol",
-        opacity corresponds to the icon/text opacity
-        (mapbox.layer.paint.text-opacity)
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # source
-    # ------
-    @property
-    def source(self):
-        """
-        Sets the source data for this layer (mapbox.layer.source). When
-        `sourcetype` is set to "geojson", `source` can be a URL to a
-        GeoJSON or a GeoJSON object. When `sourcetype` is set to
-        "vector" or "raster", `source` can be a URL or an array of tile
-        URLs. When `sourcetype` is set to "image", `source` can be a
-        URL to an image.
-    
-        The 'source' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["source"]
-
-    @source.setter
-    def source(self, val):
-        self["source"] = val
-
-    # sourceattribution
-    # -----------------
-    @property
-    def sourceattribution(self):
-        """
-        Sets the attribution for this source.
-    
-        The 'sourceattribution' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["sourceattribution"]
-
-    @sourceattribution.setter
-    def sourceattribution(self, val):
-        self["sourceattribution"] = val
-
-    # sourcelayer
-    # -----------
-    @property
-    def sourcelayer(self):
-        """
-        Specifies the layer to use from a vector tile source
-        (mapbox.layer.source-layer). Required for "vector" source type
-        that supports multiple layers.
-    
-        The 'sourcelayer' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["sourcelayer"]
-
-    @sourcelayer.setter
-    def sourcelayer(self, val):
-        self["sourcelayer"] = val
-
-    # sourcetype
-    # ----------
-    @property
-    def sourcetype(self):
-        """
-        Sets the source type for this layer, that is the type of the
-        layer data.
-    
-        The 'sourcetype' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['geojson', 'vector', 'raster', 'image']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sourcetype"]
-
-    @sourcetype.setter
-    def sourcetype(self, val):
-        self["sourcetype"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        The 'symbol' property is an instance of Symbol
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Symbol`
-          - A dict of string/value properties that will be passed
-            to the Symbol constructor
-    
-            Supported dict properties:
-                
-                icon
-                    Sets the symbol icon image
-                    (mapbox.layer.layout.icon-image). Full list:
-                    https://www.mapbox.com/maki-icons/
-                iconsize
-                    Sets the symbol icon size
-                    (mapbox.layer.layout.icon-size). Has an effect
-                    only when `type` is set to "symbol".
-                placement
-                    Sets the symbol and/or text placement
-                    (mapbox.layer.layout.symbol-placement). If
-                    `placement` is "point", the label is placed
-                    where the geometry is located If `placement` is
-                    "line", the label is placed along the line of
-                    the geometry If `placement` is "line-center",
-                    the label is placed on the center of the
-                    geometry
-                text
-                    Sets the symbol text (mapbox.layer.layout.text-
-                    field).
-                textfont
-                    Sets the icon text font
-                    (color=mapbox.layer.paint.text-color,
-                    size=mapbox.layer.layout.text-size). Has an
-                    effect only when `type` is set to "symbol".
-                textposition
-                    Sets the positions of the `text` elements with
-                    respects to the (x,y) coordinates.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.layer.Symbol
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the layer type, that is the how the layer data set in
-        `source` will be rendered With `sourcetype` set to "geojson",
-        the following values are allowed: "circle", "line", "fill" and
-        "symbol". but note that "line" and "fill" are not compatible
-        with Point GeoJSON geometries. With `sourcetype` set to
-        "vector", the following values are allowed:  "circle", "line",
-        "fill" and "symbol". With `sourcetype` set to "raster" or
-        `*image*`, only the "raster" value is allowed.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['circle', 'line', 'fill', 'symbol', 'raster']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether this layer is displayed
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        below
-            Determines if the layer will be inserted before the
-            layer with the specified ID. If omitted or set to '',
-            the layer will be inserted above every existing layer.
-        circle
-            :class:`plotly.graph_objects.layout.mapbox.layer.Circle
-            ` instance or dict with compatible properties
-        color
-            Sets the primary layer color. If `type` is "circle",
-            color corresponds to the circle color
-            (mapbox.layer.paint.circle-color) If `type` is "line",
-            color corresponds to the line color
-            (mapbox.layer.paint.line-color) If `type` is "fill",
-            color corresponds to the fill color
-            (mapbox.layer.paint.fill-color) If `type` is "symbol",
-            color corresponds to the icon color
-            (mapbox.layer.paint.icon-color)
-        coordinates
-            Sets the coordinates array contains [longitude,
-            latitude] pairs for the image corners listed in
-            clockwise order: top left, top right, bottom right,
-            bottom left. Only has an effect for "image"
-            `sourcetype`.
-        fill
-            :class:`plotly.graph_objects.layout.mapbox.layer.Fill`
-            instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.layout.mapbox.layer.Line`
-            instance or dict with compatible properties
-        maxzoom
-            Sets the maximum zoom level (mapbox.layer.maxzoom). At
-            zoom levels equal to or greater than the maxzoom, the
-            layer will be hidden.
-        minzoom
-            Sets the minimum zoom level (mapbox.layer.minzoom). At
-            zoom levels less than the minzoom, the layer will be
-            hidden.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the layer. If `type` is "circle",
-            opacity corresponds to the circle opacity
-            (mapbox.layer.paint.circle-opacity) If `type` is
-            "line", opacity corresponds to the line opacity
-            (mapbox.layer.paint.line-opacity) If `type` is "fill",
-            opacity corresponds to the fill opacity
-            (mapbox.layer.paint.fill-opacity) If `type` is
-            "symbol", opacity corresponds to the icon/text opacity
-            (mapbox.layer.paint.text-opacity)
-        source
-            Sets the source data for this layer
-            (mapbox.layer.source). When `sourcetype` is set to
-            "geojson", `source` can be a URL to a GeoJSON or a
-            GeoJSON object. When `sourcetype` is set to "vector" or
-            "raster", `source` can be a URL or an array of tile
-            URLs. When `sourcetype` is set to "image", `source` can
-            be a URL to an image.
-        sourceattribution
-            Sets the attribution for this source.
-        sourcelayer
-            Specifies the layer to use from a vector tile source
-            (mapbox.layer.source-layer). Required for "vector"
-            source type that supports multiple layers.
-        sourcetype
-            Sets the source type for this layer, that is the type
-            of the layer data.
-        symbol
-            :class:`plotly.graph_objects.layout.mapbox.layer.Symbol
-            ` instance or dict with compatible properties
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        type
-            Sets the layer type, that is the how the layer data set
-            in `source` will be rendered With `sourcetype` set to
-            "geojson", the following values are allowed: "circle",
-            "line", "fill" and "symbol". but note that "line" and
-            "fill" are not compatible with Point GeoJSON
-            geometries. With `sourcetype` set to "vector", the
-            following values are allowed:  "circle", "line", "fill"
-            and "symbol". With `sourcetype` set to "raster" or
-            `*image*`, only the "raster" value is allowed.
-        visible
-            Determines whether this layer is displayed
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        below=None,
-        circle=None,
-        color=None,
-        coordinates=None,
-        fill=None,
-        line=None,
-        maxzoom=None,
-        minzoom=None,
-        name=None,
-        opacity=None,
-        source=None,
-        sourceattribution=None,
-        sourcelayer=None,
-        sourcetype=None,
-        symbol=None,
-        templateitemname=None,
-        type=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Layer object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.Layer`
-        below
-            Determines if the layer will be inserted before the
-            layer with the specified ID. If omitted or set to '',
-            the layer will be inserted above every existing layer.
-        circle
-            :class:`plotly.graph_objects.layout.mapbox.layer.Circle
-            ` instance or dict with compatible properties
-        color
-            Sets the primary layer color. If `type` is "circle",
-            color corresponds to the circle color
-            (mapbox.layer.paint.circle-color) If `type` is "line",
-            color corresponds to the line color
-            (mapbox.layer.paint.line-color) If `type` is "fill",
-            color corresponds to the fill color
-            (mapbox.layer.paint.fill-color) If `type` is "symbol",
-            color corresponds to the icon color
-            (mapbox.layer.paint.icon-color)
-        coordinates
-            Sets the coordinates array contains [longitude,
-            latitude] pairs for the image corners listed in
-            clockwise order: top left, top right, bottom right,
-            bottom left. Only has an effect for "image"
-            `sourcetype`.
-        fill
-            :class:`plotly.graph_objects.layout.mapbox.layer.Fill`
-            instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.layout.mapbox.layer.Line`
-            instance or dict with compatible properties
-        maxzoom
-            Sets the maximum zoom level (mapbox.layer.maxzoom). At
-            zoom levels equal to or greater than the maxzoom, the
-            layer will be hidden.
-        minzoom
-            Sets the minimum zoom level (mapbox.layer.minzoom). At
-            zoom levels less than the minzoom, the layer will be
-            hidden.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the layer. If `type` is "circle",
-            opacity corresponds to the circle opacity
-            (mapbox.layer.paint.circle-opacity) If `type` is
-            "line", opacity corresponds to the line opacity
-            (mapbox.layer.paint.line-opacity) If `type` is "fill",
-            opacity corresponds to the fill opacity
-            (mapbox.layer.paint.fill-opacity) If `type` is
-            "symbol", opacity corresponds to the icon/text opacity
-            (mapbox.layer.paint.text-opacity)
-        source
-            Sets the source data for this layer
-            (mapbox.layer.source). When `sourcetype` is set to
-            "geojson", `source` can be a URL to a GeoJSON or a
-            GeoJSON object. When `sourcetype` is set to "vector" or
-            "raster", `source` can be a URL or an array of tile
-            URLs. When `sourcetype` is set to "image", `source` can
-            be a URL to an image.
-        sourceattribution
-            Sets the attribution for this source.
-        sourcelayer
-            Specifies the layer to use from a vector tile source
-            (mapbox.layer.source-layer). Required for "vector"
-            source type that supports multiple layers.
-        sourcetype
-            Sets the source type for this layer, that is the type
-            of the layer data.
-        symbol
-            :class:`plotly.graph_objects.layout.mapbox.layer.Symbol
-            ` instance or dict with compatible properties
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        type
-            Sets the layer type, that is the how the layer data set
-            in `source` will be rendered With `sourcetype` set to
-            "geojson", the following values are allowed: "circle",
-            "line", "fill" and "symbol". but note that "line" and
-            "fill" are not compatible with Point GeoJSON
-            geometries. With `sourcetype` set to "vector", the
-            following values are allowed:  "circle", "line", "fill"
-            and "symbol". With `sourcetype` set to "raster" or
-            `*image*`, only the "raster" value is allowed.
-        visible
-            Determines whether this layer is displayed
-
-        Returns
-        -------
-        Layer
-        """
-        super(Layer, self).__init__("layers")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.Layer 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.Layer`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox import layer as v_layer
-
-        # Initialize validators
-        # ---------------------
-        self._validators["below"] = v_layer.BelowValidator()
-        self._validators["circle"] = v_layer.CircleValidator()
-        self._validators["color"] = v_layer.ColorValidator()
-        self._validators["coordinates"] = v_layer.CoordinatesValidator()
-        self._validators["fill"] = v_layer.FillValidator()
-        self._validators["line"] = v_layer.LineValidator()
-        self._validators["maxzoom"] = v_layer.MaxzoomValidator()
-        self._validators["minzoom"] = v_layer.MinzoomValidator()
-        self._validators["name"] = v_layer.NameValidator()
-        self._validators["opacity"] = v_layer.OpacityValidator()
-        self._validators["source"] = v_layer.SourceValidator()
-        self._validators["sourceattribution"] = v_layer.SourceattributionValidator()
-        self._validators["sourcelayer"] = v_layer.SourcelayerValidator()
-        self._validators["sourcetype"] = v_layer.SourcetypeValidator()
-        self._validators["symbol"] = v_layer.SymbolValidator()
-        self._validators["templateitemname"] = v_layer.TemplateitemnameValidator()
-        self._validators["type"] = v_layer.TypeValidator()
-        self._validators["visible"] = v_layer.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("below", None)
-        self["below"] = below if below is not None else _v
-        _v = arg.pop("circle", None)
-        self["circle"] = circle if circle is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coordinates", None)
-        self["coordinates"] = coordinates if coordinates is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("maxzoom", None)
-        self["maxzoom"] = maxzoom if maxzoom is not None else _v
-        _v = arg.pop("minzoom", None)
-        self["minzoom"] = minzoom if minzoom is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("source", None)
-        self["source"] = source if source is not None else _v
-        _v = arg.pop("sourceattribution", None)
-        self["sourceattribution"] = (
-            sourceattribution if sourceattribution is not None else _v
-        )
-        _v = arg.pop("sourcelayer", None)
-        self["sourcelayer"] = sourcelayer if sourcelayer is not None else _v
-        _v = arg.pop("sourcetype", None)
-        self["sourcetype"] = sourcetype if sourcetype is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseLayoutHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this mapbox subplot .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this mapbox subplot .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this mapbox subplot (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this mapbox subplot (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this mapbox subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this mapbox subplot .
-        x
-            Sets the horizontal domain of this mapbox subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this mapbox subplot (in
-            plot fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this mapbox subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this mapbox subplot .
-        x
-            Sets the horizontal domain of this mapbox subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this mapbox subplot (in
-            plot fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Center(_BaseLayoutHierarchyType):
-
-    # lat
-    # ---
-    @property
-    def lat(self):
-        """
-        Sets the latitude of the center of the map (in degrees North).
-    
-        The 'lat' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["lat"]
-
-    @lat.setter
-    def lat(self, val):
-        self["lat"] = val
-
-    # lon
-    # ---
-    @property
-    def lon(self):
-        """
-        Sets the longitude of the center of the map (in degrees East).
-    
-        The 'lon' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["lon"]
-
-    @lon.setter
-    def lon(self, val):
-        self["lon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        lat
-            Sets the latitude of the center of the map (in degrees
-            North).
-        lon
-            Sets the longitude of the center of the map (in degrees
-            East).
-        """
-
-    def __init__(self, arg=None, lat=None, lon=None, **kwargs):
-        """
-        Construct a new Center object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.Center`
-        lat
-            Sets the latitude of the center of the map (in degrees
-            North).
-        lon
-            Sets the longitude of the center of the map (in degrees
-            East).
-
-        Returns
-        -------
-        Center
-        """
-        super(Center, self).__init__("center")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.Center 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.Center`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox import center as v_center
-
-        # Initialize validators
-        # ---------------------
-        self._validators["lat"] = v_center.LatValidator()
-        self._validators["lon"] = v_center.LonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("lat", None)
-        self["lat"] = lat if lat is not None else _v
-        _v = arg.pop("lon", None)
-        self["lon"] = lon if lon is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Center", "Domain", "Layer", "Layer", "layer"]
-
-from plotly.graph_objs.layout.mapbox import layer
+import sys
+
+if sys.version_info < (3, 7):
+    from ._layer import Layer
+    from ._domain import Domain
+    from ._center import Center
+    from . import layer
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".layer"], ["._layer.Layer", "._domain.Domain", "._center.Center"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/_center.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/_center.py
new file mode 100644
index 00000000000..084e695990d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/_center.py
@@ -0,0 +1,130 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Center(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox"
+    _path_str = "layout.mapbox.center"
+    _valid_props = {"lat", "lon"}
+
+    # lat
+    # ---
+    @property
+    def lat(self):
+        """
+        Sets the latitude of the center of the map (in degrees North).
+    
+        The 'lat' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["lat"]
+
+    @lat.setter
+    def lat(self, val):
+        self["lat"] = val
+
+    # lon
+    # ---
+    @property
+    def lon(self):
+        """
+        Sets the longitude of the center of the map (in degrees East).
+    
+        The 'lon' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["lon"]
+
+    @lon.setter
+    def lon(self, val):
+        self["lon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        lat
+            Sets the latitude of the center of the map (in degrees
+            North).
+        lon
+            Sets the longitude of the center of the map (in degrees
+            East).
+        """
+
+    def __init__(self, arg=None, lat=None, lon=None, **kwargs):
+        """
+        Construct a new Center object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.Center`
+        lat
+            Sets the latitude of the center of the map (in degrees
+            North).
+        lon
+            Sets the longitude of the center of the map (in degrees
+            East).
+
+        Returns
+        -------
+        Center
+        """
+        super(Center, self).__init__("center")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.Center 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.Center`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("lat", None)
+        _v = lat if lat is not None else _v
+        if _v is not None:
+            self["lat"] = _v
+        _v = arg.pop("lon", None)
+        _v = lon if lon is not None else _v
+        if _v is not None:
+            self["lon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/_domain.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/_domain.py
new file mode 100644
index 00000000000..17b367b8c62
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox"
+    _path_str = "layout.mapbox.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this mapbox subplot .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this mapbox subplot .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this mapbox subplot (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this mapbox subplot (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this mapbox subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this mapbox subplot .
+        x
+            Sets the horizontal domain of this mapbox subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this mapbox subplot (in
+            plot fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this mapbox subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this mapbox subplot .
+        x
+            Sets the horizontal domain of this mapbox subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this mapbox subplot (in
+            plot fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/_layer.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/_layer.py
new file mode 100644
index 00000000000..4045848ebbe
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/_layer.py
@@ -0,0 +1,895 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Layer(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox"
+    _path_str = "layout.mapbox.layer"
+    _valid_props = {
+        "below",
+        "circle",
+        "color",
+        "coordinates",
+        "fill",
+        "line",
+        "maxzoom",
+        "minzoom",
+        "name",
+        "opacity",
+        "source",
+        "sourceattribution",
+        "sourcelayer",
+        "sourcetype",
+        "symbol",
+        "templateitemname",
+        "type",
+        "visible",
+    }
+
+    # below
+    # -----
+    @property
+    def below(self):
+        """
+        Determines if the layer will be inserted before the layer with
+        the specified ID. If omitted or set to '', the layer will be
+        inserted above every existing layer.
+    
+        The 'below' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["below"]
+
+    @below.setter
+    def below(self, val):
+        self["below"] = val
+
+    # circle
+    # ------
+    @property
+    def circle(self):
+        """
+        The 'circle' property is an instance of Circle
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Circle`
+          - A dict of string/value properties that will be passed
+            to the Circle constructor
+    
+            Supported dict properties:
+                
+                radius
+                    Sets the circle radius
+                    (mapbox.layer.paint.circle-radius). Has an
+                    effect only when `type` is set to "circle".
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.layer.Circle
+        """
+        return self["circle"]
+
+    @circle.setter
+    def circle(self, val):
+        self["circle"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the primary layer color. If `type` is "circle", color
+        corresponds to the circle color (mapbox.layer.paint.circle-
+        color) If `type` is "line", color corresponds to the line color
+        (mapbox.layer.paint.line-color) If `type` is "fill", color
+        corresponds to the fill color (mapbox.layer.paint.fill-color)
+        If `type` is "symbol", color corresponds to the icon color
+        (mapbox.layer.paint.icon-color)
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coordinates
+    # -----------
+    @property
+    def coordinates(self):
+        """
+        Sets the coordinates array contains [longitude, latitude] pairs
+        for the image corners listed in clockwise order: top left, top
+        right, bottom right, bottom left. Only has an effect for
+        "image" `sourcetype`.
+    
+        The 'coordinates' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["coordinates"]
+
+    @coordinates.setter
+    def coordinates(self, val):
+        self["coordinates"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        The 'fill' property is an instance of Fill
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Fill`
+          - A dict of string/value properties that will be passed
+            to the Fill constructor
+    
+            Supported dict properties:
+                
+                outlinecolor
+                    Sets the fill outline color
+                    (mapbox.layer.paint.fill-outline-color). Has an
+                    effect only when `type` is set to "fill".
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.layer.Fill
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                dash
+                    Sets the length of dashes and gaps
+                    (mapbox.layer.paint.line-dasharray). Has an
+                    effect only when `type` is set to "line".
+                dashsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  dash .
+                width
+                    Sets the line width (mapbox.layer.paint.line-
+                    width). Has an effect only when `type` is set
+                    to "line".
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.layer.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # maxzoom
+    # -------
+    @property
+    def maxzoom(self):
+        """
+        Sets the maximum zoom level (mapbox.layer.maxzoom). At zoom
+        levels equal to or greater than the maxzoom, the layer will be
+        hidden.
+    
+        The 'maxzoom' property is a number and may be specified as:
+          - An int or float in the interval [0, 24]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxzoom"]
+
+    @maxzoom.setter
+    def maxzoom(self, val):
+        self["maxzoom"] = val
+
+    # minzoom
+    # -------
+    @property
+    def minzoom(self):
+        """
+        Sets the minimum zoom level (mapbox.layer.minzoom). At zoom
+        levels less than the minzoom, the layer will be hidden.
+    
+        The 'minzoom' property is a number and may be specified as:
+          - An int or float in the interval [0, 24]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["minzoom"]
+
+    @minzoom.setter
+    def minzoom(self, val):
+        self["minzoom"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the layer. If `type` is "circle", opacity
+        corresponds to the circle opacity (mapbox.layer.paint.circle-
+        opacity) If `type` is "line", opacity corresponds to the line
+        opacity (mapbox.layer.paint.line-opacity) If `type` is "fill",
+        opacity corresponds to the fill opacity
+        (mapbox.layer.paint.fill-opacity) If `type` is "symbol",
+        opacity corresponds to the icon/text opacity
+        (mapbox.layer.paint.text-opacity)
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # source
+    # ------
+    @property
+    def source(self):
+        """
+        Sets the source data for this layer (mapbox.layer.source). When
+        `sourcetype` is set to "geojson", `source` can be a URL to a
+        GeoJSON or a GeoJSON object. When `sourcetype` is set to
+        "vector" or "raster", `source` can be a URL or an array of tile
+        URLs. When `sourcetype` is set to "image", `source` can be a
+        URL to an image.
+    
+        The 'source' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["source"]
+
+    @source.setter
+    def source(self, val):
+        self["source"] = val
+
+    # sourceattribution
+    # -----------------
+    @property
+    def sourceattribution(self):
+        """
+        Sets the attribution for this source.
+    
+        The 'sourceattribution' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["sourceattribution"]
+
+    @sourceattribution.setter
+    def sourceattribution(self, val):
+        self["sourceattribution"] = val
+
+    # sourcelayer
+    # -----------
+    @property
+    def sourcelayer(self):
+        """
+        Specifies the layer to use from a vector tile source
+        (mapbox.layer.source-layer). Required for "vector" source type
+        that supports multiple layers.
+    
+        The 'sourcelayer' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["sourcelayer"]
+
+    @sourcelayer.setter
+    def sourcelayer(self, val):
+        self["sourcelayer"] = val
+
+    # sourcetype
+    # ----------
+    @property
+    def sourcetype(self):
+        """
+        Sets the source type for this layer, that is the type of the
+        layer data.
+    
+        The 'sourcetype' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['geojson', 'vector', 'raster', 'image']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sourcetype"]
+
+    @sourcetype.setter
+    def sourcetype(self, val):
+        self["sourcetype"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        The 'symbol' property is an instance of Symbol
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.Symbol`
+          - A dict of string/value properties that will be passed
+            to the Symbol constructor
+    
+            Supported dict properties:
+                
+                icon
+                    Sets the symbol icon image
+                    (mapbox.layer.layout.icon-image). Full list:
+                    https://www.mapbox.com/maki-icons/
+                iconsize
+                    Sets the symbol icon size
+                    (mapbox.layer.layout.icon-size). Has an effect
+                    only when `type` is set to "symbol".
+                placement
+                    Sets the symbol and/or text placement
+                    (mapbox.layer.layout.symbol-placement). If
+                    `placement` is "point", the label is placed
+                    where the geometry is located If `placement` is
+                    "line", the label is placed along the line of
+                    the geometry If `placement` is "line-center",
+                    the label is placed on the center of the
+                    geometry
+                text
+                    Sets the symbol text (mapbox.layer.layout.text-
+                    field).
+                textfont
+                    Sets the icon text font
+                    (color=mapbox.layer.paint.text-color,
+                    size=mapbox.layer.layout.text-size). Has an
+                    effect only when `type` is set to "symbol".
+                textposition
+                    Sets the positions of the `text` elements with
+                    respects to the (x,y) coordinates.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.layer.Symbol
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the layer type, that is the how the layer data set in
+        `source` will be rendered With `sourcetype` set to "geojson",
+        the following values are allowed: "circle", "line", "fill" and
+        "symbol". but note that "line" and "fill" are not compatible
+        with Point GeoJSON geometries. With `sourcetype` set to
+        "vector", the following values are allowed:  "circle", "line",
+        "fill" and "symbol". With `sourcetype` set to "raster" or
+        `*image*`, only the "raster" value is allowed.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['circle', 'line', 'fill', 'symbol', 'raster']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether this layer is displayed
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        below
+            Determines if the layer will be inserted before the
+            layer with the specified ID. If omitted or set to '',
+            the layer will be inserted above every existing layer.
+        circle
+            :class:`plotly.graph_objects.layout.mapbox.layer.Circle
+            ` instance or dict with compatible properties
+        color
+            Sets the primary layer color. If `type` is "circle",
+            color corresponds to the circle color
+            (mapbox.layer.paint.circle-color) If `type` is "line",
+            color corresponds to the line color
+            (mapbox.layer.paint.line-color) If `type` is "fill",
+            color corresponds to the fill color
+            (mapbox.layer.paint.fill-color) If `type` is "symbol",
+            color corresponds to the icon color
+            (mapbox.layer.paint.icon-color)
+        coordinates
+            Sets the coordinates array contains [longitude,
+            latitude] pairs for the image corners listed in
+            clockwise order: top left, top right, bottom right,
+            bottom left. Only has an effect for "image"
+            `sourcetype`.
+        fill
+            :class:`plotly.graph_objects.layout.mapbox.layer.Fill`
+            instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.layout.mapbox.layer.Line`
+            instance or dict with compatible properties
+        maxzoom
+            Sets the maximum zoom level (mapbox.layer.maxzoom). At
+            zoom levels equal to or greater than the maxzoom, the
+            layer will be hidden.
+        minzoom
+            Sets the minimum zoom level (mapbox.layer.minzoom). At
+            zoom levels less than the minzoom, the layer will be
+            hidden.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the layer. If `type` is "circle",
+            opacity corresponds to the circle opacity
+            (mapbox.layer.paint.circle-opacity) If `type` is
+            "line", opacity corresponds to the line opacity
+            (mapbox.layer.paint.line-opacity) If `type` is "fill",
+            opacity corresponds to the fill opacity
+            (mapbox.layer.paint.fill-opacity) If `type` is
+            "symbol", opacity corresponds to the icon/text opacity
+            (mapbox.layer.paint.text-opacity)
+        source
+            Sets the source data for this layer
+            (mapbox.layer.source). When `sourcetype` is set to
+            "geojson", `source` can be a URL to a GeoJSON or a
+            GeoJSON object. When `sourcetype` is set to "vector" or
+            "raster", `source` can be a URL or an array of tile
+            URLs. When `sourcetype` is set to "image", `source` can
+            be a URL to an image.
+        sourceattribution
+            Sets the attribution for this source.
+        sourcelayer
+            Specifies the layer to use from a vector tile source
+            (mapbox.layer.source-layer). Required for "vector"
+            source type that supports multiple layers.
+        sourcetype
+            Sets the source type for this layer, that is the type
+            of the layer data.
+        symbol
+            :class:`plotly.graph_objects.layout.mapbox.layer.Symbol
+            ` instance or dict with compatible properties
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        type
+            Sets the layer type, that is the how the layer data set
+            in `source` will be rendered With `sourcetype` set to
+            "geojson", the following values are allowed: "circle",
+            "line", "fill" and "symbol". but note that "line" and
+            "fill" are not compatible with Point GeoJSON
+            geometries. With `sourcetype` set to "vector", the
+            following values are allowed:  "circle", "line", "fill"
+            and "symbol". With `sourcetype` set to "raster" or
+            `*image*`, only the "raster" value is allowed.
+        visible
+            Determines whether this layer is displayed
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        below=None,
+        circle=None,
+        color=None,
+        coordinates=None,
+        fill=None,
+        line=None,
+        maxzoom=None,
+        minzoom=None,
+        name=None,
+        opacity=None,
+        source=None,
+        sourceattribution=None,
+        sourcelayer=None,
+        sourcetype=None,
+        symbol=None,
+        templateitemname=None,
+        type=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Layer object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.Layer`
+        below
+            Determines if the layer will be inserted before the
+            layer with the specified ID. If omitted or set to '',
+            the layer will be inserted above every existing layer.
+        circle
+            :class:`plotly.graph_objects.layout.mapbox.layer.Circle
+            ` instance or dict with compatible properties
+        color
+            Sets the primary layer color. If `type` is "circle",
+            color corresponds to the circle color
+            (mapbox.layer.paint.circle-color) If `type` is "line",
+            color corresponds to the line color
+            (mapbox.layer.paint.line-color) If `type` is "fill",
+            color corresponds to the fill color
+            (mapbox.layer.paint.fill-color) If `type` is "symbol",
+            color corresponds to the icon color
+            (mapbox.layer.paint.icon-color)
+        coordinates
+            Sets the coordinates array contains [longitude,
+            latitude] pairs for the image corners listed in
+            clockwise order: top left, top right, bottom right,
+            bottom left. Only has an effect for "image"
+            `sourcetype`.
+        fill
+            :class:`plotly.graph_objects.layout.mapbox.layer.Fill`
+            instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.layout.mapbox.layer.Line`
+            instance or dict with compatible properties
+        maxzoom
+            Sets the maximum zoom level (mapbox.layer.maxzoom). At
+            zoom levels equal to or greater than the maxzoom, the
+            layer will be hidden.
+        minzoom
+            Sets the minimum zoom level (mapbox.layer.minzoom). At
+            zoom levels less than the minzoom, the layer will be
+            hidden.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the layer. If `type` is "circle",
+            opacity corresponds to the circle opacity
+            (mapbox.layer.paint.circle-opacity) If `type` is
+            "line", opacity corresponds to the line opacity
+            (mapbox.layer.paint.line-opacity) If `type` is "fill",
+            opacity corresponds to the fill opacity
+            (mapbox.layer.paint.fill-opacity) If `type` is
+            "symbol", opacity corresponds to the icon/text opacity
+            (mapbox.layer.paint.text-opacity)
+        source
+            Sets the source data for this layer
+            (mapbox.layer.source). When `sourcetype` is set to
+            "geojson", `source` can be a URL to a GeoJSON or a
+            GeoJSON object. When `sourcetype` is set to "vector" or
+            "raster", `source` can be a URL or an array of tile
+            URLs. When `sourcetype` is set to "image", `source` can
+            be a URL to an image.
+        sourceattribution
+            Sets the attribution for this source.
+        sourcelayer
+            Specifies the layer to use from a vector tile source
+            (mapbox.layer.source-layer). Required for "vector"
+            source type that supports multiple layers.
+        sourcetype
+            Sets the source type for this layer, that is the type
+            of the layer data.
+        symbol
+            :class:`plotly.graph_objects.layout.mapbox.layer.Symbol
+            ` instance or dict with compatible properties
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        type
+            Sets the layer type, that is the how the layer data set
+            in `source` will be rendered With `sourcetype` set to
+            "geojson", the following values are allowed: "circle",
+            "line", "fill" and "symbol". but note that "line" and
+            "fill" are not compatible with Point GeoJSON
+            geometries. With `sourcetype` set to "vector", the
+            following values are allowed:  "circle", "line", "fill"
+            and "symbol". With `sourcetype` set to "raster" or
+            `*image*`, only the "raster" value is allowed.
+        visible
+            Determines whether this layer is displayed
+
+        Returns
+        -------
+        Layer
+        """
+        super(Layer, self).__init__("layers")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.Layer 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.Layer`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("below", None)
+        _v = below if below is not None else _v
+        if _v is not None:
+            self["below"] = _v
+        _v = arg.pop("circle", None)
+        _v = circle if circle is not None else _v
+        if _v is not None:
+            self["circle"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coordinates", None)
+        _v = coordinates if coordinates is not None else _v
+        if _v is not None:
+            self["coordinates"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("maxzoom", None)
+        _v = maxzoom if maxzoom is not None else _v
+        if _v is not None:
+            self["maxzoom"] = _v
+        _v = arg.pop("minzoom", None)
+        _v = minzoom if minzoom is not None else _v
+        if _v is not None:
+            self["minzoom"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("source", None)
+        _v = source if source is not None else _v
+        if _v is not None:
+            self["source"] = _v
+        _v = arg.pop("sourceattribution", None)
+        _v = sourceattribution if sourceattribution is not None else _v
+        if _v is not None:
+            self["sourceattribution"] = _v
+        _v = arg.pop("sourcelayer", None)
+        _v = sourcelayer if sourcelayer is not None else _v
+        if _v is not None:
+            self["sourcelayer"] = _v
+        _v = arg.pop("sourcetype", None)
+        _v = sourcetype if sourcetype is not None else _v
+        if _v is not None:
+            self["sourcetype"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/__init__.py
index 9354b29e9fc..4886b627b0c 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/__init__.py
@@ -1,735 +1,16 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Symbol(_BaseLayoutHierarchyType):
-
-    # icon
-    # ----
-    @property
-    def icon(self):
-        """
-        Sets the symbol icon image (mapbox.layer.layout.icon-image).
-        Full list: https://www.mapbox.com/maki-icons/
-    
-        The 'icon' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["icon"]
-
-    @icon.setter
-    def icon(self, val):
-        self["icon"] = val
-
-    # iconsize
-    # --------
-    @property
-    def iconsize(self):
-        """
-        Sets the symbol icon size (mapbox.layer.layout.icon-size). Has
-        an effect only when `type` is set to "symbol".
-    
-        The 'iconsize' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["iconsize"]
-
-    @iconsize.setter
-    def iconsize(self, val):
-        self["iconsize"] = val
-
-    # placement
-    # ---------
-    @property
-    def placement(self):
-        """
-        Sets the symbol and/or text placement
-        (mapbox.layer.layout.symbol-placement). If `placement` is
-        "point", the label is placed where the geometry is located If
-        `placement` is "line", the label is placed along the line of
-        the geometry If `placement` is "line-center", the label is
-        placed on the center of the geometry
-    
-        The 'placement' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['point', 'line', 'line-center']
-
-        Returns
-        -------
-        Any
-        """
-        return self["placement"]
-
-    @placement.setter
-    def placement(self, val):
-        self["placement"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the symbol text (mapbox.layer.layout.text-field).
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the icon text font (color=mapbox.layer.paint.text-color,
-        size=mapbox.layer.layout.text-size). Has an effect only when
-        `type` is set to "symbol".
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.symbol.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.mapbox.layer.symbol.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # textposition
-    # ------------
-    @property
-    def textposition(self):
-        """
-        Sets the positions of the `text` elements with respects to the
-        (x,y) coordinates.
-    
-        The 'textposition' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle left',
-                'middle center', 'middle right', 'bottom left', 'bottom
-                center', 'bottom right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["textposition"]
-
-    @textposition.setter
-    def textposition(self, val):
-        self["textposition"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox.layer"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        icon
-            Sets the symbol icon image (mapbox.layer.layout.icon-
-            image). Full list: https://www.mapbox.com/maki-icons/
-        iconsize
-            Sets the symbol icon size (mapbox.layer.layout.icon-
-            size). Has an effect only when `type` is set to
-            "symbol".
-        placement
-            Sets the symbol and/or text placement
-            (mapbox.layer.layout.symbol-placement). If `placement`
-            is "point", the label is placed where the geometry is
-            located If `placement` is "line", the label is placed
-            along the line of the geometry If `placement` is "line-
-            center", the label is placed on the center of the
-            geometry
-        text
-            Sets the symbol text (mapbox.layer.layout.text-field).
-        textfont
-            Sets the icon text font (color=mapbox.layer.paint.text-
-            color, size=mapbox.layer.layout.text-size). Has an
-            effect only when `type` is set to "symbol".
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        icon=None,
-        iconsize=None,
-        placement=None,
-        text=None,
-        textfont=None,
-        textposition=None,
-        **kwargs
-    ):
-        """
-        Construct a new Symbol object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.layer.Symbol`
-        icon
-            Sets the symbol icon image (mapbox.layer.layout.icon-
-            image). Full list: https://www.mapbox.com/maki-icons/
-        iconsize
-            Sets the symbol icon size (mapbox.layer.layout.icon-
-            size). Has an effect only when `type` is set to
-            "symbol".
-        placement
-            Sets the symbol and/or text placement
-            (mapbox.layer.layout.symbol-placement). If `placement`
-            is "point", the label is placed where the geometry is
-            located If `placement` is "line", the label is placed
-            along the line of the geometry If `placement` is "line-
-            center", the label is placed on the center of the
-            geometry
-        text
-            Sets the symbol text (mapbox.layer.layout.text-field).
-        textfont
-            Sets the icon text font (color=mapbox.layer.paint.text-
-            color, size=mapbox.layer.layout.text-size). Has an
-            effect only when `type` is set to "symbol".
-        textposition
-            Sets the positions of the `text` elements with respects
-            to the (x,y) coordinates.
-
-        Returns
-        -------
-        Symbol
-        """
-        super(Symbol, self).__init__("symbol")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.layer.Symbol 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Symbol`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox.layer import symbol as v_symbol
-
-        # Initialize validators
-        # ---------------------
-        self._validators["icon"] = v_symbol.IconValidator()
-        self._validators["iconsize"] = v_symbol.IconsizeValidator()
-        self._validators["placement"] = v_symbol.PlacementValidator()
-        self._validators["text"] = v_symbol.TextValidator()
-        self._validators["textfont"] = v_symbol.TextfontValidator()
-        self._validators["textposition"] = v_symbol.TextpositionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("icon", None)
-        self["icon"] = icon if icon is not None else _v
-        _v = arg.pop("iconsize", None)
-        self["iconsize"] = iconsize if iconsize is not None else _v
-        _v = arg.pop("placement", None)
-        self["placement"] = placement if placement is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("textposition", None)
-        self["textposition"] = textposition if textposition is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Line(_BaseLayoutHierarchyType):
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the length of dashes and gaps (mapbox.layer.paint.line-
-        dasharray). Has an effect only when `type` is set to "line".
-    
-        The 'dash' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # dashsrc
-    # -------
-    @property
-    def dashsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  dash .
-    
-        The 'dashsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["dashsrc"]
-
-    @dashsrc.setter
-    def dashsrc(self, val):
-        self["dashsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (mapbox.layer.paint.line-width). Has an
-        effect only when `type` is set to "line".
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox.layer"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dash
-            Sets the length of dashes and gaps
-            (mapbox.layer.paint.line-dasharray). Has an effect only
-            when `type` is set to "line".
-        dashsrc
-            Sets the source reference on Chart Studio Cloud for
-            dash .
-        width
-            Sets the line width (mapbox.layer.paint.line-width).
-            Has an effect only when `type` is set to "line".
-        """
-
-    def __init__(self, arg=None, dash=None, dashsrc=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.layer.Line`
-        dash
-            Sets the length of dashes and gaps
-            (mapbox.layer.paint.line-dasharray). Has an effect only
-            when `type` is set to "line".
-        dashsrc
-            Sets the source reference on Chart Studio Cloud for
-            dash .
-        width
-            Sets the line width (mapbox.layer.paint.line-width).
-            Has an effect only when `type` is set to "line".
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.layer.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox.layer import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["dashsrc"] = v_line.DashsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("dashsrc", None)
-        self["dashsrc"] = dashsrc if dashsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Fill(_BaseLayoutHierarchyType):
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the fill outline color (mapbox.layer.paint.fill-outline-
-        color). Has an effect only when `type` is set to "fill".
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox.layer"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        outlinecolor
-            Sets the fill outline color (mapbox.layer.paint.fill-
-            outline-color). Has an effect only when `type` is set
-            to "fill".
-        """
-
-    def __init__(self, arg=None, outlinecolor=None, **kwargs):
-        """
-        Construct a new Fill object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.layer.Fill`
-        outlinecolor
-            Sets the fill outline color (mapbox.layer.paint.fill-
-            outline-color). Has an effect only when `type` is set
-            to "fill".
-
-        Returns
-        -------
-        Fill
-        """
-        super(Fill, self).__init__("fill")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.layer.Fill 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Fill`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox.layer import fill as v_fill
-
-        # Initialize validators
-        # ---------------------
-        self._validators["outlinecolor"] = v_fill.OutlinecolorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Circle(_BaseLayoutHierarchyType):
-
-    # radius
-    # ------
-    @property
-    def radius(self):
-        """
-        Sets the circle radius (mapbox.layer.paint.circle-radius). Has
-        an effect only when `type` is set to "circle".
-    
-        The 'radius' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["radius"]
-
-    @radius.setter
-    def radius(self, val):
-        self["radius"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox.layer"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        radius
-            Sets the circle radius (mapbox.layer.paint.circle-
-            radius). Has an effect only when `type` is set to
-            "circle".
-        """
-
-    def __init__(self, arg=None, radius=None, **kwargs):
-        """
-        Construct a new Circle object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.mapbox.layer.Circle`
-        radius
-            Sets the circle radius (mapbox.layer.paint.circle-
-            radius). Has an effect only when `type` is set to
-            "circle".
-
-        Returns
-        -------
-        Circle
-        """
-        super(Circle, self).__init__("circle")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.layer.Circle 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Circle`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox.layer import circle as v_circle
-
-        # Initialize validators
-        # ---------------------
-        self._validators["radius"] = v_circle.RadiusValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("radius", None)
-        self["radius"] = radius if radius is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Circle", "Fill", "Line", "Symbol", "symbol"]
-
-from plotly.graph_objs.layout.mapbox.layer import symbol
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbol import Symbol
+    from ._line import Line
+    from ._fill import Fill
+    from ._circle import Circle
+    from . import symbol
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".symbol"],
+        ["._symbol.Symbol", "._line.Line", "._fill.Fill", "._circle.Circle"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_circle.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_circle.py
new file mode 100644
index 00000000000..54bdb894d93
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_circle.py
@@ -0,0 +1,103 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Circle(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox.layer"
+    _path_str = "layout.mapbox.layer.circle"
+    _valid_props = {"radius"}
+
+    # radius
+    # ------
+    @property
+    def radius(self):
+        """
+        Sets the circle radius (mapbox.layer.paint.circle-radius). Has
+        an effect only when `type` is set to "circle".
+    
+        The 'radius' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["radius"]
+
+    @radius.setter
+    def radius(self, val):
+        self["radius"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        radius
+            Sets the circle radius (mapbox.layer.paint.circle-
+            radius). Has an effect only when `type` is set to
+            "circle".
+        """
+
+    def __init__(self, arg=None, radius=None, **kwargs):
+        """
+        Construct a new Circle object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.layer.Circle`
+        radius
+            Sets the circle radius (mapbox.layer.paint.circle-
+            radius). Has an effect only when `type` is set to
+            "circle".
+
+        Returns
+        -------
+        Circle
+        """
+        super(Circle, self).__init__("circle")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.layer.Circle 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Circle`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("radius", None)
+        _v = radius if radius is not None else _v
+        if _v is not None:
+            self["radius"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_fill.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_fill.py
new file mode 100644
index 00000000000..78e8fa55fe7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_fill.py
@@ -0,0 +1,142 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Fill(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox.layer"
+    _path_str = "layout.mapbox.layer.fill"
+    _valid_props = {"outlinecolor"}
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the fill outline color (mapbox.layer.paint.fill-outline-
+        color). Has an effect only when `type` is set to "fill".
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        outlinecolor
+            Sets the fill outline color (mapbox.layer.paint.fill-
+            outline-color). Has an effect only when `type` is set
+            to "fill".
+        """
+
+    def __init__(self, arg=None, outlinecolor=None, **kwargs):
+        """
+        Construct a new Fill object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.layer.Fill`
+        outlinecolor
+            Sets the fill outline color (mapbox.layer.paint.fill-
+            outline-color). Has an effect only when `type` is set
+            to "fill".
+
+        Returns
+        -------
+        Fill
+        """
+        super(Fill, self).__init__("fill")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.layer.Fill 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Fill`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_line.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_line.py
new file mode 100644
index 00000000000..4ff186a4427
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_line.py
@@ -0,0 +1,164 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Line(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox.layer"
+    _path_str = "layout.mapbox.layer.line"
+    _valid_props = {"dash", "dashsrc", "width"}
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the length of dashes and gaps (mapbox.layer.paint.line-
+        dasharray). Has an effect only when `type` is set to "line".
+    
+        The 'dash' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # dashsrc
+    # -------
+    @property
+    def dashsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  dash .
+    
+        The 'dashsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["dashsrc"]
+
+    @dashsrc.setter
+    def dashsrc(self, val):
+        self["dashsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (mapbox.layer.paint.line-width). Has an
+        effect only when `type` is set to "line".
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dash
+            Sets the length of dashes and gaps
+            (mapbox.layer.paint.line-dasharray). Has an effect only
+            when `type` is set to "line".
+        dashsrc
+            Sets the source reference on Chart Studio Cloud for
+            dash .
+        width
+            Sets the line width (mapbox.layer.paint.line-width).
+            Has an effect only when `type` is set to "line".
+        """
+
+    def __init__(self, arg=None, dash=None, dashsrc=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.layer.Line`
+        dash
+            Sets the length of dashes and gaps
+            (mapbox.layer.paint.line-dasharray). Has an effect only
+            when `type` is set to "line".
+        dashsrc
+            Sets the source reference on Chart Studio Cloud for
+            dash .
+        width
+            Sets the line width (mapbox.layer.paint.line-width).
+            Has an effect only when `type` is set to "line".
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.layer.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("dashsrc", None)
+        _v = dashsrc if dashsrc is not None else _v
+        if _v is not None:
+            self["dashsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_symbol.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_symbol.py
new file mode 100644
index 00000000000..20f6e7acc38
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/_symbol.py
@@ -0,0 +1,314 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Symbol(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox.layer"
+    _path_str = "layout.mapbox.layer.symbol"
+    _valid_props = {"icon", "iconsize", "placement", "text", "textfont", "textposition"}
+
+    # icon
+    # ----
+    @property
+    def icon(self):
+        """
+        Sets the symbol icon image (mapbox.layer.layout.icon-image).
+        Full list: https://www.mapbox.com/maki-icons/
+    
+        The 'icon' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["icon"]
+
+    @icon.setter
+    def icon(self, val):
+        self["icon"] = val
+
+    # iconsize
+    # --------
+    @property
+    def iconsize(self):
+        """
+        Sets the symbol icon size (mapbox.layer.layout.icon-size). Has
+        an effect only when `type` is set to "symbol".
+    
+        The 'iconsize' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["iconsize"]
+
+    @iconsize.setter
+    def iconsize(self, val):
+        self["iconsize"] = val
+
+    # placement
+    # ---------
+    @property
+    def placement(self):
+        """
+        Sets the symbol and/or text placement
+        (mapbox.layer.layout.symbol-placement). If `placement` is
+        "point", the label is placed where the geometry is located If
+        `placement` is "line", the label is placed along the line of
+        the geometry If `placement` is "line-center", the label is
+        placed on the center of the geometry
+    
+        The 'placement' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['point', 'line', 'line-center']
+
+        Returns
+        -------
+        Any
+        """
+        return self["placement"]
+
+    @placement.setter
+    def placement(self, val):
+        self["placement"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the symbol text (mapbox.layer.layout.text-field).
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the icon text font (color=mapbox.layer.paint.text-color,
+        size=mapbox.layer.layout.text-size). Has an effect only when
+        `type` is set to "symbol".
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.mapbox.layer.symbol.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.mapbox.layer.symbol.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # textposition
+    # ------------
+    @property
+    def textposition(self):
+        """
+        Sets the positions of the `text` elements with respects to the
+        (x,y) coordinates.
+    
+        The 'textposition' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle left',
+                'middle center', 'middle right', 'bottom left', 'bottom
+                center', 'bottom right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["textposition"]
+
+    @textposition.setter
+    def textposition(self, val):
+        self["textposition"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        icon
+            Sets the symbol icon image (mapbox.layer.layout.icon-
+            image). Full list: https://www.mapbox.com/maki-icons/
+        iconsize
+            Sets the symbol icon size (mapbox.layer.layout.icon-
+            size). Has an effect only when `type` is set to
+            "symbol".
+        placement
+            Sets the symbol and/or text placement
+            (mapbox.layer.layout.symbol-placement). If `placement`
+            is "point", the label is placed where the geometry is
+            located If `placement` is "line", the label is placed
+            along the line of the geometry If `placement` is "line-
+            center", the label is placed on the center of the
+            geometry
+        text
+            Sets the symbol text (mapbox.layer.layout.text-field).
+        textfont
+            Sets the icon text font (color=mapbox.layer.paint.text-
+            color, size=mapbox.layer.layout.text-size). Has an
+            effect only when `type` is set to "symbol".
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        icon=None,
+        iconsize=None,
+        placement=None,
+        text=None,
+        textfont=None,
+        textposition=None,
+        **kwargs
+    ):
+        """
+        Construct a new Symbol object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.mapbox.layer.Symbol`
+        icon
+            Sets the symbol icon image (mapbox.layer.layout.icon-
+            image). Full list: https://www.mapbox.com/maki-icons/
+        iconsize
+            Sets the symbol icon size (mapbox.layer.layout.icon-
+            size). Has an effect only when `type` is set to
+            "symbol".
+        placement
+            Sets the symbol and/or text placement
+            (mapbox.layer.layout.symbol-placement). If `placement`
+            is "point", the label is placed where the geometry is
+            located If `placement` is "line", the label is placed
+            along the line of the geometry If `placement` is "line-
+            center", the label is placed on the center of the
+            geometry
+        text
+            Sets the symbol text (mapbox.layer.layout.text-field).
+        textfont
+            Sets the icon text font (color=mapbox.layer.paint.text-
+            color, size=mapbox.layer.layout.text-size). Has an
+            effect only when `type` is set to "symbol".
+        textposition
+            Sets the positions of the `text` elements with respects
+            to the (x,y) coordinates.
+
+        Returns
+        -------
+        Symbol
+        """
+        super(Symbol, self).__init__("symbol")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.layer.Symbol 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.layer.Symbol`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("icon", None)
+        _v = icon if icon is not None else _v
+        if _v is not None:
+            self["icon"] = _v
+        _v = arg.pop("iconsize", None)
+        _v = iconsize if iconsize is not None else _v
+        if _v is not None:
+            self["iconsize"] = _v
+        _v = arg.pop("placement", None)
+        _v = placement if placement is not None else _v
+        if _v is not None:
+            self["placement"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("textposition", None)
+        _v = textposition if textposition is not None else _v
+        if _v is not None:
+            self["textposition"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/__init__.py
index 584e92547bb..9b414c35677 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/__init__.py
@@ -1,231 +1,10 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.mapbox.layer.symbol"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Sets the icon text font (color=mapbox.layer.paint.text-color,
-        size=mapbox.layer.layout.text-size). Has an effect only when
-        `type` is set to "symbol".
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.mapbox.
-            layer.symbol.Textfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.mapbox.layer.symbol.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.mapbox.layer.symbol.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.mapbox.layer.symbol import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/_textfont.py b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/_textfont.py
new file mode 100644
index 00000000000..8a0a781147f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/mapbox/layer/symbol/_textfont.py
@@ -0,0 +1,228 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.mapbox.layer.symbol"
+    _path_str = "layout.mapbox.layer.symbol.textfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Sets the icon text font (color=mapbox.layer.paint.text-color,
+        size=mapbox.layer.layout.text-size). Has an effect only when
+        `type` is set to "symbol".
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.mapbox.
+            layer.symbol.Textfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.mapbox.layer.symbol.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.mapbox.layer.symbol.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/polar/__init__.py
index 652f40e7b39..7f5c350ca61 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/polar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/__init__.py
@@ -1,4307 +1,16 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class RadialAxis(_BaseLayoutHierarchyType):
-
-    # angle
-    # -----
-    @property
-    def angle(self):
-        """
-        Sets the angle (in degrees) from which the radial axis is
-        drawn. Note that by default, radial axis line on the theta=0
-        line corresponds to a line pointing right (like what
-        mathematicians prefer). Defaults to the first `polar.sector`
-        angle.
-    
-        The 'angle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["angle"]
-
-    @angle.setter
-    def angle(self, val):
-        self["angle"] = val
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the calendar system to use for `range` and `tick0` if this
-        is a date axis. This does not set the calendar for interpreting
-        data on this axis, that's specified in the trace or via the
-        global `layout.calendar`
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If *tozero*`, the range extends to 0, regardless of the input
-        data If "nonnegative", the range is non-negative, regardless of
-        the input data. If "normal", the range is computed in relation
-        to the extrema of the input data (same behavior as for
-        cartesian axes).
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['tozero', 'nonnegative', 'normal']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines on which side of radial axis line the tick and tick
-        labels appear.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['clockwise', 'counterclockwise']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.radialaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.polar.radialaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.polar.radialaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.layout.polar.radial
-        axis.tickformatstopdefaults), sets the default property values
-        to use for elements of layout.polar.radialaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.radialaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.radialaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.polar.radialaxis.title.font
-        instead. Sets this axis' title font. Note that the title's font
-        used to be customized by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'log', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `range`,
-        `autorange`, `angle`, and `title` if in `editable: true`
-        configuration. Defaults to `polar<N>.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        angle
-            Sets the angle (in degrees) from which the radial axis
-            is drawn. Note that by default, radial axis line on the
-            theta=0 line corresponds to a line pointing right (like
-            what mathematicians prefer). Defaults to the first
-            `polar.sector` angle.
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If *tozero*`, the range extends to 0, regardless of the
-            input data If "nonnegative", the range is non-negative,
-            regardless of the input data. If "normal", the range is
-            computed in relation to the extrema of the input data
-            (same behavior as for cartesian axes).
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        side
-            Determines on which side of radial axis line the tick
-            and tick labels appear.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.polar.ra
-            dialaxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.pola
-            r.radialaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.polar.radialaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.polar.radialaxis.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            layout.polar.radialaxis.title.font instead. Sets this
-            axis' title font. Note that the title's font used to be
-            customized by the now deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `range`, `autorange`, `angle`, and `title` if in
-            `editable: true` configuration. Defaults to
-            `polar<N>.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        angle=None,
-        autorange=None,
-        calendar=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        nticks=None,
-        range=None,
-        rangemode=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        side=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        type=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new RadialAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.polar.RadialAxis`
-        angle
-            Sets the angle (in degrees) from which the radial axis
-            is drawn. Note that by default, radial axis line on the
-            theta=0 line corresponds to a line pointing right (like
-            what mathematicians prefer). Defaults to the first
-            `polar.sector` angle.
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If *tozero*`, the range extends to 0, regardless of the
-            input data If "nonnegative", the range is non-negative,
-            regardless of the input data. If "normal", the range is
-            computed in relation to the extrema of the input data
-            (same behavior as for cartesian axes).
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        side
-            Determines on which side of radial axis line the tick
-            and tick labels appear.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.polar.ra
-            dialaxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.pola
-            r.radialaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.polar.radialaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.polar.radialaxis.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            layout.polar.radialaxis.title.font instead. Sets this
-            axis' title font. Note that the title's font used to be
-            customized by the now deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `range`, `autorange`, `angle`, and `title` if in
-            `editable: true` configuration. Defaults to
-            `polar<N>.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-
-        Returns
-        -------
-        RadialAxis
-        """
-        super(RadialAxis, self).__init__("radialaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.RadialAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.RadialAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar import radialaxis as v_radialaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["angle"] = v_radialaxis.AngleValidator()
-        self._validators["autorange"] = v_radialaxis.AutorangeValidator()
-        self._validators["calendar"] = v_radialaxis.CalendarValidator()
-        self._validators["categoryarray"] = v_radialaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_radialaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_radialaxis.CategoryorderValidator()
-        self._validators["color"] = v_radialaxis.ColorValidator()
-        self._validators["dtick"] = v_radialaxis.DtickValidator()
-        self._validators["exponentformat"] = v_radialaxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_radialaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_radialaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_radialaxis.HoverformatValidator()
-        self._validators["layer"] = v_radialaxis.LayerValidator()
-        self._validators["linecolor"] = v_radialaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_radialaxis.LinewidthValidator()
-        self._validators["nticks"] = v_radialaxis.NticksValidator()
-        self._validators["range"] = v_radialaxis.RangeValidator()
-        self._validators["rangemode"] = v_radialaxis.RangemodeValidator()
-        self._validators[
-            "separatethousands"
-        ] = v_radialaxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_radialaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_radialaxis.ShowgridValidator()
-        self._validators["showline"] = v_radialaxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_radialaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_radialaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_radialaxis.ShowticksuffixValidator()
-        self._validators["side"] = v_radialaxis.SideValidator()
-        self._validators["tick0"] = v_radialaxis.Tick0Validator()
-        self._validators["tickangle"] = v_radialaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_radialaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_radialaxis.TickfontValidator()
-        self._validators["tickformat"] = v_radialaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_radialaxis.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_radialaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_radialaxis.TicklenValidator()
-        self._validators["tickmode"] = v_radialaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_radialaxis.TickprefixValidator()
-        self._validators["ticks"] = v_radialaxis.TicksValidator()
-        self._validators["ticksuffix"] = v_radialaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_radialaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_radialaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_radialaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_radialaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_radialaxis.TickwidthValidator()
-        self._validators["title"] = v_radialaxis.TitleValidator()
-        self._validators["type"] = v_radialaxis.TypeValidator()
-        self._validators["uirevision"] = v_radialaxis.UirevisionValidator()
-        self._validators["visible"] = v_radialaxis.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("angle", None)
-        self["angle"] = angle if angle is not None else _v
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseLayoutHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this polar subplot .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this polar subplot .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this polar subplot (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this polar subplot (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this polar subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this polar subplot .
-        x
-            Sets the horizontal domain of this polar subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this polar subplot (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.polar.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this polar subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this polar subplot .
-        x
-            Sets the horizontal domain of this polar subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this polar subplot (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class AngularAxis(_BaseLayoutHierarchyType):
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # direction
-    # ---------
-    @property
-    def direction(self):
-        """
-        Sets the direction corresponding to positive angles.
-    
-        The 'direction' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['counterclockwise', 'clockwise']
-
-        Returns
-        -------
-        Any
-        """
-        return self["direction"]
-
-    @direction.setter
-    def direction(self, val):
-        self["direction"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # period
-    # ------
-    @property
-    def period(self):
-        """
-        Set the angular period. Has an effect only when
-        `angularaxis.type` is "category".
-    
-        The 'period' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["period"]
-
-    @period.setter
-    def period(self, val):
-        self["period"] = val
-
-    # rotation
-    # --------
-    @property
-    def rotation(self):
-        """
-        Sets that start position (in degrees) of the angular axis By
-        default, polar subplots with `direction` set to
-        "counterclockwise" get a `rotation` of 0 which corresponds to
-        due East (like what mathematicians prefer). In turn, polar with
-        `direction` set to "clockwise" get a rotation of 90 which
-        corresponds to due North (like on a compass),
-    
-        The 'rotation' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["rotation"]
-
-    @rotation.setter
-    def rotation(self, val):
-        self["rotation"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thetaunit
-    # ---------
-    @property
-    def thetaunit(self):
-        """
-        Sets the format unit of the formatted "theta" values. Has an
-        effect only when `angularaxis.type` is "linear".
-    
-        The 'thetaunit' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radians', 'degrees']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thetaunit"]
-
-    @thetaunit.setter
-    def thetaunit(self, val):
-        self["thetaunit"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.angularaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.polar.angularaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.polar.angularaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.layout.polar.angula
-        raxis.tickformatstopdefaults), sets the default property values
-        to use for elements of layout.polar.angularaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.angularaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the angular axis type. If "linear", set `thetaunit` to
-        determine the unit in which axis value are shown. If *category,
-        use `period` to set the number of integer coordinates around
-        polar axis.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `rotation`.
-        Defaults to `polar<N>.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        direction
-            Sets the direction corresponding to positive angles.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        period
-            Set the angular period. Has an effect only when
-            `angularaxis.type` is "category".
-        rotation
-            Sets that start position (in degrees) of the angular
-            axis By default, polar subplots with `direction` set to
-            "counterclockwise" get a `rotation` of 0 which
-            corresponds to due East (like what mathematicians
-            prefer). In turn, polar with `direction` set to
-            "clockwise" get a rotation of 90 which corresponds to
-            due North (like on a compass),
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thetaunit
-            Sets the format unit of the formatted "theta" values.
-            Has an effect only when `angularaxis.type` is "linear".
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.polar.an
-            gularaxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.pola
-            r.angularaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.polar.angularaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        type
-            Sets the angular axis type. If "linear", set
-            `thetaunit` to determine the unit in which axis value
-            are shown. If *category, use `period` to set the number
-            of integer coordinates around polar axis.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `rotation`. Defaults to `polar<N>.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        direction=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        nticks=None,
-        period=None,
-        rotation=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thetaunit=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        type=None,
-        uirevision=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new AngularAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.polar.AngularAxis`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        direction
-            Sets the direction corresponding to positive angles.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        period
-            Set the angular period. Has an effect only when
-            `angularaxis.type` is "category".
-        rotation
-            Sets that start position (in degrees) of the angular
-            axis By default, polar subplots with `direction` set to
-            "counterclockwise" get a `rotation` of 0 which
-            corresponds to due East (like what mathematicians
-            prefer). In turn, polar with `direction` set to
-            "clockwise" get a rotation of 90 which corresponds to
-            due North (like on a compass),
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thetaunit
-            Sets the format unit of the formatted "theta" values.
-            Has an effect only when `angularaxis.type` is "linear".
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.polar.an
-            gularaxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.pola
-            r.angularaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.polar.angularaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        type
-            Sets the angular axis type. If "linear", set
-            `thetaunit` to determine the unit in which axis value
-            are shown. If *category, use `period` to set the number
-            of integer coordinates around polar axis.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `rotation`. Defaults to `polar<N>.uirevision`.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-
-        Returns
-        -------
-        AngularAxis
-        """
-        super(AngularAxis, self).__init__("angularaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.AngularAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.AngularAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar import angularaxis as v_angularaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["categoryarray"] = v_angularaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_angularaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_angularaxis.CategoryorderValidator()
-        self._validators["color"] = v_angularaxis.ColorValidator()
-        self._validators["direction"] = v_angularaxis.DirectionValidator()
-        self._validators["dtick"] = v_angularaxis.DtickValidator()
-        self._validators["exponentformat"] = v_angularaxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_angularaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_angularaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_angularaxis.HoverformatValidator()
-        self._validators["layer"] = v_angularaxis.LayerValidator()
-        self._validators["linecolor"] = v_angularaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_angularaxis.LinewidthValidator()
-        self._validators["nticks"] = v_angularaxis.NticksValidator()
-        self._validators["period"] = v_angularaxis.PeriodValidator()
-        self._validators["rotation"] = v_angularaxis.RotationValidator()
-        self._validators[
-            "separatethousands"
-        ] = v_angularaxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_angularaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_angularaxis.ShowgridValidator()
-        self._validators["showline"] = v_angularaxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_angularaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_angularaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_angularaxis.ShowticksuffixValidator()
-        self._validators["thetaunit"] = v_angularaxis.ThetaunitValidator()
-        self._validators["tick0"] = v_angularaxis.Tick0Validator()
-        self._validators["tickangle"] = v_angularaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_angularaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_angularaxis.TickfontValidator()
-        self._validators["tickformat"] = v_angularaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_angularaxis.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_angularaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_angularaxis.TicklenValidator()
-        self._validators["tickmode"] = v_angularaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_angularaxis.TickprefixValidator()
-        self._validators["ticks"] = v_angularaxis.TicksValidator()
-        self._validators["ticksuffix"] = v_angularaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_angularaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_angularaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_angularaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_angularaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_angularaxis.TickwidthValidator()
-        self._validators["type"] = v_angularaxis.TypeValidator()
-        self._validators["uirevision"] = v_angularaxis.UirevisionValidator()
-        self._validators["visible"] = v_angularaxis.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("direction", None)
-        self["direction"] = direction if direction is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("period", None)
-        self["period"] = period if period is not None else _v
-        _v = arg.pop("rotation", None)
-        self["rotation"] = rotation if rotation is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thetaunit", None)
-        self["thetaunit"] = thetaunit if thetaunit is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["AngularAxis", "Domain", "RadialAxis", "angularaxis", "radialaxis"]
-
-from plotly.graph_objs.layout.polar import radialaxis
-from plotly.graph_objs.layout.polar import angularaxis
+import sys
+
+if sys.version_info < (3, 7):
+    from ._radialaxis import RadialAxis
+    from ._domain import Domain
+    from ._angularaxis import AngularAxis
+    from . import radialaxis
+    from . import angularaxis
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".radialaxis", ".angularaxis"],
+        ["._radialaxis.RadialAxis", "._domain.Domain", "._angularaxis.AngularAxis"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/_angularaxis.py b/packages/python/plotly/plotly/graph_objs/layout/polar/_angularaxis.py
new file mode 100644
index 00000000000..47d8c9c119a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/_angularaxis.py
@@ -0,0 +1,2011 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class AngularAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar"
+    _path_str = "layout.polar.angularaxis"
+    _valid_props = {
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "direction",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "nticks",
+        "period",
+        "rotation",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thetaunit",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "type",
+        "uirevision",
+        "visible",
+    }
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # direction
+    # ---------
+    @property
+    def direction(self):
+        """
+        Sets the direction corresponding to positive angles.
+    
+        The 'direction' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['counterclockwise', 'clockwise']
+
+        Returns
+        -------
+        Any
+        """
+        return self["direction"]
+
+    @direction.setter
+    def direction(self, val):
+        self["direction"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # period
+    # ------
+    @property
+    def period(self):
+        """
+        Set the angular period. Has an effect only when
+        `angularaxis.type` is "category".
+    
+        The 'period' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["period"]
+
+    @period.setter
+    def period(self, val):
+        self["period"] = val
+
+    # rotation
+    # --------
+    @property
+    def rotation(self):
+        """
+        Sets that start position (in degrees) of the angular axis By
+        default, polar subplots with `direction` set to
+        "counterclockwise" get a `rotation` of 0 which corresponds to
+        due East (like what mathematicians prefer). In turn, polar with
+        `direction` set to "clockwise" get a rotation of 90 which
+        corresponds to due North (like on a compass),
+    
+        The 'rotation' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["rotation"]
+
+    @rotation.setter
+    def rotation(self, val):
+        self["rotation"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thetaunit
+    # ---------
+    @property
+    def thetaunit(self):
+        """
+        Sets the format unit of the formatted "theta" values. Has an
+        effect only when `angularaxis.type` is "linear".
+    
+        The 'thetaunit' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radians', 'degrees']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thetaunit"]
+
+    @thetaunit.setter
+    def thetaunit(self, val):
+        self["thetaunit"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.angularaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.polar.angularaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.polar.angularaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.layout.polar.angula
+        raxis.tickformatstopdefaults), sets the default property values
+        to use for elements of layout.polar.angularaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.angularaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the angular axis type. If "linear", set `thetaunit` to
+        determine the unit in which axis value are shown. If *category,
+        use `period` to set the number of integer coordinates around
+        polar axis.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `rotation`.
+        Defaults to `polar<N>.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        direction
+            Sets the direction corresponding to positive angles.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        period
+            Set the angular period. Has an effect only when
+            `angularaxis.type` is "category".
+        rotation
+            Sets that start position (in degrees) of the angular
+            axis By default, polar subplots with `direction` set to
+            "counterclockwise" get a `rotation` of 0 which
+            corresponds to due East (like what mathematicians
+            prefer). In turn, polar with `direction` set to
+            "clockwise" get a rotation of 90 which corresponds to
+            due North (like on a compass),
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thetaunit
+            Sets the format unit of the formatted "theta" values.
+            Has an effect only when `angularaxis.type` is "linear".
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.polar.an
+            gularaxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.pola
+            r.angularaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.polar.angularaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        type
+            Sets the angular axis type. If "linear", set
+            `thetaunit` to determine the unit in which axis value
+            are shown. If *category, use `period` to set the number
+            of integer coordinates around polar axis.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `rotation`. Defaults to `polar<N>.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        direction=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        nticks=None,
+        period=None,
+        rotation=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thetaunit=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        type=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new AngularAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.polar.AngularAxis`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        direction
+            Sets the direction corresponding to positive angles.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        period
+            Set the angular period. Has an effect only when
+            `angularaxis.type` is "category".
+        rotation
+            Sets that start position (in degrees) of the angular
+            axis By default, polar subplots with `direction` set to
+            "counterclockwise" get a `rotation` of 0 which
+            corresponds to due East (like what mathematicians
+            prefer). In turn, polar with `direction` set to
+            "clockwise" get a rotation of 90 which corresponds to
+            due North (like on a compass),
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thetaunit
+            Sets the format unit of the formatted "theta" values.
+            Has an effect only when `angularaxis.type` is "linear".
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.polar.an
+            gularaxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.pola
+            r.angularaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.polar.angularaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        type
+            Sets the angular axis type. If "linear", set
+            `thetaunit` to determine the unit in which axis value
+            are shown. If *category, use `period` to set the number
+            of integer coordinates around polar axis.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `rotation`. Defaults to `polar<N>.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+
+        Returns
+        -------
+        AngularAxis
+        """
+        super(AngularAxis, self).__init__("angularaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.AngularAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.AngularAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("direction", None)
+        _v = direction if direction is not None else _v
+        if _v is not None:
+            self["direction"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("period", None)
+        _v = period if period is not None else _v
+        if _v is not None:
+            self["period"] = _v
+        _v = arg.pop("rotation", None)
+        _v = rotation if rotation is not None else _v
+        if _v is not None:
+            self["rotation"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thetaunit", None)
+        _v = thetaunit if thetaunit is not None else _v
+        if _v is not None:
+            self["thetaunit"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/_domain.py b/packages/python/plotly/plotly/graph_objs/layout/polar/_domain.py
new file mode 100644
index 00000000000..fbb66cbfc97
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar"
+    _path_str = "layout.polar.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this polar subplot .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this polar subplot .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this polar subplot (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this polar subplot (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this polar subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this polar subplot .
+        x
+            Sets the horizontal domain of this polar subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this polar subplot (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.polar.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this polar subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this polar subplot .
+        x
+            Sets the horizontal domain of this polar subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this polar subplot (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/_radialaxis.py b/packages/python/plotly/plotly/graph_objs/layout/polar/_radialaxis.py
new file mode 100644
index 00000000000..2ca496004ef
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/_radialaxis.py
@@ -0,0 +1,2240 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class RadialAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar"
+    _path_str = "layout.polar.radialaxis"
+    _valid_props = {
+        "angle",
+        "autorange",
+        "calendar",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "nticks",
+        "range",
+        "rangemode",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "side",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "type",
+        "uirevision",
+        "visible",
+    }
+
+    # angle
+    # -----
+    @property
+    def angle(self):
+        """
+        Sets the angle (in degrees) from which the radial axis is
+        drawn. Note that by default, radial axis line on the theta=0
+        line corresponds to a line pointing right (like what
+        mathematicians prefer). Defaults to the first `polar.sector`
+        angle.
+    
+        The 'angle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["angle"]
+
+    @angle.setter
+    def angle(self, val):
+        self["angle"] = val
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the calendar system to use for `range` and `tick0` if this
+        is a date axis. This does not set the calendar for interpreting
+        data on this axis, that's specified in the trace or via the
+        global `layout.calendar`
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If *tozero*`, the range extends to 0, regardless of the input
+        data If "nonnegative", the range is non-negative, regardless of
+        the input data. If "normal", the range is computed in relation
+        to the extrema of the input data (same behavior as for
+        cartesian axes).
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['tozero', 'nonnegative', 'normal']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines on which side of radial axis line the tick and tick
+        labels appear.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['clockwise', 'counterclockwise']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.radialaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.polar.radialaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.polar.radialaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.layout.polar.radial
+        axis.tickformatstopdefaults), sets the default property values
+        to use for elements of layout.polar.radialaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.radialaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.radialaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.polar.radialaxis.title.font
+        instead. Sets this axis' title font. Note that the title's font
+        used to be customized by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'log', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `range`,
+        `autorange`, `angle`, and `title` if in `editable: true`
+        configuration. Defaults to `polar<N>.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        angle
+            Sets the angle (in degrees) from which the radial axis
+            is drawn. Note that by default, radial axis line on the
+            theta=0 line corresponds to a line pointing right (like
+            what mathematicians prefer). Defaults to the first
+            `polar.sector` angle.
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If *tozero*`, the range extends to 0, regardless of the
+            input data If "nonnegative", the range is non-negative,
+            regardless of the input data. If "normal", the range is
+            computed in relation to the extrema of the input data
+            (same behavior as for cartesian axes).
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        side
+            Determines on which side of radial axis line the tick
+            and tick labels appear.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.polar.ra
+            dialaxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.pola
+            r.radialaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.polar.radialaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.polar.radialaxis.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            layout.polar.radialaxis.title.font instead. Sets this
+            axis' title font. Note that the title's font used to be
+            customized by the now deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `range`, `autorange`, `angle`, and `title` if in
+            `editable: true` configuration. Defaults to
+            `polar<N>.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        angle=None,
+        autorange=None,
+        calendar=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        nticks=None,
+        range=None,
+        rangemode=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        side=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        type=None,
+        uirevision=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new RadialAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.polar.RadialAxis`
+        angle
+            Sets the angle (in degrees) from which the radial axis
+            is drawn. Note that by default, radial axis line on the
+            theta=0 line corresponds to a line pointing right (like
+            what mathematicians prefer). Defaults to the first
+            `polar.sector` angle.
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If *tozero*`, the range extends to 0, regardless of the
+            input data If "nonnegative", the range is non-negative,
+            regardless of the input data. If "normal", the range is
+            computed in relation to the extrema of the input data
+            (same behavior as for cartesian axes).
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        side
+            Determines on which side of radial axis line the tick
+            and tick labels appear.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.polar.ra
+            dialaxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.pola
+            r.radialaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.polar.radialaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.polar.radialaxis.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            layout.polar.radialaxis.title.font instead. Sets this
+            axis' title font. Note that the title's font used to be
+            customized by the now deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `range`, `autorange`, `angle`, and `title` if in
+            `editable: true` configuration. Defaults to
+            `polar<N>.uirevision`.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+
+        Returns
+        -------
+        RadialAxis
+        """
+        super(RadialAxis, self).__init__("radialaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.RadialAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.RadialAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("angle", None)
+        _v = angle if angle is not None else _v
+        if _v is not None:
+            self["angle"] = _v
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/__init__.py
index f1e9efab937..f1d16bcb76a 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/__init__.py
@@ -1,517 +1,11 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar.angularaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.polar.a
-            ngularaxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.angularaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar.angularaxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar.angularaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.polar.a
-            ngularaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.angularaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar.angularaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._tickformatstop.Tickformatstop", "._tickfont.Tickfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/_tickfont.py
new file mode 100644
index 00000000000..f9ce15109db
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar.angularaxis"
+    _path_str = "layout.polar.angularaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.polar.a
+            ngularaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.angularaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/_tickformatstop.py
new file mode 100644
index 00000000000..4ea62f99455
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/angularaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar.angularaxis"
+    _path_str = "layout.polar.angularaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.polar.a
+            ngularaxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.angularaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.angularaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/__init__.py
index fadbdec3d05..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.polar.radialaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar.radialaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.polar.r
-            adialaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.radialaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar.radialaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar.radialaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.polar.r
-            adialaxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.radialaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar.radialaxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar.radialaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.polar.r
-            adialaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.radialaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar.radialaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.polar.radialaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_tickfont.py
new file mode 100644
index 00000000000..5e24046bf87
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar.radialaxis"
+    _path_str = "layout.polar.radialaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.polar.r
+            adialaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.radialaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_tickformatstop.py
new file mode 100644
index 00000000000..b3b891a8ac1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar.radialaxis"
+    _path_str = "layout.polar.radialaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.polar.r
+            adialaxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.radialaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_title.py
new file mode 100644
index 00000000000..806b50408a7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar.radialaxis"
+    _path_str = "layout.polar.radialaxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.polar.radialaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.polar.radialaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.polar.r
+            adialaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.radialaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/__init__.py
index 0bd7465eaea..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.polar.radialaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.polar.r
-            adialaxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.polar.radialaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.polar.radialaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/_font.py
new file mode 100644
index 00000000000..997a0dd2fa1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/polar/radialaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.polar.radialaxis.title"
+    _path_str = "layout.polar.radialaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.polar.r
+            adialaxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.polar.radialaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/__init__.py
index d5f15b33926..c0d9c20ef28 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/__init__.py
@@ -1,9527 +1,31 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class ZAxis(_BaseLayoutHierarchyType):
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # backgroundcolor
-    # ---------------
-    @property
-    def backgroundcolor(self):
-        """
-        Sets the background color of this axis' wall.
-    
-        The 'backgroundcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["backgroundcolor"]
-
-    @backgroundcolor.setter
-    def backgroundcolor(self, val):
-        self["backgroundcolor"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the calendar system to use for `range` and `tick0` if this
-        is a date axis. This does not set the calendar for interpreting
-        data on this axis, that's specified in the trace or via the
-        global `layout.calendar`
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # mirror
-    # ------
-    @property
-    def mirror(self):
-        """
-        Determines if the axis lines or/and ticks are mirrored to the
-        opposite side of the plotting area. If True, the axis lines are
-        mirrored. If "ticks", the axis lines and ticks are mirrored. If
-        False, mirroring is disable. If "all", axis lines are mirrored
-        on all shared-axes subplots. If "allticks", axis lines and
-        ticks are mirrored on all shared-axes subplots.
-    
-        The 'mirror' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, 'ticks', False, 'all', 'allticks']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mirror"]
-
-    @mirror.setter
-    def mirror(self, val):
-        self["mirror"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data. Applies only to
-        linear axes.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showaxeslabels
-    # --------------
-    @property
-    def showaxeslabels(self):
-        """
-        Sets whether or not this axis is labeled
-    
-        The 'showaxeslabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showaxeslabels"]
-
-    @showaxeslabels.setter
-    def showaxeslabels(self, val):
-        self["showaxeslabels"] = val
-
-    # showbackground
-    # --------------
-    @property
-    def showbackground(self):
-        """
-        Sets whether or not this axis' wall has a background color.
-    
-        The 'showbackground' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showbackground"]
-
-    @showbackground.setter
-    def showbackground(self, val):
-        self["showbackground"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showspikes
-    # ----------
-    @property
-    def showspikes(self):
-        """
-        Sets whether or not spikes starting from data points to this
-        axis' wall are shown on hover.
-    
-        The 'showspikes' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showspikes"]
-
-    @showspikes.setter
-    def showspikes(self, val):
-        self["showspikes"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # spikecolor
-    # ----------
-    @property
-    def spikecolor(self):
-        """
-        Sets the color of the spikes.
-    
-        The 'spikecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["spikecolor"]
-
-    @spikecolor.setter
-    def spikecolor(self, val):
-        self["spikecolor"] = val
-
-    # spikesides
-    # ----------
-    @property
-    def spikesides(self):
-        """
-        Sets whether or not spikes extending from the projection data
-        points to this axis' wall boundaries are shown on hover.
-    
-        The 'spikesides' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["spikesides"]
-
-    @spikesides.setter
-    def spikesides(self, val):
-        self["spikesides"] = val
-
-    # spikethickness
-    # --------------
-    @property
-    def spikethickness(self):
-        """
-        Sets the thickness (in px) of the spikes.
-    
-        The 'spikethickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["spikethickness"]
-
-    @spikethickness.setter
-    def spikethickness(self, val):
-        self["spikethickness"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.zaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.scene.zaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.scene.zaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.scene.zaxis.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        layout.scene.zaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.zaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.zaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.scene.zaxis.title.font instead.
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'log', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # zeroline
-    # --------
-    @property
-    def zeroline(self):
-        """
-        Determines whether or not a line is drawn at along the 0 value
-        of this axis. If True, the zero line is drawn on top of the
-        grid lines.
-    
-        The 'zeroline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zeroline"]
-
-    @zeroline.setter
-    def zeroline(self, val):
-        self["zeroline"] = val
-
-    # zerolinecolor
-    # -------------
-    @property
-    def zerolinecolor(self):
-        """
-        Sets the line color of the zero line.
-    
-        The 'zerolinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["zerolinecolor"]
-
-    @zerolinecolor.setter
-    def zerolinecolor(self, val):
-        self["zerolinecolor"] = val
-
-    # zerolinewidth
-    # -------------
-    @property
-    def zerolinewidth(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'zerolinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zerolinewidth"]
-
-    @zerolinewidth.setter
-    def zerolinewidth(self, val):
-        self["zerolinewidth"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        backgroundcolor
-            Sets the background color of this axis' wall.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showaxeslabels
-            Sets whether or not this axis is labeled
-        showbackground
-            Sets whether or not this axis' wall has a background
-            color.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Sets whether or not spikes starting from data points to
-            this axis' wall are shown on hover.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        spikecolor
-            Sets the color of the spikes.
-        spikesides
-            Sets whether or not spikes extending from the
-            projection data points to this axis' wall boundaries
-            are shown on hover.
-        spikethickness
-            Sets the thickness (in px) of the spikes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.scene.za
-            xis.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.scen
-            e.zaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.scene.zaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.scene.zaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.scene.zaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        autorange=None,
-        backgroundcolor=None,
-        calendar=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        linecolor=None,
-        linewidth=None,
-        mirror=None,
-        nticks=None,
-        range=None,
-        rangemode=None,
-        separatethousands=None,
-        showaxeslabels=None,
-        showbackground=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showspikes=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        spikecolor=None,
-        spikesides=None,
-        spikethickness=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        type=None,
-        visible=None,
-        zeroline=None,
-        zerolinecolor=None,
-        zerolinewidth=None,
-        **kwargs
-    ):
-        """
-        Construct a new ZAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.ZAxis`
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        backgroundcolor
-            Sets the background color of this axis' wall.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showaxeslabels
-            Sets whether or not this axis is labeled
-        showbackground
-            Sets whether or not this axis' wall has a background
-            color.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Sets whether or not spikes starting from data points to
-            this axis' wall are shown on hover.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        spikecolor
-            Sets the color of the spikes.
-        spikesides
-            Sets whether or not spikes extending from the
-            projection data points to this axis' wall boundaries
-            are shown on hover.
-        spikethickness
-            Sets the thickness (in px) of the spikes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.scene.za
-            xis.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.scen
-            e.zaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.scene.zaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.scene.zaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.scene.zaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        ZAxis
-        """
-        super(ZAxis, self).__init__("zaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.ZAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.ZAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import zaxis as v_zaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autorange"] = v_zaxis.AutorangeValidator()
-        self._validators["backgroundcolor"] = v_zaxis.BackgroundcolorValidator()
-        self._validators["calendar"] = v_zaxis.CalendarValidator()
-        self._validators["categoryarray"] = v_zaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_zaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_zaxis.CategoryorderValidator()
-        self._validators["color"] = v_zaxis.ColorValidator()
-        self._validators["dtick"] = v_zaxis.DtickValidator()
-        self._validators["exponentformat"] = v_zaxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_zaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_zaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_zaxis.HoverformatValidator()
-        self._validators["linecolor"] = v_zaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_zaxis.LinewidthValidator()
-        self._validators["mirror"] = v_zaxis.MirrorValidator()
-        self._validators["nticks"] = v_zaxis.NticksValidator()
-        self._validators["range"] = v_zaxis.RangeValidator()
-        self._validators["rangemode"] = v_zaxis.RangemodeValidator()
-        self._validators["separatethousands"] = v_zaxis.SeparatethousandsValidator()
-        self._validators["showaxeslabels"] = v_zaxis.ShowaxeslabelsValidator()
-        self._validators["showbackground"] = v_zaxis.ShowbackgroundValidator()
-        self._validators["showexponent"] = v_zaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_zaxis.ShowgridValidator()
-        self._validators["showline"] = v_zaxis.ShowlineValidator()
-        self._validators["showspikes"] = v_zaxis.ShowspikesValidator()
-        self._validators["showticklabels"] = v_zaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_zaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_zaxis.ShowticksuffixValidator()
-        self._validators["spikecolor"] = v_zaxis.SpikecolorValidator()
-        self._validators["spikesides"] = v_zaxis.SpikesidesValidator()
-        self._validators["spikethickness"] = v_zaxis.SpikethicknessValidator()
-        self._validators["tick0"] = v_zaxis.Tick0Validator()
-        self._validators["tickangle"] = v_zaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_zaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_zaxis.TickfontValidator()
-        self._validators["tickformat"] = v_zaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_zaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_zaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_zaxis.TicklenValidator()
-        self._validators["tickmode"] = v_zaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_zaxis.TickprefixValidator()
-        self._validators["ticks"] = v_zaxis.TicksValidator()
-        self._validators["ticksuffix"] = v_zaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_zaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_zaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_zaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_zaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_zaxis.TickwidthValidator()
-        self._validators["title"] = v_zaxis.TitleValidator()
-        self._validators["type"] = v_zaxis.TypeValidator()
-        self._validators["visible"] = v_zaxis.VisibleValidator()
-        self._validators["zeroline"] = v_zaxis.ZerolineValidator()
-        self._validators["zerolinecolor"] = v_zaxis.ZerolinecolorValidator()
-        self._validators["zerolinewidth"] = v_zaxis.ZerolinewidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("backgroundcolor", None)
-        self["backgroundcolor"] = backgroundcolor if backgroundcolor is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("mirror", None)
-        self["mirror"] = mirror if mirror is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showaxeslabels", None)
-        self["showaxeslabels"] = showaxeslabels if showaxeslabels is not None else _v
-        _v = arg.pop("showbackground", None)
-        self["showbackground"] = showbackground if showbackground is not None else _v
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showspikes", None)
-        self["showspikes"] = showspikes if showspikes is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("spikecolor", None)
-        self["spikecolor"] = spikecolor if spikecolor is not None else _v
-        _v = arg.pop("spikesides", None)
-        self["spikesides"] = spikesides if spikesides is not None else _v
-        _v = arg.pop("spikethickness", None)
-        self["spikethickness"] = spikethickness if spikethickness is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("zeroline", None)
-        self["zeroline"] = zeroline if zeroline is not None else _v
-        _v = arg.pop("zerolinecolor", None)
-        self["zerolinecolor"] = zerolinecolor if zerolinecolor is not None else _v
-        _v = arg.pop("zerolinewidth", None)
-        self["zerolinewidth"] = zerolinewidth if zerolinewidth is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class YAxis(_BaseLayoutHierarchyType):
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # backgroundcolor
-    # ---------------
-    @property
-    def backgroundcolor(self):
-        """
-        Sets the background color of this axis' wall.
-    
-        The 'backgroundcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["backgroundcolor"]
-
-    @backgroundcolor.setter
-    def backgroundcolor(self, val):
-        self["backgroundcolor"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the calendar system to use for `range` and `tick0` if this
-        is a date axis. This does not set the calendar for interpreting
-        data on this axis, that's specified in the trace or via the
-        global `layout.calendar`
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # mirror
-    # ------
-    @property
-    def mirror(self):
-        """
-        Determines if the axis lines or/and ticks are mirrored to the
-        opposite side of the plotting area. If True, the axis lines are
-        mirrored. If "ticks", the axis lines and ticks are mirrored. If
-        False, mirroring is disable. If "all", axis lines are mirrored
-        on all shared-axes subplots. If "allticks", axis lines and
-        ticks are mirrored on all shared-axes subplots.
-    
-        The 'mirror' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, 'ticks', False, 'all', 'allticks']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mirror"]
-
-    @mirror.setter
-    def mirror(self, val):
-        self["mirror"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data. Applies only to
-        linear axes.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showaxeslabels
-    # --------------
-    @property
-    def showaxeslabels(self):
-        """
-        Sets whether or not this axis is labeled
-    
-        The 'showaxeslabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showaxeslabels"]
-
-    @showaxeslabels.setter
-    def showaxeslabels(self, val):
-        self["showaxeslabels"] = val
-
-    # showbackground
-    # --------------
-    @property
-    def showbackground(self):
-        """
-        Sets whether or not this axis' wall has a background color.
-    
-        The 'showbackground' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showbackground"]
-
-    @showbackground.setter
-    def showbackground(self, val):
-        self["showbackground"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showspikes
-    # ----------
-    @property
-    def showspikes(self):
-        """
-        Sets whether or not spikes starting from data points to this
-        axis' wall are shown on hover.
-    
-        The 'showspikes' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showspikes"]
-
-    @showspikes.setter
-    def showspikes(self, val):
-        self["showspikes"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # spikecolor
-    # ----------
-    @property
-    def spikecolor(self):
-        """
-        Sets the color of the spikes.
-    
-        The 'spikecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["spikecolor"]
-
-    @spikecolor.setter
-    def spikecolor(self, val):
-        self["spikecolor"] = val
-
-    # spikesides
-    # ----------
-    @property
-    def spikesides(self):
-        """
-        Sets whether or not spikes extending from the projection data
-        points to this axis' wall boundaries are shown on hover.
-    
-        The 'spikesides' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["spikesides"]
-
-    @spikesides.setter
-    def spikesides(self, val):
-        self["spikesides"] = val
-
-    # spikethickness
-    # --------------
-    @property
-    def spikethickness(self):
-        """
-        Sets the thickness (in px) of the spikes.
-    
-        The 'spikethickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["spikethickness"]
-
-    @spikethickness.setter
-    def spikethickness(self, val):
-        self["spikethickness"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.yaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.scene.yaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.scene.yaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.scene.yaxis.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        layout.scene.yaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.yaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.yaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.scene.yaxis.title.font instead.
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'log', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # zeroline
-    # --------
-    @property
-    def zeroline(self):
-        """
-        Determines whether or not a line is drawn at along the 0 value
-        of this axis. If True, the zero line is drawn on top of the
-        grid lines.
-    
-        The 'zeroline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zeroline"]
-
-    @zeroline.setter
-    def zeroline(self, val):
-        self["zeroline"] = val
-
-    # zerolinecolor
-    # -------------
-    @property
-    def zerolinecolor(self):
-        """
-        Sets the line color of the zero line.
-    
-        The 'zerolinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["zerolinecolor"]
-
-    @zerolinecolor.setter
-    def zerolinecolor(self, val):
-        self["zerolinecolor"] = val
-
-    # zerolinewidth
-    # -------------
-    @property
-    def zerolinewidth(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'zerolinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zerolinewidth"]
-
-    @zerolinewidth.setter
-    def zerolinewidth(self, val):
-        self["zerolinewidth"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        backgroundcolor
-            Sets the background color of this axis' wall.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showaxeslabels
-            Sets whether or not this axis is labeled
-        showbackground
-            Sets whether or not this axis' wall has a background
-            color.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Sets whether or not spikes starting from data points to
-            this axis' wall are shown on hover.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        spikecolor
-            Sets the color of the spikes.
-        spikesides
-            Sets whether or not spikes extending from the
-            projection data points to this axis' wall boundaries
-            are shown on hover.
-        spikethickness
-            Sets the thickness (in px) of the spikes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.scene.ya
-            xis.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.scen
-            e.yaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.scene.yaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.scene.yaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.scene.yaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        autorange=None,
-        backgroundcolor=None,
-        calendar=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        linecolor=None,
-        linewidth=None,
-        mirror=None,
-        nticks=None,
-        range=None,
-        rangemode=None,
-        separatethousands=None,
-        showaxeslabels=None,
-        showbackground=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showspikes=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        spikecolor=None,
-        spikesides=None,
-        spikethickness=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        type=None,
-        visible=None,
-        zeroline=None,
-        zerolinecolor=None,
-        zerolinewidth=None,
-        **kwargs
-    ):
-        """
-        Construct a new YAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.YAxis`
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        backgroundcolor
-            Sets the background color of this axis' wall.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showaxeslabels
-            Sets whether or not this axis is labeled
-        showbackground
-            Sets whether or not this axis' wall has a background
-            color.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Sets whether or not spikes starting from data points to
-            this axis' wall are shown on hover.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        spikecolor
-            Sets the color of the spikes.
-        spikesides
-            Sets whether or not spikes extending from the
-            projection data points to this axis' wall boundaries
-            are shown on hover.
-        spikethickness
-            Sets the thickness (in px) of the spikes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.scene.ya
-            xis.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.scen
-            e.yaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.scene.yaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.scene.yaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.scene.yaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        YAxis
-        """
-        super(YAxis, self).__init__("yaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.YAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.YAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import yaxis as v_yaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autorange"] = v_yaxis.AutorangeValidator()
-        self._validators["backgroundcolor"] = v_yaxis.BackgroundcolorValidator()
-        self._validators["calendar"] = v_yaxis.CalendarValidator()
-        self._validators["categoryarray"] = v_yaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_yaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_yaxis.CategoryorderValidator()
-        self._validators["color"] = v_yaxis.ColorValidator()
-        self._validators["dtick"] = v_yaxis.DtickValidator()
-        self._validators["exponentformat"] = v_yaxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_yaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_yaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_yaxis.HoverformatValidator()
-        self._validators["linecolor"] = v_yaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_yaxis.LinewidthValidator()
-        self._validators["mirror"] = v_yaxis.MirrorValidator()
-        self._validators["nticks"] = v_yaxis.NticksValidator()
-        self._validators["range"] = v_yaxis.RangeValidator()
-        self._validators["rangemode"] = v_yaxis.RangemodeValidator()
-        self._validators["separatethousands"] = v_yaxis.SeparatethousandsValidator()
-        self._validators["showaxeslabels"] = v_yaxis.ShowaxeslabelsValidator()
-        self._validators["showbackground"] = v_yaxis.ShowbackgroundValidator()
-        self._validators["showexponent"] = v_yaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_yaxis.ShowgridValidator()
-        self._validators["showline"] = v_yaxis.ShowlineValidator()
-        self._validators["showspikes"] = v_yaxis.ShowspikesValidator()
-        self._validators["showticklabels"] = v_yaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_yaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_yaxis.ShowticksuffixValidator()
-        self._validators["spikecolor"] = v_yaxis.SpikecolorValidator()
-        self._validators["spikesides"] = v_yaxis.SpikesidesValidator()
-        self._validators["spikethickness"] = v_yaxis.SpikethicknessValidator()
-        self._validators["tick0"] = v_yaxis.Tick0Validator()
-        self._validators["tickangle"] = v_yaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_yaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_yaxis.TickfontValidator()
-        self._validators["tickformat"] = v_yaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_yaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_yaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_yaxis.TicklenValidator()
-        self._validators["tickmode"] = v_yaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_yaxis.TickprefixValidator()
-        self._validators["ticks"] = v_yaxis.TicksValidator()
-        self._validators["ticksuffix"] = v_yaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_yaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_yaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_yaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_yaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_yaxis.TickwidthValidator()
-        self._validators["title"] = v_yaxis.TitleValidator()
-        self._validators["type"] = v_yaxis.TypeValidator()
-        self._validators["visible"] = v_yaxis.VisibleValidator()
-        self._validators["zeroline"] = v_yaxis.ZerolineValidator()
-        self._validators["zerolinecolor"] = v_yaxis.ZerolinecolorValidator()
-        self._validators["zerolinewidth"] = v_yaxis.ZerolinewidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("backgroundcolor", None)
-        self["backgroundcolor"] = backgroundcolor if backgroundcolor is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("mirror", None)
-        self["mirror"] = mirror if mirror is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showaxeslabels", None)
-        self["showaxeslabels"] = showaxeslabels if showaxeslabels is not None else _v
-        _v = arg.pop("showbackground", None)
-        self["showbackground"] = showbackground if showbackground is not None else _v
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showspikes", None)
-        self["showspikes"] = showspikes if showspikes is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("spikecolor", None)
-        self["spikecolor"] = spikecolor if spikecolor is not None else _v
-        _v = arg.pop("spikesides", None)
-        self["spikesides"] = spikesides if spikesides is not None else _v
-        _v = arg.pop("spikethickness", None)
-        self["spikethickness"] = spikethickness if spikethickness is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("zeroline", None)
-        self["zeroline"] = zeroline if zeroline is not None else _v
-        _v = arg.pop("zerolinecolor", None)
-        self["zerolinecolor"] = zerolinecolor if zerolinecolor is not None else _v
-        _v = arg.pop("zerolinewidth", None)
-        self["zerolinewidth"] = zerolinewidth if zerolinewidth is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class XAxis(_BaseLayoutHierarchyType):
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range of this axis is computed in
-        relation to the input data. See `rangemode` for more info. If
-        `range` is provided, then `autorange` is set to False.
-    
-        The 'autorange' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # backgroundcolor
-    # ---------------
-    @property
-    def backgroundcolor(self):
-        """
-        Sets the background color of this axis' wall.
-    
-        The 'backgroundcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["backgroundcolor"]
-
-    @backgroundcolor.setter
-    def backgroundcolor(self, val):
-        self["backgroundcolor"] = val
-
-    # calendar
-    # --------
-    @property
-    def calendar(self):
-        """
-        Sets the calendar system to use for `range` and `tick0` if this
-        is a date axis. This does not set the calendar for interpreting
-        data on this axis, that's specified in the trace or via the
-        global `layout.calendar`
-    
-        The 'calendar' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['gregorian', 'chinese', 'coptic', 'discworld',
-                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
-                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
-                'thai', 'ummalqura']
-
-        Returns
-        -------
-        Any
-        """
-        return self["calendar"]
-
-    @calendar.setter
-    def calendar(self, val):
-        self["calendar"] = val
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories on this axis appear. Only
-        has an effect if `categoryorder` is set to "array". Used with
-        `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the case of categorical
-        variables. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`. Set `categoryorder` to *total ascending* or
-        *total descending* if order should be determined by the
-        numerical order of the values. Similarly, the order can be
-        determined by the min, max, sum, mean or median of all the
-        values.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array', 'total ascending', 'total descending', 'min
-                ascending', 'min descending', 'max ascending', 'max
-                descending', 'sum ascending', 'sum descending', 'mean
-                ascending', 'mean descending', 'median ascending', 'median
-                descending']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # mirror
-    # ------
-    @property
-    def mirror(self):
-        """
-        Determines if the axis lines or/and ticks are mirrored to the
-        opposite side of the plotting area. If True, the axis lines are
-        mirrored. If "ticks", the axis lines and ticks are mirrored. If
-        False, mirroring is disable. If "all", axis lines are mirrored
-        on all shared-axes subplots. If "allticks", axis lines and
-        ticks are mirrored on all shared-axes subplots.
-    
-        The 'mirror' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, 'ticks', False, 'all', 'allticks']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mirror"]
-
-    @mirror.setter
-    def mirror(self, val):
-        self["mirror"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis. If the axis `type` is "log", then
-        you must take the log of your desired range (e.g. to set the
-        range from 1 to 100, set the range from 0 to 2). If the axis
-        `type` is "date", it should be date strings, like date data,
-        though Date objects and unix milliseconds will be accepted and
-        converted to strings. If the axis `type` is "category", it
-        should be numbers, using the scale where each category is
-        assigned a serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        If "normal", the range is computed in relation to the extrema
-        of the input data. If *tozero*`, the range extends to 0,
-        regardless of the input data If "nonnegative", the range is
-        non-negative, regardless of the input data. Applies only to
-        linear axes.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['normal', 'tozero', 'nonnegative']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showaxeslabels
-    # --------------
-    @property
-    def showaxeslabels(self):
-        """
-        Sets whether or not this axis is labeled
-    
-        The 'showaxeslabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showaxeslabels"]
-
-    @showaxeslabels.setter
-    def showaxeslabels(self, val):
-        self["showaxeslabels"] = val
-
-    # showbackground
-    # --------------
-    @property
-    def showbackground(self):
-        """
-        Sets whether or not this axis' wall has a background color.
-    
-        The 'showbackground' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showbackground"]
-
-    @showbackground.setter
-    def showbackground(self, val):
-        self["showbackground"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showspikes
-    # ----------
-    @property
-    def showspikes(self):
-        """
-        Sets whether or not spikes starting from data points to this
-        axis' wall are shown on hover.
-    
-        The 'showspikes' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showspikes"]
-
-    @showspikes.setter
-    def showspikes(self, val):
-        self["showspikes"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # spikecolor
-    # ----------
-    @property
-    def spikecolor(self):
-        """
-        Sets the color of the spikes.
-    
-        The 'spikecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["spikecolor"]
-
-    @spikecolor.setter
-    def spikecolor(self, val):
-        self["spikecolor"] = val
-
-    # spikesides
-    # ----------
-    @property
-    def spikesides(self):
-        """
-        Sets whether or not spikes extending from the projection data
-        points to this axis' wall boundaries are shown on hover.
-    
-        The 'spikesides' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["spikesides"]
-
-    @spikesides.setter
-    def spikesides(self, val):
-        self["spikesides"] = val
-
-    # spikethickness
-    # --------------
-    @property
-    def spikethickness(self):
-        """
-        Sets the thickness (in px) of the spikes.
-    
-        The 'spikethickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["spikethickness"]
-
-    @spikethickness.setter
-    def spikethickness(self, val):
-        self["spikethickness"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.xaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.scene.xaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.scene.xaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.scene.xaxis.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        layout.scene.xaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.xaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.xaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.scene.xaxis.title.font instead.
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type. By default, plotly attempts to determined
-        the axis type by looking into the data of the traces that
-        referenced the axis in question.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['-', 'linear', 'log', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        A single toggle to hide the axis while preserving interaction
-        like dragging. Default is true when a cheater plot is present
-        on the axis, otherwise false
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # zeroline
-    # --------
-    @property
-    def zeroline(self):
-        """
-        Determines whether or not a line is drawn at along the 0 value
-        of this axis. If True, the zero line is drawn on top of the
-        grid lines.
-    
-        The 'zeroline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["zeroline"]
-
-    @zeroline.setter
-    def zeroline(self, val):
-        self["zeroline"] = val
-
-    # zerolinecolor
-    # -------------
-    @property
-    def zerolinecolor(self):
-        """
-        Sets the line color of the zero line.
-    
-        The 'zerolinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["zerolinecolor"]
-
-    @zerolinecolor.setter
-    def zerolinecolor(self, val):
-        self["zerolinecolor"] = val
-
-    # zerolinewidth
-    # -------------
-    @property
-    def zerolinewidth(self):
-        """
-        Sets the width (in px) of the zero line.
-    
-        The 'zerolinewidth' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["zerolinewidth"]
-
-    @zerolinewidth.setter
-    def zerolinewidth(self, val):
-        self["zerolinewidth"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        backgroundcolor
-            Sets the background color of this axis' wall.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showaxeslabels
-            Sets whether or not this axis is labeled
-        showbackground
-            Sets whether or not this axis' wall has a background
-            color.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Sets whether or not spikes starting from data points to
-            this axis' wall are shown on hover.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        spikecolor
-            Sets the color of the spikes.
-        spikesides
-            Sets whether or not spikes extending from the
-            projection data points to this axis' wall boundaries
-            are shown on hover.
-        spikethickness
-            Sets the thickness (in px) of the spikes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.scene.xa
-            xis.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.scen
-            e.xaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.scene.xaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.scene.xaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.scene.xaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        autorange=None,
-        backgroundcolor=None,
-        calendar=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        linecolor=None,
-        linewidth=None,
-        mirror=None,
-        nticks=None,
-        range=None,
-        rangemode=None,
-        separatethousands=None,
-        showaxeslabels=None,
-        showbackground=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showspikes=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        spikecolor=None,
-        spikesides=None,
-        spikethickness=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        type=None,
-        visible=None,
-        zeroline=None,
-        zerolinecolor=None,
-        zerolinewidth=None,
-        **kwargs
-    ):
-        """
-        Construct a new XAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.XAxis`
-        autorange
-            Determines whether or not the range of this axis is
-            computed in relation to the input data. See `rangemode`
-            for more info. If `range` is provided, then `autorange`
-            is set to False.
-        backgroundcolor
-            Sets the background color of this axis' wall.
-        calendar
-            Sets the calendar system to use for `range` and `tick0`
-            if this is a date axis. This does not set the calendar
-            for interpreting data on this axis, that's specified in
-            the trace or via the global `layout.calendar`
-        categoryarray
-            Sets the order in which categories on this axis appear.
-            Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the case of
-            categorical variables. By default, plotly uses "trace",
-            which specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`. Set `categoryorder`
-            to *total ascending* or *total descending* if order
-            should be determined by the numerical order of the
-            values. Similarly, the order can be determined by the
-            min, max, sum, mean or median of all the values.
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        mirror
-            Determines if the axis lines or/and ticks are mirrored
-            to the opposite side of the plotting area. If True, the
-            axis lines are mirrored. If "ticks", the axis lines and
-            ticks are mirrored. If False, mirroring is disable. If
-            "all", axis lines are mirrored on all shared-axes
-            subplots. If "allticks", axis lines and ticks are
-            mirrored on all shared-axes subplots.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        range
-            Sets the range of this axis. If the axis `type` is
-            "log", then you must take the log of your desired range
-            (e.g. to set the range from 1 to 100, set the range
-            from 0 to 2). If the axis `type` is "date", it should
-            be date strings, like date data, though Date objects
-            and unix milliseconds will be accepted and converted to
-            strings. If the axis `type` is "category", it should be
-            numbers, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        rangemode
-            If "normal", the range is computed in relation to the
-            extrema of the input data. If *tozero*`, the range
-            extends to 0, regardless of the input data If
-            "nonnegative", the range is non-negative, regardless of
-            the input data. Applies only to linear axes.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showaxeslabels
-            Sets whether or not this axis is labeled
-        showbackground
-            Sets whether or not this axis' wall has a background
-            color.
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showspikes
-            Sets whether or not spikes starting from data points to
-            this axis' wall are shown on hover.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        spikecolor
-            Sets the color of the spikes.
-        spikesides
-            Sets whether or not spikes extending from the
-            projection data points to this axis' wall boundaries
-            are shown on hover.
-        spikethickness
-            Sets the thickness (in px) of the spikes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.scene.xa
-            xis.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.scen
-            e.xaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.scene.xaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.scene.xaxis.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.scene.xaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        type
-            Sets the axis type. By default, plotly attempts to
-            determined the axis type by looking into the data of
-            the traces that referenced the axis in question.
-        visible
-            A single toggle to hide the axis while preserving
-            interaction like dragging. Default is true when a
-            cheater plot is present on the axis, otherwise false
-        zeroline
-            Determines whether or not a line is drawn at along the
-            0 value of this axis. If True, the zero line is drawn
-            on top of the grid lines.
-        zerolinecolor
-            Sets the line color of the zero line.
-        zerolinewidth
-            Sets the width (in px) of the zero line.
-
-        Returns
-        -------
-        XAxis
-        """
-        super(XAxis, self).__init__("xaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.XAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.XAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import xaxis as v_xaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autorange"] = v_xaxis.AutorangeValidator()
-        self._validators["backgroundcolor"] = v_xaxis.BackgroundcolorValidator()
-        self._validators["calendar"] = v_xaxis.CalendarValidator()
-        self._validators["categoryarray"] = v_xaxis.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_xaxis.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_xaxis.CategoryorderValidator()
-        self._validators["color"] = v_xaxis.ColorValidator()
-        self._validators["dtick"] = v_xaxis.DtickValidator()
-        self._validators["exponentformat"] = v_xaxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_xaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_xaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_xaxis.HoverformatValidator()
-        self._validators["linecolor"] = v_xaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_xaxis.LinewidthValidator()
-        self._validators["mirror"] = v_xaxis.MirrorValidator()
-        self._validators["nticks"] = v_xaxis.NticksValidator()
-        self._validators["range"] = v_xaxis.RangeValidator()
-        self._validators["rangemode"] = v_xaxis.RangemodeValidator()
-        self._validators["separatethousands"] = v_xaxis.SeparatethousandsValidator()
-        self._validators["showaxeslabels"] = v_xaxis.ShowaxeslabelsValidator()
-        self._validators["showbackground"] = v_xaxis.ShowbackgroundValidator()
-        self._validators["showexponent"] = v_xaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_xaxis.ShowgridValidator()
-        self._validators["showline"] = v_xaxis.ShowlineValidator()
-        self._validators["showspikes"] = v_xaxis.ShowspikesValidator()
-        self._validators["showticklabels"] = v_xaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_xaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_xaxis.ShowticksuffixValidator()
-        self._validators["spikecolor"] = v_xaxis.SpikecolorValidator()
-        self._validators["spikesides"] = v_xaxis.SpikesidesValidator()
-        self._validators["spikethickness"] = v_xaxis.SpikethicknessValidator()
-        self._validators["tick0"] = v_xaxis.Tick0Validator()
-        self._validators["tickangle"] = v_xaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_xaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_xaxis.TickfontValidator()
-        self._validators["tickformat"] = v_xaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_xaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_xaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_xaxis.TicklenValidator()
-        self._validators["tickmode"] = v_xaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_xaxis.TickprefixValidator()
-        self._validators["ticks"] = v_xaxis.TicksValidator()
-        self._validators["ticksuffix"] = v_xaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_xaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_xaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_xaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_xaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_xaxis.TickwidthValidator()
-        self._validators["title"] = v_xaxis.TitleValidator()
-        self._validators["type"] = v_xaxis.TypeValidator()
-        self._validators["visible"] = v_xaxis.VisibleValidator()
-        self._validators["zeroline"] = v_xaxis.ZerolineValidator()
-        self._validators["zerolinecolor"] = v_xaxis.ZerolinecolorValidator()
-        self._validators["zerolinewidth"] = v_xaxis.ZerolinewidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("backgroundcolor", None)
-        self["backgroundcolor"] = backgroundcolor if backgroundcolor is not None else _v
-        _v = arg.pop("calendar", None)
-        self["calendar"] = calendar if calendar is not None else _v
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("mirror", None)
-        self["mirror"] = mirror if mirror is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showaxeslabels", None)
-        self["showaxeslabels"] = showaxeslabels if showaxeslabels is not None else _v
-        _v = arg.pop("showbackground", None)
-        self["showbackground"] = showbackground if showbackground is not None else _v
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showspikes", None)
-        self["showspikes"] = showspikes if showspikes is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("spikecolor", None)
-        self["spikecolor"] = spikecolor if spikecolor is not None else _v
-        _v = arg.pop("spikesides", None)
-        self["spikesides"] = spikesides if spikesides is not None else _v
-        _v = arg.pop("spikethickness", None)
-        self["spikethickness"] = spikethickness if spikethickness is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("zeroline", None)
-        self["zeroline"] = zeroline if zeroline is not None else _v
-        _v = arg.pop("zerolinecolor", None)
-        self["zerolinecolor"] = zerolinecolor if zerolinecolor is not None else _v
-        _v = arg.pop("zerolinewidth", None)
-        self["zerolinewidth"] = zerolinewidth if zerolinewidth is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseLayoutHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this scene subplot .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this scene subplot .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this scene subplot (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this scene subplot (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this scene subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this scene subplot .
-        x
-            Sets the horizontal domain of this scene subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this scene subplot (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this scene subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this scene subplot .
-        x
-            Sets the horizontal domain of this scene subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this scene subplot (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Camera(_BaseLayoutHierarchyType):
-
-    # center
-    # ------
-    @property
-    def center(self):
-        """
-        Sets the (x,y,z) components of the 'center' camera vector This
-        vector determines the translation (x,y,z) space about the
-        center of this scene. By default, there is no such translation.
-    
-        The 'center' property is an instance of Center
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Center`
-          - A dict of string/value properties that will be passed
-            to the Center constructor
-    
-            Supported dict properties:
-                
-                x
-    
-                y
-    
-                z
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.camera.Center
-        """
-        return self["center"]
-
-    @center.setter
-    def center(self, val):
-        self["center"] = val
-
-    # eye
-    # ---
-    @property
-    def eye(self):
-        """
-        Sets the (x,y,z) components of the 'eye' camera vector. This
-        vector determines the view point about the origin of this
-        scene.
-    
-        The 'eye' property is an instance of Eye
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Eye`
-          - A dict of string/value properties that will be passed
-            to the Eye constructor
-    
-            Supported dict properties:
-                
-                x
-    
-                y
-    
-                z
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.camera.Eye
-        """
-        return self["eye"]
-
-    @eye.setter
-    def eye(self, val):
-        self["eye"] = val
-
-    # projection
-    # ----------
-    @property
-    def projection(self):
-        """
-        The 'projection' property is an instance of Projection
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Projection`
-          - A dict of string/value properties that will be passed
-            to the Projection constructor
-    
-            Supported dict properties:
-                
-                type
-                    Sets the projection type. The projection type
-                    could be either "perspective" or
-                    "orthographic". The default is "perspective".
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.camera.Projection
-        """
-        return self["projection"]
-
-    @projection.setter
-    def projection(self, val):
-        self["projection"] = val
-
-    # up
-    # --
-    @property
-    def up(self):
-        """
-        Sets the (x,y,z) components of the 'up' camera vector. This
-        vector determines the up direction of this scene with respect
-        to the page. The default is *{x: 0, y: 0, z: 1}* which means
-        that the z axis points up.
-    
-        The 'up' property is an instance of Up
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Up`
-          - A dict of string/value properties that will be passed
-            to the Up constructor
-    
-            Supported dict properties:
-                
-                x
-    
-                y
-    
-                z
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.camera.Up
-        """
-        return self["up"]
-
-    @up.setter
-    def up(self, val):
-        self["up"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        center
-            Sets the (x,y,z) components of the 'center' camera
-            vector This vector determines the translation (x,y,z)
-            space about the center of this scene. By default, there
-            is no such translation.
-        eye
-            Sets the (x,y,z) components of the 'eye' camera vector.
-            This vector determines the view point about the origin
-            of this scene.
-        projection
-            :class:`plotly.graph_objects.layout.scene.camera.Projec
-            tion` instance or dict with compatible properties
-        up
-            Sets the (x,y,z) components of the 'up' camera vector.
-            This vector determines the up direction of this scene
-            with respect to the page. The default is *{x: 0, y: 0,
-            z: 1}* which means that the z axis points up.
-        """
-
-    def __init__(
-        self, arg=None, center=None, eye=None, projection=None, up=None, **kwargs
-    ):
-        """
-        Construct a new Camera object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.Camera`
-        center
-            Sets the (x,y,z) components of the 'center' camera
-            vector This vector determines the translation (x,y,z)
-            space about the center of this scene. By default, there
-            is no such translation.
-        eye
-            Sets the (x,y,z) components of the 'eye' camera vector.
-            This vector determines the view point about the origin
-            of this scene.
-        projection
-            :class:`plotly.graph_objects.layout.scene.camera.Projec
-            tion` instance or dict with compatible properties
-        up
-            Sets the (x,y,z) components of the 'up' camera vector.
-            This vector determines the up direction of this scene
-            with respect to the page. The default is *{x: 0, y: 0,
-            z: 1}* which means that the z axis points up.
-
-        Returns
-        -------
-        Camera
-        """
-        super(Camera, self).__init__("camera")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.Camera 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.Camera`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import camera as v_camera
-
-        # Initialize validators
-        # ---------------------
-        self._validators["center"] = v_camera.CenterValidator()
-        self._validators["eye"] = v_camera.EyeValidator()
-        self._validators["projection"] = v_camera.ProjectionValidator()
-        self._validators["up"] = v_camera.UpValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("center", None)
-        self["center"] = center if center is not None else _v
-        _v = arg.pop("eye", None)
-        self["eye"] = eye if eye is not None else _v
-        _v = arg.pop("projection", None)
-        self["projection"] = projection if projection is not None else _v
-        _v = arg.pop("up", None)
-        self["up"] = up if up is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Aspectratio(_BaseLayoutHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-
-        y
-
-        z
-
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Aspectratio object
-        
-        Sets this scene's axis aspectratio.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.Aspectratio`
-        x
-
-        y
-
-        z
-
-
-        Returns
-        -------
-        Aspectratio
-        """
-        super(Aspectratio, self).__init__("aspectratio")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.Aspectratio 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.Aspectratio`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import aspectratio as v_aspectratio
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_aspectratio.XValidator()
-        self._validators["y"] = v_aspectratio.YValidator()
-        self._validators["z"] = v_aspectratio.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Annotation(_BaseLayoutHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the `text` within the box. Has
-        an effect only if `text` spans two or more lines (i.e. `text`
-        contains one or more <br> HTML tags) or if an explicit width is
-        set to override the text width.
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # arrowcolor
-    # ----------
-    @property
-    def arrowcolor(self):
-        """
-        Sets the color of the annotation arrow.
-    
-        The 'arrowcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["arrowcolor"]
-
-    @arrowcolor.setter
-    def arrowcolor(self, val):
-        self["arrowcolor"] = val
-
-    # arrowhead
-    # ---------
-    @property
-    def arrowhead(self):
-        """
-        Sets the end annotation arrow head style.
-    
-        The 'arrowhead' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 8]
-
-        Returns
-        -------
-        int
-        """
-        return self["arrowhead"]
-
-    @arrowhead.setter
-    def arrowhead(self, val):
-        self["arrowhead"] = val
-
-    # arrowside
-    # ---------
-    @property
-    def arrowside(self):
-        """
-        Sets the annotation arrow head position.
-    
-        The 'arrowside' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['end', 'start'] joined with '+' characters
-            (e.g. 'end+start')
-            OR exactly one of ['none'] (e.g. 'none')
-
-        Returns
-        -------
-        Any
-        """
-        return self["arrowside"]
-
-    @arrowside.setter
-    def arrowside(self, val):
-        self["arrowside"] = val
-
-    # arrowsize
-    # ---------
-    @property
-    def arrowsize(self):
-        """
-        Sets the size of the end annotation arrow head, relative to
-        `arrowwidth`. A value of 1 (default) gives a head about 3x as
-        wide as the line.
-    
-        The 'arrowsize' property is a number and may be specified as:
-          - An int or float in the interval [0.3, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["arrowsize"]
-
-    @arrowsize.setter
-    def arrowsize(self, val):
-        self["arrowsize"] = val
-
-    # arrowwidth
-    # ----------
-    @property
-    def arrowwidth(self):
-        """
-        Sets the width (in px) of annotation arrow line.
-    
-        The 'arrowwidth' property is a number and may be specified as:
-          - An int or float in the interval [0.1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["arrowwidth"]
-
-    @arrowwidth.setter
-    def arrowwidth(self, val):
-        self["arrowwidth"] = val
-
-    # ax
-    # --
-    @property
-    def ax(self):
-        """
-        Sets the x component of the arrow tail about the arrow head (in
-        pixels).
-    
-        The 'ax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ax"]
-
-    @ax.setter
-    def ax(self, val):
-        self["ax"] = val
-
-    # ay
-    # --
-    @property
-    def ay(self):
-        """
-        Sets the y component of the arrow tail about the arrow head (in
-        pixels).
-    
-        The 'ay' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ay"]
-
-    @ay.setter
-    def ay(self, val):
-        self["ay"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the annotation.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the annotation `text`.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderpad
-    # ---------
-    @property
-    def borderpad(self):
-        """
-        Sets the padding (in px) between the `text` and the enclosing
-        border.
-    
-        The 'borderpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderpad"]
-
-    @borderpad.setter
-    def borderpad(self, val):
-        self["borderpad"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the annotation
-        `text`.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # captureevents
-    # -------------
-    @property
-    def captureevents(self):
-        """
-        Determines whether the annotation text box captures mouse move
-        and click events, or allows those events to pass through to
-        data points in the plot that may be behind the annotation. By
-        default `captureevents` is False unless `hovertext` is
-        provided. If you use the event `plotly_clickannotation` without
-        `hovertext` you must explicitly enable `captureevents`.
-    
-        The 'captureevents' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["captureevents"]
-
-    @captureevents.setter
-    def captureevents(self, val):
-        self["captureevents"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the annotation text font.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.annotation.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.annotation.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # height
-    # ------
-    @property
-    def height(self):
-        """
-        Sets an explicit height for the text box. null (default) lets
-        the text set the box height. Taller text will be clipped.
-    
-        The 'height' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["height"]
-
-    @height.setter
-    def height(self, val):
-        self["height"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.annotation.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the background color of the hover label.
-                    By default uses the annotation's `bgcolor` made
-                    opaque, or white if it was transparent.
-                bordercolor
-                    Sets the border color of the hover label. By
-                    default uses either dark grey or white, for
-                    maximum contrast with `hoverlabel.bgcolor`.
-                font
-                    Sets the hover label text font. By default uses
-                    the global hover font and size, with color from
-                    `hoverlabel.bordercolor`.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.annotation.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertext
-    # ---------
-    @property
-    def hovertext(self):
-        """
-        Sets text to appear when hovering over this annotation. If
-        omitted or blank, no hover label will appear.
-    
-        The 'hovertext' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertext"]
-
-    @hovertext.setter
-    def hovertext(self, val):
-        self["hovertext"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the annotation (text + arrow).
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # showarrow
-    # ---------
-    @property
-    def showarrow(self):
-        """
-        Determines whether or not the annotation is drawn with an
-        arrow. If True, `text` is placed near the arrow's tail. If
-        False, `text` lines up with the `x` and `y` provided.
-    
-        The 'showarrow' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showarrow"]
-
-    @showarrow.setter
-    def showarrow(self, val):
-        self["showarrow"] = val
-
-    # standoff
-    # --------
-    @property
-    def standoff(self):
-        """
-        Sets a distance, in pixels, to move the end arrowhead away from
-        the position it is pointing at, for example to point at the
-        edge of a marker independent of zoom. Note that this shortens
-        the arrow from the `ax` / `ay` vector, in contrast to `xshift`
-        / `yshift` which moves everything by this amount.
-    
-        The 'standoff' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["standoff"]
-
-    @standoff.setter
-    def standoff(self, val):
-        self["standoff"] = val
-
-    # startarrowhead
-    # --------------
-    @property
-    def startarrowhead(self):
-        """
-        Sets the start annotation arrow head style.
-    
-        The 'startarrowhead' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 8]
-
-        Returns
-        -------
-        int
-        """
-        return self["startarrowhead"]
-
-    @startarrowhead.setter
-    def startarrowhead(self, val):
-        self["startarrowhead"] = val
-
-    # startarrowsize
-    # --------------
-    @property
-    def startarrowsize(self):
-        """
-        Sets the size of the start annotation arrow head, relative to
-        `arrowwidth`. A value of 1 (default) gives a head about 3x as
-        wide as the line.
-    
-        The 'startarrowsize' property is a number and may be specified as:
-          - An int or float in the interval [0.3, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["startarrowsize"]
-
-    @startarrowsize.setter
-    def startarrowsize(self, val):
-        self["startarrowsize"] = val
-
-    # startstandoff
-    # -------------
-    @property
-    def startstandoff(self):
-        """
-        Sets a distance, in pixels, to move the start arrowhead away
-        from the position it is pointing at, for example to point at
-        the edge of a marker independent of zoom. Note that this
-        shortens the arrow from the `ax` / `ay` vector, in contrast to
-        `xshift` / `yshift` which moves everything by this amount.
-    
-        The 'startstandoff' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["startstandoff"]
-
-    @startstandoff.setter
-    def startstandoff(self, val):
-        self["startstandoff"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the text associated with this annotation. Plotly uses a
-        subset of HTML tags to do things like newline (<br>), bold
-        (<b></b>), italics (<i></i>), hyperlinks (<a href='...'></a>).
-        Tags <em>, <sup>, <sub> <span> are also supported.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # textangle
-    # ---------
-    @property
-    def textangle(self):
-        """
-        Sets the angle at which the `text` is drawn with respect to the
-        horizontal.
-    
-        The 'textangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["textangle"]
-
-    @textangle.setter
-    def textangle(self, val):
-        self["textangle"] = val
-
-    # valign
-    # ------
-    @property
-    def valign(self):
-        """
-        Sets the vertical alignment of the `text` within the box. Has
-        an effect only if an explicit height is set to override the
-        text height.
-    
-        The 'valign' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["valign"]
-
-    @valign.setter
-    def valign(self, val):
-        self["valign"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this annotation is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets an explicit width for the text box. null (default) lets
-        the text set the box width. Wider text will be clipped. There
-        is no automatic wrapping; use <br> to start a new line.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the annotation's x position.
-    
-        The 'x' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the text box's horizontal position anchor This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the annotation. For example, if `x` is set to 1, `xref` to
-        "paper" and `xanchor` to "right" then the right-most portion of
-        the annotation lines up with the right-most edge of the
-        plotting area. If "auto", the anchor is equivalent to "center"
-        for data-referenced annotations or if there is an arrow,
-        whereas for paper-referenced with no arrow, the anchor picked
-        corresponds to the closest side.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xshift
-    # ------
-    @property
-    def xshift(self):
-        """
-        Shifts the position of the whole annotation and arrow to the
-        right (positive) or left (negative) by this many pixels.
-    
-        The 'xshift' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xshift"]
-
-    @xshift.setter
-    def xshift(self, val):
-        self["xshift"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the annotation's y position.
-    
-        The 'y' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the text box's vertical position anchor This anchor binds
-        the `y` position to the "top", "middle" or "bottom" of the
-        annotation. For example, if `y` is set to 1, `yref` to "paper"
-        and `yanchor` to "top" then the top-most portion of the
-        annotation lines up with the top-most edge of the plotting
-        area. If "auto", the anchor is equivalent to "middle" for data-
-        referenced annotations or if there is an arrow, whereas for
-        paper-referenced with no arrow, the anchor picked corresponds
-        to the closest side.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # yshift
-    # ------
-    @property
-    def yshift(self):
-        """
-        Shifts the position of the whole annotation and arrow up
-        (positive) or down (negative) by this many pixels.
-    
-        The 'yshift' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["yshift"]
-
-    @yshift.setter
-    def yshift(self, val):
-        self["yshift"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the annotation's z position.
-    
-        The 'z' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        arrowcolor
-            Sets the color of the annotation arrow.
-        arrowhead
-            Sets the end annotation arrow head style.
-        arrowside
-            Sets the annotation arrow head position.
-        arrowsize
-            Sets the size of the end annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        arrowwidth
-            Sets the width (in px) of annotation arrow line.
-        ax
-            Sets the x component of the arrow tail about the arrow
-            head (in pixels).
-        ay
-            Sets the y component of the arrow tail about the arrow
-            head (in pixels).
-        bgcolor
-            Sets the background color of the annotation.
-        bordercolor
-            Sets the color of the border enclosing the annotation
-            `text`.
-        borderpad
-            Sets the padding (in px) between the `text` and the
-            enclosing border.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            annotation `text`.
-        captureevents
-            Determines whether the annotation text box captures
-            mouse move and click events, or allows those events to
-            pass through to data points in the plot that may be
-            behind the annotation. By default `captureevents` is
-            False unless `hovertext` is provided. If you use the
-            event `plotly_clickannotation` without `hovertext` you
-            must explicitly enable `captureevents`.
-        font
-            Sets the annotation text font.
-        height
-            Sets an explicit height for the text box. null
-            (default) lets the text set the box height. Taller text
-            will be clipped.
-        hoverlabel
-            :class:`plotly.graph_objects.layout.scene.annotation.Ho
-            verlabel` instance or dict with compatible properties
-        hovertext
-            Sets text to appear when hovering over this annotation.
-            If omitted or blank, no hover label will appear.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the annotation (text + arrow).
-        showarrow
-            Determines whether or not the annotation is drawn with
-            an arrow. If True, `text` is placed near the arrow's
-            tail. If False, `text` lines up with the `x` and `y`
-            provided.
-        standoff
-            Sets a distance, in pixels, to move the end arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        startarrowhead
-            Sets the start annotation arrow head style.
-        startarrowsize
-            Sets the size of the start annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        startstandoff
-            Sets a distance, in pixels, to move the start arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        text
-            Sets the text associated with this annotation. Plotly
-            uses a subset of HTML tags to do things like newline
-            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
-            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
-            are also supported.
-        textangle
-            Sets the angle at which the `text` is drawn with
-            respect to the horizontal.
-        valign
-            Sets the vertical alignment of the `text` within the
-            box. Has an effect only if an explicit height is set to
-            override the text height.
-        visible
-            Determines whether or not this annotation is visible.
-        width
-            Sets an explicit width for the text box. null (default)
-            lets the text set the box width. Wider text will be
-            clipped. There is no automatic wrapping; use <br> to
-            start a new line.
-        x
-            Sets the annotation's x position.
-        xanchor
-            Sets the text box's horizontal position anchor This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the annotation. For example, if `x` is
-            set to 1, `xref` to "paper" and `xanchor` to "right"
-            then the right-most portion of the annotation lines up
-            with the right-most edge of the plotting area. If
-            "auto", the anchor is equivalent to "center" for data-
-            referenced annotations or if there is an arrow, whereas
-            for paper-referenced with no arrow, the anchor picked
-            corresponds to the closest side.
-        xshift
-            Shifts the position of the whole annotation and arrow
-            to the right (positive) or left (negative) by this many
-            pixels.
-        y
-            Sets the annotation's y position.
-        yanchor
-            Sets the text box's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the annotation. For example, if `y` is set
-            to 1, `yref` to "paper" and `yanchor` to "top" then the
-            top-most portion of the annotation lines up with the
-            top-most edge of the plotting area. If "auto", the
-            anchor is equivalent to "middle" for data-referenced
-            annotations or if there is an arrow, whereas for paper-
-            referenced with no arrow, the anchor picked corresponds
-            to the closest side.
-        yshift
-            Shifts the position of the whole annotation and arrow
-            up (positive) or down (negative) by this many pixels.
-        z
-            Sets the annotation's z position.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        arrowcolor=None,
-        arrowhead=None,
-        arrowside=None,
-        arrowsize=None,
-        arrowwidth=None,
-        ax=None,
-        ay=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderpad=None,
-        borderwidth=None,
-        captureevents=None,
-        font=None,
-        height=None,
-        hoverlabel=None,
-        hovertext=None,
-        name=None,
-        opacity=None,
-        showarrow=None,
-        standoff=None,
-        startarrowhead=None,
-        startarrowsize=None,
-        startstandoff=None,
-        templateitemname=None,
-        text=None,
-        textangle=None,
-        valign=None,
-        visible=None,
-        width=None,
-        x=None,
-        xanchor=None,
-        xshift=None,
-        y=None,
-        yanchor=None,
-        yshift=None,
-        z=None,
-        **kwargs
-    ):
-        """
-        Construct a new Annotation object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.Annotation`
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        arrowcolor
-            Sets the color of the annotation arrow.
-        arrowhead
-            Sets the end annotation arrow head style.
-        arrowside
-            Sets the annotation arrow head position.
-        arrowsize
-            Sets the size of the end annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        arrowwidth
-            Sets the width (in px) of annotation arrow line.
-        ax
-            Sets the x component of the arrow tail about the arrow
-            head (in pixels).
-        ay
-            Sets the y component of the arrow tail about the arrow
-            head (in pixels).
-        bgcolor
-            Sets the background color of the annotation.
-        bordercolor
-            Sets the color of the border enclosing the annotation
-            `text`.
-        borderpad
-            Sets the padding (in px) between the `text` and the
-            enclosing border.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            annotation `text`.
-        captureevents
-            Determines whether the annotation text box captures
-            mouse move and click events, or allows those events to
-            pass through to data points in the plot that may be
-            behind the annotation. By default `captureevents` is
-            False unless `hovertext` is provided. If you use the
-            event `plotly_clickannotation` without `hovertext` you
-            must explicitly enable `captureevents`.
-        font
-            Sets the annotation text font.
-        height
-            Sets an explicit height for the text box. null
-            (default) lets the text set the box height. Taller text
-            will be clipped.
-        hoverlabel
-            :class:`plotly.graph_objects.layout.scene.annotation.Ho
-            verlabel` instance or dict with compatible properties
-        hovertext
-            Sets text to appear when hovering over this annotation.
-            If omitted or blank, no hover label will appear.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        opacity
-            Sets the opacity of the annotation (text + arrow).
-        showarrow
-            Determines whether or not the annotation is drawn with
-            an arrow. If True, `text` is placed near the arrow's
-            tail. If False, `text` lines up with the `x` and `y`
-            provided.
-        standoff
-            Sets a distance, in pixels, to move the end arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        startarrowhead
-            Sets the start annotation arrow head style.
-        startarrowsize
-            Sets the size of the start annotation arrow head,
-            relative to `arrowwidth`. A value of 1 (default) gives
-            a head about 3x as wide as the line.
-        startstandoff
-            Sets a distance, in pixels, to move the start arrowhead
-            away from the position it is pointing at, for example
-            to point at the edge of a marker independent of zoom.
-            Note that this shortens the arrow from the `ax` / `ay`
-            vector, in contrast to `xshift` / `yshift` which moves
-            everything by this amount.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        text
-            Sets the text associated with this annotation. Plotly
-            uses a subset of HTML tags to do things like newline
-            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
-            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
-            are also supported.
-        textangle
-            Sets the angle at which the `text` is drawn with
-            respect to the horizontal.
-        valign
-            Sets the vertical alignment of the `text` within the
-            box. Has an effect only if an explicit height is set to
-            override the text height.
-        visible
-            Determines whether or not this annotation is visible.
-        width
-            Sets an explicit width for the text box. null (default)
-            lets the text set the box width. Wider text will be
-            clipped. There is no automatic wrapping; use <br> to
-            start a new line.
-        x
-            Sets the annotation's x position.
-        xanchor
-            Sets the text box's horizontal position anchor This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the annotation. For example, if `x` is
-            set to 1, `xref` to "paper" and `xanchor` to "right"
-            then the right-most portion of the annotation lines up
-            with the right-most edge of the plotting area. If
-            "auto", the anchor is equivalent to "center" for data-
-            referenced annotations or if there is an arrow, whereas
-            for paper-referenced with no arrow, the anchor picked
-            corresponds to the closest side.
-        xshift
-            Shifts the position of the whole annotation and arrow
-            to the right (positive) or left (negative) by this many
-            pixels.
-        y
-            Sets the annotation's y position.
-        yanchor
-            Sets the text box's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the annotation. For example, if `y` is set
-            to 1, `yref` to "paper" and `yanchor` to "top" then the
-            top-most portion of the annotation lines up with the
-            top-most edge of the plotting area. If "auto", the
-            anchor is equivalent to "middle" for data-referenced
-            annotations or if there is an arrow, whereas for paper-
-            referenced with no arrow, the anchor picked corresponds
-            to the closest side.
-        yshift
-            Shifts the position of the whole annotation and arrow
-            up (positive) or down (negative) by this many pixels.
-        z
-            Sets the annotation's z position.
-
-        Returns
-        -------
-        Annotation
-        """
-        super(Annotation, self).__init__("annotations")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.Annotation 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.Annotation`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene import annotation as v_annotation
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_annotation.AlignValidator()
-        self._validators["arrowcolor"] = v_annotation.ArrowcolorValidator()
-        self._validators["arrowhead"] = v_annotation.ArrowheadValidator()
-        self._validators["arrowside"] = v_annotation.ArrowsideValidator()
-        self._validators["arrowsize"] = v_annotation.ArrowsizeValidator()
-        self._validators["arrowwidth"] = v_annotation.ArrowwidthValidator()
-        self._validators["ax"] = v_annotation.AxValidator()
-        self._validators["ay"] = v_annotation.AyValidator()
-        self._validators["bgcolor"] = v_annotation.BgcolorValidator()
-        self._validators["bordercolor"] = v_annotation.BordercolorValidator()
-        self._validators["borderpad"] = v_annotation.BorderpadValidator()
-        self._validators["borderwidth"] = v_annotation.BorderwidthValidator()
-        self._validators["captureevents"] = v_annotation.CaptureeventsValidator()
-        self._validators["font"] = v_annotation.FontValidator()
-        self._validators["height"] = v_annotation.HeightValidator()
-        self._validators["hoverlabel"] = v_annotation.HoverlabelValidator()
-        self._validators["hovertext"] = v_annotation.HovertextValidator()
-        self._validators["name"] = v_annotation.NameValidator()
-        self._validators["opacity"] = v_annotation.OpacityValidator()
-        self._validators["showarrow"] = v_annotation.ShowarrowValidator()
-        self._validators["standoff"] = v_annotation.StandoffValidator()
-        self._validators["startarrowhead"] = v_annotation.StartarrowheadValidator()
-        self._validators["startarrowsize"] = v_annotation.StartarrowsizeValidator()
-        self._validators["startstandoff"] = v_annotation.StartstandoffValidator()
-        self._validators["templateitemname"] = v_annotation.TemplateitemnameValidator()
-        self._validators["text"] = v_annotation.TextValidator()
-        self._validators["textangle"] = v_annotation.TextangleValidator()
-        self._validators["valign"] = v_annotation.ValignValidator()
-        self._validators["visible"] = v_annotation.VisibleValidator()
-        self._validators["width"] = v_annotation.WidthValidator()
-        self._validators["x"] = v_annotation.XValidator()
-        self._validators["xanchor"] = v_annotation.XanchorValidator()
-        self._validators["xshift"] = v_annotation.XshiftValidator()
-        self._validators["y"] = v_annotation.YValidator()
-        self._validators["yanchor"] = v_annotation.YanchorValidator()
-        self._validators["yshift"] = v_annotation.YshiftValidator()
-        self._validators["z"] = v_annotation.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("arrowcolor", None)
-        self["arrowcolor"] = arrowcolor if arrowcolor is not None else _v
-        _v = arg.pop("arrowhead", None)
-        self["arrowhead"] = arrowhead if arrowhead is not None else _v
-        _v = arg.pop("arrowside", None)
-        self["arrowside"] = arrowside if arrowside is not None else _v
-        _v = arg.pop("arrowsize", None)
-        self["arrowsize"] = arrowsize if arrowsize is not None else _v
-        _v = arg.pop("arrowwidth", None)
-        self["arrowwidth"] = arrowwidth if arrowwidth is not None else _v
-        _v = arg.pop("ax", None)
-        self["ax"] = ax if ax is not None else _v
-        _v = arg.pop("ay", None)
-        self["ay"] = ay if ay is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderpad", None)
-        self["borderpad"] = borderpad if borderpad is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("captureevents", None)
-        self["captureevents"] = captureevents if captureevents is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("height", None)
-        self["height"] = height if height is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertext", None)
-        self["hovertext"] = hovertext if hovertext is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("showarrow", None)
-        self["showarrow"] = showarrow if showarrow is not None else _v
-        _v = arg.pop("standoff", None)
-        self["standoff"] = standoff if standoff is not None else _v
-        _v = arg.pop("startarrowhead", None)
-        self["startarrowhead"] = startarrowhead if startarrowhead is not None else _v
-        _v = arg.pop("startarrowsize", None)
-        self["startarrowsize"] = startarrowsize if startarrowsize is not None else _v
-        _v = arg.pop("startstandoff", None)
-        self["startstandoff"] = startstandoff if startstandoff is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-        _v = arg.pop("textangle", None)
-        self["textangle"] = textangle if textangle is not None else _v
-        _v = arg.pop("valign", None)
-        self["valign"] = valign if valign is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xshift", None)
-        self["xshift"] = xshift if xshift is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("yshift", None)
-        self["yshift"] = yshift if yshift is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Annotation",
-    "Annotation",
-    "Aspectratio",
-    "Camera",
-    "Domain",
-    "XAxis",
-    "YAxis",
-    "ZAxis",
-    "annotation",
-    "camera",
-    "xaxis",
-    "yaxis",
-    "zaxis",
-]
-
-from plotly.graph_objs.layout.scene import zaxis
-from plotly.graph_objs.layout.scene import yaxis
-from plotly.graph_objs.layout.scene import xaxis
-from plotly.graph_objs.layout.scene import camera
-from plotly.graph_objs.layout.scene import annotation
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zaxis import ZAxis
+    from ._yaxis import YAxis
+    from ._xaxis import XAxis
+    from ._domain import Domain
+    from ._camera import Camera
+    from ._aspectratio import Aspectratio
+    from ._annotation import Annotation
+    from . import zaxis
+    from . import yaxis
+    from . import xaxis
+    from . import camera
+    from . import annotation
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".zaxis", ".yaxis", ".xaxis", ".camera", ".annotation"],
+        [
+            "._zaxis.ZAxis",
+            "._yaxis.YAxis",
+            "._xaxis.XAxis",
+            "._domain.Domain",
+            "._camera.Camera",
+            "._aspectratio.Aspectratio",
+            "._annotation.Annotation",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_annotation.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_annotation.py
new file mode 100644
index 00000000000..41642756268
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_annotation.py
@@ -0,0 +1,1587 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Annotation(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.annotation"
+    _valid_props = {
+        "align",
+        "arrowcolor",
+        "arrowhead",
+        "arrowside",
+        "arrowsize",
+        "arrowwidth",
+        "ax",
+        "ay",
+        "bgcolor",
+        "bordercolor",
+        "borderpad",
+        "borderwidth",
+        "captureevents",
+        "font",
+        "height",
+        "hoverlabel",
+        "hovertext",
+        "name",
+        "opacity",
+        "showarrow",
+        "standoff",
+        "startarrowhead",
+        "startarrowsize",
+        "startstandoff",
+        "templateitemname",
+        "text",
+        "textangle",
+        "valign",
+        "visible",
+        "width",
+        "x",
+        "xanchor",
+        "xshift",
+        "y",
+        "yanchor",
+        "yshift",
+        "z",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the `text` within the box. Has
+        an effect only if `text` spans two or more lines (i.e. `text`
+        contains one or more <br> HTML tags) or if an explicit width is
+        set to override the text width.
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # arrowcolor
+    # ----------
+    @property
+    def arrowcolor(self):
+        """
+        Sets the color of the annotation arrow.
+    
+        The 'arrowcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["arrowcolor"]
+
+    @arrowcolor.setter
+    def arrowcolor(self, val):
+        self["arrowcolor"] = val
+
+    # arrowhead
+    # ---------
+    @property
+    def arrowhead(self):
+        """
+        Sets the end annotation arrow head style.
+    
+        The 'arrowhead' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 8]
+
+        Returns
+        -------
+        int
+        """
+        return self["arrowhead"]
+
+    @arrowhead.setter
+    def arrowhead(self, val):
+        self["arrowhead"] = val
+
+    # arrowside
+    # ---------
+    @property
+    def arrowside(self):
+        """
+        Sets the annotation arrow head position.
+    
+        The 'arrowside' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['end', 'start'] joined with '+' characters
+            (e.g. 'end+start')
+            OR exactly one of ['none'] (e.g. 'none')
+
+        Returns
+        -------
+        Any
+        """
+        return self["arrowside"]
+
+    @arrowside.setter
+    def arrowside(self, val):
+        self["arrowside"] = val
+
+    # arrowsize
+    # ---------
+    @property
+    def arrowsize(self):
+        """
+        Sets the size of the end annotation arrow head, relative to
+        `arrowwidth`. A value of 1 (default) gives a head about 3x as
+        wide as the line.
+    
+        The 'arrowsize' property is a number and may be specified as:
+          - An int or float in the interval [0.3, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["arrowsize"]
+
+    @arrowsize.setter
+    def arrowsize(self, val):
+        self["arrowsize"] = val
+
+    # arrowwidth
+    # ----------
+    @property
+    def arrowwidth(self):
+        """
+        Sets the width (in px) of annotation arrow line.
+    
+        The 'arrowwidth' property is a number and may be specified as:
+          - An int or float in the interval [0.1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["arrowwidth"]
+
+    @arrowwidth.setter
+    def arrowwidth(self, val):
+        self["arrowwidth"] = val
+
+    # ax
+    # --
+    @property
+    def ax(self):
+        """
+        Sets the x component of the arrow tail about the arrow head (in
+        pixels).
+    
+        The 'ax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ax"]
+
+    @ax.setter
+    def ax(self, val):
+        self["ax"] = val
+
+    # ay
+    # --
+    @property
+    def ay(self):
+        """
+        Sets the y component of the arrow tail about the arrow head (in
+        pixels).
+    
+        The 'ay' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ay"]
+
+    @ay.setter
+    def ay(self, val):
+        self["ay"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the annotation.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the annotation `text`.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderpad
+    # ---------
+    @property
+    def borderpad(self):
+        """
+        Sets the padding (in px) between the `text` and the enclosing
+        border.
+    
+        The 'borderpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderpad"]
+
+    @borderpad.setter
+    def borderpad(self, val):
+        self["borderpad"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the annotation
+        `text`.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # captureevents
+    # -------------
+    @property
+    def captureevents(self):
+        """
+        Determines whether the annotation text box captures mouse move
+        and click events, or allows those events to pass through to
+        data points in the plot that may be behind the annotation. By
+        default `captureevents` is False unless `hovertext` is
+        provided. If you use the event `plotly_clickannotation` without
+        `hovertext` you must explicitly enable `captureevents`.
+    
+        The 'captureevents' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["captureevents"]
+
+    @captureevents.setter
+    def captureevents(self, val):
+        self["captureevents"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the annotation text font.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.annotation.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.annotation.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # height
+    # ------
+    @property
+    def height(self):
+        """
+        Sets an explicit height for the text box. null (default) lets
+        the text set the box height. Taller text will be clipped.
+    
+        The 'height' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["height"]
+
+    @height.setter
+    def height(self, val):
+        self["height"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.annotation.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the background color of the hover label.
+                    By default uses the annotation's `bgcolor` made
+                    opaque, or white if it was transparent.
+                bordercolor
+                    Sets the border color of the hover label. By
+                    default uses either dark grey or white, for
+                    maximum contrast with `hoverlabel.bgcolor`.
+                font
+                    Sets the hover label text font. By default uses
+                    the global hover font and size, with color from
+                    `hoverlabel.bordercolor`.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.annotation.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertext
+    # ---------
+    @property
+    def hovertext(self):
+        """
+        Sets text to appear when hovering over this annotation. If
+        omitted or blank, no hover label will appear.
+    
+        The 'hovertext' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertext"]
+
+    @hovertext.setter
+    def hovertext(self, val):
+        self["hovertext"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the annotation (text + arrow).
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # showarrow
+    # ---------
+    @property
+    def showarrow(self):
+        """
+        Determines whether or not the annotation is drawn with an
+        arrow. If True, `text` is placed near the arrow's tail. If
+        False, `text` lines up with the `x` and `y` provided.
+    
+        The 'showarrow' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showarrow"]
+
+    @showarrow.setter
+    def showarrow(self, val):
+        self["showarrow"] = val
+
+    # standoff
+    # --------
+    @property
+    def standoff(self):
+        """
+        Sets a distance, in pixels, to move the end arrowhead away from
+        the position it is pointing at, for example to point at the
+        edge of a marker independent of zoom. Note that this shortens
+        the arrow from the `ax` / `ay` vector, in contrast to `xshift`
+        / `yshift` which moves everything by this amount.
+    
+        The 'standoff' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["standoff"]
+
+    @standoff.setter
+    def standoff(self, val):
+        self["standoff"] = val
+
+    # startarrowhead
+    # --------------
+    @property
+    def startarrowhead(self):
+        """
+        Sets the start annotation arrow head style.
+    
+        The 'startarrowhead' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 8]
+
+        Returns
+        -------
+        int
+        """
+        return self["startarrowhead"]
+
+    @startarrowhead.setter
+    def startarrowhead(self, val):
+        self["startarrowhead"] = val
+
+    # startarrowsize
+    # --------------
+    @property
+    def startarrowsize(self):
+        """
+        Sets the size of the start annotation arrow head, relative to
+        `arrowwidth`. A value of 1 (default) gives a head about 3x as
+        wide as the line.
+    
+        The 'startarrowsize' property is a number and may be specified as:
+          - An int or float in the interval [0.3, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["startarrowsize"]
+
+    @startarrowsize.setter
+    def startarrowsize(self, val):
+        self["startarrowsize"] = val
+
+    # startstandoff
+    # -------------
+    @property
+    def startstandoff(self):
+        """
+        Sets a distance, in pixels, to move the start arrowhead away
+        from the position it is pointing at, for example to point at
+        the edge of a marker independent of zoom. Note that this
+        shortens the arrow from the `ax` / `ay` vector, in contrast to
+        `xshift` / `yshift` which moves everything by this amount.
+    
+        The 'startstandoff' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["startstandoff"]
+
+    @startstandoff.setter
+    def startstandoff(self, val):
+        self["startstandoff"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the text associated with this annotation. Plotly uses a
+        subset of HTML tags to do things like newline (<br>), bold
+        (<b></b>), italics (<i></i>), hyperlinks (<a href='...'></a>).
+        Tags <em>, <sup>, <sub> <span> are also supported.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # textangle
+    # ---------
+    @property
+    def textangle(self):
+        """
+        Sets the angle at which the `text` is drawn with respect to the
+        horizontal.
+    
+        The 'textangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["textangle"]
+
+    @textangle.setter
+    def textangle(self, val):
+        self["textangle"] = val
+
+    # valign
+    # ------
+    @property
+    def valign(self):
+        """
+        Sets the vertical alignment of the `text` within the box. Has
+        an effect only if an explicit height is set to override the
+        text height.
+    
+        The 'valign' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["valign"]
+
+    @valign.setter
+    def valign(self, val):
+        self["valign"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this annotation is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets an explicit width for the text box. null (default) lets
+        the text set the box width. Wider text will be clipped. There
+        is no automatic wrapping; use <br> to start a new line.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the annotation's x position.
+    
+        The 'x' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the text box's horizontal position anchor This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the annotation. For example, if `x` is set to 1, `xref` to
+        "paper" and `xanchor` to "right" then the right-most portion of
+        the annotation lines up with the right-most edge of the
+        plotting area. If "auto", the anchor is equivalent to "center"
+        for data-referenced annotations or if there is an arrow,
+        whereas for paper-referenced with no arrow, the anchor picked
+        corresponds to the closest side.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xshift
+    # ------
+    @property
+    def xshift(self):
+        """
+        Shifts the position of the whole annotation and arrow to the
+        right (positive) or left (negative) by this many pixels.
+    
+        The 'xshift' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xshift"]
+
+    @xshift.setter
+    def xshift(self, val):
+        self["xshift"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the annotation's y position.
+    
+        The 'y' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the text box's vertical position anchor This anchor binds
+        the `y` position to the "top", "middle" or "bottom" of the
+        annotation. For example, if `y` is set to 1, `yref` to "paper"
+        and `yanchor` to "top" then the top-most portion of the
+        annotation lines up with the top-most edge of the plotting
+        area. If "auto", the anchor is equivalent to "middle" for data-
+        referenced annotations or if there is an arrow, whereas for
+        paper-referenced with no arrow, the anchor picked corresponds
+        to the closest side.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # yshift
+    # ------
+    @property
+    def yshift(self):
+        """
+        Shifts the position of the whole annotation and arrow up
+        (positive) or down (negative) by this many pixels.
+    
+        The 'yshift' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["yshift"]
+
+    @yshift.setter
+    def yshift(self, val):
+        self["yshift"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the annotation's z position.
+    
+        The 'z' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        arrowcolor
+            Sets the color of the annotation arrow.
+        arrowhead
+            Sets the end annotation arrow head style.
+        arrowside
+            Sets the annotation arrow head position.
+        arrowsize
+            Sets the size of the end annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        arrowwidth
+            Sets the width (in px) of annotation arrow line.
+        ax
+            Sets the x component of the arrow tail about the arrow
+            head (in pixels).
+        ay
+            Sets the y component of the arrow tail about the arrow
+            head (in pixels).
+        bgcolor
+            Sets the background color of the annotation.
+        bordercolor
+            Sets the color of the border enclosing the annotation
+            `text`.
+        borderpad
+            Sets the padding (in px) between the `text` and the
+            enclosing border.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            annotation `text`.
+        captureevents
+            Determines whether the annotation text box captures
+            mouse move and click events, or allows those events to
+            pass through to data points in the plot that may be
+            behind the annotation. By default `captureevents` is
+            False unless `hovertext` is provided. If you use the
+            event `plotly_clickannotation` without `hovertext` you
+            must explicitly enable `captureevents`.
+        font
+            Sets the annotation text font.
+        height
+            Sets an explicit height for the text box. null
+            (default) lets the text set the box height. Taller text
+            will be clipped.
+        hoverlabel
+            :class:`plotly.graph_objects.layout.scene.annotation.Ho
+            verlabel` instance or dict with compatible properties
+        hovertext
+            Sets text to appear when hovering over this annotation.
+            If omitted or blank, no hover label will appear.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the annotation (text + arrow).
+        showarrow
+            Determines whether or not the annotation is drawn with
+            an arrow. If True, `text` is placed near the arrow's
+            tail. If False, `text` lines up with the `x` and `y`
+            provided.
+        standoff
+            Sets a distance, in pixels, to move the end arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        startarrowhead
+            Sets the start annotation arrow head style.
+        startarrowsize
+            Sets the size of the start annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        startstandoff
+            Sets a distance, in pixels, to move the start arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        text
+            Sets the text associated with this annotation. Plotly
+            uses a subset of HTML tags to do things like newline
+            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
+            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
+            are also supported.
+        textangle
+            Sets the angle at which the `text` is drawn with
+            respect to the horizontal.
+        valign
+            Sets the vertical alignment of the `text` within the
+            box. Has an effect only if an explicit height is set to
+            override the text height.
+        visible
+            Determines whether or not this annotation is visible.
+        width
+            Sets an explicit width for the text box. null (default)
+            lets the text set the box width. Wider text will be
+            clipped. There is no automatic wrapping; use <br> to
+            start a new line.
+        x
+            Sets the annotation's x position.
+        xanchor
+            Sets the text box's horizontal position anchor This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the annotation. For example, if `x` is
+            set to 1, `xref` to "paper" and `xanchor` to "right"
+            then the right-most portion of the annotation lines up
+            with the right-most edge of the plotting area. If
+            "auto", the anchor is equivalent to "center" for data-
+            referenced annotations or if there is an arrow, whereas
+            for paper-referenced with no arrow, the anchor picked
+            corresponds to the closest side.
+        xshift
+            Shifts the position of the whole annotation and arrow
+            to the right (positive) or left (negative) by this many
+            pixels.
+        y
+            Sets the annotation's y position.
+        yanchor
+            Sets the text box's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the annotation. For example, if `y` is set
+            to 1, `yref` to "paper" and `yanchor` to "top" then the
+            top-most portion of the annotation lines up with the
+            top-most edge of the plotting area. If "auto", the
+            anchor is equivalent to "middle" for data-referenced
+            annotations or if there is an arrow, whereas for paper-
+            referenced with no arrow, the anchor picked corresponds
+            to the closest side.
+        yshift
+            Shifts the position of the whole annotation and arrow
+            up (positive) or down (negative) by this many pixels.
+        z
+            Sets the annotation's z position.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        arrowcolor=None,
+        arrowhead=None,
+        arrowside=None,
+        arrowsize=None,
+        arrowwidth=None,
+        ax=None,
+        ay=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderpad=None,
+        borderwidth=None,
+        captureevents=None,
+        font=None,
+        height=None,
+        hoverlabel=None,
+        hovertext=None,
+        name=None,
+        opacity=None,
+        showarrow=None,
+        standoff=None,
+        startarrowhead=None,
+        startarrowsize=None,
+        startstandoff=None,
+        templateitemname=None,
+        text=None,
+        textangle=None,
+        valign=None,
+        visible=None,
+        width=None,
+        x=None,
+        xanchor=None,
+        xshift=None,
+        y=None,
+        yanchor=None,
+        yshift=None,
+        z=None,
+        **kwargs
+    ):
+        """
+        Construct a new Annotation object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.Annotation`
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        arrowcolor
+            Sets the color of the annotation arrow.
+        arrowhead
+            Sets the end annotation arrow head style.
+        arrowside
+            Sets the annotation arrow head position.
+        arrowsize
+            Sets the size of the end annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        arrowwidth
+            Sets the width (in px) of annotation arrow line.
+        ax
+            Sets the x component of the arrow tail about the arrow
+            head (in pixels).
+        ay
+            Sets the y component of the arrow tail about the arrow
+            head (in pixels).
+        bgcolor
+            Sets the background color of the annotation.
+        bordercolor
+            Sets the color of the border enclosing the annotation
+            `text`.
+        borderpad
+            Sets the padding (in px) between the `text` and the
+            enclosing border.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            annotation `text`.
+        captureevents
+            Determines whether the annotation text box captures
+            mouse move and click events, or allows those events to
+            pass through to data points in the plot that may be
+            behind the annotation. By default `captureevents` is
+            False unless `hovertext` is provided. If you use the
+            event `plotly_clickannotation` without `hovertext` you
+            must explicitly enable `captureevents`.
+        font
+            Sets the annotation text font.
+        height
+            Sets an explicit height for the text box. null
+            (default) lets the text set the box height. Taller text
+            will be clipped.
+        hoverlabel
+            :class:`plotly.graph_objects.layout.scene.annotation.Ho
+            verlabel` instance or dict with compatible properties
+        hovertext
+            Sets text to appear when hovering over this annotation.
+            If omitted or blank, no hover label will appear.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        opacity
+            Sets the opacity of the annotation (text + arrow).
+        showarrow
+            Determines whether or not the annotation is drawn with
+            an arrow. If True, `text` is placed near the arrow's
+            tail. If False, `text` lines up with the `x` and `y`
+            provided.
+        standoff
+            Sets a distance, in pixels, to move the end arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        startarrowhead
+            Sets the start annotation arrow head style.
+        startarrowsize
+            Sets the size of the start annotation arrow head,
+            relative to `arrowwidth`. A value of 1 (default) gives
+            a head about 3x as wide as the line.
+        startstandoff
+            Sets a distance, in pixels, to move the start arrowhead
+            away from the position it is pointing at, for example
+            to point at the edge of a marker independent of zoom.
+            Note that this shortens the arrow from the `ax` / `ay`
+            vector, in contrast to `xshift` / `yshift` which moves
+            everything by this amount.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        text
+            Sets the text associated with this annotation. Plotly
+            uses a subset of HTML tags to do things like newline
+            (<br>), bold (<b></b>), italics (<i></i>), hyperlinks
+            (<a href='...'></a>). Tags <em>, <sup>, <sub> <span>
+            are also supported.
+        textangle
+            Sets the angle at which the `text` is drawn with
+            respect to the horizontal.
+        valign
+            Sets the vertical alignment of the `text` within the
+            box. Has an effect only if an explicit height is set to
+            override the text height.
+        visible
+            Determines whether or not this annotation is visible.
+        width
+            Sets an explicit width for the text box. null (default)
+            lets the text set the box width. Wider text will be
+            clipped. There is no automatic wrapping; use <br> to
+            start a new line.
+        x
+            Sets the annotation's x position.
+        xanchor
+            Sets the text box's horizontal position anchor This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the annotation. For example, if `x` is
+            set to 1, `xref` to "paper" and `xanchor` to "right"
+            then the right-most portion of the annotation lines up
+            with the right-most edge of the plotting area. If
+            "auto", the anchor is equivalent to "center" for data-
+            referenced annotations or if there is an arrow, whereas
+            for paper-referenced with no arrow, the anchor picked
+            corresponds to the closest side.
+        xshift
+            Shifts the position of the whole annotation and arrow
+            to the right (positive) or left (negative) by this many
+            pixels.
+        y
+            Sets the annotation's y position.
+        yanchor
+            Sets the text box's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the annotation. For example, if `y` is set
+            to 1, `yref` to "paper" and `yanchor` to "top" then the
+            top-most portion of the annotation lines up with the
+            top-most edge of the plotting area. If "auto", the
+            anchor is equivalent to "middle" for data-referenced
+            annotations or if there is an arrow, whereas for paper-
+            referenced with no arrow, the anchor picked corresponds
+            to the closest side.
+        yshift
+            Shifts the position of the whole annotation and arrow
+            up (positive) or down (negative) by this many pixels.
+        z
+            Sets the annotation's z position.
+
+        Returns
+        -------
+        Annotation
+        """
+        super(Annotation, self).__init__("annotations")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.Annotation 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.Annotation`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("arrowcolor", None)
+        _v = arrowcolor if arrowcolor is not None else _v
+        if _v is not None:
+            self["arrowcolor"] = _v
+        _v = arg.pop("arrowhead", None)
+        _v = arrowhead if arrowhead is not None else _v
+        if _v is not None:
+            self["arrowhead"] = _v
+        _v = arg.pop("arrowside", None)
+        _v = arrowside if arrowside is not None else _v
+        if _v is not None:
+            self["arrowside"] = _v
+        _v = arg.pop("arrowsize", None)
+        _v = arrowsize if arrowsize is not None else _v
+        if _v is not None:
+            self["arrowsize"] = _v
+        _v = arg.pop("arrowwidth", None)
+        _v = arrowwidth if arrowwidth is not None else _v
+        if _v is not None:
+            self["arrowwidth"] = _v
+        _v = arg.pop("ax", None)
+        _v = ax if ax is not None else _v
+        if _v is not None:
+            self["ax"] = _v
+        _v = arg.pop("ay", None)
+        _v = ay if ay is not None else _v
+        if _v is not None:
+            self["ay"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderpad", None)
+        _v = borderpad if borderpad is not None else _v
+        if _v is not None:
+            self["borderpad"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("captureevents", None)
+        _v = captureevents if captureevents is not None else _v
+        if _v is not None:
+            self["captureevents"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("height", None)
+        _v = height if height is not None else _v
+        if _v is not None:
+            self["height"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertext", None)
+        _v = hovertext if hovertext is not None else _v
+        if _v is not None:
+            self["hovertext"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("showarrow", None)
+        _v = showarrow if showarrow is not None else _v
+        if _v is not None:
+            self["showarrow"] = _v
+        _v = arg.pop("standoff", None)
+        _v = standoff if standoff is not None else _v
+        if _v is not None:
+            self["standoff"] = _v
+        _v = arg.pop("startarrowhead", None)
+        _v = startarrowhead if startarrowhead is not None else _v
+        if _v is not None:
+            self["startarrowhead"] = _v
+        _v = arg.pop("startarrowsize", None)
+        _v = startarrowsize if startarrowsize is not None else _v
+        if _v is not None:
+            self["startarrowsize"] = _v
+        _v = arg.pop("startstandoff", None)
+        _v = startstandoff if startstandoff is not None else _v
+        if _v is not None:
+            self["startstandoff"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+        _v = arg.pop("textangle", None)
+        _v = textangle if textangle is not None else _v
+        if _v is not None:
+            self["textangle"] = _v
+        _v = arg.pop("valign", None)
+        _v = valign if valign is not None else _v
+        if _v is not None:
+            self["valign"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xshift", None)
+        _v = xshift if xshift is not None else _v
+        if _v is not None:
+            self["xshift"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("yshift", None)
+        _v = yshift if yshift is not None else _v
+        if _v is not None:
+            self["yshift"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_aspectratio.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_aspectratio.py
new file mode 100644
index 00000000000..a99ca0632e9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_aspectratio.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Aspectratio(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.aspectratio"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+
+        y
+
+        z
+
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Aspectratio object
+        
+        Sets this scene's axis aspectratio.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.Aspectratio`
+        x
+
+        y
+
+        z
+
+
+        Returns
+        -------
+        Aspectratio
+        """
+        super(Aspectratio, self).__init__("aspectratio")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.Aspectratio 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.Aspectratio`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_camera.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_camera.py
new file mode 100644
index 00000000000..0f73e8aae28
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_camera.py
@@ -0,0 +1,250 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Camera(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.camera"
+    _valid_props = {"center", "eye", "projection", "up"}
+
+    # center
+    # ------
+    @property
+    def center(self):
+        """
+        Sets the (x,y,z) components of the 'center' camera vector This
+        vector determines the translation (x,y,z) space about the
+        center of this scene. By default, there is no such translation.
+    
+        The 'center' property is an instance of Center
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Center`
+          - A dict of string/value properties that will be passed
+            to the Center constructor
+    
+            Supported dict properties:
+                
+                x
+    
+                y
+    
+                z
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.camera.Center
+        """
+        return self["center"]
+
+    @center.setter
+    def center(self, val):
+        self["center"] = val
+
+    # eye
+    # ---
+    @property
+    def eye(self):
+        """
+        Sets the (x,y,z) components of the 'eye' camera vector. This
+        vector determines the view point about the origin of this
+        scene.
+    
+        The 'eye' property is an instance of Eye
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Eye`
+          - A dict of string/value properties that will be passed
+            to the Eye constructor
+    
+            Supported dict properties:
+                
+                x
+    
+                y
+    
+                z
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.camera.Eye
+        """
+        return self["eye"]
+
+    @eye.setter
+    def eye(self, val):
+        self["eye"] = val
+
+    # projection
+    # ----------
+    @property
+    def projection(self):
+        """
+        The 'projection' property is an instance of Projection
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Projection`
+          - A dict of string/value properties that will be passed
+            to the Projection constructor
+    
+            Supported dict properties:
+                
+                type
+                    Sets the projection type. The projection type
+                    could be either "perspective" or
+                    "orthographic". The default is "perspective".
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.camera.Projection
+        """
+        return self["projection"]
+
+    @projection.setter
+    def projection(self, val):
+        self["projection"] = val
+
+    # up
+    # --
+    @property
+    def up(self):
+        """
+        Sets the (x,y,z) components of the 'up' camera vector. This
+        vector determines the up direction of this scene with respect
+        to the page. The default is *{x: 0, y: 0, z: 1}* which means
+        that the z axis points up.
+    
+        The 'up' property is an instance of Up
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.camera.Up`
+          - A dict of string/value properties that will be passed
+            to the Up constructor
+    
+            Supported dict properties:
+                
+                x
+    
+                y
+    
+                z
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.camera.Up
+        """
+        return self["up"]
+
+    @up.setter
+    def up(self, val):
+        self["up"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        center
+            Sets the (x,y,z) components of the 'center' camera
+            vector This vector determines the translation (x,y,z)
+            space about the center of this scene. By default, there
+            is no such translation.
+        eye
+            Sets the (x,y,z) components of the 'eye' camera vector.
+            This vector determines the view point about the origin
+            of this scene.
+        projection
+            :class:`plotly.graph_objects.layout.scene.camera.Projec
+            tion` instance or dict with compatible properties
+        up
+            Sets the (x,y,z) components of the 'up' camera vector.
+            This vector determines the up direction of this scene
+            with respect to the page. The default is *{x: 0, y: 0,
+            z: 1}* which means that the z axis points up.
+        """
+
+    def __init__(
+        self, arg=None, center=None, eye=None, projection=None, up=None, **kwargs
+    ):
+        """
+        Construct a new Camera object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.Camera`
+        center
+            Sets the (x,y,z) components of the 'center' camera
+            vector This vector determines the translation (x,y,z)
+            space about the center of this scene. By default, there
+            is no such translation.
+        eye
+            Sets the (x,y,z) components of the 'eye' camera vector.
+            This vector determines the view point about the origin
+            of this scene.
+        projection
+            :class:`plotly.graph_objects.layout.scene.camera.Projec
+            tion` instance or dict with compatible properties
+        up
+            Sets the (x,y,z) components of the 'up' camera vector.
+            This vector determines the up direction of this scene
+            with respect to the page. The default is *{x: 0, y: 0,
+            z: 1}* which means that the z axis points up.
+
+        Returns
+        -------
+        Camera
+        """
+        super(Camera, self).__init__("camera")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.Camera 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.Camera`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("center", None)
+        _v = center if center is not None else _v
+        if _v is not None:
+            self["center"] = _v
+        _v = arg.pop("eye", None)
+        _v = eye if eye is not None else _v
+        if _v is not None:
+            self["eye"] = _v
+        _v = arg.pop("projection", None)
+        _v = projection if projection is not None else _v
+        if _v is not None:
+            self["projection"] = _v
+        _v = arg.pop("up", None)
+        _v = up if up is not None else _v
+        if _v is not None:
+            self["up"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_domain.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_domain.py
new file mode 100644
index 00000000000..c7ed0392f96
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this scene subplot .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this scene subplot .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this scene subplot (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this scene subplot (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this scene subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this scene subplot .
+        x
+            Sets the horizontal domain of this scene subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this scene subplot (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this scene subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this scene subplot .
+        x
+            Sets the horizontal domain of this scene subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this scene subplot (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_xaxis.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_xaxis.py
new file mode 100644
index 00000000000..3d4b277950a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_xaxis.py
@@ -0,0 +1,2558 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class XAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.xaxis"
+    _valid_props = {
+        "autorange",
+        "backgroundcolor",
+        "calendar",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "linecolor",
+        "linewidth",
+        "mirror",
+        "nticks",
+        "range",
+        "rangemode",
+        "separatethousands",
+        "showaxeslabels",
+        "showbackground",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showspikes",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "spikecolor",
+        "spikesides",
+        "spikethickness",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "type",
+        "visible",
+        "zeroline",
+        "zerolinecolor",
+        "zerolinewidth",
+    }
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # backgroundcolor
+    # ---------------
+    @property
+    def backgroundcolor(self):
+        """
+        Sets the background color of this axis' wall.
+    
+        The 'backgroundcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["backgroundcolor"]
+
+    @backgroundcolor.setter
+    def backgroundcolor(self, val):
+        self["backgroundcolor"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the calendar system to use for `range` and `tick0` if this
+        is a date axis. This does not set the calendar for interpreting
+        data on this axis, that's specified in the trace or via the
+        global `layout.calendar`
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # mirror
+    # ------
+    @property
+    def mirror(self):
+        """
+        Determines if the axis lines or/and ticks are mirrored to the
+        opposite side of the plotting area. If True, the axis lines are
+        mirrored. If "ticks", the axis lines and ticks are mirrored. If
+        False, mirroring is disable. If "all", axis lines are mirrored
+        on all shared-axes subplots. If "allticks", axis lines and
+        ticks are mirrored on all shared-axes subplots.
+    
+        The 'mirror' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, 'ticks', False, 'all', 'allticks']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mirror"]
+
+    @mirror.setter
+    def mirror(self, val):
+        self["mirror"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data. Applies only to
+        linear axes.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showaxeslabels
+    # --------------
+    @property
+    def showaxeslabels(self):
+        """
+        Sets whether or not this axis is labeled
+    
+        The 'showaxeslabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showaxeslabels"]
+
+    @showaxeslabels.setter
+    def showaxeslabels(self, val):
+        self["showaxeslabels"] = val
+
+    # showbackground
+    # --------------
+    @property
+    def showbackground(self):
+        """
+        Sets whether or not this axis' wall has a background color.
+    
+        The 'showbackground' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showbackground"]
+
+    @showbackground.setter
+    def showbackground(self, val):
+        self["showbackground"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showspikes
+    # ----------
+    @property
+    def showspikes(self):
+        """
+        Sets whether or not spikes starting from data points to this
+        axis' wall are shown on hover.
+    
+        The 'showspikes' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showspikes"]
+
+    @showspikes.setter
+    def showspikes(self, val):
+        self["showspikes"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # spikecolor
+    # ----------
+    @property
+    def spikecolor(self):
+        """
+        Sets the color of the spikes.
+    
+        The 'spikecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["spikecolor"]
+
+    @spikecolor.setter
+    def spikecolor(self, val):
+        self["spikecolor"] = val
+
+    # spikesides
+    # ----------
+    @property
+    def spikesides(self):
+        """
+        Sets whether or not spikes extending from the projection data
+        points to this axis' wall boundaries are shown on hover.
+    
+        The 'spikesides' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["spikesides"]
+
+    @spikesides.setter
+    def spikesides(self, val):
+        self["spikesides"] = val
+
+    # spikethickness
+    # --------------
+    @property
+    def spikethickness(self):
+        """
+        Sets the thickness (in px) of the spikes.
+    
+        The 'spikethickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["spikethickness"]
+
+    @spikethickness.setter
+    def spikethickness(self, val):
+        self["spikethickness"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.xaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.scene.xaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.scene.xaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.scene.xaxis.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        layout.scene.xaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.xaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.xaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.scene.xaxis.title.font instead.
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'log', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # zeroline
+    # --------
+    @property
+    def zeroline(self):
+        """
+        Determines whether or not a line is drawn at along the 0 value
+        of this axis. If True, the zero line is drawn on top of the
+        grid lines.
+    
+        The 'zeroline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zeroline"]
+
+    @zeroline.setter
+    def zeroline(self, val):
+        self["zeroline"] = val
+
+    # zerolinecolor
+    # -------------
+    @property
+    def zerolinecolor(self):
+        """
+        Sets the line color of the zero line.
+    
+        The 'zerolinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["zerolinecolor"]
+
+    @zerolinecolor.setter
+    def zerolinecolor(self, val):
+        self["zerolinecolor"] = val
+
+    # zerolinewidth
+    # -------------
+    @property
+    def zerolinewidth(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'zerolinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zerolinewidth"]
+
+    @zerolinewidth.setter
+    def zerolinewidth(self, val):
+        self["zerolinewidth"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        backgroundcolor
+            Sets the background color of this axis' wall.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showaxeslabels
+            Sets whether or not this axis is labeled
+        showbackground
+            Sets whether or not this axis' wall has a background
+            color.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Sets whether or not spikes starting from data points to
+            this axis' wall are shown on hover.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        spikecolor
+            Sets the color of the spikes.
+        spikesides
+            Sets whether or not spikes extending from the
+            projection data points to this axis' wall boundaries
+            are shown on hover.
+        spikethickness
+            Sets the thickness (in px) of the spikes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.scene.xa
+            xis.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.scen
+            e.xaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.scene.xaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.scene.xaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.scene.xaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        autorange=None,
+        backgroundcolor=None,
+        calendar=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        linecolor=None,
+        linewidth=None,
+        mirror=None,
+        nticks=None,
+        range=None,
+        rangemode=None,
+        separatethousands=None,
+        showaxeslabels=None,
+        showbackground=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showspikes=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        spikecolor=None,
+        spikesides=None,
+        spikethickness=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        type=None,
+        visible=None,
+        zeroline=None,
+        zerolinecolor=None,
+        zerolinewidth=None,
+        **kwargs
+    ):
+        """
+        Construct a new XAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.XAxis`
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        backgroundcolor
+            Sets the background color of this axis' wall.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showaxeslabels
+            Sets whether or not this axis is labeled
+        showbackground
+            Sets whether or not this axis' wall has a background
+            color.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Sets whether or not spikes starting from data points to
+            this axis' wall are shown on hover.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        spikecolor
+            Sets the color of the spikes.
+        spikesides
+            Sets whether or not spikes extending from the
+            projection data points to this axis' wall boundaries
+            are shown on hover.
+        spikethickness
+            Sets the thickness (in px) of the spikes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.scene.xa
+            xis.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.scen
+            e.xaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.scene.xaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.scene.xaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.scene.xaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        XAxis
+        """
+        super(XAxis, self).__init__("xaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.XAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.XAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("backgroundcolor", None)
+        _v = backgroundcolor if backgroundcolor is not None else _v
+        if _v is not None:
+            self["backgroundcolor"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("mirror", None)
+        _v = mirror if mirror is not None else _v
+        if _v is not None:
+            self["mirror"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showaxeslabels", None)
+        _v = showaxeslabels if showaxeslabels is not None else _v
+        if _v is not None:
+            self["showaxeslabels"] = _v
+        _v = arg.pop("showbackground", None)
+        _v = showbackground if showbackground is not None else _v
+        if _v is not None:
+            self["showbackground"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showspikes", None)
+        _v = showspikes if showspikes is not None else _v
+        if _v is not None:
+            self["showspikes"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("spikecolor", None)
+        _v = spikecolor if spikecolor is not None else _v
+        if _v is not None:
+            self["spikecolor"] = _v
+        _v = arg.pop("spikesides", None)
+        _v = spikesides if spikesides is not None else _v
+        if _v is not None:
+            self["spikesides"] = _v
+        _v = arg.pop("spikethickness", None)
+        _v = spikethickness if spikethickness is not None else _v
+        if _v is not None:
+            self["spikethickness"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("zeroline", None)
+        _v = zeroline if zeroline is not None else _v
+        if _v is not None:
+            self["zeroline"] = _v
+        _v = arg.pop("zerolinecolor", None)
+        _v = zerolinecolor if zerolinecolor is not None else _v
+        if _v is not None:
+            self["zerolinecolor"] = _v
+        _v = arg.pop("zerolinewidth", None)
+        _v = zerolinewidth if zerolinewidth is not None else _v
+        if _v is not None:
+            self["zerolinewidth"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_yaxis.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_yaxis.py
new file mode 100644
index 00000000000..1b065c50a97
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_yaxis.py
@@ -0,0 +1,2558 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class YAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.yaxis"
+    _valid_props = {
+        "autorange",
+        "backgroundcolor",
+        "calendar",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "linecolor",
+        "linewidth",
+        "mirror",
+        "nticks",
+        "range",
+        "rangemode",
+        "separatethousands",
+        "showaxeslabels",
+        "showbackground",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showspikes",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "spikecolor",
+        "spikesides",
+        "spikethickness",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "type",
+        "visible",
+        "zeroline",
+        "zerolinecolor",
+        "zerolinewidth",
+    }
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # backgroundcolor
+    # ---------------
+    @property
+    def backgroundcolor(self):
+        """
+        Sets the background color of this axis' wall.
+    
+        The 'backgroundcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["backgroundcolor"]
+
+    @backgroundcolor.setter
+    def backgroundcolor(self, val):
+        self["backgroundcolor"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the calendar system to use for `range` and `tick0` if this
+        is a date axis. This does not set the calendar for interpreting
+        data on this axis, that's specified in the trace or via the
+        global `layout.calendar`
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # mirror
+    # ------
+    @property
+    def mirror(self):
+        """
+        Determines if the axis lines or/and ticks are mirrored to the
+        opposite side of the plotting area. If True, the axis lines are
+        mirrored. If "ticks", the axis lines and ticks are mirrored. If
+        False, mirroring is disable. If "all", axis lines are mirrored
+        on all shared-axes subplots. If "allticks", axis lines and
+        ticks are mirrored on all shared-axes subplots.
+    
+        The 'mirror' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, 'ticks', False, 'all', 'allticks']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mirror"]
+
+    @mirror.setter
+    def mirror(self, val):
+        self["mirror"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data. Applies only to
+        linear axes.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showaxeslabels
+    # --------------
+    @property
+    def showaxeslabels(self):
+        """
+        Sets whether or not this axis is labeled
+    
+        The 'showaxeslabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showaxeslabels"]
+
+    @showaxeslabels.setter
+    def showaxeslabels(self, val):
+        self["showaxeslabels"] = val
+
+    # showbackground
+    # --------------
+    @property
+    def showbackground(self):
+        """
+        Sets whether or not this axis' wall has a background color.
+    
+        The 'showbackground' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showbackground"]
+
+    @showbackground.setter
+    def showbackground(self, val):
+        self["showbackground"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showspikes
+    # ----------
+    @property
+    def showspikes(self):
+        """
+        Sets whether or not spikes starting from data points to this
+        axis' wall are shown on hover.
+    
+        The 'showspikes' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showspikes"]
+
+    @showspikes.setter
+    def showspikes(self, val):
+        self["showspikes"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # spikecolor
+    # ----------
+    @property
+    def spikecolor(self):
+        """
+        Sets the color of the spikes.
+    
+        The 'spikecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["spikecolor"]
+
+    @spikecolor.setter
+    def spikecolor(self, val):
+        self["spikecolor"] = val
+
+    # spikesides
+    # ----------
+    @property
+    def spikesides(self):
+        """
+        Sets whether or not spikes extending from the projection data
+        points to this axis' wall boundaries are shown on hover.
+    
+        The 'spikesides' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["spikesides"]
+
+    @spikesides.setter
+    def spikesides(self, val):
+        self["spikesides"] = val
+
+    # spikethickness
+    # --------------
+    @property
+    def spikethickness(self):
+        """
+        Sets the thickness (in px) of the spikes.
+    
+        The 'spikethickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["spikethickness"]
+
+    @spikethickness.setter
+    def spikethickness(self, val):
+        self["spikethickness"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.yaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.scene.yaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.scene.yaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.scene.yaxis.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        layout.scene.yaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.yaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.yaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.scene.yaxis.title.font instead.
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'log', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # zeroline
+    # --------
+    @property
+    def zeroline(self):
+        """
+        Determines whether or not a line is drawn at along the 0 value
+        of this axis. If True, the zero line is drawn on top of the
+        grid lines.
+    
+        The 'zeroline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zeroline"]
+
+    @zeroline.setter
+    def zeroline(self, val):
+        self["zeroline"] = val
+
+    # zerolinecolor
+    # -------------
+    @property
+    def zerolinecolor(self):
+        """
+        Sets the line color of the zero line.
+    
+        The 'zerolinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["zerolinecolor"]
+
+    @zerolinecolor.setter
+    def zerolinecolor(self, val):
+        self["zerolinecolor"] = val
+
+    # zerolinewidth
+    # -------------
+    @property
+    def zerolinewidth(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'zerolinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zerolinewidth"]
+
+    @zerolinewidth.setter
+    def zerolinewidth(self, val):
+        self["zerolinewidth"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        backgroundcolor
+            Sets the background color of this axis' wall.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showaxeslabels
+            Sets whether or not this axis is labeled
+        showbackground
+            Sets whether or not this axis' wall has a background
+            color.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Sets whether or not spikes starting from data points to
+            this axis' wall are shown on hover.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        spikecolor
+            Sets the color of the spikes.
+        spikesides
+            Sets whether or not spikes extending from the
+            projection data points to this axis' wall boundaries
+            are shown on hover.
+        spikethickness
+            Sets the thickness (in px) of the spikes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.scene.ya
+            xis.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.scen
+            e.yaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.scene.yaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.scene.yaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.scene.yaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        autorange=None,
+        backgroundcolor=None,
+        calendar=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        linecolor=None,
+        linewidth=None,
+        mirror=None,
+        nticks=None,
+        range=None,
+        rangemode=None,
+        separatethousands=None,
+        showaxeslabels=None,
+        showbackground=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showspikes=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        spikecolor=None,
+        spikesides=None,
+        spikethickness=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        type=None,
+        visible=None,
+        zeroline=None,
+        zerolinecolor=None,
+        zerolinewidth=None,
+        **kwargs
+    ):
+        """
+        Construct a new YAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.YAxis`
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        backgroundcolor
+            Sets the background color of this axis' wall.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showaxeslabels
+            Sets whether or not this axis is labeled
+        showbackground
+            Sets whether or not this axis' wall has a background
+            color.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Sets whether or not spikes starting from data points to
+            this axis' wall are shown on hover.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        spikecolor
+            Sets the color of the spikes.
+        spikesides
+            Sets whether or not spikes extending from the
+            projection data points to this axis' wall boundaries
+            are shown on hover.
+        spikethickness
+            Sets the thickness (in px) of the spikes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.scene.ya
+            xis.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.scen
+            e.yaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.scene.yaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.scene.yaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.scene.yaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        YAxis
+        """
+        super(YAxis, self).__init__("yaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.YAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.YAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("backgroundcolor", None)
+        _v = backgroundcolor if backgroundcolor is not None else _v
+        if _v is not None:
+            self["backgroundcolor"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("mirror", None)
+        _v = mirror if mirror is not None else _v
+        if _v is not None:
+            self["mirror"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showaxeslabels", None)
+        _v = showaxeslabels if showaxeslabels is not None else _v
+        if _v is not None:
+            self["showaxeslabels"] = _v
+        _v = arg.pop("showbackground", None)
+        _v = showbackground if showbackground is not None else _v
+        if _v is not None:
+            self["showbackground"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showspikes", None)
+        _v = showspikes if showspikes is not None else _v
+        if _v is not None:
+            self["showspikes"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("spikecolor", None)
+        _v = spikecolor if spikecolor is not None else _v
+        if _v is not None:
+            self["spikecolor"] = _v
+        _v = arg.pop("spikesides", None)
+        _v = spikesides if spikesides is not None else _v
+        if _v is not None:
+            self["spikesides"] = _v
+        _v = arg.pop("spikethickness", None)
+        _v = spikethickness if spikethickness is not None else _v
+        if _v is not None:
+            self["spikethickness"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("zeroline", None)
+        _v = zeroline if zeroline is not None else _v
+        if _v is not None:
+            self["zeroline"] = _v
+        _v = arg.pop("zerolinecolor", None)
+        _v = zerolinecolor if zerolinecolor is not None else _v
+        if _v is not None:
+            self["zerolinecolor"] = _v
+        _v = arg.pop("zerolinewidth", None)
+        _v = zerolinewidth if zerolinewidth is not None else _v
+        if _v is not None:
+            self["zerolinewidth"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/_zaxis.py b/packages/python/plotly/plotly/graph_objs/layout/scene/_zaxis.py
new file mode 100644
index 00000000000..5732279016e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/_zaxis.py
@@ -0,0 +1,2558 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class ZAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene"
+    _path_str = "layout.scene.zaxis"
+    _valid_props = {
+        "autorange",
+        "backgroundcolor",
+        "calendar",
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "linecolor",
+        "linewidth",
+        "mirror",
+        "nticks",
+        "range",
+        "rangemode",
+        "separatethousands",
+        "showaxeslabels",
+        "showbackground",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showspikes",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "spikecolor",
+        "spikesides",
+        "spikethickness",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "type",
+        "visible",
+        "zeroline",
+        "zerolinecolor",
+        "zerolinewidth",
+    }
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range of this axis is computed in
+        relation to the input data. See `rangemode` for more info. If
+        `range` is provided, then `autorange` is set to False.
+    
+        The 'autorange' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # backgroundcolor
+    # ---------------
+    @property
+    def backgroundcolor(self):
+        """
+        Sets the background color of this axis' wall.
+    
+        The 'backgroundcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["backgroundcolor"]
+
+    @backgroundcolor.setter
+    def backgroundcolor(self, val):
+        self["backgroundcolor"] = val
+
+    # calendar
+    # --------
+    @property
+    def calendar(self):
+        """
+        Sets the calendar system to use for `range` and `tick0` if this
+        is a date axis. This does not set the calendar for interpreting
+        data on this axis, that's specified in the trace or via the
+        global `layout.calendar`
+    
+        The 'calendar' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['gregorian', 'chinese', 'coptic', 'discworld',
+                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
+                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
+                'thai', 'ummalqura']
+
+        Returns
+        -------
+        Any
+        """
+        return self["calendar"]
+
+    @calendar.setter
+    def calendar(self, val):
+        self["calendar"] = val
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories on this axis appear. Only
+        has an effect if `categoryorder` is set to "array". Used with
+        `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the case of categorical
+        variables. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`. Set `categoryorder` to *total ascending* or
+        *total descending* if order should be determined by the
+        numerical order of the values. Similarly, the order can be
+        determined by the min, max, sum, mean or median of all the
+        values.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array', 'total ascending', 'total descending', 'min
+                ascending', 'min descending', 'max ascending', 'max
+                descending', 'sum ascending', 'sum descending', 'mean
+                ascending', 'mean descending', 'median ascending', 'median
+                descending']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # mirror
+    # ------
+    @property
+    def mirror(self):
+        """
+        Determines if the axis lines or/and ticks are mirrored to the
+        opposite side of the plotting area. If True, the axis lines are
+        mirrored. If "ticks", the axis lines and ticks are mirrored. If
+        False, mirroring is disable. If "all", axis lines are mirrored
+        on all shared-axes subplots. If "allticks", axis lines and
+        ticks are mirrored on all shared-axes subplots.
+    
+        The 'mirror' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, 'ticks', False, 'all', 'allticks']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mirror"]
+
+    @mirror.setter
+    def mirror(self, val):
+        self["mirror"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis. If the axis `type` is "log", then
+        you must take the log of your desired range (e.g. to set the
+        range from 1 to 100, set the range from 0 to 2). If the axis
+        `type` is "date", it should be date strings, like date data,
+        though Date objects and unix milliseconds will be accepted and
+        converted to strings. If the axis `type` is "category", it
+        should be numbers, using the scale where each category is
+        assigned a serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        If "normal", the range is computed in relation to the extrema
+        of the input data. If *tozero*`, the range extends to 0,
+        regardless of the input data If "nonnegative", the range is
+        non-negative, regardless of the input data. Applies only to
+        linear axes.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['normal', 'tozero', 'nonnegative']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showaxeslabels
+    # --------------
+    @property
+    def showaxeslabels(self):
+        """
+        Sets whether or not this axis is labeled
+    
+        The 'showaxeslabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showaxeslabels"]
+
+    @showaxeslabels.setter
+    def showaxeslabels(self, val):
+        self["showaxeslabels"] = val
+
+    # showbackground
+    # --------------
+    @property
+    def showbackground(self):
+        """
+        Sets whether or not this axis' wall has a background color.
+    
+        The 'showbackground' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showbackground"]
+
+    @showbackground.setter
+    def showbackground(self, val):
+        self["showbackground"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showspikes
+    # ----------
+    @property
+    def showspikes(self):
+        """
+        Sets whether or not spikes starting from data points to this
+        axis' wall are shown on hover.
+    
+        The 'showspikes' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showspikes"]
+
+    @showspikes.setter
+    def showspikes(self, val):
+        self["showspikes"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # spikecolor
+    # ----------
+    @property
+    def spikecolor(self):
+        """
+        Sets the color of the spikes.
+    
+        The 'spikecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["spikecolor"]
+
+    @spikecolor.setter
+    def spikecolor(self, val):
+        self["spikecolor"] = val
+
+    # spikesides
+    # ----------
+    @property
+    def spikesides(self):
+        """
+        Sets whether or not spikes extending from the projection data
+        points to this axis' wall boundaries are shown on hover.
+    
+        The 'spikesides' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["spikesides"]
+
+    @spikesides.setter
+    def spikesides(self, val):
+        self["spikesides"] = val
+
+    # spikethickness
+    # --------------
+    @property
+    def spikethickness(self):
+        """
+        Sets the thickness (in px) of the spikes.
+    
+        The 'spikethickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["spikethickness"]
+
+    @spikethickness.setter
+    def spikethickness(self, val):
+        self["spikethickness"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.zaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.scene.zaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.scene.zaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.scene.zaxis.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        layout.scene.zaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.zaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.zaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.scene.zaxis.title.font instead.
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type. By default, plotly attempts to determined
+        the axis type by looking into the data of the traces that
+        referenced the axis in question.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['-', 'linear', 'log', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        A single toggle to hide the axis while preserving interaction
+        like dragging. Default is true when a cheater plot is present
+        on the axis, otherwise false
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # zeroline
+    # --------
+    @property
+    def zeroline(self):
+        """
+        Determines whether or not a line is drawn at along the 0 value
+        of this axis. If True, the zero line is drawn on top of the
+        grid lines.
+    
+        The 'zeroline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["zeroline"]
+
+    @zeroline.setter
+    def zeroline(self, val):
+        self["zeroline"] = val
+
+    # zerolinecolor
+    # -------------
+    @property
+    def zerolinecolor(self):
+        """
+        Sets the line color of the zero line.
+    
+        The 'zerolinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["zerolinecolor"]
+
+    @zerolinecolor.setter
+    def zerolinecolor(self, val):
+        self["zerolinecolor"] = val
+
+    # zerolinewidth
+    # -------------
+    @property
+    def zerolinewidth(self):
+        """
+        Sets the width (in px) of the zero line.
+    
+        The 'zerolinewidth' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["zerolinewidth"]
+
+    @zerolinewidth.setter
+    def zerolinewidth(self, val):
+        self["zerolinewidth"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        backgroundcolor
+            Sets the background color of this axis' wall.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showaxeslabels
+            Sets whether or not this axis is labeled
+        showbackground
+            Sets whether or not this axis' wall has a background
+            color.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Sets whether or not spikes starting from data points to
+            this axis' wall are shown on hover.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        spikecolor
+            Sets the color of the spikes.
+        spikesides
+            Sets whether or not spikes extending from the
+            projection data points to this axis' wall boundaries
+            are shown on hover.
+        spikethickness
+            Sets the thickness (in px) of the spikes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.scene.za
+            xis.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.scen
+            e.zaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.scene.zaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.scene.zaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.scene.zaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        autorange=None,
+        backgroundcolor=None,
+        calendar=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        linecolor=None,
+        linewidth=None,
+        mirror=None,
+        nticks=None,
+        range=None,
+        rangemode=None,
+        separatethousands=None,
+        showaxeslabels=None,
+        showbackground=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showspikes=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        spikecolor=None,
+        spikesides=None,
+        spikethickness=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        type=None,
+        visible=None,
+        zeroline=None,
+        zerolinecolor=None,
+        zerolinewidth=None,
+        **kwargs
+    ):
+        """
+        Construct a new ZAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.ZAxis`
+        autorange
+            Determines whether or not the range of this axis is
+            computed in relation to the input data. See `rangemode`
+            for more info. If `range` is provided, then `autorange`
+            is set to False.
+        backgroundcolor
+            Sets the background color of this axis' wall.
+        calendar
+            Sets the calendar system to use for `range` and `tick0`
+            if this is a date axis. This does not set the calendar
+            for interpreting data on this axis, that's specified in
+            the trace or via the global `layout.calendar`
+        categoryarray
+            Sets the order in which categories on this axis appear.
+            Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the case of
+            categorical variables. By default, plotly uses "trace",
+            which specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`. Set `categoryorder`
+            to *total ascending* or *total descending* if order
+            should be determined by the numerical order of the
+            values. Similarly, the order can be determined by the
+            min, max, sum, mean or median of all the values.
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        mirror
+            Determines if the axis lines or/and ticks are mirrored
+            to the opposite side of the plotting area. If True, the
+            axis lines are mirrored. If "ticks", the axis lines and
+            ticks are mirrored. If False, mirroring is disable. If
+            "all", axis lines are mirrored on all shared-axes
+            subplots. If "allticks", axis lines and ticks are
+            mirrored on all shared-axes subplots.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        range
+            Sets the range of this axis. If the axis `type` is
+            "log", then you must take the log of your desired range
+            (e.g. to set the range from 1 to 100, set the range
+            from 0 to 2). If the axis `type` is "date", it should
+            be date strings, like date data, though Date objects
+            and unix milliseconds will be accepted and converted to
+            strings. If the axis `type` is "category", it should be
+            numbers, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        rangemode
+            If "normal", the range is computed in relation to the
+            extrema of the input data. If *tozero*`, the range
+            extends to 0, regardless of the input data If
+            "nonnegative", the range is non-negative, regardless of
+            the input data. Applies only to linear axes.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showaxeslabels
+            Sets whether or not this axis is labeled
+        showbackground
+            Sets whether or not this axis' wall has a background
+            color.
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showspikes
+            Sets whether or not spikes starting from data points to
+            this axis' wall are shown on hover.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        spikecolor
+            Sets the color of the spikes.
+        spikesides
+            Sets whether or not spikes extending from the
+            projection data points to this axis' wall boundaries
+            are shown on hover.
+        spikethickness
+            Sets the thickness (in px) of the spikes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.scene.za
+            xis.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.scen
+            e.zaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.scene.zaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.scene.zaxis.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.scene.zaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        type
+            Sets the axis type. By default, plotly attempts to
+            determined the axis type by looking into the data of
+            the traces that referenced the axis in question.
+        visible
+            A single toggle to hide the axis while preserving
+            interaction like dragging. Default is true when a
+            cheater plot is present on the axis, otherwise false
+        zeroline
+            Determines whether or not a line is drawn at along the
+            0 value of this axis. If True, the zero line is drawn
+            on top of the grid lines.
+        zerolinecolor
+            Sets the line color of the zero line.
+        zerolinewidth
+            Sets the width (in px) of the zero line.
+
+        Returns
+        -------
+        ZAxis
+        """
+        super(ZAxis, self).__init__("zaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.ZAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.ZAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("backgroundcolor", None)
+        _v = backgroundcolor if backgroundcolor is not None else _v
+        if _v is not None:
+            self["backgroundcolor"] = _v
+        _v = arg.pop("calendar", None)
+        _v = calendar if calendar is not None else _v
+        if _v is not None:
+            self["calendar"] = _v
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("mirror", None)
+        _v = mirror if mirror is not None else _v
+        if _v is not None:
+            self["mirror"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showaxeslabels", None)
+        _v = showaxeslabels if showaxeslabels is not None else _v
+        if _v is not None:
+            self["showaxeslabels"] = _v
+        _v = arg.pop("showbackground", None)
+        _v = showbackground if showbackground is not None else _v
+        if _v is not None:
+            self["showbackground"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showspikes", None)
+        _v = showspikes if showspikes is not None else _v
+        if _v is not None:
+            self["showspikes"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("spikecolor", None)
+        _v = spikecolor if spikecolor is not None else _v
+        if _v is not None:
+            self["spikecolor"] = _v
+        _v = arg.pop("spikesides", None)
+        _v = spikesides if spikesides is not None else _v
+        if _v is not None:
+            self["spikesides"] = _v
+        _v = arg.pop("spikethickness", None)
+        _v = spikethickness if spikethickness is not None else _v
+        if _v is not None:
+            self["spikethickness"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("zeroline", None)
+        _v = zeroline if zeroline is not None else _v
+        if _v is not None:
+            self["zeroline"] = _v
+        _v = arg.pop("zerolinecolor", None)
+        _v = zerolinecolor if zerolinecolor is not None else _v
+        if _v is not None:
+            self["zerolinecolor"] = _v
+        _v = arg.pop("zerolinewidth", None)
+        _v = zerolinewidth if zerolinewidth is not None else _v
+        if _v is not None:
+            self["zerolinewidth"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/__init__.py
index c101263b933..c0bc5e9b5fa 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/__init__.py
@@ -1,508 +1,12 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseLayoutHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover label. By default uses
-        the annotation's `bgcolor` made opaque, or white if it was
-        transparent.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover label. By default uses
-        either dark grey or white, for maximum contrast with
-        `hoverlabel.bgcolor`.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the hover label text font. By default uses the global
-        hover font and size, with color from `hoverlabel.bordercolor`.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.annotation.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.annotation.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.annotation"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the background color of the hover label. By
-            default uses the annotation's `bgcolor` made opaque, or
-            white if it was transparent.
-        bordercolor
-            Sets the border color of the hover label. By default
-            uses either dark grey or white, for maximum contrast
-            with `hoverlabel.bgcolor`.
-        font
-            Sets the hover label text font. By default uses the
-            global hover font and size, with color from
-            `hoverlabel.bordercolor`.
-        """
-
-    def __init__(self, arg=None, bgcolor=None, bordercolor=None, font=None, **kwargs):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.a
-            nnotation.Hoverlabel`
-        bgcolor
-            Sets the background color of the hover label. By
-            default uses the annotation's `bgcolor` made opaque, or
-            white if it was transparent.
-        bordercolor
-            Sets the border color of the hover label. By default
-            uses either dark grey or white, for maximum contrast
-            with `hoverlabel.bgcolor`.
-        font
-            Sets the hover label text font. By default uses the
-            global hover font and size, with color from
-            `hoverlabel.bordercolor`.
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.annotation.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.annotation.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.annotation import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.annotation"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the annotation text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.annotation.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.annotation.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.annotation.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.annotation import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font", "Hoverlabel", "hoverlabel"]
-
-from plotly.graph_objs.layout.scene.annotation import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._hoverlabel import Hoverlabel
+    from ._font import Font
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".hoverlabel"], ["._hoverlabel.Hoverlabel", "._font.Font"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/_font.py b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/_font.py
new file mode 100644
index 00000000000..6331ecd5609
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.annotation"
+    _path_str = "layout.scene.annotation.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the annotation text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.annotation.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.annotation.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.annotation.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/_hoverlabel.py
new file mode 100644
index 00000000000..92f1c6a04a4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/_hoverlabel.py
@@ -0,0 +1,275 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.annotation"
+    _path_str = "layout.scene.annotation.hoverlabel"
+    _valid_props = {"bgcolor", "bordercolor", "font"}
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover label. By default uses
+        the annotation's `bgcolor` made opaque, or white if it was
+        transparent.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover label. By default uses
+        either dark grey or white, for maximum contrast with
+        `hoverlabel.bgcolor`.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the hover label text font. By default uses the global
+        hover font and size, with color from `hoverlabel.bordercolor`.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.annotation.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.annotation.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the background color of the hover label. By
+            default uses the annotation's `bgcolor` made opaque, or
+            white if it was transparent.
+        bordercolor
+            Sets the border color of the hover label. By default
+            uses either dark grey or white, for maximum contrast
+            with `hoverlabel.bgcolor`.
+        font
+            Sets the hover label text font. By default uses the
+            global hover font and size, with color from
+            `hoverlabel.bordercolor`.
+        """
+
+    def __init__(self, arg=None, bgcolor=None, bordercolor=None, font=None, **kwargs):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.a
+            nnotation.Hoverlabel`
+        bgcolor
+            Sets the background color of the hover label. By
+            default uses the annotation's `bgcolor` made opaque, or
+            white if it was transparent.
+        bordercolor
+            Sets the border color of the hover label. By default
+            uses either dark grey or white, for maximum contrast
+            with `hoverlabel.bgcolor`.
+        font
+            Sets the hover label text font. By default uses the
+            global hover font and size, with color from
+            `hoverlabel.bordercolor`.
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.annotation.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.annotation.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/__init__.py
index 28e260ad7c6..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.annotation.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the hover label text font. By default uses the global
-        hover font and size, with color from `hoverlabel.bordercolor`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.a
-            nnotation.hoverlabel.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.annotation.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.annotation.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.annotation.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/_font.py
new file mode 100644
index 00000000000..94f03b0544d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/annotation/hoverlabel/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.annotation.hoverlabel"
+    _path_str = "layout.scene.annotation.hoverlabel.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the hover label text font. By default uses the global
+        hover font and size, with color from `hoverlabel.bordercolor`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.a
+            nnotation.hoverlabel.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.annotation.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.annotation.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/camera/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/__init__.py
index 0c7ed39d465..d0c86a70653 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/camera/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/__init__.py
@@ -1,572 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Up(_BaseLayoutHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.camera"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-
-        y
-
-        z
-
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Up object
-        
-        Sets the (x,y,z) components of the 'up' camera vector. This
-        vector determines the up direction of this scene with respect
-        to the page. The default is *{x: 0, y: 0, z: 1}* which means
-        that the z axis points up.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.camera.Up`
-        x
-
-        y
-
-        z
-
-
-        Returns
-        -------
-        Up
-        """
-        super(Up, self).__init__("up")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.camera.Up 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.camera.Up`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.camera import up as v_up
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_up.XValidator()
-        self._validators["y"] = v_up.YValidator()
-        self._validators["z"] = v_up.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Projection(_BaseLayoutHierarchyType):
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the projection type. The projection type could be either
-        "perspective" or "orthographic". The default is "perspective".
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['perspective', 'orthographic']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.camera"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        type
-            Sets the projection type. The projection type could be
-            either "perspective" or "orthographic". The default is
-            "perspective".
-        """
-
-    def __init__(self, arg=None, type=None, **kwargs):
-        """
-        Construct a new Projection object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.c
-            amera.Projection`
-        type
-            Sets the projection type. The projection type could be
-            either "perspective" or "orthographic". The default is
-            "perspective".
-
-        Returns
-        -------
-        Projection
-        """
-        super(Projection, self).__init__("projection")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.camera.Projection 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.camera.Projection`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.camera import projection as v_projection
-
-        # Initialize validators
-        # ---------------------
-        self._validators["type"] = v_projection.TypeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Eye(_BaseLayoutHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.camera"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-
-        y
-
-        z
-
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Eye object
-        
-        Sets the (x,y,z) components of the 'eye' camera vector. This
-        vector determines the view point about the origin of this
-        scene.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.camera.Eye`
-        x
-
-        y
-
-        z
-
-
-        Returns
-        -------
-        Eye
-        """
-        super(Eye, self).__init__("eye")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.camera.Eye 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.camera.Eye`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.camera import eye as v_eye
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_eye.XValidator()
-        self._validators["y"] = v_eye.YValidator()
-        self._validators["z"] = v_eye.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Center(_BaseLayoutHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.camera"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-
-        y
-
-        z
-
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Center object
-        
-        Sets the (x,y,z) components of the 'center' camera vector This
-        vector determines the translation (x,y,z) space about the
-        center of this scene. By default, there is no such translation.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.camera.Center`
-        x
-
-        y
-
-        z
-
-
-        Returns
-        -------
-        Center
-        """
-        super(Center, self).__init__("center")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.camera.Center 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.camera.Center`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.camera import center as v_center
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_center.XValidator()
-        self._validators["y"] = v_center.YValidator()
-        self._validators["z"] = v_center.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Center", "Eye", "Projection", "Up"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._up import Up
+    from ._projection import Projection
+    from ._eye import Eye
+    from ._center import Center
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._up.Up", "._projection.Projection", "._eye.Eye", "._center.Center"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_center.py b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_center.py
new file mode 100644
index 00000000000..8df5bdbe40c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_center.py
@@ -0,0 +1,152 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Center(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.camera"
+    _path_str = "layout.scene.camera.center"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+
+        y
+
+        z
+
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Center object
+        
+        Sets the (x,y,z) components of the 'center' camera vector This
+        vector determines the translation (x,y,z) space about the
+        center of this scene. By default, there is no such translation.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.camera.Center`
+        x
+
+        y
+
+        z
+
+
+        Returns
+        -------
+        Center
+        """
+        super(Center, self).__init__("center")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.camera.Center 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.camera.Center`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_eye.py b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_eye.py
new file mode 100644
index 00000000000..6d635bc5233
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_eye.py
@@ -0,0 +1,152 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Eye(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.camera"
+    _path_str = "layout.scene.camera.eye"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+
+        y
+
+        z
+
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Eye object
+        
+        Sets the (x,y,z) components of the 'eye' camera vector. This
+        vector determines the view point about the origin of this
+        scene.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.camera.Eye`
+        x
+
+        y
+
+        z
+
+
+        Returns
+        -------
+        Eye
+        """
+        super(Eye, self).__init__("eye")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.camera.Eye 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.camera.Eye`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_projection.py b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_projection.py
new file mode 100644
index 00000000000..c2c821cd351
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_projection.py
@@ -0,0 +1,104 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Projection(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.camera"
+    _path_str = "layout.scene.camera.projection"
+    _valid_props = {"type"}
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the projection type. The projection type could be either
+        "perspective" or "orthographic". The default is "perspective".
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['perspective', 'orthographic']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        type
+            Sets the projection type. The projection type could be
+            either "perspective" or "orthographic". The default is
+            "perspective".
+        """
+
+    def __init__(self, arg=None, type=None, **kwargs):
+        """
+        Construct a new Projection object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.c
+            amera.Projection`
+        type
+            Sets the projection type. The projection type could be
+            either "perspective" or "orthographic". The default is
+            "perspective".
+
+        Returns
+        -------
+        Projection
+        """
+        super(Projection, self).__init__("projection")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.camera.Projection 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.camera.Projection`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_up.py b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_up.py
new file mode 100644
index 00000000000..964755d0cc4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/camera/_up.py
@@ -0,0 +1,153 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Up(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.camera"
+    _path_str = "layout.scene.camera.up"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+
+        y
+
+        z
+
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Up object
+        
+        Sets the (x,y,z) components of the 'up' camera vector. This
+        vector determines the up direction of this scene with respect
+        to the page. The default is *{x: 0, y: 0, z: 1}* which means
+        that the z axis points up.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.camera.Up`
+        x
+
+        y
+
+        z
+
+
+        Returns
+        -------
+        Up
+        """
+        super(Up, self).__init__("up")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.camera.Up 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.camera.Up`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/__init__.py
index d00346737cf..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.xaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.xaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.xaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.xaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.xaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.x
-            axis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.xaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.xaxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.xaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.xaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.xaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.scene.xaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_tickfont.py
new file mode 100644
index 00000000000..a0a8796f916
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.xaxis"
+    _path_str = "layout.scene.xaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.xaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.xaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_tickformatstop.py
new file mode 100644
index 00000000000..c8bbe483a02
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.xaxis"
+    _path_str = "layout.scene.xaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.x
+            axis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.xaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.xaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_title.py
new file mode 100644
index 00000000000..79efc843f31
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.xaxis"
+    _path_str = "layout.scene.xaxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.xaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.xaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.xaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.xaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.xaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/__init__.py
index 985132ceb68..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.xaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.x
-            axis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.xaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.xaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.xaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/_font.py
new file mode 100644
index 00000000000..7e64b6c86fc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/xaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.xaxis.title"
+    _path_str = "layout.scene.xaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.x
+            axis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.xaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.xaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/__init__.py
index c7f2db3acf7..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.yaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.yaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.yaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.yaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.yaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.y
-            axis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.yaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.yaxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.yaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.yaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.yaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.scene.yaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_tickfont.py
new file mode 100644
index 00000000000..c950bfd4ae8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.yaxis"
+    _path_str = "layout.scene.yaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.yaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.yaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_tickformatstop.py
new file mode 100644
index 00000000000..a63b5a7132d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.yaxis"
+    _path_str = "layout.scene.yaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.y
+            axis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.yaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.yaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_title.py
new file mode 100644
index 00000000000..c2d1983cb00
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.yaxis"
+    _path_str = "layout.scene.yaxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.yaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.yaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.yaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.yaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.yaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/__init__.py
index cdfd86560c5..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.yaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.y
-            axis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.yaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.yaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.yaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/_font.py
new file mode 100644
index 00000000000..193f66c3281
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/yaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.yaxis.title"
+    _path_str = "layout.scene.yaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.y
+            axis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.yaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.yaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/__init__.py
index e0f55717011..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.scene.zaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.zaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.zaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.zaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.zaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.zaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.zaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.z
-            axis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.zaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.zaxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.zaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.scene.zaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.zaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.zaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.scene.zaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_tickfont.py
new file mode 100644
index 00000000000..e6c557c1c1c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.zaxis"
+    _path_str = "layout.scene.zaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.zaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.zaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_tickformatstop.py
new file mode 100644
index 00000000000..79ad03af2a4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.zaxis"
+    _path_str = "layout.scene.zaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.z
+            axis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.zaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.zaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_title.py
new file mode 100644
index 00000000000..74c3afc8220
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.zaxis"
+    _path_str = "layout.scene.zaxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.scene.zaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.scene.zaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.scene.zaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.zaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.zaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/__init__.py
index d1522830d00..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.scene.zaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.scene.z
-            axis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.scene.zaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.scene.zaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.scene.zaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/_font.py
new file mode 100644
index 00000000000..148e05257d7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/scene/zaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.scene.zaxis.title"
+    _path_str = "layout.scene.zaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.scene.z
+            axis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.scene.zaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.scene.zaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/shape/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/shape/__init__.py
index 9506e7a649c..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/shape/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/shape/__init__.py
@@ -1,208 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is a string and must be specified as:
-          - One of the following strings:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.shape"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.shape.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.shape.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.shape.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.shape import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/shape/_line.py b/packages/python/plotly/plotly/graph_objs/layout/shape/_line.py
new file mode 100644
index 00000000000..33550712b7f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/shape/_line.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Line(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.shape"
+    _path_str = "layout.shape.line"
+    _valid_props = {"color", "dash", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is a string and must be specified as:
+          - One of the following strings:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.shape.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.shape.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.shape.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/slider/__init__.py
index b2f1460f196..485c13c2d5f 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/slider/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/__init__.py
@@ -1,1253 +1,23 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Transition(_BaseLayoutHierarchyType):
-
-    # duration
-    # --------
-    @property
-    def duration(self):
-        """
-        Sets the duration of the slider transition
-    
-        The 'duration' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["duration"]
-
-    @duration.setter
-    def duration(self, val):
-        self["duration"] = val
-
-    # easing
-    # ------
-    @property
-    def easing(self):
-        """
-        Sets the easing function of the slider transition
-    
-        The 'easing' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'quad', 'cubic', 'sin', 'exp', 'circle',
-                'elastic', 'back', 'bounce', 'linear-in', 'quad-in',
-                'cubic-in', 'sin-in', 'exp-in', 'circle-in', 'elastic-in',
-                'back-in', 'bounce-in', 'linear-out', 'quad-out',
-                'cubic-out', 'sin-out', 'exp-out', 'circle-out',
-                'elastic-out', 'back-out', 'bounce-out', 'linear-in-out',
-                'quad-in-out', 'cubic-in-out', 'sin-in-out', 'exp-in-out',
-                'circle-in-out', 'elastic-in-out', 'back-in-out',
-                'bounce-in-out']
-
-        Returns
-        -------
-        Any
-        """
-        return self["easing"]
-
-    @easing.setter
-    def easing(self, val):
-        self["easing"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.slider"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        duration
-            Sets the duration of the slider transition
-        easing
-            Sets the easing function of the slider transition
-        """
-
-    def __init__(self, arg=None, duration=None, easing=None, **kwargs):
-        """
-        Construct a new Transition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.slider.Transition`
-        duration
-            Sets the duration of the slider transition
-        easing
-            Sets the easing function of the slider transition
-
-        Returns
-        -------
-        Transition
-        """
-        super(Transition, self).__init__("transition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.slider.Transition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.slider.Transition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.slider import transition as v_transition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["duration"] = v_transition.DurationValidator()
-        self._validators["easing"] = v_transition.EasingValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("duration", None)
-        self["duration"] = duration if duration is not None else _v
-        _v = arg.pop("easing", None)
-        self["easing"] = easing if easing is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Step(_BaseLayoutHierarchyType):
-
-    # args
-    # ----
-    @property
-    def args(self):
-        """
-        Sets the arguments values to be passed to the Plotly method set
-        in `method` on slide.
-    
-        The 'args' property is an info array that may be specified as:
-    
-        * a list or tuple of up to 3 elements where:
-    (0) The 'args[0]' property accepts values of any type
-    (1) The 'args[1]' property accepts values of any type
-    (2) The 'args[2]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["args"]
-
-    @args.setter
-    def args(self, val):
-        self["args"] = val
-
-    # execute
-    # -------
-    @property
-    def execute(self):
-        """
-        When true, the API method is executed. When false, all other
-        behaviors are the same and command execution is skipped. This
-        may be useful when hooking into, for example, the
-        `plotly_sliderchange` method and executing the API command
-        manually without losing the benefit of the slider automatically
-        binding to the state of the plot through the specification of
-        `method` and `args`.
-    
-        The 'execute' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["execute"]
-
-    @execute.setter
-    def execute(self, val):
-        self["execute"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        Sets the text label to appear on the slider
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # method
-    # ------
-    @property
-    def method(self):
-        """
-        Sets the Plotly method to be called when the slider value is
-        changed. If the `skip` method is used, the API slider will
-        function as normal but will perform no API calls and will not
-        bind automatically to state updates. This may be used to create
-        a component interface and attach to slider events manually via
-        JavaScript.
-    
-        The 'method' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['restyle', 'relayout', 'animate', 'update', 'skip']
-
-        Returns
-        -------
-        Any
-        """
-        return self["method"]
-
-    @method.setter
-    def method(self, val):
-        self["method"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of the slider step, used to refer to the step
-        programatically. Defaults to the slider label if not provided.
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this step is included in the slider.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.slider"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        args
-            Sets the arguments values to be passed to the Plotly
-            method set in `method` on slide.
-        execute
-            When true, the API method is executed. When false, all
-            other behaviors are the same and command execution is
-            skipped. This may be useful when hooking into, for
-            example, the `plotly_sliderchange` method and executing
-            the API command manually without losing the benefit of
-            the slider automatically binding to the state of the
-            plot through the specification of `method` and `args`.
-        label
-            Sets the text label to appear on the slider
-        method
-            Sets the Plotly method to be called when the slider
-            value is changed. If the `skip` method is used, the API
-            slider will function as normal but will perform no API
-            calls and will not bind automatically to state updates.
-            This may be used to create a component interface and
-            attach to slider events manually via JavaScript.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            Sets the value of the slider step, used to refer to the
-            step programatically. Defaults to the slider label if
-            not provided.
-        visible
-            Determines whether or not this step is included in the
-            slider.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        args=None,
-        execute=None,
-        label=None,
-        method=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Step object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.slider.Step`
-        args
-            Sets the arguments values to be passed to the Plotly
-            method set in `method` on slide.
-        execute
-            When true, the API method is executed. When false, all
-            other behaviors are the same and command execution is
-            skipped. This may be useful when hooking into, for
-            example, the `plotly_sliderchange` method and executing
-            the API command manually without losing the benefit of
-            the slider automatically binding to the state of the
-            plot through the specification of `method` and `args`.
-        label
-            Sets the text label to appear on the slider
-        method
-            Sets the Plotly method to be called when the slider
-            value is changed. If the `skip` method is used, the API
-            slider will function as normal but will perform no API
-            calls and will not bind automatically to state updates.
-            This may be used to create a component interface and
-            attach to slider events manually via JavaScript.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            Sets the value of the slider step, used to refer to the
-            step programatically. Defaults to the slider label if
-            not provided.
-        visible
-            Determines whether or not this step is included in the
-            slider.
-
-        Returns
-        -------
-        Step
-        """
-        super(Step, self).__init__("steps")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.slider.Step 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.slider.Step`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.slider import step as v_step
-
-        # Initialize validators
-        # ---------------------
-        self._validators["args"] = v_step.ArgsValidator()
-        self._validators["execute"] = v_step.ExecuteValidator()
-        self._validators["label"] = v_step.LabelValidator()
-        self._validators["method"] = v_step.MethodValidator()
-        self._validators["name"] = v_step.NameValidator()
-        self._validators["templateitemname"] = v_step.TemplateitemnameValidator()
-        self._validators["value"] = v_step.ValueValidator()
-        self._validators["visible"] = v_step.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("args", None)
-        self["args"] = args if args is not None else _v
-        _v = arg.pop("execute", None)
-        self["execute"] = execute if execute is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("method", None)
-        self["method"] = method if method is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Pad(_BaseLayoutHierarchyType):
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        The amount of padding (in px) along the bottom of the
-        component.
-    
-        The 'b' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # l
-    # -
-    @property
-    def l(self):
-        """
-        The amount of padding (in px) on the left side of the
-        component.
-    
-        The 'l' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["l"]
-
-    @l.setter
-    def l(self, val):
-        self["l"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        The amount of padding (in px) on the right side of the
-        component.
-    
-        The 'r' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        The amount of padding (in px) along the top of the component.
-    
-        The 't' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.slider"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        b
-            The amount of padding (in px) along the bottom of the
-            component.
-        l
-            The amount of padding (in px) on the left side of the
-            component.
-        r
-            The amount of padding (in px) on the right side of the
-            component.
-        t
-            The amount of padding (in px) along the top of the
-            component.
-        """
-
-    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
-        """
-        Construct a new Pad object
-        
-        Set the padding of the slider component along each side.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.slider.Pad`
-        b
-            The amount of padding (in px) along the bottom of the
-            component.
-        l
-            The amount of padding (in px) on the left side of the
-            component.
-        r
-            The amount of padding (in px) on the right side of the
-            component.
-        t
-            The amount of padding (in px) along the top of the
-            component.
-
-        Returns
-        -------
-        Pad
-        """
-        super(Pad, self).__init__("pad")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.slider.Pad 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.slider.Pad`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.slider import pad as v_pad
-
-        # Initialize validators
-        # ---------------------
-        self._validators["b"] = v_pad.BValidator()
-        self._validators["l"] = v_pad.LValidator()
-        self._validators["r"] = v_pad.RValidator()
-        self._validators["t"] = v_pad.TValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("l", None)
-        self["l"] = l if l is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.slider"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the font of the slider step labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.slider.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.slider.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.slider.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.slider import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Currentvalue(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font of the current value label text.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.slider.currentvalue.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.slider.currentvalue.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # offset
-    # ------
-    @property
-    def offset(self):
-        """
-        The amount of space, in pixels, between the current value label
-        and the slider.
-    
-        The 'offset' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["offset"]
-
-    @offset.setter
-    def offset(self, val):
-        self["offset"] = val
-
-    # prefix
-    # ------
-    @property
-    def prefix(self):
-        """
-        When currentvalue.visible is true, this sets the prefix of the
-        label.
-    
-        The 'prefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["prefix"]
-
-    @prefix.setter
-    def prefix(self, val):
-        self["prefix"] = val
-
-    # suffix
-    # ------
-    @property
-    def suffix(self):
-        """
-        When currentvalue.visible is true, this sets the suffix of the
-        label.
-    
-        The 'suffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["suffix"]
-
-    @suffix.setter
-    def suffix(self, val):
-        self["suffix"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Shows the currently-selected value above the slider.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        The alignment of the value readout relative to the length of
-        the slider.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.slider"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets the font of the current value label text.
-        offset
-            The amount of space, in pixels, between the current
-            value label and the slider.
-        prefix
-            When currentvalue.visible is true, this sets the prefix
-            of the label.
-        suffix
-            When currentvalue.visible is true, this sets the suffix
-            of the label.
-        visible
-            Shows the currently-selected value above the slider.
-        xanchor
-            The alignment of the value readout relative to the
-            length of the slider.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        font=None,
-        offset=None,
-        prefix=None,
-        suffix=None,
-        visible=None,
-        xanchor=None,
-        **kwargs
-    ):
-        """
-        Construct a new Currentvalue object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.slider.Currentvalue`
-        font
-            Sets the font of the current value label text.
-        offset
-            The amount of space, in pixels, between the current
-            value label and the slider.
-        prefix
-            When currentvalue.visible is true, this sets the prefix
-            of the label.
-        suffix
-            When currentvalue.visible is true, this sets the suffix
-            of the label.
-        visible
-            Shows the currently-selected value above the slider.
-        xanchor
-            The alignment of the value readout relative to the
-            length of the slider.
-
-        Returns
-        -------
-        Currentvalue
-        """
-        super(Currentvalue, self).__init__("currentvalue")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.slider.Currentvalue 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.slider.Currentvalue`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.slider import currentvalue as v_currentvalue
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_currentvalue.FontValidator()
-        self._validators["offset"] = v_currentvalue.OffsetValidator()
-        self._validators["prefix"] = v_currentvalue.PrefixValidator()
-        self._validators["suffix"] = v_currentvalue.SuffixValidator()
-        self._validators["visible"] = v_currentvalue.VisibleValidator()
-        self._validators["xanchor"] = v_currentvalue.XanchorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("offset", None)
-        self["offset"] = offset if offset is not None else _v
-        _v = arg.pop("prefix", None)
-        self["prefix"] = prefix if prefix is not None else _v
-        _v = arg.pop("suffix", None)
-        self["suffix"] = suffix if suffix is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Currentvalue", "Font", "Pad", "Step", "Step", "Transition", "currentvalue"]
-
-from plotly.graph_objs.layout.slider import currentvalue
+import sys
+
+if sys.version_info < (3, 7):
+    from ._transition import Transition
+    from ._step import Step
+    from ._pad import Pad
+    from ._font import Font
+    from ._currentvalue import Currentvalue
+    from . import currentvalue
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".currentvalue"],
+        [
+            "._transition.Transition",
+            "._step.Step",
+            "._pad.Pad",
+            "._font.Font",
+            "._currentvalue.Currentvalue",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/_currentvalue.py b/packages/python/plotly/plotly/graph_objs/layout/slider/_currentvalue.py
new file mode 100644
index 00000000000..1a888ffb63a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/_currentvalue.py
@@ -0,0 +1,289 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Currentvalue(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.slider"
+    _path_str = "layout.slider.currentvalue"
+    _valid_props = {"font", "offset", "prefix", "suffix", "visible", "xanchor"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font of the current value label text.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.slider.currentvalue.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.slider.currentvalue.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # offset
+    # ------
+    @property
+    def offset(self):
+        """
+        The amount of space, in pixels, between the current value label
+        and the slider.
+    
+        The 'offset' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["offset"]
+
+    @offset.setter
+    def offset(self, val):
+        self["offset"] = val
+
+    # prefix
+    # ------
+    @property
+    def prefix(self):
+        """
+        When currentvalue.visible is true, this sets the prefix of the
+        label.
+    
+        The 'prefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["prefix"]
+
+    @prefix.setter
+    def prefix(self, val):
+        self["prefix"] = val
+
+    # suffix
+    # ------
+    @property
+    def suffix(self):
+        """
+        When currentvalue.visible is true, this sets the suffix of the
+        label.
+    
+        The 'suffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["suffix"]
+
+    @suffix.setter
+    def suffix(self, val):
+        self["suffix"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Shows the currently-selected value above the slider.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        The alignment of the value readout relative to the length of
+        the slider.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets the font of the current value label text.
+        offset
+            The amount of space, in pixels, between the current
+            value label and the slider.
+        prefix
+            When currentvalue.visible is true, this sets the prefix
+            of the label.
+        suffix
+            When currentvalue.visible is true, this sets the suffix
+            of the label.
+        visible
+            Shows the currently-selected value above the slider.
+        xanchor
+            The alignment of the value readout relative to the
+            length of the slider.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        font=None,
+        offset=None,
+        prefix=None,
+        suffix=None,
+        visible=None,
+        xanchor=None,
+        **kwargs
+    ):
+        """
+        Construct a new Currentvalue object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.slider.Currentvalue`
+        font
+            Sets the font of the current value label text.
+        offset
+            The amount of space, in pixels, between the current
+            value label and the slider.
+        prefix
+            When currentvalue.visible is true, this sets the prefix
+            of the label.
+        suffix
+            When currentvalue.visible is true, this sets the suffix
+            of the label.
+        visible
+            Shows the currently-selected value above the slider.
+        xanchor
+            The alignment of the value readout relative to the
+            length of the slider.
+
+        Returns
+        -------
+        Currentvalue
+        """
+        super(Currentvalue, self).__init__("currentvalue")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.slider.Currentvalue 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.slider.Currentvalue`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("offset", None)
+        _v = offset if offset is not None else _v
+        if _v is not None:
+            self["offset"] = _v
+        _v = arg.pop("prefix", None)
+        _v = prefix if prefix is not None else _v
+        if _v is not None:
+            self["prefix"] = _v
+        _v = arg.pop("suffix", None)
+        _v = suffix if suffix is not None else _v
+        if _v is not None:
+            self["suffix"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/_font.py b/packages/python/plotly/plotly/graph_objs/layout/slider/_font.py
new file mode 100644
index 00000000000..2c9f7c5ff4b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.slider"
+    _path_str = "layout.slider.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the font of the slider step labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.slider.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.slider.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.slider.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/_pad.py b/packages/python/plotly/plotly/graph_objs/layout/slider/_pad.py
new file mode 100644
index 00000000000..1f40294cbe7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/_pad.py
@@ -0,0 +1,195 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Pad(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.slider"
+    _path_str = "layout.slider.pad"
+    _valid_props = {"b", "l", "r", "t"}
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        The amount of padding (in px) along the bottom of the
+        component.
+    
+        The 'b' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # l
+    # -
+    @property
+    def l(self):
+        """
+        The amount of padding (in px) on the left side of the
+        component.
+    
+        The 'l' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["l"]
+
+    @l.setter
+    def l(self, val):
+        self["l"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        The amount of padding (in px) on the right side of the
+        component.
+    
+        The 'r' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        The amount of padding (in px) along the top of the component.
+    
+        The 't' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        b
+            The amount of padding (in px) along the bottom of the
+            component.
+        l
+            The amount of padding (in px) on the left side of the
+            component.
+        r
+            The amount of padding (in px) on the right side of the
+            component.
+        t
+            The amount of padding (in px) along the top of the
+            component.
+        """
+
+    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
+        """
+        Construct a new Pad object
+        
+        Set the padding of the slider component along each side.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.slider.Pad`
+        b
+            The amount of padding (in px) along the bottom of the
+            component.
+        l
+            The amount of padding (in px) on the left side of the
+            component.
+        r
+            The amount of padding (in px) on the right side of the
+            component.
+        t
+            The amount of padding (in px) along the top of the
+            component.
+
+        Returns
+        -------
+        Pad
+        """
+        super(Pad, self).__init__("pad")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.slider.Pad 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.slider.Pad`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("l", None)
+        _v = l if l is not None else _v
+        if _v is not None:
+            self["l"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/_step.py b/packages/python/plotly/plotly/graph_objs/layout/slider/_step.py
new file mode 100644
index 00000000000..d63f7f7f54f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/_step.py
@@ -0,0 +1,410 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Step(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.slider"
+    _path_str = "layout.slider.step"
+    _valid_props = {
+        "args",
+        "execute",
+        "label",
+        "method",
+        "name",
+        "templateitemname",
+        "value",
+        "visible",
+    }
+
+    # args
+    # ----
+    @property
+    def args(self):
+        """
+        Sets the arguments values to be passed to the Plotly method set
+        in `method` on slide.
+    
+        The 'args' property is an info array that may be specified as:
+    
+        * a list or tuple of up to 3 elements where:
+    (0) The 'args[0]' property accepts values of any type
+    (1) The 'args[1]' property accepts values of any type
+    (2) The 'args[2]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["args"]
+
+    @args.setter
+    def args(self, val):
+        self["args"] = val
+
+    # execute
+    # -------
+    @property
+    def execute(self):
+        """
+        When true, the API method is executed. When false, all other
+        behaviors are the same and command execution is skipped. This
+        may be useful when hooking into, for example, the
+        `plotly_sliderchange` method and executing the API command
+        manually without losing the benefit of the slider automatically
+        binding to the state of the plot through the specification of
+        `method` and `args`.
+    
+        The 'execute' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["execute"]
+
+    @execute.setter
+    def execute(self, val):
+        self["execute"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        Sets the text label to appear on the slider
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # method
+    # ------
+    @property
+    def method(self):
+        """
+        Sets the Plotly method to be called when the slider value is
+        changed. If the `skip` method is used, the API slider will
+        function as normal but will perform no API calls and will not
+        bind automatically to state updates. This may be used to create
+        a component interface and attach to slider events manually via
+        JavaScript.
+    
+        The 'method' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['restyle', 'relayout', 'animate', 'update', 'skip']
+
+        Returns
+        -------
+        Any
+        """
+        return self["method"]
+
+    @method.setter
+    def method(self, val):
+        self["method"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of the slider step, used to refer to the step
+        programatically. Defaults to the slider label if not provided.
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this step is included in the slider.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        args
+            Sets the arguments values to be passed to the Plotly
+            method set in `method` on slide.
+        execute
+            When true, the API method is executed. When false, all
+            other behaviors are the same and command execution is
+            skipped. This may be useful when hooking into, for
+            example, the `plotly_sliderchange` method and executing
+            the API command manually without losing the benefit of
+            the slider automatically binding to the state of the
+            plot through the specification of `method` and `args`.
+        label
+            Sets the text label to appear on the slider
+        method
+            Sets the Plotly method to be called when the slider
+            value is changed. If the `skip` method is used, the API
+            slider will function as normal but will perform no API
+            calls and will not bind automatically to state updates.
+            This may be used to create a component interface and
+            attach to slider events manually via JavaScript.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            Sets the value of the slider step, used to refer to the
+            step programatically. Defaults to the slider label if
+            not provided.
+        visible
+            Determines whether or not this step is included in the
+            slider.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        args=None,
+        execute=None,
+        label=None,
+        method=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Step object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.slider.Step`
+        args
+            Sets the arguments values to be passed to the Plotly
+            method set in `method` on slide.
+        execute
+            When true, the API method is executed. When false, all
+            other behaviors are the same and command execution is
+            skipped. This may be useful when hooking into, for
+            example, the `plotly_sliderchange` method and executing
+            the API command manually without losing the benefit of
+            the slider automatically binding to the state of the
+            plot through the specification of `method` and `args`.
+        label
+            Sets the text label to appear on the slider
+        method
+            Sets the Plotly method to be called when the slider
+            value is changed. If the `skip` method is used, the API
+            slider will function as normal but will perform no API
+            calls and will not bind automatically to state updates.
+            This may be used to create a component interface and
+            attach to slider events manually via JavaScript.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            Sets the value of the slider step, used to refer to the
+            step programatically. Defaults to the slider label if
+            not provided.
+        visible
+            Determines whether or not this step is included in the
+            slider.
+
+        Returns
+        -------
+        Step
+        """
+        super(Step, self).__init__("steps")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.slider.Step 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.slider.Step`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("args", None)
+        _v = args if args is not None else _v
+        if _v is not None:
+            self["args"] = _v
+        _v = arg.pop("execute", None)
+        _v = execute if execute is not None else _v
+        if _v is not None:
+            self["execute"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("method", None)
+        _v = method if method is not None else _v
+        if _v is not None:
+            self["method"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/_transition.py b/packages/python/plotly/plotly/graph_objs/layout/slider/_transition.py
new file mode 100644
index 00000000000..a735e2c6aec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/_transition.py
@@ -0,0 +1,135 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Transition(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.slider"
+    _path_str = "layout.slider.transition"
+    _valid_props = {"duration", "easing"}
+
+    # duration
+    # --------
+    @property
+    def duration(self):
+        """
+        Sets the duration of the slider transition
+    
+        The 'duration' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["duration"]
+
+    @duration.setter
+    def duration(self, val):
+        self["duration"] = val
+
+    # easing
+    # ------
+    @property
+    def easing(self):
+        """
+        Sets the easing function of the slider transition
+    
+        The 'easing' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'quad', 'cubic', 'sin', 'exp', 'circle',
+                'elastic', 'back', 'bounce', 'linear-in', 'quad-in',
+                'cubic-in', 'sin-in', 'exp-in', 'circle-in', 'elastic-in',
+                'back-in', 'bounce-in', 'linear-out', 'quad-out',
+                'cubic-out', 'sin-out', 'exp-out', 'circle-out',
+                'elastic-out', 'back-out', 'bounce-out', 'linear-in-out',
+                'quad-in-out', 'cubic-in-out', 'sin-in-out', 'exp-in-out',
+                'circle-in-out', 'elastic-in-out', 'back-in-out',
+                'bounce-in-out']
+
+        Returns
+        -------
+        Any
+        """
+        return self["easing"]
+
+    @easing.setter
+    def easing(self, val):
+        self["easing"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        duration
+            Sets the duration of the slider transition
+        easing
+            Sets the easing function of the slider transition
+        """
+
+    def __init__(self, arg=None, duration=None, easing=None, **kwargs):
+        """
+        Construct a new Transition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.slider.Transition`
+        duration
+            Sets the duration of the slider transition
+        easing
+            Sets the easing function of the slider transition
+
+        Returns
+        -------
+        Transition
+        """
+        super(Transition, self).__init__("transition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.slider.Transition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.slider.Transition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("duration", None)
+        _v = duration if duration is not None else _v
+        if _v is not None:
+            self["duration"] = _v
+        _v = arg.pop("easing", None)
+        _v = easing if easing is not None else _v
+        if _v is not None:
+            self["easing"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/__init__.py
index 285da460e04..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/__init__.py
@@ -1,229 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.slider.currentvalue"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the font of the current value label text.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.slider.
-            currentvalue.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.slider.currentvalue.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.slider.currentvalue.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.slider.currentvalue import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/_font.py b/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/_font.py
new file mode 100644
index 00000000000..8478ad70344
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/slider/currentvalue/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.slider.currentvalue"
+    _path_str = "layout.slider.currentvalue.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the font of the current value label text.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.slider.
+            currentvalue.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.slider.currentvalue.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.slider.currentvalue.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/template/__init__.py
index d79d09c5515..c5a5a83756d 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/template/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/__init__.py
@@ -1,1643 +1,12 @@
-from plotly.graph_objs import Layout
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Data(_BaseLayoutHierarchyType):
-
-    # area
-    # ----
-    @property
-    def area(self):
-        """
-        The 'area' property is a tuple of instances of
-        Area that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Area
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Area constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Area]
-        """
-        return self["area"]
-
-    @area.setter
-    def area(self, val):
-        self["area"] = val
-
-    # barpolar
-    # --------
-    @property
-    def barpolar(self):
-        """
-        The 'barpolar' property is a tuple of instances of
-        Barpolar that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Barpolar
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Barpolar constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Barpolar]
-        """
-        return self["barpolar"]
-
-    @barpolar.setter
-    def barpolar(self, val):
-        self["barpolar"] = val
-
-    # bar
-    # ---
-    @property
-    def bar(self):
-        """
-        The 'bar' property is a tuple of instances of
-        Bar that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Bar
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Bar constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Bar]
-        """
-        return self["bar"]
-
-    @bar.setter
-    def bar(self, val):
-        self["bar"] = val
-
-    # box
-    # ---
-    @property
-    def box(self):
-        """
-        The 'box' property is a tuple of instances of
-        Box that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Box
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Box constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Box]
-        """
-        return self["box"]
-
-    @box.setter
-    def box(self, val):
-        self["box"] = val
-
-    # candlestick
-    # -----------
-    @property
-    def candlestick(self):
-        """
-        The 'candlestick' property is a tuple of instances of
-        Candlestick that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Candlestick
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Candlestick constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Candlestick]
-        """
-        return self["candlestick"]
-
-    @candlestick.setter
-    def candlestick(self, val):
-        self["candlestick"] = val
-
-    # carpet
-    # ------
-    @property
-    def carpet(self):
-        """
-        The 'carpet' property is a tuple of instances of
-        Carpet that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Carpet
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Carpet constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Carpet]
-        """
-        return self["carpet"]
-
-    @carpet.setter
-    def carpet(self, val):
-        self["carpet"] = val
-
-    # choroplethmapbox
-    # ----------------
-    @property
-    def choroplethmapbox(self):
-        """
-        The 'choroplethmapbox' property is a tuple of instances of
-        Choroplethmapbox that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Choroplethmapbox
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Choroplethmapbox constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Choroplethmapbox]
-        """
-        return self["choroplethmapbox"]
-
-    @choroplethmapbox.setter
-    def choroplethmapbox(self, val):
-        self["choroplethmapbox"] = val
-
-    # choropleth
-    # ----------
-    @property
-    def choropleth(self):
-        """
-        The 'choropleth' property is a tuple of instances of
-        Choropleth that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Choropleth
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Choropleth constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Choropleth]
-        """
-        return self["choropleth"]
-
-    @choropleth.setter
-    def choropleth(self, val):
-        self["choropleth"] = val
-
-    # cone
-    # ----
-    @property
-    def cone(self):
-        """
-        The 'cone' property is a tuple of instances of
-        Cone that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Cone
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Cone constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Cone]
-        """
-        return self["cone"]
-
-    @cone.setter
-    def cone(self, val):
-        self["cone"] = val
-
-    # contourcarpet
-    # -------------
-    @property
-    def contourcarpet(self):
-        """
-        The 'contourcarpet' property is a tuple of instances of
-        Contourcarpet that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Contourcarpet
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Contourcarpet constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Contourcarpet]
-        """
-        return self["contourcarpet"]
-
-    @contourcarpet.setter
-    def contourcarpet(self, val):
-        self["contourcarpet"] = val
-
-    # contour
-    # -------
-    @property
-    def contour(self):
-        """
-        The 'contour' property is a tuple of instances of
-        Contour that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Contour
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Contour constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Contour]
-        """
-        return self["contour"]
-
-    @contour.setter
-    def contour(self, val):
-        self["contour"] = val
-
-    # densitymapbox
-    # -------------
-    @property
-    def densitymapbox(self):
-        """
-        The 'densitymapbox' property is a tuple of instances of
-        Densitymapbox that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Densitymapbox
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Densitymapbox constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Densitymapbox]
-        """
-        return self["densitymapbox"]
-
-    @densitymapbox.setter
-    def densitymapbox(self, val):
-        self["densitymapbox"] = val
-
-    # funnelarea
-    # ----------
-    @property
-    def funnelarea(self):
-        """
-        The 'funnelarea' property is a tuple of instances of
-        Funnelarea that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Funnelarea
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Funnelarea constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Funnelarea]
-        """
-        return self["funnelarea"]
-
-    @funnelarea.setter
-    def funnelarea(self, val):
-        self["funnelarea"] = val
-
-    # funnel
-    # ------
-    @property
-    def funnel(self):
-        """
-        The 'funnel' property is a tuple of instances of
-        Funnel that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Funnel
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Funnel constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Funnel]
-        """
-        return self["funnel"]
-
-    @funnel.setter
-    def funnel(self, val):
-        self["funnel"] = val
-
-    # heatmapgl
-    # ---------
-    @property
-    def heatmapgl(self):
-        """
-        The 'heatmapgl' property is a tuple of instances of
-        Heatmapgl that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Heatmapgl
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Heatmapgl constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Heatmapgl]
-        """
-        return self["heatmapgl"]
-
-    @heatmapgl.setter
-    def heatmapgl(self, val):
-        self["heatmapgl"] = val
-
-    # heatmap
-    # -------
-    @property
-    def heatmap(self):
-        """
-        The 'heatmap' property is a tuple of instances of
-        Heatmap that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Heatmap
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Heatmap constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Heatmap]
-        """
-        return self["heatmap"]
-
-    @heatmap.setter
-    def heatmap(self, val):
-        self["heatmap"] = val
-
-    # histogram2dcontour
-    # ------------------
-    @property
-    def histogram2dcontour(self):
-        """
-        The 'histogram2dcontour' property is a tuple of instances of
-        Histogram2dContour that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Histogram2dContour
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Histogram2dContour constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Histogram2dContour]
-        """
-        return self["histogram2dcontour"]
-
-    @histogram2dcontour.setter
-    def histogram2dcontour(self, val):
-        self["histogram2dcontour"] = val
-
-    # histogram2d
-    # -----------
-    @property
-    def histogram2d(self):
-        """
-        The 'histogram2d' property is a tuple of instances of
-        Histogram2d that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Histogram2d
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Histogram2d constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Histogram2d]
-        """
-        return self["histogram2d"]
-
-    @histogram2d.setter
-    def histogram2d(self, val):
-        self["histogram2d"] = val
-
-    # histogram
-    # ---------
-    @property
-    def histogram(self):
-        """
-        The 'histogram' property is a tuple of instances of
-        Histogram that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Histogram
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Histogram constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Histogram]
-        """
-        return self["histogram"]
-
-    @histogram.setter
-    def histogram(self, val):
-        self["histogram"] = val
-
-    # image
-    # -----
-    @property
-    def image(self):
-        """
-        The 'image' property is a tuple of instances of
-        Image that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Image
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Image constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Image]
-        """
-        return self["image"]
-
-    @image.setter
-    def image(self, val):
-        self["image"] = val
-
-    # indicator
-    # ---------
-    @property
-    def indicator(self):
-        """
-        The 'indicator' property is a tuple of instances of
-        Indicator that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Indicator
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Indicator constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Indicator]
-        """
-        return self["indicator"]
-
-    @indicator.setter
-    def indicator(self, val):
-        self["indicator"] = val
-
-    # isosurface
-    # ----------
-    @property
-    def isosurface(self):
-        """
-        The 'isosurface' property is a tuple of instances of
-        Isosurface that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Isosurface
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Isosurface constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Isosurface]
-        """
-        return self["isosurface"]
-
-    @isosurface.setter
-    def isosurface(self, val):
-        self["isosurface"] = val
-
-    # mesh3d
-    # ------
-    @property
-    def mesh3d(self):
-        """
-        The 'mesh3d' property is a tuple of instances of
-        Mesh3d that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Mesh3d
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Mesh3d constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Mesh3d]
-        """
-        return self["mesh3d"]
-
-    @mesh3d.setter
-    def mesh3d(self, val):
-        self["mesh3d"] = val
-
-    # ohlc
-    # ----
-    @property
-    def ohlc(self):
-        """
-        The 'ohlc' property is a tuple of instances of
-        Ohlc that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Ohlc
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Ohlc constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Ohlc]
-        """
-        return self["ohlc"]
-
-    @ohlc.setter
-    def ohlc(self, val):
-        self["ohlc"] = val
-
-    # parcats
-    # -------
-    @property
-    def parcats(self):
-        """
-        The 'parcats' property is a tuple of instances of
-        Parcats that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Parcats
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Parcats constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Parcats]
-        """
-        return self["parcats"]
-
-    @parcats.setter
-    def parcats(self, val):
-        self["parcats"] = val
-
-    # parcoords
-    # ---------
-    @property
-    def parcoords(self):
-        """
-        The 'parcoords' property is a tuple of instances of
-        Parcoords that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Parcoords
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Parcoords constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Parcoords]
-        """
-        return self["parcoords"]
-
-    @parcoords.setter
-    def parcoords(self, val):
-        self["parcoords"] = val
-
-    # pie
-    # ---
-    @property
-    def pie(self):
-        """
-        The 'pie' property is a tuple of instances of
-        Pie that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Pie
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Pie constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Pie]
-        """
-        return self["pie"]
-
-    @pie.setter
-    def pie(self, val):
-        self["pie"] = val
-
-    # pointcloud
-    # ----------
-    @property
-    def pointcloud(self):
-        """
-        The 'pointcloud' property is a tuple of instances of
-        Pointcloud that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Pointcloud
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Pointcloud constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Pointcloud]
-        """
-        return self["pointcloud"]
-
-    @pointcloud.setter
-    def pointcloud(self, val):
-        self["pointcloud"] = val
-
-    # sankey
-    # ------
-    @property
-    def sankey(self):
-        """
-        The 'sankey' property is a tuple of instances of
-        Sankey that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Sankey
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Sankey constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Sankey]
-        """
-        return self["sankey"]
-
-    @sankey.setter
-    def sankey(self, val):
-        self["sankey"] = val
-
-    # scatter3d
-    # ---------
-    @property
-    def scatter3d(self):
-        """
-        The 'scatter3d' property is a tuple of instances of
-        Scatter3d that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatter3d
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scatter3d constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scatter3d]
-        """
-        return self["scatter3d"]
-
-    @scatter3d.setter
-    def scatter3d(self, val):
-        self["scatter3d"] = val
-
-    # scattercarpet
-    # -------------
-    @property
-    def scattercarpet(self):
-        """
-        The 'scattercarpet' property is a tuple of instances of
-        Scattercarpet that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattercarpet
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scattercarpet constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scattercarpet]
-        """
-        return self["scattercarpet"]
-
-    @scattercarpet.setter
-    def scattercarpet(self, val):
-        self["scattercarpet"] = val
-
-    # scattergeo
-    # ----------
-    @property
-    def scattergeo(self):
-        """
-        The 'scattergeo' property is a tuple of instances of
-        Scattergeo that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattergeo
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scattergeo constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scattergeo]
-        """
-        return self["scattergeo"]
-
-    @scattergeo.setter
-    def scattergeo(self, val):
-        self["scattergeo"] = val
-
-    # scattergl
-    # ---------
-    @property
-    def scattergl(self):
-        """
-        The 'scattergl' property is a tuple of instances of
-        Scattergl that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattergl
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scattergl constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scattergl]
-        """
-        return self["scattergl"]
-
-    @scattergl.setter
-    def scattergl(self, val):
-        self["scattergl"] = val
-
-    # scattermapbox
-    # -------------
-    @property
-    def scattermapbox(self):
-        """
-        The 'scattermapbox' property is a tuple of instances of
-        Scattermapbox that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattermapbox
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scattermapbox constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scattermapbox]
-        """
-        return self["scattermapbox"]
-
-    @scattermapbox.setter
-    def scattermapbox(self, val):
-        self["scattermapbox"] = val
-
-    # scatterpolargl
-    # --------------
-    @property
-    def scatterpolargl(self):
-        """
-        The 'scatterpolargl' property is a tuple of instances of
-        Scatterpolargl that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatterpolargl
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scatterpolargl constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scatterpolargl]
-        """
-        return self["scatterpolargl"]
-
-    @scatterpolargl.setter
-    def scatterpolargl(self, val):
-        self["scatterpolargl"] = val
-
-    # scatterpolar
-    # ------------
-    @property
-    def scatterpolar(self):
-        """
-        The 'scatterpolar' property is a tuple of instances of
-        Scatterpolar that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatterpolar
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scatterpolar constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scatterpolar]
-        """
-        return self["scatterpolar"]
-
-    @scatterpolar.setter
-    def scatterpolar(self, val):
-        self["scatterpolar"] = val
-
-    # scatter
-    # -------
-    @property
-    def scatter(self):
-        """
-        The 'scatter' property is a tuple of instances of
-        Scatter that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatter
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scatter constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scatter]
-        """
-        return self["scatter"]
-
-    @scatter.setter
-    def scatter(self, val):
-        self["scatter"] = val
-
-    # scatterternary
-    # --------------
-    @property
-    def scatterternary(self):
-        """
-        The 'scatterternary' property is a tuple of instances of
-        Scatterternary that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatterternary
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Scatterternary constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Scatterternary]
-        """
-        return self["scatterternary"]
-
-    @scatterternary.setter
-    def scatterternary(self, val):
-        self["scatterternary"] = val
-
-    # splom
-    # -----
-    @property
-    def splom(self):
-        """
-        The 'splom' property is a tuple of instances of
-        Splom that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Splom
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Splom constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Splom]
-        """
-        return self["splom"]
-
-    @splom.setter
-    def splom(self, val):
-        self["splom"] = val
-
-    # streamtube
-    # ----------
-    @property
-    def streamtube(self):
-        """
-        The 'streamtube' property is a tuple of instances of
-        Streamtube that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Streamtube
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Streamtube constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Streamtube]
-        """
-        return self["streamtube"]
-
-    @streamtube.setter
-    def streamtube(self, val):
-        self["streamtube"] = val
-
-    # sunburst
-    # --------
-    @property
-    def sunburst(self):
-        """
-        The 'sunburst' property is a tuple of instances of
-        Sunburst that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Sunburst
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Sunburst constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Sunburst]
-        """
-        return self["sunburst"]
-
-    @sunburst.setter
-    def sunburst(self, val):
-        self["sunburst"] = val
-
-    # surface
-    # -------
-    @property
-    def surface(self):
-        """
-        The 'surface' property is a tuple of instances of
-        Surface that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Surface
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Surface constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Surface]
-        """
-        return self["surface"]
-
-    @surface.setter
-    def surface(self, val):
-        self["surface"] = val
-
-    # table
-    # -----
-    @property
-    def table(self):
-        """
-        The 'table' property is a tuple of instances of
-        Table that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Table
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Table constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Table]
-        """
-        return self["table"]
-
-    @table.setter
-    def table(self, val):
-        self["table"] = val
-
-    # treemap
-    # -------
-    @property
-    def treemap(self):
-        """
-        The 'treemap' property is a tuple of instances of
-        Treemap that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Treemap
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Treemap constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Treemap]
-        """
-        return self["treemap"]
-
-    @treemap.setter
-    def treemap(self, val):
-        self["treemap"] = val
-
-    # violin
-    # ------
-    @property
-    def violin(self):
-        """
-        The 'violin' property is a tuple of instances of
-        Violin that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Violin
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Violin constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Violin]
-        """
-        return self["violin"]
-
-    @violin.setter
-    def violin(self, val):
-        self["violin"] = val
-
-    # volume
-    # ------
-    @property
-    def volume(self):
-        """
-        The 'volume' property is a tuple of instances of
-        Volume that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Volume
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Volume constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Volume]
-        """
-        return self["volume"]
-
-    @volume.setter
-    def volume(self, val):
-        self["volume"] = val
-
-    # waterfall
-    # ---------
-    @property
-    def waterfall(self):
-        """
-        The 'waterfall' property is a tuple of instances of
-        Waterfall that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Waterfall
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Waterfall constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.template.data.Waterfall]
-        """
-        return self["waterfall"]
-
-    @waterfall.setter
-    def waterfall(self, val):
-        self["waterfall"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.template"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        area
-            A tuple of :class:`plotly.graph_objects.Area` instances
-            or dicts with compatible properties
-        barpolar
-            A tuple of :class:`plotly.graph_objects.Barpolar`
-            instances or dicts with compatible properties
-        bar
-            A tuple of :class:`plotly.graph_objects.Bar` instances
-            or dicts with compatible properties
-        box
-            A tuple of :class:`plotly.graph_objects.Box` instances
-            or dicts with compatible properties
-        candlestick
-            A tuple of :class:`plotly.graph_objects.Candlestick`
-            instances or dicts with compatible properties
-        carpet
-            A tuple of :class:`plotly.graph_objects.Carpet`
-            instances or dicts with compatible properties
-        choroplethmapbox
-            A tuple of
-            :class:`plotly.graph_objects.Choroplethmapbox`
-            instances or dicts with compatible properties
-        choropleth
-            A tuple of :class:`plotly.graph_objects.Choropleth`
-            instances or dicts with compatible properties
-        cone
-            A tuple of :class:`plotly.graph_objects.Cone` instances
-            or dicts with compatible properties
-        contourcarpet
-            A tuple of :class:`plotly.graph_objects.Contourcarpet`
-            instances or dicts with compatible properties
-        contour
-            A tuple of :class:`plotly.graph_objects.Contour`
-            instances or dicts with compatible properties
-        densitymapbox
-            A tuple of :class:`plotly.graph_objects.Densitymapbox`
-            instances or dicts with compatible properties
-        funnelarea
-            A tuple of :class:`plotly.graph_objects.Funnelarea`
-            instances or dicts with compatible properties
-        funnel
-            A tuple of :class:`plotly.graph_objects.Funnel`
-            instances or dicts with compatible properties
-        heatmapgl
-            A tuple of :class:`plotly.graph_objects.Heatmapgl`
-            instances or dicts with compatible properties
-        heatmap
-            A tuple of :class:`plotly.graph_objects.Heatmap`
-            instances or dicts with compatible properties
-        histogram2dcontour
-            A tuple of
-            :class:`plotly.graph_objects.Histogram2dContour`
-            instances or dicts with compatible properties
-        histogram2d
-            A tuple of :class:`plotly.graph_objects.Histogram2d`
-            instances or dicts with compatible properties
-        histogram
-            A tuple of :class:`plotly.graph_objects.Histogram`
-            instances or dicts with compatible properties
-        image
-            A tuple of :class:`plotly.graph_objects.Image`
-            instances or dicts with compatible properties
-        indicator
-            A tuple of :class:`plotly.graph_objects.Indicator`
-            instances or dicts with compatible properties
-        isosurface
-            A tuple of :class:`plotly.graph_objects.Isosurface`
-            instances or dicts with compatible properties
-        mesh3d
-            A tuple of :class:`plotly.graph_objects.Mesh3d`
-            instances or dicts with compatible properties
-        ohlc
-            A tuple of :class:`plotly.graph_objects.Ohlc` instances
-            or dicts with compatible properties
-        parcats
-            A tuple of :class:`plotly.graph_objects.Parcats`
-            instances or dicts with compatible properties
-        parcoords
-            A tuple of :class:`plotly.graph_objects.Parcoords`
-            instances or dicts with compatible properties
-        pie
-            A tuple of :class:`plotly.graph_objects.Pie` instances
-            or dicts with compatible properties
-        pointcloud
-            A tuple of :class:`plotly.graph_objects.Pointcloud`
-            instances or dicts with compatible properties
-        sankey
-            A tuple of :class:`plotly.graph_objects.Sankey`
-            instances or dicts with compatible properties
-        scatter3d
-            A tuple of :class:`plotly.graph_objects.Scatter3d`
-            instances or dicts with compatible properties
-        scattercarpet
-            A tuple of :class:`plotly.graph_objects.Scattercarpet`
-            instances or dicts with compatible properties
-        scattergeo
-            A tuple of :class:`plotly.graph_objects.Scattergeo`
-            instances or dicts with compatible properties
-        scattergl
-            A tuple of :class:`plotly.graph_objects.Scattergl`
-            instances or dicts with compatible properties
-        scattermapbox
-            A tuple of :class:`plotly.graph_objects.Scattermapbox`
-            instances or dicts with compatible properties
-        scatterpolargl
-            A tuple of :class:`plotly.graph_objects.Scatterpolargl`
-            instances or dicts with compatible properties
-        scatterpolar
-            A tuple of :class:`plotly.graph_objects.Scatterpolar`
-            instances or dicts with compatible properties
-        scatter
-            A tuple of :class:`plotly.graph_objects.Scatter`
-            instances or dicts with compatible properties
-        scatterternary
-            A tuple of :class:`plotly.graph_objects.Scatterternary`
-            instances or dicts with compatible properties
-        splom
-            A tuple of :class:`plotly.graph_objects.Splom`
-            instances or dicts with compatible properties
-        streamtube
-            A tuple of :class:`plotly.graph_objects.Streamtube`
-            instances or dicts with compatible properties
-        sunburst
-            A tuple of :class:`plotly.graph_objects.Sunburst`
-            instances or dicts with compatible properties
-        surface
-            A tuple of :class:`plotly.graph_objects.Surface`
-            instances or dicts with compatible properties
-        table
-            A tuple of :class:`plotly.graph_objects.Table`
-            instances or dicts with compatible properties
-        treemap
-            A tuple of :class:`plotly.graph_objects.Treemap`
-            instances or dicts with compatible properties
-        violin
-            A tuple of :class:`plotly.graph_objects.Violin`
-            instances or dicts with compatible properties
-        volume
-            A tuple of :class:`plotly.graph_objects.Volume`
-            instances or dicts with compatible properties
-        waterfall
-            A tuple of :class:`plotly.graph_objects.Waterfall`
-            instances or dicts with compatible properties
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        area=None,
-        barpolar=None,
-        bar=None,
-        box=None,
-        candlestick=None,
-        carpet=None,
-        choroplethmapbox=None,
-        choropleth=None,
-        cone=None,
-        contourcarpet=None,
-        contour=None,
-        densitymapbox=None,
-        funnelarea=None,
-        funnel=None,
-        heatmapgl=None,
-        heatmap=None,
-        histogram2dcontour=None,
-        histogram2d=None,
-        histogram=None,
-        image=None,
-        indicator=None,
-        isosurface=None,
-        mesh3d=None,
-        ohlc=None,
-        parcats=None,
-        parcoords=None,
-        pie=None,
-        pointcloud=None,
-        sankey=None,
-        scatter3d=None,
-        scattercarpet=None,
-        scattergeo=None,
-        scattergl=None,
-        scattermapbox=None,
-        scatterpolargl=None,
-        scatterpolar=None,
-        scatter=None,
-        scatterternary=None,
-        splom=None,
-        streamtube=None,
-        sunburst=None,
-        surface=None,
-        table=None,
-        treemap=None,
-        violin=None,
-        volume=None,
-        waterfall=None,
-        **kwargs
-    ):
-        """
-        Construct a new Data object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.template.Data`
-        area
-            A tuple of :class:`plotly.graph_objects.Area` instances
-            or dicts with compatible properties
-        barpolar
-            A tuple of :class:`plotly.graph_objects.Barpolar`
-            instances or dicts with compatible properties
-        bar
-            A tuple of :class:`plotly.graph_objects.Bar` instances
-            or dicts with compatible properties
-        box
-            A tuple of :class:`plotly.graph_objects.Box` instances
-            or dicts with compatible properties
-        candlestick
-            A tuple of :class:`plotly.graph_objects.Candlestick`
-            instances or dicts with compatible properties
-        carpet
-            A tuple of :class:`plotly.graph_objects.Carpet`
-            instances or dicts with compatible properties
-        choroplethmapbox
-            A tuple of
-            :class:`plotly.graph_objects.Choroplethmapbox`
-            instances or dicts with compatible properties
-        choropleth
-            A tuple of :class:`plotly.graph_objects.Choropleth`
-            instances or dicts with compatible properties
-        cone
-            A tuple of :class:`plotly.graph_objects.Cone` instances
-            or dicts with compatible properties
-        contourcarpet
-            A tuple of :class:`plotly.graph_objects.Contourcarpet`
-            instances or dicts with compatible properties
-        contour
-            A tuple of :class:`plotly.graph_objects.Contour`
-            instances or dicts with compatible properties
-        densitymapbox
-            A tuple of :class:`plotly.graph_objects.Densitymapbox`
-            instances or dicts with compatible properties
-        funnelarea
-            A tuple of :class:`plotly.graph_objects.Funnelarea`
-            instances or dicts with compatible properties
-        funnel
-            A tuple of :class:`plotly.graph_objects.Funnel`
-            instances or dicts with compatible properties
-        heatmapgl
-            A tuple of :class:`plotly.graph_objects.Heatmapgl`
-            instances or dicts with compatible properties
-        heatmap
-            A tuple of :class:`plotly.graph_objects.Heatmap`
-            instances or dicts with compatible properties
-        histogram2dcontour
-            A tuple of
-            :class:`plotly.graph_objects.Histogram2dContour`
-            instances or dicts with compatible properties
-        histogram2d
-            A tuple of :class:`plotly.graph_objects.Histogram2d`
-            instances or dicts with compatible properties
-        histogram
-            A tuple of :class:`plotly.graph_objects.Histogram`
-            instances or dicts with compatible properties
-        image
-            A tuple of :class:`plotly.graph_objects.Image`
-            instances or dicts with compatible properties
-        indicator
-            A tuple of :class:`plotly.graph_objects.Indicator`
-            instances or dicts with compatible properties
-        isosurface
-            A tuple of :class:`plotly.graph_objects.Isosurface`
-            instances or dicts with compatible properties
-        mesh3d
-            A tuple of :class:`plotly.graph_objects.Mesh3d`
-            instances or dicts with compatible properties
-        ohlc
-            A tuple of :class:`plotly.graph_objects.Ohlc` instances
-            or dicts with compatible properties
-        parcats
-            A tuple of :class:`plotly.graph_objects.Parcats`
-            instances or dicts with compatible properties
-        parcoords
-            A tuple of :class:`plotly.graph_objects.Parcoords`
-            instances or dicts with compatible properties
-        pie
-            A tuple of :class:`plotly.graph_objects.Pie` instances
-            or dicts with compatible properties
-        pointcloud
-            A tuple of :class:`plotly.graph_objects.Pointcloud`
-            instances or dicts with compatible properties
-        sankey
-            A tuple of :class:`plotly.graph_objects.Sankey`
-            instances or dicts with compatible properties
-        scatter3d
-            A tuple of :class:`plotly.graph_objects.Scatter3d`
-            instances or dicts with compatible properties
-        scattercarpet
-            A tuple of :class:`plotly.graph_objects.Scattercarpet`
-            instances or dicts with compatible properties
-        scattergeo
-            A tuple of :class:`plotly.graph_objects.Scattergeo`
-            instances or dicts with compatible properties
-        scattergl
-            A tuple of :class:`plotly.graph_objects.Scattergl`
-            instances or dicts with compatible properties
-        scattermapbox
-            A tuple of :class:`plotly.graph_objects.Scattermapbox`
-            instances or dicts with compatible properties
-        scatterpolargl
-            A tuple of :class:`plotly.graph_objects.Scatterpolargl`
-            instances or dicts with compatible properties
-        scatterpolar
-            A tuple of :class:`plotly.graph_objects.Scatterpolar`
-            instances or dicts with compatible properties
-        scatter
-            A tuple of :class:`plotly.graph_objects.Scatter`
-            instances or dicts with compatible properties
-        scatterternary
-            A tuple of :class:`plotly.graph_objects.Scatterternary`
-            instances or dicts with compatible properties
-        splom
-            A tuple of :class:`plotly.graph_objects.Splom`
-            instances or dicts with compatible properties
-        streamtube
-            A tuple of :class:`plotly.graph_objects.Streamtube`
-            instances or dicts with compatible properties
-        sunburst
-            A tuple of :class:`plotly.graph_objects.Sunburst`
-            instances or dicts with compatible properties
-        surface
-            A tuple of :class:`plotly.graph_objects.Surface`
-            instances or dicts with compatible properties
-        table
-            A tuple of :class:`plotly.graph_objects.Table`
-            instances or dicts with compatible properties
-        treemap
-            A tuple of :class:`plotly.graph_objects.Treemap`
-            instances or dicts with compatible properties
-        violin
-            A tuple of :class:`plotly.graph_objects.Violin`
-            instances or dicts with compatible properties
-        volume
-            A tuple of :class:`plotly.graph_objects.Volume`
-            instances or dicts with compatible properties
-        waterfall
-            A tuple of :class:`plotly.graph_objects.Waterfall`
-            instances or dicts with compatible properties
-
-        Returns
-        -------
-        Data
-        """
-        super(Data, self).__init__("data")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.template.Data 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.template.Data`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.template import data as v_data
-
-        # Initialize validators
-        # ---------------------
-        self._validators["area"] = v_data.AreasValidator()
-        self._validators["barpolar"] = v_data.BarpolarsValidator()
-        self._validators["bar"] = v_data.BarsValidator()
-        self._validators["box"] = v_data.BoxsValidator()
-        self._validators["candlestick"] = v_data.CandlesticksValidator()
-        self._validators["carpet"] = v_data.CarpetsValidator()
-        self._validators["choroplethmapbox"] = v_data.ChoroplethmapboxsValidator()
-        self._validators["choropleth"] = v_data.ChoroplethsValidator()
-        self._validators["cone"] = v_data.ConesValidator()
-        self._validators["contourcarpet"] = v_data.ContourcarpetsValidator()
-        self._validators["contour"] = v_data.ContoursValidator()
-        self._validators["densitymapbox"] = v_data.DensitymapboxsValidator()
-        self._validators["funnelarea"] = v_data.FunnelareasValidator()
-        self._validators["funnel"] = v_data.FunnelsValidator()
-        self._validators["heatmapgl"] = v_data.HeatmapglsValidator()
-        self._validators["heatmap"] = v_data.HeatmapsValidator()
-        self._validators["histogram2dcontour"] = v_data.Histogram2dContoursValidator()
-        self._validators["histogram2d"] = v_data.Histogram2dsValidator()
-        self._validators["histogram"] = v_data.HistogramsValidator()
-        self._validators["image"] = v_data.ImagesValidator()
-        self._validators["indicator"] = v_data.IndicatorsValidator()
-        self._validators["isosurface"] = v_data.IsosurfacesValidator()
-        self._validators["mesh3d"] = v_data.Mesh3dsValidator()
-        self._validators["ohlc"] = v_data.OhlcsValidator()
-        self._validators["parcats"] = v_data.ParcatssValidator()
-        self._validators["parcoords"] = v_data.ParcoordssValidator()
-        self._validators["pie"] = v_data.PiesValidator()
-        self._validators["pointcloud"] = v_data.PointcloudsValidator()
-        self._validators["sankey"] = v_data.SankeysValidator()
-        self._validators["scatter3d"] = v_data.Scatter3dsValidator()
-        self._validators["scattercarpet"] = v_data.ScattercarpetsValidator()
-        self._validators["scattergeo"] = v_data.ScattergeosValidator()
-        self._validators["scattergl"] = v_data.ScatterglsValidator()
-        self._validators["scattermapbox"] = v_data.ScattermapboxsValidator()
-        self._validators["scatterpolargl"] = v_data.ScatterpolarglsValidator()
-        self._validators["scatterpolar"] = v_data.ScatterpolarsValidator()
-        self._validators["scatter"] = v_data.ScattersValidator()
-        self._validators["scatterternary"] = v_data.ScatterternarysValidator()
-        self._validators["splom"] = v_data.SplomsValidator()
-        self._validators["streamtube"] = v_data.StreamtubesValidator()
-        self._validators["sunburst"] = v_data.SunburstsValidator()
-        self._validators["surface"] = v_data.SurfacesValidator()
-        self._validators["table"] = v_data.TablesValidator()
-        self._validators["treemap"] = v_data.TreemapsValidator()
-        self._validators["violin"] = v_data.ViolinsValidator()
-        self._validators["volume"] = v_data.VolumesValidator()
-        self._validators["waterfall"] = v_data.WaterfallsValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("area", None)
-        self["area"] = area if area is not None else _v
-        _v = arg.pop("barpolar", None)
-        self["barpolar"] = barpolar if barpolar is not None else _v
-        _v = arg.pop("bar", None)
-        self["bar"] = bar if bar is not None else _v
-        _v = arg.pop("box", None)
-        self["box"] = box if box is not None else _v
-        _v = arg.pop("candlestick", None)
-        self["candlestick"] = candlestick if candlestick is not None else _v
-        _v = arg.pop("carpet", None)
-        self["carpet"] = carpet if carpet is not None else _v
-        _v = arg.pop("choroplethmapbox", None)
-        self["choroplethmapbox"] = (
-            choroplethmapbox if choroplethmapbox is not None else _v
-        )
-        _v = arg.pop("choropleth", None)
-        self["choropleth"] = choropleth if choropleth is not None else _v
-        _v = arg.pop("cone", None)
-        self["cone"] = cone if cone is not None else _v
-        _v = arg.pop("contourcarpet", None)
-        self["contourcarpet"] = contourcarpet if contourcarpet is not None else _v
-        _v = arg.pop("contour", None)
-        self["contour"] = contour if contour is not None else _v
-        _v = arg.pop("densitymapbox", None)
-        self["densitymapbox"] = densitymapbox if densitymapbox is not None else _v
-        _v = arg.pop("funnelarea", None)
-        self["funnelarea"] = funnelarea if funnelarea is not None else _v
-        _v = arg.pop("funnel", None)
-        self["funnel"] = funnel if funnel is not None else _v
-        _v = arg.pop("heatmapgl", None)
-        self["heatmapgl"] = heatmapgl if heatmapgl is not None else _v
-        _v = arg.pop("heatmap", None)
-        self["heatmap"] = heatmap if heatmap is not None else _v
-        _v = arg.pop("histogram2dcontour", None)
-        self["histogram2dcontour"] = (
-            histogram2dcontour if histogram2dcontour is not None else _v
-        )
-        _v = arg.pop("histogram2d", None)
-        self["histogram2d"] = histogram2d if histogram2d is not None else _v
-        _v = arg.pop("histogram", None)
-        self["histogram"] = histogram if histogram is not None else _v
-        _v = arg.pop("image", None)
-        self["image"] = image if image is not None else _v
-        _v = arg.pop("indicator", None)
-        self["indicator"] = indicator if indicator is not None else _v
-        _v = arg.pop("isosurface", None)
-        self["isosurface"] = isosurface if isosurface is not None else _v
-        _v = arg.pop("mesh3d", None)
-        self["mesh3d"] = mesh3d if mesh3d is not None else _v
-        _v = arg.pop("ohlc", None)
-        self["ohlc"] = ohlc if ohlc is not None else _v
-        _v = arg.pop("parcats", None)
-        self["parcats"] = parcats if parcats is not None else _v
-        _v = arg.pop("parcoords", None)
-        self["parcoords"] = parcoords if parcoords is not None else _v
-        _v = arg.pop("pie", None)
-        self["pie"] = pie if pie is not None else _v
-        _v = arg.pop("pointcloud", None)
-        self["pointcloud"] = pointcloud if pointcloud is not None else _v
-        _v = arg.pop("sankey", None)
-        self["sankey"] = sankey if sankey is not None else _v
-        _v = arg.pop("scatter3d", None)
-        self["scatter3d"] = scatter3d if scatter3d is not None else _v
-        _v = arg.pop("scattercarpet", None)
-        self["scattercarpet"] = scattercarpet if scattercarpet is not None else _v
-        _v = arg.pop("scattergeo", None)
-        self["scattergeo"] = scattergeo if scattergeo is not None else _v
-        _v = arg.pop("scattergl", None)
-        self["scattergl"] = scattergl if scattergl is not None else _v
-        _v = arg.pop("scattermapbox", None)
-        self["scattermapbox"] = scattermapbox if scattermapbox is not None else _v
-        _v = arg.pop("scatterpolargl", None)
-        self["scatterpolargl"] = scatterpolargl if scatterpolargl is not None else _v
-        _v = arg.pop("scatterpolar", None)
-        self["scatterpolar"] = scatterpolar if scatterpolar is not None else _v
-        _v = arg.pop("scatter", None)
-        self["scatter"] = scatter if scatter is not None else _v
-        _v = arg.pop("scatterternary", None)
-        self["scatterternary"] = scatterternary if scatterternary is not None else _v
-        _v = arg.pop("splom", None)
-        self["splom"] = splom if splom is not None else _v
-        _v = arg.pop("streamtube", None)
-        self["streamtube"] = streamtube if streamtube is not None else _v
-        _v = arg.pop("sunburst", None)
-        self["sunburst"] = sunburst if sunburst is not None else _v
-        _v = arg.pop("surface", None)
-        self["surface"] = surface if surface is not None else _v
-        _v = arg.pop("table", None)
-        self["table"] = table if table is not None else _v
-        _v = arg.pop("treemap", None)
-        self["treemap"] = treemap if treemap is not None else _v
-        _v = arg.pop("violin", None)
-        self["violin"] = violin if violin is not None else _v
-        _v = arg.pop("volume", None)
-        self["volume"] = volume if volume is not None else _v
-        _v = arg.pop("waterfall", None)
-        self["waterfall"] = waterfall if waterfall is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Data", "Layout", "data"]
-
-from plotly.graph_objs.layout.template import data
+import sys
+
+if sys.version_info < (3, 7):
+    from ._layout import Layout
+    from ._data import Data
+    from . import data
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".data"], ["._layout.Layout", "._data.Data"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/_data.py b/packages/python/plotly/plotly/graph_objs/layout/template/_data.py
new file mode 100644
index 00000000000..2d096f99f1b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/_data.py
@@ -0,0 +1,1724 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Data(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.template"
+    _path_str = "layout.template.data"
+    _valid_props = {
+        "area",
+        "bar",
+        "barpolar",
+        "box",
+        "candlestick",
+        "carpet",
+        "choropleth",
+        "choroplethmapbox",
+        "cone",
+        "contour",
+        "contourcarpet",
+        "densitymapbox",
+        "funnel",
+        "funnelarea",
+        "heatmap",
+        "heatmapgl",
+        "histogram",
+        "histogram2d",
+        "histogram2dcontour",
+        "image",
+        "indicator",
+        "isosurface",
+        "mesh3d",
+        "ohlc",
+        "parcats",
+        "parcoords",
+        "pie",
+        "pointcloud",
+        "sankey",
+        "scatter",
+        "scatter3d",
+        "scattercarpet",
+        "scattergeo",
+        "scattergl",
+        "scattermapbox",
+        "scatterpolar",
+        "scatterpolargl",
+        "scatterternary",
+        "splom",
+        "streamtube",
+        "sunburst",
+        "surface",
+        "table",
+        "treemap",
+        "violin",
+        "volume",
+        "waterfall",
+    }
+
+    # area
+    # ----
+    @property
+    def area(self):
+        """
+        The 'area' property is a tuple of instances of
+        Area that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Area
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Area constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Area]
+        """
+        return self["area"]
+
+    @area.setter
+    def area(self, val):
+        self["area"] = val
+
+    # barpolar
+    # --------
+    @property
+    def barpolar(self):
+        """
+        The 'barpolar' property is a tuple of instances of
+        Barpolar that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Barpolar
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Barpolar constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Barpolar]
+        """
+        return self["barpolar"]
+
+    @barpolar.setter
+    def barpolar(self, val):
+        self["barpolar"] = val
+
+    # bar
+    # ---
+    @property
+    def bar(self):
+        """
+        The 'bar' property is a tuple of instances of
+        Bar that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Bar
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Bar constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Bar]
+        """
+        return self["bar"]
+
+    @bar.setter
+    def bar(self, val):
+        self["bar"] = val
+
+    # box
+    # ---
+    @property
+    def box(self):
+        """
+        The 'box' property is a tuple of instances of
+        Box that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Box
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Box constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Box]
+        """
+        return self["box"]
+
+    @box.setter
+    def box(self, val):
+        self["box"] = val
+
+    # candlestick
+    # -----------
+    @property
+    def candlestick(self):
+        """
+        The 'candlestick' property is a tuple of instances of
+        Candlestick that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Candlestick
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Candlestick constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Candlestick]
+        """
+        return self["candlestick"]
+
+    @candlestick.setter
+    def candlestick(self, val):
+        self["candlestick"] = val
+
+    # carpet
+    # ------
+    @property
+    def carpet(self):
+        """
+        The 'carpet' property is a tuple of instances of
+        Carpet that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Carpet
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Carpet constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Carpet]
+        """
+        return self["carpet"]
+
+    @carpet.setter
+    def carpet(self, val):
+        self["carpet"] = val
+
+    # choroplethmapbox
+    # ----------------
+    @property
+    def choroplethmapbox(self):
+        """
+        The 'choroplethmapbox' property is a tuple of instances of
+        Choroplethmapbox that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Choroplethmapbox
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Choroplethmapbox constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Choroplethmapbox]
+        """
+        return self["choroplethmapbox"]
+
+    @choroplethmapbox.setter
+    def choroplethmapbox(self, val):
+        self["choroplethmapbox"] = val
+
+    # choropleth
+    # ----------
+    @property
+    def choropleth(self):
+        """
+        The 'choropleth' property is a tuple of instances of
+        Choropleth that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Choropleth
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Choropleth constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Choropleth]
+        """
+        return self["choropleth"]
+
+    @choropleth.setter
+    def choropleth(self, val):
+        self["choropleth"] = val
+
+    # cone
+    # ----
+    @property
+    def cone(self):
+        """
+        The 'cone' property is a tuple of instances of
+        Cone that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Cone
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Cone constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Cone]
+        """
+        return self["cone"]
+
+    @cone.setter
+    def cone(self, val):
+        self["cone"] = val
+
+    # contourcarpet
+    # -------------
+    @property
+    def contourcarpet(self):
+        """
+        The 'contourcarpet' property is a tuple of instances of
+        Contourcarpet that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Contourcarpet
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Contourcarpet constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Contourcarpet]
+        """
+        return self["contourcarpet"]
+
+    @contourcarpet.setter
+    def contourcarpet(self, val):
+        self["contourcarpet"] = val
+
+    # contour
+    # -------
+    @property
+    def contour(self):
+        """
+        The 'contour' property is a tuple of instances of
+        Contour that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Contour
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Contour constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Contour]
+        """
+        return self["contour"]
+
+    @contour.setter
+    def contour(self, val):
+        self["contour"] = val
+
+    # densitymapbox
+    # -------------
+    @property
+    def densitymapbox(self):
+        """
+        The 'densitymapbox' property is a tuple of instances of
+        Densitymapbox that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Densitymapbox
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Densitymapbox constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Densitymapbox]
+        """
+        return self["densitymapbox"]
+
+    @densitymapbox.setter
+    def densitymapbox(self, val):
+        self["densitymapbox"] = val
+
+    # funnelarea
+    # ----------
+    @property
+    def funnelarea(self):
+        """
+        The 'funnelarea' property is a tuple of instances of
+        Funnelarea that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Funnelarea
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Funnelarea constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Funnelarea]
+        """
+        return self["funnelarea"]
+
+    @funnelarea.setter
+    def funnelarea(self, val):
+        self["funnelarea"] = val
+
+    # funnel
+    # ------
+    @property
+    def funnel(self):
+        """
+        The 'funnel' property is a tuple of instances of
+        Funnel that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Funnel
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Funnel constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Funnel]
+        """
+        return self["funnel"]
+
+    @funnel.setter
+    def funnel(self, val):
+        self["funnel"] = val
+
+    # heatmapgl
+    # ---------
+    @property
+    def heatmapgl(self):
+        """
+        The 'heatmapgl' property is a tuple of instances of
+        Heatmapgl that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Heatmapgl
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Heatmapgl constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Heatmapgl]
+        """
+        return self["heatmapgl"]
+
+    @heatmapgl.setter
+    def heatmapgl(self, val):
+        self["heatmapgl"] = val
+
+    # heatmap
+    # -------
+    @property
+    def heatmap(self):
+        """
+        The 'heatmap' property is a tuple of instances of
+        Heatmap that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Heatmap
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Heatmap constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Heatmap]
+        """
+        return self["heatmap"]
+
+    @heatmap.setter
+    def heatmap(self, val):
+        self["heatmap"] = val
+
+    # histogram2dcontour
+    # ------------------
+    @property
+    def histogram2dcontour(self):
+        """
+        The 'histogram2dcontour' property is a tuple of instances of
+        Histogram2dContour that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Histogram2dContour
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Histogram2dContour constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Histogram2dContour]
+        """
+        return self["histogram2dcontour"]
+
+    @histogram2dcontour.setter
+    def histogram2dcontour(self, val):
+        self["histogram2dcontour"] = val
+
+    # histogram2d
+    # -----------
+    @property
+    def histogram2d(self):
+        """
+        The 'histogram2d' property is a tuple of instances of
+        Histogram2d that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Histogram2d
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Histogram2d constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Histogram2d]
+        """
+        return self["histogram2d"]
+
+    @histogram2d.setter
+    def histogram2d(self, val):
+        self["histogram2d"] = val
+
+    # histogram
+    # ---------
+    @property
+    def histogram(self):
+        """
+        The 'histogram' property is a tuple of instances of
+        Histogram that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Histogram
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Histogram constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Histogram]
+        """
+        return self["histogram"]
+
+    @histogram.setter
+    def histogram(self, val):
+        self["histogram"] = val
+
+    # image
+    # -----
+    @property
+    def image(self):
+        """
+        The 'image' property is a tuple of instances of
+        Image that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Image
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Image constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Image]
+        """
+        return self["image"]
+
+    @image.setter
+    def image(self, val):
+        self["image"] = val
+
+    # indicator
+    # ---------
+    @property
+    def indicator(self):
+        """
+        The 'indicator' property is a tuple of instances of
+        Indicator that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Indicator
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Indicator constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Indicator]
+        """
+        return self["indicator"]
+
+    @indicator.setter
+    def indicator(self, val):
+        self["indicator"] = val
+
+    # isosurface
+    # ----------
+    @property
+    def isosurface(self):
+        """
+        The 'isosurface' property is a tuple of instances of
+        Isosurface that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Isosurface
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Isosurface constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Isosurface]
+        """
+        return self["isosurface"]
+
+    @isosurface.setter
+    def isosurface(self, val):
+        self["isosurface"] = val
+
+    # mesh3d
+    # ------
+    @property
+    def mesh3d(self):
+        """
+        The 'mesh3d' property is a tuple of instances of
+        Mesh3d that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Mesh3d
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Mesh3d constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Mesh3d]
+        """
+        return self["mesh3d"]
+
+    @mesh3d.setter
+    def mesh3d(self, val):
+        self["mesh3d"] = val
+
+    # ohlc
+    # ----
+    @property
+    def ohlc(self):
+        """
+        The 'ohlc' property is a tuple of instances of
+        Ohlc that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Ohlc
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Ohlc constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Ohlc]
+        """
+        return self["ohlc"]
+
+    @ohlc.setter
+    def ohlc(self, val):
+        self["ohlc"] = val
+
+    # parcats
+    # -------
+    @property
+    def parcats(self):
+        """
+        The 'parcats' property is a tuple of instances of
+        Parcats that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Parcats
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Parcats constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Parcats]
+        """
+        return self["parcats"]
+
+    @parcats.setter
+    def parcats(self, val):
+        self["parcats"] = val
+
+    # parcoords
+    # ---------
+    @property
+    def parcoords(self):
+        """
+        The 'parcoords' property is a tuple of instances of
+        Parcoords that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Parcoords
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Parcoords constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Parcoords]
+        """
+        return self["parcoords"]
+
+    @parcoords.setter
+    def parcoords(self, val):
+        self["parcoords"] = val
+
+    # pie
+    # ---
+    @property
+    def pie(self):
+        """
+        The 'pie' property is a tuple of instances of
+        Pie that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Pie
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Pie constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Pie]
+        """
+        return self["pie"]
+
+    @pie.setter
+    def pie(self, val):
+        self["pie"] = val
+
+    # pointcloud
+    # ----------
+    @property
+    def pointcloud(self):
+        """
+        The 'pointcloud' property is a tuple of instances of
+        Pointcloud that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Pointcloud
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Pointcloud constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Pointcloud]
+        """
+        return self["pointcloud"]
+
+    @pointcloud.setter
+    def pointcloud(self, val):
+        self["pointcloud"] = val
+
+    # sankey
+    # ------
+    @property
+    def sankey(self):
+        """
+        The 'sankey' property is a tuple of instances of
+        Sankey that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Sankey
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Sankey constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Sankey]
+        """
+        return self["sankey"]
+
+    @sankey.setter
+    def sankey(self, val):
+        self["sankey"] = val
+
+    # scatter3d
+    # ---------
+    @property
+    def scatter3d(self):
+        """
+        The 'scatter3d' property is a tuple of instances of
+        Scatter3d that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatter3d
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scatter3d constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scatter3d]
+        """
+        return self["scatter3d"]
+
+    @scatter3d.setter
+    def scatter3d(self, val):
+        self["scatter3d"] = val
+
+    # scattercarpet
+    # -------------
+    @property
+    def scattercarpet(self):
+        """
+        The 'scattercarpet' property is a tuple of instances of
+        Scattercarpet that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattercarpet
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scattercarpet constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scattercarpet]
+        """
+        return self["scattercarpet"]
+
+    @scattercarpet.setter
+    def scattercarpet(self, val):
+        self["scattercarpet"] = val
+
+    # scattergeo
+    # ----------
+    @property
+    def scattergeo(self):
+        """
+        The 'scattergeo' property is a tuple of instances of
+        Scattergeo that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattergeo
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scattergeo constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scattergeo]
+        """
+        return self["scattergeo"]
+
+    @scattergeo.setter
+    def scattergeo(self, val):
+        self["scattergeo"] = val
+
+    # scattergl
+    # ---------
+    @property
+    def scattergl(self):
+        """
+        The 'scattergl' property is a tuple of instances of
+        Scattergl that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattergl
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scattergl constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scattergl]
+        """
+        return self["scattergl"]
+
+    @scattergl.setter
+    def scattergl(self, val):
+        self["scattergl"] = val
+
+    # scattermapbox
+    # -------------
+    @property
+    def scattermapbox(self):
+        """
+        The 'scattermapbox' property is a tuple of instances of
+        Scattermapbox that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scattermapbox
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scattermapbox constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scattermapbox]
+        """
+        return self["scattermapbox"]
+
+    @scattermapbox.setter
+    def scattermapbox(self, val):
+        self["scattermapbox"] = val
+
+    # scatterpolargl
+    # --------------
+    @property
+    def scatterpolargl(self):
+        """
+        The 'scatterpolargl' property is a tuple of instances of
+        Scatterpolargl that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatterpolargl
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scatterpolargl constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scatterpolargl]
+        """
+        return self["scatterpolargl"]
+
+    @scatterpolargl.setter
+    def scatterpolargl(self, val):
+        self["scatterpolargl"] = val
+
+    # scatterpolar
+    # ------------
+    @property
+    def scatterpolar(self):
+        """
+        The 'scatterpolar' property is a tuple of instances of
+        Scatterpolar that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatterpolar
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scatterpolar constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scatterpolar]
+        """
+        return self["scatterpolar"]
+
+    @scatterpolar.setter
+    def scatterpolar(self, val):
+        self["scatterpolar"] = val
+
+    # scatter
+    # -------
+    @property
+    def scatter(self):
+        """
+        The 'scatter' property is a tuple of instances of
+        Scatter that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatter
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scatter constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scatter]
+        """
+        return self["scatter"]
+
+    @scatter.setter
+    def scatter(self, val):
+        self["scatter"] = val
+
+    # scatterternary
+    # --------------
+    @property
+    def scatterternary(self):
+        """
+        The 'scatterternary' property is a tuple of instances of
+        Scatterternary that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Scatterternary
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Scatterternary constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Scatterternary]
+        """
+        return self["scatterternary"]
+
+    @scatterternary.setter
+    def scatterternary(self, val):
+        self["scatterternary"] = val
+
+    # splom
+    # -----
+    @property
+    def splom(self):
+        """
+        The 'splom' property is a tuple of instances of
+        Splom that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Splom
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Splom constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Splom]
+        """
+        return self["splom"]
+
+    @splom.setter
+    def splom(self, val):
+        self["splom"] = val
+
+    # streamtube
+    # ----------
+    @property
+    def streamtube(self):
+        """
+        The 'streamtube' property is a tuple of instances of
+        Streamtube that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Streamtube
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Streamtube constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Streamtube]
+        """
+        return self["streamtube"]
+
+    @streamtube.setter
+    def streamtube(self, val):
+        self["streamtube"] = val
+
+    # sunburst
+    # --------
+    @property
+    def sunburst(self):
+        """
+        The 'sunburst' property is a tuple of instances of
+        Sunburst that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Sunburst
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Sunburst constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Sunburst]
+        """
+        return self["sunburst"]
+
+    @sunburst.setter
+    def sunburst(self, val):
+        self["sunburst"] = val
+
+    # surface
+    # -------
+    @property
+    def surface(self):
+        """
+        The 'surface' property is a tuple of instances of
+        Surface that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Surface
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Surface constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Surface]
+        """
+        return self["surface"]
+
+    @surface.setter
+    def surface(self, val):
+        self["surface"] = val
+
+    # table
+    # -----
+    @property
+    def table(self):
+        """
+        The 'table' property is a tuple of instances of
+        Table that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Table
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Table constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Table]
+        """
+        return self["table"]
+
+    @table.setter
+    def table(self, val):
+        self["table"] = val
+
+    # treemap
+    # -------
+    @property
+    def treemap(self):
+        """
+        The 'treemap' property is a tuple of instances of
+        Treemap that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Treemap
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Treemap constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Treemap]
+        """
+        return self["treemap"]
+
+    @treemap.setter
+    def treemap(self, val):
+        self["treemap"] = val
+
+    # violin
+    # ------
+    @property
+    def violin(self):
+        """
+        The 'violin' property is a tuple of instances of
+        Violin that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Violin
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Violin constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Violin]
+        """
+        return self["violin"]
+
+    @violin.setter
+    def violin(self, val):
+        self["violin"] = val
+
+    # volume
+    # ------
+    @property
+    def volume(self):
+        """
+        The 'volume' property is a tuple of instances of
+        Volume that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Volume
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Volume constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Volume]
+        """
+        return self["volume"]
+
+    @volume.setter
+    def volume(self, val):
+        self["volume"] = val
+
+    # waterfall
+    # ---------
+    @property
+    def waterfall(self):
+        """
+        The 'waterfall' property is a tuple of instances of
+        Waterfall that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.template.data.Waterfall
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Waterfall constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.template.data.Waterfall]
+        """
+        return self["waterfall"]
+
+    @waterfall.setter
+    def waterfall(self, val):
+        self["waterfall"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        area
+            A tuple of :class:`plotly.graph_objects.Area` instances
+            or dicts with compatible properties
+        barpolar
+            A tuple of :class:`plotly.graph_objects.Barpolar`
+            instances or dicts with compatible properties
+        bar
+            A tuple of :class:`plotly.graph_objects.Bar` instances
+            or dicts with compatible properties
+        box
+            A tuple of :class:`plotly.graph_objects.Box` instances
+            or dicts with compatible properties
+        candlestick
+            A tuple of :class:`plotly.graph_objects.Candlestick`
+            instances or dicts with compatible properties
+        carpet
+            A tuple of :class:`plotly.graph_objects.Carpet`
+            instances or dicts with compatible properties
+        choroplethmapbox
+            A tuple of
+            :class:`plotly.graph_objects.Choroplethmapbox`
+            instances or dicts with compatible properties
+        choropleth
+            A tuple of :class:`plotly.graph_objects.Choropleth`
+            instances or dicts with compatible properties
+        cone
+            A tuple of :class:`plotly.graph_objects.Cone` instances
+            or dicts with compatible properties
+        contourcarpet
+            A tuple of :class:`plotly.graph_objects.Contourcarpet`
+            instances or dicts with compatible properties
+        contour
+            A tuple of :class:`plotly.graph_objects.Contour`
+            instances or dicts with compatible properties
+        densitymapbox
+            A tuple of :class:`plotly.graph_objects.Densitymapbox`
+            instances or dicts with compatible properties
+        funnelarea
+            A tuple of :class:`plotly.graph_objects.Funnelarea`
+            instances or dicts with compatible properties
+        funnel
+            A tuple of :class:`plotly.graph_objects.Funnel`
+            instances or dicts with compatible properties
+        heatmapgl
+            A tuple of :class:`plotly.graph_objects.Heatmapgl`
+            instances or dicts with compatible properties
+        heatmap
+            A tuple of :class:`plotly.graph_objects.Heatmap`
+            instances or dicts with compatible properties
+        histogram2dcontour
+            A tuple of
+            :class:`plotly.graph_objects.Histogram2dContour`
+            instances or dicts with compatible properties
+        histogram2d
+            A tuple of :class:`plotly.graph_objects.Histogram2d`
+            instances or dicts with compatible properties
+        histogram
+            A tuple of :class:`plotly.graph_objects.Histogram`
+            instances or dicts with compatible properties
+        image
+            A tuple of :class:`plotly.graph_objects.Image`
+            instances or dicts with compatible properties
+        indicator
+            A tuple of :class:`plotly.graph_objects.Indicator`
+            instances or dicts with compatible properties
+        isosurface
+            A tuple of :class:`plotly.graph_objects.Isosurface`
+            instances or dicts with compatible properties
+        mesh3d
+            A tuple of :class:`plotly.graph_objects.Mesh3d`
+            instances or dicts with compatible properties
+        ohlc
+            A tuple of :class:`plotly.graph_objects.Ohlc` instances
+            or dicts with compatible properties
+        parcats
+            A tuple of :class:`plotly.graph_objects.Parcats`
+            instances or dicts with compatible properties
+        parcoords
+            A tuple of :class:`plotly.graph_objects.Parcoords`
+            instances or dicts with compatible properties
+        pie
+            A tuple of :class:`plotly.graph_objects.Pie` instances
+            or dicts with compatible properties
+        pointcloud
+            A tuple of :class:`plotly.graph_objects.Pointcloud`
+            instances or dicts with compatible properties
+        sankey
+            A tuple of :class:`plotly.graph_objects.Sankey`
+            instances or dicts with compatible properties
+        scatter3d
+            A tuple of :class:`plotly.graph_objects.Scatter3d`
+            instances or dicts with compatible properties
+        scattercarpet
+            A tuple of :class:`plotly.graph_objects.Scattercarpet`
+            instances or dicts with compatible properties
+        scattergeo
+            A tuple of :class:`plotly.graph_objects.Scattergeo`
+            instances or dicts with compatible properties
+        scattergl
+            A tuple of :class:`plotly.graph_objects.Scattergl`
+            instances or dicts with compatible properties
+        scattermapbox
+            A tuple of :class:`plotly.graph_objects.Scattermapbox`
+            instances or dicts with compatible properties
+        scatterpolargl
+            A tuple of :class:`plotly.graph_objects.Scatterpolargl`
+            instances or dicts with compatible properties
+        scatterpolar
+            A tuple of :class:`plotly.graph_objects.Scatterpolar`
+            instances or dicts with compatible properties
+        scatter
+            A tuple of :class:`plotly.graph_objects.Scatter`
+            instances or dicts with compatible properties
+        scatterternary
+            A tuple of :class:`plotly.graph_objects.Scatterternary`
+            instances or dicts with compatible properties
+        splom
+            A tuple of :class:`plotly.graph_objects.Splom`
+            instances or dicts with compatible properties
+        streamtube
+            A tuple of :class:`plotly.graph_objects.Streamtube`
+            instances or dicts with compatible properties
+        sunburst
+            A tuple of :class:`plotly.graph_objects.Sunburst`
+            instances or dicts with compatible properties
+        surface
+            A tuple of :class:`plotly.graph_objects.Surface`
+            instances or dicts with compatible properties
+        table
+            A tuple of :class:`plotly.graph_objects.Table`
+            instances or dicts with compatible properties
+        treemap
+            A tuple of :class:`plotly.graph_objects.Treemap`
+            instances or dicts with compatible properties
+        violin
+            A tuple of :class:`plotly.graph_objects.Violin`
+            instances or dicts with compatible properties
+        volume
+            A tuple of :class:`plotly.graph_objects.Volume`
+            instances or dicts with compatible properties
+        waterfall
+            A tuple of :class:`plotly.graph_objects.Waterfall`
+            instances or dicts with compatible properties
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        area=None,
+        barpolar=None,
+        bar=None,
+        box=None,
+        candlestick=None,
+        carpet=None,
+        choroplethmapbox=None,
+        choropleth=None,
+        cone=None,
+        contourcarpet=None,
+        contour=None,
+        densitymapbox=None,
+        funnelarea=None,
+        funnel=None,
+        heatmapgl=None,
+        heatmap=None,
+        histogram2dcontour=None,
+        histogram2d=None,
+        histogram=None,
+        image=None,
+        indicator=None,
+        isosurface=None,
+        mesh3d=None,
+        ohlc=None,
+        parcats=None,
+        parcoords=None,
+        pie=None,
+        pointcloud=None,
+        sankey=None,
+        scatter3d=None,
+        scattercarpet=None,
+        scattergeo=None,
+        scattergl=None,
+        scattermapbox=None,
+        scatterpolargl=None,
+        scatterpolar=None,
+        scatter=None,
+        scatterternary=None,
+        splom=None,
+        streamtube=None,
+        sunburst=None,
+        surface=None,
+        table=None,
+        treemap=None,
+        violin=None,
+        volume=None,
+        waterfall=None,
+        **kwargs
+    ):
+        """
+        Construct a new Data object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.template.Data`
+        area
+            A tuple of :class:`plotly.graph_objects.Area` instances
+            or dicts with compatible properties
+        barpolar
+            A tuple of :class:`plotly.graph_objects.Barpolar`
+            instances or dicts with compatible properties
+        bar
+            A tuple of :class:`plotly.graph_objects.Bar` instances
+            or dicts with compatible properties
+        box
+            A tuple of :class:`plotly.graph_objects.Box` instances
+            or dicts with compatible properties
+        candlestick
+            A tuple of :class:`plotly.graph_objects.Candlestick`
+            instances or dicts with compatible properties
+        carpet
+            A tuple of :class:`plotly.graph_objects.Carpet`
+            instances or dicts with compatible properties
+        choroplethmapbox
+            A tuple of
+            :class:`plotly.graph_objects.Choroplethmapbox`
+            instances or dicts with compatible properties
+        choropleth
+            A tuple of :class:`plotly.graph_objects.Choropleth`
+            instances or dicts with compatible properties
+        cone
+            A tuple of :class:`plotly.graph_objects.Cone` instances
+            or dicts with compatible properties
+        contourcarpet
+            A tuple of :class:`plotly.graph_objects.Contourcarpet`
+            instances or dicts with compatible properties
+        contour
+            A tuple of :class:`plotly.graph_objects.Contour`
+            instances or dicts with compatible properties
+        densitymapbox
+            A tuple of :class:`plotly.graph_objects.Densitymapbox`
+            instances or dicts with compatible properties
+        funnelarea
+            A tuple of :class:`plotly.graph_objects.Funnelarea`
+            instances or dicts with compatible properties
+        funnel
+            A tuple of :class:`plotly.graph_objects.Funnel`
+            instances or dicts with compatible properties
+        heatmapgl
+            A tuple of :class:`plotly.graph_objects.Heatmapgl`
+            instances or dicts with compatible properties
+        heatmap
+            A tuple of :class:`plotly.graph_objects.Heatmap`
+            instances or dicts with compatible properties
+        histogram2dcontour
+            A tuple of
+            :class:`plotly.graph_objects.Histogram2dContour`
+            instances or dicts with compatible properties
+        histogram2d
+            A tuple of :class:`plotly.graph_objects.Histogram2d`
+            instances or dicts with compatible properties
+        histogram
+            A tuple of :class:`plotly.graph_objects.Histogram`
+            instances or dicts with compatible properties
+        image
+            A tuple of :class:`plotly.graph_objects.Image`
+            instances or dicts with compatible properties
+        indicator
+            A tuple of :class:`plotly.graph_objects.Indicator`
+            instances or dicts with compatible properties
+        isosurface
+            A tuple of :class:`plotly.graph_objects.Isosurface`
+            instances or dicts with compatible properties
+        mesh3d
+            A tuple of :class:`plotly.graph_objects.Mesh3d`
+            instances or dicts with compatible properties
+        ohlc
+            A tuple of :class:`plotly.graph_objects.Ohlc` instances
+            or dicts with compatible properties
+        parcats
+            A tuple of :class:`plotly.graph_objects.Parcats`
+            instances or dicts with compatible properties
+        parcoords
+            A tuple of :class:`plotly.graph_objects.Parcoords`
+            instances or dicts with compatible properties
+        pie
+            A tuple of :class:`plotly.graph_objects.Pie` instances
+            or dicts with compatible properties
+        pointcloud
+            A tuple of :class:`plotly.graph_objects.Pointcloud`
+            instances or dicts with compatible properties
+        sankey
+            A tuple of :class:`plotly.graph_objects.Sankey`
+            instances or dicts with compatible properties
+        scatter3d
+            A tuple of :class:`plotly.graph_objects.Scatter3d`
+            instances or dicts with compatible properties
+        scattercarpet
+            A tuple of :class:`plotly.graph_objects.Scattercarpet`
+            instances or dicts with compatible properties
+        scattergeo
+            A tuple of :class:`plotly.graph_objects.Scattergeo`
+            instances or dicts with compatible properties
+        scattergl
+            A tuple of :class:`plotly.graph_objects.Scattergl`
+            instances or dicts with compatible properties
+        scattermapbox
+            A tuple of :class:`plotly.graph_objects.Scattermapbox`
+            instances or dicts with compatible properties
+        scatterpolargl
+            A tuple of :class:`plotly.graph_objects.Scatterpolargl`
+            instances or dicts with compatible properties
+        scatterpolar
+            A tuple of :class:`plotly.graph_objects.Scatterpolar`
+            instances or dicts with compatible properties
+        scatter
+            A tuple of :class:`plotly.graph_objects.Scatter`
+            instances or dicts with compatible properties
+        scatterternary
+            A tuple of :class:`plotly.graph_objects.Scatterternary`
+            instances or dicts with compatible properties
+        splom
+            A tuple of :class:`plotly.graph_objects.Splom`
+            instances or dicts with compatible properties
+        streamtube
+            A tuple of :class:`plotly.graph_objects.Streamtube`
+            instances or dicts with compatible properties
+        sunburst
+            A tuple of :class:`plotly.graph_objects.Sunburst`
+            instances or dicts with compatible properties
+        surface
+            A tuple of :class:`plotly.graph_objects.Surface`
+            instances or dicts with compatible properties
+        table
+            A tuple of :class:`plotly.graph_objects.Table`
+            instances or dicts with compatible properties
+        treemap
+            A tuple of :class:`plotly.graph_objects.Treemap`
+            instances or dicts with compatible properties
+        violin
+            A tuple of :class:`plotly.graph_objects.Violin`
+            instances or dicts with compatible properties
+        volume
+            A tuple of :class:`plotly.graph_objects.Volume`
+            instances or dicts with compatible properties
+        waterfall
+            A tuple of :class:`plotly.graph_objects.Waterfall`
+            instances or dicts with compatible properties
+
+        Returns
+        -------
+        Data
+        """
+        super(Data, self).__init__("data")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.template.Data 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.template.Data`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("area", None)
+        _v = area if area is not None else _v
+        if _v is not None:
+            self["area"] = _v
+        _v = arg.pop("barpolar", None)
+        _v = barpolar if barpolar is not None else _v
+        if _v is not None:
+            self["barpolar"] = _v
+        _v = arg.pop("bar", None)
+        _v = bar if bar is not None else _v
+        if _v is not None:
+            self["bar"] = _v
+        _v = arg.pop("box", None)
+        _v = box if box is not None else _v
+        if _v is not None:
+            self["box"] = _v
+        _v = arg.pop("candlestick", None)
+        _v = candlestick if candlestick is not None else _v
+        if _v is not None:
+            self["candlestick"] = _v
+        _v = arg.pop("carpet", None)
+        _v = carpet if carpet is not None else _v
+        if _v is not None:
+            self["carpet"] = _v
+        _v = arg.pop("choroplethmapbox", None)
+        _v = choroplethmapbox if choroplethmapbox is not None else _v
+        if _v is not None:
+            self["choroplethmapbox"] = _v
+        _v = arg.pop("choropleth", None)
+        _v = choropleth if choropleth is not None else _v
+        if _v is not None:
+            self["choropleth"] = _v
+        _v = arg.pop("cone", None)
+        _v = cone if cone is not None else _v
+        if _v is not None:
+            self["cone"] = _v
+        _v = arg.pop("contourcarpet", None)
+        _v = contourcarpet if contourcarpet is not None else _v
+        if _v is not None:
+            self["contourcarpet"] = _v
+        _v = arg.pop("contour", None)
+        _v = contour if contour is not None else _v
+        if _v is not None:
+            self["contour"] = _v
+        _v = arg.pop("densitymapbox", None)
+        _v = densitymapbox if densitymapbox is not None else _v
+        if _v is not None:
+            self["densitymapbox"] = _v
+        _v = arg.pop("funnelarea", None)
+        _v = funnelarea if funnelarea is not None else _v
+        if _v is not None:
+            self["funnelarea"] = _v
+        _v = arg.pop("funnel", None)
+        _v = funnel if funnel is not None else _v
+        if _v is not None:
+            self["funnel"] = _v
+        _v = arg.pop("heatmapgl", None)
+        _v = heatmapgl if heatmapgl is not None else _v
+        if _v is not None:
+            self["heatmapgl"] = _v
+        _v = arg.pop("heatmap", None)
+        _v = heatmap if heatmap is not None else _v
+        if _v is not None:
+            self["heatmap"] = _v
+        _v = arg.pop("histogram2dcontour", None)
+        _v = histogram2dcontour if histogram2dcontour is not None else _v
+        if _v is not None:
+            self["histogram2dcontour"] = _v
+        _v = arg.pop("histogram2d", None)
+        _v = histogram2d if histogram2d is not None else _v
+        if _v is not None:
+            self["histogram2d"] = _v
+        _v = arg.pop("histogram", None)
+        _v = histogram if histogram is not None else _v
+        if _v is not None:
+            self["histogram"] = _v
+        _v = arg.pop("image", None)
+        _v = image if image is not None else _v
+        if _v is not None:
+            self["image"] = _v
+        _v = arg.pop("indicator", None)
+        _v = indicator if indicator is not None else _v
+        if _v is not None:
+            self["indicator"] = _v
+        _v = arg.pop("isosurface", None)
+        _v = isosurface if isosurface is not None else _v
+        if _v is not None:
+            self["isosurface"] = _v
+        _v = arg.pop("mesh3d", None)
+        _v = mesh3d if mesh3d is not None else _v
+        if _v is not None:
+            self["mesh3d"] = _v
+        _v = arg.pop("ohlc", None)
+        _v = ohlc if ohlc is not None else _v
+        if _v is not None:
+            self["ohlc"] = _v
+        _v = arg.pop("parcats", None)
+        _v = parcats if parcats is not None else _v
+        if _v is not None:
+            self["parcats"] = _v
+        _v = arg.pop("parcoords", None)
+        _v = parcoords if parcoords is not None else _v
+        if _v is not None:
+            self["parcoords"] = _v
+        _v = arg.pop("pie", None)
+        _v = pie if pie is not None else _v
+        if _v is not None:
+            self["pie"] = _v
+        _v = arg.pop("pointcloud", None)
+        _v = pointcloud if pointcloud is not None else _v
+        if _v is not None:
+            self["pointcloud"] = _v
+        _v = arg.pop("sankey", None)
+        _v = sankey if sankey is not None else _v
+        if _v is not None:
+            self["sankey"] = _v
+        _v = arg.pop("scatter3d", None)
+        _v = scatter3d if scatter3d is not None else _v
+        if _v is not None:
+            self["scatter3d"] = _v
+        _v = arg.pop("scattercarpet", None)
+        _v = scattercarpet if scattercarpet is not None else _v
+        if _v is not None:
+            self["scattercarpet"] = _v
+        _v = arg.pop("scattergeo", None)
+        _v = scattergeo if scattergeo is not None else _v
+        if _v is not None:
+            self["scattergeo"] = _v
+        _v = arg.pop("scattergl", None)
+        _v = scattergl if scattergl is not None else _v
+        if _v is not None:
+            self["scattergl"] = _v
+        _v = arg.pop("scattermapbox", None)
+        _v = scattermapbox if scattermapbox is not None else _v
+        if _v is not None:
+            self["scattermapbox"] = _v
+        _v = arg.pop("scatterpolargl", None)
+        _v = scatterpolargl if scatterpolargl is not None else _v
+        if _v is not None:
+            self["scatterpolargl"] = _v
+        _v = arg.pop("scatterpolar", None)
+        _v = scatterpolar if scatterpolar is not None else _v
+        if _v is not None:
+            self["scatterpolar"] = _v
+        _v = arg.pop("scatter", None)
+        _v = scatter if scatter is not None else _v
+        if _v is not None:
+            self["scatter"] = _v
+        _v = arg.pop("scatterternary", None)
+        _v = scatterternary if scatterternary is not None else _v
+        if _v is not None:
+            self["scatterternary"] = _v
+        _v = arg.pop("splom", None)
+        _v = splom if splom is not None else _v
+        if _v is not None:
+            self["splom"] = _v
+        _v = arg.pop("streamtube", None)
+        _v = streamtube if streamtube is not None else _v
+        if _v is not None:
+            self["streamtube"] = _v
+        _v = arg.pop("sunburst", None)
+        _v = sunburst if sunburst is not None else _v
+        if _v is not None:
+            self["sunburst"] = _v
+        _v = arg.pop("surface", None)
+        _v = surface if surface is not None else _v
+        if _v is not None:
+            self["surface"] = _v
+        _v = arg.pop("table", None)
+        _v = table if table is not None else _v
+        if _v is not None:
+            self["table"] = _v
+        _v = arg.pop("treemap", None)
+        _v = treemap if treemap is not None else _v
+        if _v is not None:
+            self["treemap"] = _v
+        _v = arg.pop("violin", None)
+        _v = violin if violin is not None else _v
+        if _v is not None:
+            self["violin"] = _v
+        _v = arg.pop("volume", None)
+        _v = volume if volume is not None else _v
+        if _v is not None:
+            self["volume"] = _v
+        _v = arg.pop("waterfall", None)
+        _v = waterfall if waterfall is not None else _v
+        if _v is not None:
+            self["waterfall"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/_layout.py b/packages/python/plotly/plotly/graph_objs/layout/template/_layout.py
new file mode 100644
index 00000000000..058b60b807d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/_layout.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Layout
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/__init__.py
index 886b7b9030e..286214206d4 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/template/data/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/__init__.py
@@ -1,143 +1,106 @@
-from plotly.graph_objs import Waterfall
-
-from plotly.graph_objs import Volume
-
-from plotly.graph_objs import Violin
-
-from plotly.graph_objs import Treemap
-
-from plotly.graph_objs import Table
-
-from plotly.graph_objs import Surface
-
-from plotly.graph_objs import Sunburst
-
-from plotly.graph_objs import Streamtube
-
-from plotly.graph_objs import Splom
-
-from plotly.graph_objs import Scatterternary
-
-from plotly.graph_objs import Scatter
-
-from plotly.graph_objs import Scatterpolar
-
-from plotly.graph_objs import Scatterpolargl
-
-from plotly.graph_objs import Scattermapbox
-
-from plotly.graph_objs import Scattergl
-
-from plotly.graph_objs import Scattergeo
-
-from plotly.graph_objs import Scattercarpet
-
-from plotly.graph_objs import Scatter3d
-
-from plotly.graph_objs import Sankey
-
-from plotly.graph_objs import Pointcloud
-
-from plotly.graph_objs import Pie
-
-from plotly.graph_objs import Parcoords
-
-from plotly.graph_objs import Parcats
-
-from plotly.graph_objs import Ohlc
-
-from plotly.graph_objs import Mesh3d
-
-from plotly.graph_objs import Isosurface
-
-from plotly.graph_objs import Indicator
-
-from plotly.graph_objs import Image
-
-from plotly.graph_objs import Histogram
-
-from plotly.graph_objs import Histogram2d
-
-from plotly.graph_objs import Histogram2dContour
-
-from plotly.graph_objs import Heatmap
-
-from plotly.graph_objs import Heatmapgl
-
-from plotly.graph_objs import Funnel
-
-from plotly.graph_objs import Funnelarea
-
-from plotly.graph_objs import Densitymapbox
-
-from plotly.graph_objs import Contour
-
-from plotly.graph_objs import Contourcarpet
-
-from plotly.graph_objs import Cone
-
-from plotly.graph_objs import Choropleth
-
-from plotly.graph_objs import Choroplethmapbox
-
-from plotly.graph_objs import Carpet
-
-from plotly.graph_objs import Candlestick
-
-from plotly.graph_objs import Box
-
-from plotly.graph_objs import Bar
-
-from plotly.graph_objs import Barpolar
-
-from plotly.graph_objs import Area
-
-__all__ = [
-    "Area",
-    "Bar",
-    "Barpolar",
-    "Box",
-    "Candlestick",
-    "Carpet",
-    "Choropleth",
-    "Choroplethmapbox",
-    "Cone",
-    "Contour",
-    "Contourcarpet",
-    "Densitymapbox",
-    "Funnel",
-    "Funnelarea",
-    "Heatmap",
-    "Heatmapgl",
-    "Histogram",
-    "Histogram2d",
-    "Histogram2dContour",
-    "Image",
-    "Indicator",
-    "Isosurface",
-    "Mesh3d",
-    "Ohlc",
-    "Parcats",
-    "Parcoords",
-    "Pie",
-    "Pointcloud",
-    "Sankey",
-    "Scatter",
-    "Scatter3d",
-    "Scattercarpet",
-    "Scattergeo",
-    "Scattergl",
-    "Scattermapbox",
-    "Scatterpolar",
-    "Scatterpolargl",
-    "Scatterternary",
-    "Splom",
-    "Streamtube",
-    "Sunburst",
-    "Surface",
-    "Table",
-    "Treemap",
-    "Violin",
-    "Volume",
-    "Waterfall",
-]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._waterfall import Waterfall
+    from ._volume import Volume
+    from ._violin import Violin
+    from ._treemap import Treemap
+    from ._table import Table
+    from ._surface import Surface
+    from ._sunburst import Sunburst
+    from ._streamtube import Streamtube
+    from ._splom import Splom
+    from ._scatterternary import Scatterternary
+    from ._scatter import Scatter
+    from ._scatterpolar import Scatterpolar
+    from ._scatterpolargl import Scatterpolargl
+    from ._scattermapbox import Scattermapbox
+    from ._scattergl import Scattergl
+    from ._scattergeo import Scattergeo
+    from ._scattercarpet import Scattercarpet
+    from ._scatter3d import Scatter3d
+    from ._sankey import Sankey
+    from ._pointcloud import Pointcloud
+    from ._pie import Pie
+    from ._parcoords import Parcoords
+    from ._parcats import Parcats
+    from ._ohlc import Ohlc
+    from ._mesh3d import Mesh3d
+    from ._isosurface import Isosurface
+    from ._indicator import Indicator
+    from ._image import Image
+    from ._histogram import Histogram
+    from ._histogram2d import Histogram2d
+    from ._histogram2dcontour import Histogram2dContour
+    from ._heatmap import Heatmap
+    from ._heatmapgl import Heatmapgl
+    from ._funnel import Funnel
+    from ._funnelarea import Funnelarea
+    from ._densitymapbox import Densitymapbox
+    from ._contour import Contour
+    from ._contourcarpet import Contourcarpet
+    from ._cone import Cone
+    from ._choropleth import Choropleth
+    from ._choroplethmapbox import Choroplethmapbox
+    from ._carpet import Carpet
+    from ._candlestick import Candlestick
+    from ._box import Box
+    from ._bar import Bar
+    from ._barpolar import Barpolar
+    from ._area import Area
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._waterfall.Waterfall",
+            "._volume.Volume",
+            "._violin.Violin",
+            "._treemap.Treemap",
+            "._table.Table",
+            "._surface.Surface",
+            "._sunburst.Sunburst",
+            "._streamtube.Streamtube",
+            "._splom.Splom",
+            "._scatterternary.Scatterternary",
+            "._scatter.Scatter",
+            "._scatterpolar.Scatterpolar",
+            "._scatterpolargl.Scatterpolargl",
+            "._scattermapbox.Scattermapbox",
+            "._scattergl.Scattergl",
+            "._scattergeo.Scattergeo",
+            "._scattercarpet.Scattercarpet",
+            "._scatter3d.Scatter3d",
+            "._sankey.Sankey",
+            "._pointcloud.Pointcloud",
+            "._pie.Pie",
+            "._parcoords.Parcoords",
+            "._parcats.Parcats",
+            "._ohlc.Ohlc",
+            "._mesh3d.Mesh3d",
+            "._isosurface.Isosurface",
+            "._indicator.Indicator",
+            "._image.Image",
+            "._histogram.Histogram",
+            "._histogram2d.Histogram2d",
+            "._histogram2dcontour.Histogram2dContour",
+            "._heatmap.Heatmap",
+            "._heatmapgl.Heatmapgl",
+            "._funnel.Funnel",
+            "._funnelarea.Funnelarea",
+            "._densitymapbox.Densitymapbox",
+            "._contour.Contour",
+            "._contourcarpet.Contourcarpet",
+            "._cone.Cone",
+            "._choropleth.Choropleth",
+            "._choroplethmapbox.Choroplethmapbox",
+            "._carpet.Carpet",
+            "._candlestick.Candlestick",
+            "._box.Box",
+            "._bar.Bar",
+            "._barpolar.Barpolar",
+            "._area.Area",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_area.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_area.py
new file mode 100644
index 00000000000..ad21bdf3e8d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_area.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Area
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_bar.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_bar.py
new file mode 100644
index 00000000000..5a800e64085
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_bar.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Bar
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_barpolar.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_barpolar.py
new file mode 100644
index 00000000000..18abed8bbb6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_barpolar.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Barpolar
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_box.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_box.py
new file mode 100644
index 00000000000..ffdd1d92139
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_box.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Box
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_candlestick.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_candlestick.py
new file mode 100644
index 00000000000..5d11b448593
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_candlestick.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Candlestick
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_carpet.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_carpet.py
new file mode 100644
index 00000000000..b923d73904d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_carpet.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Carpet
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_choropleth.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_choropleth.py
new file mode 100644
index 00000000000..733e12709cc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_choropleth.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Choropleth
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_choroplethmapbox.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_choroplethmapbox.py
new file mode 100644
index 00000000000..220b93564e7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_choroplethmapbox.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Choroplethmapbox
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_cone.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_cone.py
new file mode 100644
index 00000000000..7a284527a8d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_cone.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Cone
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_contour.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_contour.py
new file mode 100644
index 00000000000..e474909a4d2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_contour.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Contour
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_contourcarpet.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_contourcarpet.py
new file mode 100644
index 00000000000..6240faf5100
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_contourcarpet.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Contourcarpet
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_densitymapbox.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_densitymapbox.py
new file mode 100644
index 00000000000..d655b21ab3f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_densitymapbox.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Densitymapbox
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_funnel.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_funnel.py
new file mode 100644
index 00000000000..70e2ba74d48
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_funnel.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Funnel
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_funnelarea.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_funnelarea.py
new file mode 100644
index 00000000000..242d0fcc962
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_funnelarea.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Funnelarea
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_heatmap.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_heatmap.py
new file mode 100644
index 00000000000..6098ee83e70
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_heatmap.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Heatmap
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_heatmapgl.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_heatmapgl.py
new file mode 100644
index 00000000000..625f2797d24
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_heatmapgl.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Heatmapgl
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram.py
new file mode 100644
index 00000000000..7ba4c6df2fe
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Histogram
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram2d.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram2d.py
new file mode 100644
index 00000000000..710f7f99296
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram2d.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Histogram2d
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram2dcontour.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram2dcontour.py
new file mode 100644
index 00000000000..94af41aa922
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_histogram2dcontour.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Histogram2dContour
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_image.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_image.py
new file mode 100644
index 00000000000..828920ac697
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_image.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Image
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_indicator.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_indicator.py
new file mode 100644
index 00000000000..a5a488f8bbe
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_indicator.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Indicator
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_isosurface.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_isosurface.py
new file mode 100644
index 00000000000..5a7885ab64b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_isosurface.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Isosurface
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_mesh3d.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_mesh3d.py
new file mode 100644
index 00000000000..2172a23bd4b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_mesh3d.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Mesh3d
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_ohlc.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_ohlc.py
new file mode 100644
index 00000000000..d3f857428cc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_ohlc.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Ohlc
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_parcats.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_parcats.py
new file mode 100644
index 00000000000..9b0290bcce8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_parcats.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Parcats
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_parcoords.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_parcoords.py
new file mode 100644
index 00000000000..ccf5629c54f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_parcoords.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Parcoords
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_pie.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_pie.py
new file mode 100644
index 00000000000..0625fd28881
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_pie.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Pie
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_pointcloud.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_pointcloud.py
new file mode 100644
index 00000000000..af62ef6313d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_pointcloud.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Pointcloud
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_sankey.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_sankey.py
new file mode 100644
index 00000000000..b572f657ce9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_sankey.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Sankey
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatter.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatter.py
new file mode 100644
index 00000000000..afcfab30afa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatter.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scatter
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatter3d.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatter3d.py
new file mode 100644
index 00000000000..93146220e39
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatter3d.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scatter3d
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattercarpet.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattercarpet.py
new file mode 100644
index 00000000000..26d87ca7c1c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattercarpet.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scattercarpet
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattergeo.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattergeo.py
new file mode 100644
index 00000000000..34308e1a081
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattergeo.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scattergeo
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattergl.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattergl.py
new file mode 100644
index 00000000000..30bd3712b80
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattergl.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scattergl
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattermapbox.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattermapbox.py
new file mode 100644
index 00000000000..6c3333aa945
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scattermapbox.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scattermapbox
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterpolar.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterpolar.py
new file mode 100644
index 00000000000..e1417b23810
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterpolar.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scatterpolar
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterpolargl.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterpolargl.py
new file mode 100644
index 00000000000..60b023a581b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterpolargl.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scatterpolargl
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterternary.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterternary.py
new file mode 100644
index 00000000000..2221eadd54d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_scatterternary.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Scatterternary
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_splom.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_splom.py
new file mode 100644
index 00000000000..0909cdfd9dd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_splom.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Splom
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_streamtube.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_streamtube.py
new file mode 100644
index 00000000000..8b23c3161cb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_streamtube.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Streamtube
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_sunburst.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_sunburst.py
new file mode 100644
index 00000000000..1b9511c7d5b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_sunburst.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Sunburst
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_surface.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_surface.py
new file mode 100644
index 00000000000..cfaa55d7385
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_surface.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Surface
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_table.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_table.py
new file mode 100644
index 00000000000..2b6d4ad1e57
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_table.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Table
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_treemap.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_treemap.py
new file mode 100644
index 00000000000..5c648e7108e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_treemap.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Treemap
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_violin.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_violin.py
new file mode 100644
index 00000000000..23221b66776
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_violin.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Violin
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_volume.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_volume.py
new file mode 100644
index 00000000000..1128580ca0f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_volume.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Volume
diff --git a/packages/python/plotly/plotly/graph_objs/layout/template/data/_waterfall.py b/packages/python/plotly/plotly/graph_objs/layout/template/data/_waterfall.py
new file mode 100644
index 00000000000..c45e7852a2c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/template/data/_waterfall.py
@@ -0,0 +1 @@
+from plotly.graph_objs import Waterfall
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/__init__.py
index 0519c0f230e..ac9c0b61532 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/__init__.py
@@ -1,5390 +1,18 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseLayoutHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this ternary subplot .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this ternary subplot .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this ternary subplot (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this ternary subplot (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this ternary subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this ternary subplot .
-        x
-            Sets the horizontal domain of this ternary subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this ternary subplot (in
-            plot fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this ternary subplot .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this ternary subplot .
-        x
-            Sets the horizontal domain of this ternary subplot (in
-            plot fraction).
-        y
-            Sets the vertical domain of this ternary subplot (in
-            plot fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Caxis(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # min
-    # ---
-    @property
-    def min(self):
-        """
-        The minimum value visible on this axis. The maximum is
-        determined by the sum minus the minimum values of the other two
-        axes. The full view corresponds to all the minima set to zero.
-    
-        The 'min' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["min"]
-
-    @min.setter
-    def min(self, val):
-        self["min"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.caxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.ternary.caxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.ternary.caxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.ternary.caxis.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        layout.ternary.caxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.caxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.caxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.ternary.caxis.title.font instead.
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `min`, and
-        `title` if in `editable: true` configuration. Defaults to
-        `ternary<N>.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        min
-            The minimum value visible on this axis. The maximum is
-            determined by the sum minus the minimum values of the
-            other two axes. The full view corresponds to all the
-            minima set to zero.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.ternary.
-            caxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.tern
-            ary.caxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.ternary.caxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.ternary.caxis.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.ternary.caxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min`, and `title` if in `editable: true`
-            configuration. Defaults to `ternary<N>.uirevision`.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        min=None,
-        nticks=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        uirevision=None,
-        **kwargs
-    ):
-        """
-        Construct a new Caxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.Caxis`
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        min
-            The minimum value visible on this axis. The maximum is
-            determined by the sum minus the minimum values of the
-            other two axes. The full view corresponds to all the
-            minima set to zero.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.ternary.
-            caxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.tern
-            ary.caxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.ternary.caxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.ternary.caxis.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.ternary.caxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min`, and `title` if in `editable: true`
-            configuration. Defaults to `ternary<N>.uirevision`.
-
-        Returns
-        -------
-        Caxis
-        """
-        super(Caxis, self).__init__("caxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.Caxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.Caxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary import caxis as v_caxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_caxis.ColorValidator()
-        self._validators["dtick"] = v_caxis.DtickValidator()
-        self._validators["exponentformat"] = v_caxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_caxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_caxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_caxis.HoverformatValidator()
-        self._validators["layer"] = v_caxis.LayerValidator()
-        self._validators["linecolor"] = v_caxis.LinecolorValidator()
-        self._validators["linewidth"] = v_caxis.LinewidthValidator()
-        self._validators["min"] = v_caxis.MinValidator()
-        self._validators["nticks"] = v_caxis.NticksValidator()
-        self._validators["separatethousands"] = v_caxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_caxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_caxis.ShowgridValidator()
-        self._validators["showline"] = v_caxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_caxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_caxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_caxis.ShowticksuffixValidator()
-        self._validators["tick0"] = v_caxis.Tick0Validator()
-        self._validators["tickangle"] = v_caxis.TickangleValidator()
-        self._validators["tickcolor"] = v_caxis.TickcolorValidator()
-        self._validators["tickfont"] = v_caxis.TickfontValidator()
-        self._validators["tickformat"] = v_caxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_caxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_caxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_caxis.TicklenValidator()
-        self._validators["tickmode"] = v_caxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_caxis.TickprefixValidator()
-        self._validators["ticks"] = v_caxis.TicksValidator()
-        self._validators["ticksuffix"] = v_caxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_caxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_caxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_caxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_caxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_caxis.TickwidthValidator()
-        self._validators["title"] = v_caxis.TitleValidator()
-        self._validators["uirevision"] = v_caxis.UirevisionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("min", None)
-        self["min"] = min if min is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Baxis(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # min
-    # ---
-    @property
-    def min(self):
-        """
-        The minimum value visible on this axis. The maximum is
-        determined by the sum minus the minimum values of the other two
-        axes. The full view corresponds to all the minima set to zero.
-    
-        The 'min' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["min"]
-
-    @min.setter
-    def min(self, val):
-        self["min"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.baxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.ternary.baxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.ternary.baxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.ternary.baxis.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        layout.ternary.baxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.baxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.baxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.ternary.baxis.title.font instead.
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `min`, and
-        `title` if in `editable: true` configuration. Defaults to
-        `ternary<N>.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        min
-            The minimum value visible on this axis. The maximum is
-            determined by the sum minus the minimum values of the
-            other two axes. The full view corresponds to all the
-            minima set to zero.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.ternary.
-            baxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.tern
-            ary.baxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.ternary.baxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.ternary.baxis.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.ternary.baxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min`, and `title` if in `editable: true`
-            configuration. Defaults to `ternary<N>.uirevision`.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        min=None,
-        nticks=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        uirevision=None,
-        **kwargs
-    ):
-        """
-        Construct a new Baxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.Baxis`
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        min
-            The minimum value visible on this axis. The maximum is
-            determined by the sum minus the minimum values of the
-            other two axes. The full view corresponds to all the
-            minima set to zero.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.ternary.
-            baxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.tern
-            ary.baxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.ternary.baxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.ternary.baxis.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.ternary.baxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min`, and `title` if in `editable: true`
-            configuration. Defaults to `ternary<N>.uirevision`.
-
-        Returns
-        -------
-        Baxis
-        """
-        super(Baxis, self).__init__("baxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.Baxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.Baxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary import baxis as v_baxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_baxis.ColorValidator()
-        self._validators["dtick"] = v_baxis.DtickValidator()
-        self._validators["exponentformat"] = v_baxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_baxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_baxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_baxis.HoverformatValidator()
-        self._validators["layer"] = v_baxis.LayerValidator()
-        self._validators["linecolor"] = v_baxis.LinecolorValidator()
-        self._validators["linewidth"] = v_baxis.LinewidthValidator()
-        self._validators["min"] = v_baxis.MinValidator()
-        self._validators["nticks"] = v_baxis.NticksValidator()
-        self._validators["separatethousands"] = v_baxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_baxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_baxis.ShowgridValidator()
-        self._validators["showline"] = v_baxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_baxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_baxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_baxis.ShowticksuffixValidator()
-        self._validators["tick0"] = v_baxis.Tick0Validator()
-        self._validators["tickangle"] = v_baxis.TickangleValidator()
-        self._validators["tickcolor"] = v_baxis.TickcolorValidator()
-        self._validators["tickfont"] = v_baxis.TickfontValidator()
-        self._validators["tickformat"] = v_baxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_baxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_baxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_baxis.TicklenValidator()
-        self._validators["tickmode"] = v_baxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_baxis.TickprefixValidator()
-        self._validators["ticks"] = v_baxis.TicksValidator()
-        self._validators["ticksuffix"] = v_baxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_baxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_baxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_baxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_baxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_baxis.TickwidthValidator()
-        self._validators["title"] = v_baxis.TitleValidator()
-        self._validators["uirevision"] = v_baxis.UirevisionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("min", None)
-        self["min"] = min if min is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Aaxis(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets default for all colors associated with this axis all at
-        once: line, font, tick, and grid colors. Grid color is
-        lightened by blending this with the plot background Individual
-        pieces can override this.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # gridcolor
-    # ---------
-    @property
-    def gridcolor(self):
-        """
-        Sets the color of the grid lines.
-    
-        The 'gridcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["gridcolor"]
-
-    @gridcolor.setter
-    def gridcolor(self, val):
-        self["gridcolor"] = val
-
-    # gridwidth
-    # ---------
-    @property
-    def gridwidth(self):
-        """
-        Sets the width (in px) of the grid lines.
-    
-        The 'gridwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["gridwidth"]
-
-    @gridwidth.setter
-    def gridwidth(self, val):
-        self["gridwidth"] = val
-
-    # hoverformat
-    # -----------
-    @property
-    def hoverformat(self):
-        """
-        Sets the hover text formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'hoverformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hoverformat"]
-
-    @hoverformat.setter
-    def hoverformat(self, val):
-        self["hoverformat"] = val
-
-    # layer
-    # -----
-    @property
-    def layer(self):
-        """
-        Sets the layer on which this axis is displayed. If *above
-        traces*, this axis is displayed above all the subplot's traces
-        If *below traces*, this axis is displayed below all the
-        subplot's traces, but above the grid lines. Useful when used
-        together with scatter-like traces with `cliponaxis` set to
-        False to show markers and/or text nodes above this axis.
-    
-        The 'layer' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['above traces', 'below traces']
-
-        Returns
-        -------
-        Any
-        """
-        return self["layer"]
-
-    @layer.setter
-    def layer(self, val):
-        self["layer"] = val
-
-    # linecolor
-    # ---------
-    @property
-    def linecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'linecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["linecolor"]
-
-    @linecolor.setter
-    def linecolor(self, val):
-        self["linecolor"] = val
-
-    # linewidth
-    # ---------
-    @property
-    def linewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'linewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["linewidth"]
-
-    @linewidth.setter
-    def linewidth(self, val):
-        self["linewidth"] = val
-
-    # min
-    # ---
-    @property
-    def min(self):
-        """
-        The minimum value visible on this axis. The maximum is
-        determined by the sum minus the minimum values of the other two
-        axes. The full view corresponds to all the minima set to zero.
-    
-        The 'min' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["min"]
-
-    @min.setter
-    def min(self, val):
-        self["min"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showgrid
-    # --------
-    @property
-    def showgrid(self):
-        """
-        Determines whether or not grid lines are drawn. If True, the
-        grid lines are drawn at every tick mark.
-    
-        The 'showgrid' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showgrid"]
-
-    @showgrid.setter
-    def showgrid(self, val):
-        self["showgrid"] = val
-
-    # showline
-    # --------
-    @property
-    def showline(self):
-        """
-        Determines whether or not a line bounding this axis is drawn.
-    
-        The 'showline' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showline"]
-
-    @showline.setter
-    def showline(self, val):
-        self["showline"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the tick font.
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.aaxis.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.ternary.aaxis.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.ternary.aaxis.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        layout.ternary.aaxis.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this axis' title font. Note that the
-                    title's font used to be customized by the now
-                    deprecated `titlefont` attribute.
-                text
-                    Sets the title of this axis. Note that before
-                    the existence of `title.text`, the title's
-                    contents used to be defined as the `title`
-                    attribute itself. This behavior has been
-                    deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.aaxis.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use layout.ternary.aaxis.title.font instead.
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # uirevision
-    # ----------
-    @property
-    def uirevision(self):
-        """
-        Controls persistence of user-driven changes in axis `min`, and
-        `title` if in `editable: true` configuration. Defaults to
-        `ternary<N>.uirevision`.
-    
-        The 'uirevision' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["uirevision"]
-
-    @uirevision.setter
-    def uirevision(self, val):
-        self["uirevision"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        min
-            The minimum value visible on this axis. The maximum is
-            determined by the sum minus the minimum values of the
-            other two axes. The full view corresponds to all the
-            minima set to zero.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.ternary.
-            aaxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.tern
-            ary.aaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.ternary.aaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.ternary.aaxis.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.ternary.aaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min`, and `title` if in `editable: true`
-            configuration. Defaults to `ternary<N>.uirevision`.
-        """
-
-    _mapped_properties = {"titlefont": ("title", "font")}
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dtick=None,
-        exponentformat=None,
-        gridcolor=None,
-        gridwidth=None,
-        hoverformat=None,
-        layer=None,
-        linecolor=None,
-        linewidth=None,
-        min=None,
-        nticks=None,
-        separatethousands=None,
-        showexponent=None,
-        showgrid=None,
-        showline=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        uirevision=None,
-        **kwargs
-    ):
-        """
-        Construct a new Aaxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.Aaxis`
-        color
-            Sets default for all colors associated with this axis
-            all at once: line, font, tick, and grid colors. Grid
-            color is lightened by blending this with the plot
-            background Individual pieces can override this.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        gridcolor
-            Sets the color of the grid lines.
-        gridwidth
-            Sets the width (in px) of the grid lines.
-        hoverformat
-            Sets the hover text formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        layer
-            Sets the layer on which this axis is displayed. If
-            *above traces*, this axis is displayed above all the
-            subplot's traces If *below traces*, this axis is
-            displayed below all the subplot's traces, but above the
-            grid lines. Useful when used together with scatter-like
-            traces with `cliponaxis` set to False to show markers
-            and/or text nodes above this axis.
-        linecolor
-            Sets the axis line color.
-        linewidth
-            Sets the width (in px) of the axis line.
-        min
-            The minimum value visible on this axis. The maximum is
-            determined by the sum minus the minimum values of the
-            other two axes. The full view corresponds to all the
-            minima set to zero.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showgrid
-            Determines whether or not grid lines are drawn. If
-            True, the grid lines are drawn at every tick mark.
-        showline
-            Determines whether or not a line bounding this axis is
-            drawn.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the tick font.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.layout.ternary.
-            aaxis.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.layout.tern
-            ary.aaxis.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            layout.ternary.aaxis.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.layout.ternary.aaxis.Title
-            ` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use layout.ternary.aaxis.title.font
-            instead. Sets this axis' title font. Note that the
-            title's font used to be customized by the now
-            deprecated `titlefont` attribute.
-        uirevision
-            Controls persistence of user-driven changes in axis
-            `min`, and `title` if in `editable: true`
-            configuration. Defaults to `ternary<N>.uirevision`.
-
-        Returns
-        -------
-        Aaxis
-        """
-        super(Aaxis, self).__init__("aaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.Aaxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.Aaxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary import aaxis as v_aaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_aaxis.ColorValidator()
-        self._validators["dtick"] = v_aaxis.DtickValidator()
-        self._validators["exponentformat"] = v_aaxis.ExponentformatValidator()
-        self._validators["gridcolor"] = v_aaxis.GridcolorValidator()
-        self._validators["gridwidth"] = v_aaxis.GridwidthValidator()
-        self._validators["hoverformat"] = v_aaxis.HoverformatValidator()
-        self._validators["layer"] = v_aaxis.LayerValidator()
-        self._validators["linecolor"] = v_aaxis.LinecolorValidator()
-        self._validators["linewidth"] = v_aaxis.LinewidthValidator()
-        self._validators["min"] = v_aaxis.MinValidator()
-        self._validators["nticks"] = v_aaxis.NticksValidator()
-        self._validators["separatethousands"] = v_aaxis.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_aaxis.ShowexponentValidator()
-        self._validators["showgrid"] = v_aaxis.ShowgridValidator()
-        self._validators["showline"] = v_aaxis.ShowlineValidator()
-        self._validators["showticklabels"] = v_aaxis.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_aaxis.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_aaxis.ShowticksuffixValidator()
-        self._validators["tick0"] = v_aaxis.Tick0Validator()
-        self._validators["tickangle"] = v_aaxis.TickangleValidator()
-        self._validators["tickcolor"] = v_aaxis.TickcolorValidator()
-        self._validators["tickfont"] = v_aaxis.TickfontValidator()
-        self._validators["tickformat"] = v_aaxis.TickformatValidator()
-        self._validators["tickformatstops"] = v_aaxis.TickformatstopsValidator()
-        self._validators["tickformatstopdefaults"] = v_aaxis.TickformatstopValidator()
-        self._validators["ticklen"] = v_aaxis.TicklenValidator()
-        self._validators["tickmode"] = v_aaxis.TickmodeValidator()
-        self._validators["tickprefix"] = v_aaxis.TickprefixValidator()
-        self._validators["ticks"] = v_aaxis.TicksValidator()
-        self._validators["ticksuffix"] = v_aaxis.TicksuffixValidator()
-        self._validators["ticktext"] = v_aaxis.TicktextValidator()
-        self._validators["ticktextsrc"] = v_aaxis.TicktextsrcValidator()
-        self._validators["tickvals"] = v_aaxis.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_aaxis.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_aaxis.TickwidthValidator()
-        self._validators["title"] = v_aaxis.TitleValidator()
-        self._validators["uirevision"] = v_aaxis.UirevisionValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("gridcolor", None)
-        self["gridcolor"] = gridcolor if gridcolor is not None else _v
-        _v = arg.pop("gridwidth", None)
-        self["gridwidth"] = gridwidth if gridwidth is not None else _v
-        _v = arg.pop("hoverformat", None)
-        self["hoverformat"] = hoverformat if hoverformat is not None else _v
-        _v = arg.pop("layer", None)
-        self["layer"] = layer if layer is not None else _v
-        _v = arg.pop("linecolor", None)
-        self["linecolor"] = linecolor if linecolor is not None else _v
-        _v = arg.pop("linewidth", None)
-        self["linewidth"] = linewidth if linewidth is not None else _v
-        _v = arg.pop("min", None)
-        self["min"] = min if min is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showgrid", None)
-        self["showgrid"] = showgrid if showgrid is not None else _v
-        _v = arg.pop("showline", None)
-        self["showline"] = showline if showline is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("uirevision", None)
-        self["uirevision"] = uirevision if uirevision is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Aaxis", "Baxis", "Caxis", "Domain", "aaxis", "baxis", "caxis"]
-
-from plotly.graph_objs.layout.ternary import caxis
-from plotly.graph_objs.layout.ternary import baxis
-from plotly.graph_objs.layout.ternary import aaxis
+import sys
+
+if sys.version_info < (3, 7):
+    from ._domain import Domain
+    from ._caxis import Caxis
+    from ._baxis import Baxis
+    from ._aaxis import Aaxis
+    from . import caxis
+    from . import baxis
+    from . import aaxis
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".caxis", ".baxis", ".aaxis"],
+        ["._domain.Domain", "._caxis.Caxis", "._baxis.Baxis", "._aaxis.Aaxis"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/_aaxis.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/_aaxis.py
new file mode 100644
index 00000000000..70ff4a88731
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/_aaxis.py
@@ -0,0 +1,1793 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Aaxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary"
+    _path_str = "layout.ternary.aaxis"
+    _valid_props = {
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "min",
+        "nticks",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "uirevision",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # min
+    # ---
+    @property
+    def min(self):
+        """
+        The minimum value visible on this axis. The maximum is
+        determined by the sum minus the minimum values of the other two
+        axes. The full view corresponds to all the minima set to zero.
+    
+        The 'min' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["min"]
+
+    @min.setter
+    def min(self, val):
+        self["min"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.aaxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.ternary.aaxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.ternary.aaxis.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        layout.ternary.aaxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.aaxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.ternary.aaxis.title.font instead.
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `min`, and
+        `title` if in `editable: true` configuration. Defaults to
+        `ternary<N>.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        min
+            The minimum value visible on this axis. The maximum is
+            determined by the sum minus the minimum values of the
+            other two axes. The full view corresponds to all the
+            minima set to zero.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.ternary.
+            aaxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.tern
+            ary.aaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.ternary.aaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.ternary.aaxis.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.ternary.aaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min`, and `title` if in `editable: true`
+            configuration. Defaults to `ternary<N>.uirevision`.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        min=None,
+        nticks=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        uirevision=None,
+        **kwargs
+    ):
+        """
+        Construct a new Aaxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.Aaxis`
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        min
+            The minimum value visible on this axis. The maximum is
+            determined by the sum minus the minimum values of the
+            other two axes. The full view corresponds to all the
+            minima set to zero.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.ternary.
+            aaxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.tern
+            ary.aaxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.ternary.aaxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.ternary.aaxis.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.ternary.aaxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min`, and `title` if in `editable: true`
+            configuration. Defaults to `ternary<N>.uirevision`.
+
+        Returns
+        -------
+        Aaxis
+        """
+        super(Aaxis, self).__init__("aaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.Aaxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.Aaxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("min", None)
+        _v = min if min is not None else _v
+        if _v is not None:
+            self["min"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/_baxis.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/_baxis.py
new file mode 100644
index 00000000000..c916bb05e50
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/_baxis.py
@@ -0,0 +1,1793 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Baxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary"
+    _path_str = "layout.ternary.baxis"
+    _valid_props = {
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "min",
+        "nticks",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "uirevision",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # min
+    # ---
+    @property
+    def min(self):
+        """
+        The minimum value visible on this axis. The maximum is
+        determined by the sum minus the minimum values of the other two
+        axes. The full view corresponds to all the minima set to zero.
+    
+        The 'min' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["min"]
+
+    @min.setter
+    def min(self, val):
+        self["min"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.baxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.ternary.baxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.ternary.baxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.ternary.baxis.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        layout.ternary.baxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.baxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.baxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.ternary.baxis.title.font instead.
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `min`, and
+        `title` if in `editable: true` configuration. Defaults to
+        `ternary<N>.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        min
+            The minimum value visible on this axis. The maximum is
+            determined by the sum minus the minimum values of the
+            other two axes. The full view corresponds to all the
+            minima set to zero.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.ternary.
+            baxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.tern
+            ary.baxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.ternary.baxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.ternary.baxis.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.ternary.baxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min`, and `title` if in `editable: true`
+            configuration. Defaults to `ternary<N>.uirevision`.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        min=None,
+        nticks=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        uirevision=None,
+        **kwargs
+    ):
+        """
+        Construct a new Baxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.Baxis`
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        min
+            The minimum value visible on this axis. The maximum is
+            determined by the sum minus the minimum values of the
+            other two axes. The full view corresponds to all the
+            minima set to zero.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.ternary.
+            baxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.tern
+            ary.baxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.ternary.baxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.ternary.baxis.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.ternary.baxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min`, and `title` if in `editable: true`
+            configuration. Defaults to `ternary<N>.uirevision`.
+
+        Returns
+        -------
+        Baxis
+        """
+        super(Baxis, self).__init__("baxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.Baxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.Baxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("min", None)
+        _v = min if min is not None else _v
+        if _v is not None:
+            self["min"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/_caxis.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/_caxis.py
new file mode 100644
index 00000000000..30ae9ea72d5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/_caxis.py
@@ -0,0 +1,1793 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Caxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary"
+    _path_str = "layout.ternary.caxis"
+    _valid_props = {
+        "color",
+        "dtick",
+        "exponentformat",
+        "gridcolor",
+        "gridwidth",
+        "hoverformat",
+        "layer",
+        "linecolor",
+        "linewidth",
+        "min",
+        "nticks",
+        "separatethousands",
+        "showexponent",
+        "showgrid",
+        "showline",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "uirevision",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets default for all colors associated with this axis all at
+        once: line, font, tick, and grid colors. Grid color is
+        lightened by blending this with the plot background Individual
+        pieces can override this.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # gridcolor
+    # ---------
+    @property
+    def gridcolor(self):
+        """
+        Sets the color of the grid lines.
+    
+        The 'gridcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["gridcolor"]
+
+    @gridcolor.setter
+    def gridcolor(self, val):
+        self["gridcolor"] = val
+
+    # gridwidth
+    # ---------
+    @property
+    def gridwidth(self):
+        """
+        Sets the width (in px) of the grid lines.
+    
+        The 'gridwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["gridwidth"]
+
+    @gridwidth.setter
+    def gridwidth(self, val):
+        self["gridwidth"] = val
+
+    # hoverformat
+    # -----------
+    @property
+    def hoverformat(self):
+        """
+        Sets the hover text formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'hoverformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hoverformat"]
+
+    @hoverformat.setter
+    def hoverformat(self, val):
+        self["hoverformat"] = val
+
+    # layer
+    # -----
+    @property
+    def layer(self):
+        """
+        Sets the layer on which this axis is displayed. If *above
+        traces*, this axis is displayed above all the subplot's traces
+        If *below traces*, this axis is displayed below all the
+        subplot's traces, but above the grid lines. Useful when used
+        together with scatter-like traces with `cliponaxis` set to
+        False to show markers and/or text nodes above this axis.
+    
+        The 'layer' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['above traces', 'below traces']
+
+        Returns
+        -------
+        Any
+        """
+        return self["layer"]
+
+    @layer.setter
+    def layer(self, val):
+        self["layer"] = val
+
+    # linecolor
+    # ---------
+    @property
+    def linecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'linecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["linecolor"]
+
+    @linecolor.setter
+    def linecolor(self, val):
+        self["linecolor"] = val
+
+    # linewidth
+    # ---------
+    @property
+    def linewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'linewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["linewidth"]
+
+    @linewidth.setter
+    def linewidth(self, val):
+        self["linewidth"] = val
+
+    # min
+    # ---
+    @property
+    def min(self):
+        """
+        The minimum value visible on this axis. The maximum is
+        determined by the sum minus the minimum values of the other two
+        axes. The full view corresponds to all the minima set to zero.
+    
+        The 'min' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["min"]
+
+    @min.setter
+    def min(self, val):
+        self["min"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showgrid
+    # --------
+    @property
+    def showgrid(self):
+        """
+        Determines whether or not grid lines are drawn. If True, the
+        grid lines are drawn at every tick mark.
+    
+        The 'showgrid' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showgrid"]
+
+    @showgrid.setter
+    def showgrid(self, val):
+        self["showgrid"] = val
+
+    # showline
+    # --------
+    @property
+    def showline(self):
+        """
+        Determines whether or not a line bounding this axis is drawn.
+    
+        The 'showline' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showline"]
+
+    @showline.setter
+    def showline(self, val):
+        self["showline"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the tick font.
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.caxis.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.ternary.caxis.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.ternary.caxis.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.ternary.caxis.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        layout.ternary.caxis.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.caxis.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this axis' title font. Note that the
+                    title's font used to be customized by the now
+                    deprecated `titlefont` attribute.
+                text
+                    Sets the title of this axis. Note that before
+                    the existence of `title.text`, the title's
+                    contents used to be defined as the `title`
+                    attribute itself. This behavior has been
+                    deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.caxis.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use layout.ternary.caxis.title.font instead.
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # uirevision
+    # ----------
+    @property
+    def uirevision(self):
+        """
+        Controls persistence of user-driven changes in axis `min`, and
+        `title` if in `editable: true` configuration. Defaults to
+        `ternary<N>.uirevision`.
+    
+        The 'uirevision' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["uirevision"]
+
+    @uirevision.setter
+    def uirevision(self, val):
+        self["uirevision"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        min
+            The minimum value visible on this axis. The maximum is
+            determined by the sum minus the minimum values of the
+            other two axes. The full view corresponds to all the
+            minima set to zero.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.ternary.
+            caxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.tern
+            ary.caxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.ternary.caxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.ternary.caxis.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.ternary.caxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min`, and `title` if in `editable: true`
+            configuration. Defaults to `ternary<N>.uirevision`.
+        """
+
+    _mapped_properties = {"titlefont": ("title", "font")}
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dtick=None,
+        exponentformat=None,
+        gridcolor=None,
+        gridwidth=None,
+        hoverformat=None,
+        layer=None,
+        linecolor=None,
+        linewidth=None,
+        min=None,
+        nticks=None,
+        separatethousands=None,
+        showexponent=None,
+        showgrid=None,
+        showline=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        uirevision=None,
+        **kwargs
+    ):
+        """
+        Construct a new Caxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.Caxis`
+        color
+            Sets default for all colors associated with this axis
+            all at once: line, font, tick, and grid colors. Grid
+            color is lightened by blending this with the plot
+            background Individual pieces can override this.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        gridcolor
+            Sets the color of the grid lines.
+        gridwidth
+            Sets the width (in px) of the grid lines.
+        hoverformat
+            Sets the hover text formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        layer
+            Sets the layer on which this axis is displayed. If
+            *above traces*, this axis is displayed above all the
+            subplot's traces If *below traces*, this axis is
+            displayed below all the subplot's traces, but above the
+            grid lines. Useful when used together with scatter-like
+            traces with `cliponaxis` set to False to show markers
+            and/or text nodes above this axis.
+        linecolor
+            Sets the axis line color.
+        linewidth
+            Sets the width (in px) of the axis line.
+        min
+            The minimum value visible on this axis. The maximum is
+            determined by the sum minus the minimum values of the
+            other two axes. The full view corresponds to all the
+            minima set to zero.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showgrid
+            Determines whether or not grid lines are drawn. If
+            True, the grid lines are drawn at every tick mark.
+        showline
+            Determines whether or not a line bounding this axis is
+            drawn.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the tick font.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.layout.ternary.
+            caxis.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.layout.tern
+            ary.caxis.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            layout.ternary.caxis.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.layout.ternary.caxis.Title
+            ` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use layout.ternary.caxis.title.font
+            instead. Sets this axis' title font. Note that the
+            title's font used to be customized by the now
+            deprecated `titlefont` attribute.
+        uirevision
+            Controls persistence of user-driven changes in axis
+            `min`, and `title` if in `editable: true`
+            configuration. Defaults to `ternary<N>.uirevision`.
+
+        Returns
+        -------
+        Caxis
+        """
+        super(Caxis, self).__init__("caxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.Caxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.Caxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("gridcolor", None)
+        _v = gridcolor if gridcolor is not None else _v
+        if _v is not None:
+            self["gridcolor"] = _v
+        _v = arg.pop("gridwidth", None)
+        _v = gridwidth if gridwidth is not None else _v
+        if _v is not None:
+            self["gridwidth"] = _v
+        _v = arg.pop("hoverformat", None)
+        _v = hoverformat if hoverformat is not None else _v
+        if _v is not None:
+            self["hoverformat"] = _v
+        _v = arg.pop("layer", None)
+        _v = layer if layer is not None else _v
+        if _v is not None:
+            self["layer"] = _v
+        _v = arg.pop("linecolor", None)
+        _v = linecolor if linecolor is not None else _v
+        if _v is not None:
+            self["linecolor"] = _v
+        _v = arg.pop("linewidth", None)
+        _v = linewidth if linewidth is not None else _v
+        if _v is not None:
+            self["linewidth"] = _v
+        _v = arg.pop("min", None)
+        _v = min if min is not None else _v
+        if _v is not None:
+            self["min"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showgrid", None)
+        _v = showgrid if showgrid is not None else _v
+        if _v is not None:
+            self["showgrid"] = _v
+        _v = arg.pop("showline", None)
+        _v = showline if showline is not None else _v
+        if _v is not None:
+            self["showline"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("uirevision", None)
+        _v = uirevision if uirevision is not None else _v
+        if _v is not None:
+            self["uirevision"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/_domain.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/_domain.py
new file mode 100644
index 00000000000..577186f929a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary"
+    _path_str = "layout.ternary.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this ternary subplot .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this ternary subplot .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this ternary subplot (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this ternary subplot (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this ternary subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this ternary subplot .
+        x
+            Sets the horizontal domain of this ternary subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this ternary subplot (in
+            plot fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this ternary subplot .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this ternary subplot .
+        x
+            Sets the horizontal domain of this ternary subplot (in
+            plot fraction).
+        y
+            Sets the vertical domain of this ternary subplot (in
+            plot fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/__init__.py
index 5f57bb595aa..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.aaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.aaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.aaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.aaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.aaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .aaxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.aaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.aaxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.aaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .aaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.aaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.aaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.ternary.aaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_tickfont.py
new file mode 100644
index 00000000000..3c6437ef625
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.aaxis"
+    _path_str = "layout.ternary.aaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .aaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.aaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_tickformatstop.py
new file mode 100644
index 00000000000..7c52597d55f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.aaxis"
+    _path_str = "layout.ternary.aaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .aaxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.aaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_title.py
new file mode 100644
index 00000000000..54d6a1b5076
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.aaxis"
+    _path_str = "layout.ternary.aaxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.aaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.aaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/__init__.py
index d2200e850bc..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.aaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .aaxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.aaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.aaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/_font.py
new file mode 100644
index 00000000000..91201aef3e8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/aaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.aaxis.title"
+    _path_str = "layout.ternary.aaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .aaxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.aaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.aaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/__init__.py
index 818ea813585..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.baxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.baxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.baxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.baxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.baxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.baxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.baxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .baxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.baxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.baxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.baxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .baxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.baxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.baxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.ternary.baxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_tickfont.py
new file mode 100644
index 00000000000..faa80771b73
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.baxis"
+    _path_str = "layout.ternary.baxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .baxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.baxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_tickformatstop.py
new file mode 100644
index 00000000000..85f4ef6f66d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.baxis"
+    _path_str = "layout.ternary.baxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .baxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.baxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.baxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_title.py
new file mode 100644
index 00000000000..91cdd5275b2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.baxis"
+    _path_str = "layout.ternary.baxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.baxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.baxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.baxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.baxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.baxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/__init__.py
index a1239d4c64a..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.baxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .baxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.baxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.baxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.baxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/_font.py
new file mode 100644
index 00000000000..bd817cc017d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/baxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.baxis.title"
+    _path_str = "layout.ternary.baxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .baxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.baxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.baxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/__init__.py
index bc0e9a3db4d..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/__init__.py
@@ -1,688 +1,15 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.ternary.caxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.caxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.ternary.caxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.caxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.caxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.caxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.caxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .caxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.caxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.caxis import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.caxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .caxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.caxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.caxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.layout.ternary.caxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_tickfont.py
new file mode 100644
index 00000000000..96391226ff9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.caxis"
+    _path_str = "layout.ternary.caxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .caxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.caxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_tickformatstop.py
new file mode 100644
index 00000000000..60994cbe707
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.caxis"
+    _path_str = "layout.ternary.caxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .caxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.caxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.caxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_title.py
new file mode 100644
index 00000000000..d8ca6dac912
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/_title.py
@@ -0,0 +1,166 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.caxis"
+    _path_str = "layout.ternary.caxis.title"
+    _valid_props = {"font", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.ternary.caxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.ternary.caxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.ternary.caxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.caxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.caxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/__init__.py
index 9196bc15ba1..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.ternary.caxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.ternary
-            .caxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.ternary.caxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.ternary.caxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.ternary.caxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/_font.py
new file mode 100644
index 00000000000..34cd0bb8cf0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/ternary/caxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.ternary.caxis.title"
+    _path_str = "layout.ternary.caxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.ternary
+            .caxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.ternary.caxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.ternary.caxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/title/__init__.py
index 53f9a18be2f..cd4cff580b1 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/title/__init__.py
@@ -1,431 +1,11 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._pad import Pad
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Pad(_BaseLayoutHierarchyType):
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        The amount of padding (in px) along the bottom of the
-        component.
-    
-        The 'b' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # l
-    # -
-    @property
-    def l(self):
-        """
-        The amount of padding (in px) on the left side of the
-        component.
-    
-        The 'l' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["l"]
-
-    @l.setter
-    def l(self, val):
-        self["l"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        The amount of padding (in px) on the right side of the
-        component.
-    
-        The 'r' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        The amount of padding (in px) along the top of the component.
-    
-        The 't' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        b
-            The amount of padding (in px) along the bottom of the
-            component.
-        l
-            The amount of padding (in px) on the left side of the
-            component.
-        r
-            The amount of padding (in px) on the right side of the
-            component.
-        t
-            The amount of padding (in px) along the top of the
-            component.
-        """
-
-    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
-        """
-        Construct a new Pad object
-        
-        Sets the padding of the title. Each padding value only applies
-        when the corresponding `xanchor`/`yanchor` value is set
-        accordingly. E.g. for left padding to take effect, `xanchor`
-        must be set to "left". The same rule applies if
-        `xanchor`/`yanchor` is determined automatically. Padding is
-        muted if the respective anchor value is "middle*/*center".
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.title.Pad`
-        b
-            The amount of padding (in px) along the bottom of the
-            component.
-        l
-            The amount of padding (in px) on the left side of the
-            component.
-        r
-            The amount of padding (in px) on the right side of the
-            component.
-        t
-            The amount of padding (in px) along the top of the
-            component.
-
-        Returns
-        -------
-        Pad
-        """
-        super(Pad, self).__init__("pad")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.title.Pad 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.title.Pad`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.title import pad as v_pad
-
-        # Initialize validators
-        # ---------------------
-        self._validators["b"] = v_pad.BValidator()
-        self._validators["l"] = v_pad.LValidator()
-        self._validators["r"] = v_pad.RValidator()
-        self._validators["t"] = v_pad.TValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("l", None)
-        self["l"] = l if l is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the title font. Note that the title's font used to be
-        customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font", "Pad"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._pad.Pad", "._font.Font"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/title/_font.py
new file mode 100644
index 00000000000..fe292cba640
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.title"
+    _path_str = "layout.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the title font. Note that the title's font used to be
+        customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/title/_pad.py b/packages/python/plotly/plotly/graph_objs/layout/title/_pad.py
new file mode 100644
index 00000000000..335997afb95
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/title/_pad.py
@@ -0,0 +1,200 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Pad(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.title"
+    _path_str = "layout.title.pad"
+    _valid_props = {"b", "l", "r", "t"}
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        The amount of padding (in px) along the bottom of the
+        component.
+    
+        The 'b' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # l
+    # -
+    @property
+    def l(self):
+        """
+        The amount of padding (in px) on the left side of the
+        component.
+    
+        The 'l' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["l"]
+
+    @l.setter
+    def l(self, val):
+        self["l"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        The amount of padding (in px) on the right side of the
+        component.
+    
+        The 'r' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        The amount of padding (in px) along the top of the component.
+    
+        The 't' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        b
+            The amount of padding (in px) along the bottom of the
+            component.
+        l
+            The amount of padding (in px) on the left side of the
+            component.
+        r
+            The amount of padding (in px) on the right side of the
+            component.
+        t
+            The amount of padding (in px) along the top of the
+            component.
+        """
+
+    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
+        """
+        Construct a new Pad object
+        
+        Sets the padding of the title. Each padding value only applies
+        when the corresponding `xanchor`/`yanchor` value is set
+        accordingly. E.g. for left padding to take effect, `xanchor`
+        must be set to "left". The same rule applies if
+        `xanchor`/`yanchor` is determined automatically. Padding is
+        muted if the respective anchor value is "middle*/*center".
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.title.Pad`
+        b
+            The amount of padding (in px) along the bottom of the
+            component.
+        l
+            The amount of padding (in px) on the left side of the
+            component.
+        r
+            The amount of padding (in px) on the right side of the
+            component.
+        t
+            The amount of padding (in px) along the top of the
+            component.
+
+        Returns
+        -------
+        Pad
+        """
+        super(Pad, self).__init__("pad")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.title.Pad 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.title.Pad`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("l", None)
+        _v = l if l is not None else _v
+        if _v is not None:
+            self["l"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/updatemenu/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/__init__.py
index 57c63d44d4e..b62ebf46f26 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/updatemenu/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/__init__.py
@@ -1,830 +1,12 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Pad(_BaseLayoutHierarchyType):
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        The amount of padding (in px) along the bottom of the
-        component.
-    
-        The 'b' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # l
-    # -
-    @property
-    def l(self):
-        """
-        The amount of padding (in px) on the left side of the
-        component.
-    
-        The 'l' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["l"]
-
-    @l.setter
-    def l(self, val):
-        self["l"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        The amount of padding (in px) on the right side of the
-        component.
-    
-        The 'r' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        The amount of padding (in px) along the top of the component.
-    
-        The 't' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.updatemenu"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        b
-            The amount of padding (in px) along the bottom of the
-            component.
-        l
-            The amount of padding (in px) on the left side of the
-            component.
-        r
-            The amount of padding (in px) on the right side of the
-            component.
-        t
-            The amount of padding (in px) along the top of the
-            component.
-        """
-
-    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
-        """
-        Construct a new Pad object
-        
-        Sets the padding around the buttons or dropdown menu.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.updatemenu.Pad`
-        b
-            The amount of padding (in px) along the bottom of the
-            component.
-        l
-            The amount of padding (in px) on the left side of the
-            component.
-        r
-            The amount of padding (in px) on the right side of the
-            component.
-        t
-            The amount of padding (in px) along the top of the
-            component.
-
-        Returns
-        -------
-        Pad
-        """
-        super(Pad, self).__init__("pad")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.updatemenu.Pad 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.updatemenu.Pad`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.updatemenu import pad as v_pad
-
-        # Initialize validators
-        # ---------------------
-        self._validators["b"] = v_pad.BValidator()
-        self._validators["l"] = v_pad.LValidator()
-        self._validators["r"] = v_pad.RValidator()
-        self._validators["t"] = v_pad.TValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("l", None)
-        self["l"] = l if l is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.updatemenu"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the font of the update menu button text.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.updatemenu.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.updatemenu.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.updatemenu.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.updatemenu import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Button(_BaseLayoutHierarchyType):
-
-    # args
-    # ----
-    @property
-    def args(self):
-        """
-        Sets the arguments values to be passed to the Plotly method set
-        in `method` on click.
-    
-        The 'args' property is an info array that may be specified as:
-    
-        * a list or tuple of up to 3 elements where:
-    (0) The 'args[0]' property accepts values of any type
-    (1) The 'args[1]' property accepts values of any type
-    (2) The 'args[2]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["args"]
-
-    @args.setter
-    def args(self, val):
-        self["args"] = val
-
-    # args2
-    # -----
-    @property
-    def args2(self):
-        """
-        Sets a 2nd set of `args`, these arguments values are passed to
-        the Plotly method set in `method` when clicking this button
-        while in the active state. Use this to create toggle buttons.
-    
-        The 'args2' property is an info array that may be specified as:
-    
-        * a list or tuple of up to 3 elements where:
-    (0) The 'args2[0]' property accepts values of any type
-    (1) The 'args2[1]' property accepts values of any type
-    (2) The 'args2[2]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["args2"]
-
-    @args2.setter
-    def args2(self, val):
-        self["args2"] = val
-
-    # execute
-    # -------
-    @property
-    def execute(self):
-        """
-        When true, the API method is executed. When false, all other
-        behaviors are the same and command execution is skipped. This
-        may be useful when hooking into, for example, the
-        `plotly_buttonclicked` method and executing the API command
-        manually without losing the benefit of the updatemenu
-        automatically binding to the state of the plot through the
-        specification of `method` and `args`.
-    
-        The 'execute' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["execute"]
-
-    @execute.setter
-    def execute(self, val):
-        self["execute"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        Sets the text label to appear on the button.
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # method
-    # ------
-    @property
-    def method(self):
-        """
-        Sets the Plotly method to be called on click. If the `skip`
-        method is used, the API updatemenu will function as normal but
-        will perform no API calls and will not bind automatically to
-        state updates. This may be used to create a component interface
-        and attach to updatemenu events manually via JavaScript.
-    
-        The 'method' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['restyle', 'relayout', 'animate', 'update', 'skip']
-
-        Returns
-        -------
-        Any
-        """
-        return self["method"]
-
-    @method.setter
-    def method(self, val):
-        self["method"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this button is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.updatemenu"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        args
-            Sets the arguments values to be passed to the Plotly
-            method set in `method` on click.
-        args2
-            Sets a 2nd set of `args`, these arguments values are
-            passed to the Plotly method set in `method` when
-            clicking this button while in the active state. Use
-            this to create toggle buttons.
-        execute
-            When true, the API method is executed. When false, all
-            other behaviors are the same and command execution is
-            skipped. This may be useful when hooking into, for
-            example, the `plotly_buttonclicked` method and
-            executing the API command manually without losing the
-            benefit of the updatemenu automatically binding to the
-            state of the plot through the specification of `method`
-            and `args`.
-        label
-            Sets the text label to appear on the button.
-        method
-            Sets the Plotly method to be called on click. If the
-            `skip` method is used, the API updatemenu will function
-            as normal but will perform no API calls and will not
-            bind automatically to state updates. This may be used
-            to create a component interface and attach to
-            updatemenu events manually via JavaScript.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        visible
-            Determines whether or not this button is visible.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        args=None,
-        args2=None,
-        execute=None,
-        label=None,
-        method=None,
-        name=None,
-        templateitemname=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Button object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.updatemenu.Button`
-        args
-            Sets the arguments values to be passed to the Plotly
-            method set in `method` on click.
-        args2
-            Sets a 2nd set of `args`, these arguments values are
-            passed to the Plotly method set in `method` when
-            clicking this button while in the active state. Use
-            this to create toggle buttons.
-        execute
-            When true, the API method is executed. When false, all
-            other behaviors are the same and command execution is
-            skipped. This may be useful when hooking into, for
-            example, the `plotly_buttonclicked` method and
-            executing the API command manually without losing the
-            benefit of the updatemenu automatically binding to the
-            state of the plot through the specification of `method`
-            and `args`.
-        label
-            Sets the text label to appear on the button.
-        method
-            Sets the Plotly method to be called on click. If the
-            `skip` method is used, the API updatemenu will function
-            as normal but will perform no API calls and will not
-            bind automatically to state updates. This may be used
-            to create a component interface and attach to
-            updatemenu events manually via JavaScript.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        visible
-            Determines whether or not this button is visible.
-
-        Returns
-        -------
-        Button
-        """
-        super(Button, self).__init__("buttons")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.updatemenu.Button 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.updatemenu.Button`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.updatemenu import button as v_button
-
-        # Initialize validators
-        # ---------------------
-        self._validators["args"] = v_button.ArgsValidator()
-        self._validators["args2"] = v_button.Args2Validator()
-        self._validators["execute"] = v_button.ExecuteValidator()
-        self._validators["label"] = v_button.LabelValidator()
-        self._validators["method"] = v_button.MethodValidator()
-        self._validators["name"] = v_button.NameValidator()
-        self._validators["templateitemname"] = v_button.TemplateitemnameValidator()
-        self._validators["visible"] = v_button.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("args", None)
-        self["args"] = args if args is not None else _v
-        _v = arg.pop("args2", None)
-        self["args2"] = args2 if args2 is not None else _v
-        _v = arg.pop("execute", None)
-        self["execute"] = execute if execute is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("method", None)
-        self["method"] = method if method is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Button", "Button", "Font", "Pad"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._pad import Pad
+    from ._font import Font
+    from ._button import Button
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._pad.Pad", "._font.Font", "._button.Button"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_button.py b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_button.py
new file mode 100644
index 00000000000..ccb4618ac4a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_button.py
@@ -0,0 +1,415 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Button(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.updatemenu"
+    _path_str = "layout.updatemenu.button"
+    _valid_props = {
+        "args",
+        "args2",
+        "execute",
+        "label",
+        "method",
+        "name",
+        "templateitemname",
+        "visible",
+    }
+
+    # args
+    # ----
+    @property
+    def args(self):
+        """
+        Sets the arguments values to be passed to the Plotly method set
+        in `method` on click.
+    
+        The 'args' property is an info array that may be specified as:
+    
+        * a list or tuple of up to 3 elements where:
+    (0) The 'args[0]' property accepts values of any type
+    (1) The 'args[1]' property accepts values of any type
+    (2) The 'args[2]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["args"]
+
+    @args.setter
+    def args(self, val):
+        self["args"] = val
+
+    # args2
+    # -----
+    @property
+    def args2(self):
+        """
+        Sets a 2nd set of `args`, these arguments values are passed to
+        the Plotly method set in `method` when clicking this button
+        while in the active state. Use this to create toggle buttons.
+    
+        The 'args2' property is an info array that may be specified as:
+    
+        * a list or tuple of up to 3 elements where:
+    (0) The 'args2[0]' property accepts values of any type
+    (1) The 'args2[1]' property accepts values of any type
+    (2) The 'args2[2]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["args2"]
+
+    @args2.setter
+    def args2(self, val):
+        self["args2"] = val
+
+    # execute
+    # -------
+    @property
+    def execute(self):
+        """
+        When true, the API method is executed. When false, all other
+        behaviors are the same and command execution is skipped. This
+        may be useful when hooking into, for example, the
+        `plotly_buttonclicked` method and executing the API command
+        manually without losing the benefit of the updatemenu
+        automatically binding to the state of the plot through the
+        specification of `method` and `args`.
+    
+        The 'execute' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["execute"]
+
+    @execute.setter
+    def execute(self, val):
+        self["execute"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        Sets the text label to appear on the button.
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # method
+    # ------
+    @property
+    def method(self):
+        """
+        Sets the Plotly method to be called on click. If the `skip`
+        method is used, the API updatemenu will function as normal but
+        will perform no API calls and will not bind automatically to
+        state updates. This may be used to create a component interface
+        and attach to updatemenu events manually via JavaScript.
+    
+        The 'method' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['restyle', 'relayout', 'animate', 'update', 'skip']
+
+        Returns
+        -------
+        Any
+        """
+        return self["method"]
+
+    @method.setter
+    def method(self, val):
+        self["method"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this button is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        args
+            Sets the arguments values to be passed to the Plotly
+            method set in `method` on click.
+        args2
+            Sets a 2nd set of `args`, these arguments values are
+            passed to the Plotly method set in `method` when
+            clicking this button while in the active state. Use
+            this to create toggle buttons.
+        execute
+            When true, the API method is executed. When false, all
+            other behaviors are the same and command execution is
+            skipped. This may be useful when hooking into, for
+            example, the `plotly_buttonclicked` method and
+            executing the API command manually without losing the
+            benefit of the updatemenu automatically binding to the
+            state of the plot through the specification of `method`
+            and `args`.
+        label
+            Sets the text label to appear on the button.
+        method
+            Sets the Plotly method to be called on click. If the
+            `skip` method is used, the API updatemenu will function
+            as normal but will perform no API calls and will not
+            bind automatically to state updates. This may be used
+            to create a component interface and attach to
+            updatemenu events manually via JavaScript.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        visible
+            Determines whether or not this button is visible.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        args=None,
+        args2=None,
+        execute=None,
+        label=None,
+        method=None,
+        name=None,
+        templateitemname=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Button object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.updatemenu.Button`
+        args
+            Sets the arguments values to be passed to the Plotly
+            method set in `method` on click.
+        args2
+            Sets a 2nd set of `args`, these arguments values are
+            passed to the Plotly method set in `method` when
+            clicking this button while in the active state. Use
+            this to create toggle buttons.
+        execute
+            When true, the API method is executed. When false, all
+            other behaviors are the same and command execution is
+            skipped. This may be useful when hooking into, for
+            example, the `plotly_buttonclicked` method and
+            executing the API command manually without losing the
+            benefit of the updatemenu automatically binding to the
+            state of the plot through the specification of `method`
+            and `args`.
+        label
+            Sets the text label to appear on the button.
+        method
+            Sets the Plotly method to be called on click. If the
+            `skip` method is used, the API updatemenu will function
+            as normal but will perform no API calls and will not
+            bind automatically to state updates. This may be used
+            to create a component interface and attach to
+            updatemenu events manually via JavaScript.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        visible
+            Determines whether or not this button is visible.
+
+        Returns
+        -------
+        Button
+        """
+        super(Button, self).__init__("buttons")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.updatemenu.Button 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.updatemenu.Button`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("args", None)
+        _v = args if args is not None else _v
+        if _v is not None:
+            self["args"] = _v
+        _v = arg.pop("args2", None)
+        _v = args2 if args2 is not None else _v
+        if _v is not None:
+            self["args2"] = _v
+        _v = arg.pop("execute", None)
+        _v = execute if execute is not None else _v
+        if _v is not None:
+            self["execute"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("method", None)
+        _v = method if method is not None else _v
+        if _v is not None:
+            self["method"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_font.py b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_font.py
new file mode 100644
index 00000000000..72aec658542
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.updatemenu"
+    _path_str = "layout.updatemenu.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the font of the update menu button text.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.updatemenu.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.updatemenu.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.updatemenu.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_pad.py b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_pad.py
new file mode 100644
index 00000000000..cda763cf3f1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/updatemenu/_pad.py
@@ -0,0 +1,195 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Pad(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.updatemenu"
+    _path_str = "layout.updatemenu.pad"
+    _valid_props = {"b", "l", "r", "t"}
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        The amount of padding (in px) along the bottom of the
+        component.
+    
+        The 'b' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # l
+    # -
+    @property
+    def l(self):
+        """
+        The amount of padding (in px) on the left side of the
+        component.
+    
+        The 'l' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["l"]
+
+    @l.setter
+    def l(self, val):
+        self["l"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        The amount of padding (in px) on the right side of the
+        component.
+    
+        The 'r' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        The amount of padding (in px) along the top of the component.
+    
+        The 't' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        b
+            The amount of padding (in px) along the bottom of the
+            component.
+        l
+            The amount of padding (in px) on the left side of the
+            component.
+        r
+            The amount of padding (in px) on the right side of the
+            component.
+        t
+            The amount of padding (in px) along the top of the
+            component.
+        """
+
+    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
+        """
+        Construct a new Pad object
+        
+        Sets the padding around the buttons or dropdown menu.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.updatemenu.Pad`
+        b
+            The amount of padding (in px) along the bottom of the
+            component.
+        l
+            The amount of padding (in px) on the left side of the
+            component.
+        r
+            The amount of padding (in px) on the right side of the
+            component.
+        t
+            The amount of padding (in px) along the top of the
+            component.
+
+        Returns
+        -------
+        Pad
+        """
+        super(Pad, self).__init__("pad")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.updatemenu.Pad 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.updatemenu.Pad`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("l", None)
+        _v = l if l is not None else _v
+        if _v is not None:
+            self["l"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/__init__.py
index d20748d7101..96fe91ecdf6 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/xaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/__init__.py
@@ -1,2223 +1,27 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # standoff
-    # --------
-    @property
-    def standoff(self):
-        """
-        Sets the standoff distance (in px) between the axis labels and
-        the title text The default value is a function of the axis tick
-        labels, the title `font.size` and the axis `linewidth`. Note
-        that the axis title position is always constrained within the
-        margins, so the actual standoff distance is always less than
-        the set or default value. By setting `standoff` and turning on
-        `automargin`, plotly.js will push the margins to fit the axis
-        title at given standoff distance.
-    
-        The 'standoff' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["standoff"]
-
-    @standoff.setter
-    def standoff(self, val):
-        self["standoff"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        standoff
-            Sets the standoff distance (in px) between the axis
-            labels and the title text The default value is a
-            function of the axis tick labels, the title `font.size`
-            and the axis `linewidth`. Note that the axis title
-            position is always constrained within the margins, so
-            the actual standoff distance is always less than the
-            set or default value. By setting `standoff` and turning
-            on `automargin`, plotly.js will push the margins to fit
-            the axis title at given standoff distance.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, standoff=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        standoff
-            Sets the standoff distance (in px) between the axis
-            labels and the title text The default value is a
-            function of the axis tick labels, the title `font.size`
-            and the axis `linewidth`. Note that the axis title
-            position is always constrained within the margins, so
-            the actual standoff distance is always less than the
-            set or default value. By setting `standoff` and turning
-            on `automargin`, plotly.js will push the margins to fit
-            the axis title at given standoff distance.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["standoff"] = v_title.StandoffValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("standoff", None)
-        self["standoff"] = standoff if standoff is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Rangeslider(_BaseLayoutHierarchyType):
-
-    # autorange
-    # ---------
-    @property
-    def autorange(self):
-        """
-        Determines whether or not the range slider range is computed in
-        relation to the input data. If `range` is provided, then
-        `autorange` is set to False.
-    
-        The 'autorange' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autorange"]
-
-    @autorange.setter
-    def autorange(self, val):
-        self["autorange"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the range slider.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the range slider.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the border width of the range slider.
-    
-        The 'borderwidth' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of the range slider. If not set, defaults to the
-        full xaxis range. If the axis `type` is "log", then you must
-        take the log of your desired range. If the axis `type` is
-        "date", it should be date strings, like date data, though Date
-        objects and unix milliseconds will be accepted and converted to
-        strings. If the axis `type` is "category", it should be
-        numbers, using the scale where each category is assigned a
-        serial number from zero in the order it appears.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        The height of the range slider as a fraction of the total plot
-        area height.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not the range slider will be visible. If
-        visible, perpendicular axes will be set to `fixedrange`
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # yaxis
-    # -----
-    @property
-    def yaxis(self):
-        """
-        The 'yaxis' property is an instance of YAxis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.rangeslider.YAxis`
-          - A dict of string/value properties that will be passed
-            to the YAxis constructor
-    
-            Supported dict properties:
-                
-                range
-                    Sets the range of this axis for the
-                    rangeslider.
-                rangemode
-                    Determines whether or not the range of this
-                    axis in the rangeslider use the same value than
-                    in the main plot when zooming in/out. If
-                    "auto", the autorange will be used. If "fixed",
-                    the `range` is used. If "match", the current
-                    range of the corresponding y-axis on the main
-                    subplot is used.
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.rangeslider.YAxis
-        """
-        return self["yaxis"]
-
-    @yaxis.setter
-    def yaxis(self, val):
-        self["yaxis"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autorange
-            Determines whether or not the range slider range is
-            computed in relation to the input data. If `range` is
-            provided, then `autorange` is set to False.
-        bgcolor
-            Sets the background color of the range slider.
-        bordercolor
-            Sets the border color of the range slider.
-        borderwidth
-            Sets the border width of the range slider.
-        range
-            Sets the range of the range slider. If not set,
-            defaults to the full xaxis range. If the axis `type` is
-            "log", then you must take the log of your desired
-            range. If the axis `type` is "date", it should be date
-            strings, like date data, though Date objects and unix
-            milliseconds will be accepted and converted to strings.
-            If the axis `type` is "category", it should be numbers,
-            using the scale where each category is assigned a
-            serial number from zero in the order it appears.
-        thickness
-            The height of the range slider as a fraction of the
-            total plot area height.
-        visible
-            Determines whether or not the range slider will be
-            visible. If visible, perpendicular axes will be set to
-            `fixedrange`
-        yaxis
-            :class:`plotly.graph_objects.layout.xaxis.rangeslider.Y
-            Axis` instance or dict with compatible properties
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autorange=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        range=None,
-        thickness=None,
-        visible=None,
-        yaxis=None,
-        **kwargs
-    ):
-        """
-        Construct a new Rangeslider object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.Rangeslider`
-        autorange
-            Determines whether or not the range slider range is
-            computed in relation to the input data. If `range` is
-            provided, then `autorange` is set to False.
-        bgcolor
-            Sets the background color of the range slider.
-        bordercolor
-            Sets the border color of the range slider.
-        borderwidth
-            Sets the border width of the range slider.
-        range
-            Sets the range of the range slider. If not set,
-            defaults to the full xaxis range. If the axis `type` is
-            "log", then you must take the log of your desired
-            range. If the axis `type` is "date", it should be date
-            strings, like date data, though Date objects and unix
-            milliseconds will be accepted and converted to strings.
-            If the axis `type` is "category", it should be numbers,
-            using the scale where each category is assigned a
-            serial number from zero in the order it appears.
-        thickness
-            The height of the range slider as a fraction of the
-            total plot area height.
-        visible
-            Determines whether or not the range slider will be
-            visible. If visible, perpendicular axes will be set to
-            `fixedrange`
-        yaxis
-            :class:`plotly.graph_objects.layout.xaxis.rangeslider.Y
-            Axis` instance or dict with compatible properties
-
-        Returns
-        -------
-        Rangeslider
-        """
-        super(Rangeslider, self).__init__("rangeslider")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.Rangeslider 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.Rangeslider`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis import rangeslider as v_rangeslider
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autorange"] = v_rangeslider.AutorangeValidator()
-        self._validators["bgcolor"] = v_rangeslider.BgcolorValidator()
-        self._validators["bordercolor"] = v_rangeslider.BordercolorValidator()
-        self._validators["borderwidth"] = v_rangeslider.BorderwidthValidator()
-        self._validators["range"] = v_rangeslider.RangeValidator()
-        self._validators["thickness"] = v_rangeslider.ThicknessValidator()
-        self._validators["visible"] = v_rangeslider.VisibleValidator()
-        self._validators["yaxis"] = v_rangeslider.YAxisValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autorange", None)
-        self["autorange"] = autorange if autorange is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("yaxis", None)
-        self["yaxis"] = yaxis if yaxis is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Rangeselector(_BaseLayoutHierarchyType):
-
-    # activecolor
-    # -----------
-    @property
-    def activecolor(self):
-        """
-        Sets the background color of the active range selector button.
-    
-        The 'activecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["activecolor"]
-
-    @activecolor.setter
-    def activecolor(self, val):
-        self["activecolor"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the range selector buttons.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the color of the border enclosing the range selector.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) of the border enclosing the range
-        selector.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # buttons
-    # -------
-    @property
-    def buttons(self):
-        """
-        Sets the specifications for each buttons. By default, a range
-        selector comes with no buttons.
-    
-        The 'buttons' property is a tuple of instances of
-        Button that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.layout.xaxis.rangeselector.Button
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Button constructor
-    
-            Supported dict properties:
-                
-                count
-                    Sets the number of steps to take to update the
-                    range. Use with `step` to specify the update
-                    interval.
-                label
-                    Sets the text label to appear on the button.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                step
-                    The unit of measurement that the `count` value
-                    will set the range by.
-                stepmode
-                    Sets the range update mode. If "backward", the
-                    range update shifts the start of range back
-                    "count" times "step" milliseconds. If "todate",
-                    the range update shifts the start of range back
-                    to the first timestamp from "count" times
-                    "step" milliseconds back. For example, with
-                    `step` set to "year" and `count` set to 1 the
-                    range update shifts the start of the range back
-                    to January 01 of the current year. Month and
-                    year "todate" are currently available only for
-                    the built-in (Gregorian) calendar.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                visible
-                    Determines whether or not this button is
-                    visible.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.layout.xaxis.rangeselector.Button]
-        """
-        return self["buttons"]
-
-    @buttons.setter
-    def buttons(self, val):
-        self["buttons"] = val
-
-    # buttondefaults
-    # --------------
-    @property
-    def buttondefaults(self):
-        """
-        When used in a template (as
-        layout.template.layout.xaxis.rangeselector.buttondefaults),
-        sets the default property values to use for elements of
-        layout.xaxis.rangeselector.buttons
-    
-        The 'buttondefaults' property is an instance of Button
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Button`
-          - A dict of string/value properties that will be passed
-            to the Button constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.rangeselector.Button
-        """
-        return self["buttondefaults"]
-
-    @buttondefaults.setter
-    def buttondefaults(self, val):
-        self["buttondefaults"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font of the range selector button text.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.xaxis.rangeselector.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this range selector is visible. Note
-        that range selectors are only available for x axes of `type`
-        set to or auto-typed to "date".
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position (in normalized coordinates) of the range
-        selector.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets the range selector's horizontal position anchor. This
-        anchor binds the `x` position to the "left", "center" or
-        "right" of the range selector.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position (in normalized coordinates) of the range
-        selector.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets the range selector's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the range selector.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        activecolor
-            Sets the background color of the active range selector
-            button.
-        bgcolor
-            Sets the background color of the range selector
-            buttons.
-        bordercolor
-            Sets the color of the border enclosing the range
-            selector.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            range selector.
-        buttons
-            Sets the specifications for each buttons. By default, a
-            range selector comes with no buttons.
-        buttondefaults
-            When used in a template (as layout.template.layout.xaxi
-            s.rangeselector.buttondefaults), sets the default
-            property values to use for elements of
-            layout.xaxis.rangeselector.buttons
-        font
-            Sets the font of the range selector button text.
-        visible
-            Determines whether or not this range selector is
-            visible. Note that range selectors are only available
-            for x axes of `type` set to or auto-typed to "date".
-        x
-            Sets the x position (in normalized coordinates) of the
-            range selector.
-        xanchor
-            Sets the range selector's horizontal position anchor.
-            This anchor binds the `x` position to the "left",
-            "center" or "right" of the range selector.
-        y
-            Sets the y position (in normalized coordinates) of the
-            range selector.
-        yanchor
-            Sets the range selector's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the range selector.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        activecolor=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        buttons=None,
-        buttondefaults=None,
-        font=None,
-        visible=None,
-        x=None,
-        xanchor=None,
-        y=None,
-        yanchor=None,
-        **kwargs
-    ):
-        """
-        Construct a new Rangeselector object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.Rangeselector`
-        activecolor
-            Sets the background color of the active range selector
-            button.
-        bgcolor
-            Sets the background color of the range selector
-            buttons.
-        bordercolor
-            Sets the color of the border enclosing the range
-            selector.
-        borderwidth
-            Sets the width (in px) of the border enclosing the
-            range selector.
-        buttons
-            Sets the specifications for each buttons. By default, a
-            range selector comes with no buttons.
-        buttondefaults
-            When used in a template (as layout.template.layout.xaxi
-            s.rangeselector.buttondefaults), sets the default
-            property values to use for elements of
-            layout.xaxis.rangeselector.buttons
-        font
-            Sets the font of the range selector button text.
-        visible
-            Determines whether or not this range selector is
-            visible. Note that range selectors are only available
-            for x axes of `type` set to or auto-typed to "date".
-        x
-            Sets the x position (in normalized coordinates) of the
-            range selector.
-        xanchor
-            Sets the range selector's horizontal position anchor.
-            This anchor binds the `x` position to the "left",
-            "center" or "right" of the range selector.
-        y
-            Sets the y position (in normalized coordinates) of the
-            range selector.
-        yanchor
-            Sets the range selector's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the range selector.
-
-        Returns
-        -------
-        Rangeselector
-        """
-        super(Rangeselector, self).__init__("rangeselector")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.Rangeselector 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.Rangeselector`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis import rangeselector as v_rangeselector
-
-        # Initialize validators
-        # ---------------------
-        self._validators["activecolor"] = v_rangeselector.ActivecolorValidator()
-        self._validators["bgcolor"] = v_rangeselector.BgcolorValidator()
-        self._validators["bordercolor"] = v_rangeselector.BordercolorValidator()
-        self._validators["borderwidth"] = v_rangeselector.BorderwidthValidator()
-        self._validators["buttons"] = v_rangeselector.ButtonsValidator()
-        self._validators["buttondefaults"] = v_rangeselector.ButtonValidator()
-        self._validators["font"] = v_rangeselector.FontValidator()
-        self._validators["visible"] = v_rangeselector.VisibleValidator()
-        self._validators["x"] = v_rangeselector.XValidator()
-        self._validators["xanchor"] = v_rangeselector.XanchorValidator()
-        self._validators["y"] = v_rangeselector.YValidator()
-        self._validators["yanchor"] = v_rangeselector.YanchorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("activecolor", None)
-        self["activecolor"] = activecolor if activecolor is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("buttons", None)
-        self["buttons"] = buttons if buttons is not None else _v
-        _v = arg.pop("buttondefaults", None)
-        self["buttondefaults"] = buttondefaults if buttondefaults is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Rangebreak(_BaseLayoutHierarchyType):
-
-    # bounds
-    # ------
-    @property
-    def bounds(self):
-        """
-        Sets the lower and upper bounds of this axis rangebreak. Can be
-        used with `pattern`.
-    
-        The 'bounds' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'bounds[0]' property accepts values of any type
-    (1) The 'bounds[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["bounds"]
-
-    @bounds.setter
-    def bounds(self, val):
-        self["bounds"] = val
-
-    # dvalue
-    # ------
-    @property
-    def dvalue(self):
-        """
-        Sets the size of each `values` item. The default is one day in
-        milliseconds.
-    
-        The 'dvalue' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dvalue"]
-
-    @dvalue.setter
-    def dvalue(self, val):
-        self["dvalue"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether this axis rangebreak is enabled or disabled.
-        Please note that `rangebreaks` only work for "date" axis type.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # pattern
-    # -------
-    @property
-    def pattern(self):
-        """
-        Determines a pattern on the time line that generates breaks. If
-        *day of week* - days of the week in English e.g. 'Sunday' or
-        `sun` (matching is case-insensitive and considers only the
-        first three characters), as well as Sunday-based integers
-        between 0 and 6. If "hour" - hour (24-hour clock) as decimal
-        numbers between 0 and 24. for more info. Examples: - { pattern:
-        'day of week', bounds: [6, 1] }  or simply { bounds: ['sat',
-        'mon'] }   breaks from Saturday to Monday (i.e. skips the
-        weekends). - { pattern: 'hour', bounds: [17, 8] }   breaks from
-        5pm to 8am (i.e. skips non-work hours).
-    
-        The 'pattern' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['day of week', 'hour', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["pattern"]
-
-    @pattern.setter
-    def pattern(self, val):
-        self["pattern"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the coordinate values corresponding to the rangebreaks. An
-        alternative to `bounds`. Use `dvalue` to set the size of the
-        values along the axis.
-    
-        The 'values' property is an info array that may be specified as:
-        * a list of elements where:
-          The 'values[i]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bounds
-            Sets the lower and upper bounds of this axis
-            rangebreak. Can be used with `pattern`.
-        dvalue
-            Sets the size of each `values` item. The default is one
-            day in milliseconds.
-        enabled
-            Determines whether this axis rangebreak is enabled or
-            disabled. Please note that `rangebreaks` only work for
-            "date" axis type.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pattern
-            Determines a pattern on the time line that generates
-            breaks. If *day of week* - days of the week in English
-            e.g. 'Sunday' or `sun` (matching is case-insensitive
-            and considers only the first three characters), as well
-            as Sunday-based integers between 0 and 6. If "hour" -
-            hour (24-hour clock) as decimal numbers between 0 and
-            24. for more info. Examples: - { pattern: 'day of
-            week', bounds: [6, 1] }  or simply { bounds: ['sat',
-            'mon'] }   breaks from Saturday to Monday (i.e. skips
-            the weekends). - { pattern: 'hour', bounds: [17, 8] }
-            breaks from 5pm to 8am (i.e. skips non-work hours).
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        values
-            Sets the coordinate values corresponding to the
-            rangebreaks. An alternative to `bounds`. Use `dvalue`
-            to set the size of the values along the axis.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        bounds=None,
-        dvalue=None,
-        enabled=None,
-        name=None,
-        pattern=None,
-        templateitemname=None,
-        values=None,
-        **kwargs
-    ):
-        """
-        Construct a new Rangebreak object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.Rangebreak`
-        bounds
-            Sets the lower and upper bounds of this axis
-            rangebreak. Can be used with `pattern`.
-        dvalue
-            Sets the size of each `values` item. The default is one
-            day in milliseconds.
-        enabled
-            Determines whether this axis rangebreak is enabled or
-            disabled. Please note that `rangebreaks` only work for
-            "date" axis type.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pattern
-            Determines a pattern on the time line that generates
-            breaks. If *day of week* - days of the week in English
-            e.g. 'Sunday' or `sun` (matching is case-insensitive
-            and considers only the first three characters), as well
-            as Sunday-based integers between 0 and 6. If "hour" -
-            hour (24-hour clock) as decimal numbers between 0 and
-            24. for more info. Examples: - { pattern: 'day of
-            week', bounds: [6, 1] }  or simply { bounds: ['sat',
-            'mon'] }   breaks from Saturday to Monday (i.e. skips
-            the weekends). - { pattern: 'hour', bounds: [17, 8] }
-            breaks from 5pm to 8am (i.e. skips non-work hours).
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        values
-            Sets the coordinate values corresponding to the
-            rangebreaks. An alternative to `bounds`. Use `dvalue`
-            to set the size of the values along the axis.
-
-        Returns
-        -------
-        Rangebreak
-        """
-        super(Rangebreak, self).__init__("rangebreaks")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.Rangebreak 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.Rangebreak`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis import rangebreak as v_rangebreak
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bounds"] = v_rangebreak.BoundsValidator()
-        self._validators["dvalue"] = v_rangebreak.DvalueValidator()
-        self._validators["enabled"] = v_rangebreak.EnabledValidator()
-        self._validators["name"] = v_rangebreak.NameValidator()
-        self._validators["pattern"] = v_rangebreak.PatternValidator()
-        self._validators["templateitemname"] = v_rangebreak.TemplateitemnameValidator()
-        self._validators["values"] = v_rangebreak.ValuesValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bounds", None)
-        self["bounds"] = bounds if bounds is not None else _v
-        _v = arg.pop("dvalue", None)
-        self["dvalue"] = dvalue if dvalue is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("pattern", None)
-        self["pattern"] = pattern if pattern is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Rangebreak",
-    "Rangebreak",
-    "Rangeselector",
-    "Rangeslider",
-    "Tickfont",
-    "Tickformatstop",
-    "Tickformatstop",
-    "Title",
-    "rangeselector",
-    "rangeslider",
-    "title",
-]
-
-from plotly.graph_objs.layout.xaxis import title
-from plotly.graph_objs.layout.xaxis import rangeslider
-from plotly.graph_objs.layout.xaxis import rangeselector
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from ._rangeslider import Rangeslider
+    from ._rangeselector import Rangeselector
+    from ._rangebreak import Rangebreak
+    from . import title
+    from . import rangeslider
+    from . import rangeselector
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title", ".rangeslider", ".rangeselector"],
+        [
+            "._title.Title",
+            "._tickformatstop.Tickformatstop",
+            "._tickfont.Tickfont",
+            "._rangeslider.Rangeslider",
+            "._rangeselector.Rangeselector",
+            "._rangebreak.Rangebreak",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangebreak.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangebreak.py
new file mode 100644
index 00000000000..0be29535fdd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangebreak.py
@@ -0,0 +1,381 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Rangebreak(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis"
+    _path_str = "layout.xaxis.rangebreak"
+    _valid_props = {
+        "bounds",
+        "dvalue",
+        "enabled",
+        "name",
+        "pattern",
+        "templateitemname",
+        "values",
+    }
+
+    # bounds
+    # ------
+    @property
+    def bounds(self):
+        """
+        Sets the lower and upper bounds of this axis rangebreak. Can be
+        used with `pattern`.
+    
+        The 'bounds' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'bounds[0]' property accepts values of any type
+    (1) The 'bounds[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["bounds"]
+
+    @bounds.setter
+    def bounds(self, val):
+        self["bounds"] = val
+
+    # dvalue
+    # ------
+    @property
+    def dvalue(self):
+        """
+        Sets the size of each `values` item. The default is one day in
+        milliseconds.
+    
+        The 'dvalue' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dvalue"]
+
+    @dvalue.setter
+    def dvalue(self, val):
+        self["dvalue"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether this axis rangebreak is enabled or disabled.
+        Please note that `rangebreaks` only work for "date" axis type.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # pattern
+    # -------
+    @property
+    def pattern(self):
+        """
+        Determines a pattern on the time line that generates breaks. If
+        *day of week* - days of the week in English e.g. 'Sunday' or
+        `sun` (matching is case-insensitive and considers only the
+        first three characters), as well as Sunday-based integers
+        between 0 and 6. If "hour" - hour (24-hour clock) as decimal
+        numbers between 0 and 24. for more info. Examples: - { pattern:
+        'day of week', bounds: [6, 1] }  or simply { bounds: ['sat',
+        'mon'] }   breaks from Saturday to Monday (i.e. skips the
+        weekends). - { pattern: 'hour', bounds: [17, 8] }   breaks from
+        5pm to 8am (i.e. skips non-work hours).
+    
+        The 'pattern' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['day of week', 'hour', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["pattern"]
+
+    @pattern.setter
+    def pattern(self, val):
+        self["pattern"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the coordinate values corresponding to the rangebreaks. An
+        alternative to `bounds`. Use `dvalue` to set the size of the
+        values along the axis.
+    
+        The 'values' property is an info array that may be specified as:
+        * a list of elements where:
+          The 'values[i]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bounds
+            Sets the lower and upper bounds of this axis
+            rangebreak. Can be used with `pattern`.
+        dvalue
+            Sets the size of each `values` item. The default is one
+            day in milliseconds.
+        enabled
+            Determines whether this axis rangebreak is enabled or
+            disabled. Please note that `rangebreaks` only work for
+            "date" axis type.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pattern
+            Determines a pattern on the time line that generates
+            breaks. If *day of week* - days of the week in English
+            e.g. 'Sunday' or `sun` (matching is case-insensitive
+            and considers only the first three characters), as well
+            as Sunday-based integers between 0 and 6. If "hour" -
+            hour (24-hour clock) as decimal numbers between 0 and
+            24. for more info. Examples: - { pattern: 'day of
+            week', bounds: [6, 1] }  or simply { bounds: ['sat',
+            'mon'] }   breaks from Saturday to Monday (i.e. skips
+            the weekends). - { pattern: 'hour', bounds: [17, 8] }
+            breaks from 5pm to 8am (i.e. skips non-work hours).
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        values
+            Sets the coordinate values corresponding to the
+            rangebreaks. An alternative to `bounds`. Use `dvalue`
+            to set the size of the values along the axis.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        bounds=None,
+        dvalue=None,
+        enabled=None,
+        name=None,
+        pattern=None,
+        templateitemname=None,
+        values=None,
+        **kwargs
+    ):
+        """
+        Construct a new Rangebreak object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.Rangebreak`
+        bounds
+            Sets the lower and upper bounds of this axis
+            rangebreak. Can be used with `pattern`.
+        dvalue
+            Sets the size of each `values` item. The default is one
+            day in milliseconds.
+        enabled
+            Determines whether this axis rangebreak is enabled or
+            disabled. Please note that `rangebreaks` only work for
+            "date" axis type.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pattern
+            Determines a pattern on the time line that generates
+            breaks. If *day of week* - days of the week in English
+            e.g. 'Sunday' or `sun` (matching is case-insensitive
+            and considers only the first three characters), as well
+            as Sunday-based integers between 0 and 6. If "hour" -
+            hour (24-hour clock) as decimal numbers between 0 and
+            24. for more info. Examples: - { pattern: 'day of
+            week', bounds: [6, 1] }  or simply { bounds: ['sat',
+            'mon'] }   breaks from Saturday to Monday (i.e. skips
+            the weekends). - { pattern: 'hour', bounds: [17, 8] }
+            breaks from 5pm to 8am (i.e. skips non-work hours).
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        values
+            Sets the coordinate values corresponding to the
+            rangebreaks. An alternative to `bounds`. Use `dvalue`
+            to set the size of the values along the axis.
+
+        Returns
+        -------
+        Rangebreak
+        """
+        super(Rangebreak, self).__init__("rangebreaks")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.Rangebreak 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.Rangebreak`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bounds", None)
+        _v = bounds if bounds is not None else _v
+        if _v is not None:
+            self["bounds"] = _v
+        _v = arg.pop("dvalue", None)
+        _v = dvalue if dvalue is not None else _v
+        if _v is not None:
+            self["dvalue"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("pattern", None)
+        _v = pattern if pattern is not None else _v
+        if _v is not None:
+            self["pattern"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangeselector.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangeselector.py
new file mode 100644
index 00000000000..483f5002800
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangeselector.py
@@ -0,0 +1,681 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Rangeselector(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis"
+    _path_str = "layout.xaxis.rangeselector"
+    _valid_props = {
+        "activecolor",
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "buttondefaults",
+        "buttons",
+        "font",
+        "visible",
+        "x",
+        "xanchor",
+        "y",
+        "yanchor",
+    }
+
+    # activecolor
+    # -----------
+    @property
+    def activecolor(self):
+        """
+        Sets the background color of the active range selector button.
+    
+        The 'activecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["activecolor"]
+
+    @activecolor.setter
+    def activecolor(self, val):
+        self["activecolor"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the range selector buttons.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the color of the border enclosing the range selector.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) of the border enclosing the range
+        selector.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # buttons
+    # -------
+    @property
+    def buttons(self):
+        """
+        Sets the specifications for each buttons. By default, a range
+        selector comes with no buttons.
+    
+        The 'buttons' property is a tuple of instances of
+        Button that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.layout.xaxis.rangeselector.Button
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Button constructor
+    
+            Supported dict properties:
+                
+                count
+                    Sets the number of steps to take to update the
+                    range. Use with `step` to specify the update
+                    interval.
+                label
+                    Sets the text label to appear on the button.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                step
+                    The unit of measurement that the `count` value
+                    will set the range by.
+                stepmode
+                    Sets the range update mode. If "backward", the
+                    range update shifts the start of range back
+                    "count" times "step" milliseconds. If "todate",
+                    the range update shifts the start of range back
+                    to the first timestamp from "count" times
+                    "step" milliseconds back. For example, with
+                    `step` set to "year" and `count` set to 1 the
+                    range update shifts the start of the range back
+                    to January 01 of the current year. Month and
+                    year "todate" are currently available only for
+                    the built-in (Gregorian) calendar.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                visible
+                    Determines whether or not this button is
+                    visible.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.layout.xaxis.rangeselector.Button]
+        """
+        return self["buttons"]
+
+    @buttons.setter
+    def buttons(self, val):
+        self["buttons"] = val
+
+    # buttondefaults
+    # --------------
+    @property
+    def buttondefaults(self):
+        """
+        When used in a template (as
+        layout.template.layout.xaxis.rangeselector.buttondefaults),
+        sets the default property values to use for elements of
+        layout.xaxis.rangeselector.buttons
+    
+        The 'buttondefaults' property is an instance of Button
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Button`
+          - A dict of string/value properties that will be passed
+            to the Button constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.rangeselector.Button
+        """
+        return self["buttondefaults"]
+
+    @buttondefaults.setter
+    def buttondefaults(self, val):
+        self["buttondefaults"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font of the range selector button text.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.rangeselector.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this range selector is visible. Note
+        that range selectors are only available for x axes of `type`
+        set to or auto-typed to "date".
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position (in normalized coordinates) of the range
+        selector.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets the range selector's horizontal position anchor. This
+        anchor binds the `x` position to the "left", "center" or
+        "right" of the range selector.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position (in normalized coordinates) of the range
+        selector.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets the range selector's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the range selector.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        activecolor
+            Sets the background color of the active range selector
+            button.
+        bgcolor
+            Sets the background color of the range selector
+            buttons.
+        bordercolor
+            Sets the color of the border enclosing the range
+            selector.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            range selector.
+        buttons
+            Sets the specifications for each buttons. By default, a
+            range selector comes with no buttons.
+        buttondefaults
+            When used in a template (as layout.template.layout.xaxi
+            s.rangeselector.buttondefaults), sets the default
+            property values to use for elements of
+            layout.xaxis.rangeselector.buttons
+        font
+            Sets the font of the range selector button text.
+        visible
+            Determines whether or not this range selector is
+            visible. Note that range selectors are only available
+            for x axes of `type` set to or auto-typed to "date".
+        x
+            Sets the x position (in normalized coordinates) of the
+            range selector.
+        xanchor
+            Sets the range selector's horizontal position anchor.
+            This anchor binds the `x` position to the "left",
+            "center" or "right" of the range selector.
+        y
+            Sets the y position (in normalized coordinates) of the
+            range selector.
+        yanchor
+            Sets the range selector's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the range selector.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        activecolor=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        buttons=None,
+        buttondefaults=None,
+        font=None,
+        visible=None,
+        x=None,
+        xanchor=None,
+        y=None,
+        yanchor=None,
+        **kwargs
+    ):
+        """
+        Construct a new Rangeselector object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.Rangeselector`
+        activecolor
+            Sets the background color of the active range selector
+            button.
+        bgcolor
+            Sets the background color of the range selector
+            buttons.
+        bordercolor
+            Sets the color of the border enclosing the range
+            selector.
+        borderwidth
+            Sets the width (in px) of the border enclosing the
+            range selector.
+        buttons
+            Sets the specifications for each buttons. By default, a
+            range selector comes with no buttons.
+        buttondefaults
+            When used in a template (as layout.template.layout.xaxi
+            s.rangeselector.buttondefaults), sets the default
+            property values to use for elements of
+            layout.xaxis.rangeselector.buttons
+        font
+            Sets the font of the range selector button text.
+        visible
+            Determines whether or not this range selector is
+            visible. Note that range selectors are only available
+            for x axes of `type` set to or auto-typed to "date".
+        x
+            Sets the x position (in normalized coordinates) of the
+            range selector.
+        xanchor
+            Sets the range selector's horizontal position anchor.
+            This anchor binds the `x` position to the "left",
+            "center" or "right" of the range selector.
+        y
+            Sets the y position (in normalized coordinates) of the
+            range selector.
+        yanchor
+            Sets the range selector's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the range selector.
+
+        Returns
+        -------
+        Rangeselector
+        """
+        super(Rangeselector, self).__init__("rangeselector")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.Rangeselector 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.Rangeselector`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("activecolor", None)
+        _v = activecolor if activecolor is not None else _v
+        if _v is not None:
+            self["activecolor"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("buttons", None)
+        _v = buttons if buttons is not None else _v
+        if _v is not None:
+            self["buttons"] = _v
+        _v = arg.pop("buttondefaults", None)
+        _v = buttondefaults if buttondefaults is not None else _v
+        if _v is not None:
+            self["buttondefaults"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangeslider.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangeslider.py
new file mode 100644
index 00000000000..03900350394
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_rangeslider.py
@@ -0,0 +1,451 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Rangeslider(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis"
+    _path_str = "layout.xaxis.rangeslider"
+    _valid_props = {
+        "autorange",
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "range",
+        "thickness",
+        "visible",
+        "yaxis",
+    }
+
+    # autorange
+    # ---------
+    @property
+    def autorange(self):
+        """
+        Determines whether or not the range slider range is computed in
+        relation to the input data. If `range` is provided, then
+        `autorange` is set to False.
+    
+        The 'autorange' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autorange"]
+
+    @autorange.setter
+    def autorange(self, val):
+        self["autorange"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the range slider.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the range slider.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the border width of the range slider.
+    
+        The 'borderwidth' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of the range slider. If not set, defaults to the
+        full xaxis range. If the axis `type` is "log", then you must
+        take the log of your desired range. If the axis `type` is
+        "date", it should be date strings, like date data, though Date
+        objects and unix milliseconds will be accepted and converted to
+        strings. If the axis `type` is "category", it should be
+        numbers, using the scale where each category is assigned a
+        serial number from zero in the order it appears.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        The height of the range slider as a fraction of the total plot
+        area height.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not the range slider will be visible. If
+        visible, perpendicular axes will be set to `fixedrange`
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # yaxis
+    # -----
+    @property
+    def yaxis(self):
+        """
+        The 'yaxis' property is an instance of YAxis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.rangeslider.YAxis`
+          - A dict of string/value properties that will be passed
+            to the YAxis constructor
+    
+            Supported dict properties:
+                
+                range
+                    Sets the range of this axis for the
+                    rangeslider.
+                rangemode
+                    Determines whether or not the range of this
+                    axis in the rangeslider use the same value than
+                    in the main plot when zooming in/out. If
+                    "auto", the autorange will be used. If "fixed",
+                    the `range` is used. If "match", the current
+                    range of the corresponding y-axis on the main
+                    subplot is used.
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.rangeslider.YAxis
+        """
+        return self["yaxis"]
+
+    @yaxis.setter
+    def yaxis(self, val):
+        self["yaxis"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autorange
+            Determines whether or not the range slider range is
+            computed in relation to the input data. If `range` is
+            provided, then `autorange` is set to False.
+        bgcolor
+            Sets the background color of the range slider.
+        bordercolor
+            Sets the border color of the range slider.
+        borderwidth
+            Sets the border width of the range slider.
+        range
+            Sets the range of the range slider. If not set,
+            defaults to the full xaxis range. If the axis `type` is
+            "log", then you must take the log of your desired
+            range. If the axis `type` is "date", it should be date
+            strings, like date data, though Date objects and unix
+            milliseconds will be accepted and converted to strings.
+            If the axis `type` is "category", it should be numbers,
+            using the scale where each category is assigned a
+            serial number from zero in the order it appears.
+        thickness
+            The height of the range slider as a fraction of the
+            total plot area height.
+        visible
+            Determines whether or not the range slider will be
+            visible. If visible, perpendicular axes will be set to
+            `fixedrange`
+        yaxis
+            :class:`plotly.graph_objects.layout.xaxis.rangeslider.Y
+            Axis` instance or dict with compatible properties
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autorange=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        range=None,
+        thickness=None,
+        visible=None,
+        yaxis=None,
+        **kwargs
+    ):
+        """
+        Construct a new Rangeslider object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.Rangeslider`
+        autorange
+            Determines whether or not the range slider range is
+            computed in relation to the input data. If `range` is
+            provided, then `autorange` is set to False.
+        bgcolor
+            Sets the background color of the range slider.
+        bordercolor
+            Sets the border color of the range slider.
+        borderwidth
+            Sets the border width of the range slider.
+        range
+            Sets the range of the range slider. If not set,
+            defaults to the full xaxis range. If the axis `type` is
+            "log", then you must take the log of your desired
+            range. If the axis `type` is "date", it should be date
+            strings, like date data, though Date objects and unix
+            milliseconds will be accepted and converted to strings.
+            If the axis `type` is "category", it should be numbers,
+            using the scale where each category is assigned a
+            serial number from zero in the order it appears.
+        thickness
+            The height of the range slider as a fraction of the
+            total plot area height.
+        visible
+            Determines whether or not the range slider will be
+            visible. If visible, perpendicular axes will be set to
+            `fixedrange`
+        yaxis
+            :class:`plotly.graph_objects.layout.xaxis.rangeslider.Y
+            Axis` instance or dict with compatible properties
+
+        Returns
+        -------
+        Rangeslider
+        """
+        super(Rangeslider, self).__init__("rangeslider")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.Rangeslider 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.Rangeslider`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autorange", None)
+        _v = autorange if autorange is not None else _v
+        if _v is not None:
+            self["autorange"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("yaxis", None)
+        _v = yaxis if yaxis is not None else _v
+        if _v is not None:
+            self["yaxis"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_tickfont.py
new file mode 100644
index 00000000000..ca246f0f48e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis"
+    _path_str = "layout.xaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_tickformatstop.py
new file mode 100644
index 00000000000..5271dcb5c31
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis"
+    _path_str = "layout.xaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_title.py
new file mode 100644
index 00000000000..2dc5087b3d0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/_title.py
@@ -0,0 +1,217 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis"
+    _path_str = "layout.xaxis.title"
+    _valid_props = {"font", "standoff", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.xaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.xaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # standoff
+    # --------
+    @property
+    def standoff(self):
+        """
+        Sets the standoff distance (in px) between the axis labels and
+        the title text The default value is a function of the axis tick
+        labels, the title `font.size` and the axis `linewidth`. Note
+        that the axis title position is always constrained within the
+        margins, so the actual standoff distance is always less than
+        the set or default value. By setting `standoff` and turning on
+        `automargin`, plotly.js will push the margins to fit the axis
+        title at given standoff distance.
+    
+        The 'standoff' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["standoff"]
+
+    @standoff.setter
+    def standoff(self, val):
+        self["standoff"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        standoff
+            Sets the standoff distance (in px) between the axis
+            labels and the title text The default value is a
+            function of the axis tick labels, the title `font.size`
+            and the axis `linewidth`. Note that the axis title
+            position is always constrained within the margins, so
+            the actual standoff distance is always less than the
+            set or default value. By setting `standoff` and turning
+            on `automargin`, plotly.js will push the margins to fit
+            the axis title at given standoff distance.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, standoff=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        standoff
+            Sets the standoff distance (in px) between the axis
+            labels and the title text The default value is a
+            function of the axis tick labels, the title `font.size`
+            and the axis `linewidth`. Note that the axis title
+            position is always constrained within the margins, so
+            the actual standoff distance is always less than the
+            set or default value. By setting `standoff` and turning
+            on `automargin`, plotly.js will push the margins to fit
+            the axis title at given standoff distance.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("standoff", None)
+        _v = standoff if standoff is not None else _v
+        if _v is not None:
+            self["standoff"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/__init__.py
index 879e934af7b..7de2438c984 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/__init__.py
@@ -1,590 +1,11 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+    from ._button import Button
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis.rangeselector"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets the font of the range selector button text.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.xaxis.r
-            angeselector.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.rangeselector.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis.rangeselector import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Button(_BaseLayoutHierarchyType):
-
-    # count
-    # -----
-    @property
-    def count(self):
-        """
-        Sets the number of steps to take to update the range. Use with
-        `step` to specify the update interval.
-    
-        The 'count' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["count"]
-
-    @count.setter
-    def count(self, val):
-        self["count"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        Sets the text label to appear on the button.
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # step
-    # ----
-    @property
-    def step(self):
-        """
-        The unit of measurement that the `count` value will set the
-        range by.
-    
-        The 'step' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['month', 'year', 'day', 'hour', 'minute', 'second',
-                'all']
-
-        Returns
-        -------
-        Any
-        """
-        return self["step"]
-
-    @step.setter
-    def step(self, val):
-        self["step"] = val
-
-    # stepmode
-    # --------
-    @property
-    def stepmode(self):
-        """
-        Sets the range update mode. If "backward", the range update
-        shifts the start of range back "count" times "step"
-        milliseconds. If "todate", the range update shifts the start of
-        range back to the first timestamp from "count" times "step"
-        milliseconds back. For example, with `step` set to "year" and
-        `count` set to 1 the range update shifts the start of the range
-        back to January 01 of the current year. Month and year "todate"
-        are currently available only for the built-in (Gregorian)
-        calendar.
-    
-        The 'stepmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['backward', 'todate']
-
-        Returns
-        -------
-        Any
-        """
-        return self["stepmode"]
-
-    @stepmode.setter
-    def stepmode(self, val):
-        self["stepmode"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this button is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis.rangeselector"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        count
-            Sets the number of steps to take to update the range.
-            Use with `step` to specify the update interval.
-        label
-            Sets the text label to appear on the button.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        step
-            The unit of measurement that the `count` value will set
-            the range by.
-        stepmode
-            Sets the range update mode. If "backward", the range
-            update shifts the start of range back "count" times
-            "step" milliseconds. If "todate", the range update
-            shifts the start of range back to the first timestamp
-            from "count" times "step" milliseconds back. For
-            example, with `step` set to "year" and `count` set to 1
-            the range update shifts the start of the range back to
-            January 01 of the current year. Month and year "todate"
-            are currently available only for the built-in
-            (Gregorian) calendar.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        visible
-            Determines whether or not this button is visible.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        count=None,
-        label=None,
-        name=None,
-        step=None,
-        stepmode=None,
-        templateitemname=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Button object
-        
-        Sets the specifications for each buttons. By default, a range
-        selector comes with no buttons.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.xaxis.r
-            angeselector.Button`
-        count
-            Sets the number of steps to take to update the range.
-            Use with `step` to specify the update interval.
-        label
-            Sets the text label to appear on the button.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        step
-            The unit of measurement that the `count` value will set
-            the range by.
-        stepmode
-            Sets the range update mode. If "backward", the range
-            update shifts the start of range back "count" times
-            "step" milliseconds. If "todate", the range update
-            shifts the start of range back to the first timestamp
-            from "count" times "step" milliseconds back. For
-            example, with `step` set to "year" and `count` set to 1
-            the range update shifts the start of the range back to
-            January 01 of the current year. Month and year "todate"
-            are currently available only for the built-in
-            (Gregorian) calendar.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        visible
-            Determines whether or not this button is visible.
-
-        Returns
-        -------
-        Button
-        """
-        super(Button, self).__init__("buttons")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.rangeselector.Button 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Button`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis.rangeselector import button as v_button
-
-        # Initialize validators
-        # ---------------------
-        self._validators["count"] = v_button.CountValidator()
-        self._validators["label"] = v_button.LabelValidator()
-        self._validators["name"] = v_button.NameValidator()
-        self._validators["step"] = v_button.StepValidator()
-        self._validators["stepmode"] = v_button.StepmodeValidator()
-        self._validators["templateitemname"] = v_button.TemplateitemnameValidator()
-        self._validators["visible"] = v_button.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("count", None)
-        self["count"] = count if count is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("step", None)
-        self["step"] = step if step is not None else _v
-        _v = arg.pop("stepmode", None)
-        self["stepmode"] = stepmode if stepmode is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Button", "Button", "Font"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._font.Font", "._button.Button"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/_button.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/_button.py
new file mode 100644
index 00000000000..dc23d1c7fec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/_button.py
@@ -0,0 +1,369 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Button(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis.rangeselector"
+    _path_str = "layout.xaxis.rangeselector.button"
+    _valid_props = {
+        "count",
+        "label",
+        "name",
+        "step",
+        "stepmode",
+        "templateitemname",
+        "visible",
+    }
+
+    # count
+    # -----
+    @property
+    def count(self):
+        """
+        Sets the number of steps to take to update the range. Use with
+        `step` to specify the update interval.
+    
+        The 'count' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["count"]
+
+    @count.setter
+    def count(self, val):
+        self["count"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        Sets the text label to appear on the button.
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # step
+    # ----
+    @property
+    def step(self):
+        """
+        The unit of measurement that the `count` value will set the
+        range by.
+    
+        The 'step' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['month', 'year', 'day', 'hour', 'minute', 'second',
+                'all']
+
+        Returns
+        -------
+        Any
+        """
+        return self["step"]
+
+    @step.setter
+    def step(self, val):
+        self["step"] = val
+
+    # stepmode
+    # --------
+    @property
+    def stepmode(self):
+        """
+        Sets the range update mode. If "backward", the range update
+        shifts the start of range back "count" times "step"
+        milliseconds. If "todate", the range update shifts the start of
+        range back to the first timestamp from "count" times "step"
+        milliseconds back. For example, with `step` set to "year" and
+        `count` set to 1 the range update shifts the start of the range
+        back to January 01 of the current year. Month and year "todate"
+        are currently available only for the built-in (Gregorian)
+        calendar.
+    
+        The 'stepmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['backward', 'todate']
+
+        Returns
+        -------
+        Any
+        """
+        return self["stepmode"]
+
+    @stepmode.setter
+    def stepmode(self, val):
+        self["stepmode"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this button is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        count
+            Sets the number of steps to take to update the range.
+            Use with `step` to specify the update interval.
+        label
+            Sets the text label to appear on the button.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        step
+            The unit of measurement that the `count` value will set
+            the range by.
+        stepmode
+            Sets the range update mode. If "backward", the range
+            update shifts the start of range back "count" times
+            "step" milliseconds. If "todate", the range update
+            shifts the start of range back to the first timestamp
+            from "count" times "step" milliseconds back. For
+            example, with `step` set to "year" and `count` set to 1
+            the range update shifts the start of the range back to
+            January 01 of the current year. Month and year "todate"
+            are currently available only for the built-in
+            (Gregorian) calendar.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        visible
+            Determines whether or not this button is visible.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        count=None,
+        label=None,
+        name=None,
+        step=None,
+        stepmode=None,
+        templateitemname=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Button object
+        
+        Sets the specifications for each buttons. By default, a range
+        selector comes with no buttons.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.xaxis.r
+            angeselector.Button`
+        count
+            Sets the number of steps to take to update the range.
+            Use with `step` to specify the update interval.
+        label
+            Sets the text label to appear on the button.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        step
+            The unit of measurement that the `count` value will set
+            the range by.
+        stepmode
+            Sets the range update mode. If "backward", the range
+            update shifts the start of range back "count" times
+            "step" milliseconds. If "todate", the range update
+            shifts the start of range back to the first timestamp
+            from "count" times "step" milliseconds back. For
+            example, with `step` set to "year" and `count` set to 1
+            the range update shifts the start of the range back to
+            January 01 of the current year. Month and year "todate"
+            are currently available only for the built-in
+            (Gregorian) calendar.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        visible
+            Determines whether or not this button is visible.
+
+        Returns
+        -------
+        Button
+        """
+        super(Button, self).__init__("buttons")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.rangeselector.Button 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Button`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("count", None)
+        _v = count if count is not None else _v
+        if _v is not None:
+            self["count"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("step", None)
+        _v = step if step is not None else _v
+        if _v is not None:
+            self["step"] = _v
+        _v = arg.pop("stepmode", None)
+        _v = stepmode if stepmode is not None else _v
+        if _v is not None:
+            self["stepmode"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/_font.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/_font.py
new file mode 100644
index 00000000000..e0470232183
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeselector/_font.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis.rangeselector"
+    _path_str = "layout.xaxis.rangeselector.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets the font of the range selector button text.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.xaxis.r
+            angeselector.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.rangeselector.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.rangeselector.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/__init__.py
index 8529a311c22..1fce1019ba6 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/__init__.py
@@ -1,148 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._yaxis import YAxis
+else:
+    from _plotly_utils.importers import relative_import
 
-class YAxis(_BaseLayoutHierarchyType):
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        Sets the range of this axis for the rangeslider.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property accepts values of any type
-    (1) The 'range[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # rangemode
-    # ---------
-    @property
-    def rangemode(self):
-        """
-        Determines whether or not the range of this axis in the
-        rangeslider use the same value than in the main plot when
-        zooming in/out. If "auto", the autorange will be used. If
-        "fixed", the `range` is used. If "match", the current range of
-        the corresponding y-axis on the main subplot is used.
-    
-        The 'rangemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'fixed', 'match']
-
-        Returns
-        -------
-        Any
-        """
-        return self["rangemode"]
-
-    @rangemode.setter
-    def rangemode(self, val):
-        self["rangemode"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis.rangeslider"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        range
-            Sets the range of this axis for the rangeslider.
-        rangemode
-            Determines whether or not the range of this axis in the
-            rangeslider use the same value than in the main plot
-            when zooming in/out. If "auto", the autorange will be
-            used. If "fixed", the `range` is used. If "match", the
-            current range of the corresponding y-axis on the main
-            subplot is used.
-        """
-
-    def __init__(self, arg=None, range=None, rangemode=None, **kwargs):
-        """
-        Construct a new YAxis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.layout.xaxis.r
-            angeslider.YAxis`
-        range
-            Sets the range of this axis for the rangeslider.
-        rangemode
-            Determines whether or not the range of this axis in the
-            rangeslider use the same value than in the main plot
-            when zooming in/out. If "auto", the autorange will be
-            used. If "fixed", the `range` is used. If "match", the
-            current range of the corresponding y-axis on the main
-            subplot is used.
-
-        Returns
-        -------
-        YAxis
-        """
-        super(YAxis, self).__init__("yaxis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.rangeslider.YAxis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.rangeslider.YAxis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis.rangeslider import yaxis as v_yaxis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["range"] = v_yaxis.RangeValidator()
-        self._validators["rangemode"] = v_yaxis.RangemodeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("rangemode", None)
-        self["rangemode"] = rangemode if rangemode is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["YAxis"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._yaxis.YAxis"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/_yaxis.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/_yaxis.py
new file mode 100644
index 00000000000..c2b54e71256
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/rangeslider/_yaxis.py
@@ -0,0 +1,144 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class YAxis(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis.rangeslider"
+    _path_str = "layout.xaxis.rangeslider.yaxis"
+    _valid_props = {"range", "rangemode"}
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        Sets the range of this axis for the rangeslider.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property accepts values of any type
+    (1) The 'range[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # rangemode
+    # ---------
+    @property
+    def rangemode(self):
+        """
+        Determines whether or not the range of this axis in the
+        rangeslider use the same value than in the main plot when
+        zooming in/out. If "auto", the autorange will be used. If
+        "fixed", the `range` is used. If "match", the current range of
+        the corresponding y-axis on the main subplot is used.
+    
+        The 'rangemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'fixed', 'match']
+
+        Returns
+        -------
+        Any
+        """
+        return self["rangemode"]
+
+    @rangemode.setter
+    def rangemode(self, val):
+        self["rangemode"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        range
+            Sets the range of this axis for the rangeslider.
+        rangemode
+            Determines whether or not the range of this axis in the
+            rangeslider use the same value than in the main plot
+            when zooming in/out. If "auto", the autorange will be
+            used. If "fixed", the `range` is used. If "match", the
+            current range of the corresponding y-axis on the main
+            subplot is used.
+        """
+
+    def __init__(self, arg=None, range=None, rangemode=None, **kwargs):
+        """
+        Construct a new YAxis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.layout.xaxis.r
+            angeslider.YAxis`
+        range
+            Sets the range of this axis for the rangeslider.
+        rangemode
+            Determines whether or not the range of this axis in the
+            rangeslider use the same value than in the main plot
+            when zooming in/out. If "auto", the autorange will be
+            used. If "fixed", the `range` is used. If "match", the
+            current range of the corresponding y-axis on the main
+            subplot is used.
+
+        Returns
+        -------
+        YAxis
+        """
+        super(YAxis, self).__init__("yaxis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.rangeslider.YAxis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.rangeslider.YAxis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("rangemode", None)
+        _v = rangemode if rangemode is not None else _v
+        if _v is not None:
+            self["rangemode"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/__init__.py
index 8398548d751..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.xaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.xaxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.xaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.xaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.xaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/_font.py
new file mode 100644
index 00000000000..45edc4fe693
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/xaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.xaxis.title"
+    _path_str = "layout.xaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.xaxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.xaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.xaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/__init__.py
index e6cdefe5470..e8855f21288 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/yaxis/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/__init__.py
@@ -1,1117 +1,21 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Title(_BaseLayoutHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.layout.yaxis.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # standoff
-    # --------
-    @property
-    def standoff(self):
-        """
-        Sets the standoff distance (in px) between the axis labels and
-        the title text The default value is a function of the axis tick
-        labels, the title `font.size` and the axis `linewidth`. Note
-        that the axis title position is always constrained within the
-        margins, so the actual standoff distance is always less than
-        the set or default value. By setting `standoff` and turning on
-        `automargin`, plotly.js will push the margins to fit the axis
-        title at given standoff distance.
-    
-        The 'standoff' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["standoff"]
-
-    @standoff.setter
-    def standoff(self, val):
-        self["standoff"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of this axis. Note that before the existence of
-        `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        standoff
-            Sets the standoff distance (in px) between the axis
-            labels and the title text The default value is a
-            function of the axis tick labels, the title `font.size`
-            and the axis `linewidth`. Note that the axis title
-            position is always constrained within the margins, so
-            the actual standoff distance is always less than the
-            set or default value. By setting `standoff` and turning
-            on `automargin`, plotly.js will push the margins to fit
-            the axis title at given standoff distance.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, standoff=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.yaxis.Title`
-        font
-            Sets this axis' title font. Note that the title's font
-            used to be customized by the now deprecated `titlefont`
-            attribute.
-        standoff
-            Sets the standoff distance (in px) between the axis
-            labels and the title text The default value is a
-            function of the axis tick labels, the title `font.size`
-            and the axis `linewidth`. Note that the axis title
-            position is always constrained within the margins, so
-            the actual standoff distance is always less than the
-            set or default value. By setting `standoff` and turning
-            on `automargin`, plotly.js will push the margins to fit
-            the axis title at given standoff distance.
-        text
-            Sets the title of this axis. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.yaxis.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.yaxis.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.yaxis import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["standoff"] = v_title.StandoffValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("standoff", None)
-        self["standoff"] = standoff if standoff is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseLayoutHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.yaxis.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.yaxis import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the tick font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.yaxis.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.yaxis.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.yaxis.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.yaxis import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
-
-
-class Rangebreak(_BaseLayoutHierarchyType):
-
-    # bounds
-    # ------
-    @property
-    def bounds(self):
-        """
-        Sets the lower and upper bounds of this axis rangebreak. Can be
-        used with `pattern`.
-    
-        The 'bounds' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'bounds[0]' property accepts values of any type
-    (1) The 'bounds[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["bounds"]
-
-    @bounds.setter
-    def bounds(self, val):
-        self["bounds"] = val
-
-    # dvalue
-    # ------
-    @property
-    def dvalue(self):
-        """
-        Sets the size of each `values` item. The default is one day in
-        milliseconds.
-    
-        The 'dvalue' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["dvalue"]
-
-    @dvalue.setter
-    def dvalue(self, val):
-        self["dvalue"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether this axis rangebreak is enabled or disabled.
-        Please note that `rangebreaks` only work for "date" axis type.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # pattern
-    # -------
-    @property
-    def pattern(self):
-        """
-        Determines a pattern on the time line that generates breaks. If
-        *day of week* - days of the week in English e.g. 'Sunday' or
-        `sun` (matching is case-insensitive and considers only the
-        first three characters), as well as Sunday-based integers
-        between 0 and 6. If "hour" - hour (24-hour clock) as decimal
-        numbers between 0 and 24. for more info. Examples: - { pattern:
-        'day of week', bounds: [6, 1] }  or simply { bounds: ['sat',
-        'mon'] }   breaks from Saturday to Monday (i.e. skips the
-        weekends). - { pattern: 'hour', bounds: [17, 8] }   breaks from
-        5pm to 8am (i.e. skips non-work hours).
-    
-        The 'pattern' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['day of week', 'hour', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["pattern"]
-
-    @pattern.setter
-    def pattern(self, val):
-        self["pattern"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the coordinate values corresponding to the rangebreaks. An
-        alternative to `bounds`. Use `dvalue` to set the size of the
-        values along the axis.
-    
-        The 'values' property is an info array that may be specified as:
-        * a list of elements where:
-          The 'values[i]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.yaxis"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bounds
-            Sets the lower and upper bounds of this axis
-            rangebreak. Can be used with `pattern`.
-        dvalue
-            Sets the size of each `values` item. The default is one
-            day in milliseconds.
-        enabled
-            Determines whether this axis rangebreak is enabled or
-            disabled. Please note that `rangebreaks` only work for
-            "date" axis type.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pattern
-            Determines a pattern on the time line that generates
-            breaks. If *day of week* - days of the week in English
-            e.g. 'Sunday' or `sun` (matching is case-insensitive
-            and considers only the first three characters), as well
-            as Sunday-based integers between 0 and 6. If "hour" -
-            hour (24-hour clock) as decimal numbers between 0 and
-            24. for more info. Examples: - { pattern: 'day of
-            week', bounds: [6, 1] }  or simply { bounds: ['sat',
-            'mon'] }   breaks from Saturday to Monday (i.e. skips
-            the weekends). - { pattern: 'hour', bounds: [17, 8] }
-            breaks from 5pm to 8am (i.e. skips non-work hours).
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        values
-            Sets the coordinate values corresponding to the
-            rangebreaks. An alternative to `bounds`. Use `dvalue`
-            to set the size of the values along the axis.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        bounds=None,
-        dvalue=None,
-        enabled=None,
-        name=None,
-        pattern=None,
-        templateitemname=None,
-        values=None,
-        **kwargs
-    ):
-        """
-        Construct a new Rangebreak object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.yaxis.Rangebreak`
-        bounds
-            Sets the lower and upper bounds of this axis
-            rangebreak. Can be used with `pattern`.
-        dvalue
-            Sets the size of each `values` item. The default is one
-            day in milliseconds.
-        enabled
-            Determines whether this axis rangebreak is enabled or
-            disabled. Please note that `rangebreaks` only work for
-            "date" axis type.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        pattern
-            Determines a pattern on the time line that generates
-            breaks. If *day of week* - days of the week in English
-            e.g. 'Sunday' or `sun` (matching is case-insensitive
-            and considers only the first three characters), as well
-            as Sunday-based integers between 0 and 6. If "hour" -
-            hour (24-hour clock) as decimal numbers between 0 and
-            24. for more info. Examples: - { pattern: 'day of
-            week', bounds: [6, 1] }  or simply { bounds: ['sat',
-            'mon'] }   breaks from Saturday to Monday (i.e. skips
-            the weekends). - { pattern: 'hour', bounds: [17, 8] }
-            breaks from 5pm to 8am (i.e. skips non-work hours).
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        values
-            Sets the coordinate values corresponding to the
-            rangebreaks. An alternative to `bounds`. Use `dvalue`
-            to set the size of the values along the axis.
-
-        Returns
-        -------
-        Rangebreak
-        """
-        super(Rangebreak, self).__init__("rangebreaks")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.yaxis.Rangebreak 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.yaxis.Rangebreak`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.yaxis import rangebreak as v_rangebreak
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bounds"] = v_rangebreak.BoundsValidator()
-        self._validators["dvalue"] = v_rangebreak.DvalueValidator()
-        self._validators["enabled"] = v_rangebreak.EnabledValidator()
-        self._validators["name"] = v_rangebreak.NameValidator()
-        self._validators["pattern"] = v_rangebreak.PatternValidator()
-        self._validators["templateitemname"] = v_rangebreak.TemplateitemnameValidator()
-        self._validators["values"] = v_rangebreak.ValuesValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bounds", None)
-        self["bounds"] = bounds if bounds is not None else _v
-        _v = arg.pop("dvalue", None)
-        self["dvalue"] = dvalue if dvalue is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("pattern", None)
-        self["pattern"] = pattern if pattern is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Rangebreak",
-    "Rangebreak",
-    "Tickfont",
-    "Tickformatstop",
-    "Tickformatstop",
-    "Title",
-    "title",
-]
-
-from plotly.graph_objs.layout.yaxis import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from ._rangebreak import Rangebreak
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        [
+            "._title.Title",
+            "._tickformatstop.Tickformatstop",
+            "._tickfont.Tickfont",
+            "._rangebreak.Rangebreak",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/_rangebreak.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_rangebreak.py
new file mode 100644
index 00000000000..85ae7226c8e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_rangebreak.py
@@ -0,0 +1,381 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Rangebreak(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.yaxis"
+    _path_str = "layout.yaxis.rangebreak"
+    _valid_props = {
+        "bounds",
+        "dvalue",
+        "enabled",
+        "name",
+        "pattern",
+        "templateitemname",
+        "values",
+    }
+
+    # bounds
+    # ------
+    @property
+    def bounds(self):
+        """
+        Sets the lower and upper bounds of this axis rangebreak. Can be
+        used with `pattern`.
+    
+        The 'bounds' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'bounds[0]' property accepts values of any type
+    (1) The 'bounds[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["bounds"]
+
+    @bounds.setter
+    def bounds(self, val):
+        self["bounds"] = val
+
+    # dvalue
+    # ------
+    @property
+    def dvalue(self):
+        """
+        Sets the size of each `values` item. The default is one day in
+        milliseconds.
+    
+        The 'dvalue' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["dvalue"]
+
+    @dvalue.setter
+    def dvalue(self, val):
+        self["dvalue"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether this axis rangebreak is enabled or disabled.
+        Please note that `rangebreaks` only work for "date" axis type.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # pattern
+    # -------
+    @property
+    def pattern(self):
+        """
+        Determines a pattern on the time line that generates breaks. If
+        *day of week* - days of the week in English e.g. 'Sunday' or
+        `sun` (matching is case-insensitive and considers only the
+        first three characters), as well as Sunday-based integers
+        between 0 and 6. If "hour" - hour (24-hour clock) as decimal
+        numbers between 0 and 24. for more info. Examples: - { pattern:
+        'day of week', bounds: [6, 1] }  or simply { bounds: ['sat',
+        'mon'] }   breaks from Saturday to Monday (i.e. skips the
+        weekends). - { pattern: 'hour', bounds: [17, 8] }   breaks from
+        5pm to 8am (i.e. skips non-work hours).
+    
+        The 'pattern' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['day of week', 'hour', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["pattern"]
+
+    @pattern.setter
+    def pattern(self, val):
+        self["pattern"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the coordinate values corresponding to the rangebreaks. An
+        alternative to `bounds`. Use `dvalue` to set the size of the
+        values along the axis.
+    
+        The 'values' property is an info array that may be specified as:
+        * a list of elements where:
+          The 'values[i]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bounds
+            Sets the lower and upper bounds of this axis
+            rangebreak. Can be used with `pattern`.
+        dvalue
+            Sets the size of each `values` item. The default is one
+            day in milliseconds.
+        enabled
+            Determines whether this axis rangebreak is enabled or
+            disabled. Please note that `rangebreaks` only work for
+            "date" axis type.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pattern
+            Determines a pattern on the time line that generates
+            breaks. If *day of week* - days of the week in English
+            e.g. 'Sunday' or `sun` (matching is case-insensitive
+            and considers only the first three characters), as well
+            as Sunday-based integers between 0 and 6. If "hour" -
+            hour (24-hour clock) as decimal numbers between 0 and
+            24. for more info. Examples: - { pattern: 'day of
+            week', bounds: [6, 1] }  or simply { bounds: ['sat',
+            'mon'] }   breaks from Saturday to Monday (i.e. skips
+            the weekends). - { pattern: 'hour', bounds: [17, 8] }
+            breaks from 5pm to 8am (i.e. skips non-work hours).
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        values
+            Sets the coordinate values corresponding to the
+            rangebreaks. An alternative to `bounds`. Use `dvalue`
+            to set the size of the values along the axis.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        bounds=None,
+        dvalue=None,
+        enabled=None,
+        name=None,
+        pattern=None,
+        templateitemname=None,
+        values=None,
+        **kwargs
+    ):
+        """
+        Construct a new Rangebreak object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.yaxis.Rangebreak`
+        bounds
+            Sets the lower and upper bounds of this axis
+            rangebreak. Can be used with `pattern`.
+        dvalue
+            Sets the size of each `values` item. The default is one
+            day in milliseconds.
+        enabled
+            Determines whether this axis rangebreak is enabled or
+            disabled. Please note that `rangebreaks` only work for
+            "date" axis type.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        pattern
+            Determines a pattern on the time line that generates
+            breaks. If *day of week* - days of the week in English
+            e.g. 'Sunday' or `sun` (matching is case-insensitive
+            and considers only the first three characters), as well
+            as Sunday-based integers between 0 and 6. If "hour" -
+            hour (24-hour clock) as decimal numbers between 0 and
+            24. for more info. Examples: - { pattern: 'day of
+            week', bounds: [6, 1] }  or simply { bounds: ['sat',
+            'mon'] }   breaks from Saturday to Monday (i.e. skips
+            the weekends). - { pattern: 'hour', bounds: [17, 8] }
+            breaks from 5pm to 8am (i.e. skips non-work hours).
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        values
+            Sets the coordinate values corresponding to the
+            rangebreaks. An alternative to `bounds`. Use `dvalue`
+            to set the size of the values along the axis.
+
+        Returns
+        -------
+        Rangebreak
+        """
+        super(Rangebreak, self).__init__("rangebreaks")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.yaxis.Rangebreak 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.yaxis.Rangebreak`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bounds", None)
+        _v = bounds if bounds is not None else _v
+        if _v is not None:
+            self["bounds"] = _v
+        _v = arg.pop("dvalue", None)
+        _v = dvalue if dvalue is not None else _v
+        if _v is not None:
+            self["dvalue"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("pattern", None)
+        _v = pattern if pattern is not None else _v
+        if _v is not None:
+            self["pattern"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickfont.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickfont.py
new file mode 100644
index 00000000000..3740ec87b17
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.yaxis"
+    _path_str = "layout.yaxis.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the tick font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.yaxis.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.yaxis.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.yaxis.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickformatstop.py
new file mode 100644
index 00000000000..4a7edb409f3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.yaxis"
+    _path_str = "layout.yaxis.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.yaxis.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.yaxis.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/_title.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_title.py
new file mode 100644
index 00000000000..882b6ed18c1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/_title.py
@@ -0,0 +1,217 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Title(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.yaxis"
+    _path_str = "layout.yaxis.title"
+    _valid_props = {"font", "standoff", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.layout.yaxis.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # standoff
+    # --------
+    @property
+    def standoff(self):
+        """
+        Sets the standoff distance (in px) between the axis labels and
+        the title text The default value is a function of the axis tick
+        labels, the title `font.size` and the axis `linewidth`. Note
+        that the axis title position is always constrained within the
+        margins, so the actual standoff distance is always less than
+        the set or default value. By setting `standoff` and turning on
+        `automargin`, plotly.js will push the margins to fit the axis
+        title at given standoff distance.
+    
+        The 'standoff' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["standoff"]
+
+    @standoff.setter
+    def standoff(self, val):
+        self["standoff"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of this axis. Note that before the existence of
+        `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        standoff
+            Sets the standoff distance (in px) between the axis
+            labels and the title text The default value is a
+            function of the axis tick labels, the title `font.size`
+            and the axis `linewidth`. Note that the axis title
+            position is always constrained within the margins, so
+            the actual standoff distance is always less than the
+            set or default value. By setting `standoff` and turning
+            on `automargin`, plotly.js will push the margins to fit
+            the axis title at given standoff distance.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, standoff=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.yaxis.Title`
+        font
+            Sets this axis' title font. Note that the title's font
+            used to be customized by the now deprecated `titlefont`
+            attribute.
+        standoff
+            Sets the standoff distance (in px) between the axis
+            labels and the title text The default value is a
+            function of the axis tick labels, the title `font.size`
+            and the axis `linewidth`. Note that the axis title
+            position is always constrained within the margins, so
+            the actual standoff distance is always less than the
+            set or default value. By setting `standoff` and turning
+            on `automargin`, plotly.js will push the margins to fit
+            the axis title at given standoff distance.
+        text
+            Sets the title of this axis. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.yaxis.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.yaxis.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("standoff", None)
+        _v = standoff if standoff is not None else _v
+        if _v is not None:
+            self["standoff"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/__init__.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/__init__.py
index 6d273457ad6..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseLayoutHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "layout.yaxis.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this axis' title font. Note that the title's font used to
-        be customized by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.layout.yaxis.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.layout.yaxis.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.layout.yaxis.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/_font.py b/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/_font.py
new file mode 100644
index 00000000000..9aa6d017641
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/layout/yaxis/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
+import copy as _copy
+
+
+class Font(_BaseLayoutHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "layout.yaxis.title"
+    _path_str = "layout.yaxis.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this axis' title font. Note that the title's font used to
+        be customized by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.layout.yaxis.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.layout.yaxis.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.layout.yaxis.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/__init__.py b/packages/python/plotly/plotly/graph_objs/mesh3d/__init__.py
index f946e4f1468..1a78018c947 100644
--- a/packages/python/plotly/plotly/graph_objs/mesh3d/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/__init__.py
@@ -1,3175 +1,26 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.mesh3d.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lightposition(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Numeric vector, representing the X coordinate for each vertex.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Numeric vector, representing the Y coordinate for each vertex.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Numeric vector, representing the Z coordinate for each vertex.
-    
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Lightposition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.Lightposition`
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-
-        Returns
-        -------
-        Lightposition
-        """
-        super(Lightposition, self).__init__("lightposition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.Lightposition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.Lightposition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d import lightposition as v_lightposition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_lightposition.XValidator()
-        self._validators["y"] = v_lightposition.YValidator()
-        self._validators["z"] = v_lightposition.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lighting(_BaseTraceHierarchyType):
-
-    # ambient
-    # -------
-    @property
-    def ambient(self):
-        """
-        Ambient light increases overall color visibility but can wash
-        out the image.
-    
-        The 'ambient' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ambient"]
-
-    @ambient.setter
-    def ambient(self, val):
-        self["ambient"] = val
-
-    # diffuse
-    # -------
-    @property
-    def diffuse(self):
-        """
-        Represents the extent that incident rays are reflected in a
-        range of angles.
-    
-        The 'diffuse' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["diffuse"]
-
-    @diffuse.setter
-    def diffuse(self, val):
-        self["diffuse"] = val
-
-    # facenormalsepsilon
-    # ------------------
-    @property
-    def facenormalsepsilon(self):
-        """
-        Epsilon for face normals calculation avoids math issues arising
-        from degenerate geometry.
-    
-        The 'facenormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["facenormalsepsilon"]
-
-    @facenormalsepsilon.setter
-    def facenormalsepsilon(self, val):
-        self["facenormalsepsilon"] = val
-
-    # fresnel
-    # -------
-    @property
-    def fresnel(self):
-        """
-        Represents the reflectance as a dependency of the viewing
-        angle; e.g. paper is reflective when viewing it from the edge
-        of the paper (almost 90 degrees), causing shine.
-    
-        The 'fresnel' property is a number and may be specified as:
-          - An int or float in the interval [0, 5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fresnel"]
-
-    @fresnel.setter
-    def fresnel(self, val):
-        self["fresnel"] = val
-
-    # roughness
-    # ---------
-    @property
-    def roughness(self):
-        """
-        Alters specular reflection; the rougher the surface, the wider
-        and less contrasty the shine.
-    
-        The 'roughness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roughness"]
-
-    @roughness.setter
-    def roughness(self, val):
-        self["roughness"] = val
-
-    # specular
-    # --------
-    @property
-    def specular(self):
-        """
-        Represents the level that incident rays are reflected in a
-        single direction, causing shine.
-    
-        The 'specular' property is a number and may be specified as:
-          - An int or float in the interval [0, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["specular"]
-
-    @specular.setter
-    def specular(self, val):
-        self["specular"] = val
-
-    # vertexnormalsepsilon
-    # --------------------
-    @property
-    def vertexnormalsepsilon(self):
-        """
-        Epsilon for vertex normals calculation avoids math issues
-        arising from degenerate geometry.
-    
-        The 'vertexnormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["vertexnormalsepsilon"]
-
-    @vertexnormalsepsilon.setter
-    def vertexnormalsepsilon(self, val):
-        self["vertexnormalsepsilon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        ambient=None,
-        diffuse=None,
-        facenormalsepsilon=None,
-        fresnel=None,
-        roughness=None,
-        specular=None,
-        vertexnormalsepsilon=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lighting object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.Lighting`
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-
-        Returns
-        -------
-        Lighting
-        """
-        super(Lighting, self).__init__("lighting")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.Lighting 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.Lighting`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d import lighting as v_lighting
-
-        # Initialize validators
-        # ---------------------
-        self._validators["ambient"] = v_lighting.AmbientValidator()
-        self._validators["diffuse"] = v_lighting.DiffuseValidator()
-        self._validators[
-            "facenormalsepsilon"
-        ] = v_lighting.FacenormalsepsilonValidator()
-        self._validators["fresnel"] = v_lighting.FresnelValidator()
-        self._validators["roughness"] = v_lighting.RoughnessValidator()
-        self._validators["specular"] = v_lighting.SpecularValidator()
-        self._validators[
-            "vertexnormalsepsilon"
-        ] = v_lighting.VertexnormalsepsilonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("ambient", None)
-        self["ambient"] = ambient if ambient is not None else _v
-        _v = arg.pop("diffuse", None)
-        self["diffuse"] = diffuse if diffuse is not None else _v
-        _v = arg.pop("facenormalsepsilon", None)
-        self["facenormalsepsilon"] = (
-            facenormalsepsilon if facenormalsepsilon is not None else _v
-        )
-        _v = arg.pop("fresnel", None)
-        self["fresnel"] = fresnel if fresnel is not None else _v
-        _v = arg.pop("roughness", None)
-        self["roughness"] = roughness if roughness is not None else _v
-        _v = arg.pop("specular", None)
-        self["specular"] = specular if specular is not None else _v
-        _v = arg.pop("vertexnormalsepsilon", None)
-        self["vertexnormalsepsilon"] = (
-            vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
-        )
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contour(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour lines.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets whether or not dynamic contours are shown on hover
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the contour lines.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour lines.
-        show
-            Sets whether or not dynamic contours are shown on hover
-        width
-            Sets the width of the contour lines.
-        """
-
-    def __init__(self, arg=None, color=None, show=None, width=None, **kwargs):
-        """
-        Construct a new Contour object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.Contour`
-        color
-            Sets the color of the contour lines.
-        show
-            Sets whether or not dynamic contours are shown on hover
-        width
-            Sets the width of the contour lines.
-
-        Returns
-        -------
-        Contour
-        """
-        super(Contour, self).__init__("contour")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.Contour 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.Contour`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d import contour as v_contour
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_contour.ColorValidator()
-        self._validators["show"] = v_contour.ShowValidator()
-        self._validators["width"] = v_contour.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.mesh3d.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.mesh3d.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.mesh3d.colorbar.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        mesh3d.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use mesh3d.colorbar.title.font instead. Sets
-        this color bar's title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use mesh3d.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.mesh3d.colorbar
-            .Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.mesh3d
-            .colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            mesh3d.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.mesh3d.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use mesh3d.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use mesh3d.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.mesh3d.colorbar
-            .Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.mesh3d
-            .colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            mesh3d.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.mesh3d.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use mesh3d.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use mesh3d.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Contour",
-    "Hoverlabel",
-    "Lighting",
-    "Lightposition",
-    "Stream",
-    "colorbar",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.mesh3d import hoverlabel
-from plotly.graph_objs.mesh3d import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._lightposition import Lightposition
+    from ._lighting import Lighting
+    from ._hoverlabel import Hoverlabel
+    from ._contour import Contour
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        [
+            "._stream.Stream",
+            "._lightposition.Lightposition",
+            "._lighting.Lighting",
+            "._hoverlabel.Hoverlabel",
+            "._contour.Contour",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/_colorbar.py b/packages/python/plotly/plotly/graph_objs/mesh3d/_colorbar.py
new file mode 100644
index 00000000000..8634ce1b5aa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/_colorbar.py
@@ -0,0 +1,1940 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d"
+    _path_str = "mesh3d.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.mesh3d.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.mesh3d.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.mesh3d.colorbar.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        mesh3d.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use mesh3d.colorbar.title.font instead. Sets
+        this color bar's title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use mesh3d.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.mesh3d.colorbar
+            .Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.mesh3d
+            .colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            mesh3d.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.mesh3d.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use mesh3d.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use mesh3d.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.mesh3d.colorbar
+            .Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.mesh3d
+            .colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            mesh3d.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.mesh3d.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use mesh3d.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use mesh3d.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/_contour.py b/packages/python/plotly/plotly/graph_objs/mesh3d/_contour.py
new file mode 100644
index 00000000000..ea15c4c4125
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/_contour.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contour(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d"
+    _path_str = "mesh3d.contour"
+    _valid_props = {"color", "show", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour lines.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets whether or not dynamic contours are shown on hover
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the contour lines.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour lines.
+        show
+            Sets whether or not dynamic contours are shown on hover
+        width
+            Sets the width of the contour lines.
+        """
+
+    def __init__(self, arg=None, color=None, show=None, width=None, **kwargs):
+        """
+        Construct a new Contour object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.Contour`
+        color
+            Sets the color of the contour lines.
+        show
+            Sets whether or not dynamic contours are shown on hover
+        width
+            Sets the width of the contour lines.
+
+        Returns
+        -------
+        Contour
+        """
+        super(Contour, self).__init__("contour")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.Contour 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.Contour`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/mesh3d/_hoverlabel.py
new file mode 100644
index 00000000000..3a2ffbff098
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d"
+    _path_str = "mesh3d.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/_lighting.py b/packages/python/plotly/plotly/graph_objs/mesh3d/_lighting.py
new file mode 100644
index 00000000000..d142adc983a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/_lighting.py
@@ -0,0 +1,311 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lighting(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d"
+    _path_str = "mesh3d.lighting"
+    _valid_props = {
+        "ambient",
+        "diffuse",
+        "facenormalsepsilon",
+        "fresnel",
+        "roughness",
+        "specular",
+        "vertexnormalsepsilon",
+    }
+
+    # ambient
+    # -------
+    @property
+    def ambient(self):
+        """
+        Ambient light increases overall color visibility but can wash
+        out the image.
+    
+        The 'ambient' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ambient"]
+
+    @ambient.setter
+    def ambient(self, val):
+        self["ambient"] = val
+
+    # diffuse
+    # -------
+    @property
+    def diffuse(self):
+        """
+        Represents the extent that incident rays are reflected in a
+        range of angles.
+    
+        The 'diffuse' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["diffuse"]
+
+    @diffuse.setter
+    def diffuse(self, val):
+        self["diffuse"] = val
+
+    # facenormalsepsilon
+    # ------------------
+    @property
+    def facenormalsepsilon(self):
+        """
+        Epsilon for face normals calculation avoids math issues arising
+        from degenerate geometry.
+    
+        The 'facenormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["facenormalsepsilon"]
+
+    @facenormalsepsilon.setter
+    def facenormalsepsilon(self, val):
+        self["facenormalsepsilon"] = val
+
+    # fresnel
+    # -------
+    @property
+    def fresnel(self):
+        """
+        Represents the reflectance as a dependency of the viewing
+        angle; e.g. paper is reflective when viewing it from the edge
+        of the paper (almost 90 degrees), causing shine.
+    
+        The 'fresnel' property is a number and may be specified as:
+          - An int or float in the interval [0, 5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fresnel"]
+
+    @fresnel.setter
+    def fresnel(self, val):
+        self["fresnel"] = val
+
+    # roughness
+    # ---------
+    @property
+    def roughness(self):
+        """
+        Alters specular reflection; the rougher the surface, the wider
+        and less contrasty the shine.
+    
+        The 'roughness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roughness"]
+
+    @roughness.setter
+    def roughness(self, val):
+        self["roughness"] = val
+
+    # specular
+    # --------
+    @property
+    def specular(self):
+        """
+        Represents the level that incident rays are reflected in a
+        single direction, causing shine.
+    
+        The 'specular' property is a number and may be specified as:
+          - An int or float in the interval [0, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["specular"]
+
+    @specular.setter
+    def specular(self, val):
+        self["specular"] = val
+
+    # vertexnormalsepsilon
+    # --------------------
+    @property
+    def vertexnormalsepsilon(self):
+        """
+        Epsilon for vertex normals calculation avoids math issues
+        arising from degenerate geometry.
+    
+        The 'vertexnormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["vertexnormalsepsilon"]
+
+    @vertexnormalsepsilon.setter
+    def vertexnormalsepsilon(self, val):
+        self["vertexnormalsepsilon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        ambient=None,
+        diffuse=None,
+        facenormalsepsilon=None,
+        fresnel=None,
+        roughness=None,
+        specular=None,
+        vertexnormalsepsilon=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lighting object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.Lighting`
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+
+        Returns
+        -------
+        Lighting
+        """
+        super(Lighting, self).__init__("lighting")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.Lighting 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.Lighting`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("ambient", None)
+        _v = ambient if ambient is not None else _v
+        if _v is not None:
+            self["ambient"] = _v
+        _v = arg.pop("diffuse", None)
+        _v = diffuse if diffuse is not None else _v
+        if _v is not None:
+            self["diffuse"] = _v
+        _v = arg.pop("facenormalsepsilon", None)
+        _v = facenormalsepsilon if facenormalsepsilon is not None else _v
+        if _v is not None:
+            self["facenormalsepsilon"] = _v
+        _v = arg.pop("fresnel", None)
+        _v = fresnel if fresnel is not None else _v
+        if _v is not None:
+            self["fresnel"] = _v
+        _v = arg.pop("roughness", None)
+        _v = roughness if roughness is not None else _v
+        if _v is not None:
+            self["roughness"] = _v
+        _v = arg.pop("specular", None)
+        _v = specular if specular is not None else _v
+        if _v is not None:
+            self["specular"] = _v
+        _v = arg.pop("vertexnormalsepsilon", None)
+        _v = vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
+        if _v is not None:
+            self["vertexnormalsepsilon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/_lightposition.py b/packages/python/plotly/plotly/graph_objs/mesh3d/_lightposition.py
new file mode 100644
index 00000000000..941874eebac
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/_lightposition.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lightposition(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d"
+    _path_str = "mesh3d.lightposition"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Numeric vector, representing the X coordinate for each vertex.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Numeric vector, representing the Y coordinate for each vertex.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Numeric vector, representing the Z coordinate for each vertex.
+    
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Lightposition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.Lightposition`
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+
+        Returns
+        -------
+        Lightposition
+        """
+        super(Lightposition, self).__init__("lightposition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.Lightposition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.Lightposition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/_stream.py b/packages/python/plotly/plotly/graph_objs/mesh3d/_stream.py
new file mode 100644
index 00000000000..4fa2669dd18
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d"
+    _path_str = "mesh3d.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.mesh3d.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/__init__.py
index af309f38ff0..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/__init__.py
@@ -1,722 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.mesh3d.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.mesh3d.colorba
-            r.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d.colorbar import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.mesh3d.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_tickfont.py
new file mode 100644
index 00000000000..b4d1c334b98
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d.colorbar"
+    _path_str = "mesh3d.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..31af9b9f23c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d.colorbar"
+    _path_str = "mesh3d.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.mesh3d.colorba
+            r.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_title.py
new file mode 100644
index 00000000000..82f0117678a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d.colorbar"
+    _path_str = "mesh3d.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.mesh3d.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/__init__.py
index 9d2b9470e13..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/_font.py
new file mode 100644
index 00000000000..2888848d997
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d.colorbar.title"
+    _path_str = "mesh3d.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/__init__.py
index 13a81572f68..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "mesh3d.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.mesh3d.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.mesh3d.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.mesh3d.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.mesh3d.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/_font.py
new file mode 100644
index 00000000000..e199461dd22
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/mesh3d/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "mesh3d.hoverlabel"
+    _path_str = "mesh3d.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.mesh3d.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.mesh3d.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.mesh3d.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/__init__.py b/packages/python/plotly/plotly/graph_objs/ohlc/__init__.py
index 860c6444a67..12b1a76d937 100644
--- a/packages/python/plotly/plotly/graph_objs/ohlc/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/__init__.py
@@ -1,1061 +1,25 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.ohlc.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px"). Note that this style setting can also be
-        set per direction via `increasing.line.dash` and
-        `decreasing.line.dash`.
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        [object Object] Note that this style setting can also be set
-        per direction via `increasing.line.width` and
-        `decreasing.line.width`.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px"). Note that this style setting can
-            also be set per direction via `increasing.line.dash`
-            and `decreasing.line.dash`.
-        width
-            [object Object] Note that this style setting can also
-            be set per direction via `increasing.line.width` and
-            `decreasing.line.width`.
-        """
-
-    def __init__(self, arg=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.ohlc.Line`
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px"). Note that this style setting can
-            also be set per direction via `increasing.line.dash`
-            and `decreasing.line.dash`.
-        width
-            [object Object] Note that this style setting can also
-            be set per direction via `increasing.line.width` and
-            `decreasing.line.width`.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Increasing(_BaseTraceHierarchyType):
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.increasing.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.increasing.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        line
-            :class:`plotly.graph_objects.ohlc.increasing.Line`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, line=None, **kwargs):
-        """
-        Construct a new Increasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.ohlc.Increasing`
-        line
-            :class:`plotly.graph_objects.ohlc.increasing.Line`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Increasing
-        """
-        super(Increasing, self).__init__("increasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.Increasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.Increasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc import increasing as v_increasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["line"] = v_increasing.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # split
-    # -----
-    @property
-    def split(self):
-        """
-        Show hover information (open, close, high, low) in separate
-        labels.
-    
-        The 'split' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["split"]
-
-    @split.setter
-    def split(self, val):
-        self["split"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        split
-            Show hover information (open, close, high, low) in
-            separate labels.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        split=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.ohlc.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        split
-            Show hover information (open, close, high, low) in
-            separate labels.
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-        self._validators["split"] = v_hoverlabel.SplitValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-        _v = arg.pop("split", None)
-        self["split"] = split if split is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Decreasing(_BaseTraceHierarchyType):
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.ohlc.decreasing.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.ohlc.decreasing.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        line
-            :class:`plotly.graph_objects.ohlc.decreasing.Line`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, line=None, **kwargs):
-        """
-        Construct a new Decreasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.ohlc.Decreasing`
-        line
-            :class:`plotly.graph_objects.ohlc.decreasing.Line`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Decreasing
-        """
-        super(Decreasing, self).__init__("decreasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.Decreasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.Decreasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc import decreasing as v_decreasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["line"] = v_decreasing.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Decreasing",
-    "Hoverlabel",
-    "Increasing",
-    "Line",
-    "Stream",
-    "decreasing",
-    "hoverlabel",
-    "increasing",
-]
-
-from plotly.graph_objs.ohlc import increasing
-from plotly.graph_objs.ohlc import hoverlabel
-from plotly.graph_objs.ohlc import decreasing
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._line import Line
+    from ._increasing import Increasing
+    from ._hoverlabel import Hoverlabel
+    from ._decreasing import Decreasing
+    from . import increasing
+    from . import hoverlabel
+    from . import decreasing
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".increasing", ".hoverlabel", ".decreasing"],
+        [
+            "._stream.Stream",
+            "._line.Line",
+            "._increasing.Increasing",
+            "._hoverlabel.Hoverlabel",
+            "._decreasing.Decreasing",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/_decreasing.py b/packages/python/plotly/plotly/graph_objs/ohlc/_decreasing.py
new file mode 100644
index 00000000000..d548376e037
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/_decreasing.py
@@ -0,0 +1,113 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Decreasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc"
+    _path_str = "ohlc.decreasing"
+    _valid_props = {"line"}
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.decreasing.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.decreasing.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        line
+            :class:`plotly.graph_objects.ohlc.decreasing.Line`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, line=None, **kwargs):
+        """
+        Construct a new Decreasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.ohlc.Decreasing`
+        line
+            :class:`plotly.graph_objects.ohlc.decreasing.Line`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Decreasing
+        """
+        super(Decreasing, self).__init__("decreasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.Decreasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.Decreasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/ohlc/_hoverlabel.py
new file mode 100644
index 00000000000..8f545bb9475
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/_hoverlabel.py
@@ -0,0 +1,535 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc"
+    _path_str = "ohlc.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+        "split",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # split
+    # -----
+    @property
+    def split(self):
+        """
+        Show hover information (open, close, high, low) in separate
+        labels.
+    
+        The 'split' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["split"]
+
+    @split.setter
+    def split(self, val):
+        self["split"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        split
+            Show hover information (open, close, high, low) in
+            separate labels.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        split=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.ohlc.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        split
+            Show hover information (open, close, high, low) in
+            separate labels.
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+        _v = arg.pop("split", None)
+        _v = split if split is not None else _v
+        if _v is not None:
+            self["split"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/_increasing.py b/packages/python/plotly/plotly/graph_objs/ohlc/_increasing.py
new file mode 100644
index 00000000000..258d343e81b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/_increasing.py
@@ -0,0 +1,113 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Increasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc"
+    _path_str = "ohlc.increasing"
+    _valid_props = {"line"}
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.ohlc.increasing.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.ohlc.increasing.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        line
+            :class:`plotly.graph_objects.ohlc.increasing.Line`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, line=None, **kwargs):
+        """
+        Construct a new Increasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.ohlc.Increasing`
+        line
+            :class:`plotly.graph_objects.ohlc.increasing.Line`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Increasing
+        """
+        super(Increasing, self).__init__("increasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.Increasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.Increasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/_line.py b/packages/python/plotly/plotly/graph_objs/ohlc/_line.py
new file mode 100644
index 00000000000..078970508c7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/_line.py
@@ -0,0 +1,149 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc"
+    _path_str = "ohlc.line"
+    _valid_props = {"dash", "width"}
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px"). Note that this style setting can also be
+        set per direction via `increasing.line.dash` and
+        `decreasing.line.dash`.
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        [object Object] Note that this style setting can also be set
+        per direction via `increasing.line.width` and
+        `decreasing.line.width`.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px"). Note that this style setting can
+            also be set per direction via `increasing.line.dash`
+            and `decreasing.line.dash`.
+        width
+            [object Object] Note that this style setting can also
+            be set per direction via `increasing.line.width` and
+            `decreasing.line.width`.
+        """
+
+    def __init__(self, arg=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.ohlc.Line`
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px"). Note that this style setting can
+            also be set per direction via `increasing.line.dash`
+            and `decreasing.line.dash`.
+        width
+            [object Object] Note that this style setting can also
+            be set per direction via `increasing.line.width` and
+            `decreasing.line.width`.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/_stream.py b/packages/python/plotly/plotly/graph_objs/ohlc/_stream.py
new file mode 100644
index 00000000000..fb36c806c02
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc"
+    _path_str = "ohlc.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.ohlc.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/__init__.py b/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/__init__.py
index 7cb9de8d09b..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/__init__.py
@@ -1,208 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc.decreasing"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.ohlc.decreasing.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.decreasing.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.decreasing.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc.decreasing import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/_line.py b/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/_line.py
new file mode 100644
index 00000000000..210468e854f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/decreasing/_line.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc.decreasing"
+    _path_str = "ohlc.decreasing.line"
+    _valid_props = {"color", "dash", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.ohlc.decreasing.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.decreasing.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.decreasing.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/__init__.py
index 172f15e824a..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.ohlc.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/_font.py
new file mode 100644
index 00000000000..2d5b21ba7a1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc.hoverlabel"
+    _path_str = "ohlc.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.ohlc.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/increasing/__init__.py b/packages/python/plotly/plotly/graph_objs/ohlc/increasing/__init__.py
index 7c6f96aba4a..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/ohlc/increasing/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/increasing/__init__.py
@@ -1,208 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "ohlc.increasing"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.ohlc.increasing.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.ohlc.increasing.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.ohlc.increasing.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.ohlc.increasing import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/ohlc/increasing/_line.py b/packages/python/plotly/plotly/graph_objs/ohlc/increasing/_line.py
new file mode 100644
index 00000000000..ae8754a06f7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/ohlc/increasing/_line.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "ohlc.increasing"
+    _path_str = "ohlc.increasing.line"
+    _valid_props = {"color", "dash", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.ohlc.increasing.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.ohlc.increasing.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.ohlc.increasing.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/__init__.py b/packages/python/plotly/plotly/graph_objs/parcats/__init__.py
index eeef55d5edc..f4b9625c676 100644
--- a/packages/python/plotly/plotly/graph_objs/parcats/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcats/__init__.py
@@ -1,2224 +1,25 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the font for the `category` labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `line.colorscale`. Has an effect only if in `line.color`is set
-        to a numerical array. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `line.color`) or the bounds
-        set in `line.cmin` and `line.cmax`  Has an effect only if in
-        `line.color`is set to a numerical array. Defaults to `false`
-        when `line.cmin` and `line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `line.color`is set to a numerical array. Value should have
-        the same units as in `line.color` and if set, `line.cmin` must
-        be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `line.cmin`
-        and/or `line.cmax` to be equidistant to this point. Has an
-        effect only if in `line.color`is set to a numerical array.
-        Value should have the same units as in `line.color`. Has no
-        effect when `line.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `line.color`is set to a numerical array. Value should have
-        the same units as in `line.color` and if set, `line.cmax` must
-        be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets thelinecolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to `line.cmin`
-        and `line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to parcats.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.line.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.parcats
-                    .line.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.parcats.line.colorbar.tickformatstopdefaults)
-                    , sets the default property values to use for
-                    elements of
-                    parcats.line.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.parcats.line.color
-                    bar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    parcats.line.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    parcats.line.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.line.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `line.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
-        be a palette name string of the following list: Greys,YlGnBu,Gr
-        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
-        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `count` and `probability`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `line.color`is set to a numerical array. If true, `line.cmin`
-        will correspond to the last color in the array and `line.cmax`
-        will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Sets the shape of the paths. If `linear`, paths are composed of
-        straight lines. If `hspline`, paths are composed of horizontal
-        curved splines
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'hspline']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `line.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `line.colorscale`. Has an effect only if in
-            `line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `line.color`)
-            or the bounds set in `line.cmin` and `line.cmax`  Has
-            an effect only if in `line.color`is set to a numerical
-            array. Defaults to `false` when `line.cmin` and
-            `line.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `line.cmin` and/or `line.cmax` to be equidistant to
-            this point. Has an effect only if in `line.color`is set
-            to a numerical array. Value should have the same units
-            as in `line.color`. Has no effect when `line.cauto` is
-            `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmax` must be set as well.
-        color
-            Sets thelinecolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `line.cmin` and `line.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.parcats.line.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `line.color`is set to a numerical array. The colorscale
-            must be an array containing arrays mapping a normalized
-            value to an rgb, rgba, hex, hsl, hsv, or named color
-            string. At minimum, a mapping for the lowest (0) and
-            highest (1) values are required. For example, `[[0,
-            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-            bounds of the colorscale in color space, use`line.cmin`
-            and `line.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `count` and `probability`.
-            Anything contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `line.color`is set to a numerical array. If true,
-            `line.cmin` will correspond to the last color in the
-            array and `line.cmax` will correspond to the first
-            color.
-        shape
-            Sets the shape of the paths. If `linear`, paths are
-            composed of straight lines. If `hspline`, paths are
-            composed of horizontal curved splines
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `line.color`is set
-            to a numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        hovertemplate=None,
-        reversescale=None,
-        shape=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcats.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `line.colorscale`. Has an effect only if in
-            `line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `line.color`)
-            or the bounds set in `line.cmin` and `line.cmax`  Has
-            an effect only if in `line.color`is set to a numerical
-            array. Defaults to `false` when `line.cmin` and
-            `line.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `line.cmin` and/or `line.cmax` to be equidistant to
-            this point. Has an effect only if in `line.color`is set
-            to a numerical array. Value should have the same units
-            as in `line.color`. Has no effect when `line.cauto` is
-            `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmax` must be set as well.
-        color
-            Sets thelinecolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `line.cmin` and `line.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.parcats.line.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `line.color`is set to a numerical array. The colorscale
-            must be an array containing arrays mapping a normalized
-            value to an rgb, rgba, hex, hsl, hsv, or named color
-            string. At minimum, a mapping for the lowest (0) and
-            highest (1) values are required. For example, `[[0,
-            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-            bounds of the colorscale in color space, use`line.cmin`
-            and `line.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `count` and `probability`.
-            Anything contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `line.color`is set to a numerical array. If true,
-            `line.cmin` will correspond to the last color in the
-            array and `line.cmax` will correspond to the first
-            color.
-        shape
-            Sets the shape of the paths. If `linear`, paths are
-            composed of straight lines. If `hspline`, paths are
-            composed of horizontal curved splines
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `line.color`is set
-            to a numerical array.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorbar"] = v_line.ColorBarValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["hovertemplate"] = v_line.HovertemplateValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["showscale"] = v_line.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Labelfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Labelfont object
-        
-        Sets the font for the `dimension` labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.Labelfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Labelfont
-        """
-        super(Labelfont, self).__init__("labelfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.Labelfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.Labelfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats import labelfont as v_labelfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_labelfont.ColorValidator()
-        self._validators["family"] = v_labelfont.FamilyValidator()
-        self._validators["size"] = v_labelfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this parcats trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this parcats trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this parcats trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this parcats trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this parcats trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this parcats trace .
-        x
-            Sets the horizontal domain of this parcats trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this parcats trace (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this parcats trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this parcats trace .
-        x
-            Sets the horizontal domain of this parcats trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this parcats trace (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Dimension(_BaseTraceHierarchyType):
-
-    # categoryarray
-    # -------------
-    @property
-    def categoryarray(self):
-        """
-        Sets the order in which categories in this dimension appear.
-        Only has an effect if `categoryorder` is set to "array". Used
-        with `categoryorder`.
-    
-        The 'categoryarray' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["categoryarray"]
-
-    @categoryarray.setter
-    def categoryarray(self, val):
-        self["categoryarray"] = val
-
-    # categoryarraysrc
-    # ----------------
-    @property
-    def categoryarraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        categoryarray .
-    
-        The 'categoryarraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["categoryarraysrc"]
-
-    @categoryarraysrc.setter
-    def categoryarraysrc(self, val):
-        self["categoryarraysrc"] = val
-
-    # categoryorder
-    # -------------
-    @property
-    def categoryorder(self):
-        """
-        Specifies the ordering logic for the categories in the
-        dimension. By default, plotly uses "trace", which specifies the
-        order that is present in the data supplied. Set `categoryorder`
-        to *category ascending* or *category descending* if order
-        should be determined by the alphanumerical order of the
-        category names. Set `categoryorder` to "array" to derive the
-        ordering from the attribute `categoryarray`. If a category is
-        not found in the `categoryarray` array, the sorting behavior
-        for that attribute will be identical to the "trace" mode. The
-        unspecified categories will follow the categories in
-        `categoryarray`.
-    
-        The 'categoryorder' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['trace', 'category ascending', 'category descending',
-                'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["categoryorder"]
-
-    @categoryorder.setter
-    def categoryorder(self, val):
-        self["categoryorder"] = val
-
-    # displayindex
-    # ------------
-    @property
-    def displayindex(self):
-        """
-        The display index of dimension, from left to right, zero
-        indexed, defaults to dimension index.
-    
-        The 'displayindex' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-
-        Returns
-        -------
-        int
-        """
-        return self["displayindex"]
-
-    @displayindex.setter
-    def displayindex(self, val):
-        self["displayindex"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        The shown name of the dimension.
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets alternative tick labels for the categories in this
-        dimension. Only has an effect if `categoryorder` is set to
-        "array". Should be an array the same length as `categoryarray`
-        Used with `categoryorder`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Dimension values. `values[n]` represents the category value of
-        the `n`th point in the dataset, therefore the `values` vector
-        for all dimensions must be the same (longer vectors will be
-        truncated).
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Shows the dimension when set to `true` (the default). Hides the
-        dimension for `false`.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        categoryarray
-            Sets the order in which categories in this dimension
-            appear. Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the categories in the
-            dimension. By default, plotly uses "trace", which
-            specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`.
-        displayindex
-            The display index of dimension, from left to right,
-            zero indexed, defaults to dimension index.
-        label
-            The shown name of the dimension.
-        ticktext
-            Sets alternative tick labels for the categories in this
-            dimension. Only has an effect if `categoryorder` is set
-            to "array". Should be an array the same length as
-            `categoryarray` Used with `categoryorder`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        values
-            Dimension values. `values[n]` represents the category
-            value of the `n`th point in the dataset, therefore the
-            `values` vector for all dimensions must be the same
-            (longer vectors will be truncated).
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Shows the dimension when set to `true` (the default).
-            Hides the dimension for `false`.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        categoryarray=None,
-        categoryarraysrc=None,
-        categoryorder=None,
-        displayindex=None,
-        label=None,
-        ticktext=None,
-        ticktextsrc=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Dimension object
-        
-        The dimensions (variables) of the parallel categories diagram.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.Dimension`
-        categoryarray
-            Sets the order in which categories in this dimension
-            appear. Only has an effect if `categoryorder` is set to
-            "array". Used with `categoryorder`.
-        categoryarraysrc
-            Sets the source reference on Chart Studio Cloud for
-            categoryarray .
-        categoryorder
-            Specifies the ordering logic for the categories in the
-            dimension. By default, plotly uses "trace", which
-            specifies the order that is present in the data
-            supplied. Set `categoryorder` to *category ascending*
-            or *category descending* if order should be determined
-            by the alphanumerical order of the category names. Set
-            `categoryorder` to "array" to derive the ordering from
-            the attribute `categoryarray`. If a category is not
-            found in the `categoryarray` array, the sorting
-            behavior for that attribute will be identical to the
-            "trace" mode. The unspecified categories will follow
-            the categories in `categoryarray`.
-        displayindex
-            The display index of dimension, from left to right,
-            zero indexed, defaults to dimension index.
-        label
-            The shown name of the dimension.
-        ticktext
-            Sets alternative tick labels for the categories in this
-            dimension. Only has an effect if `categoryorder` is set
-            to "array". Should be an array the same length as
-            `categoryarray` Used with `categoryorder`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        values
-            Dimension values. `values[n]` represents the category
-            value of the `n`th point in the dataset, therefore the
-            `values` vector for all dimensions must be the same
-            (longer vectors will be truncated).
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Shows the dimension when set to `true` (the default).
-            Hides the dimension for `false`.
-
-        Returns
-        -------
-        Dimension
-        """
-        super(Dimension, self).__init__("dimensions")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.Dimension 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.Dimension`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats import dimension as v_dimension
-
-        # Initialize validators
-        # ---------------------
-        self._validators["categoryarray"] = v_dimension.CategoryarrayValidator()
-        self._validators["categoryarraysrc"] = v_dimension.CategoryarraysrcValidator()
-        self._validators["categoryorder"] = v_dimension.CategoryorderValidator()
-        self._validators["displayindex"] = v_dimension.DisplayindexValidator()
-        self._validators["label"] = v_dimension.LabelValidator()
-        self._validators["ticktext"] = v_dimension.TicktextValidator()
-        self._validators["ticktextsrc"] = v_dimension.TicktextsrcValidator()
-        self._validators["values"] = v_dimension.ValuesValidator()
-        self._validators["valuessrc"] = v_dimension.ValuessrcValidator()
-        self._validators["visible"] = v_dimension.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("categoryarray", None)
-        self["categoryarray"] = categoryarray if categoryarray is not None else _v
-        _v = arg.pop("categoryarraysrc", None)
-        self["categoryarraysrc"] = (
-            categoryarraysrc if categoryarraysrc is not None else _v
-        )
-        _v = arg.pop("categoryorder", None)
-        self["categoryorder"] = categoryorder if categoryorder is not None else _v
-        _v = arg.pop("displayindex", None)
-        self["displayindex"] = displayindex if displayindex is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Dimension",
-    "Dimension",
-    "Domain",
-    "Labelfont",
-    "Line",
-    "Stream",
-    "Tickfont",
-    "line",
-]
-
-from plotly.graph_objs.parcats import line
+import sys
+
+if sys.version_info < (3, 7):
+    from ._tickfont import Tickfont
+    from ._stream import Stream
+    from ._line import Line
+    from ._labelfont import Labelfont
+    from ._domain import Domain
+    from ._dimension import Dimension
+    from . import line
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".line"],
+        [
+            "._tickfont.Tickfont",
+            "._stream.Stream",
+            "._line.Line",
+            "._labelfont.Labelfont",
+            "._domain.Domain",
+            "._dimension.Dimension",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/_dimension.py b/packages/python/plotly/plotly/graph_objs/parcats/_dimension.py
new file mode 100644
index 00000000000..07e396c4088
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/_dimension.py
@@ -0,0 +1,449 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Dimension(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats"
+    _path_str = "parcats.dimension"
+    _valid_props = {
+        "categoryarray",
+        "categoryarraysrc",
+        "categoryorder",
+        "displayindex",
+        "label",
+        "ticktext",
+        "ticktextsrc",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # categoryarray
+    # -------------
+    @property
+    def categoryarray(self):
+        """
+        Sets the order in which categories in this dimension appear.
+        Only has an effect if `categoryorder` is set to "array". Used
+        with `categoryorder`.
+    
+        The 'categoryarray' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["categoryarray"]
+
+    @categoryarray.setter
+    def categoryarray(self, val):
+        self["categoryarray"] = val
+
+    # categoryarraysrc
+    # ----------------
+    @property
+    def categoryarraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        categoryarray .
+    
+        The 'categoryarraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["categoryarraysrc"]
+
+    @categoryarraysrc.setter
+    def categoryarraysrc(self, val):
+        self["categoryarraysrc"] = val
+
+    # categoryorder
+    # -------------
+    @property
+    def categoryorder(self):
+        """
+        Specifies the ordering logic for the categories in the
+        dimension. By default, plotly uses "trace", which specifies the
+        order that is present in the data supplied. Set `categoryorder`
+        to *category ascending* or *category descending* if order
+        should be determined by the alphanumerical order of the
+        category names. Set `categoryorder` to "array" to derive the
+        ordering from the attribute `categoryarray`. If a category is
+        not found in the `categoryarray` array, the sorting behavior
+        for that attribute will be identical to the "trace" mode. The
+        unspecified categories will follow the categories in
+        `categoryarray`.
+    
+        The 'categoryorder' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['trace', 'category ascending', 'category descending',
+                'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["categoryorder"]
+
+    @categoryorder.setter
+    def categoryorder(self, val):
+        self["categoryorder"] = val
+
+    # displayindex
+    # ------------
+    @property
+    def displayindex(self):
+        """
+        The display index of dimension, from left to right, zero
+        indexed, defaults to dimension index.
+    
+        The 'displayindex' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+
+        Returns
+        -------
+        int
+        """
+        return self["displayindex"]
+
+    @displayindex.setter
+    def displayindex(self, val):
+        self["displayindex"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        The shown name of the dimension.
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets alternative tick labels for the categories in this
+        dimension. Only has an effect if `categoryorder` is set to
+        "array". Should be an array the same length as `categoryarray`
+        Used with `categoryorder`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Dimension values. `values[n]` represents the category value of
+        the `n`th point in the dataset, therefore the `values` vector
+        for all dimensions must be the same (longer vectors will be
+        truncated).
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Shows the dimension when set to `true` (the default). Hides the
+        dimension for `false`.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        categoryarray
+            Sets the order in which categories in this dimension
+            appear. Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the categories in the
+            dimension. By default, plotly uses "trace", which
+            specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`.
+        displayindex
+            The display index of dimension, from left to right,
+            zero indexed, defaults to dimension index.
+        label
+            The shown name of the dimension.
+        ticktext
+            Sets alternative tick labels for the categories in this
+            dimension. Only has an effect if `categoryorder` is set
+            to "array". Should be an array the same length as
+            `categoryarray` Used with `categoryorder`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        values
+            Dimension values. `values[n]` represents the category
+            value of the `n`th point in the dataset, therefore the
+            `values` vector for all dimensions must be the same
+            (longer vectors will be truncated).
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Shows the dimension when set to `true` (the default).
+            Hides the dimension for `false`.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        categoryarray=None,
+        categoryarraysrc=None,
+        categoryorder=None,
+        displayindex=None,
+        label=None,
+        ticktext=None,
+        ticktextsrc=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Dimension object
+        
+        The dimensions (variables) of the parallel categories diagram.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.Dimension`
+        categoryarray
+            Sets the order in which categories in this dimension
+            appear. Only has an effect if `categoryorder` is set to
+            "array". Used with `categoryorder`.
+        categoryarraysrc
+            Sets the source reference on Chart Studio Cloud for
+            categoryarray .
+        categoryorder
+            Specifies the ordering logic for the categories in the
+            dimension. By default, plotly uses "trace", which
+            specifies the order that is present in the data
+            supplied. Set `categoryorder` to *category ascending*
+            or *category descending* if order should be determined
+            by the alphanumerical order of the category names. Set
+            `categoryorder` to "array" to derive the ordering from
+            the attribute `categoryarray`. If a category is not
+            found in the `categoryarray` array, the sorting
+            behavior for that attribute will be identical to the
+            "trace" mode. The unspecified categories will follow
+            the categories in `categoryarray`.
+        displayindex
+            The display index of dimension, from left to right,
+            zero indexed, defaults to dimension index.
+        label
+            The shown name of the dimension.
+        ticktext
+            Sets alternative tick labels for the categories in this
+            dimension. Only has an effect if `categoryorder` is set
+            to "array". Should be an array the same length as
+            `categoryarray` Used with `categoryorder`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        values
+            Dimension values. `values[n]` represents the category
+            value of the `n`th point in the dataset, therefore the
+            `values` vector for all dimensions must be the same
+            (longer vectors will be truncated).
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Shows the dimension when set to `true` (the default).
+            Hides the dimension for `false`.
+
+        Returns
+        -------
+        Dimension
+        """
+        super(Dimension, self).__init__("dimensions")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.Dimension 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.Dimension`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("categoryarray", None)
+        _v = categoryarray if categoryarray is not None else _v
+        if _v is not None:
+            self["categoryarray"] = _v
+        _v = arg.pop("categoryarraysrc", None)
+        _v = categoryarraysrc if categoryarraysrc is not None else _v
+        if _v is not None:
+            self["categoryarraysrc"] = _v
+        _v = arg.pop("categoryorder", None)
+        _v = categoryorder if categoryorder is not None else _v
+        if _v is not None:
+            self["categoryorder"] = _v
+        _v = arg.pop("displayindex", None)
+        _v = displayindex if displayindex is not None else _v
+        if _v is not None:
+            self["displayindex"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/_domain.py b/packages/python/plotly/plotly/graph_objs/parcats/_domain.py
new file mode 100644
index 00000000000..0f73cf1b164
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats"
+    _path_str = "parcats.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this parcats trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this parcats trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this parcats trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this parcats trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this parcats trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this parcats trace .
+        x
+            Sets the horizontal domain of this parcats trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this parcats trace (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this parcats trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this parcats trace .
+        x
+            Sets the horizontal domain of this parcats trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this parcats trace (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/_labelfont.py b/packages/python/plotly/plotly/graph_objs/parcats/_labelfont.py
new file mode 100644
index 00000000000..c756b8f67a4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/_labelfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Labelfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats"
+    _path_str = "parcats.labelfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Labelfont object
+        
+        Sets the font for the `dimension` labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.Labelfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Labelfont
+        """
+        super(Labelfont, self).__init__("labelfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.Labelfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.Labelfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/_line.py b/packages/python/plotly/plotly/graph_objs/parcats/_line.py
new file mode 100644
index 00000000000..45af6482dc5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/_line.py
@@ -0,0 +1,995 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats"
+    _path_str = "parcats.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "hovertemplate",
+        "reversescale",
+        "shape",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `line.colorscale`. Has an effect only if in `line.color`is set
+        to a numerical array. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `line.color`) or the bounds
+        set in `line.cmin` and `line.cmax`  Has an effect only if in
+        `line.color`is set to a numerical array. Defaults to `false`
+        when `line.cmin` and `line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `line.color`is set to a numerical array. Value should have
+        the same units as in `line.color` and if set, `line.cmin` must
+        be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `line.cmin`
+        and/or `line.cmax` to be equidistant to this point. Has an
+        effect only if in `line.color`is set to a numerical array.
+        Value should have the same units as in `line.color`. Has no
+        effect when `line.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `line.color`is set to a numerical array. Value should have
+        the same units as in `line.color` and if set, `line.cmax` must
+        be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets thelinecolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to `line.cmin`
+        and `line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to parcats.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.line.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.parcats
+                    .line.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.parcats.line.colorbar.tickformatstopdefaults)
+                    , sets the default property values to use for
+                    elements of
+                    parcats.line.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.parcats.line.color
+                    bar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    parcats.line.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    parcats.line.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.line.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `line.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
+        be a palette name string of the following list: Greys,YlGnBu,Gr
+        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
+        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `count` and `probability`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `line.color`is set to a numerical array. If true, `line.cmin`
+        will correspond to the last color in the array and `line.cmax`
+        will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Sets the shape of the paths. If `linear`, paths are composed of
+        straight lines. If `hspline`, paths are composed of horizontal
+        curved splines
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'hspline']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `line.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `line.colorscale`. Has an effect only if in
+            `line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `line.color`)
+            or the bounds set in `line.cmin` and `line.cmax`  Has
+            an effect only if in `line.color`is set to a numerical
+            array. Defaults to `false` when `line.cmin` and
+            `line.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `line.cmin` and/or `line.cmax` to be equidistant to
+            this point. Has an effect only if in `line.color`is set
+            to a numerical array. Value should have the same units
+            as in `line.color`. Has no effect when `line.cauto` is
+            `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmax` must be set as well.
+        color
+            Sets thelinecolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `line.cmin` and `line.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.parcats.line.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `line.color`is set to a numerical array. The colorscale
+            must be an array containing arrays mapping a normalized
+            value to an rgb, rgba, hex, hsl, hsv, or named color
+            string. At minimum, a mapping for the lowest (0) and
+            highest (1) values are required. For example, `[[0,
+            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+            bounds of the colorscale in color space, use`line.cmin`
+            and `line.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `count` and `probability`.
+            Anything contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `line.color`is set to a numerical array. If true,
+            `line.cmin` will correspond to the last color in the
+            array and `line.cmax` will correspond to the first
+            color.
+        shape
+            Sets the shape of the paths. If `linear`, paths are
+            composed of straight lines. If `hspline`, paths are
+            composed of horizontal curved splines
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `line.color`is set
+            to a numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        hovertemplate=None,
+        reversescale=None,
+        shape=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcats.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `line.colorscale`. Has an effect only if in
+            `line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `line.color`)
+            or the bounds set in `line.cmin` and `line.cmax`  Has
+            an effect only if in `line.color`is set to a numerical
+            array. Defaults to `false` when `line.cmin` and
+            `line.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `line.cmin` and/or `line.cmax` to be equidistant to
+            this point. Has an effect only if in `line.color`is set
+            to a numerical array. Value should have the same units
+            as in `line.color`. Has no effect when `line.cauto` is
+            `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmax` must be set as well.
+        color
+            Sets thelinecolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `line.cmin` and `line.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.parcats.line.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `line.color`is set to a numerical array. The colorscale
+            must be an array containing arrays mapping a normalized
+            value to an rgb, rgba, hex, hsl, hsv, or named color
+            string. At minimum, a mapping for the lowest (0) and
+            highest (1) values are required. For example, `[[0,
+            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+            bounds of the colorscale in color space, use`line.cmin`
+            and `line.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `count` and `probability`.
+            Anything contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `line.color`is set to a numerical array. If true,
+            `line.cmin` will correspond to the last color in the
+            array and `line.cmax` will correspond to the first
+            color.
+        shape
+            Sets the shape of the paths. If `linear`, paths are
+            composed of straight lines. If `hspline`, paths are
+            composed of horizontal curved splines
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `line.color`is set
+            to a numerical array.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/_stream.py b/packages/python/plotly/plotly/graph_objs/parcats/_stream.py
new file mode 100644
index 00000000000..e7bc0d9a18c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats"
+    _path_str = "parcats.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/_tickfont.py b/packages/python/plotly/plotly/graph_objs/parcats/_tickfont.py
new file mode 100644
index 00000000000..35fa8fab33a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats"
+    _path_str = "parcats.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the font for the `category` labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/__init__.py b/packages/python/plotly/plotly/graph_objs/parcats/line/__init__.py
index f0ee1b41cc3..48d0fee5e0d 100644
--- a/packages/python/plotly/plotly/graph_objs/parcats/line/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/__init__.py
@@ -1,1870 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.line.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.parcats.line.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.parcats.line.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.parcats.line.c
-        olorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        parcats.line.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.line.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.line.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use parcats.line.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use parcats.line.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats.line"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.parcats.line.co
-            lorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.parcat
-            s.line.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            parcats.line.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.parcats.line.colorbar.Titl
-            e` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use parcats.line.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use parcats.line.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.line.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.parcats.line.co
-            lorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.parcat
-            s.line.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            parcats.line.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.parcats.line.colorbar.Titl
-            e` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use parcats.line.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use parcats.line.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.line.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.line.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats.line import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "colorbar"]
-
-from plotly.graph_objs.parcats.line import colorbar
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/_colorbar.py b/packages/python/plotly/plotly/graph_objs/parcats/line/_colorbar.py
new file mode 100644
index 00000000000..751af5aa31e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats.line"
+    _path_str = "parcats.line.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.line.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.parcats.line.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.parcats.line.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.parcats.line.c
+        olorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        parcats.line.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.line.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.line.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use parcats.line.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use parcats.line.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.parcats.line.co
+            lorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.parcat
+            s.line.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            parcats.line.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.parcats.line.colorbar.Titl
+            e` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use parcats.line.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use parcats.line.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.line.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.parcats.line.co
+            lorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.parcat
+            s.line.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            parcats.line.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.parcats.line.colorbar.Titl
+            e` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use parcats.line.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use parcats.line.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.line.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.line.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/__init__.py
index d2663739b76..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcats.line.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcats.line.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.line.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats.line.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcats.line.c
-            olorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.line.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats.line.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcats.line.c
-            olorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.line.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats.line.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.parcats.line.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_tickfont.py
new file mode 100644
index 00000000000..47d4e7282a5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats.line.colorbar"
+    _path_str = "parcats.line.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcats.line.c
+            olorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.line.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..4f635c7e8cf
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats.line.colorbar"
+    _path_str = "parcats.line.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcats.line.c
+            olorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.line.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_title.py
new file mode 100644
index 00000000000..70a63fcebb3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats.line.colorbar"
+    _path_str = "parcats.line.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcats.line.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcats.line.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.line.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.line.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/__init__.py
index 10068de5ee0..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcats.line.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcats.line.c
-            olorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcats.line.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcats.line.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/_font.py
new file mode 100644
index 00000000000..e14fe84b94c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcats/line/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcats.line.colorbar.title"
+    _path_str = "parcats.line.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcats.line.c
+            olorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcats.line.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcats.line.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/__init__.py b/packages/python/plotly/plotly/graph_objs/parcoords/__init__.py
index 37f2de5fdd0..2aeef166af7 100644
--- a/packages/python/plotly/plotly/graph_objs/parcoords/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/__init__.py
@@ -1,2505 +1,27 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the font for the `dimension` tick values.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Rangefont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Rangefont object
-        
-        Sets the font for the `dimension` range values.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Rangefont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Rangefont
-        """
-        super(Rangefont, self).__init__("rangefont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Rangefont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Rangefont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import rangefont as v_rangefont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_rangefont.ColorValidator()
-        self._validators["family"] = v_rangefont.FamilyValidator()
-        self._validators["size"] = v_rangefont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `line.colorscale`. Has an effect only if in `line.color`is set
-        to a numerical array. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `line.color`) or the bounds
-        set in `line.cmin` and `line.cmax`  Has an effect only if in
-        `line.color`is set to a numerical array. Defaults to `false`
-        when `line.cmin` and `line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `line.color`is set to a numerical array. Value should have
-        the same units as in `line.color` and if set, `line.cmin` must
-        be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `line.cmin`
-        and/or `line.cmax` to be equidistant to this point. Has an
-        effect only if in `line.color`is set to a numerical array.
-        Value should have the same units as in `line.color`. Has no
-        effect when `line.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `line.color`is set to a numerical array. Value should have
-        the same units as in `line.color` and if set, `line.cmax` must
-        be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets thelinecolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to `line.cmin`
-        and `line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to parcoords.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.line.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.parcoor
-                    ds.line.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.parcoords.line.colorbar.tickformatstopdefault
-                    s), sets the default property values to use for
-                    elements of
-                    parcoords.line.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.parcoords.line.col
-                    orbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    parcoords.line.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    parcoords.line.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.line.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `line.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
-        be a palette name string of the following list: Greys,YlGnBu,Gr
-        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
-        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `line.color`is set to a numerical array. If true, `line.cmin`
-        will correspond to the last color in the array and `line.cmax`
-        will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `line.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `line.colorscale`. Has an effect only if in
-            `line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `line.color`)
-            or the bounds set in `line.cmin` and `line.cmax`  Has
-            an effect only if in `line.color`is set to a numerical
-            array. Defaults to `false` when `line.cmin` and
-            `line.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `line.cmin` and/or `line.cmax` to be equidistant to
-            this point. Has an effect only if in `line.color`is set
-            to a numerical array. Value should have the same units
-            as in `line.color`. Has no effect when `line.cauto` is
-            `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmax` must be set as well.
-        color
-            Sets thelinecolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `line.cmin` and `line.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.parcoords.line.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `line.color`is set to a numerical array. The colorscale
-            must be an array containing arrays mapping a normalized
-            value to an rgb, rgba, hex, hsl, hsv, or named color
-            string. At minimum, a mapping for the lowest (0) and
-            highest (1) values are required. For example, `[[0,
-            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-            bounds of the colorscale in color space, use`line.cmin`
-            and `line.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `line.color`is set to a numerical array. If true,
-            `line.cmin` will correspond to the last color in the
-            array and `line.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `line.color`is set
-            to a numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `line.colorscale`. Has an effect only if in
-            `line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `line.color`)
-            or the bounds set in `line.cmin` and `line.cmax`  Has
-            an effect only if in `line.color`is set to a numerical
-            array. Defaults to `false` when `line.cmin` and
-            `line.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `line.cmin` and/or `line.cmax` to be equidistant to
-            this point. Has an effect only if in `line.color`is set
-            to a numerical array. Value should have the same units
-            as in `line.color`. Has no effect when `line.cauto` is
-            `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmax` must be set as well.
-        color
-            Sets thelinecolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `line.cmin` and `line.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.parcoords.line.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `line.color`is set to a numerical array. The colorscale
-            must be an array containing arrays mapping a normalized
-            value to an rgb, rgba, hex, hsl, hsv, or named color
-            string. At minimum, a mapping for the lowest (0) and
-            highest (1) values are required. For example, `[[0,
-            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-            bounds of the colorscale in color space, use`line.cmin`
-            and `line.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `line.color`is set to a numerical array. If true,
-            `line.cmin` will correspond to the last color in the
-            array and `line.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `line.color`is set
-            to a numerical array.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorbar"] = v_line.ColorBarValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["showscale"] = v_line.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Labelfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Labelfont object
-        
-        Sets the font for the `dimension` labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Labelfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Labelfont
-        """
-        super(Labelfont, self).__init__("labelfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Labelfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Labelfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import labelfont as v_labelfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_labelfont.ColorValidator()
-        self._validators["family"] = v_labelfont.FamilyValidator()
-        self._validators["size"] = v_labelfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this parcoords trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this parcoords trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this parcoords trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this parcoords trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this parcoords trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this parcoords trace .
-        x
-            Sets the horizontal domain of this parcoords trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this parcoords trace (in
-            plot fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this parcoords trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this parcoords trace .
-        x
-            Sets the horizontal domain of this parcoords trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this parcoords trace (in
-            plot fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Dimension(_BaseTraceHierarchyType):
-
-    # constraintrange
-    # ---------------
-    @property
-    def constraintrange(self):
-        """
-        The domain range to which the filter on the dimension is
-        constrained. Must be an array of `[fromValue, toValue]` with
-        `fromValue <= toValue`, or if `multiselect` is not disabled,
-        you may give an array of arrays, where each inner array is
-        `[fromValue, toValue]`.
-    
-        The 'constraintrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'constraintrange[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'constraintrange[1]' property is a number and may be specified as:
-          - An int or float
-    
-        * a 2D list where:
-    (0) The 'constraintrange[i][0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'constraintrange[i][1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["constraintrange"]
-
-    @constraintrange.setter
-    def constraintrange(self, val):
-        self["constraintrange"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        The shown name of the dimension.
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # multiselect
-    # -----------
-    @property
-    def multiselect(self):
-        """
-        Do we allow multiple selection ranges or just a single range?
-    
-        The 'multiselect' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["multiselect"]
-
-    @multiselect.setter
-    def multiselect(self, val):
-        self["multiselect"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # range
-    # -----
-    @property
-    def range(self):
-        """
-        The domain range that represents the full, shown axis extent.
-        Defaults to the `values` extent. Must be an array of
-        `[fromValue, toValue]` with finite numbers as elements.
-    
-        The 'range' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'range[0]' property is a number and may be specified as:
-          - An int or float
-    (1) The 'range[1]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["range"]
-
-    @range.setter
-    def range(self, val):
-        self["range"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Dimension values. `values[n]` represents the value of the `n`th
-        point in the dataset, therefore the `values` vector for all
-        dimensions must be the same (longer vectors will be truncated).
-        Each value must be a finite number.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Shows the dimension when set to `true` (the default). Hides the
-        dimension for `false`.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        constraintrange
-            The domain range to which the filter on the dimension
-            is constrained. Must be an array of `[fromValue,
-            toValue]` with `fromValue <= toValue`, or if
-            `multiselect` is not disabled, you may give an array of
-            arrays, where each inner array is `[fromValue,
-            toValue]`.
-        label
-            The shown name of the dimension.
-        multiselect
-            Do we allow multiple selection ranges or just a single
-            range?
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        range
-            The domain range that represents the full, shown axis
-            extent. Defaults to the `values` extent. Must be an
-            array of `[fromValue, toValue]` with finite numbers as
-            elements.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        values
-            Dimension values. `values[n]` represents the value of
-            the `n`th point in the dataset, therefore the `values`
-            vector for all dimensions must be the same (longer
-            vectors will be truncated). Each value must be a finite
-            number.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Shows the dimension when set to `true` (the default).
-            Hides the dimension for `false`.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        constraintrange=None,
-        label=None,
-        multiselect=None,
-        name=None,
-        range=None,
-        templateitemname=None,
-        tickformat=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Dimension object
-        
-        The dimensions (variables) of the parallel coordinates chart.
-        2..60 dimensions are supported.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.Dimension`
-        constraintrange
-            The domain range to which the filter on the dimension
-            is constrained. Must be an array of `[fromValue,
-            toValue]` with `fromValue <= toValue`, or if
-            `multiselect` is not disabled, you may give an array of
-            arrays, where each inner array is `[fromValue,
-            toValue]`.
-        label
-            The shown name of the dimension.
-        multiselect
-            Do we allow multiple selection ranges or just a single
-            range?
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        range
-            The domain range that represents the full, shown axis
-            extent. Defaults to the `values` extent. Must be an
-            array of `[fromValue, toValue]` with finite numbers as
-            elements.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        values
-            Dimension values. `values[n]` represents the value of
-            the `n`th point in the dataset, therefore the `values`
-            vector for all dimensions must be the same (longer
-            vectors will be truncated). Each value must be a finite
-            number.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Shows the dimension when set to `true` (the default).
-            Hides the dimension for `false`.
-
-        Returns
-        -------
-        Dimension
-        """
-        super(Dimension, self).__init__("dimensions")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.Dimension 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.Dimension`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords import dimension as v_dimension
-
-        # Initialize validators
-        # ---------------------
-        self._validators["constraintrange"] = v_dimension.ConstraintrangeValidator()
-        self._validators["label"] = v_dimension.LabelValidator()
-        self._validators["multiselect"] = v_dimension.MultiselectValidator()
-        self._validators["name"] = v_dimension.NameValidator()
-        self._validators["range"] = v_dimension.RangeValidator()
-        self._validators["templateitemname"] = v_dimension.TemplateitemnameValidator()
-        self._validators["tickformat"] = v_dimension.TickformatValidator()
-        self._validators["ticktext"] = v_dimension.TicktextValidator()
-        self._validators["ticktextsrc"] = v_dimension.TicktextsrcValidator()
-        self._validators["tickvals"] = v_dimension.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_dimension.TickvalssrcValidator()
-        self._validators["values"] = v_dimension.ValuesValidator()
-        self._validators["valuessrc"] = v_dimension.ValuessrcValidator()
-        self._validators["visible"] = v_dimension.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("constraintrange", None)
-        self["constraintrange"] = constraintrange if constraintrange is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("multiselect", None)
-        self["multiselect"] = multiselect if multiselect is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("range", None)
-        self["range"] = range if range is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Dimension",
-    "Dimension",
-    "Domain",
-    "Labelfont",
-    "Line",
-    "Rangefont",
-    "Stream",
-    "Tickfont",
-    "line",
-]
-
-from plotly.graph_objs.parcoords import line
+import sys
+
+if sys.version_info < (3, 7):
+    from ._tickfont import Tickfont
+    from ._stream import Stream
+    from ._rangefont import Rangefont
+    from ._line import Line
+    from ._labelfont import Labelfont
+    from ._domain import Domain
+    from ._dimension import Dimension
+    from . import line
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".line"],
+        [
+            "._tickfont.Tickfont",
+            "._stream.Stream",
+            "._rangefont.Rangefont",
+            "._line.Line",
+            "._labelfont.Labelfont",
+            "._domain.Domain",
+            "._dimension.Dimension",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_dimension.py b/packages/python/plotly/plotly/graph_objs/parcoords/_dimension.py
new file mode 100644
index 00000000000..75d074832c4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_dimension.py
@@ -0,0 +1,635 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Dimension(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.dimension"
+    _valid_props = {
+        "constraintrange",
+        "label",
+        "multiselect",
+        "name",
+        "range",
+        "templateitemname",
+        "tickformat",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # constraintrange
+    # ---------------
+    @property
+    def constraintrange(self):
+        """
+        The domain range to which the filter on the dimension is
+        constrained. Must be an array of `[fromValue, toValue]` with
+        `fromValue <= toValue`, or if `multiselect` is not disabled,
+        you may give an array of arrays, where each inner array is
+        `[fromValue, toValue]`.
+    
+        The 'constraintrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'constraintrange[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'constraintrange[1]' property is a number and may be specified as:
+          - An int or float
+    
+        * a 2D list where:
+    (0) The 'constraintrange[i][0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'constraintrange[i][1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["constraintrange"]
+
+    @constraintrange.setter
+    def constraintrange(self, val):
+        self["constraintrange"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        The shown name of the dimension.
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # multiselect
+    # -----------
+    @property
+    def multiselect(self):
+        """
+        Do we allow multiple selection ranges or just a single range?
+    
+        The 'multiselect' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["multiselect"]
+
+    @multiselect.setter
+    def multiselect(self, val):
+        self["multiselect"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # range
+    # -----
+    @property
+    def range(self):
+        """
+        The domain range that represents the full, shown axis extent.
+        Defaults to the `values` extent. Must be an array of
+        `[fromValue, toValue]` with finite numbers as elements.
+    
+        The 'range' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'range[0]' property is a number and may be specified as:
+          - An int or float
+    (1) The 'range[1]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["range"]
+
+    @range.setter
+    def range(self, val):
+        self["range"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Dimension values. `values[n]` represents the value of the `n`th
+        point in the dataset, therefore the `values` vector for all
+        dimensions must be the same (longer vectors will be truncated).
+        Each value must be a finite number.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Shows the dimension when set to `true` (the default). Hides the
+        dimension for `false`.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        constraintrange
+            The domain range to which the filter on the dimension
+            is constrained. Must be an array of `[fromValue,
+            toValue]` with `fromValue <= toValue`, or if
+            `multiselect` is not disabled, you may give an array of
+            arrays, where each inner array is `[fromValue,
+            toValue]`.
+        label
+            The shown name of the dimension.
+        multiselect
+            Do we allow multiple selection ranges or just a single
+            range?
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        range
+            The domain range that represents the full, shown axis
+            extent. Defaults to the `values` extent. Must be an
+            array of `[fromValue, toValue]` with finite numbers as
+            elements.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        values
+            Dimension values. `values[n]` represents the value of
+            the `n`th point in the dataset, therefore the `values`
+            vector for all dimensions must be the same (longer
+            vectors will be truncated). Each value must be a finite
+            number.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Shows the dimension when set to `true` (the default).
+            Hides the dimension for `false`.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        constraintrange=None,
+        label=None,
+        multiselect=None,
+        name=None,
+        range=None,
+        templateitemname=None,
+        tickformat=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Dimension object
+        
+        The dimensions (variables) of the parallel coordinates chart.
+        2..60 dimensions are supported.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Dimension`
+        constraintrange
+            The domain range to which the filter on the dimension
+            is constrained. Must be an array of `[fromValue,
+            toValue]` with `fromValue <= toValue`, or if
+            `multiselect` is not disabled, you may give an array of
+            arrays, where each inner array is `[fromValue,
+            toValue]`.
+        label
+            The shown name of the dimension.
+        multiselect
+            Do we allow multiple selection ranges or just a single
+            range?
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        range
+            The domain range that represents the full, shown axis
+            extent. Defaults to the `values` extent. Must be an
+            array of `[fromValue, toValue]` with finite numbers as
+            elements.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        values
+            Dimension values. `values[n]` represents the value of
+            the `n`th point in the dataset, therefore the `values`
+            vector for all dimensions must be the same (longer
+            vectors will be truncated). Each value must be a finite
+            number.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Shows the dimension when set to `true` (the default).
+            Hides the dimension for `false`.
+
+        Returns
+        -------
+        Dimension
+        """
+        super(Dimension, self).__init__("dimensions")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Dimension 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Dimension`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("constraintrange", None)
+        _v = constraintrange if constraintrange is not None else _v
+        if _v is not None:
+            self["constraintrange"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("multiselect", None)
+        _v = multiselect if multiselect is not None else _v
+        if _v is not None:
+            self["multiselect"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("range", None)
+        _v = range if range is not None else _v
+        if _v is not None:
+            self["range"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_domain.py b/packages/python/plotly/plotly/graph_objs/parcoords/_domain.py
new file mode 100644
index 00000000000..f6dc02abbdc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this parcoords trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this parcoords trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this parcoords trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this parcoords trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this parcoords trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this parcoords trace .
+        x
+            Sets the horizontal domain of this parcoords trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this parcoords trace (in
+            plot fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this parcoords trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this parcoords trace .
+        x
+            Sets the horizontal domain of this parcoords trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this parcoords trace (in
+            plot fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_labelfont.py b/packages/python/plotly/plotly/graph_objs/parcoords/_labelfont.py
new file mode 100644
index 00000000000..10849ed112c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_labelfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Labelfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.labelfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Labelfont object
+        
+        Sets the font for the `dimension` labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Labelfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Labelfont
+        """
+        super(Labelfont, self).__init__("labelfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Labelfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Labelfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_line.py b/packages/python/plotly/plotly/graph_objs/parcoords/_line.py
new file mode 100644
index 00000000000..fb37d149091
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_line.py
@@ -0,0 +1,865 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `line.colorscale`. Has an effect only if in `line.color`is set
+        to a numerical array. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `line.color`) or the bounds
+        set in `line.cmin` and `line.cmax`  Has an effect only if in
+        `line.color`is set to a numerical array. Defaults to `false`
+        when `line.cmin` and `line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `line.color`is set to a numerical array. Value should have
+        the same units as in `line.color` and if set, `line.cmin` must
+        be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `line.cmin`
+        and/or `line.cmax` to be equidistant to this point. Has an
+        effect only if in `line.color`is set to a numerical array.
+        Value should have the same units as in `line.color`. Has no
+        effect when `line.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `line.color`is set to a numerical array. Value should have
+        the same units as in `line.color` and if set, `line.cmax` must
+        be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets thelinecolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to `line.cmin`
+        and `line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to parcoords.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.line.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.parcoor
+                    ds.line.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.parcoords.line.colorbar.tickformatstopdefault
+                    s), sets the default property values to use for
+                    elements of
+                    parcoords.line.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.parcoords.line.col
+                    orbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    parcoords.line.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    parcoords.line.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.line.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `line.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
+        be a palette name string of the following list: Greys,YlGnBu,Gr
+        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
+        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `line.color`is set to a numerical array. If true, `line.cmin`
+        will correspond to the last color in the array and `line.cmax`
+        will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `line.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `line.colorscale`. Has an effect only if in
+            `line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `line.color`)
+            or the bounds set in `line.cmin` and `line.cmax`  Has
+            an effect only if in `line.color`is set to a numerical
+            array. Defaults to `false` when `line.cmin` and
+            `line.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `line.cmin` and/or `line.cmax` to be equidistant to
+            this point. Has an effect only if in `line.color`is set
+            to a numerical array. Value should have the same units
+            as in `line.color`. Has no effect when `line.cauto` is
+            `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmax` must be set as well.
+        color
+            Sets thelinecolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `line.cmin` and `line.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.parcoords.line.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `line.color`is set to a numerical array. The colorscale
+            must be an array containing arrays mapping a normalized
+            value to an rgb, rgba, hex, hsl, hsv, or named color
+            string. At minimum, a mapping for the lowest (0) and
+            highest (1) values are required. For example, `[[0,
+            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+            bounds of the colorscale in color space, use`line.cmin`
+            and `line.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `line.color`is set to a numerical array. If true,
+            `line.cmin` will correspond to the last color in the
+            array and `line.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `line.color`is set
+            to a numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `line.colorscale`. Has an effect only if in
+            `line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `line.color`)
+            or the bounds set in `line.cmin` and `line.cmax`  Has
+            an effect only if in `line.color`is set to a numerical
+            array. Defaults to `false` when `line.cmin` and
+            `line.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `line.cmin` and/or `line.cmax` to be equidistant to
+            this point. Has an effect only if in `line.color`is set
+            to a numerical array. Value should have the same units
+            as in `line.color`. Has no effect when `line.cauto` is
+            `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmax` must be set as well.
+        color
+            Sets thelinecolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `line.cmin` and `line.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.parcoords.line.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `line.color`is set to a numerical array. The colorscale
+            must be an array containing arrays mapping a normalized
+            value to an rgb, rgba, hex, hsl, hsv, or named color
+            string. At minimum, a mapping for the lowest (0) and
+            highest (1) values are required. For example, `[[0,
+            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+            bounds of the colorscale in color space, use`line.cmin`
+            and `line.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `line.color`is set to a numerical array. If true,
+            `line.cmin` will correspond to the last color in the
+            array and `line.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `line.color`is set
+            to a numerical array.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_rangefont.py b/packages/python/plotly/plotly/graph_objs/parcoords/_rangefont.py
new file mode 100644
index 00000000000..d15495fd955
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_rangefont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Rangefont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.rangefont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Rangefont object
+        
+        Sets the font for the `dimension` range values.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Rangefont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Rangefont
+        """
+        super(Rangefont, self).__init__("rangefont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Rangefont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Rangefont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_stream.py b/packages/python/plotly/plotly/graph_objs/parcoords/_stream.py
new file mode 100644
index 00000000000..b98563342d8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/_tickfont.py b/packages/python/plotly/plotly/graph_objs/parcoords/_tickfont.py
new file mode 100644
index 00000000000..63214d8bc90
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords"
+    _path_str = "parcoords.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the font for the `dimension` tick values.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/__init__.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/__init__.py
index 2eabfa8c273..48d0fee5e0d 100644
--- a/packages/python/plotly/plotly/graph_objs/parcoords/line/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/__init__.py
@@ -1,1870 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.line.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.parcoords.line.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.parcoords.line.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.parcoords.line
-        .colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        parcoords.line.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.line.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.line.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use parcoords.line.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use parcoords.line.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords.line"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.parcoords.line.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.parcoo
-            rds.line.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            parcoords.line.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.parcoords.line.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            parcoords.line.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            parcoords.line.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.parcoords.line.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.parcoords.line.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.parcoo
-            rds.line.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            parcoords.line.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.parcoords.line.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            parcoords.line.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            parcoords.line.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.line.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.line.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords.line import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "colorbar"]
-
-from plotly.graph_objs.parcoords.line import colorbar
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/_colorbar.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/_colorbar.py
new file mode 100644
index 00000000000..5cad55b6d99
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords.line"
+    _path_str = "parcoords.line.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.line.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.parcoords.line.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.parcoords.line.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.parcoords.line
+        .colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        parcoords.line.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.line.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.line.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use parcoords.line.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use parcoords.line.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.parcoords.line.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.parcoo
+            rds.line.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            parcoords.line.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.parcoords.line.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            parcoords.line.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            parcoords.line.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.parcoords.line.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.parcoords.line.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.parcoo
+            rds.line.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            parcoords.line.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.parcoords.line.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            parcoords.line.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            parcoords.line.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.line.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.line.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/__init__.py
index 14bb2bcf70d..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.parcoords.line.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcoords.line
-            .colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.line.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords.line.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcoords.line
-            .colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.line.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords.line.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcoords.line
-            .colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.line.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords.line.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.parcoords.line.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_tickfont.py
new file mode 100644
index 00000000000..5c2fb2c8fd0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords.line.colorbar"
+    _path_str = "parcoords.line.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcoords.line
+            .colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.line.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..77ebb917c1a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords.line.colorbar"
+    _path_str = "parcoords.line.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcoords.line
+            .colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.line.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_title.py
new file mode 100644
index 00000000000..9cf699afc59
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords.line.colorbar"
+    _path_str = "parcoords.line.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.parcoords.line.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.parcoords.line.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcoords.line
+            .colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.line.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/__init__.py
index 225a9e59039..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "parcoords.line.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.parcoords.line
-            .colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.parcoords.line.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.parcoords.line.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/_font.py
new file mode 100644
index 00000000000..42bc2cf6c29
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/parcoords/line/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "parcoords.line.colorbar.title"
+    _path_str = "parcoords.line.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.parcoords.line
+            .colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.parcoords.line.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.parcoords.line.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/__init__.py b/packages/python/plotly/plotly/graph_objs/pie/__init__.py
index 4be7cde8699..e0b2e80816f 100644
--- a/packages/python/plotly/plotly/graph_objs/pie/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pie/__init__.py
@@ -1,2231 +1,31 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used for `title`. Note that the title's font used
-        to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # position
-    # --------
-    @property
-    def position(self):
-        """
-        Specifies the location of the `title`. Note that the title's
-        position used to be set by the now deprecated `titleposition`
-        attribute.
-    
-        The 'position' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top left', 'top center', 'top right', 'middle center',
-                'bottom left', 'bottom center', 'bottom right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["position"]
-
-    @position.setter
-    def position(self, val):
-        self["position"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the chart. If it is empty, no title is
-        displayed. Note that before the existence of `title.text`, the
-        title's contents used to be defined as the `title` attribute
-        itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets the font used for `title`. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        position
-            Specifies the location of the `title`. Note that the
-            title's position used to be set by the now deprecated
-            `titleposition` attribute.
-        text
-            Sets the title of the chart. If it is empty, no title
-            is displayed. Note that before the existence of
-            `title.text`, the title's contents used to be defined
-            as the `title` attribute itself. This behavior has been
-            deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, position=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.pie.Title`
-        font
-            Sets the font used for `title`. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        position
-            Specifies the location of the `title`. Note that the
-            title's position used to be set by the now deprecated
-            `titleposition` attribute.
-        text
-            Sets the title of the chart. If it is empty, no title
-            is displayed. Note that before the existence of
-            `title.text`, the title's contents used to be defined
-            as the `title` attribute itself. This behavior has been
-            deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["position"] = v_title.PositionValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("position", None)
-        self["position"] = position if position is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `textinfo`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.pie.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.pie.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Outsidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Outsidetextfont object
-        
-        Sets the font used for `textinfo` lying outside the sector.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pie.Outsidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Outsidetextfont
-        """
-        super(Outsidetextfont, self).__init__("outsidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Outsidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Outsidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import outsidetextfont as v_outsidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_outsidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_outsidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_outsidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_outsidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_outsidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_outsidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # colors
-    # ------
-    @property
-    def colors(self):
-        """
-        Sets the color of each sector. If not specified, the default
-        trace color set is used to pick the sector colors.
-    
-        The 'colors' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["colors"]
-
-    @colors.setter
-    def colors(self, val):
-        self["colors"] = val
-
-    # colorssrc
-    # ---------
-    @property
-    def colorssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  colors .
-    
-        The 'colorssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorssrc"]
-
-    @colorssrc.setter
-    def colorssrc(self, val):
-        self["colorssrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the line enclosing each
-                    sector.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the line enclosing
-                    each sector.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        colors
-            Sets the color of each sector. If not specified, the
-            default trace color set is used to pick the sector
-            colors.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        line
-            :class:`plotly.graph_objects.pie.marker.Line` instance
-            or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, colors=None, colorssrc=None, line=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.pie.Marker`
-        colors
-            Sets the color of each sector. If not specified, the
-            default trace color set is used to pick the sector
-            colors.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        line
-            :class:`plotly.graph_objects.pie.marker.Line` instance
-            or dict with compatible properties
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["colors"] = v_marker.ColorsValidator()
-        self._validators["colorssrc"] = v_marker.ColorssrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("colors", None)
-        self["colors"] = colors if colors is not None else _v
-        _v = arg.pop("colorssrc", None)
-        self["colorssrc"] = colorssrc if colorssrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `textinfo` lying inside the sector.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pie.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pie.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.pie.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pie.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this pie trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this pie trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this pie trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this pie trace (in plot fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this pie trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this pie trace .
-        x
-            Sets the horizontal domain of this pie trace (in plot
-            fraction).
-        y
-            Sets the vertical domain of this pie trace (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.pie.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this pie trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this pie trace .
-        x
-            Sets the horizontal domain of this pie trace (in plot
-            fraction).
-        y
-            Sets the vertical domain of this pie trace (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Domain",
-    "Hoverlabel",
-    "Insidetextfont",
-    "Marker",
-    "Outsidetextfont",
-    "Stream",
-    "Textfont",
-    "Title",
-    "hoverlabel",
-    "marker",
-    "title",
-]
-
-from plotly.graph_objs.pie import title
-from plotly.graph_objs.pie import marker
-from plotly.graph_objs.pie import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._outsidetextfont import Outsidetextfont
+    from ._marker import Marker
+    from ._insidetextfont import Insidetextfont
+    from ._hoverlabel import Hoverlabel
+    from ._domain import Domain
+    from . import title
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title", ".marker", ".hoverlabel"],
+        [
+            "._title.Title",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._outsidetextfont.Outsidetextfont",
+            "._marker.Marker",
+            "._insidetextfont.Insidetextfont",
+            "._hoverlabel.Hoverlabel",
+            "._domain.Domain",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_domain.py b/packages/python/plotly/plotly/graph_objs/pie/_domain.py
new file mode 100644
index 00000000000..ba1eb789690
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_domain.py
@@ -0,0 +1,204 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this pie trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this pie trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this pie trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this pie trace (in plot fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this pie trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this pie trace .
+        x
+            Sets the horizontal domain of this pie trace (in plot
+            fraction).
+        y
+            Sets the vertical domain of this pie trace (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.pie.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this pie trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this pie trace .
+        x
+            Sets the horizontal domain of this pie trace (in plot
+            fraction).
+        y
+            Sets the vertical domain of this pie trace (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/pie/_hoverlabel.py
new file mode 100644
index 00000000000..d355805019b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pie.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/pie/_insidetextfont.py
new file mode 100644
index 00000000000..4f9833f3c4b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `textinfo` lying inside the sector.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pie.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_marker.py b/packages/python/plotly/plotly/graph_objs/pie/_marker.py
new file mode 100644
index 00000000000..2fb72eacdec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_marker.py
@@ -0,0 +1,178 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.marker"
+    _valid_props = {"colors", "colorssrc", "line"}
+
+    # colors
+    # ------
+    @property
+    def colors(self):
+        """
+        Sets the color of each sector. If not specified, the default
+        trace color set is used to pick the sector colors.
+    
+        The 'colors' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["colors"]
+
+    @colors.setter
+    def colors(self, val):
+        self["colors"] = val
+
+    # colorssrc
+    # ---------
+    @property
+    def colorssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  colors .
+    
+        The 'colorssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorssrc"]
+
+    @colorssrc.setter
+    def colorssrc(self, val):
+        self["colorssrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the line enclosing each
+                    sector.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the line enclosing
+                    each sector.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        colors
+            Sets the color of each sector. If not specified, the
+            default trace color set is used to pick the sector
+            colors.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        line
+            :class:`plotly.graph_objects.pie.marker.Line` instance
+            or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, colors=None, colorssrc=None, line=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.pie.Marker`
+        colors
+            Sets the color of each sector. If not specified, the
+            default trace color set is used to pick the sector
+            colors.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        line
+            :class:`plotly.graph_objects.pie.marker.Line` instance
+            or dict with compatible properties
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("colors", None)
+        _v = colors if colors is not None else _v
+        if _v is not None:
+            self["colors"] = _v
+        _v = arg.pop("colorssrc", None)
+        _v = colorssrc if colorssrc is not None else _v
+        if _v is not None:
+            self["colorssrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_outsidetextfont.py b/packages/python/plotly/plotly/graph_objs/pie/_outsidetextfont.py
new file mode 100644
index 00000000000..cf77b7b9b98
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_outsidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Outsidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.outsidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Outsidetextfont object
+        
+        Sets the font used for `textinfo` lying outside the sector.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pie.Outsidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Outsidetextfont
+        """
+        super(Outsidetextfont, self).__init__("outsidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Outsidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Outsidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_stream.py b/packages/python/plotly/plotly/graph_objs/pie/_stream.py
new file mode 100644
index 00000000000..fa74fd26b76
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.pie.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_textfont.py b/packages/python/plotly/plotly/graph_objs/pie/_textfont.py
new file mode 100644
index 00000000000..9b01f915ec8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_textfont.py
@@ -0,0 +1,328 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `textinfo`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.pie.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/_title.py b/packages/python/plotly/plotly/graph_objs/pie/_title.py
new file mode 100644
index 00000000000..43daeb4baad
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/_title.py
@@ -0,0 +1,214 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie"
+    _path_str = "pie.title"
+    _valid_props = {"font", "position", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used for `title`. Note that the title's font used
+        to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pie.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.pie.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # position
+    # --------
+    @property
+    def position(self):
+        """
+        Specifies the location of the `title`. Note that the title's
+        position used to be set by the now deprecated `titleposition`
+        attribute.
+    
+        The 'position' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top left', 'top center', 'top right', 'middle center',
+                'bottom left', 'bottom center', 'bottom right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["position"]
+
+    @position.setter
+    def position(self, val):
+        self["position"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the chart. If it is empty, no title is
+        displayed. Note that before the existence of `title.text`, the
+        title's contents used to be defined as the `title` attribute
+        itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets the font used for `title`. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        position
+            Specifies the location of the `title`. Note that the
+            title's position used to be set by the now deprecated
+            `titleposition` attribute.
+        text
+            Sets the title of the chart. If it is empty, no title
+            is displayed. Note that before the existence of
+            `title.text`, the title's contents used to be defined
+            as the `title` attribute itself. This behavior has been
+            deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, position=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.pie.Title`
+        font
+            Sets the font used for `title`. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        position
+            Specifies the location of the `title`. Note that the
+            title's position used to be set by the now deprecated
+            `titleposition` attribute.
+        text
+            Sets the title of the chart. If it is empty, no title
+            is displayed. Note that before the existence of
+            `title.text`, the title's contents used to be defined
+            as the `title` attribute itself. This behavior has been
+            deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("position", None)
+        _v = position if position is not None else _v
+        if _v is not None:
+            self["position"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/__init__.py
index d8974a71452..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pie.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/_font.py
new file mode 100644
index 00000000000..a6ce008c762
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie.hoverlabel"
+    _path_str = "pie.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pie.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/pie/marker/__init__.py
index ed1d7586d8f..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/pie/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pie/marker/__init__.py
@@ -1,233 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the line enclosing each sector.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the line enclosing each sector.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the line enclosing each sector.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pie.marker.Line`
-        color
-            Sets the color of the line enclosing each sector.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/pie/marker/_line.py b/packages/python/plotly/plotly/graph_objs/pie/marker/_line.py
new file mode 100644
index 00000000000..cfccb1d9bdd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/marker/_line.py
@@ -0,0 +1,231 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie.marker"
+    _path_str = "pie.marker.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the line enclosing each sector.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the line enclosing each sector.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the line enclosing each sector.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pie.marker.Line`
+        color
+            Sets the color of the line enclosing each sector.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pie/title/__init__.py b/packages/python/plotly/plotly/graph_objs/pie/title/__init__.py
index 889b784903a..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/pie/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pie/title/__init__.py
@@ -1,330 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pie.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used for `title`. Note that the title's font used
-        to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pie.title.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pie.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pie.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pie.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/pie/title/_font.py b/packages/python/plotly/plotly/graph_objs/pie/title/_font.py
new file mode 100644
index 00000000000..d972003e8e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pie/title/_font.py
@@ -0,0 +1,330 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pie.title"
+    _path_str = "pie.title.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used for `title`. Note that the title's font used
+        to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pie.title.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pie.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pie.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/__init__.py b/packages/python/plotly/plotly/graph_objs/pointcloud/__init__.py
index 1d83b15ef12..78b3f6f35a6 100644
--- a/packages/python/plotly/plotly/graph_objs/pointcloud/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/__init__.py
@@ -1,976 +1,16 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pointcloud"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pointcloud.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pointcloud.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pointcloud.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pointcloud import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # blend
-    # -----
-    @property
-    def blend(self):
-        """
-        Determines if colors are blended together for a translucency
-        effect in case `opacity` is specified as a value less then `1`.
-        Setting `blend` to `true` reduces zoom/pan speed if used with
-        large numbers of points.
-    
-        The 'blend' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["blend"]
-
-    @blend.setter
-    def blend(self, val):
-        self["blend"] = val
-
-    # border
-    # ------
-    @property
-    def border(self):
-        """
-        The 'border' property is an instance of Border
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pointcloud.marker.Border`
-          - A dict of string/value properties that will be passed
-            to the Border constructor
-    
-            Supported dict properties:
-                
-                arearatio
-                    Specifies what fraction of the marker area is
-                    covered with the border.
-                color
-                    Sets the stroke color. It accepts a specific
-                    color. If the color is not fully opaque and
-                    there are hundreds of thousands of points, it
-                    may cause slower zooming and panning.
-
-        Returns
-        -------
-        plotly.graph_objs.pointcloud.marker.Border
-        """
-        return self["border"]
-
-    @border.setter
-    def border(self, val):
-        self["border"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker fill color. It accepts a specific color.If the
-        color is not fully opaque and there are hundreds of thousandsof
-        points, it may cause slower zooming and panning.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity. The default value is `1` (fully
-        opaque). If the markers are not fully opaque and there are
-        hundreds of thousands of points, it may cause slower zooming
-        and panning. Opacity fades the color even if `blend` is left on
-        `false` even if there is no translucency effect in that case.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # sizemax
-    # -------
-    @property
-    def sizemax(self):
-        """
-        Sets the maximum size (in px) of the rendered marker points.
-        Effective when the `pointcloud` shows only few points.
-    
-        The 'sizemax' property is a number and may be specified as:
-          - An int or float in the interval [0.1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemax"]
-
-    @sizemax.setter
-    def sizemax(self, val):
-        self["sizemax"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Sets the minimum size (in px) of the rendered marker points,
-        effective when the `pointcloud` shows a million or more points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0.1, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pointcloud"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        blend
-            Determines if colors are blended together for a
-            translucency effect in case `opacity` is specified as a
-            value less then `1`. Setting `blend` to `true` reduces
-            zoom/pan speed if used with large numbers of points.
-        border
-            :class:`plotly.graph_objects.pointcloud.marker.Border`
-            instance or dict with compatible properties
-        color
-            Sets the marker fill color. It accepts a specific
-            color.If the color is not fully opaque and there are
-            hundreds of thousandsof points, it may cause slower
-            zooming and panning.
-        opacity
-            Sets the marker opacity. The default value is `1`
-            (fully opaque). If the markers are not fully opaque and
-            there are hundreds of thousands of points, it may cause
-            slower zooming and panning. Opacity fades the color
-            even if `blend` is left on `false` even if there is no
-            translucency effect in that case.
-        sizemax
-            Sets the maximum size (in px) of the rendered marker
-            points. Effective when the `pointcloud` shows only few
-            points.
-        sizemin
-            Sets the minimum size (in px) of the rendered marker
-            points, effective when the `pointcloud` shows a million
-            or more points.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        blend=None,
-        border=None,
-        color=None,
-        opacity=None,
-        sizemax=None,
-        sizemin=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pointcloud.Marker`
-        blend
-            Determines if colors are blended together for a
-            translucency effect in case `opacity` is specified as a
-            value less then `1`. Setting `blend` to `true` reduces
-            zoom/pan speed if used with large numbers of points.
-        border
-            :class:`plotly.graph_objects.pointcloud.marker.Border`
-            instance or dict with compatible properties
-        color
-            Sets the marker fill color. It accepts a specific
-            color.If the color is not fully opaque and there are
-            hundreds of thousandsof points, it may cause slower
-            zooming and panning.
-        opacity
-            Sets the marker opacity. The default value is `1`
-            (fully opaque). If the markers are not fully opaque and
-            there are hundreds of thousands of points, it may cause
-            slower zooming and panning. Opacity fades the color
-            even if `blend` is left on `false` even if there is no
-            translucency effect in that case.
-        sizemax
-            Sets the maximum size (in px) of the rendered marker
-            points. Effective when the `pointcloud` shows only few
-            points.
-        sizemin
-            Sets the minimum size (in px) of the rendered marker
-            points, effective when the `pointcloud` shows a million
-            or more points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pointcloud.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pointcloud.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pointcloud import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["blend"] = v_marker.BlendValidator()
-        self._validators["border"] = v_marker.BorderValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["sizemax"] = v_marker.SizemaxValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("blend", None)
-        self["blend"] = blend if blend is not None else _v
-        _v = arg.pop("border", None)
-        self["border"] = border if border is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("sizemax", None)
-        self["sizemax"] = sizemax if sizemax is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.pointcloud.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.pointcloud.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pointcloud"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pointcloud.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pointcloud.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pointcloud.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pointcloud import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Hoverlabel", "Marker", "Stream", "hoverlabel", "marker"]
-
-from plotly.graph_objs.pointcloud import marker
-from plotly.graph_objs.pointcloud import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".marker", ".hoverlabel"],
+        ["._stream.Stream", "._marker.Marker", "._hoverlabel.Hoverlabel"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/pointcloud/_hoverlabel.py
new file mode 100644
index 00000000000..ddf1b0eb7df
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pointcloud"
+    _path_str = "pointcloud.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pointcloud.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.pointcloud.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pointcloud.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pointcloud.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pointcloud.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/_marker.py b/packages/python/plotly/plotly/graph_objs/pointcloud/_marker.py
new file mode 100644
index 00000000000..37a26443841
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/_marker.py
@@ -0,0 +1,342 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pointcloud"
+    _path_str = "pointcloud.marker"
+    _valid_props = {"blend", "border", "color", "opacity", "sizemax", "sizemin"}
+
+    # blend
+    # -----
+    @property
+    def blend(self):
+        """
+        Determines if colors are blended together for a translucency
+        effect in case `opacity` is specified as a value less then `1`.
+        Setting `blend` to `true` reduces zoom/pan speed if used with
+        large numbers of points.
+    
+        The 'blend' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["blend"]
+
+    @blend.setter
+    def blend(self, val):
+        self["blend"] = val
+
+    # border
+    # ------
+    @property
+    def border(self):
+        """
+        The 'border' property is an instance of Border
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.pointcloud.marker.Border`
+          - A dict of string/value properties that will be passed
+            to the Border constructor
+    
+            Supported dict properties:
+                
+                arearatio
+                    Specifies what fraction of the marker area is
+                    covered with the border.
+                color
+                    Sets the stroke color. It accepts a specific
+                    color. If the color is not fully opaque and
+                    there are hundreds of thousands of points, it
+                    may cause slower zooming and panning.
+
+        Returns
+        -------
+        plotly.graph_objs.pointcloud.marker.Border
+        """
+        return self["border"]
+
+    @border.setter
+    def border(self, val):
+        self["border"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker fill color. It accepts a specific color.If the
+        color is not fully opaque and there are hundreds of thousandsof
+        points, it may cause slower zooming and panning.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity. The default value is `1` (fully
+        opaque). If the markers are not fully opaque and there are
+        hundreds of thousands of points, it may cause slower zooming
+        and panning. Opacity fades the color even if `blend` is left on
+        `false` even if there is no translucency effect in that case.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # sizemax
+    # -------
+    @property
+    def sizemax(self):
+        """
+        Sets the maximum size (in px) of the rendered marker points.
+        Effective when the `pointcloud` shows only few points.
+    
+        The 'sizemax' property is a number and may be specified as:
+          - An int or float in the interval [0.1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemax"]
+
+    @sizemax.setter
+    def sizemax(self, val):
+        self["sizemax"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Sets the minimum size (in px) of the rendered marker points,
+        effective when the `pointcloud` shows a million or more points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0.1, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        blend
+            Determines if colors are blended together for a
+            translucency effect in case `opacity` is specified as a
+            value less then `1`. Setting `blend` to `true` reduces
+            zoom/pan speed if used with large numbers of points.
+        border
+            :class:`plotly.graph_objects.pointcloud.marker.Border`
+            instance or dict with compatible properties
+        color
+            Sets the marker fill color. It accepts a specific
+            color.If the color is not fully opaque and there are
+            hundreds of thousandsof points, it may cause slower
+            zooming and panning.
+        opacity
+            Sets the marker opacity. The default value is `1`
+            (fully opaque). If the markers are not fully opaque and
+            there are hundreds of thousands of points, it may cause
+            slower zooming and panning. Opacity fades the color
+            even if `blend` is left on `false` even if there is no
+            translucency effect in that case.
+        sizemax
+            Sets the maximum size (in px) of the rendered marker
+            points. Effective when the `pointcloud` shows only few
+            points.
+        sizemin
+            Sets the minimum size (in px) of the rendered marker
+            points, effective when the `pointcloud` shows a million
+            or more points.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        blend=None,
+        border=None,
+        color=None,
+        opacity=None,
+        sizemax=None,
+        sizemin=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pointcloud.Marker`
+        blend
+            Determines if colors are blended together for a
+            translucency effect in case `opacity` is specified as a
+            value less then `1`. Setting `blend` to `true` reduces
+            zoom/pan speed if used with large numbers of points.
+        border
+            :class:`plotly.graph_objects.pointcloud.marker.Border`
+            instance or dict with compatible properties
+        color
+            Sets the marker fill color. It accepts a specific
+            color.If the color is not fully opaque and there are
+            hundreds of thousandsof points, it may cause slower
+            zooming and panning.
+        opacity
+            Sets the marker opacity. The default value is `1`
+            (fully opaque). If the markers are not fully opaque and
+            there are hundreds of thousands of points, it may cause
+            slower zooming and panning. Opacity fades the color
+            even if `blend` is left on `false` even if there is no
+            translucency effect in that case.
+        sizemax
+            Sets the maximum size (in px) of the rendered marker
+            points. Effective when the `pointcloud` shows only few
+            points.
+        sizemin
+            Sets the minimum size (in px) of the rendered marker
+            points, effective when the `pointcloud` shows a million
+            or more points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pointcloud.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pointcloud.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("blend", None)
+        _v = blend if blend is not None else _v
+        if _v is not None:
+            self["blend"] = _v
+        _v = arg.pop("border", None)
+        _v = border if border is not None else _v
+        if _v is not None:
+            self["border"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("sizemax", None)
+        _v = sizemax if sizemax is not None else _v
+        if _v is not None:
+            self["sizemax"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/_stream.py b/packages/python/plotly/plotly/graph_objs/pointcloud/_stream.py
new file mode 100644
index 00000000000..5ecbca157aa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pointcloud"
+    _path_str = "pointcloud.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pointcloud.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pointcloud.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pointcloud.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/__init__.py
index a797d5ce724..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pointcloud.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pointcloud.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pointcloud.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pointcloud.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pointcloud.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/_font.py
new file mode 100644
index 00000000000..146c1ff4734
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pointcloud.hoverlabel"
+    _path_str = "pointcloud.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pointcloud.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pointcloud.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pointcloud.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/pointcloud/marker/__init__.py
index 9f34c3a462e..f08e014ad65 100644
--- a/packages/python/plotly/plotly/graph_objs/pointcloud/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/marker/__init__.py
@@ -1,180 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._border import Border
+else:
+    from _plotly_utils.importers import relative_import
 
-class Border(_BaseTraceHierarchyType):
-
-    # arearatio
-    # ---------
-    @property
-    def arearatio(self):
-        """
-        Specifies what fraction of the marker area is covered with the
-        border.
-    
-        The 'arearatio' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["arearatio"]
-
-    @arearatio.setter
-    def arearatio(self, val):
-        self["arearatio"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stroke color. It accepts a specific color. If the
-        color is not fully opaque and there are hundreds of thousands
-        of points, it may cause slower zooming and panning.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "pointcloud.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        arearatio
-            Specifies what fraction of the marker area is covered
-            with the border.
-        color
-            Sets the stroke color. It accepts a specific color. If
-            the color is not fully opaque and there are hundreds of
-            thousands of points, it may cause slower zooming and
-            panning.
-        """
-
-    def __init__(self, arg=None, arearatio=None, color=None, **kwargs):
-        """
-        Construct a new Border object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.pointcloud.marker.Border`
-        arearatio
-            Specifies what fraction of the marker area is covered
-            with the border.
-        color
-            Sets the stroke color. It accepts a specific color. If
-            the color is not fully opaque and there are hundreds of
-            thousands of points, it may cause slower zooming and
-            panning.
-
-        Returns
-        -------
-        Border
-        """
-        super(Border, self).__init__("border")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.pointcloud.marker.Border 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.pointcloud.marker.Border`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.pointcloud.marker import border as v_border
-
-        # Initialize validators
-        # ---------------------
-        self._validators["arearatio"] = v_border.ArearatioValidator()
-        self._validators["color"] = v_border.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("arearatio", None)
-        self["arearatio"] = arearatio if arearatio is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Border"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._border.Border"])
diff --git a/packages/python/plotly/plotly/graph_objs/pointcloud/marker/_border.py b/packages/python/plotly/plotly/graph_objs/pointcloud/marker/_border.py
new file mode 100644
index 00000000000..b729b6cd2b7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/pointcloud/marker/_border.py
@@ -0,0 +1,176 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Border(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "pointcloud.marker"
+    _path_str = "pointcloud.marker.border"
+    _valid_props = {"arearatio", "color"}
+
+    # arearatio
+    # ---------
+    @property
+    def arearatio(self):
+        """
+        Specifies what fraction of the marker area is covered with the
+        border.
+    
+        The 'arearatio' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["arearatio"]
+
+    @arearatio.setter
+    def arearatio(self, val):
+        self["arearatio"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stroke color. It accepts a specific color. If the
+        color is not fully opaque and there are hundreds of thousands
+        of points, it may cause slower zooming and panning.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        arearatio
+            Specifies what fraction of the marker area is covered
+            with the border.
+        color
+            Sets the stroke color. It accepts a specific color. If
+            the color is not fully opaque and there are hundreds of
+            thousands of points, it may cause slower zooming and
+            panning.
+        """
+
+    def __init__(self, arg=None, arearatio=None, color=None, **kwargs):
+        """
+        Construct a new Border object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.pointcloud.marker.Border`
+        arearatio
+            Specifies what fraction of the marker area is covered
+            with the border.
+        color
+            Sets the stroke color. It accepts a specific color. If
+            the color is not fully opaque and there are hundreds of
+            thousands of points, it may cause slower zooming and
+            panning.
+
+        Returns
+        -------
+        Border
+        """
+        super(Border, self).__init__("border")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.pointcloud.marker.Border 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.pointcloud.marker.Border`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("arearatio", None)
+        _v = arearatio if arearatio is not None else _v
+        if _v is not None:
+            self["arearatio"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/__init__.py b/packages/python/plotly/plotly/graph_objs/sankey/__init__.py
index 951083a2bed..68290cba307 100644
--- a/packages/python/plotly/plotly/graph_objs/sankey/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sankey/__init__.py
@@ -1,2760 +1,27 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Sets the font for node labels
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.Textfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sankey.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Node(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the `node` color. It can be a single value, or an array
-        for specifying color for each `node`. If `node.color` is
-        omitted, then the default `Plotly` color palette will be cycled
-        through to have a variety of colors. These defaults are not
-        fully opaque, to allow some visibility of what is beneath the
-        node.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data to each node.
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # groups
-    # ------
-    @property
-    def groups(self):
-        """
-        Groups of nodes. Each group is defined by an array with the
-        indices of the nodes it contains. Multiple groups can be
-        specified.
-    
-        The 'groups' property is an info array that may be specified as:
-        * a 2D list where:
-          The 'groups[i][j]' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        list
-        """
-        return self["groups"]
-
-    @groups.setter
-    def groups(self, val):
-        self["groups"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear when hovering nodes.
-        If `none` or `skip` are set, no information is displayed upon
-        hovering. But, if `none` is set, click and hover events are
-        still fired.
-    
-        The 'hoverinfo' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'none', 'skip']
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.node.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.node.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `value` and `label`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        The shown name of the node.
-    
-        The 'label' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # labelsrc
-    # --------
-    @property
-    def labelsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  label .
-    
-        The 'labelsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["labelsrc"]
-
-    @labelsrc.setter
-    def labelsrc(self, val):
-        self["labelsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.node.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the `line` around each
-                    `node`.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the `line` around
-                    each `node`.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.node.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        Sets the padding (in px) between the `nodes`.
-    
-        The 'pad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the `nodes`.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The normalized horizontal position of the node.
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The normalized vertical position of the node.
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the `node` color. It can be a single value, or an
-            array for specifying color for each `node`. If
-            `node.color` is omitted, then the default `Plotly`
-            color palette will be cycled through to have a variety
-            of colors. These defaults are not fully opaque, to
-            allow some visibility of what is beneath the node.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        customdata
-            Assigns extra data to each node.
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        groups
-            Groups of nodes. Each group is defined by an array with
-            the indices of the nodes it contains. Multiple groups
-            can be specified.
-        hoverinfo
-            Determines which trace information appear when hovering
-            nodes. If `none` or `skip` are set, no information is
-            displayed upon hovering. But, if `none` is set, click
-            and hover events are still fired.
-        hoverlabel
-            :class:`plotly.graph_objects.sankey.node.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `value` and `label`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        label
-            The shown name of the node.
-        labelsrc
-            Sets the source reference on Chart Studio Cloud for
-            label .
-        line
-            :class:`plotly.graph_objects.sankey.node.Line` instance
-            or dict with compatible properties
-        pad
-            Sets the padding (in px) between the `nodes`.
-        thickness
-            Sets the thickness (in px) of the `nodes`.
-        x
-            The normalized horizontal position of the node.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            The normalized vertical position of the node.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        customdata=None,
-        customdatasrc=None,
-        groups=None,
-        hoverinfo=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        label=None,
-        labelsrc=None,
-        line=None,
-        pad=None,
-        thickness=None,
-        x=None,
-        xsrc=None,
-        y=None,
-        ysrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Node object
-        
-        The nodes of the Sankey plot.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sankey.Node`
-        color
-            Sets the `node` color. It can be a single value, or an
-            array for specifying color for each `node`. If
-            `node.color` is omitted, then the default `Plotly`
-            color palette will be cycled through to have a variety
-            of colors. These defaults are not fully opaque, to
-            allow some visibility of what is beneath the node.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        customdata
-            Assigns extra data to each node.
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        groups
-            Groups of nodes. Each group is defined by an array with
-            the indices of the nodes it contains. Multiple groups
-            can be specified.
-        hoverinfo
-            Determines which trace information appear when hovering
-            nodes. If `none` or `skip` are set, no information is
-            displayed upon hovering. But, if `none` is set, click
-            and hover events are still fired.
-        hoverlabel
-            :class:`plotly.graph_objects.sankey.node.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `value` and `label`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        label
-            The shown name of the node.
-        labelsrc
-            Sets the source reference on Chart Studio Cloud for
-            label .
-        line
-            :class:`plotly.graph_objects.sankey.node.Line` instance
-            or dict with compatible properties
-        pad
-            Sets the padding (in px) between the `nodes`.
-        thickness
-            Sets the thickness (in px) of the `nodes`.
-        x
-            The normalized horizontal position of the node.
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            The normalized vertical position of the node.
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-
-        Returns
-        -------
-        Node
-        """
-        super(Node, self).__init__("node")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.Node 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.Node`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey import node as v_node
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_node.ColorValidator()
-        self._validators["colorsrc"] = v_node.ColorsrcValidator()
-        self._validators["customdata"] = v_node.CustomdataValidator()
-        self._validators["customdatasrc"] = v_node.CustomdatasrcValidator()
-        self._validators["groups"] = v_node.GroupsValidator()
-        self._validators["hoverinfo"] = v_node.HoverinfoValidator()
-        self._validators["hoverlabel"] = v_node.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_node.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_node.HovertemplatesrcValidator()
-        self._validators["label"] = v_node.LabelValidator()
-        self._validators["labelsrc"] = v_node.LabelsrcValidator()
-        self._validators["line"] = v_node.LineValidator()
-        self._validators["pad"] = v_node.PadValidator()
-        self._validators["thickness"] = v_node.ThicknessValidator()
-        self._validators["x"] = v_node.XValidator()
-        self._validators["xsrc"] = v_node.XsrcValidator()
-        self._validators["y"] = v_node.YValidator()
-        self._validators["ysrc"] = v_node.YsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("groups", None)
-        self["groups"] = groups if groups is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("labelsrc", None)
-        self["labelsrc"] = labelsrc if labelsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Link(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the `link` color. It can be a single value, or an array
-        for specifying color for each `link`. If `link.color` is
-        omitted, then by default, a translucent grey link will be used.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorscales
-    # -----------
-    @property
-    def colorscales(self):
-        """
-        The 'colorscales' property is a tuple of instances of
-        Colorscale that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.sankey.link.Colorscale
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Colorscale constructor
-    
-            Supported dict properties:
-                
-                cmax
-                    Sets the upper bound of the color domain.
-                cmin
-                    Sets the lower bound of the color domain.
-                colorscale
-                    Sets the colorscale. The colorscale must be an
-                    array containing arrays mapping a normalized
-                    value to an rgb, rgba, hex, hsl, hsv, or named
-                    color string. At minimum, a mapping for the
-                    lowest (0) and highest (1) values are required.
-                    For example, `[[0, 'rgb(0,0,255)'], [1,
-                    'rgb(255,0,0)']]`. To control the bounds of the
-                    colorscale in color space, use`cmin` and
-                    `cmax`. Alternatively, `colorscale` may be a
-                    palette name string of the following list: Grey
-                    s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                    Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                    ,Electric,Viridis,Cividis.
-                label
-                    The label of the links to color based on their
-                    concentration within a flow.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.sankey.link.Colorscale]
-        """
-        return self["colorscales"]
-
-    @colorscales.setter
-    def colorscales(self, val):
-        self["colorscales"] = val
-
-    # colorscaledefaults
-    # ------------------
-    @property
-    def colorscaledefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.sankey.link.colorscaledefaults), sets the
-        default property values to use for elements of
-        sankey.link.colorscales
-    
-        The 'colorscaledefaults' property is an instance of Colorscale
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.link.Colorscale`
-          - A dict of string/value properties that will be passed
-            to the Colorscale constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.link.Colorscale
-        """
-        return self["colorscaledefaults"]
-
-    @colorscaledefaults.setter
-    def colorscaledefaults(self, val):
-        self["colorscaledefaults"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # customdata
-    # ----------
-    @property
-    def customdata(self):
-        """
-        Assigns extra data to each link.
-    
-        The 'customdata' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["customdata"]
-
-    @customdata.setter
-    def customdata(self, val):
-        self["customdata"] = val
-
-    # customdatasrc
-    # -------------
-    @property
-    def customdatasrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  customdata
-        .
-    
-        The 'customdatasrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["customdatasrc"]
-
-    @customdatasrc.setter
-    def customdatasrc(self, val):
-        self["customdatasrc"] = val
-
-    # hoverinfo
-    # ---------
-    @property
-    def hoverinfo(self):
-        """
-        Determines which trace information appear when hovering links.
-        If `none` or `skip` are set, no information is displayed upon
-        hovering. But, if `none` is set, click and hover events are
-        still fired.
-    
-        The 'hoverinfo' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'none', 'skip']
-
-        Returns
-        -------
-        Any
-        """
-        return self["hoverinfo"]
-
-    @hoverinfo.setter
-    def hoverinfo(self, val):
-        self["hoverinfo"] = val
-
-    # hoverlabel
-    # ----------
-    @property
-    def hoverlabel(self):
-        """
-        The 'hoverlabel' property is an instance of Hoverlabel
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.link.Hoverlabel`
-          - A dict of string/value properties that will be passed
-            to the Hoverlabel constructor
-    
-            Supported dict properties:
-                
-                align
-                    Sets the horizontal alignment of the text
-                    content within hover label box. Has an effect
-                    only if the hover label text spans more two or
-                    more lines
-                alignsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  align .
-                bgcolor
-                    Sets the background color of the hover labels
-                    for this trace
-                bgcolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bgcolor .
-                bordercolor
-                    Sets the border color of the hover labels for
-                    this trace.
-                bordercolorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  bordercolor .
-                font
-                    Sets the font used in hover labels.
-                namelength
-                    Sets the default length (in number of
-                    characters) of the trace name in the hover
-                    labels for all traces. -1 shows the whole name
-                    regardless of length. 0-3 shows the first 0-3
-                    characters, and an integer >3 will show the
-                    whole name if it is less than that many
-                    characters, but if it is longer, will truncate
-                    to `namelength - 3` characters and add an
-                    ellipsis.
-                namelengthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  namelength .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.link.Hoverlabel
-        """
-        return self["hoverlabel"]
-
-    @hoverlabel.setter
-    def hoverlabel(self, val):
-        self["hoverlabel"] = val
-
-    # hovertemplate
-    # -------------
-    @property
-    def hovertemplate(self):
-        """
-        Template string used for rendering the information that appear
-        on hover box. Note that this will override `hoverinfo`.
-        Variables are inserted using %{variable}, for example "y:
-        %{y}". Numbers are formatted using d3-format's syntax
-        %{variable:d3-format}, for example "Price: %{y:$.2f}".
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format for details on
-        the formatting syntax. Dates are formatted using d3-time-
-        format's syntax %{variable|d3-time-format}, for example "Day:
-        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format for details on
-        the date formatting syntax. The variables available in
-        `hovertemplate` are the ones emitted as event data described at
-        this link https://plotly.com/javascript/plotlyjs-events/#event-
-        data. Additionally, every attributes that can be specified per-
-        point (the ones that are `arrayOk: true`) are available.
-        variables `value` and `label`. Anything contained in tag
-        `<extra>` is displayed in the secondary box, for example
-        "<extra>{fullData.name}</extra>". To hide the secondary box
-        completely, use an empty tag `<extra></extra>`.
-    
-        The 'hovertemplate' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["hovertemplate"]
-
-    @hovertemplate.setter
-    def hovertemplate(self, val):
-        self["hovertemplate"] = val
-
-    # hovertemplatesrc
-    # ----------------
-    @property
-    def hovertemplatesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        hovertemplate .
-    
-        The 'hovertemplatesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["hovertemplatesrc"]
-
-    @hovertemplatesrc.setter
-    def hovertemplatesrc(self, val):
-        self["hovertemplatesrc"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        The shown name of the link.
-    
-        The 'label' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # labelsrc
-    # --------
-    @property
-    def labelsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  label .
-    
-        The 'labelsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["labelsrc"]
-
-    @labelsrc.setter
-    def labelsrc(self, val):
-        self["labelsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.link.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the `line` around each
-                    `link`.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the `line` around
-                    each `link`.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.link.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # source
-    # ------
-    @property
-    def source(self):
-        """
-        An integer number `[0..nodes.length - 1]` that represents the
-        source node.
-    
-        The 'source' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["source"]
-
-    @source.setter
-    def source(self, val):
-        self["source"] = val
-
-    # sourcesrc
-    # ---------
-    @property
-    def sourcesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  source .
-    
-        The 'sourcesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sourcesrc"]
-
-    @sourcesrc.setter
-    def sourcesrc(self, val):
-        self["sourcesrc"] = val
-
-    # target
-    # ------
-    @property
-    def target(self):
-        """
-        An integer number `[0..nodes.length - 1]` that represents the
-        target node.
-    
-        The 'target' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["target"]
-
-    @target.setter
-    def target(self, val):
-        self["target"] = val
-
-    # targetsrc
-    # ---------
-    @property
-    def targetsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  target .
-    
-        The 'targetsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["targetsrc"]
-
-    @targetsrc.setter
-    def targetsrc(self, val):
-        self["targetsrc"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        A numeric value representing the flow volume value.
-    
-        The 'value' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valuesrc
-    # --------
-    @property
-    def valuesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  value .
-    
-        The 'valuesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuesrc"]
-
-    @valuesrc.setter
-    def valuesrc(self, val):
-        self["valuesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the `link` color. It can be a single value, or an
-            array for specifying color for each `link`. If
-            `link.color` is omitted, then by default, a translucent
-            grey link will be used.
-        colorscales
-            A tuple of
-            :class:`plotly.graph_objects.sankey.link.Colorscale`
-            instances or dicts with compatible properties
-        colorscaledefaults
-            When used in a template (as
-            layout.template.data.sankey.link.colorscaledefaults),
-            sets the default property values to use for elements of
-            sankey.link.colorscales
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        customdata
-            Assigns extra data to each link.
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear when hovering
-            links. If `none` or `skip` are set, no information is
-            displayed upon hovering. But, if `none` is set, click
-            and hover events are still fired.
-        hoverlabel
-            :class:`plotly.graph_objects.sankey.link.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `value` and `label`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        label
-            The shown name of the link.
-        labelsrc
-            Sets the source reference on Chart Studio Cloud for
-            label .
-        line
-            :class:`plotly.graph_objects.sankey.link.Line` instance
-            or dict with compatible properties
-        source
-            An integer number `[0..nodes.length - 1]` that
-            represents the source node.
-        sourcesrc
-            Sets the source reference on Chart Studio Cloud for
-            source .
-        target
-            An integer number `[0..nodes.length - 1]` that
-            represents the target node.
-        targetsrc
-            Sets the source reference on Chart Studio Cloud for
-            target .
-        value
-            A numeric value representing the flow volume value.
-        valuesrc
-            Sets the source reference on Chart Studio Cloud for
-            value .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorscales=None,
-        colorscaledefaults=None,
-        colorsrc=None,
-        customdata=None,
-        customdatasrc=None,
-        hoverinfo=None,
-        hoverlabel=None,
-        hovertemplate=None,
-        hovertemplatesrc=None,
-        label=None,
-        labelsrc=None,
-        line=None,
-        source=None,
-        sourcesrc=None,
-        target=None,
-        targetsrc=None,
-        value=None,
-        valuesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Link object
-        
-        The links of the Sankey plot.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sankey.Link`
-        color
-            Sets the `link` color. It can be a single value, or an
-            array for specifying color for each `link`. If
-            `link.color` is omitted, then by default, a translucent
-            grey link will be used.
-        colorscales
-            A tuple of
-            :class:`plotly.graph_objects.sankey.link.Colorscale`
-            instances or dicts with compatible properties
-        colorscaledefaults
-            When used in a template (as
-            layout.template.data.sankey.link.colorscaledefaults),
-            sets the default property values to use for elements of
-            sankey.link.colorscales
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        customdata
-            Assigns extra data to each link.
-        customdatasrc
-            Sets the source reference on Chart Studio Cloud for
-            customdata .
-        hoverinfo
-            Determines which trace information appear when hovering
-            links. If `none` or `skip` are set, no information is
-            displayed upon hovering. But, if `none` is set, click
-            and hover events are still fired.
-        hoverlabel
-            :class:`plotly.graph_objects.sankey.link.Hoverlabel`
-            instance or dict with compatible properties
-        hovertemplate
-            Template string used for rendering the information that
-            appear on hover box. Note that this will override
-            `hoverinfo`. Variables are inserted using %{variable},
-            for example "y: %{y}". Numbers are formatted using
-            d3-format's syntax %{variable:d3-format}, for example
-            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format for
-            details on the formatting syntax. Dates are formatted
-            using d3-time-format's syntax %{variable|d3-time-
-            format}, for example "Day: %{2019-01-01|%A}".
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format for
-            details on the date formatting syntax. The variables
-            available in `hovertemplate` are the ones emitted as
-            event data described at this link
-            https://plotly.com/javascript/plotlyjs-events/#event-
-            data. Additionally, every attributes that can be
-            specified per-point (the ones that are `arrayOk: true`)
-            are available. variables `value` and `label`. Anything
-            contained in tag `<extra>` is displayed in the
-            secondary box, for example
-            "<extra>{fullData.name}</extra>". To hide the secondary
-            box completely, use an empty tag `<extra></extra>`.
-        hovertemplatesrc
-            Sets the source reference on Chart Studio Cloud for
-            hovertemplate .
-        label
-            The shown name of the link.
-        labelsrc
-            Sets the source reference on Chart Studio Cloud for
-            label .
-        line
-            :class:`plotly.graph_objects.sankey.link.Line` instance
-            or dict with compatible properties
-        source
-            An integer number `[0..nodes.length - 1]` that
-            represents the source node.
-        sourcesrc
-            Sets the source reference on Chart Studio Cloud for
-            source .
-        target
-            An integer number `[0..nodes.length - 1]` that
-            represents the target node.
-        targetsrc
-            Sets the source reference on Chart Studio Cloud for
-            target .
-        value
-            A numeric value representing the flow volume value.
-        valuesrc
-            Sets the source reference on Chart Studio Cloud for
-            value .
-
-        Returns
-        -------
-        Link
-        """
-        super(Link, self).__init__("link")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.Link 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.Link`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey import link as v_link
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_link.ColorValidator()
-        self._validators["colorscales"] = v_link.ColorscalesValidator()
-        self._validators["colorscaledefaults"] = v_link.ColorscaleValidator()
-        self._validators["colorsrc"] = v_link.ColorsrcValidator()
-        self._validators["customdata"] = v_link.CustomdataValidator()
-        self._validators["customdatasrc"] = v_link.CustomdatasrcValidator()
-        self._validators["hoverinfo"] = v_link.HoverinfoValidator()
-        self._validators["hoverlabel"] = v_link.HoverlabelValidator()
-        self._validators["hovertemplate"] = v_link.HovertemplateValidator()
-        self._validators["hovertemplatesrc"] = v_link.HovertemplatesrcValidator()
-        self._validators["label"] = v_link.LabelValidator()
-        self._validators["labelsrc"] = v_link.LabelsrcValidator()
-        self._validators["line"] = v_link.LineValidator()
-        self._validators["source"] = v_link.SourceValidator()
-        self._validators["sourcesrc"] = v_link.SourcesrcValidator()
-        self._validators["target"] = v_link.TargetValidator()
-        self._validators["targetsrc"] = v_link.TargetsrcValidator()
-        self._validators["value"] = v_link.ValueValidator()
-        self._validators["valuesrc"] = v_link.ValuesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorscales", None)
-        self["colorscales"] = colorscales if colorscales is not None else _v
-        _v = arg.pop("colorscaledefaults", None)
-        self["colorscaledefaults"] = (
-            colorscaledefaults if colorscaledefaults is not None else _v
-        )
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("customdata", None)
-        self["customdata"] = customdata if customdata is not None else _v
-        _v = arg.pop("customdatasrc", None)
-        self["customdatasrc"] = customdatasrc if customdatasrc is not None else _v
-        _v = arg.pop("hoverinfo", None)
-        self["hoverinfo"] = hoverinfo if hoverinfo is not None else _v
-        _v = arg.pop("hoverlabel", None)
-        self["hoverlabel"] = hoverlabel if hoverlabel is not None else _v
-        _v = arg.pop("hovertemplate", None)
-        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
-        _v = arg.pop("hovertemplatesrc", None)
-        self["hovertemplatesrc"] = (
-            hovertemplatesrc if hovertemplatesrc is not None else _v
-        )
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("labelsrc", None)
-        self["labelsrc"] = labelsrc if labelsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("source", None)
-        self["source"] = source if source is not None else _v
-        _v = arg.pop("sourcesrc", None)
-        self["sourcesrc"] = sourcesrc if sourcesrc is not None else _v
-        _v = arg.pop("target", None)
-        self["target"] = target if target is not None else _v
-        _v = arg.pop("targetsrc", None)
-        self["targetsrc"] = targetsrc if targetsrc is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valuesrc", None)
-        self["valuesrc"] = valuesrc if valuesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this sankey trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this sankey trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this sankey trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this sankey trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this sankey trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this sankey trace .
-        x
-            Sets the horizontal domain of this sankey trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this sankey trace (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sankey.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this sankey trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this sankey trace .
-        x
-            Sets the horizontal domain of this sankey trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this sankey trace (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Domain",
-    "Hoverlabel",
-    "Link",
-    "Node",
-    "Stream",
-    "Textfont",
-    "hoverlabel",
-    "link",
-    "node",
-]
-
-from plotly.graph_objs.sankey import node
-from plotly.graph_objs.sankey import link
-from plotly.graph_objs.sankey import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._node import Node
+    from ._link import Link
+    from ._hoverlabel import Hoverlabel
+    from ._domain import Domain
+    from . import node
+    from . import link
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".node", ".link", ".hoverlabel"],
+        [
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._node.Node",
+            "._link.Link",
+            "._hoverlabel.Hoverlabel",
+            "._domain.Domain",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/_domain.py b/packages/python/plotly/plotly/graph_objs/sankey/_domain.py
new file mode 100644
index 00000000000..4215b50eb8f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/_domain.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey"
+    _path_str = "sankey.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this sankey trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this sankey trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this sankey trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this sankey trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this sankey trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this sankey trace .
+        x
+            Sets the horizontal domain of this sankey trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this sankey trace (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sankey.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this sankey trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this sankey trace .
+        x
+            Sets the horizontal domain of this sankey trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this sankey trace (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/sankey/_hoverlabel.py
new file mode 100644
index 00000000000..96c1b2db7ba
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey"
+    _path_str = "sankey.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/_link.py b/packages/python/plotly/plotly/graph_objs/sankey/_link.py
new file mode 100644
index 00000000000..1f17480a50b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/_link.py
@@ -0,0 +1,914 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Link(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey"
+    _path_str = "sankey.link"
+    _valid_props = {
+        "color",
+        "colorscaledefaults",
+        "colorscales",
+        "colorsrc",
+        "customdata",
+        "customdatasrc",
+        "hoverinfo",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "label",
+        "labelsrc",
+        "line",
+        "source",
+        "sourcesrc",
+        "target",
+        "targetsrc",
+        "value",
+        "valuesrc",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the `link` color. It can be a single value, or an array
+        for specifying color for each `link`. If `link.color` is
+        omitted, then by default, a translucent grey link will be used.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorscales
+    # -----------
+    @property
+    def colorscales(self):
+        """
+        The 'colorscales' property is a tuple of instances of
+        Colorscale that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.sankey.link.Colorscale
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Colorscale constructor
+    
+            Supported dict properties:
+                
+                cmax
+                    Sets the upper bound of the color domain.
+                cmin
+                    Sets the lower bound of the color domain.
+                colorscale
+                    Sets the colorscale. The colorscale must be an
+                    array containing arrays mapping a normalized
+                    value to an rgb, rgba, hex, hsl, hsv, or named
+                    color string. At minimum, a mapping for the
+                    lowest (0) and highest (1) values are required.
+                    For example, `[[0, 'rgb(0,0,255)'], [1,
+                    'rgb(255,0,0)']]`. To control the bounds of the
+                    colorscale in color space, use`cmin` and
+                    `cmax`. Alternatively, `colorscale` may be a
+                    palette name string of the following list: Grey
+                    s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                    Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                    ,Electric,Viridis,Cividis.
+                label
+                    The label of the links to color based on their
+                    concentration within a flow.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.sankey.link.Colorscale]
+        """
+        return self["colorscales"]
+
+    @colorscales.setter
+    def colorscales(self, val):
+        self["colorscales"] = val
+
+    # colorscaledefaults
+    # ------------------
+    @property
+    def colorscaledefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.sankey.link.colorscaledefaults), sets the
+        default property values to use for elements of
+        sankey.link.colorscales
+    
+        The 'colorscaledefaults' property is an instance of Colorscale
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.link.Colorscale`
+          - A dict of string/value properties that will be passed
+            to the Colorscale constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.link.Colorscale
+        """
+        return self["colorscaledefaults"]
+
+    @colorscaledefaults.setter
+    def colorscaledefaults(self, val):
+        self["colorscaledefaults"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data to each link.
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear when hovering links.
+        If `none` or `skip` are set, no information is displayed upon
+        hovering. But, if `none` is set, click and hover events are
+        still fired.
+    
+        The 'hoverinfo' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'none', 'skip']
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.link.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.link.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `value` and `label`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        The shown name of the link.
+    
+        The 'label' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # labelsrc
+    # --------
+    @property
+    def labelsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  label .
+    
+        The 'labelsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["labelsrc"]
+
+    @labelsrc.setter
+    def labelsrc(self, val):
+        self["labelsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.link.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the `line` around each
+                    `link`.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the `line` around
+                    each `link`.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.link.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # source
+    # ------
+    @property
+    def source(self):
+        """
+        An integer number `[0..nodes.length - 1]` that represents the
+        source node.
+    
+        The 'source' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["source"]
+
+    @source.setter
+    def source(self, val):
+        self["source"] = val
+
+    # sourcesrc
+    # ---------
+    @property
+    def sourcesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  source .
+    
+        The 'sourcesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sourcesrc"]
+
+    @sourcesrc.setter
+    def sourcesrc(self, val):
+        self["sourcesrc"] = val
+
+    # target
+    # ------
+    @property
+    def target(self):
+        """
+        An integer number `[0..nodes.length - 1]` that represents the
+        target node.
+    
+        The 'target' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["target"]
+
+    @target.setter
+    def target(self, val):
+        self["target"] = val
+
+    # targetsrc
+    # ---------
+    @property
+    def targetsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  target .
+    
+        The 'targetsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["targetsrc"]
+
+    @targetsrc.setter
+    def targetsrc(self, val):
+        self["targetsrc"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        A numeric value representing the flow volume value.
+    
+        The 'value' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valuesrc
+    # --------
+    @property
+    def valuesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  value .
+    
+        The 'valuesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuesrc"]
+
+    @valuesrc.setter
+    def valuesrc(self, val):
+        self["valuesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the `link` color. It can be a single value, or an
+            array for specifying color for each `link`. If
+            `link.color` is omitted, then by default, a translucent
+            grey link will be used.
+        colorscales
+            A tuple of
+            :class:`plotly.graph_objects.sankey.link.Colorscale`
+            instances or dicts with compatible properties
+        colorscaledefaults
+            When used in a template (as
+            layout.template.data.sankey.link.colorscaledefaults),
+            sets the default property values to use for elements of
+            sankey.link.colorscales
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        customdata
+            Assigns extra data to each link.
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear when hovering
+            links. If `none` or `skip` are set, no information is
+            displayed upon hovering. But, if `none` is set, click
+            and hover events are still fired.
+        hoverlabel
+            :class:`plotly.graph_objects.sankey.link.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `value` and `label`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        label
+            The shown name of the link.
+        labelsrc
+            Sets the source reference on Chart Studio Cloud for
+            label .
+        line
+            :class:`plotly.graph_objects.sankey.link.Line` instance
+            or dict with compatible properties
+        source
+            An integer number `[0..nodes.length - 1]` that
+            represents the source node.
+        sourcesrc
+            Sets the source reference on Chart Studio Cloud for
+            source .
+        target
+            An integer number `[0..nodes.length - 1]` that
+            represents the target node.
+        targetsrc
+            Sets the source reference on Chart Studio Cloud for
+            target .
+        value
+            A numeric value representing the flow volume value.
+        valuesrc
+            Sets the source reference on Chart Studio Cloud for
+            value .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorscales=None,
+        colorscaledefaults=None,
+        colorsrc=None,
+        customdata=None,
+        customdatasrc=None,
+        hoverinfo=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        label=None,
+        labelsrc=None,
+        line=None,
+        source=None,
+        sourcesrc=None,
+        target=None,
+        targetsrc=None,
+        value=None,
+        valuesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Link object
+        
+        The links of the Sankey plot.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sankey.Link`
+        color
+            Sets the `link` color. It can be a single value, or an
+            array for specifying color for each `link`. If
+            `link.color` is omitted, then by default, a translucent
+            grey link will be used.
+        colorscales
+            A tuple of
+            :class:`plotly.graph_objects.sankey.link.Colorscale`
+            instances or dicts with compatible properties
+        colorscaledefaults
+            When used in a template (as
+            layout.template.data.sankey.link.colorscaledefaults),
+            sets the default property values to use for elements of
+            sankey.link.colorscales
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        customdata
+            Assigns extra data to each link.
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        hoverinfo
+            Determines which trace information appear when hovering
+            links. If `none` or `skip` are set, no information is
+            displayed upon hovering. But, if `none` is set, click
+            and hover events are still fired.
+        hoverlabel
+            :class:`plotly.graph_objects.sankey.link.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `value` and `label`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        label
+            The shown name of the link.
+        labelsrc
+            Sets the source reference on Chart Studio Cloud for
+            label .
+        line
+            :class:`plotly.graph_objects.sankey.link.Line` instance
+            or dict with compatible properties
+        source
+            An integer number `[0..nodes.length - 1]` that
+            represents the source node.
+        sourcesrc
+            Sets the source reference on Chart Studio Cloud for
+            source .
+        target
+            An integer number `[0..nodes.length - 1]` that
+            represents the target node.
+        targetsrc
+            Sets the source reference on Chart Studio Cloud for
+            target .
+        value
+            A numeric value representing the flow volume value.
+        valuesrc
+            Sets the source reference on Chart Studio Cloud for
+            value .
+
+        Returns
+        -------
+        Link
+        """
+        super(Link, self).__init__("link")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.Link 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.Link`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorscales", None)
+        _v = colorscales if colorscales is not None else _v
+        if _v is not None:
+            self["colorscales"] = _v
+        _v = arg.pop("colorscaledefaults", None)
+        _v = colorscaledefaults if colorscaledefaults is not None else _v
+        if _v is not None:
+            self["colorscaledefaults"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("labelsrc", None)
+        _v = labelsrc if labelsrc is not None else _v
+        if _v is not None:
+            self["labelsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("source", None)
+        _v = source if source is not None else _v
+        if _v is not None:
+            self["source"] = _v
+        _v = arg.pop("sourcesrc", None)
+        _v = sourcesrc if sourcesrc is not None else _v
+        if _v is not None:
+            self["sourcesrc"] = _v
+        _v = arg.pop("target", None)
+        _v = target if target is not None else _v
+        if _v is not None:
+            self["target"] = _v
+        _v = arg.pop("targetsrc", None)
+        _v = targetsrc if targetsrc is not None else _v
+        if _v is not None:
+            self["targetsrc"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valuesrc", None)
+        _v = valuesrc if valuesrc is not None else _v
+        if _v is not None:
+            self["valuesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/_node.py b/packages/python/plotly/plotly/graph_objs/sankey/_node.py
new file mode 100644
index 00000000000..4154435c693
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/_node.py
@@ -0,0 +1,827 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Node(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey"
+    _path_str = "sankey.node"
+    _valid_props = {
+        "color",
+        "colorsrc",
+        "customdata",
+        "customdatasrc",
+        "groups",
+        "hoverinfo",
+        "hoverlabel",
+        "hovertemplate",
+        "hovertemplatesrc",
+        "label",
+        "labelsrc",
+        "line",
+        "pad",
+        "thickness",
+        "x",
+        "xsrc",
+        "y",
+        "ysrc",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the `node` color. It can be a single value, or an array
+        for specifying color for each `node`. If `node.color` is
+        omitted, then the default `Plotly` color palette will be cycled
+        through to have a variety of colors. These defaults are not
+        fully opaque, to allow some visibility of what is beneath the
+        node.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # customdata
+    # ----------
+    @property
+    def customdata(self):
+        """
+        Assigns extra data to each node.
+    
+        The 'customdata' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["customdata"]
+
+    @customdata.setter
+    def customdata(self, val):
+        self["customdata"] = val
+
+    # customdatasrc
+    # -------------
+    @property
+    def customdatasrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  customdata
+        .
+    
+        The 'customdatasrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["customdatasrc"]
+
+    @customdatasrc.setter
+    def customdatasrc(self, val):
+        self["customdatasrc"] = val
+
+    # groups
+    # ------
+    @property
+    def groups(self):
+        """
+        Groups of nodes. Each group is defined by an array with the
+        indices of the nodes it contains. Multiple groups can be
+        specified.
+    
+        The 'groups' property is an info array that may be specified as:
+        * a 2D list where:
+          The 'groups[i][j]' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        list
+        """
+        return self["groups"]
+
+    @groups.setter
+    def groups(self, val):
+        self["groups"] = val
+
+    # hoverinfo
+    # ---------
+    @property
+    def hoverinfo(self):
+        """
+        Determines which trace information appear when hovering nodes.
+        If `none` or `skip` are set, no information is displayed upon
+        hovering. But, if `none` is set, click and hover events are
+        still fired.
+    
+        The 'hoverinfo' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'none', 'skip']
+
+        Returns
+        -------
+        Any
+        """
+        return self["hoverinfo"]
+
+    @hoverinfo.setter
+    def hoverinfo(self, val):
+        self["hoverinfo"] = val
+
+    # hoverlabel
+    # ----------
+    @property
+    def hoverlabel(self):
+        """
+        The 'hoverlabel' property is an instance of Hoverlabel
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.node.Hoverlabel`
+          - A dict of string/value properties that will be passed
+            to the Hoverlabel constructor
+    
+            Supported dict properties:
+                
+                align
+                    Sets the horizontal alignment of the text
+                    content within hover label box. Has an effect
+                    only if the hover label text spans more two or
+                    more lines
+                alignsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  align .
+                bgcolor
+                    Sets the background color of the hover labels
+                    for this trace
+                bgcolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bgcolor .
+                bordercolor
+                    Sets the border color of the hover labels for
+                    this trace.
+                bordercolorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  bordercolor .
+                font
+                    Sets the font used in hover labels.
+                namelength
+                    Sets the default length (in number of
+                    characters) of the trace name in the hover
+                    labels for all traces. -1 shows the whole name
+                    regardless of length. 0-3 shows the first 0-3
+                    characters, and an integer >3 will show the
+                    whole name if it is less than that many
+                    characters, but if it is longer, will truncate
+                    to `namelength - 3` characters and add an
+                    ellipsis.
+                namelengthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  namelength .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.node.Hoverlabel
+        """
+        return self["hoverlabel"]
+
+    @hoverlabel.setter
+    def hoverlabel(self, val):
+        self["hoverlabel"] = val
+
+    # hovertemplate
+    # -------------
+    @property
+    def hovertemplate(self):
+        """
+        Template string used for rendering the information that appear
+        on hover box. Note that this will override `hoverinfo`.
+        Variables are inserted using %{variable}, for example "y:
+        %{y}". Numbers are formatted using d3-format's syntax
+        %{variable:d3-format}, for example "Price: %{y:$.2f}".
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format for details on
+        the formatting syntax. Dates are formatted using d3-time-
+        format's syntax %{variable|d3-time-format}, for example "Day:
+        %{2019-01-01|%A}". https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format for details on
+        the date formatting syntax. The variables available in
+        `hovertemplate` are the ones emitted as event data described at
+        this link https://plotly.com/javascript/plotlyjs-events/#event-
+        data. Additionally, every attributes that can be specified per-
+        point (the ones that are `arrayOk: true`) are available.
+        variables `value` and `label`. Anything contained in tag
+        `<extra>` is displayed in the secondary box, for example
+        "<extra>{fullData.name}</extra>". To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
+    
+        The 'hovertemplate' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["hovertemplate"]
+
+    @hovertemplate.setter
+    def hovertemplate(self, val):
+        self["hovertemplate"] = val
+
+    # hovertemplatesrc
+    # ----------------
+    @property
+    def hovertemplatesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        hovertemplate .
+    
+        The 'hovertemplatesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["hovertemplatesrc"]
+
+    @hovertemplatesrc.setter
+    def hovertemplatesrc(self, val):
+        self["hovertemplatesrc"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        The shown name of the node.
+    
+        The 'label' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # labelsrc
+    # --------
+    @property
+    def labelsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  label .
+    
+        The 'labelsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["labelsrc"]
+
+    @labelsrc.setter
+    def labelsrc(self, val):
+        self["labelsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.node.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the `line` around each
+                    `node`.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the `line` around
+                    each `node`.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.node.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        Sets the padding (in px) between the `nodes`.
+    
+        The 'pad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the `nodes`.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The normalized horizontal position of the node.
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The normalized vertical position of the node.
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the `node` color. It can be a single value, or an
+            array for specifying color for each `node`. If
+            `node.color` is omitted, then the default `Plotly`
+            color palette will be cycled through to have a variety
+            of colors. These defaults are not fully opaque, to
+            allow some visibility of what is beneath the node.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        customdata
+            Assigns extra data to each node.
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        groups
+            Groups of nodes. Each group is defined by an array with
+            the indices of the nodes it contains. Multiple groups
+            can be specified.
+        hoverinfo
+            Determines which trace information appear when hovering
+            nodes. If `none` or `skip` are set, no information is
+            displayed upon hovering. But, if `none` is set, click
+            and hover events are still fired.
+        hoverlabel
+            :class:`plotly.graph_objects.sankey.node.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `value` and `label`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        label
+            The shown name of the node.
+        labelsrc
+            Sets the source reference on Chart Studio Cloud for
+            label .
+        line
+            :class:`plotly.graph_objects.sankey.node.Line` instance
+            or dict with compatible properties
+        pad
+            Sets the padding (in px) between the `nodes`.
+        thickness
+            Sets the thickness (in px) of the `nodes`.
+        x
+            The normalized horizontal position of the node.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            The normalized vertical position of the node.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        customdata=None,
+        customdatasrc=None,
+        groups=None,
+        hoverinfo=None,
+        hoverlabel=None,
+        hovertemplate=None,
+        hovertemplatesrc=None,
+        label=None,
+        labelsrc=None,
+        line=None,
+        pad=None,
+        thickness=None,
+        x=None,
+        xsrc=None,
+        y=None,
+        ysrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Node object
+        
+        The nodes of the Sankey plot.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sankey.Node`
+        color
+            Sets the `node` color. It can be a single value, or an
+            array for specifying color for each `node`. If
+            `node.color` is omitted, then the default `Plotly`
+            color palette will be cycled through to have a variety
+            of colors. These defaults are not fully opaque, to
+            allow some visibility of what is beneath the node.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        customdata
+            Assigns extra data to each node.
+        customdatasrc
+            Sets the source reference on Chart Studio Cloud for
+            customdata .
+        groups
+            Groups of nodes. Each group is defined by an array with
+            the indices of the nodes it contains. Multiple groups
+            can be specified.
+        hoverinfo
+            Determines which trace information appear when hovering
+            nodes. If `none` or `skip` are set, no information is
+            displayed upon hovering. But, if `none` is set, click
+            and hover events are still fired.
+        hoverlabel
+            :class:`plotly.graph_objects.sankey.node.Hoverlabel`
+            instance or dict with compatible properties
+        hovertemplate
+            Template string used for rendering the information that
+            appear on hover box. Note that this will override
+            `hoverinfo`. Variables are inserted using %{variable},
+            for example "y: %{y}". Numbers are formatted using
+            d3-format's syntax %{variable:d3-format}, for example
+            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format for
+            details on the formatting syntax. Dates are formatted
+            using d3-time-format's syntax %{variable|d3-time-
+            format}, for example "Day: %{2019-01-01|%A}".
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format for
+            details on the date formatting syntax. The variables
+            available in `hovertemplate` are the ones emitted as
+            event data described at this link
+            https://plotly.com/javascript/plotlyjs-events/#event-
+            data. Additionally, every attributes that can be
+            specified per-point (the ones that are `arrayOk: true`)
+            are available. variables `value` and `label`. Anything
+            contained in tag `<extra>` is displayed in the
+            secondary box, for example
+            "<extra>{fullData.name}</extra>". To hide the secondary
+            box completely, use an empty tag `<extra></extra>`.
+        hovertemplatesrc
+            Sets the source reference on Chart Studio Cloud for
+            hovertemplate .
+        label
+            The shown name of the node.
+        labelsrc
+            Sets the source reference on Chart Studio Cloud for
+            label .
+        line
+            :class:`plotly.graph_objects.sankey.node.Line` instance
+            or dict with compatible properties
+        pad
+            Sets the padding (in px) between the `nodes`.
+        thickness
+            Sets the thickness (in px) of the `nodes`.
+        x
+            The normalized horizontal position of the node.
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            The normalized vertical position of the node.
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+
+        Returns
+        -------
+        Node
+        """
+        super(Node, self).__init__("node")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.Node 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.Node`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("customdata", None)
+        _v = customdata if customdata is not None else _v
+        if _v is not None:
+            self["customdata"] = _v
+        _v = arg.pop("customdatasrc", None)
+        _v = customdatasrc if customdatasrc is not None else _v
+        if _v is not None:
+            self["customdatasrc"] = _v
+        _v = arg.pop("groups", None)
+        _v = groups if groups is not None else _v
+        if _v is not None:
+            self["groups"] = _v
+        _v = arg.pop("hoverinfo", None)
+        _v = hoverinfo if hoverinfo is not None else _v
+        if _v is not None:
+            self["hoverinfo"] = _v
+        _v = arg.pop("hoverlabel", None)
+        _v = hoverlabel if hoverlabel is not None else _v
+        if _v is not None:
+            self["hoverlabel"] = _v
+        _v = arg.pop("hovertemplate", None)
+        _v = hovertemplate if hovertemplate is not None else _v
+        if _v is not None:
+            self["hovertemplate"] = _v
+        _v = arg.pop("hovertemplatesrc", None)
+        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
+        if _v is not None:
+            self["hovertemplatesrc"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("labelsrc", None)
+        _v = labelsrc if labelsrc is not None else _v
+        if _v is not None:
+            self["labelsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/_stream.py b/packages/python/plotly/plotly/graph_objs/sankey/_stream.py
new file mode 100644
index 00000000000..322d8c50ffb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey"
+    _path_str = "sankey.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sankey.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/_textfont.py b/packages/python/plotly/plotly/graph_objs/sankey/_textfont.py
new file mode 100644
index 00000000000..f6a55a11f2a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/_textfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey"
+    _path_str = "sankey.textfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Sets the font for node labels
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.Textfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/__init__.py
index 344956bb259..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/_font.py
new file mode 100644
index 00000000000..c79b67a2f19
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.hoverlabel"
+    _path_str = "sankey.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/link/__init__.py b/packages/python/plotly/plotly/graph_objs/sankey/link/__init__.py
index 3702aa3950b..cd3fe4f180a 100644
--- a/packages/python/plotly/plotly/graph_objs/sankey/link/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sankey/link/__init__.py
@@ -1,1073 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the `line` around each `link`.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the `line` around each `link`.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.link"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the `line` around each `link`.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the `line` around each
-            `link`.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.link.Line`
-        color
-            Sets the color of the `line` around each `link`.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the `line` around each
-            `link`.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.link.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.link.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.link import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.link.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.link.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.link"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.link.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.link.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.link.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.link import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Colorscale(_BaseTraceHierarchyType):
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`cmin` and `cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        The label of the links to color based on their concentration
-        within a flow.
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.link"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        cmax
-            Sets the upper bound of the color domain.
-        cmin
-            Sets the lower bound of the color domain.
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        label
-            The label of the links to color based on their
-            concentration within a flow.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        cmax=None,
-        cmin=None,
-        colorscale=None,
-        label=None,
-        name=None,
-        templateitemname=None,
-        **kwargs
-    ):
-        """
-        Construct a new Colorscale object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.link.Colorscale`
-        cmax
-            Sets the upper bound of the color domain.
-        cmin
-            Sets the lower bound of the color domain.
-        colorscale
-            Sets the colorscale. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`cmin` and `cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        label
-            The label of the links to color based on their
-            concentration within a flow.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-
-        Returns
-        -------
-        Colorscale
-        """
-        super(Colorscale, self).__init__("colorscales")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.link.Colorscale 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.link.Colorscale`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.link import colorscale as v_colorscale
-
-        # Initialize validators
-        # ---------------------
-        self._validators["cmax"] = v_colorscale.CmaxValidator()
-        self._validators["cmin"] = v_colorscale.CminValidator()
-        self._validators["colorscale"] = v_colorscale.ColorscaleValidator()
-        self._validators["label"] = v_colorscale.LabelValidator()
-        self._validators["name"] = v_colorscale.NameValidator()
-        self._validators["templateitemname"] = v_colorscale.TemplateitemnameValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Colorscale", "Colorscale", "Hoverlabel", "Line", "hoverlabel"]
-
-from plotly.graph_objs.sankey.link import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._colorscale import Colorscale
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel"],
+        ["._line.Line", "._hoverlabel.Hoverlabel", "._colorscale.Colorscale"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/link/_colorscale.py b/packages/python/plotly/plotly/graph_objs/sankey/link/_colorscale.py
new file mode 100644
index 00000000000..911d79a1779
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/link/_colorscale.py
@@ -0,0 +1,349 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Colorscale(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.link"
+    _path_str = "sankey.link.colorscale"
+    _valid_props = {"cmax", "cmin", "colorscale", "label", "name", "templateitemname"}
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`cmin` and `cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        The label of the links to color based on their concentration
+        within a flow.
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        cmax
+            Sets the upper bound of the color domain.
+        cmin
+            Sets the lower bound of the color domain.
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        label
+            The label of the links to color based on their
+            concentration within a flow.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        cmax=None,
+        cmin=None,
+        colorscale=None,
+        label=None,
+        name=None,
+        templateitemname=None,
+        **kwargs
+    ):
+        """
+        Construct a new Colorscale object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.link.Colorscale`
+        cmax
+            Sets the upper bound of the color domain.
+        cmin
+            Sets the lower bound of the color domain.
+        colorscale
+            Sets the colorscale. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`cmin` and `cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        label
+            The label of the links to color based on their
+            concentration within a flow.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+
+        Returns
+        -------
+        Colorscale
+        """
+        super(Colorscale, self).__init__("colorscales")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.link.Colorscale 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.link.Colorscale`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/link/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/sankey/link/_hoverlabel.py
new file mode 100644
index 00000000000..a9f2ea5be92
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/link/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.link"
+    _path_str = "sankey.link.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.link.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.link.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.link.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.link.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.link.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/link/_line.py b/packages/python/plotly/plotly/graph_objs/sankey/link/_line.py
new file mode 100644
index 00000000000..85c6545866e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/link/_line.py
@@ -0,0 +1,231 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.link"
+    _path_str = "sankey.link.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the `line` around each `link`.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the `line` around each `link`.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the `line` around each `link`.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the `line` around each
+            `link`.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.link.Line`
+        color
+            Sets the color of the `line` around each `link`.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the `line` around each
+            `link`.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.link.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.link.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/__init__.py
index 8d7c7fdc2bb..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.link.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.link.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.link.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.link.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.link.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/_font.py
new file mode 100644
index 00000000000..573d02b96e9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/link/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.link.hoverlabel"
+    _path_str = "sankey.link.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.link.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.link.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.link.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/node/__init__.py b/packages/python/plotly/plotly/graph_objs/sankey/node/__init__.py
index 48a7489daba..0bb4075bebb 100644
--- a/packages/python/plotly/plotly/graph_objs/sankey/node/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sankey/node/__init__.py
@@ -1,723 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the `line` around each `node`.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the `line` around each `node`.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.node"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the `line` around each `node`.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the `line` around each
-            `node`.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.node.Line`
-        color
-            Sets the color of the `line` around each `node`.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the `line` around each
-            `node`.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.node.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.node.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.node import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sankey.node.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sankey.node.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.node"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.node.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.node.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.node.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.node import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Hoverlabel", "Line", "hoverlabel"]
-
-from plotly.graph_objs.sankey.node import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".hoverlabel"], ["._line.Line", "._hoverlabel.Hoverlabel"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/node/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/sankey/node/_hoverlabel.py
new file mode 100644
index 00000000000..fe15043696a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/node/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.node"
+    _path_str = "sankey.node.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sankey.node.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sankey.node.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.node.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.node.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.node.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/node/_line.py b/packages/python/plotly/plotly/graph_objs/sankey/node/_line.py
new file mode 100644
index 00000000000..c6d284f2c89
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/node/_line.py
@@ -0,0 +1,231 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.node"
+    _path_str = "sankey.node.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the `line` around each `node`.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the `line` around each `node`.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the `line` around each `node`.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the `line` around each
+            `node`.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.node.Line`
+        color
+            Sets the color of the `line` around each `node`.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the `line` around each
+            `node`.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.node.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.node.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/__init__.py
index f216b8863b1..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sankey.node.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sankey.node.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sankey.node.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sankey.node.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sankey.node.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/_font.py
new file mode 100644
index 00000000000..2b8dc67655f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sankey/node/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sankey.node.hoverlabel"
+    _path_str = "sankey.node.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sankey.node.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sankey.node.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sankey.node.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/__init__.py
index 87d57327189..c833d06cf97 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/__init__.py
@@ -1,4180 +1,34 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatter.unselected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatter.unselected.Textfon
-            t` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.Unselected`
-        marker
-            :class:`plotly.graph_objects.scatter.unselected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatter.unselected.Textfon
-            t` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatter.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatter.selected.Textfont`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.Selected`
-        marker
-            :class:`plotly.graph_objects.scatter.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatter.selected.Textfont`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatter.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    .marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scatter.marker.colorbar.tickformatstopdefault
-                    s), sets the default property values to use for
-                    elements of
-                    scatter.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scatter.marker.col
-                    orbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    scatter.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scatter.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # gradient
-    # --------
-    @property
-    def gradient(self):
-        """
-        The 'gradient' property is an instance of Gradient
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.Gradient`
-          - A dict of string/value properties that will be passed
-            to the Gradient constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the final color of the gradient fill: the
-                    center color for radial, the right for
-                    horizontal, or the bottom for vertical.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                type
-                    Sets the type of gradient used to fill the
-                    markers
-                typesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  type .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.Gradient
-        """
-        return self["gradient"]
-
-    @gradient.setter
-    def gradient(self, val):
-        self["gradient"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # maxdisplayed
-    # ------------
-    @property
-    def maxdisplayed(self):
-        """
-        Sets a maximum number of points to be drawn on the graph. 0
-        corresponds to no limit.
-    
-        The 'maxdisplayed' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxdisplayed"]
-
-    @maxdisplayed.setter
-    def maxdisplayed(self, val):
-        self["maxdisplayed"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatter.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scatter.marker.Gradient`
-            instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scatter.marker.Line`
-            instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        gradient=None,
-        line=None,
-        maxdisplayed=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatter.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scatter.marker.Gradient`
-            instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scatter.marker.Line`
-            instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["gradient"] = v_marker.GradientValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["maxdisplayed"] = v_marker.MaxdisplayedValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("gradient", None)
-        self["gradient"] = gradient if gradient is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("maxdisplayed", None)
-        self["maxdisplayed"] = maxdisplayed if maxdisplayed is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Determines the line shape. With "spline" the lines are drawn
-        using spline interpolation. The other available values
-        correspond to step-wise line shapes.
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'spline', 'hv', 'vh', 'hvh', 'vhv']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # simplify
-    # --------
-    @property
-    def simplify(self):
-        """
-        Simplifies lines by removing nearly-collinear points. When
-        transitioning lines, it may be desirable to disable this so
-        that the number of points along the resulting SVG path is
-        unaffected.
-    
-        The 'simplify' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["simplify"]
-
-    @simplify.setter
-    def simplify(self, val):
-        self["simplify"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Has an effect only if `shape` is set to "spline" Sets the
-        amount of smoothing. 0 corresponds to no smoothing (equivalent
-        to a "linear" shape).
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        simplify
-            Simplifies lines by removing nearly-collinear points.
-            When transitioning lines, it may be desirable to
-            disable this so that the number of points along the
-            resulting SVG path is unaffected.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dash=None,
-        shape=None,
-        simplify=None,
-        smoothing=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        simplify
-            Simplifies lines by removing nearly-collinear points.
-            When transitioning lines, it may be desirable to
-            disable this so that the number of points along the
-            resulting SVG path is unaffected.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["simplify"] = v_line.SimplifyValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("simplify", None)
-        self["simplify"] = simplify if simplify is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorY(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorY object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.ErrorY`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorY
-        """
-        super(ErrorY, self).__init__("error_y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.ErrorY 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.ErrorY`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import error_y as v_error_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_y.ArrayValidator()
-        self._validators["arrayminus"] = v_error_y.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_y.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_y.ArraysrcValidator()
-        self._validators["color"] = v_error_y.ColorValidator()
-        self._validators["symmetric"] = v_error_y.SymmetricValidator()
-        self._validators["thickness"] = v_error_y.ThicknessValidator()
-        self._validators["traceref"] = v_error_y.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_y.TracerefminusValidator()
-        self._validators["type"] = v_error_y.TypeValidator()
-        self._validators["value"] = v_error_y.ValueValidator()
-        self._validators["valueminus"] = v_error_y.ValueminusValidator()
-        self._validators["visible"] = v_error_y.VisibleValidator()
-        self._validators["width"] = v_error_y.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorX(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # copy_ystyle
-    # -----------
-    @property
-    def copy_ystyle(self):
-        """
-        The 'copy_ystyle' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["copy_ystyle"]
-
-    @copy_ystyle.setter
-    def copy_ystyle(self, val):
-        self["copy_ystyle"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        copy_ystyle=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorX object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.ErrorX`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorX
-        """
-        super(ErrorX, self).__init__("error_x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.ErrorX 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.ErrorX`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter import error_x as v_error_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_x.ArrayValidator()
-        self._validators["arrayminus"] = v_error_x.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_x.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_x.ArraysrcValidator()
-        self._validators["color"] = v_error_x.ColorValidator()
-        self._validators["copy_ystyle"] = v_error_x.CopyYstyleValidator()
-        self._validators["symmetric"] = v_error_x.SymmetricValidator()
-        self._validators["thickness"] = v_error_x.ThicknessValidator()
-        self._validators["traceref"] = v_error_x.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_x.TracerefminusValidator()
-        self._validators["type"] = v_error_x.TypeValidator()
-        self._validators["value"] = v_error_x.ValueValidator()
-        self._validators["valueminus"] = v_error_x.ValueminusValidator()
-        self._validators["visible"] = v_error_x.VisibleValidator()
-        self._validators["width"] = v_error_x.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("copy_ystyle", None)
-        self["copy_ystyle"] = copy_ystyle if copy_ystyle is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ErrorX",
-    "ErrorY",
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scatter import unselected
-from plotly.graph_objs.scatter import selected
-from plotly.graph_objs.scatter import marker
-from plotly.graph_objs.scatter import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._error_y import ErrorY
+    from ._error_x import ErrorX
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+            "._error_y.ErrorY",
+            "._error_x.ErrorX",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_error_x.py b/packages/python/plotly/plotly/graph_objs/scatter/_error_x.py
new file mode 100644
index 00000000000..e7378f84afc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_error_x.py
@@ -0,0 +1,629 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorX(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.error_x"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "copy_ystyle",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # copy_ystyle
+    # -----------
+    @property
+    def copy_ystyle(self):
+        """
+        The 'copy_ystyle' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["copy_ystyle"]
+
+    @copy_ystyle.setter
+    def copy_ystyle(self, val):
+        self["copy_ystyle"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        copy_ystyle=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorX object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.ErrorX`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorX
+        """
+        super(ErrorX, self).__init__("error_x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.ErrorX 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.ErrorX`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("copy_ystyle", None)
+        _v = copy_ystyle if copy_ystyle is not None else _v
+        if _v is not None:
+            self["copy_ystyle"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_error_y.py b/packages/python/plotly/plotly/graph_objs/scatter/_error_y.py
new file mode 100644
index 00000000000..375a920fbfa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_error_y.py
@@ -0,0 +1,601 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorY(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.error_y"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorY object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.ErrorY`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorY
+        """
+        super(ErrorY, self).__init__("error_y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.ErrorY 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.ErrorY`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scatter/_hoverlabel.py
new file mode 100644
index 00000000000..a38f6126e67
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_line.py b/packages/python/plotly/plotly/graph_objs/scatter/_line.py
new file mode 100644
index 00000000000..8de3b595c42
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_line.py
@@ -0,0 +1,320 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.line"
+    _valid_props = {"color", "dash", "shape", "simplify", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Determines the line shape. With "spline" the lines are drawn
+        using spline interpolation. The other available values
+        correspond to step-wise line shapes.
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'spline', 'hv', 'vh', 'hvh', 'vhv']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # simplify
+    # --------
+    @property
+    def simplify(self):
+        """
+        Simplifies lines by removing nearly-collinear points. When
+        transitioning lines, it may be desirable to disable this so
+        that the number of points along the resulting SVG path is
+        unaffected.
+    
+        The 'simplify' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["simplify"]
+
+    @simplify.setter
+    def simplify(self, val):
+        self["simplify"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Has an effect only if `shape` is set to "spline" Sets the
+        amount of smoothing. 0 corresponds to no smoothing (equivalent
+        to a "linear" shape).
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        simplify
+            Simplifies lines by removing nearly-collinear points.
+            When transitioning lines, it may be desirable to
+            disable this so that the number of points along the
+            resulting SVG path is unaffected.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dash=None,
+        shape=None,
+        simplify=None,
+        smoothing=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        simplify
+            Simplifies lines by removing nearly-collinear points.
+            When transitioning lines, it may be desirable to
+            disable this so that the number of points along the
+            resulting SVG path is unaffected.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("simplify", None)
+        _v = simplify if simplify is not None else _v
+        if _v is not None:
+            self["simplify"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_marker.py b/packages/python/plotly/plotly/graph_objs/scatter/_marker.py
new file mode 100644
index 00000000000..1d48a240cbe
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_marker.py
@@ -0,0 +1,1444 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "gradient",
+        "line",
+        "maxdisplayed",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatter.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    .marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scatter.marker.colorbar.tickformatstopdefault
+                    s), sets the default property values to use for
+                    elements of
+                    scatter.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scatter.marker.col
+                    orbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    scatter.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scatter.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # gradient
+    # --------
+    @property
+    def gradient(self):
+        """
+        The 'gradient' property is an instance of Gradient
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.Gradient`
+          - A dict of string/value properties that will be passed
+            to the Gradient constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the final color of the gradient fill: the
+                    center color for radial, the right for
+                    horizontal, or the bottom for vertical.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                type
+                    Sets the type of gradient used to fill the
+                    markers
+                typesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  type .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.Gradient
+        """
+        return self["gradient"]
+
+    @gradient.setter
+    def gradient(self, val):
+        self["gradient"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # maxdisplayed
+    # ------------
+    @property
+    def maxdisplayed(self):
+        """
+        Sets a maximum number of points to be drawn on the graph. 0
+        corresponds to no limit.
+    
+        The 'maxdisplayed' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxdisplayed"]
+
+    @maxdisplayed.setter
+    def maxdisplayed(self, val):
+        self["maxdisplayed"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatter.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scatter.marker.Gradient`
+            instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scatter.marker.Line`
+            instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        gradient=None,
+        line=None,
+        maxdisplayed=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatter.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scatter.marker.Gradient`
+            instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scatter.marker.Line`
+            instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("gradient", None)
+        _v = gradient if gradient is not None else _v
+        if _v is not None:
+            self["gradient"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("maxdisplayed", None)
+        _v = maxdisplayed if maxdisplayed is not None else _v
+        if _v is not None:
+            self["maxdisplayed"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_selected.py b/packages/python/plotly/plotly/graph_objs/scatter/_selected.py
new file mode 100644
index 00000000000..3b3a8834378
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatter.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatter.selected.Textfont`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.Selected`
+        marker
+            :class:`plotly.graph_objects.scatter.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatter.selected.Textfont`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_stream.py b/packages/python/plotly/plotly/graph_objs/scatter/_stream.py
new file mode 100644
index 00000000000..d6db07a42eb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatter/_textfont.py
new file mode 100644
index 00000000000..af2a878b3e3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/_unselected.py b/packages/python/plotly/plotly/graph_objs/scatter/_unselected.py
new file mode 100644
index 00000000000..d1286d19c9e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter"
+    _path_str = "scatter.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatter.unselected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatter.unselected.Textfon
+            t` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.Unselected`
+        marker
+            :class:`plotly.graph_objects.scatter.unselected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatter.unselected.Textfon
+            t` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/__init__.py
index fe823136eb2..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/_font.py
new file mode 100644
index 00000000000..85f21feb9f5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.hoverlabel"
+    _path_str = "scatter.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/__init__.py
index 6ebab20ab8d..6c5711d6c09 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/__init__.py
@@ -1,2744 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatter.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Gradient(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the final color of the gradient fill: the center color for
-        radial, the right for horizontal, or the bottom for vertical.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the type of gradient used to fill the markers
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radial', 'horizontal', 'vertical', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # typesrc
-    # -------
-    @property
-    def typesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  type .
-    
-        The 'typesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["typesrc"]
-
-    @typesrc.setter
-    def typesrc(self, val):
-        self["typesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
-    ):
-        """
-        Construct a new Gradient object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.marker.Gradient`
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-
-        Returns
-        -------
-        Gradient
-        """
-        super(Gradient, self).__init__("gradient")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.Gradient 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.Gradient`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker import gradient as v_gradient
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_gradient.ColorValidator()
-        self._validators["colorsrc"] = v_gradient.ColorsrcValidator()
-        self._validators["type"] = v_gradient.TypeValidator()
-        self._validators["typesrc"] = v_gradient.TypesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("typesrc", None)
-        self["typesrc"] = typesrc if typesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scatter.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scatter.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scatter.marker
-        .colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        scatter.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scatter.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scatter.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatter.marker.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            r.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scatter.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatter.marker.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatter.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scatter.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatter.marker.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            r.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scatter.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatter.marker.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatter.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scatter.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Gradient", "Line", "colorbar"]
-
-from plotly.graph_objs.scatter.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._gradient import Gradient
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".colorbar"],
+        ["._line.Line", "._gradient.Gradient", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/_colorbar.py
new file mode 100644
index 00000000000..dbd64a36229
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker"
+    _path_str = "scatter.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scatter.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scatter.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scatter.marker
+        .colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        scatter.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scatter.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scatter.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatter.marker.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            r.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scatter.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatter.marker.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatter.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scatter.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatter.marker.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            r.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scatter.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatter.marker.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatter.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scatter.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/_gradient.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/_gradient.py
new file mode 100644
index 00000000000..398176fedfd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/_gradient.py
@@ -0,0 +1,235 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Gradient(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker"
+    _path_str = "scatter.marker.gradient"
+    _valid_props = {"color", "colorsrc", "type", "typesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the final color of the gradient fill: the center color for
+        radial, the right for horizontal, or the bottom for vertical.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the type of gradient used to fill the markers
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radial', 'horizontal', 'vertical', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # typesrc
+    # -------
+    @property
+    def typesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  type .
+    
+        The 'typesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["typesrc"]
+
+    @typesrc.setter
+    def typesrc(self, val):
+        self["typesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
+    ):
+        """
+        Construct a new Gradient object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.marker.Gradient`
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+
+        Returns
+        -------
+        Gradient
+        """
+        super(Gradient, self).__init__("gradient")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.Gradient 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.Gradient`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("typesrc", None)
+        _v = typesrc if typesrc is not None else _v
+        if _v is not None:
+            self["typesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/_line.py
new file mode 100644
index 00000000000..183c867750a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker"
+    _path_str = "scatter.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatter.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/__init__.py
index 73c0afaabb7..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatter.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter.marker
-            .colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter.marker
-            .colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter.marker
-            .colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scatter.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..b094f077005
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker.colorbar"
+    _path_str = "scatter.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter.marker
+            .colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..b5cb82b9247
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker.colorbar"
+    _path_str = "scatter.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter.marker
+            .colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_title.py
new file mode 100644
index 00000000000..26ffceae85a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker.colorbar"
+    _path_str = "scatter.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatter.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter.marker
+            .colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/__init__.py
index 54d85881940..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter.marker
-            .colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..ff07681f725
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.marker.colorbar.title"
+    _path_str = "scatter.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter.marker
+            .colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/selected/__init__.py
index efeaf0ee29f..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatter/selected/_marker.py
new file mode 100644
index 00000000000..d08f342c64b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.selected"
+    _path_str = "scatter.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatter/selected/_textfont.py
new file mode 100644
index 00000000000..43c416b4b30
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.selected"
+    _path_str = "scatter.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter/unselected/__init__.py
index c9de8c025a0..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.unselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatter/unselected/_marker.py
new file mode 100644
index 00000000000..fb6a9110a8e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.unselected"
+    _path_str = "scatter.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatter/unselected/_textfont.py
new file mode 100644
index 00000000000..4967a839592
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter.unselected"
+    _path_str = "scatter.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter.unselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/__init__.py
index 832d5b74db2..eef0c408d91 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/__init__.py
@@ -1,5060 +1,34 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Projection(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is an instance of X
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.projection.X`
-          - A dict of string/value properties that will be passed
-            to the X constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the projection color.
-                scale
-                    Sets the scale factor determining the size of
-                    the projection marker points.
-                show
-                    Sets whether or not projections are shown along
-                    the x axis.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.projection.X
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is an instance of Y
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.projection.Y`
-          - A dict of string/value properties that will be passed
-            to the Y constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the projection color.
-                scale
-                    Sets the scale factor determining the size of
-                    the projection marker points.
-                show
-                    Sets whether or not projections are shown along
-                    the y axis.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.projection.Y
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is an instance of Z
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.projection.Z`
-          - A dict of string/value properties that will be passed
-            to the Z constructor
-    
-            Supported dict properties:
-                
-                opacity
-                    Sets the projection color.
-                scale
-                    Sets the scale factor determining the size of
-                    the projection marker points.
-                show
-                    Sets whether or not projections are shown along
-                    the z axis.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.projection.Z
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            :class:`plotly.graph_objects.scatter3d.projection.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.scatter3d.projection.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.scatter3d.projection.Z`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Projection object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.Projection`
-        x
-            :class:`plotly.graph_objects.scatter3d.projection.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.scatter3d.projection.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.scatter3d.projection.Z`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Projection
-        """
-        super(Projection, self).__init__("projection")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.Projection 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.Projection`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import projection as v_projection
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_projection.XValidator()
-        self._validators["y"] = v_projection.YValidator()
-        self._validators["z"] = v_projection.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatter3d.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    3d.marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scatter3d.marker.colorbar.tickformatstopdefau
-                    lts), sets the default property values to use
-                    for elements of
-                    scatter3d.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scatter3d.marker.c
-                    olorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    scatter3d.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scatter3d.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity. Note that the marker opacity for
-        scatter3d traces must be a scalar value for performance
-        reasons. To set a blending opacity value (i.e. which is not
-        transparent), set "marker.color" to an rgba color and use its
-        alpha channel.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['circle', 'circle-open', 'square', 'square-open',
-                'diamond', 'diamond-open', 'cross', 'x']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatter3d.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.scatter3d.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity. Note that the marker opacity
-            for scatter3d traces must be a scalar value for
-            performance reasons. To set a blending opacity value
-            (i.e. which is not transparent), set "marker.color" to
-            an rgba color and use its alpha channel.
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatter3d.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.scatter3d.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity. Note that the marker opacity
-            for scatter3d traces must be a scalar value for
-            performance reasons. To set a blending opacity value
-            (i.e. which is not transparent), set "marker.color" to
-            an rgba color and use its alpha channel.
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `line.colorscale`. Has an effect only if in `line.color`is set
-        to a numerical array. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `line.color`) or the bounds
-        set in `line.cmin` and `line.cmax`  Has an effect only if in
-        `line.color`is set to a numerical array. Defaults to `false`
-        when `line.cmin` and `line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `line.color`is set to a numerical array. Value should have
-        the same units as in `line.color` and if set, `line.cmin` must
-        be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `line.cmin`
-        and/or `line.cmax` to be equidistant to this point. Has an
-        effect only if in `line.color`is set to a numerical array.
-        Value should have the same units as in `line.color`. Has no
-        effect when `line.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `line.color`is set to a numerical array. Value should have
-        the same units as in `line.color` and if set, `line.cmax` must
-        be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets thelinecolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to `line.cmin`
-        and `line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatter3d.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.line.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    3d.line.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scatter3d.line.colorbar.tickformatstopdefault
-                    s), sets the default property values to use for
-                    elements of
-                    scatter3d.line.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scatter3d.line.col
-                    orbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    scatter3d.line.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scatter3d.line.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.line.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `line.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
-        be a palette name string of the following list: Greys,YlGnBu,Gr
-        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
-        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of the lines.
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-
-        Returns
-        -------
-        Any
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `line.color`is set to a numerical array. If true, `line.cmin`
-        will correspond to the last color in the array and `line.cmax`
-        will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `line.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `line.colorscale`. Has an effect only if in
-            `line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `line.color`)
-            or the bounds set in `line.cmin` and `line.cmax`  Has
-            an effect only if in `line.color`is set to a numerical
-            array. Defaults to `false` when `line.cmin` and
-            `line.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `line.cmin` and/or `line.cmax` to be equidistant to
-            this point. Has an effect only if in `line.color`is set
-            to a numerical array. Value should have the same units
-            as in `line.color`. Has no effect when `line.cauto` is
-            `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmax` must be set as well.
-        color
-            Sets thelinecolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `line.cmin` and `line.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatter3d.line.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `line.color`is set to a numerical array. The colorscale
-            must be an array containing arrays mapping a normalized
-            value to an rgb, rgba, hex, hsl, hsv, or named color
-            string. At minimum, a mapping for the lowest (0) and
-            highest (1) values are required. For example, `[[0,
-            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-            bounds of the colorscale in color space, use`line.cmin`
-            and `line.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        dash
-            Sets the dash style of the lines.
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `line.color`is set to a numerical array. If true,
-            `line.cmin` will correspond to the last color in the
-            array and `line.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `line.color`is set
-            to a numerical array.
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        dash=None,
-        reversescale=None,
-        showscale=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `line.colorscale`. Has an effect only if in
-            `line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `line.color`)
-            or the bounds set in `line.cmin` and `line.cmax`  Has
-            an effect only if in `line.color`is set to a numerical
-            array. Defaults to `false` when `line.cmin` and
-            `line.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `line.cmin` and/or `line.cmax` to be equidistant to
-            this point. Has an effect only if in `line.color`is set
-            to a numerical array. Value should have the same units
-            as in `line.color`. Has no effect when `line.cauto` is
-            `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `line.color`is set to a numerical array.
-            Value should have the same units as in `line.color` and
-            if set, `line.cmax` must be set as well.
-        color
-            Sets thelinecolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `line.cmin` and `line.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatter3d.line.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `line.color`is set to a numerical array. The colorscale
-            must be an array containing arrays mapping a normalized
-            value to an rgb, rgba, hex, hsl, hsv, or named color
-            string. At minimum, a mapping for the lowest (0) and
-            highest (1) values are required. For example, `[[0,
-            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-            bounds of the colorscale in color space, use`line.cmin`
-            and `line.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        dash
-            Sets the dash style of the lines.
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `line.color`is set to a numerical array. If true,
-            `line.cmin` will correspond to the last color in the
-            array and `line.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `line.color`is set
-            to a numerical array.
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorbar"] = v_line.ColorBarValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["showscale"] = v_line.ShowscaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorZ(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorZ object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.ErrorZ`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorZ
-        """
-        super(ErrorZ, self).__init__("error_z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.ErrorZ 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.ErrorZ`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import error_z as v_error_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_z.ArrayValidator()
-        self._validators["arrayminus"] = v_error_z.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_z.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_z.ArraysrcValidator()
-        self._validators["color"] = v_error_z.ColorValidator()
-        self._validators["symmetric"] = v_error_z.SymmetricValidator()
-        self._validators["thickness"] = v_error_z.ThicknessValidator()
-        self._validators["traceref"] = v_error_z.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_z.TracerefminusValidator()
-        self._validators["type"] = v_error_z.TypeValidator()
-        self._validators["value"] = v_error_z.ValueValidator()
-        self._validators["valueminus"] = v_error_z.ValueminusValidator()
-        self._validators["visible"] = v_error_z.VisibleValidator()
-        self._validators["width"] = v_error_z.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorY(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # copy_zstyle
-    # -----------
-    @property
-    def copy_zstyle(self):
-        """
-        The 'copy_zstyle' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["copy_zstyle"]
-
-    @copy_zstyle.setter
-    def copy_zstyle(self, val):
-        self["copy_zstyle"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_zstyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        copy_zstyle=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorY object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.ErrorY`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_zstyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorY
-        """
-        super(ErrorY, self).__init__("error_y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.ErrorY 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.ErrorY`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import error_y as v_error_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_y.ArrayValidator()
-        self._validators["arrayminus"] = v_error_y.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_y.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_y.ArraysrcValidator()
-        self._validators["color"] = v_error_y.ColorValidator()
-        self._validators["copy_zstyle"] = v_error_y.CopyZstyleValidator()
-        self._validators["symmetric"] = v_error_y.SymmetricValidator()
-        self._validators["thickness"] = v_error_y.ThicknessValidator()
-        self._validators["traceref"] = v_error_y.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_y.TracerefminusValidator()
-        self._validators["type"] = v_error_y.TypeValidator()
-        self._validators["value"] = v_error_y.ValueValidator()
-        self._validators["valueminus"] = v_error_y.ValueminusValidator()
-        self._validators["visible"] = v_error_y.VisibleValidator()
-        self._validators["width"] = v_error_y.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("copy_zstyle", None)
-        self["copy_zstyle"] = copy_zstyle if copy_zstyle is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorX(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # copy_zstyle
-    # -----------
-    @property
-    def copy_zstyle(self):
-        """
-        The 'copy_zstyle' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["copy_zstyle"]
-
-    @copy_zstyle.setter
-    def copy_zstyle(self, val):
-        self["copy_zstyle"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_zstyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        copy_zstyle=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorX object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.ErrorX`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_zstyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorX
-        """
-        super(ErrorX, self).__init__("error_x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.ErrorX 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.ErrorX`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d import error_x as v_error_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_x.ArrayValidator()
-        self._validators["arrayminus"] = v_error_x.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_x.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_x.ArraysrcValidator()
-        self._validators["color"] = v_error_x.ColorValidator()
-        self._validators["copy_zstyle"] = v_error_x.CopyZstyleValidator()
-        self._validators["symmetric"] = v_error_x.SymmetricValidator()
-        self._validators["thickness"] = v_error_x.ThicknessValidator()
-        self._validators["traceref"] = v_error_x.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_x.TracerefminusValidator()
-        self._validators["type"] = v_error_x.TypeValidator()
-        self._validators["value"] = v_error_x.ValueValidator()
-        self._validators["valueminus"] = v_error_x.ValueminusValidator()
-        self._validators["visible"] = v_error_x.VisibleValidator()
-        self._validators["width"] = v_error_x.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("copy_zstyle", None)
-        self["copy_zstyle"] = copy_zstyle if copy_zstyle is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ErrorX",
-    "ErrorY",
-    "ErrorZ",
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Projection",
-    "Stream",
-    "Textfont",
-    "hoverlabel",
-    "line",
-    "marker",
-    "projection",
-]
-
-from plotly.graph_objs.scatter3d import projection
-from plotly.graph_objs.scatter3d import marker
-from plotly.graph_objs.scatter3d import line
-from plotly.graph_objs.scatter3d import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._projection import Projection
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._error_z import ErrorZ
+    from ._error_y import ErrorY
+    from ._error_x import ErrorX
+    from . import projection
+    from . import marker
+    from . import line
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".projection", ".marker", ".line", ".hoverlabel"],
+        [
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._projection.Projection",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+            "._error_z.ErrorZ",
+            "._error_y.ErrorY",
+            "._error_x.ErrorX",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_error_x.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_error_x.py
new file mode 100644
index 00000000000..128973ee244
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_error_x.py
@@ -0,0 +1,629 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorX(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.error_x"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "copy_zstyle",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # copy_zstyle
+    # -----------
+    @property
+    def copy_zstyle(self):
+        """
+        The 'copy_zstyle' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["copy_zstyle"]
+
+    @copy_zstyle.setter
+    def copy_zstyle(self, val):
+        self["copy_zstyle"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_zstyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        copy_zstyle=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorX object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.ErrorX`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_zstyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorX
+        """
+        super(ErrorX, self).__init__("error_x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.ErrorX 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.ErrorX`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("copy_zstyle", None)
+        _v = copy_zstyle if copy_zstyle is not None else _v
+        if _v is not None:
+            self["copy_zstyle"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_error_y.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_error_y.py
new file mode 100644
index 00000000000..5641a2de8a8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_error_y.py
@@ -0,0 +1,629 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorY(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.error_y"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "copy_zstyle",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # copy_zstyle
+    # -----------
+    @property
+    def copy_zstyle(self):
+        """
+        The 'copy_zstyle' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["copy_zstyle"]
+
+    @copy_zstyle.setter
+    def copy_zstyle(self, val):
+        self["copy_zstyle"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_zstyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        copy_zstyle=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorY object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.ErrorY`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_zstyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorY
+        """
+        super(ErrorY, self).__init__("error_y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.ErrorY 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.ErrorY`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("copy_zstyle", None)
+        _v = copy_zstyle if copy_zstyle is not None else _v
+        if _v is not None:
+            self["copy_zstyle"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_error_z.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_error_z.py
new file mode 100644
index 00000000000..4a65a096829
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_error_z.py
@@ -0,0 +1,601 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorZ(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.error_z"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorZ object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.ErrorZ`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorZ
+        """
+        super(ErrorZ, self).__init__("error_z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.ErrorZ 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.ErrorZ`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_hoverlabel.py
new file mode 100644
index 00000000000..f3693c69607
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_line.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_line.py
new file mode 100644
index 00000000000..c26538782af
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_line.py
@@ -0,0 +1,927 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "dash",
+        "reversescale",
+        "showscale",
+        "width",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `line.colorscale`. Has an effect only if in `line.color`is set
+        to a numerical array. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `line.color`) or the bounds
+        set in `line.cmin` and `line.cmax`  Has an effect only if in
+        `line.color`is set to a numerical array. Defaults to `false`
+        when `line.cmin` and `line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `line.color`is set to a numerical array. Value should have
+        the same units as in `line.color` and if set, `line.cmin` must
+        be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `line.cmin`
+        and/or `line.cmax` to be equidistant to this point. Has an
+        effect only if in `line.color`is set to a numerical array.
+        Value should have the same units as in `line.color`. Has no
+        effect when `line.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `line.color`is set to a numerical array. Value should have
+        the same units as in `line.color` and if set, `line.cmax` must
+        be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets thelinecolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to `line.cmin`
+        and `line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatter3d.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.line.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    3d.line.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scatter3d.line.colorbar.tickformatstopdefault
+                    s), sets the default property values to use for
+                    elements of
+                    scatter3d.line.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scatter3d.line.col
+                    orbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    scatter3d.line.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scatter3d.line.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.line.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `line.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
+        be a palette name string of the following list: Greys,YlGnBu,Gr
+        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
+        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of the lines.
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+
+        Returns
+        -------
+        Any
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `line.color`is set to a numerical array. If true, `line.cmin`
+        will correspond to the last color in the array and `line.cmax`
+        will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `line.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `line.colorscale`. Has an effect only if in
+            `line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `line.color`)
+            or the bounds set in `line.cmin` and `line.cmax`  Has
+            an effect only if in `line.color`is set to a numerical
+            array. Defaults to `false` when `line.cmin` and
+            `line.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `line.cmin` and/or `line.cmax` to be equidistant to
+            this point. Has an effect only if in `line.color`is set
+            to a numerical array. Value should have the same units
+            as in `line.color`. Has no effect when `line.cauto` is
+            `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmax` must be set as well.
+        color
+            Sets thelinecolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `line.cmin` and `line.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatter3d.line.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `line.color`is set to a numerical array. The colorscale
+            must be an array containing arrays mapping a normalized
+            value to an rgb, rgba, hex, hsl, hsv, or named color
+            string. At minimum, a mapping for the lowest (0) and
+            highest (1) values are required. For example, `[[0,
+            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+            bounds of the colorscale in color space, use`line.cmin`
+            and `line.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        dash
+            Sets the dash style of the lines.
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `line.color`is set to a numerical array. If true,
+            `line.cmin` will correspond to the last color in the
+            array and `line.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `line.color`is set
+            to a numerical array.
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        dash=None,
+        reversescale=None,
+        showscale=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `line.colorscale`. Has an effect only if in
+            `line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `line.color`)
+            or the bounds set in `line.cmin` and `line.cmax`  Has
+            an effect only if in `line.color`is set to a numerical
+            array. Defaults to `false` when `line.cmin` and
+            `line.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `line.cmin` and/or `line.cmax` to be equidistant to
+            this point. Has an effect only if in `line.color`is set
+            to a numerical array. Value should have the same units
+            as in `line.color`. Has no effect when `line.cauto` is
+            `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `line.color`is set to a numerical array.
+            Value should have the same units as in `line.color` and
+            if set, `line.cmax` must be set as well.
+        color
+            Sets thelinecolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `line.cmin` and `line.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatter3d.line.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `line.color`is set to a numerical array. The colorscale
+            must be an array containing arrays mapping a normalized
+            value to an rgb, rgba, hex, hsl, hsv, or named color
+            string. At minimum, a mapping for the lowest (0) and
+            highest (1) values are required. For example, `[[0,
+            'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+            bounds of the colorscale in color space, use`line.cmin`
+            and `line.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        dash
+            Sets the dash style of the lines.
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `line.color`is set to a numerical array. If true,
+            `line.cmin` will correspond to the last color in the
+            array and `line.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `line.color`is set
+            to a numerical array.
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_marker.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_marker.py
new file mode 100644
index 00000000000..1fe5b98b4ea
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_marker.py
@@ -0,0 +1,1268 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatter3d.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    3d.marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scatter3d.marker.colorbar.tickformatstopdefau
+                    lts), sets the default property values to use
+                    for elements of
+                    scatter3d.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scatter3d.marker.c
+                    olorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    scatter3d.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scatter3d.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity. Note that the marker opacity for
+        scatter3d traces must be a scalar value for performance
+        reasons. To set a blending opacity value (i.e. which is not
+        transparent), set "marker.color" to an rgba color and use its
+        alpha channel.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['circle', 'circle-open', 'square', 'square-open',
+                'diamond', 'diamond-open', 'cross', 'x']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatter3d.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.scatter3d.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity. Note that the marker opacity
+            for scatter3d traces must be a scalar value for
+            performance reasons. To set a blending opacity value
+            (i.e. which is not transparent), set "marker.color" to
+            an rgba color and use its alpha channel.
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatter3d.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.scatter3d.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity. Note that the marker opacity
+            for scatter3d traces must be a scalar value for
+            performance reasons. To set a blending opacity value
+            (i.e. which is not transparent), set "marker.color" to
+            an rgba color and use its alpha channel.
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_projection.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_projection.py
new file mode 100644
index 00000000000..1b28e6949c4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_projection.py
@@ -0,0 +1,196 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Projection(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.projection"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is an instance of X
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.projection.X`
+          - A dict of string/value properties that will be passed
+            to the X constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the projection color.
+                scale
+                    Sets the scale factor determining the size of
+                    the projection marker points.
+                show
+                    Sets whether or not projections are shown along
+                    the x axis.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.projection.X
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is an instance of Y
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.projection.Y`
+          - A dict of string/value properties that will be passed
+            to the Y constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the projection color.
+                scale
+                    Sets the scale factor determining the size of
+                    the projection marker points.
+                show
+                    Sets whether or not projections are shown along
+                    the y axis.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.projection.Y
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is an instance of Z
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.projection.Z`
+          - A dict of string/value properties that will be passed
+            to the Z constructor
+    
+            Supported dict properties:
+                
+                opacity
+                    Sets the projection color.
+                scale
+                    Sets the scale factor determining the size of
+                    the projection marker points.
+                show
+                    Sets whether or not projections are shown along
+                    the z axis.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.projection.Z
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            :class:`plotly.graph_objects.scatter3d.projection.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.scatter3d.projection.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.scatter3d.projection.Z`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Projection object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.Projection`
+        x
+            :class:`plotly.graph_objects.scatter3d.projection.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.scatter3d.projection.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.scatter3d.projection.Z`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Projection
+        """
+        super(Projection, self).__init__("projection")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.Projection 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.Projection`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_stream.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_stream.py
new file mode 100644
index 00000000000..afb36948fb5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatter3d/_textfont.py
new file mode 100644
index 00000000000..9196340efd0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/_textfont.py
@@ -0,0 +1,295 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d"
+    _path_str = "scatter3d.textfont"
+    _valid_props = {"color", "colorsrc", "family", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/__init__.py
index 1019641f2c8..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/_font.py
new file mode 100644
index 00000000000..ee691dd78ca
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.hoverlabel"
+    _path_str = "scatter3d.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/__init__.py
index fbad1669545..48d0fee5e0d 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/line/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/__init__.py
@@ -1,1870 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.line.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scatter3d.line
-        .colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        scatter3d.line.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.line.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scatter3d.line.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scatter3d.line.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.line"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatter3d.line.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            r3d.line.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scatter3d.line.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatter3d.line.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatter3d.line.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scatter3d.line.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.line.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatter3d.line.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            r3d.line.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scatter3d.line.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatter3d.line.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatter3d.line.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scatter3d.line.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.line.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.line.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.line import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "colorbar"]
-
-from plotly.graph_objs.scatter3d.line import colorbar
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/_colorbar.py
new file mode 100644
index 00000000000..652075e416a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.line"
+    _path_str = "scatter3d.line.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.line.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scatter3d.line
+        .colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        scatter3d.line.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.line.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scatter3d.line.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scatter3d.line.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatter3d.line.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            r3d.line.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scatter3d.line.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatter3d.line.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatter3d.line.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scatter3d.line.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.line.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatter3d.line.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            r3d.line.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scatter3d.line.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatter3d.line.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatter3d.line.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scatter3d.line.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.line.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.line.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/__init__.py
index 928ee589912..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.line.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.line
-            .colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.line.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.line.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.line
-            .colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.line.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.line.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.line
-            .colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.line.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.line.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scatter3d.line.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_tickfont.py
new file mode 100644
index 00000000000..561ca46dea3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.line.colorbar"
+    _path_str = "scatter3d.line.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.line
+            .colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.line.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..49ffca16e01
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.line.colorbar"
+    _path_str = "scatter3d.line.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.line
+            .colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_title.py
new file mode 100644
index 00000000000..d5c24c0abb8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.line.colorbar"
+    _path_str = "scatter3d.line.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.line.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.line
+            .colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.line.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/__init__.py
index 7db9e8eeb96..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.line.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.line
-            .colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.line.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.line.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/_font.py
new file mode 100644
index 00000000000..ff6145d42f3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/line/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.line.colorbar.title"
+    _path_str = "scatter3d.line.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.line
+            .colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.line.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.line.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/__init__.py
index 8df21ee425d..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/__init__.py
@@ -1,2479 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatter3d.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scatter3d.mark
-        er.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        scatter3d.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scatter3d.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scatter3d.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatter3d.marke
-            r.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            r3d.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scatter3d.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatter3d.marker.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatter3d.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scatter3d.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatter3d.marke
-            r.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            r3d.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scatter3d.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatter3d.marker.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatter3d.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scatter3d.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.scatter3d.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/_colorbar.py
new file mode 100644
index 00000000000..3d1a30c1dcc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/_colorbar.py
@@ -0,0 +1,1943 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.marker"
+    _path_str = "scatter3d.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scatter3d.mark
+        er.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        scatter3d.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scatter3d.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scatter3d.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatter3d.marke
+            r.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            r3d.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scatter3d.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatter3d.marker.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatter3d.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scatter3d.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatter3d.marke
+            r.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            r3d.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scatter3d.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatter3d.marker.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatter3d.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scatter3d.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/_line.py
new file mode 100644
index 00000000000..479e2c16b4b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/_line.py
@@ -0,0 +1,625 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.marker"
+    _path_str = "scatter3d.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatter3d.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/__init__.py
index f9cc6dd4511..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatter3d.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.mark
-            er.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.mark
-            er.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.mark
-            er.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scatter3d.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..7e5302659d4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.marker.colorbar"
+    _path_str = "scatter3d.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.mark
+            er.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..97481bbb243
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.marker.colorbar"
+    _path_str = "scatter3d.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.mark
+            er.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_title.py
new file mode 100644
index 00000000000..5dcc3bbd0ec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.marker.colorbar"
+    _path_str = "scatter3d.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatter3d.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.mark
+            er.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/__init__.py
index 2a24d688922..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatter3d.mark
-            er.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..0d080961c82
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.marker.colorbar.title"
+    _path_str = "scatter3d.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatter3d.mark
+            er.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/projection/__init__.py b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/__init__.py
index 9c4eca13cd9..3e3a4f570cc 100644
--- a/packages/python/plotly/plotly/graph_objs/scatter3d/projection/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/__init__.py
@@ -1,484 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Z(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the projection color.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # scale
-    # -----
-    @property
-    def scale(self):
-        """
-        Sets the scale factor determining the size of the projection
-        marker points.
-    
-        The 'scale' property is a number and may be specified as:
-          - An int or float in the interval [0, 10]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["scale"]
-
-    @scale.setter
-    def scale(self, val):
-        self["scale"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets whether or not projections are shown along the z axis.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.projection"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the projection color.
-        scale
-            Sets the scale factor determining the size of the
-            projection marker points.
-        show
-            Sets whether or not projections are shown along the z
-            axis.
-        """
-
-    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
-        """
-        Construct a new Z object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.projection.Z`
-        opacity
-            Sets the projection color.
-        scale
-            Sets the scale factor determining the size of the
-            projection marker points.
-        show
-            Sets whether or not projections are shown along the z
-            axis.
-
-        Returns
-        -------
-        Z
-        """
-        super(Z, self).__init__("z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.projection.Z 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.projection.Z`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.projection import z as v_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_z.OpacityValidator()
-        self._validators["scale"] = v_z.ScaleValidator()
-        self._validators["show"] = v_z.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("scale", None)
-        self["scale"] = scale if scale is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Y(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the projection color.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # scale
-    # -----
-    @property
-    def scale(self):
-        """
-        Sets the scale factor determining the size of the projection
-        marker points.
-    
-        The 'scale' property is a number and may be specified as:
-          - An int or float in the interval [0, 10]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["scale"]
-
-    @scale.setter
-    def scale(self, val):
-        self["scale"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets whether or not projections are shown along the y axis.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.projection"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the projection color.
-        scale
-            Sets the scale factor determining the size of the
-            projection marker points.
-        show
-            Sets whether or not projections are shown along the y
-            axis.
-        """
-
-    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
-        """
-        Construct a new Y object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.projection.Y`
-        opacity
-            Sets the projection color.
-        scale
-            Sets the scale factor determining the size of the
-            projection marker points.
-        show
-            Sets whether or not projections are shown along the y
-            axis.
-
-        Returns
-        -------
-        Y
-        """
-        super(Y, self).__init__("y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.projection.Y 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.projection.Y`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.projection import y as v_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_y.OpacityValidator()
-        self._validators["scale"] = v_y.ScaleValidator()
-        self._validators["show"] = v_y.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("scale", None)
-        self["scale"] = scale if scale is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class X(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the projection color.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # scale
-    # -----
-    @property
-    def scale(self):
-        """
-        Sets the scale factor determining the size of the projection
-        marker points.
-    
-        The 'scale' property is a number and may be specified as:
-          - An int or float in the interval [0, 10]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["scale"]
-
-    @scale.setter
-    def scale(self, val):
-        self["scale"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets whether or not projections are shown along the x axis.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatter3d.projection"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the projection color.
-        scale
-            Sets the scale factor determining the size of the
-            projection marker points.
-        show
-            Sets whether or not projections are shown along the x
-            axis.
-        """
-
-    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
-        """
-        Construct a new X object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatter3d.projection.X`
-        opacity
-            Sets the projection color.
-        scale
-            Sets the scale factor determining the size of the
-            projection marker points.
-        show
-            Sets whether or not projections are shown along the x
-            axis.
-
-        Returns
-        -------
-        X
-        """
-        super(X, self).__init__("x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatter3d.projection.X 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatter3d.projection.X`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatter3d.projection import x as v_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_x.OpacityValidator()
-        self._validators["scale"] = v_x.ScaleValidator()
-        self._validators["show"] = v_x.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("scale", None)
-        self["scale"] = scale if scale is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["X", "Y", "Z"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import Z
+    from ._y import Y
+    from ._x import X
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.Z", "._y.Y", "._x.X"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_x.py b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_x.py
new file mode 100644
index 00000000000..273635f1e3b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_x.py
@@ -0,0 +1,159 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class X(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.projection"
+    _path_str = "scatter3d.projection.x"
+    _valid_props = {"opacity", "scale", "show"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the projection color.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # scale
+    # -----
+    @property
+    def scale(self):
+        """
+        Sets the scale factor determining the size of the projection
+        marker points.
+    
+        The 'scale' property is a number and may be specified as:
+          - An int or float in the interval [0, 10]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["scale"]
+
+    @scale.setter
+    def scale(self, val):
+        self["scale"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets whether or not projections are shown along the x axis.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the projection color.
+        scale
+            Sets the scale factor determining the size of the
+            projection marker points.
+        show
+            Sets whether or not projections are shown along the x
+            axis.
+        """
+
+    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
+        """
+        Construct a new X object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.projection.X`
+        opacity
+            Sets the projection color.
+        scale
+            Sets the scale factor determining the size of the
+            projection marker points.
+        show
+            Sets whether or not projections are shown along the x
+            axis.
+
+        Returns
+        -------
+        X
+        """
+        super(X, self).__init__("x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.projection.X 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.projection.X`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("scale", None)
+        _v = scale if scale is not None else _v
+        if _v is not None:
+            self["scale"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_y.py b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_y.py
new file mode 100644
index 00000000000..8ccb3617026
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_y.py
@@ -0,0 +1,159 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Y(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.projection"
+    _path_str = "scatter3d.projection.y"
+    _valid_props = {"opacity", "scale", "show"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the projection color.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # scale
+    # -----
+    @property
+    def scale(self):
+        """
+        Sets the scale factor determining the size of the projection
+        marker points.
+    
+        The 'scale' property is a number and may be specified as:
+          - An int or float in the interval [0, 10]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["scale"]
+
+    @scale.setter
+    def scale(self, val):
+        self["scale"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets whether or not projections are shown along the y axis.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the projection color.
+        scale
+            Sets the scale factor determining the size of the
+            projection marker points.
+        show
+            Sets whether or not projections are shown along the y
+            axis.
+        """
+
+    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
+        """
+        Construct a new Y object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.projection.Y`
+        opacity
+            Sets the projection color.
+        scale
+            Sets the scale factor determining the size of the
+            projection marker points.
+        show
+            Sets whether or not projections are shown along the y
+            axis.
+
+        Returns
+        -------
+        Y
+        """
+        super(Y, self).__init__("y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.projection.Y 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.projection.Y`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("scale", None)
+        _v = scale if scale is not None else _v
+        if _v is not None:
+            self["scale"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_z.py b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_z.py
new file mode 100644
index 00000000000..0d0614aec0e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatter3d/projection/_z.py
@@ -0,0 +1,159 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Z(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatter3d.projection"
+    _path_str = "scatter3d.projection.z"
+    _valid_props = {"opacity", "scale", "show"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the projection color.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # scale
+    # -----
+    @property
+    def scale(self):
+        """
+        Sets the scale factor determining the size of the projection
+        marker points.
+    
+        The 'scale' property is a number and may be specified as:
+          - An int or float in the interval [0, 10]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["scale"]
+
+    @scale.setter
+    def scale(self, val):
+        self["scale"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets whether or not projections are shown along the z axis.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the projection color.
+        scale
+            Sets the scale factor determining the size of the
+            projection marker points.
+        show
+            Sets whether or not projections are shown along the z
+            axis.
+        """
+
+    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
+        """
+        Construct a new Z object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatter3d.projection.Z`
+        opacity
+            Sets the projection color.
+        scale
+            Sets the scale factor determining the size of the
+            projection marker points.
+        show
+            Sets whether or not projections are shown along the z
+            axis.
+
+        Returns
+        -------
+        Z
+        """
+        super(Z, self).__init__("z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatter3d.projection.Z 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatter3d.projection.Z`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("scale", None)
+        _v = scale if scale is not None else _v
+        if _v is not None:
+            self["scale"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/__init__.py
index 6919b75e501..70cc13d3d61 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/__init__.py
@@ -1,2962 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattercarpet.unselected.M
-            arker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattercarpet.unselected.T
-            extfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Unselected`
-        marker
-            :class:`plotly.graph_objects.scattercarpet.unselected.M
-            arker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattercarpet.unselected.T
-            extfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattercarpet.selected.Mar
-            ker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattercarpet.selected.Tex
-            tfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Selected`
-        marker
-            :class:`plotly.graph_objects.scattercarpet.selected.Mar
-            ker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattercarpet.selected.Tex
-            tfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattercarpet.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    carpet.marker.colorbar.Tickformatstop`
-                    instances or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scattercarpet.marker.colorbar.tickformatstopd
-                    efaults), sets the default property values to
-                    use for elements of
-                    scattercarpet.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scattercarpet.mark
-                    er.colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    scattercarpet.marker.colorbar.title.font
-                    instead. Sets this color bar's title font. Note
-                    that the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scattercarpet.marker.colorbar.title.side
-                    instead. Determines the location of color bar's
-                    title with respect to the color bar. Note that
-                    the title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # gradient
-    # --------
-    @property
-    def gradient(self):
-        """
-        The 'gradient' property is an instance of Gradient
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.Gradient`
-          - A dict of string/value properties that will be passed
-            to the Gradient constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the final color of the gradient fill: the
-                    center color for radial, the right for
-                    horizontal, or the bottom for vertical.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                type
-                    Sets the type of gradient used to fill the
-                    markers
-                typesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  type .
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.Gradient
-        """
-        return self["gradient"]
-
-    @gradient.setter
-    def gradient(self, val):
-        self["gradient"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # maxdisplayed
-    # ------------
-    @property
-    def maxdisplayed(self):
-        """
-        Sets a maximum number of points to be drawn on the graph. 0
-        corresponds to no limit.
-    
-        The 'maxdisplayed' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxdisplayed"]
-
-    @maxdisplayed.setter
-    def maxdisplayed(self, val):
-        self["maxdisplayed"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattercarpet.marker.Color
-            Bar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scattercarpet.marker.Gradi
-            ent` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scattercarpet.marker.Line`
-            instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        gradient=None,
-        line=None,
-        maxdisplayed=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattercarpet.marker.Color
-            Bar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scattercarpet.marker.Gradi
-            ent` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scattercarpet.marker.Line`
-            instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["gradient"] = v_marker.GradientValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["maxdisplayed"] = v_marker.MaxdisplayedValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("gradient", None)
-        self["gradient"] = gradient if gradient is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("maxdisplayed", None)
-        self["maxdisplayed"] = maxdisplayed if maxdisplayed is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Determines the line shape. With "spline" the lines are drawn
-        using spline interpolation. The other available values
-        correspond to step-wise line shapes.
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'spline']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Has an effect only if `shape` is set to "spline" Sets the
-        amount of smoothing. 0 corresponds to no smoothing (equivalent
-        to a "linear" shape).
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dash=None,
-        shape=None,
-        smoothing=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scattercarpet import unselected
-from plotly.graph_objs.scattercarpet import selected
-from plotly.graph_objs.scattercarpet import marker
-from plotly.graph_objs.scattercarpet import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_hoverlabel.py
new file mode 100644
index 00000000000..583fbd2c74d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_line.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_line.py
new file mode 100644
index 00000000000..917be3ffaa2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_line.py
@@ -0,0 +1,283 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.line"
+    _valid_props = {"color", "dash", "shape", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Determines the line shape. With "spline" the lines are drawn
+        using spline interpolation. The other available values
+        correspond to step-wise line shapes.
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'spline']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Has an effect only if `shape` is set to "spline" Sets the
+        amount of smoothing. 0 corresponds to no smoothing (equivalent
+        to a "linear" shape).
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dash=None,
+        shape=None,
+        smoothing=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_marker.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_marker.py
new file mode 100644
index 00000000000..99b16d3399c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_marker.py
@@ -0,0 +1,1444 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "gradient",
+        "line",
+        "maxdisplayed",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattercarpet.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    carpet.marker.colorbar.Tickformatstop`
+                    instances or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scattercarpet.marker.colorbar.tickformatstopd
+                    efaults), sets the default property values to
+                    use for elements of
+                    scattercarpet.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scattercarpet.mark
+                    er.colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    scattercarpet.marker.colorbar.title.font
+                    instead. Sets this color bar's title font. Note
+                    that the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scattercarpet.marker.colorbar.title.side
+                    instead. Determines the location of color bar's
+                    title with respect to the color bar. Note that
+                    the title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # gradient
+    # --------
+    @property
+    def gradient(self):
+        """
+        The 'gradient' property is an instance of Gradient
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.Gradient`
+          - A dict of string/value properties that will be passed
+            to the Gradient constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the final color of the gradient fill: the
+                    center color for radial, the right for
+                    horizontal, or the bottom for vertical.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                type
+                    Sets the type of gradient used to fill the
+                    markers
+                typesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  type .
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.Gradient
+        """
+        return self["gradient"]
+
+    @gradient.setter
+    def gradient(self, val):
+        self["gradient"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # maxdisplayed
+    # ------------
+    @property
+    def maxdisplayed(self):
+        """
+        Sets a maximum number of points to be drawn on the graph. 0
+        corresponds to no limit.
+    
+        The 'maxdisplayed' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxdisplayed"]
+
+    @maxdisplayed.setter
+    def maxdisplayed(self, val):
+        self["maxdisplayed"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattercarpet.marker.Color
+            Bar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scattercarpet.marker.Gradi
+            ent` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scattercarpet.marker.Line`
+            instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        gradient=None,
+        line=None,
+        maxdisplayed=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattercarpet.marker.Color
+            Bar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scattercarpet.marker.Gradi
+            ent` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scattercarpet.marker.Line`
+            instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("gradient", None)
+        _v = gradient if gradient is not None else _v
+        if _v is not None:
+            self["gradient"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("maxdisplayed", None)
+        _v = maxdisplayed if maxdisplayed is not None else _v
+        if _v is not None:
+            self["maxdisplayed"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_selected.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_selected.py
new file mode 100644
index 00000000000..9163980bf39
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattercarpet.selected.Mar
+            ker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattercarpet.selected.Tex
+            tfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Selected`
+        marker
+            :class:`plotly.graph_objects.scattercarpet.selected.Mar
+            ker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattercarpet.selected.Tex
+            tfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_stream.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_stream.py
new file mode 100644
index 00000000000..53ddace2f6a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_textfont.py
new file mode 100644
index 00000000000..f898848ee9d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/_unselected.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/_unselected.py
new file mode 100644
index 00000000000..cc08d1193b5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet"
+    _path_str = "scattercarpet.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattercarpet.unselected.M
+            arker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattercarpet.unselected.T
+            extfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.Unselected`
+        marker
+            :class:`plotly.graph_objects.scattercarpet.unselected.M
+            arker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattercarpet.unselected.T
+            extfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/__init__.py
index fc008a134be..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/_font.py
new file mode 100644
index 00000000000..218c7a93942
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.hoverlabel"
+    _path_str = "scattercarpet.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/__init__.py
index e51479b977b..6c5711d6c09 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/__init__.py
@@ -1,2748 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattercarpet.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattercarpet.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Gradient(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the final color of the gradient fill: the center color for
-        radial, the right for horizontal, or the bottom for vertical.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the type of gradient used to fill the markers
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radial', 'horizontal', 'vertical', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # typesrc
-    # -------
-    @property
-    def typesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  type .
-    
-        The 'typesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["typesrc"]
-
-    @typesrc.setter
-    def typesrc(self, val):
-        self["typesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
-    ):
-        """
-        Construct a new Gradient object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            marker.Gradient`
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-
-        Returns
-        -------
-        Gradient
-        """
-        super(Gradient, self).__init__("gradient")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.Gradient 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.Gradient`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker import gradient as v_gradient
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_gradient.ColorValidator()
-        self._validators["colorsrc"] = v_gradient.ColorsrcValidator()
-        self._validators["type"] = v_gradient.TypeValidator()
-        self._validators["typesrc"] = v_gradient.TypesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("typesrc", None)
-        self["typesrc"] = typesrc if typesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scattercarpet.
-        marker.colorbar.tickformatstopdefaults), sets the default
-        property values to use for elements of
-        scattercarpet.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scattercarpet.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scattercarpet.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattercarpet.m
-            arker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rcarpet.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scattercarpet.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattercarpet.marker.color
-            bar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattercarpet.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scattercarpet.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattercarpet.m
-            arker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rcarpet.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scattercarpet.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattercarpet.marker.color
-            bar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattercarpet.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scattercarpet.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Gradient", "Line", "colorbar"]
-
-from plotly.graph_objs.scattercarpet.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._gradient import Gradient
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".colorbar"],
+        ["._line.Line", "._gradient.Gradient", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_colorbar.py
new file mode 100644
index 00000000000..69e92327863
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_colorbar.py
@@ -0,0 +1,1945 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker"
+    _path_str = "scattercarpet.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scattercarpet.
+        marker.colorbar.tickformatstopdefaults), sets the default
+        property values to use for elements of
+        scattercarpet.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scattercarpet.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scattercarpet.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattercarpet.m
+            arker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rcarpet.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scattercarpet.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattercarpet.marker.color
+            bar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattercarpet.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scattercarpet.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattercarpet.m
+            arker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rcarpet.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scattercarpet.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattercarpet.marker.color
+            bar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattercarpet.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scattercarpet.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_gradient.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_gradient.py
new file mode 100644
index 00000000000..92f49b68484
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_gradient.py
@@ -0,0 +1,235 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Gradient(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker"
+    _path_str = "scattercarpet.marker.gradient"
+    _valid_props = {"color", "colorsrc", "type", "typesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the final color of the gradient fill: the center color for
+        radial, the right for horizontal, or the bottom for vertical.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the type of gradient used to fill the markers
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radial', 'horizontal', 'vertical', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # typesrc
+    # -------
+    @property
+    def typesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  type .
+    
+        The 'typesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["typesrc"]
+
+    @typesrc.setter
+    def typesrc(self, val):
+        self["typesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
+    ):
+        """
+        Construct a new Gradient object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            marker.Gradient`
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+
+        Returns
+        -------
+        Gradient
+        """
+        super(Gradient, self).__init__("gradient")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.Gradient 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.Gradient`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("typesrc", None)
+        _v = typesrc if typesrc is not None else _v
+        if _v is not None:
+            self["typesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_line.py
new file mode 100644
index 00000000000..29dcd87f1c0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker"
+    _path_str = "scattercarpet.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattercarpet.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattercarpet.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/__init__.py
index 27f91a75aab..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/__init__.py
@@ -1,726 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattercarpet.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            marker.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            marker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker.colorbar import (
-            tickfont as v_tickfont,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scattercarpet.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..d171bc693dc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker.colorbar"
+    _path_str = "scattercarpet.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            marker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..32a25fff81a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker.colorbar"
+    _path_str = "scattercarpet.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            marker.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_title.py
new file mode 100644
index 00000000000..f96d6a2aa06
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker.colorbar"
+    _path_str = "scattercarpet.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattercarpet.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/__init__.py
index 69516ac12dc..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            marker.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..a97ca031874
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.marker.colorbar.title"
+    _path_str = "scattercarpet.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            marker.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/__init__.py
index 8749098959c..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/_marker.py
new file mode 100644
index 00000000000..0c36415ff40
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.selected"
+    _path_str = "scattercarpet.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/_textfont.py
new file mode 100644
index 00000000000..817da8d956e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.selected"
+    _path_str = "scattercarpet.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/__init__.py
index 96c4a9730a2..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            unselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattercarpet.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattercarpet.
-            unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattercarpet.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattercarpet.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattercarpet.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/_marker.py
new file mode 100644
index 00000000000..58caaac0db5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.unselected"
+    _path_str = "scattercarpet.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/_textfont.py
new file mode 100644
index 00000000000..39b8b78784a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattercarpet/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattercarpet.unselected"
+    _path_str = "scattercarpet.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattercarpet.
+            unselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattercarpet.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattercarpet.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/__init__.py
index efede65e7af..70cc13d3d61 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/__init__.py
@@ -1,2855 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattergeo.unselected.Mark
-            er` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergeo.unselected.Text
-            font` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Unselected`
-        marker
-            :class:`plotly.graph_objects.scattergeo.unselected.Mark
-            er` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergeo.unselected.Text
-            font` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattergeo.selected.Marker
-            ` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergeo.selected.Textfo
-            nt` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Selected`
-        marker
-            :class:`plotly.graph_objects.scattergeo.selected.Marker
-            ` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergeo.selected.Textfo
-            nt` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattergeo.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    geo.marker.colorbar.Tickformatstop` instances
-                    or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scattergeo.marker.colorbar.tickformatstopdefa
-                    ults), sets the default property values to use
-                    for elements of
-                    scattergeo.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scattergeo.marker.
-                    colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    scattergeo.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scattergeo.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # gradient
-    # --------
-    @property
-    def gradient(self):
-        """
-        The 'gradient' property is an instance of Gradient
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.Gradient`
-          - A dict of string/value properties that will be passed
-            to the Gradient constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the final color of the gradient fill: the
-                    center color for radial, the right for
-                    horizontal, or the bottom for vertical.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                type
-                    Sets the type of gradient used to fill the
-                    markers
-                typesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  type .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.Gradient
-        """
-        return self["gradient"]
-
-    @gradient.setter
-    def gradient(self, val):
-        self["gradient"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattergeo.marker.ColorBar
-            ` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scattergeo.marker.Gradient
-            ` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scattergeo.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        gradient=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattergeo.marker.ColorBar
-            ` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scattergeo.marker.Gradient
-            ` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scattergeo.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["gradient"] = v_marker.GradientValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("gradient", None)
-        self["gradient"] = gradient if gradient is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scattergeo import unselected
-from plotly.graph_objs.scattergeo import selected
-from plotly.graph_objs.scattergeo import marker
-from plotly.graph_objs.scattergeo import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_hoverlabel.py
new file mode 100644
index 00000000000..034e2b5c6ee
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_line.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_line.py
new file mode 100644
index 00000000000..d09d211f4e3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_line.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.line"
+    _valid_props = {"color", "dash", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_marker.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_marker.py
new file mode 100644
index 00000000000..2e2a2d78d87
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_marker.py
@@ -0,0 +1,1411 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "gradient",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattergeo.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    geo.marker.colorbar.Tickformatstop` instances
+                    or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scattergeo.marker.colorbar.tickformatstopdefa
+                    ults), sets the default property values to use
+                    for elements of
+                    scattergeo.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scattergeo.marker.
+                    colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    scattergeo.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scattergeo.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # gradient
+    # --------
+    @property
+    def gradient(self):
+        """
+        The 'gradient' property is an instance of Gradient
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.Gradient`
+          - A dict of string/value properties that will be passed
+            to the Gradient constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the final color of the gradient fill: the
+                    center color for radial, the right for
+                    horizontal, or the bottom for vertical.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                type
+                    Sets the type of gradient used to fill the
+                    markers
+                typesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  type .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.Gradient
+        """
+        return self["gradient"]
+
+    @gradient.setter
+    def gradient(self, val):
+        self["gradient"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattergeo.marker.ColorBar
+            ` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scattergeo.marker.Gradient
+            ` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scattergeo.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        gradient=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattergeo.marker.ColorBar
+            ` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scattergeo.marker.Gradient
+            ` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scattergeo.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("gradient", None)
+        _v = gradient if gradient is not None else _v
+        if _v is not None:
+            self["gradient"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_selected.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_selected.py
new file mode 100644
index 00000000000..251f0de2664
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattergeo.selected.Marker
+            ` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergeo.selected.Textfo
+            nt` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Selected`
+        marker
+            :class:`plotly.graph_objects.scattergeo.selected.Marker
+            ` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergeo.selected.Textfo
+            nt` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_stream.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_stream.py
new file mode 100644
index 00000000000..6e65d54da36
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_textfont.py
new file mode 100644
index 00000000000..9b4dbea19eb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/_unselected.py b/packages/python/plotly/plotly/graph_objs/scattergeo/_unselected.py
new file mode 100644
index 00000000000..dc956ed9815
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo"
+    _path_str = "scattergeo.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattergeo.unselected.Mark
+            er` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergeo.unselected.Text
+            font` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.Unselected`
+        marker
+            :class:`plotly.graph_objects.scattergeo.unselected.Mark
+            er` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergeo.unselected.Text
+            font` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/__init__.py
index 73b7dc188a9..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/_font.py
new file mode 100644
index 00000000000..ea959fc5559
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.hoverlabel"
+    _path_str = "scattergeo.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/__init__.py
index f4239f0b1fb..6c5711d6c09 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/__init__.py
@@ -1,2748 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattergeo.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Gradient(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the final color of the gradient fill: the center color for
-        radial, the right for horizontal, or the bottom for vertical.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the type of gradient used to fill the markers
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radial', 'horizontal', 'vertical', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # typesrc
-    # -------
-    @property
-    def typesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  type .
-    
-        The 'typesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["typesrc"]
-
-    @typesrc.setter
-    def typesrc(self, val):
-        self["typesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
-    ):
-        """
-        Construct a new Gradient object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.marker.Gradient`
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-
-        Returns
-        -------
-        Gradient
-        """
-        super(Gradient, self).__init__("gradient")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.Gradient 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.Gradient`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker import gradient as v_gradient
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_gradient.ColorValidator()
-        self._validators["colorsrc"] = v_gradient.ColorsrcValidator()
-        self._validators["type"] = v_gradient.TypeValidator()
-        self._validators["typesrc"] = v_gradient.TypesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("typesrc", None)
-        self["typesrc"] = typesrc if typesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scattergeo.mar
-        ker.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        scattergeo.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scattergeo.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scattergeo.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattergeo.mark
-            er.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rgeo.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scattergeo.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattergeo.marker.colorbar
-            .Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattergeo.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scattergeo.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattergeo.mark
-            er.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rgeo.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scattergeo.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattergeo.marker.colorbar
-            .Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattergeo.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scattergeo.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Gradient", "Line", "colorbar"]
-
-from plotly.graph_objs.scattergeo.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._gradient import Gradient
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".colorbar"],
+        ["._line.Line", "._gradient.Gradient", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_colorbar.py
new file mode 100644
index 00000000000..06599d476d7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_colorbar.py
@@ -0,0 +1,1945 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker"
+    _path_str = "scattergeo.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scattergeo.mar
+        ker.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        scattergeo.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scattergeo.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scattergeo.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattergeo.mark
+            er.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rgeo.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scattergeo.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattergeo.marker.colorbar
+            .Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattergeo.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scattergeo.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattergeo.mark
+            er.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rgeo.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scattergeo.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattergeo.marker.colorbar
+            .Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattergeo.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scattergeo.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_gradient.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_gradient.py
new file mode 100644
index 00000000000..3e14885297c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_gradient.py
@@ -0,0 +1,235 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Gradient(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker"
+    _path_str = "scattergeo.marker.gradient"
+    _valid_props = {"color", "colorsrc", "type", "typesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the final color of the gradient fill: the center color for
+        radial, the right for horizontal, or the bottom for vertical.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the type of gradient used to fill the markers
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radial', 'horizontal', 'vertical', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # typesrc
+    # -------
+    @property
+    def typesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  type .
+    
+        The 'typesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["typesrc"]
+
+    @typesrc.setter
+    def typesrc(self, val):
+        self["typesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
+    ):
+        """
+        Construct a new Gradient object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.marker.Gradient`
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+
+        Returns
+        -------
+        Gradient
+        """
+        super(Gradient, self).__init__("gradient")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.Gradient 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.Gradient`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("typesrc", None)
+        _v = typesrc if typesrc is not None else _v
+        if _v is not None:
+            self["typesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_line.py
new file mode 100644
index 00000000000..5c7fafc8d26
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker"
+    _path_str = "scattergeo.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattergeo.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/__init__.py
index a519b749287..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattergeo.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergeo.mar
-            ker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergeo.mar
-            ker.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergeo.mar
-            ker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scattergeo.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..2eeb1c36316
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker.colorbar"
+    _path_str = "scattergeo.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergeo.mar
+            ker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..9ddb21159e1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker.colorbar"
+    _path_str = "scattergeo.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergeo.mar
+            ker.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_title.py
new file mode 100644
index 00000000000..f6f4e4d895f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker.colorbar"
+    _path_str = "scattergeo.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattergeo.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergeo.mar
+            ker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/__init__.py
index 4da74e5732a..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergeo.mar
-            ker.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..eec3551e792
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.marker.colorbar.title"
+    _path_str = "scattergeo.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergeo.mar
+            ker.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/selected/__init__.py
index f76aabb038a..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_marker.py
new file mode 100644
index 00000000000..5e713206ed7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.selected"
+    _path_str = "scattergeo.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_textfont.py
new file mode 100644
index 00000000000..693c43d36e2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.selected"
+    _path_str = "scattergeo.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/__init__.py
index 76c502e425e..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergeo.uns
-            elected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergeo.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergeo.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergeo.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergeo.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/_marker.py
new file mode 100644
index 00000000000..3cdb074d0df
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.unselected"
+    _path_str = "scattergeo.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergeo.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/_textfont.py
new file mode 100644
index 00000000000..8d0122e5eec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergeo/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergeo.unselected"
+    _path_str = "scattergeo.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergeo.uns
+            elected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergeo.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/__init__.py
index f9ce0028ffc..c833d06cf97 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/__init__.py
@@ -1,4013 +1,34 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattergl.unselected.Marke
-            r` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergl.unselected.Textf
-            ont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Unselected`
-        marker
-            :class:`plotly.graph_objects.scattergl.unselected.Marke
-            r` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergl.unselected.Textf
-            ont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattergl.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergl.selected.Textfon
-            t` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Selected`
-        marker
-            :class:`plotly.graph_objects.scattergl.selected.Marker`
-            instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scattergl.selected.Textfon
-            t` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattergl.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    gl.marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scattergl.marker.colorbar.tickformatstopdefau
-                    lts), sets the default property values to use
-                    for elements of
-                    scattergl.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scattergl.marker.c
-                    olorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    scattergl.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scattergl.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattergl.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.scattergl.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattergl.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.scattergl.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the style of the lines.
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-
-        Returns
-        -------
-        Any
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Determines the line shape. The values correspond to step-wise
-        line shapes.
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'hv', 'vh', 'hvh', 'vhv']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the style of the lines.
-        shape
-            Determines the line shape. The values correspond to
-            step-wise line shapes.
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self, arg=None, color=None, dash=None, shape=None, width=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the style of the lines.
-        shape
-            Determines the line shape. The values correspond to
-            step-wise line shapes.
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorY(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorY object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.ErrorY`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorY
-        """
-        super(ErrorY, self).__init__("error_y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.ErrorY 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.ErrorY`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import error_y as v_error_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_y.ArrayValidator()
-        self._validators["arrayminus"] = v_error_y.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_y.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_y.ArraysrcValidator()
-        self._validators["color"] = v_error_y.ColorValidator()
-        self._validators["symmetric"] = v_error_y.SymmetricValidator()
-        self._validators["thickness"] = v_error_y.ThicknessValidator()
-        self._validators["traceref"] = v_error_y.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_y.TracerefminusValidator()
-        self._validators["type"] = v_error_y.TypeValidator()
-        self._validators["value"] = v_error_y.ValueValidator()
-        self._validators["valueminus"] = v_error_y.ValueminusValidator()
-        self._validators["visible"] = v_error_y.VisibleValidator()
-        self._validators["width"] = v_error_y.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ErrorX(_BaseTraceHierarchyType):
-
-    # array
-    # -----
-    @property
-    def array(self):
-        """
-        Sets the data corresponding the length of each error bar.
-        Values are plotted relative to the underlying data.
-    
-        The 'array' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["array"]
-
-    @array.setter
-    def array(self, val):
-        self["array"] = val
-
-    # arrayminus
-    # ----------
-    @property
-    def arrayminus(self):
-        """
-        Sets the data corresponding the length of each error bar in the
-        bottom (left) direction for vertical (horizontal) bars Values
-        are plotted relative to the underlying data.
-    
-        The 'arrayminus' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["arrayminus"]
-
-    @arrayminus.setter
-    def arrayminus(self, val):
-        self["arrayminus"] = val
-
-    # arrayminussrc
-    # -------------
-    @property
-    def arrayminussrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  arrayminus
-        .
-    
-        The 'arrayminussrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arrayminussrc"]
-
-    @arrayminussrc.setter
-    def arrayminussrc(self, val):
-        self["arrayminussrc"] = val
-
-    # arraysrc
-    # --------
-    @property
-    def arraysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  array .
-    
-        The 'arraysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["arraysrc"]
-
-    @arraysrc.setter
-    def arraysrc(self, val):
-        self["arraysrc"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the stoke color of the error bars.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # copy_ystyle
-    # -----------
-    @property
-    def copy_ystyle(self):
-        """
-        The 'copy_ystyle' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["copy_ystyle"]
-
-    @copy_ystyle.setter
-    def copy_ystyle(self, val):
-        self["copy_ystyle"] = val
-
-    # symmetric
-    # ---------
-    @property
-    def symmetric(self):
-        """
-        Determines whether or not the error bars have the same length
-        in both direction (top/bottom for vertical bars, left/right for
-        horizontal bars.
-    
-        The 'symmetric' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["symmetric"]
-
-    @symmetric.setter
-    def symmetric(self, val):
-        self["symmetric"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness (in px) of the error bars.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # traceref
-    # --------
-    @property
-    def traceref(self):
-        """
-        The 'traceref' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["traceref"]
-
-    @traceref.setter
-    def traceref(self, val):
-        self["traceref"] = val
-
-    # tracerefminus
-    # -------------
-    @property
-    def tracerefminus(self):
-        """
-        The 'tracerefminus' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["tracerefminus"]
-
-    @tracerefminus.setter
-    def tracerefminus(self, val):
-        self["tracerefminus"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Determines the rule used to generate the error bars. If
-        *constant`, the bar lengths are of a constant value. Set this
-        constant in `value`. If "percent", the bar lengths correspond
-        to a percentage of underlying data. Set this percentage in
-        `value`. If "sqrt", the bar lengths correspond to the sqaure of
-        the underlying data. If "data", the bar lengths are set with
-        data set `array`.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['percent', 'constant', 'sqrt', 'data']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars.
-    
-        The 'value' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # valueminus
-    # ----------
-    @property
-    def valueminus(self):
-        """
-        Sets the value of either the percentage (if `type` is set to
-        "percent") or the constant (if `type` is set to "constant")
-        corresponding to the lengths of the error bars in the bottom
-        (left) direction for vertical (horizontal) bars
-    
-        The 'valueminus' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["valueminus"]
-
-    @valueminus.setter
-    def valueminus(self, val):
-        self["valueminus"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this set of error bars is visible.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the cross-bar at both ends of the
-        error bars.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        array=None,
-        arrayminus=None,
-        arrayminussrc=None,
-        arraysrc=None,
-        color=None,
-        copy_ystyle=None,
-        symmetric=None,
-        thickness=None,
-        traceref=None,
-        tracerefminus=None,
-        type=None,
-        value=None,
-        valueminus=None,
-        visible=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new ErrorX object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.ErrorX`
-        array
-            Sets the data corresponding the length of each error
-            bar. Values are plotted relative to the underlying
-            data.
-        arrayminus
-            Sets the data corresponding the length of each error
-            bar in the bottom (left) direction for vertical
-            (horizontal) bars Values are plotted relative to the
-            underlying data.
-        arrayminussrc
-            Sets the source reference on Chart Studio Cloud for
-            arrayminus .
-        arraysrc
-            Sets the source reference on Chart Studio Cloud for
-            array .
-        color
-            Sets the stoke color of the error bars.
-        copy_ystyle
-
-        symmetric
-            Determines whether or not the error bars have the same
-            length in both direction (top/bottom for vertical bars,
-            left/right for horizontal bars.
-        thickness
-            Sets the thickness (in px) of the error bars.
-        traceref
-
-        tracerefminus
-
-        type
-            Determines the rule used to generate the error bars. If
-            *constant`, the bar lengths are of a constant value.
-            Set this constant in `value`. If "percent", the bar
-            lengths correspond to a percentage of underlying data.
-            Set this percentage in `value`. If "sqrt", the bar
-            lengths correspond to the sqaure of the underlying
-            data. If "data", the bar lengths are set with data set
-            `array`.
-        value
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars.
-        valueminus
-            Sets the value of either the percentage (if `type` is
-            set to "percent") or the constant (if `type` is set to
-            "constant") corresponding to the lengths of the error
-            bars in the bottom (left) direction for vertical
-            (horizontal) bars
-        visible
-            Determines whether or not this set of error bars is
-            visible.
-        width
-            Sets the width (in px) of the cross-bar at both ends of
-            the error bars.
-
-        Returns
-        -------
-        ErrorX
-        """
-        super(ErrorX, self).__init__("error_x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.ErrorX 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.ErrorX`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl import error_x as v_error_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["array"] = v_error_x.ArrayValidator()
-        self._validators["arrayminus"] = v_error_x.ArrayminusValidator()
-        self._validators["arrayminussrc"] = v_error_x.ArrayminussrcValidator()
-        self._validators["arraysrc"] = v_error_x.ArraysrcValidator()
-        self._validators["color"] = v_error_x.ColorValidator()
-        self._validators["copy_ystyle"] = v_error_x.CopyYstyleValidator()
-        self._validators["symmetric"] = v_error_x.SymmetricValidator()
-        self._validators["thickness"] = v_error_x.ThicknessValidator()
-        self._validators["traceref"] = v_error_x.TracerefValidator()
-        self._validators["tracerefminus"] = v_error_x.TracerefminusValidator()
-        self._validators["type"] = v_error_x.TypeValidator()
-        self._validators["value"] = v_error_x.ValueValidator()
-        self._validators["valueminus"] = v_error_x.ValueminusValidator()
-        self._validators["visible"] = v_error_x.VisibleValidator()
-        self._validators["width"] = v_error_x.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("array", None)
-        self["array"] = array if array is not None else _v
-        _v = arg.pop("arrayminus", None)
-        self["arrayminus"] = arrayminus if arrayminus is not None else _v
-        _v = arg.pop("arrayminussrc", None)
-        self["arrayminussrc"] = arrayminussrc if arrayminussrc is not None else _v
-        _v = arg.pop("arraysrc", None)
-        self["arraysrc"] = arraysrc if arraysrc is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("copy_ystyle", None)
-        self["copy_ystyle"] = copy_ystyle if copy_ystyle is not None else _v
-        _v = arg.pop("symmetric", None)
-        self["symmetric"] = symmetric if symmetric is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("traceref", None)
-        self["traceref"] = traceref if traceref is not None else _v
-        _v = arg.pop("tracerefminus", None)
-        self["tracerefminus"] = tracerefminus if tracerefminus is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-        _v = arg.pop("valueminus", None)
-        self["valueminus"] = valueminus if valueminus is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ErrorX",
-    "ErrorY",
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scattergl import unselected
-from plotly.graph_objs.scattergl import selected
-from plotly.graph_objs.scattergl import marker
-from plotly.graph_objs.scattergl import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._error_y import ErrorY
+    from ._error_x import ErrorX
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+            "._error_y.ErrorY",
+            "._error_x.ErrorX",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_error_x.py b/packages/python/plotly/plotly/graph_objs/scattergl/_error_x.py
new file mode 100644
index 00000000000..86b8c2cd4bd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_error_x.py
@@ -0,0 +1,629 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorX(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.error_x"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "copy_ystyle",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # copy_ystyle
+    # -----------
+    @property
+    def copy_ystyle(self):
+        """
+        The 'copy_ystyle' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["copy_ystyle"]
+
+    @copy_ystyle.setter
+    def copy_ystyle(self, val):
+        self["copy_ystyle"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        copy_ystyle=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorX object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.ErrorX`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        copy_ystyle
+
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorX
+        """
+        super(ErrorX, self).__init__("error_x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.ErrorX 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.ErrorX`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("copy_ystyle", None)
+        _v = copy_ystyle if copy_ystyle is not None else _v
+        if _v is not None:
+            self["copy_ystyle"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_error_y.py b/packages/python/plotly/plotly/graph_objs/scattergl/_error_y.py
new file mode 100644
index 00000000000..b4f90aa7a20
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_error_y.py
@@ -0,0 +1,601 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ErrorY(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.error_y"
+    _valid_props = {
+        "array",
+        "arrayminus",
+        "arrayminussrc",
+        "arraysrc",
+        "color",
+        "symmetric",
+        "thickness",
+        "traceref",
+        "tracerefminus",
+        "type",
+        "value",
+        "valueminus",
+        "visible",
+        "width",
+    }
+
+    # array
+    # -----
+    @property
+    def array(self):
+        """
+        Sets the data corresponding the length of each error bar.
+        Values are plotted relative to the underlying data.
+    
+        The 'array' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["array"]
+
+    @array.setter
+    def array(self, val):
+        self["array"] = val
+
+    # arrayminus
+    # ----------
+    @property
+    def arrayminus(self):
+        """
+        Sets the data corresponding the length of each error bar in the
+        bottom (left) direction for vertical (horizontal) bars Values
+        are plotted relative to the underlying data.
+    
+        The 'arrayminus' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["arrayminus"]
+
+    @arrayminus.setter
+    def arrayminus(self, val):
+        self["arrayminus"] = val
+
+    # arrayminussrc
+    # -------------
+    @property
+    def arrayminussrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  arrayminus
+        .
+    
+        The 'arrayminussrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arrayminussrc"]
+
+    @arrayminussrc.setter
+    def arrayminussrc(self, val):
+        self["arrayminussrc"] = val
+
+    # arraysrc
+    # --------
+    @property
+    def arraysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  array .
+    
+        The 'arraysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["arraysrc"]
+
+    @arraysrc.setter
+    def arraysrc(self, val):
+        self["arraysrc"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the stoke color of the error bars.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # symmetric
+    # ---------
+    @property
+    def symmetric(self):
+        """
+        Determines whether or not the error bars have the same length
+        in both direction (top/bottom for vertical bars, left/right for
+        horizontal bars.
+    
+        The 'symmetric' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["symmetric"]
+
+    @symmetric.setter
+    def symmetric(self, val):
+        self["symmetric"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness (in px) of the error bars.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # traceref
+    # --------
+    @property
+    def traceref(self):
+        """
+        The 'traceref' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["traceref"]
+
+    @traceref.setter
+    def traceref(self, val):
+        self["traceref"] = val
+
+    # tracerefminus
+    # -------------
+    @property
+    def tracerefminus(self):
+        """
+        The 'tracerefminus' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["tracerefminus"]
+
+    @tracerefminus.setter
+    def tracerefminus(self, val):
+        self["tracerefminus"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Determines the rule used to generate the error bars. If
+        *constant`, the bar lengths are of a constant value. Set this
+        constant in `value`. If "percent", the bar lengths correspond
+        to a percentage of underlying data. Set this percentage in
+        `value`. If "sqrt", the bar lengths correspond to the sqaure of
+        the underlying data. If "data", the bar lengths are set with
+        data set `array`.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['percent', 'constant', 'sqrt', 'data']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars.
+    
+        The 'value' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # valueminus
+    # ----------
+    @property
+    def valueminus(self):
+        """
+        Sets the value of either the percentage (if `type` is set to
+        "percent") or the constant (if `type` is set to "constant")
+        corresponding to the lengths of the error bars in the bottom
+        (left) direction for vertical (horizontal) bars
+    
+        The 'valueminus' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["valueminus"]
+
+    @valueminus.setter
+    def valueminus(self, val):
+        self["valueminus"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this set of error bars is visible.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the cross-bar at both ends of the
+        error bars.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        array=None,
+        arrayminus=None,
+        arrayminussrc=None,
+        arraysrc=None,
+        color=None,
+        symmetric=None,
+        thickness=None,
+        traceref=None,
+        tracerefminus=None,
+        type=None,
+        value=None,
+        valueminus=None,
+        visible=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new ErrorY object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.ErrorY`
+        array
+            Sets the data corresponding the length of each error
+            bar. Values are plotted relative to the underlying
+            data.
+        arrayminus
+            Sets the data corresponding the length of each error
+            bar in the bottom (left) direction for vertical
+            (horizontal) bars Values are plotted relative to the
+            underlying data.
+        arrayminussrc
+            Sets the source reference on Chart Studio Cloud for
+            arrayminus .
+        arraysrc
+            Sets the source reference on Chart Studio Cloud for
+            array .
+        color
+            Sets the stoke color of the error bars.
+        symmetric
+            Determines whether or not the error bars have the same
+            length in both direction (top/bottom for vertical bars,
+            left/right for horizontal bars.
+        thickness
+            Sets the thickness (in px) of the error bars.
+        traceref
+
+        tracerefminus
+
+        type
+            Determines the rule used to generate the error bars. If
+            *constant`, the bar lengths are of a constant value.
+            Set this constant in `value`. If "percent", the bar
+            lengths correspond to a percentage of underlying data.
+            Set this percentage in `value`. If "sqrt", the bar
+            lengths correspond to the sqaure of the underlying
+            data. If "data", the bar lengths are set with data set
+            `array`.
+        value
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars.
+        valueminus
+            Sets the value of either the percentage (if `type` is
+            set to "percent") or the constant (if `type` is set to
+            "constant") corresponding to the lengths of the error
+            bars in the bottom (left) direction for vertical
+            (horizontal) bars
+        visible
+            Determines whether or not this set of error bars is
+            visible.
+        width
+            Sets the width (in px) of the cross-bar at both ends of
+            the error bars.
+
+        Returns
+        -------
+        ErrorY
+        """
+        super(ErrorY, self).__init__("error_y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.ErrorY 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.ErrorY`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("array", None)
+        _v = array if array is not None else _v
+        if _v is not None:
+            self["array"] = _v
+        _v = arg.pop("arrayminus", None)
+        _v = arrayminus if arrayminus is not None else _v
+        if _v is not None:
+            self["arrayminus"] = _v
+        _v = arg.pop("arrayminussrc", None)
+        _v = arrayminussrc if arrayminussrc is not None else _v
+        if _v is not None:
+            self["arrayminussrc"] = _v
+        _v = arg.pop("arraysrc", None)
+        _v = arraysrc if arraysrc is not None else _v
+        if _v is not None:
+            self["arraysrc"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("symmetric", None)
+        _v = symmetric if symmetric is not None else _v
+        if _v is not None:
+            self["symmetric"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("traceref", None)
+        _v = traceref if traceref is not None else _v
+        if _v is not None:
+            self["traceref"] = _v
+        _v = arg.pop("tracerefminus", None)
+        _v = tracerefminus if tracerefminus is not None else _v
+        if _v is not None:
+            self["tracerefminus"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+        _v = arg.pop("valueminus", None)
+        _v = valueminus if valueminus is not None else _v
+        if _v is not None:
+            self["valueminus"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scattergl/_hoverlabel.py
new file mode 100644
index 00000000000..77fd1542c2a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_line.py b/packages/python/plotly/plotly/graph_objs/scattergl/_line.py
new file mode 100644
index 00000000000..4a1b9ff8969
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_line.py
@@ -0,0 +1,229 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.line"
+    _valid_props = {"color", "dash", "shape", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the style of the lines.
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+
+        Returns
+        -------
+        Any
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Determines the line shape. The values correspond to step-wise
+        line shapes.
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'hv', 'vh', 'hvh', 'vhv']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the style of the lines.
+        shape
+            Determines the line shape. The values correspond to
+            step-wise line shapes.
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self, arg=None, color=None, dash=None, shape=None, width=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the style of the lines.
+        shape
+            Determines the line shape. The values correspond to
+            step-wise line shapes.
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_marker.py b/packages/python/plotly/plotly/graph_objs/scattergl/_marker.py
new file mode 100644
index 00000000000..43b1220e65f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_marker.py
@@ -0,0 +1,1362 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattergl.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    gl.marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scattergl.marker.colorbar.tickformatstopdefau
+                    lts), sets the default property values to use
+                    for elements of
+                    scattergl.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scattergl.marker.c
+                    olorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    scattergl.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scattergl.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattergl.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.scattergl.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattergl.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.scattergl.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_selected.py b/packages/python/plotly/plotly/graph_objs/scattergl/_selected.py
new file mode 100644
index 00000000000..d825045c721
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattergl.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergl.selected.Textfon
+            t` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Selected`
+        marker
+            :class:`plotly.graph_objects.scattergl.selected.Marker`
+            instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergl.selected.Textfon
+            t` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_stream.py b/packages/python/plotly/plotly/graph_objs/scattergl/_stream.py
new file mode 100644
index 00000000000..0cbe4f9830c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattergl/_textfont.py
new file mode 100644
index 00000000000..a7c10277234
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/_unselected.py b/packages/python/plotly/plotly/graph_objs/scattergl/_unselected.py
new file mode 100644
index 00000000000..7b0e920a13a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl"
+    _path_str = "scattergl.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattergl.unselected.Marke
+            r` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergl.unselected.Textf
+            ont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.Unselected`
+        marker
+            :class:`plotly.graph_objects.scattergl.unselected.Marke
+            r` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scattergl.unselected.Textf
+            ont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/__init__.py
index 106cd136de7..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/_font.py
new file mode 100644
index 00000000000..bdab242bc24
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.hoverlabel"
+    _path_str = "scattergl.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/__init__.py
index 84256bfd685..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/__init__.py
@@ -1,2510 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattergl.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scattergl.mark
-        er.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        scattergl.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scattergl.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scattergl.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattergl.marke
-            r.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rgl.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scattergl.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattergl.marker.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattergl.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scattergl.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattergl.marke
-            r.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rgl.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            scattergl.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattergl.marker.colorbar.
-            Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattergl.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            scattergl.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.scattergl.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/_colorbar.py
new file mode 100644
index 00000000000..040c7ab1e47
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/_colorbar.py
@@ -0,0 +1,1943 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.marker"
+    _path_str = "scattergl.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scattergl.mark
+        er.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        scattergl.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scattergl.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scattergl.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattergl.marke
+            r.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rgl.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scattergl.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattergl.marker.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattergl.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scattergl.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattergl.marke
+            r.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rgl.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            scattergl.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattergl.marker.colorbar.
+            Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattergl.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            scattergl.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/_line.py
new file mode 100644
index 00000000000..90a6051174f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.marker"
+    _path_str = "scattergl.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattergl.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/__init__.py
index 541a871a3c9..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattergl.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergl.mark
-            er.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergl.mark
-            er.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergl.mark
-            er.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scattergl.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..264a3aae0b4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.marker.colorbar"
+    _path_str = "scattergl.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergl.mark
+            er.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..906e54799b6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.marker.colorbar"
+    _path_str = "scattergl.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergl.mark
+            er.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_title.py
new file mode 100644
index 00000000000..ba9dec6f8c7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.marker.colorbar"
+    _path_str = "scattergl.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattergl.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergl.mark
+            er.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/__init__.py
index 3d0a8a88831..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergl.mark
-            er.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..2106c84dde7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.marker.colorbar.title"
+    _path_str = "scattergl.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergl.mark
+            er.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/selected/__init__.py
index 88c32f8d500..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattergl/selected/_marker.py
new file mode 100644
index 00000000000..bfa609ee9ee
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.selected"
+    _path_str = "scattergl.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattergl/selected/_textfont.py
new file mode 100644
index 00000000000..16da6833364
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.selected"
+    _path_str = "scattergl.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattergl/unselected/__init__.py
index 81ece2ac027..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scattergl/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattergl.unse
-            lected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattergl.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattergl.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattergl.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattergl.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattergl.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattergl/unselected/_marker.py
new file mode 100644
index 00000000000..c26b8843e0e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.unselected"
+    _path_str = "scattergl.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattergl.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattergl/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattergl/unselected/_textfont.py
new file mode 100644
index 00000000000..cff3b07df7b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattergl/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattergl.unselected"
+    _path_str = "scattergl.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattergl.unse
+            lected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattergl.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattergl.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/__init__.py
index 93115b4b011..70cc13d3d61 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/__init__.py
@@ -1,2415 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattermapbox.unselected.M
-            arker` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Unselected`
-        marker
-            :class:`plotly.graph_objects.scattermapbox.unselected.M
-            arker` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Sets the icon text font (color=mapbox.layer.paint.text-color,
-        size=mapbox.layer.layout.text-size). Has an effect only when
-        `type` is set to "symbol".
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Textfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scattermapbox.selected.Mar
-            ker` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Selected`
-        marker
-            :class:`plotly.graph_objects.scattermapbox.selected.Mar
-            ker` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scattermapbox.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    mapbox.marker.colorbar.Tickformatstop`
-                    instances or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scattermapbox.marker.colorbar.tickformatstopd
-                    efaults), sets the default property values to
-                    use for elements of
-                    scattermapbox.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scattermapbox.mark
-                    er.colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    scattermapbox.marker.colorbar.title.font
-                    instead. Sets this color bar's title font. Note
-                    that the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scattermapbox.marker.colorbar.title.side
-                    instead. Determines the location of color bar's
-                    title with respect to the color bar. Note that
-                    the title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol. Full list: https://www.mapbox.com/maki-
-        icons/ Note that the array `marker.color` and `marker.size` are
-        only available for "circle" symbols.
-    
-        The 'symbol' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattermapbox.marker.Color
-            Bar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol. Full list:
-            https://www.mapbox.com/maki-icons/ Note that the array
-            `marker.color` and `marker.size` are only available for
-            "circle" symbols.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scattermapbox.marker.Color
-            Bar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol. Full list:
-            https://www.mapbox.com/maki-icons/ Note that the array
-            `marker.color` and `marker.size` are only available for
-            "circle" symbols.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Line`
-        color
-            Sets the line color.
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scattermapbox.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scattermapbox import unselected
-from plotly.graph_objs.scattermapbox import selected
-from plotly.graph_objs.scattermapbox import marker
-from plotly.graph_objs.scattermapbox import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_hoverlabel.py
new file mode 100644
index 00000000000..f4f989976da
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_line.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_line.py
new file mode 100644
index 00000000000..eda64498827
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Line`
+        color
+            Sets the line color.
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_marker.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_marker.py
new file mode 100644
index 00000000000..de5edc696f5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_marker.py
@@ -0,0 +1,1175 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scattermapbox.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    mapbox.marker.colorbar.Tickformatstop`
+                    instances or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scattermapbox.marker.colorbar.tickformatstopd
+                    efaults), sets the default property values to
+                    use for elements of
+                    scattermapbox.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scattermapbox.mark
+                    er.colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    scattermapbox.marker.colorbar.title.font
+                    instead. Sets this color bar's title font. Note
+                    that the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scattermapbox.marker.colorbar.title.side
+                    instead. Determines the location of color bar's
+                    title with respect to the color bar. Note that
+                    the title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol. Full list: https://www.mapbox.com/maki-
+        icons/ Note that the array `marker.color` and `marker.size` are
+        only available for "circle" symbols.
+    
+        The 'symbol' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattermapbox.marker.Color
+            Bar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol. Full list:
+            https://www.mapbox.com/maki-icons/ Note that the array
+            `marker.color` and `marker.size` are only available for
+            "circle" symbols.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scattermapbox.marker.Color
+            Bar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol. Full list:
+            https://www.mapbox.com/maki-icons/ Note that the array
+            `marker.color` and `marker.size` are only available for
+            "circle" symbols.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_selected.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_selected.py
new file mode 100644
index 00000000000..2c47d66fd17
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_selected.py
@@ -0,0 +1,110 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.selected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattermapbox.selected.Mar
+            ker` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Selected`
+        marker
+            :class:`plotly.graph_objects.scattermapbox.selected.Mar
+            ker` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_stream.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_stream.py
new file mode 100644
index 00000000000..50ba16adc42
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_textfont.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_textfont.py
new file mode 100644
index 00000000000..b7cfe9e931e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_textfont.py
@@ -0,0 +1,228 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.textfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Sets the icon text font (color=mapbox.layer.paint.text-color,
+        size=mapbox.layer.layout.text-size). Has an effect only when
+        `type` is set to "symbol".
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Textfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/_unselected.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/_unselected.py
new file mode 100644
index 00000000000..9e515026e87
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/_unselected.py
@@ -0,0 +1,113 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox"
+    _path_str = "scattermapbox.unselected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scattermapbox.unselected.M
+            arker` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scattermapbox.Unselected`
+        marker
+            :class:`plotly.graph_objects.scattermapbox.unselected.M
+            arker` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/__init__.py
index ac02f8269d4..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/_font.py
new file mode 100644
index 00000000000..281e2da1ca5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.hoverlabel"
+    _path_str = "scattermapbox.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/__init__.py
index 663a167d8a0..48d0fee5e0d 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/__init__.py
@@ -1,1874 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scattermapbox.
-        marker.colorbar.tickformatstopdefaults), sets the default
-        property values to use for elements of
-        scattermapbox.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scattermapbox.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scattermapbox.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattermapbox.m
-            arker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rmapbox.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scattermapbox.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattermapbox.marker.color
-            bar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattermapbox.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scattermapbox.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scattermapbox.m
-            arker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rmapbox.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scattermapbox.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scattermapbox.marker.color
-            bar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scattermapbox.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scattermapbox.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "colorbar"]
-
-from plotly.graph_objs.scattermapbox.marker import colorbar
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/_colorbar.py
new file mode 100644
index 00000000000..40c2f9dbeff
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/_colorbar.py
@@ -0,0 +1,1945 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.marker"
+    _path_str = "scattermapbox.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scattermapbox.
+        marker.colorbar.tickformatstopdefaults), sets the default
+        property values to use for elements of
+        scattermapbox.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scattermapbox.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scattermapbox.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattermapbox.m
+            arker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rmapbox.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scattermapbox.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattermapbox.marker.color
+            bar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattermapbox.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scattermapbox.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scattermapbox.m
+            arker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rmapbox.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scattermapbox.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scattermapbox.marker.color
+            bar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scattermapbox.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scattermapbox.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/__init__.py
index a5daf11790a..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/__init__.py
@@ -1,726 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scattermapbox.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            marker.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            marker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.marker.colorbar import (
-            tickfont as v_tickfont,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scattermapbox.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..0abd4c09016
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.marker.colorbar"
+    _path_str = "scattermapbox.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            marker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..867745e51d3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.marker.colorbar"
+    _path_str = "scattermapbox.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            marker.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_title.py
new file mode 100644
index 00000000000..83a497c931f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.marker.colorbar"
+    _path_str = "scattermapbox.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scattermapbox.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/__init__.py
index 4388485df16..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            marker.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..e7546b03e1a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.marker.colorbar.title"
+    _path_str = "scattermapbox.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            marker.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/__init__.py
index e10667bcbc6..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/__init__.py
@@ -1,196 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/_marker.py
new file mode 100644
index 00000000000..0ebb77d2ff6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.selected"
+    _path_str = "scattermapbox.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/__init__.py
index b1b5488f9f1..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/__init__.py
@@ -1,205 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scattermapbox.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scattermapbox.
-            unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scattermapbox.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scattermapbox.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scattermapbox.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/_marker.py
new file mode 100644
index 00000000000..f5c2f75bfda
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scattermapbox/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scattermapbox.unselected"
+    _path_str = "scattermapbox.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scattermapbox.
+            unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scattermapbox.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scattermapbox.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/__init__.py
index 8c43793ae69..70cc13d3d61 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/__init__.py
@@ -1,2962 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatterpolar.unselected.Ma
-            rker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolar.unselected.Te
-            xtfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Unselected`
-        marker
-            :class:`plotly.graph_objects.scatterpolar.unselected.Ma
-            rker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolar.unselected.Te
-            xtfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatterpolar.selected.Mark
-            er` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolar.selected.Text
-            font` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Selected`
-        marker
-            :class:`plotly.graph_objects.scatterpolar.selected.Mark
-            er` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolar.selected.Text
-            font` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatterpolar.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    polar.marker.colorbar.Tickformatstop` instances
-                    or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scatterpolar.marker.colorbar.tickformatstopde
-                    faults), sets the default property values to
-                    use for elements of
-                    scatterpolar.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scatterpolar.marke
-                    r.colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    scatterpolar.marker.colorbar.title.font
-                    instead. Sets this color bar's title font. Note
-                    that the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scatterpolar.marker.colorbar.title.side
-                    instead. Determines the location of color bar's
-                    title with respect to the color bar. Note that
-                    the title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # gradient
-    # --------
-    @property
-    def gradient(self):
-        """
-        The 'gradient' property is an instance of Gradient
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.Gradient`
-          - A dict of string/value properties that will be passed
-            to the Gradient constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the final color of the gradient fill: the
-                    center color for radial, the right for
-                    horizontal, or the bottom for vertical.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                type
-                    Sets the type of gradient used to fill the
-                    markers
-                typesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  type .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.Gradient
-        """
-        return self["gradient"]
-
-    @gradient.setter
-    def gradient(self, val):
-        self["gradient"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # maxdisplayed
-    # ------------
-    @property
-    def maxdisplayed(self):
-        """
-        Sets a maximum number of points to be drawn on the graph. 0
-        corresponds to no limit.
-    
-        The 'maxdisplayed' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxdisplayed"]
-
-    @maxdisplayed.setter
-    def maxdisplayed(self, val):
-        self["maxdisplayed"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatterpolar.marker.ColorB
-            ar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scatterpolar.marker.Gradie
-            nt` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scatterpolar.marker.Line`
-            instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        gradient=None,
-        line=None,
-        maxdisplayed=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatterpolar.marker.ColorB
-            ar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scatterpolar.marker.Gradie
-            nt` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scatterpolar.marker.Line`
-            instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["gradient"] = v_marker.GradientValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["maxdisplayed"] = v_marker.MaxdisplayedValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("gradient", None)
-        self["gradient"] = gradient if gradient is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("maxdisplayed", None)
-        self["maxdisplayed"] = maxdisplayed if maxdisplayed is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Determines the line shape. With "spline" the lines are drawn
-        using spline interpolation. The other available values
-        correspond to step-wise line shapes.
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'spline']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Has an effect only if `shape` is set to "spline" Sets the
-        amount of smoothing. 0 corresponds to no smoothing (equivalent
-        to a "linear" shape).
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dash=None,
-        shape=None,
-        smoothing=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scatterpolar import unselected
-from plotly.graph_objs.scatterpolar import selected
-from plotly.graph_objs.scatterpolar import marker
-from plotly.graph_objs.scatterpolar import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_hoverlabel.py
new file mode 100644
index 00000000000..525c4ecac67
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_line.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_line.py
new file mode 100644
index 00000000000..1072766e959
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_line.py
@@ -0,0 +1,283 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.line"
+    _valid_props = {"color", "dash", "shape", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Determines the line shape. With "spline" the lines are drawn
+        using spline interpolation. The other available values
+        correspond to step-wise line shapes.
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'spline']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Has an effect only if `shape` is set to "spline" Sets the
+        amount of smoothing. 0 corresponds to no smoothing (equivalent
+        to a "linear" shape).
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dash=None,
+        shape=None,
+        smoothing=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_marker.py
new file mode 100644
index 00000000000..d82606e079d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_marker.py
@@ -0,0 +1,1444 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "gradient",
+        "line",
+        "maxdisplayed",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatterpolar.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    polar.marker.colorbar.Tickformatstop` instances
+                    or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scatterpolar.marker.colorbar.tickformatstopde
+                    faults), sets the default property values to
+                    use for elements of
+                    scatterpolar.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scatterpolar.marke
+                    r.colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    scatterpolar.marker.colorbar.title.font
+                    instead. Sets this color bar's title font. Note
+                    that the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scatterpolar.marker.colorbar.title.side
+                    instead. Determines the location of color bar's
+                    title with respect to the color bar. Note that
+                    the title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # gradient
+    # --------
+    @property
+    def gradient(self):
+        """
+        The 'gradient' property is an instance of Gradient
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.Gradient`
+          - A dict of string/value properties that will be passed
+            to the Gradient constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the final color of the gradient fill: the
+                    center color for radial, the right for
+                    horizontal, or the bottom for vertical.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                type
+                    Sets the type of gradient used to fill the
+                    markers
+                typesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  type .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.Gradient
+        """
+        return self["gradient"]
+
+    @gradient.setter
+    def gradient(self, val):
+        self["gradient"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # maxdisplayed
+    # ------------
+    @property
+    def maxdisplayed(self):
+        """
+        Sets a maximum number of points to be drawn on the graph. 0
+        corresponds to no limit.
+    
+        The 'maxdisplayed' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxdisplayed"]
+
+    @maxdisplayed.setter
+    def maxdisplayed(self, val):
+        self["maxdisplayed"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatterpolar.marker.ColorB
+            ar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scatterpolar.marker.Gradie
+            nt` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scatterpolar.marker.Line`
+            instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        gradient=None,
+        line=None,
+        maxdisplayed=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatterpolar.marker.ColorB
+            ar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scatterpolar.marker.Gradie
+            nt` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scatterpolar.marker.Line`
+            instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("gradient", None)
+        _v = gradient if gradient is not None else _v
+        if _v is not None:
+            self["gradient"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("maxdisplayed", None)
+        _v = maxdisplayed if maxdisplayed is not None else _v
+        if _v is not None:
+            self["maxdisplayed"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_selected.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_selected.py
new file mode 100644
index 00000000000..67e88740c07
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatterpolar.selected.Mark
+            er` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolar.selected.Text
+            font` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Selected`
+        marker
+            :class:`plotly.graph_objects.scatterpolar.selected.Mark
+            er` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolar.selected.Text
+            font` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_stream.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_stream.py
new file mode 100644
index 00000000000..573e4ce7512
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_textfont.py
new file mode 100644
index 00000000000..7ef676c7d87
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/_unselected.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/_unselected.py
new file mode 100644
index 00000000000..9de1f7ee542
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar"
+    _path_str = "scatterpolar.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatterpolar.unselected.Ma
+            rker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolar.unselected.Te
+            xtfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.Unselected`
+        marker
+            :class:`plotly.graph_objects.scatterpolar.unselected.Ma
+            rker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolar.unselected.Te
+            xtfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/__init__.py
index eb2802b6c2d..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/_font.py
new file mode 100644
index 00000000000..75740c601c6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.hoverlabel"
+    _path_str = "scatterpolar.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/__init__.py
index c9a6d2049c0..6c5711d6c09 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/__init__.py
@@ -1,2748 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatterpolar.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Gradient(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the final color of the gradient fill: the center color for
-        radial, the right for horizontal, or the bottom for vertical.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the type of gradient used to fill the markers
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radial', 'horizontal', 'vertical', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # typesrc
-    # -------
-    @property
-    def typesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  type .
-    
-        The 'typesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["typesrc"]
-
-    @typesrc.setter
-    def typesrc(self, val):
-        self["typesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
-    ):
-        """
-        Construct a new Gradient object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.marker.Gradient`
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-
-        Returns
-        -------
-        Gradient
-        """
-        super(Gradient, self).__init__("gradient")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.Gradient 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.Gradient`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker import gradient as v_gradient
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_gradient.ColorValidator()
-        self._validators["colorsrc"] = v_gradient.ColorsrcValidator()
-        self._validators["type"] = v_gradient.TypeValidator()
-        self._validators["typesrc"] = v_gradient.TypesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("typesrc", None)
-        self["typesrc"] = typesrc if typesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scatterpolar.m
-        arker.colorbar.tickformatstopdefaults), sets the default
-        property values to use for elements of
-        scatterpolar.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use scatterpolar.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use scatterpolar.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatterpolar.ma
-            rker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rpolar.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scatterpolar.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatterpolar.marker.colorb
-            ar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatterpolar.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scatterpolar.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatterpolar.ma
-            rker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rpolar.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scatterpolar.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatterpolar.marker.colorb
-            ar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatterpolar.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scatterpolar.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Gradient", "Line", "colorbar"]
-
-from plotly.graph_objs.scatterpolar.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._gradient import Gradient
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".colorbar"],
+        ["._line.Line", "._gradient.Gradient", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_colorbar.py
new file mode 100644
index 00000000000..05cb2334280
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_colorbar.py
@@ -0,0 +1,1945 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker"
+    _path_str = "scatterpolar.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scatterpolar.m
+        arker.colorbar.tickformatstopdefaults), sets the default
+        property values to use for elements of
+        scatterpolar.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use scatterpolar.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use scatterpolar.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatterpolar.ma
+            rker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rpolar.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scatterpolar.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatterpolar.marker.colorb
+            ar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatterpolar.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scatterpolar.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatterpolar.ma
+            rker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rpolar.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scatterpolar.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatterpolar.marker.colorb
+            ar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatterpolar.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scatterpolar.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_gradient.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_gradient.py
new file mode 100644
index 00000000000..a4c55884378
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_gradient.py
@@ -0,0 +1,235 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Gradient(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker"
+    _path_str = "scatterpolar.marker.gradient"
+    _valid_props = {"color", "colorsrc", "type", "typesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the final color of the gradient fill: the center color for
+        radial, the right for horizontal, or the bottom for vertical.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the type of gradient used to fill the markers
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radial', 'horizontal', 'vertical', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # typesrc
+    # -------
+    @property
+    def typesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  type .
+    
+        The 'typesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["typesrc"]
+
+    @typesrc.setter
+    def typesrc(self, val):
+        self["typesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
+    ):
+        """
+        Construct a new Gradient object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.marker.Gradient`
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+
+        Returns
+        -------
+        Gradient
+        """
+        super(Gradient, self).__init__("gradient")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.Gradient 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.Gradient`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("typesrc", None)
+        _v = typesrc if typesrc is not None else _v
+        if _v is not None:
+            self["typesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_line.py
new file mode 100644
index 00000000000..f12d4c21230
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker"
+    _path_str = "scatterpolar.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatterpolar.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/__init__.py
index d6f53546596..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/__init__.py
@@ -1,726 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolar.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.m
-            arker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.m
-            arker.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.m
-            arker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker.colorbar import (
-            tickfont as v_tickfont,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scatterpolar.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..bb4c40fada2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker.colorbar"
+    _path_str = "scatterpolar.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.m
+            arker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..47a82c384ff
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker.colorbar"
+    _path_str = "scatterpolar.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.m
+            arker.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_title.py
new file mode 100644
index 00000000000..9e4e94f0bf6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker.colorbar"
+    _path_str = "scatterpolar.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolar.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.m
+            arker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/__init__.py
index ab5c44e5453..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.m
-            arker.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..45975b85298
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.marker.colorbar.title"
+    _path_str = "scatterpolar.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.m
+            arker.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/__init__.py
index c7318d84a16..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.s
-            elected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolar.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/_marker.py
new file mode 100644
index 00000000000..008a6a4b3ea
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.selected"
+    _path_str = "scatterpolar.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolar.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/_textfont.py
new file mode 100644
index 00000000000..832f2663969
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.selected"
+    _path_str = "scatterpolar.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.s
+            elected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/__init__.py
index 67b17c7513c..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.u
-            nselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolar.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolar.u
-            nselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolar.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolar.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolar.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/_marker.py
new file mode 100644
index 00000000000..40bd6c952ab
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.unselected"
+    _path_str = "scatterpolar.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.u
+            nselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/_textfont.py
new file mode 100644
index 00000000000..4728cf042de
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolar/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolar.unselected"
+    _path_str = "scatterpolar.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolar.u
+            nselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolar.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolar.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/__init__.py
index 559f48004d0..70cc13d3d61 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/__init__.py
@@ -1,2831 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatterpolargl.unselected.
-            Marker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolargl.unselected.
-            Textfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Unselected`
-        marker
-            :class:`plotly.graph_objects.scatterpolargl.unselected.
-            Marker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolargl.unselected.
-            Textfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatterpolargl.selected.Ma
-            rker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolargl.selected.Te
-            xtfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Selected`
-        marker
-            :class:`plotly.graph_objects.scatterpolargl.selected.Ma
-            rker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterpolargl.selected.Te
-            xtfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatterpolargl.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    polargl.marker.colorbar.Tickformatstop`
-                    instances or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scatterpolargl.marker.colorbar.tickformatstop
-                    defaults), sets the default property values to
-                    use for elements of
-                    scatterpolargl.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scatterpolargl.mar
-                    ker.colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    scatterpolargl.marker.colorbar.title.font
-                    instead. Sets this color bar's title font. Note
-                    that the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scatterpolargl.marker.colorbar.title.side
-                    instead. Determines the location of color bar's
-                    title with respect to the color bar. Note that
-                    the title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatterpolargl.marker.Colo
-            rBar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.scatterpolargl.marker.Line
-            ` instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatterpolargl.marker.Colo
-            rBar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.scatterpolargl.marker.Line
-            ` instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the style of the lines.
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-
-        Returns
-        -------
-        Any
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Determines the line shape. The values correspond to step-wise
-        line shapes.
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'hv', 'vh', 'hvh', 'vhv']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the style of the lines.
-        shape
-            Determines the line shape. The values correspond to
-            step-wise line shapes.
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self, arg=None, color=None, dash=None, shape=None, width=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the style of the lines.
-        shape
-            Determines the line shape. The values correspond to
-            step-wise line shapes.
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scatterpolargl import unselected
-from plotly.graph_objs.scatterpolargl import selected
-from plotly.graph_objs.scatterpolargl import marker
-from plotly.graph_objs.scatterpolargl import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_hoverlabel.py
new file mode 100644
index 00000000000..df02614b7ce
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_line.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_line.py
new file mode 100644
index 00000000000..35cac7f03ad
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_line.py
@@ -0,0 +1,229 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.line"
+    _valid_props = {"color", "dash", "shape", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the style of the lines.
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+
+        Returns
+        -------
+        Any
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Determines the line shape. The values correspond to step-wise
+        line shapes.
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'hv', 'vh', 'hvh', 'vhv']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the style of the lines.
+        shape
+            Determines the line shape. The values correspond to
+            step-wise line shapes.
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self, arg=None, color=None, dash=None, shape=None, width=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the style of the lines.
+        shape
+            Determines the line shape. The values correspond to
+            step-wise line shapes.
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_marker.py
new file mode 100644
index 00000000000..4740989ae79
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_marker.py
@@ -0,0 +1,1362 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatterpolargl.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    polargl.marker.colorbar.Tickformatstop`
+                    instances or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scatterpolargl.marker.colorbar.tickformatstop
+                    defaults), sets the default property values to
+                    use for elements of
+                    scatterpolargl.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scatterpolargl.mar
+                    ker.colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    scatterpolargl.marker.colorbar.title.font
+                    instead. Sets this color bar's title font. Note
+                    that the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scatterpolargl.marker.colorbar.title.side
+                    instead. Determines the location of color bar's
+                    title with respect to the color bar. Note that
+                    the title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatterpolargl.marker.Colo
+            rBar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.scatterpolargl.marker.Line
+            ` instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatterpolargl.marker.Colo
+            rBar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.scatterpolargl.marker.Line
+            ` instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_selected.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_selected.py
new file mode 100644
index 00000000000..e9dc6cb9149
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatterpolargl.selected.Ma
+            rker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolargl.selected.Te
+            xtfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Selected`
+        marker
+            :class:`plotly.graph_objects.scatterpolargl.selected.Ma
+            rker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolargl.selected.Te
+            xtfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_stream.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_stream.py
new file mode 100644
index 00000000000..23f0b4f2184
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_textfont.py
new file mode 100644
index 00000000000..5a296ad0814
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/_unselected.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_unselected.py
new file mode 100644
index 00000000000..e4d9809a8d0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl"
+    _path_str = "scatterpolargl.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatterpolargl.unselected.
+            Marker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolargl.unselected.
+            Textfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.Unselected`
+        marker
+            :class:`plotly.graph_objects.scatterpolargl.unselected.
+            Marker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterpolargl.unselected.
+            Textfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/__init__.py
index 510db3444f4..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/_font.py
new file mode 100644
index 00000000000..c9da3e7b6e3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.hoverlabel"
+    _path_str = "scatterpolargl.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/__init__.py
index c1cf415eff0..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/__init__.py
@@ -1,2513 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatterpolargl.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterpolargl.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scatterpolargl
-        .marker.colorbar.tickformatstopdefaults), sets the default
-        property values to use for elements of
-        scatterpolargl.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use
-        scatterpolargl.marker.colorbar.title.font instead. Sets this
-        color bar's title font. Note that the title's font used to be
-        set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use
-        scatterpolargl.marker.colorbar.title.side instead. Determines
-        the location of color bar's title with respect to the color
-        bar. Note that the title's location used to be set by the now
-        deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatterpolargl.
-            marker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rpolargl.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scatterpolargl.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatterpolargl.marker.colo
-            rbar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatterpolargl.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scatterpolargl.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatterpolargl.
-            marker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rpolargl.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scatterpolargl.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatterpolargl.marker.colo
-            rbar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatterpolargl.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scatterpolargl.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.scatterpolargl.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_colorbar.py
new file mode 100644
index 00000000000..7a5b103fa78
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_colorbar.py
@@ -0,0 +1,1946 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.marker"
+    _path_str = "scatterpolargl.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scatterpolargl
+        .marker.colorbar.tickformatstopdefaults), sets the default
+        property values to use for elements of
+        scatterpolargl.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use
+        scatterpolargl.marker.colorbar.title.font instead. Sets this
+        color bar's title font. Note that the title's font used to be
+        set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use
+        scatterpolargl.marker.colorbar.title.side instead. Determines
+        the location of color bar's title with respect to the color
+        bar. Note that the title's location used to be set by the now
+        deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatterpolargl.
+            marker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rpolargl.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scatterpolargl.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatterpolargl.marker.colo
+            rbar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatterpolargl.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scatterpolargl.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatterpolargl.
+            marker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rpolargl.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scatterpolargl.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatterpolargl.marker.colo
+            rbar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatterpolargl.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scatterpolargl.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_line.py
new file mode 100644
index 00000000000..0922add40c7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.marker"
+    _path_str = "scatterpolargl.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatterpolargl.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterpolargl.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/__init__.py
index 2118cf63ca5..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/__init__.py
@@ -1,726 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .marker.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .marker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.marker.colorbar import (
-            tickfont as v_tickfont,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scatterpolargl.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..61595b553c0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.marker.colorbar"
+    _path_str = "scatterpolargl.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .marker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..bf390bd5594
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.marker.colorbar"
+    _path_str = "scatterpolargl.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .marker.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_title.py
new file mode 100644
index 00000000000..ce5fa57d4ea
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.marker.colorbar"
+    _path_str = "scatterpolargl.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/__init__.py
index 69dc2913076..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/__init__.py
@@ -1,232 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .marker.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.marker.colorbar.title import (
-            font as v_font,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..4dc2d2ea98a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.marker.colorbar.title"
+    _path_str = "scatterpolargl.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .marker.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/__init__.py
index 1e774cac3ba..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/_marker.py
new file mode 100644
index 00000000000..482f00ebb08
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.selected"
+    _path_str = "scatterpolargl.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/_textfont.py
new file mode 100644
index 00000000000..b59c0d33d2f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.selected"
+    _path_str = "scatterpolargl.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/__init__.py
index fd7cd672cb2..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .unselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterpolargl.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterpolargl
-            .unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterpolargl.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterpolargl.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/_marker.py
new file mode 100644
index 00000000000..385285586ed
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.unselected"
+    _path_str = "scatterpolargl.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/_textfont.py
new file mode 100644
index 00000000000..de714351065
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterpolargl/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterpolargl.unselected"
+    _path_str = "scatterpolargl.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterpolargl
+            .unselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterpolargl.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterpolargl.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/__init__.py
index e1c0235b808..70cc13d3d61 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/__init__.py
@@ -1,2962 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.unselected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.unselected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatterternary.unselected.
-            Marker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterternary.unselected.
-            Textfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Unselected`
-        marker
-            :class:`plotly.graph_objects.scatterternary.unselected.
-            Marker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterternary.unselected.
-            Textfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-        self._validators["textfont"] = v_unselected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the text font.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.selected.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the text font color of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.selected.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.scatterternary.selected.Ma
-            rker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterternary.selected.Te
-            xtfont` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Selected`
-        marker
-            :class:`plotly.graph_objects.scatterternary.selected.Ma
-            rker` instance or dict with compatible properties
-        textfont
-            :class:`plotly.graph_objects.scatterternary.selected.Te
-            xtfont` instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-        self._validators["textfont"] = v_selected.TextfontValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatterternary.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.scatter
-                    ternary.marker.colorbar.Tickformatstop`
-                    instances or dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.scatterternary.marker.colorbar.tickformatstop
-                    defaults), sets the default property values to
-                    use for elements of
-                    scatterternary.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.scatterternary.mar
-                    ker.colorbar.Title` instance or dict with
-                    compatible properties
-                titlefont
-                    Deprecated: Please use
-                    scatterternary.marker.colorbar.title.font
-                    instead. Sets this color bar's title font. Note
-                    that the title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    scatterternary.marker.colorbar.title.side
-                    instead. Determines the location of color bar's
-                    title with respect to the color bar. Note that
-                    the title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # gradient
-    # --------
-    @property
-    def gradient(self):
-        """
-        The 'gradient' property is an instance of Gradient
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.Gradient`
-          - A dict of string/value properties that will be passed
-            to the Gradient constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the final color of the gradient fill: the
-                    center color for radial, the right for
-                    horizontal, or the bottom for vertical.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                type
-                    Sets the type of gradient used to fill the
-                    markers
-                typesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  type .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.Gradient
-        """
-        return self["gradient"]
-
-    @gradient.setter
-    def gradient(self, val):
-        self["gradient"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # maxdisplayed
-    # ------------
-    @property
-    def maxdisplayed(self):
-        """
-        Sets a maximum number of points to be drawn on the graph. 0
-        corresponds to no limit.
-    
-        The 'maxdisplayed' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxdisplayed"]
-
-    @maxdisplayed.setter
-    def maxdisplayed(self, val):
-        self["maxdisplayed"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatterternary.marker.Colo
-            rBar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scatterternary.marker.Grad
-            ient` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scatterternary.marker.Line
-            ` instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        gradient=None,
-        line=None,
-        maxdisplayed=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.scatterternary.marker.Colo
-            rBar` instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        gradient
-            :class:`plotly.graph_objects.scatterternary.marker.Grad
-            ient` instance or dict with compatible properties
-        line
-            :class:`plotly.graph_objects.scatterternary.marker.Line
-            ` instance or dict with compatible properties
-        maxdisplayed
-            Sets a maximum number of points to be drawn on the
-            graph. 0 corresponds to no limit.
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["gradient"] = v_marker.GradientValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["maxdisplayed"] = v_marker.MaxdisplayedValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("gradient", None)
-        self["gradient"] = gradient if gradient is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("maxdisplayed", None)
-        self["maxdisplayed"] = maxdisplayed if maxdisplayed is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is an enumeration that may be specified as:
-          - One of the following dash styles:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
-          - A string containing a dash length list in pixels or percentages
-                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # shape
-    # -----
-    @property
-    def shape(self):
-        """
-        Determines the line shape. With "spline" the lines are drawn
-        using spline interpolation. The other available values
-        correspond to step-wise line shapes.
-    
-        The 'shape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'spline']
-
-        Returns
-        -------
-        Any
-        """
-        return self["shape"]
-
-    @shape.setter
-    def shape(self, val):
-        self["shape"] = val
-
-    # smoothing
-    # ---------
-    @property
-    def smoothing(self):
-        """
-        Has an effect only if `shape` is set to "spline" Sets the
-        amount of smoothing. 0 corresponds to no smoothing (equivalent
-        to a "linear" shape).
-    
-        The 'smoothing' property is a number and may be specified as:
-          - An int or float in the interval [0, 1.3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["smoothing"]
-
-    @smoothing.setter
-    def smoothing(self, val):
-        self["smoothing"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        dash=None,
-        shape=None,
-        smoothing=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        shape
-            Determines the line shape. With "spline" the lines are
-            drawn using spline interpolation. The other available
-            values correspond to step-wise line shapes.
-        smoothing
-            Has an effect only if `shape` is set to "spline" Sets
-            the amount of smoothing. 0 corresponds to no smoothing
-            (equivalent to a "linear" shape).
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["shape"] = v_line.ShapeValidator()
-        self._validators["smoothing"] = v_line.SmoothingValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("shape", None)
-        self["shape"] = shape if shape is not None else _v
-        _v = arg.pop("smoothing", None)
-        self["smoothing"] = smoothing if smoothing is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Textfont",
-    "Unselected",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.scatterternary import unselected
-from plotly.graph_objs.scatterternary import selected
-from plotly.graph_objs.scatterternary import marker
-from plotly.graph_objs.scatterternary import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel"],
+        [
+            "._unselected.Unselected",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_hoverlabel.py
new file mode 100644
index 00000000000..792b7e98c3e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_line.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_line.py
new file mode 100644
index 00000000000..abb1248bb7c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_line.py
@@ -0,0 +1,283 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.line"
+    _valid_props = {"color", "dash", "shape", "smoothing", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is an enumeration that may be specified as:
+          - One of the following dash styles:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
+          - A string containing a dash length list in pixels or percentages
+                (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # shape
+    # -----
+    @property
+    def shape(self):
+        """
+        Determines the line shape. With "spline" the lines are drawn
+        using spline interpolation. The other available values
+        correspond to step-wise line shapes.
+    
+        The 'shape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'spline']
+
+        Returns
+        -------
+        Any
+        """
+        return self["shape"]
+
+    @shape.setter
+    def shape(self, val):
+        self["shape"] = val
+
+    # smoothing
+    # ---------
+    @property
+    def smoothing(self):
+        """
+        Has an effect only if `shape` is set to "spline" Sets the
+        amount of smoothing. 0 corresponds to no smoothing (equivalent
+        to a "linear" shape).
+    
+        The 'smoothing' property is a number and may be specified as:
+          - An int or float in the interval [0, 1.3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["smoothing"]
+
+    @smoothing.setter
+    def smoothing(self, val):
+        self["smoothing"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        dash=None,
+        shape=None,
+        smoothing=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        shape
+            Determines the line shape. With "spline" the lines are
+            drawn using spline interpolation. The other available
+            values correspond to step-wise line shapes.
+        smoothing
+            Has an effect only if `shape` is set to "spline" Sets
+            the amount of smoothing. 0 corresponds to no smoothing
+            (equivalent to a "linear" shape).
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("shape", None)
+        _v = shape if shape is not None else _v
+        if _v is not None:
+            self["shape"] = _v
+        _v = arg.pop("smoothing", None)
+        _v = smoothing if smoothing is not None else _v
+        if _v is not None:
+            self["smoothing"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_marker.py
new file mode 100644
index 00000000000..90c1f461807
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_marker.py
@@ -0,0 +1,1444 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "gradient",
+        "line",
+        "maxdisplayed",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatterternary.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.scatter
+                    ternary.marker.colorbar.Tickformatstop`
+                    instances or dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.scatterternary.marker.colorbar.tickformatstop
+                    defaults), sets the default property values to
+                    use for elements of
+                    scatterternary.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.scatterternary.mar
+                    ker.colorbar.Title` instance or dict with
+                    compatible properties
+                titlefont
+                    Deprecated: Please use
+                    scatterternary.marker.colorbar.title.font
+                    instead. Sets this color bar's title font. Note
+                    that the title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    scatterternary.marker.colorbar.title.side
+                    instead. Determines the location of color bar's
+                    title with respect to the color bar. Note that
+                    the title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # gradient
+    # --------
+    @property
+    def gradient(self):
+        """
+        The 'gradient' property is an instance of Gradient
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.Gradient`
+          - A dict of string/value properties that will be passed
+            to the Gradient constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the final color of the gradient fill: the
+                    center color for radial, the right for
+                    horizontal, or the bottom for vertical.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                type
+                    Sets the type of gradient used to fill the
+                    markers
+                typesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  type .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.Gradient
+        """
+        return self["gradient"]
+
+    @gradient.setter
+    def gradient(self, val):
+        self["gradient"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # maxdisplayed
+    # ------------
+    @property
+    def maxdisplayed(self):
+        """
+        Sets a maximum number of points to be drawn on the graph. 0
+        corresponds to no limit.
+    
+        The 'maxdisplayed' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxdisplayed"]
+
+    @maxdisplayed.setter
+    def maxdisplayed(self, val):
+        self["maxdisplayed"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatterternary.marker.Colo
+            rBar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scatterternary.marker.Grad
+            ient` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scatterternary.marker.Line
+            ` instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        gradient=None,
+        line=None,
+        maxdisplayed=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.scatterternary.marker.Colo
+            rBar` instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        gradient
+            :class:`plotly.graph_objects.scatterternary.marker.Grad
+            ient` instance or dict with compatible properties
+        line
+            :class:`plotly.graph_objects.scatterternary.marker.Line
+            ` instance or dict with compatible properties
+        maxdisplayed
+            Sets a maximum number of points to be drawn on the
+            graph. 0 corresponds to no limit.
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("gradient", None)
+        _v = gradient if gradient is not None else _v
+        if _v is not None:
+            self["gradient"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("maxdisplayed", None)
+        _v = maxdisplayed if maxdisplayed is not None else _v
+        if _v is not None:
+            self["maxdisplayed"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_selected.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_selected.py
new file mode 100644
index 00000000000..0fb84a30430
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_selected.py
@@ -0,0 +1,146 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.selected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.selected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.selected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatterternary.selected.Ma
+            rker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterternary.selected.Te
+            xtfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Selected`
+        marker
+            :class:`plotly.graph_objects.scatterternary.selected.Ma
+            rker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterternary.selected.Te
+            xtfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_stream.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_stream.py
new file mode 100644
index 00000000000..32864046c52
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_textfont.py
new file mode 100644
index 00000000000..de98218616c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the text font.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/_unselected.py b/packages/python/plotly/plotly/graph_objs/scatterternary/_unselected.py
new file mode 100644
index 00000000000..ecabb6599f7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/_unselected.py
@@ -0,0 +1,150 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary"
+    _path_str = "scatterternary.unselected"
+    _valid_props = {"marker", "textfont"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.unselected.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the text font color of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.unselected.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.scatterternary.unselected.
+            Marker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterternary.unselected.
+            Textfont` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.Unselected`
+        marker
+            :class:`plotly.graph_objects.scatterternary.unselected.
+            Marker` instance or dict with compatible properties
+        textfont
+            :class:`plotly.graph_objects.scatterternary.unselected.
+            Textfont` instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/__init__.py
index 9225aadd0b0..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/_font.py
new file mode 100644
index 00000000000..4274bd40ba2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.hoverlabel"
+    _path_str = "scatterternary.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/__init__.py
index 2a1ebc0fff1..6c5711d6c09 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/__init__.py
@@ -1,2749 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to scatterternary.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.scatterternary.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Gradient(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the final color of the gradient fill: the center color for
-        radial, the right for horizontal, or the bottom for vertical.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the type of gradient used to fill the markers
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['radial', 'horizontal', 'vertical', 'none']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # typesrc
-    # -------
-    @property
-    def typesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  type .
-    
-        The 'typesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["typesrc"]
-
-    @typesrc.setter
-    def typesrc(self, val):
-        self["typesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
-    ):
-        """
-        Construct a new Gradient object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .marker.Gradient`
-        color
-            Sets the final color of the gradient fill: the center
-            color for radial, the right for horizontal, or the
-            bottom for vertical.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        type
-            Sets the type of gradient used to fill the markers
-        typesrc
-            Sets the source reference on Chart Studio Cloud for
-            type .
-
-        Returns
-        -------
-        Gradient
-        """
-        super(Gradient, self).__init__("gradient")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.Gradient 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.Gradient`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker import gradient as v_gradient
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_gradient.ColorValidator()
-        self._validators["colorsrc"] = v_gradient.ColorsrcValidator()
-        self._validators["type"] = v_gradient.TypeValidator()
-        self._validators["typesrc"] = v_gradient.TypesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-        _v = arg.pop("typesrc", None)
-        self["typesrc"] = typesrc if typesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.scatterternary
-        .marker.colorbar.tickformatstopdefaults), sets the default
-        property values to use for elements of
-        scatterternary.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use
-        scatterternary.marker.colorbar.title.font instead. Sets this
-        color bar's title font. Note that the title's font used to be
-        set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use
-        scatterternary.marker.colorbar.title.side instead. Determines
-        the location of color bar's title with respect to the color
-        bar. Note that the title's location used to be set by the now
-        deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatterternary.
-            marker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rternary.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scatterternary.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatterternary.marker.colo
-            rbar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatterternary.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scatterternary.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.scatterternary.
-            marker.colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.scatte
-            rternary.marker.colorbar.tickformatstopdefaults), sets
-            the default property values to use for elements of
-            scatterternary.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.scatterternary.marker.colo
-            rbar.Title` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            scatterternary.marker.colorbar.title.font instead. Sets
-            this color bar's title font. Note that the title's font
-            used to be set by the now deprecated `titlefont`
-            attribute.
-        titleside
-            Deprecated: Please use
-            scatterternary.marker.colorbar.title.side instead.
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Gradient", "Line", "colorbar"]
-
-from plotly.graph_objs.scatterternary.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._gradient import Gradient
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".colorbar"],
+        ["._line.Line", "._gradient.Gradient", "._colorbar.ColorBar"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_colorbar.py
new file mode 100644
index 00000000000..cf2328f8d8b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_colorbar.py
@@ -0,0 +1,1946 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker"
+    _path_str = "scatterternary.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.scatterternary
+        .marker.colorbar.tickformatstopdefaults), sets the default
+        property values to use for elements of
+        scatterternary.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use
+        scatterternary.marker.colorbar.title.font instead. Sets this
+        color bar's title font. Note that the title's font used to be
+        set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use
+        scatterternary.marker.colorbar.title.side instead. Determines
+        the location of color bar's title with respect to the color
+        bar. Note that the title's location used to be set by the now
+        deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatterternary.
+            marker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rternary.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scatterternary.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatterternary.marker.colo
+            rbar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatterternary.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scatterternary.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.scatterternary.
+            marker.colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.scatte
+            rternary.marker.colorbar.tickformatstopdefaults), sets
+            the default property values to use for elements of
+            scatterternary.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.scatterternary.marker.colo
+            rbar.Title` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            scatterternary.marker.colorbar.title.font instead. Sets
+            this color bar's title font. Note that the title's font
+            used to be set by the now deprecated `titlefont`
+            attribute.
+        titleside
+            Deprecated: Please use
+            scatterternary.marker.colorbar.title.side instead.
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_gradient.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_gradient.py
new file mode 100644
index 00000000000..1784ca458a0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_gradient.py
@@ -0,0 +1,235 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Gradient(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker"
+    _path_str = "scatterternary.marker.gradient"
+    _valid_props = {"color", "colorsrc", "type", "typesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the final color of the gradient fill: the center color for
+        radial, the right for horizontal, or the bottom for vertical.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the type of gradient used to fill the markers
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['radial', 'horizontal', 'vertical', 'none']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # typesrc
+    # -------
+    @property
+    def typesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  type .
+    
+        The 'typesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["typesrc"]
+
+    @typesrc.setter
+    def typesrc(self, val):
+        self["typesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, type=None, typesrc=None, **kwargs
+    ):
+        """
+        Construct a new Gradient object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .marker.Gradient`
+        color
+            Sets the final color of the gradient fill: the center
+            color for radial, the right for horizontal, or the
+            bottom for vertical.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        type
+            Sets the type of gradient used to fill the markers
+        typesrc
+            Sets the source reference on Chart Studio Cloud for
+            type .
+
+        Returns
+        -------
+        Gradient
+        """
+        super(Gradient, self).__init__("gradient")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.Gradient 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.Gradient`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+        _v = arg.pop("typesrc", None)
+        _v = typesrc if typesrc is not None else _v
+        if _v is not None:
+            self["typesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_line.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_line.py
new file mode 100644
index 00000000000..e40672d22c6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker"
+    _path_str = "scatterternary.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to scatterternary.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.scatterternary.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/__init__.py
index 508893f95f9..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/__init__.py
@@ -1,726 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.scatterternary.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .marker.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .marker.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker.colorbar import (
-            tickfont as v_tickfont,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.scatterternary.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..48b3505cd77
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker.colorbar"
+    _path_str = "scatterternary.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .marker.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..b60629137d9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker.colorbar"
+    _path_str = "scatterternary.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .marker.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_title.py
new file mode 100644
index 00000000000..f0dea443848
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker.colorbar"
+    _path_str = "scatterternary.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.scatterternary.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/__init__.py
index 291b00284ac..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/__init__.py
@@ -1,232 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .marker.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.marker.colorbar.title import (
-            font as v_font,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..2c9bdb3e412
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.marker.colorbar.title"
+    _path_str = "scatterternary.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .marker.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/selected/__init__.py
index a594966057a..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/selected/__init__.py
@@ -1,337 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .selected.Textfont`
-        color
-            Sets the text font color of selected points.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.selected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.selected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.selected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterternary/selected/_marker.py
new file mode 100644
index 00000000000..25cdd97bf97
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.selected"
+    _path_str = "scatterternary.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/selected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterternary/selected/_textfont.py
new file mode 100644
index 00000000000..c47cab5aa5c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/selected/_textfont.py
@@ -0,0 +1,137 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.selected"
+    _path_str = "scatterternary.selected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .selected.Textfont`
+        color
+            Sets the text font color of selected points.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.selected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.selected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/__init__.py
index 6457e1ca2d9..f34bc485acb 100644
--- a/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/__init__.py
@@ -1,349 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the text font color of unselected points, applied only
-        when a selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, **kwargs):
-        """
-        Construct a new Textfont object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .unselected.Textfont`
-        color
-            Sets the text font color of unselected points, applied
-            only when a selection exists.
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.unselected.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.unselected.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.unselected import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "scatterternary.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.scatterternary
-            .unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.scatterternary.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.scatterternary.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.scatterternary.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont", "._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/_marker.py
new file mode 100644
index 00000000000..6ffa0cd3244
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.unselected"
+    _path_str = "scatterternary.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/_textfont.py b/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/_textfont.py
new file mode 100644
index 00000000000..d778de1eb31
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/scatterternary/unselected/_textfont.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "scatterternary.unselected"
+    _path_str = "scatterternary.unselected.textfont"
+    _valid_props = {"color"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the text font color of unselected points, applied only
+        when a selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, **kwargs):
+        """
+        Construct a new Textfont object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.scatterternary
+            .unselected.Textfont`
+        color
+            Sets the text font color of unselected points, applied
+            only when a selection exists.
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.scatterternary.unselected.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.scatterternary.unselected.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/__init__.py
index 5550dd57508..076bc061c71 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/__init__.py
@@ -1,2657 +1,31 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.splom.unselected.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.Unselected`
-        marker
-            :class:`plotly.graph_objects.splom.unselected.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.splom.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.splom.selected.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.Selected`
-        marker
-            :class:`plotly.graph_objects.splom.selected.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if in `marker.color`is
-        set to a numerical array. In case `colorscale` is unspecified
-        or `autocolorscale` is true, the default  palette will be
-        chosen according to whether numbers in the `color` array are
-        all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.color`) or the
-        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
-        only if in `marker.color`is set to a numerical array. Defaults
-        to `false` when `marker.cmin` and `marker.cmax` are set by the
-        user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmin`
-        must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if in `marker.color`is set to a numerical array.
-        Value should have the same units as in `marker.color`. Has no
-        effect when `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.color`is set to a numerical array. Value should have
-        the same units as in `marker.color` and if set, `marker.cmax`
-        must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to splom.marker.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.splom.m
-                    arker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.splom.marker.colorbar.tickformatstopdefaults)
-                    , sets the default property values to use for
-                    elements of
-                    splom.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.splom.marker.color
-                    bar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    splom.marker.colorbar.title.font instead. Sets
-                    this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    splom.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in `marker.color`is
-        set to a numerical array. The colorscale must be an array
-        containing arrays mapping a normalized value to an rgb, rgba,
-        hex, hsl, hsv, or named color string. At minimum, a mapping for
-        the lowest (0) and highest (1) values are required. For
-        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
-        control the bounds of the colorscale in color space,
-        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
-        may be a palette name string of the following list: Greys,YlGnB
-        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
-        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                autocolorscale
-                    Determines whether the colorscale is a default
-                    palette (`autocolorscale: true`) or the palette
-                    determined by `marker.line.colorscale`. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. In case `colorscale` is
-                    unspecified or `autocolorscale` is true, the
-                    default  palette will be chosen according to
-                    whether numbers in the `color` array are all
-                    positive, all negative or mixed.
-                cauto
-                    Determines whether or not the color domain is
-                    computed with respect to the input data (here
-                    in `marker.line.color`) or the bounds set in
-                    `marker.line.cmin` and `marker.line.cmax`  Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Defaults to `false` when
-                    `marker.line.cmin` and `marker.line.cmax` are
-                    set by the user.
-                cmax
-                    Sets the upper bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmin` must be set as well.
-                cmid
-                    Sets the mid-point of the color domain by
-                    scaling `marker.line.cmin` and/or
-                    `marker.line.cmax` to be equidistant to this
-                    point. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    Value should have the same units as in
-                    `marker.line.color`. Has no effect when
-                    `marker.line.cauto` is `false`.
-                cmin
-                    Sets the lower bound of the color domain. Has
-                    an effect only if in `marker.line.color`is set
-                    to a numerical array. Value should have the
-                    same units as in `marker.line.color` and if
-                    set, `marker.line.cmax` must be set as well.
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                coloraxis
-                    Sets a reference to a shared color axis.
-                    References to these shared color axes are
-                    "coloraxis", "coloraxis2", "coloraxis3", etc.
-                    Settings for these shared color axes are set in
-                    the layout, under `layout.coloraxis`,
-                    `layout.coloraxis2`, etc. Note that multiple
-                    color scales can be linked to the same color
-                    axis.
-                colorscale
-                    Sets the colorscale. Has an effect only if in
-                    `marker.line.color`is set to a numerical array.
-                    The colorscale must be an array containing
-                    arrays mapping a normalized value to an rgb,
-                    rgba, hex, hsl, hsv, or named color string. At
-                    minimum, a mapping for the lowest (0) and
-                    highest (1) values are required. For example,
-                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                    To control the bounds of the colorscale in
-                    color space, use`marker.line.cmin` and
-                    `marker.line.cmax`. Alternatively, `colorscale`
-                    may be a palette name string of the following
-                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                    body,Earth,Electric,Viridis,Cividis.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                reversescale
-                    Reverses the color mapping if true. Has an
-                    effect only if in `marker.line.color`is set to
-                    a numerical array. If true, `marker.line.cmin`
-                    will correspond to the last color in the array
-                    and `marker.line.cmax` will correspond to the
-                    first color.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.splom.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # opacitysrc
-    # ----------
-    @property
-    def opacitysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  opacity .
-    
-        The 'opacitysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["opacitysrc"]
-
-    @opacitysrc.setter
-    def opacitysrc(self, val):
-        self["opacitysrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.color`is set to a numerical array. If true,
-        `marker.cmin` will correspond to the last color in the array
-        and `marker.cmax` will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if in `marker.color`is set to a
-        numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizemin
-    # -------
-    @property
-    def sizemin(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the minimum size (in px) of the rendered marker
-        points.
-    
-        The 'sizemin' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizemin"]
-
-    @sizemin.setter
-    def sizemin(self, val):
-        self["sizemin"] = val
-
-    # sizemode
-    # --------
-    @property
-    def sizemode(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the rule for which the data in `size` is converted
-        to pixels.
-    
-        The 'sizemode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['diameter', 'area']
-
-        Returns
-        -------
-        Any
-        """
-        return self["sizemode"]
-
-    @sizemode.setter
-    def sizemode(self, val):
-        self["sizemode"] = val
-
-    # sizeref
-    # -------
-    @property
-    def sizeref(self):
-        """
-        Has an effect only if `marker.size` is set to a numerical
-        array. Sets the scale factor used to determine the rendered
-        size of marker points. Use with `sizemin` and `sizemode`.
-    
-        The 'sizeref' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["sizeref"]
-
-    @sizeref.setter
-    def sizeref(self, val):
-        self["sizeref"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # symbolsrc
-    # ---------
-    @property
-    def symbolsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  symbol .
-    
-        The 'symbolsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["symbolsrc"]
-
-    @symbolsrc.setter
-    def symbolsrc(self, val):
-        self["symbolsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.splom.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.splom.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorbar=None,
-        colorscale=None,
-        colorsrc=None,
-        line=None,
-        opacity=None,
-        opacitysrc=None,
-        reversescale=None,
-        showscale=None,
-        size=None,
-        sizemin=None,
-        sizemode=None,
-        sizeref=None,
-        sizesrc=None,
-        symbol=None,
-        symbolsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.splom.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if in
-            `marker.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in `marker.color`)
-            or the bounds set in `marker.cmin` and `marker.cmax`
-            Has an effect only if in `marker.color`is set to a
-            numerical array. Defaults to `false` when `marker.cmin`
-            and `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmin` must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if in `marker.color`is
-            set to a numerical array. Value should have the same
-            units as in `marker.color`. Has no effect when
-            `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.color`is set to a numerical array.
-            Value should have the same units as in `marker.color`
-            and if set, `marker.cmax` must be set as well.
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.splom.marker.ColorBar`
-            instance or dict with compatible properties
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.cmin` and `marker.cmax`. Alternatively,
-            `colorscale` may be a palette name string of the
-            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
-            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-            arth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        line
-            :class:`plotly.graph_objects.splom.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        opacitysrc
-            Sets the source reference on Chart Studio Cloud for
-            opacity .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.color`is set to a numerical array. If
-            true, `marker.cmin` will correspond to the last color
-            in the array and `marker.cmax` will correspond to the
-            first color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if in `marker.color`is
-            set to a numerical array.
-        size
-            Sets the marker size (in px).
-        sizemin
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the minimum size (in px) of the
-            rendered marker points.
-        sizemode
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the rule for which the data in
-            `size` is converted to pixels.
-        sizeref
-            Has an effect only if `marker.size` is set to a
-            numerical array. Sets the scale factor used to
-            determine the rendered size of marker points. Use with
-            `sizemin` and `sizemode`.
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        symbolsrc
-            Sets the source reference on Chart Studio Cloud for
-            symbol .
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorsrc"] = v_marker.ColorsrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["opacitysrc"] = v_marker.OpacitysrcValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["sizemin"] = v_marker.SizeminValidator()
-        self._validators["sizemode"] = v_marker.SizemodeValidator()
-        self._validators["sizeref"] = v_marker.SizerefValidator()
-        self._validators["sizesrc"] = v_marker.SizesrcValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-        self._validators["symbolsrc"] = v_marker.SymbolsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("opacitysrc", None)
-        self["opacitysrc"] = opacitysrc if opacitysrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizemin", None)
-        self["sizemin"] = sizemin if sizemin is not None else _v
-        _v = arg.pop("sizemode", None)
-        self["sizemode"] = sizemode if sizemode is not None else _v
-        _v = arg.pop("sizeref", None)
-        self["sizeref"] = sizeref if sizeref is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-        _v = arg.pop("symbolsrc", None)
-        self["symbolsrc"] = symbolsrc if symbolsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.splom.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Dimension(_BaseTraceHierarchyType):
-
-    # axis
-    # ----
-    @property
-    def axis(self):
-        """
-        The 'axis' property is an instance of Axis
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.dimension.Axis`
-          - A dict of string/value properties that will be passed
-            to the Axis constructor
-    
-            Supported dict properties:
-                
-                matches
-                    Determines whether or not the x & y axes
-                    generated by this dimension match. Equivalent
-                    to setting the `matches` axis attribute in the
-                    layout with the correct axis id.
-                type
-                    Sets the axis type for this dimension's
-                    generated x and y axes. Note that the axis
-                    `type` values set in layout take precedence
-                    over this attribute.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.dimension.Axis
-        """
-        return self["axis"]
-
-    @axis.setter
-    def axis(self, val):
-        self["axis"] = val
-
-    # label
-    # -----
-    @property
-    def label(self):
-        """
-        Sets the label corresponding to this splom dimension.
-    
-        The 'label' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["label"]
-
-    @label.setter
-    def label(self, val):
-        self["label"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Sets the dimension values to be plotted.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not this dimension is shown on the graph.
-        Note that even visible false dimension contribute to the
-        default grid generate by this splom trace.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        axis
-            :class:`plotly.graph_objects.splom.dimension.Axis`
-            instance or dict with compatible properties
-        label
-            Sets the label corresponding to this splom dimension.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        values
-            Sets the dimension values to be plotted.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this dimension is shown on
-            the graph. Note that even visible false dimension
-            contribute to the default grid generate by this splom
-            trace.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        axis=None,
-        label=None,
-        name=None,
-        templateitemname=None,
-        values=None,
-        valuessrc=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Dimension object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.Dimension`
-        axis
-            :class:`plotly.graph_objects.splom.dimension.Axis`
-            instance or dict with compatible properties
-        label
-            Sets the label corresponding to this splom dimension.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        values
-            Sets the dimension values to be plotted.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        visible
-            Determines whether or not this dimension is shown on
-            the graph. Note that even visible false dimension
-            contribute to the default grid generate by this splom
-            trace.
-
-        Returns
-        -------
-        Dimension
-        """
-        super(Dimension, self).__init__("dimensions")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Dimension 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Dimension`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import dimension as v_dimension
-
-        # Initialize validators
-        # ---------------------
-        self._validators["axis"] = v_dimension.AxisValidator()
-        self._validators["label"] = v_dimension.LabelValidator()
-        self._validators["name"] = v_dimension.NameValidator()
-        self._validators["templateitemname"] = v_dimension.TemplateitemnameValidator()
-        self._validators["values"] = v_dimension.ValuesValidator()
-        self._validators["valuessrc"] = v_dimension.ValuessrcValidator()
-        self._validators["visible"] = v_dimension.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("axis", None)
-        self["axis"] = axis if axis is not None else _v
-        _v = arg.pop("label", None)
-        self["label"] = label if label is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Diagonal(_BaseTraceHierarchyType):
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines whether or not subplots on the diagonal are
-        displayed.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        visible
-            Determines whether or not subplots on the diagonal are
-            displayed.
-        """
-
-    def __init__(self, arg=None, visible=None, **kwargs):
-        """
-        Construct a new Diagonal object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.Diagonal`
-        visible
-            Determines whether or not subplots on the diagonal are
-            displayed.
-
-        Returns
-        -------
-        Diagonal
-        """
-        super(Diagonal, self).__init__("diagonal")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.Diagonal 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.Diagonal`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom import diagonal as v_diagonal
-
-        # Initialize validators
-        # ---------------------
-        self._validators["visible"] = v_diagonal.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Diagonal",
-    "Dimension",
-    "Dimension",
-    "Hoverlabel",
-    "Marker",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "dimension",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.splom import unselected
-from plotly.graph_objs.splom import selected
-from plotly.graph_objs.splom import marker
-from plotly.graph_objs.splom import hoverlabel
-from plotly.graph_objs.splom import dimension
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._marker import Marker
+    from ._hoverlabel import Hoverlabel
+    from ._dimension import Dimension
+    from ._diagonal import Diagonal
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+    from . import dimension
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel", ".dimension"],
+        [
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._marker.Marker",
+            "._hoverlabel.Hoverlabel",
+            "._dimension.Dimension",
+            "._diagonal.Diagonal",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_diagonal.py b/packages/python/plotly/plotly/graph_objs/splom/_diagonal.py
new file mode 100644
index 00000000000..1590f789453
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_diagonal.py
@@ -0,0 +1,101 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Diagonal(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.diagonal"
+    _valid_props = {"visible"}
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not subplots on the diagonal are
+        displayed.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        visible
+            Determines whether or not subplots on the diagonal are
+            displayed.
+        """
+
+    def __init__(self, arg=None, visible=None, **kwargs):
+        """
+        Construct a new Diagonal object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.Diagonal`
+        visible
+            Determines whether or not subplots on the diagonal are
+            displayed.
+
+        Returns
+        -------
+        Diagonal
+        """
+        super(Diagonal, self).__init__("diagonal")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Diagonal 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Diagonal`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_dimension.py b/packages/python/plotly/plotly/graph_objs/splom/_dimension.py
new file mode 100644
index 00000000000..aca99e28408
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_dimension.py
@@ -0,0 +1,357 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Dimension(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.dimension"
+    _valid_props = {
+        "axis",
+        "label",
+        "name",
+        "templateitemname",
+        "values",
+        "valuessrc",
+        "visible",
+    }
+
+    # axis
+    # ----
+    @property
+    def axis(self):
+        """
+        The 'axis' property is an instance of Axis
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.dimension.Axis`
+          - A dict of string/value properties that will be passed
+            to the Axis constructor
+    
+            Supported dict properties:
+                
+                matches
+                    Determines whether or not the x & y axes
+                    generated by this dimension match. Equivalent
+                    to setting the `matches` axis attribute in the
+                    layout with the correct axis id.
+                type
+                    Sets the axis type for this dimension's
+                    generated x and y axes. Note that the axis
+                    `type` values set in layout take precedence
+                    over this attribute.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.dimension.Axis
+        """
+        return self["axis"]
+
+    @axis.setter
+    def axis(self, val):
+        self["axis"] = val
+
+    # label
+    # -----
+    @property
+    def label(self):
+        """
+        Sets the label corresponding to this splom dimension.
+    
+        The 'label' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["label"]
+
+    @label.setter
+    def label(self, val):
+        self["label"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Sets the dimension values to be plotted.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines whether or not this dimension is shown on the graph.
+        Note that even visible false dimension contribute to the
+        default grid generate by this splom trace.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        axis
+            :class:`plotly.graph_objects.splom.dimension.Axis`
+            instance or dict with compatible properties
+        label
+            Sets the label corresponding to this splom dimension.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        values
+            Sets the dimension values to be plotted.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this dimension is shown on
+            the graph. Note that even visible false dimension
+            contribute to the default grid generate by this splom
+            trace.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        axis=None,
+        label=None,
+        name=None,
+        templateitemname=None,
+        values=None,
+        valuessrc=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Dimension object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.Dimension`
+        axis
+            :class:`plotly.graph_objects.splom.dimension.Axis`
+            instance or dict with compatible properties
+        label
+            Sets the label corresponding to this splom dimension.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        values
+            Sets the dimension values to be plotted.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        visible
+            Determines whether or not this dimension is shown on
+            the graph. Note that even visible false dimension
+            contribute to the default grid generate by this splom
+            trace.
+
+        Returns
+        -------
+        Dimension
+        """
+        super(Dimension, self).__init__("dimensions")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Dimension 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Dimension`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("axis", None)
+        _v = axis if axis is not None else _v
+        if _v is not None:
+            self["axis"] = _v
+        _v = arg.pop("label", None)
+        _v = label if label is not None else _v
+        if _v is not None:
+            self["label"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/splom/_hoverlabel.py
new file mode 100644
index 00000000000..43e113b1dcf
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.splom.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_marker.py b/packages/python/plotly/plotly/graph_objs/splom/_marker.py
new file mode 100644
index 00000000000..0deced99c80
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_marker.py
@@ -0,0 +1,1361 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorbar",
+        "colorscale",
+        "colorsrc",
+        "line",
+        "opacity",
+        "opacitysrc",
+        "reversescale",
+        "showscale",
+        "size",
+        "sizemin",
+        "sizemode",
+        "sizeref",
+        "sizesrc",
+        "symbol",
+        "symbolsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if in `marker.color`is
+        set to a numerical array. In case `colorscale` is unspecified
+        or `autocolorscale` is true, the default  palette will be
+        chosen according to whether numbers in the `color` array are
+        all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.color`) or the
+        bounds set in `marker.cmin` and `marker.cmax`  Has an effect
+        only if in `marker.color`is set to a numerical array. Defaults
+        to `false` when `marker.cmin` and `marker.cmax` are set by the
+        user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmin`
+        must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if in `marker.color`is set to a numerical array.
+        Value should have the same units as in `marker.color`. Has no
+        effect when `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.color`is set to a numerical array. Value should have
+        the same units as in `marker.color` and if set, `marker.cmax`
+        must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to splom.marker.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.splom.m
+                    arker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.splom.marker.colorbar.tickformatstopdefaults)
+                    , sets the default property values to use for
+                    elements of
+                    splom.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.splom.marker.color
+                    bar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    splom.marker.colorbar.title.font instead. Sets
+                    this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    splom.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in `marker.color`is
+        set to a numerical array. The colorscale must be an array
+        containing arrays mapping a normalized value to an rgb, rgba,
+        hex, hsl, hsv, or named color string. At minimum, a mapping for
+        the lowest (0) and highest (1) values are required. For
+        example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To
+        control the bounds of the colorscale in color space,
+        use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale`
+        may be a palette name string of the following list: Greys,YlGnB
+        u,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland
+        ,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                autocolorscale
+                    Determines whether the colorscale is a default
+                    palette (`autocolorscale: true`) or the palette
+                    determined by `marker.line.colorscale`. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. In case `colorscale` is
+                    unspecified or `autocolorscale` is true, the
+                    default  palette will be chosen according to
+                    whether numbers in the `color` array are all
+                    positive, all negative or mixed.
+                cauto
+                    Determines whether or not the color domain is
+                    computed with respect to the input data (here
+                    in `marker.line.color`) or the bounds set in
+                    `marker.line.cmin` and `marker.line.cmax`  Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Defaults to `false` when
+                    `marker.line.cmin` and `marker.line.cmax` are
+                    set by the user.
+                cmax
+                    Sets the upper bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmin` must be set as well.
+                cmid
+                    Sets the mid-point of the color domain by
+                    scaling `marker.line.cmin` and/or
+                    `marker.line.cmax` to be equidistant to this
+                    point. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    Value should have the same units as in
+                    `marker.line.color`. Has no effect when
+                    `marker.line.cauto` is `false`.
+                cmin
+                    Sets the lower bound of the color domain. Has
+                    an effect only if in `marker.line.color`is set
+                    to a numerical array. Value should have the
+                    same units as in `marker.line.color` and if
+                    set, `marker.line.cmax` must be set as well.
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                coloraxis
+                    Sets a reference to a shared color axis.
+                    References to these shared color axes are
+                    "coloraxis", "coloraxis2", "coloraxis3", etc.
+                    Settings for these shared color axes are set in
+                    the layout, under `layout.coloraxis`,
+                    `layout.coloraxis2`, etc. Note that multiple
+                    color scales can be linked to the same color
+                    axis.
+                colorscale
+                    Sets the colorscale. Has an effect only if in
+                    `marker.line.color`is set to a numerical array.
+                    The colorscale must be an array containing
+                    arrays mapping a normalized value to an rgb,
+                    rgba, hex, hsl, hsv, or named color string. At
+                    minimum, a mapping for the lowest (0) and
+                    highest (1) values are required. For example,
+                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                    To control the bounds of the colorscale in
+                    color space, use`marker.line.cmin` and
+                    `marker.line.cmax`. Alternatively, `colorscale`
+                    may be a palette name string of the following
+                    list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                    eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                    body,Earth,Electric,Viridis,Cividis.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                reversescale
+                    Reverses the color mapping if true. Has an
+                    effect only if in `marker.line.color`is set to
+                    a numerical array. If true, `marker.line.cmin`
+                    will correspond to the last color in the array
+                    and `marker.line.cmax` will correspond to the
+                    first color.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.splom.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # opacitysrc
+    # ----------
+    @property
+    def opacitysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  opacity .
+    
+        The 'opacitysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["opacitysrc"]
+
+    @opacitysrc.setter
+    def opacitysrc(self, val):
+        self["opacitysrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.color`is set to a numerical array. If true,
+        `marker.cmin` will correspond to the last color in the array
+        and `marker.cmax` will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if in `marker.color`is set to a
+        numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizemin
+    # -------
+    @property
+    def sizemin(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the minimum size (in px) of the rendered marker
+        points.
+    
+        The 'sizemin' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizemin"]
+
+    @sizemin.setter
+    def sizemin(self, val):
+        self["sizemin"] = val
+
+    # sizemode
+    # --------
+    @property
+    def sizemode(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the rule for which the data in `size` is converted
+        to pixels.
+    
+        The 'sizemode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['diameter', 'area']
+
+        Returns
+        -------
+        Any
+        """
+        return self["sizemode"]
+
+    @sizemode.setter
+    def sizemode(self, val):
+        self["sizemode"] = val
+
+    # sizeref
+    # -------
+    @property
+    def sizeref(self):
+        """
+        Has an effect only if `marker.size` is set to a numerical
+        array. Sets the scale factor used to determine the rendered
+        size of marker points. Use with `sizemin` and `sizemode`.
+    
+        The 'sizeref' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["sizeref"]
+
+    @sizeref.setter
+    def sizeref(self, val):
+        self["sizeref"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # symbolsrc
+    # ---------
+    @property
+    def symbolsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  symbol .
+    
+        The 'symbolsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["symbolsrc"]
+
+    @symbolsrc.setter
+    def symbolsrc(self, val):
+        self["symbolsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.splom.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.splom.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorbar=None,
+        colorscale=None,
+        colorsrc=None,
+        line=None,
+        opacity=None,
+        opacitysrc=None,
+        reversescale=None,
+        showscale=None,
+        size=None,
+        sizemin=None,
+        sizemode=None,
+        sizeref=None,
+        sizesrc=None,
+        symbol=None,
+        symbolsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.splom.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if in
+            `marker.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in `marker.color`)
+            or the bounds set in `marker.cmin` and `marker.cmax`
+            Has an effect only if in `marker.color`is set to a
+            numerical array. Defaults to `false` when `marker.cmin`
+            and `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmin` must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if in `marker.color`is
+            set to a numerical array. Value should have the same
+            units as in `marker.color`. Has no effect when
+            `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.color`is set to a numerical array.
+            Value should have the same units as in `marker.color`
+            and if set, `marker.cmax` must be set as well.
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.splom.marker.ColorBar`
+            instance or dict with compatible properties
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.cmin` and `marker.cmax`. Alternatively,
+            `colorscale` may be a palette name string of the
+            following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu
+            ,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+            arth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        line
+            :class:`plotly.graph_objects.splom.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        opacitysrc
+            Sets the source reference on Chart Studio Cloud for
+            opacity .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.color`is set to a numerical array. If
+            true, `marker.cmin` will correspond to the last color
+            in the array and `marker.cmax` will correspond to the
+            first color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if in `marker.color`is
+            set to a numerical array.
+        size
+            Sets the marker size (in px).
+        sizemin
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the minimum size (in px) of the
+            rendered marker points.
+        sizemode
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the rule for which the data in
+            `size` is converted to pixels.
+        sizeref
+            Has an effect only if `marker.size` is set to a
+            numerical array. Sets the scale factor used to
+            determine the rendered size of marker points. Use with
+            `sizemin` and `sizemode`.
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        symbolsrc
+            Sets the source reference on Chart Studio Cloud for
+            symbol .
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("opacitysrc", None)
+        _v = opacitysrc if opacitysrc is not None else _v
+        if _v is not None:
+            self["opacitysrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizemin", None)
+        _v = sizemin if sizemin is not None else _v
+        if _v is not None:
+            self["sizemin"] = _v
+        _v = arg.pop("sizemode", None)
+        _v = sizemode if sizemode is not None else _v
+        if _v is not None:
+            self["sizemode"] = _v
+        _v = arg.pop("sizeref", None)
+        _v = sizeref if sizeref is not None else _v
+        if _v is not None:
+            self["sizeref"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+        _v = arg.pop("symbolsrc", None)
+        _v = symbolsrc if symbolsrc is not None else _v
+        if _v is not None:
+            self["symbolsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_selected.py b/packages/python/plotly/plotly/graph_objs/splom/_selected.py
new file mode 100644
index 00000000000..5afc418a6c4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_selected.py
@@ -0,0 +1,110 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.selected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.splom.selected.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.Selected`
+        marker
+            :class:`plotly.graph_objects.splom.selected.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_stream.py b/packages/python/plotly/plotly/graph_objs/splom/_stream.py
new file mode 100644
index 00000000000..ce598dcc9c7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.splom.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/_unselected.py b/packages/python/plotly/plotly/graph_objs/splom/_unselected.py
new file mode 100644
index 00000000000..e08b44d5061
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/_unselected.py
@@ -0,0 +1,113 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom"
+    _path_str = "splom.unselected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.splom.unselected.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.Unselected`
+        marker
+            :class:`plotly.graph_objects.splom.unselected.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/dimension/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/dimension/__init__.py
index a3ba38a226e..464038ba05b 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/dimension/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/dimension/__init__.py
@@ -1,145 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._axis import Axis
+else:
+    from _plotly_utils.importers import relative_import
 
-class Axis(_BaseTraceHierarchyType):
-
-    # matches
-    # -------
-    @property
-    def matches(self):
-        """
-        Determines whether or not the x & y axes generated by this
-        dimension match. Equivalent to setting the `matches` axis
-        attribute in the layout with the correct axis id.
-    
-        The 'matches' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["matches"]
-
-    @matches.setter
-    def matches(self, val):
-        self["matches"] = val
-
-    # type
-    # ----
-    @property
-    def type(self):
-        """
-        Sets the axis type for this dimension's generated x and y axes.
-        Note that the axis `type` values set in layout take precedence
-        over this attribute.
-    
-        The 'type' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['linear', 'log', 'date', 'category']
-
-        Returns
-        -------
-        Any
-        """
-        return self["type"]
-
-    @type.setter
-    def type(self, val):
-        self["type"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.dimension"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        matches
-            Determines whether or not the x & y axes generated by
-            this dimension match. Equivalent to setting the
-            `matches` axis attribute in the layout with the correct
-            axis id.
-        type
-            Sets the axis type for this dimension's generated x and
-            y axes. Note that the axis `type` values set in layout
-            take precedence over this attribute.
-        """
-
-    def __init__(self, arg=None, matches=None, type=None, **kwargs):
-        """
-        Construct a new Axis object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.dimension.Axis`
-        matches
-            Determines whether or not the x & y axes generated by
-            this dimension match. Equivalent to setting the
-            `matches` axis attribute in the layout with the correct
-            axis id.
-        type
-            Sets the axis type for this dimension's generated x and
-            y axes. Note that the axis `type` values set in layout
-            take precedence over this attribute.
-
-        Returns
-        -------
-        Axis
-        """
-        super(Axis, self).__init__("axis")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.dimension.Axis 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.dimension.Axis`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.dimension import axis as v_axis
-
-        # Initialize validators
-        # ---------------------
-        self._validators["matches"] = v_axis.MatchesValidator()
-        self._validators["type"] = v_axis.TypeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("matches", None)
-        self["matches"] = matches if matches is not None else _v
-        _v = arg.pop("type", None)
-        self["type"] = type if type is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Axis"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._axis.Axis"])
diff --git a/packages/python/plotly/plotly/graph_objs/splom/dimension/_axis.py b/packages/python/plotly/plotly/graph_objs/splom/dimension/_axis.py
new file mode 100644
index 00000000000..bae8555d7d2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/dimension/_axis.py
@@ -0,0 +1,141 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Axis(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.dimension"
+    _path_str = "splom.dimension.axis"
+    _valid_props = {"matches", "type"}
+
+    # matches
+    # -------
+    @property
+    def matches(self):
+        """
+        Determines whether or not the x & y axes generated by this
+        dimension match. Equivalent to setting the `matches` axis
+        attribute in the layout with the correct axis id.
+    
+        The 'matches' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["matches"]
+
+    @matches.setter
+    def matches(self, val):
+        self["matches"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        Sets the axis type for this dimension's generated x and y axes.
+        Note that the axis `type` values set in layout take precedence
+        over this attribute.
+    
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'log', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        matches
+            Determines whether or not the x & y axes generated by
+            this dimension match. Equivalent to setting the
+            `matches` axis attribute in the layout with the correct
+            axis id.
+        type
+            Sets the axis type for this dimension's generated x and
+            y axes. Note that the axis `type` values set in layout
+            take precedence over this attribute.
+        """
+
+    def __init__(self, arg=None, matches=None, type=None, **kwargs):
+        """
+        Construct a new Axis object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.dimension.Axis`
+        matches
+            Determines whether or not the x & y axes generated by
+            this dimension match. Equivalent to setting the
+            `matches` axis attribute in the layout with the correct
+            axis id.
+        type
+            Sets the axis type for this dimension's generated x and
+            y axes. Note that the axis `type` values set in layout
+            take precedence over this attribute.
+
+        Returns
+        -------
+        Axis
+        """
+        super(Axis, self).__init__("axis")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.dimension.Axis 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.dimension.Axis`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("matches", None)
+        _v = matches if matches is not None else _v
+        if _v is not None:
+            self["matches"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/__init__.py
index 79ec4f09761..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/_font.py
new file mode 100644
index 00000000000..662fb349d3c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.hoverlabel"
+    _path_str = "splom.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/marker/__init__.py
index 535665c4cf3..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/__init__.py
@@ -1,2508 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.line.colorscale`. Has an effect only if in
-        `marker.line.color`is set to a numerical array. In case
-        `colorscale` is unspecified or `autocolorscale` is true, the
-        default  palette will be chosen according to whether numbers in
-        the `color` array are all positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here in `marker.line.color`) or the
-        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
-        effect only if in `marker.line.color`is set to a numerical
-        array. Defaults to `false` when `marker.line.cmin` and
-        `marker.line.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling
-        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
-        to this point. Has an effect only if in `marker.line.color`is
-        set to a numerical array. Value should have the same units as
-        in `marker.line.color`. Has no effect when `marker.line.cauto`
-        is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        in `marker.line.color`is set to a numerical array. Value should
-        have the same units as in `marker.line.color` and if set,
-        `marker.line.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A number that will be interpreted as a color
-            according to splom.marker.line.colorscale
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if in
-        `marker.line.color`is set to a numerical array. The colorscale
-        must be an array containing arrays mapping a normalized value
-        to an rgb, rgba, hex, hsl, hsv, or named color string. At
-        minimum, a mapping for the lowest (0) and highest (1) values
-        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
-        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
-        color space, use`marker.line.cmin` and `marker.line.cmax`.
-        Alternatively, `colorscale` may be a palette name string of the
-        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
-        ridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if in
-        `marker.line.color`is set to a numerical array. If true,
-        `marker.line.cmin` will correspond to the last color in the
-        array and `marker.line.cmax` will correspond to the first
-        color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        color=None,
-        coloraxis=None,
-        colorscale=None,
-        colorsrc=None,
-        reversescale=None,
-        width=None,
-        widthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.marker.Line`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.line.colorscale`. Has an effect only if in
-            `marker.line.color`is set to a numerical array. In case
-            `colorscale` is unspecified or `autocolorscale` is
-            true, the default  palette will be chosen according to
-            whether numbers in the `color` array are all positive,
-            all negative or mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here in
-            `marker.line.color`) or the bounds set in
-            `marker.line.cmin` and `marker.line.cmax`  Has an
-            effect only if in `marker.line.color`is set to a
-            numerical array. Defaults to `false` when
-            `marker.line.cmin` and `marker.line.cmax` are set by
-            the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmin` must
-            be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.line.cmin` and/or `marker.line.cmax` to be
-            equidistant to this point. Has an effect only if in
-            `marker.line.color`is set to a numerical array. Value
-            should have the same units as in `marker.line.color`.
-            Has no effect when `marker.line.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if in `marker.line.color`is set to a numerical
-            array. Value should have the same units as in
-            `marker.line.color` and if set, `marker.line.cmax` must
-            be set as well.
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorscale
-            Sets the colorscale. Has an effect only if in
-            `marker.line.color`is set to a numerical array. The
-            colorscale must be an array containing arrays mapping a
-            normalized value to an rgb, rgba, hex, hsl, hsv, or
-            named color string. At minimum, a mapping for the
-            lowest (0) and highest (1) values are required. For
-            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-            To control the bounds of the colorscale in color space,
-            use`marker.line.cmin` and `marker.line.cmax`.
-            Alternatively, `colorscale` may be a palette name
-            string of the following list: Greys,YlGnBu,Greens,YlOrR
-            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
-            ot,Blackbody,Earth,Electric,Viridis,Cividis.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if in `marker.line.color`is set to a numerical array.
-            If true, `marker.line.cmin` will correspond to the last
-            color in the array and `marker.line.cmax` will
-            correspond to the first color.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
-        self._validators["cauto"] = v_line.CautoValidator()
-        self._validators["cmax"] = v_line.CmaxValidator()
-        self._validators["cmid"] = v_line.CmidValidator()
-        self._validators["cmin"] = v_line.CminValidator()
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["coloraxis"] = v_line.ColoraxisValidator()
-        self._validators["colorscale"] = v_line.ColorscaleValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["reversescale"] = v_line.ReversescaleValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.splom.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.splom.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.splom.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.splom.marker.c
-        olorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        splom.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.splom.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.splom.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use splom.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use splom.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.splom.marker.co
-            lorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.splom.
-            marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            splom.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.splom.marker.colorbar.Titl
-            e` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use splom.marker.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use splom.marker.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.splom.marker.co
-            lorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.splom.
-            marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            splom.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.splom.marker.colorbar.Titl
-            e` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use splom.marker.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use splom.marker.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.splom.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/splom/marker/_colorbar.py
new file mode 100644
index 00000000000..7df3a255d7d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.marker"
+    _path_str = "splom.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.splom.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.splom.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.splom.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.splom.marker.c
+        olorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        splom.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.splom.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.splom.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use splom.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use splom.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.splom.marker.co
+            lorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.splom.
+            marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            splom.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.splom.marker.colorbar.Titl
+            e` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use splom.marker.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use splom.marker.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.splom.marker.co
+            lorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.splom.
+            marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            splom.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.splom.marker.colorbar.Titl
+            e` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use splom.marker.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use splom.marker.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/_line.py b/packages/python/plotly/plotly/graph_objs/splom/marker/_line.py
new file mode 100644
index 00000000000..538bb567a47
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/_line.py
@@ -0,0 +1,658 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.marker"
+    _path_str = "splom.marker.line"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "color",
+        "coloraxis",
+        "colorscale",
+        "colorsrc",
+        "reversescale",
+        "width",
+        "widthsrc",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.line.colorscale`. Has an effect only if in
+        `marker.line.color`is set to a numerical array. In case
+        `colorscale` is unspecified or `autocolorscale` is true, the
+        default  palette will be chosen according to whether numbers in
+        the `color` array are all positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here in `marker.line.color`) or the
+        bounds set in `marker.line.cmin` and `marker.line.cmax`  Has an
+        effect only if in `marker.line.color`is set to a numerical
+        array. Defaults to `false` when `marker.line.cmin` and
+        `marker.line.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling
+        `marker.line.cmin` and/or `marker.line.cmax` to be equidistant
+        to this point. Has an effect only if in `marker.line.color`is
+        set to a numerical array. Value should have the same units as
+        in `marker.line.color`. Has no effect when `marker.line.cauto`
+        is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        in `marker.line.color`is set to a numerical array. Value should
+        have the same units as in `marker.line.color` and if set,
+        `marker.line.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A number that will be interpreted as a color
+            according to splom.marker.line.colorscale
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if in
+        `marker.line.color`is set to a numerical array. The colorscale
+        must be an array containing arrays mapping a normalized value
+        to an rgb, rgba, hex, hsl, hsv, or named color string. At
+        minimum, a mapping for the lowest (0) and highest (1) values
+        are required. For example, `[[0, 'rgb(0,0,255)'], [1,
+        'rgb(255,0,0)']]`. To control the bounds of the colorscale in
+        color space, use`marker.line.cmin` and `marker.line.cmax`.
+        Alternatively, `colorscale` may be a palette name string of the
+        following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+        ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
+        ridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if in
+        `marker.line.color`is set to a numerical array. If true,
+        `marker.line.cmin` will correspond to the last color in the
+        array and `marker.line.cmax` will correspond to the first
+        color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        color=None,
+        coloraxis=None,
+        colorscale=None,
+        colorsrc=None,
+        reversescale=None,
+        width=None,
+        widthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.marker.Line`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.line.colorscale`. Has an effect only if in
+            `marker.line.color`is set to a numerical array. In case
+            `colorscale` is unspecified or `autocolorscale` is
+            true, the default  palette will be chosen according to
+            whether numbers in the `color` array are all positive,
+            all negative or mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here in
+            `marker.line.color`) or the bounds set in
+            `marker.line.cmin` and `marker.line.cmax`  Has an
+            effect only if in `marker.line.color`is set to a
+            numerical array. Defaults to `false` when
+            `marker.line.cmin` and `marker.line.cmax` are set by
+            the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmin` must
+            be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.line.cmin` and/or `marker.line.cmax` to be
+            equidistant to this point. Has an effect only if in
+            `marker.line.color`is set to a numerical array. Value
+            should have the same units as in `marker.line.color`.
+            Has no effect when `marker.line.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if in `marker.line.color`is set to a numerical
+            array. Value should have the same units as in
+            `marker.line.color` and if set, `marker.line.cmax` must
+            be set as well.
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorscale
+            Sets the colorscale. Has an effect only if in
+            `marker.line.color`is set to a numerical array. The
+            colorscale must be an array containing arrays mapping a
+            normalized value to an rgb, rgba, hex, hsl, hsv, or
+            named color string. At minimum, a mapping for the
+            lowest (0) and highest (1) values are required. For
+            example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+            To control the bounds of the colorscale in color space,
+            use`marker.line.cmin` and `marker.line.cmax`.
+            Alternatively, `colorscale` may be a palette name
+            string of the following list: Greys,YlGnBu,Greens,YlOrR
+            d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
+            ot,Blackbody,Earth,Electric,Viridis,Cividis.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if in `marker.line.color`is set to a numerical array.
+            If true, `marker.line.cmin` will correspond to the last
+            color in the array and `marker.line.cmax` will
+            correspond to the first color.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/__init__.py
index 6cfbbf722cf..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.splom.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.marker.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.splom.marker.c
-            olorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.splom.marker.c
-            olorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.splom.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..2b4fb494bd4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.marker.colorbar"
+    _path_str = "splom.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.splom.marker.c
+            olorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..3ff7a2de642
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.marker.colorbar"
+    _path_str = "splom.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.splom.marker.c
+            olorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_title.py
new file mode 100644
index 00000000000..89286b0bb9e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.marker.colorbar"
+    _path_str = "splom.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.splom.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.splom.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.marker.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/__init__.py
index 8043e5a6c9d..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.splom.marker.c
-            olorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..8cc4eeb26e9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.marker.colorbar.title"
+    _path_str = "splom.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.splom.marker.c
+            olorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/selected/__init__.py
index 29135de23c4..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/selected/__init__.py
@@ -1,196 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/splom/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/splom/selected/_marker.py
new file mode 100644
index 00000000000..5835486e236
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.selected"
+    _path_str = "splom.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/splom/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/splom/unselected/__init__.py
index 42f5efaff97..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/splom/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/splom/unselected/__init__.py
@@ -1,205 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "splom.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.splom.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.splom.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.splom.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.splom.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/splom/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/splom/unselected/_marker.py
new file mode 100644
index 00000000000..b2d0e31dfbf
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/splom/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.unselected"
+    _path_str = "splom.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.splom.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.splom.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.splom.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/__init__.py b/packages/python/plotly/plotly/graph_objs/streamtube/__init__.py
index 38ae38860b8..c7659748402 100644
--- a/packages/python/plotly/plotly/graph_objs/streamtube/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/__init__.py
@@ -1,3242 +1,26 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Starts(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x components of the starting position of the
-        streamtubes
-    
-        The 'x' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xsrc
-    # ----
-    @property
-    def xsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  x .
-    
-        The 'xsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["xsrc"]
-
-    @xsrc.setter
-    def xsrc(self, val):
-        self["xsrc"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y components of the starting position of the
-        streamtubes
-    
-        The 'y' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # ysrc
-    # ----
-    @property
-    def ysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  y .
-    
-        The 'ysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ysrc"]
-
-    @ysrc.setter
-    def ysrc(self, val):
-        self["ysrc"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Sets the z components of the starting position of the
-        streamtubes
-    
-        The 'z' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # zsrc
-    # ----
-    @property
-    def zsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  z .
-    
-        The 'zsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["zsrc"]
-
-    @zsrc.setter
-    def zsrc(self, val):
-        self["zsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Sets the x components of the starting position of the
-            streamtubes
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y components of the starting position of the
-            streamtubes
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z components of the starting position of the
-            streamtubes
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        x=None,
-        xsrc=None,
-        y=None,
-        ysrc=None,
-        z=None,
-        zsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Starts object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.Starts`
-        x
-            Sets the x components of the starting position of the
-            streamtubes
-        xsrc
-            Sets the source reference on Chart Studio Cloud for  x
-            .
-        y
-            Sets the y components of the starting position of the
-            streamtubes
-        ysrc
-            Sets the source reference on Chart Studio Cloud for  y
-            .
-        z
-            Sets the z components of the starting position of the
-            streamtubes
-        zsrc
-            Sets the source reference on Chart Studio Cloud for  z
-            .
-
-        Returns
-        -------
-        Starts
-        """
-        super(Starts, self).__init__("starts")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.Starts 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.Starts`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube import starts as v_starts
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_starts.XValidator()
-        self._validators["xsrc"] = v_starts.XsrcValidator()
-        self._validators["y"] = v_starts.YValidator()
-        self._validators["ysrc"] = v_starts.YsrcValidator()
-        self._validators["z"] = v_starts.ZValidator()
-        self._validators["zsrc"] = v_starts.ZsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xsrc", None)
-        self["xsrc"] = xsrc if xsrc is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("ysrc", None)
-        self["ysrc"] = ysrc if ysrc is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-        _v = arg.pop("zsrc", None)
-        self["zsrc"] = zsrc if zsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lightposition(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Numeric vector, representing the X coordinate for each vertex.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Numeric vector, representing the Y coordinate for each vertex.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Numeric vector, representing the Z coordinate for each vertex.
-    
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Lightposition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.Lightposition`
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-
-        Returns
-        -------
-        Lightposition
-        """
-        super(Lightposition, self).__init__("lightposition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.Lightposition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.Lightposition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube import lightposition as v_lightposition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_lightposition.XValidator()
-        self._validators["y"] = v_lightposition.YValidator()
-        self._validators["z"] = v_lightposition.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lighting(_BaseTraceHierarchyType):
-
-    # ambient
-    # -------
-    @property
-    def ambient(self):
-        """
-        Ambient light increases overall color visibility but can wash
-        out the image.
-    
-        The 'ambient' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ambient"]
-
-    @ambient.setter
-    def ambient(self, val):
-        self["ambient"] = val
-
-    # diffuse
-    # -------
-    @property
-    def diffuse(self):
-        """
-        Represents the extent that incident rays are reflected in a
-        range of angles.
-    
-        The 'diffuse' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["diffuse"]
-
-    @diffuse.setter
-    def diffuse(self, val):
-        self["diffuse"] = val
-
-    # facenormalsepsilon
-    # ------------------
-    @property
-    def facenormalsepsilon(self):
-        """
-        Epsilon for face normals calculation avoids math issues arising
-        from degenerate geometry.
-    
-        The 'facenormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["facenormalsepsilon"]
-
-    @facenormalsepsilon.setter
-    def facenormalsepsilon(self, val):
-        self["facenormalsepsilon"] = val
-
-    # fresnel
-    # -------
-    @property
-    def fresnel(self):
-        """
-        Represents the reflectance as a dependency of the viewing
-        angle; e.g. paper is reflective when viewing it from the edge
-        of the paper (almost 90 degrees), causing shine.
-    
-        The 'fresnel' property is a number and may be specified as:
-          - An int or float in the interval [0, 5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fresnel"]
-
-    @fresnel.setter
-    def fresnel(self, val):
-        self["fresnel"] = val
-
-    # roughness
-    # ---------
-    @property
-    def roughness(self):
-        """
-        Alters specular reflection; the rougher the surface, the wider
-        and less contrasty the shine.
-    
-        The 'roughness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roughness"]
-
-    @roughness.setter
-    def roughness(self, val):
-        self["roughness"] = val
-
-    # specular
-    # --------
-    @property
-    def specular(self):
-        """
-        Represents the level that incident rays are reflected in a
-        single direction, causing shine.
-    
-        The 'specular' property is a number and may be specified as:
-          - An int or float in the interval [0, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["specular"]
-
-    @specular.setter
-    def specular(self, val):
-        self["specular"] = val
-
-    # vertexnormalsepsilon
-    # --------------------
-    @property
-    def vertexnormalsepsilon(self):
-        """
-        Epsilon for vertex normals calculation avoids math issues
-        arising from degenerate geometry.
-    
-        The 'vertexnormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["vertexnormalsepsilon"]
-
-    @vertexnormalsepsilon.setter
-    def vertexnormalsepsilon(self, val):
-        self["vertexnormalsepsilon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        ambient=None,
-        diffuse=None,
-        facenormalsepsilon=None,
-        fresnel=None,
-        roughness=None,
-        specular=None,
-        vertexnormalsepsilon=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lighting object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.Lighting`
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-
-        Returns
-        -------
-        Lighting
-        """
-        super(Lighting, self).__init__("lighting")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.Lighting 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.Lighting`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube import lighting as v_lighting
-
-        # Initialize validators
-        # ---------------------
-        self._validators["ambient"] = v_lighting.AmbientValidator()
-        self._validators["diffuse"] = v_lighting.DiffuseValidator()
-        self._validators[
-            "facenormalsepsilon"
-        ] = v_lighting.FacenormalsepsilonValidator()
-        self._validators["fresnel"] = v_lighting.FresnelValidator()
-        self._validators["roughness"] = v_lighting.RoughnessValidator()
-        self._validators["specular"] = v_lighting.SpecularValidator()
-        self._validators[
-            "vertexnormalsepsilon"
-        ] = v_lighting.VertexnormalsepsilonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("ambient", None)
-        self["ambient"] = ambient if ambient is not None else _v
-        _v = arg.pop("diffuse", None)
-        self["diffuse"] = diffuse if diffuse is not None else _v
-        _v = arg.pop("facenormalsepsilon", None)
-        self["facenormalsepsilon"] = (
-            facenormalsepsilon if facenormalsepsilon is not None else _v
-        )
-        _v = arg.pop("fresnel", None)
-        self["fresnel"] = fresnel if fresnel is not None else _v
-        _v = arg.pop("roughness", None)
-        self["roughness"] = roughness if roughness is not None else _v
-        _v = arg.pop("specular", None)
-        self["specular"] = specular if specular is not None else _v
-        _v = arg.pop("vertexnormalsepsilon", None)
-        self["vertexnormalsepsilon"] = (
-            vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
-        )
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.streamtube.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.streamtube.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.streamtube.col
-        orbar.tickformatstopdefaults), sets the default property values
-        to use for elements of streamtube.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use streamtube.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use streamtube.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.streamtube.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.stream
-            tube.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            streamtube.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.streamtube.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use streamtube.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use streamtube.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.streamtube.colo
-            rbar.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.stream
-            tube.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            streamtube.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.streamtube.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use streamtube.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use streamtube.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Hoverlabel",
-    "Lighting",
-    "Lightposition",
-    "Starts",
-    "Stream",
-    "colorbar",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.streamtube import hoverlabel
-from plotly.graph_objs.streamtube import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._starts import Starts
+    from ._lightposition import Lightposition
+    from ._lighting import Lighting
+    from ._hoverlabel import Hoverlabel
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".colorbar"],
+        [
+            "._stream.Stream",
+            "._starts.Starts",
+            "._lightposition.Lightposition",
+            "._lighting.Lighting",
+            "._hoverlabel.Hoverlabel",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/_colorbar.py b/packages/python/plotly/plotly/graph_objs/streamtube/_colorbar.py
new file mode 100644
index 00000000000..d5a2597a20f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/_colorbar.py
@@ -0,0 +1,1939 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube"
+    _path_str = "streamtube.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.streamtube.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.streamtube.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.streamtube.col
+        orbar.tickformatstopdefaults), sets the default property values
+        to use for elements of streamtube.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use streamtube.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use streamtube.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.streamtube.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.stream
+            tube.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            streamtube.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.streamtube.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use streamtube.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use streamtube.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.streamtube.colo
+            rbar.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.stream
+            tube.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            streamtube.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.streamtube.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use streamtube.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use streamtube.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/streamtube/_hoverlabel.py
new file mode 100644
index 00000000000..a2ee816d6c3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube"
+    _path_str = "streamtube.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/_lighting.py b/packages/python/plotly/plotly/graph_objs/streamtube/_lighting.py
new file mode 100644
index 00000000000..dc10b4d447b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/_lighting.py
@@ -0,0 +1,311 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lighting(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube"
+    _path_str = "streamtube.lighting"
+    _valid_props = {
+        "ambient",
+        "diffuse",
+        "facenormalsepsilon",
+        "fresnel",
+        "roughness",
+        "specular",
+        "vertexnormalsepsilon",
+    }
+
+    # ambient
+    # -------
+    @property
+    def ambient(self):
+        """
+        Ambient light increases overall color visibility but can wash
+        out the image.
+    
+        The 'ambient' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ambient"]
+
+    @ambient.setter
+    def ambient(self, val):
+        self["ambient"] = val
+
+    # diffuse
+    # -------
+    @property
+    def diffuse(self):
+        """
+        Represents the extent that incident rays are reflected in a
+        range of angles.
+    
+        The 'diffuse' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["diffuse"]
+
+    @diffuse.setter
+    def diffuse(self, val):
+        self["diffuse"] = val
+
+    # facenormalsepsilon
+    # ------------------
+    @property
+    def facenormalsepsilon(self):
+        """
+        Epsilon for face normals calculation avoids math issues arising
+        from degenerate geometry.
+    
+        The 'facenormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["facenormalsepsilon"]
+
+    @facenormalsepsilon.setter
+    def facenormalsepsilon(self, val):
+        self["facenormalsepsilon"] = val
+
+    # fresnel
+    # -------
+    @property
+    def fresnel(self):
+        """
+        Represents the reflectance as a dependency of the viewing
+        angle; e.g. paper is reflective when viewing it from the edge
+        of the paper (almost 90 degrees), causing shine.
+    
+        The 'fresnel' property is a number and may be specified as:
+          - An int or float in the interval [0, 5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fresnel"]
+
+    @fresnel.setter
+    def fresnel(self, val):
+        self["fresnel"] = val
+
+    # roughness
+    # ---------
+    @property
+    def roughness(self):
+        """
+        Alters specular reflection; the rougher the surface, the wider
+        and less contrasty the shine.
+    
+        The 'roughness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roughness"]
+
+    @roughness.setter
+    def roughness(self, val):
+        self["roughness"] = val
+
+    # specular
+    # --------
+    @property
+    def specular(self):
+        """
+        Represents the level that incident rays are reflected in a
+        single direction, causing shine.
+    
+        The 'specular' property is a number and may be specified as:
+          - An int or float in the interval [0, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["specular"]
+
+    @specular.setter
+    def specular(self, val):
+        self["specular"] = val
+
+    # vertexnormalsepsilon
+    # --------------------
+    @property
+    def vertexnormalsepsilon(self):
+        """
+        Epsilon for vertex normals calculation avoids math issues
+        arising from degenerate geometry.
+    
+        The 'vertexnormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["vertexnormalsepsilon"]
+
+    @vertexnormalsepsilon.setter
+    def vertexnormalsepsilon(self, val):
+        self["vertexnormalsepsilon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        ambient=None,
+        diffuse=None,
+        facenormalsepsilon=None,
+        fresnel=None,
+        roughness=None,
+        specular=None,
+        vertexnormalsepsilon=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lighting object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.Lighting`
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+
+        Returns
+        -------
+        Lighting
+        """
+        super(Lighting, self).__init__("lighting")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.Lighting 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.Lighting`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("ambient", None)
+        _v = ambient if ambient is not None else _v
+        if _v is not None:
+            self["ambient"] = _v
+        _v = arg.pop("diffuse", None)
+        _v = diffuse if diffuse is not None else _v
+        if _v is not None:
+            self["diffuse"] = _v
+        _v = arg.pop("facenormalsepsilon", None)
+        _v = facenormalsepsilon if facenormalsepsilon is not None else _v
+        if _v is not None:
+            self["facenormalsepsilon"] = _v
+        _v = arg.pop("fresnel", None)
+        _v = fresnel if fresnel is not None else _v
+        if _v is not None:
+            self["fresnel"] = _v
+        _v = arg.pop("roughness", None)
+        _v = roughness if roughness is not None else _v
+        if _v is not None:
+            self["roughness"] = _v
+        _v = arg.pop("specular", None)
+        _v = specular if specular is not None else _v
+        if _v is not None:
+            self["specular"] = _v
+        _v = arg.pop("vertexnormalsepsilon", None)
+        _v = vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
+        if _v is not None:
+            self["vertexnormalsepsilon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/_lightposition.py b/packages/python/plotly/plotly/graph_objs/streamtube/_lightposition.py
new file mode 100644
index 00000000000..fc928b241a7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/_lightposition.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lightposition(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube"
+    _path_str = "streamtube.lightposition"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Numeric vector, representing the X coordinate for each vertex.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Numeric vector, representing the Y coordinate for each vertex.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Numeric vector, representing the Z coordinate for each vertex.
+    
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Lightposition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.Lightposition`
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+
+        Returns
+        -------
+        Lightposition
+        """
+        super(Lightposition, self).__init__("lightposition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.Lightposition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.Lightposition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/_starts.py b/packages/python/plotly/plotly/graph_objs/streamtube/_starts.py
new file mode 100644
index 00000000000..26b33d1b6b5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/_starts.py
@@ -0,0 +1,263 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Starts(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube"
+    _path_str = "streamtube.starts"
+    _valid_props = {"x", "xsrc", "y", "ysrc", "z", "zsrc"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x components of the starting position of the
+        streamtubes
+    
+        The 'x' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xsrc
+    # ----
+    @property
+    def xsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  x .
+    
+        The 'xsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["xsrc"]
+
+    @xsrc.setter
+    def xsrc(self, val):
+        self["xsrc"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y components of the starting position of the
+        streamtubes
+    
+        The 'y' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # ysrc
+    # ----
+    @property
+    def ysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  y .
+    
+        The 'ysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ysrc"]
+
+    @ysrc.setter
+    def ysrc(self, val):
+        self["ysrc"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Sets the z components of the starting position of the
+        streamtubes
+    
+        The 'z' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # zsrc
+    # ----
+    @property
+    def zsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  z .
+    
+        The 'zsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["zsrc"]
+
+    @zsrc.setter
+    def zsrc(self, val):
+        self["zsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Sets the x components of the starting position of the
+            streamtubes
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y components of the starting position of the
+            streamtubes
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z components of the starting position of the
+            streamtubes
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        x=None,
+        xsrc=None,
+        y=None,
+        ysrc=None,
+        z=None,
+        zsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Starts object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.Starts`
+        x
+            Sets the x components of the starting position of the
+            streamtubes
+        xsrc
+            Sets the source reference on Chart Studio Cloud for  x
+            .
+        y
+            Sets the y components of the starting position of the
+            streamtubes
+        ysrc
+            Sets the source reference on Chart Studio Cloud for  y
+            .
+        z
+            Sets the z components of the starting position of the
+            streamtubes
+        zsrc
+            Sets the source reference on Chart Studio Cloud for  z
+            .
+
+        Returns
+        -------
+        Starts
+        """
+        super(Starts, self).__init__("starts")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.Starts 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.Starts`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xsrc", None)
+        _v = xsrc if xsrc is not None else _v
+        if _v is not None:
+            self["xsrc"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("ysrc", None)
+        _v = ysrc if ysrc is not None else _v
+        if _v is not None:
+            self["ysrc"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+        _v = arg.pop("zsrc", None)
+        _v = zsrc if zsrc is not None else _v
+        if _v is not None:
+            self["zsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/_stream.py b/packages/python/plotly/plotly/graph_objs/streamtube/_stream.py
new file mode 100644
index 00000000000..e1cc7751f36
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube"
+    _path_str = "streamtube.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/__init__.py
index 3a0d0fbfdb6..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.streamtube.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.streamtube.col
-            orbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.streamtube.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_tickfont.py
new file mode 100644
index 00000000000..fbbf719a430
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube.colorbar"
+    _path_str = "streamtube.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..0895d894eef
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube.colorbar"
+    _path_str = "streamtube.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.streamtube.col
+            orbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_title.py
new file mode 100644
index 00000000000..0ff0a89c13a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube.colorbar"
+    _path_str = "streamtube.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.streamtube.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.streamtube.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/__init__.py
index 87d590d4d79..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.streamtube.col
-            orbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/_font.py
new file mode 100644
index 00000000000..204ad815d95
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube.colorbar.title"
+    _path_str = "streamtube.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.streamtube.col
+            orbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/__init__.py
index 9874c5714b6..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "streamtube.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.streamtube.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.streamtube.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.streamtube.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.streamtube.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/_font.py
new file mode 100644
index 00000000000..bcc9f33821f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/streamtube/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "streamtube.hoverlabel"
+    _path_str = "streamtube.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.streamtube.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.streamtube.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.streamtube.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/__init__.py b/packages/python/plotly/plotly/graph_objs/sunburst/__init__.py
index 1581c94c16f..130473ef6b3 100644
--- a/packages/python/plotly/plotly/graph_objs/sunburst/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/__init__.py
@@ -1,2783 +1,30 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `textinfo`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Outsidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Outsidetextfont object
-        
-        Sets the font used for `textinfo` lying outside the sector.
-        This option refers to the root of the hierarchy presented at
-        the center of a sunburst graph. Please note that if a hierarchy
-        has multiple root nodes, this option won't have any effect and
-        `insidetextfont` would be used.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Outsidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Outsidetextfont
-        """
-        super(Outsidetextfont, self).__init__("outsidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Outsidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Outsidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import outsidetextfont as v_outsidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_outsidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_outsidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_outsidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_outsidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_outsidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_outsidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if colorsis set to a
-        numerical array. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here colors) or the bounds set in
-        `marker.cmin` and `marker.cmax`  Has an effect only if colorsis
-        set to a numerical array. Defaults to `false` when
-        `marker.cmin` and `marker.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        colorsis set to a numerical array. Value should have the same
-        units as colors and if set, `marker.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if colorsis set to a numerical array. Value should
-        have the same units as colors. Has no effect when
-        `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        colorsis set to a numerical array. Value should have the same
-        units as colors and if set, `marker.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.sunburs
-                    t.marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.sunburst.marker.colorbar.tickformatstopdefaul
-                    ts), sets the default property values to use
-                    for elements of
-                    sunburst.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.sunburst.marker.co
-                    lorbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    sunburst.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    sunburst.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colors
-    # ------
-    @property
-    def colors(self):
-        """
-        Sets the color of each sector of this trace. If not specified,
-        the default trace color set is used to pick the sector colors.
-    
-        The 'colors' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["colors"]
-
-    @colors.setter
-    def colors(self, val):
-        self["colors"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if colorsis set to a
-        numerical array. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`marker.cmin` and
-        `marker.cmax`. Alternatively, `colorscale` may be a palette
-        name string of the following list: Greys,YlGnBu,Greens,YlOrRd,B
-        luered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbod
-        y,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorssrc
-    # ---------
-    @property
-    def colorssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  colors .
-    
-        The 'colorssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorssrc"]
-
-    @colorssrc.setter
-    def colorssrc(self, val):
-        self["colorssrc"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the line enclosing each
-                    sector. Defaults to the `paper_bgcolor` value.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the line enclosing
-                    each sector.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if
-        colorsis set to a numerical array. If true, `marker.cmin` will
-        correspond to the last color in the array and `marker.cmax`
-        will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if colorsis set to a numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if colorsis set
-            to a numerical array. In case `colorscale` is
-            unspecified or `autocolorscale` is true, the default
-            palette will be chosen according to whether numbers in
-            the `color` array are all positive, all negative or
-            mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here colors) or the
-            bounds set in `marker.cmin` and `marker.cmax`  Has an
-            effect only if colorsis set to a numerical array.
-            Defaults to `false` when `marker.cmin` and
-            `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if colorsis set to a
-            numerical array. Value should have the same units as
-            colors. Has no effect when `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.sunburst.marker.ColorBar`
-            instance or dict with compatible properties
-        colors
-            Sets the color of each sector of this trace. If not
-            specified, the default trace color set is used to pick
-            the sector colors.
-        colorscale
-            Sets the colorscale. Has an effect only if colorsis set
-            to a numerical array. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`marker.cmin` and
-            `marker.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        line
-            :class:`plotly.graph_objects.sunburst.marker.Line`
-            instance or dict with compatible properties
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if colorsis set to a numerical array. If true,
-            `marker.cmin` will correspond to the last color in the
-            array and `marker.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if colorsis set to a
-            numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colors=None,
-        colorscale=None,
-        colorssrc=None,
-        line=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if colorsis set
-            to a numerical array. In case `colorscale` is
-            unspecified or `autocolorscale` is true, the default
-            palette will be chosen according to whether numbers in
-            the `color` array are all positive, all negative or
-            mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here colors) or the
-            bounds set in `marker.cmin` and `marker.cmax`  Has an
-            effect only if colorsis set to a numerical array.
-            Defaults to `false` when `marker.cmin` and
-            `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if colorsis set to a
-            numerical array. Value should have the same units as
-            colors. Has no effect when `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.sunburst.marker.ColorBar`
-            instance or dict with compatible properties
-        colors
-            Sets the color of each sector of this trace. If not
-            specified, the default trace color set is used to pick
-            the sector colors.
-        colorscale
-            Sets the colorscale. Has an effect only if colorsis set
-            to a numerical array. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`marker.cmin` and
-            `marker.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        line
-            :class:`plotly.graph_objects.sunburst.marker.Line`
-            instance or dict with compatible properties
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if colorsis set to a numerical array. If true,
-            `marker.cmin` will correspond to the last color in the
-            array and `marker.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if colorsis set to a
-            numerical array.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colors"] = v_marker.ColorsValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorssrc"] = v_marker.ColorssrcValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colors", None)
-        self["colors"] = colors if colors is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorssrc", None)
-        self["colorssrc"] = colorssrc if colorssrc is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Leaf(_BaseTraceHierarchyType):
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the opacity of the leaves. With colorscale it is defaulted
-        to 1; otherwise it is defaulted to 0.7
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        opacity
-            Sets the opacity of the leaves. With colorscale it is
-            defaulted to 1; otherwise it is defaulted to 0.7
-        """
-
-    def __init__(self, arg=None, opacity=None, **kwargs):
-        """
-        Construct a new Leaf object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sunburst.Leaf`
-        opacity
-            Sets the opacity of the leaves. With colorscale it is
-            defaulted to 1; otherwise it is defaulted to 0.7
-
-        Returns
-        -------
-        Leaf
-        """
-        super(Leaf, self).__init__("leaf")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Leaf 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Leaf`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import leaf as v_leaf
-
-        # Initialize validators
-        # ---------------------
-        self._validators["opacity"] = v_leaf.OpacityValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `textinfo` lying inside the sector.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this sunburst trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this sunburst trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this sunburst trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this sunburst trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this sunburst trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this sunburst trace .
-        x
-            Sets the horizontal domain of this sunburst trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this sunburst trace (in
-            plot fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this sunburst trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this sunburst trace .
-        x
-            Sets the horizontal domain of this sunburst trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this sunburst trace (in
-            plot fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Domain",
-    "Hoverlabel",
-    "Insidetextfont",
-    "Leaf",
-    "Marker",
-    "Outsidetextfont",
-    "Stream",
-    "Textfont",
-    "hoverlabel",
-    "marker",
-]
-
-from plotly.graph_objs.sunburst import marker
-from plotly.graph_objs.sunburst import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._outsidetextfont import Outsidetextfont
+    from ._marker import Marker
+    from ._leaf import Leaf
+    from ._insidetextfont import Insidetextfont
+    from ._hoverlabel import Hoverlabel
+    from ._domain import Domain
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".marker", ".hoverlabel"],
+        [
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._outsidetextfont.Outsidetextfont",
+            "._marker.Marker",
+            "._leaf.Leaf",
+            "._insidetextfont.Insidetextfont",
+            "._hoverlabel.Hoverlabel",
+            "._domain.Domain",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_domain.py b/packages/python/plotly/plotly/graph_objs/sunburst/_domain.py
new file mode 100644
index 00000000000..b811b5673f9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this sunburst trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this sunburst trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this sunburst trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this sunburst trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this sunburst trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this sunburst trace .
+        x
+            Sets the horizontal domain of this sunburst trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this sunburst trace (in
+            plot fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this sunburst trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this sunburst trace .
+        x
+            Sets the horizontal domain of this sunburst trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this sunburst trace (in
+            plot fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/sunburst/_hoverlabel.py
new file mode 100644
index 00000000000..8b46d605611
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/sunburst/_insidetextfont.py
new file mode 100644
index 00000000000..a380226fc21
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `textinfo` lying inside the sector.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_leaf.py b/packages/python/plotly/plotly/graph_objs/sunburst/_leaf.py
new file mode 100644
index 00000000000..369e37316bd
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_leaf.py
@@ -0,0 +1,100 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Leaf(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.leaf"
+    _valid_props = {"opacity"}
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the opacity of the leaves. With colorscale it is defaulted
+        to 1; otherwise it is defaulted to 0.7
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        opacity
+            Sets the opacity of the leaves. With colorscale it is
+            defaulted to 1; otherwise it is defaulted to 0.7
+        """
+
+    def __init__(self, arg=None, opacity=None, **kwargs):
+        """
+        Construct a new Leaf object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sunburst.Leaf`
+        opacity
+            Sets the opacity of the leaves. With colorscale it is
+            defaulted to 1; otherwise it is defaulted to 0.7
+
+        Returns
+        -------
+        Leaf
+        """
+        super(Leaf, self).__init__("leaf")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Leaf 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Leaf`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_marker.py b/packages/python/plotly/plotly/graph_objs/sunburst/_marker.py
new file mode 100644
index 00000000000..be3bfa0a60d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_marker.py
@@ -0,0 +1,860 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colors",
+        "colorscale",
+        "colorssrc",
+        "line",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if colorsis set to a
+        numerical array. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here colors) or the bounds set in
+        `marker.cmin` and `marker.cmax`  Has an effect only if colorsis
+        set to a numerical array. Defaults to `false` when
+        `marker.cmin` and `marker.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        colorsis set to a numerical array. Value should have the same
+        units as colors and if set, `marker.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if colorsis set to a numerical array. Value should
+        have the same units as colors. Has no effect when
+        `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        colorsis set to a numerical array. Value should have the same
+        units as colors and if set, `marker.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.sunburs
+                    t.marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.sunburst.marker.colorbar.tickformatstopdefaul
+                    ts), sets the default property values to use
+                    for elements of
+                    sunburst.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.sunburst.marker.co
+                    lorbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    sunburst.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    sunburst.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colors
+    # ------
+    @property
+    def colors(self):
+        """
+        Sets the color of each sector of this trace. If not specified,
+        the default trace color set is used to pick the sector colors.
+    
+        The 'colors' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["colors"]
+
+    @colors.setter
+    def colors(self, val):
+        self["colors"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if colorsis set to a
+        numerical array. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`marker.cmin` and
+        `marker.cmax`. Alternatively, `colorscale` may be a palette
+        name string of the following list: Greys,YlGnBu,Greens,YlOrRd,B
+        luered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbod
+        y,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorssrc
+    # ---------
+    @property
+    def colorssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  colors .
+    
+        The 'colorssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorssrc"]
+
+    @colorssrc.setter
+    def colorssrc(self, val):
+        self["colorssrc"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the line enclosing each
+                    sector. Defaults to the `paper_bgcolor` value.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the line enclosing
+                    each sector.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if
+        colorsis set to a numerical array. If true, `marker.cmin` will
+        correspond to the last color in the array and `marker.cmax`
+        will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if colorsis set to a numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if colorsis set
+            to a numerical array. In case `colorscale` is
+            unspecified or `autocolorscale` is true, the default
+            palette will be chosen according to whether numbers in
+            the `color` array are all positive, all negative or
+            mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here colors) or the
+            bounds set in `marker.cmin` and `marker.cmax`  Has an
+            effect only if colorsis set to a numerical array.
+            Defaults to `false` when `marker.cmin` and
+            `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if colorsis set to a
+            numerical array. Value should have the same units as
+            colors. Has no effect when `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.sunburst.marker.ColorBar`
+            instance or dict with compatible properties
+        colors
+            Sets the color of each sector of this trace. If not
+            specified, the default trace color set is used to pick
+            the sector colors.
+        colorscale
+            Sets the colorscale. Has an effect only if colorsis set
+            to a numerical array. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`marker.cmin` and
+            `marker.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        line
+            :class:`plotly.graph_objects.sunburst.marker.Line`
+            instance or dict with compatible properties
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if colorsis set to a numerical array. If true,
+            `marker.cmin` will correspond to the last color in the
+            array and `marker.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if colorsis set to a
+            numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colors=None,
+        colorscale=None,
+        colorssrc=None,
+        line=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if colorsis set
+            to a numerical array. In case `colorscale` is
+            unspecified or `autocolorscale` is true, the default
+            palette will be chosen according to whether numbers in
+            the `color` array are all positive, all negative or
+            mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here colors) or the
+            bounds set in `marker.cmin` and `marker.cmax`  Has an
+            effect only if colorsis set to a numerical array.
+            Defaults to `false` when `marker.cmin` and
+            `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if colorsis set to a
+            numerical array. Value should have the same units as
+            colors. Has no effect when `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.sunburst.marker.ColorBar`
+            instance or dict with compatible properties
+        colors
+            Sets the color of each sector of this trace. If not
+            specified, the default trace color set is used to pick
+            the sector colors.
+        colorscale
+            Sets the colorscale. Has an effect only if colorsis set
+            to a numerical array. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`marker.cmin` and
+            `marker.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        line
+            :class:`plotly.graph_objects.sunburst.marker.Line`
+            instance or dict with compatible properties
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if colorsis set to a numerical array. If true,
+            `marker.cmin` will correspond to the last color in the
+            array and `marker.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if colorsis set to a
+            numerical array.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colors", None)
+        _v = colors if colors is not None else _v
+        if _v is not None:
+            self["colors"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorssrc", None)
+        _v = colorssrc if colorssrc is not None else _v
+        if _v is not None:
+            self["colorssrc"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_outsidetextfont.py b/packages/python/plotly/plotly/graph_objs/sunburst/_outsidetextfont.py
new file mode 100644
index 00000000000..672b16170e2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_outsidetextfont.py
@@ -0,0 +1,333 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Outsidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.outsidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Outsidetextfont object
+        
+        Sets the font used for `textinfo` lying outside the sector.
+        This option refers to the root of the hierarchy presented at
+        the center of a sunburst graph. Please note that if a hierarchy
+        has multiple root nodes, this option won't have any effect and
+        `insidetextfont` would be used.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Outsidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Outsidetextfont
+        """
+        super(Outsidetextfont, self).__init__("outsidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Outsidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Outsidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_stream.py b/packages/python/plotly/plotly/graph_objs/sunburst/_stream.py
new file mode 100644
index 00000000000..151383d6b5b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/_textfont.py b/packages/python/plotly/plotly/graph_objs/sunburst/_textfont.py
new file mode 100644
index 00000000000..10820fe6342
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst"
+    _path_str = "sunburst.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `textinfo`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/__init__.py
index 0c94fff55c4..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/_font.py
new file mode 100644
index 00000000000..131979c3087
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.hoverlabel"
+    _path_str = "sunburst.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/__init__.py
index 548f41d6cbc..b69db177a67 100644
--- a/packages/python/plotly/plotly/graph_objs/sunburst/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/__init__.py
@@ -1,2105 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the line enclosing each sector. Defaults to
-        the `paper_bgcolor` value.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the line enclosing each sector.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the line enclosing each sector.
-            Defaults to the `paper_bgcolor` value.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.marker.Line`
-        color
-            Sets the color of the line enclosing each sector.
-            Defaults to the `paper_bgcolor` value.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.sunburst.marke
-        r.colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        sunburst.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use sunburst.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use sunburst.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.sunburst.marker
-            .colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.sunbur
-            st.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            sunburst.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.sunburst.marker.colorbar.T
-            itle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            sunburst.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            sunburst.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.sunburst.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.sunburst.marker
-            .colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.sunbur
-            st.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            sunburst.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.sunburst.marker.colorbar.T
-            itle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            sunburst.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            sunburst.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "colorbar"]
-
-from plotly.graph_objs.sunburst.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/_colorbar.py
new file mode 100644
index 00000000000..e7e4b740235
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.marker"
+    _path_str = "sunburst.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.sunburst.marke
+        r.colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        sunburst.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use sunburst.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use sunburst.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.sunburst.marker
+            .colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.sunbur
+            st.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            sunburst.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.sunburst.marker.colorbar.T
+            itle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            sunburst.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            sunburst.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.sunburst.marker
+            .colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.sunbur
+            st.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            sunburst.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.sunburst.marker.colorbar.T
+            itle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            sunburst.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            sunburst.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/_line.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/_line.py
new file mode 100644
index 00000000000..1ccbf8e6471
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/_line.py
@@ -0,0 +1,234 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.marker"
+    _path_str = "sunburst.marker.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the line enclosing each sector. Defaults to
+        the `paper_bgcolor` value.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the line enclosing each sector.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the line enclosing each sector.
+            Defaults to the `paper_bgcolor` value.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.sunburst.marker.Line`
+        color
+            Sets the color of the line enclosing each sector.
+            Defaults to the `paper_bgcolor` value.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/__init__.py
index 6869e5153b6..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.sunburst.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sunburst.marke
-            r.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sunburst.marke
-            r.colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sunburst.marke
-            r.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.sunburst.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..3a7469434e6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.marker.colorbar"
+    _path_str = "sunburst.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sunburst.marke
+            r.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..ea42f6106aa
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.marker.colorbar"
+    _path_str = "sunburst.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sunburst.marke
+            r.colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_title.py
new file mode 100644
index 00000000000..67e3da40841
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.marker.colorbar"
+    _path_str = "sunburst.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.sunburst.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sunburst.marke
+            r.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/__init__.py
index 3eb70fcb079..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "sunburst.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.sunburst.marke
-            r.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.sunburst.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.sunburst.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..a3814b17371
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/sunburst/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "sunburst.marker.colorbar.title"
+    _path_str = "sunburst.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.sunburst.marke
+            r.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.sunburst.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/__init__.py
index 57f60128d88..c5746494a6e 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/__init__.py
@@ -1,3186 +1,27 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lightposition(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Numeric vector, representing the X coordinate for each vertex.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Numeric vector, representing the Y coordinate for each vertex.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Numeric vector, representing the Z coordinate for each vertex.
-    
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Lightposition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.Lightposition`
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-
-        Returns
-        -------
-        Lightposition
-        """
-        super(Lightposition, self).__init__("lightposition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.Lightposition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.Lightposition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface import lightposition as v_lightposition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_lightposition.XValidator()
-        self._validators["y"] = v_lightposition.YValidator()
-        self._validators["z"] = v_lightposition.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lighting(_BaseTraceHierarchyType):
-
-    # ambient
-    # -------
-    @property
-    def ambient(self):
-        """
-        Ambient light increases overall color visibility but can wash
-        out the image.
-    
-        The 'ambient' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ambient"]
-
-    @ambient.setter
-    def ambient(self, val):
-        self["ambient"] = val
-
-    # diffuse
-    # -------
-    @property
-    def diffuse(self):
-        """
-        Represents the extent that incident rays are reflected in a
-        range of angles.
-    
-        The 'diffuse' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["diffuse"]
-
-    @diffuse.setter
-    def diffuse(self, val):
-        self["diffuse"] = val
-
-    # fresnel
-    # -------
-    @property
-    def fresnel(self):
-        """
-        Represents the reflectance as a dependency of the viewing
-        angle; e.g. paper is reflective when viewing it from the edge
-        of the paper (almost 90 degrees), causing shine.
-    
-        The 'fresnel' property is a number and may be specified as:
-          - An int or float in the interval [0, 5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fresnel"]
-
-    @fresnel.setter
-    def fresnel(self, val):
-        self["fresnel"] = val
-
-    # roughness
-    # ---------
-    @property
-    def roughness(self):
-        """
-        Alters specular reflection; the rougher the surface, the wider
-        and less contrasty the shine.
-    
-        The 'roughness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roughness"]
-
-    @roughness.setter
-    def roughness(self, val):
-        self["roughness"] = val
-
-    # specular
-    # --------
-    @property
-    def specular(self):
-        """
-        Represents the level that incident rays are reflected in a
-        single direction, causing shine.
-    
-        The 'specular' property is a number and may be specified as:
-          - An int or float in the interval [0, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["specular"]
-
-    @specular.setter
-    def specular(self, val):
-        self["specular"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        ambient=None,
-        diffuse=None,
-        fresnel=None,
-        roughness=None,
-        specular=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lighting object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.Lighting`
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-
-        Returns
-        -------
-        Lighting
-        """
-        super(Lighting, self).__init__("lighting")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.Lighting 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.Lighting`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface import lighting as v_lighting
-
-        # Initialize validators
-        # ---------------------
-        self._validators["ambient"] = v_lighting.AmbientValidator()
-        self._validators["diffuse"] = v_lighting.DiffuseValidator()
-        self._validators["fresnel"] = v_lighting.FresnelValidator()
-        self._validators["roughness"] = v_lighting.RoughnessValidator()
-        self._validators["specular"] = v_lighting.SpecularValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("ambient", None)
-        self["ambient"] = ambient if ambient is not None else _v
-        _v = arg.pop("diffuse", None)
-        self["diffuse"] = diffuse if diffuse is not None else _v
-        _v = arg.pop("fresnel", None)
-        self["fresnel"] = fresnel if fresnel is not None else _v
-        _v = arg.pop("roughness", None)
-        self["roughness"] = roughness if roughness is not None else _v
-        _v = arg.pop("specular", None)
-        self["specular"] = specular if specular is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.surface.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contours(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is an instance of X
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.contours.X`
-          - A dict of string/value properties that will be passed
-            to the X constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour lines.
-                end
-                    Sets the end contour level value. Must be more
-                    than `contours.start`
-                highlight
-                    Determines whether or not contour lines about
-                    the x dimension are highlighted on hover.
-                highlightcolor
-                    Sets the color of the highlighted contour
-                    lines.
-                highlightwidth
-                    Sets the width of the highlighted contour
-                    lines.
-                project
-                    :class:`plotly.graph_objects.surface.contours.x
-                    .Project` instance or dict with compatible
-                    properties
-                show
-                    Determines whether or not contour lines about
-                    the x dimension are drawn.
-                size
-                    Sets the step between each contour level. Must
-                    be positive.
-                start
-                    Sets the starting contour level value. Must be
-                    less than `contours.end`
-                usecolormap
-                    An alternate to "color". Determines whether or
-                    not the contour lines are colored using the
-                    trace "colorscale".
-                width
-                    Sets the width of the contour lines.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.contours.X
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is an instance of Y
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.contours.Y`
-          - A dict of string/value properties that will be passed
-            to the Y constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour lines.
-                end
-                    Sets the end contour level value. Must be more
-                    than `contours.start`
-                highlight
-                    Determines whether or not contour lines about
-                    the y dimension are highlighted on hover.
-                highlightcolor
-                    Sets the color of the highlighted contour
-                    lines.
-                highlightwidth
-                    Sets the width of the highlighted contour
-                    lines.
-                project
-                    :class:`plotly.graph_objects.surface.contours.y
-                    .Project` instance or dict with compatible
-                    properties
-                show
-                    Determines whether or not contour lines about
-                    the y dimension are drawn.
-                size
-                    Sets the step between each contour level. Must
-                    be positive.
-                start
-                    Sets the starting contour level value. Must be
-                    less than `contours.end`
-                usecolormap
-                    An alternate to "color". Determines whether or
-                    not the contour lines are colored using the
-                    trace "colorscale".
-                width
-                    Sets the width of the contour lines.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.contours.Y
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is an instance of Z
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.contours.Z`
-          - A dict of string/value properties that will be passed
-            to the Z constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the contour lines.
-                end
-                    Sets the end contour level value. Must be more
-                    than `contours.start`
-                highlight
-                    Determines whether or not contour lines about
-                    the z dimension are highlighted on hover.
-                highlightcolor
-                    Sets the color of the highlighted contour
-                    lines.
-                highlightwidth
-                    Sets the width of the highlighted contour
-                    lines.
-                project
-                    :class:`plotly.graph_objects.surface.contours.z
-                    .Project` instance or dict with compatible
-                    properties
-                show
-                    Determines whether or not contour lines about
-                    the z dimension are drawn.
-                size
-                    Sets the step between each contour level. Must
-                    be positive.
-                start
-                    Sets the starting contour level value. Must be
-                    less than `contours.end`
-                usecolormap
-                    An alternate to "color". Determines whether or
-                    not the contour lines are colored using the
-                    trace "colorscale".
-                width
-                    Sets the width of the contour lines.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.contours.Z
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            :class:`plotly.graph_objects.surface.contours.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.surface.contours.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.surface.contours.Z`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Contours object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.Contours`
-        x
-            :class:`plotly.graph_objects.surface.contours.X`
-            instance or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.surface.contours.Y`
-            instance or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.surface.contours.Z`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Contours
-        """
-        super(Contours, self).__init__("contours")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.Contours 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.Contours`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface import contours as v_contours
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_contours.XValidator()
-        self._validators["y"] = v_contours.YValidator()
-        self._validators["z"] = v_contours.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.surface.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.surface.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.surface.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.surface.colorbar.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        surface.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.surface.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use surface.colorbar.title.font instead.
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use surface.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.surface.colorba
-            r.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.surfac
-            e.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            surface.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.surface.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use surface.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use surface.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.surface.colorba
-            r.Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.surfac
-            e.colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            surface.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.surface.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use surface.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use surface.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "ColorBar",
-    "Contours",
-    "Hoverlabel",
-    "Lighting",
-    "Lightposition",
-    "Stream",
-    "colorbar",
-    "contours",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.surface import hoverlabel
-from plotly.graph_objs.surface import contours
-from plotly.graph_objs.surface import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._lightposition import Lightposition
+    from ._lighting import Lighting
+    from ._hoverlabel import Hoverlabel
+    from ._contours import Contours
+    from ._colorbar import ColorBar
+    from . import hoverlabel
+    from . import contours
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".contours", ".colorbar"],
+        [
+            "._stream.Stream",
+            "._lightposition.Lightposition",
+            "._lighting.Lighting",
+            "._hoverlabel.Hoverlabel",
+            "._contours.Contours",
+            "._colorbar.ColorBar",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/surface/_colorbar.py b/packages/python/plotly/plotly/graph_objs/surface/_colorbar.py
new file mode 100644
index 00000000000..5e9c9c1474e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/_colorbar.py
@@ -0,0 +1,1940 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface"
+    _path_str = "surface.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.surface.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.surface.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.surface.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.surface.colorbar.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        surface.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.surface.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use surface.colorbar.title.font instead.
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use surface.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.surface.colorba
+            r.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.surfac
+            e.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            surface.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.surface.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use surface.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use surface.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.surface.colorba
+            r.Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.surfac
+            e.colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            surface.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.surface.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use surface.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use surface.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/_contours.py b/packages/python/plotly/plotly/graph_objs/surface/_contours.py
new file mode 100644
index 00000000000..6e1df17a350
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/_contours.py
@@ -0,0 +1,271 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contours(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface"
+    _path_str = "surface.contours"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is an instance of X
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.contours.X`
+          - A dict of string/value properties that will be passed
+            to the X constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour lines.
+                end
+                    Sets the end contour level value. Must be more
+                    than `contours.start`
+                highlight
+                    Determines whether or not contour lines about
+                    the x dimension are highlighted on hover.
+                highlightcolor
+                    Sets the color of the highlighted contour
+                    lines.
+                highlightwidth
+                    Sets the width of the highlighted contour
+                    lines.
+                project
+                    :class:`plotly.graph_objects.surface.contours.x
+                    .Project` instance or dict with compatible
+                    properties
+                show
+                    Determines whether or not contour lines about
+                    the x dimension are drawn.
+                size
+                    Sets the step between each contour level. Must
+                    be positive.
+                start
+                    Sets the starting contour level value. Must be
+                    less than `contours.end`
+                usecolormap
+                    An alternate to "color". Determines whether or
+                    not the contour lines are colored using the
+                    trace "colorscale".
+                width
+                    Sets the width of the contour lines.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.contours.X
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is an instance of Y
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.contours.Y`
+          - A dict of string/value properties that will be passed
+            to the Y constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour lines.
+                end
+                    Sets the end contour level value. Must be more
+                    than `contours.start`
+                highlight
+                    Determines whether or not contour lines about
+                    the y dimension are highlighted on hover.
+                highlightcolor
+                    Sets the color of the highlighted contour
+                    lines.
+                highlightwidth
+                    Sets the width of the highlighted contour
+                    lines.
+                project
+                    :class:`plotly.graph_objects.surface.contours.y
+                    .Project` instance or dict with compatible
+                    properties
+                show
+                    Determines whether or not contour lines about
+                    the y dimension are drawn.
+                size
+                    Sets the step between each contour level. Must
+                    be positive.
+                start
+                    Sets the starting contour level value. Must be
+                    less than `contours.end`
+                usecolormap
+                    An alternate to "color". Determines whether or
+                    not the contour lines are colored using the
+                    trace "colorscale".
+                width
+                    Sets the width of the contour lines.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.contours.Y
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is an instance of Z
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.contours.Z`
+          - A dict of string/value properties that will be passed
+            to the Z constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the contour lines.
+                end
+                    Sets the end contour level value. Must be more
+                    than `contours.start`
+                highlight
+                    Determines whether or not contour lines about
+                    the z dimension are highlighted on hover.
+                highlightcolor
+                    Sets the color of the highlighted contour
+                    lines.
+                highlightwidth
+                    Sets the width of the highlighted contour
+                    lines.
+                project
+                    :class:`plotly.graph_objects.surface.contours.z
+                    .Project` instance or dict with compatible
+                    properties
+                show
+                    Determines whether or not contour lines about
+                    the z dimension are drawn.
+                size
+                    Sets the step between each contour level. Must
+                    be positive.
+                start
+                    Sets the starting contour level value. Must be
+                    less than `contours.end`
+                usecolormap
+                    An alternate to "color". Determines whether or
+                    not the contour lines are colored using the
+                    trace "colorscale".
+                width
+                    Sets the width of the contour lines.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.contours.Z
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            :class:`plotly.graph_objects.surface.contours.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.surface.contours.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.surface.contours.Z`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Contours object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.Contours`
+        x
+            :class:`plotly.graph_objects.surface.contours.X`
+            instance or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.surface.contours.Y`
+            instance or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.surface.contours.Z`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Contours
+        """
+        super(Contours, self).__init__("contours")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.Contours 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.Contours`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/surface/_hoverlabel.py
new file mode 100644
index 00000000000..88951ff190e
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface"
+    _path_str = "surface.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.surface.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/_lighting.py b/packages/python/plotly/plotly/graph_objs/surface/_lighting.py
new file mode 100644
index 00000000000..06c2d925508
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/_lighting.py
@@ -0,0 +1,239 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lighting(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface"
+    _path_str = "surface.lighting"
+    _valid_props = {"ambient", "diffuse", "fresnel", "roughness", "specular"}
+
+    # ambient
+    # -------
+    @property
+    def ambient(self):
+        """
+        Ambient light increases overall color visibility but can wash
+        out the image.
+    
+        The 'ambient' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ambient"]
+
+    @ambient.setter
+    def ambient(self, val):
+        self["ambient"] = val
+
+    # diffuse
+    # -------
+    @property
+    def diffuse(self):
+        """
+        Represents the extent that incident rays are reflected in a
+        range of angles.
+    
+        The 'diffuse' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["diffuse"]
+
+    @diffuse.setter
+    def diffuse(self, val):
+        self["diffuse"] = val
+
+    # fresnel
+    # -------
+    @property
+    def fresnel(self):
+        """
+        Represents the reflectance as a dependency of the viewing
+        angle; e.g. paper is reflective when viewing it from the edge
+        of the paper (almost 90 degrees), causing shine.
+    
+        The 'fresnel' property is a number and may be specified as:
+          - An int or float in the interval [0, 5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fresnel"]
+
+    @fresnel.setter
+    def fresnel(self, val):
+        self["fresnel"] = val
+
+    # roughness
+    # ---------
+    @property
+    def roughness(self):
+        """
+        Alters specular reflection; the rougher the surface, the wider
+        and less contrasty the shine.
+    
+        The 'roughness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roughness"]
+
+    @roughness.setter
+    def roughness(self, val):
+        self["roughness"] = val
+
+    # specular
+    # --------
+    @property
+    def specular(self):
+        """
+        Represents the level that incident rays are reflected in a
+        single direction, causing shine.
+    
+        The 'specular' property is a number and may be specified as:
+          - An int or float in the interval [0, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["specular"]
+
+    @specular.setter
+    def specular(self, val):
+        self["specular"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        ambient=None,
+        diffuse=None,
+        fresnel=None,
+        roughness=None,
+        specular=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lighting object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.Lighting`
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+
+        Returns
+        -------
+        Lighting
+        """
+        super(Lighting, self).__init__("lighting")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.Lighting 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.Lighting`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("ambient", None)
+        _v = ambient if ambient is not None else _v
+        if _v is not None:
+            self["ambient"] = _v
+        _v = arg.pop("diffuse", None)
+        _v = diffuse if diffuse is not None else _v
+        if _v is not None:
+            self["diffuse"] = _v
+        _v = arg.pop("fresnel", None)
+        _v = fresnel if fresnel is not None else _v
+        if _v is not None:
+            self["fresnel"] = _v
+        _v = arg.pop("roughness", None)
+        _v = roughness if roughness is not None else _v
+        if _v is not None:
+            self["roughness"] = _v
+        _v = arg.pop("specular", None)
+        _v = specular if specular is not None else _v
+        if _v is not None:
+            self["specular"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/_lightposition.py b/packages/python/plotly/plotly/graph_objs/surface/_lightposition.py
new file mode 100644
index 00000000000..a270cc2d547
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/_lightposition.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lightposition(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface"
+    _path_str = "surface.lightposition"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Numeric vector, representing the X coordinate for each vertex.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Numeric vector, representing the Y coordinate for each vertex.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Numeric vector, representing the Z coordinate for each vertex.
+    
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Lightposition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.Lightposition`
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+
+        Returns
+        -------
+        Lightposition
+        """
+        super(Lightposition, self).__init__("lightposition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.Lightposition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.Lightposition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/_stream.py b/packages/python/plotly/plotly/graph_objs/surface/_stream.py
new file mode 100644
index 00000000000..2af0c6d30f0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface"
+    _path_str = "surface.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/colorbar/__init__.py
index 9440e3307f5..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.surface.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.surface.colorb
-            ar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.surface.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickfont.py
new file mode 100644
index 00000000000..61b9854c1ab
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.colorbar"
+    _path_str = "surface.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..fc2ca00fcdb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.colorbar"
+    _path_str = "surface.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.surface.colorb
+            ar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/surface/colorbar/_title.py
new file mode 100644
index 00000000000..f8e3538eb46
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.colorbar"
+    _path_str = "surface.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.surface.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/__init__.py
index 72a1e4101e3..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/_font.py
new file mode 100644
index 00000000000..de7880fe0ff
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.colorbar.title"
+    _path_str = "surface.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/contours/__init__.py
index 3a03f1aa555..b9b5ad2c3f8 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/contours/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/__init__.py
@@ -1,1523 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Z(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour lines.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end contour level value. Must be more than
-        `contours.start`
-    
-        The 'end' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # highlight
-    # ---------
-    @property
-    def highlight(self):
-        """
-        Determines whether or not contour lines about the z dimension
-        are highlighted on hover.
-    
-        The 'highlight' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["highlight"]
-
-    @highlight.setter
-    def highlight(self, val):
-        self["highlight"] = val
-
-    # highlightcolor
-    # --------------
-    @property
-    def highlightcolor(self):
-        """
-        Sets the color of the highlighted contour lines.
-    
-        The 'highlightcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["highlightcolor"]
-
-    @highlightcolor.setter
-    def highlightcolor(self, val):
-        self["highlightcolor"] = val
-
-    # highlightwidth
-    # --------------
-    @property
-    def highlightwidth(self):
-        """
-        Sets the width of the highlighted contour lines.
-    
-        The 'highlightwidth' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["highlightwidth"]
-
-    @highlightwidth.setter
-    def highlightwidth(self, val):
-        self["highlightwidth"] = val
-
-    # project
-    # -------
-    @property
-    def project(self):
-        """
-        The 'project' property is an instance of Project
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.contours.z.Project`
-          - A dict of string/value properties that will be passed
-            to the Project constructor
-    
-            Supported dict properties:
-                
-                x
-                    Determines whether or not these contour lines
-                    are projected on the x plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-                y
-                    Determines whether or not these contour lines
-                    are projected on the y plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-                z
-                    Determines whether or not these contour lines
-                    are projected on the z plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.contours.z.Project
-        """
-        return self["project"]
-
-    @project.setter
-    def project(self, val):
-        self["project"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not contour lines about the z dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the step between each contour level. Must be positive.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting contour level value. Must be less than
-        `contours.end`
-    
-        The 'start' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # usecolormap
-    # -----------
-    @property
-    def usecolormap(self):
-        """
-        An alternate to "color". Determines whether or not the contour
-        lines are colored using the trace "colorscale".
-    
-        The 'usecolormap' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["usecolormap"]
-
-    @usecolormap.setter
-    def usecolormap(self, val):
-        self["usecolormap"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the contour lines.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.contours"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour lines.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        highlight
-            Determines whether or not contour lines about the z
-            dimension are highlighted on hover.
-        highlightcolor
-            Sets the color of the highlighted contour lines.
-        highlightwidth
-            Sets the width of the highlighted contour lines.
-        project
-            :class:`plotly.graph_objects.surface.contours.z.Project
-            ` instance or dict with compatible properties
-        show
-            Determines whether or not contour lines about the z
-            dimension are drawn.
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        usecolormap
-            An alternate to "color". Determines whether or not the
-            contour lines are colored using the trace "colorscale".
-        width
-            Sets the width of the contour lines.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        end=None,
-        highlight=None,
-        highlightcolor=None,
-        highlightwidth=None,
-        project=None,
-        show=None,
-        size=None,
-        start=None,
-        usecolormap=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Z object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.contours.Z`
-        color
-            Sets the color of the contour lines.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        highlight
-            Determines whether or not contour lines about the z
-            dimension are highlighted on hover.
-        highlightcolor
-            Sets the color of the highlighted contour lines.
-        highlightwidth
-            Sets the width of the highlighted contour lines.
-        project
-            :class:`plotly.graph_objects.surface.contours.z.Project
-            ` instance or dict with compatible properties
-        show
-            Determines whether or not contour lines about the z
-            dimension are drawn.
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        usecolormap
-            An alternate to "color". Determines whether or not the
-            contour lines are colored using the trace "colorscale".
-        width
-            Sets the width of the contour lines.
-
-        Returns
-        -------
-        Z
-        """
-        super(Z, self).__init__("z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.contours.Z 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.contours.Z`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.contours import z as v_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_z.ColorValidator()
-        self._validators["end"] = v_z.EndValidator()
-        self._validators["highlight"] = v_z.HighlightValidator()
-        self._validators["highlightcolor"] = v_z.HighlightcolorValidator()
-        self._validators["highlightwidth"] = v_z.HighlightwidthValidator()
-        self._validators["project"] = v_z.ProjectValidator()
-        self._validators["show"] = v_z.ShowValidator()
-        self._validators["size"] = v_z.SizeValidator()
-        self._validators["start"] = v_z.StartValidator()
-        self._validators["usecolormap"] = v_z.UsecolormapValidator()
-        self._validators["width"] = v_z.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("highlight", None)
-        self["highlight"] = highlight if highlight is not None else _v
-        _v = arg.pop("highlightcolor", None)
-        self["highlightcolor"] = highlightcolor if highlightcolor is not None else _v
-        _v = arg.pop("highlightwidth", None)
-        self["highlightwidth"] = highlightwidth if highlightwidth is not None else _v
-        _v = arg.pop("project", None)
-        self["project"] = project if project is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-        _v = arg.pop("usecolormap", None)
-        self["usecolormap"] = usecolormap if usecolormap is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Y(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour lines.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end contour level value. Must be more than
-        `contours.start`
-    
-        The 'end' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # highlight
-    # ---------
-    @property
-    def highlight(self):
-        """
-        Determines whether or not contour lines about the y dimension
-        are highlighted on hover.
-    
-        The 'highlight' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["highlight"]
-
-    @highlight.setter
-    def highlight(self, val):
-        self["highlight"] = val
-
-    # highlightcolor
-    # --------------
-    @property
-    def highlightcolor(self):
-        """
-        Sets the color of the highlighted contour lines.
-    
-        The 'highlightcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["highlightcolor"]
-
-    @highlightcolor.setter
-    def highlightcolor(self, val):
-        self["highlightcolor"] = val
-
-    # highlightwidth
-    # --------------
-    @property
-    def highlightwidth(self):
-        """
-        Sets the width of the highlighted contour lines.
-    
-        The 'highlightwidth' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["highlightwidth"]
-
-    @highlightwidth.setter
-    def highlightwidth(self, val):
-        self["highlightwidth"] = val
-
-    # project
-    # -------
-    @property
-    def project(self):
-        """
-        The 'project' property is an instance of Project
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.contours.y.Project`
-          - A dict of string/value properties that will be passed
-            to the Project constructor
-    
-            Supported dict properties:
-                
-                x
-                    Determines whether or not these contour lines
-                    are projected on the x plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-                y
-                    Determines whether or not these contour lines
-                    are projected on the y plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-                z
-                    Determines whether or not these contour lines
-                    are projected on the z plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.contours.y.Project
-        """
-        return self["project"]
-
-    @project.setter
-    def project(self, val):
-        self["project"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not contour lines about the y dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the step between each contour level. Must be positive.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting contour level value. Must be less than
-        `contours.end`
-    
-        The 'start' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # usecolormap
-    # -----------
-    @property
-    def usecolormap(self):
-        """
-        An alternate to "color". Determines whether or not the contour
-        lines are colored using the trace "colorscale".
-    
-        The 'usecolormap' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["usecolormap"]
-
-    @usecolormap.setter
-    def usecolormap(self, val):
-        self["usecolormap"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the contour lines.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.contours"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour lines.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        highlight
-            Determines whether or not contour lines about the y
-            dimension are highlighted on hover.
-        highlightcolor
-            Sets the color of the highlighted contour lines.
-        highlightwidth
-            Sets the width of the highlighted contour lines.
-        project
-            :class:`plotly.graph_objects.surface.contours.y.Project
-            ` instance or dict with compatible properties
-        show
-            Determines whether or not contour lines about the y
-            dimension are drawn.
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        usecolormap
-            An alternate to "color". Determines whether or not the
-            contour lines are colored using the trace "colorscale".
-        width
-            Sets the width of the contour lines.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        end=None,
-        highlight=None,
-        highlightcolor=None,
-        highlightwidth=None,
-        project=None,
-        show=None,
-        size=None,
-        start=None,
-        usecolormap=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Y object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.contours.Y`
-        color
-            Sets the color of the contour lines.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        highlight
-            Determines whether or not contour lines about the y
-            dimension are highlighted on hover.
-        highlightcolor
-            Sets the color of the highlighted contour lines.
-        highlightwidth
-            Sets the width of the highlighted contour lines.
-        project
-            :class:`plotly.graph_objects.surface.contours.y.Project
-            ` instance or dict with compatible properties
-        show
-            Determines whether or not contour lines about the y
-            dimension are drawn.
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        usecolormap
-            An alternate to "color". Determines whether or not the
-            contour lines are colored using the trace "colorscale".
-        width
-            Sets the width of the contour lines.
-
-        Returns
-        -------
-        Y
-        """
-        super(Y, self).__init__("y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.contours.Y 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.contours.Y`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.contours import y as v_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_y.ColorValidator()
-        self._validators["end"] = v_y.EndValidator()
-        self._validators["highlight"] = v_y.HighlightValidator()
-        self._validators["highlightcolor"] = v_y.HighlightcolorValidator()
-        self._validators["highlightwidth"] = v_y.HighlightwidthValidator()
-        self._validators["project"] = v_y.ProjectValidator()
-        self._validators["show"] = v_y.ShowValidator()
-        self._validators["size"] = v_y.SizeValidator()
-        self._validators["start"] = v_y.StartValidator()
-        self._validators["usecolormap"] = v_y.UsecolormapValidator()
-        self._validators["width"] = v_y.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("highlight", None)
-        self["highlight"] = highlight if highlight is not None else _v
-        _v = arg.pop("highlightcolor", None)
-        self["highlightcolor"] = highlightcolor if highlightcolor is not None else _v
-        _v = arg.pop("highlightwidth", None)
-        self["highlightwidth"] = highlightwidth if highlightwidth is not None else _v
-        _v = arg.pop("project", None)
-        self["project"] = project if project is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-        _v = arg.pop("usecolormap", None)
-        self["usecolormap"] = usecolormap if usecolormap is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class X(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour lines.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # end
-    # ---
-    @property
-    def end(self):
-        """
-        Sets the end contour level value. Must be more than
-        `contours.start`
-    
-        The 'end' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["end"]
-
-    @end.setter
-    def end(self, val):
-        self["end"] = val
-
-    # highlight
-    # ---------
-    @property
-    def highlight(self):
-        """
-        Determines whether or not contour lines about the x dimension
-        are highlighted on hover.
-    
-        The 'highlight' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["highlight"]
-
-    @highlight.setter
-    def highlight(self, val):
-        self["highlight"] = val
-
-    # highlightcolor
-    # --------------
-    @property
-    def highlightcolor(self):
-        """
-        Sets the color of the highlighted contour lines.
-    
-        The 'highlightcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["highlightcolor"]
-
-    @highlightcolor.setter
-    def highlightcolor(self, val):
-        self["highlightcolor"] = val
-
-    # highlightwidth
-    # --------------
-    @property
-    def highlightwidth(self):
-        """
-        Sets the width of the highlighted contour lines.
-    
-        The 'highlightwidth' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["highlightwidth"]
-
-    @highlightwidth.setter
-    def highlightwidth(self, val):
-        self["highlightwidth"] = val
-
-    # project
-    # -------
-    @property
-    def project(self):
-        """
-        The 'project' property is an instance of Project
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.surface.contours.x.Project`
-          - A dict of string/value properties that will be passed
-            to the Project constructor
-    
-            Supported dict properties:
-                
-                x
-                    Determines whether or not these contour lines
-                    are projected on the x plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-                y
-                    Determines whether or not these contour lines
-                    are projected on the y plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-                z
-                    Determines whether or not these contour lines
-                    are projected on the z plane. If `highlight` is
-                    set to True (the default), the projected lines
-                    are shown on hover. If `show` is set to True,
-                    the projected lines are shown in permanence.
-
-        Returns
-        -------
-        plotly.graph_objs.surface.contours.x.Project
-        """
-        return self["project"]
-
-    @project.setter
-    def project(self, val):
-        self["project"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not contour lines about the x dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the step between each contour level. Must be positive.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # start
-    # -----
-    @property
-    def start(self):
-        """
-        Sets the starting contour level value. Must be less than
-        `contours.end`
-    
-        The 'start' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["start"]
-
-    @start.setter
-    def start(self, val):
-        self["start"] = val
-
-    # usecolormap
-    # -----------
-    @property
-    def usecolormap(self):
-        """
-        An alternate to "color". Determines whether or not the contour
-        lines are colored using the trace "colorscale".
-    
-        The 'usecolormap' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["usecolormap"]
-
-    @usecolormap.setter
-    def usecolormap(self, val):
-        self["usecolormap"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the contour lines.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.contours"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour lines.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        highlight
-            Determines whether or not contour lines about the x
-            dimension are highlighted on hover.
-        highlightcolor
-            Sets the color of the highlighted contour lines.
-        highlightwidth
-            Sets the width of the highlighted contour lines.
-        project
-            :class:`plotly.graph_objects.surface.contours.x.Project
-            ` instance or dict with compatible properties
-        show
-            Determines whether or not contour lines about the x
-            dimension are drawn.
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        usecolormap
-            An alternate to "color". Determines whether or not the
-            contour lines are colored using the trace "colorscale".
-        width
-            Sets the width of the contour lines.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        end=None,
-        highlight=None,
-        highlightcolor=None,
-        highlightwidth=None,
-        project=None,
-        show=None,
-        size=None,
-        start=None,
-        usecolormap=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new X object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.contours.X`
-        color
-            Sets the color of the contour lines.
-        end
-            Sets the end contour level value. Must be more than
-            `contours.start`
-        highlight
-            Determines whether or not contour lines about the x
-            dimension are highlighted on hover.
-        highlightcolor
-            Sets the color of the highlighted contour lines.
-        highlightwidth
-            Sets the width of the highlighted contour lines.
-        project
-            :class:`plotly.graph_objects.surface.contours.x.Project
-            ` instance or dict with compatible properties
-        show
-            Determines whether or not contour lines about the x
-            dimension are drawn.
-        size
-            Sets the step between each contour level. Must be
-            positive.
-        start
-            Sets the starting contour level value. Must be less
-            than `contours.end`
-        usecolormap
-            An alternate to "color". Determines whether or not the
-            contour lines are colored using the trace "colorscale".
-        width
-            Sets the width of the contour lines.
-
-        Returns
-        -------
-        X
-        """
-        super(X, self).__init__("x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.contours.X 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.contours.X`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.contours import x as v_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_x.ColorValidator()
-        self._validators["end"] = v_x.EndValidator()
-        self._validators["highlight"] = v_x.HighlightValidator()
-        self._validators["highlightcolor"] = v_x.HighlightcolorValidator()
-        self._validators["highlightwidth"] = v_x.HighlightwidthValidator()
-        self._validators["project"] = v_x.ProjectValidator()
-        self._validators["show"] = v_x.ShowValidator()
-        self._validators["size"] = v_x.SizeValidator()
-        self._validators["start"] = v_x.StartValidator()
-        self._validators["usecolormap"] = v_x.UsecolormapValidator()
-        self._validators["width"] = v_x.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("end", None)
-        self["end"] = end if end is not None else _v
-        _v = arg.pop("highlight", None)
-        self["highlight"] = highlight if highlight is not None else _v
-        _v = arg.pop("highlightcolor", None)
-        self["highlightcolor"] = highlightcolor if highlightcolor is not None else _v
-        _v = arg.pop("highlightwidth", None)
-        self["highlightwidth"] = highlightwidth if highlightwidth is not None else _v
-        _v = arg.pop("project", None)
-        self["project"] = project if project is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("start", None)
-        self["start"] = start if start is not None else _v
-        _v = arg.pop("usecolormap", None)
-        self["usecolormap"] = usecolormap if usecolormap is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["X", "Y", "Z", "x", "y", "z"]
-
-from plotly.graph_objs.surface.contours import z
-from plotly.graph_objs.surface.contours import y
-from plotly.graph_objs.surface.contours import x
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import Z
+    from ._y import Y
+    from ._x import X
+    from . import z
+    from . import y
+    from . import x
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".z", ".y", ".x"], ["._z.Z", "._y.Y", "._x.X"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/_x.py b/packages/python/plotly/plotly/graph_objs/surface/contours/_x.py
new file mode 100644
index 00000000000..6eae7c8b947
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/_x.py
@@ -0,0 +1,524 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class X(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.contours"
+    _path_str = "surface.contours.x"
+    _valid_props = {
+        "color",
+        "end",
+        "highlight",
+        "highlightcolor",
+        "highlightwidth",
+        "project",
+        "show",
+        "size",
+        "start",
+        "usecolormap",
+        "width",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour lines.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end contour level value. Must be more than
+        `contours.start`
+    
+        The 'end' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # highlight
+    # ---------
+    @property
+    def highlight(self):
+        """
+        Determines whether or not contour lines about the x dimension
+        are highlighted on hover.
+    
+        The 'highlight' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["highlight"]
+
+    @highlight.setter
+    def highlight(self, val):
+        self["highlight"] = val
+
+    # highlightcolor
+    # --------------
+    @property
+    def highlightcolor(self):
+        """
+        Sets the color of the highlighted contour lines.
+    
+        The 'highlightcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["highlightcolor"]
+
+    @highlightcolor.setter
+    def highlightcolor(self, val):
+        self["highlightcolor"] = val
+
+    # highlightwidth
+    # --------------
+    @property
+    def highlightwidth(self):
+        """
+        Sets the width of the highlighted contour lines.
+    
+        The 'highlightwidth' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["highlightwidth"]
+
+    @highlightwidth.setter
+    def highlightwidth(self, val):
+        self["highlightwidth"] = val
+
+    # project
+    # -------
+    @property
+    def project(self):
+        """
+        The 'project' property is an instance of Project
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.contours.x.Project`
+          - A dict of string/value properties that will be passed
+            to the Project constructor
+    
+            Supported dict properties:
+                
+                x
+                    Determines whether or not these contour lines
+                    are projected on the x plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+                y
+                    Determines whether or not these contour lines
+                    are projected on the y plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+                z
+                    Determines whether or not these contour lines
+                    are projected on the z plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.contours.x.Project
+        """
+        return self["project"]
+
+    @project.setter
+    def project(self, val):
+        self["project"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not contour lines about the x dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the step between each contour level. Must be positive.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting contour level value. Must be less than
+        `contours.end`
+    
+        The 'start' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # usecolormap
+    # -----------
+    @property
+    def usecolormap(self):
+        """
+        An alternate to "color". Determines whether or not the contour
+        lines are colored using the trace "colorscale".
+    
+        The 'usecolormap' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["usecolormap"]
+
+    @usecolormap.setter
+    def usecolormap(self, val):
+        self["usecolormap"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the contour lines.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour lines.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        highlight
+            Determines whether or not contour lines about the x
+            dimension are highlighted on hover.
+        highlightcolor
+            Sets the color of the highlighted contour lines.
+        highlightwidth
+            Sets the width of the highlighted contour lines.
+        project
+            :class:`plotly.graph_objects.surface.contours.x.Project
+            ` instance or dict with compatible properties
+        show
+            Determines whether or not contour lines about the x
+            dimension are drawn.
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        usecolormap
+            An alternate to "color". Determines whether or not the
+            contour lines are colored using the trace "colorscale".
+        width
+            Sets the width of the contour lines.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        end=None,
+        highlight=None,
+        highlightcolor=None,
+        highlightwidth=None,
+        project=None,
+        show=None,
+        size=None,
+        start=None,
+        usecolormap=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new X object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.contours.X`
+        color
+            Sets the color of the contour lines.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        highlight
+            Determines whether or not contour lines about the x
+            dimension are highlighted on hover.
+        highlightcolor
+            Sets the color of the highlighted contour lines.
+        highlightwidth
+            Sets the width of the highlighted contour lines.
+        project
+            :class:`plotly.graph_objects.surface.contours.x.Project
+            ` instance or dict with compatible properties
+        show
+            Determines whether or not contour lines about the x
+            dimension are drawn.
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        usecolormap
+            An alternate to "color". Determines whether or not the
+            contour lines are colored using the trace "colorscale".
+        width
+            Sets the width of the contour lines.
+
+        Returns
+        -------
+        X
+        """
+        super(X, self).__init__("x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.contours.X 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.contours.X`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("highlight", None)
+        _v = highlight if highlight is not None else _v
+        if _v is not None:
+            self["highlight"] = _v
+        _v = arg.pop("highlightcolor", None)
+        _v = highlightcolor if highlightcolor is not None else _v
+        if _v is not None:
+            self["highlightcolor"] = _v
+        _v = arg.pop("highlightwidth", None)
+        _v = highlightwidth if highlightwidth is not None else _v
+        if _v is not None:
+            self["highlightwidth"] = _v
+        _v = arg.pop("project", None)
+        _v = project if project is not None else _v
+        if _v is not None:
+            self["project"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+        _v = arg.pop("usecolormap", None)
+        _v = usecolormap if usecolormap is not None else _v
+        if _v is not None:
+            self["usecolormap"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/_y.py b/packages/python/plotly/plotly/graph_objs/surface/contours/_y.py
new file mode 100644
index 00000000000..ee549e47bef
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/_y.py
@@ -0,0 +1,524 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Y(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.contours"
+    _path_str = "surface.contours.y"
+    _valid_props = {
+        "color",
+        "end",
+        "highlight",
+        "highlightcolor",
+        "highlightwidth",
+        "project",
+        "show",
+        "size",
+        "start",
+        "usecolormap",
+        "width",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour lines.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end contour level value. Must be more than
+        `contours.start`
+    
+        The 'end' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # highlight
+    # ---------
+    @property
+    def highlight(self):
+        """
+        Determines whether or not contour lines about the y dimension
+        are highlighted on hover.
+    
+        The 'highlight' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["highlight"]
+
+    @highlight.setter
+    def highlight(self, val):
+        self["highlight"] = val
+
+    # highlightcolor
+    # --------------
+    @property
+    def highlightcolor(self):
+        """
+        Sets the color of the highlighted contour lines.
+    
+        The 'highlightcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["highlightcolor"]
+
+    @highlightcolor.setter
+    def highlightcolor(self, val):
+        self["highlightcolor"] = val
+
+    # highlightwidth
+    # --------------
+    @property
+    def highlightwidth(self):
+        """
+        Sets the width of the highlighted contour lines.
+    
+        The 'highlightwidth' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["highlightwidth"]
+
+    @highlightwidth.setter
+    def highlightwidth(self, val):
+        self["highlightwidth"] = val
+
+    # project
+    # -------
+    @property
+    def project(self):
+        """
+        The 'project' property is an instance of Project
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.contours.y.Project`
+          - A dict of string/value properties that will be passed
+            to the Project constructor
+    
+            Supported dict properties:
+                
+                x
+                    Determines whether or not these contour lines
+                    are projected on the x plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+                y
+                    Determines whether or not these contour lines
+                    are projected on the y plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+                z
+                    Determines whether or not these contour lines
+                    are projected on the z plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.contours.y.Project
+        """
+        return self["project"]
+
+    @project.setter
+    def project(self, val):
+        self["project"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not contour lines about the y dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the step between each contour level. Must be positive.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting contour level value. Must be less than
+        `contours.end`
+    
+        The 'start' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # usecolormap
+    # -----------
+    @property
+    def usecolormap(self):
+        """
+        An alternate to "color". Determines whether or not the contour
+        lines are colored using the trace "colorscale".
+    
+        The 'usecolormap' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["usecolormap"]
+
+    @usecolormap.setter
+    def usecolormap(self, val):
+        self["usecolormap"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the contour lines.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour lines.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        highlight
+            Determines whether or not contour lines about the y
+            dimension are highlighted on hover.
+        highlightcolor
+            Sets the color of the highlighted contour lines.
+        highlightwidth
+            Sets the width of the highlighted contour lines.
+        project
+            :class:`plotly.graph_objects.surface.contours.y.Project
+            ` instance or dict with compatible properties
+        show
+            Determines whether or not contour lines about the y
+            dimension are drawn.
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        usecolormap
+            An alternate to "color". Determines whether or not the
+            contour lines are colored using the trace "colorscale".
+        width
+            Sets the width of the contour lines.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        end=None,
+        highlight=None,
+        highlightcolor=None,
+        highlightwidth=None,
+        project=None,
+        show=None,
+        size=None,
+        start=None,
+        usecolormap=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Y object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.contours.Y`
+        color
+            Sets the color of the contour lines.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        highlight
+            Determines whether or not contour lines about the y
+            dimension are highlighted on hover.
+        highlightcolor
+            Sets the color of the highlighted contour lines.
+        highlightwidth
+            Sets the width of the highlighted contour lines.
+        project
+            :class:`plotly.graph_objects.surface.contours.y.Project
+            ` instance or dict with compatible properties
+        show
+            Determines whether or not contour lines about the y
+            dimension are drawn.
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        usecolormap
+            An alternate to "color". Determines whether or not the
+            contour lines are colored using the trace "colorscale".
+        width
+            Sets the width of the contour lines.
+
+        Returns
+        -------
+        Y
+        """
+        super(Y, self).__init__("y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.contours.Y 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.contours.Y`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("highlight", None)
+        _v = highlight if highlight is not None else _v
+        if _v is not None:
+            self["highlight"] = _v
+        _v = arg.pop("highlightcolor", None)
+        _v = highlightcolor if highlightcolor is not None else _v
+        if _v is not None:
+            self["highlightcolor"] = _v
+        _v = arg.pop("highlightwidth", None)
+        _v = highlightwidth if highlightwidth is not None else _v
+        if _v is not None:
+            self["highlightwidth"] = _v
+        _v = arg.pop("project", None)
+        _v = project if project is not None else _v
+        if _v is not None:
+            self["project"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+        _v = arg.pop("usecolormap", None)
+        _v = usecolormap if usecolormap is not None else _v
+        if _v is not None:
+            self["usecolormap"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/_z.py b/packages/python/plotly/plotly/graph_objs/surface/contours/_z.py
new file mode 100644
index 00000000000..f7702c30598
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/_z.py
@@ -0,0 +1,524 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Z(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.contours"
+    _path_str = "surface.contours.z"
+    _valid_props = {
+        "color",
+        "end",
+        "highlight",
+        "highlightcolor",
+        "highlightwidth",
+        "project",
+        "show",
+        "size",
+        "start",
+        "usecolormap",
+        "width",
+    }
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour lines.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # end
+    # ---
+    @property
+    def end(self):
+        """
+        Sets the end contour level value. Must be more than
+        `contours.start`
+    
+        The 'end' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["end"]
+
+    @end.setter
+    def end(self, val):
+        self["end"] = val
+
+    # highlight
+    # ---------
+    @property
+    def highlight(self):
+        """
+        Determines whether or not contour lines about the z dimension
+        are highlighted on hover.
+    
+        The 'highlight' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["highlight"]
+
+    @highlight.setter
+    def highlight(self, val):
+        self["highlight"] = val
+
+    # highlightcolor
+    # --------------
+    @property
+    def highlightcolor(self):
+        """
+        Sets the color of the highlighted contour lines.
+    
+        The 'highlightcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["highlightcolor"]
+
+    @highlightcolor.setter
+    def highlightcolor(self, val):
+        self["highlightcolor"] = val
+
+    # highlightwidth
+    # --------------
+    @property
+    def highlightwidth(self):
+        """
+        Sets the width of the highlighted contour lines.
+    
+        The 'highlightwidth' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["highlightwidth"]
+
+    @highlightwidth.setter
+    def highlightwidth(self, val):
+        self["highlightwidth"] = val
+
+    # project
+    # -------
+    @property
+    def project(self):
+        """
+        The 'project' property is an instance of Project
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.surface.contours.z.Project`
+          - A dict of string/value properties that will be passed
+            to the Project constructor
+    
+            Supported dict properties:
+                
+                x
+                    Determines whether or not these contour lines
+                    are projected on the x plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+                y
+                    Determines whether or not these contour lines
+                    are projected on the y plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+                z
+                    Determines whether or not these contour lines
+                    are projected on the z plane. If `highlight` is
+                    set to True (the default), the projected lines
+                    are shown on hover. If `show` is set to True,
+                    the projected lines are shown in permanence.
+
+        Returns
+        -------
+        plotly.graph_objs.surface.contours.z.Project
+        """
+        return self["project"]
+
+    @project.setter
+    def project(self, val):
+        self["project"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not contour lines about the z dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the step between each contour level. Must be positive.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # start
+    # -----
+    @property
+    def start(self):
+        """
+        Sets the starting contour level value. Must be less than
+        `contours.end`
+    
+        The 'start' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["start"]
+
+    @start.setter
+    def start(self, val):
+        self["start"] = val
+
+    # usecolormap
+    # -----------
+    @property
+    def usecolormap(self):
+        """
+        An alternate to "color". Determines whether or not the contour
+        lines are colored using the trace "colorscale".
+    
+        The 'usecolormap' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["usecolormap"]
+
+    @usecolormap.setter
+    def usecolormap(self, val):
+        self["usecolormap"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the contour lines.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour lines.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        highlight
+            Determines whether or not contour lines about the z
+            dimension are highlighted on hover.
+        highlightcolor
+            Sets the color of the highlighted contour lines.
+        highlightwidth
+            Sets the width of the highlighted contour lines.
+        project
+            :class:`plotly.graph_objects.surface.contours.z.Project
+            ` instance or dict with compatible properties
+        show
+            Determines whether or not contour lines about the z
+            dimension are drawn.
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        usecolormap
+            An alternate to "color". Determines whether or not the
+            contour lines are colored using the trace "colorscale".
+        width
+            Sets the width of the contour lines.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        end=None,
+        highlight=None,
+        highlightcolor=None,
+        highlightwidth=None,
+        project=None,
+        show=None,
+        size=None,
+        start=None,
+        usecolormap=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Z object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.contours.Z`
+        color
+            Sets the color of the contour lines.
+        end
+            Sets the end contour level value. Must be more than
+            `contours.start`
+        highlight
+            Determines whether or not contour lines about the z
+            dimension are highlighted on hover.
+        highlightcolor
+            Sets the color of the highlighted contour lines.
+        highlightwidth
+            Sets the width of the highlighted contour lines.
+        project
+            :class:`plotly.graph_objects.surface.contours.z.Project
+            ` instance or dict with compatible properties
+        show
+            Determines whether or not contour lines about the z
+            dimension are drawn.
+        size
+            Sets the step between each contour level. Must be
+            positive.
+        start
+            Sets the starting contour level value. Must be less
+            than `contours.end`
+        usecolormap
+            An alternate to "color". Determines whether or not the
+            contour lines are colored using the trace "colorscale".
+        width
+            Sets the width of the contour lines.
+
+        Returns
+        -------
+        Z
+        """
+        super(Z, self).__init__("z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.contours.Z 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.contours.Z`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("end", None)
+        _v = end if end is not None else _v
+        if _v is not None:
+            self["end"] = _v
+        _v = arg.pop("highlight", None)
+        _v = highlight if highlight is not None else _v
+        if _v is not None:
+            self["highlight"] = _v
+        _v = arg.pop("highlightcolor", None)
+        _v = highlightcolor if highlightcolor is not None else _v
+        if _v is not None:
+            self["highlightcolor"] = _v
+        _v = arg.pop("highlightwidth", None)
+        _v = highlightwidth if highlightwidth is not None else _v
+        if _v is not None:
+            self["highlightwidth"] = _v
+        _v = arg.pop("project", None)
+        _v = project if project is not None else _v
+        if _v is not None:
+            self["project"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("start", None)
+        _v = start if start is not None else _v
+        if _v is not None:
+            self["start"] = _v
+        _v = arg.pop("usecolormap", None)
+        _v = usecolormap if usecolormap is not None else _v
+        if _v is not None:
+            self["usecolormap"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/x/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/contours/x/__init__.py
index 62baff49d73..58c3e97f289 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/contours/x/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/x/__init__.py
@@ -1,190 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._project import Project
+else:
+    from _plotly_utils.importers import relative_import
 
-class Project(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the x plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'x' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the y plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'y' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the z plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'z' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.contours.x"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Determines whether or not these contour lines are
-            projected on the x plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        y
-            Determines whether or not these contour lines are
-            projected on the y plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        z
-            Determines whether or not these contour lines are
-            projected on the z plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Project object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.contours.x.Project`
-        x
-            Determines whether or not these contour lines are
-            projected on the x plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        y
-            Determines whether or not these contour lines are
-            projected on the y plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        z
-            Determines whether or not these contour lines are
-            projected on the z plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-
-        Returns
-        -------
-        Project
-        """
-        super(Project, self).__init__("project")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.contours.x.Project 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.contours.x.Project`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.contours.x import project as v_project
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_project.XValidator()
-        self._validators["y"] = v_project.YValidator()
-        self._validators["z"] = v_project.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Project"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._project.Project"])
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/x/_project.py b/packages/python/plotly/plotly/graph_objs/surface/contours/x/_project.py
new file mode 100644
index 00000000000..2208d85e9e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/x/_project.py
@@ -0,0 +1,187 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Project(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.contours.x"
+    _path_str = "surface.contours.x.project"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the x plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'x' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the y plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'y' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the z plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'z' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Determines whether or not these contour lines are
+            projected on the x plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        y
+            Determines whether or not these contour lines are
+            projected on the y plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        z
+            Determines whether or not these contour lines are
+            projected on the z plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Project object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.contours.x.Project`
+        x
+            Determines whether or not these contour lines are
+            projected on the x plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        y
+            Determines whether or not these contour lines are
+            projected on the y plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        z
+            Determines whether or not these contour lines are
+            projected on the z plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+
+        Returns
+        -------
+        Project
+        """
+        super(Project, self).__init__("project")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.contours.x.Project 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.contours.x.Project`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/y/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/contours/y/__init__.py
index 92d07f22794..58c3e97f289 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/contours/y/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/y/__init__.py
@@ -1,190 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._project import Project
+else:
+    from _plotly_utils.importers import relative_import
 
-class Project(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the x plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'x' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the y plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'y' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the z plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'z' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.contours.y"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Determines whether or not these contour lines are
-            projected on the x plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        y
-            Determines whether or not these contour lines are
-            projected on the y plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        z
-            Determines whether or not these contour lines are
-            projected on the z plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Project object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.contours.y.Project`
-        x
-            Determines whether or not these contour lines are
-            projected on the x plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        y
-            Determines whether or not these contour lines are
-            projected on the y plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        z
-            Determines whether or not these contour lines are
-            projected on the z plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-
-        Returns
-        -------
-        Project
-        """
-        super(Project, self).__init__("project")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.contours.y.Project 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.contours.y.Project`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.contours.y import project as v_project
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_project.XValidator()
-        self._validators["y"] = v_project.YValidator()
-        self._validators["z"] = v_project.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Project"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._project.Project"])
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/y/_project.py b/packages/python/plotly/plotly/graph_objs/surface/contours/y/_project.py
new file mode 100644
index 00000000000..5c511c6573c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/y/_project.py
@@ -0,0 +1,187 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Project(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.contours.y"
+    _path_str = "surface.contours.y.project"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the x plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'x' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the y plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'y' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the z plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'z' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Determines whether or not these contour lines are
+            projected on the x plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        y
+            Determines whether or not these contour lines are
+            projected on the y plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        z
+            Determines whether or not these contour lines are
+            projected on the z plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Project object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.contours.y.Project`
+        x
+            Determines whether or not these contour lines are
+            projected on the x plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        y
+            Determines whether or not these contour lines are
+            projected on the y plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        z
+            Determines whether or not these contour lines are
+            projected on the z plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+
+        Returns
+        -------
+        Project
+        """
+        super(Project, self).__init__("project")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.contours.y.Project 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.contours.y.Project`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/z/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/contours/z/__init__.py
index 491ca43ace3..58c3e97f289 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/contours/z/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/z/__init__.py
@@ -1,190 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._project import Project
+else:
+    from _plotly_utils.importers import relative_import
 
-class Project(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the x plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'x' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the y plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'y' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Determines whether or not these contour lines are projected on
-        the z plane. If `highlight` is set to True (the default), the
-        projected lines are shown on hover. If `show` is set to True,
-        the projected lines are shown in permanence.
-    
-        The 'z' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.contours.z"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Determines whether or not these contour lines are
-            projected on the x plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        y
-            Determines whether or not these contour lines are
-            projected on the y plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        z
-            Determines whether or not these contour lines are
-            projected on the z plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Project object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.contours.z.Project`
-        x
-            Determines whether or not these contour lines are
-            projected on the x plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        y
-            Determines whether or not these contour lines are
-            projected on the y plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-        z
-            Determines whether or not these contour lines are
-            projected on the z plane. If `highlight` is set to True
-            (the default), the projected lines are shown on hover.
-            If `show` is set to True, the projected lines are shown
-            in permanence.
-
-        Returns
-        -------
-        Project
-        """
-        super(Project, self).__init__("project")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.contours.z.Project 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.contours.z.Project`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.contours.z import project as v_project
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_project.XValidator()
-        self._validators["y"] = v_project.YValidator()
-        self._validators["z"] = v_project.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Project"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._project.Project"])
diff --git a/packages/python/plotly/plotly/graph_objs/surface/contours/z/_project.py b/packages/python/plotly/plotly/graph_objs/surface/contours/z/_project.py
new file mode 100644
index 00000000000..cc881d10fe2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/contours/z/_project.py
@@ -0,0 +1,187 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Project(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.contours.z"
+    _path_str = "surface.contours.z.project"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the x plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'x' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the y plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'y' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Determines whether or not these contour lines are projected on
+        the z plane. If `highlight` is set to True (the default), the
+        projected lines are shown on hover. If `show` is set to True,
+        the projected lines are shown in permanence.
+    
+        The 'z' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Determines whether or not these contour lines are
+            projected on the x plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        y
+            Determines whether or not these contour lines are
+            projected on the y plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        z
+            Determines whether or not these contour lines are
+            projected on the z plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Project object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.contours.z.Project`
+        x
+            Determines whether or not these contour lines are
+            projected on the x plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        y
+            Determines whether or not these contour lines are
+            projected on the y plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+        z
+            Determines whether or not these contour lines are
+            projected on the z plane. If `highlight` is set to True
+            (the default), the projected lines are shown on hover.
+            If `show` is set to True, the projected lines are shown
+            in permanence.
+
+        Returns
+        -------
+        Project
+        """
+        super(Project, self).__init__("project")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.contours.z.Project 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.contours.z.Project`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/__init__.py
index 82ef903a230..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "surface.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.surface.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.surface.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.surface.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.surface.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/_font.py
new file mode 100644
index 00000000000..e8395128c70
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/surface/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "surface.hoverlabel"
+    _path_str = "surface.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.surface.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.surface.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.surface.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/__init__.py b/packages/python/plotly/plotly/graph_objs/table/__init__.py
index 3d9fbf68a48..3357b348013 100644
--- a/packages/python/plotly/plotly/graph_objs/table/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/table/__init__.py
@@ -1,2014 +1,25 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.table.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.table.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Header(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the `text` within the box. Has
-        an effect only if `text` spans two or more lines (i.e. `text`
-        contains one or more <br> HTML tags) or if an explicit width is
-        set to override the text width.
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        The 'fill' property is an instance of Fill
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.header.Fill`
-          - A dict of string/value properties that will be passed
-            to the Fill constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the cell fill color. It accepts either a
-                    specific color or an array of colors or a 2D
-                    array of colors.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-
-        Returns
-        -------
-        plotly.graph_objs.table.header.Fill
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.header.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.table.header.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # format
-    # ------
-    @property
-    def format(self):
-        """
-        Sets the cell value formatting rule using d3 formatting mini-
-        language which is similar to those of Python. See
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'format' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["format"]
-
-    @format.setter
-    def format(self, val):
-        self["format"] = val
-
-    # formatsrc
-    # ---------
-    @property
-    def formatsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  format .
-    
-        The 'formatsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["formatsrc"]
-
-    @formatsrc.setter
-    def formatsrc(self, val):
-        self["formatsrc"] = val
-
-    # height
-    # ------
-    @property
-    def height(self):
-        """
-        The height of cells.
-    
-        The 'height' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["height"]
-
-    @height.setter
-    def height(self, val):
-        self["height"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.header.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-    
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.table.header.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # prefix
-    # ------
-    @property
-    def prefix(self):
-        """
-        Prefix for cell values.
-    
-        The 'prefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["prefix"]
-
-    @prefix.setter
-    def prefix(self, val):
-        self["prefix"] = val
-
-    # prefixsrc
-    # ---------
-    @property
-    def prefixsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  prefix .
-    
-        The 'prefixsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["prefixsrc"]
-
-    @prefixsrc.setter
-    def prefixsrc(self, val):
-        self["prefixsrc"] = val
-
-    # suffix
-    # ------
-    @property
-    def suffix(self):
-        """
-        Suffix for cell values.
-    
-        The 'suffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["suffix"]
-
-    @suffix.setter
-    def suffix(self, val):
-        self["suffix"] = val
-
-    # suffixsrc
-    # ---------
-    @property
-    def suffixsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  suffix .
-    
-        The 'suffixsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["suffixsrc"]
-
-    @suffixsrc.setter
-    def suffixsrc(self, val):
-        self["suffixsrc"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Header cell values. `values[m][n]` represents the value of the
-        `n`th point in column `m`, therefore the `values[m]` vector
-        length for all columns must be the same (longer vectors will be
-        truncated). Each value must be a finite number or a string.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        fill
-            :class:`plotly.graph_objects.table.header.Fill`
-            instance or dict with compatible properties
-        font
-            :class:`plotly.graph_objects.table.header.Font`
-            instance or dict with compatible properties
-        format
-            Sets the cell value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        formatsrc
-            Sets the source reference on Chart Studio Cloud for
-            format .
-        height
-            The height of cells.
-        line
-            :class:`plotly.graph_objects.table.header.Line`
-            instance or dict with compatible properties
-        prefix
-            Prefix for cell values.
-        prefixsrc
-            Sets the source reference on Chart Studio Cloud for
-            prefix .
-        suffix
-            Suffix for cell values.
-        suffixsrc
-            Sets the source reference on Chart Studio Cloud for
-            suffix .
-        values
-            Header cell values. `values[m][n]` represents the value
-            of the `n`th point in column `m`, therefore the
-            `values[m]` vector length for all columns must be the
-            same (longer vectors will be truncated). Each value
-            must be a finite number or a string.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        fill=None,
-        font=None,
-        format=None,
-        formatsrc=None,
-        height=None,
-        line=None,
-        prefix=None,
-        prefixsrc=None,
-        suffix=None,
-        suffixsrc=None,
-        values=None,
-        valuessrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Header object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.table.Header`
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        fill
-            :class:`plotly.graph_objects.table.header.Fill`
-            instance or dict with compatible properties
-        font
-            :class:`plotly.graph_objects.table.header.Font`
-            instance or dict with compatible properties
-        format
-            Sets the cell value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        formatsrc
-            Sets the source reference on Chart Studio Cloud for
-            format .
-        height
-            The height of cells.
-        line
-            :class:`plotly.graph_objects.table.header.Line`
-            instance or dict with compatible properties
-        prefix
-            Prefix for cell values.
-        prefixsrc
-            Sets the source reference on Chart Studio Cloud for
-            prefix .
-        suffix
-            Suffix for cell values.
-        suffixsrc
-            Sets the source reference on Chart Studio Cloud for
-            suffix .
-        values
-            Header cell values. `values[m][n]` represents the value
-            of the `n`th point in column `m`, therefore the
-            `values[m]` vector length for all columns must be the
-            same (longer vectors will be truncated). Each value
-            must be a finite number or a string.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-
-        Returns
-        -------
-        Header
-        """
-        super(Header, self).__init__("header")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.Header 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.Header`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table import header as v_header
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_header.AlignValidator()
-        self._validators["alignsrc"] = v_header.AlignsrcValidator()
-        self._validators["fill"] = v_header.FillValidator()
-        self._validators["font"] = v_header.FontValidator()
-        self._validators["format"] = v_header.FormatValidator()
-        self._validators["formatsrc"] = v_header.FormatsrcValidator()
-        self._validators["height"] = v_header.HeightValidator()
-        self._validators["line"] = v_header.LineValidator()
-        self._validators["prefix"] = v_header.PrefixValidator()
-        self._validators["prefixsrc"] = v_header.PrefixsrcValidator()
-        self._validators["suffix"] = v_header.SuffixValidator()
-        self._validators["suffixsrc"] = v_header.SuffixsrcValidator()
-        self._validators["values"] = v_header.ValuesValidator()
-        self._validators["valuessrc"] = v_header.ValuessrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("format", None)
-        self["format"] = format if format is not None else _v
-        _v = arg.pop("formatsrc", None)
-        self["formatsrc"] = formatsrc if formatsrc is not None else _v
-        _v = arg.pop("height", None)
-        self["height"] = height if height is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("prefix", None)
-        self["prefix"] = prefix if prefix is not None else _v
-        _v = arg.pop("prefixsrc", None)
-        self["prefixsrc"] = prefixsrc if prefixsrc is not None else _v
-        _v = arg.pop("suffix", None)
-        self["suffix"] = suffix if suffix is not None else _v
-        _v = arg.pop("suffixsrc", None)
-        self["suffixsrc"] = suffixsrc if suffixsrc is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this table trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this table trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this table trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this table trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this table trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this table trace .
-        x
-            Sets the horizontal domain of this table trace (in plot
-            fraction).
-        y
-            Sets the vertical domain of this table trace (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.table.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this table trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this table trace .
-        x
-            Sets the horizontal domain of this table trace (in plot
-            fraction).
-        y
-            Sets the vertical domain of this table trace (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Cells(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the `text` within the box. Has
-        an effect only if `text` spans two or more lines (i.e. `text`
-        contains one or more <br> HTML tags) or if an explicit width is
-        set to override the text width.
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        The 'fill' property is an instance of Fill
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.cells.Fill`
-          - A dict of string/value properties that will be passed
-            to the Fill constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the cell fill color. It accepts either a
-                    specific color or an array of colors or a 2D
-                    array of colors.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-
-        Returns
-        -------
-        plotly.graph_objs.table.cells.Fill
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.cells.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.table.cells.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # format
-    # ------
-    @property
-    def format(self):
-        """
-        Sets the cell value formatting rule using d3 formatting mini-
-        language which is similar to those of Python. See
-        https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format
-    
-        The 'format' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["format"]
-
-    @format.setter
-    def format(self, val):
-        self["format"] = val
-
-    # formatsrc
-    # ---------
-    @property
-    def formatsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  format .
-    
-        The 'formatsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["formatsrc"]
-
-    @formatsrc.setter
-    def formatsrc(self, val):
-        self["formatsrc"] = val
-
-    # height
-    # ------
-    @property
-    def height(self):
-        """
-        The height of cells.
-    
-        The 'height' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["height"]
-
-    @height.setter
-    def height(self, val):
-        self["height"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.table.cells.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-    
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.table.cells.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # prefix
-    # ------
-    @property
-    def prefix(self):
-        """
-        Prefix for cell values.
-    
-        The 'prefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["prefix"]
-
-    @prefix.setter
-    def prefix(self, val):
-        self["prefix"] = val
-
-    # prefixsrc
-    # ---------
-    @property
-    def prefixsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  prefix .
-    
-        The 'prefixsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["prefixsrc"]
-
-    @prefixsrc.setter
-    def prefixsrc(self, val):
-        self["prefixsrc"] = val
-
-    # suffix
-    # ------
-    @property
-    def suffix(self):
-        """
-        Suffix for cell values.
-    
-        The 'suffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["suffix"]
-
-    @suffix.setter
-    def suffix(self, val):
-        self["suffix"] = val
-
-    # suffixsrc
-    # ---------
-    @property
-    def suffixsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  suffix .
-    
-        The 'suffixsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["suffixsrc"]
-
-    @suffixsrc.setter
-    def suffixsrc(self, val):
-        self["suffixsrc"] = val
-
-    # values
-    # ------
-    @property
-    def values(self):
-        """
-        Cell values. `values[m][n]` represents the value of the `n`th
-        point in column `m`, therefore the `values[m]` vector length
-        for all columns must be the same (longer vectors will be
-        truncated). Each value must be a finite number or a string.
-    
-        The 'values' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["values"]
-
-    @values.setter
-    def values(self, val):
-        self["values"] = val
-
-    # valuessrc
-    # ---------
-    @property
-    def valuessrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  values .
-    
-        The 'valuessrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["valuessrc"]
-
-    @valuessrc.setter
-    def valuessrc(self, val):
-        self["valuessrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        fill
-            :class:`plotly.graph_objects.table.cells.Fill` instance
-            or dict with compatible properties
-        font
-            :class:`plotly.graph_objects.table.cells.Font` instance
-            or dict with compatible properties
-        format
-            Sets the cell value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        formatsrc
-            Sets the source reference on Chart Studio Cloud for
-            format .
-        height
-            The height of cells.
-        line
-            :class:`plotly.graph_objects.table.cells.Line` instance
-            or dict with compatible properties
-        prefix
-            Prefix for cell values.
-        prefixsrc
-            Sets the source reference on Chart Studio Cloud for
-            prefix .
-        suffix
-            Suffix for cell values.
-        suffixsrc
-            Sets the source reference on Chart Studio Cloud for
-            suffix .
-        values
-            Cell values. `values[m][n]` represents the value of the
-            `n`th point in column `m`, therefore the `values[m]`
-            vector length for all columns must be the same (longer
-            vectors will be truncated). Each value must be a finite
-            number or a string.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        fill=None,
-        font=None,
-        format=None,
-        formatsrc=None,
-        height=None,
-        line=None,
-        prefix=None,
-        prefixsrc=None,
-        suffix=None,
-        suffixsrc=None,
-        values=None,
-        valuessrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Cells object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.table.Cells`
-        align
-            Sets the horizontal alignment of the `text` within the
-            box. Has an effect only if `text` spans two or more
-            lines (i.e. `text` contains one or more <br> HTML tags)
-            or if an explicit width is set to override the text
-            width.
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        fill
-            :class:`plotly.graph_objects.table.cells.Fill` instance
-            or dict with compatible properties
-        font
-            :class:`plotly.graph_objects.table.cells.Font` instance
-            or dict with compatible properties
-        format
-            Sets the cell value formatting rule using d3 formatting
-            mini-language which is similar to those of Python. See
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format
-        formatsrc
-            Sets the source reference on Chart Studio Cloud for
-            format .
-        height
-            The height of cells.
-        line
-            :class:`plotly.graph_objects.table.cells.Line` instance
-            or dict with compatible properties
-        prefix
-            Prefix for cell values.
-        prefixsrc
-            Sets the source reference on Chart Studio Cloud for
-            prefix .
-        suffix
-            Suffix for cell values.
-        suffixsrc
-            Sets the source reference on Chart Studio Cloud for
-            suffix .
-        values
-            Cell values. `values[m][n]` represents the value of the
-            `n`th point in column `m`, therefore the `values[m]`
-            vector length for all columns must be the same (longer
-            vectors will be truncated). Each value must be a finite
-            number or a string.
-        valuessrc
-            Sets the source reference on Chart Studio Cloud for
-            values .
-
-        Returns
-        -------
-        Cells
-        """
-        super(Cells, self).__init__("cells")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.Cells 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.Cells`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table import cells as v_cells
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_cells.AlignValidator()
-        self._validators["alignsrc"] = v_cells.AlignsrcValidator()
-        self._validators["fill"] = v_cells.FillValidator()
-        self._validators["font"] = v_cells.FontValidator()
-        self._validators["format"] = v_cells.FormatValidator()
-        self._validators["formatsrc"] = v_cells.FormatsrcValidator()
-        self._validators["height"] = v_cells.HeightValidator()
-        self._validators["line"] = v_cells.LineValidator()
-        self._validators["prefix"] = v_cells.PrefixValidator()
-        self._validators["prefixsrc"] = v_cells.PrefixsrcValidator()
-        self._validators["suffix"] = v_cells.SuffixValidator()
-        self._validators["suffixsrc"] = v_cells.SuffixsrcValidator()
-        self._validators["values"] = v_cells.ValuesValidator()
-        self._validators["valuessrc"] = v_cells.ValuessrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("format", None)
-        self["format"] = format if format is not None else _v
-        _v = arg.pop("formatsrc", None)
-        self["formatsrc"] = formatsrc if formatsrc is not None else _v
-        _v = arg.pop("height", None)
-        self["height"] = height if height is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("prefix", None)
-        self["prefix"] = prefix if prefix is not None else _v
-        _v = arg.pop("prefixsrc", None)
-        self["prefixsrc"] = prefixsrc if prefixsrc is not None else _v
-        _v = arg.pop("suffix", None)
-        self["suffix"] = suffix if suffix is not None else _v
-        _v = arg.pop("suffixsrc", None)
-        self["suffixsrc"] = suffixsrc if suffixsrc is not None else _v
-        _v = arg.pop("values", None)
-        self["values"] = values if values is not None else _v
-        _v = arg.pop("valuessrc", None)
-        self["valuessrc"] = valuessrc if valuessrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Cells",
-    "Domain",
-    "Header",
-    "Hoverlabel",
-    "Stream",
-    "cells",
-    "header",
-    "hoverlabel",
-]
-
-from plotly.graph_objs.table import hoverlabel
-from plotly.graph_objs.table import header
-from plotly.graph_objs.table import cells
+import sys
+
+if sys.version_info < (3, 7):
+    from ._stream import Stream
+    from ._hoverlabel import Hoverlabel
+    from ._header import Header
+    from ._domain import Domain
+    from ._cells import Cells
+    from . import hoverlabel
+    from . import header
+    from . import cells
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".hoverlabel", ".header", ".cells"],
+        [
+            "._stream.Stream",
+            "._hoverlabel.Hoverlabel",
+            "._header.Header",
+            "._domain.Domain",
+            "._cells.Cells",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/table/_cells.py b/packages/python/plotly/plotly/graph_objs/table/_cells.py
new file mode 100644
index 00000000000..6510687e390
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/_cells.py
@@ -0,0 +1,606 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Cells(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table"
+    _path_str = "table.cells"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "fill",
+        "font",
+        "format",
+        "formatsrc",
+        "height",
+        "line",
+        "prefix",
+        "prefixsrc",
+        "suffix",
+        "suffixsrc",
+        "values",
+        "valuessrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the `text` within the box. Has
+        an effect only if `text` spans two or more lines (i.e. `text`
+        contains one or more <br> HTML tags) or if an explicit width is
+        set to override the text width.
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        The 'fill' property is an instance of Fill
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.cells.Fill`
+          - A dict of string/value properties that will be passed
+            to the Fill constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the cell fill color. It accepts either a
+                    specific color or an array of colors or a 2D
+                    array of colors.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+
+        Returns
+        -------
+        plotly.graph_objs.table.cells.Fill
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.cells.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.table.cells.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # format
+    # ------
+    @property
+    def format(self):
+        """
+        Sets the cell value formatting rule using d3 formatting mini-
+        language which is similar to those of Python. See
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'format' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["format"]
+
+    @format.setter
+    def format(self, val):
+        self["format"] = val
+
+    # formatsrc
+    # ---------
+    @property
+    def formatsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  format .
+    
+        The 'formatsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["formatsrc"]
+
+    @formatsrc.setter
+    def formatsrc(self, val):
+        self["formatsrc"] = val
+
+    # height
+    # ------
+    @property
+    def height(self):
+        """
+        The height of cells.
+    
+        The 'height' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["height"]
+
+    @height.setter
+    def height(self, val):
+        self["height"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.cells.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+    
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.table.cells.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # prefix
+    # ------
+    @property
+    def prefix(self):
+        """
+        Prefix for cell values.
+    
+        The 'prefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["prefix"]
+
+    @prefix.setter
+    def prefix(self, val):
+        self["prefix"] = val
+
+    # prefixsrc
+    # ---------
+    @property
+    def prefixsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  prefix .
+    
+        The 'prefixsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["prefixsrc"]
+
+    @prefixsrc.setter
+    def prefixsrc(self, val):
+        self["prefixsrc"] = val
+
+    # suffix
+    # ------
+    @property
+    def suffix(self):
+        """
+        Suffix for cell values.
+    
+        The 'suffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["suffix"]
+
+    @suffix.setter
+    def suffix(self, val):
+        self["suffix"] = val
+
+    # suffixsrc
+    # ---------
+    @property
+    def suffixsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  suffix .
+    
+        The 'suffixsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["suffixsrc"]
+
+    @suffixsrc.setter
+    def suffixsrc(self, val):
+        self["suffixsrc"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Cell values. `values[m][n]` represents the value of the `n`th
+        point in column `m`, therefore the `values[m]` vector length
+        for all columns must be the same (longer vectors will be
+        truncated). Each value must be a finite number or a string.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        fill
+            :class:`plotly.graph_objects.table.cells.Fill` instance
+            or dict with compatible properties
+        font
+            :class:`plotly.graph_objects.table.cells.Font` instance
+            or dict with compatible properties
+        format
+            Sets the cell value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        formatsrc
+            Sets the source reference on Chart Studio Cloud for
+            format .
+        height
+            The height of cells.
+        line
+            :class:`plotly.graph_objects.table.cells.Line` instance
+            or dict with compatible properties
+        prefix
+            Prefix for cell values.
+        prefixsrc
+            Sets the source reference on Chart Studio Cloud for
+            prefix .
+        suffix
+            Suffix for cell values.
+        suffixsrc
+            Sets the source reference on Chart Studio Cloud for
+            suffix .
+        values
+            Cell values. `values[m][n]` represents the value of the
+            `n`th point in column `m`, therefore the `values[m]`
+            vector length for all columns must be the same (longer
+            vectors will be truncated). Each value must be a finite
+            number or a string.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        fill=None,
+        font=None,
+        format=None,
+        formatsrc=None,
+        height=None,
+        line=None,
+        prefix=None,
+        prefixsrc=None,
+        suffix=None,
+        suffixsrc=None,
+        values=None,
+        valuessrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Cells object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.table.Cells`
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        fill
+            :class:`plotly.graph_objects.table.cells.Fill` instance
+            or dict with compatible properties
+        font
+            :class:`plotly.graph_objects.table.cells.Font` instance
+            or dict with compatible properties
+        format
+            Sets the cell value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        formatsrc
+            Sets the source reference on Chart Studio Cloud for
+            format .
+        height
+            The height of cells.
+        line
+            :class:`plotly.graph_objects.table.cells.Line` instance
+            or dict with compatible properties
+        prefix
+            Prefix for cell values.
+        prefixsrc
+            Sets the source reference on Chart Studio Cloud for
+            prefix .
+        suffix
+            Suffix for cell values.
+        suffixsrc
+            Sets the source reference on Chart Studio Cloud for
+            suffix .
+        values
+            Cell values. `values[m][n]` represents the value of the
+            `n`th point in column `m`, therefore the `values[m]`
+            vector length for all columns must be the same (longer
+            vectors will be truncated). Each value must be a finite
+            number or a string.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+
+        Returns
+        -------
+        Cells
+        """
+        super(Cells, self).__init__("cells")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.Cells 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.Cells`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("format", None)
+        _v = format if format is not None else _v
+        if _v is not None:
+            self["format"] = _v
+        _v = arg.pop("formatsrc", None)
+        _v = formatsrc if formatsrc is not None else _v
+        if _v is not None:
+            self["formatsrc"] = _v
+        _v = arg.pop("height", None)
+        _v = height if height is not None else _v
+        if _v is not None:
+            self["height"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("prefix", None)
+        _v = prefix if prefix is not None else _v
+        if _v is not None:
+            self["prefix"] = _v
+        _v = arg.pop("prefixsrc", None)
+        _v = prefixsrc if prefixsrc is not None else _v
+        if _v is not None:
+            self["prefixsrc"] = _v
+        _v = arg.pop("suffix", None)
+        _v = suffix if suffix is not None else _v
+        if _v is not None:
+            self["suffix"] = _v
+        _v = arg.pop("suffixsrc", None)
+        _v = suffixsrc if suffixsrc is not None else _v
+        if _v is not None:
+            self["suffixsrc"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/_domain.py b/packages/python/plotly/plotly/graph_objs/table/_domain.py
new file mode 100644
index 00000000000..63ce6428901
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/_domain.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table"
+    _path_str = "table.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this table trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this table trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this table trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this table trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this table trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this table trace .
+        x
+            Sets the horizontal domain of this table trace (in plot
+            fraction).
+        y
+            Sets the vertical domain of this table trace (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.table.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this table trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this table trace .
+        x
+            Sets the horizontal domain of this table trace (in plot
+            fraction).
+        y
+            Sets the vertical domain of this table trace (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/_header.py b/packages/python/plotly/plotly/graph_objs/table/_header.py
new file mode 100644
index 00000000000..706c93bdfad
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/_header.py
@@ -0,0 +1,606 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Header(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table"
+    _path_str = "table.header"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "fill",
+        "font",
+        "format",
+        "formatsrc",
+        "height",
+        "line",
+        "prefix",
+        "prefixsrc",
+        "suffix",
+        "suffixsrc",
+        "values",
+        "valuessrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the `text` within the box. Has
+        an effect only if `text` spans two or more lines (i.e. `text`
+        contains one or more <br> HTML tags) or if an explicit width is
+        set to override the text width.
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        The 'fill' property is an instance of Fill
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.header.Fill`
+          - A dict of string/value properties that will be passed
+            to the Fill constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the cell fill color. It accepts either a
+                    specific color or an array of colors or a 2D
+                    array of colors.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+
+        Returns
+        -------
+        plotly.graph_objs.table.header.Fill
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.header.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.table.header.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # format
+    # ------
+    @property
+    def format(self):
+        """
+        Sets the cell value formatting rule using d3 formatting mini-
+        language which is similar to those of Python. See
+        https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format
+    
+        The 'format' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["format"]
+
+    @format.setter
+    def format(self, val):
+        self["format"] = val
+
+    # formatsrc
+    # ---------
+    @property
+    def formatsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  format .
+    
+        The 'formatsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["formatsrc"]
+
+    @formatsrc.setter
+    def formatsrc(self, val):
+        self["formatsrc"] = val
+
+    # height
+    # ------
+    @property
+    def height(self):
+        """
+        The height of cells.
+    
+        The 'height' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["height"]
+
+    @height.setter
+    def height(self, val):
+        self["height"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.header.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+    
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.table.header.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # prefix
+    # ------
+    @property
+    def prefix(self):
+        """
+        Prefix for cell values.
+    
+        The 'prefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["prefix"]
+
+    @prefix.setter
+    def prefix(self, val):
+        self["prefix"] = val
+
+    # prefixsrc
+    # ---------
+    @property
+    def prefixsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  prefix .
+    
+        The 'prefixsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["prefixsrc"]
+
+    @prefixsrc.setter
+    def prefixsrc(self, val):
+        self["prefixsrc"] = val
+
+    # suffix
+    # ------
+    @property
+    def suffix(self):
+        """
+        Suffix for cell values.
+    
+        The 'suffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["suffix"]
+
+    @suffix.setter
+    def suffix(self, val):
+        self["suffix"] = val
+
+    # suffixsrc
+    # ---------
+    @property
+    def suffixsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  suffix .
+    
+        The 'suffixsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["suffixsrc"]
+
+    @suffixsrc.setter
+    def suffixsrc(self, val):
+        self["suffixsrc"] = val
+
+    # values
+    # ------
+    @property
+    def values(self):
+        """
+        Header cell values. `values[m][n]` represents the value of the
+        `n`th point in column `m`, therefore the `values[m]` vector
+        length for all columns must be the same (longer vectors will be
+        truncated). Each value must be a finite number or a string.
+    
+        The 'values' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["values"]
+
+    @values.setter
+    def values(self, val):
+        self["values"] = val
+
+    # valuessrc
+    # ---------
+    @property
+    def valuessrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  values .
+    
+        The 'valuessrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["valuessrc"]
+
+    @valuessrc.setter
+    def valuessrc(self, val):
+        self["valuessrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        fill
+            :class:`plotly.graph_objects.table.header.Fill`
+            instance or dict with compatible properties
+        font
+            :class:`plotly.graph_objects.table.header.Font`
+            instance or dict with compatible properties
+        format
+            Sets the cell value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        formatsrc
+            Sets the source reference on Chart Studio Cloud for
+            format .
+        height
+            The height of cells.
+        line
+            :class:`plotly.graph_objects.table.header.Line`
+            instance or dict with compatible properties
+        prefix
+            Prefix for cell values.
+        prefixsrc
+            Sets the source reference on Chart Studio Cloud for
+            prefix .
+        suffix
+            Suffix for cell values.
+        suffixsrc
+            Sets the source reference on Chart Studio Cloud for
+            suffix .
+        values
+            Header cell values. `values[m][n]` represents the value
+            of the `n`th point in column `m`, therefore the
+            `values[m]` vector length for all columns must be the
+            same (longer vectors will be truncated). Each value
+            must be a finite number or a string.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        fill=None,
+        font=None,
+        format=None,
+        formatsrc=None,
+        height=None,
+        line=None,
+        prefix=None,
+        prefixsrc=None,
+        suffix=None,
+        suffixsrc=None,
+        values=None,
+        valuessrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Header object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.table.Header`
+        align
+            Sets the horizontal alignment of the `text` within the
+            box. Has an effect only if `text` spans two or more
+            lines (i.e. `text` contains one or more <br> HTML tags)
+            or if an explicit width is set to override the text
+            width.
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        fill
+            :class:`plotly.graph_objects.table.header.Fill`
+            instance or dict with compatible properties
+        font
+            :class:`plotly.graph_objects.table.header.Font`
+            instance or dict with compatible properties
+        format
+            Sets the cell value formatting rule using d3 formatting
+            mini-language which is similar to those of Python. See
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format
+        formatsrc
+            Sets the source reference on Chart Studio Cloud for
+            format .
+        height
+            The height of cells.
+        line
+            :class:`plotly.graph_objects.table.header.Line`
+            instance or dict with compatible properties
+        prefix
+            Prefix for cell values.
+        prefixsrc
+            Sets the source reference on Chart Studio Cloud for
+            prefix .
+        suffix
+            Suffix for cell values.
+        suffixsrc
+            Sets the source reference on Chart Studio Cloud for
+            suffix .
+        values
+            Header cell values. `values[m][n]` represents the value
+            of the `n`th point in column `m`, therefore the
+            `values[m]` vector length for all columns must be the
+            same (longer vectors will be truncated). Each value
+            must be a finite number or a string.
+        valuessrc
+            Sets the source reference on Chart Studio Cloud for
+            values .
+
+        Returns
+        -------
+        Header
+        """
+        super(Header, self).__init__("header")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.Header 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.Header`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("format", None)
+        _v = format if format is not None else _v
+        if _v is not None:
+            self["format"] = _v
+        _v = arg.pop("formatsrc", None)
+        _v = formatsrc if formatsrc is not None else _v
+        if _v is not None:
+            self["formatsrc"] = _v
+        _v = arg.pop("height", None)
+        _v = height if height is not None else _v
+        if _v is not None:
+            self["height"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("prefix", None)
+        _v = prefix if prefix is not None else _v
+        if _v is not None:
+            self["prefix"] = _v
+        _v = arg.pop("prefixsrc", None)
+        _v = prefixsrc if prefixsrc is not None else _v
+        if _v is not None:
+            self["prefixsrc"] = _v
+        _v = arg.pop("suffix", None)
+        _v = suffix if suffix is not None else _v
+        if _v is not None:
+            self["suffix"] = _v
+        _v = arg.pop("suffixsrc", None)
+        _v = suffixsrc if suffixsrc is not None else _v
+        if _v is not None:
+            self["suffixsrc"] = _v
+        _v = arg.pop("values", None)
+        _v = values if values is not None else _v
+        if _v is not None:
+            self["values"] = _v
+        _v = arg.pop("valuessrc", None)
+        _v = valuessrc if valuessrc is not None else _v
+        if _v is not None:
+            self["valuessrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/table/_hoverlabel.py
new file mode 100644
index 00000000000..855f17c3310
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table"
+    _path_str = "table.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.table.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.table.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/_stream.py b/packages/python/plotly/plotly/graph_objs/table/_stream.py
new file mode 100644
index 00000000000..d90679aaece
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table"
+    _path_str = "table.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.table.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/cells/__init__.py b/packages/python/plotly/plotly/graph_objs/table/cells/__init__.py
index 2dda006c5a9..735d76cba9b 100644
--- a/packages/python/plotly/plotly/graph_objs/table/cells/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/table/cells/__init__.py
@@ -1,727 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        The 'width' property is a number and may be specified as:
-          - An int or float
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.cells"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.cells.Line`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.cells.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.cells.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.cells import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.cells"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.cells.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.cells.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.cells.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.cells import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Fill(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the cell fill color. It accepts either a specific color or
-        an array of colors or a 2D array of colors.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.cells"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the cell fill color. It accepts either a specific
-            color or an array of colors or a 2D array of colors.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        """
-
-    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
-        """
-        Construct a new Fill object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.cells.Fill`
-        color
-            Sets the cell fill color. It accepts either a specific
-            color or an array of colors or a 2D array of colors.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-
-        Returns
-        -------
-        Fill
-        """
-        super(Fill, self).__init__("fill")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.cells.Fill 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.cells.Fill`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.cells import fill as v_fill
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_fill.ColorValidator()
-        self._validators["colorsrc"] = v_fill.ColorsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Fill", "Font", "Line"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._font import Font
+    from ._fill import Fill
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.Line", "._font.Font", "._fill.Fill"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/table/cells/_fill.py b/packages/python/plotly/plotly/graph_objs/table/cells/_fill.py
new file mode 100644
index 00000000000..3a155550d18
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/cells/_fill.py
@@ -0,0 +1,171 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Fill(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.cells"
+    _path_str = "table.cells.fill"
+    _valid_props = {"color", "colorsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the cell fill color. It accepts either a specific color or
+        an array of colors or a 2D array of colors.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the cell fill color. It accepts either a specific
+            color or an array of colors or a 2D array of colors.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        """
+
+    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
+        """
+        Construct a new Fill object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.cells.Fill`
+        color
+            Sets the cell fill color. It accepts either a specific
+            color or an array of colors or a 2D array of colors.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+
+        Returns
+        -------
+        Fill
+        """
+        super(Fill, self).__init__("fill")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.cells.Fill 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.cells.Fill`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/cells/_font.py b/packages/python/plotly/plotly/graph_objs/table/cells/_font.py
new file mode 100644
index 00000000000..ef09bb8b2e0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/cells/_font.py
@@ -0,0 +1,327 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.cells"
+    _path_str = "table.cells.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.cells.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.cells.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.cells.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/cells/_line.py b/packages/python/plotly/plotly/graph_objs/table/cells/_line.py
new file mode 100644
index 00000000000..dea3f3ecd60
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/cells/_line.py
@@ -0,0 +1,225 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.cells"
+    _path_str = "table.cells.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        The 'width' property is a number and may be specified as:
+          - An int or float
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.cells.Line`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.cells.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.cells.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/header/__init__.py b/packages/python/plotly/plotly/graph_objs/table/header/__init__.py
index e18b41781e1..735d76cba9b 100644
--- a/packages/python/plotly/plotly/graph_objs/table/header/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/table/header/__init__.py
@@ -1,727 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        The 'width' property is a number and may be specified as:
-          - An int or float
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.header"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.header.Line`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.header.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.header.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.header import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.header"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.header.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.header.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.header.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.header import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Fill(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the cell fill color. It accepts either a specific color or
-        an array of colors or a 2D array of colors.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.header"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the cell fill color. It accepts either a specific
-            color or an array of colors or a 2D array of colors.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        """
-
-    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
-        """
-        Construct a new Fill object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.header.Fill`
-        color
-            Sets the cell fill color. It accepts either a specific
-            color or an array of colors or a 2D array of colors.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-
-        Returns
-        -------
-        Fill
-        """
-        super(Fill, self).__init__("fill")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.header.Fill 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.header.Fill`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.header import fill as v_fill
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_fill.ColorValidator()
-        self._validators["colorsrc"] = v_fill.ColorsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Fill", "Font", "Line"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import Line
+    from ._font import Font
+    from ._fill import Fill
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.Line", "._font.Font", "._fill.Fill"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/table/header/_fill.py b/packages/python/plotly/plotly/graph_objs/table/header/_fill.py
new file mode 100644
index 00000000000..7aa8406b276
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/header/_fill.py
@@ -0,0 +1,171 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Fill(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.header"
+    _path_str = "table.header.fill"
+    _valid_props = {"color", "colorsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the cell fill color. It accepts either a specific color or
+        an array of colors or a 2D array of colors.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the cell fill color. It accepts either a specific
+            color or an array of colors or a 2D array of colors.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        """
+
+    def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
+        """
+        Construct a new Fill object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.header.Fill`
+        color
+            Sets the cell fill color. It accepts either a specific
+            color or an array of colors or a 2D array of colors.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+
+        Returns
+        -------
+        Fill
+        """
+        super(Fill, self).__init__("fill")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.header.Fill 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.header.Fill`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/header/_font.py b/packages/python/plotly/plotly/graph_objs/table/header/_font.py
new file mode 100644
index 00000000000..47cfa3f0776
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/header/_font.py
@@ -0,0 +1,327 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.header"
+    _path_str = "table.header.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.header.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.header.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.header.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/header/_line.py b/packages/python/plotly/plotly/graph_objs/table/header/_line.py
new file mode 100644
index 00000000000..375ba5c4997
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/header/_line.py
@@ -0,0 +1,225 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.header"
+    _path_str = "table.header.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        The 'width' property is a number and may be specified as:
+          - An int or float
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.header.Line`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.header.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.header.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/table/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/table/hoverlabel/__init__.py
index dd733101d1f..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/table/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/table/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "table.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.table.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.table.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.table.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.table.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/table/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/table/hoverlabel/_font.py
new file mode 100644
index 00000000000..e53df1d4d45
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/table/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "table.hoverlabel"
+    _path_str = "table.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.table.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.table.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.table.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/__init__.py b/packages/python/plotly/plotly/graph_objs/treemap/__init__.py
index 0b4d7b254dd..3e6ca82508f 100644
--- a/packages/python/plotly/plotly/graph_objs/treemap/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/treemap/__init__.py
@@ -1,3279 +1,33 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tiling(_BaseTraceHierarchyType):
-
-    # flip
-    # ----
-    @property
-    def flip(self):
-        """
-        Determines if the positions obtained from solver are flipped on
-        each axis.
-    
-        The 'flip' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['x', 'y'] joined with '+' characters
-            (e.g. 'x+y')
-
-        Returns
-        -------
-        Any
-        """
-        return self["flip"]
-
-    @flip.setter
-    def flip(self, val):
-        self["flip"] = val
-
-    # packing
-    # -------
-    @property
-    def packing(self):
-        """
-        Determines d3 treemap solver. For more info please refer to
-        https://github.com/d3/d3-hierarchy#treemap-tiling
-    
-        The 'packing' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['squarify', 'binary', 'dice', 'slice', 'slice-dice',
-                'dice-slice']
-
-        Returns
-        -------
-        Any
-        """
-        return self["packing"]
-
-    @packing.setter
-    def packing(self, val):
-        self["packing"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        Sets the inner padding (in px).
-    
-        The 'pad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # squarifyratio
-    # -------------
-    @property
-    def squarifyratio(self):
-        """
-        When using "squarify" `packing` algorithm, according to https:/
-        /github.com/d3/d3-hierarchy/blob/master/README.md#squarify_rati
-        o this option specifies the desired aspect ratio of the
-        generated rectangles. The ratio must be specified as a number
-        greater than or equal to one. Note that the orientation of the
-        generated rectangles (tall or wide) is not implied by the
-        ratio; for example, a ratio of two will attempt to produce a
-        mixture of rectangles whose width:height ratio is either 2:1 or
-        1:2. When using "squarify", unlike d3 which uses the Golden
-        Ratio i.e. 1.618034, Plotly applies 1 to increase squares in
-        treemap layouts.
-    
-        The 'squarifyratio' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["squarifyratio"]
-
-    @squarifyratio.setter
-    def squarifyratio(self, val):
-        self["squarifyratio"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        flip
-            Determines if the positions obtained from solver are
-            flipped on each axis.
-        packing
-            Determines d3 treemap solver. For more info please
-            refer to https://github.com/d3/d3-hierarchy#treemap-
-            tiling
-        pad
-            Sets the inner padding (in px).
-        squarifyratio
-            When using "squarify" `packing` algorithm, according to
-            https://github.com/d3/d3-hierarchy/blob/master/README.m
-            d#squarify_ratio this option specifies the desired
-            aspect ratio of the generated rectangles. The ratio
-            must be specified as a number greater than or equal to
-            one. Note that the orientation of the generated
-            rectangles (tall or wide) is not implied by the ratio;
-            for example, a ratio of two will attempt to produce a
-            mixture of rectangles whose width:height ratio is
-            either 2:1 or 1:2. When using "squarify", unlike d3
-            which uses the Golden Ratio i.e. 1.618034, Plotly
-            applies 1 to increase squares in treemap layouts.
-        """
-
-    def __init__(
-        self, arg=None, flip=None, packing=None, pad=None, squarifyratio=None, **kwargs
-    ):
-        """
-        Construct a new Tiling object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Tiling`
-        flip
-            Determines if the positions obtained from solver are
-            flipped on each axis.
-        packing
-            Determines d3 treemap solver. For more info please
-            refer to https://github.com/d3/d3-hierarchy#treemap-
-            tiling
-        pad
-            Sets the inner padding (in px).
-        squarifyratio
-            When using "squarify" `packing` algorithm, according to
-            https://github.com/d3/d3-hierarchy/blob/master/README.m
-            d#squarify_ratio this option specifies the desired
-            aspect ratio of the generated rectangles. The ratio
-            must be specified as a number greater than or equal to
-            one. Note that the orientation of the generated
-            rectangles (tall or wide) is not implied by the ratio;
-            for example, a ratio of two will attempt to produce a
-            mixture of rectangles whose width:height ratio is
-            either 2:1 or 1:2. When using "squarify", unlike d3
-            which uses the Golden Ratio i.e. 1.618034, Plotly
-            applies 1 to increase squares in treemap layouts.
-
-        Returns
-        -------
-        Tiling
-        """
-        super(Tiling, self).__init__("tiling")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Tiling 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Tiling`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import tiling as v_tiling
-
-        # Initialize validators
-        # ---------------------
-        self._validators["flip"] = v_tiling.FlipValidator()
-        self._validators["packing"] = v_tiling.PackingValidator()
-        self._validators["pad"] = v_tiling.PadValidator()
-        self._validators["squarifyratio"] = v_tiling.SquarifyratioValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("flip", None)
-        self["flip"] = flip if flip is not None else _v
-        _v = arg.pop("packing", None)
-        self["packing"] = packing if packing is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("squarifyratio", None)
-        self["squarifyratio"] = squarifyratio if squarifyratio is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `textinfo`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Pathbar(_BaseTraceHierarchyType):
-
-    # edgeshape
-    # ---------
-    @property
-    def edgeshape(self):
-        """
-        Determines which shape is used for edges between `barpath`
-        labels.
-    
-        The 'edgeshape' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['>', '<', '|', '\\']
-          - A string that matches one of the following regular expressions:
-                ['']
-
-        Returns
-        -------
-        Any
-        """
-        return self["edgeshape"]
-
-    @edgeshape.setter
-    def edgeshape(self, val):
-        self["edgeshape"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines on which side of the the treemap the `pathbar`
-        should be presented.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # textfont
-    # --------
-    @property
-    def textfont(self):
-        """
-        Sets the font used inside `pathbar`.
-    
-        The 'textfont' property is an instance of Textfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.pathbar.Textfont`
-          - A dict of string/value properties that will be passed
-            to the Textfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.pathbar.Textfont
-        """
-        return self["textfont"]
-
-    @textfont.setter
-    def textfont(self, val):
-        self["textfont"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of `pathbar` (in px). If not specified the
-        `pathbar.textfont.size` is used with 3 pixles extra padding on
-        each side.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [12, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines if the path bar is drawn i.e. outside the trace
-        `domain` and with one pixel gap.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        edgeshape
-            Determines which shape is used for edges between
-            `barpath` labels.
-        side
-            Determines on which side of the the treemap the
-            `pathbar` should be presented.
-        textfont
-            Sets the font used inside `pathbar`.
-        thickness
-            Sets the thickness of `pathbar` (in px). If not
-            specified the `pathbar.textfont.size` is used with 3
-            pixles extra padding on each side.
-        visible
-            Determines if the path bar is drawn i.e. outside the
-            trace `domain` and with one pixel gap.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        edgeshape=None,
-        side=None,
-        textfont=None,
-        thickness=None,
-        visible=None,
-        **kwargs
-    ):
-        """
-        Construct a new Pathbar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Pathbar`
-        edgeshape
-            Determines which shape is used for edges between
-            `barpath` labels.
-        side
-            Determines on which side of the the treemap the
-            `pathbar` should be presented.
-        textfont
-            Sets the font used inside `pathbar`.
-        thickness
-            Sets the thickness of `pathbar` (in px). If not
-            specified the `pathbar.textfont.size` is used with 3
-            pixles extra padding on each side.
-        visible
-            Determines if the path bar is drawn i.e. outside the
-            trace `domain` and with one pixel gap.
-
-        Returns
-        -------
-        Pathbar
-        """
-        super(Pathbar, self).__init__("pathbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Pathbar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Pathbar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import pathbar as v_pathbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["edgeshape"] = v_pathbar.EdgeshapeValidator()
-        self._validators["side"] = v_pathbar.SideValidator()
-        self._validators["textfont"] = v_pathbar.TextfontValidator()
-        self._validators["thickness"] = v_pathbar.ThicknessValidator()
-        self._validators["visible"] = v_pathbar.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("edgeshape", None)
-        self["edgeshape"] = edgeshape if edgeshape is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("textfont", None)
-        self["textfont"] = textfont if textfont is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Outsidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Outsidetextfont object
-        
-        Sets the font used for `textinfo` lying outside the sector.
-        This option refers to the root of the hierarchy presented on
-        top left corner of a treemap graph. Please note that if a
-        hierarchy has multiple root nodes, this option won't have any
-        effect and `insidetextfont` would be used.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Outsidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Outsidetextfont
-        """
-        super(Outsidetextfont, self).__init__("outsidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Outsidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Outsidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import outsidetextfont as v_outsidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_outsidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_outsidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_outsidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_outsidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_outsidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_outsidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # autocolorscale
-    # --------------
-    @property
-    def autocolorscale(self):
-        """
-        Determines whether the colorscale is a default palette
-        (`autocolorscale: true`) or the palette determined by
-        `marker.colorscale`. Has an effect only if colorsis set to a
-        numerical array. In case `colorscale` is unspecified or
-        `autocolorscale` is true, the default  palette will be chosen
-        according to whether numbers in the `color` array are all
-        positive, all negative or mixed.
-    
-        The 'autocolorscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["autocolorscale"]
-
-    @autocolorscale.setter
-    def autocolorscale(self, val):
-        self["autocolorscale"] = val
-
-    # cauto
-    # -----
-    @property
-    def cauto(self):
-        """
-        Determines whether or not the color domain is computed with
-        respect to the input data (here colors) or the bounds set in
-        `marker.cmin` and `marker.cmax`  Has an effect only if colorsis
-        set to a numerical array. Defaults to `false` when
-        `marker.cmin` and `marker.cmax` are set by the user.
-    
-        The 'cauto' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["cauto"]
-
-    @cauto.setter
-    def cauto(self, val):
-        self["cauto"] = val
-
-    # cmax
-    # ----
-    @property
-    def cmax(self):
-        """
-        Sets the upper bound of the color domain. Has an effect only if
-        colorsis set to a numerical array. Value should have the same
-        units as colors and if set, `marker.cmin` must be set as well.
-    
-        The 'cmax' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmax"]
-
-    @cmax.setter
-    def cmax(self, val):
-        self["cmax"] = val
-
-    # cmid
-    # ----
-    @property
-    def cmid(self):
-        """
-        Sets the mid-point of the color domain by scaling `marker.cmin`
-        and/or `marker.cmax` to be equidistant to this point. Has an
-        effect only if colorsis set to a numerical array. Value should
-        have the same units as colors. Has no effect when
-        `marker.cauto` is `false`.
-    
-        The 'cmid' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmid"]
-
-    @cmid.setter
-    def cmid(self, val):
-        self["cmid"] = val
-
-    # cmin
-    # ----
-    @property
-    def cmin(self):
-        """
-        Sets the lower bound of the color domain. Has an effect only if
-        colorsis set to a numerical array. Value should have the same
-        units as colors and if set, `marker.cmax` must be set as well.
-    
-        The 'cmin' property is a number and may be specified as:
-          - An int or float
-
-        Returns
-        -------
-        int|float
-        """
-        return self["cmin"]
-
-    @cmin.setter
-    def cmin(self, val):
-        self["cmin"] = val
-
-    # coloraxis
-    # ---------
-    @property
-    def coloraxis(self):
-        """
-        Sets a reference to a shared color axis. References to these
-        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
-        etc. Settings for these shared color axes are set in the
-        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
-        Note that multiple color scales can be linked to the same color
-        axis.
-    
-        The 'coloraxis' property is an identifier of a particular
-        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
-        optionally followed by an integer >= 1
-        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
-
-        Returns
-        -------
-        str
-        """
-        return self["coloraxis"]
-
-    @coloraxis.setter
-    def coloraxis(self, val):
-        self["coloraxis"] = val
-
-    # colorbar
-    # --------
-    @property
-    def colorbar(self):
-        """
-        The 'colorbar' property is an instance of ColorBar
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.ColorBar`
-          - A dict of string/value properties that will be passed
-            to the ColorBar constructor
-    
-            Supported dict properties:
-                
-                bgcolor
-                    Sets the color of padded area.
-                bordercolor
-                    Sets the axis line color.
-                borderwidth
-                    Sets the width (in px) or the border enclosing
-                    this color bar.
-                dtick
-                    Sets the step in-between ticks on this axis.
-                    Use with `tick0`. Must be a positive number, or
-                    special strings available to "log" and "date"
-                    axes. If the axis `type` is "log", then ticks
-                    are set every 10^(n*dtick) where n is the tick
-                    number. For example, to set a tick mark at 1,
-                    10, 100, 1000, ... set dtick to 1. To set tick
-                    marks at 1, 100, 10000, ... set dtick to 2. To
-                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                    set dtick to log_10(5), or 0.69897000433. "log"
-                    has several special values; "L<f>", where `f`
-                    is a positive number, gives ticks linearly
-                    spaced in value (but not position). For example
-                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                    plus small digits between, use "D1" (all
-                    digits) or "D2" (only 2 and 5). `tick0` is
-                    ignored for "D1" and "D2". If the axis `type`
-                    is "date", then you must convert the time to
-                    milliseconds. For example, to set the interval
-                    between ticks to one day, set `dtick` to
-                    86400000.0. "date" also has special values
-                    "M<n>" gives ticks spaced by a number of
-                    months. `n` must be a positive integer. To set
-                    ticks on the 15th of every third month, set
-                    `tick0` to "2000-01-15" and `dtick` to "M3". To
-                    set ticks every 4 years, set `dtick` to "M48"
-                exponentformat
-                    Determines a formatting rule for the tick
-                    exponents. For example, consider the number
-                    1,000,000,000. If "none", it appears as
-                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                    "power", 1x10^9 (with 9 in a super script). If
-                    "SI", 1G. If "B", 1B.
-                len
-                    Sets the length of the color bar This measure
-                    excludes the padding of both ends. That is, the
-                    color bar length is this length minus the
-                    padding on both ends.
-                lenmode
-                    Determines whether this color bar's length
-                    (i.e. the measure in the color variation
-                    direction) is set in units of plot "fraction"
-                    or in *pixels. Use `len` to set the value.
-                nticks
-                    Specifies the maximum number of ticks for the
-                    particular axis. The actual number of ticks
-                    will be chosen automatically to be less than or
-                    equal to `nticks`. Has an effect only if
-                    `tickmode` is set to "auto".
-                outlinecolor
-                    Sets the axis line color.
-                outlinewidth
-                    Sets the width (in px) of the axis line.
-                separatethousands
-                    If "true", even 4-digit integers are separated
-                showexponent
-                    If "all", all exponents are shown besides their
-                    significands. If "first", only the exponent of
-                    the first tick is shown. If "last", only the
-                    exponent of the last tick is shown. If "none",
-                    no exponents appear.
-                showticklabels
-                    Determines whether or not the tick labels are
-                    drawn.
-                showtickprefix
-                    If "all", all tick labels are displayed with a
-                    prefix. If "first", only the first tick is
-                    displayed with a prefix. If "last", only the
-                    last tick is displayed with a suffix. If
-                    "none", tick prefixes are hidden.
-                showticksuffix
-                    Same as `showtickprefix` but for tick suffixes.
-                thickness
-                    Sets the thickness of the color bar This
-                    measure excludes the size of the padding, ticks
-                    and labels.
-                thicknessmode
-                    Determines whether this color bar's thickness
-                    (i.e. the measure in the constant color
-                    direction) is set in units of plot "fraction"
-                    or in "pixels". Use `thickness` to set the
-                    value.
-                tick0
-                    Sets the placement of the first tick on this
-                    axis. Use with `dtick`. If the axis `type` is
-                    "log", then you must take the log of your
-                    starting tick (e.g. to set the starting tick to
-                    100, set the `tick0` to 2) except when
-                    `dtick`=*L<f>* (see `dtick` for more info). If
-                    the axis `type` is "date", it should be a date
-                    string, like date data. If the axis `type` is
-                    "category", it should be a number, using the
-                    scale where each category is assigned a serial
-                    number from zero in the order it appears.
-                tickangle
-                    Sets the angle of the tick labels with respect
-                    to the horizontal. For example, a `tickangle`
-                    of -90 draws the tick labels vertically.
-                tickcolor
-                    Sets the tick color.
-                tickfont
-                    Sets the color bar's tick label font
-                tickformat
-                    Sets the tick label formatting rule using d3
-                    formatting mini-languages which are very
-                    similar to those in Python. For numbers, see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Formatting.md#d3_format
-                    And for dates see:
-                    https://github.com/d3/d3-3.x-api-
-                    reference/blob/master/Time-Formatting.md#format
-                    We add one item to d3's date formatter: "%{n}f"
-                    for fractional seconds with n digits. For
-                    example, *2016-10-13 09:15:23.456* with
-                    tickformat "%H~%M~%S.%2f" would display
-                    "09~15~23.46"
-                tickformatstops
-                    A tuple of :class:`plotly.graph_objects.treemap
-                    .marker.colorbar.Tickformatstop` instances or
-                    dicts with compatible properties
-                tickformatstopdefaults
-                    When used in a template (as layout.template.dat
-                    a.treemap.marker.colorbar.tickformatstopdefault
-                    s), sets the default property values to use for
-                    elements of
-                    treemap.marker.colorbar.tickformatstops
-                ticklen
-                    Sets the tick length (in px).
-                tickmode
-                    Sets the tick mode for this axis. If "auto",
-                    the number of ticks is set via `nticks`. If
-                    "linear", the placement of the ticks is
-                    determined by a starting position `tick0` and a
-                    tick step `dtick` ("linear" is the default
-                    value if `tick0` and `dtick` are provided). If
-                    "array", the placement of the ticks is set via
-                    `tickvals` and the tick text is `ticktext`.
-                    ("array" is the default value if `tickvals` is
-                    provided).
-                tickprefix
-                    Sets a tick label prefix.
-                ticks
-                    Determines whether ticks are drawn or not. If
-                    "", this axis' ticks are not drawn. If
-                    "outside" ("inside"), this axis' are drawn
-                    outside (inside) the axis lines.
-                ticksuffix
-                    Sets a tick label suffix.
-                ticktext
-                    Sets the text displayed at the ticks position
-                    via `tickvals`. Only has an effect if
-                    `tickmode` is set to "array". Used with
-                    `tickvals`.
-                ticktextsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  ticktext .
-                tickvals
-                    Sets the values at which ticks on this axis
-                    appear. Only has an effect if `tickmode` is set
-                    to "array". Used with `ticktext`.
-                tickvalssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  tickvals .
-                tickwidth
-                    Sets the tick width (in px).
-                title
-                    :class:`plotly.graph_objects.treemap.marker.col
-                    orbar.Title` instance or dict with compatible
-                    properties
-                titlefont
-                    Deprecated: Please use
-                    treemap.marker.colorbar.title.font instead.
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                titleside
-                    Deprecated: Please use
-                    treemap.marker.colorbar.title.side instead.
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                x
-                    Sets the x position of the color bar (in plot
-                    fraction).
-                xanchor
-                    Sets this color bar's horizontal position
-                    anchor. This anchor binds the `x` position to
-                    the "left", "center" or "right" of the color
-                    bar.
-                xpad
-                    Sets the amount of padding (in px) along the x
-                    direction.
-                y
-                    Sets the y position of the color bar (in plot
-                    fraction).
-                yanchor
-                    Sets this color bar's vertical position anchor
-                    This anchor binds the `y` position to the
-                    "top", "middle" or "bottom" of the color bar.
-                ypad
-                    Sets the amount of padding (in px) along the y
-                    direction.
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.ColorBar
-        """
-        return self["colorbar"]
-
-    @colorbar.setter
-    def colorbar(self, val):
-        self["colorbar"] = val
-
-    # colors
-    # ------
-    @property
-    def colors(self):
-        """
-        Sets the color of each sector of this trace. If not specified,
-        the default trace color set is used to pick the sector colors.
-    
-        The 'colors' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["colors"]
-
-    @colors.setter
-    def colors(self, val):
-        self["colors"] = val
-
-    # colorscale
-    # ----------
-    @property
-    def colorscale(self):
-        """
-        Sets the colorscale. Has an effect only if colorsis set to a
-        numerical array. The colorscale must be an array containing
-        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
-        hsv, or named color string. At minimum, a mapping for the
-        lowest (0) and highest (1) values are required. For example,
-        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
-        bounds of the colorscale in color space, use`marker.cmin` and
-        `marker.cmax`. Alternatively, `colorscale` may be a palette
-        name string of the following list: Greys,YlGnBu,Greens,YlOrRd,B
-        luered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbod
-        y,Earth,Electric,Viridis,Cividis.
-    
-        The 'colorscale' property is a colorscale and may be
-        specified as:
-          - A list of colors that will be spaced evenly to create the colorscale.
-            Many predefined colorscale lists are included in the sequential, diverging,
-            and cyclical modules in the plotly.colors package.
-          - A list of 2-element lists where the first element is the
-            normalized color level value (starting at 0 and ending at 1), 
-            and the second item is a valid color string.
-            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
-          - One of the following named colorscales:
-                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
-                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
-                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
-                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
-                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
-                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
-                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
-                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
-                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
-                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
-                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
-                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
-                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
-                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
-            Appending '_r' to a named colorscale reverses it.
-
-        Returns
-        -------
-        str
-        """
-        return self["colorscale"]
-
-    @colorscale.setter
-    def colorscale(self, val):
-        self["colorscale"] = val
-
-    # colorssrc
-    # ---------
-    @property
-    def colorssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  colors .
-    
-        The 'colorssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorssrc"]
-
-    @colorssrc.setter
-    def colorssrc(self, val):
-        self["colorssrc"] = val
-
-    # depthfade
-    # ---------
-    @property
-    def depthfade(self):
-        """
-        Determines if the sector colors are faded towards the
-        background from the leaves up to the headers. This option is
-        unavailable when a `colorscale` is present, defaults to false
-        when `marker.colors` is set, but otherwise defaults to true.
-        When set to "reversed", the fading direction is inverted, that
-        is the top elements within hierarchy are drawn with fully
-        saturated colors while the leaves are faded towards the
-        background color.
-    
-        The 'depthfade' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [True, False, 'reversed']
-
-        Returns
-        -------
-        Any
-        """
-        return self["depthfade"]
-
-    @depthfade.setter
-    def depthfade(self, val):
-        self["depthfade"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the color of the line enclosing each
-                    sector. Defaults to the `paper_bgcolor` value.
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                width
-                    Sets the width (in px) of the line enclosing
-                    each sector.
-                widthsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  width .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # pad
-    # ---
-    @property
-    def pad(self):
-        """
-        The 'pad' property is an instance of Pad
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.Pad`
-          - A dict of string/value properties that will be passed
-            to the Pad constructor
-    
-            Supported dict properties:
-                
-                b
-                    Sets the padding form the bottom (in px).
-                l
-                    Sets the padding form the left (in px).
-                r
-                    Sets the padding form the right (in px).
-                t
-                    Sets the padding form the top (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.Pad
-        """
-        return self["pad"]
-
-    @pad.setter
-    def pad(self, val):
-        self["pad"] = val
-
-    # reversescale
-    # ------------
-    @property
-    def reversescale(self):
-        """
-        Reverses the color mapping if true. Has an effect only if
-        colorsis set to a numerical array. If true, `marker.cmin` will
-        correspond to the last color in the array and `marker.cmax`
-        will correspond to the first color.
-    
-        The 'reversescale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["reversescale"]
-
-    @reversescale.setter
-    def reversescale(self, val):
-        self["reversescale"] = val
-
-    # showscale
-    # ---------
-    @property
-    def showscale(self):
-        """
-        Determines whether or not a colorbar is displayed for this
-        trace. Has an effect only if colorsis set to a numerical array.
-    
-        The 'showscale' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showscale"]
-
-    @showscale.setter
-    def showscale(self, val):
-        self["showscale"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if colorsis set
-            to a numerical array. In case `colorscale` is
-            unspecified or `autocolorscale` is true, the default
-            palette will be chosen according to whether numbers in
-            the `color` array are all positive, all negative or
-            mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here colors) or the
-            bounds set in `marker.cmin` and `marker.cmax`  Has an
-            effect only if colorsis set to a numerical array.
-            Defaults to `false` when `marker.cmin` and
-            `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if colorsis set to a
-            numerical array. Value should have the same units as
-            colors. Has no effect when `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.treemap.marker.ColorBar`
-            instance or dict with compatible properties
-        colors
-            Sets the color of each sector of this trace. If not
-            specified, the default trace color set is used to pick
-            the sector colors.
-        colorscale
-            Sets the colorscale. Has an effect only if colorsis set
-            to a numerical array. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`marker.cmin` and
-            `marker.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        depthfade
-            Determines if the sector colors are faded towards the
-            background from the leaves up to the headers. This
-            option is unavailable when a `colorscale` is present,
-            defaults to false when `marker.colors` is set, but
-            otherwise defaults to true. When set to "reversed", the
-            fading direction is inverted, that is the top elements
-            within hierarchy are drawn with fully saturated colors
-            while the leaves are faded towards the background
-            color.
-        line
-            :class:`plotly.graph_objects.treemap.marker.Line`
-            instance or dict with compatible properties
-        pad
-            :class:`plotly.graph_objects.treemap.marker.Pad`
-            instance or dict with compatible properties
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if colorsis set to a numerical array. If true,
-            `marker.cmin` will correspond to the last color in the
-            array and `marker.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if colorsis set to a
-            numerical array.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        autocolorscale=None,
-        cauto=None,
-        cmax=None,
-        cmid=None,
-        cmin=None,
-        coloraxis=None,
-        colorbar=None,
-        colors=None,
-        colorscale=None,
-        colorssrc=None,
-        depthfade=None,
-        line=None,
-        pad=None,
-        reversescale=None,
-        showscale=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Marker`
-        autocolorscale
-            Determines whether the colorscale is a default palette
-            (`autocolorscale: true`) or the palette determined by
-            `marker.colorscale`. Has an effect only if colorsis set
-            to a numerical array. In case `colorscale` is
-            unspecified or `autocolorscale` is true, the default
-            palette will be chosen according to whether numbers in
-            the `color` array are all positive, all negative or
-            mixed.
-        cauto
-            Determines whether or not the color domain is computed
-            with respect to the input data (here colors) or the
-            bounds set in `marker.cmin` and `marker.cmax`  Has an
-            effect only if colorsis set to a numerical array.
-            Defaults to `false` when `marker.cmin` and
-            `marker.cmax` are set by the user.
-        cmax
-            Sets the upper bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmin`
-            must be set as well.
-        cmid
-            Sets the mid-point of the color domain by scaling
-            `marker.cmin` and/or `marker.cmax` to be equidistant to
-            this point. Has an effect only if colorsis set to a
-            numerical array. Value should have the same units as
-            colors. Has no effect when `marker.cauto` is `false`.
-        cmin
-            Sets the lower bound of the color domain. Has an effect
-            only if colorsis set to a numerical array. Value should
-            have the same units as colors and if set, `marker.cmax`
-            must be set as well.
-        coloraxis
-            Sets a reference to a shared color axis. References to
-            these shared color axes are "coloraxis", "coloraxis2",
-            "coloraxis3", etc. Settings for these shared color axes
-            are set in the layout, under `layout.coloraxis`,
-            `layout.coloraxis2`, etc. Note that multiple color
-            scales can be linked to the same color axis.
-        colorbar
-            :class:`plotly.graph_objects.treemap.marker.ColorBar`
-            instance or dict with compatible properties
-        colors
-            Sets the color of each sector of this trace. If not
-            specified, the default trace color set is used to pick
-            the sector colors.
-        colorscale
-            Sets the colorscale. Has an effect only if colorsis set
-            to a numerical array. The colorscale must be an array
-            containing arrays mapping a normalized value to an rgb,
-            rgba, hex, hsl, hsv, or named color string. At minimum,
-            a mapping for the lowest (0) and highest (1) values are
-            required. For example, `[[0, 'rgb(0,0,255)'], [1,
-            'rgb(255,0,0)']]`. To control the bounds of the
-            colorscale in color space, use`marker.cmin` and
-            `marker.cmax`. Alternatively, `colorscale` may be a
-            palette name string of the following list: Greys,YlGnBu
-            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
-            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
-            s.
-        colorssrc
-            Sets the source reference on Chart Studio Cloud for
-            colors .
-        depthfade
-            Determines if the sector colors are faded towards the
-            background from the leaves up to the headers. This
-            option is unavailable when a `colorscale` is present,
-            defaults to false when `marker.colors` is set, but
-            otherwise defaults to true. When set to "reversed", the
-            fading direction is inverted, that is the top elements
-            within hierarchy are drawn with fully saturated colors
-            while the leaves are faded towards the background
-            color.
-        line
-            :class:`plotly.graph_objects.treemap.marker.Line`
-            instance or dict with compatible properties
-        pad
-            :class:`plotly.graph_objects.treemap.marker.Pad`
-            instance or dict with compatible properties
-        reversescale
-            Reverses the color mapping if true. Has an effect only
-            if colorsis set to a numerical array. If true,
-            `marker.cmin` will correspond to the last color in the
-            array and `marker.cmax` will correspond to the first
-            color.
-        showscale
-            Determines whether or not a colorbar is displayed for
-            this trace. Has an effect only if colorsis set to a
-            numerical array.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["autocolorscale"] = v_marker.AutocolorscaleValidator()
-        self._validators["cauto"] = v_marker.CautoValidator()
-        self._validators["cmax"] = v_marker.CmaxValidator()
-        self._validators["cmid"] = v_marker.CmidValidator()
-        self._validators["cmin"] = v_marker.CminValidator()
-        self._validators["coloraxis"] = v_marker.ColoraxisValidator()
-        self._validators["colorbar"] = v_marker.ColorBarValidator()
-        self._validators["colors"] = v_marker.ColorsValidator()
-        self._validators["colorscale"] = v_marker.ColorscaleValidator()
-        self._validators["colorssrc"] = v_marker.ColorssrcValidator()
-        self._validators["depthfade"] = v_marker.DepthfadeValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["pad"] = v_marker.PadValidator()
-        self._validators["reversescale"] = v_marker.ReversescaleValidator()
-        self._validators["showscale"] = v_marker.ShowscaleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("autocolorscale", None)
-        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
-        _v = arg.pop("cauto", None)
-        self["cauto"] = cauto if cauto is not None else _v
-        _v = arg.pop("cmax", None)
-        self["cmax"] = cmax if cmax is not None else _v
-        _v = arg.pop("cmid", None)
-        self["cmid"] = cmid if cmid is not None else _v
-        _v = arg.pop("cmin", None)
-        self["cmin"] = cmin if cmin is not None else _v
-        _v = arg.pop("coloraxis", None)
-        self["coloraxis"] = coloraxis if coloraxis is not None else _v
-        _v = arg.pop("colorbar", None)
-        self["colorbar"] = colorbar if colorbar is not None else _v
-        _v = arg.pop("colors", None)
-        self["colors"] = colors if colors is not None else _v
-        _v = arg.pop("colorscale", None)
-        self["colorscale"] = colorscale if colorscale is not None else _v
-        _v = arg.pop("colorssrc", None)
-        self["colorssrc"] = colorssrc if colorssrc is not None else _v
-        _v = arg.pop("depthfade", None)
-        self["depthfade"] = depthfade if depthfade is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("pad", None)
-        self["pad"] = pad if pad is not None else _v
-        _v = arg.pop("reversescale", None)
-        self["reversescale"] = reversescale if reversescale is not None else _v
-        _v = arg.pop("showscale", None)
-        self["showscale"] = showscale if showscale is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `textinfo` lying inside the sector.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Domain(_BaseTraceHierarchyType):
-
-    # column
-    # ------
-    @property
-    def column(self):
-        """
-        If there is a layout grid, use the domain for this column in
-        the grid for this treemap trace .
-    
-        The 'column' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["column"]
-
-    @column.setter
-    def column(self, val):
-        self["column"] = val
-
-    # row
-    # ---
-    @property
-    def row(self):
-        """
-        If there is a layout grid, use the domain for this row in the
-        grid for this treemap trace .
-    
-        The 'row' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["row"]
-
-    @row.setter
-    def row(self, val):
-        self["row"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the horizontal domain of this treemap trace (in plot
-        fraction).
-    
-        The 'x' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'x[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'x[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the vertical domain of this treemap trace (in plot
-        fraction).
-    
-        The 'y' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'y[0]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-    (1) The 'y[1]' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        list
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this treemap trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this treemap trace .
-        x
-            Sets the horizontal domain of this treemap trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this treemap trace (in plot
-            fraction).
-        """
-
-    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
-        """
-        Construct a new Domain object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.Domain`
-        column
-            If there is a layout grid, use the domain for this
-            column in the grid for this treemap trace .
-        row
-            If there is a layout grid, use the domain for this row
-            in the grid for this treemap trace .
-        x
-            Sets the horizontal domain of this treemap trace (in
-            plot fraction).
-        y
-            Sets the vertical domain of this treemap trace (in plot
-            fraction).
-
-        Returns
-        -------
-        Domain
-        """
-        super(Domain, self).__init__("domain")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.Domain 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.Domain`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap import domain as v_domain
-
-        # Initialize validators
-        # ---------------------
-        self._validators["column"] = v_domain.ColumnValidator()
-        self._validators["row"] = v_domain.RowValidator()
-        self._validators["x"] = v_domain.XValidator()
-        self._validators["y"] = v_domain.YValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("column", None)
-        self["column"] = column if column is not None else _v
-        _v = arg.pop("row", None)
-        self["row"] = row if row is not None else _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Domain",
-    "Hoverlabel",
-    "Insidetextfont",
-    "Marker",
-    "Outsidetextfont",
-    "Pathbar",
-    "Stream",
-    "Textfont",
-    "Tiling",
-    "hoverlabel",
-    "marker",
-    "pathbar",
-]
-
-from plotly.graph_objs.treemap import pathbar
-from plotly.graph_objs.treemap import marker
-from plotly.graph_objs.treemap import hoverlabel
+import sys
+
+if sys.version_info < (3, 7):
+    from ._tiling import Tiling
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._pathbar import Pathbar
+    from ._outsidetextfont import Outsidetextfont
+    from ._marker import Marker
+    from ._insidetextfont import Insidetextfont
+    from ._hoverlabel import Hoverlabel
+    from ._domain import Domain
+    from . import pathbar
+    from . import marker
+    from . import hoverlabel
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".pathbar", ".marker", ".hoverlabel"],
+        [
+            "._tiling.Tiling",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._pathbar.Pathbar",
+            "._outsidetextfont.Outsidetextfont",
+            "._marker.Marker",
+            "._insidetextfont.Insidetextfont",
+            "._hoverlabel.Hoverlabel",
+            "._domain.Domain",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_domain.py b/packages/python/plotly/plotly/graph_objs/treemap/_domain.py
new file mode 100644
index 00000000000..0ea1666fc14
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_domain.py
@@ -0,0 +1,206 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Domain(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.domain"
+    _valid_props = {"column", "row", "x", "y"}
+
+    # column
+    # ------
+    @property
+    def column(self):
+        """
+        If there is a layout grid, use the domain for this column in
+        the grid for this treemap trace .
+    
+        The 'column' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["column"]
+
+    @column.setter
+    def column(self, val):
+        self["column"] = val
+
+    # row
+    # ---
+    @property
+    def row(self):
+        """
+        If there is a layout grid, use the domain for this row in the
+        grid for this treemap trace .
+    
+        The 'row' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["row"]
+
+    @row.setter
+    def row(self, val):
+        self["row"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the horizontal domain of this treemap trace (in plot
+        fraction).
+    
+        The 'x' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'x[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'x[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the vertical domain of this treemap trace (in plot
+        fraction).
+    
+        The 'y' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'y[0]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+    (1) The 'y[1]' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        list
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this treemap trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this treemap trace .
+        x
+            Sets the horizontal domain of this treemap trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this treemap trace (in plot
+            fraction).
+        """
+
+    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
+        """
+        Construct a new Domain object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Domain`
+        column
+            If there is a layout grid, use the domain for this
+            column in the grid for this treemap trace .
+        row
+            If there is a layout grid, use the domain for this row
+            in the grid for this treemap trace .
+        x
+            Sets the horizontal domain of this treemap trace (in
+            plot fraction).
+        y
+            Sets the vertical domain of this treemap trace (in plot
+            fraction).
+
+        Returns
+        -------
+        Domain
+        """
+        super(Domain, self).__init__("domain")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Domain 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Domain`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("column", None)
+        _v = column if column is not None else _v
+        if _v is not None:
+            self["column"] = _v
+        _v = arg.pop("row", None)
+        _v = row if row is not None else _v
+        if _v is not None:
+            self["row"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/treemap/_hoverlabel.py
new file mode 100644
index 00000000000..3f0989ddeeb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/treemap/_insidetextfont.py
new file mode 100644
index 00000000000..a97f56e8fb4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `textinfo` lying inside the sector.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_marker.py b/packages/python/plotly/plotly/graph_objs/treemap/_marker.py
new file mode 100644
index 00000000000..50305369ded
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_marker.py
@@ -0,0 +1,958 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.marker"
+    _valid_props = {
+        "autocolorscale",
+        "cauto",
+        "cmax",
+        "cmid",
+        "cmin",
+        "coloraxis",
+        "colorbar",
+        "colors",
+        "colorscale",
+        "colorssrc",
+        "depthfade",
+        "line",
+        "pad",
+        "reversescale",
+        "showscale",
+    }
+
+    # autocolorscale
+    # --------------
+    @property
+    def autocolorscale(self):
+        """
+        Determines whether the colorscale is a default palette
+        (`autocolorscale: true`) or the palette determined by
+        `marker.colorscale`. Has an effect only if colorsis set to a
+        numerical array. In case `colorscale` is unspecified or
+        `autocolorscale` is true, the default  palette will be chosen
+        according to whether numbers in the `color` array are all
+        positive, all negative or mixed.
+    
+        The 'autocolorscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["autocolorscale"]
+
+    @autocolorscale.setter
+    def autocolorscale(self, val):
+        self["autocolorscale"] = val
+
+    # cauto
+    # -----
+    @property
+    def cauto(self):
+        """
+        Determines whether or not the color domain is computed with
+        respect to the input data (here colors) or the bounds set in
+        `marker.cmin` and `marker.cmax`  Has an effect only if colorsis
+        set to a numerical array. Defaults to `false` when
+        `marker.cmin` and `marker.cmax` are set by the user.
+    
+        The 'cauto' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["cauto"]
+
+    @cauto.setter
+    def cauto(self, val):
+        self["cauto"] = val
+
+    # cmax
+    # ----
+    @property
+    def cmax(self):
+        """
+        Sets the upper bound of the color domain. Has an effect only if
+        colorsis set to a numerical array. Value should have the same
+        units as colors and if set, `marker.cmin` must be set as well.
+    
+        The 'cmax' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmax"]
+
+    @cmax.setter
+    def cmax(self, val):
+        self["cmax"] = val
+
+    # cmid
+    # ----
+    @property
+    def cmid(self):
+        """
+        Sets the mid-point of the color domain by scaling `marker.cmin`
+        and/or `marker.cmax` to be equidistant to this point. Has an
+        effect only if colorsis set to a numerical array. Value should
+        have the same units as colors. Has no effect when
+        `marker.cauto` is `false`.
+    
+        The 'cmid' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmid"]
+
+    @cmid.setter
+    def cmid(self, val):
+        self["cmid"] = val
+
+    # cmin
+    # ----
+    @property
+    def cmin(self):
+        """
+        Sets the lower bound of the color domain. Has an effect only if
+        colorsis set to a numerical array. Value should have the same
+        units as colors and if set, `marker.cmax` must be set as well.
+    
+        The 'cmin' property is a number and may be specified as:
+          - An int or float
+
+        Returns
+        -------
+        int|float
+        """
+        return self["cmin"]
+
+    @cmin.setter
+    def cmin(self, val):
+        self["cmin"] = val
+
+    # coloraxis
+    # ---------
+    @property
+    def coloraxis(self):
+        """
+        Sets a reference to a shared color axis. References to these
+        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
+        etc. Settings for these shared color axes are set in the
+        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
+        Note that multiple color scales can be linked to the same color
+        axis.
+    
+        The 'coloraxis' property is an identifier of a particular
+        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
+        optionally followed by an integer >= 1
+        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
+
+        Returns
+        -------
+        str
+        """
+        return self["coloraxis"]
+
+    @coloraxis.setter
+    def coloraxis(self, val):
+        self["coloraxis"] = val
+
+    # colorbar
+    # --------
+    @property
+    def colorbar(self):
+        """
+        The 'colorbar' property is an instance of ColorBar
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.ColorBar`
+          - A dict of string/value properties that will be passed
+            to the ColorBar constructor
+    
+            Supported dict properties:
+                
+                bgcolor
+                    Sets the color of padded area.
+                bordercolor
+                    Sets the axis line color.
+                borderwidth
+                    Sets the width (in px) or the border enclosing
+                    this color bar.
+                dtick
+                    Sets the step in-between ticks on this axis.
+                    Use with `tick0`. Must be a positive number, or
+                    special strings available to "log" and "date"
+                    axes. If the axis `type` is "log", then ticks
+                    are set every 10^(n*dtick) where n is the tick
+                    number. For example, to set a tick mark at 1,
+                    10, 100, 1000, ... set dtick to 1. To set tick
+                    marks at 1, 100, 10000, ... set dtick to 2. To
+                    set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                    set dtick to log_10(5), or 0.69897000433. "log"
+                    has several special values; "L<f>", where `f`
+                    is a positive number, gives ticks linearly
+                    spaced in value (but not position). For example
+                    `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                    at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                    plus small digits between, use "D1" (all
+                    digits) or "D2" (only 2 and 5). `tick0` is
+                    ignored for "D1" and "D2". If the axis `type`
+                    is "date", then you must convert the time to
+                    milliseconds. For example, to set the interval
+                    between ticks to one day, set `dtick` to
+                    86400000.0. "date" also has special values
+                    "M<n>" gives ticks spaced by a number of
+                    months. `n` must be a positive integer. To set
+                    ticks on the 15th of every third month, set
+                    `tick0` to "2000-01-15" and `dtick` to "M3". To
+                    set ticks every 4 years, set `dtick` to "M48"
+                exponentformat
+                    Determines a formatting rule for the tick
+                    exponents. For example, consider the number
+                    1,000,000,000. If "none", it appears as
+                    1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                    "power", 1x10^9 (with 9 in a super script). If
+                    "SI", 1G. If "B", 1B.
+                len
+                    Sets the length of the color bar This measure
+                    excludes the padding of both ends. That is, the
+                    color bar length is this length minus the
+                    padding on both ends.
+                lenmode
+                    Determines whether this color bar's length
+                    (i.e. the measure in the color variation
+                    direction) is set in units of plot "fraction"
+                    or in *pixels. Use `len` to set the value.
+                nticks
+                    Specifies the maximum number of ticks for the
+                    particular axis. The actual number of ticks
+                    will be chosen automatically to be less than or
+                    equal to `nticks`. Has an effect only if
+                    `tickmode` is set to "auto".
+                outlinecolor
+                    Sets the axis line color.
+                outlinewidth
+                    Sets the width (in px) of the axis line.
+                separatethousands
+                    If "true", even 4-digit integers are separated
+                showexponent
+                    If "all", all exponents are shown besides their
+                    significands. If "first", only the exponent of
+                    the first tick is shown. If "last", only the
+                    exponent of the last tick is shown. If "none",
+                    no exponents appear.
+                showticklabels
+                    Determines whether or not the tick labels are
+                    drawn.
+                showtickprefix
+                    If "all", all tick labels are displayed with a
+                    prefix. If "first", only the first tick is
+                    displayed with a prefix. If "last", only the
+                    last tick is displayed with a suffix. If
+                    "none", tick prefixes are hidden.
+                showticksuffix
+                    Same as `showtickprefix` but for tick suffixes.
+                thickness
+                    Sets the thickness of the color bar This
+                    measure excludes the size of the padding, ticks
+                    and labels.
+                thicknessmode
+                    Determines whether this color bar's thickness
+                    (i.e. the measure in the constant color
+                    direction) is set in units of plot "fraction"
+                    or in "pixels". Use `thickness` to set the
+                    value.
+                tick0
+                    Sets the placement of the first tick on this
+                    axis. Use with `dtick`. If the axis `type` is
+                    "log", then you must take the log of your
+                    starting tick (e.g. to set the starting tick to
+                    100, set the `tick0` to 2) except when
+                    `dtick`=*L<f>* (see `dtick` for more info). If
+                    the axis `type` is "date", it should be a date
+                    string, like date data. If the axis `type` is
+                    "category", it should be a number, using the
+                    scale where each category is assigned a serial
+                    number from zero in the order it appears.
+                tickangle
+                    Sets the angle of the tick labels with respect
+                    to the horizontal. For example, a `tickangle`
+                    of -90 draws the tick labels vertically.
+                tickcolor
+                    Sets the tick color.
+                tickfont
+                    Sets the color bar's tick label font
+                tickformat
+                    Sets the tick label formatting rule using d3
+                    formatting mini-languages which are very
+                    similar to those in Python. For numbers, see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Formatting.md#d3_format
+                    And for dates see:
+                    https://github.com/d3/d3-3.x-api-
+                    reference/blob/master/Time-Formatting.md#format
+                    We add one item to d3's date formatter: "%{n}f"
+                    for fractional seconds with n digits. For
+                    example, *2016-10-13 09:15:23.456* with
+                    tickformat "%H~%M~%S.%2f" would display
+                    "09~15~23.46"
+                tickformatstops
+                    A tuple of :class:`plotly.graph_objects.treemap
+                    .marker.colorbar.Tickformatstop` instances or
+                    dicts with compatible properties
+                tickformatstopdefaults
+                    When used in a template (as layout.template.dat
+                    a.treemap.marker.colorbar.tickformatstopdefault
+                    s), sets the default property values to use for
+                    elements of
+                    treemap.marker.colorbar.tickformatstops
+                ticklen
+                    Sets the tick length (in px).
+                tickmode
+                    Sets the tick mode for this axis. If "auto",
+                    the number of ticks is set via `nticks`. If
+                    "linear", the placement of the ticks is
+                    determined by a starting position `tick0` and a
+                    tick step `dtick` ("linear" is the default
+                    value if `tick0` and `dtick` are provided). If
+                    "array", the placement of the ticks is set via
+                    `tickvals` and the tick text is `ticktext`.
+                    ("array" is the default value if `tickvals` is
+                    provided).
+                tickprefix
+                    Sets a tick label prefix.
+                ticks
+                    Determines whether ticks are drawn or not. If
+                    "", this axis' ticks are not drawn. If
+                    "outside" ("inside"), this axis' are drawn
+                    outside (inside) the axis lines.
+                ticksuffix
+                    Sets a tick label suffix.
+                ticktext
+                    Sets the text displayed at the ticks position
+                    via `tickvals`. Only has an effect if
+                    `tickmode` is set to "array". Used with
+                    `tickvals`.
+                ticktextsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  ticktext .
+                tickvals
+                    Sets the values at which ticks on this axis
+                    appear. Only has an effect if `tickmode` is set
+                    to "array". Used with `ticktext`.
+                tickvalssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  tickvals .
+                tickwidth
+                    Sets the tick width (in px).
+                title
+                    :class:`plotly.graph_objects.treemap.marker.col
+                    orbar.Title` instance or dict with compatible
+                    properties
+                titlefont
+                    Deprecated: Please use
+                    treemap.marker.colorbar.title.font instead.
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                titleside
+                    Deprecated: Please use
+                    treemap.marker.colorbar.title.side instead.
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                x
+                    Sets the x position of the color bar (in plot
+                    fraction).
+                xanchor
+                    Sets this color bar's horizontal position
+                    anchor. This anchor binds the `x` position to
+                    the "left", "center" or "right" of the color
+                    bar.
+                xpad
+                    Sets the amount of padding (in px) along the x
+                    direction.
+                y
+                    Sets the y position of the color bar (in plot
+                    fraction).
+                yanchor
+                    Sets this color bar's vertical position anchor
+                    This anchor binds the `y` position to the
+                    "top", "middle" or "bottom" of the color bar.
+                ypad
+                    Sets the amount of padding (in px) along the y
+                    direction.
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.ColorBar
+        """
+        return self["colorbar"]
+
+    @colorbar.setter
+    def colorbar(self, val):
+        self["colorbar"] = val
+
+    # colors
+    # ------
+    @property
+    def colors(self):
+        """
+        Sets the color of each sector of this trace. If not specified,
+        the default trace color set is used to pick the sector colors.
+    
+        The 'colors' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["colors"]
+
+    @colors.setter
+    def colors(self, val):
+        self["colors"] = val
+
+    # colorscale
+    # ----------
+    @property
+    def colorscale(self):
+        """
+        Sets the colorscale. Has an effect only if colorsis set to a
+        numerical array. The colorscale must be an array containing
+        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
+        hsv, or named color string. At minimum, a mapping for the
+        lowest (0) and highest (1) values are required. For example,
+        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
+        bounds of the colorscale in color space, use`marker.cmin` and
+        `marker.cmax`. Alternatively, `colorscale` may be a palette
+        name string of the following list: Greys,YlGnBu,Greens,YlOrRd,B
+        luered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbod
+        y,Earth,Electric,Viridis,Cividis.
+    
+        The 'colorscale' property is a colorscale and may be
+        specified as:
+          - A list of colors that will be spaced evenly to create the colorscale.
+            Many predefined colorscale lists are included in the sequential, diverging,
+            and cyclical modules in the plotly.colors package.
+          - A list of 2-element lists where the first element is the
+            normalized color level value (starting at 0 and ending at 1), 
+            and the second item is a valid color string.
+            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
+          - One of the following named colorscales:
+                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
+                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
+                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
+                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
+                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
+                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
+                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
+                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
+                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
+                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
+                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
+                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
+                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
+                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
+            Appending '_r' to a named colorscale reverses it.
+
+        Returns
+        -------
+        str
+        """
+        return self["colorscale"]
+
+    @colorscale.setter
+    def colorscale(self, val):
+        self["colorscale"] = val
+
+    # colorssrc
+    # ---------
+    @property
+    def colorssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  colors .
+    
+        The 'colorssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorssrc"]
+
+    @colorssrc.setter
+    def colorssrc(self, val):
+        self["colorssrc"] = val
+
+    # depthfade
+    # ---------
+    @property
+    def depthfade(self):
+        """
+        Determines if the sector colors are faded towards the
+        background from the leaves up to the headers. This option is
+        unavailable when a `colorscale` is present, defaults to false
+        when `marker.colors` is set, but otherwise defaults to true.
+        When set to "reversed", the fading direction is inverted, that
+        is the top elements within hierarchy are drawn with fully
+        saturated colors while the leaves are faded towards the
+        background color.
+    
+        The 'depthfade' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [True, False, 'reversed']
+
+        Returns
+        -------
+        Any
+        """
+        return self["depthfade"]
+
+    @depthfade.setter
+    def depthfade(self, val):
+        self["depthfade"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the color of the line enclosing each
+                    sector. Defaults to the `paper_bgcolor` value.
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                width
+                    Sets the width (in px) of the line enclosing
+                    each sector.
+                widthsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  width .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        The 'pad' property is an instance of Pad
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.Pad`
+          - A dict of string/value properties that will be passed
+            to the Pad constructor
+    
+            Supported dict properties:
+                
+                b
+                    Sets the padding form the bottom (in px).
+                l
+                    Sets the padding form the left (in px).
+                r
+                    Sets the padding form the right (in px).
+                t
+                    Sets the padding form the top (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.Pad
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # reversescale
+    # ------------
+    @property
+    def reversescale(self):
+        """
+        Reverses the color mapping if true. Has an effect only if
+        colorsis set to a numerical array. If true, `marker.cmin` will
+        correspond to the last color in the array and `marker.cmax`
+        will correspond to the first color.
+    
+        The 'reversescale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["reversescale"]
+
+    @reversescale.setter
+    def reversescale(self, val):
+        self["reversescale"] = val
+
+    # showscale
+    # ---------
+    @property
+    def showscale(self):
+        """
+        Determines whether or not a colorbar is displayed for this
+        trace. Has an effect only if colorsis set to a numerical array.
+    
+        The 'showscale' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showscale"]
+
+    @showscale.setter
+    def showscale(self, val):
+        self["showscale"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if colorsis set
+            to a numerical array. In case `colorscale` is
+            unspecified or `autocolorscale` is true, the default
+            palette will be chosen according to whether numbers in
+            the `color` array are all positive, all negative or
+            mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here colors) or the
+            bounds set in `marker.cmin` and `marker.cmax`  Has an
+            effect only if colorsis set to a numerical array.
+            Defaults to `false` when `marker.cmin` and
+            `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if colorsis set to a
+            numerical array. Value should have the same units as
+            colors. Has no effect when `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.treemap.marker.ColorBar`
+            instance or dict with compatible properties
+        colors
+            Sets the color of each sector of this trace. If not
+            specified, the default trace color set is used to pick
+            the sector colors.
+        colorscale
+            Sets the colorscale. Has an effect only if colorsis set
+            to a numerical array. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`marker.cmin` and
+            `marker.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        depthfade
+            Determines if the sector colors are faded towards the
+            background from the leaves up to the headers. This
+            option is unavailable when a `colorscale` is present,
+            defaults to false when `marker.colors` is set, but
+            otherwise defaults to true. When set to "reversed", the
+            fading direction is inverted, that is the top elements
+            within hierarchy are drawn with fully saturated colors
+            while the leaves are faded towards the background
+            color.
+        line
+            :class:`plotly.graph_objects.treemap.marker.Line`
+            instance or dict with compatible properties
+        pad
+            :class:`plotly.graph_objects.treemap.marker.Pad`
+            instance or dict with compatible properties
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if colorsis set to a numerical array. If true,
+            `marker.cmin` will correspond to the last color in the
+            array and `marker.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if colorsis set to a
+            numerical array.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        autocolorscale=None,
+        cauto=None,
+        cmax=None,
+        cmid=None,
+        cmin=None,
+        coloraxis=None,
+        colorbar=None,
+        colors=None,
+        colorscale=None,
+        colorssrc=None,
+        depthfade=None,
+        line=None,
+        pad=None,
+        reversescale=None,
+        showscale=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Marker`
+        autocolorscale
+            Determines whether the colorscale is a default palette
+            (`autocolorscale: true`) or the palette determined by
+            `marker.colorscale`. Has an effect only if colorsis set
+            to a numerical array. In case `colorscale` is
+            unspecified or `autocolorscale` is true, the default
+            palette will be chosen according to whether numbers in
+            the `color` array are all positive, all negative or
+            mixed.
+        cauto
+            Determines whether or not the color domain is computed
+            with respect to the input data (here colors) or the
+            bounds set in `marker.cmin` and `marker.cmax`  Has an
+            effect only if colorsis set to a numerical array.
+            Defaults to `false` when `marker.cmin` and
+            `marker.cmax` are set by the user.
+        cmax
+            Sets the upper bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmin`
+            must be set as well.
+        cmid
+            Sets the mid-point of the color domain by scaling
+            `marker.cmin` and/or `marker.cmax` to be equidistant to
+            this point. Has an effect only if colorsis set to a
+            numerical array. Value should have the same units as
+            colors. Has no effect when `marker.cauto` is `false`.
+        cmin
+            Sets the lower bound of the color domain. Has an effect
+            only if colorsis set to a numerical array. Value should
+            have the same units as colors and if set, `marker.cmax`
+            must be set as well.
+        coloraxis
+            Sets a reference to a shared color axis. References to
+            these shared color axes are "coloraxis", "coloraxis2",
+            "coloraxis3", etc. Settings for these shared color axes
+            are set in the layout, under `layout.coloraxis`,
+            `layout.coloraxis2`, etc. Note that multiple color
+            scales can be linked to the same color axis.
+        colorbar
+            :class:`plotly.graph_objects.treemap.marker.ColorBar`
+            instance or dict with compatible properties
+        colors
+            Sets the color of each sector of this trace. If not
+            specified, the default trace color set is used to pick
+            the sector colors.
+        colorscale
+            Sets the colorscale. Has an effect only if colorsis set
+            to a numerical array. The colorscale must be an array
+            containing arrays mapping a normalized value to an rgb,
+            rgba, hex, hsl, hsv, or named color string. At minimum,
+            a mapping for the lowest (0) and highest (1) values are
+            required. For example, `[[0, 'rgb(0,0,255)'], [1,
+            'rgb(255,0,0)']]`. To control the bounds of the
+            colorscale in color space, use`marker.cmin` and
+            `marker.cmax`. Alternatively, `colorscale` may be a
+            palette name string of the following list: Greys,YlGnBu
+            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
+            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
+            s.
+        colorssrc
+            Sets the source reference on Chart Studio Cloud for
+            colors .
+        depthfade
+            Determines if the sector colors are faded towards the
+            background from the leaves up to the headers. This
+            option is unavailable when a `colorscale` is present,
+            defaults to false when `marker.colors` is set, but
+            otherwise defaults to true. When set to "reversed", the
+            fading direction is inverted, that is the top elements
+            within hierarchy are drawn with fully saturated colors
+            while the leaves are faded towards the background
+            color.
+        line
+            :class:`plotly.graph_objects.treemap.marker.Line`
+            instance or dict with compatible properties
+        pad
+            :class:`plotly.graph_objects.treemap.marker.Pad`
+            instance or dict with compatible properties
+        reversescale
+            Reverses the color mapping if true. Has an effect only
+            if colorsis set to a numerical array. If true,
+            `marker.cmin` will correspond to the last color in the
+            array and `marker.cmax` will correspond to the first
+            color.
+        showscale
+            Determines whether or not a colorbar is displayed for
+            this trace. Has an effect only if colorsis set to a
+            numerical array.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("autocolorscale", None)
+        _v = autocolorscale if autocolorscale is not None else _v
+        if _v is not None:
+            self["autocolorscale"] = _v
+        _v = arg.pop("cauto", None)
+        _v = cauto if cauto is not None else _v
+        if _v is not None:
+            self["cauto"] = _v
+        _v = arg.pop("cmax", None)
+        _v = cmax if cmax is not None else _v
+        if _v is not None:
+            self["cmax"] = _v
+        _v = arg.pop("cmid", None)
+        _v = cmid if cmid is not None else _v
+        if _v is not None:
+            self["cmid"] = _v
+        _v = arg.pop("cmin", None)
+        _v = cmin if cmin is not None else _v
+        if _v is not None:
+            self["cmin"] = _v
+        _v = arg.pop("coloraxis", None)
+        _v = coloraxis if coloraxis is not None else _v
+        if _v is not None:
+            self["coloraxis"] = _v
+        _v = arg.pop("colorbar", None)
+        _v = colorbar if colorbar is not None else _v
+        if _v is not None:
+            self["colorbar"] = _v
+        _v = arg.pop("colors", None)
+        _v = colors if colors is not None else _v
+        if _v is not None:
+            self["colors"] = _v
+        _v = arg.pop("colorscale", None)
+        _v = colorscale if colorscale is not None else _v
+        if _v is not None:
+            self["colorscale"] = _v
+        _v = arg.pop("colorssrc", None)
+        _v = colorssrc if colorssrc is not None else _v
+        if _v is not None:
+            self["colorssrc"] = _v
+        _v = arg.pop("depthfade", None)
+        _v = depthfade if depthfade is not None else _v
+        if _v is not None:
+            self["depthfade"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("reversescale", None)
+        _v = reversescale if reversescale is not None else _v
+        if _v is not None:
+            self["reversescale"] = _v
+        _v = arg.pop("showscale", None)
+        _v = showscale if showscale is not None else _v
+        if _v is not None:
+            self["showscale"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_outsidetextfont.py b/packages/python/plotly/plotly/graph_objs/treemap/_outsidetextfont.py
new file mode 100644
index 00000000000..a5fe98eaaec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_outsidetextfont.py
@@ -0,0 +1,333 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Outsidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.outsidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Outsidetextfont object
+        
+        Sets the font used for `textinfo` lying outside the sector.
+        This option refers to the root of the hierarchy presented on
+        top left corner of a treemap graph. Please note that if a
+        hierarchy has multiple root nodes, this option won't have any
+        effect and `insidetextfont` would be used.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Outsidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Outsidetextfont
+        """
+        super(Outsidetextfont, self).__init__("outsidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Outsidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Outsidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_pathbar.py b/packages/python/plotly/plotly/graph_objs/treemap/_pathbar.py
new file mode 100644
index 00000000000..fc36206d874
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_pathbar.py
@@ -0,0 +1,274 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Pathbar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.pathbar"
+    _valid_props = {"edgeshape", "side", "textfont", "thickness", "visible"}
+
+    # edgeshape
+    # ---------
+    @property
+    def edgeshape(self):
+        """
+        Determines which shape is used for edges between `barpath`
+        labels.
+    
+        The 'edgeshape' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['>', '<', '|', '\\']
+          - A string that matches one of the following regular expressions:
+                ['']
+
+        Returns
+        -------
+        Any
+        """
+        return self["edgeshape"]
+
+    @edgeshape.setter
+    def edgeshape(self, val):
+        self["edgeshape"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines on which side of the the treemap the `pathbar`
+        should be presented.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # textfont
+    # --------
+    @property
+    def textfont(self):
+        """
+        Sets the font used inside `pathbar`.
+    
+        The 'textfont' property is an instance of Textfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.pathbar.Textfont`
+          - A dict of string/value properties that will be passed
+            to the Textfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.pathbar.Textfont
+        """
+        return self["textfont"]
+
+    @textfont.setter
+    def textfont(self, val):
+        self["textfont"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of `pathbar` (in px). If not specified the
+        `pathbar.textfont.size` is used with 3 pixles extra padding on
+        each side.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [12, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines if the path bar is drawn i.e. outside the trace
+        `domain` and with one pixel gap.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        edgeshape
+            Determines which shape is used for edges between
+            `barpath` labels.
+        side
+            Determines on which side of the the treemap the
+            `pathbar` should be presented.
+        textfont
+            Sets the font used inside `pathbar`.
+        thickness
+            Sets the thickness of `pathbar` (in px). If not
+            specified the `pathbar.textfont.size` is used with 3
+            pixles extra padding on each side.
+        visible
+            Determines if the path bar is drawn i.e. outside the
+            trace `domain` and with one pixel gap.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        edgeshape=None,
+        side=None,
+        textfont=None,
+        thickness=None,
+        visible=None,
+        **kwargs
+    ):
+        """
+        Construct a new Pathbar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Pathbar`
+        edgeshape
+            Determines which shape is used for edges between
+            `barpath` labels.
+        side
+            Determines on which side of the the treemap the
+            `pathbar` should be presented.
+        textfont
+            Sets the font used inside `pathbar`.
+        thickness
+            Sets the thickness of `pathbar` (in px). If not
+            specified the `pathbar.textfont.size` is used with 3
+            pixles extra padding on each side.
+        visible
+            Determines if the path bar is drawn i.e. outside the
+            trace `domain` and with one pixel gap.
+
+        Returns
+        -------
+        Pathbar
+        """
+        super(Pathbar, self).__init__("pathbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Pathbar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Pathbar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("edgeshape", None)
+        _v = edgeshape if edgeshape is not None else _v
+        if _v is not None:
+            self["edgeshape"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("textfont", None)
+        _v = textfont if textfont is not None else _v
+        if _v is not None:
+            self["textfont"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_stream.py b/packages/python/plotly/plotly/graph_objs/treemap/_stream.py
new file mode 100644
index 00000000000..ae6b85a25a6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_textfont.py b/packages/python/plotly/plotly/graph_objs/treemap/_textfont.py
new file mode 100644
index 00000000000..7d1fbc248a0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `textinfo`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/_tiling.py b/packages/python/plotly/plotly/graph_objs/treemap/_tiling.py
new file mode 100644
index 00000000000..5e2a1623bc0
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/_tiling.py
@@ -0,0 +1,228 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tiling(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap"
+    _path_str = "treemap.tiling"
+    _valid_props = {"flip", "packing", "pad", "squarifyratio"}
+
+    # flip
+    # ----
+    @property
+    def flip(self):
+        """
+        Determines if the positions obtained from solver are flipped on
+        each axis.
+    
+        The 'flip' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['x', 'y'] joined with '+' characters
+            (e.g. 'x+y')
+
+        Returns
+        -------
+        Any
+        """
+        return self["flip"]
+
+    @flip.setter
+    def flip(self, val):
+        self["flip"] = val
+
+    # packing
+    # -------
+    @property
+    def packing(self):
+        """
+        Determines d3 treemap solver. For more info please refer to
+        https://github.com/d3/d3-hierarchy#treemap-tiling
+    
+        The 'packing' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['squarify', 'binary', 'dice', 'slice', 'slice-dice',
+                'dice-slice']
+
+        Returns
+        -------
+        Any
+        """
+        return self["packing"]
+
+    @packing.setter
+    def packing(self, val):
+        self["packing"] = val
+
+    # pad
+    # ---
+    @property
+    def pad(self):
+        """
+        Sets the inner padding (in px).
+    
+        The 'pad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["pad"]
+
+    @pad.setter
+    def pad(self, val):
+        self["pad"] = val
+
+    # squarifyratio
+    # -------------
+    @property
+    def squarifyratio(self):
+        """
+        When using "squarify" `packing` algorithm, according to https:/
+        /github.com/d3/d3-hierarchy/blob/master/README.md#squarify_rati
+        o this option specifies the desired aspect ratio of the
+        generated rectangles. The ratio must be specified as a number
+        greater than or equal to one. Note that the orientation of the
+        generated rectangles (tall or wide) is not implied by the
+        ratio; for example, a ratio of two will attempt to produce a
+        mixture of rectangles whose width:height ratio is either 2:1 or
+        1:2. When using "squarify", unlike d3 which uses the Golden
+        Ratio i.e. 1.618034, Plotly applies 1 to increase squares in
+        treemap layouts.
+    
+        The 'squarifyratio' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["squarifyratio"]
+
+    @squarifyratio.setter
+    def squarifyratio(self, val):
+        self["squarifyratio"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        flip
+            Determines if the positions obtained from solver are
+            flipped on each axis.
+        packing
+            Determines d3 treemap solver. For more info please
+            refer to https://github.com/d3/d3-hierarchy#treemap-
+            tiling
+        pad
+            Sets the inner padding (in px).
+        squarifyratio
+            When using "squarify" `packing` algorithm, according to
+            https://github.com/d3/d3-hierarchy/blob/master/README.m
+            d#squarify_ratio this option specifies the desired
+            aspect ratio of the generated rectangles. The ratio
+            must be specified as a number greater than or equal to
+            one. Note that the orientation of the generated
+            rectangles (tall or wide) is not implied by the ratio;
+            for example, a ratio of two will attempt to produce a
+            mixture of rectangles whose width:height ratio is
+            either 2:1 or 1:2. When using "squarify", unlike d3
+            which uses the Golden Ratio i.e. 1.618034, Plotly
+            applies 1 to increase squares in treemap layouts.
+        """
+
+    def __init__(
+        self, arg=None, flip=None, packing=None, pad=None, squarifyratio=None, **kwargs
+    ):
+        """
+        Construct a new Tiling object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.Tiling`
+        flip
+            Determines if the positions obtained from solver are
+            flipped on each axis.
+        packing
+            Determines d3 treemap solver. For more info please
+            refer to https://github.com/d3/d3-hierarchy#treemap-
+            tiling
+        pad
+            Sets the inner padding (in px).
+        squarifyratio
+            When using "squarify" `packing` algorithm, according to
+            https://github.com/d3/d3-hierarchy/blob/master/README.m
+            d#squarify_ratio this option specifies the desired
+            aspect ratio of the generated rectangles. The ratio
+            must be specified as a number greater than or equal to
+            one. Note that the orientation of the generated
+            rectangles (tall or wide) is not implied by the ratio;
+            for example, a ratio of two will attempt to produce a
+            mixture of rectangles whose width:height ratio is
+            either 2:1 or 1:2. When using "squarify", unlike d3
+            which uses the Golden Ratio i.e. 1.618034, Plotly
+            applies 1 to increase squares in treemap layouts.
+
+        Returns
+        -------
+        Tiling
+        """
+        super(Tiling, self).__init__("tiling")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.Tiling 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.Tiling`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("flip", None)
+        _v = flip if flip is not None else _v
+        if _v is not None:
+            self["flip"] = _v
+        _v = arg.pop("packing", None)
+        _v = packing if packing is not None else _v
+        if _v is not None:
+            self["packing"] = _v
+        _v = arg.pop("pad", None)
+        _v = pad if pad is not None else _v
+        if _v is not None:
+            self["pad"] = _v
+        _v = arg.pop("squarifyratio", None)
+        _v = squarifyratio if squarifyratio is not None else _v
+        if _v is not None:
+            self["squarifyratio"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/__init__.py
index 359759becf9..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/_font.py
new file mode 100644
index 00000000000..b274f14e97d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.hoverlabel"
+    _path_str = "treemap.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/__init__.py
index c2d46025cda..5a8ee3f3ef6 100644
--- a/packages/python/plotly/plotly/graph_objs/treemap/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/__init__.py
@@ -1,2288 +1,13 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Pad(_BaseTraceHierarchyType):
-
-    # b
-    # -
-    @property
-    def b(self):
-        """
-        Sets the padding form the bottom (in px).
-    
-        The 'b' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["b"]
-
-    @b.setter
-    def b(self, val):
-        self["b"] = val
-
-    # l
-    # -
-    @property
-    def l(self):
-        """
-        Sets the padding form the left (in px).
-    
-        The 'l' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["l"]
-
-    @l.setter
-    def l(self, val):
-        self["l"] = val
-
-    # r
-    # -
-    @property
-    def r(self):
-        """
-        Sets the padding form the right (in px).
-    
-        The 'r' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["r"]
-
-    @r.setter
-    def r(self, val):
-        self["r"] = val
-
-    # t
-    # -
-    @property
-    def t(self):
-        """
-        Sets the padding form the top (in px).
-    
-        The 't' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["t"]
-
-    @t.setter
-    def t(self, val):
-        self["t"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        b
-            Sets the padding form the bottom (in px).
-        l
-            Sets the padding form the left (in px).
-        r
-            Sets the padding form the right (in px).
-        t
-            Sets the padding form the top (in px).
-        """
-
-    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
-        """
-        Construct a new Pad object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.marker.Pad`
-        b
-            Sets the padding form the bottom (in px).
-        l
-            Sets the padding form the left (in px).
-        r
-            Sets the padding form the right (in px).
-        t
-            Sets the padding form the top (in px).
-
-        Returns
-        -------
-        Pad
-        """
-        super(Pad, self).__init__("pad")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.Pad 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.Pad`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker import pad as v_pad
-
-        # Initialize validators
-        # ---------------------
-        self._validators["b"] = v_pad.BValidator()
-        self._validators["l"] = v_pad.LValidator()
-        self._validators["r"] = v_pad.RValidator()
-        self._validators["t"] = v_pad.TValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("b", None)
-        self["b"] = b if b is not None else _v
-        _v = arg.pop("l", None)
-        self["l"] = l if l is not None else _v
-        _v = arg.pop("r", None)
-        self["r"] = r if r is not None else _v
-        _v = arg.pop("t", None)
-        self["t"] = t if t is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the line enclosing each sector. Defaults to
-        the `paper_bgcolor` value.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the line enclosing each sector.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # widthsrc
-    # --------
-    @property
-    def widthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  width .
-    
-        The 'widthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["widthsrc"]
-
-    @widthsrc.setter
-    def widthsrc(self, val):
-        self["widthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the line enclosing each sector.
-            Defaults to the `paper_bgcolor` value.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-        """
-
-    def __init__(
-        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.marker.Line`
-        color
-            Sets the color of the line enclosing each sector.
-            Defaults to the `paper_bgcolor` value.
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        width
-            Sets the width (in px) of the line enclosing each
-            sector.
-        widthsrc
-            Sets the source reference on Chart Studio Cloud for
-            width .
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["colorsrc"] = v_line.ColorsrcValidator()
-        self._validators["width"] = v_line.WidthValidator()
-        self._validators["widthsrc"] = v_line.WidthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-        _v = arg.pop("widthsrc", None)
-        self["widthsrc"] = widthsrc if widthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.treemap.marker.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.treemap.marker.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as layout.template.data.treemap.marker
-        .colorbar.tickformatstopdefaults), sets the default property
-        values to use for elements of
-        treemap.marker.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use treemap.marker.colorbar.title.font
-        instead. Sets this color bar's title font. Note that the
-        title's font used to be set by the now deprecated `titlefont`
-        attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use treemap.marker.colorbar.title.side
-        instead. Determines the location of color bar's title with
-        respect to the color bar. Note that the title's location used
-        to be set by the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.treemap.marker.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.treema
-            p.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            treemap.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.treemap.marker.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            treemap.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            treemap.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.marker.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.treemap.marker.
-            colorbar.Tickformatstop` instances or dicts with
-            compatible properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.treema
-            p.marker.colorbar.tickformatstopdefaults), sets the
-            default property values to use for elements of
-            treemap.marker.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.treemap.marker.colorbar.Ti
-            tle` instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use
-            treemap.marker.colorbar.title.font instead. Sets this
-            color bar's title font. Note that the title's font used
-            to be set by the now deprecated `titlefont` attribute.
-        titleside
-            Deprecated: Please use
-            treemap.marker.colorbar.title.side instead. Determines
-            the location of color bar's title with respect to the
-            color bar. Note that the title's location used to be
-            set by the now deprecated `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["ColorBar", "Line", "Pad", "colorbar"]
-
-from plotly.graph_objs.treemap.marker import colorbar
+import sys
+
+if sys.version_info < (3, 7):
+    from ._pad import Pad
+    from ._line import Line
+    from ._colorbar import ColorBar
+    from . import colorbar
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".colorbar"], ["._pad.Pad", "._line.Line", "._colorbar.ColorBar"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/_colorbar.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/_colorbar.py
new file mode 100644
index 00000000000..4f1d1ac2d47
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/_colorbar.py
@@ -0,0 +1,1941 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker"
+    _path_str = "treemap.marker.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.treemap.marker.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.treemap.marker.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as layout.template.data.treemap.marker
+        .colorbar.tickformatstopdefaults), sets the default property
+        values to use for elements of
+        treemap.marker.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use treemap.marker.colorbar.title.font
+        instead. Sets this color bar's title font. Note that the
+        title's font used to be set by the now deprecated `titlefont`
+        attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use treemap.marker.colorbar.title.side
+        instead. Determines the location of color bar's title with
+        respect to the color bar. Note that the title's location used
+        to be set by the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.treemap.marker.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.treema
+            p.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            treemap.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.treemap.marker.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            treemap.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            treemap.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.marker.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.treemap.marker.
+            colorbar.Tickformatstop` instances or dicts with
+            compatible properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.treema
+            p.marker.colorbar.tickformatstopdefaults), sets the
+            default property values to use for elements of
+            treemap.marker.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.treemap.marker.colorbar.Ti
+            tle` instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use
+            treemap.marker.colorbar.title.font instead. Sets this
+            color bar's title font. Note that the title's font used
+            to be set by the now deprecated `titlefont` attribute.
+        titleside
+            Deprecated: Please use
+            treemap.marker.colorbar.title.side instead. Determines
+            the location of color bar's title with respect to the
+            color bar. Note that the title's location used to be
+            set by the now deprecated `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/_line.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/_line.py
new file mode 100644
index 00000000000..fb8f0e12ff5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/_line.py
@@ -0,0 +1,234 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker"
+    _path_str = "treemap.marker.line"
+    _valid_props = {"color", "colorsrc", "width", "widthsrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the line enclosing each sector. Defaults to
+        the `paper_bgcolor` value.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the line enclosing each sector.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # widthsrc
+    # --------
+    @property
+    def widthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  width .
+    
+        The 'widthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["widthsrc"]
+
+    @widthsrc.setter
+    def widthsrc(self, val):
+        self["widthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the line enclosing each sector.
+            Defaults to the `paper_bgcolor` value.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+        """
+
+    def __init__(
+        self, arg=None, color=None, colorsrc=None, width=None, widthsrc=None, **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.marker.Line`
+        color
+            Sets the color of the line enclosing each sector.
+            Defaults to the `paper_bgcolor` value.
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        width
+            Sets the width (in px) of the line enclosing each
+            sector.
+        widthsrc
+            Sets the source reference on Chart Studio Cloud for
+            width .
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+        _v = arg.pop("widthsrc", None)
+        _v = widthsrc if widthsrc is not None else _v
+        if _v is not None:
+            self["widthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/_pad.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/_pad.py
new file mode 100644
index 00000000000..30f270118d4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/_pad.py
@@ -0,0 +1,182 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Pad(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker"
+    _path_str = "treemap.marker.pad"
+    _valid_props = {"b", "l", "r", "t"}
+
+    # b
+    # -
+    @property
+    def b(self):
+        """
+        Sets the padding form the bottom (in px).
+    
+        The 'b' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["b"]
+
+    @b.setter
+    def b(self, val):
+        self["b"] = val
+
+    # l
+    # -
+    @property
+    def l(self):
+        """
+        Sets the padding form the left (in px).
+    
+        The 'l' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["l"]
+
+    @l.setter
+    def l(self, val):
+        self["l"] = val
+
+    # r
+    # -
+    @property
+    def r(self):
+        """
+        Sets the padding form the right (in px).
+    
+        The 'r' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["r"]
+
+    @r.setter
+    def r(self, val):
+        self["r"] = val
+
+    # t
+    # -
+    @property
+    def t(self):
+        """
+        Sets the padding form the top (in px).
+    
+        The 't' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["t"]
+
+    @t.setter
+    def t(self, val):
+        self["t"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        b
+            Sets the padding form the bottom (in px).
+        l
+            Sets the padding form the left (in px).
+        r
+            Sets the padding form the right (in px).
+        t
+            Sets the padding form the top (in px).
+        """
+
+    def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
+        """
+        Construct a new Pad object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.marker.Pad`
+        b
+            Sets the padding form the bottom (in px).
+        l
+            Sets the padding form the left (in px).
+        r
+            Sets the padding form the right (in px).
+        t
+            Sets the padding form the top (in px).
+
+        Returns
+        -------
+        Pad
+        """
+        super(Pad, self).__init__("pad")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.Pad 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.Pad`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("b", None)
+        _v = b if b is not None else _v
+        if _v is not None:
+            self["b"] = _v
+        _v = arg.pop("l", None)
+        _v = l if l is not None else _v
+        if _v is not None:
+            self["l"] = _v
+        _v = arg.pop("r", None)
+        _v = r if r is not None else _v
+        if _v is not None:
+            self["r"] = _v
+        _v = arg.pop("t", None)
+        _v = t if t is not None else _v
+        if _v is not None:
+            self["t"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/__init__.py
index 99c7a44afd4..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/__init__.py
@@ -1,724 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.treemap.marker.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.treemap.marker
-            .colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.treemap.marker
-            .colorbar.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker.colorbar import (
-            tickformatstop as v_tickformatstop,
-        )
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.treemap.marker
-            .colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.treemap.marker.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..981ff0886ae
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker.colorbar"
+    _path_str = "treemap.marker.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.treemap.marker
+            .colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..6ad728997d1
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker.colorbar"
+    _path_str = "treemap.marker.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.treemap.marker
+            .colorbar.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_title.py
new file mode 100644
index 00000000000..6879d38a78a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker.colorbar"
+    _path_str = "treemap.marker.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.treemap.marker.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.treemap.marker.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.treemap.marker
+            .colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/__init__.py
index 0dc3c9cddbf..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.marker.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.treemap.marker
-            .colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.marker.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.marker.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..9c6ea6d9e2f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/marker/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.marker.colorbar.title"
+    _path_str = "treemap.marker.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.treemap.marker
+            .colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.marker.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.marker.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/pathbar/__init__.py b/packages/python/plotly/plotly/graph_objs/treemap/pathbar/__init__.py
index 94473d4c4cf..9b414c35677 100644
--- a/packages/python/plotly/plotly/graph_objs/treemap/pathbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/treemap/pathbar/__init__.py
@@ -1,329 +1,10 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import Textfont
+else:
+    from _plotly_utils.importers import relative_import
 
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "treemap.pathbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used inside `pathbar`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.treemap.pathbar.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.treemap.pathbar.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.treemap.pathbar.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.treemap.pathbar import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Textfont"]
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.Textfont"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/treemap/pathbar/_textfont.py b/packages/python/plotly/plotly/graph_objs/treemap/pathbar/_textfont.py
new file mode 100644
index 00000000000..f6f291f6cb9
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/treemap/pathbar/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "treemap.pathbar"
+    _path_str = "treemap.pathbar.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used inside `pathbar`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.treemap.pathbar.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.treemap.pathbar.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.treemap.pathbar.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/__init__.py b/packages/python/plotly/plotly/graph_objs/violin/__init__.py
index 8e98db143bd..5fbad339e40 100644
--- a/packages/python/plotly/plotly/graph_objs/violin/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/violin/__init__.py
@@ -1,1926 +1,33 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Unselected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.unselected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of unselected points,
-                    applied only when a selection exists.
-                opacity
-                    Sets the marker opacity of unselected points,
-                    applied only when a selection exists.
-                size
-                    Sets the marker size of unselected points,
-                    applied only when a selection exists.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.unselected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.violin.unselected.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Unselected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.Unselected`
-        marker
-            :class:`plotly.graph_objects.violin.unselected.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Unselected
-        """
-        super(Unselected, self).__init__("unselected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Unselected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Unselected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import unselected as v_unselected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_unselected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.violin.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Selected(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.selected.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of selected points.
-                opacity
-                    Sets the marker opacity of selected points.
-                size
-                    Sets the marker size of selected points.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.selected.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.violin.selected.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Selected object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.Selected`
-        marker
-            :class:`plotly.graph_objects.violin.selected.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Selected
-        """
-        super(Selected, self).__init__("selected")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Selected 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Selected`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import selected as v_selected
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_selected.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Meanline(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the mean line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines if a line corresponding to the sample's mean is
-        shown inside the violins. If `box.visible` is turned on, the
-        mean line is drawn inside the inner box. Otherwise, the mean
-        line is drawn from one side of the violin to other.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the mean line width.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the mean line color.
-        visible
-            Determines if a line corresponding to the sample's mean
-            is shown inside the violins. If `box.visible` is turned
-            on, the mean line is drawn inside the inner box.
-            Otherwise, the mean line is drawn from one side of the
-            violin to other.
-        width
-            Sets the mean line width.
-        """
-
-    def __init__(self, arg=None, color=None, visible=None, width=None, **kwargs):
-        """
-        Construct a new Meanline object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.Meanline`
-        color
-            Sets the mean line color.
-        visible
-            Determines if a line corresponding to the sample's mean
-            is shown inside the violins. If `box.visible` is turned
-            on, the mean line is drawn inside the inner box.
-            Otherwise, the mean line is drawn from one side of the
-            violin to other.
-        width
-            Sets the mean line width.
-
-        Returns
-        -------
-        Meanline
-        """
-        super(Meanline, self).__init__("meanline")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Meanline 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Meanline`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import meanline as v_meanline
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_meanline.ColorValidator()
-        self._validators["visible"] = v_meanline.VisibleValidator()
-        self._validators["width"] = v_meanline.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarkercolor. It accepts either a specific color or an
-        array of numbers that are mapped to the colorscale relative to
-        the max and min values of the array or relative to
-        `marker.cmin` and `marker.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets themarker.linecolor. It accepts either a
-                    specific color or an array of numbers that are
-                    mapped to the colorscale relative to the max
-                    and min values of the array or relative to
-                    `marker.line.cmin` and `marker.line.cmax` if
-                    set.
-                outliercolor
-                    Sets the border line color of the outlier
-                    sample points. Defaults to marker.color
-                outlierwidth
-                    Sets the border line width (in px) of the
-                    outlier sample points.
-                width
-                    Sets the width (in px) of the lines bounding
-                    the marker points.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # outliercolor
-    # ------------
-    @property
-    def outliercolor(self):
-        """
-        Sets the color of the outlier sample points.
-    
-        The 'outliercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outliercolor"]
-
-    @outliercolor.setter
-    def outliercolor(self, val):
-        self["outliercolor"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size (in px).
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # symbol
-    # ------
-    @property
-    def symbol(self):
-        """
-        Sets the marker symbol type. Adding 100 is equivalent to
-        appending "-open" to a symbol name. Adding 200 is equivalent to
-        appending "-dot" to a symbol name. Adding 300 is equivalent to
-        appending "-open-dot" or "dot-open" to a symbol name.
-    
-        The 'symbol' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
-                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
-                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
-                'diamond-open', 202, 'diamond-dot', 302,
-                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
-                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
-                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
-                'triangle-up-open', 205, 'triangle-up-dot', 305,
-                'triangle-up-open-dot', 6, 'triangle-down', 106,
-                'triangle-down-open', 206, 'triangle-down-dot', 306,
-                'triangle-down-open-dot', 7, 'triangle-left', 107,
-                'triangle-left-open', 207, 'triangle-left-dot', 307,
-                'triangle-left-open-dot', 8, 'triangle-right', 108,
-                'triangle-right-open', 208, 'triangle-right-dot', 308,
-                'triangle-right-open-dot', 9, 'triangle-ne', 109,
-                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
-                'triangle-ne-open-dot', 10, 'triangle-se', 110,
-                'triangle-se-open', 210, 'triangle-se-dot', 310,
-                'triangle-se-open-dot', 11, 'triangle-sw', 111,
-                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
-                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
-                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
-                'triangle-nw-open-dot', 13, 'pentagon', 113,
-                'pentagon-open', 213, 'pentagon-dot', 313,
-                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
-                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
-                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
-                315, 'hexagon2-open-dot', 16, 'octagon', 116,
-                'octagon-open', 216, 'octagon-dot', 316,
-                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
-                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
-                'hexagram-open', 218, 'hexagram-dot', 318,
-                'hexagram-open-dot', 19, 'star-triangle-up', 119,
-                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
-                'star-triangle-up-open-dot', 20, 'star-triangle-down',
-                120, 'star-triangle-down-open', 220,
-                'star-triangle-down-dot', 320,
-                'star-triangle-down-open-dot', 21, 'star-square', 121,
-                'star-square-open', 221, 'star-square-dot', 321,
-                'star-square-open-dot', 22, 'star-diamond', 122,
-                'star-diamond-open', 222, 'star-diamond-dot', 322,
-                'star-diamond-open-dot', 23, 'diamond-tall', 123,
-                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
-                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
-                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
-                'diamond-wide-open-dot', 25, 'hourglass', 125,
-                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
-                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
-                128, 'circle-x-open', 29, 'square-cross', 129,
-                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
-                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
-                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
-                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
-                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
-                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
-                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
-                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
-                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
-                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
-                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
-                'line-nw-open']
-
-        Returns
-        -------
-        Any
-        """
-        return self["symbol"]
-
-    @symbol.setter
-    def symbol(self, val):
-        self["symbol"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        line
-            :class:`plotly.graph_objects.violin.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        outliercolor
-            Sets the color of the outlier sample points.
-        size
-            Sets the marker size (in px).
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        line=None,
-        opacity=None,
-        outliercolor=None,
-        size=None,
-        symbol=None,
-        **kwargs
-    ):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.violin.Marker`
-        color
-            Sets themarkercolor. It accepts either a specific color
-            or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.cmin` and `marker.cmax` if
-            set.
-        line
-            :class:`plotly.graph_objects.violin.marker.Line`
-            instance or dict with compatible properties
-        opacity
-            Sets the marker opacity.
-        outliercolor
-            Sets the color of the outlier sample points.
-        size
-            Sets the marker size (in px).
-        symbol
-            Sets the marker symbol type. Adding 100 is equivalent
-            to appending "-open" to a symbol name. Adding 200 is
-            equivalent to appending "-dot" to a symbol name. Adding
-            300 is equivalent to appending "-open-dot" or "dot-
-            open" to a symbol name.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["line"] = v_marker.LineValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["outliercolor"] = v_marker.OutliercolorValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-        self._validators["symbol"] = v_marker.SymbolValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("outliercolor", None)
-        self["outliercolor"] = outliercolor if outliercolor is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("symbol", None)
-        self["symbol"] = symbol if symbol is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of line bounding the violin(s).
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of line bounding the violin(s).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of line bounding the violin(s).
-        width
-            Sets the width (in px) of line bounding the violin(s).
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.violin.Line`
-        color
-            Sets the color of line bounding the violin(s).
-        width
-            Sets the width (in px) of line bounding the violin(s).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.violin.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Box(_BaseTraceHierarchyType):
-
-    # fillcolor
-    # ---------
-    @property
-    def fillcolor(self):
-        """
-        Sets the inner box plot fill color.
-    
-        The 'fillcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["fillcolor"]
-
-    @fillcolor.setter
-    def fillcolor(self, val):
-        self["fillcolor"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.violin.box.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the inner box plot bounding line color.
-                width
-                    Sets the inner box plot bounding line width.
-
-        Returns
-        -------
-        plotly.graph_objs.violin.box.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines if an miniature box plot is drawn inside the
-        violins.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the inner box plots relative to the violins'
-        width. For example, with 1, the inner box plots are as wide as
-        the violins.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fillcolor
-            Sets the inner box plot fill color.
-        line
-            :class:`plotly.graph_objects.violin.box.Line` instance
-            or dict with compatible properties
-        visible
-            Determines if an miniature box plot is drawn inside the
-            violins.
-        width
-            Sets the width of the inner box plots relative to the
-            violins' width. For example, with 1, the inner box
-            plots are as wide as the violins.
-        """
-
-    def __init__(
-        self, arg=None, fillcolor=None, line=None, visible=None, width=None, **kwargs
-    ):
-        """
-        Construct a new Box object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.violin.Box`
-        fillcolor
-            Sets the inner box plot fill color.
-        line
-            :class:`plotly.graph_objects.violin.box.Line` instance
-            or dict with compatible properties
-        visible
-            Determines if an miniature box plot is drawn inside the
-            violins.
-        width
-            Sets the width of the inner box plots relative to the
-            violins' width. For example, with 1, the inner box
-            plots are as wide as the violins.
-
-        Returns
-        -------
-        Box
-        """
-        super(Box, self).__init__("box")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.Box 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.Box`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin import box as v_box
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fillcolor"] = v_box.FillcolorValidator()
-        self._validators["line"] = v_box.LineValidator()
-        self._validators["visible"] = v_box.VisibleValidator()
-        self._validators["width"] = v_box.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fillcolor", None)
-        self["fillcolor"] = fillcolor if fillcolor is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Box",
-    "Hoverlabel",
-    "Line",
-    "Marker",
-    "Meanline",
-    "Selected",
-    "Stream",
-    "Unselected",
-    "box",
-    "hoverlabel",
-    "marker",
-    "selected",
-    "unselected",
-]
-
-from plotly.graph_objs.violin import unselected
-from plotly.graph_objs.violin import selected
-from plotly.graph_objs.violin import marker
-from plotly.graph_objs.violin import hoverlabel
-from plotly.graph_objs.violin import box
+import sys
+
+if sys.version_info < (3, 7):
+    from ._unselected import Unselected
+    from ._stream import Stream
+    from ._selected import Selected
+    from ._meanline import Meanline
+    from ._marker import Marker
+    from ._line import Line
+    from ._hoverlabel import Hoverlabel
+    from ._box import Box
+    from . import unselected
+    from . import selected
+    from . import marker
+    from . import hoverlabel
+    from . import box
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".unselected", ".selected", ".marker", ".hoverlabel", ".box"],
+        [
+            "._unselected.Unselected",
+            "._stream.Stream",
+            "._selected.Selected",
+            "._meanline.Meanline",
+            "._marker.Marker",
+            "._line.Line",
+            "._hoverlabel.Hoverlabel",
+            "._box.Box",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_box.py b/packages/python/plotly/plotly/graph_objs/violin/_box.py
new file mode 100644
index 00000000000..8ead8947413
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_box.py
@@ -0,0 +1,241 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Box(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.box"
+    _valid_props = {"fillcolor", "line", "visible", "width"}
+
+    # fillcolor
+    # ---------
+    @property
+    def fillcolor(self):
+        """
+        Sets the inner box plot fill color.
+    
+        The 'fillcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["fillcolor"]
+
+    @fillcolor.setter
+    def fillcolor(self, val):
+        self["fillcolor"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.box.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the inner box plot bounding line color.
+                width
+                    Sets the inner box plot bounding line width.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.box.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines if an miniature box plot is drawn inside the
+        violins.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the inner box plots relative to the violins'
+        width. For example, with 1, the inner box plots are as wide as
+        the violins.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fillcolor
+            Sets the inner box plot fill color.
+        line
+            :class:`plotly.graph_objects.violin.box.Line` instance
+            or dict with compatible properties
+        visible
+            Determines if an miniature box plot is drawn inside the
+            violins.
+        width
+            Sets the width of the inner box plots relative to the
+            violins' width. For example, with 1, the inner box
+            plots are as wide as the violins.
+        """
+
+    def __init__(
+        self, arg=None, fillcolor=None, line=None, visible=None, width=None, **kwargs
+    ):
+        """
+        Construct a new Box object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.violin.Box`
+        fillcolor
+            Sets the inner box plot fill color.
+        line
+            :class:`plotly.graph_objects.violin.box.Line` instance
+            or dict with compatible properties
+        visible
+            Determines if an miniature box plot is drawn inside the
+            violins.
+        width
+            Sets the width of the inner box plots relative to the
+            violins' width. For example, with 1, the inner box
+            plots are as wide as the violins.
+
+        Returns
+        -------
+        Box
+        """
+        super(Box, self).__init__("box")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Box 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Box`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fillcolor", None)
+        _v = fillcolor if fillcolor is not None else _v
+        if _v is not None:
+            self["fillcolor"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/violin/_hoverlabel.py
new file mode 100644
index 00000000000..3c8d6c107eb
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.violin.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_line.py b/packages/python/plotly/plotly/graph_objs/violin/_line.py
new file mode 100644
index 00000000000..185fd849429
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_line.py
@@ -0,0 +1,164 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of line bounding the violin(s).
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of line bounding the violin(s).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of line bounding the violin(s).
+        width
+            Sets the width (in px) of line bounding the violin(s).
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.violin.Line`
+        color
+            Sets the color of line bounding the violin(s).
+        width
+            Sets the width (in px) of line bounding the violin(s).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_marker.py b/packages/python/plotly/plotly/graph_objs/violin/_marker.py
new file mode 100644
index 00000000000..e5113146d00
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_marker.py
@@ -0,0 +1,430 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.marker"
+    _valid_props = {"color", "line", "opacity", "outliercolor", "size", "symbol"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarkercolor. It accepts either a specific color or an
+        array of numbers that are mapped to the colorscale relative to
+        the max and min values of the array or relative to
+        `marker.cmin` and `marker.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets themarker.linecolor. It accepts either a
+                    specific color or an array of numbers that are
+                    mapped to the colorscale relative to the max
+                    and min values of the array or relative to
+                    `marker.line.cmin` and `marker.line.cmax` if
+                    set.
+                outliercolor
+                    Sets the border line color of the outlier
+                    sample points. Defaults to marker.color
+                outlierwidth
+                    Sets the border line width (in px) of the
+                    outlier sample points.
+                width
+                    Sets the width (in px) of the lines bounding
+                    the marker points.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # outliercolor
+    # ------------
+    @property
+    def outliercolor(self):
+        """
+        Sets the color of the outlier sample points.
+    
+        The 'outliercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outliercolor"]
+
+    @outliercolor.setter
+    def outliercolor(self, val):
+        self["outliercolor"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size (in px).
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # symbol
+    # ------
+    @property
+    def symbol(self):
+        """
+        Sets the marker symbol type. Adding 100 is equivalent to
+        appending "-open" to a symbol name. Adding 200 is equivalent to
+        appending "-dot" to a symbol name. Adding 300 is equivalent to
+        appending "-open-dot" or "dot-open" to a symbol name.
+    
+        The 'symbol' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300,
+                'circle-open-dot', 1, 'square', 101, 'square-open', 201,
+                'square-dot', 301, 'square-open-dot', 2, 'diamond', 102,
+                'diamond-open', 202, 'diamond-dot', 302,
+                'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203,
+                'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open',
+                204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105,
+                'triangle-up-open', 205, 'triangle-up-dot', 305,
+                'triangle-up-open-dot', 6, 'triangle-down', 106,
+                'triangle-down-open', 206, 'triangle-down-dot', 306,
+                'triangle-down-open-dot', 7, 'triangle-left', 107,
+                'triangle-left-open', 207, 'triangle-left-dot', 307,
+                'triangle-left-open-dot', 8, 'triangle-right', 108,
+                'triangle-right-open', 208, 'triangle-right-dot', 308,
+                'triangle-right-open-dot', 9, 'triangle-ne', 109,
+                'triangle-ne-open', 209, 'triangle-ne-dot', 309,
+                'triangle-ne-open-dot', 10, 'triangle-se', 110,
+                'triangle-se-open', 210, 'triangle-se-dot', 310,
+                'triangle-se-open-dot', 11, 'triangle-sw', 111,
+                'triangle-sw-open', 211, 'triangle-sw-dot', 311,
+                'triangle-sw-open-dot', 12, 'triangle-nw', 112,
+                'triangle-nw-open', 212, 'triangle-nw-dot', 312,
+                'triangle-nw-open-dot', 13, 'pentagon', 113,
+                'pentagon-open', 213, 'pentagon-dot', 313,
+                'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open',
+                214, 'hexagon-dot', 314, 'hexagon-open-dot', 15,
+                'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot',
+                315, 'hexagon2-open-dot', 16, 'octagon', 116,
+                'octagon-open', 216, 'octagon-dot', 316,
+                'octagon-open-dot', 17, 'star', 117, 'star-open', 217,
+                'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118,
+                'hexagram-open', 218, 'hexagram-dot', 318,
+                'hexagram-open-dot', 19, 'star-triangle-up', 119,
+                'star-triangle-up-open', 219, 'star-triangle-up-dot', 319,
+                'star-triangle-up-open-dot', 20, 'star-triangle-down',
+                120, 'star-triangle-down-open', 220,
+                'star-triangle-down-dot', 320,
+                'star-triangle-down-open-dot', 21, 'star-square', 121,
+                'star-square-open', 221, 'star-square-dot', 321,
+                'star-square-open-dot', 22, 'star-diamond', 122,
+                'star-diamond-open', 222, 'star-diamond-dot', 322,
+                'star-diamond-open-dot', 23, 'diamond-tall', 123,
+                'diamond-tall-open', 223, 'diamond-tall-dot', 323,
+                'diamond-tall-open-dot', 24, 'diamond-wide', 124,
+                'diamond-wide-open', 224, 'diamond-wide-dot', 324,
+                'diamond-wide-open-dot', 25, 'hourglass', 125,
+                'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27,
+                'circle-cross', 127, 'circle-cross-open', 28, 'circle-x',
+                128, 'circle-x-open', 29, 'square-cross', 129,
+                'square-cross-open', 30, 'square-x', 130, 'square-x-open',
+                31, 'diamond-cross', 131, 'diamond-cross-open', 32,
+                'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133,
+                'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35,
+                'asterisk', 135, 'asterisk-open', 36, 'hash', 136,
+                'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37,
+                'y-up', 137, 'y-up-open', 38, 'y-down', 138,
+                'y-down-open', 39, 'y-left', 139, 'y-left-open', 40,
+                'y-right', 140, 'y-right-open', 41, 'line-ew', 141,
+                'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43,
+                'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144,
+                'line-nw-open']
+
+        Returns
+        -------
+        Any
+        """
+        return self["symbol"]
+
+    @symbol.setter
+    def symbol(self, val):
+        self["symbol"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        line
+            :class:`plotly.graph_objects.violin.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        outliercolor
+            Sets the color of the outlier sample points.
+        size
+            Sets the marker size (in px).
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        line=None,
+        opacity=None,
+        outliercolor=None,
+        size=None,
+        symbol=None,
+        **kwargs
+    ):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.violin.Marker`
+        color
+            Sets themarkercolor. It accepts either a specific color
+            or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.cmin` and `marker.cmax` if
+            set.
+        line
+            :class:`plotly.graph_objects.violin.marker.Line`
+            instance or dict with compatible properties
+        opacity
+            Sets the marker opacity.
+        outliercolor
+            Sets the color of the outlier sample points.
+        size
+            Sets the marker size (in px).
+        symbol
+            Sets the marker symbol type. Adding 100 is equivalent
+            to appending "-open" to a symbol name. Adding 200 is
+            equivalent to appending "-dot" to a symbol name. Adding
+            300 is equivalent to appending "-open-dot" or "dot-
+            open" to a symbol name.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("outliercolor", None)
+        _v = outliercolor if outliercolor is not None else _v
+        if _v is not None:
+            self["outliercolor"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("symbol", None)
+        _v = symbol if symbol is not None else _v
+        if _v is not None:
+            self["symbol"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_meanline.py b/packages/python/plotly/plotly/graph_objs/violin/_meanline.py
new file mode 100644
index 00000000000..b5bc5f3726b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_meanline.py
@@ -0,0 +1,204 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Meanline(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.meanline"
+    _valid_props = {"color", "visible", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the mean line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines if a line corresponding to the sample's mean is
+        shown inside the violins. If `box.visible` is turned on, the
+        mean line is drawn inside the inner box. Otherwise, the mean
+        line is drawn from one side of the violin to other.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the mean line width.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the mean line color.
+        visible
+            Determines if a line corresponding to the sample's mean
+            is shown inside the violins. If `box.visible` is turned
+            on, the mean line is drawn inside the inner box.
+            Otherwise, the mean line is drawn from one side of the
+            violin to other.
+        width
+            Sets the mean line width.
+        """
+
+    def __init__(self, arg=None, color=None, visible=None, width=None, **kwargs):
+        """
+        Construct a new Meanline object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.Meanline`
+        color
+            Sets the mean line color.
+        visible
+            Determines if a line corresponding to the sample's mean
+            is shown inside the violins. If `box.visible` is turned
+            on, the mean line is drawn inside the inner box.
+            Otherwise, the mean line is drawn from one side of the
+            violin to other.
+        width
+            Sets the mean line width.
+
+        Returns
+        -------
+        Meanline
+        """
+        super(Meanline, self).__init__("meanline")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Meanline 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Meanline`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_selected.py b/packages/python/plotly/plotly/graph_objs/violin/_selected.py
new file mode 100644
index 00000000000..abbc5998d48
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_selected.py
@@ -0,0 +1,110 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Selected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.selected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.selected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of selected points.
+                opacity
+                    Sets the marker opacity of selected points.
+                size
+                    Sets the marker size of selected points.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.selected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.violin.selected.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Selected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.Selected`
+        marker
+            :class:`plotly.graph_objects.violin.selected.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Selected
+        """
+        super(Selected, self).__init__("selected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Selected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Selected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_stream.py b/packages/python/plotly/plotly/graph_objs/violin/_stream.py
new file mode 100644
index 00000000000..61ce66df07d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.violin.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/_unselected.py b/packages/python/plotly/plotly/graph_objs/violin/_unselected.py
new file mode 100644
index 00000000000..8e4ad90ed6f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/_unselected.py
@@ -0,0 +1,113 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Unselected(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin"
+    _path_str = "violin.unselected"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.violin.unselected.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of unselected points,
+                    applied only when a selection exists.
+                opacity
+                    Sets the marker opacity of unselected points,
+                    applied only when a selection exists.
+                size
+                    Sets the marker size of unselected points,
+                    applied only when a selection exists.
+
+        Returns
+        -------
+        plotly.graph_objs.violin.unselected.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.violin.unselected.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Unselected object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.Unselected`
+        marker
+            :class:`plotly.graph_objects.violin.unselected.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Unselected
+        """
+        super(Unselected, self).__init__("unselected")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.Unselected 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.Unselected`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/box/__init__.py b/packages/python/plotly/plotly/graph_objs/violin/box/__init__.py
index 2aff47d1ca2..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/violin/box/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/violin/box/__init__.py
@@ -1,169 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the inner box plot bounding line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the inner box plot bounding line width.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin.box"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the inner box plot bounding line color.
-        width
-            Sets the inner box plot bounding line width.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.box.Line`
-        color
-            Sets the inner box plot bounding line color.
-        width
-            Sets the inner box plot bounding line width.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.box.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.box.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin.box import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/violin/box/_line.py b/packages/python/plotly/plotly/graph_objs/violin/box/_line.py
new file mode 100644
index 00000000000..1b2f0b4720f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/box/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin.box"
+    _path_str = "violin.box.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the inner box plot bounding line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the inner box plot bounding line width.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the inner box plot bounding line color.
+        width
+            Sets the inner box plot bounding line width.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.box.Line`
+        color
+            Sets the inner box plot bounding line color.
+        width
+            Sets the inner box plot bounding line width.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.box.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.box.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/__init__.py
index 2a5660ed0e7..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/_font.py
new file mode 100644
index 00000000000..cc8fd3deb28
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin.hoverlabel"
+    _path_str = "violin.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/violin/marker/__init__.py
index 51c23240e70..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/violin/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/violin/marker/__init__.py
@@ -1,289 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets themarker.linecolor. It accepts either a specific color or
-        an array of numbers that are mapped to the colorscale relative
-        to the max and min values of the array or relative to
-        `marker.line.cmin` and `marker.line.cmax` if set.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # outliercolor
-    # ------------
-    @property
-    def outliercolor(self):
-        """
-        Sets the border line color of the outlier sample points.
-        Defaults to marker.color
-    
-        The 'outliercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outliercolor"]
-
-    @outliercolor.setter
-    def outliercolor(self, val):
-        self["outliercolor"] = val
-
-    # outlierwidth
-    # ------------
-    @property
-    def outlierwidth(self):
-        """
-        Sets the border line width (in px) of the outlier sample
-        points.
-    
-        The 'outlierwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlierwidth"]
-
-    @outlierwidth.setter
-    def outlierwidth(self, val):
-        self["outlierwidth"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width (in px) of the lines bounding the marker points.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        outliercolor
-            Sets the border line color of the outlier sample
-            points. Defaults to marker.color
-        outlierwidth
-            Sets the border line width (in px) of the outlier
-            sample points.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        outliercolor=None,
-        outlierwidth=None,
-        width=None,
-        **kwargs
-    ):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.marker.Line`
-        color
-            Sets themarker.linecolor. It accepts either a specific
-            color or an array of numbers that are mapped to the
-            colorscale relative to the max and min values of the
-            array or relative to `marker.line.cmin` and
-            `marker.line.cmax` if set.
-        outliercolor
-            Sets the border line color of the outlier sample
-            points. Defaults to marker.color
-        outlierwidth
-            Sets the border line width (in px) of the outlier
-            sample points.
-        width
-            Sets the width (in px) of the lines bounding the marker
-            points.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["outliercolor"] = v_line.OutliercolorValidator()
-        self._validators["outlierwidth"] = v_line.OutlierwidthValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("outliercolor", None)
-        self["outliercolor"] = outliercolor if outliercolor is not None else _v
-        _v = arg.pop("outlierwidth", None)
-        self["outlierwidth"] = outlierwidth if outlierwidth is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/violin/marker/_line.py b/packages/python/plotly/plotly/graph_objs/violin/marker/_line.py
new file mode 100644
index 00000000000..f6e31bbc5b7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/marker/_line.py
@@ -0,0 +1,287 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin.marker"
+    _path_str = "violin.marker.line"
+    _valid_props = {"color", "outliercolor", "outlierwidth", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets themarker.linecolor. It accepts either a specific color or
+        an array of numbers that are mapped to the colorscale relative
+        to the max and min values of the array or relative to
+        `marker.line.cmin` and `marker.line.cmax` if set.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # outliercolor
+    # ------------
+    @property
+    def outliercolor(self):
+        """
+        Sets the border line color of the outlier sample points.
+        Defaults to marker.color
+    
+        The 'outliercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outliercolor"]
+
+    @outliercolor.setter
+    def outliercolor(self, val):
+        self["outliercolor"] = val
+
+    # outlierwidth
+    # ------------
+    @property
+    def outlierwidth(self):
+        """
+        Sets the border line width (in px) of the outlier sample
+        points.
+    
+        The 'outlierwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlierwidth"]
+
+    @outlierwidth.setter
+    def outlierwidth(self, val):
+        self["outlierwidth"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width (in px) of the lines bounding the marker points.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        outliercolor
+            Sets the border line color of the outlier sample
+            points. Defaults to marker.color
+        outlierwidth
+            Sets the border line width (in px) of the outlier
+            sample points.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        outliercolor=None,
+        outlierwidth=None,
+        width=None,
+        **kwargs
+    ):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.marker.Line`
+        color
+            Sets themarker.linecolor. It accepts either a specific
+            color or an array of numbers that are mapped to the
+            colorscale relative to the max and min values of the
+            array or relative to `marker.line.cmin` and
+            `marker.line.cmax` if set.
+        outliercolor
+            Sets the border line color of the outlier sample
+            points. Defaults to marker.color
+        outlierwidth
+            Sets the border line width (in px) of the outlier
+            sample points.
+        width
+            Sets the width (in px) of the lines bounding the marker
+            points.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("outliercolor", None)
+        _v = outliercolor if outliercolor is not None else _v
+        if _v is not None:
+            self["outliercolor"] = _v
+        _v = arg.pop("outlierwidth", None)
+        _v = outlierwidth if outlierwidth is not None else _v
+        if _v is not None:
+            self["outlierwidth"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/selected/__init__.py b/packages/python/plotly/plotly/graph_objs/violin/selected/__init__.py
index 5ca73b8dd96..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/violin/selected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/violin/selected/__init__.py
@@ -1,196 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of selected points.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of selected points.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of selected points.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin.selected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.selected.Marker`
-        color
-            Sets the marker color of selected points.
-        opacity
-            Sets the marker opacity of selected points.
-        size
-            Sets the marker size of selected points.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.selected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.selected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin.selected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/violin/selected/_marker.py b/packages/python/plotly/plotly/graph_objs/violin/selected/_marker.py
new file mode 100644
index 00000000000..ea1cb5ee533
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/selected/_marker.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin.selected"
+    _path_str = "violin.selected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of selected points.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of selected points.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of selected points.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.selected.Marker`
+        color
+            Sets the marker color of selected points.
+        opacity
+            Sets the marker opacity of selected points.
+        size
+            Sets the marker size of selected points.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.selected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.selected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/violin/unselected/__init__.py b/packages/python/plotly/plotly/graph_objs/violin/unselected/__init__.py
index bde219f89e2..0bf20934dda 100644
--- a/packages/python/plotly/plotly/graph_objs/violin/unselected/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/violin/unselected/__init__.py
@@ -1,205 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of unselected points, applied only when a
-        selection exists.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # opacity
-    # -------
-    @property
-    def opacity(self):
-        """
-        Sets the marker opacity of unselected points, applied only when
-        a selection exists.
-    
-        The 'opacity' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["opacity"]
-
-    @opacity.setter
-    def opacity(self, val):
-        self["opacity"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        Sets the marker size of unselected points, applied only when a
-        selection exists.
-    
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "violin.unselected"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-        """
-
-    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.violin.unselected.Marker`
-        color
-            Sets the marker color of unselected points, applied
-            only when a selection exists.
-        opacity
-            Sets the marker opacity of unselected points, applied
-            only when a selection exists.
-        size
-            Sets the marker size of unselected points, applied only
-            when a selection exists.
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.violin.unselected.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.violin.unselected.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.violin.unselected import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["opacity"] = v_marker.OpacityValidator()
-        self._validators["size"] = v_marker.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("opacity", None)
-        self["opacity"] = opacity if opacity is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._marker.Marker"])
diff --git a/packages/python/plotly/plotly/graph_objs/violin/unselected/_marker.py b/packages/python/plotly/plotly/graph_objs/violin/unselected/_marker.py
new file mode 100644
index 00000000000..7f234036947
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/violin/unselected/_marker.py
@@ -0,0 +1,202 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "violin.unselected"
+    _path_str = "violin.unselected.marker"
+    _valid_props = {"color", "opacity", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of unselected points, applied only when a
+        selection exists.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # opacity
+    # -------
+    @property
+    def opacity(self):
+        """
+        Sets the marker opacity of unselected points, applied only when
+        a selection exists.
+    
+        The 'opacity' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["opacity"]
+
+    @opacity.setter
+    def opacity(self, val):
+        self["opacity"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        Sets the marker size of unselected points, applied only when a
+        selection exists.
+    
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+        """
+
+    def __init__(self, arg=None, color=None, opacity=None, size=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.violin.unselected.Marker`
+        color
+            Sets the marker color of unselected points, applied
+            only when a selection exists.
+        opacity
+            Sets the marker opacity of unselected points, applied
+            only when a selection exists.
+        size
+            Sets the marker size of unselected points, applied only
+            when a selection exists.
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.violin.unselected.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.violin.unselected.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("opacity", None)
+        _v = opacity if opacity is not None else _v
+        if _v is not None:
+            self["opacity"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/__init__.py b/packages/python/plotly/plotly/graph_objs/volume/__init__.py
index 7e7ee439020..b2acee2453c 100644
--- a/packages/python/plotly/plotly/graph_objs/volume/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/volume/__init__.py
@@ -1,3998 +1,36 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Surface(_BaseTraceHierarchyType):
-
-    # count
-    # -----
-    @property
-    def count(self):
-        """
-        Sets the number of iso-surfaces between minimum and maximum
-        iso-values. By default this value is 2 meaning that only
-        minimum and maximum surfaces would be drawn.
-    
-        The 'count' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [1, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["count"]
-
-    @count.setter
-    def count(self, val):
-        self["count"] = val
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the iso-surface. The default fill value
-        of the surface is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # pattern
-    # -------
-    @property
-    def pattern(self):
-        """
-        Sets the surface pattern of the iso-surface 3-D sections. The
-        default pattern of the surface is `all` meaning that the rest
-        of surface elements would be shaded. The check options (either
-        1 or 2) could be used to draw half of the squares on the
-        surface. Using various combinations of capital `A`, `B`, `C`,
-        `D` and `E` may also be used to reduce the number of triangles
-        on the iso-surfaces and creating other patterns of interest.
-    
-        The 'pattern' property is a flaglist and may be specified
-        as a string containing:
-          - Any combination of ['A', 'B', 'C', 'D', 'E'] joined with '+' characters
-            (e.g. 'A+B')
-            OR exactly one of ['all', 'odd', 'even'] (e.g. 'even')
-
-        Returns
-        -------
-        Any
-        """
-        return self["pattern"]
-
-    @pattern.setter
-    def pattern(self, val):
-        self["pattern"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Hides/displays surfaces between minimum and maximum iso-values.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        count
-            Sets the number of iso-surfaces between minimum and
-            maximum iso-values. By default this value is 2 meaning
-            that only minimum and maximum surfaces would be drawn.
-        fill
-            Sets the fill ratio of the iso-surface. The default
-            fill value of the surface is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        pattern
-            Sets the surface pattern of the iso-surface 3-D
-            sections. The default pattern of the surface is `all`
-            meaning that the rest of surface elements would be
-            shaded. The check options (either 1 or 2) could be used
-            to draw half of the squares on the surface. Using
-            various combinations of capital `A`, `B`, `C`, `D` and
-            `E` may also be used to reduce the number of triangles
-            on the iso-surfaces and creating other patterns of
-            interest.
-        show
-            Hides/displays surfaces between minimum and maximum
-            iso-values.
-        """
-
-    def __init__(
-        self, arg=None, count=None, fill=None, pattern=None, show=None, **kwargs
-    ):
-        """
-        Construct a new Surface object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.Surface`
-        count
-            Sets the number of iso-surfaces between minimum and
-            maximum iso-values. By default this value is 2 meaning
-            that only minimum and maximum surfaces would be drawn.
-        fill
-            Sets the fill ratio of the iso-surface. The default
-            fill value of the surface is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        pattern
-            Sets the surface pattern of the iso-surface 3-D
-            sections. The default pattern of the surface is `all`
-            meaning that the rest of surface elements would be
-            shaded. The check options (either 1 or 2) could be used
-            to draw half of the squares on the surface. Using
-            various combinations of capital `A`, `B`, `C`, `D` and
-            `E` may also be used to reduce the number of triangles
-            on the iso-surfaces and creating other patterns of
-            interest.
-        show
-            Hides/displays surfaces between minimum and maximum
-            iso-values.
-
-        Returns
-        -------
-        Surface
-        """
-        super(Surface, self).__init__("surface")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Surface 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Surface`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import surface as v_surface
-
-        # Initialize validators
-        # ---------------------
-        self._validators["count"] = v_surface.CountValidator()
-        self._validators["fill"] = v_surface.FillValidator()
-        self._validators["pattern"] = v_surface.PatternValidator()
-        self._validators["show"] = v_surface.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("count", None)
-        self["count"] = count if count is not None else _v
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("pattern", None)
-        self["pattern"] = pattern if pattern is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Spaceframe(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `spaceframe` elements. The default
-        fill value is 1 meaning that they are entirely shaded. Applying
-        a `fill` ratio less than one would allow the creation of
-        openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Displays/hides tetrahedron shapes between minimum and maximum
-        iso-values. Often useful when either caps or surfaces are
-        disabled or filled with values less than 1.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `spaceframe` elements. The
-            default fill value is 1 meaning that they are entirely
-            shaded. Applying a `fill` ratio less than one would
-            allow the creation of openings parallel to the edges.
-        show
-            Displays/hides tetrahedron shapes between minimum and
-            maximum iso-values. Often useful when either caps or
-            surfaces are disabled or filled with values less than
-            1.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new Spaceframe object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.Spaceframe`
-        fill
-            Sets the fill ratio of the `spaceframe` elements. The
-            default fill value is 1 meaning that they are entirely
-            shaded. Applying a `fill` ratio less than one would
-            allow the creation of openings parallel to the edges.
-        show
-            Displays/hides tetrahedron shapes between minimum and
-            maximum iso-values. Often useful when either caps or
-            surfaces are disabled or filled with values less than
-            1.
-
-        Returns
-        -------
-        Spaceframe
-        """
-        super(Spaceframe, self).__init__("spaceframe")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Spaceframe 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Spaceframe`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import spaceframe as v_spaceframe
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_spaceframe.FillValidator()
-        self._validators["show"] = v_spaceframe.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Slices(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is an instance of X
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.slices.X`
-          - A dict of string/value properties that will be passed
-            to the X constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the `slices` is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                locations
-                    Specifies the location(s) of slices on the
-                    axis. When not specified slices would be
-                    created for all points of the axis x except
-                    start and end.
-                locationssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  locations .
-                show
-                    Determines whether or not slice planes about
-                    the x dimension are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.slices.X
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is an instance of Y
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.slices.Y`
-          - A dict of string/value properties that will be passed
-            to the Y constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the `slices` is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                locations
-                    Specifies the location(s) of slices on the
-                    axis. When not specified slices would be
-                    created for all points of the axis y except
-                    start and end.
-                locationssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  locations .
-                show
-                    Determines whether or not slice planes about
-                    the y dimension are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.slices.Y
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is an instance of Z
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.slices.Z`
-          - A dict of string/value properties that will be passed
-            to the Z constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the `slices` is 1 meaning
-                    that they are entirely shaded. On the other
-                    hand Applying a `fill` ratio less than one
-                    would allow the creation of openings parallel
-                    to the edges.
-                locations
-                    Specifies the location(s) of slices on the
-                    axis. When not specified slices would be
-                    created for all points of the axis z except
-                    start and end.
-                locationssrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  locations .
-                show
-                    Determines whether or not slice planes about
-                    the z dimension are drawn.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.slices.Z
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            :class:`plotly.graph_objects.volume.slices.X` instance
-            or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.volume.slices.Y` instance
-            or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.volume.slices.Z` instance
-            or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Slices object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.Slices`
-        x
-            :class:`plotly.graph_objects.volume.slices.X` instance
-            or dict with compatible properties
-        y
-            :class:`plotly.graph_objects.volume.slices.Y` instance
-            or dict with compatible properties
-        z
-            :class:`plotly.graph_objects.volume.slices.Z` instance
-            or dict with compatible properties
-
-        Returns
-        -------
-        Slices
-        """
-        super(Slices, self).__init__("slices")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Slices 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Slices`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import slices as v_slices
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_slices.XValidator()
-        self._validators["y"] = v_slices.YValidator()
-        self._validators["z"] = v_slices.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lightposition(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Numeric vector, representing the X coordinate for each vertex.
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Numeric vector, representing the Y coordinate for each vertex.
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        Numeric vector, representing the Z coordinate for each vertex.
-    
-        The 'z' property is a number and may be specified as:
-          - An int or float in the interval [-100000, 100000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Lightposition object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.Lightposition`
-        x
-            Numeric vector, representing the X coordinate for each
-            vertex.
-        y
-            Numeric vector, representing the Y coordinate for each
-            vertex.
-        z
-            Numeric vector, representing the Z coordinate for each
-            vertex.
-
-        Returns
-        -------
-        Lightposition
-        """
-        super(Lightposition, self).__init__("lightposition")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Lightposition 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Lightposition`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import lightposition as v_lightposition
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_lightposition.XValidator()
-        self._validators["y"] = v_lightposition.YValidator()
-        self._validators["z"] = v_lightposition.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Lighting(_BaseTraceHierarchyType):
-
-    # ambient
-    # -------
-    @property
-    def ambient(self):
-        """
-        Ambient light increases overall color visibility but can wash
-        out the image.
-    
-        The 'ambient' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ambient"]
-
-    @ambient.setter
-    def ambient(self, val):
-        self["ambient"] = val
-
-    # diffuse
-    # -------
-    @property
-    def diffuse(self):
-        """
-        Represents the extent that incident rays are reflected in a
-        range of angles.
-    
-        The 'diffuse' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["diffuse"]
-
-    @diffuse.setter
-    def diffuse(self, val):
-        self["diffuse"] = val
-
-    # facenormalsepsilon
-    # ------------------
-    @property
-    def facenormalsepsilon(self):
-        """
-        Epsilon for face normals calculation avoids math issues arising
-        from degenerate geometry.
-    
-        The 'facenormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["facenormalsepsilon"]
-
-    @facenormalsepsilon.setter
-    def facenormalsepsilon(self, val):
-        self["facenormalsepsilon"] = val
-
-    # fresnel
-    # -------
-    @property
-    def fresnel(self):
-        """
-        Represents the reflectance as a dependency of the viewing
-        angle; e.g. paper is reflective when viewing it from the edge
-        of the paper (almost 90 degrees), causing shine.
-    
-        The 'fresnel' property is a number and may be specified as:
-          - An int or float in the interval [0, 5]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fresnel"]
-
-    @fresnel.setter
-    def fresnel(self, val):
-        self["fresnel"] = val
-
-    # roughness
-    # ---------
-    @property
-    def roughness(self):
-        """
-        Alters specular reflection; the rougher the surface, the wider
-        and less contrasty the shine.
-    
-        The 'roughness' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["roughness"]
-
-    @roughness.setter
-    def roughness(self, val):
-        self["roughness"] = val
-
-    # specular
-    # --------
-    @property
-    def specular(self):
-        """
-        Represents the level that incident rays are reflected in a
-        single direction, causing shine.
-    
-        The 'specular' property is a number and may be specified as:
-          - An int or float in the interval [0, 2]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["specular"]
-
-    @specular.setter
-    def specular(self, val):
-        self["specular"] = val
-
-    # vertexnormalsepsilon
-    # --------------------
-    @property
-    def vertexnormalsepsilon(self):
-        """
-        Epsilon for vertex normals calculation avoids math issues
-        arising from degenerate geometry.
-    
-        The 'vertexnormalsepsilon' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["vertexnormalsepsilon"]
-
-    @vertexnormalsepsilon.setter
-    def vertexnormalsepsilon(self, val):
-        self["vertexnormalsepsilon"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        ambient=None,
-        diffuse=None,
-        facenormalsepsilon=None,
-        fresnel=None,
-        roughness=None,
-        specular=None,
-        vertexnormalsepsilon=None,
-        **kwargs
-    ):
-        """
-        Construct a new Lighting object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.Lighting`
-        ambient
-            Ambient light increases overall color visibility but
-            can wash out the image.
-        diffuse
-            Represents the extent that incident rays are reflected
-            in a range of angles.
-        facenormalsepsilon
-            Epsilon for face normals calculation avoids math issues
-            arising from degenerate geometry.
-        fresnel
-            Represents the reflectance as a dependency of the
-            viewing angle; e.g. paper is reflective when viewing it
-            from the edge of the paper (almost 90 degrees), causing
-            shine.
-        roughness
-            Alters specular reflection; the rougher the surface,
-            the wider and less contrasty the shine.
-        specular
-            Represents the level that incident rays are reflected
-            in a single direction, causing shine.
-        vertexnormalsepsilon
-            Epsilon for vertex normals calculation avoids math
-            issues arising from degenerate geometry.
-
-        Returns
-        -------
-        Lighting
-        """
-        super(Lighting, self).__init__("lighting")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Lighting 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Lighting`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import lighting as v_lighting
-
-        # Initialize validators
-        # ---------------------
-        self._validators["ambient"] = v_lighting.AmbientValidator()
-        self._validators["diffuse"] = v_lighting.DiffuseValidator()
-        self._validators[
-            "facenormalsepsilon"
-        ] = v_lighting.FacenormalsepsilonValidator()
-        self._validators["fresnel"] = v_lighting.FresnelValidator()
-        self._validators["roughness"] = v_lighting.RoughnessValidator()
-        self._validators["specular"] = v_lighting.SpecularValidator()
-        self._validators[
-            "vertexnormalsepsilon"
-        ] = v_lighting.VertexnormalsepsilonValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("ambient", None)
-        self["ambient"] = ambient if ambient is not None else _v
-        _v = arg.pop("diffuse", None)
-        self["diffuse"] = diffuse if diffuse is not None else _v
-        _v = arg.pop("facenormalsepsilon", None)
-        self["facenormalsepsilon"] = (
-            facenormalsepsilon if facenormalsepsilon is not None else _v
-        )
-        _v = arg.pop("fresnel", None)
-        self["fresnel"] = fresnel if fresnel is not None else _v
-        _v = arg.pop("roughness", None)
-        self["roughness"] = roughness if roughness is not None else _v
-        _v = arg.pop("specular", None)
-        self["specular"] = specular if specular is not None else _v
-        _v = arg.pop("vertexnormalsepsilon", None)
-        self["vertexnormalsepsilon"] = (
-            vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
-        )
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.volume.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Contour(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the color of the contour lines.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets whether or not dynamic contours are shown on hover
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the width of the contour lines.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [1, 16]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the color of the contour lines.
-        show
-            Sets whether or not dynamic contours are shown on hover
-        width
-            Sets the width of the contour lines.
-        """
-
-    def __init__(self, arg=None, color=None, show=None, width=None, **kwargs):
-        """
-        Construct a new Contour object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.Contour`
-        color
-            Sets the color of the contour lines.
-        show
-            Sets whether or not dynamic contours are shown on hover
-        width
-            Sets the width of the contour lines.
-
-        Returns
-        -------
-        Contour
-        """
-        super(Contour, self).__init__("contour")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Contour 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Contour`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import contour as v_contour
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_contour.ColorValidator()
-        self._validators["show"] = v_contour.ShowValidator()
-        self._validators["width"] = v_contour.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class ColorBar(_BaseTraceHierarchyType):
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the color of padded area.
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # borderwidth
-    # -----------
-    @property
-    def borderwidth(self):
-        """
-        Sets the width (in px) or the border enclosing this color bar.
-    
-        The 'borderwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["borderwidth"]
-
-    @borderwidth.setter
-    def borderwidth(self, val):
-        self["borderwidth"] = val
-
-    # dtick
-    # -----
-    @property
-    def dtick(self):
-        """
-        Sets the step in-between ticks on this axis. Use with `tick0`.
-        Must be a positive number, or special strings available to
-        "log" and "date" axes. If the axis `type` is "log", then ticks
-        are set every 10^(n*dtick) where n is the tick number. For
-        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
-        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
-        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
-        log_10(5), or 0.69897000433. "log" has several special values;
-        "L<f>", where `f` is a positive number, gives ticks linearly
-        spaced in value (but not position). For example `tick0` = 0.1,
-        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
-        show powers of 10 plus small digits between, use "D1" (all
-        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
-        "D2". If the axis `type` is "date", then you must convert the
-        time to milliseconds. For example, to set the interval between
-        ticks to one day, set `dtick` to 86400000.0. "date" also has
-        special values "M<n>" gives ticks spaced by a number of months.
-        `n` must be a positive integer. To set ticks on the 15th of
-        every third month, set `tick0` to "2000-01-15" and `dtick` to
-        "M3". To set ticks every 4 years, set `dtick` to "M48"
-    
-        The 'dtick' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["dtick"]
-
-    @dtick.setter
-    def dtick(self, val):
-        self["dtick"] = val
-
-    # exponentformat
-    # --------------
-    @property
-    def exponentformat(self):
-        """
-        Determines a formatting rule for the tick exponents. For
-        example, consider the number 1,000,000,000. If "none", it
-        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
-        "B", 1B.
-    
-        The 'exponentformat' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['none', 'e', 'E', 'power', 'SI', 'B']
-
-        Returns
-        -------
-        Any
-        """
-        return self["exponentformat"]
-
-    @exponentformat.setter
-    def exponentformat(self, val):
-        self["exponentformat"] = val
-
-    # len
-    # ---
-    @property
-    def len(self):
-        """
-        Sets the length of the color bar This measure excludes the
-        padding of both ends. That is, the color bar length is this
-        length minus the padding on both ends.
-    
-        The 'len' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["len"]
-
-    @len.setter
-    def len(self, val):
-        self["len"] = val
-
-    # lenmode
-    # -------
-    @property
-    def lenmode(self):
-        """
-        Determines whether this color bar's length (i.e. the measure in
-        the color variation direction) is set in units of plot
-        "fraction" or in *pixels. Use `len` to set the value.
-    
-        The 'lenmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["lenmode"]
-
-    @lenmode.setter
-    def lenmode(self, val):
-        self["lenmode"] = val
-
-    # nticks
-    # ------
-    @property
-    def nticks(self):
-        """
-        Specifies the maximum number of ticks for the particular axis.
-        The actual number of ticks will be chosen automatically to be
-        less than or equal to `nticks`. Has an effect only if
-        `tickmode` is set to "auto".
-    
-        The 'nticks' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [0, 9223372036854775807]
-
-        Returns
-        -------
-        int
-        """
-        return self["nticks"]
-
-    @nticks.setter
-    def nticks(self, val):
-        self["nticks"] = val
-
-    # outlinecolor
-    # ------------
-    @property
-    def outlinecolor(self):
-        """
-        Sets the axis line color.
-    
-        The 'outlinecolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["outlinecolor"]
-
-    @outlinecolor.setter
-    def outlinecolor(self, val):
-        self["outlinecolor"] = val
-
-    # outlinewidth
-    # ------------
-    @property
-    def outlinewidth(self):
-        """
-        Sets the width (in px) of the axis line.
-    
-        The 'outlinewidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["outlinewidth"]
-
-    @outlinewidth.setter
-    def outlinewidth(self, val):
-        self["outlinewidth"] = val
-
-    # separatethousands
-    # -----------------
-    @property
-    def separatethousands(self):
-        """
-        If "true", even 4-digit integers are separated
-    
-        The 'separatethousands' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["separatethousands"]
-
-    @separatethousands.setter
-    def separatethousands(self, val):
-        self["separatethousands"] = val
-
-    # showexponent
-    # ------------
-    @property
-    def showexponent(self):
-        """
-        If "all", all exponents are shown besides their significands.
-        If "first", only the exponent of the first tick is shown. If
-        "last", only the exponent of the last tick is shown. If "none",
-        no exponents appear.
-    
-        The 'showexponent' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showexponent"]
-
-    @showexponent.setter
-    def showexponent(self, val):
-        self["showexponent"] = val
-
-    # showticklabels
-    # --------------
-    @property
-    def showticklabels(self):
-        """
-        Determines whether or not the tick labels are drawn.
-    
-        The 'showticklabels' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["showticklabels"]
-
-    @showticklabels.setter
-    def showticklabels(self, val):
-        self["showticklabels"] = val
-
-    # showtickprefix
-    # --------------
-    @property
-    def showtickprefix(self):
-        """
-        If "all", all tick labels are displayed with a prefix. If
-        "first", only the first tick is displayed with a prefix. If
-        "last", only the last tick is displayed with a suffix. If
-        "none", tick prefixes are hidden.
-    
-        The 'showtickprefix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showtickprefix"]
-
-    @showtickprefix.setter
-    def showtickprefix(self, val):
-        self["showtickprefix"] = val
-
-    # showticksuffix
-    # --------------
-    @property
-    def showticksuffix(self):
-        """
-        Same as `showtickprefix` but for tick suffixes.
-    
-        The 'showticksuffix' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['all', 'first', 'last', 'none']
-
-        Returns
-        -------
-        Any
-        """
-        return self["showticksuffix"]
-
-    @showticksuffix.setter
-    def showticksuffix(self, val):
-        self["showticksuffix"] = val
-
-    # thickness
-    # ---------
-    @property
-    def thickness(self):
-        """
-        Sets the thickness of the color bar This measure excludes the
-        size of the padding, ticks and labels.
-    
-        The 'thickness' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["thickness"]
-
-    @thickness.setter
-    def thickness(self, val):
-        self["thickness"] = val
-
-    # thicknessmode
-    # -------------
-    @property
-    def thicknessmode(self):
-        """
-        Determines whether this color bar's thickness (i.e. the measure
-        in the constant color direction) is set in units of plot
-        "fraction" or in "pixels". Use `thickness` to set the value.
-    
-        The 'thicknessmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['fraction', 'pixels']
-
-        Returns
-        -------
-        Any
-        """
-        return self["thicknessmode"]
-
-    @thicknessmode.setter
-    def thicknessmode(self, val):
-        self["thicknessmode"] = val
-
-    # tick0
-    # -----
-    @property
-    def tick0(self):
-        """
-        Sets the placement of the first tick on this axis. Use with
-        `dtick`. If the axis `type` is "log", then you must take the
-        log of your starting tick (e.g. to set the starting tick to
-        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
-        `dtick` for more info). If the axis `type` is "date", it should
-        be a date string, like date data. If the axis `type` is
-        "category", it should be a number, using the scale where each
-        category is assigned a serial number from zero in the order it
-        appears.
-    
-        The 'tick0' property accepts values of any type
-
-        Returns
-        -------
-        Any
-        """
-        return self["tick0"]
-
-    @tick0.setter
-    def tick0(self, val):
-        self["tick0"] = val
-
-    # tickangle
-    # ---------
-    @property
-    def tickangle(self):
-        """
-        Sets the angle of the tick labels with respect to the
-        horizontal. For example, a `tickangle` of -90 draws the tick
-        labels vertically.
-    
-        The 'tickangle' property is a angle (in degrees) that may be
-        specified as a number between -180 and 180. Numeric values outside this
-        range are converted to the equivalent value
-        (e.g. 270 is converted to -90).
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickangle"]
-
-    @tickangle.setter
-    def tickangle(self, val):
-        self["tickangle"] = val
-
-    # tickcolor
-    # ---------
-    @property
-    def tickcolor(self):
-        """
-        Sets the tick color.
-    
-        The 'tickcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["tickcolor"]
-
-    @tickcolor.setter
-    def tickcolor(self, val):
-        self["tickcolor"] = val
-
-    # tickfont
-    # --------
-    @property
-    def tickfont(self):
-        """
-        Sets the color bar's tick label font
-    
-        The 'tickfont' property is an instance of Tickfont
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.colorbar.Tickfont`
-          - A dict of string/value properties that will be passed
-            to the Tickfont constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.volume.colorbar.Tickfont
-        """
-        return self["tickfont"]
-
-    @tickfont.setter
-    def tickfont(self, val):
-        self["tickfont"] = val
-
-    # tickformat
-    # ----------
-    @property
-    def tickformat(self):
-        """
-        Sets the tick label formatting rule using d3 formatting mini-
-        languages which are very similar to those in Python. For
-        numbers, see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Formatting.md#d3_format And for dates
-        see: https://github.com/d3/d3-3.x-api-
-        reference/blob/master/Time-Formatting.md#format We add one item
-        to d3's date formatter: "%{n}f" for fractional seconds with n
-        digits. For example, *2016-10-13 09:15:23.456* with tickformat
-        "%H~%M~%S.%2f" would display "09~15~23.46"
-    
-        The 'tickformat' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickformat"]
-
-    @tickformat.setter
-    def tickformat(self, val):
-        self["tickformat"] = val
-
-    # tickformatstops
-    # ---------------
-    @property
-    def tickformatstops(self):
-        """
-        The 'tickformatstops' property is a tuple of instances of
-        Tickformatstop that may be specified as:
-          - A list or tuple of instances of plotly.graph_objs.volume.colorbar.Tickformatstop
-          - A list or tuple of dicts of string/value properties that
-            will be passed to the Tickformatstop constructor
-    
-            Supported dict properties:
-                
-                dtickrange
-                    range [*min*, *max*], where "min", "max" -
-                    dtick values which describe some zoom level, it
-                    is possible to omit "min" or "max" value by
-                    passing "null"
-                enabled
-                    Determines whether or not this stop is used. If
-                    `false`, this stop is ignored even within its
-                    `dtickrange`.
-                name
-                    When used in a template, named items are
-                    created in the output figure in addition to any
-                    items the figure already has in this array. You
-                    can modify these items in the output figure by
-                    making your own item with `templateitemname`
-                    matching this `name` alongside your
-                    modifications (including `visible: false` or
-                    `enabled: false` to hide it). Has no effect
-                    outside of a template.
-                templateitemname
-                    Used to refer to a named item in this array in
-                    the template. Named items from the template
-                    will be created even without a matching item in
-                    the input figure, but you can modify one by
-                    making an item with `templateitemname` matching
-                    its `name`, alongside your modifications
-                    (including `visible: false` or `enabled: false`
-                    to hide it). If there is no template or no
-                    matching item, this item will be hidden unless
-                    you explicitly show it with `visible: true`.
-                value
-                    string - dtickformat for described zoom level,
-                    the same as "tickformat"
-
-        Returns
-        -------
-        tuple[plotly.graph_objs.volume.colorbar.Tickformatstop]
-        """
-        return self["tickformatstops"]
-
-    @tickformatstops.setter
-    def tickformatstops(self, val):
-        self["tickformatstops"] = val
-
-    # tickformatstopdefaults
-    # ----------------------
-    @property
-    def tickformatstopdefaults(self):
-        """
-        When used in a template (as
-        layout.template.data.volume.colorbar.tickformatstopdefaults),
-        sets the default property values to use for elements of
-        volume.colorbar.tickformatstops
-    
-        The 'tickformatstopdefaults' property is an instance of Tickformatstop
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.colorbar.Tickformatstop`
-          - A dict of string/value properties that will be passed
-            to the Tickformatstop constructor
-    
-            Supported dict properties:
-
-        Returns
-        -------
-        plotly.graph_objs.volume.colorbar.Tickformatstop
-        """
-        return self["tickformatstopdefaults"]
-
-    @tickformatstopdefaults.setter
-    def tickformatstopdefaults(self, val):
-        self["tickformatstopdefaults"] = val
-
-    # ticklen
-    # -------
-    @property
-    def ticklen(self):
-        """
-        Sets the tick length (in px).
-    
-        The 'ticklen' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ticklen"]
-
-    @ticklen.setter
-    def ticklen(self, val):
-        self["ticklen"] = val
-
-    # tickmode
-    # --------
-    @property
-    def tickmode(self):
-        """
-        Sets the tick mode for this axis. If "auto", the number of
-        ticks is set via `nticks`. If "linear", the placement of the
-        ticks is determined by a starting position `tick0` and a tick
-        step `dtick` ("linear" is the default value if `tick0` and
-        `dtick` are provided). If "array", the placement of the ticks
-        is set via `tickvals` and the tick text is `ticktext`. ("array"
-        is the default value if `tickvals` is provided).
-    
-        The 'tickmode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['auto', 'linear', 'array']
-
-        Returns
-        -------
-        Any
-        """
-        return self["tickmode"]
-
-    @tickmode.setter
-    def tickmode(self, val):
-        self["tickmode"] = val
-
-    # tickprefix
-    # ----------
-    @property
-    def tickprefix(self):
-        """
-        Sets a tick label prefix.
-    
-        The 'tickprefix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["tickprefix"]
-
-    @tickprefix.setter
-    def tickprefix(self, val):
-        self["tickprefix"] = val
-
-    # ticks
-    # -----
-    @property
-    def ticks(self):
-        """
-        Determines whether ticks are drawn or not. If "", this axis'
-        ticks are not drawn. If "outside" ("inside"), this axis' are
-        drawn outside (inside) the axis lines.
-    
-        The 'ticks' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['outside', 'inside', '']
-
-        Returns
-        -------
-        Any
-        """
-        return self["ticks"]
-
-    @ticks.setter
-    def ticks(self, val):
-        self["ticks"] = val
-
-    # ticksuffix
-    # ----------
-    @property
-    def ticksuffix(self):
-        """
-        Sets a tick label suffix.
-    
-        The 'ticksuffix' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["ticksuffix"]
-
-    @ticksuffix.setter
-    def ticksuffix(self, val):
-        self["ticksuffix"] = val
-
-    # ticktext
-    # --------
-    @property
-    def ticktext(self):
-        """
-        Sets the text displayed at the ticks position via `tickvals`.
-        Only has an effect if `tickmode` is set to "array". Used with
-        `tickvals`.
-    
-        The 'ticktext' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["ticktext"]
-
-    @ticktext.setter
-    def ticktext(self, val):
-        self["ticktext"] = val
-
-    # ticktextsrc
-    # -----------
-    @property
-    def ticktextsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  ticktext .
-    
-        The 'ticktextsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["ticktextsrc"]
-
-    @ticktextsrc.setter
-    def ticktextsrc(self, val):
-        self["ticktextsrc"] = val
-
-    # tickvals
-    # --------
-    @property
-    def tickvals(self):
-        """
-        Sets the values at which ticks on this axis appear. Only has an
-        effect if `tickmode` is set to "array". Used with `ticktext`.
-    
-        The 'tickvals' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["tickvals"]
-
-    @tickvals.setter
-    def tickvals(self, val):
-        self["tickvals"] = val
-
-    # tickvalssrc
-    # -----------
-    @property
-    def tickvalssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  tickvals .
-    
-        The 'tickvalssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["tickvalssrc"]
-
-    @tickvalssrc.setter
-    def tickvalssrc(self, val):
-        self["tickvalssrc"] = val
-
-    # tickwidth
-    # ---------
-    @property
-    def tickwidth(self):
-        """
-        Sets the tick width (in px).
-    
-        The 'tickwidth' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["tickwidth"]
-
-    @tickwidth.setter
-    def tickwidth(self, val):
-        self["tickwidth"] = val
-
-    # title
-    # -----
-    @property
-    def title(self):
-        """
-        The 'title' property is an instance of Title
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.colorbar.Title`
-          - A dict of string/value properties that will be passed
-            to the Title constructor
-    
-            Supported dict properties:
-                
-                font
-                    Sets this color bar's title font. Note that the
-                    title's font used to be set by the now
-                    deprecated `titlefont` attribute.
-                side
-                    Determines the location of color bar's title
-                    with respect to the color bar. Note that the
-                    title's location used to be set by the now
-                    deprecated `titleside` attribute.
-                text
-                    Sets the title of the color bar. Note that
-                    before the existence of `title.text`, the
-                    title's contents used to be defined as the
-                    `title` attribute itself. This behavior has
-                    been deprecated.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.colorbar.Title
-        """
-        return self["title"]
-
-    @title.setter
-    def title(self, val):
-        self["title"] = val
-
-    # titlefont
-    # ---------
-    @property
-    def titlefont(self):
-        """
-        Deprecated: Please use volume.colorbar.title.font instead. Sets
-        this color bar's title font. Note that the title's font used to
-        be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        
-        """
-        return self["titlefont"]
-
-    @titlefont.setter
-    def titlefont(self, val):
-        self["titlefont"] = val
-
-    # titleside
-    # ---------
-    @property
-    def titleside(self):
-        """
-        Deprecated: Please use volume.colorbar.title.side instead.
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        
-        """
-        return self["titleside"]
-
-    @titleside.setter
-    def titleside(self, val):
-        self["titleside"] = val
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        Sets the x position of the color bar (in plot fraction).
-    
-        The 'x' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # xanchor
-    # -------
-    @property
-    def xanchor(self):
-        """
-        Sets this color bar's horizontal position anchor. This anchor
-        binds the `x` position to the "left", "center" or "right" of
-        the color bar.
-    
-        The 'xanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'center', 'right']
-
-        Returns
-        -------
-        Any
-        """
-        return self["xanchor"]
-
-    @xanchor.setter
-    def xanchor(self, val):
-        self["xanchor"] = val
-
-    # xpad
-    # ----
-    @property
-    def xpad(self):
-        """
-        Sets the amount of padding (in px) along the x direction.
-    
-        The 'xpad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["xpad"]
-
-    @xpad.setter
-    def xpad(self, val):
-        self["xpad"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        Sets the y position of the color bar (in plot fraction).
-    
-        The 'y' property is a number and may be specified as:
-          - An int or float in the interval [-2, 3]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # yanchor
-    # -------
-    @property
-    def yanchor(self):
-        """
-        Sets this color bar's vertical position anchor This anchor
-        binds the `y` position to the "top", "middle" or "bottom" of
-        the color bar.
-    
-        The 'yanchor' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['top', 'middle', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["yanchor"]
-
-    @yanchor.setter
-    def yanchor(self, val):
-        self["yanchor"] = val
-
-    # ypad
-    # ----
-    @property
-    def ypad(self):
-        """
-        Sets the amount of padding (in px) along the y direction.
-    
-        The 'ypad' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["ypad"]
-
-    @ypad.setter
-    def ypad(self, val):
-        self["ypad"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.volume.colorbar
-            .Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.volume
-            .colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            volume.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.volume.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use volume.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use volume.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-        """
-
-    _mapped_properties = {
-        "titlefont": ("title", "font"),
-        "titleside": ("title", "side"),
-    }
-
-    def __init__(
-        self,
-        arg=None,
-        bgcolor=None,
-        bordercolor=None,
-        borderwidth=None,
-        dtick=None,
-        exponentformat=None,
-        len=None,
-        lenmode=None,
-        nticks=None,
-        outlinecolor=None,
-        outlinewidth=None,
-        separatethousands=None,
-        showexponent=None,
-        showticklabels=None,
-        showtickprefix=None,
-        showticksuffix=None,
-        thickness=None,
-        thicknessmode=None,
-        tick0=None,
-        tickangle=None,
-        tickcolor=None,
-        tickfont=None,
-        tickformat=None,
-        tickformatstops=None,
-        tickformatstopdefaults=None,
-        ticklen=None,
-        tickmode=None,
-        tickprefix=None,
-        ticks=None,
-        ticksuffix=None,
-        ticktext=None,
-        ticktextsrc=None,
-        tickvals=None,
-        tickvalssrc=None,
-        tickwidth=None,
-        title=None,
-        titlefont=None,
-        titleside=None,
-        x=None,
-        xanchor=None,
-        xpad=None,
-        y=None,
-        yanchor=None,
-        ypad=None,
-        **kwargs
-    ):
-        """
-        Construct a new ColorBar object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.ColorBar`
-        bgcolor
-            Sets the color of padded area.
-        bordercolor
-            Sets the axis line color.
-        borderwidth
-            Sets the width (in px) or the border enclosing this
-            color bar.
-        dtick
-            Sets the step in-between ticks on this axis. Use with
-            `tick0`. Must be a positive number, or special strings
-            available to "log" and "date" axes. If the axis `type`
-            is "log", then ticks are set every 10^(n*dtick) where n
-            is the tick number. For example, to set a tick mark at
-            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
-            at 1, 100, 10000, ... set dtick to 2. To set tick marks
-            at 1, 5, 25, 125, 625, 3125, ... set dtick to
-            log_10(5), or 0.69897000433. "log" has several special
-            values; "L<f>", where `f` is a positive number, gives
-            ticks linearly spaced in value (but not position). For
-            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
-            small digits between, use "D1" (all digits) or "D2"
-            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
-            If the axis `type` is "date", then you must convert the
-            time to milliseconds. For example, to set the interval
-            between ticks to one day, set `dtick` to 86400000.0.
-            "date" also has special values "M<n>" gives ticks
-            spaced by a number of months. `n` must be a positive
-            integer. To set ticks on the 15th of every third month,
-            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
-            ticks every 4 years, set `dtick` to "M48"
-        exponentformat
-            Determines a formatting rule for the tick exponents.
-            For example, consider the number 1,000,000,000. If
-            "none", it appears as 1,000,000,000. If "e", 1e+9. If
-            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
-            script). If "SI", 1G. If "B", 1B.
-        len
-            Sets the length of the color bar This measure excludes
-            the padding of both ends. That is, the color bar length
-            is this length minus the padding on both ends.
-        lenmode
-            Determines whether this color bar's length (i.e. the
-            measure in the color variation direction) is set in
-            units of plot "fraction" or in *pixels. Use `len` to
-            set the value.
-        nticks
-            Specifies the maximum number of ticks for the
-            particular axis. The actual number of ticks will be
-            chosen automatically to be less than or equal to
-            `nticks`. Has an effect only if `tickmode` is set to
-            "auto".
-        outlinecolor
-            Sets the axis line color.
-        outlinewidth
-            Sets the width (in px) of the axis line.
-        separatethousands
-            If "true", even 4-digit integers are separated
-        showexponent
-            If "all", all exponents are shown besides their
-            significands. If "first", only the exponent of the
-            first tick is shown. If "last", only the exponent of
-            the last tick is shown. If "none", no exponents appear.
-        showticklabels
-            Determines whether or not the tick labels are drawn.
-        showtickprefix
-            If "all", all tick labels are displayed with a prefix.
-            If "first", only the first tick is displayed with a
-            prefix. If "last", only the last tick is displayed with
-            a suffix. If "none", tick prefixes are hidden.
-        showticksuffix
-            Same as `showtickprefix` but for tick suffixes.
-        thickness
-            Sets the thickness of the color bar This measure
-            excludes the size of the padding, ticks and labels.
-        thicknessmode
-            Determines whether this color bar's thickness (i.e. the
-            measure in the constant color direction) is set in
-            units of plot "fraction" or in "pixels". Use
-            `thickness` to set the value.
-        tick0
-            Sets the placement of the first tick on this axis. Use
-            with `dtick`. If the axis `type` is "log", then you
-            must take the log of your starting tick (e.g. to set
-            the starting tick to 100, set the `tick0` to 2) except
-            when `dtick`=*L<f>* (see `dtick` for more info). If the
-            axis `type` is "date", it should be a date string, like
-            date data. If the axis `type` is "category", it should
-            be a number, using the scale where each category is
-            assigned a serial number from zero in the order it
-            appears.
-        tickangle
-            Sets the angle of the tick labels with respect to the
-            horizontal. For example, a `tickangle` of -90 draws the
-            tick labels vertically.
-        tickcolor
-            Sets the tick color.
-        tickfont
-            Sets the color bar's tick label font
-        tickformat
-            Sets the tick label formatting rule using d3 formatting
-            mini-languages which are very similar to those in
-            Python. For numbers, see:
-            https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Formatting.md#d3_format And for
-            dates see: https://github.com/d3/d3-3.x-api-
-            reference/blob/master/Time-Formatting.md#format We add
-            one item to d3's date formatter: "%{n}f" for fractional
-            seconds with n digits. For example, *2016-10-13
-            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
-            display "09~15~23.46"
-        tickformatstops
-            A tuple of :class:`plotly.graph_objects.volume.colorbar
-            .Tickformatstop` instances or dicts with compatible
-            properties
-        tickformatstopdefaults
-            When used in a template (as layout.template.data.volume
-            .colorbar.tickformatstopdefaults), sets the default
-            property values to use for elements of
-            volume.colorbar.tickformatstops
-        ticklen
-            Sets the tick length (in px).
-        tickmode
-            Sets the tick mode for this axis. If "auto", the number
-            of ticks is set via `nticks`. If "linear", the
-            placement of the ticks is determined by a starting
-            position `tick0` and a tick step `dtick` ("linear" is
-            the default value if `tick0` and `dtick` are provided).
-            If "array", the placement of the ticks is set via
-            `tickvals` and the tick text is `ticktext`. ("array" is
-            the default value if `tickvals` is provided).
-        tickprefix
-            Sets a tick label prefix.
-        ticks
-            Determines whether ticks are drawn or not. If "", this
-            axis' ticks are not drawn. If "outside" ("inside"),
-            this axis' are drawn outside (inside) the axis lines.
-        ticksuffix
-            Sets a tick label suffix.
-        ticktext
-            Sets the text displayed at the ticks position via
-            `tickvals`. Only has an effect if `tickmode` is set to
-            "array". Used with `tickvals`.
-        ticktextsrc
-            Sets the source reference on Chart Studio Cloud for
-            ticktext .
-        tickvals
-            Sets the values at which ticks on this axis appear.
-            Only has an effect if `tickmode` is set to "array".
-            Used with `ticktext`.
-        tickvalssrc
-            Sets the source reference on Chart Studio Cloud for
-            tickvals .
-        tickwidth
-            Sets the tick width (in px).
-        title
-            :class:`plotly.graph_objects.volume.colorbar.Title`
-            instance or dict with compatible properties
-        titlefont
-            Deprecated: Please use volume.colorbar.title.font
-            instead. Sets this color bar's title font. Note that
-            the title's font used to be set by the now deprecated
-            `titlefont` attribute.
-        titleside
-            Deprecated: Please use volume.colorbar.title.side
-            instead. Determines the location of color bar's title
-            with respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        x
-            Sets the x position of the color bar (in plot
-            fraction).
-        xanchor
-            Sets this color bar's horizontal position anchor. This
-            anchor binds the `x` position to the "left", "center"
-            or "right" of the color bar.
-        xpad
-            Sets the amount of padding (in px) along the x
-            direction.
-        y
-            Sets the y position of the color bar (in plot
-            fraction).
-        yanchor
-            Sets this color bar's vertical position anchor This
-            anchor binds the `y` position to the "top", "middle" or
-            "bottom" of the color bar.
-        ypad
-            Sets the amount of padding (in px) along the y
-            direction.
-
-        Returns
-        -------
-        ColorBar
-        """
-        super(ColorBar, self).__init__("colorbar")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.ColorBar 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.ColorBar`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import colorbar as v_colorbar
-
-        # Initialize validators
-        # ---------------------
-        self._validators["bgcolor"] = v_colorbar.BgcolorValidator()
-        self._validators["bordercolor"] = v_colorbar.BordercolorValidator()
-        self._validators["borderwidth"] = v_colorbar.BorderwidthValidator()
-        self._validators["dtick"] = v_colorbar.DtickValidator()
-        self._validators["exponentformat"] = v_colorbar.ExponentformatValidator()
-        self._validators["len"] = v_colorbar.LenValidator()
-        self._validators["lenmode"] = v_colorbar.LenmodeValidator()
-        self._validators["nticks"] = v_colorbar.NticksValidator()
-        self._validators["outlinecolor"] = v_colorbar.OutlinecolorValidator()
-        self._validators["outlinewidth"] = v_colorbar.OutlinewidthValidator()
-        self._validators["separatethousands"] = v_colorbar.SeparatethousandsValidator()
-        self._validators["showexponent"] = v_colorbar.ShowexponentValidator()
-        self._validators["showticklabels"] = v_colorbar.ShowticklabelsValidator()
-        self._validators["showtickprefix"] = v_colorbar.ShowtickprefixValidator()
-        self._validators["showticksuffix"] = v_colorbar.ShowticksuffixValidator()
-        self._validators["thickness"] = v_colorbar.ThicknessValidator()
-        self._validators["thicknessmode"] = v_colorbar.ThicknessmodeValidator()
-        self._validators["tick0"] = v_colorbar.Tick0Validator()
-        self._validators["tickangle"] = v_colorbar.TickangleValidator()
-        self._validators["tickcolor"] = v_colorbar.TickcolorValidator()
-        self._validators["tickfont"] = v_colorbar.TickfontValidator()
-        self._validators["tickformat"] = v_colorbar.TickformatValidator()
-        self._validators["tickformatstops"] = v_colorbar.TickformatstopsValidator()
-        self._validators[
-            "tickformatstopdefaults"
-        ] = v_colorbar.TickformatstopValidator()
-        self._validators["ticklen"] = v_colorbar.TicklenValidator()
-        self._validators["tickmode"] = v_colorbar.TickmodeValidator()
-        self._validators["tickprefix"] = v_colorbar.TickprefixValidator()
-        self._validators["ticks"] = v_colorbar.TicksValidator()
-        self._validators["ticksuffix"] = v_colorbar.TicksuffixValidator()
-        self._validators["ticktext"] = v_colorbar.TicktextValidator()
-        self._validators["ticktextsrc"] = v_colorbar.TicktextsrcValidator()
-        self._validators["tickvals"] = v_colorbar.TickvalsValidator()
-        self._validators["tickvalssrc"] = v_colorbar.TickvalssrcValidator()
-        self._validators["tickwidth"] = v_colorbar.TickwidthValidator()
-        self._validators["title"] = v_colorbar.TitleValidator()
-        self._validators["x"] = v_colorbar.XValidator()
-        self._validators["xanchor"] = v_colorbar.XanchorValidator()
-        self._validators["xpad"] = v_colorbar.XpadValidator()
-        self._validators["y"] = v_colorbar.YValidator()
-        self._validators["yanchor"] = v_colorbar.YanchorValidator()
-        self._validators["ypad"] = v_colorbar.YpadValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("borderwidth", None)
-        self["borderwidth"] = borderwidth if borderwidth is not None else _v
-        _v = arg.pop("dtick", None)
-        self["dtick"] = dtick if dtick is not None else _v
-        _v = arg.pop("exponentformat", None)
-        self["exponentformat"] = exponentformat if exponentformat is not None else _v
-        _v = arg.pop("len", None)
-        self["len"] = len if len is not None else _v
-        _v = arg.pop("lenmode", None)
-        self["lenmode"] = lenmode if lenmode is not None else _v
-        _v = arg.pop("nticks", None)
-        self["nticks"] = nticks if nticks is not None else _v
-        _v = arg.pop("outlinecolor", None)
-        self["outlinecolor"] = outlinecolor if outlinecolor is not None else _v
-        _v = arg.pop("outlinewidth", None)
-        self["outlinewidth"] = outlinewidth if outlinewidth is not None else _v
-        _v = arg.pop("separatethousands", None)
-        self["separatethousands"] = (
-            separatethousands if separatethousands is not None else _v
-        )
-        _v = arg.pop("showexponent", None)
-        self["showexponent"] = showexponent if showexponent is not None else _v
-        _v = arg.pop("showticklabels", None)
-        self["showticklabels"] = showticklabels if showticklabels is not None else _v
-        _v = arg.pop("showtickprefix", None)
-        self["showtickprefix"] = showtickprefix if showtickprefix is not None else _v
-        _v = arg.pop("showticksuffix", None)
-        self["showticksuffix"] = showticksuffix if showticksuffix is not None else _v
-        _v = arg.pop("thickness", None)
-        self["thickness"] = thickness if thickness is not None else _v
-        _v = arg.pop("thicknessmode", None)
-        self["thicknessmode"] = thicknessmode if thicknessmode is not None else _v
-        _v = arg.pop("tick0", None)
-        self["tick0"] = tick0 if tick0 is not None else _v
-        _v = arg.pop("tickangle", None)
-        self["tickangle"] = tickangle if tickangle is not None else _v
-        _v = arg.pop("tickcolor", None)
-        self["tickcolor"] = tickcolor if tickcolor is not None else _v
-        _v = arg.pop("tickfont", None)
-        self["tickfont"] = tickfont if tickfont is not None else _v
-        _v = arg.pop("tickformat", None)
-        self["tickformat"] = tickformat if tickformat is not None else _v
-        _v = arg.pop("tickformatstops", None)
-        self["tickformatstops"] = tickformatstops if tickformatstops is not None else _v
-        _v = arg.pop("tickformatstopdefaults", None)
-        self["tickformatstopdefaults"] = (
-            tickformatstopdefaults if tickformatstopdefaults is not None else _v
-        )
-        _v = arg.pop("ticklen", None)
-        self["ticklen"] = ticklen if ticklen is not None else _v
-        _v = arg.pop("tickmode", None)
-        self["tickmode"] = tickmode if tickmode is not None else _v
-        _v = arg.pop("tickprefix", None)
-        self["tickprefix"] = tickprefix if tickprefix is not None else _v
-        _v = arg.pop("ticks", None)
-        self["ticks"] = ticks if ticks is not None else _v
-        _v = arg.pop("ticksuffix", None)
-        self["ticksuffix"] = ticksuffix if ticksuffix is not None else _v
-        _v = arg.pop("ticktext", None)
-        self["ticktext"] = ticktext if ticktext is not None else _v
-        _v = arg.pop("ticktextsrc", None)
-        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
-        _v = arg.pop("tickvals", None)
-        self["tickvals"] = tickvals if tickvals is not None else _v
-        _v = arg.pop("tickvalssrc", None)
-        self["tickvalssrc"] = tickvalssrc if tickvalssrc is not None else _v
-        _v = arg.pop("tickwidth", None)
-        self["tickwidth"] = tickwidth if tickwidth is not None else _v
-        _v = arg.pop("title", None)
-        self["title"] = title if title is not None else _v
-        _v = arg.pop("titlefont", None)
-        _v = titlefont if titlefont is not None else _v
-        if _v is not None:
-            self["titlefont"] = _v
-        _v = arg.pop("titleside", None)
-        _v = titleside if titleside is not None else _v
-        if _v is not None:
-            self["titleside"] = _v
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("xanchor", None)
-        self["xanchor"] = xanchor if xanchor is not None else _v
-        _v = arg.pop("xpad", None)
-        self["xpad"] = xpad if xpad is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("yanchor", None)
-        self["yanchor"] = yanchor if yanchor is not None else _v
-        _v = arg.pop("ypad", None)
-        self["ypad"] = ypad if ypad is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Caps(_BaseTraceHierarchyType):
-
-    # x
-    # -
-    @property
-    def x(self):
-        """
-        The 'x' property is an instance of X
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.caps.X`
-          - A dict of string/value properties that will be passed
-            to the X constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `caps`. The default
-                    fill value of the `caps` is 1 meaning that they
-                    are entirely shaded. On the other hand Applying
-                    a `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the x `slices` is 1
-                    meaning that they are entirely shaded. On the
-                    other hand Applying a `fill` ratio less than
-                    one would allow the creation of openings
-                    parallel to the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.caps.X
-        """
-        return self["x"]
-
-    @x.setter
-    def x(self, val):
-        self["x"] = val
-
-    # y
-    # -
-    @property
-    def y(self):
-        """
-        The 'y' property is an instance of Y
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.caps.Y`
-          - A dict of string/value properties that will be passed
-            to the Y constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `caps`. The default
-                    fill value of the `caps` is 1 meaning that they
-                    are entirely shaded. On the other hand Applying
-                    a `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the y `slices` is 1
-                    meaning that they are entirely shaded. On the
-                    other hand Applying a `fill` ratio less than
-                    one would allow the creation of openings
-                    parallel to the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.caps.Y
-        """
-        return self["y"]
-
-    @y.setter
-    def y(self, val):
-        self["y"] = val
-
-    # z
-    # -
-    @property
-    def z(self):
-        """
-        The 'z' property is an instance of Z
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.caps.Z`
-          - A dict of string/value properties that will be passed
-            to the Z constructor
-    
-            Supported dict properties:
-                
-                fill
-                    Sets the fill ratio of the `caps`. The default
-                    fill value of the `caps` is 1 meaning that they
-                    are entirely shaded. On the other hand Applying
-                    a `fill` ratio less than one would allow the
-                    creation of openings parallel to the edges.
-                show
-                    Sets the fill ratio of the `slices`. The
-                    default fill value of the z `slices` is 1
-                    meaning that they are entirely shaded. On the
-                    other hand Applying a `fill` ratio less than
-                    one would allow the creation of openings
-                    parallel to the edges.
-
-        Returns
-        -------
-        plotly.graph_objs.volume.caps.Z
-        """
-        return self["z"]
-
-    @z.setter
-    def z(self, val):
-        self["z"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        x
-            :class:`plotly.graph_objects.volume.caps.X` instance or
-            dict with compatible properties
-        y
-            :class:`plotly.graph_objects.volume.caps.Y` instance or
-            dict with compatible properties
-        z
-            :class:`plotly.graph_objects.volume.caps.Z` instance or
-            dict with compatible properties
-        """
-
-    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
-        """
-        Construct a new Caps object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.Caps`
-        x
-            :class:`plotly.graph_objects.volume.caps.X` instance or
-            dict with compatible properties
-        y
-            :class:`plotly.graph_objects.volume.caps.Y` instance or
-            dict with compatible properties
-        z
-            :class:`plotly.graph_objects.volume.caps.Z` instance or
-            dict with compatible properties
-
-        Returns
-        -------
-        Caps
-        """
-        super(Caps, self).__init__("caps")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.Caps 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.Caps`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume import caps as v_caps
-
-        # Initialize validators
-        # ---------------------
-        self._validators["x"] = v_caps.XValidator()
-        self._validators["y"] = v_caps.YValidator()
-        self._validators["z"] = v_caps.ZValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("x", None)
-        self["x"] = x if x is not None else _v
-        _v = arg.pop("y", None)
-        self["y"] = y if y is not None else _v
-        _v = arg.pop("z", None)
-        self["z"] = z if z is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Caps",
-    "ColorBar",
-    "Contour",
-    "Hoverlabel",
-    "Lighting",
-    "Lightposition",
-    "Slices",
-    "Spaceframe",
-    "Stream",
-    "Surface",
-    "caps",
-    "colorbar",
-    "hoverlabel",
-    "slices",
-]
-
-from plotly.graph_objs.volume import slices
-from plotly.graph_objs.volume import hoverlabel
-from plotly.graph_objs.volume import colorbar
-from plotly.graph_objs.volume import caps
+import sys
+
+if sys.version_info < (3, 7):
+    from ._surface import Surface
+    from ._stream import Stream
+    from ._spaceframe import Spaceframe
+    from ._slices import Slices
+    from ._lightposition import Lightposition
+    from ._lighting import Lighting
+    from ._hoverlabel import Hoverlabel
+    from ._contour import Contour
+    from ._colorbar import ColorBar
+    from ._caps import Caps
+    from . import slices
+    from . import hoverlabel
+    from . import colorbar
+    from . import caps
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".slices", ".hoverlabel", ".colorbar", ".caps"],
+        [
+            "._surface.Surface",
+            "._stream.Stream",
+            "._spaceframe.Spaceframe",
+            "._slices.Slices",
+            "._lightposition.Lightposition",
+            "._lighting.Lighting",
+            "._hoverlabel.Hoverlabel",
+            "._contour.Contour",
+            "._colorbar.ColorBar",
+            "._caps.Caps",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_caps.py b/packages/python/plotly/plotly/graph_objs/volume/_caps.py
new file mode 100644
index 00000000000..e1c286e94d8
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_caps.py
@@ -0,0 +1,210 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Caps(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.caps"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is an instance of X
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.caps.X`
+          - A dict of string/value properties that will be passed
+            to the X constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `caps`. The default
+                    fill value of the `caps` is 1 meaning that they
+                    are entirely shaded. On the other hand Applying
+                    a `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the x `slices` is 1
+                    meaning that they are entirely shaded. On the
+                    other hand Applying a `fill` ratio less than
+                    one would allow the creation of openings
+                    parallel to the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.caps.X
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is an instance of Y
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.caps.Y`
+          - A dict of string/value properties that will be passed
+            to the Y constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `caps`. The default
+                    fill value of the `caps` is 1 meaning that they
+                    are entirely shaded. On the other hand Applying
+                    a `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the y `slices` is 1
+                    meaning that they are entirely shaded. On the
+                    other hand Applying a `fill` ratio less than
+                    one would allow the creation of openings
+                    parallel to the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.caps.Y
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is an instance of Z
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.caps.Z`
+          - A dict of string/value properties that will be passed
+            to the Z constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `caps`. The default
+                    fill value of the `caps` is 1 meaning that they
+                    are entirely shaded. On the other hand Applying
+                    a `fill` ratio less than one would allow the
+                    creation of openings parallel to the edges.
+                show
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the z `slices` is 1
+                    meaning that they are entirely shaded. On the
+                    other hand Applying a `fill` ratio less than
+                    one would allow the creation of openings
+                    parallel to the edges.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.caps.Z
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            :class:`plotly.graph_objects.volume.caps.X` instance or
+            dict with compatible properties
+        y
+            :class:`plotly.graph_objects.volume.caps.Y` instance or
+            dict with compatible properties
+        z
+            :class:`plotly.graph_objects.volume.caps.Z` instance or
+            dict with compatible properties
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Caps object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.Caps`
+        x
+            :class:`plotly.graph_objects.volume.caps.X` instance or
+            dict with compatible properties
+        y
+            :class:`plotly.graph_objects.volume.caps.Y` instance or
+            dict with compatible properties
+        z
+            :class:`plotly.graph_objects.volume.caps.Z` instance or
+            dict with compatible properties
+
+        Returns
+        -------
+        Caps
+        """
+        super(Caps, self).__init__("caps")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Caps 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Caps`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_colorbar.py b/packages/python/plotly/plotly/graph_objs/volume/_colorbar.py
new file mode 100644
index 00000000000..81545deeab4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_colorbar.py
@@ -0,0 +1,1940 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class ColorBar(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.colorbar"
+    _valid_props = {
+        "bgcolor",
+        "bordercolor",
+        "borderwidth",
+        "dtick",
+        "exponentformat",
+        "len",
+        "lenmode",
+        "nticks",
+        "outlinecolor",
+        "outlinewidth",
+        "separatethousands",
+        "showexponent",
+        "showticklabels",
+        "showtickprefix",
+        "showticksuffix",
+        "thickness",
+        "thicknessmode",
+        "tick0",
+        "tickangle",
+        "tickcolor",
+        "tickfont",
+        "tickformat",
+        "tickformatstopdefaults",
+        "tickformatstops",
+        "ticklen",
+        "tickmode",
+        "tickprefix",
+        "ticks",
+        "ticksuffix",
+        "ticktext",
+        "ticktextsrc",
+        "tickvals",
+        "tickvalssrc",
+        "tickwidth",
+        "title",
+        "titlefont",
+        "titleside",
+        "x",
+        "xanchor",
+        "xpad",
+        "y",
+        "yanchor",
+        "ypad",
+    }
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the color of padded area.
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # borderwidth
+    # -----------
+    @property
+    def borderwidth(self):
+        """
+        Sets the width (in px) or the border enclosing this color bar.
+    
+        The 'borderwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["borderwidth"]
+
+    @borderwidth.setter
+    def borderwidth(self, val):
+        self["borderwidth"] = val
+
+    # dtick
+    # -----
+    @property
+    def dtick(self):
+        """
+        Sets the step in-between ticks on this axis. Use with `tick0`.
+        Must be a positive number, or special strings available to
+        "log" and "date" axes. If the axis `type` is "log", then ticks
+        are set every 10^(n*dtick) where n is the tick number. For
+        example, to set a tick mark at 1, 10, 100, 1000, ... set dtick
+        to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2.
+        To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to
+        log_10(5), or 0.69897000433. "log" has several special values;
+        "L<f>", where `f` is a positive number, gives ticks linearly
+        spaced in value (but not position). For example `tick0` = 0.1,
+        `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To
+        show powers of 10 plus small digits between, use "D1" (all
+        digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and
+        "D2". If the axis `type` is "date", then you must convert the
+        time to milliseconds. For example, to set the interval between
+        ticks to one day, set `dtick` to 86400000.0. "date" also has
+        special values "M<n>" gives ticks spaced by a number of months.
+        `n` must be a positive integer. To set ticks on the 15th of
+        every third month, set `tick0` to "2000-01-15" and `dtick` to
+        "M3". To set ticks every 4 years, set `dtick` to "M48"
+    
+        The 'dtick' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["dtick"]
+
+    @dtick.setter
+    def dtick(self, val):
+        self["dtick"] = val
+
+    # exponentformat
+    # --------------
+    @property
+    def exponentformat(self):
+        """
+        Determines a formatting rule for the tick exponents. For
+        example, consider the number 1,000,000,000. If "none", it
+        appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+        "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
+        "B", 1B.
+    
+        The 'exponentformat' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['none', 'e', 'E', 'power', 'SI', 'B']
+
+        Returns
+        -------
+        Any
+        """
+        return self["exponentformat"]
+
+    @exponentformat.setter
+    def exponentformat(self, val):
+        self["exponentformat"] = val
+
+    # len
+    # ---
+    @property
+    def len(self):
+        """
+        Sets the length of the color bar This measure excludes the
+        padding of both ends. That is, the color bar length is this
+        length minus the padding on both ends.
+    
+        The 'len' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["len"]
+
+    @len.setter
+    def len(self, val):
+        self["len"] = val
+
+    # lenmode
+    # -------
+    @property
+    def lenmode(self):
+        """
+        Determines whether this color bar's length (i.e. the measure in
+        the color variation direction) is set in units of plot
+        "fraction" or in *pixels. Use `len` to set the value.
+    
+        The 'lenmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["lenmode"]
+
+    @lenmode.setter
+    def lenmode(self, val):
+        self["lenmode"] = val
+
+    # nticks
+    # ------
+    @property
+    def nticks(self):
+        """
+        Specifies the maximum number of ticks for the particular axis.
+        The actual number of ticks will be chosen automatically to be
+        less than or equal to `nticks`. Has an effect only if
+        `tickmode` is set to "auto".
+    
+        The 'nticks' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [0, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["nticks"]
+
+    @nticks.setter
+    def nticks(self, val):
+        self["nticks"] = val
+
+    # outlinecolor
+    # ------------
+    @property
+    def outlinecolor(self):
+        """
+        Sets the axis line color.
+    
+        The 'outlinecolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["outlinecolor"]
+
+    @outlinecolor.setter
+    def outlinecolor(self, val):
+        self["outlinecolor"] = val
+
+    # outlinewidth
+    # ------------
+    @property
+    def outlinewidth(self):
+        """
+        Sets the width (in px) of the axis line.
+    
+        The 'outlinewidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["outlinewidth"]
+
+    @outlinewidth.setter
+    def outlinewidth(self, val):
+        self["outlinewidth"] = val
+
+    # separatethousands
+    # -----------------
+    @property
+    def separatethousands(self):
+        """
+        If "true", even 4-digit integers are separated
+    
+        The 'separatethousands' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["separatethousands"]
+
+    @separatethousands.setter
+    def separatethousands(self, val):
+        self["separatethousands"] = val
+
+    # showexponent
+    # ------------
+    @property
+    def showexponent(self):
+        """
+        If "all", all exponents are shown besides their significands.
+        If "first", only the exponent of the first tick is shown. If
+        "last", only the exponent of the last tick is shown. If "none",
+        no exponents appear.
+    
+        The 'showexponent' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showexponent"]
+
+    @showexponent.setter
+    def showexponent(self, val):
+        self["showexponent"] = val
+
+    # showticklabels
+    # --------------
+    @property
+    def showticklabels(self):
+        """
+        Determines whether or not the tick labels are drawn.
+    
+        The 'showticklabels' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["showticklabels"]
+
+    @showticklabels.setter
+    def showticklabels(self, val):
+        self["showticklabels"] = val
+
+    # showtickprefix
+    # --------------
+    @property
+    def showtickprefix(self):
+        """
+        If "all", all tick labels are displayed with a prefix. If
+        "first", only the first tick is displayed with a prefix. If
+        "last", only the last tick is displayed with a suffix. If
+        "none", tick prefixes are hidden.
+    
+        The 'showtickprefix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showtickprefix"]
+
+    @showtickprefix.setter
+    def showtickprefix(self, val):
+        self["showtickprefix"] = val
+
+    # showticksuffix
+    # --------------
+    @property
+    def showticksuffix(self):
+        """
+        Same as `showtickprefix` but for tick suffixes.
+    
+        The 'showticksuffix' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['all', 'first', 'last', 'none']
+
+        Returns
+        -------
+        Any
+        """
+        return self["showticksuffix"]
+
+    @showticksuffix.setter
+    def showticksuffix(self, val):
+        self["showticksuffix"] = val
+
+    # thickness
+    # ---------
+    @property
+    def thickness(self):
+        """
+        Sets the thickness of the color bar This measure excludes the
+        size of the padding, ticks and labels.
+    
+        The 'thickness' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["thickness"]
+
+    @thickness.setter
+    def thickness(self, val):
+        self["thickness"] = val
+
+    # thicknessmode
+    # -------------
+    @property
+    def thicknessmode(self):
+        """
+        Determines whether this color bar's thickness (i.e. the measure
+        in the constant color direction) is set in units of plot
+        "fraction" or in "pixels". Use `thickness` to set the value.
+    
+        The 'thicknessmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['fraction', 'pixels']
+
+        Returns
+        -------
+        Any
+        """
+        return self["thicknessmode"]
+
+    @thicknessmode.setter
+    def thicknessmode(self, val):
+        self["thicknessmode"] = val
+
+    # tick0
+    # -----
+    @property
+    def tick0(self):
+        """
+        Sets the placement of the first tick on this axis. Use with
+        `dtick`. If the axis `type` is "log", then you must take the
+        log of your starting tick (e.g. to set the starting tick to
+        100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
+        `dtick` for more info). If the axis `type` is "date", it should
+        be a date string, like date data. If the axis `type` is
+        "category", it should be a number, using the scale where each
+        category is assigned a serial number from zero in the order it
+        appears.
+    
+        The 'tick0' property accepts values of any type
+
+        Returns
+        -------
+        Any
+        """
+        return self["tick0"]
+
+    @tick0.setter
+    def tick0(self, val):
+        self["tick0"] = val
+
+    # tickangle
+    # ---------
+    @property
+    def tickangle(self):
+        """
+        Sets the angle of the tick labels with respect to the
+        horizontal. For example, a `tickangle` of -90 draws the tick
+        labels vertically.
+    
+        The 'tickangle' property is a angle (in degrees) that may be
+        specified as a number between -180 and 180. Numeric values outside this
+        range are converted to the equivalent value
+        (e.g. 270 is converted to -90).
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickangle"]
+
+    @tickangle.setter
+    def tickangle(self, val):
+        self["tickangle"] = val
+
+    # tickcolor
+    # ---------
+    @property
+    def tickcolor(self):
+        """
+        Sets the tick color.
+    
+        The 'tickcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["tickcolor"]
+
+    @tickcolor.setter
+    def tickcolor(self, val):
+        self["tickcolor"] = val
+
+    # tickfont
+    # --------
+    @property
+    def tickfont(self):
+        """
+        Sets the color bar's tick label font
+    
+        The 'tickfont' property is an instance of Tickfont
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.colorbar.Tickfont`
+          - A dict of string/value properties that will be passed
+            to the Tickfont constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.volume.colorbar.Tickfont
+        """
+        return self["tickfont"]
+
+    @tickfont.setter
+    def tickfont(self, val):
+        self["tickfont"] = val
+
+    # tickformat
+    # ----------
+    @property
+    def tickformat(self):
+        """
+        Sets the tick label formatting rule using d3 formatting mini-
+        languages which are very similar to those in Python. For
+        numbers, see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Formatting.md#d3_format And for dates
+        see: https://github.com/d3/d3-3.x-api-
+        reference/blob/master/Time-Formatting.md#format We add one item
+        to d3's date formatter: "%{n}f" for fractional seconds with n
+        digits. For example, *2016-10-13 09:15:23.456* with tickformat
+        "%H~%M~%S.%2f" would display "09~15~23.46"
+    
+        The 'tickformat' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickformat"]
+
+    @tickformat.setter
+    def tickformat(self, val):
+        self["tickformat"] = val
+
+    # tickformatstops
+    # ---------------
+    @property
+    def tickformatstops(self):
+        """
+        The 'tickformatstops' property is a tuple of instances of
+        Tickformatstop that may be specified as:
+          - A list or tuple of instances of plotly.graph_objs.volume.colorbar.Tickformatstop
+          - A list or tuple of dicts of string/value properties that
+            will be passed to the Tickformatstop constructor
+    
+            Supported dict properties:
+                
+                dtickrange
+                    range [*min*, *max*], where "min", "max" -
+                    dtick values which describe some zoom level, it
+                    is possible to omit "min" or "max" value by
+                    passing "null"
+                enabled
+                    Determines whether or not this stop is used. If
+                    `false`, this stop is ignored even within its
+                    `dtickrange`.
+                name
+                    When used in a template, named items are
+                    created in the output figure in addition to any
+                    items the figure already has in this array. You
+                    can modify these items in the output figure by
+                    making your own item with `templateitemname`
+                    matching this `name` alongside your
+                    modifications (including `visible: false` or
+                    `enabled: false` to hide it). Has no effect
+                    outside of a template.
+                templateitemname
+                    Used to refer to a named item in this array in
+                    the template. Named items from the template
+                    will be created even without a matching item in
+                    the input figure, but you can modify one by
+                    making an item with `templateitemname` matching
+                    its `name`, alongside your modifications
+                    (including `visible: false` or `enabled: false`
+                    to hide it). If there is no template or no
+                    matching item, this item will be hidden unless
+                    you explicitly show it with `visible: true`.
+                value
+                    string - dtickformat for described zoom level,
+                    the same as "tickformat"
+
+        Returns
+        -------
+        tuple[plotly.graph_objs.volume.colorbar.Tickformatstop]
+        """
+        return self["tickformatstops"]
+
+    @tickformatstops.setter
+    def tickformatstops(self, val):
+        self["tickformatstops"] = val
+
+    # tickformatstopdefaults
+    # ----------------------
+    @property
+    def tickformatstopdefaults(self):
+        """
+        When used in a template (as
+        layout.template.data.volume.colorbar.tickformatstopdefaults),
+        sets the default property values to use for elements of
+        volume.colorbar.tickformatstops
+    
+        The 'tickformatstopdefaults' property is an instance of Tickformatstop
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.colorbar.Tickformatstop`
+          - A dict of string/value properties that will be passed
+            to the Tickformatstop constructor
+    
+            Supported dict properties:
+
+        Returns
+        -------
+        plotly.graph_objs.volume.colorbar.Tickformatstop
+        """
+        return self["tickformatstopdefaults"]
+
+    @tickformatstopdefaults.setter
+    def tickformatstopdefaults(self, val):
+        self["tickformatstopdefaults"] = val
+
+    # ticklen
+    # -------
+    @property
+    def ticklen(self):
+        """
+        Sets the tick length (in px).
+    
+        The 'ticklen' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ticklen"]
+
+    @ticklen.setter
+    def ticklen(self, val):
+        self["ticklen"] = val
+
+    # tickmode
+    # --------
+    @property
+    def tickmode(self):
+        """
+        Sets the tick mode for this axis. If "auto", the number of
+        ticks is set via `nticks`. If "linear", the placement of the
+        ticks is determined by a starting position `tick0` and a tick
+        step `dtick` ("linear" is the default value if `tick0` and
+        `dtick` are provided). If "array", the placement of the ticks
+        is set via `tickvals` and the tick text is `ticktext`. ("array"
+        is the default value if `tickvals` is provided).
+    
+        The 'tickmode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['auto', 'linear', 'array']
+
+        Returns
+        -------
+        Any
+        """
+        return self["tickmode"]
+
+    @tickmode.setter
+    def tickmode(self, val):
+        self["tickmode"] = val
+
+    # tickprefix
+    # ----------
+    @property
+    def tickprefix(self):
+        """
+        Sets a tick label prefix.
+    
+        The 'tickprefix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["tickprefix"]
+
+    @tickprefix.setter
+    def tickprefix(self, val):
+        self["tickprefix"] = val
+
+    # ticks
+    # -----
+    @property
+    def ticks(self):
+        """
+        Determines whether ticks are drawn or not. If "", this axis'
+        ticks are not drawn. If "outside" ("inside"), this axis' are
+        drawn outside (inside) the axis lines.
+    
+        The 'ticks' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['outside', 'inside', '']
+
+        Returns
+        -------
+        Any
+        """
+        return self["ticks"]
+
+    @ticks.setter
+    def ticks(self, val):
+        self["ticks"] = val
+
+    # ticksuffix
+    # ----------
+    @property
+    def ticksuffix(self):
+        """
+        Sets a tick label suffix.
+    
+        The 'ticksuffix' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["ticksuffix"]
+
+    @ticksuffix.setter
+    def ticksuffix(self, val):
+        self["ticksuffix"] = val
+
+    # ticktext
+    # --------
+    @property
+    def ticktext(self):
+        """
+        Sets the text displayed at the ticks position via `tickvals`.
+        Only has an effect if `tickmode` is set to "array". Used with
+        `tickvals`.
+    
+        The 'ticktext' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["ticktext"]
+
+    @ticktext.setter
+    def ticktext(self, val):
+        self["ticktext"] = val
+
+    # ticktextsrc
+    # -----------
+    @property
+    def ticktextsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  ticktext .
+    
+        The 'ticktextsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["ticktextsrc"]
+
+    @ticktextsrc.setter
+    def ticktextsrc(self, val):
+        self["ticktextsrc"] = val
+
+    # tickvals
+    # --------
+    @property
+    def tickvals(self):
+        """
+        Sets the values at which ticks on this axis appear. Only has an
+        effect if `tickmode` is set to "array". Used with `ticktext`.
+    
+        The 'tickvals' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["tickvals"]
+
+    @tickvals.setter
+    def tickvals(self, val):
+        self["tickvals"] = val
+
+    # tickvalssrc
+    # -----------
+    @property
+    def tickvalssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  tickvals .
+    
+        The 'tickvalssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["tickvalssrc"]
+
+    @tickvalssrc.setter
+    def tickvalssrc(self, val):
+        self["tickvalssrc"] = val
+
+    # tickwidth
+    # ---------
+    @property
+    def tickwidth(self):
+        """
+        Sets the tick width (in px).
+    
+        The 'tickwidth' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["tickwidth"]
+
+    @tickwidth.setter
+    def tickwidth(self, val):
+        self["tickwidth"] = val
+
+    # title
+    # -----
+    @property
+    def title(self):
+        """
+        The 'title' property is an instance of Title
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.colorbar.Title`
+          - A dict of string/value properties that will be passed
+            to the Title constructor
+    
+            Supported dict properties:
+                
+                font
+                    Sets this color bar's title font. Note that the
+                    title's font used to be set by the now
+                    deprecated `titlefont` attribute.
+                side
+                    Determines the location of color bar's title
+                    with respect to the color bar. Note that the
+                    title's location used to be set by the now
+                    deprecated `titleside` attribute.
+                text
+                    Sets the title of the color bar. Note that
+                    before the existence of `title.text`, the
+                    title's contents used to be defined as the
+                    `title` attribute itself. This behavior has
+                    been deprecated.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.colorbar.Title
+        """
+        return self["title"]
+
+    @title.setter
+    def title(self, val):
+        self["title"] = val
+
+    # titlefont
+    # ---------
+    @property
+    def titlefont(self):
+        """
+        Deprecated: Please use volume.colorbar.title.font instead. Sets
+        this color bar's title font. Note that the title's font used to
+        be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        
+        """
+        return self["titlefont"]
+
+    @titlefont.setter
+    def titlefont(self, val):
+        self["titlefont"] = val
+
+    # titleside
+    # ---------
+    @property
+    def titleside(self):
+        """
+        Deprecated: Please use volume.colorbar.title.side instead.
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        
+        """
+        return self["titleside"]
+
+    @titleside.setter
+    def titleside(self, val):
+        self["titleside"] = val
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Sets the x position of the color bar (in plot fraction).
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # xanchor
+    # -------
+    @property
+    def xanchor(self):
+        """
+        Sets this color bar's horizontal position anchor. This anchor
+        binds the `x` position to the "left", "center" or "right" of
+        the color bar.
+    
+        The 'xanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'center', 'right']
+
+        Returns
+        -------
+        Any
+        """
+        return self["xanchor"]
+
+    @xanchor.setter
+    def xanchor(self, val):
+        self["xanchor"] = val
+
+    # xpad
+    # ----
+    @property
+    def xpad(self):
+        """
+        Sets the amount of padding (in px) along the x direction.
+    
+        The 'xpad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["xpad"]
+
+    @xpad.setter
+    def xpad(self, val):
+        self["xpad"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Sets the y position of the color bar (in plot fraction).
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-2, 3]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # yanchor
+    # -------
+    @property
+    def yanchor(self):
+        """
+        Sets this color bar's vertical position anchor This anchor
+        binds the `y` position to the "top", "middle" or "bottom" of
+        the color bar.
+    
+        The 'yanchor' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['top', 'middle', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["yanchor"]
+
+    @yanchor.setter
+    def yanchor(self, val):
+        self["yanchor"] = val
+
+    # ypad
+    # ----
+    @property
+    def ypad(self):
+        """
+        Sets the amount of padding (in px) along the y direction.
+    
+        The 'ypad' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ypad"]
+
+    @ypad.setter
+    def ypad(self, val):
+        self["ypad"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.volume.colorbar
+            .Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.volume
+            .colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            volume.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.volume.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use volume.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use volume.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+        """
+
+    _mapped_properties = {
+        "titlefont": ("title", "font"),
+        "titleside": ("title", "side"),
+    }
+
+    def __init__(
+        self,
+        arg=None,
+        bgcolor=None,
+        bordercolor=None,
+        borderwidth=None,
+        dtick=None,
+        exponentformat=None,
+        len=None,
+        lenmode=None,
+        nticks=None,
+        outlinecolor=None,
+        outlinewidth=None,
+        separatethousands=None,
+        showexponent=None,
+        showticklabels=None,
+        showtickprefix=None,
+        showticksuffix=None,
+        thickness=None,
+        thicknessmode=None,
+        tick0=None,
+        tickangle=None,
+        tickcolor=None,
+        tickfont=None,
+        tickformat=None,
+        tickformatstops=None,
+        tickformatstopdefaults=None,
+        ticklen=None,
+        tickmode=None,
+        tickprefix=None,
+        ticks=None,
+        ticksuffix=None,
+        ticktext=None,
+        ticktextsrc=None,
+        tickvals=None,
+        tickvalssrc=None,
+        tickwidth=None,
+        title=None,
+        titlefont=None,
+        titleside=None,
+        x=None,
+        xanchor=None,
+        xpad=None,
+        y=None,
+        yanchor=None,
+        ypad=None,
+        **kwargs
+    ):
+        """
+        Construct a new ColorBar object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.ColorBar`
+        bgcolor
+            Sets the color of padded area.
+        bordercolor
+            Sets the axis line color.
+        borderwidth
+            Sets the width (in px) or the border enclosing this
+            color bar.
+        dtick
+            Sets the step in-between ticks on this axis. Use with
+            `tick0`. Must be a positive number, or special strings
+            available to "log" and "date" axes. If the axis `type`
+            is "log", then ticks are set every 10^(n*dtick) where n
+            is the tick number. For example, to set a tick mark at
+            1, 10, 100, 1000, ... set dtick to 1. To set tick marks
+            at 1, 100, 10000, ... set dtick to 2. To set tick marks
+            at 1, 5, 25, 125, 625, 3125, ... set dtick to
+            log_10(5), or 0.69897000433. "log" has several special
+            values; "L<f>", where `f` is a positive number, gives
+            ticks linearly spaced in value (but not position). For
+            example `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+            at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus
+            small digits between, use "D1" (all digits) or "D2"
+            (only 2 and 5). `tick0` is ignored for "D1" and "D2".
+            If the axis `type` is "date", then you must convert the
+            time to milliseconds. For example, to set the interval
+            between ticks to one day, set `dtick` to 86400000.0.
+            "date" also has special values "M<n>" gives ticks
+            spaced by a number of months. `n` must be a positive
+            integer. To set ticks on the 15th of every third month,
+            set `tick0` to "2000-01-15" and `dtick` to "M3". To set
+            ticks every 4 years, set `dtick` to "M48"
+        exponentformat
+            Determines a formatting rule for the tick exponents.
+            For example, consider the number 1,000,000,000. If
+            "none", it appears as 1,000,000,000. If "e", 1e+9. If
+            "E", 1E+9. If "power", 1x10^9 (with 9 in a super
+            script). If "SI", 1G. If "B", 1B.
+        len
+            Sets the length of the color bar This measure excludes
+            the padding of both ends. That is, the color bar length
+            is this length minus the padding on both ends.
+        lenmode
+            Determines whether this color bar's length (i.e. the
+            measure in the color variation direction) is set in
+            units of plot "fraction" or in *pixels. Use `len` to
+            set the value.
+        nticks
+            Specifies the maximum number of ticks for the
+            particular axis. The actual number of ticks will be
+            chosen automatically to be less than or equal to
+            `nticks`. Has an effect only if `tickmode` is set to
+            "auto".
+        outlinecolor
+            Sets the axis line color.
+        outlinewidth
+            Sets the width (in px) of the axis line.
+        separatethousands
+            If "true", even 4-digit integers are separated
+        showexponent
+            If "all", all exponents are shown besides their
+            significands. If "first", only the exponent of the
+            first tick is shown. If "last", only the exponent of
+            the last tick is shown. If "none", no exponents appear.
+        showticklabels
+            Determines whether or not the tick labels are drawn.
+        showtickprefix
+            If "all", all tick labels are displayed with a prefix.
+            If "first", only the first tick is displayed with a
+            prefix. If "last", only the last tick is displayed with
+            a suffix. If "none", tick prefixes are hidden.
+        showticksuffix
+            Same as `showtickprefix` but for tick suffixes.
+        thickness
+            Sets the thickness of the color bar This measure
+            excludes the size of the padding, ticks and labels.
+        thicknessmode
+            Determines whether this color bar's thickness (i.e. the
+            measure in the constant color direction) is set in
+            units of plot "fraction" or in "pixels". Use
+            `thickness` to set the value.
+        tick0
+            Sets the placement of the first tick on this axis. Use
+            with `dtick`. If the axis `type` is "log", then you
+            must take the log of your starting tick (e.g. to set
+            the starting tick to 100, set the `tick0` to 2) except
+            when `dtick`=*L<f>* (see `dtick` for more info). If the
+            axis `type` is "date", it should be a date string, like
+            date data. If the axis `type` is "category", it should
+            be a number, using the scale where each category is
+            assigned a serial number from zero in the order it
+            appears.
+        tickangle
+            Sets the angle of the tick labels with respect to the
+            horizontal. For example, a `tickangle` of -90 draws the
+            tick labels vertically.
+        tickcolor
+            Sets the tick color.
+        tickfont
+            Sets the color bar's tick label font
+        tickformat
+            Sets the tick label formatting rule using d3 formatting
+            mini-languages which are very similar to those in
+            Python. For numbers, see:
+            https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Formatting.md#d3_format And for
+            dates see: https://github.com/d3/d3-3.x-api-
+            reference/blob/master/Time-Formatting.md#format We add
+            one item to d3's date formatter: "%{n}f" for fractional
+            seconds with n digits. For example, *2016-10-13
+            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
+            display "09~15~23.46"
+        tickformatstops
+            A tuple of :class:`plotly.graph_objects.volume.colorbar
+            .Tickformatstop` instances or dicts with compatible
+            properties
+        tickformatstopdefaults
+            When used in a template (as layout.template.data.volume
+            .colorbar.tickformatstopdefaults), sets the default
+            property values to use for elements of
+            volume.colorbar.tickformatstops
+        ticklen
+            Sets the tick length (in px).
+        tickmode
+            Sets the tick mode for this axis. If "auto", the number
+            of ticks is set via `nticks`. If "linear", the
+            placement of the ticks is determined by a starting
+            position `tick0` and a tick step `dtick` ("linear" is
+            the default value if `tick0` and `dtick` are provided).
+            If "array", the placement of the ticks is set via
+            `tickvals` and the tick text is `ticktext`. ("array" is
+            the default value if `tickvals` is provided).
+        tickprefix
+            Sets a tick label prefix.
+        ticks
+            Determines whether ticks are drawn or not. If "", this
+            axis' ticks are not drawn. If "outside" ("inside"),
+            this axis' are drawn outside (inside) the axis lines.
+        ticksuffix
+            Sets a tick label suffix.
+        ticktext
+            Sets the text displayed at the ticks position via
+            `tickvals`. Only has an effect if `tickmode` is set to
+            "array". Used with `tickvals`.
+        ticktextsrc
+            Sets the source reference on Chart Studio Cloud for
+            ticktext .
+        tickvals
+            Sets the values at which ticks on this axis appear.
+            Only has an effect if `tickmode` is set to "array".
+            Used with `ticktext`.
+        tickvalssrc
+            Sets the source reference on Chart Studio Cloud for
+            tickvals .
+        tickwidth
+            Sets the tick width (in px).
+        title
+            :class:`plotly.graph_objects.volume.colorbar.Title`
+            instance or dict with compatible properties
+        titlefont
+            Deprecated: Please use volume.colorbar.title.font
+            instead. Sets this color bar's title font. Note that
+            the title's font used to be set by the now deprecated
+            `titlefont` attribute.
+        titleside
+            Deprecated: Please use volume.colorbar.title.side
+            instead. Determines the location of color bar's title
+            with respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        x
+            Sets the x position of the color bar (in plot
+            fraction).
+        xanchor
+            Sets this color bar's horizontal position anchor. This
+            anchor binds the `x` position to the "left", "center"
+            or "right" of the color bar.
+        xpad
+            Sets the amount of padding (in px) along the x
+            direction.
+        y
+            Sets the y position of the color bar (in plot
+            fraction).
+        yanchor
+            Sets this color bar's vertical position anchor This
+            anchor binds the `y` position to the "top", "middle" or
+            "bottom" of the color bar.
+        ypad
+            Sets the amount of padding (in px) along the y
+            direction.
+
+        Returns
+        -------
+        ColorBar
+        """
+        super(ColorBar, self).__init__("colorbar")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.ColorBar 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.ColorBar`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("borderwidth", None)
+        _v = borderwidth if borderwidth is not None else _v
+        if _v is not None:
+            self["borderwidth"] = _v
+        _v = arg.pop("dtick", None)
+        _v = dtick if dtick is not None else _v
+        if _v is not None:
+            self["dtick"] = _v
+        _v = arg.pop("exponentformat", None)
+        _v = exponentformat if exponentformat is not None else _v
+        if _v is not None:
+            self["exponentformat"] = _v
+        _v = arg.pop("len", None)
+        _v = len if len is not None else _v
+        if _v is not None:
+            self["len"] = _v
+        _v = arg.pop("lenmode", None)
+        _v = lenmode if lenmode is not None else _v
+        if _v is not None:
+            self["lenmode"] = _v
+        _v = arg.pop("nticks", None)
+        _v = nticks if nticks is not None else _v
+        if _v is not None:
+            self["nticks"] = _v
+        _v = arg.pop("outlinecolor", None)
+        _v = outlinecolor if outlinecolor is not None else _v
+        if _v is not None:
+            self["outlinecolor"] = _v
+        _v = arg.pop("outlinewidth", None)
+        _v = outlinewidth if outlinewidth is not None else _v
+        if _v is not None:
+            self["outlinewidth"] = _v
+        _v = arg.pop("separatethousands", None)
+        _v = separatethousands if separatethousands is not None else _v
+        if _v is not None:
+            self["separatethousands"] = _v
+        _v = arg.pop("showexponent", None)
+        _v = showexponent if showexponent is not None else _v
+        if _v is not None:
+            self["showexponent"] = _v
+        _v = arg.pop("showticklabels", None)
+        _v = showticklabels if showticklabels is not None else _v
+        if _v is not None:
+            self["showticklabels"] = _v
+        _v = arg.pop("showtickprefix", None)
+        _v = showtickprefix if showtickprefix is not None else _v
+        if _v is not None:
+            self["showtickprefix"] = _v
+        _v = arg.pop("showticksuffix", None)
+        _v = showticksuffix if showticksuffix is not None else _v
+        if _v is not None:
+            self["showticksuffix"] = _v
+        _v = arg.pop("thickness", None)
+        _v = thickness if thickness is not None else _v
+        if _v is not None:
+            self["thickness"] = _v
+        _v = arg.pop("thicknessmode", None)
+        _v = thicknessmode if thicknessmode is not None else _v
+        if _v is not None:
+            self["thicknessmode"] = _v
+        _v = arg.pop("tick0", None)
+        _v = tick0 if tick0 is not None else _v
+        if _v is not None:
+            self["tick0"] = _v
+        _v = arg.pop("tickangle", None)
+        _v = tickangle if tickangle is not None else _v
+        if _v is not None:
+            self["tickangle"] = _v
+        _v = arg.pop("tickcolor", None)
+        _v = tickcolor if tickcolor is not None else _v
+        if _v is not None:
+            self["tickcolor"] = _v
+        _v = arg.pop("tickfont", None)
+        _v = tickfont if tickfont is not None else _v
+        if _v is not None:
+            self["tickfont"] = _v
+        _v = arg.pop("tickformat", None)
+        _v = tickformat if tickformat is not None else _v
+        if _v is not None:
+            self["tickformat"] = _v
+        _v = arg.pop("tickformatstops", None)
+        _v = tickformatstops if tickformatstops is not None else _v
+        if _v is not None:
+            self["tickformatstops"] = _v
+        _v = arg.pop("tickformatstopdefaults", None)
+        _v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
+        if _v is not None:
+            self["tickformatstopdefaults"] = _v
+        _v = arg.pop("ticklen", None)
+        _v = ticklen if ticklen is not None else _v
+        if _v is not None:
+            self["ticklen"] = _v
+        _v = arg.pop("tickmode", None)
+        _v = tickmode if tickmode is not None else _v
+        if _v is not None:
+            self["tickmode"] = _v
+        _v = arg.pop("tickprefix", None)
+        _v = tickprefix if tickprefix is not None else _v
+        if _v is not None:
+            self["tickprefix"] = _v
+        _v = arg.pop("ticks", None)
+        _v = ticks if ticks is not None else _v
+        if _v is not None:
+            self["ticks"] = _v
+        _v = arg.pop("ticksuffix", None)
+        _v = ticksuffix if ticksuffix is not None else _v
+        if _v is not None:
+            self["ticksuffix"] = _v
+        _v = arg.pop("ticktext", None)
+        _v = ticktext if ticktext is not None else _v
+        if _v is not None:
+            self["ticktext"] = _v
+        _v = arg.pop("ticktextsrc", None)
+        _v = ticktextsrc if ticktextsrc is not None else _v
+        if _v is not None:
+            self["ticktextsrc"] = _v
+        _v = arg.pop("tickvals", None)
+        _v = tickvals if tickvals is not None else _v
+        if _v is not None:
+            self["tickvals"] = _v
+        _v = arg.pop("tickvalssrc", None)
+        _v = tickvalssrc if tickvalssrc is not None else _v
+        if _v is not None:
+            self["tickvalssrc"] = _v
+        _v = arg.pop("tickwidth", None)
+        _v = tickwidth if tickwidth is not None else _v
+        if _v is not None:
+            self["tickwidth"] = _v
+        _v = arg.pop("title", None)
+        _v = title if title is not None else _v
+        if _v is not None:
+            self["title"] = _v
+        _v = arg.pop("titlefont", None)
+        _v = titlefont if titlefont is not None else _v
+        if _v is not None:
+            self["titlefont"] = _v
+        _v = arg.pop("titleside", None)
+        _v = titleside if titleside is not None else _v
+        if _v is not None:
+            self["titleside"] = _v
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("xanchor", None)
+        _v = xanchor if xanchor is not None else _v
+        if _v is not None:
+            self["xanchor"] = _v
+        _v = arg.pop("xpad", None)
+        _v = xpad if xpad is not None else _v
+        if _v is not None:
+            self["xpad"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("yanchor", None)
+        _v = yanchor if yanchor is not None else _v
+        if _v is not None:
+            self["yanchor"] = _v
+        _v = arg.pop("ypad", None)
+        _v = ypad if ypad is not None else _v
+        if _v is not None:
+            self["ypad"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_contour.py b/packages/python/plotly/plotly/graph_objs/volume/_contour.py
new file mode 100644
index 00000000000..d4d14e46d27
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_contour.py
@@ -0,0 +1,193 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Contour(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.contour"
+    _valid_props = {"color", "show", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the color of the contour lines.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets whether or not dynamic contours are shown on hover
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the width of the contour lines.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [1, 16]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the color of the contour lines.
+        show
+            Sets whether or not dynamic contours are shown on hover
+        width
+            Sets the width of the contour lines.
+        """
+
+    def __init__(self, arg=None, color=None, show=None, width=None, **kwargs):
+        """
+        Construct a new Contour object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.Contour`
+        color
+            Sets the color of the contour lines.
+        show
+            Sets whether or not dynamic contours are shown on hover
+        width
+            Sets the width of the contour lines.
+
+        Returns
+        -------
+        Contour
+        """
+        super(Contour, self).__init__("contour")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Contour 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Contour`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/volume/_hoverlabel.py
new file mode 100644
index 00000000000..049de1683f4
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.volume.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_lighting.py b/packages/python/plotly/plotly/graph_objs/volume/_lighting.py
new file mode 100644
index 00000000000..888677a9189
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_lighting.py
@@ -0,0 +1,311 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lighting(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.lighting"
+    _valid_props = {
+        "ambient",
+        "diffuse",
+        "facenormalsepsilon",
+        "fresnel",
+        "roughness",
+        "specular",
+        "vertexnormalsepsilon",
+    }
+
+    # ambient
+    # -------
+    @property
+    def ambient(self):
+        """
+        Ambient light increases overall color visibility but can wash
+        out the image.
+    
+        The 'ambient' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["ambient"]
+
+    @ambient.setter
+    def ambient(self, val):
+        self["ambient"] = val
+
+    # diffuse
+    # -------
+    @property
+    def diffuse(self):
+        """
+        Represents the extent that incident rays are reflected in a
+        range of angles.
+    
+        The 'diffuse' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["diffuse"]
+
+    @diffuse.setter
+    def diffuse(self, val):
+        self["diffuse"] = val
+
+    # facenormalsepsilon
+    # ------------------
+    @property
+    def facenormalsepsilon(self):
+        """
+        Epsilon for face normals calculation avoids math issues arising
+        from degenerate geometry.
+    
+        The 'facenormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["facenormalsepsilon"]
+
+    @facenormalsepsilon.setter
+    def facenormalsepsilon(self, val):
+        self["facenormalsepsilon"] = val
+
+    # fresnel
+    # -------
+    @property
+    def fresnel(self):
+        """
+        Represents the reflectance as a dependency of the viewing
+        angle; e.g. paper is reflective when viewing it from the edge
+        of the paper (almost 90 degrees), causing shine.
+    
+        The 'fresnel' property is a number and may be specified as:
+          - An int or float in the interval [0, 5]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fresnel"]
+
+    @fresnel.setter
+    def fresnel(self, val):
+        self["fresnel"] = val
+
+    # roughness
+    # ---------
+    @property
+    def roughness(self):
+        """
+        Alters specular reflection; the rougher the surface, the wider
+        and less contrasty the shine.
+    
+        The 'roughness' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["roughness"]
+
+    @roughness.setter
+    def roughness(self, val):
+        self["roughness"] = val
+
+    # specular
+    # --------
+    @property
+    def specular(self):
+        """
+        Represents the level that incident rays are reflected in a
+        single direction, causing shine.
+    
+        The 'specular' property is a number and may be specified as:
+          - An int or float in the interval [0, 2]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["specular"]
+
+    @specular.setter
+    def specular(self, val):
+        self["specular"] = val
+
+    # vertexnormalsepsilon
+    # --------------------
+    @property
+    def vertexnormalsepsilon(self):
+        """
+        Epsilon for vertex normals calculation avoids math issues
+        arising from degenerate geometry.
+    
+        The 'vertexnormalsepsilon' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["vertexnormalsepsilon"]
+
+    @vertexnormalsepsilon.setter
+    def vertexnormalsepsilon(self, val):
+        self["vertexnormalsepsilon"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        ambient=None,
+        diffuse=None,
+        facenormalsepsilon=None,
+        fresnel=None,
+        roughness=None,
+        specular=None,
+        vertexnormalsepsilon=None,
+        **kwargs
+    ):
+        """
+        Construct a new Lighting object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.Lighting`
+        ambient
+            Ambient light increases overall color visibility but
+            can wash out the image.
+        diffuse
+            Represents the extent that incident rays are reflected
+            in a range of angles.
+        facenormalsepsilon
+            Epsilon for face normals calculation avoids math issues
+            arising from degenerate geometry.
+        fresnel
+            Represents the reflectance as a dependency of the
+            viewing angle; e.g. paper is reflective when viewing it
+            from the edge of the paper (almost 90 degrees), causing
+            shine.
+        roughness
+            Alters specular reflection; the rougher the surface,
+            the wider and less contrasty the shine.
+        specular
+            Represents the level that incident rays are reflected
+            in a single direction, causing shine.
+        vertexnormalsepsilon
+            Epsilon for vertex normals calculation avoids math
+            issues arising from degenerate geometry.
+
+        Returns
+        -------
+        Lighting
+        """
+        super(Lighting, self).__init__("lighting")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Lighting 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Lighting`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("ambient", None)
+        _v = ambient if ambient is not None else _v
+        if _v is not None:
+            self["ambient"] = _v
+        _v = arg.pop("diffuse", None)
+        _v = diffuse if diffuse is not None else _v
+        if _v is not None:
+            self["diffuse"] = _v
+        _v = arg.pop("facenormalsepsilon", None)
+        _v = facenormalsepsilon if facenormalsepsilon is not None else _v
+        if _v is not None:
+            self["facenormalsepsilon"] = _v
+        _v = arg.pop("fresnel", None)
+        _v = fresnel if fresnel is not None else _v
+        if _v is not None:
+            self["fresnel"] = _v
+        _v = arg.pop("roughness", None)
+        _v = roughness if roughness is not None else _v
+        if _v is not None:
+            self["roughness"] = _v
+        _v = arg.pop("specular", None)
+        _v = specular if specular is not None else _v
+        if _v is not None:
+            self["specular"] = _v
+        _v = arg.pop("vertexnormalsepsilon", None)
+        _v = vertexnormalsepsilon if vertexnormalsepsilon is not None else _v
+        if _v is not None:
+            self["vertexnormalsepsilon"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_lightposition.py b/packages/python/plotly/plotly/graph_objs/volume/_lightposition.py
new file mode 100644
index 00000000000..368d5857b05
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_lightposition.py
@@ -0,0 +1,160 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Lightposition(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.lightposition"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        Numeric vector, representing the X coordinate for each vertex.
+    
+        The 'x' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        Numeric vector, representing the Y coordinate for each vertex.
+    
+        The 'y' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        Numeric vector, representing the Z coordinate for each vertex.
+    
+        The 'z' property is a number and may be specified as:
+          - An int or float in the interval [-100000, 100000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Lightposition object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.Lightposition`
+        x
+            Numeric vector, representing the X coordinate for each
+            vertex.
+        y
+            Numeric vector, representing the Y coordinate for each
+            vertex.
+        z
+            Numeric vector, representing the Z coordinate for each
+            vertex.
+
+        Returns
+        -------
+        Lightposition
+        """
+        super(Lightposition, self).__init__("lightposition")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Lightposition 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Lightposition`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_slices.py b/packages/python/plotly/plotly/graph_objs/volume/_slices.py
new file mode 100644
index 00000000000..ab6dbdae65a
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_slices.py
@@ -0,0 +1,225 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Slices(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.slices"
+    _valid_props = {"x", "y", "z"}
+
+    # x
+    # -
+    @property
+    def x(self):
+        """
+        The 'x' property is an instance of X
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.slices.X`
+          - A dict of string/value properties that will be passed
+            to the X constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the `slices` is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                locations
+                    Specifies the location(s) of slices on the
+                    axis. When not specified slices would be
+                    created for all points of the axis x except
+                    start and end.
+                locationssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  locations .
+                show
+                    Determines whether or not slice planes about
+                    the x dimension are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.slices.X
+        """
+        return self["x"]
+
+    @x.setter
+    def x(self, val):
+        self["x"] = val
+
+    # y
+    # -
+    @property
+    def y(self):
+        """
+        The 'y' property is an instance of Y
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.slices.Y`
+          - A dict of string/value properties that will be passed
+            to the Y constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the `slices` is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                locations
+                    Specifies the location(s) of slices on the
+                    axis. When not specified slices would be
+                    created for all points of the axis y except
+                    start and end.
+                locationssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  locations .
+                show
+                    Determines whether or not slice planes about
+                    the y dimension are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.slices.Y
+        """
+        return self["y"]
+
+    @y.setter
+    def y(self, val):
+        self["y"] = val
+
+    # z
+    # -
+    @property
+    def z(self):
+        """
+        The 'z' property is an instance of Z
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.slices.Z`
+          - A dict of string/value properties that will be passed
+            to the Z constructor
+    
+            Supported dict properties:
+                
+                fill
+                    Sets the fill ratio of the `slices`. The
+                    default fill value of the `slices` is 1 meaning
+                    that they are entirely shaded. On the other
+                    hand Applying a `fill` ratio less than one
+                    would allow the creation of openings parallel
+                    to the edges.
+                locations
+                    Specifies the location(s) of slices on the
+                    axis. When not specified slices would be
+                    created for all points of the axis z except
+                    start and end.
+                locationssrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  locations .
+                show
+                    Determines whether or not slice planes about
+                    the z dimension are drawn.
+
+        Returns
+        -------
+        plotly.graph_objs.volume.slices.Z
+        """
+        return self["z"]
+
+    @z.setter
+    def z(self, val):
+        self["z"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        x
+            :class:`plotly.graph_objects.volume.slices.X` instance
+            or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.volume.slices.Y` instance
+            or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.volume.slices.Z` instance
+            or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
+        """
+        Construct a new Slices object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.Slices`
+        x
+            :class:`plotly.graph_objects.volume.slices.X` instance
+            or dict with compatible properties
+        y
+            :class:`plotly.graph_objects.volume.slices.Y` instance
+            or dict with compatible properties
+        z
+            :class:`plotly.graph_objects.volume.slices.Z` instance
+            or dict with compatible properties
+
+        Returns
+        -------
+        Slices
+        """
+        super(Slices, self).__init__("slices")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Slices 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Slices`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("x", None)
+        _v = x if x is not None else _v
+        if _v is not None:
+            self["x"] = _v
+        _v = arg.pop("y", None)
+        _v = y if y is not None else _v
+        if _v is not None:
+            self["y"] = _v
+        _v = arg.pop("z", None)
+        _v = z if z is not None else _v
+        if _v is not None:
+            self["z"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_spaceframe.py b/packages/python/plotly/plotly/graph_objs/volume/_spaceframe.py
new file mode 100644
index 00000000000..0fff4d7757f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_spaceframe.py
@@ -0,0 +1,143 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Spaceframe(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.spaceframe"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `spaceframe` elements. The default
+        fill value is 1 meaning that they are entirely shaded. Applying
+        a `fill` ratio less than one would allow the creation of
+        openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Displays/hides tetrahedron shapes between minimum and maximum
+        iso-values. Often useful when either caps or surfaces are
+        disabled or filled with values less than 1.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `spaceframe` elements. The
+            default fill value is 1 meaning that they are entirely
+            shaded. Applying a `fill` ratio less than one would
+            allow the creation of openings parallel to the edges.
+        show
+            Displays/hides tetrahedron shapes between minimum and
+            maximum iso-values. Often useful when either caps or
+            surfaces are disabled or filled with values less than
+            1.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new Spaceframe object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.Spaceframe`
+        fill
+            Sets the fill ratio of the `spaceframe` elements. The
+            default fill value is 1 meaning that they are entirely
+            shaded. Applying a `fill` ratio less than one would
+            allow the creation of openings parallel to the edges.
+        show
+            Displays/hides tetrahedron shapes between minimum and
+            maximum iso-values. Often useful when either caps or
+            surfaces are disabled or filled with values less than
+            1.
+
+        Returns
+        -------
+        Spaceframe
+        """
+        super(Spaceframe, self).__init__("spaceframe")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Spaceframe 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Spaceframe`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_stream.py b/packages/python/plotly/plotly/graph_objs/volume/_stream.py
new file mode 100644
index 00000000000..1d0f4cd9037
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_stream.py
@@ -0,0 +1,139 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/_surface.py b/packages/python/plotly/plotly/graph_objs/volume/_surface.py
new file mode 100644
index 00000000000..d45128921c7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/_surface.py
@@ -0,0 +1,229 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Surface(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume"
+    _path_str = "volume.surface"
+    _valid_props = {"count", "fill", "pattern", "show"}
+
+    # count
+    # -----
+    @property
+    def count(self):
+        """
+        Sets the number of iso-surfaces between minimum and maximum
+        iso-values. By default this value is 2 meaning that only
+        minimum and maximum surfaces would be drawn.
+    
+        The 'count' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [1, 9223372036854775807]
+
+        Returns
+        -------
+        int
+        """
+        return self["count"]
+
+    @count.setter
+    def count(self, val):
+        self["count"] = val
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the iso-surface. The default fill value
+        of the surface is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # pattern
+    # -------
+    @property
+    def pattern(self):
+        """
+        Sets the surface pattern of the iso-surface 3-D sections. The
+        default pattern of the surface is `all` meaning that the rest
+        of surface elements would be shaded. The check options (either
+        1 or 2) could be used to draw half of the squares on the
+        surface. Using various combinations of capital `A`, `B`, `C`,
+        `D` and `E` may also be used to reduce the number of triangles
+        on the iso-surfaces and creating other patterns of interest.
+    
+        The 'pattern' property is a flaglist and may be specified
+        as a string containing:
+          - Any combination of ['A', 'B', 'C', 'D', 'E'] joined with '+' characters
+            (e.g. 'A+B')
+            OR exactly one of ['all', 'odd', 'even'] (e.g. 'even')
+
+        Returns
+        -------
+        Any
+        """
+        return self["pattern"]
+
+    @pattern.setter
+    def pattern(self, val):
+        self["pattern"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Hides/displays surfaces between minimum and maximum iso-values.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        count
+            Sets the number of iso-surfaces between minimum and
+            maximum iso-values. By default this value is 2 meaning
+            that only minimum and maximum surfaces would be drawn.
+        fill
+            Sets the fill ratio of the iso-surface. The default
+            fill value of the surface is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        pattern
+            Sets the surface pattern of the iso-surface 3-D
+            sections. The default pattern of the surface is `all`
+            meaning that the rest of surface elements would be
+            shaded. The check options (either 1 or 2) could be used
+            to draw half of the squares on the surface. Using
+            various combinations of capital `A`, `B`, `C`, `D` and
+            `E` may also be used to reduce the number of triangles
+            on the iso-surfaces and creating other patterns of
+            interest.
+        show
+            Hides/displays surfaces between minimum and maximum
+            iso-values.
+        """
+
+    def __init__(
+        self, arg=None, count=None, fill=None, pattern=None, show=None, **kwargs
+    ):
+        """
+        Construct a new Surface object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.Surface`
+        count
+            Sets the number of iso-surfaces between minimum and
+            maximum iso-values. By default this value is 2 meaning
+            that only minimum and maximum surfaces would be drawn.
+        fill
+            Sets the fill ratio of the iso-surface. The default
+            fill value of the surface is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        pattern
+            Sets the surface pattern of the iso-surface 3-D
+            sections. The default pattern of the surface is `all`
+            meaning that the rest of surface elements would be
+            shaded. The check options (either 1 or 2) could be used
+            to draw half of the squares on the surface. Using
+            various combinations of capital `A`, `B`, `C`, `D` and
+            `E` may also be used to reduce the number of triangles
+            on the iso-surfaces and creating other patterns of
+            interest.
+        show
+            Hides/displays surfaces between minimum and maximum
+            iso-values.
+
+        Returns
+        -------
+        Surface
+        """
+        super(Surface, self).__init__("surface")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.Surface 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.Surface`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("count", None)
+        _v = count if count is not None else _v
+        if _v is not None:
+            self["count"] = _v
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("pattern", None)
+        _v = pattern if pattern is not None else _v
+        if _v is not None:
+            self["pattern"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/caps/__init__.py b/packages/python/plotly/plotly/graph_objs/volume/caps/__init__.py
index c63ef0784ea..3e3a4f570cc 100644
--- a/packages/python/plotly/plotly/graph_objs/volume/caps/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/volume/caps/__init__.py
@@ -1,451 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Z(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `caps`. The default fill value of
-        the `caps` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the z `slices` is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.caps"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the z `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new Z object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.caps.Z`
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the z `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-
-        Returns
-        -------
-        Z
-        """
-        super(Z, self).__init__("z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.caps.Z 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.caps.Z`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.caps import z as v_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_z.FillValidator()
-        self._validators["show"] = v_z.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Y(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `caps`. The default fill value of
-        the `caps` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the y `slices` is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.caps"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the y `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new Y object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.caps.Y`
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the y `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-
-        Returns
-        -------
-        Y
-        """
-        super(Y, self).__init__("y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.caps.Y 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.caps.Y`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.caps import y as v_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_y.FillValidator()
-        self._validators["show"] = v_y.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class X(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `caps`. The default fill value of
-        the `caps` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the x `slices` is 1 meaning that they are entirely shaded. On
-        the other hand Applying a `fill` ratio less than one would
-        allow the creation of openings parallel to the edges.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.caps"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the x `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        """
-
-    def __init__(self, arg=None, fill=None, show=None, **kwargs):
-        """
-        Construct a new X object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.caps.X`
-        fill
-            Sets the fill ratio of the `caps`. The default fill
-            value of the `caps` is 1 meaning that they are entirely
-            shaded. On the other hand Applying a `fill` ratio less
-            than one would allow the creation of openings parallel
-            to the edges.
-        show
-            Sets the fill ratio of the `slices`. The default fill
-            value of the x `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-
-        Returns
-        -------
-        X
-        """
-        super(X, self).__init__("x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.caps.X 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.caps.X`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.caps import x as v_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_x.FillValidator()
-        self._validators["show"] = v_x.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["X", "Y", "Z"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import Z
+    from ._y import Y
+    from ._x import X
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.Z", "._y.Y", "._x.X"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/volume/caps/_x.py b/packages/python/plotly/plotly/graph_objs/volume/caps/_x.py
new file mode 100644
index 00000000000..1b752daef58
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/caps/_x.py
@@ -0,0 +1,147 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class X(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.caps"
+    _path_str = "volume.caps.x"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `caps`. The default fill value of
+        the `caps` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the x `slices` is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the x `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new X object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.caps.X`
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the x `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+
+        Returns
+        -------
+        X
+        """
+        super(X, self).__init__("x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.caps.X 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.caps.X`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/caps/_y.py b/packages/python/plotly/plotly/graph_objs/volume/caps/_y.py
new file mode 100644
index 00000000000..6141c4d3fed
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/caps/_y.py
@@ -0,0 +1,147 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Y(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.caps"
+    _path_str = "volume.caps.y"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `caps`. The default fill value of
+        the `caps` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the y `slices` is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the y `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new Y object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.caps.Y`
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the y `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+
+        Returns
+        -------
+        Y
+        """
+        super(Y, self).__init__("y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.caps.Y 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.caps.Y`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/caps/_z.py b/packages/python/plotly/plotly/graph_objs/volume/caps/_z.py
new file mode 100644
index 00000000000..0ed9ebb6d47
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/caps/_z.py
@@ -0,0 +1,147 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Z(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.caps"
+    _path_str = "volume.caps.z"
+    _valid_props = {"fill", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `caps`. The default fill value of
+        the `caps` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the z `slices` is 1 meaning that they are entirely shaded. On
+        the other hand Applying a `fill` ratio less than one would
+        allow the creation of openings parallel to the edges.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the z `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        """
+
+    def __init__(self, arg=None, fill=None, show=None, **kwargs):
+        """
+        Construct a new Z object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.caps.Z`
+        fill
+            Sets the fill ratio of the `caps`. The default fill
+            value of the `caps` is 1 meaning that they are entirely
+            shaded. On the other hand Applying a `fill` ratio less
+            than one would allow the creation of openings parallel
+            to the edges.
+        show
+            Sets the fill ratio of the `slices`. The default fill
+            value of the z `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+
+        Returns
+        -------
+        Z
+        """
+        super(Z, self).__init__("z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.caps.Z 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.caps.Z`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/colorbar/__init__.py b/packages/python/plotly/plotly/graph_objs/volume/colorbar/__init__.py
index a61012d5e4c..4e5b92242be 100644
--- a/packages/python/plotly/plotly/graph_objs/volume/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/volume/colorbar/__init__.py
@@ -1,722 +1,15 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Title(_BaseTraceHierarchyType):
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.volume.colorbar.title.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                size
-
-        Returns
-        -------
-        plotly.graph_objs.volume.colorbar.title.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # side
-    # ----
-    @property
-    def side(self):
-        """
-        Determines the location of color bar's title with respect to
-        the color bar. Note that the title's location used to be set by
-        the now deprecated `titleside` attribute.
-    
-        The 'side' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['right', 'top', 'bottom']
-
-        Returns
-        -------
-        Any
-        """
-        return self["side"]
-
-    @side.setter
-    def side(self, val):
-        self["side"] = val
-
-    # text
-    # ----
-    @property
-    def text(self):
-        """
-        Sets the title of the color bar. Note that before the existence
-        of `title.text`, the title's contents used to be defined as the
-        `title` attribute itself. This behavior has been deprecated.
-    
-        The 'text' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["text"]
-
-    @text.setter
-    def text(self, val):
-        self["text"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-        """
-
-    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
-        """
-        Construct a new Title object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.colorbar.Title`
-        font
-            Sets this color bar's title font. Note that the title's
-            font used to be set by the now deprecated `titlefont`
-            attribute.
-        side
-            Determines the location of color bar's title with
-            respect to the color bar. Note that the title's
-            location used to be set by the now deprecated
-            `titleside` attribute.
-        text
-            Sets the title of the color bar. Note that before the
-            existence of `title.text`, the title's contents used to
-            be defined as the `title` attribute itself. This
-            behavior has been deprecated.
-
-        Returns
-        -------
-        Title
-        """
-        super(Title, self).__init__("title")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.colorbar.Title 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.colorbar.Title`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.colorbar import title as v_title
-
-        # Initialize validators
-        # ---------------------
-        self._validators["font"] = v_title.FontValidator()
-        self._validators["side"] = v_title.SideValidator()
-        self._validators["text"] = v_title.TextValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("side", None)
-        self["side"] = side if side is not None else _v
-        _v = arg.pop("text", None)
-        self["text"] = text if text is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickformatstop(_BaseTraceHierarchyType):
-
-    # dtickrange
-    # ----------
-    @property
-    def dtickrange(self):
-        """
-        range [*min*, *max*], where "min", "max" - dtick values which
-        describe some zoom level, it is possible to omit "min" or "max"
-        value by passing "null"
-    
-        The 'dtickrange' property is an info array that may be specified as:
-    
-        * a list or tuple of 2 elements where:
-    (0) The 'dtickrange[0]' property accepts values of any type
-    (1) The 'dtickrange[1]' property accepts values of any type
-
-        Returns
-        -------
-        list
-        """
-        return self["dtickrange"]
-
-    @dtickrange.setter
-    def dtickrange(self, val):
-        self["dtickrange"] = val
-
-    # enabled
-    # -------
-    @property
-    def enabled(self):
-        """
-        Determines whether or not this stop is used. If `false`, this
-        stop is ignored even within its `dtickrange`.
-    
-        The 'enabled' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["enabled"]
-
-    @enabled.setter
-    def enabled(self, val):
-        self["enabled"] = val
-
-    # name
-    # ----
-    @property
-    def name(self):
-        """
-        When used in a template, named items are created in the output
-        figure in addition to any items the figure already has in this
-        array. You can modify these items in the output figure by
-        making your own item with `templateitemname` matching this
-        `name` alongside your modifications (including `visible: false`
-        or `enabled: false` to hide it). Has no effect outside of a
-        template.
-    
-        The 'name' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["name"]
-
-    @name.setter
-    def name(self, val):
-        self["name"] = val
-
-    # templateitemname
-    # ----------------
-    @property
-    def templateitemname(self):
-        """
-        Used to refer to a named item in this array in the template.
-        Named items from the template will be created even without a
-        matching item in the input figure, but you can modify one by
-        making an item with `templateitemname` matching its `name`,
-        alongside your modifications (including `visible: false` or
-        `enabled: false` to hide it). If there is no template or no
-        matching item, this item will be hidden unless you explicitly
-        show it with `visible: true`.
-    
-        The 'templateitemname' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["templateitemname"]
-
-    @templateitemname.setter
-    def templateitemname(self, val):
-        self["templateitemname"] = val
-
-    # value
-    # -----
-    @property
-    def value(self):
-        """
-        string - dtickformat for described zoom level, the same as
-        "tickformat"
-    
-        The 'value' property is a string and must be specified as:
-          - A string
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["value"]
-
-    @value.setter
-    def value(self, val):
-        self["value"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        dtickrange=None,
-        enabled=None,
-        name=None,
-        templateitemname=None,
-        value=None,
-        **kwargs
-    ):
-        """
-        Construct a new Tickformatstop object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.volume.colorba
-            r.Tickformatstop`
-        dtickrange
-            range [*min*, *max*], where "min", "max" - dtick values
-            which describe some zoom level, it is possible to omit
-            "min" or "max" value by passing "null"
-        enabled
-            Determines whether or not this stop is used. If
-            `false`, this stop is ignored even within its
-            `dtickrange`.
-        name
-            When used in a template, named items are created in the
-            output figure in addition to any items the figure
-            already has in this array. You can modify these items
-            in the output figure by making your own item with
-            `templateitemname` matching this `name` alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). Has no effect outside of a
-            template.
-        templateitemname
-            Used to refer to a named item in this array in the
-            template. Named items from the template will be created
-            even without a matching item in the input figure, but
-            you can modify one by making an item with
-            `templateitemname` matching its `name`, alongside your
-            modifications (including `visible: false` or `enabled:
-            false` to hide it). If there is no template or no
-            matching item, this item will be hidden unless you
-            explicitly show it with `visible: true`.
-        value
-            string - dtickformat for described zoom level, the same
-            as "tickformat"
-
-        Returns
-        -------
-        Tickformatstop
-        """
-        super(Tickformatstop, self).__init__("tickformatstops")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.colorbar.Tickformatstop 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.colorbar.Tickformatstop`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.colorbar import tickformatstop as v_tickformatstop
-
-        # Initialize validators
-        # ---------------------
-        self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
-        self._validators["enabled"] = v_tickformatstop.EnabledValidator()
-        self._validators["name"] = v_tickformatstop.NameValidator()
-        self._validators[
-            "templateitemname"
-        ] = v_tickformatstop.TemplateitemnameValidator()
-        self._validators["value"] = v_tickformatstop.ValueValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("dtickrange", None)
-        self["dtickrange"] = dtickrange if dtickrange is not None else _v
-        _v = arg.pop("enabled", None)
-        self["enabled"] = enabled if enabled is not None else _v
-        _v = arg.pop("name", None)
-        self["name"] = name if name is not None else _v
-        _v = arg.pop("templateitemname", None)
-        self["templateitemname"] = (
-            templateitemname if templateitemname is not None else _v
-        )
-        _v = arg.pop("value", None)
-        self["value"] = value if value is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Tickfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.colorbar"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Tickfont object
-        
-        Sets the color bar's tick label font
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.colorbar.Tickfont`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Tickfont
-        """
-        super(Tickfont, self).__init__("tickfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.colorbar.Tickfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.colorbar.Tickfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.colorbar import tickfont as v_tickfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_tickfont.ColorValidator()
-        self._validators["family"] = v_tickfont.FamilyValidator()
-        self._validators["size"] = v_tickfont.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Tickfont", "Tickformatstop", "Tickformatstop", "Title", "title"]
-
-from plotly.graph_objs.volume.colorbar import title
+import sys
+
+if sys.version_info < (3, 7):
+    from ._title import Title
+    from ._tickformatstop import Tickformatstop
+    from ._tickfont import Tickfont
+    from . import title
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".title"],
+        ["._title.Title", "._tickformatstop.Tickformatstop", "._tickfont.Tickfont"],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/volume/colorbar/_tickfont.py b/packages/python/plotly/plotly/graph_objs/volume/colorbar/_tickfont.py
new file mode 100644
index 00000000000..697332a5607
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/colorbar/_tickfont.py
@@ -0,0 +1,226 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.colorbar"
+    _path_str = "volume.colorbar.tickfont"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Tickfont object
+        
+        Sets the color bar's tick label font
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.colorbar.Tickfont`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Tickfont
+        """
+        super(Tickfont, self).__init__("tickfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.colorbar.Tickfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.colorbar.Tickfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/colorbar/_tickformatstop.py b/packages/python/plotly/plotly/graph_objs/volume/colorbar/_tickformatstop.py
new file mode 100644
index 00000000000..5ff20c4c80f
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/colorbar/_tickformatstop.py
@@ -0,0 +1,282 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Tickformatstop(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.colorbar"
+    _path_str = "volume.colorbar.tickformatstop"
+    _valid_props = {"dtickrange", "enabled", "name", "templateitemname", "value"}
+
+    # dtickrange
+    # ----------
+    @property
+    def dtickrange(self):
+        """
+        range [*min*, *max*], where "min", "max" - dtick values which
+        describe some zoom level, it is possible to omit "min" or "max"
+        value by passing "null"
+    
+        The 'dtickrange' property is an info array that may be specified as:
+    
+        * a list or tuple of 2 elements where:
+    (0) The 'dtickrange[0]' property accepts values of any type
+    (1) The 'dtickrange[1]' property accepts values of any type
+
+        Returns
+        -------
+        list
+        """
+        return self["dtickrange"]
+
+    @dtickrange.setter
+    def dtickrange(self, val):
+        self["dtickrange"] = val
+
+    # enabled
+    # -------
+    @property
+    def enabled(self):
+        """
+        Determines whether or not this stop is used. If `false`, this
+        stop is ignored even within its `dtickrange`.
+    
+        The 'enabled' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["enabled"]
+
+    @enabled.setter
+    def enabled(self, val):
+        self["enabled"] = val
+
+    # name
+    # ----
+    @property
+    def name(self):
+        """
+        When used in a template, named items are created in the output
+        figure in addition to any items the figure already has in this
+        array. You can modify these items in the output figure by
+        making your own item with `templateitemname` matching this
+        `name` alongside your modifications (including `visible: false`
+        or `enabled: false` to hide it). Has no effect outside of a
+        template.
+    
+        The 'name' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["name"]
+
+    @name.setter
+    def name(self, val):
+        self["name"] = val
+
+    # templateitemname
+    # ----------------
+    @property
+    def templateitemname(self):
+        """
+        Used to refer to a named item in this array in the template.
+        Named items from the template will be created even without a
+        matching item in the input figure, but you can modify one by
+        making an item with `templateitemname` matching its `name`,
+        alongside your modifications (including `visible: false` or
+        `enabled: false` to hide it). If there is no template or no
+        matching item, this item will be hidden unless you explicitly
+        show it with `visible: true`.
+    
+        The 'templateitemname' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["templateitemname"]
+
+    @templateitemname.setter
+    def templateitemname(self, val):
+        self["templateitemname"] = val
+
+    # value
+    # -----
+    @property
+    def value(self):
+        """
+        string - dtickformat for described zoom level, the same as
+        "tickformat"
+    
+        The 'value' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["value"]
+
+    @value.setter
+    def value(self, val):
+        self["value"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        dtickrange=None,
+        enabled=None,
+        name=None,
+        templateitemname=None,
+        value=None,
+        **kwargs
+    ):
+        """
+        Construct a new Tickformatstop object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.volume.colorba
+            r.Tickformatstop`
+        dtickrange
+            range [*min*, *max*], where "min", "max" - dtick values
+            which describe some zoom level, it is possible to omit
+            "min" or "max" value by passing "null"
+        enabled
+            Determines whether or not this stop is used. If
+            `false`, this stop is ignored even within its
+            `dtickrange`.
+        name
+            When used in a template, named items are created in the
+            output figure in addition to any items the figure
+            already has in this array. You can modify these items
+            in the output figure by making your own item with
+            `templateitemname` matching this `name` alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). Has no effect outside of a
+            template.
+        templateitemname
+            Used to refer to a named item in this array in the
+            template. Named items from the template will be created
+            even without a matching item in the input figure, but
+            you can modify one by making an item with
+            `templateitemname` matching its `name`, alongside your
+            modifications (including `visible: false` or `enabled:
+            false` to hide it). If there is no template or no
+            matching item, this item will be hidden unless you
+            explicitly show it with `visible: true`.
+        value
+            string - dtickformat for described zoom level, the same
+            as "tickformat"
+
+        Returns
+        -------
+        Tickformatstop
+        """
+        super(Tickformatstop, self).__init__("tickformatstops")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.colorbar.Tickformatstop 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.colorbar.Tickformatstop`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("dtickrange", None)
+        _v = dtickrange if dtickrange is not None else _v
+        if _v is not None:
+            self["dtickrange"] = _v
+        _v = arg.pop("enabled", None)
+        _v = enabled if enabled is not None else _v
+        if _v is not None:
+            self["enabled"] = _v
+        _v = arg.pop("name", None)
+        _v = name if name is not None else _v
+        if _v is not None:
+            self["name"] = _v
+        _v = arg.pop("templateitemname", None)
+        _v = templateitemname if templateitemname is not None else _v
+        if _v is not None:
+            self["templateitemname"] = _v
+        _v = arg.pop("value", None)
+        _v = value if value is not None else _v
+        if _v is not None:
+            self["value"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/colorbar/_title.py b/packages/python/plotly/plotly/graph_objs/volume/colorbar/_title.py
new file mode 100644
index 00000000000..6816a675ed2
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/colorbar/_title.py
@@ -0,0 +1,203 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Title(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.colorbar"
+    _path_str = "volume.colorbar.title"
+    _valid_props = {"font", "side", "text"}
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.volume.colorbar.title.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                size
+
+        Returns
+        -------
+        plotly.graph_objs.volume.colorbar.title.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # side
+    # ----
+    @property
+    def side(self):
+        """
+        Determines the location of color bar's title with respect to
+        the color bar. Note that the title's location used to be set by
+        the now deprecated `titleside` attribute.
+    
+        The 'side' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['right', 'top', 'bottom']
+
+        Returns
+        -------
+        Any
+        """
+        return self["side"]
+
+    @side.setter
+    def side(self, val):
+        self["side"] = val
+
+    # text
+    # ----
+    @property
+    def text(self):
+        """
+        Sets the title of the color bar. Note that before the existence
+        of `title.text`, the title's contents used to be defined as the
+        `title` attribute itself. This behavior has been deprecated.
+    
+        The 'text' property is a string and must be specified as:
+          - A string
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["text"]
+
+    @text.setter
+    def text(self, val):
+        self["text"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+        """
+
+    def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
+        """
+        Construct a new Title object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.colorbar.Title`
+        font
+            Sets this color bar's title font. Note that the title's
+            font used to be set by the now deprecated `titlefont`
+            attribute.
+        side
+            Determines the location of color bar's title with
+            respect to the color bar. Note that the title's
+            location used to be set by the now deprecated
+            `titleside` attribute.
+        text
+            Sets the title of the color bar. Note that before the
+            existence of `title.text`, the title's contents used to
+            be defined as the `title` attribute itself. This
+            behavior has been deprecated.
+
+        Returns
+        -------
+        Title
+        """
+        super(Title, self).__init__("title")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.colorbar.Title 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.colorbar.Title`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("side", None)
+        _v = side if side is not None else _v
+        if _v is not None:
+            self["side"] = _v
+        _v = arg.pop("text", None)
+        _v = text if text is not None else _v
+        if _v is not None:
+            self["text"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/__init__.py b/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/__init__.py
index 2bc47ce4306..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/__init__.py
@@ -1,230 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.colorbar.title"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-        """
-
-    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
-        """
-        Construct a new Font object
-        
-        Sets this color bar's title font. Note that the title's font
-        used to be set by the now deprecated `titlefont` attribute.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.colorbar.title.Font`
-        color
-
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        size
-
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.colorbar.title.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.colorbar.title.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.colorbar.title import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["size"] = v_font.SizeValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/_font.py b/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/_font.py
new file mode 100644
index 00000000000..97343394df5
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/colorbar/title/_font.py
@@ -0,0 +1,227 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.colorbar.title"
+    _path_str = "volume.colorbar.title.font"
+    _valid_props = {"color", "family", "size"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+        """
+
+    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
+        """
+        Construct a new Font object
+        
+        Sets this color bar's title font. Note that the title's font
+        used to be set by the now deprecated `titlefont` attribute.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.colorbar.title.Font`
+        color
+
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        size
+
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.colorbar.title.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.colorbar.title.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/__init__.py
index 8f6dfbfe864..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/_font.py
new file mode 100644
index 00000000000..3a04f43b1cc
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.hoverlabel"
+    _path_str = "volume.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/slices/__init__.py b/packages/python/plotly/plotly/graph_objs/volume/slices/__init__.py
index 1066624c614..3e3a4f570cc 100644
--- a/packages/python/plotly/plotly/graph_objs/volume/slices/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/volume/slices/__init__.py
@@ -1,643 +1,12 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Z(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the `slices` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Specifies the location(s) of slices on the axis. When not
-        specified slices would be created for all points of the axis z
-        except start and end.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not slice planes about the z dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.slices"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis z except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the z
-            dimension are drawn.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fill=None,
-        locations=None,
-        locationssrc=None,
-        show=None,
-        **kwargs
-    ):
-        """
-        Construct a new Z object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.slices.Z`
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis z except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the z
-            dimension are drawn.
-
-        Returns
-        -------
-        Z
-        """
-        super(Z, self).__init__("z")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.slices.Z 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.slices.Z`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.slices import z as v_z
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_z.FillValidator()
-        self._validators["locations"] = v_z.LocationsValidator()
-        self._validators["locationssrc"] = v_z.LocationssrcValidator()
-        self._validators["show"] = v_z.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Y(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the `slices` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Specifies the location(s) of slices on the axis. When not
-        specified slices would be created for all points of the axis y
-        except start and end.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not slice planes about the y dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.slices"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis y except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the y
-            dimension are drawn.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fill=None,
-        locations=None,
-        locationssrc=None,
-        show=None,
-        **kwargs
-    ):
-        """
-        Construct a new Y object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.slices.Y`
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis y except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the y
-            dimension are drawn.
-
-        Returns
-        -------
-        Y
-        """
-        super(Y, self).__init__("y")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.slices.Y 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.slices.Y`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.slices import y as v_y
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_y.FillValidator()
-        self._validators["locations"] = v_y.LocationsValidator()
-        self._validators["locationssrc"] = v_y.LocationssrcValidator()
-        self._validators["show"] = v_y.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class X(_BaseTraceHierarchyType):
-
-    # fill
-    # ----
-    @property
-    def fill(self):
-        """
-        Sets the fill ratio of the `slices`. The default fill value of
-        the `slices` is 1 meaning that they are entirely shaded. On the
-        other hand Applying a `fill` ratio less than one would allow
-        the creation of openings parallel to the edges.
-    
-        The 'fill' property is a number and may be specified as:
-          - An int or float in the interval [0, 1]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["fill"]
-
-    @fill.setter
-    def fill(self, val):
-        self["fill"] = val
-
-    # locations
-    # ---------
-    @property
-    def locations(self):
-        """
-        Specifies the location(s) of slices on the axis. When not
-        specified slices would be created for all points of the axis x
-        except start and end.
-    
-        The 'locations' property is an array that may be specified as a tuple,
-        list, numpy array, or pandas Series
-
-        Returns
-        -------
-        numpy.ndarray
-        """
-        return self["locations"]
-
-    @locations.setter
-    def locations(self, val):
-        self["locations"] = val
-
-    # locationssrc
-    # ------------
-    @property
-    def locationssrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  locations
-        .
-    
-        The 'locationssrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["locationssrc"]
-
-    @locationssrc.setter
-    def locationssrc(self, val):
-        self["locationssrc"] = val
-
-    # show
-    # ----
-    @property
-    def show(self):
-        """
-        Determines whether or not slice planes about the x dimension
-        are drawn.
-    
-        The 'show' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["show"]
-
-    @show.setter
-    def show(self, val):
-        self["show"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "volume.slices"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis x except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the x
-            dimension are drawn.
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        fill=None,
-        locations=None,
-        locationssrc=None,
-        show=None,
-        **kwargs
-    ):
-        """
-        Construct a new X object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.volume.slices.X`
-        fill
-            Sets the fill ratio of the `slices`. The default fill
-            value of the `slices` is 1 meaning that they are
-            entirely shaded. On the other hand Applying a `fill`
-            ratio less than one would allow the creation of
-            openings parallel to the edges.
-        locations
-            Specifies the location(s) of slices on the axis. When
-            not specified slices would be created for all points of
-            the axis x except start and end.
-        locationssrc
-            Sets the source reference on Chart Studio Cloud for
-            locations .
-        show
-            Determines whether or not slice planes about the x
-            dimension are drawn.
-
-        Returns
-        -------
-        X
-        """
-        super(X, self).__init__("x")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.volume.slices.X 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.volume.slices.X`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.volume.slices import x as v_x
-
-        # Initialize validators
-        # ---------------------
-        self._validators["fill"] = v_x.FillValidator()
-        self._validators["locations"] = v_x.LocationsValidator()
-        self._validators["locationssrc"] = v_x.LocationssrcValidator()
-        self._validators["show"] = v_x.ShowValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("fill", None)
-        self["fill"] = fill if fill is not None else _v
-        _v = arg.pop("locations", None)
-        self["locations"] = locations if locations is not None else _v
-        _v = arg.pop("locationssrc", None)
-        self["locationssrc"] = locationssrc if locationssrc is not None else _v
-        _v = arg.pop("show", None)
-        self["show"] = show if show is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["X", "Y", "Z"]
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import Z
+    from ._y import Y
+    from ._x import X
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.Z", "._y.Y", "._x.X"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/volume/slices/_x.py b/packages/python/plotly/plotly/graph_objs/volume/slices/_x.py
new file mode 100644
index 00000000000..d7d5c20d230
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/slices/_x.py
@@ -0,0 +1,213 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class X(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.slices"
+    _path_str = "volume.slices.x"
+    _valid_props = {"fill", "locations", "locationssrc", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the `slices` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Specifies the location(s) of slices on the axis. When not
+        specified slices would be created for all points of the axis x
+        except start and end.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not slice planes about the x dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis x except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the x
+            dimension are drawn.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fill=None,
+        locations=None,
+        locationssrc=None,
+        show=None,
+        **kwargs
+    ):
+        """
+        Construct a new X object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.slices.X`
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis x except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the x
+            dimension are drawn.
+
+        Returns
+        -------
+        X
+        """
+        super(X, self).__init__("x")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.slices.X 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.slices.X`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/slices/_y.py b/packages/python/plotly/plotly/graph_objs/volume/slices/_y.py
new file mode 100644
index 00000000000..f63a953f9f7
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/slices/_y.py
@@ -0,0 +1,213 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Y(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.slices"
+    _path_str = "volume.slices.y"
+    _valid_props = {"fill", "locations", "locationssrc", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the `slices` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Specifies the location(s) of slices on the axis. When not
+        specified slices would be created for all points of the axis y
+        except start and end.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not slice planes about the y dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis y except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the y
+            dimension are drawn.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fill=None,
+        locations=None,
+        locationssrc=None,
+        show=None,
+        **kwargs
+    ):
+        """
+        Construct a new Y object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.slices.Y`
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis y except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the y
+            dimension are drawn.
+
+        Returns
+        -------
+        Y
+        """
+        super(Y, self).__init__("y")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.slices.Y 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.slices.Y`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/volume/slices/_z.py b/packages/python/plotly/plotly/graph_objs/volume/slices/_z.py
new file mode 100644
index 00000000000..8679c88c641
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/volume/slices/_z.py
@@ -0,0 +1,213 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Z(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "volume.slices"
+    _path_str = "volume.slices.z"
+    _valid_props = {"fill", "locations", "locationssrc", "show"}
+
+    # fill
+    # ----
+    @property
+    def fill(self):
+        """
+        Sets the fill ratio of the `slices`. The default fill value of
+        the `slices` is 1 meaning that they are entirely shaded. On the
+        other hand Applying a `fill` ratio less than one would allow
+        the creation of openings parallel to the edges.
+    
+        The 'fill' property is a number and may be specified as:
+          - An int or float in the interval [0, 1]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["fill"]
+
+    @fill.setter
+    def fill(self, val):
+        self["fill"] = val
+
+    # locations
+    # ---------
+    @property
+    def locations(self):
+        """
+        Specifies the location(s) of slices on the axis. When not
+        specified slices would be created for all points of the axis z
+        except start and end.
+    
+        The 'locations' property is an array that may be specified as a tuple,
+        list, numpy array, or pandas Series
+
+        Returns
+        -------
+        numpy.ndarray
+        """
+        return self["locations"]
+
+    @locations.setter
+    def locations(self, val):
+        self["locations"] = val
+
+    # locationssrc
+    # ------------
+    @property
+    def locationssrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  locations
+        .
+    
+        The 'locationssrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["locationssrc"]
+
+    @locationssrc.setter
+    def locationssrc(self, val):
+        self["locationssrc"] = val
+
+    # show
+    # ----
+    @property
+    def show(self):
+        """
+        Determines whether or not slice planes about the z dimension
+        are drawn.
+    
+        The 'show' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["show"]
+
+    @show.setter
+    def show(self, val):
+        self["show"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis z except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the z
+            dimension are drawn.
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        fill=None,
+        locations=None,
+        locationssrc=None,
+        show=None,
+        **kwargs
+    ):
+        """
+        Construct a new Z object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.volume.slices.Z`
+        fill
+            Sets the fill ratio of the `slices`. The default fill
+            value of the `slices` is 1 meaning that they are
+            entirely shaded. On the other hand Applying a `fill`
+            ratio less than one would allow the creation of
+            openings parallel to the edges.
+        locations
+            Specifies the location(s) of slices on the axis. When
+            not specified slices would be created for all points of
+            the axis z except start and end.
+        locationssrc
+            Sets the source reference on Chart Studio Cloud for
+            locations .
+        show
+            Determines whether or not slice planes about the z
+            dimension are drawn.
+
+        Returns
+        -------
+        Z
+        """
+        super(Z, self).__init__("z")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.volume.slices.Z 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.volume.slices.Z`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("fill", None)
+        _v = fill if fill is not None else _v
+        if _v is not None:
+            self["fill"] = _v
+        _v = arg.pop("locations", None)
+        _v = locations if locations is not None else _v
+        if _v is not None:
+            self["locations"] = _v
+        _v = arg.pop("locationssrc", None)
+        _v = locationssrc if locationssrc is not None else _v
+        if _v is not None:
+            self["locationssrc"] = _v
+        _v = arg.pop("show", None)
+        _v = show if show is not None else _v
+        if _v is not None:
+            self["show"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/__init__.py
index b6e04187138..103a30abb40 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/__init__.py
@@ -1,2152 +1,35 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Totals(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.totals.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of all intermediate sums
-                    and total values.
-                line
-                    :class:`plotly.graph_objects.waterfall.totals.m
-                    arker.Line` instance or dict with compatible
-                    properties
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.totals.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.waterfall.totals.Marker`
-            instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Totals object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Totals`
-        marker
-            :class:`plotly.graph_objects.waterfall.totals.Marker`
-            instance or dict with compatible properties
-
-        Returns
-        -------
-        Totals
-        """
-        super(Totals, self).__init__("totals")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Totals 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Totals`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import totals as v_totals
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_totals.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Textfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Textfont object
-        
-        Sets the font used for `text`.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Textfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Textfont
-        """
-        super(Textfont, self).__init__("textfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Textfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Textfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import textfont as v_textfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_textfont.ColorValidator()
-        self._validators["colorsrc"] = v_textfont.ColorsrcValidator()
-        self._validators["family"] = v_textfont.FamilyValidator()
-        self._validators["familysrc"] = v_textfont.FamilysrcValidator()
-        self._validators["size"] = v_textfont.SizeValidator()
-        self._validators["sizesrc"] = v_textfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Stream(_BaseTraceHierarchyType):
-
-    # maxpoints
-    # ---------
-    @property
-    def maxpoints(self):
-        """
-        Sets the maximum number of points to keep on the plots from an
-        incoming stream. If `maxpoints` is set to 50, only the newest
-        50 points will be displayed on the plot.
-    
-        The 'maxpoints' property is a number and may be specified as:
-          - An int or float in the interval [0, 10000]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["maxpoints"]
-
-    @maxpoints.setter
-    def maxpoints(self, val):
-        self["maxpoints"] = val
-
-    # token
-    # -----
-    @property
-    def token(self):
-        """
-        The stream id number links a data trace on a plot with a
-        stream. See https://chart-studio.plotly.com/settings for more
-        details.
-    
-        The 'token' property is a string and must be specified as:
-          - A non-empty string
-
-        Returns
-        -------
-        str
-        """
-        return self["token"]
-
-    @token.setter
-    def token(self, val):
-        self["token"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-        """
-
-    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
-        """
-        Construct a new Stream object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Stream`
-        maxpoints
-            Sets the maximum number of points to keep on the plots
-            from an incoming stream. If `maxpoints` is set to 50,
-            only the newest 50 points will be displayed on the
-            plot.
-        token
-            The stream id number links a data trace on a plot with
-            a stream. See https://chart-studio.plotly.com/settings
-            for more details.
-
-        Returns
-        -------
-        Stream
-        """
-        super(Stream, self).__init__("stream")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Stream 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Stream`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import stream as v_stream
-
-        # Initialize validators
-        # ---------------------
-        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
-        self._validators["token"] = v_stream.TokenValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("maxpoints", None)
-        self["maxpoints"] = maxpoints if maxpoints is not None else _v
-        _v = arg.pop("token", None)
-        self["token"] = token if token is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Outsidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Outsidetextfont object
-        
-        Sets the font used for `text` lying outside the bar.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Outsidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Outsidetextfont
-        """
-        super(Outsidetextfont, self).__init__("outsidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Outsidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Outsidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import outsidetextfont as v_outsidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_outsidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_outsidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_outsidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_outsidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_outsidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_outsidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Insidetextfont(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Insidetextfont object
-        
-        Sets the font used for `text` lying inside the bar.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Insidetextfont`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Insidetextfont
-        """
-        super(Insidetextfont, self).__init__("insidetextfont")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Insidetextfont 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Insidetextfont`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import insidetextfont as v_insidetextfont
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_insidetextfont.ColorValidator()
-        self._validators["colorsrc"] = v_insidetextfont.ColorsrcValidator()
-        self._validators["family"] = v_insidetextfont.FamilyValidator()
-        self._validators["familysrc"] = v_insidetextfont.FamilysrcValidator()
-        self._validators["size"] = v_insidetextfont.SizeValidator()
-        self._validators["sizesrc"] = v_insidetextfont.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Increasing(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.increasing.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of all increasing values.
-                line
-                    :class:`plotly.graph_objects.waterfall.increasi
-                    ng.marker.Line` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.increasing.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.waterfall.increasing.Marke
-            r` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Increasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Increasing`
-        marker
-            :class:`plotly.graph_objects.waterfall.increasing.Marke
-            r` instance or dict with compatible properties
-
-        Returns
-        -------
-        Increasing
-        """
-        super(Increasing, self).__init__("increasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Increasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Increasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import increasing as v_increasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_increasing.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Hoverlabel(_BaseTraceHierarchyType):
-
-    # align
-    # -----
-    @property
-    def align(self):
-        """
-        Sets the horizontal alignment of the text content within hover
-        label box. Has an effect only if the hover label text spans
-        more two or more lines
-    
-        The 'align' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['left', 'right', 'auto']
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        Any|numpy.ndarray
-        """
-        return self["align"]
-
-    @align.setter
-    def align(self, val):
-        self["align"] = val
-
-    # alignsrc
-    # --------
-    @property
-    def alignsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  align .
-    
-        The 'alignsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["alignsrc"]
-
-    @alignsrc.setter
-    def alignsrc(self, val):
-        self["alignsrc"] = val
-
-    # bgcolor
-    # -------
-    @property
-    def bgcolor(self):
-        """
-        Sets the background color of the hover labels for this trace
-    
-        The 'bgcolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bgcolor"]
-
-    @bgcolor.setter
-    def bgcolor(self, val):
-        self["bgcolor"] = val
-
-    # bgcolorsrc
-    # ----------
-    @property
-    def bgcolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  bgcolor .
-    
-        The 'bgcolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bgcolorsrc"]
-
-    @bgcolorsrc.setter
-    def bgcolorsrc(self, val):
-        self["bgcolorsrc"] = val
-
-    # bordercolor
-    # -----------
-    @property
-    def bordercolor(self):
-        """
-        Sets the border color of the hover labels for this trace.
-    
-        The 'bordercolor' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["bordercolor"]
-
-    @bordercolor.setter
-    def bordercolor(self, val):
-        self["bordercolor"] = val
-
-    # bordercolorsrc
-    # --------------
-    @property
-    def bordercolorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for
-        bordercolor .
-    
-        The 'bordercolorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["bordercolorsrc"]
-
-    @bordercolorsrc.setter
-    def bordercolorsrc(self, val):
-        self["bordercolorsrc"] = val
-
-    # font
-    # ----
-    @property
-    def font(self):
-        """
-        Sets the font used in hover labels.
-    
-        The 'font' property is an instance of Font
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.hoverlabel.Font`
-          - A dict of string/value properties that will be passed
-            to the Font constructor
-    
-            Supported dict properties:
-                
-                color
-    
-                colorsrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  color .
-                family
-                    HTML font family - the typeface that will be
-                    applied by the web browser. The web browser
-                    will only be able to apply a font if it is
-                    available on the system which it operates.
-                    Provide multiple font families, separated by
-                    commas, to indicate the preference in which to
-                    apply fonts if they aren't available on the
-                    system. The Chart Studio Cloud (at
-                    https://chart-studio.plotly.com or on-premise)
-                    generates images on a server, where only a
-                    select number of fonts are installed and
-                    supported. These include "Arial", "Balto",
-                    "Courier New", "Droid Sans",, "Droid Serif",
-                    "Droid Sans Mono", "Gravitas One", "Old
-                    Standard TT", "Open Sans", "Overpass", "PT Sans
-                    Narrow", "Raleway", "Times New Roman".
-                familysrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  family .
-                size
-    
-                sizesrc
-                    Sets the source reference on Chart Studio Cloud
-                    for  size .
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.hoverlabel.Font
-        """
-        return self["font"]
-
-    @font.setter
-    def font(self, val):
-        self["font"] = val
-
-    # namelength
-    # ----------
-    @property
-    def namelength(self):
-        """
-        Sets the default length (in number of characters) of the trace
-        name in the hover labels for all traces. -1 shows the whole
-        name regardless of length. 0-3 shows the first 0-3 characters,
-        and an integer >3 will show the whole name if it is less than
-        that many characters, but if it is longer, will truncate to
-        `namelength - 3` characters and add an ellipsis.
-    
-        The 'namelength' property is a integer and may be specified as:
-          - An int (or float that will be cast to an int)
-            in the interval [-1, 9223372036854775807]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|numpy.ndarray
-        """
-        return self["namelength"]
-
-    @namelength.setter
-    def namelength(self, val):
-        self["namelength"] = val
-
-    # namelengthsrc
-    # -------------
-    @property
-    def namelengthsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  namelength
-        .
-    
-        The 'namelengthsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["namelengthsrc"]
-
-    @namelengthsrc.setter
-    def namelengthsrc(self, val):
-        self["namelengthsrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        align=None,
-        alignsrc=None,
-        bgcolor=None,
-        bgcolorsrc=None,
-        bordercolor=None,
-        bordercolorsrc=None,
-        font=None,
-        namelength=None,
-        namelengthsrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Hoverlabel object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Hoverlabel`
-        align
-            Sets the horizontal alignment of the text content
-            within hover label box. Has an effect only if the hover
-            label text spans more two or more lines
-        alignsrc
-            Sets the source reference on Chart Studio Cloud for
-            align .
-        bgcolor
-            Sets the background color of the hover labels for this
-            trace
-        bgcolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bgcolor .
-        bordercolor
-            Sets the border color of the hover labels for this
-            trace.
-        bordercolorsrc
-            Sets the source reference on Chart Studio Cloud for
-            bordercolor .
-        font
-            Sets the font used in hover labels.
-        namelength
-            Sets the default length (in number of characters) of
-            the trace name in the hover labels for all traces. -1
-            shows the whole name regardless of length. 0-3 shows
-            the first 0-3 characters, and an integer >3 will show
-            the whole name if it is less than that many characters,
-            but if it is longer, will truncate to `namelength - 3`
-            characters and add an ellipsis.
-        namelengthsrc
-            Sets the source reference on Chart Studio Cloud for
-            namelength .
-
-        Returns
-        -------
-        Hoverlabel
-        """
-        super(Hoverlabel, self).__init__("hoverlabel")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Hoverlabel 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Hoverlabel`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import hoverlabel as v_hoverlabel
-
-        # Initialize validators
-        # ---------------------
-        self._validators["align"] = v_hoverlabel.AlignValidator()
-        self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator()
-        self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator()
-        self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator()
-        self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator()
-        self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator()
-        self._validators["font"] = v_hoverlabel.FontValidator()
-        self._validators["namelength"] = v_hoverlabel.NamelengthValidator()
-        self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("align", None)
-        self["align"] = align if align is not None else _v
-        _v = arg.pop("alignsrc", None)
-        self["alignsrc"] = alignsrc if alignsrc is not None else _v
-        _v = arg.pop("bgcolor", None)
-        self["bgcolor"] = bgcolor if bgcolor is not None else _v
-        _v = arg.pop("bgcolorsrc", None)
-        self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v
-        _v = arg.pop("bordercolor", None)
-        self["bordercolor"] = bordercolor if bordercolor is not None else _v
-        _v = arg.pop("bordercolorsrc", None)
-        self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v
-        _v = arg.pop("font", None)
-        self["font"] = font if font is not None else _v
-        _v = arg.pop("namelength", None)
-        self["namelength"] = namelength if namelength is not None else _v
-        _v = arg.pop("namelengthsrc", None)
-        self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Decreasing(_BaseTraceHierarchyType):
-
-    # marker
-    # ------
-    @property
-    def marker(self):
-        """
-        The 'marker' property is an instance of Marker
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.decreasing.Marker`
-          - A dict of string/value properties that will be passed
-            to the Marker constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the marker color of all decreasing values.
-                line
-                    :class:`plotly.graph_objects.waterfall.decreasi
-                    ng.marker.Line` instance or dict with
-                    compatible properties
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.decreasing.Marker
-        """
-        return self["marker"]
-
-    @marker.setter
-    def marker(self, val):
-        self["marker"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        marker
-            :class:`plotly.graph_objects.waterfall.decreasing.Marke
-            r` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, marker=None, **kwargs):
-        """
-        Construct a new Decreasing object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Decreasing`
-        marker
-            :class:`plotly.graph_objects.waterfall.decreasing.Marke
-            r` instance or dict with compatible properties
-
-        Returns
-        -------
-        Decreasing
-        """
-        super(Decreasing, self).__init__("decreasing")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Decreasing 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Decreasing`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import decreasing as v_decreasing
-
-        # Initialize validators
-        # ---------------------
-        self._validators["marker"] = v_decreasing.MarkerValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("marker", None)
-        self["marker"] = marker if marker is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
-
-
-class Connector(_BaseTraceHierarchyType):
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.connector.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color.
-                dash
-                    Sets the dash style of lines. Set to a dash
-                    type string ("solid", "dot", "dash",
-                    "longdash", "dashdot", or "longdashdot") or a
-                    dash length list in px (eg "5px,10px,2px,2px").
-                width
-                    Sets the line width (in px).
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.connector.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # mode
-    # ----
-    @property
-    def mode(self):
-        """
-        Sets the shape of connector lines.
-    
-        The 'mode' property is an enumeration that may be specified as:
-          - One of the following enumeration values:
-                ['spanning', 'between']
-
-        Returns
-        -------
-        Any
-        """
-        return self["mode"]
-
-    @mode.setter
-    def mode(self, val):
-        self["mode"] = val
-
-    # visible
-    # -------
-    @property
-    def visible(self):
-        """
-        Determines if connector lines are drawn.
-    
-        The 'visible' property must be specified as a bool
-        (either True, or False)
-
-        Returns
-        -------
-        bool
-        """
-        return self["visible"]
-
-    @visible.setter
-    def visible(self, val):
-        self["visible"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        line
-            :class:`plotly.graph_objects.waterfall.connector.Line`
-            instance or dict with compatible properties
-        mode
-            Sets the shape of connector lines.
-        visible
-            Determines if connector lines are drawn.
-        """
-
-    def __init__(self, arg=None, line=None, mode=None, visible=None, **kwargs):
-        """
-        Construct a new Connector object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.Connector`
-        line
-            :class:`plotly.graph_objects.waterfall.connector.Line`
-            instance or dict with compatible properties
-        mode
-            Sets the shape of connector lines.
-        visible
-            Determines if connector lines are drawn.
-
-        Returns
-        -------
-        Connector
-        """
-        super(Connector, self).__init__("connector")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.Connector 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.Connector`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall import connector as v_connector
-
-        # Initialize validators
-        # ---------------------
-        self._validators["line"] = v_connector.LineValidator()
-        self._validators["mode"] = v_connector.ModeValidator()
-        self._validators["visible"] = v_connector.VisibleValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-        _v = arg.pop("mode", None)
-        self["mode"] = mode if mode is not None else _v
-        _v = arg.pop("visible", None)
-        self["visible"] = visible if visible is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = [
-    "Connector",
-    "Decreasing",
-    "Hoverlabel",
-    "Increasing",
-    "Insidetextfont",
-    "Outsidetextfont",
-    "Stream",
-    "Textfont",
-    "Totals",
-    "connector",
-    "decreasing",
-    "hoverlabel",
-    "increasing",
-    "totals",
-]
-
-from plotly.graph_objs.waterfall import totals
-from plotly.graph_objs.waterfall import increasing
-from plotly.graph_objs.waterfall import hoverlabel
-from plotly.graph_objs.waterfall import decreasing
-from plotly.graph_objs.waterfall import connector
+import sys
+
+if sys.version_info < (3, 7):
+    from ._totals import Totals
+    from ._textfont import Textfont
+    from ._stream import Stream
+    from ._outsidetextfont import Outsidetextfont
+    from ._insidetextfont import Insidetextfont
+    from ._increasing import Increasing
+    from ._hoverlabel import Hoverlabel
+    from ._decreasing import Decreasing
+    from ._connector import Connector
+    from . import totals
+    from . import increasing
+    from . import hoverlabel
+    from . import decreasing
+    from . import connector
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".totals", ".increasing", ".hoverlabel", ".decreasing", ".connector"],
+        [
+            "._totals.Totals",
+            "._textfont.Textfont",
+            "._stream.Stream",
+            "._outsidetextfont.Outsidetextfont",
+            "._insidetextfont.Insidetextfont",
+            "._increasing.Increasing",
+            "._hoverlabel.Hoverlabel",
+            "._decreasing.Decreasing",
+            "._connector.Connector",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_connector.py b/packages/python/plotly/plotly/graph_objs/waterfall/_connector.py
new file mode 100644
index 00000000000..c5015e1a670
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_connector.py
@@ -0,0 +1,170 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Connector(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.connector"
+    _valid_props = {"line", "mode", "visible"}
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.connector.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color.
+                dash
+                    Sets the dash style of lines. Set to a dash
+                    type string ("solid", "dot", "dash",
+                    "longdash", "dashdot", or "longdashdot") or a
+                    dash length list in px (eg "5px,10px,2px,2px").
+                width
+                    Sets the line width (in px).
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.connector.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # mode
+    # ----
+    @property
+    def mode(self):
+        """
+        Sets the shape of connector lines.
+    
+        The 'mode' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['spanning', 'between']
+
+        Returns
+        -------
+        Any
+        """
+        return self["mode"]
+
+    @mode.setter
+    def mode(self, val):
+        self["mode"] = val
+
+    # visible
+    # -------
+    @property
+    def visible(self):
+        """
+        Determines if connector lines are drawn.
+    
+        The 'visible' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["visible"]
+
+    @visible.setter
+    def visible(self, val):
+        self["visible"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        line
+            :class:`plotly.graph_objects.waterfall.connector.Line`
+            instance or dict with compatible properties
+        mode
+            Sets the shape of connector lines.
+        visible
+            Determines if connector lines are drawn.
+        """
+
+    def __init__(self, arg=None, line=None, mode=None, visible=None, **kwargs):
+        """
+        Construct a new Connector object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Connector`
+        line
+            :class:`plotly.graph_objects.waterfall.connector.Line`
+            instance or dict with compatible properties
+        mode
+            Sets the shape of connector lines.
+        visible
+            Determines if connector lines are drawn.
+
+        Returns
+        -------
+        Connector
+        """
+        super(Connector, self).__init__("connector")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Connector 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Connector`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+        _v = arg.pop("mode", None)
+        _v = mode if mode is not None else _v
+        if _v is not None:
+            self["mode"] = _v
+        _v = arg.pop("visible", None)
+        _v = visible if visible is not None else _v
+        if _v is not None:
+            self["visible"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_decreasing.py b/packages/python/plotly/plotly/graph_objs/waterfall/_decreasing.py
new file mode 100644
index 00000000000..296266ca8ab
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_decreasing.py
@@ -0,0 +1,110 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Decreasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.decreasing"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.decreasing.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of all decreasing values.
+                line
+                    :class:`plotly.graph_objects.waterfall.decreasi
+                    ng.marker.Line` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.decreasing.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.waterfall.decreasing.Marke
+            r` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Decreasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Decreasing`
+        marker
+            :class:`plotly.graph_objects.waterfall.decreasing.Marke
+            r` instance or dict with compatible properties
+
+        Returns
+        -------
+        Decreasing
+        """
+        super(Decreasing, self).__init__("decreasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Decreasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Decreasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_hoverlabel.py b/packages/python/plotly/plotly/graph_objs/waterfall/_hoverlabel.py
new file mode 100644
index 00000000000..c505cc9866c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_hoverlabel.py
@@ -0,0 +1,502 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Hoverlabel(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.hoverlabel"
+    _valid_props = {
+        "align",
+        "alignsrc",
+        "bgcolor",
+        "bgcolorsrc",
+        "bordercolor",
+        "bordercolorsrc",
+        "font",
+        "namelength",
+        "namelengthsrc",
+    }
+
+    # align
+    # -----
+    @property
+    def align(self):
+        """
+        Sets the horizontal alignment of the text content within hover
+        label box. Has an effect only if the hover label text spans
+        more two or more lines
+    
+        The 'align' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['left', 'right', 'auto']
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        Any|numpy.ndarray
+        """
+        return self["align"]
+
+    @align.setter
+    def align(self, val):
+        self["align"] = val
+
+    # alignsrc
+    # --------
+    @property
+    def alignsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  align .
+    
+        The 'alignsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["alignsrc"]
+
+    @alignsrc.setter
+    def alignsrc(self, val):
+        self["alignsrc"] = val
+
+    # bgcolor
+    # -------
+    @property
+    def bgcolor(self):
+        """
+        Sets the background color of the hover labels for this trace
+    
+        The 'bgcolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bgcolor"]
+
+    @bgcolor.setter
+    def bgcolor(self, val):
+        self["bgcolor"] = val
+
+    # bgcolorsrc
+    # ----------
+    @property
+    def bgcolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  bgcolor .
+    
+        The 'bgcolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bgcolorsrc"]
+
+    @bgcolorsrc.setter
+    def bgcolorsrc(self, val):
+        self["bgcolorsrc"] = val
+
+    # bordercolor
+    # -----------
+    @property
+    def bordercolor(self):
+        """
+        Sets the border color of the hover labels for this trace.
+    
+        The 'bordercolor' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["bordercolor"]
+
+    @bordercolor.setter
+    def bordercolor(self, val):
+        self["bordercolor"] = val
+
+    # bordercolorsrc
+    # --------------
+    @property
+    def bordercolorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for
+        bordercolor .
+    
+        The 'bordercolorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["bordercolorsrc"]
+
+    @bordercolorsrc.setter
+    def bordercolorsrc(self, val):
+        self["bordercolorsrc"] = val
+
+    # font
+    # ----
+    @property
+    def font(self):
+        """
+        Sets the font used in hover labels.
+    
+        The 'font' property is an instance of Font
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.hoverlabel.Font`
+          - A dict of string/value properties that will be passed
+            to the Font constructor
+    
+            Supported dict properties:
+                
+                color
+    
+                colorsrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  color .
+                family
+                    HTML font family - the typeface that will be
+                    applied by the web browser. The web browser
+                    will only be able to apply a font if it is
+                    available on the system which it operates.
+                    Provide multiple font families, separated by
+                    commas, to indicate the preference in which to
+                    apply fonts if they aren't available on the
+                    system. The Chart Studio Cloud (at
+                    https://chart-studio.plotly.com or on-premise)
+                    generates images on a server, where only a
+                    select number of fonts are installed and
+                    supported. These include "Arial", "Balto",
+                    "Courier New", "Droid Sans",, "Droid Serif",
+                    "Droid Sans Mono", "Gravitas One", "Old
+                    Standard TT", "Open Sans", "Overpass", "PT Sans
+                    Narrow", "Raleway", "Times New Roman".
+                familysrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  family .
+                size
+    
+                sizesrc
+                    Sets the source reference on Chart Studio Cloud
+                    for  size .
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.hoverlabel.Font
+        """
+        return self["font"]
+
+    @font.setter
+    def font(self, val):
+        self["font"] = val
+
+    # namelength
+    # ----------
+    @property
+    def namelength(self):
+        """
+        Sets the default length (in number of characters) of the trace
+        name in the hover labels for all traces. -1 shows the whole
+        name regardless of length. 0-3 shows the first 0-3 characters,
+        and an integer >3 will show the whole name if it is less than
+        that many characters, but if it is longer, will truncate to
+        `namelength - 3` characters and add an ellipsis.
+    
+        The 'namelength' property is a integer and may be specified as:
+          - An int (or float that will be cast to an int)
+            in the interval [-1, 9223372036854775807]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|numpy.ndarray
+        """
+        return self["namelength"]
+
+    @namelength.setter
+    def namelength(self, val):
+        self["namelength"] = val
+
+    # namelengthsrc
+    # -------------
+    @property
+    def namelengthsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  namelength
+        .
+    
+        The 'namelengthsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["namelengthsrc"]
+
+    @namelengthsrc.setter
+    def namelengthsrc(self, val):
+        self["namelengthsrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        align=None,
+        alignsrc=None,
+        bgcolor=None,
+        bgcolorsrc=None,
+        bordercolor=None,
+        bordercolorsrc=None,
+        font=None,
+        namelength=None,
+        namelengthsrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Hoverlabel object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Hoverlabel`
+        align
+            Sets the horizontal alignment of the text content
+            within hover label box. Has an effect only if the hover
+            label text spans more two or more lines
+        alignsrc
+            Sets the source reference on Chart Studio Cloud for
+            align .
+        bgcolor
+            Sets the background color of the hover labels for this
+            trace
+        bgcolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bgcolor .
+        bordercolor
+            Sets the border color of the hover labels for this
+            trace.
+        bordercolorsrc
+            Sets the source reference on Chart Studio Cloud for
+            bordercolor .
+        font
+            Sets the font used in hover labels.
+        namelength
+            Sets the default length (in number of characters) of
+            the trace name in the hover labels for all traces. -1
+            shows the whole name regardless of length. 0-3 shows
+            the first 0-3 characters, and an integer >3 will show
+            the whole name if it is less than that many characters,
+            but if it is longer, will truncate to `namelength - 3`
+            characters and add an ellipsis.
+        namelengthsrc
+            Sets the source reference on Chart Studio Cloud for
+            namelength .
+
+        Returns
+        -------
+        Hoverlabel
+        """
+        super(Hoverlabel, self).__init__("hoverlabel")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Hoverlabel 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Hoverlabel`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("align", None)
+        _v = align if align is not None else _v
+        if _v is not None:
+            self["align"] = _v
+        _v = arg.pop("alignsrc", None)
+        _v = alignsrc if alignsrc is not None else _v
+        if _v is not None:
+            self["alignsrc"] = _v
+        _v = arg.pop("bgcolor", None)
+        _v = bgcolor if bgcolor is not None else _v
+        if _v is not None:
+            self["bgcolor"] = _v
+        _v = arg.pop("bgcolorsrc", None)
+        _v = bgcolorsrc if bgcolorsrc is not None else _v
+        if _v is not None:
+            self["bgcolorsrc"] = _v
+        _v = arg.pop("bordercolor", None)
+        _v = bordercolor if bordercolor is not None else _v
+        if _v is not None:
+            self["bordercolor"] = _v
+        _v = arg.pop("bordercolorsrc", None)
+        _v = bordercolorsrc if bordercolorsrc is not None else _v
+        if _v is not None:
+            self["bordercolorsrc"] = _v
+        _v = arg.pop("font", None)
+        _v = font if font is not None else _v
+        if _v is not None:
+            self["font"] = _v
+        _v = arg.pop("namelength", None)
+        _v = namelength if namelength is not None else _v
+        if _v is not None:
+            self["namelength"] = _v
+        _v = arg.pop("namelengthsrc", None)
+        _v = namelengthsrc if namelengthsrc is not None else _v
+        if _v is not None:
+            self["namelengthsrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_increasing.py b/packages/python/plotly/plotly/graph_objs/waterfall/_increasing.py
new file mode 100644
index 00000000000..d3b5d2cdc9c
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_increasing.py
@@ -0,0 +1,110 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Increasing(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.increasing"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.increasing.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of all increasing values.
+                line
+                    :class:`plotly.graph_objects.waterfall.increasi
+                    ng.marker.Line` instance or dict with
+                    compatible properties
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.increasing.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.waterfall.increasing.Marke
+            r` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Increasing object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Increasing`
+        marker
+            :class:`plotly.graph_objects.waterfall.increasing.Marke
+            r` instance or dict with compatible properties
+
+        Returns
+        -------
+        Increasing
+        """
+        super(Increasing, self).__init__("increasing")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Increasing 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Increasing`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_insidetextfont.py b/packages/python/plotly/plotly/graph_objs/waterfall/_insidetextfont.py
new file mode 100644
index 00000000000..d138694e3c6
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_insidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Insidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.insidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Insidetextfont object
+        
+        Sets the font used for `text` lying inside the bar.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Insidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Insidetextfont
+        """
+        super(Insidetextfont, self).__init__("insidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Insidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Insidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_outsidetextfont.py b/packages/python/plotly/plotly/graph_objs/waterfall/_outsidetextfont.py
new file mode 100644
index 00000000000..69e561baa04
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_outsidetextfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Outsidetextfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.outsidetextfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Outsidetextfont object
+        
+        Sets the font used for `text` lying outside the bar.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Outsidetextfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Outsidetextfont
+        """
+        super(Outsidetextfont, self).__init__("outsidetextfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Outsidetextfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Outsidetextfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_stream.py b/packages/python/plotly/plotly/graph_objs/waterfall/_stream.py
new file mode 100644
index 00000000000..5d46d2573ab
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_stream.py
@@ -0,0 +1,140 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Stream(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.stream"
+    _valid_props = {"maxpoints", "token"}
+
+    # maxpoints
+    # ---------
+    @property
+    def maxpoints(self):
+        """
+        Sets the maximum number of points to keep on the plots from an
+        incoming stream. If `maxpoints` is set to 50, only the newest
+        50 points will be displayed on the plot.
+    
+        The 'maxpoints' property is a number and may be specified as:
+          - An int or float in the interval [0, 10000]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["maxpoints"]
+
+    @maxpoints.setter
+    def maxpoints(self, val):
+        self["maxpoints"] = val
+
+    # token
+    # -----
+    @property
+    def token(self):
+        """
+        The stream id number links a data trace on a plot with a
+        stream. See https://chart-studio.plotly.com/settings for more
+        details.
+    
+        The 'token' property is a string and must be specified as:
+          - A non-empty string
+
+        Returns
+        -------
+        str
+        """
+        return self["token"]
+
+    @token.setter
+    def token(self, val):
+        self["token"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+        """
+
+    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
+        """
+        Construct a new Stream object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Stream`
+        maxpoints
+            Sets the maximum number of points to keep on the plots
+            from an incoming stream. If `maxpoints` is set to 50,
+            only the newest 50 points will be displayed on the
+            plot.
+        token
+            The stream id number links a data trace on a plot with
+            a stream. See https://chart-studio.plotly.com/settings
+            for more details.
+
+        Returns
+        -------
+        Stream
+        """
+        super(Stream, self).__init__("stream")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Stream 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Stream`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("maxpoints", None)
+        _v = maxpoints if maxpoints is not None else _v
+        if _v is not None:
+            self["maxpoints"] = _v
+        _v = arg.pop("token", None)
+        _v = token if token is not None else _v
+        if _v is not None:
+            self["token"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_textfont.py b/packages/python/plotly/plotly/graph_objs/waterfall/_textfont.py
new file mode 100644
index 00000000000..b7937e12d47
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_textfont.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Textfont(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.textfont"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Textfont object
+        
+        Sets the font used for `text`.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Textfont`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Textfont
+        """
+        super(Textfont, self).__init__("textfont")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Textfont 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Textfont`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/_totals.py b/packages/python/plotly/plotly/graph_objs/waterfall/_totals.py
new file mode 100644
index 00000000000..33a1414709b
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/_totals.py
@@ -0,0 +1,111 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Totals(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall"
+    _path_str = "waterfall.totals"
+    _valid_props = {"marker"}
+
+    # marker
+    # ------
+    @property
+    def marker(self):
+        """
+        The 'marker' property is an instance of Marker
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.totals.Marker`
+          - A dict of string/value properties that will be passed
+            to the Marker constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the marker color of all intermediate sums
+                    and total values.
+                line
+                    :class:`plotly.graph_objects.waterfall.totals.m
+                    arker.Line` instance or dict with compatible
+                    properties
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.totals.Marker
+        """
+        return self["marker"]
+
+    @marker.setter
+    def marker(self, val):
+        self["marker"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        marker
+            :class:`plotly.graph_objects.waterfall.totals.Marker`
+            instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, marker=None, **kwargs):
+        """
+        Construct a new Totals object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.Totals`
+        marker
+            :class:`plotly.graph_objects.waterfall.totals.Marker`
+            instance or dict with compatible properties
+
+        Returns
+        -------
+        Totals
+        """
+        super(Totals, self).__init__("totals")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.Totals 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.Totals`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("marker", None)
+        _v = marker if marker is not None else _v
+        if _v is not None:
+            self["marker"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/connector/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/connector/__init__.py
index e01341a52d1..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/connector/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/connector/__init__.py
@@ -1,208 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # dash
-    # ----
-    @property
-    def dash(self):
-        """
-        Sets the dash style of lines. Set to a dash type string
-        ("solid", "dot", "dash", "longdash", "dashdot", or
-        "longdashdot") or a dash length list in px (eg
-        "5px,10px,2px,2px").
-    
-        The 'dash' property is a string and must be specified as:
-          - One of the following strings:
-                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
-                'longdashdot']
-          - A number that will be converted to a string
-
-        Returns
-        -------
-        str
-        """
-        return self["dash"]
-
-    @dash.setter
-    def dash(self, val):
-        self["dash"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width (in px).
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.connector"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-        """
-
-    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.connector.Line`
-        color
-            Sets the line color.
-        dash
-            Sets the dash style of lines. Set to a dash type string
-            ("solid", "dot", "dash", "longdash", "dashdot", or
-            "longdashdot") or a dash length list in px (eg
-            "5px,10px,2px,2px").
-        width
-            Sets the line width (in px).
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.connector.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.connector.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.connector import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["dash"] = v_line.DashValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("dash", None)
-        self["dash"] = dash if dash is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/connector/_line.py b/packages/python/plotly/plotly/graph_objs/waterfall/connector/_line.py
new file mode 100644
index 00000000000..d1fa4a3a3ec
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/connector/_line.py
@@ -0,0 +1,205 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.connector"
+    _path_str = "waterfall.connector.line"
+    _valid_props = {"color", "dash", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # dash
+    # ----
+    @property
+    def dash(self):
+        """
+        Sets the dash style of lines. Set to a dash type string
+        ("solid", "dot", "dash", "longdash", "dashdot", or
+        "longdashdot") or a dash length list in px (eg
+        "5px,10px,2px,2px").
+    
+        The 'dash' property is a string and must be specified as:
+          - One of the following strings:
+                ['solid', 'dot', 'dash', 'longdash', 'dashdot',
+                'longdashdot']
+          - A number that will be converted to a string
+
+        Returns
+        -------
+        str
+        """
+        return self["dash"]
+
+    @dash.setter
+    def dash(self, val):
+        self["dash"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width (in px).
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+        """
+
+    def __init__(self, arg=None, color=None, dash=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.connector.Line`
+        color
+            Sets the line color.
+        dash
+            Sets the dash style of lines. Set to a dash type string
+            ("solid", "dot", "dash", "longdash", "dashdot", or
+            "longdashdot") or a dash length list in px (eg
+            "5px,10px,2px,2px").
+        width
+            Sets the line width (in px).
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.connector.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.connector.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("dash", None)
+        _v = dash if dash is not None else _v
+        if _v is not None:
+            self["dash"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/__init__.py
index 733d5079b0a..872e6e009da 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/__init__.py
@@ -1,181 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+    from . import marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of all decreasing values.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.decreasing.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color of all decreasing values.
-                width
-                    Sets the line width of all decreasing values.
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.decreasing.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.decreasing"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of all decreasing values.
-        line
-            :class:`plotly.graph_objects.waterfall.decreasing.marke
-            r.Line` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, color=None, line=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.decreasing.Marker`
-        color
-            Sets the marker color of all decreasing values.
-        line
-            :class:`plotly.graph_objects.waterfall.decreasing.marke
-            r.Line` instance or dict with compatible properties
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.decreasing.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.decreasing.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.decreasing import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["line"] = v_marker.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "marker"]
-
-from plotly.graph_objs.waterfall.decreasing import marker
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".marker"], ["._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/_marker.py b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/_marker.py
new file mode 100644
index 00000000000..54b1f6c2d74
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/_marker.py
@@ -0,0 +1,175 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.decreasing"
+    _path_str = "waterfall.decreasing.marker"
+    _valid_props = {"color", "line"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of all decreasing values.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.decreasing.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color of all decreasing values.
+                width
+                    Sets the line width of all decreasing values.
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.decreasing.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of all decreasing values.
+        line
+            :class:`plotly.graph_objects.waterfall.decreasing.marke
+            r.Line` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, color=None, line=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.decreasing.Marker`
+        color
+            Sets the marker color of all decreasing values.
+        line
+            :class:`plotly.graph_objects.waterfall.decreasing.marke
+            r.Line` instance or dict with compatible properties
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.decreasing.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.decreasing.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/__init__.py
index 751facc434c..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/__init__.py
@@ -1,169 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color of all decreasing values.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width of all decreasing values.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.decreasing.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color of all decreasing values.
-        width
-            Sets the line width of all decreasing values.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.waterfall.decr
-            easing.marker.Line`
-        color
-            Sets the line color of all decreasing values.
-        width
-            Sets the line width of all decreasing values.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.decreasing.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.decreasing.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.decreasing.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/_line.py b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/_line.py
new file mode 100644
index 00000000000..d90a0887269
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/decreasing/marker/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.decreasing.marker"
+    _path_str = "waterfall.decreasing.marker.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color of all decreasing values.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width of all decreasing values.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color of all decreasing values.
+        width
+            Sets the line width of all decreasing values.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.waterfall.decr
+            easing.marker.Line`
+        color
+            Sets the line color of all decreasing values.
+        width
+            Sets the line width of all decreasing values.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.decreasing.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.decreasing.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/__init__.py
index 6bd43cb86f3..5830914f97e 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/__init__.py
@@ -1,329 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._font import Font
+else:
+    from _plotly_utils.importers import relative_import
 
-class Font(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-          - A list or array of any of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # colorsrc
-    # --------
-    @property
-    def colorsrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  color .
-    
-        The 'colorsrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["colorsrc"]
-
-    @colorsrc.setter
-    def colorsrc(self, val):
-        self["colorsrc"] = val
-
-    # family
-    # ------
-    @property
-    def family(self):
-        """
-        HTML font family - the typeface that will be applied by the web
-        browser. The web browser will only be able to apply a font if
-        it is available on the system which it operates. Provide
-        multiple font families, separated by commas, to indicate the
-        preference in which to apply fonts if they aren't available on
-        the system. The Chart Studio Cloud (at https://chart-
-        studio.plotly.com or on-premise) generates images on a server,
-        where only a select number of fonts are installed and
-        supported. These include "Arial", "Balto", "Courier New",
-        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
-        Narrow", "Raleway", "Times New Roman".
-    
-        The 'family' property is a string and must be specified as:
-          - A non-empty string
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        str|numpy.ndarray
-        """
-        return self["family"]
-
-    @family.setter
-    def family(self, val):
-        self["family"] = val
-
-    # familysrc
-    # ---------
-    @property
-    def familysrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  family .
-    
-        The 'familysrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["familysrc"]
-
-    @familysrc.setter
-    def familysrc(self, val):
-        self["familysrc"] = val
-
-    # size
-    # ----
-    @property
-    def size(self):
-        """
-        The 'size' property is a number and may be specified as:
-          - An int or float in the interval [1, inf]
-          - A tuple, list, or one-dimensional numpy array of the above
-
-        Returns
-        -------
-        int|float|numpy.ndarray
-        """
-        return self["size"]
-
-    @size.setter
-    def size(self, val):
-        self["size"] = val
-
-    # sizesrc
-    # -------
-    @property
-    def sizesrc(self):
-        """
-        Sets the source reference on Chart Studio Cloud for  size .
-    
-        The 'sizesrc' property must be specified as a string or
-        as a plotly.grid_objs.Column object
-
-        Returns
-        -------
-        str
-        """
-        return self["sizesrc"]
-
-    @sizesrc.setter
-    def sizesrc(self, val):
-        self["sizesrc"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.hoverlabel"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-        """
-
-    def __init__(
-        self,
-        arg=None,
-        color=None,
-        colorsrc=None,
-        family=None,
-        familysrc=None,
-        size=None,
-        sizesrc=None,
-        **kwargs
-    ):
-        """
-        Construct a new Font object
-        
-        Sets the font used in hover labels.
-
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.hoverlabel.Font`
-        color
-
-        colorsrc
-            Sets the source reference on Chart Studio Cloud for
-            color .
-        family
-            HTML font family - the typeface that will be applied by
-            the web browser. The web browser will only be able to
-            apply a font if it is available on the system which it
-            operates. Provide multiple font families, separated by
-            commas, to indicate the preference in which to apply
-            fonts if they aren't available on the system. The Chart
-            Studio Cloud (at https://chart-studio.plotly.com or on-
-            premise) generates images on a server, where only a
-            select number of fonts are installed and supported.
-            These include "Arial", "Balto", "Courier New", "Droid
-            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
-            One", "Old Standard TT", "Open Sans", "Overpass", "PT
-            Sans Narrow", "Raleway", "Times New Roman".
-        familysrc
-            Sets the source reference on Chart Studio Cloud for
-            family .
-        size
-
-        sizesrc
-            Sets the source reference on Chart Studio Cloud for
-            size .
-
-        Returns
-        -------
-        Font
-        """
-        super(Font, self).__init__("font")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.hoverlabel.Font 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.hoverlabel.Font`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.hoverlabel import font as v_font
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_font.ColorValidator()
-        self._validators["colorsrc"] = v_font.ColorsrcValidator()
-        self._validators["family"] = v_font.FamilyValidator()
-        self._validators["familysrc"] = v_font.FamilysrcValidator()
-        self._validators["size"] = v_font.SizeValidator()
-        self._validators["sizesrc"] = v_font.SizesrcValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("colorsrc", None)
-        self["colorsrc"] = colorsrc if colorsrc is not None else _v
-        _v = arg.pop("family", None)
-        self["family"] = family if family is not None else _v
-        _v = arg.pop("familysrc", None)
-        self["familysrc"] = familysrc if familysrc is not None else _v
-        _v = arg.pop("size", None)
-        self["size"] = size if size is not None else _v
-        _v = arg.pop("sizesrc", None)
-        self["sizesrc"] = sizesrc if sizesrc is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Font"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/_font.py b/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/_font.py
new file mode 100644
index 00000000000..63c0e9ab53d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/hoverlabel/_font.py
@@ -0,0 +1,329 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Font(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.hoverlabel"
+    _path_str = "waterfall.hoverlabel.font"
+    _valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+          - A list or array of any of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # colorsrc
+    # --------
+    @property
+    def colorsrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  color .
+    
+        The 'colorsrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["colorsrc"]
+
+    @colorsrc.setter
+    def colorsrc(self, val):
+        self["colorsrc"] = val
+
+    # family
+    # ------
+    @property
+    def family(self):
+        """
+        HTML font family - the typeface that will be applied by the web
+        browser. The web browser will only be able to apply a font if
+        it is available on the system which it operates. Provide
+        multiple font families, separated by commas, to indicate the
+        preference in which to apply fonts if they aren't available on
+        the system. The Chart Studio Cloud (at https://chart-
+        studio.plotly.com or on-premise) generates images on a server,
+        where only a select number of fonts are installed and
+        supported. These include "Arial", "Balto", "Courier New",
+        "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+        One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans
+        Narrow", "Raleway", "Times New Roman".
+    
+        The 'family' property is a string and must be specified as:
+          - A non-empty string
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        str|numpy.ndarray
+        """
+        return self["family"]
+
+    @family.setter
+    def family(self, val):
+        self["family"] = val
+
+    # familysrc
+    # ---------
+    @property
+    def familysrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  family .
+    
+        The 'familysrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["familysrc"]
+
+    @familysrc.setter
+    def familysrc(self, val):
+        self["familysrc"] = val
+
+    # size
+    # ----
+    @property
+    def size(self):
+        """
+        The 'size' property is a number and may be specified as:
+          - An int or float in the interval [1, inf]
+          - A tuple, list, or one-dimensional numpy array of the above
+
+        Returns
+        -------
+        int|float|numpy.ndarray
+        """
+        return self["size"]
+
+    @size.setter
+    def size(self, val):
+        self["size"] = val
+
+    # sizesrc
+    # -------
+    @property
+    def sizesrc(self):
+        """
+        Sets the source reference on Chart Studio Cloud for  size .
+    
+        The 'sizesrc' property must be specified as a string or
+        as a plotly.grid_objs.Column object
+
+        Returns
+        -------
+        str
+        """
+        return self["sizesrc"]
+
+    @sizesrc.setter
+    def sizesrc(self, val):
+        self["sizesrc"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+        """
+
+    def __init__(
+        self,
+        arg=None,
+        color=None,
+        colorsrc=None,
+        family=None,
+        familysrc=None,
+        size=None,
+        sizesrc=None,
+        **kwargs
+    ):
+        """
+        Construct a new Font object
+        
+        Sets the font used in hover labels.
+
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.hoverlabel.Font`
+        color
+
+        colorsrc
+            Sets the source reference on Chart Studio Cloud for
+            color .
+        family
+            HTML font family - the typeface that will be applied by
+            the web browser. The web browser will only be able to
+            apply a font if it is available on the system which it
+            operates. Provide multiple font families, separated by
+            commas, to indicate the preference in which to apply
+            fonts if they aren't available on the system. The Chart
+            Studio Cloud (at https://chart-studio.plotly.com or on-
+            premise) generates images on a server, where only a
+            select number of fonts are installed and supported.
+            These include "Arial", "Balto", "Courier New", "Droid
+            Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas
+            One", "Old Standard TT", "Open Sans", "Overpass", "PT
+            Sans Narrow", "Raleway", "Times New Roman".
+        familysrc
+            Sets the source reference on Chart Studio Cloud for
+            family .
+        size
+
+        sizesrc
+            Sets the source reference on Chart Studio Cloud for
+            size .
+
+        Returns
+        -------
+        Font
+        """
+        super(Font, self).__init__("font")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.hoverlabel.Font 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.hoverlabel.Font`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("colorsrc", None)
+        _v = colorsrc if colorsrc is not None else _v
+        if _v is not None:
+            self["colorsrc"] = _v
+        _v = arg.pop("family", None)
+        _v = family if family is not None else _v
+        if _v is not None:
+            self["family"] = _v
+        _v = arg.pop("familysrc", None)
+        _v = familysrc if familysrc is not None else _v
+        if _v is not None:
+            self["familysrc"] = _v
+        _v = arg.pop("size", None)
+        _v = size if size is not None else _v
+        if _v is not None:
+            self["size"] = _v
+        _v = arg.pop("sizesrc", None)
+        _v = sizesrc if sizesrc is not None else _v
+        if _v is not None:
+            self["sizesrc"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/increasing/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/__init__.py
index 62ffd786c78..872e6e009da 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/increasing/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/__init__.py
@@ -1,181 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+    from . import marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of all increasing values.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.increasing.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color of all increasing values.
-                width
-                    Sets the line width of all increasing values.
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.increasing.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.increasing"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of all increasing values.
-        line
-            :class:`plotly.graph_objects.waterfall.increasing.marke
-            r.Line` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, color=None, line=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.increasing.Marker`
-        color
-            Sets the marker color of all increasing values.
-        line
-            :class:`plotly.graph_objects.waterfall.increasing.marke
-            r.Line` instance or dict with compatible properties
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.increasing.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.increasing.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.increasing import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["line"] = v_marker.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "marker"]
-
-from plotly.graph_objs.waterfall.increasing import marker
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".marker"], ["._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/increasing/_marker.py b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/_marker.py
new file mode 100644
index 00000000000..5d6a0427e4d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/_marker.py
@@ -0,0 +1,175 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.increasing"
+    _path_str = "waterfall.increasing.marker"
+    _valid_props = {"color", "line"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of all increasing values.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.increasing.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color of all increasing values.
+                width
+                    Sets the line width of all increasing values.
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.increasing.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of all increasing values.
+        line
+            :class:`plotly.graph_objects.waterfall.increasing.marke
+            r.Line` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, color=None, line=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.increasing.Marker`
+        color
+            Sets the marker color of all increasing values.
+        line
+            :class:`plotly.graph_objects.waterfall.increasing.marke
+            r.Line` instance or dict with compatible properties
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.increasing.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.increasing.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/__init__.py
index 100a461fb24..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/__init__.py
@@ -1,169 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color of all increasing values.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width of all increasing values.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.increasing.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color of all increasing values.
-        width
-            Sets the line width of all increasing values.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of :class:`plotly.graph_objs.waterfall.incr
-            easing.marker.Line`
-        color
-            Sets the line color of all increasing values.
-        width
-            Sets the line width of all increasing values.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.increasing.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.increasing.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.increasing.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/_line.py b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/_line.py
new file mode 100644
index 00000000000..6f37affe32d
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/_line.py
@@ -0,0 +1,165 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.increasing.marker"
+    _path_str = "waterfall.increasing.marker.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color of all increasing values.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width of all increasing values.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color of all increasing values.
+        width
+            Sets the line width of all increasing values.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of :class:`plotly.graph_objs.waterfall.incr
+            easing.marker.Line`
+        color
+            Sets the line color of all increasing values.
+        width
+            Sets the line width of all increasing values.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.increasing.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.increasing.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/totals/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/totals/__init__.py
index 39ae6bdada9..872e6e009da 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/totals/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/totals/__init__.py
@@ -1,186 +1,11 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import Marker
+    from . import marker
+else:
+    from _plotly_utils.importers import relative_import
 
-class Marker(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the marker color of all intermediate sums and total
-        values.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # line
-    # ----
-    @property
-    def line(self):
-        """
-        The 'line' property is an instance of Line
-        that may be specified as:
-          - An instance of :class:`plotly.graph_objs.waterfall.totals.marker.Line`
-          - A dict of string/value properties that will be passed
-            to the Line constructor
-    
-            Supported dict properties:
-                
-                color
-                    Sets the line color of all intermediate sums
-                    and total values.
-                width
-                    Sets the line width of all intermediate sums
-                    and total values.
-
-        Returns
-        -------
-        plotly.graph_objs.waterfall.totals.marker.Line
-        """
-        return self["line"]
-
-    @line.setter
-    def line(self, val):
-        self["line"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.totals"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the marker color of all intermediate sums and
-            total values.
-        line
-            :class:`plotly.graph_objects.waterfall.totals.marker.Li
-            ne` instance or dict with compatible properties
-        """
-
-    def __init__(self, arg=None, color=None, line=None, **kwargs):
-        """
-        Construct a new Marker object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.totals.Marker`
-        color
-            Sets the marker color of all intermediate sums and
-            total values.
-        line
-            :class:`plotly.graph_objects.waterfall.totals.marker.Li
-            ne` instance or dict with compatible properties
-
-        Returns
-        -------
-        Marker
-        """
-        super(Marker, self).__init__("marker")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.totals.Marker 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.totals.Marker`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.totals import marker as v_marker
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_marker.ColorValidator()
-        self._validators["line"] = v_marker.LineValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("line", None)
-        self["line"] = line if line is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Marker", "marker"]
-
-from plotly.graph_objs.waterfall.totals import marker
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [".marker"], ["._marker.Marker"]
+    )
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/totals/_marker.py b/packages/python/plotly/plotly/graph_objs/waterfall/totals/_marker.py
new file mode 100644
index 00000000000..d025008e7d3
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/totals/_marker.py
@@ -0,0 +1,180 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Marker(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.totals"
+    _path_str = "waterfall.totals.marker"
+    _valid_props = {"color", "line"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the marker color of all intermediate sums and total
+        values.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # line
+    # ----
+    @property
+    def line(self):
+        """
+        The 'line' property is an instance of Line
+        that may be specified as:
+          - An instance of :class:`plotly.graph_objs.waterfall.totals.marker.Line`
+          - A dict of string/value properties that will be passed
+            to the Line constructor
+    
+            Supported dict properties:
+                
+                color
+                    Sets the line color of all intermediate sums
+                    and total values.
+                width
+                    Sets the line width of all intermediate sums
+                    and total values.
+
+        Returns
+        -------
+        plotly.graph_objs.waterfall.totals.marker.Line
+        """
+        return self["line"]
+
+    @line.setter
+    def line(self, val):
+        self["line"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the marker color of all intermediate sums and
+            total values.
+        line
+            :class:`plotly.graph_objects.waterfall.totals.marker.Li
+            ne` instance or dict with compatible properties
+        """
+
+    def __init__(self, arg=None, color=None, line=None, **kwargs):
+        """
+        Construct a new Marker object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.totals.Marker`
+        color
+            Sets the marker color of all intermediate sums and
+            total values.
+        line
+            :class:`plotly.graph_objects.waterfall.totals.marker.Li
+            ne` instance or dict with compatible properties
+
+        Returns
+        -------
+        Marker
+        """
+        super(Marker, self).__init__("marker")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.totals.Marker 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.totals.Marker`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("line", None)
+        _v = line if line is not None else _v
+        if _v is not None:
+            self["line"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/__init__.py b/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/__init__.py
index 4e4f9234247..4e0bebe4612 100644
--- a/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/__init__.py
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/__init__.py
@@ -1,173 +1,8 @@
-from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
-import copy as _copy
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import Line
+else:
+    from _plotly_utils.importers import relative_import
 
-class Line(_BaseTraceHierarchyType):
-
-    # color
-    # -----
-    @property
-    def color(self):
-        """
-        Sets the line color of all intermediate sums and total values.
-    
-        The 'color' property is a color and may be specified as:
-          - A hex string (e.g. '#ff0000')
-          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
-          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
-          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
-          - A named CSS color:
-                aliceblue, antiquewhite, aqua, aquamarine, azure,
-                beige, bisque, black, blanchedalmond, blue,
-                blueviolet, brown, burlywood, cadetblue,
-                chartreuse, chocolate, coral, cornflowerblue,
-                cornsilk, crimson, cyan, darkblue, darkcyan,
-                darkgoldenrod, darkgray, darkgrey, darkgreen,
-                darkkhaki, darkmagenta, darkolivegreen, darkorange,
-                darkorchid, darkred, darksalmon, darkseagreen,
-                darkslateblue, darkslategray, darkslategrey,
-                darkturquoise, darkviolet, deeppink, deepskyblue,
-                dimgray, dimgrey, dodgerblue, firebrick,
-                floralwhite, forestgreen, fuchsia, gainsboro,
-                ghostwhite, gold, goldenrod, gray, grey, green,
-                greenyellow, honeydew, hotpink, indianred, indigo,
-                ivory, khaki, lavender, lavenderblush, lawngreen,
-                lemonchiffon, lightblue, lightcoral, lightcyan,
-                lightgoldenrodyellow, lightgray, lightgrey,
-                lightgreen, lightpink, lightsalmon, lightseagreen,
-                lightskyblue, lightslategray, lightslategrey,
-                lightsteelblue, lightyellow, lime, limegreen,
-                linen, magenta, maroon, mediumaquamarine,
-                mediumblue, mediumorchid, mediumpurple,
-                mediumseagreen, mediumslateblue, mediumspringgreen,
-                mediumturquoise, mediumvioletred, midnightblue,
-                mintcream, mistyrose, moccasin, navajowhite, navy,
-                oldlace, olive, olivedrab, orange, orangered,
-                orchid, palegoldenrod, palegreen, paleturquoise,
-                palevioletred, papayawhip, peachpuff, peru, pink,
-                plum, powderblue, purple, red, rosybrown,
-                royalblue, rebeccapurple, saddlebrown, salmon,
-                sandybrown, seagreen, seashell, sienna, silver,
-                skyblue, slateblue, slategray, slategrey, snow,
-                springgreen, steelblue, tan, teal, thistle, tomato,
-                turquoise, violet, wheat, white, whitesmoke,
-                yellow, yellowgreen
-
-        Returns
-        -------
-        str
-        """
-        return self["color"]
-
-    @color.setter
-    def color(self, val):
-        self["color"] = val
-
-    # width
-    # -----
-    @property
-    def width(self):
-        """
-        Sets the line width of all intermediate sums and total values.
-    
-        The 'width' property is a number and may be specified as:
-          - An int or float in the interval [0, inf]
-
-        Returns
-        -------
-        int|float
-        """
-        return self["width"]
-
-    @width.setter
-    def width(self, val):
-        self["width"] = val
-
-    # property parent name
-    # --------------------
-    @property
-    def _parent_path_str(self):
-        return "waterfall.totals.marker"
-
-    # Self properties description
-    # ---------------------------
-    @property
-    def _prop_descriptions(self):
-        return """\
-        color
-            Sets the line color of all intermediate sums and total
-            values.
-        width
-            Sets the line width of all intermediate sums and total
-            values.
-        """
-
-    def __init__(self, arg=None, color=None, width=None, **kwargs):
-        """
-        Construct a new Line object
-        
-        Parameters
-        ----------
-        arg
-            dict of properties compatible with this constructor or
-            an instance of
-            :class:`plotly.graph_objs.waterfall.totals.marker.Line`
-        color
-            Sets the line color of all intermediate sums and total
-            values.
-        width
-            Sets the line width of all intermediate sums and total
-            values.
-
-        Returns
-        -------
-        Line
-        """
-        super(Line, self).__init__("line")
-
-        # Validate arg
-        # ------------
-        if arg is None:
-            arg = {}
-        elif isinstance(arg, self.__class__):
-            arg = arg.to_plotly_json()
-        elif isinstance(arg, dict):
-            arg = _copy.copy(arg)
-        else:
-            raise ValueError(
-                """\
-The first argument to the plotly.graph_objs.waterfall.totals.marker.Line 
-constructor must be a dict or 
-an instance of :class:`plotly.graph_objs.waterfall.totals.marker.Line`"""
-            )
-
-        # Handle skip_invalid
-        # -------------------
-        self._skip_invalid = kwargs.pop("skip_invalid", False)
-
-        # Import validators
-        # -----------------
-        from plotly.validators.waterfall.totals.marker import line as v_line
-
-        # Initialize validators
-        # ---------------------
-        self._validators["color"] = v_line.ColorValidator()
-        self._validators["width"] = v_line.WidthValidator()
-
-        # Populate data dict with properties
-        # ----------------------------------
-        _v = arg.pop("color", None)
-        self["color"] = color if color is not None else _v
-        _v = arg.pop("width", None)
-        self["width"] = width if width is not None else _v
-
-        # Process unknown kwargs
-        # ----------------------
-        self._process_kwargs(**dict(arg, **kwargs))
-
-        # Reset skip_invalid
-        # ------------------
-        self._skip_invalid = False
-
-
-__all__ = ["Line"]
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._line.Line"])
diff --git a/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/_line.py b/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/_line.py
new file mode 100644
index 00000000000..9ff4a845826
--- /dev/null
+++ b/packages/python/plotly/plotly/graph_objs/waterfall/totals/marker/_line.py
@@ -0,0 +1,169 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Line(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "waterfall.totals.marker"
+    _path_str = "waterfall.totals.marker.line"
+    _valid_props = {"color", "width"}
+
+    # color
+    # -----
+    @property
+    def color(self):
+        """
+        Sets the line color of all intermediate sums and total values.
+    
+        The 'color' property is a color and may be specified as:
+          - A hex string (e.g. '#ff0000')
+          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
+          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
+          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
+          - A named CSS color:
+                aliceblue, antiquewhite, aqua, aquamarine, azure,
+                beige, bisque, black, blanchedalmond, blue,
+                blueviolet, brown, burlywood, cadetblue,
+                chartreuse, chocolate, coral, cornflowerblue,
+                cornsilk, crimson, cyan, darkblue, darkcyan,
+                darkgoldenrod, darkgray, darkgrey, darkgreen,
+                darkkhaki, darkmagenta, darkolivegreen, darkorange,
+                darkorchid, darkred, darksalmon, darkseagreen,
+                darkslateblue, darkslategray, darkslategrey,
+                darkturquoise, darkviolet, deeppink, deepskyblue,
+                dimgray, dimgrey, dodgerblue, firebrick,
+                floralwhite, forestgreen, fuchsia, gainsboro,
+                ghostwhite, gold, goldenrod, gray, grey, green,
+                greenyellow, honeydew, hotpink, indianred, indigo,
+                ivory, khaki, lavender, lavenderblush, lawngreen,
+                lemonchiffon, lightblue, lightcoral, lightcyan,
+                lightgoldenrodyellow, lightgray, lightgrey,
+                lightgreen, lightpink, lightsalmon, lightseagreen,
+                lightskyblue, lightslategray, lightslategrey,
+                lightsteelblue, lightyellow, lime, limegreen,
+                linen, magenta, maroon, mediumaquamarine,
+                mediumblue, mediumorchid, mediumpurple,
+                mediumseagreen, mediumslateblue, mediumspringgreen,
+                mediumturquoise, mediumvioletred, midnightblue,
+                mintcream, mistyrose, moccasin, navajowhite, navy,
+                oldlace, olive, olivedrab, orange, orangered,
+                orchid, palegoldenrod, palegreen, paleturquoise,
+                palevioletred, papayawhip, peachpuff, peru, pink,
+                plum, powderblue, purple, red, rosybrown,
+                royalblue, rebeccapurple, saddlebrown, salmon,
+                sandybrown, seagreen, seashell, sienna, silver,
+                skyblue, slateblue, slategray, slategrey, snow,
+                springgreen, steelblue, tan, teal, thistle, tomato,
+                turquoise, violet, wheat, white, whitesmoke,
+                yellow, yellowgreen
+
+        Returns
+        -------
+        str
+        """
+        return self["color"]
+
+    @color.setter
+    def color(self, val):
+        self["color"] = val
+
+    # width
+    # -----
+    @property
+    def width(self):
+        """
+        Sets the line width of all intermediate sums and total values.
+    
+        The 'width' property is a number and may be specified as:
+          - An int or float in the interval [0, inf]
+
+        Returns
+        -------
+        int|float
+        """
+        return self["width"]
+
+    @width.setter
+    def width(self, val):
+        self["width"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        color
+            Sets the line color of all intermediate sums and total
+            values.
+        width
+            Sets the line width of all intermediate sums and total
+            values.
+        """
+
+    def __init__(self, arg=None, color=None, width=None, **kwargs):
+        """
+        Construct a new Line object
+        
+        Parameters
+        ----------
+        arg
+            dict of properties compatible with this constructor or
+            an instance of
+            :class:`plotly.graph_objs.waterfall.totals.marker.Line`
+        color
+            Sets the line color of all intermediate sums and total
+            values.
+        width
+            Sets the line width of all intermediate sums and total
+            values.
+
+        Returns
+        -------
+        Line
+        """
+        super(Line, self).__init__("line")
+
+        if "_parent" in kwargs:
+            self._parent = kwargs["_parent"]
+            return
+
+        # Validate arg
+        # ------------
+        if arg is None:
+            arg = {}
+        elif isinstance(arg, self.__class__):
+            arg = arg.to_plotly_json()
+        elif isinstance(arg, dict):
+            arg = _copy.copy(arg)
+        else:
+            raise ValueError(
+                """\
+The first argument to the plotly.graph_objs.waterfall.totals.marker.Line 
+constructor must be a dict or 
+an instance of :class:`plotly.graph_objs.waterfall.totals.marker.Line`"""
+            )
+
+        # Handle skip_invalid
+        # -------------------
+        self._skip_invalid = kwargs.pop("skip_invalid", False)
+
+        # Populate data dict with properties
+        # ----------------------------------
+        _v = arg.pop("color", None)
+        _v = color if color is not None else _v
+        if _v is not None:
+            self["color"] = _v
+        _v = arg.pop("width", None)
+        _v = width if width is not None else _v
+        if _v is not None:
+            self["width"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False
diff --git a/packages/python/plotly/plotly/io/__init__.py b/packages/python/plotly/plotly/io/__init__.py
index 6b96585c334..ab9f9218c70 100644
--- a/packages/python/plotly/plotly/io/__init__.py
+++ b/packages/python/plotly/plotly/io/__init__.py
@@ -1,28 +1,52 @@
-from ._orca import to_image, write_image
-from . import orca
+from _plotly_utils.importers import relative_import
+import sys
 
-from ._json import to_json, from_json, read_json, write_json
+if sys.version_info < (3, 7):
+    from ._orca import to_image, write_image
+    from . import orca
+    from ._json import to_json, from_json, read_json, write_json
+    from ._templates import templates, to_templated
+    from ._html import to_html, write_html
+    from ._renderers import renderers, show
+    from . import base_renderers
 
-from ._templates import templates, to_templated
+    __all__ = [
+        "to_image",
+        "write_image",
+        "orca",
+        "to_json",
+        "from_json",
+        "read_json",
+        "write_json",
+        "templates",
+        "to_templated",
+        "to_html",
+        "write_html",
+        "renderers",
+        "show",
+        "base_renderers",
+    ]
+else:
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [".orca", ".base_renderers"],
+        [
+            "._orca.to_image",
+            "._orca.write_image",
+            "._json.to_json",
+            "._json.from_json",
+            "._json.read_json",
+            "._json.write_json",
+            "._templates.templates",
+            "._templates.to_templated",
+            "._html.to_html",
+            "._html.write_html",
+            "._renderers.renderers",
+            "._renderers.show",
+        ],
+    )
 
-from ._html import to_html, write_html
+    # Set default template (for < 3.7 this is done in ploty/__init__.py)
+    from plotly.io import templates
 
-from ._renderers import renderers, show
-
-from . import base_renderers
-
-__all__ = [
-    "to_image",
-    "write_image",
-    "to_json",
-    "from_json",
-    "read_json",
-    "write_json",
-    "templates",
-    "to_templated",
-    "to_html",
-    "write_html",
-    "renderers",
-    "show",
-    "base_renderers",
-]
+    templates._default = "plotly"
diff --git a/packages/python/plotly/plotly/io/_templates.py b/packages/python/plotly/plotly/io/_templates.py
index f9f399a1b24..66c546a75d0 100644
--- a/packages/python/plotly/plotly/io/_templates.py
+++ b/packages/python/plotly/plotly/io/_templates.py
@@ -304,7 +304,7 @@ def walk_push_to_template(fig_obj, template_obj, skip):
         fig_val = fig_obj[prop]
         template_val = template_obj[prop]
 
-        validator = fig_obj._validators[prop]
+        validator = fig_obj._get_validator(prop)
 
         if isinstance(validator, CompoundValidator):
             walk_push_to_template(fig_val, template_val, skip)
@@ -390,7 +390,7 @@ def to_templated(fig, skip=("title", "text")):
     >>> templated_fig = pio.to_templated(fig)
     >>> templated_fig.layout.template
     layout.Template({
-        'data': {}, 'layout': {'font': {'family': 'Courier', 'size': 20}}
+        'layout': {'font': {'family': 'Courier', 'size': 20}}
     })
     >>> templated_fig
     Figure({
@@ -483,10 +483,17 @@ def to_templated(fig, skip=("title", "text")):
         trace_type_indexes[trace.type] = template_index + 1
 
     # Remove useless trace arrays
+    any_non_empty = False
     for trace_type in templated_fig.layout.template.data:
         traces = templated_fig.layout.template.data[trace_type]
         is_empty = [trace.to_plotly_json() == {"type": trace_type} for trace in traces]
         if all(is_empty):
             templated_fig.layout.template.data[trace_type] = None
+        else:
+            any_non_empty = True
+
+    # Check if we can remove the data altogether key
+    if not any_non_empty:
+        templated_fig.layout.template.data = None
 
     return templated_fig
diff --git a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py
index 5002e82059a..3b79dd62826 100644
--- a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py
+++ b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py
@@ -52,7 +52,7 @@ def test_old_class_names(self):
         # compat, so we basically just create a checkpoint with this test.
 
         for class_name in OLD_CLASS_NAMES:
-            self.assertIn(class_name, go.__dict__.keys())
+            self.assertIsNotNone(getattr(go, class_name, None))
 
     def test_title_as_string_layout(self):
         """
diff --git a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_instantiate_hierarchy.py b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_instantiate_hierarchy.py
index 8f37a3c7d14..c504b417031 100644
--- a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_instantiate_hierarchy.py
+++ b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_instantiate_hierarchy.py
@@ -18,9 +18,10 @@ class HierarchyTest(TestCase):
     def test_construct_datatypes(self):
         for datatypes_module in datatype_modules:
             module = importlib.import_module(datatypes_module)
-            for name, obj in inspect.getmembers(module, inspect.isclass):
-                if name.startswith("_"):
+            for name in getattr(module, "__all__", []):
+                if name.startswith("_") or name[0].islower() or name == "FigureWidget":
                     continue
+                obj = getattr(module, name)
                 try:
                     v = obj()
                 except Exception:
@@ -29,6 +30,7 @@ def test_construct_datatypes(self):
                             obj=obj, module=datatypes_module
                         )
                     )
+                    raise
 
                 if obj.__module__ == "plotly.graph_objs._deprecations":
                     self.assertTrue(isinstance(v, list) or isinstance(v, dict))
diff --git a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_template.py b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_template.py
index 8010e962a92..d6ff6dc8995 100644
--- a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_template.py
+++ b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_template.py
@@ -195,7 +195,7 @@ def test_move_layout_nested_properties(self):
                     "layout": {
                         "font": {"family": "Courier New"},
                         "paper_bgcolor": "yellow",
-                    }
+                    },
                 },
                 "title": "Hello",
             }
diff --git a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_validate.py b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_validate.py
new file mode 100644
index 00000000000..1758bf85e46
--- /dev/null
+++ b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_validate.py
@@ -0,0 +1,48 @@
+import plotly.graph_objs as go
+import json
+import pytest
+import plotly.io as pio
+
+
+def build_invalid_fig():
+    return go.Figure(
+        data=[{"type": "bar", "y": "not_a_list", "bogus": 23}],
+        layout_title_text="valid title",
+        layout_colorway="not a dict",
+    )
+
+
+expected_invalid_dict = dict(
+    data=[{"type": "bar", "y": "not_a_list", "bogus": 23}],
+    layout={"title": {"text": "valid title"}, "colorway": "not a dict"},
+)
+
+
+def test_validate_false():
+    template = pio.templates.default
+    should_validate = go.validate._should_validate
+    try:
+        pio.templates.default = None
+
+        # Build figure with variety of invalid properties (both name and value),
+        # make sure underscore notation is still applied properly
+        with go.validate(False):
+            fig = build_invalid_fig()
+            assert json.loads(fig.to_json()) == expected_invalid_dict
+
+        with go.validate(True):
+            with pytest.raises(ValueError):
+                build_invalid_fig()
+
+        # Use validate as callable
+        go.validate(False)
+        fig = build_invalid_fig()
+        assert json.loads(fig.to_json()) == expected_invalid_dict
+
+        go.validate(True)
+        with pytest.raises(ValueError):
+            build_invalid_fig()
+
+    finally:
+        pio.templates.default = template
+        go.validate(should_validate)
diff --git a/packages/python/plotly/plotly/validator_cache.py b/packages/python/plotly/plotly/validator_cache.py
new file mode 100644
index 00000000000..15509a47699
--- /dev/null
+++ b/packages/python/plotly/plotly/validator_cache.py
@@ -0,0 +1,34 @@
+import importlib
+from _plotly_utils.basevalidators import LiteralValidator
+
+
+class ValidatorCache(object):
+    _cache = {}
+
+    @staticmethod
+    def get_validator(parent_path, prop_name):
+
+        key = (parent_path, prop_name)
+        if key not in ValidatorCache._cache:
+
+            if "." not in parent_path and prop_name == "type":
+                # Special case for .type property of traces
+                validator = LiteralValidator("type", parent_path, parent_path)
+            else:
+                lookup_name = None
+                if parent_path == "layout":
+                    from .graph_objects import Layout
+
+                    match = Layout._subplotid_prop_re.match(prop_name)
+                    if match:
+                        lookup_name = match.group(1)
+
+                lookup_name = lookup_name or prop_name
+                class_name = lookup_name.title() + "Validator"
+                validator = getattr(
+                    importlib.import_module("plotly.validators." + parent_path),
+                    class_name,
+                )(plotly_name=prop_name)
+            ValidatorCache._cache[key] = validator
+
+        return ValidatorCache._cache[key]
diff --git a/packages/python/plotly/plotly/validators/__init__.py b/packages/python/plotly/plotly/validators/__init__.py
index de8179948c2..9690ccd69f4 100644
--- a/packages/python/plotly/plotly/validators/__init__.py
+++ b/packages/python/plotly/plotly/validators/__init__.py
@@ -1,12889 +1,112 @@
-import _plotly_utils.basevalidators
-
-
-class LayoutValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="layout", parent_name="", **kwargs):
-        super(LayoutValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Layout"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            angularaxis
-                :class:`plotly.graph_objects.layout.AngularAxis
-                ` instance or dict with compatible properties
-            annotations
-                A tuple of
-                :class:`plotly.graph_objects.layout.Annotation`
-                instances or dicts with compatible properties
-            annotationdefaults
-                When used in a template (as
-                layout.template.layout.annotationdefaults),
-                sets the default property values to use for
-                elements of layout.annotations
-            autosize
-                Determines whether or not a layout width or
-                height that has been left undefined by the user
-                is initialized on each relayout. Note that,
-                regardless of this attribute, an undefined
-                layout width or height is always initialized on
-                the first call to plot.
-            bargap
-                Sets the gap (in plot fraction) between bars of
-                adjacent location coordinates.
-            bargroupgap
-                Sets the gap (in plot fraction) between bars of
-                the same location coordinate.
-            barmode
-                Determines how bars at the same location
-                coordinate are displayed on the graph. With
-                "stack", the bars are stacked on top of one
-                another With "relative", the bars are stacked
-                on top of one another, with negative values
-                below the axis, positive values above With
-                "group", the bars are plotted next to one
-                another centered around the shared location.
-                With "overlay", the bars are plotted over one
-                another, you might need to an "opacity" to see
-                multiple bars.
-            barnorm
-                Sets the normalization for bar traces on the
-                graph. With "fraction", the value of each bar
-                is divided by the sum of all values at that
-                location coordinate. "percent" is the same but
-                multiplied by 100 to show percentages.
-            boxgap
-                Sets the gap (in plot fraction) between boxes
-                of adjacent location coordinates. Has no effect
-                on traces that have "width" set.
-            boxgroupgap
-                Sets the gap (in plot fraction) between boxes
-                of the same location coordinate. Has no effect
-                on traces that have "width" set.
-            boxmode
-                Determines how boxes at the same location
-                coordinate are displayed on the graph. If
-                "group", the boxes are plotted next to one
-                another centered around the shared location. If
-                "overlay", the boxes are plotted over one
-                another, you might need to set "opacity" to see
-                them multiple boxes. Has no effect on traces
-                that have "width" set.
-            calendar
-                Sets the default calendar system to use for
-                interpreting and displaying dates throughout
-                the plot.
-            clickmode
-                Determines the mode of single click
-                interactions. "event" is the default value and
-                emits the `plotly_click` event. In addition
-                this mode emits the `plotly_selected` event in
-                drag modes "lasso" and "select", but with no
-                event data attached (kept for compatibility
-                reasons). The "select" flag enables selecting
-                single data points via click. This mode also
-                supports persistent selections, meaning that
-                pressing Shift while clicking, adds to /
-                subtracts from an existing selection. "select"
-                with `hovermode`: "x" can be confusing,
-                consider explicitly setting `hovermode`:
-                "closest" when using this feature. Selection
-                events are sent accordingly as long as "event"
-                flag is set as well. When the "event" flag is
-                missing, `plotly_click` and `plotly_selected`
-                events are not fired.
-            coloraxis
-                :class:`plotly.graph_objects.layout.Coloraxis`
-                instance or dict with compatible properties
-            colorscale
-                :class:`plotly.graph_objects.layout.Colorscale`
-                instance or dict with compatible properties
-            colorway
-                Sets the default trace colors.
-            datarevision
-                If provided, a changed value tells
-                `Plotly.react` that one or more data arrays has
-                changed. This way you can modify arrays in-
-                place rather than making a complete new copy
-                for an incremental change. If NOT provided,
-                `Plotly.react` assumes that data arrays are
-                being treated as immutable, thus any data array
-                with a different identity from its predecessor
-                contains new data.
-            direction
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the direction
-                corresponding to positive angles in legacy
-                polar charts.
-            dragmode
-                Determines the mode of drag interactions.
-                "select" and "lasso" apply only to scatter
-                traces with markers or text. "orbit" and
-                "turntable" apply only to 3D scenes.
-            editrevision
-                Controls persistence of user-driven changes in
-                `editable: true` configuration, other than
-                trace names and axis titles. Defaults to
-                `layout.uirevision`.
-            extendfunnelareacolors
-                If `true`, the funnelarea slice colors (whether
-                given by `funnelareacolorway` or inherited from
-                `colorway`) will be extended to three times its
-                original length by first repeating every color
-                20% lighter then each color 20% darker. This is
-                intended to reduce the likelihood of reusing
-                the same color when you have many slices, but
-                you can set `false` to disable. Colors provided
-                in the trace, using `marker.colors`, are never
-                extended.
-            extendpiecolors
-                If `true`, the pie slice colors (whether given
-                by `piecolorway` or inherited from `colorway`)
-                will be extended to three times its original
-                length by first repeating every color 20%
-                lighter then each color 20% darker. This is
-                intended to reduce the likelihood of reusing
-                the same color when you have many slices, but
-                you can set `false` to disable. Colors provided
-                in the trace, using `marker.colors`, are never
-                extended.
-            extendsunburstcolors
-                If `true`, the sunburst slice colors (whether
-                given by `sunburstcolorway` or inherited from
-                `colorway`) will be extended to three times its
-                original length by first repeating every color
-                20% lighter then each color 20% darker. This is
-                intended to reduce the likelihood of reusing
-                the same color when you have many slices, but
-                you can set `false` to disable. Colors provided
-                in the trace, using `marker.colors`, are never
-                extended.
-            extendtreemapcolors
-                If `true`, the treemap slice colors (whether
-                given by `treemapcolorway` or inherited from
-                `colorway`) will be extended to three times its
-                original length by first repeating every color
-                20% lighter then each color 20% darker. This is
-                intended to reduce the likelihood of reusing
-                the same color when you have many slices, but
-                you can set `false` to disable. Colors provided
-                in the trace, using `marker.colors`, are never
-                extended.
-            font
-                Sets the global font. Note that fonts used in
-                traces and other layout components inherit from
-                the global font.
-            funnelareacolorway
-                Sets the default funnelarea slice colors.
-                Defaults to the main `colorway` used for trace
-                colors. If you specify a new list here it can
-                still be extended with lighter and darker
-                colors, see `extendfunnelareacolors`.
-            funnelgap
-                Sets the gap (in plot fraction) between bars of
-                adjacent location coordinates.
-            funnelgroupgap
-                Sets the gap (in plot fraction) between bars of
-                the same location coordinate.
-            funnelmode
-                Determines how bars at the same location
-                coordinate are displayed on the graph. With
-                "stack", the bars are stacked on top of one
-                another With "group", the bars are plotted next
-                to one another centered around the shared
-                location. With "overlay", the bars are plotted
-                over one another, you might need to an
-                "opacity" to see multiple bars.
-            geo
-                :class:`plotly.graph_objects.layout.Geo`
-                instance or dict with compatible properties
-            grid
-                :class:`plotly.graph_objects.layout.Grid`
-                instance or dict with compatible properties
-            height
-                Sets the plot's height (in px).
-            hiddenlabels
-                hiddenlabels is the funnelarea & pie chart
-                analog of visible:'legendonly' but it can
-                contain many labels, and can simultaneously
-                hide slices from several pies/funnelarea charts
-            hiddenlabelssrc
-                Sets the source reference on Chart Studio Cloud
-                for  hiddenlabels .
-            hidesources
-                Determines whether or not a text link citing
-                the data source is placed at the bottom-right
-                cored of the figure. Has only an effect only on
-                graphs that have been generated via forked
-                graphs from the Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise).
-            hoverdistance
-                Sets the default distance (in pixels) to look
-                for data to add hover labels (-1 means no
-                cutoff, 0 means no looking for data). This is
-                only a real distance for hovering on point-like
-                objects, like scatter points. For area-like
-                objects (bars, scatter fills, etc) hovering is
-                on inside the area and off outside, but these
-                objects will not supersede hover on point-like
-                objects in case of conflict.
-            hoverlabel
-                :class:`plotly.graph_objects.layout.Hoverlabel`
-                instance or dict with compatible properties
-            hovermode
-                Determines the mode of hover interactions. If
-                "closest", a single hoverlabel will appear for
-                the "closest" point within the `hoverdistance`.
-                If "x" (or "y"), multiple hoverlabels will
-                appear for multiple points at the "closest" x-
-                (or y-) coordinate within the `hoverdistance`,
-                with the caveat that no more than one
-                hoverlabel will appear per trace. If *x
-                unified* (or *y unified*), a single hoverlabel
-                will appear multiple points at the closest x-
-                (or y-) coordinate within the `hoverdistance`
-                with the caveat that no more than one
-                hoverlabel will appear per trace. In this mode,
-                spikelines are enabled by default perpendicular
-                to the specified axis. If false, hover
-                interactions are disabled. If `clickmode`
-                includes the "select" flag, `hovermode`
-                defaults to "closest". If `clickmode` lacks the
-                "select" flag, it defaults to "x" or "y"
-                (depending on the trace's `orientation` value)
-                for plots based on cartesian coordinates. For
-                anything else the default value is "closest".
-            images
-                A tuple of
-                :class:`plotly.graph_objects.layout.Image`
-                instances or dicts with compatible properties
-            imagedefaults
-                When used in a template (as
-                layout.template.layout.imagedefaults), sets the
-                default property values to use for elements of
-                layout.images
-            legend
-                :class:`plotly.graph_objects.layout.Legend`
-                instance or dict with compatible properties
-            mapbox
-                :class:`plotly.graph_objects.layout.Mapbox`
-                instance or dict with compatible properties
-            margin
-                :class:`plotly.graph_objects.layout.Margin`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information that can be used
-                in various `text` attributes. Attributes such
-                as the graph, axis and colorbar `title.text`,
-                annotation `text` `trace.name` in legend items,
-                `rangeselector`, `updatemenus` and `sliders`
-                `label` text all support `meta`. One can access
-                `meta` fields using template strings:
-                `%{meta[i]}` where `i` is the index of the
-                `meta` item in question. `meta` can also be an
-                object for example `{key: value}` which can be
-                accessed %{meta[key]}.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            modebar
-                :class:`plotly.graph_objects.layout.Modebar`
-                instance or dict with compatible properties
-            orientation
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Rotates the entire
-                polar by the given angle in legacy polar
-                charts.
-            paper_bgcolor
-                Sets the background color of the paper where
-                the graph is drawn.
-            piecolorway
-                Sets the default pie slice colors. Defaults to
-                the main `colorway` used for trace colors. If
-                you specify a new list here it can still be
-                extended with lighter and darker colors, see
-                `extendpiecolors`.
-            plot_bgcolor
-                Sets the background color of the plotting area
-                in-between x and y axes.
-            polar
-                :class:`plotly.graph_objects.layout.Polar`
-                instance or dict with compatible properties
-            radialaxis
-                :class:`plotly.graph_objects.layout.RadialAxis`
-                instance or dict with compatible properties
-            scene
-                :class:`plotly.graph_objects.layout.Scene`
-                instance or dict with compatible properties
-            selectdirection
-                When "dragmode" is set to "select", this limits
-                the selection of the drag to horizontal,
-                vertical or diagonal. "h" only allows
-                horizontal selection, "v" only vertical, "d"
-                only diagonal and "any" sets no limit.
-            selectionrevision
-                Controls persistence of user-driven changes in
-                selected points from all traces.
-            separators
-                Sets the decimal and thousand separators. For
-                example, *. * puts a '.' before decimals and a
-                space between thousands. In English locales,
-                dflt is ".," but other locales may alter this
-                default.
-            shapes
-                A tuple of
-                :class:`plotly.graph_objects.layout.Shape`
-                instances or dicts with compatible properties
-            shapedefaults
-                When used in a template (as
-                layout.template.layout.shapedefaults), sets the
-                default property values to use for elements of
-                layout.shapes
-            showlegend
-                Determines whether or not a legend is drawn.
-                Default is `true` if there is a trace to show
-                and any of these: a) Two or more traces would
-                by default be shown in the legend. b) One pie
-                trace is shown in the legend. c) One trace is
-                explicitly given with `showlegend: true`.
-            sliders
-                A tuple of
-                :class:`plotly.graph_objects.layout.Slider`
-                instances or dicts with compatible properties
-            sliderdefaults
-                When used in a template (as
-                layout.template.layout.sliderdefaults), sets
-                the default property values to use for elements
-                of layout.sliders
-            spikedistance
-                Sets the default distance (in pixels) to look
-                for data to draw spikelines to (-1 means no
-                cutoff, 0 means no looking for data). As with
-                hoverdistance, distance does not apply to area-
-                like objects. In addition, some objects can be
-                hovered on but will not generate spikelines,
-                such as scatter fills.
-            sunburstcolorway
-                Sets the default sunburst slice colors.
-                Defaults to the main `colorway` used for trace
-                colors. If you specify a new list here it can
-                still be extended with lighter and darker
-                colors, see `extendsunburstcolors`.
-            template
-                Default attributes to be applied to the plot.
-                This should be a dict with format: `{'layout':
-                layoutTemplate, 'data': {trace_type:
-                [traceTemplate, ...], ...}}` where
-                `layoutTemplate` is a dict matching the
-                structure of `figure.layout` and
-                `traceTemplate` is a dict matching the
-                structure of the trace with type `trace_type`
-                (e.g. 'scatter'). Alternatively, this may be
-                specified as an instance of
-                plotly.graph_objs.layout.Template.  Trace
-                templates are applied cyclically to traces of
-                each type. Container arrays (eg `annotations`)
-                have special handling: An object ending in
-                `defaults` (eg `annotationdefaults`) is applied
-                to each array item. But if an item has a
-                `templateitemname` key we look in the template
-                array for an item with matching `name` and
-                apply that instead. If no matching `name` is
-                found we mark the item invisible. Any named
-                template item not referenced is appended to the
-                end of the array, so this can be used to add a
-                watermark annotation or a logo image, for
-                example. To omit one of these items on the
-                plot, make an item with matching
-                `templateitemname` and `visible: false`.
-            ternary
-                :class:`plotly.graph_objects.layout.Ternary`
-                instance or dict with compatible properties
-            title
-                :class:`plotly.graph_objects.layout.Title`
-                instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use layout.title.font
-                instead. Sets the title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            transition
-                Sets transition options used during
-                Plotly.react updates.
-            treemapcolorway
-                Sets the default treemap slice colors. Defaults
-                to the main `colorway` used for trace colors.
-                If you specify a new list here it can still be
-                extended with lighter and darker colors, see
-                `extendtreemapcolors`.
-            uirevision
-                Used to allow user interactions with the plot
-                to persist after `Plotly.react` calls that are
-                unaware of these interactions. If `uirevision`
-                is omitted, or if it is given and it changed
-                from the previous `Plotly.react` call, the
-                exact new figure is used. If `uirevision` is
-                truthy and did NOT change, any attribute that
-                has been affected by user interactions and did
-                not receive a different value in the new figure
-                will keep the interaction value.
-                `layout.uirevision` attribute serves as the
-                default for `uirevision` attributes in various
-                sub-containers. For finer control you can set
-                these sub-attributes directly. For example, if
-                your app separately controls the data on the x
-                and y axes you might set
-                `xaxis.uirevision=*time*` and
-                `yaxis.uirevision=*cost*`. Then if only the y
-                data is changed, you can update
-                `yaxis.uirevision=*quantity*` and the y axis
-                range will reset but the x axis range will
-                retain any user-driven zoom.
-            uniformtext
-                :class:`plotly.graph_objects.layout.Uniformtext
-                ` instance or dict with compatible properties
-            updatemenus
-                A tuple of
-                :class:`plotly.graph_objects.layout.Updatemenu`
-                instances or dicts with compatible properties
-            updatemenudefaults
-                When used in a template (as
-                layout.template.layout.updatemenudefaults),
-                sets the default property values to use for
-                elements of layout.updatemenus
-            violingap
-                Sets the gap (in plot fraction) between violins
-                of adjacent location coordinates. Has no effect
-                on traces that have "width" set.
-            violingroupgap
-                Sets the gap (in plot fraction) between violins
-                of the same location coordinate. Has no effect
-                on traces that have "width" set.
-            violinmode
-                Determines how violins at the same location
-                coordinate are displayed on the graph. If
-                "group", the violins are plotted next to one
-                another centered around the shared location. If
-                "overlay", the violins are plotted over one
-                another, you might need to set "opacity" to see
-                them multiple violins. Has no effect on traces
-                that have "width" set.
-            waterfallgap
-                Sets the gap (in plot fraction) between bars of
-                adjacent location coordinates.
-            waterfallgroupgap
-                Sets the gap (in plot fraction) between bars of
-                the same location coordinate.
-            waterfallmode
-                Determines how bars at the same location
-                coordinate are displayed on the graph. With
-                "group", the bars are plotted next to one
-                another centered around the shared location.
-                With "overlay", the bars are plotted over one
-                another, you might need to an "opacity" to see
-                multiple bars.
-            width
-                Sets the plot's width (in px).
-            xaxis
-                :class:`plotly.graph_objects.layout.XAxis`
-                instance or dict with compatible properties
-            yaxis
-                :class:`plotly.graph_objects.layout.YAxis`
-                instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WaterfallValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="waterfall", parent_name="", **kwargs):
-        super(WaterfallValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Waterfall"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alignmentgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same
-                alignmentgroup. This controls whether bars
-                compute their positional range dependently or
-                independently.
-            base
-                Sets where the bar base is drawn (in position
-                axis units).
-            cliponaxis
-                Determines whether the text nodes are clipped
-                about the subplot axes. To show the text nodes
-                above axis lines and tick labels, make sure to
-                set `xaxis.layer` and `yaxis.layer` to *below
-                traces*.
-            connector
-                :class:`plotly.graph_objects.waterfall.Connecto
-                r` instance or dict with compatible properties
-            constraintext
-                Constrain the size of text inside or outside a
-                bar to be no larger than the bar itself.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            decreasing
-                :class:`plotly.graph_objects.waterfall.Decreasi
-                ng` instance or dict with compatible properties
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.waterfall.Hoverlab
-                el` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `initial`, `delta` and `final`.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            increasing
-                :class:`plotly.graph_objects.waterfall.Increasi
-                ng` instance or dict with compatible properties
-            insidetextanchor
-                Determines if texts are kept at center or
-                start/end points in `textposition` "inside"
-                mode.
-            insidetextfont
-                Sets the font used for `text` lying inside the
-                bar.
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            measure
-                An array containing types of values. By default
-                the values are considered as 'relative'.
-                However; it is possible to use 'total' to
-                compute the sums. Also 'absolute' could be
-                applied to reset the computed total or to
-                declare an initial value where needed.
-            measuresrc
-                Sets the source reference on Chart Studio Cloud
-                for  measure .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            offset
-                Shifts the position where the bar is drawn (in
-                position axis units). In "group" barmode,
-                traces that set "offset" will be excluded and
-                drawn in "overlay" mode instead.
-            offsetgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same offsetgroup
-                where bars of the same position coordinate will
-                line up.
-            offsetsrc
-                Sets the source reference on Chart Studio Cloud
-                for  offset .
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Sets the orientation of the bars. With "v"
-                ("h"), the value of the each bar spans along
-                the vertical (horizontal).
-            outsidetextfont
-                Sets the font used for `text` lying outside the
-                bar.
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.waterfall.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textangle
-                Sets the angle of the tick labels with respect
-                to the bar. For example, a `tickangle` of -90
-                draws the tick labels vertically. With "auto"
-                the texts may automatically be rotated to fit
-                with the maximum size in bars.
-            textfont
-                Sets the font used for `text`.
-            textinfo
-                Determines which trace information appear on
-                the graph. In the case of having multiple
-                waterfalls, totals are computed separately (per
-                trace).
-            textposition
-                Specifies the location of the `text`. "inside"
-                positions `text` inside, next to the bar end
-                (rotated and scaled if needed). "outside"
-                positions `text` outside, next to the bar end
-                (scaled if needed), unless there is another bar
-                stacked on this one, then the text gets pushed
-                inside. "auto" tries to position `text` inside
-                the bar, but if the bar is too small and no bar
-                is stacked on this one the text is moved
-                outside.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `initial`, `delta`,
-                `final` and `label`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            totals
-                :class:`plotly.graph_objects.waterfall.Totals`
-                instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            width
-                Sets the bar width (in position axis units).
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VolumeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="volume", parent_name="", **kwargs):
-        super(VolumeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Volume"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            caps
-                :class:`plotly.graph_objects.volume.Caps`
-                instance or dict with compatible properties
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                `value`) or the bounds set in `cmin` and `cmax`
-                Defaults to `false` when `cmin` and `cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as `value` and if
-                set, `cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as `value`. Has no effect when `cauto` is
-                `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as `value` and if
-                set, `cmax` must be set as well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.volume.ColorBar`
-                instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            contour
-                :class:`plotly.graph_objects.volume.Contour`
-                instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            flatshading
-                Determines whether or not normal smoothing is
-                applied to the meshes, creating meshes with an
-                angular, low-poly look via flat reflections.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.volume.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            isomax
-                Sets the maximum boundary for iso-surface plot.
-            isomin
-                Sets the minimum boundary for iso-surface plot.
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lighting
-                :class:`plotly.graph_objects.volume.Lighting`
-                instance or dict with compatible properties
-            lightposition
-                :class:`plotly.graph_objects.volume.Lightpositi
-                on` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the surface. Please note
-                that in the case of using high `opacity` values
-                for example a value greater than or equal to
-                0.5 on two surfaces (and 0.25 with four
-                surfaces), an overlay of multiple transparent
-                surfaces may not perfectly be sorted in depth
-                by the webgl API. This behavior may be improved
-                in the near future and is subject to change.
-            opacityscale
-                Sets the opacityscale. The opacityscale must be
-                an array containing arrays mapping a normalized
-                value to an opacity value. At minimum, a
-                mapping for the lowest (0) and highest (1)
-                values are required. For example, `[[0, 1],
-                [0.5, 0.2], [1, 1]]` means that higher/lower
-                values would have higher opacity values and
-                those in the middle would be more transparent
-                Alternatively, `opacityscale` may be a palette
-                name string of the following list: 'min',
-                'max', 'extremes' and 'uniform'. The default is
-                'uniform'.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            slices
-                :class:`plotly.graph_objects.volume.Slices`
-                instance or dict with compatible properties
-            spaceframe
-                :class:`plotly.graph_objects.volume.Spaceframe`
-                instance or dict with compatible properties
-            stream
-                :class:`plotly.graph_objects.volume.Stream`
-                instance or dict with compatible properties
-            surface
-                :class:`plotly.graph_objects.volume.Surface`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with the
-                vertices. If trace `hoverinfo` contains a
-                "text" flag and "hovertext" is not set, these
-                elements will be seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            value
-                Sets the 4th dimension (value) of the vertices.
-            valuesrc
-                Sets the source reference on Chart Studio Cloud
-                for  value .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the X coordinates of the vertices on X
-                axis.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the Y coordinates of the vertices on Y
-                axis.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the Z coordinates of the vertices on Z
-                axis.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ViolinValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="violin", parent_name="", **kwargs):
-        super(ViolinValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Violin"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alignmentgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same
-                alignmentgroup. This controls whether bars
-                compute their positional range dependently or
-                independently.
-            bandwidth
-                Sets the bandwidth used to compute the kernel
-                density estimate. By default, the bandwidth is
-                determined by Silverman's rule of thumb.
-            box
-                :class:`plotly.graph_objects.violin.Box`
-                instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.violin.Hoverlabel`
-                instance or dict with compatible properties
-            hoveron
-                Do the hover effects highlight individual
-                violins or sample points or the kernel density
-                estimate or any combination of them?
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            jitter
-                Sets the amount of jitter in the sample points
-                drawn. If 0, the sample points align along the
-                distribution axis. If 1, the sample points are
-                drawn in a random jitter of width equal to the
-                width of the violins.
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.violin.Line`
-                instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.violin.Marker`
-                instance or dict with compatible properties
-            meanline
-                :class:`plotly.graph_objects.violin.Meanline`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover. For violin
-                traces, the name will also be used for the
-                position coordinate, if `x` and `x0` (`y` and
-                `y0` if horizontal) are missing and the
-                position axis is categorical. Note that the
-                trace name is also used as a default value for
-                attribute `scalegroup` (please see its
-                description for details).
-            offsetgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same offsetgroup
-                where bars of the same position coordinate will
-                line up.
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Sets the orientation of the violin(s). If "v"
-                ("h"), the distribution is visualized along the
-                vertical (horizontal).
-            pointpos
-                Sets the position of the sample points in
-                relation to the violins. If 0, the sample
-                points are places over the center of the
-                violins. Positive (negative) values correspond
-                to positions to the right (left) for vertical
-                violins and above (below) for horizontal
-                violins.
-            points
-                If "outliers", only the sample points lying
-                outside the whiskers are shown If
-                "suspectedoutliers", the outlier points are
-                shown and points either less than 4*Q1-3*Q3 or
-                greater than 4*Q3-3*Q1 are highlighted (see
-                `outliercolor`) If "all", all sample points are
-                shown If False, only the violins are shown with
-                no sample points. Defaults to
-                "suspectedoutliers" when `marker.outliercolor`
-                or `marker.line.outliercolor` is set, otherwise
-                defaults to "outliers".
-            scalegroup
-                If there are multiple violins that should be
-                sized according to to some metric (see
-                `scalemode`), link them by providing a non-
-                empty group id here shared by every trace in
-                the same group. If a violin's `width` is
-                undefined, `scalegroup` will default to the
-                trace's name. In this case, violins with the
-                same names will be linked together
-            scalemode
-                Sets the metric by which the width of each
-                violin is determined."width" means each violin
-                has the same (max) width*count* means the
-                violins are scaled by the number of sample
-                points makingup each violin.
-            selected
-                :class:`plotly.graph_objects.violin.Selected`
-                instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            side
-                Determines on which side of the position value
-                the density function making up one half of a
-                violin is plotted. Useful when comparing two
-                violin traces under "overlay" mode, where one
-                trace has `side` set to "positive" and the
-                other to "negative".
-            span
-                Sets the span in data space for which the
-                density function will be computed. Has an
-                effect only when `spanmode` is set to "manual".
-            spanmode
-                Sets the method by which the span in data space
-                where the density function will be computed.
-                "soft" means the span goes from the sample's
-                minimum value minus two bandwidths to the
-                sample's maximum value plus two bandwidths.
-                "hard" means the span goes from the sample's
-                minimum to its maximum value. For custom span
-                settings, use mode "manual" and fill in the
-                `span` attribute.
-            stream
-                :class:`plotly.graph_objects.violin.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each
-                sample value. If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to the this trace's (x,y) coordinates. To be
-                seen, trace `hoverinfo` must contain a "text"
-                flag.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.violin.Unselected`
-                instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            width
-                Sets the width of the violin in data
-                coordinates. If 0 (default value) the width is
-                automatically selected based on the positions
-                of other violin traces in the same subplot.
-            x
-                Sets the x sample data or coordinates. See
-                overview for more info.
-            x0
-                Sets the x coordinate for single-box traces or
-                the starting coordinate for multi-box traces
-                set using q1/median/q3. See overview for more
-                info.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y sample data or coordinates. See
-                overview for more info.
-            y0
-                Sets the y coordinate for single-box traces or
-                the starting coordinate for multi-box traces
-                set using q1/median/q3. See overview for more
-                info.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TreemapValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="treemap", parent_name="", **kwargs):
-        super(TreemapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Treemap"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            branchvalues
-                Determines how the items in `values` are
-                summed. When set to "total", items in `values`
-                are taken to be value of all its descendants.
-                When set to "remainder", items in `values`
-                corresponding to the root and the branches
-                sectors are taken to be the extra part not part
-                of the sum of the values at their leaves.
-            count
-                Determines default for `values` when it is not
-                provided, by inferring a 1 for each of the
-                "leaves" and/or "branches", otherwise 0.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            domain
-                :class:`plotly.graph_objects.treemap.Domain`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.treemap.Hoverlabel
-                ` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `currentPath`, `root`, `entry`,
-                `percentRoot`, `percentEntry` and
-                `percentParent`. Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                sector. If a single string, the same string
-                appears for all data points. If an array of
-                string, the items are mapped in order of this
-                trace's sectors. To be seen, trace `hoverinfo`
-                must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            insidetextfont
-                Sets the font used for `textinfo` lying inside
-                the sector.
-            labels
-                Sets the labels of each of the sectors.
-            labelssrc
-                Sets the source reference on Chart Studio Cloud
-                for  labels .
-            level
-                Sets the level from which this trace hierarchy
-                is rendered. Set `level` to `''` to start from
-                the root node in the hierarchy. Must be an "id"
-                if `ids` is filled in, otherwise plotly
-                attempts to find a matching item in `labels`.
-            marker
-                :class:`plotly.graph_objects.treemap.Marker`
-                instance or dict with compatible properties
-            maxdepth
-                Sets the number of rendered sectors from any
-                given `level`. Set `maxdepth` to "-1" to render
-                all the levels in the hierarchy.
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            outsidetextfont
-                Sets the font used for `textinfo` lying outside
-                the sector. This option refers to the root of
-                the hierarchy presented on top left corner of a
-                treemap graph. Please note that if a hierarchy
-                has multiple root nodes, this option won't have
-                any effect and `insidetextfont` would be used.
-            parents
-                Sets the parent sectors for each of the
-                sectors. Empty string items '' are understood
-                to reference the root node in the hierarchy. If
-                `ids` is filled, `parents` items are understood
-                to be "ids" themselves. When `ids` is not set,
-                plotly attempts to find matching items in
-                `labels`, but beware they must be unique.
-            parentssrc
-                Sets the source reference on Chart Studio Cloud
-                for  parents .
-            pathbar
-                :class:`plotly.graph_objects.treemap.Pathbar`
-                instance or dict with compatible properties
-            stream
-                :class:`plotly.graph_objects.treemap.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each sector.
-                If trace `textinfo` contains a "text" flag,
-                these elements will be seen on the chart. If
-                trace `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the font used for `textinfo`.
-            textinfo
-                Determines which trace information appear on
-                the graph.
-            textposition
-                Sets the positions of the `text` elements.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `currentPath`, `root`,
-                `entry`, `percentRoot`, `percentEntry`,
-                `percentParent`, `label` and `value`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            tiling
-                :class:`plotly.graph_objects.treemap.Tiling`
-                instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            values
-                Sets the values associated with each of the
-                sectors. Use with `branchvalues` to determine
-                how the values are summed.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TableValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="table", parent_name="", **kwargs):
-        super(TableValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Table"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            cells
-                :class:`plotly.graph_objects.table.Cells`
-                instance or dict with compatible properties
-            columnorder
-                Specifies the rendered order of the data
-                columns; for example, a value `2` at position
-                `0` means that column index `0` in the data
-                will be rendered as the third column, as
-                columns have an index base of zero.
-            columnordersrc
-                Sets the source reference on Chart Studio Cloud
-                for  columnorder .
-            columnwidth
-                The width of columns expressed as a ratio.
-                Columns fill the available width in proportion
-                of their specified column widths.
-            columnwidthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  columnwidth .
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            domain
-                :class:`plotly.graph_objects.table.Domain`
-                instance or dict with compatible properties
-            header
-                :class:`plotly.graph_objects.table.Header`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.table.Hoverlabel`
-                instance or dict with compatible properties
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            stream
-                :class:`plotly.graph_objects.table.Stream`
-                instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="surface", parent_name="", **kwargs):
-        super(SurfaceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Surface"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here z
-                or surfacecolor) or the bounds set in `cmin`
-                and `cmax`  Defaults to `false` when `cmin` and
-                `cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as z or surfacecolor
-                and if set, `cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as z or surfacecolor. Has no effect when
-                `cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as z or surfacecolor
-                and if set, `cmax` must be set as well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.surface.ColorBar`
-                instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the `z` data are filled in.
-            contours
-                :class:`plotly.graph_objects.surface.Contours`
-                instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hidesurface
-                Determines whether or not a surface is drawn.
-                For example, set `hidesurface` to False
-                `contours.x.show` to True and `contours.y.show`
-                to True to draw a wire frame plot.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.surface.Hoverlabel
-                ` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lighting
-                :class:`plotly.graph_objects.surface.Lighting`
-                instance or dict with compatible properties
-            lightposition
-                :class:`plotly.graph_objects.surface.Lightposit
-                ion` instance or dict with compatible
-                properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the surface. Please note
-                that in the case of using high `opacity` values
-                for example a value greater than or equal to
-                0.5 on two surfaces (and 0.25 with four
-                surfaces), an overlay of multiple transparent
-                surfaces may not perfectly be sorted in depth
-                by the webgl API. This behavior may be improved
-                in the near future and is subject to change.
-            opacityscale
-                Sets the opacityscale. The opacityscale must be
-                an array containing arrays mapping a normalized
-                value to an opacity value. At minimum, a
-                mapping for the lowest (0) and highest (1)
-                values are required. For example, `[[0, 1],
-                [0.5, 0.2], [1, 1]]` means that higher/lower
-                values would have higher opacity values and
-                those in the middle would be more transparent
-                Alternatively, `opacityscale` may be a palette
-                name string of the following list: 'min',
-                'max', 'extremes' and 'uniform'. The default is
-                'uniform'.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.surface.Stream`
-                instance or dict with compatible properties
-            surfacecolor
-                Sets the surface color values, used for setting
-                a color scale independent of `z`.
-            surfacecolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  surfacecolor .
-            text
-                Sets the text elements associated with each z
-                value. If trace `hoverinfo` contains a "text"
-                flag and "hovertext" is not set, these elements
-                will be seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the z coordinates.
-            zcalendar
-                Sets the calendar system to use with `z` date
-                data.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SunburstValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="sunburst", parent_name="", **kwargs):
-        super(SunburstValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Sunburst"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            branchvalues
-                Determines how the items in `values` are
-                summed. When set to "total", items in `values`
-                are taken to be value of all its descendants.
-                When set to "remainder", items in `values`
-                corresponding to the root and the branches
-                sectors are taken to be the extra part not part
-                of the sum of the values at their leaves.
-            count
-                Determines default for `values` when it is not
-                provided, by inferring a 1 for each of the
-                "leaves" and/or "branches", otherwise 0.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            domain
-                :class:`plotly.graph_objects.sunburst.Domain`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.sunburst.Hoverlabe
-                l` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `currentPath`, `root`, `entry`,
-                `percentRoot`, `percentEntry` and
-                `percentParent`. Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                sector. If a single string, the same string
-                appears for all data points. If an array of
-                string, the items are mapped in order of this
-                trace's sectors. To be seen, trace `hoverinfo`
-                must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            insidetextfont
-                Sets the font used for `textinfo` lying inside
-                the sector.
-            insidetextorientation
-                Controls the orientation of the text inside
-                chart sectors. When set to "auto", text may be
-                oriented in any direction in order to be as big
-                as possible in the middle of a sector. The
-                "horizontal" option orients text to be parallel
-                with the bottom of the chart, and may make text
-                smaller in order to achieve that goal. The
-                "radial" option orients text along the radius
-                of the sector. The "tangential" option orients
-                text perpendicular to the radius of the sector.
-            labels
-                Sets the labels of each of the sectors.
-            labelssrc
-                Sets the source reference on Chart Studio Cloud
-                for  labels .
-            leaf
-                :class:`plotly.graph_objects.sunburst.Leaf`
-                instance or dict with compatible properties
-            level
-                Sets the level from which this trace hierarchy
-                is rendered. Set `level` to `''` to start from
-                the root node in the hierarchy. Must be an "id"
-                if `ids` is filled in, otherwise plotly
-                attempts to find a matching item in `labels`.
-            marker
-                :class:`plotly.graph_objects.sunburst.Marker`
-                instance or dict with compatible properties
-            maxdepth
-                Sets the number of rendered sectors from any
-                given `level`. Set `maxdepth` to "-1" to render
-                all the levels in the hierarchy.
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            outsidetextfont
-                Sets the font used for `textinfo` lying outside
-                the sector. This option refers to the root of
-                the hierarchy presented at the center of a
-                sunburst graph. Please note that if a hierarchy
-                has multiple root nodes, this option won't have
-                any effect and `insidetextfont` would be used.
-            parents
-                Sets the parent sectors for each of the
-                sectors. Empty string items '' are understood
-                to reference the root node in the hierarchy. If
-                `ids` is filled, `parents` items are understood
-                to be "ids" themselves. When `ids` is not set,
-                plotly attempts to find matching items in
-                `labels`, but beware they must be unique.
-            parentssrc
-                Sets the source reference on Chart Studio Cloud
-                for  parents .
-            stream
-                :class:`plotly.graph_objects.sunburst.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each sector.
-                If trace `textinfo` contains a "text" flag,
-                these elements will be seen on the chart. If
-                trace `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the font used for `textinfo`.
-            textinfo
-                Determines which trace information appear on
-                the graph.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `currentPath`, `root`,
-                `entry`, `percentRoot`, `percentEntry`,
-                `percentParent`, `label` and `value`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            values
-                Sets the values associated with each of the
-                sectors. Use with `branchvalues` to determine
-                how the values are summed.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamtubeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="streamtube", parent_name="", **kwargs):
-        super(StreamtubeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Streamtube"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                u/v/w norm) or the bounds set in `cmin` and
-                `cmax`  Defaults to `false` when `cmin` and
-                `cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as u/v/w norm and if
-                set, `cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as u/v/w norm. Has no effect when `cauto` is
-                `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as u/v/w norm and if
-                set, `cmax` must be set as well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.streamtube.ColorBa
-                r` instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.streamtube.Hoverla
-                bel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `tubex`, `tubey`, `tubez`, `tubeu`,
-                `tubev`, `tubew`, `norm` and `divergence`.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lighting
-                :class:`plotly.graph_objects.streamtube.Lightin
-                g` instance or dict with compatible properties
-            lightposition
-                :class:`plotly.graph_objects.streamtube.Lightpo
-                sition` instance or dict with compatible
-                properties
-            maxdisplayed
-                The maximum number of displayed segments in a
-                streamtube.
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the surface. Please note
-                that in the case of using high `opacity` values
-                for example a value greater than or equal to
-                0.5 on two surfaces (and 0.25 with four
-                surfaces), an overlay of multiple transparent
-                surfaces may not perfectly be sorted in depth
-                by the webgl API. This behavior may be improved
-                in the near future and is subject to change.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            sizeref
-                The scaling factor for the streamtubes. The
-                default is 1, which avoids two max divergence
-                tubes from touching at adjacent starting
-                positions.
-            starts
-                :class:`plotly.graph_objects.streamtube.Starts`
-                instance or dict with compatible properties
-            stream
-                :class:`plotly.graph_objects.streamtube.Stream`
-                instance or dict with compatible properties
-            text
-                Sets a text element associated with this trace.
-                If trace `hoverinfo` contains a "text" flag,
-                this text element will be seen in all hover
-                labels. Note that streamtube traces do not
-                support array `text` values.
-            u
-                Sets the x components of the vector field.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            usrc
-                Sets the source reference on Chart Studio Cloud
-                for  u .
-            v
-                Sets the y components of the vector field.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            vsrc
-                Sets the source reference on Chart Studio Cloud
-                for  v .
-            w
-                Sets the z components of the vector field.
-            wsrc
-                Sets the source reference on Chart Studio Cloud
-                for  w .
-            x
-                Sets the x coordinates of the vector field.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates of the vector field.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the z coordinates of the vector field.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SplomValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="splom", parent_name="", **kwargs):
-        super(SplomValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Splom"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            diagonal
-                :class:`plotly.graph_objects.splom.Diagonal`
-                instance or dict with compatible properties
-            dimensions
-                A tuple of
-                :class:`plotly.graph_objects.splom.Dimension`
-                instances or dicts with compatible properties
-            dimensiondefaults
-                When used in a template (as
-                layout.template.data.splom.dimensiondefaults),
-                sets the default property values to use for
-                elements of splom.dimensions
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.splom.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.splom.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            selected
-                :class:`plotly.graph_objects.splom.Selected`
-                instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showlowerhalf
-                Determines whether or not subplots on the lower
-                half from the diagonal are displayed.
-            showupperhalf
-                Determines whether or not subplots on the upper
-                half from the diagonal are displayed.
-            stream
-                :class:`plotly.graph_objects.splom.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each (x,y)
-                pair to appear on hover. If a single string,
-                the same string appears over all the data
-                points. If an array of string, the items are
-                mapped in order to the this trace's (x,y)
-                coordinates.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.splom.Unselected`
-                instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            xaxes
-                Sets the list of x axes corresponding to
-                dimensions of this splom trace. By default, a
-                splom will match the first N xaxes where N is
-                the number of input dimensions. Note that, in
-                case where `diagonal.visible` is false and
-                `showupperhalf` or `showlowerhalf` is false,
-                this splom trace will generate one less x-axis
-                and one less y-axis.
-            yaxes
-                Sets the list of y axes corresponding to
-                dimensions of this splom trace. By default, a
-                splom will match the first N yaxes where N is
-                the number of input dimensions. Note that, in
-                case where `diagonal.visible` is false and
-                `showupperhalf` or `showlowerhalf` is false,
-                this splom trace will generate one less x-axis
-                and one less y-axis.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterternaryValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scatterternary", parent_name="", **kwargs):
-        super(ScatterternaryValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatterternary"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            a
-                Sets the quantity of component `a` in each data
-                point. If `a`, `b`, and `c` are all provided,
-                they need not be normalized, only the relative
-                values matter. If only two arrays are provided
-                they must be normalized to match
-                `ternary<i>.sum`.
-            asrc
-                Sets the source reference on Chart Studio Cloud
-                for  a .
-            b
-                Sets the quantity of component `a` in each data
-                point. If `a`, `b`, and `c` are all provided,
-                they need not be normalized, only the relative
-                values matter. If only two arrays are provided
-                they must be normalized to match
-                `ternary<i>.sum`.
-            bsrc
-                Sets the source reference on Chart Studio Cloud
-                for  b .
-            c
-                Sets the quantity of component `a` in each data
-                point. If `a`, `b`, and `c` are all provided,
-                they need not be normalized, only the relative
-                values matter. If only two arrays are provided
-                they must be normalized to match
-                `ternary<i>.sum`.
-            cliponaxis
-                Determines whether or not markers and text
-                nodes are clipped about the subplot axes. To
-                show markers and text nodes above axis lines
-                and tick labels, make sure to set `xaxis.layer`
-                and `yaxis.layer` to *below traces*.
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            csrc
-                Sets the source reference on Chart Studio Cloud
-                for  c .
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            fill
-                Sets the area to fill with a solid color. Use
-                with `fillcolor` if not "none". scatterternary
-                has a subset of the options available to
-                scatter. "toself" connects the endpoints of the
-                trace (or each segment of the trace if it has
-                gaps) into a closed shape. "tonext" fills the
-                space between two traces if one completely
-                encloses the other (eg consecutive contour
-                lines), and behaves like "toself" if there is
-                no trace before it. "tonext" should not be used
-                if one trace does not enclose the other.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scatterternary.Hov
-                erlabel` instance or dict with compatible
-                properties
-            hoveron
-                Do the hover effects highlight individual
-                points (markers or line points) or do they
-                highlight filled regions? If the fill is
-                "toself" or "tonext" and there are no markers
-                or text, then the default is "fills", otherwise
-                it is "points".
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (a,b,c) point. If a single string, the same
-                string appears over all the data points. If an
-                array of strings, the items are mapped in order
-                to the the data points in (a,b,c). To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scatterternary.Lin
-                e` instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scatterternary.Mar
-                ker` instance or dict with compatible
-                properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            selected
-                :class:`plotly.graph_objects.scatterternary.Sel
-                ected` instance or dict with compatible
-                properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scatterternary.Str
-                eam` instance or dict with compatible
-                properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a ternary subplot. If "ternary"
-                (the default value), the data refer to
-                `layout.ternary`. If "ternary2", the data refer
-                to `layout.ternary2`, and so on.
-            sum
-                The number each triplet should sum to, if only
-                two of `a`, `b`, and `c` are provided. This
-                overrides `ternary<i>.sum` to normalize this
-                specific trace, but does not affect the values
-                displayed on the axes. 0 (or missing) means to
-                use ternary<i>.sum
-            text
-                Sets text elements associated with each (a,b,c)
-                point. If a single string, the same string
-                appears over all the data points. If an array
-                of strings, the items are mapped in order to
-                the the data points in (a,b,c). If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `a`, `b`, `c` and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scatterternary.Uns
-                elected` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterpolarglValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scatterpolargl", parent_name="", **kwargs):
-        super(ScatterpolarglValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatterpolargl"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dr
-                Sets the r coordinate step.
-            dtheta
-                Sets the theta coordinate step. By default, the
-                `dtheta` step equals the subplot's period
-                divided by the length of the `r` coordinates.
-            fill
-                Sets the area to fill with a solid color.
-                Defaults to "none" unless this trace is
-                stacked, then it gets "tonexty" ("tonextx") if
-                `orientation` is "v" ("h") Use with `fillcolor`
-                if not "none". "tozerox" and "tozeroy" fill to
-                x=0 and y=0 respectively. "tonextx" and
-                "tonexty" fill between the endpoints of this
-                trace and the endpoints of the trace before it,
-                connecting those endpoints with straight lines
-                (to make a stacked area graph); if there is no
-                trace before it, they behave like "tozerox" and
-                "tozeroy". "toself" connects the endpoints of
-                the trace (or each segment of the trace if it
-                has gaps) into a closed shape. "tonext" fills
-                the space between two traces if one completely
-                encloses the other (eg consecutive contour
-                lines), and behaves like "toself" if there is
-                no trace before it. "tonext" should not be used
-                if one trace does not enclose the other. Traces
-                in a `stackgroup` will only fill to (or be
-                filled to) other traces in the same group. With
-                multiple `stackgroup`s or some traces stacked
-                and some not, if fill-linked traces are not
-                already consecutive, the later ones will be
-                pushed down in the drawing order.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scatterpolargl.Hov
-                erlabel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scatterpolargl.Lin
-                e` instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scatterpolargl.Mar
-                ker` instance or dict with compatible
-                properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            r
-                Sets the radial coordinates
-            r0
-                Alternate to `r`. Builds a linear space of r
-                coordinates. Use with `dr` where `r0` is the
-                starting coordinate and `dr` the step.
-            rsrc
-                Sets the source reference on Chart Studio Cloud
-                for  r .
-            selected
-                :class:`plotly.graph_objects.scatterpolargl.Sel
-                ected` instance or dict with compatible
-                properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scatterpolargl.Str
-                eam` instance or dict with compatible
-                properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a polar subplot. If "polar"
-                (the default value), the data refer to
-                `layout.polar`. If "polar2", the data refer to
-                `layout.polar2`, and so on.
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `r`, `theta` and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            theta
-                Sets the angular coordinates
-            theta0
-                Alternate to `theta`. Builds a linear space of
-                theta coordinates. Use with `dtheta` where
-                `theta0` is the starting coordinate and
-                `dtheta` the step.
-            thetasrc
-                Sets the source reference on Chart Studio Cloud
-                for  theta .
-            thetaunit
-                Sets the unit of input "theta" values. Has an
-                effect only when on "linear" angular axes.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scatterpolargl.Uns
-                elected` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterpolarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scatterpolar", parent_name="", **kwargs):
-        super(ScatterpolarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatterpolar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            cliponaxis
-                Determines whether or not markers and text
-                nodes are clipped about the subplot axes. To
-                show markers and text nodes above axis lines
-                and tick labels, make sure to set `xaxis.layer`
-                and `yaxis.layer` to *below traces*.
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dr
-                Sets the r coordinate step.
-            dtheta
-                Sets the theta coordinate step. By default, the
-                `dtheta` step equals the subplot's period
-                divided by the length of the `r` coordinates.
-            fill
-                Sets the area to fill with a solid color. Use
-                with `fillcolor` if not "none". scatterpolar
-                has a subset of the options available to
-                scatter. "toself" connects the endpoints of the
-                trace (or each segment of the trace if it has
-                gaps) into a closed shape. "tonext" fills the
-                space between two traces if one completely
-                encloses the other (eg consecutive contour
-                lines), and behaves like "toself" if there is
-                no trace before it. "tonext" should not be used
-                if one trace does not enclose the other.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scatterpolar.Hover
-                label` instance or dict with compatible
-                properties
-            hoveron
-                Do the hover effects highlight individual
-                points (markers or line points) or do they
-                highlight filled regions? If the fill is
-                "toself" or "tonext" and there are no markers
-                or text, then the default is "fills", otherwise
-                it is "points".
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scatterpolar.Line`
-                instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scatterpolar.Marke
-                r` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            r
-                Sets the radial coordinates
-            r0
-                Alternate to `r`. Builds a linear space of r
-                coordinates. Use with `dr` where `r0` is the
-                starting coordinate and `dr` the step.
-            rsrc
-                Sets the source reference on Chart Studio Cloud
-                for  r .
-            selected
-                :class:`plotly.graph_objects.scatterpolar.Selec
-                ted` instance or dict with compatible
-                properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scatterpolar.Strea
-                m` instance or dict with compatible properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a polar subplot. If "polar"
-                (the default value), the data refer to
-                `layout.polar`. If "polar2", the data refer to
-                `layout.polar2`, and so on.
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `r`, `theta` and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            theta
-                Sets the angular coordinates
-            theta0
-                Alternate to `theta`. Builds a linear space of
-                theta coordinates. Use with `dtheta` where
-                `theta0` is the starting coordinate and
-                `dtheta` the step.
-            thetasrc
-                Sets the source reference on Chart Studio Cloud
-                for  theta .
-            thetaunit
-                Sets the unit of input "theta" values. Has an
-                effect only when on "linear" angular axes.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scatterpolar.Unsel
-                ected` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattermapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scattermapbox", parent_name="", **kwargs):
-        super(ScattermapboxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattermapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            below
-                Determines if this scattermapbox trace's layers
-                are to be inserted before the layer with the
-                specified ID. By default, scattermapbox layers
-                are inserted above all the base layers. To
-                place the scattermapbox layers above every
-                other layer, set `below` to "''".
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            fill
-                Sets the area to fill with a solid color. Use
-                with `fillcolor` if not "none". "toself"
-                connects the endpoints of the trace (or each
-                segment of the trace if it has gaps) into a
-                closed shape.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scattermapbox.Hove
-                rlabel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (lon,lat) pair If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to the this trace's (lon,lat) coordinates. To
-                be seen, trace `hoverinfo` must contain a
-                "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            lat
-                Sets the latitude coordinates (in degrees
-                North).
-            latsrc
-                Sets the source reference on Chart Studio Cloud
-                for  lat .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scattermapbox.Line
-                ` instance or dict with compatible properties
-            lon
-                Sets the longitude coordinates (in degrees
-                East).
-            lonsrc
-                Sets the source reference on Chart Studio Cloud
-                for  lon .
-            marker
-                :class:`plotly.graph_objects.scattermapbox.Mark
-                er` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover.
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            selected
-                :class:`plotly.graph_objects.scattermapbox.Sele
-                cted` instance or dict with compatible
-                properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scattermapbox.Stre
-                am` instance or dict with compatible properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a mapbox subplot. If "mapbox"
-                (the default value), the data refer to
-                `layout.mapbox`. If "mapbox2", the data refer
-                to `layout.mapbox2`, and so on.
-            text
-                Sets text elements associated with each
-                (lon,lat) pair If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to the this trace's (lon,lat) coordinates. If
-                trace `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the icon text font
-                (color=mapbox.layer.paint.text-color,
-                size=mapbox.layer.layout.text-size). Has an
-                effect only when `type` is set to "symbol".
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `lat`, `lon` and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scattermapbox.Unse
-                lected` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterglValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scattergl", parent_name="", **kwargs):
-        super(ScatterglValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattergl"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            error_x
-                :class:`plotly.graph_objects.scattergl.ErrorX`
-                instance or dict with compatible properties
-            error_y
-                :class:`plotly.graph_objects.scattergl.ErrorY`
-                instance or dict with compatible properties
-            fill
-                Sets the area to fill with a solid color.
-                Defaults to "none" unless this trace is
-                stacked, then it gets "tonexty" ("tonextx") if
-                `orientation` is "v" ("h") Use with `fillcolor`
-                if not "none". "tozerox" and "tozeroy" fill to
-                x=0 and y=0 respectively. "tonextx" and
-                "tonexty" fill between the endpoints of this
-                trace and the endpoints of the trace before it,
-                connecting those endpoints with straight lines
-                (to make a stacked area graph); if there is no
-                trace before it, they behave like "tozerox" and
-                "tozeroy". "toself" connects the endpoints of
-                the trace (or each segment of the trace if it
-                has gaps) into a closed shape. "tonext" fills
-                the space between two traces if one completely
-                encloses the other (eg consecutive contour
-                lines), and behaves like "toself" if there is
-                no trace before it. "tonext" should not be used
-                if one trace does not enclose the other. Traces
-                in a `stackgroup` will only fill to (or be
-                filled to) other traces in the same group. With
-                multiple `stackgroup`s or some traces stacked
-                and some not, if fill-linked traces are not
-                already consecutive, the later ones will be
-                pushed down in the drawing order.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scattergl.Hoverlab
-                el` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scattergl.Line`
-                instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scattergl.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace.
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            selected
-                :class:`plotly.graph_objects.scattergl.Selected
-                ` instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scattergl.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scattergl.Unselect
-                ed` instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattergeoValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scattergeo", parent_name="", **kwargs):
-        super(ScattergeoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattergeo"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            featureidkey
-                Sets the key in GeoJSON features which is used
-                as id to match the items included in the
-                `locations` array. Only has an effect when
-                `geojson` is set. Support nested property, for
-                example "properties.name".
-            fill
-                Sets the area to fill with a solid color. Use
-                with `fillcolor` if not "none". "toself"
-                connects the endpoints of the trace (or each
-                segment of the trace if it has gaps) into a
-                closed shape.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            geo
-                Sets a reference between this trace's
-                geospatial coordinates and a geographic map. If
-                "geo" (the default value), the geospatial
-                coordinates refer to `layout.geo`. If "geo2",
-                the geospatial coordinates refer to
-                `layout.geo2`, and so on.
-            geojson
-                Sets optional GeoJSON data associated with this
-                trace. If not given, the features on the base
-                map are used when `locations` is set. It can be
-                set as a valid GeoJSON object or as a URL
-                string. Note that we only accept GeoJSONs of
-                type "FeatureCollection" or "Feature" with
-                geometries of type "Polygon" or "MultiPolygon".
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scattergeo.Hoverla
-                bel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (lon,lat) pair or item in `locations`. If a
-                single string, the same string appears over all
-                the data points. If an array of string, the
-                items are mapped in order to the this trace's
-                (lon,lat) or `locations` coordinates. To be
-                seen, trace `hoverinfo` must contain a "text"
-                flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            lat
-                Sets the latitude coordinates (in degrees
-                North).
-            latsrc
-                Sets the source reference on Chart Studio Cloud
-                for  lat .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scattergeo.Line`
-                instance or dict with compatible properties
-            locationmode
-                Determines the set of locations used to match
-                entries in `locations` to regions on the map.
-                Values "ISO-3", "USA-states", *country names*
-                correspond to features on the base map and
-                value "geojson-id" corresponds to features from
-                a custom GeoJSON linked to the `geojson`
-                attribute.
-            locations
-                Sets the coordinates via location IDs or names.
-                Coordinates correspond to the centroid of each
-                location given. See `locationmode` for more
-                info.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            lon
-                Sets the longitude coordinates (in degrees
-                East).
-            lonsrc
-                Sets the source reference on Chart Studio Cloud
-                for  lon .
-            marker
-                :class:`plotly.graph_objects.scattergeo.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            selected
-                :class:`plotly.graph_objects.scattergeo.Selecte
-                d` instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scattergeo.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each
-                (lon,lat) pair or item in `locations`. If a
-                single string, the same string appears over all
-                the data points. If an array of string, the
-                items are mapped in order to the this trace's
-                (lon,lat) or `locations` coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `lat`, `lon`, `location`
-                and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scattergeo.Unselec
-                ted` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattercarpetValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scattercarpet", parent_name="", **kwargs):
-        super(ScattercarpetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattercarpet"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            a
-                Sets the a-axis coordinates.
-            asrc
-                Sets the source reference on Chart Studio Cloud
-                for  a .
-            b
-                Sets the b-axis coordinates.
-            bsrc
-                Sets the source reference on Chart Studio Cloud
-                for  b .
-            carpet
-                An identifier for this carpet, so that
-                `scattercarpet` and `contourcarpet` traces can
-                specify a carpet plot on which they lie
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            fill
-                Sets the area to fill with a solid color. Use
-                with `fillcolor` if not "none". scatterternary
-                has a subset of the options available to
-                scatter. "toself" connects the endpoints of the
-                trace (or each segment of the trace if it has
-                gaps) into a closed shape. "tonext" fills the
-                space between two traces if one completely
-                encloses the other (eg consecutive contour
-                lines), and behaves like "toself" if there is
-                no trace before it. "tonext" should not be used
-                if one trace does not enclose the other.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scattercarpet.Hove
-                rlabel` instance or dict with compatible
-                properties
-            hoveron
-                Do the hover effects highlight individual
-                points (markers or line points) or do they
-                highlight filled regions? If the fill is
-                "toself" or "tonext" and there are no markers
-                or text, then the default is "fills", otherwise
-                it is "points".
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (a,b) point. If a single string, the same
-                string appears over all the data points. If an
-                array of strings, the items are mapped in order
-                to the the data points in (a,b). To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scattercarpet.Line
-                ` instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scattercarpet.Mark
-                er` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            selected
-                :class:`plotly.graph_objects.scattercarpet.Sele
-                cted` instance or dict with compatible
-                properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scattercarpet.Stre
-                am` instance or dict with compatible properties
-            text
-                Sets text elements associated with each (a,b)
-                point. If a single string, the same string
-                appears over all the data points. If an array
-                of strings, the items are mapped in order to
-                the the data points in (a,b). If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `a`, `b` and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scattercarpet.Unse
-                lected` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Scatter3dValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scatter3d", parent_name="", **kwargs):
-        super(Scatter3dValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatter3d"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            error_x
-                :class:`plotly.graph_objects.scatter3d.ErrorX`
-                instance or dict with compatible properties
-            error_y
-                :class:`plotly.graph_objects.scatter3d.ErrorY`
-                instance or dict with compatible properties
-            error_z
-                :class:`plotly.graph_objects.scatter3d.ErrorZ`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scatter3d.Hoverlab
-                el` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets text elements associated with each (x,y,z)
-                triplet. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y,z) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scatter3d.Line`
-                instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scatter3d.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            projection
-                :class:`plotly.graph_objects.scatter3d.Projecti
-                on` instance or dict with compatible properties
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.scatter3d.Stream`
-                instance or dict with compatible properties
-            surfaceaxis
-                If "-1", the scatter points are not fill with a
-                surface If 0, 1, 2, the scatter points are
-                filled with a Delaunay surface about the x, y,
-                z respectively.
-            surfacecolor
-                Sets the surface fill color.
-            text
-                Sets text elements associated with each (x,y,z)
-                triplet. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y,z) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                :class:`plotly.graph_objects.scatter3d.Textfont
-                ` instance or dict with compatible properties
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the z coordinates.
-            zcalendar
-                Sets the calendar system to use with `z` date
-                data.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scatter", parent_name="", **kwargs):
-        super(ScatterValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatter"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            cliponaxis
-                Determines whether or not markers and text
-                nodes are clipped about the subplot axes. To
-                show markers and text nodes above axis lines
-                and tick labels, make sure to set `xaxis.layer`
-                and `yaxis.layer` to *below traces*.
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the provided data arrays are
-                connected.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            error_x
-                :class:`plotly.graph_objects.scatter.ErrorX`
-                instance or dict with compatible properties
-            error_y
-                :class:`plotly.graph_objects.scatter.ErrorY`
-                instance or dict with compatible properties
-            fill
-                Sets the area to fill with a solid color.
-                Defaults to "none" unless this trace is
-                stacked, then it gets "tonexty" ("tonextx") if
-                `orientation` is "v" ("h") Use with `fillcolor`
-                if not "none". "tozerox" and "tozeroy" fill to
-                x=0 and y=0 respectively. "tonextx" and
-                "tonexty" fill between the endpoints of this
-                trace and the endpoints of the trace before it,
-                connecting those endpoints with straight lines
-                (to make a stacked area graph); if there is no
-                trace before it, they behave like "tozerox" and
-                "tozeroy". "toself" connects the endpoints of
-                the trace (or each segment of the trace if it
-                has gaps) into a closed shape. "tonext" fills
-                the space between two traces if one completely
-                encloses the other (eg consecutive contour
-                lines), and behaves like "toself" if there is
-                no trace before it. "tonext" should not be used
-                if one trace does not enclose the other. Traces
-                in a `stackgroup` will only fill to (or be
-                filled to) other traces in the same group. With
-                multiple `stackgroup`s or some traces stacked
-                and some not, if fill-linked traces are not
-                already consecutive, the later ones will be
-                pushed down in the drawing order.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            groupnorm
-                Only relevant when `stackgroup` is used, and
-                only the first `groupnorm` found in the
-                `stackgroup` will be used - including if
-                `visible` is "legendonly" but not if it is
-                `false`. Sets the normalization for the sum of
-                this `stackgroup`. With "fraction", the value
-                of each trace at each location is divided by
-                the sum of all trace values at that location.
-                "percent" is the same but multiplied by 100 to
-                show percentages. If there are multiple
-                subplots, or multiple `stackgroup`s on one
-                subplot, each will be normalized within its own
-                set.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.scatter.Hoverlabel
-                ` instance or dict with compatible properties
-            hoveron
-                Do the hover effects highlight individual
-                points (markers or line points) or do they
-                highlight filled regions? If the fill is
-                "toself" or "tonext" and there are no markers
-                or text, then the default is "fills", otherwise
-                it is "points".
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.scatter.Line`
-                instance or dict with compatible properties
-            marker
-                :class:`plotly.graph_objects.scatter.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines the drawing mode for this scatter
-                trace. If the provided `mode` includes "text"
-                then the `text` elements appear at the
-                coordinates. Otherwise, the `text` elements
-                appear on hover. If there are less than 20
-                points and the trace is not stacked then the
-                default is "lines+markers". Otherwise, "lines".
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Only relevant when `stackgroup` is used, and
-                only the first `orientation` found in the
-                `stackgroup` will be used - including if
-                `visible` is "legendonly" but not if it is
-                `false`. Sets the stacking direction. With "v"
-                ("h"), the y (x) values of subsequent traces
-                are added. Also affects the default value of
-                `fill`.
-            r
-                r coordinates in scatter traces are
-                deprecated!Please switch to the "scatterpolar"
-                trace type.Sets the radial coordinatesfor
-                legacy polar chart only.
-            rsrc
-                Sets the source reference on Chart Studio Cloud
-                for  r .
-            selected
-                :class:`plotly.graph_objects.scatter.Selected`
-                instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stackgaps
-                Only relevant when `stackgroup` is used, and
-                only the first `stackgaps` found in the
-                `stackgroup` will be used - including if
-                `visible` is "legendonly" but not if it is
-                `false`. Determines how we handle locations at
-                which other traces in this group have data but
-                this one does not. With *infer zero* we insert
-                a zero at these locations. With "interpolate"
-                we linearly interpolate between existing
-                values, and extrapolate a constant beyond the
-                existing values.
-            stackgroup
-                Set several scatter traces (on the same
-                subplot) to the same stackgroup in order to add
-                their y values (or their x values if
-                `orientation` is "h"). If blank or omitted this
-                trace will not be stacked. Stacking also turns
-                `fill` on by default, using "tonexty"
-                ("tonextx") if `orientation` is "h" ("v") and
-                sets the default `mode` to "lines" irrespective
-                of point count. You can only stack on a numeric
-                (linear or log) axis. Traces in a `stackgroup`
-                will only fill to (or be filled to) other
-                traces in the same group. With multiple
-                `stackgroup`s or some traces stacked and some
-                not, if fill-linked traces are not already
-                consecutive, the later ones will be pushed down
-                in the drawing order.
-            stream
-                :class:`plotly.graph_objects.scatter.Stream`
-                instance or dict with compatible properties
-            t
-                t coordinates in scatter traces are
-                deprecated!Please switch to the "scatterpolar"
-                trace type.Sets the angular coordinatesfor
-                legacy polar chart only.
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the text font.
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            tsrc
-                Sets the source reference on Chart Studio Cloud
-                for  t .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.scatter.Unselected
-                ` instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SankeyValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="sankey", parent_name="", **kwargs):
-        super(SankeyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Sankey"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            arrangement
-                If value is `snap` (the default), the node
-                arrangement is assisted by automatic snapping
-                of elements to preserve space between nodes
-                specified via `nodepad`. If value is
-                `perpendicular`, the nodes can only move along
-                a line perpendicular to the flow. If value is
-                `freeform`, the nodes can freely move on the
-                plane. If value is `fixed`, the nodes are
-                stationary.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            domain
-                :class:`plotly.graph_objects.sankey.Domain`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired. Note that this attribute is superseded
-                by `node.hoverinfo` and `node.hoverinfo` for
-                nodes and links respectively.
-            hoverlabel
-                :class:`plotly.graph_objects.sankey.Hoverlabel`
-                instance or dict with compatible properties
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            link
-                The links of the Sankey plot.
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            node
-                The nodes of the Sankey plot.
-            orientation
-                Sets the orientation of the Sankey diagram.
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            stream
-                :class:`plotly.graph_objects.sankey.Stream`
-                instance or dict with compatible properties
-            textfont
-                Sets the font for node labels
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            valueformat
-                Sets the value formatting rule using d3
-                formatting mini-language which is similar to
-                those of Python. See
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            valuesuffix
-                Adds a unit to follow the value in the hover
-                tooltip. Add a space if a separation is
-                necessary from the value.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PointcloudValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pointcloud", parent_name="", **kwargs):
-        super(PointcloudValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pointcloud"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.pointcloud.Hoverla
-                bel` instance or dict with compatible
-                properties
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            indices
-                A sequential value, 0..n, supply it to avoid
-                creating this array inside plotting. If
-                specified, it must be a typed `Int32Array`
-                array. Its length must be equal to or greater
-                than the number of points. For the best
-                performance and memory use, create one large
-                `indices` typed array that is guaranteed to be
-                at least as long as the largest number of
-                points during use, and reuse it on each
-                `Plotly.restyle()` call.
-            indicessrc
-                Sets the source reference on Chart Studio Cloud
-                for  indices .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.pointcloud.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.pointcloud.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xbounds
-                Specify `xbounds` in the shape of `[xMin, xMax]
-                to avoid looping through the `xy` typed array.
-                Use it in conjunction with `xy` and `ybounds`
-                for the performance benefits.
-            xboundssrc
-                Sets the source reference on Chart Studio Cloud
-                for  xbounds .
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            xy
-                Faster alternative to specifying `x` and `y`
-                separately. If supplied, it must be a typed
-                `Float32Array` array that represents points
-                such that `xy[i * 2] = x[i]` and `xy[i * 2 + 1]
-                = y[i]`
-            xysrc
-                Sets the source reference on Chart Studio Cloud
-                for  xy .
-            y
-                Sets the y coordinates.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ybounds
-                Specify `ybounds` in the shape of `[yMin, yMax]
-                to avoid looping through the `xy` typed array.
-                Use it in conjunction with `xy` and `xbounds`
-                for the performance benefits.
-            yboundssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ybounds .
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PieValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pie", parent_name="", **kwargs):
-        super(PieValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pie"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            automargin
-                Determines whether outside text labels can push
-                the margins.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            direction
-                Specifies the direction at which succeeding
-                sectors follow one another.
-            dlabel
-                Sets the label step. See `label0` for more
-                info.
-            domain
-                :class:`plotly.graph_objects.pie.Domain`
-                instance or dict with compatible properties
-            hole
-                Sets the fraction of the radius to cut out of
-                the pie. Use this to make a donut chart.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.pie.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `label`, `color`, `value`, `percent`
-                and `text`. Anything contained in tag `<extra>`
-                is displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                sector. If a single string, the same string
-                appears for all data points. If an array of
-                string, the items are mapped in order of this
-                trace's sectors. To be seen, trace `hoverinfo`
-                must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            insidetextfont
-                Sets the font used for `textinfo` lying inside
-                the sector.
-            insidetextorientation
-                Controls the orientation of the text inside
-                chart sectors. When set to "auto", text may be
-                oriented in any direction in order to be as big
-                as possible in the middle of a sector. The
-                "horizontal" option orients text to be parallel
-                with the bottom of the chart, and may make text
-                smaller in order to achieve that goal. The
-                "radial" option orients text along the radius
-                of the sector. The "tangential" option orients
-                text perpendicular to the radius of the sector.
-            label0
-                Alternate to `labels`. Builds a numeric set of
-                labels. Use with `dlabel` where `label0` is the
-                starting label and `dlabel` the step.
-            labels
-                Sets the sector labels. If `labels` entries are
-                duplicated, we sum associated `values` or
-                simply count occurrences if `values` is not
-                provided. For other array attributes (including
-                color) we use the first non-empty entry among
-                all occurrences of the label.
-            labelssrc
-                Sets the source reference on Chart Studio Cloud
-                for  labels .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.pie.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            outsidetextfont
-                Sets the font used for `textinfo` lying outside
-                the sector.
-            pull
-                Sets the fraction of larger radius to pull the
-                sectors out from the center. This can be a
-                constant to pull all slices apart from each
-                other equally or an array to highlight one or
-                more slices.
-            pullsrc
-                Sets the source reference on Chart Studio Cloud
-                for  pull .
-            rotation
-                Instead of the first slice starting at 12
-                o'clock, rotate to some other angle.
-            scalegroup
-                If there are multiple pie charts that should be
-                sized according to their totals, link them by
-                providing a non-empty group id here shared by
-                every trace in the same group.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            sort
-                Determines whether or not the sectors are
-                reordered from largest to smallest.
-            stream
-                :class:`plotly.graph_objects.pie.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each sector.
-                If trace `textinfo` contains a "text" flag,
-                these elements will be seen on the chart. If
-                trace `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the font used for `textinfo`.
-            textinfo
-                Determines which trace information appear on
-                the graph.
-            textposition
-                Specifies the location of the `textinfo`.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `label`, `color`, `value`,
-                `percent` and `text`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            title
-                :class:`plotly.graph_objects.pie.Title`
-                instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use pie.title.font instead.
-                Sets the font used for `title`. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleposition
-                Deprecated: Please use pie.title.position
-                instead. Specifies the location of the `title`.
-                Note that the title's position used to be set
-                by the now deprecated `titleposition`
-                attribute.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            values
-                Sets the values of the sectors. If omitted, we
-                count occurrences of each label.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParcoordsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="parcoords", parent_name="", **kwargs):
-        super(ParcoordsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Parcoords"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dimensions
-                The dimensions (variables) of the parallel
-                coordinates chart. 2..60 dimensions are
-                supported.
-            dimensiondefaults
-                When used in a template (as layout.template.dat
-                a.parcoords.dimensiondefaults), sets the
-                default property values to use for elements of
-                parcoords.dimensions
-            domain
-                :class:`plotly.graph_objects.parcoords.Domain`
-                instance or dict with compatible properties
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            labelangle
-                Sets the angle of the labels with respect to
-                the horizontal. For example, a `tickangle` of
-                -90 draws the labels vertically. Tilted labels
-                with "labelangle" may be positioned better
-                inside margins when `labelposition` is set to
-                "bottom".
-            labelfont
-                Sets the font for the `dimension` labels.
-            labelside
-                Specifies the location of the `label`. "top"
-                positions labels above, next to the title
-                "bottom" positions labels below the graph
-                Tilted labels with "labelangle" may be
-                positioned better inside margins when
-                `labelposition` is set to "bottom".
-            line
-                :class:`plotly.graph_objects.parcoords.Line`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            rangefont
-                Sets the font for the `dimension` range values.
-            stream
-                :class:`plotly.graph_objects.parcoords.Stream`
-                instance or dict with compatible properties
-            tickfont
-                Sets the font for the `dimension` tick values.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParcatsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="parcats", parent_name="", **kwargs):
-        super(ParcatsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Parcats"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            arrangement
-                Sets the drag interaction mode for categories
-                and dimensions. If `perpendicular`, the
-                categories can only move along a line
-                perpendicular to the paths. If `freeform`, the
-                categories can freely move on the plane. If
-                `fixed`, the categories and dimensions are
-                stationary.
-            bundlecolors
-                Sort paths so that like colors are bundled
-                together within each category.
-            counts
-                The number of observations represented by each
-                state. Defaults to 1 so that each state
-                represents one observation
-            countssrc
-                Sets the source reference on Chart Studio Cloud
-                for  counts .
-            dimensions
-                The dimensions (variables) of the parallel
-                categories diagram.
-            dimensiondefaults
-                When used in a template (as layout.template.dat
-                a.parcats.dimensiondefaults), sets the default
-                property values to use for elements of
-                parcats.dimensions
-            domain
-                :class:`plotly.graph_objects.parcats.Domain`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoveron
-                Sets the hover interaction mode for the parcats
-                diagram. If `category`, hover interaction take
-                place per category. If `color`, hover
-                interactions take place per color per category.
-                If `dimension`, hover interactions take place
-                across all categories per dimension.
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `count`, `probability`, `category`,
-                `categorycount`, `colorcount` and
-                `bandcolorcount`. Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            labelfont
-                Sets the font for the `dimension` labels.
-            line
-                :class:`plotly.graph_objects.parcats.Line`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            sortpaths
-                Sets the path sorting algorithm. If `forward`,
-                sort paths based on dimension categories from
-                left to right. If `backward`, sort paths based
-                on dimensions categories from right to left.
-            stream
-                :class:`plotly.graph_objects.parcats.Stream`
-                instance or dict with compatible properties
-            tickfont
-                Sets the font for the `category` labels.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OhlcValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="ohlc", parent_name="", **kwargs):
-        super(OhlcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Ohlc"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            close
-                Sets the close values.
-            closesrc
-                Sets the source reference on Chart Studio Cloud
-                for  close .
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            decreasing
-                :class:`plotly.graph_objects.ohlc.Decreasing`
-                instance or dict with compatible properties
-            high
-                Sets the high values.
-            highsrc
-                Sets the source reference on Chart Studio Cloud
-                for  high .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.ohlc.Hoverlabel`
-                instance or dict with compatible properties
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            increasing
-                :class:`plotly.graph_objects.ohlc.Increasing`
-                instance or dict with compatible properties
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.ohlc.Line`
-                instance or dict with compatible properties
-            low
-                Sets the low values.
-            lowsrc
-                Sets the source reference on Chart Studio Cloud
-                for  low .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            open
-                Sets the open values.
-            opensrc
-                Sets the source reference on Chart Studio Cloud
-                for  open .
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.ohlc.Stream`
-                instance or dict with compatible properties
-            text
-                Sets hover text elements associated with each
-                sample point. If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to this trace's sample points.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            tickwidth
-                Sets the width of the open/close tick marks
-                relative to the "x" minimal interval.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates. If absent, linear
-                coordinate will be generated.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Mesh3dValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="mesh3d", parent_name="", **kwargs):
-        super(Mesh3dValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Mesh3d"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alphahull
-                Determines how the mesh surface triangles are
-                derived from the set of vertices (points)
-                represented by the `x`, `y` and `z` arrays, if
-                the `i`, `j`, `k` arrays are not supplied. For
-                general use of `mesh3d` it is preferred that
-                `i`, `j`, `k` are supplied. If "-1", Delaunay
-                triangulation is used, which is mainly suitable
-                if the mesh is a single, more or less layer
-                surface that is perpendicular to
-                `delaunayaxis`. In case the `delaunayaxis`
-                intersects the mesh surface at more than one
-                point it will result triangles that are very
-                long in the dimension of `delaunayaxis`. If
-                ">0", the alpha-shape algorithm is used. In
-                this case, the positive `alphahull` value
-                signals the use of the alpha-shape algorithm,
-                _and_ its value acts as the parameter for the
-                mesh fitting. If 0,  the convex-hull algorithm
-                is used. It is suitable for convex bodies or if
-                the intention is to enclose the `x`, `y` and
-                `z` point set into a convex hull.
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                `intensity`) or the bounds set in `cmin` and
-                `cmax`  Defaults to `false` when `cmin` and
-                `cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as `intensity` and
-                if set, `cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as `intensity`. Has no effect when `cauto` is
-                `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as `intensity` and
-                if set, `cmax` must be set as well.
-            color
-                Sets the color of the whole mesh
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.mesh3d.ColorBar`
-                instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            contour
-                :class:`plotly.graph_objects.mesh3d.Contour`
-                instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            delaunayaxis
-                Sets the Delaunay axis, which is the axis that
-                is perpendicular to the surface of the Delaunay
-                triangulation. It has an effect if `i`, `j`,
-                `k` are not provided and `alphahull` is set to
-                indicate Delaunay triangulation.
-            facecolor
-                Sets the color of each face Overrides "color"
-                and "vertexcolor".
-            facecolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  facecolor .
-            flatshading
-                Determines whether or not normal smoothing is
-                applied to the meshes, creating meshes with an
-                angular, low-poly look via flat reflections.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.mesh3d.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            i
-                A vector of vertex indices, i.e. integer values
-                between 0 and the length of the vertex vectors,
-                representing the "first" vertex of a triangle.
-                For example, `{i[m], j[m], k[m]}` together
-                represent face m (triangle m) in the mesh,
-                where `i[m] = n` points to the triplet `{x[n],
-                y[n], z[n]}` in the vertex arrays. Therefore,
-                each element in `i` represents a point in
-                space, which is the first vertex of a triangle.
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            intensity
-                Sets the intensity values for vertices or cells
-                as defined by `intensitymode`. It can be used
-                for plotting fields on meshes.
-            intensitymode
-                Determines the source of `intensity` values.
-            intensitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  intensity .
-            isrc
-                Sets the source reference on Chart Studio Cloud
-                for  i .
-            j
-                A vector of vertex indices, i.e. integer values
-                between 0 and the length of the vertex vectors,
-                representing the "second" vertex of a triangle.
-                For example, `{i[m], j[m], k[m]}`  together
-                represent face m (triangle m) in the mesh,
-                where `j[m] = n` points to the triplet `{x[n],
-                y[n], z[n]}` in the vertex arrays. Therefore,
-                each element in `j` represents a point in
-                space, which is the second vertex of a
-                triangle.
-            jsrc
-                Sets the source reference on Chart Studio Cloud
-                for  j .
-            k
-                A vector of vertex indices, i.e. integer values
-                between 0 and the length of the vertex vectors,
-                representing the "third" vertex of a triangle.
-                For example, `{i[m], j[m], k[m]}` together
-                represent face m (triangle m) in the mesh,
-                where `k[m] = n` points to the triplet  `{x[n],
-                y[n], z[n]}` in the vertex arrays. Therefore,
-                each element in `k` represents a point in
-                space, which is the third vertex of a triangle.
-            ksrc
-                Sets the source reference on Chart Studio Cloud
-                for  k .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lighting
-                :class:`plotly.graph_objects.mesh3d.Lighting`
-                instance or dict with compatible properties
-            lightposition
-                :class:`plotly.graph_objects.mesh3d.Lightpositi
-                on` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the surface. Please note
-                that in the case of using high `opacity` values
-                for example a value greater than or equal to
-                0.5 on two surfaces (and 0.25 with four
-                surfaces), an overlay of multiple transparent
-                surfaces may not perfectly be sorted in depth
-                by the webgl API. This behavior may be improved
-                in the near future and is subject to change.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.mesh3d.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with the
-                vertices. If trace `hoverinfo` contains a
-                "text" flag and "hovertext" is not set, these
-                elements will be seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            vertexcolor
-                Sets the color of each vertex Overrides
-                "color". While Red, green and blue colors are
-                in the range of 0 and 255; in the case of
-                having vertex color data in RGBA format, the
-                alpha color should be normalized to be between
-                0 and 1.
-            vertexcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  vertexcolor .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the X coordinates of the vertices. The nth
-                element of vectors `x`, `y` and `z` jointly
-                represent the X, Y and Z coordinates of the nth
-                vertex.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the Y coordinates of the vertices. The nth
-                element of vectors `x`, `y` and `z` jointly
-                represent the X, Y and Z coordinates of the nth
-                vertex.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the Z coordinates of the vertices. The nth
-                element of vectors `x`, `y` and `z` jointly
-                represent the X, Y and Z coordinates of the nth
-                vertex.
-            zcalendar
-                Sets the calendar system to use with `z` date
-                data.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsosurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="isosurface", parent_name="", **kwargs):
-        super(IsosurfaceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Isosurface"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            caps
-                :class:`plotly.graph_objects.isosurface.Caps`
-                instance or dict with compatible properties
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                `value`) or the bounds set in `cmin` and `cmax`
-                Defaults to `false` when `cmin` and `cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as `value` and if
-                set, `cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as `value`. Has no effect when `cauto` is
-                `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as `value` and if
-                set, `cmax` must be set as well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.isosurface.ColorBa
-                r` instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            contour
-                :class:`plotly.graph_objects.isosurface.Contour
-                ` instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            flatshading
-                Determines whether or not normal smoothing is
-                applied to the meshes, creating meshes with an
-                angular, low-poly look via flat reflections.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.isosurface.Hoverla
-                bel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            isomax
-                Sets the maximum boundary for iso-surface plot.
-            isomin
-                Sets the minimum boundary for iso-surface plot.
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lighting
-                :class:`plotly.graph_objects.isosurface.Lightin
-                g` instance or dict with compatible properties
-            lightposition
-                :class:`plotly.graph_objects.isosurface.Lightpo
-                sition` instance or dict with compatible
-                properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the surface. Please note
-                that in the case of using high `opacity` values
-                for example a value greater than or equal to
-                0.5 on two surfaces (and 0.25 with four
-                surfaces), an overlay of multiple transparent
-                surfaces may not perfectly be sorted in depth
-                by the webgl API. This behavior may be improved
-                in the near future and is subject to change.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            slices
-                :class:`plotly.graph_objects.isosurface.Slices`
-                instance or dict with compatible properties
-            spaceframe
-                :class:`plotly.graph_objects.isosurface.Spacefr
-                ame` instance or dict with compatible
-                properties
-            stream
-                :class:`plotly.graph_objects.isosurface.Stream`
-                instance or dict with compatible properties
-            surface
-                :class:`plotly.graph_objects.isosurface.Surface
-                ` instance or dict with compatible properties
-            text
-                Sets the text elements associated with the
-                vertices. If trace `hoverinfo` contains a
-                "text" flag and "hovertext" is not set, these
-                elements will be seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            value
-                Sets the 4th dimension (value) of the vertices.
-            valuesrc
-                Sets the source reference on Chart Studio Cloud
-                for  value .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the X coordinates of the vertices on X
-                axis.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the Y coordinates of the vertices on Y
-                axis.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the Z coordinates of the vertices on Z
-                axis.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IndicatorValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="indicator", parent_name="", **kwargs):
-        super(IndicatorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Indicator"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the `text`
-                within the box. Note that this attribute has no
-                effect if an angular gauge is displayed: in
-                this case, it is always centered
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            delta
-                :class:`plotly.graph_objects.indicator.Delta`
-                instance or dict with compatible properties
-            domain
-                :class:`plotly.graph_objects.indicator.Domain`
-                instance or dict with compatible properties
-            gauge
-                The gauge of the Indicator plot.
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            mode
-                Determines how the value is displayed on the
-                graph. `number` displays the value numerically
-                in text. `delta` displays the difference to a
-                reference value in text. Finally, `gauge`
-                displays the value graphically on an axis.
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            number
-                :class:`plotly.graph_objects.indicator.Number`
-                instance or dict with compatible properties
-            stream
-                :class:`plotly.graph_objects.indicator.Stream`
-                instance or dict with compatible properties
-            title
-                :class:`plotly.graph_objects.indicator.Title`
-                instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            value
-                Sets the number to be displayed.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ImageValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="image", parent_name="", **kwargs):
-        super(ImageValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Image"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            colormodel
-                Color model used to map the numerical color
-                components described in `z` into colors.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Set the pixel's horizontal size.
-            dy
-                Set the pixel's vertical size
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.image.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `z`, `color` and `colormodel`.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            stream
-                :class:`plotly.graph_objects.image.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each z
-                value.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x0
-                Set the image's x position.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            y0
-                Set the image's y position.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            z
-                A 2-dimensional array in which each element is
-                an array of 3 or 4 numbers representing a
-                color.
-            zmax
-                Array defining the higher bound for each color
-                component. Note that the default value will
-                depend on the colormodel. For the `rgb`
-                colormodel, it is [255, 255, 255]. For the
-                `rgba` colormodel, it is [255, 255, 255, 1].
-                For the `hsl` colormodel, it is [360, 100,
-                100]. For the `hsla` colormodel, it is [360,
-                100, 100, 1].
-            zmin
-                Array defining the lower bound for each color
-                component. Note that the default value will
-                depend on the colormodel. For the `rgb`
-                colormodel, it is [0, 0, 0]. For the `rgba`
-                colormodel, it is [0, 0, 0, 0]. For the `hsl`
-                colormodel, it is [0, 0, 0]. For the `hsla`
-                colormodel, it is [0, 0, 0, 0].
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Histogram2dContourValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="histogram2dcontour", parent_name="", **kwargs):
-        super(Histogram2dContourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Histogram2dContour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autobinx
-                Obsolete: since v1.42 each bin attribute is
-                auto-determined separately and `autobinx` is
-                not needed. However, we accept `autobinx: true`
-                or `false` and will update `xbins` accordingly
-                before deleting `autobinx` from the trace.
-            autobiny
-                Obsolete: since v1.42 each bin attribute is
-                auto-determined separately and `autobiny` is
-                not needed. However, we accept `autobiny: true`
-                or `false` and will update `ybins` accordingly
-                before deleting `autobiny` from the trace.
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            autocontour
-                Determines whether or not the contour level
-                attributes are picked by an algorithm. If True,
-                the number of contour levels can be set in
-                `ncontours`. If False, set the contour level
-                attributes in `contours`.
-            bingroup
-                Set the `xbingroup` and `ybingroup` default
-                prefix For example, setting a `bingroup` of 1
-                on two histogram2d traces will make them their
-                x-bins and y-bins match separately.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.histogram2dcontour
-                .ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            contours
-                :class:`plotly.graph_objects.histogram2dcontour
-                .Contours` instance or dict with compatible
-                properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            histfunc
-                Specifies the binning function used for this
-                histogram trace. If "count", the histogram
-                values are computed by counting the number of
-                values lying inside each bin. If "sum", "avg",
-                "min", "max", the histogram values are computed
-                using the sum, the average, the minimum or the
-                maximum of the values lying inside each bin
-                respectively.
-            histnorm
-                Specifies the type of normalization used for
-                this histogram trace. If "", the span of each
-                bar corresponds to the number of occurrences
-                (i.e. the number of data points lying inside
-                the bins). If "percent" / "probability", the
-                span of each bar corresponds to the percentage
-                / fraction of occurrences with respect to the
-                total number of sample points (here, the sum of
-                all bin HEIGHTS equals 100% / 1). If "density",
-                the span of each bar corresponds to the number
-                of occurrences in a bin divided by the size of
-                the bin interval (here, the sum of all bin
-                AREAS equals the total number of sample
-                points). If *probability density*, the area of
-                each bar corresponds to the probability that an
-                event will fall into the corresponding bin
-                (here, the sum of all bin AREAS equals 1).
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.histogram2dcontour
-                .Hoverlabel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variable `z` Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.histogram2dcontour
-                .Line` instance or dict with compatible
-                properties
-            marker
-                :class:`plotly.graph_objects.histogram2dcontour
-                .Marker` instance or dict with compatible
-                properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            nbinsx
-                Specifies the maximum number of desired bins.
-                This value will be used in an algorithm that
-                will decide the optimal bin size such that the
-                histogram best visualizes the distribution of
-                the data. Ignored if `xbins.size` is provided.
-            nbinsy
-                Specifies the maximum number of desired bins.
-                This value will be used in an algorithm that
-                will decide the optimal bin size such that the
-                histogram best visualizes the distribution of
-                the data. Ignored if `ybins.size` is provided.
-            ncontours
-                Sets the maximum number of contour levels. The
-                actual number of contours will be chosen
-                automatically to be less than or equal to the
-                value of `ncontours`. Has an effect only if
-                `autocontour` is True or if `contours.size` is
-                missing.
-            opacity
-                Sets the opacity of the trace.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.histogram2dcontour
-                .Stream` instance or dict with compatible
-                properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the sample data to be binned on the x
-                axis.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xbingroup
-                Set a group of histogram traces which will have
-                compatible x-bin settings. Using `xbingroup`,
-                histogram2d and histogram2dcontour traces  (on
-                axes of the same axis type) can have compatible
-                x-bin settings. Note that the same `xbingroup`
-                value can be used to set (1D) histogram
-                `bingroup`
-            xbins
-                :class:`plotly.graph_objects.histogram2dcontour
-                .XBins` instance or dict with compatible
-                properties
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the sample data to be binned on the y
-                axis.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ybingroup
-                Set a group of histogram traces which will have
-                compatible y-bin settings. Using `ybingroup`,
-                histogram2d and histogram2dcontour traces  (on
-                axes of the same axis type) can have compatible
-                y-bin settings. Note that the same `ybingroup`
-                value can be used to set (1D) histogram
-                `bingroup`
-            ybins
-                :class:`plotly.graph_objects.histogram2dcontour
-                .YBins` instance or dict with compatible
-                properties
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the aggregation data.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zhoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. See:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Histogram2dValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="histogram2d", parent_name="", **kwargs):
-        super(Histogram2dValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Histogram2d"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autobinx
-                Obsolete: since v1.42 each bin attribute is
-                auto-determined separately and `autobinx` is
-                not needed. However, we accept `autobinx: true`
-                or `false` and will update `xbins` accordingly
-                before deleting `autobinx` from the trace.
-            autobiny
-                Obsolete: since v1.42 each bin attribute is
-                auto-determined separately and `autobiny` is
-                not needed. However, we accept `autobiny: true`
-                or `false` and will update `ybins` accordingly
-                before deleting `autobiny` from the trace.
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            bingroup
-                Set the `xbingroup` and `ybingroup` default
-                prefix For example, setting a `bingroup` of 1
-                on two histogram2d traces will make them their
-                x-bins and y-bins match separately.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.histogram2d.ColorB
-                ar` instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            histfunc
-                Specifies the binning function used for this
-                histogram trace. If "count", the histogram
-                values are computed by counting the number of
-                values lying inside each bin. If "sum", "avg",
-                "min", "max", the histogram values are computed
-                using the sum, the average, the minimum or the
-                maximum of the values lying inside each bin
-                respectively.
-            histnorm
-                Specifies the type of normalization used for
-                this histogram trace. If "", the span of each
-                bar corresponds to the number of occurrences
-                (i.e. the number of data points lying inside
-                the bins). If "percent" / "probability", the
-                span of each bar corresponds to the percentage
-                / fraction of occurrences with respect to the
-                total number of sample points (here, the sum of
-                all bin HEIGHTS equals 100% / 1). If "density",
-                the span of each bar corresponds to the number
-                of occurrences in a bin divided by the size of
-                the bin interval (here, the sum of all bin
-                AREAS equals the total number of sample
-                points). If *probability density*, the area of
-                each bar corresponds to the probability that an
-                event will fall into the corresponding bin
-                (here, the sum of all bin AREAS equals 1).
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.histogram2d.Hoverl
-                abel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variable `z` Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.histogram2d.Marker
-                ` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            nbinsx
-                Specifies the maximum number of desired bins.
-                This value will be used in an algorithm that
-                will decide the optimal bin size such that the
-                histogram best visualizes the distribution of
-                the data. Ignored if `xbins.size` is provided.
-            nbinsy
-                Specifies the maximum number of desired bins.
-                This value will be used in an algorithm that
-                will decide the optimal bin size such that the
-                histogram best visualizes the distribution of
-                the data. Ignored if `ybins.size` is provided.
-            opacity
-                Sets the opacity of the trace.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.histogram2d.Stream
-                ` instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the sample data to be binned on the x
-                axis.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xbingroup
-                Set a group of histogram traces which will have
-                compatible x-bin settings. Using `xbingroup`,
-                histogram2d and histogram2dcontour traces  (on
-                axes of the same axis type) can have compatible
-                x-bin settings. Note that the same `xbingroup`
-                value can be used to set (1D) histogram
-                `bingroup`
-            xbins
-                :class:`plotly.graph_objects.histogram2d.XBins`
-                instance or dict with compatible properties
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xgap
-                Sets the horizontal gap (in pixels) between
-                bricks.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the sample data to be binned on the y
-                axis.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ybingroup
-                Set a group of histogram traces which will have
-                compatible y-bin settings. Using `ybingroup`,
-                histogram2d and histogram2dcontour traces  (on
-                axes of the same axis type) can have compatible
-                y-bin settings. Note that the same `ybingroup`
-                value can be used to set (1D) histogram
-                `bingroup`
-            ybins
-                :class:`plotly.graph_objects.histogram2d.YBins`
-                instance or dict with compatible properties
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ygap
-                Sets the vertical gap (in pixels) between
-                bricks.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the aggregation data.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zhoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. See:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsmooth
-                Picks a smoothing algorithm use to smooth `z`
-                data.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistogramValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="histogram", parent_name="", **kwargs):
-        super(HistogramValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Histogram"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alignmentgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same
-                alignmentgroup. This controls whether bars
-                compute their positional range dependently or
-                independently.
-            autobinx
-                Obsolete: since v1.42 each bin attribute is
-                auto-determined separately and `autobinx` is
-                not needed. However, we accept `autobinx: true`
-                or `false` and will update `xbins` accordingly
-                before deleting `autobinx` from the trace.
-            autobiny
-                Obsolete: since v1.42 each bin attribute is
-                auto-determined separately and `autobiny` is
-                not needed. However, we accept `autobiny: true`
-                or `false` and will update `ybins` accordingly
-                before deleting `autobiny` from the trace.
-            bingroup
-                Set a group of histogram traces which will have
-                compatible bin settings. Note that traces on
-                the same subplot and with the same
-                "orientation" under `barmode` "stack",
-                "relative" and "group" are forced into the same
-                bingroup, Using `bingroup`, traces under
-                `barmode` "overlay" and on different axes (of
-                the same axis type) can have compatible bin
-                settings. Note that histogram and histogram2d*
-                trace can share the same `bingroup`
-            cumulative
-                :class:`plotly.graph_objects.histogram.Cumulati
-                ve` instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            error_x
-                :class:`plotly.graph_objects.histogram.ErrorX`
-                instance or dict with compatible properties
-            error_y
-                :class:`plotly.graph_objects.histogram.ErrorY`
-                instance or dict with compatible properties
-            histfunc
-                Specifies the binning function used for this
-                histogram trace. If "count", the histogram
-                values are computed by counting the number of
-                values lying inside each bin. If "sum", "avg",
-                "min", "max", the histogram values are computed
-                using the sum, the average, the minimum or the
-                maximum of the values lying inside each bin
-                respectively.
-            histnorm
-                Specifies the type of normalization used for
-                this histogram trace. If "", the span of each
-                bar corresponds to the number of occurrences
-                (i.e. the number of data points lying inside
-                the bins). If "percent" / "probability", the
-                span of each bar corresponds to the percentage
-                / fraction of occurrences with respect to the
-                total number of sample points (here, the sum of
-                all bin HEIGHTS equals 100% / 1). If "density",
-                the span of each bar corresponds to the number
-                of occurrences in a bin divided by the size of
-                the bin interval (here, the sum of all bin
-                AREAS equals the total number of sample
-                points). If *probability density*, the area of
-                each bar corresponds to the probability that an
-                event will fall into the corresponding bin
-                (here, the sum of all bin AREAS equals 1).
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.histogram.Hoverlab
-                el` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variable `binNumber` Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.histogram.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            nbinsx
-                Specifies the maximum number of desired bins.
-                This value will be used in an algorithm that
-                will decide the optimal bin size such that the
-                histogram best visualizes the distribution of
-                the data. Ignored if `xbins.size` is provided.
-            nbinsy
-                Specifies the maximum number of desired bins.
-                This value will be used in an algorithm that
-                will decide the optimal bin size such that the
-                histogram best visualizes the distribution of
-                the data. Ignored if `ybins.size` is provided.
-            offsetgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same offsetgroup
-                where bars of the same position coordinate will
-                line up.
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Sets the orientation of the bars. With "v"
-                ("h"), the value of the each bar spans along
-                the vertical (horizontal).
-            selected
-                :class:`plotly.graph_objects.histogram.Selected
-                ` instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.histogram.Stream`
-                instance or dict with compatible properties
-            text
-                Sets hover text elements associated with each
-                bar. If a single string, the same string
-                appears over all bars. If an array of string,
-                the items are mapped in order to the this
-                trace's coordinates.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.histogram.Unselect
-                ed` instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the sample data to be binned on the x
-                axis.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xbins
-                :class:`plotly.graph_objects.histogram.XBins`
-                instance or dict with compatible properties
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the sample data to be binned on the y
-                axis.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ybins
-                :class:`plotly.graph_objects.histogram.YBins`
-                instance or dict with compatible properties
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeatmapglValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="heatmapgl", parent_name="", **kwargs):
-        super(HeatmapglValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Heatmapgl"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.heatmapgl.ColorBar
-                ` instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.heatmapgl.Hoverlab
-                el` instance or dict with compatible properties
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.heatmapgl.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each z
-                value.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            transpose
-                Transposes the z data.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            xtype
-                If "array", the heatmap's x coordinates are
-                given by "x" (the default behavior when `x` is
-                provided). If "scaled", the heatmap's x
-                coordinates are given by "x0" and "dx" (the
-                default behavior when `x` is not provided).
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            ytype
-                If "array", the heatmap's y coordinates are
-                given by "y" (the default behavior when `y` is
-                provided) If "scaled", the heatmap's y
-                coordinates are given by "y0" and "dy" (the
-                default behavior when `y` is not provided)
-            z
-                Sets the z data.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeatmapValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="heatmap", parent_name="", **kwargs):
-        super(HeatmapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Heatmap"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.heatmap.ColorBar`
-                instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the `z` data are filled in.
-                It is defaulted to true if `z` is a one
-                dimensional array and `zsmooth` is not false;
-                otherwise it is defaulted to false.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.heatmap.Hoverlabel
-                ` instance or dict with compatible properties
-            hoverongaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the `z` data have hover
-                labels associated with them.
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.heatmap.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each z
-                value.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            transpose
-                Transposes the z data.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xgap
-                Sets the horizontal gap (in pixels) between
-                bricks.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            xtype
-                If "array", the heatmap's x coordinates are
-                given by "x" (the default behavior when `x` is
-                provided). If "scaled", the heatmap's x
-                coordinates are given by "x0" and "dx" (the
-                default behavior when `x` is not provided).
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ygap
-                Sets the vertical gap (in pixels) between
-                bricks.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            ytype
-                If "array", the heatmap's y coordinates are
-                given by "y" (the default behavior when `y` is
-                provided) If "scaled", the heatmap's y
-                coordinates are given by "y0" and "dy" (the
-                default behavior when `y` is not provided)
-            z
-                Sets the z data.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zhoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. See:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsmooth
-                Picks a smoothing algorithm use to smooth `z`
-                data.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelareaValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="funnelarea", parent_name="", **kwargs):
-        super(FunnelareaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Funnelarea"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            aspectratio
-                Sets the ratio between height and width
-            baseratio
-                Sets the ratio between bottom length and
-                maximum top length.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dlabel
-                Sets the label step. See `label0` for more
-                info.
-            domain
-                :class:`plotly.graph_objects.funnelarea.Domain`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.funnelarea.Hoverla
-                bel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `label`, `color`, `value`, `text` and
-                `percent`. Anything contained in tag `<extra>`
-                is displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                sector. If a single string, the same string
-                appears for all data points. If an array of
-                string, the items are mapped in order of this
-                trace's sectors. To be seen, trace `hoverinfo`
-                must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            insidetextfont
-                Sets the font used for `textinfo` lying inside
-                the sector.
-            label0
-                Alternate to `labels`. Builds a numeric set of
-                labels. Use with `dlabel` where `label0` is the
-                starting label and `dlabel` the step.
-            labels
-                Sets the sector labels. If `labels` entries are
-                duplicated, we sum associated `values` or
-                simply count occurrences if `values` is not
-                provided. For other array attributes (including
-                color) we use the first non-empty entry among
-                all occurrences of the label.
-            labelssrc
-                Sets the source reference on Chart Studio Cloud
-                for  labels .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.funnelarea.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            scalegroup
-                If there are multiple funnelareas that should
-                be sized according to their totals, link them
-                by providing a non-empty group id here shared
-                by every trace in the same group.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.funnelarea.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each sector.
-                If trace `textinfo` contains a "text" flag,
-                these elements will be seen on the chart. If
-                trace `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textfont
-                Sets the font used for `textinfo`.
-            textinfo
-                Determines which trace information appear on
-                the graph.
-            textposition
-                Specifies the location of the `textinfo`.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `label`, `color`, `value`,
-                `text` and `percent`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            title
-                :class:`plotly.graph_objects.funnelarea.Title`
-                instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            values
-                Sets the values of the sectors. If omitted, we
-                count occurrences of each label.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="funnel", parent_name="", **kwargs):
-        super(FunnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Funnel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alignmentgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same
-                alignmentgroup. This controls whether bars
-                compute their positional range dependently or
-                independently.
-            cliponaxis
-                Determines whether the text nodes are clipped
-                about the subplot axes. To show the text nodes
-                above axis lines and tick labels, make sure to
-                set `xaxis.layer` and `yaxis.layer` to *below
-                traces*.
-            connector
-                :class:`plotly.graph_objects.funnel.Connector`
-                instance or dict with compatible properties
-            constraintext
-                Constrain the size of text inside or outside a
-                bar to be no larger than the bar itself.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.funnel.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `percentInitial`, `percentPrevious`
-                and `percentTotal`. Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            insidetextanchor
-                Determines if texts are kept at center or
-                start/end points in `textposition` "inside"
-                mode.
-            insidetextfont
-                Sets the font used for `text` lying inside the
-                bar.
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.funnel.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            offset
-                Shifts the position where the bar is drawn (in
-                position axis units). In "group" barmode,
-                traces that set "offset" will be excluded and
-                drawn in "overlay" mode instead.
-            offsetgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same offsetgroup
-                where bars of the same position coordinate will
-                line up.
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Sets the orientation of the funnels. With "v"
-                ("h"), the value of the each bar spans along
-                the vertical (horizontal). By default funnels
-                are tend to be oriented horizontally; unless
-                only "y" array is presented or orientation is
-                set to "v". Also regarding graphs including
-                only 'horizontal' funnels, "autorange" on the
-                "y-axis" are set to "reversed".
-            outsidetextfont
-                Sets the font used for `text` lying outside the
-                bar.
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.funnel.Stream`
-                instance or dict with compatible properties
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textangle
-                Sets the angle of the tick labels with respect
-                to the bar. For example, a `tickangle` of -90
-                draws the tick labels vertically. With "auto"
-                the texts may automatically be rotated to fit
-                with the maximum size in bars.
-            textfont
-                Sets the font used for `text`.
-            textinfo
-                Determines which trace information appear on
-                the graph. In the case of having multiple
-                funnels, percentages & totals are computed
-                separately (per trace).
-            textposition
-                Specifies the location of the `text`. "inside"
-                positions `text` inside, next to the bar end
-                (rotated and scaled if needed). "outside"
-                positions `text` outside, next to the bar end
-                (scaled if needed), unless there is another bar
-                stacked on this one, then the text gets pushed
-                inside. "auto" tries to position `text` inside
-                the bar, but if the bar is too small and no bar
-                is stacked on this one the text is moved
-                outside.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `percentInitial`,
-                `percentPrevious`, `percentTotal`, `label` and
-                `value`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            width
-                Sets the bar width (in position axis units).
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DensitymapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="densitymapbox", parent_name="", **kwargs):
-        super(DensitymapboxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Densitymapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            below
-                Determines if the densitymapbox trace will be
-                inserted before the layer with the specified
-                ID. By default, densitymapbox traces are placed
-                below the first layer of type symbol If set to
-                '', the layer will be inserted above every
-                existing layer.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.densitymapbox.Colo
-                rBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.densitymapbox.Hove
-                rlabel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (lon,lat) pair If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to the this trace's (lon,lat) coordinates. To
-                be seen, trace `hoverinfo` must contain a
-                "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            lat
-                Sets the latitude coordinates (in degrees
-                North).
-            latsrc
-                Sets the source reference on Chart Studio Cloud
-                for  lat .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lon
-                Sets the longitude coordinates (in degrees
-                East).
-            lonsrc
-                Sets the source reference on Chart Studio Cloud
-                for  lon .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            radius
-                Sets the radius of influence of one `lon` /
-                `lat` point in pixels. Increasing the value
-                makes the densitymapbox trace smoother, but
-                less detailed.
-            radiussrc
-                Sets the source reference on Chart Studio Cloud
-                for  radius .
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.densitymapbox.Stre
-                am` instance or dict with compatible properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a mapbox subplot. If "mapbox"
-                (the default value), the data refer to
-                `layout.mapbox`. If "mapbox2", the data refer
-                to `layout.mapbox2`, and so on.
-            text
-                Sets text elements associated with each
-                (lon,lat) pair If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to the this trace's (lon,lat) coordinates. If
-                trace `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            z
-                Sets the points' weight. For example, a value
-                of 10 would be equivalent to having 10 points
-                of weight 1 in the same spot
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContourcarpetValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contourcarpet", parent_name="", **kwargs):
-        super(ContourcarpetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contourcarpet"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            a
-                Sets the x coordinates.
-            a0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            asrc
-                Sets the source reference on Chart Studio Cloud
-                for  a .
-            atype
-                If "array", the heatmap's x coordinates are
-                given by "x" (the default behavior when `x` is
-                provided). If "scaled", the heatmap's x
-                coordinates are given by "x0" and "dx" (the
-                default behavior when `x` is not provided).
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            autocontour
-                Determines whether or not the contour level
-                attributes are picked by an algorithm. If True,
-                the number of contour levels can be set in
-                `ncontours`. If False, set the contour level
-                attributes in `contours`.
-            b
-                Sets the y coordinates.
-            b0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            bsrc
-                Sets the source reference on Chart Studio Cloud
-                for  b .
-            btype
-                If "array", the heatmap's y coordinates are
-                given by "y" (the default behavior when `y` is
-                provided) If "scaled", the heatmap's y
-                coordinates are given by "y0" and "dy" (the
-                default behavior when `y` is not provided)
-            carpet
-                The `carpet` of the carpet axes on which this
-                contour trace lies
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.contourcarpet.Colo
-                rBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            contours
-                :class:`plotly.graph_objects.contourcarpet.Cont
-                ours` instance or dict with compatible
-                properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            da
-                Sets the x coordinate step. See `x0` for more
-                info.
-            db
-                Sets the y coordinate step. See `y0` for more
-                info.
-            fillcolor
-                Sets the fill color if `contours.type` is
-                "constraint". Defaults to a half-transparent
-                variant of the line color, marker color, or
-                marker line color, whichever is available.
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.contourcarpet.Line
-                ` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            ncontours
-                Sets the maximum number of contour levels. The
-                actual number of contours will be chosen
-                automatically to be less than or equal to the
-                value of `ncontours`. Has an effect only if
-                `autocontour` is True or if `contours.size` is
-                missing.
-            opacity
-                Sets the opacity of the trace.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.contourcarpet.Stre
-                am` instance or dict with compatible properties
-            text
-                Sets the text elements associated with each z
-                value.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            transpose
-                Transposes the z data.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            z
-                Sets the z data.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contour", parent_name="", **kwargs):
-        super(ContourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            autocontour
-                Determines whether or not the contour level
-                attributes are picked by an algorithm. If True,
-                the number of contour levels can be set in
-                `ncontours`. If False, set the contour level
-                attributes in `contours`.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.contour.ColorBar`
-                instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            connectgaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the `z` data are filled in.
-                It is defaulted to true if `z` is a one
-                dimensional array otherwise it is defaulted to
-                false.
-            contours
-                :class:`plotly.graph_objects.contour.Contours`
-                instance or dict with compatible properties
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            fillcolor
-                Sets the fill color if `contours.type` is
-                "constraint". Defaults to a half-transparent
-                variant of the line color, marker color, or
-                marker line color, whichever is available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.contour.Hoverlabel
-                ` instance or dict with compatible properties
-            hoverongaps
-                Determines whether or not gaps (i.e. {nan} or
-                missing values) in the `z` data have hover
-                labels associated with them.
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.contour.Line`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            ncontours
-                Sets the maximum number of contour levels. The
-                actual number of contours will be chosen
-                automatically to be less than or equal to the
-                value of `ncontours`. Has an effect only if
-                `autocontour` is True or if `contours.size` is
-                missing.
-            opacity
-                Sets the opacity of the trace.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.contour.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each z
-                value.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            transpose
-                Transposes the z data.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            xtype
-                If "array", the heatmap's x coordinates are
-                given by "x" (the default behavior when `x` is
-                provided). If "scaled", the heatmap's x
-                coordinates are given by "x0" and "dx" (the
-                default behavior when `x` is not provided).
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            ytype
-                If "array", the heatmap's y coordinates are
-                given by "y" (the default behavior when `y` is
-                provided) If "scaled", the heatmap's y
-                coordinates are given by "y0" and "dy" (the
-                default behavior when `y` is not provided)
-            z
-                Sets the z data.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zhoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. See:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="cone", parent_name="", **kwargs):
-        super(ConeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Cone"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            anchor
-                Sets the cones' anchor with respect to their
-                x/y/z positions. Note that "cm" denote the
-                cone's center of mass which corresponds to 1/4
-                from the tail to tip.
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                u/v/w norm) or the bounds set in `cmin` and
-                `cmax`  Defaults to `false` when `cmin` and
-                `cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as u/v/w norm and if
-                set, `cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as u/v/w norm. Has no effect when `cauto` is
-                `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as u/v/w norm and if
-                set, `cmax` must be set as well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.cone.ColorBar`
-                instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.cone.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variable `norm` Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            lighting
-                :class:`plotly.graph_objects.cone.Lighting`
-                instance or dict with compatible properties
-            lightposition
-                :class:`plotly.graph_objects.cone.Lightposition
-                ` instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the surface. Please note
-                that in the case of using high `opacity` values
-                for example a value greater than or equal to
-                0.5 on two surfaces (and 0.25 with four
-                surfaces), an overlay of multiple transparent
-                surfaces may not perfectly be sorted in depth
-                by the webgl API. This behavior may be improved
-                in the near future and is subject to change.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            scene
-                Sets a reference between this trace's 3D
-                coordinate system and a 3D scene. If "scene"
-                (the default value), the (x,y,z) coordinates
-                refer to `layout.scene`. If "scene2", the
-                (x,y,z) coordinates refer to `layout.scene2`,
-                and so on.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            sizemode
-                Determines whether `sizeref` is set as a
-                "scaled" (i.e unitless) scalar (normalized by
-                the max u/v/w norm in the vector field) or as
-                "absolute" value (in the same units as the
-                vector field).
-            sizeref
-                Adjusts the cone size scaling. The size of the
-                cones is determined by their u/v/w norm
-                multiplied a factor and `sizeref`. This factor
-                (computed internally) corresponds to the
-                minimum "time" to travel across two successive
-                x/y/z positions at the average velocity of
-                those two successive positions. All cones in a
-                given trace use the same factor. With
-                `sizemode` set to "scaled", `sizeref` is
-                unitless, its default value is 0.5 With
-                `sizemode` set to "absolute", `sizeref` has the
-                same units as the u/v/w vector field, its the
-                default value is half the sample's maximum
-                vector norm.
-            stream
-                :class:`plotly.graph_objects.cone.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with the
-                cones. If trace `hoverinfo` contains a "text"
-                flag and "hovertext" is not set, these elements
-                will be seen in the hover labels.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            u
-                Sets the x components of the vector field.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            usrc
-                Sets the source reference on Chart Studio Cloud
-                for  u .
-            v
-                Sets the y components of the vector field.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            vsrc
-                Sets the source reference on Chart Studio Cloud
-                for  v .
-            w
-                Sets the z components of the vector field.
-            wsrc
-                Sets the source reference on Chart Studio Cloud
-                for  w .
-            x
-                Sets the x coordinates of the vector field and
-                of the displayed cones.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates of the vector field and
-                of the displayed cones.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the z coordinates of the vector field and
-                of the displayed cones.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ChoroplethmapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="choroplethmapbox", parent_name="", **kwargs):
-        super(ChoroplethmapboxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Choroplethmapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            below
-                Determines if the choropleth polygons will be
-                inserted before the layer with the specified
-                ID. By default, choroplethmapbox traces are
-                placed above the water layers. If set to '',
-                the layer will be inserted above every existing
-                layer.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.choroplethmapbox.C
-                olorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            featureidkey
-                Sets the key in GeoJSON features which is used
-                as id to match the items included in the
-                `locations` array. Support nested property, for
-                example "properties.name".
-            geojson
-                Sets the GeoJSON data associated with this
-                trace. It can be set as a valid GeoJSON object
-                or as a URL string. Note that we only accept
-                GeoJSONs of type "FeatureCollection" or
-                "Feature" with geometries of type "Polygon" or
-                "MultiPolygon".
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.choroplethmapbox.H
-                overlabel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variable `properties` Anything contained in tag
-                `<extra>` is displayed in the secondary box,
-                for example "<extra>{fullData.name}</extra>".
-                To hide the secondary box completely, use an
-                empty tag `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            locations
-                Sets which features found in "geojson" to plot
-                using their feature `id` field.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            marker
-                :class:`plotly.graph_objects.choroplethmapbox.M
-                arker` instance or dict with compatible
-                properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            selected
-                :class:`plotly.graph_objects.choroplethmapbox.S
-                elected` instance or dict with compatible
-                properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.choroplethmapbox.S
-                tream` instance or dict with compatible
-                properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a mapbox subplot. If "mapbox"
-                (the default value), the data refer to
-                `layout.mapbox`. If "mapbox2", the data refer
-                to `layout.mapbox2`, and so on.
-            text
-                Sets the text elements associated with each
-                location.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.choroplethmapbox.U
-                nselected` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            z
-                Sets the color values.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ChoroplethValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="choropleth", parent_name="", **kwargs):
-        super(ChoroplethValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Choropleth"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.choropleth.ColorBa
-                r` instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`zmin` and
-                `zmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            featureidkey
-                Sets the key in GeoJSON features which is used
-                as id to match the items included in the
-                `locations` array. Only has an effect when
-                `geojson` is set. Support nested property, for
-                example "properties.name".
-            geo
-                Sets a reference between this trace's
-                geospatial coordinates and a geographic map. If
-                "geo" (the default value), the geospatial
-                coordinates refer to `layout.geo`. If "geo2",
-                the geospatial coordinates refer to
-                `layout.geo2`, and so on.
-            geojson
-                Sets optional GeoJSON data associated with this
-                trace. If not given, the features on the base
-                map are used. It can be set as a valid GeoJSON
-                object or as a URL string. Note that we only
-                accept GeoJSONs of type "FeatureCollection" or
-                "Feature" with geometries of type "Polygon" or
-                "MultiPolygon".
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.choropleth.Hoverla
-                bel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            locationmode
-                Determines the set of locations used to match
-                entries in `locations` to regions on the map.
-                Values "ISO-3", "USA-states", *country names*
-                correspond to features on the base map and
-                value "geojson-id" corresponds to features from
-                a custom GeoJSON linked to the `geojson`
-                attribute.
-            locations
-                Sets the coordinates via location IDs or names.
-                See `locationmode` for more info.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            marker
-                :class:`plotly.graph_objects.choropleth.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `zmin` will correspond to the last color in the
-                array and `zmax` will correspond to the first
-                color.
-            selected
-                :class:`plotly.graph_objects.choropleth.Selecte
-                d` instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-            stream
-                :class:`plotly.graph_objects.choropleth.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each
-                location.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.choropleth.Unselec
-                ted` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            z
-                Sets the color values.
-            zauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `z`) or the bounds set in `zmin` and `zmax`
-                Defaults to `false` when `zmin` and `zmax` are
-                set by the user.
-            zmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmin` must be set as well.
-            zmid
-                Sets the mid-point of the color domain by
-                scaling `zmin` and/or `zmax` to be equidistant
-                to this point. Value should have the same units
-                as in `z`. Has no effect when `zauto` is
-                `false`.
-            zmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as in `z` and if
-                set, `zmax` must be set as well.
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CarpetValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="carpet", parent_name="", **kwargs):
-        super(CarpetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Carpet"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            a
-                An array containing values of the first
-                parameter value
-            a0
-                Alternate to `a`. Builds a linear space of a
-                coordinates. Use with `da` where `a0` is the
-                starting coordinate and `da` the step.
-            aaxis
-                :class:`plotly.graph_objects.carpet.Aaxis`
-                instance or dict with compatible properties
-            asrc
-                Sets the source reference on Chart Studio Cloud
-                for  a .
-            b
-                A two dimensional array of y coordinates at
-                each carpet point.
-            b0
-                Alternate to `b`. Builds a linear space of a
-                coordinates. Use with `db` where `b0` is the
-                starting coordinate and `db` the step.
-            baxis
-                :class:`plotly.graph_objects.carpet.Baxis`
-                instance or dict with compatible properties
-            bsrc
-                Sets the source reference on Chart Studio Cloud
-                for  b .
-            carpet
-                An identifier for this carpet, so that
-                `scattercarpet` and `contourcarpet` traces can
-                specify a carpet plot on which they lie
-            cheaterslope
-                The shift applied to each successive row of
-                data in creating a cheater plot. Only used if
-                `x` is been ommitted.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            da
-                Sets the a coordinate step. See `a0` for more
-                info.
-            db
-                Sets the b coordinate step. See `b0` for more
-                info.
-            font
-                The default font used for axis & tick labels on
-                this carpet
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            stream
-                :class:`plotly.graph_objects.carpet.Stream`
-                instance or dict with compatible properties
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            x
-                A two dimensional array of x coordinates at
-                each carpet point. If ommitted, the plot is a
-                cheater plot and the xaxis is hidden by
-                default.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                A two dimensional array of y coordinates at
-                each carpet point.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CandlestickValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="candlestick", parent_name="", **kwargs):
-        super(CandlestickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Candlestick"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            close
-                Sets the close values.
-            closesrc
-                Sets the source reference on Chart Studio Cloud
-                for  close .
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            decreasing
-                :class:`plotly.graph_objects.candlestick.Decrea
-                sing` instance or dict with compatible
-                properties
-            high
-                Sets the high values.
-            highsrc
-                Sets the source reference on Chart Studio Cloud
-                for  high .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.candlestick.Hoverl
-                abel` instance or dict with compatible
-                properties
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            increasing
-                :class:`plotly.graph_objects.candlestick.Increa
-                sing` instance or dict with compatible
-                properties
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.candlestick.Line`
-                instance or dict with compatible properties
-            low
-                Sets the low values.
-            lowsrc
-                Sets the source reference on Chart Studio Cloud
-                for  low .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            open
-                Sets the open values.
-            opensrc
-                Sets the source reference on Chart Studio Cloud
-                for  open .
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.candlestick.Stream
-                ` instance or dict with compatible properties
-            text
-                Sets hover text elements associated with each
-                sample point. If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to this trace's sample points.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            whiskerwidth
-                Sets the width of the whiskers relative to the
-                box' width. For example, with 1, the whiskers
-                are as wide as the box(es).
-            x
-                Sets the x coordinates. If absent, linear
-                coordinate will be generated.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="box", parent_name="", **kwargs):
-        super(BoxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Box"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alignmentgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same
-                alignmentgroup. This controls whether bars
-                compute their positional range dependently or
-                independently.
-            boxmean
-                If True, the mean of the box(es)' underlying
-                distribution is drawn as a dashed line inside
-                the box(es). If "sd" the standard deviation is
-                also drawn. Defaults to True when `mean` is
-                set. Defaults to "sd" when `sd` is set
-                Otherwise defaults to False.
-            boxpoints
-                If "outliers", only the sample points lying
-                outside the whiskers are shown If
-                "suspectedoutliers", the outlier points are
-                shown and points either less than 4*Q1-3*Q3 or
-                greater than 4*Q3-3*Q1 are highlighted (see
-                `outliercolor`) If "all", all sample points are
-                shown If False, only the box(es) are shown with
-                no sample points Defaults to
-                "suspectedoutliers" when `marker.outliercolor`
-                or `marker.line.outliercolor` is set. Defaults
-                to "all" under the q1/median/q3 signature.
-                Otherwise defaults to "outliers".
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step for multi-box traces
-                set using q1/median/q3.
-            dy
-                Sets the y coordinate step for multi-box traces
-                set using q1/median/q3.
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.box.Hoverlabel`
-                instance or dict with compatible properties
-            hoveron
-                Do the hover effects highlight individual boxes
-                or sample points or both?
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            jitter
-                Sets the amount of jitter in the sample points
-                drawn. If 0, the sample points align along the
-                distribution axis. If 1, the sample points are
-                drawn in a random jitter of width equal to the
-                width of the box(es).
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            line
-                :class:`plotly.graph_objects.box.Line` instance
-                or dict with compatible properties
-            lowerfence
-                Sets the lower fence values. There should be as
-                many items as the number of boxes desired. This
-                attribute has effect only under the
-                q1/median/q3 signature. If `lowerfence` is not
-                provided but a sample (in `y` or `x`) is set,
-                we compute the lower as the last sample point
-                below 1.5 times the IQR.
-            lowerfencesrc
-                Sets the source reference on Chart Studio Cloud
-                for  lowerfence .
-            marker
-                :class:`plotly.graph_objects.box.Marker`
-                instance or dict with compatible properties
-            mean
-                Sets the mean values. There should be as many
-                items as the number of boxes desired. This
-                attribute has effect only under the
-                q1/median/q3 signature. If `mean` is not
-                provided but a sample (in `y` or `x`) is set,
-                we compute the mean for each box using the
-                sample values.
-            meansrc
-                Sets the source reference on Chart Studio Cloud
-                for  mean .
-            median
-                Sets the median values. There should be as many
-                items as the number of boxes desired.
-            mediansrc
-                Sets the source reference on Chart Studio Cloud
-                for  median .
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover. For box traces,
-                the name will also be used for the position
-                coordinate, if `x` and `x0` (`y` and `y0` if
-                horizontal) are missing and the position axis
-                is categorical
-            notched
-                Determines whether or not notches are drawn.
-                Notches displays a confidence interval around
-                the median. We compute the confidence interval
-                as median +/- 1.57 * IQR / sqrt(N), where IQR
-                is the interquartile range and N is the sample
-                size. If two boxes' notches do not overlap
-                there is 95% confidence their medians differ.
-                See https://sites.google.com/site/davidsstatist
-                ics/home/notched-box-plots for more info.
-                Defaults to False unless `notchwidth` or
-                `notchspan` is set.
-            notchspan
-                Sets the notch span from the boxes' `median`
-                values. There should be as many items as the
-                number of boxes desired. This attribute has
-                effect only under the q1/median/q3 signature.
-                If `notchspan` is not provided but a sample (in
-                `y` or `x`) is set, we compute it as 1.57 * IQR
-                / sqrt(N), where N is the sample size.
-            notchspansrc
-                Sets the source reference on Chart Studio Cloud
-                for  notchspan .
-            notchwidth
-                Sets the width of the notches relative to the
-                box' width. For example, with 0, the notches
-                are as wide as the box(es).
-            offsetgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same offsetgroup
-                where bars of the same position coordinate will
-                line up.
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Sets the orientation of the box(es). If "v"
-                ("h"), the distribution is visualized along the
-                vertical (horizontal).
-            pointpos
-                Sets the position of the sample points in
-                relation to the box(es). If 0, the sample
-                points are places over the center of the
-                box(es). Positive (negative) values correspond
-                to positions to the right (left) for vertical
-                boxes and above (below) for horizontal boxes
-            q1
-                Sets the Quartile 1 values. There should be as
-                many items as the number of boxes desired.
-            q1src
-                Sets the source reference on Chart Studio Cloud
-                for  q1 .
-            q3
-                Sets the Quartile 3 values. There should be as
-                many items as the number of boxes desired.
-            q3src
-                Sets the source reference on Chart Studio Cloud
-                for  q3 .
-            quartilemethod
-                Sets the method used to compute the sample's Q1
-                and Q3 quartiles. The "linear" method uses the
-                25th percentile for Q1 and 75th percentile for
-                Q3 as computed using method #10 (listed on http
-                ://www.amstat.org/publications/jse/v14n3/langfo
-                rd.html). The "exclusive" method uses the
-                median to divide the ordered dataset into two
-                halves if the sample is odd, it does not
-                include the median in either half - Q1 is then
-                the median of the lower half and Q3 the median
-                of the upper half. The "inclusive" method also
-                uses the median to divide the ordered dataset
-                into two halves but if the sample is odd, it
-                includes the median in both halves - Q1 is then
-                the median of the lower half and Q3 the median
-                of the upper half.
-            sd
-                Sets the standard deviation values. There
-                should be as many items as the number of boxes
-                desired. This attribute has effect only under
-                the q1/median/q3 signature. If `sd` is not
-                provided but a sample (in `y` or `x`) is set,
-                we compute the standard deviation for each box
-                using the sample values.
-            sdsrc
-                Sets the source reference on Chart Studio Cloud
-                for  sd .
-            selected
-                :class:`plotly.graph_objects.box.Selected`
-                instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.box.Stream`
-                instance or dict with compatible properties
-            text
-                Sets the text elements associated with each
-                sample value. If a single string, the same
-                string appears over all the data points. If an
-                array of string, the items are mapped in order
-                to the this trace's (x,y) coordinates. To be
-                seen, trace `hoverinfo` must contain a "text"
-                flag.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.box.Unselected`
-                instance or dict with compatible properties
-            upperfence
-                Sets the upper fence values. There should be as
-                many items as the number of boxes desired. This
-                attribute has effect only under the
-                q1/median/q3 signature. If `upperfence` is not
-                provided but a sample (in `y` or `x`) is set,
-                we compute the lower as the last sample point
-                above 1.5 times the IQR.
-            upperfencesrc
-                Sets the source reference on Chart Studio Cloud
-                for  upperfence .
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            whiskerwidth
-                Sets the width of the whiskers relative to the
-                box' width. For example, with 1, the whiskers
-                are as wide as the box(es).
-            width
-                Sets the width of the box in data coordinate If
-                0 (default value) the width is automatically
-                selected based on the positions of other box
-                traces in the same subplot.
-            x
-                Sets the x sample data or coordinates. See
-                overview for more info.
-            x0
-                Sets the x coordinate for single-box traces or
-                the starting coordinate for multi-box traces
-                set using q1/median/q3. See overview for more
-                info.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y sample data or coordinates. See
-                overview for more info.
-            y0
-                Sets the y coordinate for single-box traces or
-                the starting coordinate for multi-box traces
-                set using q1/median/q3. See overview for more
-                info.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarpolarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="barpolar", parent_name="", **kwargs):
-        super(BarpolarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Barpolar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            base
-                Sets where the bar base is drawn (in radial
-                axis units). In "stack" barmode, traces that
-                set "base" will be excluded and drawn in
-                "overlay" mode instead.
-            basesrc
-                Sets the source reference on Chart Studio Cloud
-                for  base .
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dr
-                Sets the r coordinate step.
-            dtheta
-                Sets the theta coordinate step. By default, the
-                `dtheta` step equals the subplot's period
-                divided by the length of the `r` coordinates.
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.barpolar.Hoverlabe
-                l` instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                Anything contained in tag `<extra>` is
-                displayed in the secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Same as `text`.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.barpolar.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            offset
-                Shifts the angular position where the bar is
-                drawn (in "thetatunit" units).
-            offsetsrc
-                Sets the source reference on Chart Studio Cloud
-                for  offset .
-            opacity
-                Sets the opacity of the trace.
-            r
-                Sets the radial coordinates
-            r0
-                Alternate to `r`. Builds a linear space of r
-                coordinates. Use with `dr` where `r0` is the
-                starting coordinate and `dr` the step.
-            rsrc
-                Sets the source reference on Chart Studio Cloud
-                for  r .
-            selected
-                :class:`plotly.graph_objects.barpolar.Selected`
-                instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.barpolar.Stream`
-                instance or dict with compatible properties
-            subplot
-                Sets a reference between this trace's data
-                coordinates and a polar subplot. If "polar"
-                (the default value), the data refer to
-                `layout.polar`. If "polar2", the data refer to
-                `layout.polar2`, and so on.
-            text
-                Sets hover text elements associated with each
-                bar. If a single string, the same string
-                appears over all bars. If an array of string,
-                the items are mapped in order to the this
-                trace's coordinates.
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            theta
-                Sets the angular coordinates
-            theta0
-                Alternate to `theta`. Builds a linear space of
-                theta coordinates. Use with `dtheta` where
-                `theta0` is the starting coordinate and
-                `dtheta` the step.
-            thetasrc
-                Sets the source reference on Chart Studio Cloud
-                for  theta .
-            thetaunit
-                Sets the unit of input "theta" values. Has an
-                effect only when on "linear" angular axes.
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.barpolar.Unselecte
-                d` instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            width
-                Sets the bar angular width (in "thetaunit"
-                units).
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="bar", parent_name="", **kwargs):
-        super(BarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Bar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            alignmentgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same
-                alignmentgroup. This controls whether bars
-                compute their positional range dependently or
-                independently.
-            base
-                Sets where the bar base is drawn (in position
-                axis units). In "stack" or "relative" barmode,
-                traces that set "base" will be excluded and
-                drawn in "overlay" mode instead.
-            basesrc
-                Sets the source reference on Chart Studio Cloud
-                for  base .
-            cliponaxis
-                Determines whether the text nodes are clipped
-                about the subplot axes. To show the text nodes
-                above axis lines and tick labels, make sure to
-                set `xaxis.layer` and `yaxis.layer` to *below
-                traces*.
-            constraintext
-                Constrain the size of text inside or outside a
-                bar to be no larger than the bar itself.
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            dx
-                Sets the x coordinate step. See `x0` for more
-                info.
-            dy
-                Sets the y coordinate step. See `y0` for more
-                info.
-            error_x
-                :class:`plotly.graph_objects.bar.ErrorX`
-                instance or dict with compatible properties
-            error_y
-                :class:`plotly.graph_objects.bar.ErrorY`
-                instance or dict with compatible properties
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.bar.Hoverlabel`
-                instance or dict with compatible properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `value` and `label`. Anything
-                contained in tag `<extra>` is displayed in the
-                secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            hovertext
-                Sets hover text elements associated with each
-                (x,y) pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. To be seen,
-                trace `hoverinfo` must contain a "text" flag.
-            hovertextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertext .
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            insidetextanchor
-                Determines if texts are kept at center or
-                start/end points in `textposition` "inside"
-                mode.
-            insidetextfont
-                Sets the font used for `text` lying inside the
-                bar.
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.bar.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            offset
-                Shifts the position where the bar is drawn (in
-                position axis units). In "group" barmode,
-                traces that set "offset" will be excluded and
-                drawn in "overlay" mode instead.
-            offsetgroup
-                Set several traces linked to the same position
-                axis or matching axes to the same offsetgroup
-                where bars of the same position coordinate will
-                line up.
-            offsetsrc
-                Sets the source reference on Chart Studio Cloud
-                for  offset .
-            opacity
-                Sets the opacity of the trace.
-            orientation
-                Sets the orientation of the bars. With "v"
-                ("h"), the value of the each bar spans along
-                the vertical (horizontal).
-            outsidetextfont
-                Sets the font used for `text` lying outside the
-                bar.
-            r
-                r coordinates in scatter traces are
-                deprecated!Please switch to the "scatterpolar"
-                trace type.Sets the radial coordinatesfor
-                legacy polar chart only.
-            rsrc
-                Sets the source reference on Chart Studio Cloud
-                for  r .
-            selected
-                :class:`plotly.graph_objects.bar.Selected`
-                instance or dict with compatible properties
-            selectedpoints
-                Array containing integer indices of selected
-                points. Has an effect only for traces that
-                support selections. Note that an empty array
-                means an empty selection where the `unselected`
-                are turned on for all points, whereas, any
-                other non-array values means no selection all
-                where the `selected` and `unselected` styles
-                have no effect.
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.bar.Stream`
-                instance or dict with compatible properties
-            t
-                t coordinates in scatter traces are
-                deprecated!Please switch to the "scatterpolar"
-                trace type.Sets the angular coordinatesfor
-                legacy polar chart only.
-            text
-                Sets text elements associated with each (x,y)
-                pair. If a single string, the same string
-                appears over all the data points. If an array
-                of string, the items are mapped in order to the
-                this trace's (x,y) coordinates. If trace
-                `hoverinfo` contains a "text" flag and
-                "hovertext" is not set, these elements will be
-                seen in the hover labels.
-            textangle
-                Sets the angle of the tick labels with respect
-                to the bar. For example, a `tickangle` of -90
-                draws the tick labels vertically. With "auto"
-                the texts may automatically be rotated to fit
-                with the maximum size in bars.
-            textfont
-                Sets the font used for `text`.
-            textposition
-                Specifies the location of the `text`. "inside"
-                positions `text` inside, next to the bar end
-                (rotated and scaled if needed). "outside"
-                positions `text` outside, next to the bar end
-                (scaled if needed), unless there is another bar
-                stacked on this one, then the text gets pushed
-                inside. "auto" tries to position `text` inside
-                the bar, but if the bar is too small and no bar
-                is stacked on this one the text is moved
-                outside.
-            textpositionsrc
-                Sets the source reference on Chart Studio Cloud
-                for  textposition .
-            textsrc
-                Sets the source reference on Chart Studio Cloud
-                for  text .
-            texttemplate
-                Template string used for rendering the
-                information text that appear on points. Note
-                that this will override `textinfo`. Variables
-                are inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax.
-                Every attributes that can be specified per-
-                point (the ones that are `arrayOk: true`) are
-                available. variables `value` and `label`.
-            texttemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  texttemplate .
-            tsrc
-                Sets the source reference on Chart Studio Cloud
-                for  t .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            unselected
-                :class:`plotly.graph_objects.bar.Unselected`
-                instance or dict with compatible properties
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-            width
-                Sets the bar width (in position axis units).
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-            x
-                Sets the x coordinates.
-            x0
-                Alternate to `x`. Builds a linear space of x
-                coordinates. Use with `dx` where `x0` is the
-                starting coordinate and `dx` the step.
-            xaxis
-                Sets a reference between this trace's x
-                coordinates and a 2D cartesian x axis. If "x"
-                (the default value), the x coordinates refer to
-                `layout.xaxis`. If "x2", the x coordinates
-                refer to `layout.xaxis2`, and so on.
-            xcalendar
-                Sets the calendar system to use with `x` date
-                data.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y coordinates.
-            y0
-                Alternate to `y`. Builds a linear space of y
-                coordinates. Use with `dy` where `y0` is the
-                starting coordinate and `dy` the step.
-            yaxis
-                Sets a reference between this trace's y
-                coordinates and a 2D cartesian y axis. If "y"
-                (the default value), the y coordinates refer to
-                `layout.yaxis`. If "y2", the y coordinates
-                refer to `layout.yaxis2`, and so on.
-            ycalendar
-                Sets the calendar system to use with `y` date
-                data.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AreaValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="area", parent_name="", **kwargs):
-        super(AreaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Area"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            customdata
-                Assigns extra data each datum. This may be
-                useful when listening to hover, click and
-                selection events. Note that, "scatter" traces
-                also appends customdata items in the markers
-                DOM elements
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hoverinfo
-                Determines which trace information appear on
-                hover. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverinfosrc
-                Sets the source reference on Chart Studio Cloud
-                for  hoverinfo .
-            hoverlabel
-                :class:`plotly.graph_objects.area.Hoverlabel`
-                instance or dict with compatible properties
-            ids
-                Assigns id labels to each datum. These ids for
-                object constancy of data points during
-                animation. Should be an array of strings, not
-                numbers or any other type.
-            idssrc
-                Sets the source reference on Chart Studio Cloud
-                for  ids .
-            legendgroup
-                Sets the legend group for this trace. Traces
-                part of the same legend group hide/show at the
-                same time when toggling legend items.
-            marker
-                :class:`plotly.graph_objects.area.Marker`
-                instance or dict with compatible properties
-            meta
-                Assigns extra meta information associated with
-                this trace that can be used in various text
-                attributes. Attributes such as trace `name`,
-                graph, axis and colorbar `title.text`,
-                annotation `text` `rangeselector`,
-                `updatemenues` and `sliders` `label` text all
-                support `meta`. To access the trace `meta`
-                values in an attribute in the same trace,
-                simply use `%{meta[i]}` where `i` is the index
-                or key of the `meta` item in question. To
-                access trace `meta` in layout attributes, use
-                `%{data[n[.meta[i]}` where `i` is the index or
-                key of the `meta` and `n` is the trace index.
-            metasrc
-                Sets the source reference on Chart Studio Cloud
-                for  meta .
-            name
-                Sets the trace name. The trace name appear as
-                the legend item and on hover.
-            opacity
-                Sets the opacity of the trace.
-            r
-                Area traces are deprecated! Please switch to
-                the "barpolar" trace type. Sets the radial
-                coordinates for legacy polar chart only.
-            rsrc
-                Sets the source reference on Chart Studio Cloud
-                for  r .
-            showlegend
-                Determines whether or not an item corresponding
-                to this trace is shown in the legend.
-            stream
-                :class:`plotly.graph_objects.area.Stream`
-                instance or dict with compatible properties
-            t
-                Area traces are deprecated! Please switch to
-                the "barpolar" trace type. Sets the angular
-                coordinates for legacy polar chart only.
-            tsrc
-                Sets the source reference on Chart Studio Cloud
-                for  t .
-            uid
-                Assign an id to this trace, Use this to provide
-                object constancy between traces during
-                animations and transitions.
-            uirevision
-                Controls persistence of some user-driven
-                changes to the trace: `constraintrange` in
-                `parcoords` traces, as well as some `editable:
-                true` modifications such as `name` and
-                `colorbar.title`. Defaults to
-                `layout.uirevision`. Note that other user-
-                driven trace attribute changes are controlled
-                by `layout` attributes: `trace.visible` is
-                controlled by `layout.legend.uirevision`,
-                `selectedpoints` is controlled by
-                `layout.selectionrevision`, and
-                `colorbar.(x|y)` (accessible with `config:
-                {editable: true}`) is controlled by
-                `layout.editrevision`. Trace changes are
-                tracked by `uid`, which only falls back on
-                trace index if no `uid` is provided. So if your
-                app can add/remove traces before the end of the
-                `data` array, such that the same trace has a
-                different index, you can still preserve user-
-                driven changes if you give each trace a `uid`
-                that stays with it as it moves.
-            visible
-                Determines whether or not this trace is
-                visible. If "legendonly", the trace is not
-                drawn, but can appear as a legend item
-                (provided that the legend itself is visible).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FramesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="frames", parent_name="", **kwargs):
-        super(FramesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Frame"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            baseframe
-                The name of the frame into which this frame's
-                properties are merged before applying. This is
-                used to unify properties and avoid needing to
-                specify the same values for the same properties
-                in multiple frames.
-            data
-                A list of traces this frame modifies. The
-                format is identical to the normal trace
-                definition.
-            group
-                An identifier that specifies the group to which
-                the frame belongs, used by animate to select a
-                subset of frames.
-            layout
-                Layout properties which this frame modifies.
-                The format is identical to the normal layout
-                definition.
-            name
-                A label by which to identify the frame
-            traces
-                A list of trace indices that identify the
-                respective traces in the data attribute
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DataValidator(_plotly_utils.basevalidators.BaseDataValidator):
-    def __init__(self, plotly_name="data", parent_name="", **kwargs):
-
-        super(DataValidator, self).__init__(
-            class_strs_map={
-                "area": "Area",
-                "bar": "Bar",
-                "barpolar": "Barpolar",
-                "box": "Box",
-                "candlestick": "Candlestick",
-                "carpet": "Carpet",
-                "choropleth": "Choropleth",
-                "choroplethmapbox": "Choroplethmapbox",
-                "cone": "Cone",
-                "contour": "Contour",
-                "contourcarpet": "Contourcarpet",
-                "densitymapbox": "Densitymapbox",
-                "funnel": "Funnel",
-                "funnelarea": "Funnelarea",
-                "heatmap": "Heatmap",
-                "heatmapgl": "Heatmapgl",
-                "histogram": "Histogram",
-                "histogram2d": "Histogram2d",
-                "histogram2dcontour": "Histogram2dContour",
-                "image": "Image",
-                "indicator": "Indicator",
-                "isosurface": "Isosurface",
-                "mesh3d": "Mesh3d",
-                "ohlc": "Ohlc",
-                "parcats": "Parcats",
-                "parcoords": "Parcoords",
-                "pie": "Pie",
-                "pointcloud": "Pointcloud",
-                "sankey": "Sankey",
-                "scatter": "Scatter",
-                "scatter3d": "Scatter3d",
-                "scattercarpet": "Scattercarpet",
-                "scattergeo": "Scattergeo",
-                "scattergl": "Scattergl",
-                "scattermapbox": "Scattermapbox",
-                "scatterpolar": "Scatterpolar",
-                "scatterpolargl": "Scatterpolargl",
-                "scatterternary": "Scatterternary",
-                "splom": "Splom",
-                "streamtube": "Streamtube",
-                "sunburst": "Sunburst",
-                "surface": "Surface",
-                "table": "Table",
-                "treemap": "Treemap",
-                "violin": "Violin",
-                "volume": "Volume",
-                "waterfall": "Waterfall",
-            },
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._waterfall import WaterfallValidator
+    from ._volume import VolumeValidator
+    from ._violin import ViolinValidator
+    from ._treemap import TreemapValidator
+    from ._table import TableValidator
+    from ._surface import SurfaceValidator
+    from ._sunburst import SunburstValidator
+    from ._streamtube import StreamtubeValidator
+    from ._splom import SplomValidator
+    from ._scatterternary import ScatterternaryValidator
+    from ._scatterpolargl import ScatterpolarglValidator
+    from ._scatterpolar import ScatterpolarValidator
+    from ._scattermapbox import ScattermapboxValidator
+    from ._scattergl import ScatterglValidator
+    from ._scattergeo import ScattergeoValidator
+    from ._scattercarpet import ScattercarpetValidator
+    from ._scatter3d import Scatter3DValidator
+    from ._scatter import ScatterValidator
+    from ._sankey import SankeyValidator
+    from ._pointcloud import PointcloudValidator
+    from ._pie import PieValidator
+    from ._parcoords import ParcoordsValidator
+    from ._parcats import ParcatsValidator
+    from ._ohlc import OhlcValidator
+    from ._mesh3d import Mesh3DValidator
+    from ._isosurface import IsosurfaceValidator
+    from ._indicator import IndicatorValidator
+    from ._image import ImageValidator
+    from ._histogram2dcontour import Histogram2DcontourValidator
+    from ._histogram2d import Histogram2DValidator
+    from ._histogram import HistogramValidator
+    from ._heatmapgl import HeatmapglValidator
+    from ._heatmap import HeatmapValidator
+    from ._funnelarea import FunnelareaValidator
+    from ._funnel import FunnelValidator
+    from ._densitymapbox import DensitymapboxValidator
+    from ._contourcarpet import ContourcarpetValidator
+    from ._contour import ContourValidator
+    from ._cone import ConeValidator
+    from ._choroplethmapbox import ChoroplethmapboxValidator
+    from ._choropleth import ChoroplethValidator
+    from ._carpet import CarpetValidator
+    from ._candlestick import CandlestickValidator
+    from ._box import BoxValidator
+    from ._barpolar import BarpolarValidator
+    from ._bar import BarValidator
+    from ._area import AreaValidator
+    from ._layout import LayoutValidator
+    from ._frames import FramesValidator
+    from ._data import DataValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._waterfall.WaterfallValidator",
+            "._volume.VolumeValidator",
+            "._violin.ViolinValidator",
+            "._treemap.TreemapValidator",
+            "._table.TableValidator",
+            "._surface.SurfaceValidator",
+            "._sunburst.SunburstValidator",
+            "._streamtube.StreamtubeValidator",
+            "._splom.SplomValidator",
+            "._scatterternary.ScatterternaryValidator",
+            "._scatterpolargl.ScatterpolarglValidator",
+            "._scatterpolar.ScatterpolarValidator",
+            "._scattermapbox.ScattermapboxValidator",
+            "._scattergl.ScatterglValidator",
+            "._scattergeo.ScattergeoValidator",
+            "._scattercarpet.ScattercarpetValidator",
+            "._scatter3d.Scatter3DValidator",
+            "._scatter.ScatterValidator",
+            "._sankey.SankeyValidator",
+            "._pointcloud.PointcloudValidator",
+            "._pie.PieValidator",
+            "._parcoords.ParcoordsValidator",
+            "._parcats.ParcatsValidator",
+            "._ohlc.OhlcValidator",
+            "._mesh3d.Mesh3DValidator",
+            "._isosurface.IsosurfaceValidator",
+            "._indicator.IndicatorValidator",
+            "._image.ImageValidator",
+            "._histogram2dcontour.Histogram2DcontourValidator",
+            "._histogram2d.Histogram2DValidator",
+            "._histogram.HistogramValidator",
+            "._heatmapgl.HeatmapglValidator",
+            "._heatmap.HeatmapValidator",
+            "._funnelarea.FunnelareaValidator",
+            "._funnel.FunnelValidator",
+            "._densitymapbox.DensitymapboxValidator",
+            "._contourcarpet.ContourcarpetValidator",
+            "._contour.ContourValidator",
+            "._cone.ConeValidator",
+            "._choroplethmapbox.ChoroplethmapboxValidator",
+            "._choropleth.ChoroplethValidator",
+            "._carpet.CarpetValidator",
+            "._candlestick.CandlestickValidator",
+            "._box.BoxValidator",
+            "._barpolar.BarpolarValidator",
+            "._bar.BarValidator",
+            "._area.AreaValidator",
+            "._layout.LayoutValidator",
+            "._frames.FramesValidator",
+            "._data.DataValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/_area.py b/packages/python/plotly/plotly/validators/_area.py
new file mode 100644
index 00000000000..f5b1c4ed2ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_area.py
@@ -0,0 +1,125 @@
+import _plotly_utils.basevalidators
+
+
+class AreaValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="area", parent_name="", **kwargs):
+        super(AreaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Area"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.area.Hoverlabel`
+                instance or dict with compatible properties
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.area.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            r
+                Area traces are deprecated! Please switch to
+                the "barpolar" trace type. Sets the radial
+                coordinates for legacy polar chart only.
+            rsrc
+                Sets the source reference on Chart Studio Cloud
+                for  r .
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.area.Stream`
+                instance or dict with compatible properties
+            t
+                Area traces are deprecated! Please switch to
+                the "barpolar" trace type. Sets the angular
+                coordinates for legacy polar chart only.
+            tsrc
+                Sets the source reference on Chart Studio Cloud
+                for  t .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_bar.py b/packages/python/plotly/plotly/validators/_bar.py
new file mode 100644
index 00000000000..42b2db18476
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_bar.py
@@ -0,0 +1,344 @@
+import _plotly_utils.basevalidators
+
+
+class BarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="bar", parent_name="", **kwargs):
+        super(BarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Bar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alignmentgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same
+                alignmentgroup. This controls whether bars
+                compute their positional range dependently or
+                independently.
+            base
+                Sets where the bar base is drawn (in position
+                axis units). In "stack" or "relative" barmode,
+                traces that set "base" will be excluded and
+                drawn in "overlay" mode instead.
+            basesrc
+                Sets the source reference on Chart Studio Cloud
+                for  base .
+            cliponaxis
+                Determines whether the text nodes are clipped
+                about the subplot axes. To show the text nodes
+                above axis lines and tick labels, make sure to
+                set `xaxis.layer` and `yaxis.layer` to *below
+                traces*.
+            constraintext
+                Constrain the size of text inside or outside a
+                bar to be no larger than the bar itself.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            error_x
+                :class:`plotly.graph_objects.bar.ErrorX`
+                instance or dict with compatible properties
+            error_y
+                :class:`plotly.graph_objects.bar.ErrorY`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.bar.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `value` and `label`. Anything
+                contained in tag `<extra>` is displayed in the
+                secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            insidetextanchor
+                Determines if texts are kept at center or
+                start/end points in `textposition` "inside"
+                mode.
+            insidetextfont
+                Sets the font used for `text` lying inside the
+                bar.
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.bar.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            offset
+                Shifts the position where the bar is drawn (in
+                position axis units). In "group" barmode,
+                traces that set "offset" will be excluded and
+                drawn in "overlay" mode instead.
+            offsetgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same offsetgroup
+                where bars of the same position coordinate will
+                line up.
+            offsetsrc
+                Sets the source reference on Chart Studio Cloud
+                for  offset .
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Sets the orientation of the bars. With "v"
+                ("h"), the value of the each bar spans along
+                the vertical (horizontal).
+            outsidetextfont
+                Sets the font used for `text` lying outside the
+                bar.
+            r
+                r coordinates in scatter traces are
+                deprecated!Please switch to the "scatterpolar"
+                trace type.Sets the radial coordinatesfor
+                legacy polar chart only.
+            rsrc
+                Sets the source reference on Chart Studio Cloud
+                for  r .
+            selected
+                :class:`plotly.graph_objects.bar.Selected`
+                instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.bar.Stream`
+                instance or dict with compatible properties
+            t
+                t coordinates in scatter traces are
+                deprecated!Please switch to the "scatterpolar"
+                trace type.Sets the angular coordinatesfor
+                legacy polar chart only.
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textangle
+                Sets the angle of the tick labels with respect
+                to the bar. For example, a `tickangle` of -90
+                draws the tick labels vertically. With "auto"
+                the texts may automatically be rotated to fit
+                with the maximum size in bars.
+            textfont
+                Sets the font used for `text`.
+            textposition
+                Specifies the location of the `text`. "inside"
+                positions `text` inside, next to the bar end
+                (rotated and scaled if needed). "outside"
+                positions `text` outside, next to the bar end
+                (scaled if needed), unless there is another bar
+                stacked on this one, then the text gets pushed
+                inside. "auto" tries to position `text` inside
+                the bar, but if the bar is too small and no bar
+                is stacked on this one the text is moved
+                outside.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `value` and `label`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            tsrc
+                Sets the source reference on Chart Studio Cloud
+                for  t .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.bar.Unselected`
+                instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            width
+                Sets the bar width (in position axis units).
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_barpolar.py b/packages/python/plotly/plotly/validators/_barpolar.py
new file mode 100644
index 00000000000..11268681be1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_barpolar.py
@@ -0,0 +1,225 @@
+import _plotly_utils.basevalidators
+
+
+class BarpolarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="barpolar", parent_name="", **kwargs):
+        super(BarpolarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Barpolar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            base
+                Sets where the bar base is drawn (in radial
+                axis units). In "stack" barmode, traces that
+                set "base" will be excluded and drawn in
+                "overlay" mode instead.
+            basesrc
+                Sets the source reference on Chart Studio Cloud
+                for  base .
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dr
+                Sets the r coordinate step.
+            dtheta
+                Sets the theta coordinate step. By default, the
+                `dtheta` step equals the subplot's period
+                divided by the length of the `r` coordinates.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.barpolar.Hoverlabe
+                l` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.barpolar.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            offset
+                Shifts the angular position where the bar is
+                drawn (in "thetatunit" units).
+            offsetsrc
+                Sets the source reference on Chart Studio Cloud
+                for  offset .
+            opacity
+                Sets the opacity of the trace.
+            r
+                Sets the radial coordinates
+            r0
+                Alternate to `r`. Builds a linear space of r
+                coordinates. Use with `dr` where `r0` is the
+                starting coordinate and `dr` the step.
+            rsrc
+                Sets the source reference on Chart Studio Cloud
+                for  r .
+            selected
+                :class:`plotly.graph_objects.barpolar.Selected`
+                instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.barpolar.Stream`
+                instance or dict with compatible properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a polar subplot. If "polar"
+                (the default value), the data refer to
+                `layout.polar`. If "polar2", the data refer to
+                `layout.polar2`, and so on.
+            text
+                Sets hover text elements associated with each
+                bar. If a single string, the same string
+                appears over all bars. If an array of string,
+                the items are mapped in order to the this
+                trace's coordinates.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            theta
+                Sets the angular coordinates
+            theta0
+                Alternate to `theta`. Builds a linear space of
+                theta coordinates. Use with `dtheta` where
+                `theta0` is the starting coordinate and
+                `dtheta` the step.
+            thetasrc
+                Sets the source reference on Chart Studio Cloud
+                for  theta .
+            thetaunit
+                Sets the unit of input "theta" values. Has an
+                effect only when on "linear" angular axes.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.barpolar.Unselecte
+                d` instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            width
+                Sets the bar angular width (in "thetaunit"
+                units).
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_box.py b/packages/python/plotly/plotly/validators/_box.py
new file mode 100644
index 00000000000..ee81d37bb38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_box.py
@@ -0,0 +1,397 @@
+import _plotly_utils.basevalidators
+
+
+class BoxValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="box", parent_name="", **kwargs):
+        super(BoxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Box"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alignmentgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same
+                alignmentgroup. This controls whether bars
+                compute their positional range dependently or
+                independently.
+            boxmean
+                If True, the mean of the box(es)' underlying
+                distribution is drawn as a dashed line inside
+                the box(es). If "sd" the standard deviation is
+                also drawn. Defaults to True when `mean` is
+                set. Defaults to "sd" when `sd` is set
+                Otherwise defaults to False.
+            boxpoints
+                If "outliers", only the sample points lying
+                outside the whiskers are shown If
+                "suspectedoutliers", the outlier points are
+                shown and points either less than 4*Q1-3*Q3 or
+                greater than 4*Q3-3*Q1 are highlighted (see
+                `outliercolor`) If "all", all sample points are
+                shown If False, only the box(es) are shown with
+                no sample points Defaults to
+                "suspectedoutliers" when `marker.outliercolor`
+                or `marker.line.outliercolor` is set. Defaults
+                to "all" under the q1/median/q3 signature.
+                Otherwise defaults to "outliers".
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step for multi-box traces
+                set using q1/median/q3.
+            dy
+                Sets the y coordinate step for multi-box traces
+                set using q1/median/q3.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.box.Hoverlabel`
+                instance or dict with compatible properties
+            hoveron
+                Do the hover effects highlight individual boxes
+                or sample points or both?
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            jitter
+                Sets the amount of jitter in the sample points
+                drawn. If 0, the sample points align along the
+                distribution axis. If 1, the sample points are
+                drawn in a random jitter of width equal to the
+                width of the box(es).
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.box.Line` instance
+                or dict with compatible properties
+            lowerfence
+                Sets the lower fence values. There should be as
+                many items as the number of boxes desired. This
+                attribute has effect only under the
+                q1/median/q3 signature. If `lowerfence` is not
+                provided but a sample (in `y` or `x`) is set,
+                we compute the lower as the last sample point
+                below 1.5 times the IQR.
+            lowerfencesrc
+                Sets the source reference on Chart Studio Cloud
+                for  lowerfence .
+            marker
+                :class:`plotly.graph_objects.box.Marker`
+                instance or dict with compatible properties
+            mean
+                Sets the mean values. There should be as many
+                items as the number of boxes desired. This
+                attribute has effect only under the
+                q1/median/q3 signature. If `mean` is not
+                provided but a sample (in `y` or `x`) is set,
+                we compute the mean for each box using the
+                sample values.
+            meansrc
+                Sets the source reference on Chart Studio Cloud
+                for  mean .
+            median
+                Sets the median values. There should be as many
+                items as the number of boxes desired.
+            mediansrc
+                Sets the source reference on Chart Studio Cloud
+                for  median .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover. For box traces,
+                the name will also be used for the position
+                coordinate, if `x` and `x0` (`y` and `y0` if
+                horizontal) are missing and the position axis
+                is categorical
+            notched
+                Determines whether or not notches are drawn.
+                Notches displays a confidence interval around
+                the median. We compute the confidence interval
+                as median +/- 1.57 * IQR / sqrt(N), where IQR
+                is the interquartile range and N is the sample
+                size. If two boxes' notches do not overlap
+                there is 95% confidence their medians differ.
+                See https://sites.google.com/site/davidsstatist
+                ics/home/notched-box-plots for more info.
+                Defaults to False unless `notchwidth` or
+                `notchspan` is set.
+            notchspan
+                Sets the notch span from the boxes' `median`
+                values. There should be as many items as the
+                number of boxes desired. This attribute has
+                effect only under the q1/median/q3 signature.
+                If `notchspan` is not provided but a sample (in
+                `y` or `x`) is set, we compute it as 1.57 * IQR
+                / sqrt(N), where N is the sample size.
+            notchspansrc
+                Sets the source reference on Chart Studio Cloud
+                for  notchspan .
+            notchwidth
+                Sets the width of the notches relative to the
+                box' width. For example, with 0, the notches
+                are as wide as the box(es).
+            offsetgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same offsetgroup
+                where bars of the same position coordinate will
+                line up.
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Sets the orientation of the box(es). If "v"
+                ("h"), the distribution is visualized along the
+                vertical (horizontal).
+            pointpos
+                Sets the position of the sample points in
+                relation to the box(es). If 0, the sample
+                points are places over the center of the
+                box(es). Positive (negative) values correspond
+                to positions to the right (left) for vertical
+                boxes and above (below) for horizontal boxes
+            q1
+                Sets the Quartile 1 values. There should be as
+                many items as the number of boxes desired.
+            q1src
+                Sets the source reference on Chart Studio Cloud
+                for  q1 .
+            q3
+                Sets the Quartile 3 values. There should be as
+                many items as the number of boxes desired.
+            q3src
+                Sets the source reference on Chart Studio Cloud
+                for  q3 .
+            quartilemethod
+                Sets the method used to compute the sample's Q1
+                and Q3 quartiles. The "linear" method uses the
+                25th percentile for Q1 and 75th percentile for
+                Q3 as computed using method #10 (listed on http
+                ://www.amstat.org/publications/jse/v14n3/langfo
+                rd.html). The "exclusive" method uses the
+                median to divide the ordered dataset into two
+                halves if the sample is odd, it does not
+                include the median in either half - Q1 is then
+                the median of the lower half and Q3 the median
+                of the upper half. The "inclusive" method also
+                uses the median to divide the ordered dataset
+                into two halves but if the sample is odd, it
+                includes the median in both halves - Q1 is then
+                the median of the lower half and Q3 the median
+                of the upper half.
+            sd
+                Sets the standard deviation values. There
+                should be as many items as the number of boxes
+                desired. This attribute has effect only under
+                the q1/median/q3 signature. If `sd` is not
+                provided but a sample (in `y` or `x`) is set,
+                we compute the standard deviation for each box
+                using the sample values.
+            sdsrc
+                Sets the source reference on Chart Studio Cloud
+                for  sd .
+            selected
+                :class:`plotly.graph_objects.box.Selected`
+                instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.box.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each
+                sample value. If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to the this trace's (x,y) coordinates. To be
+                seen, trace `hoverinfo` must contain a "text"
+                flag.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.box.Unselected`
+                instance or dict with compatible properties
+            upperfence
+                Sets the upper fence values. There should be as
+                many items as the number of boxes desired. This
+                attribute has effect only under the
+                q1/median/q3 signature. If `upperfence` is not
+                provided but a sample (in `y` or `x`) is set,
+                we compute the lower as the last sample point
+                above 1.5 times the IQR.
+            upperfencesrc
+                Sets the source reference on Chart Studio Cloud
+                for  upperfence .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            whiskerwidth
+                Sets the width of the whiskers relative to the
+                box' width. For example, with 1, the whiskers
+                are as wide as the box(es).
+            width
+                Sets the width of the box in data coordinate If
+                0 (default value) the width is automatically
+                selected based on the positions of other box
+                traces in the same subplot.
+            x
+                Sets the x sample data or coordinates. See
+                overview for more info.
+            x0
+                Sets the x coordinate for single-box traces or
+                the starting coordinate for multi-box traces
+                set using q1/median/q3. See overview for more
+                info.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y sample data or coordinates. See
+                overview for more info.
+            y0
+                Sets the y coordinate for single-box traces or
+                the starting coordinate for multi-box traces
+                set using q1/median/q3. See overview for more
+                info.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_candlestick.py b/packages/python/plotly/plotly/validators/_candlestick.py
new file mode 100644
index 00000000000..e27c8cfd7d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_candlestick.py
@@ -0,0 +1,188 @@
+import _plotly_utils.basevalidators
+
+
+class CandlestickValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="candlestick", parent_name="", **kwargs):
+        super(CandlestickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Candlestick"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            close
+                Sets the close values.
+            closesrc
+                Sets the source reference on Chart Studio Cloud
+                for  close .
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            decreasing
+                :class:`plotly.graph_objects.candlestick.Decrea
+                sing` instance or dict with compatible
+                properties
+            high
+                Sets the high values.
+            highsrc
+                Sets the source reference on Chart Studio Cloud
+                for  high .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.candlestick.Hoverl
+                abel` instance or dict with compatible
+                properties
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            increasing
+                :class:`plotly.graph_objects.candlestick.Increa
+                sing` instance or dict with compatible
+                properties
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.candlestick.Line`
+                instance or dict with compatible properties
+            low
+                Sets the low values.
+            lowsrc
+                Sets the source reference on Chart Studio Cloud
+                for  low .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            open
+                Sets the open values.
+            opensrc
+                Sets the source reference on Chart Studio Cloud
+                for  open .
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.candlestick.Stream
+                ` instance or dict with compatible properties
+            text
+                Sets hover text elements associated with each
+                sample point. If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to this trace's sample points.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            whiskerwidth
+                Sets the width of the whiskers relative to the
+                box' width. For example, with 1, the whiskers
+                are as wide as the box(es).
+            x
+                Sets the x coordinates. If absent, linear
+                coordinate will be generated.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_carpet.py b/packages/python/plotly/plotly/validators/_carpet.py
new file mode 100644
index 00000000000..b57f457a679
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_carpet.py
@@ -0,0 +1,164 @@
+import _plotly_utils.basevalidators
+
+
+class CarpetValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="carpet", parent_name="", **kwargs):
+        super(CarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Carpet"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            a
+                An array containing values of the first
+                parameter value
+            a0
+                Alternate to `a`. Builds a linear space of a
+                coordinates. Use with `da` where `a0` is the
+                starting coordinate and `da` the step.
+            aaxis
+                :class:`plotly.graph_objects.carpet.Aaxis`
+                instance or dict with compatible properties
+            asrc
+                Sets the source reference on Chart Studio Cloud
+                for  a .
+            b
+                A two dimensional array of y coordinates at
+                each carpet point.
+            b0
+                Alternate to `b`. Builds a linear space of a
+                coordinates. Use with `db` where `b0` is the
+                starting coordinate and `db` the step.
+            baxis
+                :class:`plotly.graph_objects.carpet.Baxis`
+                instance or dict with compatible properties
+            bsrc
+                Sets the source reference on Chart Studio Cloud
+                for  b .
+            carpet
+                An identifier for this carpet, so that
+                `scattercarpet` and `contourcarpet` traces can
+                specify a carpet plot on which they lie
+            cheaterslope
+                The shift applied to each successive row of
+                data in creating a cheater plot. Only used if
+                `x` is been ommitted.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            da
+                Sets the a coordinate step. See `a0` for more
+                info.
+            db
+                Sets the b coordinate step. See `b0` for more
+                info.
+            font
+                The default font used for axis & tick labels on
+                this carpet
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            stream
+                :class:`plotly.graph_objects.carpet.Stream`
+                instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                A two dimensional array of x coordinates at
+                each carpet point. If ommitted, the plot is a
+                cheater plot and the xaxis is hidden by
+                default.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                A two dimensional array of y coordinates at
+                each carpet point.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_choropleth.py b/packages/python/plotly/plotly/validators/_choropleth.py
new file mode 100644
index 00000000000..ed7c947d111
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_choropleth.py
@@ -0,0 +1,270 @@
+import _plotly_utils.basevalidators
+
+
+class ChoroplethValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="choropleth", parent_name="", **kwargs):
+        super(ChoroplethValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Choropleth"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.choropleth.ColorBa
+                r` instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            featureidkey
+                Sets the key in GeoJSON features which is used
+                as id to match the items included in the
+                `locations` array. Only has an effect when
+                `geojson` is set. Support nested property, for
+                example "properties.name".
+            geo
+                Sets a reference between this trace's
+                geospatial coordinates and a geographic map. If
+                "geo" (the default value), the geospatial
+                coordinates refer to `layout.geo`. If "geo2",
+                the geospatial coordinates refer to
+                `layout.geo2`, and so on.
+            geojson
+                Sets optional GeoJSON data associated with this
+                trace. If not given, the features on the base
+                map are used. It can be set as a valid GeoJSON
+                object or as a URL string. Note that we only
+                accept GeoJSONs of type "FeatureCollection" or
+                "Feature" with geometries of type "Polygon" or
+                "MultiPolygon".
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.choropleth.Hoverla
+                bel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            locationmode
+                Determines the set of locations used to match
+                entries in `locations` to regions on the map.
+                Values "ISO-3", "USA-states", *country names*
+                correspond to features on the base map and
+                value "geojson-id" corresponds to features from
+                a custom GeoJSON linked to the `geojson`
+                attribute.
+            locations
+                Sets the coordinates via location IDs or names.
+                See `locationmode` for more info.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            marker
+                :class:`plotly.graph_objects.choropleth.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            selected
+                :class:`plotly.graph_objects.choropleth.Selecte
+                d` instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.choropleth.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each
+                location.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.choropleth.Unselec
+                ted` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            z
+                Sets the color values.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_choroplethmapbox.py b/packages/python/plotly/plotly/validators/_choroplethmapbox.py
new file mode 100644
index 00000000000..bf62e34976b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_choroplethmapbox.py
@@ -0,0 +1,270 @@
+import _plotly_utils.basevalidators
+
+
+class ChoroplethmapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="choroplethmapbox", parent_name="", **kwargs):
+        super(ChoroplethmapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Choroplethmapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            below
+                Determines if the choropleth polygons will be
+                inserted before the layer with the specified
+                ID. By default, choroplethmapbox traces are
+                placed above the water layers. If set to '',
+                the layer will be inserted above every existing
+                layer.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.choroplethmapbox.C
+                olorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            featureidkey
+                Sets the key in GeoJSON features which is used
+                as id to match the items included in the
+                `locations` array. Support nested property, for
+                example "properties.name".
+            geojson
+                Sets the GeoJSON data associated with this
+                trace. It can be set as a valid GeoJSON object
+                or as a URL string. Note that we only accept
+                GeoJSONs of type "FeatureCollection" or
+                "Feature" with geometries of type "Polygon" or
+                "MultiPolygon".
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.choroplethmapbox.H
+                overlabel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variable `properties` Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            locations
+                Sets which features found in "geojson" to plot
+                using their feature `id` field.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            marker
+                :class:`plotly.graph_objects.choroplethmapbox.M
+                arker` instance or dict with compatible
+                properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            selected
+                :class:`plotly.graph_objects.choroplethmapbox.S
+                elected` instance or dict with compatible
+                properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.choroplethmapbox.S
+                tream` instance or dict with compatible
+                properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a mapbox subplot. If "mapbox"
+                (the default value), the data refer to
+                `layout.mapbox`. If "mapbox2", the data refer
+                to `layout.mapbox2`, and so on.
+            text
+                Sets the text elements associated with each
+                location.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.choroplethmapbox.U
+                nselected` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            z
+                Sets the color values.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_cone.py b/packages/python/plotly/plotly/validators/_cone.py
new file mode 100644
index 00000000000..5a0405a75e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_cone.py
@@ -0,0 +1,293 @@
+import _plotly_utils.basevalidators
+
+
+class ConeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="cone", parent_name="", **kwargs):
+        super(ConeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Cone"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            anchor
+                Sets the cones' anchor with respect to their
+                x/y/z positions. Note that "cm" denote the
+                cone's center of mass which corresponds to 1/4
+                from the tail to tip.
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                u/v/w norm) or the bounds set in `cmin` and
+                `cmax`  Defaults to `false` when `cmin` and
+                `cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as u/v/w norm and if
+                set, `cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as u/v/w norm. Has no effect when `cauto` is
+                `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as u/v/w norm and if
+                set, `cmax` must be set as well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.cone.ColorBar`
+                instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.cone.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variable `norm` Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lighting
+                :class:`plotly.graph_objects.cone.Lighting`
+                instance or dict with compatible properties
+            lightposition
+                :class:`plotly.graph_objects.cone.Lightposition
+                ` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the surface. Please note
+                that in the case of using high `opacity` values
+                for example a value greater than or equal to
+                0.5 on two surfaces (and 0.25 with four
+                surfaces), an overlay of multiple transparent
+                surfaces may not perfectly be sorted in depth
+                by the webgl API. This behavior may be improved
+                in the near future and is subject to change.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            sizemode
+                Determines whether `sizeref` is set as a
+                "scaled" (i.e unitless) scalar (normalized by
+                the max u/v/w norm in the vector field) or as
+                "absolute" value (in the same units as the
+                vector field).
+            sizeref
+                Adjusts the cone size scaling. The size of the
+                cones is determined by their u/v/w norm
+                multiplied a factor and `sizeref`. This factor
+                (computed internally) corresponds to the
+                minimum "time" to travel across two successive
+                x/y/z positions at the average velocity of
+                those two successive positions. All cones in a
+                given trace use the same factor. With
+                `sizemode` set to "scaled", `sizeref` is
+                unitless, its default value is 0.5 With
+                `sizemode` set to "absolute", `sizeref` has the
+                same units as the u/v/w vector field, its the
+                default value is half the sample's maximum
+                vector norm.
+            stream
+                :class:`plotly.graph_objects.cone.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with the
+                cones. If trace `hoverinfo` contains a "text"
+                flag and "hovertext" is not set, these elements
+                will be seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            u
+                Sets the x components of the vector field.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            usrc
+                Sets the source reference on Chart Studio Cloud
+                for  u .
+            v
+                Sets the y components of the vector field.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            vsrc
+                Sets the source reference on Chart Studio Cloud
+                for  v .
+            w
+                Sets the z components of the vector field.
+            wsrc
+                Sets the source reference on Chart Studio Cloud
+                for  w .
+            x
+                Sets the x coordinates of the vector field and
+                of the displayed cones.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates of the vector field and
+                of the displayed cones.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the z coordinates of the vector field and
+                of the displayed cones.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_contour.py b/packages/python/plotly/plotly/validators/_contour.py
new file mode 100644
index 00000000000..b0facbc481a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_contour.py
@@ -0,0 +1,313 @@
+import _plotly_utils.basevalidators
+
+
+class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contour", parent_name="", **kwargs):
+        super(ContourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            autocontour
+                Determines whether or not the contour level
+                attributes are picked by an algorithm. If True,
+                the number of contour levels can be set in
+                `ncontours`. If False, set the contour level
+                attributes in `contours`.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.contour.ColorBar`
+                instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the `z` data are filled in.
+                It is defaulted to true if `z` is a one
+                dimensional array otherwise it is defaulted to
+                false.
+            contours
+                :class:`plotly.graph_objects.contour.Contours`
+                instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            fillcolor
+                Sets the fill color if `contours.type` is
+                "constraint". Defaults to a half-transparent
+                variant of the line color, marker color, or
+                marker line color, whichever is available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.contour.Hoverlabel
+                ` instance or dict with compatible properties
+            hoverongaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the `z` data have hover
+                labels associated with them.
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.contour.Line`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            ncontours
+                Sets the maximum number of contour levels. The
+                actual number of contours will be chosen
+                automatically to be less than or equal to the
+                value of `ncontours`. Has an effect only if
+                `autocontour` is True or if `contours.size` is
+                missing.
+            opacity
+                Sets the opacity of the trace.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.contour.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each z
+                value.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            transpose
+                Transposes the z data.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            xtype
+                If "array", the heatmap's x coordinates are
+                given by "x" (the default behavior when `x` is
+                provided). If "scaled", the heatmap's x
+                coordinates are given by "x0" and "dx" (the
+                default behavior when `x` is not provided).
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            ytype
+                If "array", the heatmap's y coordinates are
+                given by "y" (the default behavior when `y` is
+                provided) If "scaled", the heatmap's y
+                coordinates are given by "y0" and "dy" (the
+                default behavior when `y` is not provided)
+            z
+                Sets the z data.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zhoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. See:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_contourcarpet.py b/packages/python/plotly/plotly/validators/_contourcarpet.py
new file mode 100644
index 00000000000..ab31fa4f452
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_contourcarpet.py
@@ -0,0 +1,253 @@
+import _plotly_utils.basevalidators
+
+
+class ContourcarpetValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contourcarpet", parent_name="", **kwargs):
+        super(ContourcarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contourcarpet"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            a
+                Sets the x coordinates.
+            a0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            asrc
+                Sets the source reference on Chart Studio Cloud
+                for  a .
+            atype
+                If "array", the heatmap's x coordinates are
+                given by "x" (the default behavior when `x` is
+                provided). If "scaled", the heatmap's x
+                coordinates are given by "x0" and "dx" (the
+                default behavior when `x` is not provided).
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            autocontour
+                Determines whether or not the contour level
+                attributes are picked by an algorithm. If True,
+                the number of contour levels can be set in
+                `ncontours`. If False, set the contour level
+                attributes in `contours`.
+            b
+                Sets the y coordinates.
+            b0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            bsrc
+                Sets the source reference on Chart Studio Cloud
+                for  b .
+            btype
+                If "array", the heatmap's y coordinates are
+                given by "y" (the default behavior when `y` is
+                provided) If "scaled", the heatmap's y
+                coordinates are given by "y0" and "dy" (the
+                default behavior when `y` is not provided)
+            carpet
+                The `carpet` of the carpet axes on which this
+                contour trace lies
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.contourcarpet.Colo
+                rBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            contours
+                :class:`plotly.graph_objects.contourcarpet.Cont
+                ours` instance or dict with compatible
+                properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            da
+                Sets the x coordinate step. See `x0` for more
+                info.
+            db
+                Sets the y coordinate step. See `y0` for more
+                info.
+            fillcolor
+                Sets the fill color if `contours.type` is
+                "constraint". Defaults to a half-transparent
+                variant of the line color, marker color, or
+                marker line color, whichever is available.
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.contourcarpet.Line
+                ` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            ncontours
+                Sets the maximum number of contour levels. The
+                actual number of contours will be chosen
+                automatically to be less than or equal to the
+                value of `ncontours`. Has an effect only if
+                `autocontour` is True or if `contours.size` is
+                missing.
+            opacity
+                Sets the opacity of the trace.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.contourcarpet.Stre
+                am` instance or dict with compatible properties
+            text
+                Sets the text elements associated with each z
+                value.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            transpose
+                Transposes the z data.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            z
+                Sets the z data.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_data.py b/packages/python/plotly/plotly/validators/_data.py
new file mode 100644
index 00000000000..c1a867fb11f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_data.py
@@ -0,0 +1,60 @@
+import _plotly_utils.basevalidators
+
+
+class DataValidator(_plotly_utils.basevalidators.BaseDataValidator):
+    def __init__(self, plotly_name="data", parent_name="", **kwargs):
+
+        super(DataValidator, self).__init__(
+            class_strs_map={
+                "area": "Area",
+                "bar": "Bar",
+                "barpolar": "Barpolar",
+                "box": "Box",
+                "candlestick": "Candlestick",
+                "carpet": "Carpet",
+                "choropleth": "Choropleth",
+                "choroplethmapbox": "Choroplethmapbox",
+                "cone": "Cone",
+                "contour": "Contour",
+                "contourcarpet": "Contourcarpet",
+                "densitymapbox": "Densitymapbox",
+                "funnel": "Funnel",
+                "funnelarea": "Funnelarea",
+                "heatmap": "Heatmap",
+                "heatmapgl": "Heatmapgl",
+                "histogram": "Histogram",
+                "histogram2d": "Histogram2d",
+                "histogram2dcontour": "Histogram2dContour",
+                "image": "Image",
+                "indicator": "Indicator",
+                "isosurface": "Isosurface",
+                "mesh3d": "Mesh3d",
+                "ohlc": "Ohlc",
+                "parcats": "Parcats",
+                "parcoords": "Parcoords",
+                "pie": "Pie",
+                "pointcloud": "Pointcloud",
+                "sankey": "Sankey",
+                "scatter": "Scatter",
+                "scatter3d": "Scatter3d",
+                "scattercarpet": "Scattercarpet",
+                "scattergeo": "Scattergeo",
+                "scattergl": "Scattergl",
+                "scattermapbox": "Scattermapbox",
+                "scatterpolar": "Scatterpolar",
+                "scatterpolargl": "Scatterpolargl",
+                "scatterternary": "Scatterternary",
+                "splom": "Splom",
+                "streamtube": "Streamtube",
+                "sunburst": "Sunburst",
+                "surface": "Surface",
+                "table": "Table",
+                "treemap": "Treemap",
+                "violin": "Violin",
+                "volume": "Volume",
+                "waterfall": "Waterfall",
+            },
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_densitymapbox.py b/packages/python/plotly/plotly/validators/_densitymapbox.py
new file mode 100644
index 00000000000..8b69f046a69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_densitymapbox.py
@@ -0,0 +1,266 @@
+import _plotly_utils.basevalidators
+
+
+class DensitymapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="densitymapbox", parent_name="", **kwargs):
+        super(DensitymapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Densitymapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            below
+                Determines if the densitymapbox trace will be
+                inserted before the layer with the specified
+                ID. By default, densitymapbox traces are placed
+                below the first layer of type symbol If set to
+                '', the layer will be inserted above every
+                existing layer.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.densitymapbox.Colo
+                rBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.densitymapbox.Hove
+                rlabel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (lon,lat) pair If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to the this trace's (lon,lat) coordinates. To
+                be seen, trace `hoverinfo` must contain a
+                "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            lat
+                Sets the latitude coordinates (in degrees
+                North).
+            latsrc
+                Sets the source reference on Chart Studio Cloud
+                for  lat .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lon
+                Sets the longitude coordinates (in degrees
+                East).
+            lonsrc
+                Sets the source reference on Chart Studio Cloud
+                for  lon .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            radius
+                Sets the radius of influence of one `lon` /
+                `lat` point in pixels. Increasing the value
+                makes the densitymapbox trace smoother, but
+                less detailed.
+            radiussrc
+                Sets the source reference on Chart Studio Cloud
+                for  radius .
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.densitymapbox.Stre
+                am` instance or dict with compatible properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a mapbox subplot. If "mapbox"
+                (the default value), the data refer to
+                `layout.mapbox`. If "mapbox2", the data refer
+                to `layout.mapbox2`, and so on.
+            text
+                Sets text elements associated with each
+                (lon,lat) pair If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to the this trace's (lon,lat) coordinates. If
+                trace `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            z
+                Sets the points' weight. For example, a value
+                of 10 would be equivalent to having 10 points
+                of weight 1 in the same spot
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_frames.py b/packages/python/plotly/plotly/validators/_frames.py
new file mode 100644
index 00000000000..9f906030af6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_frames.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FramesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="frames", parent_name="", **kwargs):
+        super(FramesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Frame"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            baseframe
+                The name of the frame into which this frame's
+                properties are merged before applying. This is
+                used to unify properties and avoid needing to
+                specify the same values for the same properties
+                in multiple frames.
+            data
+                A list of traces this frame modifies. The
+                format is identical to the normal trace
+                definition.
+            group
+                An identifier that specifies the group to which
+                the frame belongs, used by animate to select a
+                subset of frames.
+            layout
+                Layout properties which this frame modifies.
+                The format is identical to the normal layout
+                definition.
+            name
+                A label by which to identify the frame
+            traces
+                A list of trace indices that identify the
+                respective traces in the data attribute
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_funnel.py b/packages/python/plotly/plotly/validators/_funnel.py
new file mode 100644
index 00000000000..13b84ab07d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_funnel.py
@@ -0,0 +1,311 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="funnel", parent_name="", **kwargs):
+        super(FunnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Funnel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alignmentgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same
+                alignmentgroup. This controls whether bars
+                compute their positional range dependently or
+                independently.
+            cliponaxis
+                Determines whether the text nodes are clipped
+                about the subplot axes. To show the text nodes
+                above axis lines and tick labels, make sure to
+                set `xaxis.layer` and `yaxis.layer` to *below
+                traces*.
+            connector
+                :class:`plotly.graph_objects.funnel.Connector`
+                instance or dict with compatible properties
+            constraintext
+                Constrain the size of text inside or outside a
+                bar to be no larger than the bar itself.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.funnel.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `percentInitial`, `percentPrevious`
+                and `percentTotal`. Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            insidetextanchor
+                Determines if texts are kept at center or
+                start/end points in `textposition` "inside"
+                mode.
+            insidetextfont
+                Sets the font used for `text` lying inside the
+                bar.
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.funnel.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            offset
+                Shifts the position where the bar is drawn (in
+                position axis units). In "group" barmode,
+                traces that set "offset" will be excluded and
+                drawn in "overlay" mode instead.
+            offsetgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same offsetgroup
+                where bars of the same position coordinate will
+                line up.
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Sets the orientation of the funnels. With "v"
+                ("h"), the value of the each bar spans along
+                the vertical (horizontal). By default funnels
+                are tend to be oriented horizontally; unless
+                only "y" array is presented or orientation is
+                set to "v". Also regarding graphs including
+                only 'horizontal' funnels, "autorange" on the
+                "y-axis" are set to "reversed".
+            outsidetextfont
+                Sets the font used for `text` lying outside the
+                bar.
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.funnel.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textangle
+                Sets the angle of the tick labels with respect
+                to the bar. For example, a `tickangle` of -90
+                draws the tick labels vertically. With "auto"
+                the texts may automatically be rotated to fit
+                with the maximum size in bars.
+            textfont
+                Sets the font used for `text`.
+            textinfo
+                Determines which trace information appear on
+                the graph. In the case of having multiple
+                funnels, percentages & totals are computed
+                separately (per trace).
+            textposition
+                Specifies the location of the `text`. "inside"
+                positions `text` inside, next to the bar end
+                (rotated and scaled if needed). "outside"
+                positions `text` outside, next to the bar end
+                (scaled if needed), unless there is another bar
+                stacked on this one, then the text gets pushed
+                inside. "auto" tries to position `text` inside
+                the bar, but if the bar is too small and no bar
+                is stacked on this one the text is moved
+                outside.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `percentInitial`,
+                `percentPrevious`, `percentTotal`, `label` and
+                `value`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            width
+                Sets the bar width (in position axis units).
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_funnelarea.py b/packages/python/plotly/plotly/validators/_funnelarea.py
new file mode 100644
index 00000000000..b68df23b4e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_funnelarea.py
@@ -0,0 +1,240 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelareaValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="funnelarea", parent_name="", **kwargs):
+        super(FunnelareaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Funnelarea"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            aspectratio
+                Sets the ratio between height and width
+            baseratio
+                Sets the ratio between bottom length and
+                maximum top length.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dlabel
+                Sets the label step. See `label0` for more
+                info.
+            domain
+                :class:`plotly.graph_objects.funnelarea.Domain`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.funnelarea.Hoverla
+                bel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `label`, `color`, `value`, `text` and
+                `percent`. Anything contained in tag `<extra>`
+                is displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                sector. If a single string, the same string
+                appears for all data points. If an array of
+                string, the items are mapped in order of this
+                trace's sectors. To be seen, trace `hoverinfo`
+                must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            insidetextfont
+                Sets the font used for `textinfo` lying inside
+                the sector.
+            label0
+                Alternate to `labels`. Builds a numeric set of
+                labels. Use with `dlabel` where `label0` is the
+                starting label and `dlabel` the step.
+            labels
+                Sets the sector labels. If `labels` entries are
+                duplicated, we sum associated `values` or
+                simply count occurrences if `values` is not
+                provided. For other array attributes (including
+                color) we use the first non-empty entry among
+                all occurrences of the label.
+            labelssrc
+                Sets the source reference on Chart Studio Cloud
+                for  labels .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.funnelarea.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            scalegroup
+                If there are multiple funnelareas that should
+                be sized according to their totals, link them
+                by providing a non-empty group id here shared
+                by every trace in the same group.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.funnelarea.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each sector.
+                If trace `textinfo` contains a "text" flag,
+                these elements will be seen on the chart. If
+                trace `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the font used for `textinfo`.
+            textinfo
+                Determines which trace information appear on
+                the graph.
+            textposition
+                Specifies the location of the `textinfo`.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `label`, `color`, `value`,
+                `text` and `percent`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            title
+                :class:`plotly.graph_objects.funnelarea.Title`
+                instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            values
+                Sets the values of the sectors. If omitted, we
+                count occurrences of each label.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_heatmap.py b/packages/python/plotly/plotly/validators/_heatmap.py
new file mode 100644
index 00000000000..f4f20393280
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_heatmap.py
@@ -0,0 +1,298 @@
+import _plotly_utils.basevalidators
+
+
+class HeatmapValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="heatmap", parent_name="", **kwargs):
+        super(HeatmapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Heatmap"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.heatmap.ColorBar`
+                instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the `z` data are filled in.
+                It is defaulted to true if `z` is a one
+                dimensional array and `zsmooth` is not false;
+                otherwise it is defaulted to false.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.heatmap.Hoverlabel
+                ` instance or dict with compatible properties
+            hoverongaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the `z` data have hover
+                labels associated with them.
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.heatmap.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each z
+                value.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            transpose
+                Transposes the z data.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xgap
+                Sets the horizontal gap (in pixels) between
+                bricks.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            xtype
+                If "array", the heatmap's x coordinates are
+                given by "x" (the default behavior when `x` is
+                provided). If "scaled", the heatmap's x
+                coordinates are given by "x0" and "dx" (the
+                default behavior when `x` is not provided).
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ygap
+                Sets the vertical gap (in pixels) between
+                bricks.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            ytype
+                If "array", the heatmap's y coordinates are
+                given by "y" (the default behavior when `y` is
+                provided) If "scaled", the heatmap's y
+                coordinates are given by "y0" and "dy" (the
+                default behavior when `y` is not provided)
+            z
+                Sets the z data.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zhoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. See:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsmooth
+                Picks a smoothing algorithm use to smooth `z`
+                data.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_heatmapgl.py b/packages/python/plotly/plotly/validators/_heatmapgl.py
new file mode 100644
index 00000000000..35fe522558f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_heatmapgl.py
@@ -0,0 +1,224 @@
+import _plotly_utils.basevalidators
+
+
+class HeatmapglValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="heatmapgl", parent_name="", **kwargs):
+        super(HeatmapglValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Heatmapgl"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.heatmapgl.ColorBar
+                ` instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.heatmapgl.Hoverlab
+                el` instance or dict with compatible properties
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.heatmapgl.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each z
+                value.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            transpose
+                Transposes the z data.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            xtype
+                If "array", the heatmap's x coordinates are
+                given by "x" (the default behavior when `x` is
+                provided). If "scaled", the heatmap's x
+                coordinates are given by "x0" and "dx" (the
+                default behavior when `x` is not provided).
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            ytype
+                If "array", the heatmap's y coordinates are
+                given by "y" (the default behavior when `y` is
+                provided) If "scaled", the heatmap's y
+                coordinates are given by "y0" and "dy" (the
+                default behavior when `y` is not provided)
+            z
+                Sets the z data.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_histogram.py b/packages/python/plotly/plotly/validators/_histogram.py
new file mode 100644
index 00000000000..6cb3ccf0d8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_histogram.py
@@ -0,0 +1,293 @@
+import _plotly_utils.basevalidators
+
+
+class HistogramValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="histogram", parent_name="", **kwargs):
+        super(HistogramValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Histogram"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alignmentgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same
+                alignmentgroup. This controls whether bars
+                compute their positional range dependently or
+                independently.
+            autobinx
+                Obsolete: since v1.42 each bin attribute is
+                auto-determined separately and `autobinx` is
+                not needed. However, we accept `autobinx: true`
+                or `false` and will update `xbins` accordingly
+                before deleting `autobinx` from the trace.
+            autobiny
+                Obsolete: since v1.42 each bin attribute is
+                auto-determined separately and `autobiny` is
+                not needed. However, we accept `autobiny: true`
+                or `false` and will update `ybins` accordingly
+                before deleting `autobiny` from the trace.
+            bingroup
+                Set a group of histogram traces which will have
+                compatible bin settings. Note that traces on
+                the same subplot and with the same
+                "orientation" under `barmode` "stack",
+                "relative" and "group" are forced into the same
+                bingroup, Using `bingroup`, traces under
+                `barmode` "overlay" and on different axes (of
+                the same axis type) can have compatible bin
+                settings. Note that histogram and histogram2d*
+                trace can share the same `bingroup`
+            cumulative
+                :class:`plotly.graph_objects.histogram.Cumulati
+                ve` instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            error_x
+                :class:`plotly.graph_objects.histogram.ErrorX`
+                instance or dict with compatible properties
+            error_y
+                :class:`plotly.graph_objects.histogram.ErrorY`
+                instance or dict with compatible properties
+            histfunc
+                Specifies the binning function used for this
+                histogram trace. If "count", the histogram
+                values are computed by counting the number of
+                values lying inside each bin. If "sum", "avg",
+                "min", "max", the histogram values are computed
+                using the sum, the average, the minimum or the
+                maximum of the values lying inside each bin
+                respectively.
+            histnorm
+                Specifies the type of normalization used for
+                this histogram trace. If "", the span of each
+                bar corresponds to the number of occurrences
+                (i.e. the number of data points lying inside
+                the bins). If "percent" / "probability", the
+                span of each bar corresponds to the percentage
+                / fraction of occurrences with respect to the
+                total number of sample points (here, the sum of
+                all bin HEIGHTS equals 100% / 1). If "density",
+                the span of each bar corresponds to the number
+                of occurrences in a bin divided by the size of
+                the bin interval (here, the sum of all bin
+                AREAS equals the total number of sample
+                points). If *probability density*, the area of
+                each bar corresponds to the probability that an
+                event will fall into the corresponding bin
+                (here, the sum of all bin AREAS equals 1).
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.histogram.Hoverlab
+                el` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variable `binNumber` Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.histogram.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            nbinsx
+                Specifies the maximum number of desired bins.
+                This value will be used in an algorithm that
+                will decide the optimal bin size such that the
+                histogram best visualizes the distribution of
+                the data. Ignored if `xbins.size` is provided.
+            nbinsy
+                Specifies the maximum number of desired bins.
+                This value will be used in an algorithm that
+                will decide the optimal bin size such that the
+                histogram best visualizes the distribution of
+                the data. Ignored if `ybins.size` is provided.
+            offsetgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same offsetgroup
+                where bars of the same position coordinate will
+                line up.
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Sets the orientation of the bars. With "v"
+                ("h"), the value of the each bar spans along
+                the vertical (horizontal).
+            selected
+                :class:`plotly.graph_objects.histogram.Selected
+                ` instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.histogram.Stream`
+                instance or dict with compatible properties
+            text
+                Sets hover text elements associated with each
+                bar. If a single string, the same string
+                appears over all bars. If an array of string,
+                the items are mapped in order to the this
+                trace's coordinates.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.histogram.Unselect
+                ed` instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the sample data to be binned on the x
+                axis.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xbins
+                :class:`plotly.graph_objects.histogram.XBins`
+                instance or dict with compatible properties
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the sample data to be binned on the y
+                axis.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ybins
+                :class:`plotly.graph_objects.histogram.YBins`
+                instance or dict with compatible properties
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_histogram2d.py b/packages/python/plotly/plotly/validators/_histogram2d.py
new file mode 100644
index 00000000000..b2bbad238bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_histogram2d.py
@@ -0,0 +1,333 @@
+import _plotly_utils.basevalidators
+
+
+class Histogram2DValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="histogram2d", parent_name="", **kwargs):
+        super(Histogram2DValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Histogram2d"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autobinx
+                Obsolete: since v1.42 each bin attribute is
+                auto-determined separately and `autobinx` is
+                not needed. However, we accept `autobinx: true`
+                or `false` and will update `xbins` accordingly
+                before deleting `autobinx` from the trace.
+            autobiny
+                Obsolete: since v1.42 each bin attribute is
+                auto-determined separately and `autobiny` is
+                not needed. However, we accept `autobiny: true`
+                or `false` and will update `ybins` accordingly
+                before deleting `autobiny` from the trace.
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            bingroup
+                Set the `xbingroup` and `ybingroup` default
+                prefix For example, setting a `bingroup` of 1
+                on two histogram2d traces will make them their
+                x-bins and y-bins match separately.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.histogram2d.ColorB
+                ar` instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            histfunc
+                Specifies the binning function used for this
+                histogram trace. If "count", the histogram
+                values are computed by counting the number of
+                values lying inside each bin. If "sum", "avg",
+                "min", "max", the histogram values are computed
+                using the sum, the average, the minimum or the
+                maximum of the values lying inside each bin
+                respectively.
+            histnorm
+                Specifies the type of normalization used for
+                this histogram trace. If "", the span of each
+                bar corresponds to the number of occurrences
+                (i.e. the number of data points lying inside
+                the bins). If "percent" / "probability", the
+                span of each bar corresponds to the percentage
+                / fraction of occurrences with respect to the
+                total number of sample points (here, the sum of
+                all bin HEIGHTS equals 100% / 1). If "density",
+                the span of each bar corresponds to the number
+                of occurrences in a bin divided by the size of
+                the bin interval (here, the sum of all bin
+                AREAS equals the total number of sample
+                points). If *probability density*, the area of
+                each bar corresponds to the probability that an
+                event will fall into the corresponding bin
+                (here, the sum of all bin AREAS equals 1).
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.histogram2d.Hoverl
+                abel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variable `z` Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.histogram2d.Marker
+                ` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            nbinsx
+                Specifies the maximum number of desired bins.
+                This value will be used in an algorithm that
+                will decide the optimal bin size such that the
+                histogram best visualizes the distribution of
+                the data. Ignored if `xbins.size` is provided.
+            nbinsy
+                Specifies the maximum number of desired bins.
+                This value will be used in an algorithm that
+                will decide the optimal bin size such that the
+                histogram best visualizes the distribution of
+                the data. Ignored if `ybins.size` is provided.
+            opacity
+                Sets the opacity of the trace.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.histogram2d.Stream
+                ` instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the sample data to be binned on the x
+                axis.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xbingroup
+                Set a group of histogram traces which will have
+                compatible x-bin settings. Using `xbingroup`,
+                histogram2d and histogram2dcontour traces  (on
+                axes of the same axis type) can have compatible
+                x-bin settings. Note that the same `xbingroup`
+                value can be used to set (1D) histogram
+                `bingroup`
+            xbins
+                :class:`plotly.graph_objects.histogram2d.XBins`
+                instance or dict with compatible properties
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xgap
+                Sets the horizontal gap (in pixels) between
+                bricks.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the sample data to be binned on the y
+                axis.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ybingroup
+                Set a group of histogram traces which will have
+                compatible y-bin settings. Using `ybingroup`,
+                histogram2d and histogram2dcontour traces  (on
+                axes of the same axis type) can have compatible
+                y-bin settings. Note that the same `ybingroup`
+                value can be used to set (1D) histogram
+                `bingroup`
+            ybins
+                :class:`plotly.graph_objects.histogram2d.YBins`
+                instance or dict with compatible properties
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ygap
+                Sets the vertical gap (in pixels) between
+                bricks.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the aggregation data.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zhoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. See:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsmooth
+                Picks a smoothing algorithm use to smooth `z`
+                data.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_histogram2dcontour.py b/packages/python/plotly/plotly/validators/_histogram2dcontour.py
new file mode 100644
index 00000000000..dd44b948000
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_histogram2dcontour.py
@@ -0,0 +1,350 @@
+import _plotly_utils.basevalidators
+
+
+class Histogram2DcontourValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="histogram2dcontour", parent_name="", **kwargs):
+        super(Histogram2DcontourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Histogram2dContour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autobinx
+                Obsolete: since v1.42 each bin attribute is
+                auto-determined separately and `autobinx` is
+                not needed. However, we accept `autobinx: true`
+                or `false` and will update `xbins` accordingly
+                before deleting `autobinx` from the trace.
+            autobiny
+                Obsolete: since v1.42 each bin attribute is
+                auto-determined separately and `autobiny` is
+                not needed. However, we accept `autobiny: true`
+                or `false` and will update `ybins` accordingly
+                before deleting `autobiny` from the trace.
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            autocontour
+                Determines whether or not the contour level
+                attributes are picked by an algorithm. If True,
+                the number of contour levels can be set in
+                `ncontours`. If False, set the contour level
+                attributes in `contours`.
+            bingroup
+                Set the `xbingroup` and `ybingroup` default
+                prefix For example, setting a `bingroup` of 1
+                on two histogram2d traces will make them their
+                x-bins and y-bins match separately.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.histogram2dcontour
+                .ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`zmin` and
+                `zmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            contours
+                :class:`plotly.graph_objects.histogram2dcontour
+                .Contours` instance or dict with compatible
+                properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            histfunc
+                Specifies the binning function used for this
+                histogram trace. If "count", the histogram
+                values are computed by counting the number of
+                values lying inside each bin. If "sum", "avg",
+                "min", "max", the histogram values are computed
+                using the sum, the average, the minimum or the
+                maximum of the values lying inside each bin
+                respectively.
+            histnorm
+                Specifies the type of normalization used for
+                this histogram trace. If "", the span of each
+                bar corresponds to the number of occurrences
+                (i.e. the number of data points lying inside
+                the bins). If "percent" / "probability", the
+                span of each bar corresponds to the percentage
+                / fraction of occurrences with respect to the
+                total number of sample points (here, the sum of
+                all bin HEIGHTS equals 100% / 1). If "density",
+                the span of each bar corresponds to the number
+                of occurrences in a bin divided by the size of
+                the bin interval (here, the sum of all bin
+                AREAS equals the total number of sample
+                points). If *probability density*, the area of
+                each bar corresponds to the probability that an
+                event will fall into the corresponding bin
+                (here, the sum of all bin AREAS equals 1).
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.histogram2dcontour
+                .Hoverlabel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variable `z` Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.histogram2dcontour
+                .Line` instance or dict with compatible
+                properties
+            marker
+                :class:`plotly.graph_objects.histogram2dcontour
+                .Marker` instance or dict with compatible
+                properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            nbinsx
+                Specifies the maximum number of desired bins.
+                This value will be used in an algorithm that
+                will decide the optimal bin size such that the
+                histogram best visualizes the distribution of
+                the data. Ignored if `xbins.size` is provided.
+            nbinsy
+                Specifies the maximum number of desired bins.
+                This value will be used in an algorithm that
+                will decide the optimal bin size such that the
+                histogram best visualizes the distribution of
+                the data. Ignored if `ybins.size` is provided.
+            ncontours
+                Sets the maximum number of contour levels. The
+                actual number of contours will be chosen
+                automatically to be less than or equal to the
+                value of `ncontours`. Has an effect only if
+                `autocontour` is True or if `contours.size` is
+                missing.
+            opacity
+                Sets the opacity of the trace.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `zmin` will correspond to the last color in the
+                array and `zmax` will correspond to the first
+                color.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.histogram2dcontour
+                .Stream` instance or dict with compatible
+                properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the sample data to be binned on the x
+                axis.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xbingroup
+                Set a group of histogram traces which will have
+                compatible x-bin settings. Using `xbingroup`,
+                histogram2d and histogram2dcontour traces  (on
+                axes of the same axis type) can have compatible
+                x-bin settings. Note that the same `xbingroup`
+                value can be used to set (1D) histogram
+                `bingroup`
+            xbins
+                :class:`plotly.graph_objects.histogram2dcontour
+                .XBins` instance or dict with compatible
+                properties
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the sample data to be binned on the y
+                axis.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ybingroup
+                Set a group of histogram traces which will have
+                compatible y-bin settings. Using `ybingroup`,
+                histogram2d and histogram2dcontour traces  (on
+                axes of the same axis type) can have compatible
+                y-bin settings. Note that the same `ybingroup`
+                value can be used to set (1D) histogram
+                `bingroup`
+            ybins
+                :class:`plotly.graph_objects.histogram2dcontour
+                .YBins` instance or dict with compatible
+                properties
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the aggregation data.
+            zauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `z`) or the bounds set in `zmin` and `zmax`
+                Defaults to `false` when `zmin` and `zmax` are
+                set by the user.
+            zhoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. See:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            zmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmin` must be set as well.
+            zmid
+                Sets the mid-point of the color domain by
+                scaling `zmin` and/or `zmax` to be equidistant
+                to this point. Value should have the same units
+                as in `z`. Has no effect when `zauto` is
+                `false`.
+            zmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as in `z` and if
+                set, `zmax` must be set as well.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_image.py b/packages/python/plotly/plotly/validators/_image.py
new file mode 100644
index 00000000000..d1240aea576
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_image.py
@@ -0,0 +1,191 @@
+import _plotly_utils.basevalidators
+
+
+class ImageValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="image", parent_name="", **kwargs):
+        super(ImageValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Image"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            colormodel
+                Color model used to map the numerical color
+                components described in `z` into colors.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Set the pixel's horizontal size.
+            dy
+                Set the pixel's vertical size
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.image.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `z`, `color` and `colormodel`.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            stream
+                :class:`plotly.graph_objects.image.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each z
+                value.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x0
+                Set the image's x position.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            y0
+                Set the image's y position.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            z
+                A 2-dimensional array in which each element is
+                an array of 3 or 4 numbers representing a
+                color.
+            zmax
+                Array defining the higher bound for each color
+                component. Note that the default value will
+                depend on the colormodel. For the `rgb`
+                colormodel, it is [255, 255, 255]. For the
+                `rgba` colormodel, it is [255, 255, 255, 1].
+                For the `hsl` colormodel, it is [360, 100,
+                100]. For the `hsla` colormodel, it is [360,
+                100, 100, 1].
+            zmin
+                Array defining the lower bound for each color
+                component. Note that the default value will
+                depend on the colormodel. For the `rgb`
+                colormodel, it is [0, 0, 0]. For the `rgba`
+                colormodel, it is [0, 0, 0, 0]. For the `hsl`
+                colormodel, it is [0, 0, 0]. For the `hsla`
+                colormodel, it is [0, 0, 0, 0].
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_indicator.py b/packages/python/plotly/plotly/validators/_indicator.py
new file mode 100644
index 00000000000..50c4acf3f0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_indicator.py
@@ -0,0 +1,114 @@
+import _plotly_utils.basevalidators
+
+
+class IndicatorValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="indicator", parent_name="", **kwargs):
+        super(IndicatorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Indicator"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the `text`
+                within the box. Note that this attribute has no
+                effect if an angular gauge is displayed: in
+                this case, it is always centered
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            delta
+                :class:`plotly.graph_objects.indicator.Delta`
+                instance or dict with compatible properties
+            domain
+                :class:`plotly.graph_objects.indicator.Domain`
+                instance or dict with compatible properties
+            gauge
+                The gauge of the Indicator plot.
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines how the value is displayed on the
+                graph. `number` displays the value numerically
+                in text. `delta` displays the difference to a
+                reference value in text. Finally, `gauge`
+                displays the value graphically on an axis.
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            number
+                :class:`plotly.graph_objects.indicator.Number`
+                instance or dict with compatible properties
+            stream
+                :class:`plotly.graph_objects.indicator.Stream`
+                instance or dict with compatible properties
+            title
+                :class:`plotly.graph_objects.indicator.Title`
+                instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            value
+                Sets the number to be displayed.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_isosurface.py b/packages/python/plotly/plotly/validators/_isosurface.py
new file mode 100644
index 00000000000..08f75f9442c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_isosurface.py
@@ -0,0 +1,283 @@
+import _plotly_utils.basevalidators
+
+
+class IsosurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="isosurface", parent_name="", **kwargs):
+        super(IsosurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Isosurface"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            caps
+                :class:`plotly.graph_objects.isosurface.Caps`
+                instance or dict with compatible properties
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                `value`) or the bounds set in `cmin` and `cmax`
+                Defaults to `false` when `cmin` and `cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as `value` and if
+                set, `cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as `value`. Has no effect when `cauto` is
+                `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as `value` and if
+                set, `cmax` must be set as well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.isosurface.ColorBa
+                r` instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            contour
+                :class:`plotly.graph_objects.isosurface.Contour
+                ` instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            flatshading
+                Determines whether or not normal smoothing is
+                applied to the meshes, creating meshes with an
+                angular, low-poly look via flat reflections.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.isosurface.Hoverla
+                bel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            isomax
+                Sets the maximum boundary for iso-surface plot.
+            isomin
+                Sets the minimum boundary for iso-surface plot.
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lighting
+                :class:`plotly.graph_objects.isosurface.Lightin
+                g` instance or dict with compatible properties
+            lightposition
+                :class:`plotly.graph_objects.isosurface.Lightpo
+                sition` instance or dict with compatible
+                properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the surface. Please note
+                that in the case of using high `opacity` values
+                for example a value greater than or equal to
+                0.5 on two surfaces (and 0.25 with four
+                surfaces), an overlay of multiple transparent
+                surfaces may not perfectly be sorted in depth
+                by the webgl API. This behavior may be improved
+                in the near future and is subject to change.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            slices
+                :class:`plotly.graph_objects.isosurface.Slices`
+                instance or dict with compatible properties
+            spaceframe
+                :class:`plotly.graph_objects.isosurface.Spacefr
+                ame` instance or dict with compatible
+                properties
+            stream
+                :class:`plotly.graph_objects.isosurface.Stream`
+                instance or dict with compatible properties
+            surface
+                :class:`plotly.graph_objects.isosurface.Surface
+                ` instance or dict with compatible properties
+            text
+                Sets the text elements associated with the
+                vertices. If trace `hoverinfo` contains a
+                "text" flag and "hovertext" is not set, these
+                elements will be seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            value
+                Sets the 4th dimension (value) of the vertices.
+            valuesrc
+                Sets the source reference on Chart Studio Cloud
+                for  value .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the X coordinates of the vertices on X
+                axis.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the Y coordinates of the vertices on Y
+                axis.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the Z coordinates of the vertices on Z
+                axis.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_layout.py b/packages/python/plotly/plotly/validators/_layout.py
new file mode 100644
index 00000000000..8699c2a9196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_layout.py
@@ -0,0 +1,497 @@
+import _plotly_utils.basevalidators
+
+
+class LayoutValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="layout", parent_name="", **kwargs):
+        super(LayoutValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Layout"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            angularaxis
+                :class:`plotly.graph_objects.layout.AngularAxis
+                ` instance or dict with compatible properties
+            annotations
+                A tuple of
+                :class:`plotly.graph_objects.layout.Annotation`
+                instances or dicts with compatible properties
+            annotationdefaults
+                When used in a template (as
+                layout.template.layout.annotationdefaults),
+                sets the default property values to use for
+                elements of layout.annotations
+            autosize
+                Determines whether or not a layout width or
+                height that has been left undefined by the user
+                is initialized on each relayout. Note that,
+                regardless of this attribute, an undefined
+                layout width or height is always initialized on
+                the first call to plot.
+            bargap
+                Sets the gap (in plot fraction) between bars of
+                adjacent location coordinates.
+            bargroupgap
+                Sets the gap (in plot fraction) between bars of
+                the same location coordinate.
+            barmode
+                Determines how bars at the same location
+                coordinate are displayed on the graph. With
+                "stack", the bars are stacked on top of one
+                another With "relative", the bars are stacked
+                on top of one another, with negative values
+                below the axis, positive values above With
+                "group", the bars are plotted next to one
+                another centered around the shared location.
+                With "overlay", the bars are plotted over one
+                another, you might need to an "opacity" to see
+                multiple bars.
+            barnorm
+                Sets the normalization for bar traces on the
+                graph. With "fraction", the value of each bar
+                is divided by the sum of all values at that
+                location coordinate. "percent" is the same but
+                multiplied by 100 to show percentages.
+            boxgap
+                Sets the gap (in plot fraction) between boxes
+                of adjacent location coordinates. Has no effect
+                on traces that have "width" set.
+            boxgroupgap
+                Sets the gap (in plot fraction) between boxes
+                of the same location coordinate. Has no effect
+                on traces that have "width" set.
+            boxmode
+                Determines how boxes at the same location
+                coordinate are displayed on the graph. If
+                "group", the boxes are plotted next to one
+                another centered around the shared location. If
+                "overlay", the boxes are plotted over one
+                another, you might need to set "opacity" to see
+                them multiple boxes. Has no effect on traces
+                that have "width" set.
+            calendar
+                Sets the default calendar system to use for
+                interpreting and displaying dates throughout
+                the plot.
+            clickmode
+                Determines the mode of single click
+                interactions. "event" is the default value and
+                emits the `plotly_click` event. In addition
+                this mode emits the `plotly_selected` event in
+                drag modes "lasso" and "select", but with no
+                event data attached (kept for compatibility
+                reasons). The "select" flag enables selecting
+                single data points via click. This mode also
+                supports persistent selections, meaning that
+                pressing Shift while clicking, adds to /
+                subtracts from an existing selection. "select"
+                with `hovermode`: "x" can be confusing,
+                consider explicitly setting `hovermode`:
+                "closest" when using this feature. Selection
+                events are sent accordingly as long as "event"
+                flag is set as well. When the "event" flag is
+                missing, `plotly_click` and `plotly_selected`
+                events are not fired.
+            coloraxis
+                :class:`plotly.graph_objects.layout.Coloraxis`
+                instance or dict with compatible properties
+            colorscale
+                :class:`plotly.graph_objects.layout.Colorscale`
+                instance or dict with compatible properties
+            colorway
+                Sets the default trace colors.
+            datarevision
+                If provided, a changed value tells
+                `Plotly.react` that one or more data arrays has
+                changed. This way you can modify arrays in-
+                place rather than making a complete new copy
+                for an incremental change. If NOT provided,
+                `Plotly.react` assumes that data arrays are
+                being treated as immutable, thus any data array
+                with a different identity from its predecessor
+                contains new data.
+            direction
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the direction
+                corresponding to positive angles in legacy
+                polar charts.
+            dragmode
+                Determines the mode of drag interactions.
+                "select" and "lasso" apply only to scatter
+                traces with markers or text. "orbit" and
+                "turntable" apply only to 3D scenes.
+            editrevision
+                Controls persistence of user-driven changes in
+                `editable: true` configuration, other than
+                trace names and axis titles. Defaults to
+                `layout.uirevision`.
+            extendfunnelareacolors
+                If `true`, the funnelarea slice colors (whether
+                given by `funnelareacolorway` or inherited from
+                `colorway`) will be extended to three times its
+                original length by first repeating every color
+                20% lighter then each color 20% darker. This is
+                intended to reduce the likelihood of reusing
+                the same color when you have many slices, but
+                you can set `false` to disable. Colors provided
+                in the trace, using `marker.colors`, are never
+                extended.
+            extendpiecolors
+                If `true`, the pie slice colors (whether given
+                by `piecolorway` or inherited from `colorway`)
+                will be extended to three times its original
+                length by first repeating every color 20%
+                lighter then each color 20% darker. This is
+                intended to reduce the likelihood of reusing
+                the same color when you have many slices, but
+                you can set `false` to disable. Colors provided
+                in the trace, using `marker.colors`, are never
+                extended.
+            extendsunburstcolors
+                If `true`, the sunburst slice colors (whether
+                given by `sunburstcolorway` or inherited from
+                `colorway`) will be extended to three times its
+                original length by first repeating every color
+                20% lighter then each color 20% darker. This is
+                intended to reduce the likelihood of reusing
+                the same color when you have many slices, but
+                you can set `false` to disable. Colors provided
+                in the trace, using `marker.colors`, are never
+                extended.
+            extendtreemapcolors
+                If `true`, the treemap slice colors (whether
+                given by `treemapcolorway` or inherited from
+                `colorway`) will be extended to three times its
+                original length by first repeating every color
+                20% lighter then each color 20% darker. This is
+                intended to reduce the likelihood of reusing
+                the same color when you have many slices, but
+                you can set `false` to disable. Colors provided
+                in the trace, using `marker.colors`, are never
+                extended.
+            font
+                Sets the global font. Note that fonts used in
+                traces and other layout components inherit from
+                the global font.
+            funnelareacolorway
+                Sets the default funnelarea slice colors.
+                Defaults to the main `colorway` used for trace
+                colors. If you specify a new list here it can
+                still be extended with lighter and darker
+                colors, see `extendfunnelareacolors`.
+            funnelgap
+                Sets the gap (in plot fraction) between bars of
+                adjacent location coordinates.
+            funnelgroupgap
+                Sets the gap (in plot fraction) between bars of
+                the same location coordinate.
+            funnelmode
+                Determines how bars at the same location
+                coordinate are displayed on the graph. With
+                "stack", the bars are stacked on top of one
+                another With "group", the bars are plotted next
+                to one another centered around the shared
+                location. With "overlay", the bars are plotted
+                over one another, you might need to an
+                "opacity" to see multiple bars.
+            geo
+                :class:`plotly.graph_objects.layout.Geo`
+                instance or dict with compatible properties
+            grid
+                :class:`plotly.graph_objects.layout.Grid`
+                instance or dict with compatible properties
+            height
+                Sets the plot's height (in px).
+            hiddenlabels
+                hiddenlabels is the funnelarea & pie chart
+                analog of visible:'legendonly' but it can
+                contain many labels, and can simultaneously
+                hide slices from several pies/funnelarea charts
+            hiddenlabelssrc
+                Sets the source reference on Chart Studio Cloud
+                for  hiddenlabels .
+            hidesources
+                Determines whether or not a text link citing
+                the data source is placed at the bottom-right
+                cored of the figure. Has only an effect only on
+                graphs that have been generated via forked
+                graphs from the Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise).
+            hoverdistance
+                Sets the default distance (in pixels) to look
+                for data to add hover labels (-1 means no
+                cutoff, 0 means no looking for data). This is
+                only a real distance for hovering on point-like
+                objects, like scatter points. For area-like
+                objects (bars, scatter fills, etc) hovering is
+                on inside the area and off outside, but these
+                objects will not supersede hover on point-like
+                objects in case of conflict.
+            hoverlabel
+                :class:`plotly.graph_objects.layout.Hoverlabel`
+                instance or dict with compatible properties
+            hovermode
+                Determines the mode of hover interactions. If
+                "closest", a single hoverlabel will appear for
+                the "closest" point within the `hoverdistance`.
+                If "x" (or "y"), multiple hoverlabels will
+                appear for multiple points at the "closest" x-
+                (or y-) coordinate within the `hoverdistance`,
+                with the caveat that no more than one
+                hoverlabel will appear per trace. If *x
+                unified* (or *y unified*), a single hoverlabel
+                will appear multiple points at the closest x-
+                (or y-) coordinate within the `hoverdistance`
+                with the caveat that no more than one
+                hoverlabel will appear per trace. In this mode,
+                spikelines are enabled by default perpendicular
+                to the specified axis. If false, hover
+                interactions are disabled. If `clickmode`
+                includes the "select" flag, `hovermode`
+                defaults to "closest". If `clickmode` lacks the
+                "select" flag, it defaults to "x" or "y"
+                (depending on the trace's `orientation` value)
+                for plots based on cartesian coordinates. For
+                anything else the default value is "closest".
+            images
+                A tuple of
+                :class:`plotly.graph_objects.layout.Image`
+                instances or dicts with compatible properties
+            imagedefaults
+                When used in a template (as
+                layout.template.layout.imagedefaults), sets the
+                default property values to use for elements of
+                layout.images
+            legend
+                :class:`plotly.graph_objects.layout.Legend`
+                instance or dict with compatible properties
+            mapbox
+                :class:`plotly.graph_objects.layout.Mapbox`
+                instance or dict with compatible properties
+            margin
+                :class:`plotly.graph_objects.layout.Margin`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information that can be used
+                in various `text` attributes. Attributes such
+                as the graph, axis and colorbar `title.text`,
+                annotation `text` `trace.name` in legend items,
+                `rangeselector`, `updatemenus` and `sliders`
+                `label` text all support `meta`. One can access
+                `meta` fields using template strings:
+                `%{meta[i]}` where `i` is the index of the
+                `meta` item in question. `meta` can also be an
+                object for example `{key: value}` which can be
+                accessed %{meta[key]}.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            modebar
+                :class:`plotly.graph_objects.layout.Modebar`
+                instance or dict with compatible properties
+            orientation
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Rotates the entire
+                polar by the given angle in legacy polar
+                charts.
+            paper_bgcolor
+                Sets the background color of the paper where
+                the graph is drawn.
+            piecolorway
+                Sets the default pie slice colors. Defaults to
+                the main `colorway` used for trace colors. If
+                you specify a new list here it can still be
+                extended with lighter and darker colors, see
+                `extendpiecolors`.
+            plot_bgcolor
+                Sets the background color of the plotting area
+                in-between x and y axes.
+            polar
+                :class:`plotly.graph_objects.layout.Polar`
+                instance or dict with compatible properties
+            radialaxis
+                :class:`plotly.graph_objects.layout.RadialAxis`
+                instance or dict with compatible properties
+            scene
+                :class:`plotly.graph_objects.layout.Scene`
+                instance or dict with compatible properties
+            selectdirection
+                When "dragmode" is set to "select", this limits
+                the selection of the drag to horizontal,
+                vertical or diagonal. "h" only allows
+                horizontal selection, "v" only vertical, "d"
+                only diagonal and "any" sets no limit.
+            selectionrevision
+                Controls persistence of user-driven changes in
+                selected points from all traces.
+            separators
+                Sets the decimal and thousand separators. For
+                example, *. * puts a '.' before decimals and a
+                space between thousands. In English locales,
+                dflt is ".," but other locales may alter this
+                default.
+            shapes
+                A tuple of
+                :class:`plotly.graph_objects.layout.Shape`
+                instances or dicts with compatible properties
+            shapedefaults
+                When used in a template (as
+                layout.template.layout.shapedefaults), sets the
+                default property values to use for elements of
+                layout.shapes
+            showlegend
+                Determines whether or not a legend is drawn.
+                Default is `true` if there is a trace to show
+                and any of these: a) Two or more traces would
+                by default be shown in the legend. b) One pie
+                trace is shown in the legend. c) One trace is
+                explicitly given with `showlegend: true`.
+            sliders
+                A tuple of
+                :class:`plotly.graph_objects.layout.Slider`
+                instances or dicts with compatible properties
+            sliderdefaults
+                When used in a template (as
+                layout.template.layout.sliderdefaults), sets
+                the default property values to use for elements
+                of layout.sliders
+            spikedistance
+                Sets the default distance (in pixels) to look
+                for data to draw spikelines to (-1 means no
+                cutoff, 0 means no looking for data). As with
+                hoverdistance, distance does not apply to area-
+                like objects. In addition, some objects can be
+                hovered on but will not generate spikelines,
+                such as scatter fills.
+            sunburstcolorway
+                Sets the default sunburst slice colors.
+                Defaults to the main `colorway` used for trace
+                colors. If you specify a new list here it can
+                still be extended with lighter and darker
+                colors, see `extendsunburstcolors`.
+            template
+                Default attributes to be applied to the plot.
+                This should be a dict with format: `{'layout':
+                layoutTemplate, 'data': {trace_type:
+                [traceTemplate, ...], ...}}` where
+                `layoutTemplate` is a dict matching the
+                structure of `figure.layout` and
+                `traceTemplate` is a dict matching the
+                structure of the trace with type `trace_type`
+                (e.g. 'scatter'). Alternatively, this may be
+                specified as an instance of
+                plotly.graph_objs.layout.Template.  Trace
+                templates are applied cyclically to traces of
+                each type. Container arrays (eg `annotations`)
+                have special handling: An object ending in
+                `defaults` (eg `annotationdefaults`) is applied
+                to each array item. But if an item has a
+                `templateitemname` key we look in the template
+                array for an item with matching `name` and
+                apply that instead. If no matching `name` is
+                found we mark the item invisible. Any named
+                template item not referenced is appended to the
+                end of the array, so this can be used to add a
+                watermark annotation or a logo image, for
+                example. To omit one of these items on the
+                plot, make an item with matching
+                `templateitemname` and `visible: false`.
+            ternary
+                :class:`plotly.graph_objects.layout.Ternary`
+                instance or dict with compatible properties
+            title
+                :class:`plotly.graph_objects.layout.Title`
+                instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use layout.title.font
+                instead. Sets the title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            transition
+                Sets transition options used during
+                Plotly.react updates.
+            treemapcolorway
+                Sets the default treemap slice colors. Defaults
+                to the main `colorway` used for trace colors.
+                If you specify a new list here it can still be
+                extended with lighter and darker colors, see
+                `extendtreemapcolors`.
+            uirevision
+                Used to allow user interactions with the plot
+                to persist after `Plotly.react` calls that are
+                unaware of these interactions. If `uirevision`
+                is omitted, or if it is given and it changed
+                from the previous `Plotly.react` call, the
+                exact new figure is used. If `uirevision` is
+                truthy and did NOT change, any attribute that
+                has been affected by user interactions and did
+                not receive a different value in the new figure
+                will keep the interaction value.
+                `layout.uirevision` attribute serves as the
+                default for `uirevision` attributes in various
+                sub-containers. For finer control you can set
+                these sub-attributes directly. For example, if
+                your app separately controls the data on the x
+                and y axes you might set
+                `xaxis.uirevision=*time*` and
+                `yaxis.uirevision=*cost*`. Then if only the y
+                data is changed, you can update
+                `yaxis.uirevision=*quantity*` and the y axis
+                range will reset but the x axis range will
+                retain any user-driven zoom.
+            uniformtext
+                :class:`plotly.graph_objects.layout.Uniformtext
+                ` instance or dict with compatible properties
+            updatemenus
+                A tuple of
+                :class:`plotly.graph_objects.layout.Updatemenu`
+                instances or dicts with compatible properties
+            updatemenudefaults
+                When used in a template (as
+                layout.template.layout.updatemenudefaults),
+                sets the default property values to use for
+                elements of layout.updatemenus
+            violingap
+                Sets the gap (in plot fraction) between violins
+                of adjacent location coordinates. Has no effect
+                on traces that have "width" set.
+            violingroupgap
+                Sets the gap (in plot fraction) between violins
+                of the same location coordinate. Has no effect
+                on traces that have "width" set.
+            violinmode
+                Determines how violins at the same location
+                coordinate are displayed on the graph. If
+                "group", the violins are plotted next to one
+                another centered around the shared location. If
+                "overlay", the violins are plotted over one
+                another, you might need to set "opacity" to see
+                them multiple violins. Has no effect on traces
+                that have "width" set.
+            waterfallgap
+                Sets the gap (in plot fraction) between bars of
+                adjacent location coordinates.
+            waterfallgroupgap
+                Sets the gap (in plot fraction) between bars of
+                the same location coordinate.
+            waterfallmode
+                Determines how bars at the same location
+                coordinate are displayed on the graph. With
+                "group", the bars are plotted next to one
+                another centered around the shared location.
+                With "overlay", the bars are plotted over one
+                another, you might need to an "opacity" to see
+                multiple bars.
+            width
+                Sets the plot's width (in px).
+            xaxis
+                :class:`plotly.graph_objects.layout.XAxis`
+                instance or dict with compatible properties
+            yaxis
+                :class:`plotly.graph_objects.layout.YAxis`
+                instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_mesh3d.py b/packages/python/plotly/plotly/validators/_mesh3d.py
new file mode 100644
index 00000000000..56e90bed1a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_mesh3d.py
@@ -0,0 +1,369 @@
+import _plotly_utils.basevalidators
+
+
+class Mesh3DValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="mesh3d", parent_name="", **kwargs):
+        super(Mesh3DValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Mesh3d"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alphahull
+                Determines how the mesh surface triangles are
+                derived from the set of vertices (points)
+                represented by the `x`, `y` and `z` arrays, if
+                the `i`, `j`, `k` arrays are not supplied. For
+                general use of `mesh3d` it is preferred that
+                `i`, `j`, `k` are supplied. If "-1", Delaunay
+                triangulation is used, which is mainly suitable
+                if the mesh is a single, more or less layer
+                surface that is perpendicular to
+                `delaunayaxis`. In case the `delaunayaxis`
+                intersects the mesh surface at more than one
+                point it will result triangles that are very
+                long in the dimension of `delaunayaxis`. If
+                ">0", the alpha-shape algorithm is used. In
+                this case, the positive `alphahull` value
+                signals the use of the alpha-shape algorithm,
+                _and_ its value acts as the parameter for the
+                mesh fitting. If 0,  the convex-hull algorithm
+                is used. It is suitable for convex bodies or if
+                the intention is to enclose the `x`, `y` and
+                `z` point set into a convex hull.
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                `intensity`) or the bounds set in `cmin` and
+                `cmax`  Defaults to `false` when `cmin` and
+                `cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as `intensity` and
+                if set, `cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as `intensity`. Has no effect when `cauto` is
+                `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as `intensity` and
+                if set, `cmax` must be set as well.
+            color
+                Sets the color of the whole mesh
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.mesh3d.ColorBar`
+                instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            contour
+                :class:`plotly.graph_objects.mesh3d.Contour`
+                instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            delaunayaxis
+                Sets the Delaunay axis, which is the axis that
+                is perpendicular to the surface of the Delaunay
+                triangulation. It has an effect if `i`, `j`,
+                `k` are not provided and `alphahull` is set to
+                indicate Delaunay triangulation.
+            facecolor
+                Sets the color of each face Overrides "color"
+                and "vertexcolor".
+            facecolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  facecolor .
+            flatshading
+                Determines whether or not normal smoothing is
+                applied to the meshes, creating meshes with an
+                angular, low-poly look via flat reflections.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.mesh3d.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            i
+                A vector of vertex indices, i.e. integer values
+                between 0 and the length of the vertex vectors,
+                representing the "first" vertex of a triangle.
+                For example, `{i[m], j[m], k[m]}` together
+                represent face m (triangle m) in the mesh,
+                where `i[m] = n` points to the triplet `{x[n],
+                y[n], z[n]}` in the vertex arrays. Therefore,
+                each element in `i` represents a point in
+                space, which is the first vertex of a triangle.
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            intensity
+                Sets the intensity values for vertices or cells
+                as defined by `intensitymode`. It can be used
+                for plotting fields on meshes.
+            intensitymode
+                Determines the source of `intensity` values.
+            intensitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  intensity .
+            isrc
+                Sets the source reference on Chart Studio Cloud
+                for  i .
+            j
+                A vector of vertex indices, i.e. integer values
+                between 0 and the length of the vertex vectors,
+                representing the "second" vertex of a triangle.
+                For example, `{i[m], j[m], k[m]}`  together
+                represent face m (triangle m) in the mesh,
+                where `j[m] = n` points to the triplet `{x[n],
+                y[n], z[n]}` in the vertex arrays. Therefore,
+                each element in `j` represents a point in
+                space, which is the second vertex of a
+                triangle.
+            jsrc
+                Sets the source reference on Chart Studio Cloud
+                for  j .
+            k
+                A vector of vertex indices, i.e. integer values
+                between 0 and the length of the vertex vectors,
+                representing the "third" vertex of a triangle.
+                For example, `{i[m], j[m], k[m]}` together
+                represent face m (triangle m) in the mesh,
+                where `k[m] = n` points to the triplet  `{x[n],
+                y[n], z[n]}` in the vertex arrays. Therefore,
+                each element in `k` represents a point in
+                space, which is the third vertex of a triangle.
+            ksrc
+                Sets the source reference on Chart Studio Cloud
+                for  k .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lighting
+                :class:`plotly.graph_objects.mesh3d.Lighting`
+                instance or dict with compatible properties
+            lightposition
+                :class:`plotly.graph_objects.mesh3d.Lightpositi
+                on` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the surface. Please note
+                that in the case of using high `opacity` values
+                for example a value greater than or equal to
+                0.5 on two surfaces (and 0.25 with four
+                surfaces), an overlay of multiple transparent
+                surfaces may not perfectly be sorted in depth
+                by the webgl API. This behavior may be improved
+                in the near future and is subject to change.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.mesh3d.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with the
+                vertices. If trace `hoverinfo` contains a
+                "text" flag and "hovertext" is not set, these
+                elements will be seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            vertexcolor
+                Sets the color of each vertex Overrides
+                "color". While Red, green and blue colors are
+                in the range of 0 and 255; in the case of
+                having vertex color data in RGBA format, the
+                alpha color should be normalized to be between
+                0 and 1.
+            vertexcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  vertexcolor .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the X coordinates of the vertices. The nth
+                element of vectors `x`, `y` and `z` jointly
+                represent the X, Y and Z coordinates of the nth
+                vertex.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the Y coordinates of the vertices. The nth
+                element of vectors `x`, `y` and `z` jointly
+                represent the X, Y and Z coordinates of the nth
+                vertex.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the Z coordinates of the vertices. The nth
+                element of vectors `x`, `y` and `z` jointly
+                represent the X, Y and Z coordinates of the nth
+                vertex.
+            zcalendar
+                Sets the calendar system to use with `z` date
+                data.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_ohlc.py b/packages/python/plotly/plotly/validators/_ohlc.py
new file mode 100644
index 00000000000..64f3b890423
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_ohlc.py
@@ -0,0 +1,184 @@
+import _plotly_utils.basevalidators
+
+
+class OhlcValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="ohlc", parent_name="", **kwargs):
+        super(OhlcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Ohlc"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            close
+                Sets the close values.
+            closesrc
+                Sets the source reference on Chart Studio Cloud
+                for  close .
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            decreasing
+                :class:`plotly.graph_objects.ohlc.Decreasing`
+                instance or dict with compatible properties
+            high
+                Sets the high values.
+            highsrc
+                Sets the source reference on Chart Studio Cloud
+                for  high .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.ohlc.Hoverlabel`
+                instance or dict with compatible properties
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            increasing
+                :class:`plotly.graph_objects.ohlc.Increasing`
+                instance or dict with compatible properties
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.ohlc.Line`
+                instance or dict with compatible properties
+            low
+                Sets the low values.
+            lowsrc
+                Sets the source reference on Chart Studio Cloud
+                for  low .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            open
+                Sets the open values.
+            opensrc
+                Sets the source reference on Chart Studio Cloud
+                for  open .
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.ohlc.Stream`
+                instance or dict with compatible properties
+            text
+                Sets hover text elements associated with each
+                sample point. If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to this trace's sample points.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            tickwidth
+                Sets the width of the open/close tick marks
+                relative to the "x" minimal interval.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates. If absent, linear
+                coordinate will be generated.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_parcats.py b/packages/python/plotly/plotly/validators/_parcats.py
new file mode 100644
index 00000000000..2b7607ebf14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_parcats.py
@@ -0,0 +1,154 @@
+import _plotly_utils.basevalidators
+
+
+class ParcatsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="parcats", parent_name="", **kwargs):
+        super(ParcatsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Parcats"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            arrangement
+                Sets the drag interaction mode for categories
+                and dimensions. If `perpendicular`, the
+                categories can only move along a line
+                perpendicular to the paths. If `freeform`, the
+                categories can freely move on the plane. If
+                `fixed`, the categories and dimensions are
+                stationary.
+            bundlecolors
+                Sort paths so that like colors are bundled
+                together within each category.
+            counts
+                The number of observations represented by each
+                state. Defaults to 1 so that each state
+                represents one observation
+            countssrc
+                Sets the source reference on Chart Studio Cloud
+                for  counts .
+            dimensions
+                The dimensions (variables) of the parallel
+                categories diagram.
+            dimensiondefaults
+                When used in a template (as layout.template.dat
+                a.parcats.dimensiondefaults), sets the default
+                property values to use for elements of
+                parcats.dimensions
+            domain
+                :class:`plotly.graph_objects.parcats.Domain`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoveron
+                Sets the hover interaction mode for the parcats
+                diagram. If `category`, hover interaction take
+                place per category. If `color`, hover
+                interactions take place per color per category.
+                If `dimension`, hover interactions take place
+                across all categories per dimension.
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `count`, `probability`, `category`,
+                `categorycount`, `colorcount` and
+                `bandcolorcount`. Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            labelfont
+                Sets the font for the `dimension` labels.
+            line
+                :class:`plotly.graph_objects.parcats.Line`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            sortpaths
+                Sets the path sorting algorithm. If `forward`,
+                sort paths based on dimension categories from
+                left to right. If `backward`, sort paths based
+                on dimensions categories from right to left.
+            stream
+                :class:`plotly.graph_objects.parcats.Stream`
+                instance or dict with compatible properties
+            tickfont
+                Sets the font for the `category` labels.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_parcoords.py b/packages/python/plotly/plotly/validators/_parcoords.py
new file mode 100644
index 00000000000..c7d03a66cfa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_parcoords.py
@@ -0,0 +1,122 @@
+import _plotly_utils.basevalidators
+
+
+class ParcoordsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="parcoords", parent_name="", **kwargs):
+        super(ParcoordsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Parcoords"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dimensions
+                The dimensions (variables) of the parallel
+                coordinates chart. 2..60 dimensions are
+                supported.
+            dimensiondefaults
+                When used in a template (as layout.template.dat
+                a.parcoords.dimensiondefaults), sets the
+                default property values to use for elements of
+                parcoords.dimensions
+            domain
+                :class:`plotly.graph_objects.parcoords.Domain`
+                instance or dict with compatible properties
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            labelangle
+                Sets the angle of the labels with respect to
+                the horizontal. For example, a `tickangle` of
+                -90 draws the labels vertically. Tilted labels
+                with "labelangle" may be positioned better
+                inside margins when `labelposition` is set to
+                "bottom".
+            labelfont
+                Sets the font for the `dimension` labels.
+            labelside
+                Specifies the location of the `label`. "top"
+                positions labels above, next to the title
+                "bottom" positions labels below the graph
+                Tilted labels with "labelangle" may be
+                positioned better inside margins when
+                `labelposition` is set to "bottom".
+            line
+                :class:`plotly.graph_objects.parcoords.Line`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            rangefont
+                Sets the font for the `dimension` range values.
+            stream
+                :class:`plotly.graph_objects.parcoords.Stream`
+                instance or dict with compatible properties
+            tickfont
+                Sets the font for the `dimension` tick values.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_pie.py b/packages/python/plotly/plotly/validators/_pie.py
new file mode 100644
index 00000000000..7d00a988fc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_pie.py
@@ -0,0 +1,283 @@
+import _plotly_utils.basevalidators
+
+
+class PieValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pie", parent_name="", **kwargs):
+        super(PieValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pie"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            automargin
+                Determines whether outside text labels can push
+                the margins.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            direction
+                Specifies the direction at which succeeding
+                sectors follow one another.
+            dlabel
+                Sets the label step. See `label0` for more
+                info.
+            domain
+                :class:`plotly.graph_objects.pie.Domain`
+                instance or dict with compatible properties
+            hole
+                Sets the fraction of the radius to cut out of
+                the pie. Use this to make a donut chart.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.pie.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `label`, `color`, `value`, `percent`
+                and `text`. Anything contained in tag `<extra>`
+                is displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                sector. If a single string, the same string
+                appears for all data points. If an array of
+                string, the items are mapped in order of this
+                trace's sectors. To be seen, trace `hoverinfo`
+                must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            insidetextfont
+                Sets the font used for `textinfo` lying inside
+                the sector.
+            insidetextorientation
+                Controls the orientation of the text inside
+                chart sectors. When set to "auto", text may be
+                oriented in any direction in order to be as big
+                as possible in the middle of a sector. The
+                "horizontal" option orients text to be parallel
+                with the bottom of the chart, and may make text
+                smaller in order to achieve that goal. The
+                "radial" option orients text along the radius
+                of the sector. The "tangential" option orients
+                text perpendicular to the radius of the sector.
+            label0
+                Alternate to `labels`. Builds a numeric set of
+                labels. Use with `dlabel` where `label0` is the
+                starting label and `dlabel` the step.
+            labels
+                Sets the sector labels. If `labels` entries are
+                duplicated, we sum associated `values` or
+                simply count occurrences if `values` is not
+                provided. For other array attributes (including
+                color) we use the first non-empty entry among
+                all occurrences of the label.
+            labelssrc
+                Sets the source reference on Chart Studio Cloud
+                for  labels .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.pie.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            outsidetextfont
+                Sets the font used for `textinfo` lying outside
+                the sector.
+            pull
+                Sets the fraction of larger radius to pull the
+                sectors out from the center. This can be a
+                constant to pull all slices apart from each
+                other equally or an array to highlight one or
+                more slices.
+            pullsrc
+                Sets the source reference on Chart Studio Cloud
+                for  pull .
+            rotation
+                Instead of the first slice starting at 12
+                o'clock, rotate to some other angle.
+            scalegroup
+                If there are multiple pie charts that should be
+                sized according to their totals, link them by
+                providing a non-empty group id here shared by
+                every trace in the same group.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            sort
+                Determines whether or not the sectors are
+                reordered from largest to smallest.
+            stream
+                :class:`plotly.graph_objects.pie.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each sector.
+                If trace `textinfo` contains a "text" flag,
+                these elements will be seen on the chart. If
+                trace `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the font used for `textinfo`.
+            textinfo
+                Determines which trace information appear on
+                the graph.
+            textposition
+                Specifies the location of the `textinfo`.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `label`, `color`, `value`,
+                `percent` and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            title
+                :class:`plotly.graph_objects.pie.Title`
+                instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use pie.title.font instead.
+                Sets the font used for `title`. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleposition
+                Deprecated: Please use pie.title.position
+                instead. Specifies the location of the `title`.
+                Note that the title's position used to be set
+                by the now deprecated `titleposition`
+                attribute.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            values
+                Sets the values of the sectors. If omitted, we
+                count occurrences of each label.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_pointcloud.py b/packages/python/plotly/plotly/validators/_pointcloud.py
new file mode 100644
index 00000000000..6a39b4584e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_pointcloud.py
@@ -0,0 +1,185 @@
+import _plotly_utils.basevalidators
+
+
+class PointcloudValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pointcloud", parent_name="", **kwargs):
+        super(PointcloudValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pointcloud"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.pointcloud.Hoverla
+                bel` instance or dict with compatible
+                properties
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            indices
+                A sequential value, 0..n, supply it to avoid
+                creating this array inside plotting. If
+                specified, it must be a typed `Int32Array`
+                array. Its length must be equal to or greater
+                than the number of points. For the best
+                performance and memory use, create one large
+                `indices` typed array that is guaranteed to be
+                at least as long as the largest number of
+                points during use, and reuse it on each
+                `Plotly.restyle()` call.
+            indicessrc
+                Sets the source reference on Chart Studio Cloud
+                for  indices .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.pointcloud.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.pointcloud.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xbounds
+                Specify `xbounds` in the shape of `[xMin, xMax]
+                to avoid looping through the `xy` typed array.
+                Use it in conjunction with `xy` and `ybounds`
+                for the performance benefits.
+            xboundssrc
+                Sets the source reference on Chart Studio Cloud
+                for  xbounds .
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            xy
+                Faster alternative to specifying `x` and `y`
+                separately. If supplied, it must be a typed
+                `Float32Array` array that represents points
+                such that `xy[i * 2] = x[i]` and `xy[i * 2 + 1]
+                = y[i]`
+            xysrc
+                Sets the source reference on Chart Studio Cloud
+                for  xy .
+            y
+                Sets the y coordinates.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ybounds
+                Specify `ybounds` in the shape of `[yMin, yMax]
+                to avoid looping through the `xy` typed array.
+                Use it in conjunction with `xy` and `xbounds`
+                for the performance benefits.
+            yboundssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ybounds .
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_sankey.py b/packages/python/plotly/plotly/validators/_sankey.py
new file mode 100644
index 00000000000..f48ac76f0a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_sankey.py
@@ -0,0 +1,138 @@
+import _plotly_utils.basevalidators
+
+
+class SankeyValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="sankey", parent_name="", **kwargs):
+        super(SankeyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Sankey"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            arrangement
+                If value is `snap` (the default), the node
+                arrangement is assisted by automatic snapping
+                of elements to preserve space between nodes
+                specified via `nodepad`. If value is
+                `perpendicular`, the nodes can only move along
+                a line perpendicular to the flow. If value is
+                `freeform`, the nodes can freely move on the
+                plane. If value is `fixed`, the nodes are
+                stationary.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            domain
+                :class:`plotly.graph_objects.sankey.Domain`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired. Note that this attribute is superseded
+                by `node.hoverinfo` and `node.hoverinfo` for
+                nodes and links respectively.
+            hoverlabel
+                :class:`plotly.graph_objects.sankey.Hoverlabel`
+                instance or dict with compatible properties
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            link
+                The links of the Sankey plot.
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            node
+                The nodes of the Sankey plot.
+            orientation
+                Sets the orientation of the Sankey diagram.
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            stream
+                :class:`plotly.graph_objects.sankey.Stream`
+                instance or dict with compatible properties
+            textfont
+                Sets the font for node labels
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            valueformat
+                Sets the value formatting rule using d3
+                formatting mini-language which is similar to
+                those of Python. See
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            valuesuffix
+                Adds a unit to follow the value in the hover
+                tooltip. Add a space if a separation is
+                necessary from the value.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scatter.py b/packages/python/plotly/plotly/validators/_scatter.py
new file mode 100644
index 00000000000..d738cc90221
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scatter.py
@@ -0,0 +1,385 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scatter", parent_name="", **kwargs):
+        super(ScatterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatter"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            cliponaxis
+                Determines whether or not markers and text
+                nodes are clipped about the subplot axes. To
+                show markers and text nodes above axis lines
+                and tick labels, make sure to set `xaxis.layer`
+                and `yaxis.layer` to *below traces*.
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            error_x
+                :class:`plotly.graph_objects.scatter.ErrorX`
+                instance or dict with compatible properties
+            error_y
+                :class:`plotly.graph_objects.scatter.ErrorY`
+                instance or dict with compatible properties
+            fill
+                Sets the area to fill with a solid color.
+                Defaults to "none" unless this trace is
+                stacked, then it gets "tonexty" ("tonextx") if
+                `orientation` is "v" ("h") Use with `fillcolor`
+                if not "none". "tozerox" and "tozeroy" fill to
+                x=0 and y=0 respectively. "tonextx" and
+                "tonexty" fill between the endpoints of this
+                trace and the endpoints of the trace before it,
+                connecting those endpoints with straight lines
+                (to make a stacked area graph); if there is no
+                trace before it, they behave like "tozerox" and
+                "tozeroy". "toself" connects the endpoints of
+                the trace (or each segment of the trace if it
+                has gaps) into a closed shape. "tonext" fills
+                the space between two traces if one completely
+                encloses the other (eg consecutive contour
+                lines), and behaves like "toself" if there is
+                no trace before it. "tonext" should not be used
+                if one trace does not enclose the other. Traces
+                in a `stackgroup` will only fill to (or be
+                filled to) other traces in the same group. With
+                multiple `stackgroup`s or some traces stacked
+                and some not, if fill-linked traces are not
+                already consecutive, the later ones will be
+                pushed down in the drawing order.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            groupnorm
+                Only relevant when `stackgroup` is used, and
+                only the first `groupnorm` found in the
+                `stackgroup` will be used - including if
+                `visible` is "legendonly" but not if it is
+                `false`. Sets the normalization for the sum of
+                this `stackgroup`. With "fraction", the value
+                of each trace at each location is divided by
+                the sum of all trace values at that location.
+                "percent" is the same but multiplied by 100 to
+                show percentages. If there are multiple
+                subplots, or multiple `stackgroup`s on one
+                subplot, each will be normalized within its own
+                set.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scatter.Hoverlabel
+                ` instance or dict with compatible properties
+            hoveron
+                Do the hover effects highlight individual
+                points (markers or line points) or do they
+                highlight filled regions? If the fill is
+                "toself" or "tonext" and there are no markers
+                or text, then the default is "fills", otherwise
+                it is "points".
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scatter.Line`
+                instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scatter.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Only relevant when `stackgroup` is used, and
+                only the first `orientation` found in the
+                `stackgroup` will be used - including if
+                `visible` is "legendonly" but not if it is
+                `false`. Sets the stacking direction. With "v"
+                ("h"), the y (x) values of subsequent traces
+                are added. Also affects the default value of
+                `fill`.
+            r
+                r coordinates in scatter traces are
+                deprecated!Please switch to the "scatterpolar"
+                trace type.Sets the radial coordinatesfor
+                legacy polar chart only.
+            rsrc
+                Sets the source reference on Chart Studio Cloud
+                for  r .
+            selected
+                :class:`plotly.graph_objects.scatter.Selected`
+                instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stackgaps
+                Only relevant when `stackgroup` is used, and
+                only the first `stackgaps` found in the
+                `stackgroup` will be used - including if
+                `visible` is "legendonly" but not if it is
+                `false`. Determines how we handle locations at
+                which other traces in this group have data but
+                this one does not. With *infer zero* we insert
+                a zero at these locations. With "interpolate"
+                we linearly interpolate between existing
+                values, and extrapolate a constant beyond the
+                existing values.
+            stackgroup
+                Set several scatter traces (on the same
+                subplot) to the same stackgroup in order to add
+                their y values (or their x values if
+                `orientation` is "h"). If blank or omitted this
+                trace will not be stacked. Stacking also turns
+                `fill` on by default, using "tonexty"
+                ("tonextx") if `orientation` is "h" ("v") and
+                sets the default `mode` to "lines" irrespective
+                of point count. You can only stack on a numeric
+                (linear or log) axis. Traces in a `stackgroup`
+                will only fill to (or be filled to) other
+                traces in the same group. With multiple
+                `stackgroup`s or some traces stacked and some
+                not, if fill-linked traces are not already
+                consecutive, the later ones will be pushed down
+                in the drawing order.
+            stream
+                :class:`plotly.graph_objects.scatter.Stream`
+                instance or dict with compatible properties
+            t
+                t coordinates in scatter traces are
+                deprecated!Please switch to the "scatterpolar"
+                trace type.Sets the angular coordinatesfor
+                legacy polar chart only.
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            tsrc
+                Sets the source reference on Chart Studio Cloud
+                for  t .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scatter.Unselected
+                ` instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scatter3d.py b/packages/python/plotly/plotly/validators/_scatter3d.py
new file mode 100644
index 00000000000..8c58de59b0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scatter3d.py
@@ -0,0 +1,261 @@
+import _plotly_utils.basevalidators
+
+
+class Scatter3DValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scatter3d", parent_name="", **kwargs):
+        super(Scatter3DValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatter3d"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            error_x
+                :class:`plotly.graph_objects.scatter3d.ErrorX`
+                instance or dict with compatible properties
+            error_y
+                :class:`plotly.graph_objects.scatter3d.ErrorY`
+                instance or dict with compatible properties
+            error_z
+                :class:`plotly.graph_objects.scatter3d.ErrorZ`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scatter3d.Hoverlab
+                el` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets text elements associated with each (x,y,z)
+                triplet. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y,z) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scatter3d.Line`
+                instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scatter3d.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            projection
+                :class:`plotly.graph_objects.scatter3d.Projecti
+                on` instance or dict with compatible properties
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scatter3d.Stream`
+                instance or dict with compatible properties
+            surfaceaxis
+                If "-1", the scatter points are not fill with a
+                surface If 0, 1, 2, the scatter points are
+                filled with a Delaunay surface about the x, y,
+                z respectively.
+            surfacecolor
+                Sets the surface fill color.
+            text
+                Sets text elements associated with each (x,y,z)
+                triplet. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y,z) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                :class:`plotly.graph_objects.scatter3d.Textfont
+                ` instance or dict with compatible properties
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the z coordinates.
+            zcalendar
+                Sets the calendar system to use with `z` date
+                data.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scattercarpet.py b/packages/python/plotly/plotly/validators/_scattercarpet.py
new file mode 100644
index 00000000000..e5d92aa1bca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scattercarpet.py
@@ -0,0 +1,278 @@
+import _plotly_utils.basevalidators
+
+
+class ScattercarpetValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scattercarpet", parent_name="", **kwargs):
+        super(ScattercarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattercarpet"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            a
+                Sets the a-axis coordinates.
+            asrc
+                Sets the source reference on Chart Studio Cloud
+                for  a .
+            b
+                Sets the b-axis coordinates.
+            bsrc
+                Sets the source reference on Chart Studio Cloud
+                for  b .
+            carpet
+                An identifier for this carpet, so that
+                `scattercarpet` and `contourcarpet` traces can
+                specify a carpet plot on which they lie
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            fill
+                Sets the area to fill with a solid color. Use
+                with `fillcolor` if not "none". scatterternary
+                has a subset of the options available to
+                scatter. "toself" connects the endpoints of the
+                trace (or each segment of the trace if it has
+                gaps) into a closed shape. "tonext" fills the
+                space between two traces if one completely
+                encloses the other (eg consecutive contour
+                lines), and behaves like "toself" if there is
+                no trace before it. "tonext" should not be used
+                if one trace does not enclose the other.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scattercarpet.Hove
+                rlabel` instance or dict with compatible
+                properties
+            hoveron
+                Do the hover effects highlight individual
+                points (markers or line points) or do they
+                highlight filled regions? If the fill is
+                "toself" or "tonext" and there are no markers
+                or text, then the default is "fills", otherwise
+                it is "points".
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (a,b) point. If a single string, the same
+                string appears over all the data points. If an
+                array of strings, the items are mapped in order
+                to the the data points in (a,b). To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scattercarpet.Line
+                ` instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scattercarpet.Mark
+                er` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            selected
+                :class:`plotly.graph_objects.scattercarpet.Sele
+                cted` instance or dict with compatible
+                properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scattercarpet.Stre
+                am` instance or dict with compatible properties
+            text
+                Sets text elements associated with each (a,b)
+                point. If a single string, the same string
+                appears over all the data points. If an array
+                of strings, the items are mapped in order to
+                the the data points in (a,b). If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `a`, `b` and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scattercarpet.Unse
+                lected` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scattergeo.py b/packages/python/plotly/plotly/validators/_scattergeo.py
new file mode 100644
index 00000000000..646a7bda6df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scattergeo.py
@@ -0,0 +1,291 @@
+import _plotly_utils.basevalidators
+
+
+class ScattergeoValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scattergeo", parent_name="", **kwargs):
+        super(ScattergeoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattergeo"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            featureidkey
+                Sets the key in GeoJSON features which is used
+                as id to match the items included in the
+                `locations` array. Only has an effect when
+                `geojson` is set. Support nested property, for
+                example "properties.name".
+            fill
+                Sets the area to fill with a solid color. Use
+                with `fillcolor` if not "none". "toself"
+                connects the endpoints of the trace (or each
+                segment of the trace if it has gaps) into a
+                closed shape.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            geo
+                Sets a reference between this trace's
+                geospatial coordinates and a geographic map. If
+                "geo" (the default value), the geospatial
+                coordinates refer to `layout.geo`. If "geo2",
+                the geospatial coordinates refer to
+                `layout.geo2`, and so on.
+            geojson
+                Sets optional GeoJSON data associated with this
+                trace. If not given, the features on the base
+                map are used when `locations` is set. It can be
+                set as a valid GeoJSON object or as a URL
+                string. Note that we only accept GeoJSONs of
+                type "FeatureCollection" or "Feature" with
+                geometries of type "Polygon" or "MultiPolygon".
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scattergeo.Hoverla
+                bel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (lon,lat) pair or item in `locations`. If a
+                single string, the same string appears over all
+                the data points. If an array of string, the
+                items are mapped in order to the this trace's
+                (lon,lat) or `locations` coordinates. To be
+                seen, trace `hoverinfo` must contain a "text"
+                flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            lat
+                Sets the latitude coordinates (in degrees
+                North).
+            latsrc
+                Sets the source reference on Chart Studio Cloud
+                for  lat .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scattergeo.Line`
+                instance or dict with compatible properties
+            locationmode
+                Determines the set of locations used to match
+                entries in `locations` to regions on the map.
+                Values "ISO-3", "USA-states", *country names*
+                correspond to features on the base map and
+                value "geojson-id" corresponds to features from
+                a custom GeoJSON linked to the `geojson`
+                attribute.
+            locations
+                Sets the coordinates via location IDs or names.
+                Coordinates correspond to the centroid of each
+                location given. See `locationmode` for more
+                info.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            lon
+                Sets the longitude coordinates (in degrees
+                East).
+            lonsrc
+                Sets the source reference on Chart Studio Cloud
+                for  lon .
+            marker
+                :class:`plotly.graph_objects.scattergeo.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            selected
+                :class:`plotly.graph_objects.scattergeo.Selecte
+                d` instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scattergeo.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each
+                (lon,lat) pair or item in `locations`. If a
+                single string, the same string appears over all
+                the data points. If an array of string, the
+                items are mapped in order to the this trace's
+                (lon,lat) or `locations` coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `lat`, `lon`, `location`
+                and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scattergeo.Unselec
+                ted` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scattergl.py b/packages/python/plotly/plotly/validators/_scattergl.py
new file mode 100644
index 00000000000..a45ca1043e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scattergl.py
@@ -0,0 +1,299 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterglValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scattergl", parent_name="", **kwargs):
+        super(ScatterglValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattergl"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            error_x
+                :class:`plotly.graph_objects.scattergl.ErrorX`
+                instance or dict with compatible properties
+            error_y
+                :class:`plotly.graph_objects.scattergl.ErrorY`
+                instance or dict with compatible properties
+            fill
+                Sets the area to fill with a solid color.
+                Defaults to "none" unless this trace is
+                stacked, then it gets "tonexty" ("tonextx") if
+                `orientation` is "v" ("h") Use with `fillcolor`
+                if not "none". "tozerox" and "tozeroy" fill to
+                x=0 and y=0 respectively. "tonextx" and
+                "tonexty" fill between the endpoints of this
+                trace and the endpoints of the trace before it,
+                connecting those endpoints with straight lines
+                (to make a stacked area graph); if there is no
+                trace before it, they behave like "tozerox" and
+                "tozeroy". "toself" connects the endpoints of
+                the trace (or each segment of the trace if it
+                has gaps) into a closed shape. "tonext" fills
+                the space between two traces if one completely
+                encloses the other (eg consecutive contour
+                lines), and behaves like "toself" if there is
+                no trace before it. "tonext" should not be used
+                if one trace does not enclose the other. Traces
+                in a `stackgroup` will only fill to (or be
+                filled to) other traces in the same group. With
+                multiple `stackgroup`s or some traces stacked
+                and some not, if fill-linked traces are not
+                already consecutive, the later ones will be
+                pushed down in the drawing order.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scattergl.Hoverlab
+                el` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scattergl.Line`
+                instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scattergl.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace.
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            selected
+                :class:`plotly.graph_objects.scattergl.Selected
+                ` instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scattergl.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scattergl.Unselect
+                ed` instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scattermapbox.py b/packages/python/plotly/plotly/validators/_scattermapbox.py
new file mode 100644
index 00000000000..bab25d74807
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scattermapbox.py
@@ -0,0 +1,263 @@
+import _plotly_utils.basevalidators
+
+
+class ScattermapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scattermapbox", parent_name="", **kwargs):
+        super(ScattermapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattermapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            below
+                Determines if this scattermapbox trace's layers
+                are to be inserted before the layer with the
+                specified ID. By default, scattermapbox layers
+                are inserted above all the base layers. To
+                place the scattermapbox layers above every
+                other layer, set `below` to "''".
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            fill
+                Sets the area to fill with a solid color. Use
+                with `fillcolor` if not "none". "toself"
+                connects the endpoints of the trace (or each
+                segment of the trace if it has gaps) into a
+                closed shape.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scattermapbox.Hove
+                rlabel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (lon,lat) pair If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to the this trace's (lon,lat) coordinates. To
+                be seen, trace `hoverinfo` must contain a
+                "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            lat
+                Sets the latitude coordinates (in degrees
+                North).
+            latsrc
+                Sets the source reference on Chart Studio Cloud
+                for  lat .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scattermapbox.Line
+                ` instance or dict with compatible properties
+            lon
+                Sets the longitude coordinates (in degrees
+                East).
+            lonsrc
+                Sets the source reference on Chart Studio Cloud
+                for  lon .
+            marker
+                :class:`plotly.graph_objects.scattermapbox.Mark
+                er` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover.
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            selected
+                :class:`plotly.graph_objects.scattermapbox.Sele
+                cted` instance or dict with compatible
+                properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scattermapbox.Stre
+                am` instance or dict with compatible properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a mapbox subplot. If "mapbox"
+                (the default value), the data refer to
+                `layout.mapbox`. If "mapbox2", the data refer
+                to `layout.mapbox2`, and so on.
+            text
+                Sets text elements associated with each
+                (lon,lat) pair If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to the this trace's (lon,lat) coordinates. If
+                trace `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the icon text font
+                (color=mapbox.layer.paint.text-color,
+                size=mapbox.layer.layout.text-size). Has an
+                effect only when `type` is set to "symbol".
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `lat`, `lon` and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scattermapbox.Unse
+                lected` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scatterpolar.py b/packages/python/plotly/plotly/validators/_scatterpolar.py
new file mode 100644
index 00000000000..e64a05e76b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scatterpolar.py
@@ -0,0 +1,292 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterpolarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scatterpolar", parent_name="", **kwargs):
+        super(ScatterpolarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatterpolar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            cliponaxis
+                Determines whether or not markers and text
+                nodes are clipped about the subplot axes. To
+                show markers and text nodes above axis lines
+                and tick labels, make sure to set `xaxis.layer`
+                and `yaxis.layer` to *below traces*.
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dr
+                Sets the r coordinate step.
+            dtheta
+                Sets the theta coordinate step. By default, the
+                `dtheta` step equals the subplot's period
+                divided by the length of the `r` coordinates.
+            fill
+                Sets the area to fill with a solid color. Use
+                with `fillcolor` if not "none". scatterpolar
+                has a subset of the options available to
+                scatter. "toself" connects the endpoints of the
+                trace (or each segment of the trace if it has
+                gaps) into a closed shape. "tonext" fills the
+                space between two traces if one completely
+                encloses the other (eg consecutive contour
+                lines), and behaves like "toself" if there is
+                no trace before it. "tonext" should not be used
+                if one trace does not enclose the other.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scatterpolar.Hover
+                label` instance or dict with compatible
+                properties
+            hoveron
+                Do the hover effects highlight individual
+                points (markers or line points) or do they
+                highlight filled regions? If the fill is
+                "toself" or "tonext" and there are no markers
+                or text, then the default is "fills", otherwise
+                it is "points".
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scatterpolar.Line`
+                instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scatterpolar.Marke
+                r` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            r
+                Sets the radial coordinates
+            r0
+                Alternate to `r`. Builds a linear space of r
+                coordinates. Use with `dr` where `r0` is the
+                starting coordinate and `dr` the step.
+            rsrc
+                Sets the source reference on Chart Studio Cloud
+                for  r .
+            selected
+                :class:`plotly.graph_objects.scatterpolar.Selec
+                ted` instance or dict with compatible
+                properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scatterpolar.Strea
+                m` instance or dict with compatible properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a polar subplot. If "polar"
+                (the default value), the data refer to
+                `layout.polar`. If "polar2", the data refer to
+                `layout.polar2`, and so on.
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `r`, `theta` and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            theta
+                Sets the angular coordinates
+            theta0
+                Alternate to `theta`. Builds a linear space of
+                theta coordinates. Use with `dtheta` where
+                `theta0` is the starting coordinate and
+                `dtheta` the step.
+            thetasrc
+                Sets the source reference on Chart Studio Cloud
+                for  theta .
+            thetaunit
+                Sets the unit of input "theta" values. Has an
+                effect only when on "linear" angular axes.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scatterpolar.Unsel
+                ected` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scatterpolargl.py b/packages/python/plotly/plotly/validators/_scatterpolargl.py
new file mode 100644
index 00000000000..30e377caa8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scatterpolargl.py
@@ -0,0 +1,295 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterpolarglValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scatterpolargl", parent_name="", **kwargs):
+        super(ScatterpolarglValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatterpolargl"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            dr
+                Sets the r coordinate step.
+            dtheta
+                Sets the theta coordinate step. By default, the
+                `dtheta` step equals the subplot's period
+                divided by the length of the `r` coordinates.
+            fill
+                Sets the area to fill with a solid color.
+                Defaults to "none" unless this trace is
+                stacked, then it gets "tonexty" ("tonextx") if
+                `orientation` is "v" ("h") Use with `fillcolor`
+                if not "none". "tozerox" and "tozeroy" fill to
+                x=0 and y=0 respectively. "tonextx" and
+                "tonexty" fill between the endpoints of this
+                trace and the endpoints of the trace before it,
+                connecting those endpoints with straight lines
+                (to make a stacked area graph); if there is no
+                trace before it, they behave like "tozerox" and
+                "tozeroy". "toself" connects the endpoints of
+                the trace (or each segment of the trace if it
+                has gaps) into a closed shape. "tonext" fills
+                the space between two traces if one completely
+                encloses the other (eg consecutive contour
+                lines), and behaves like "toself" if there is
+                no trace before it. "tonext" should not be used
+                if one trace does not enclose the other. Traces
+                in a `stackgroup` will only fill to (or be
+                filled to) other traces in the same group. With
+                multiple `stackgroup`s or some traces stacked
+                and some not, if fill-linked traces are not
+                already consecutive, the later ones will be
+                pushed down in the drawing order.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scatterpolargl.Hov
+                erlabel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scatterpolargl.Lin
+                e` instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scatterpolargl.Mar
+                ker` instance or dict with compatible
+                properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            r
+                Sets the radial coordinates
+            r0
+                Alternate to `r`. Builds a linear space of r
+                coordinates. Use with `dr` where `r0` is the
+                starting coordinate and `dr` the step.
+            rsrc
+                Sets the source reference on Chart Studio Cloud
+                for  r .
+            selected
+                :class:`plotly.graph_objects.scatterpolargl.Sel
+                ected` instance or dict with compatible
+                properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scatterpolargl.Str
+                eam` instance or dict with compatible
+                properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a polar subplot. If "polar"
+                (the default value), the data refer to
+                `layout.polar`. If "polar2", the data refer to
+                `layout.polar2`, and so on.
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `r`, `theta` and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            theta
+                Sets the angular coordinates
+            theta0
+                Alternate to `theta`. Builds a linear space of
+                theta coordinates. Use with `dtheta` where
+                `theta0` is the starting coordinate and
+                `dtheta` the step.
+            thetasrc
+                Sets the source reference on Chart Studio Cloud
+                for  theta .
+            thetaunit
+                Sets the unit of input "theta" values. Has an
+                effect only when on "linear" angular axes.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scatterpolargl.Uns
+                elected` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_scatterternary.py b/packages/python/plotly/plotly/validators/_scatterternary.py
new file mode 100644
index 00000000000..4d139f11fbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_scatterternary.py
@@ -0,0 +1,303 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterternaryValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scatterternary", parent_name="", **kwargs):
+        super(ScatterternaryValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatterternary"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            a
+                Sets the quantity of component `a` in each data
+                point. If `a`, `b`, and `c` are all provided,
+                they need not be normalized, only the relative
+                values matter. If only two arrays are provided
+                they must be normalized to match
+                `ternary<i>.sum`.
+            asrc
+                Sets the source reference on Chart Studio Cloud
+                for  a .
+            b
+                Sets the quantity of component `a` in each data
+                point. If `a`, `b`, and `c` are all provided,
+                they need not be normalized, only the relative
+                values matter. If only two arrays are provided
+                they must be normalized to match
+                `ternary<i>.sum`.
+            bsrc
+                Sets the source reference on Chart Studio Cloud
+                for  b .
+            c
+                Sets the quantity of component `a` in each data
+                point. If `a`, `b`, and `c` are all provided,
+                they need not be normalized, only the relative
+                values matter. If only two arrays are provided
+                they must be normalized to match
+                `ternary<i>.sum`.
+            cliponaxis
+                Determines whether or not markers and text
+                nodes are clipped about the subplot axes. To
+                show markers and text nodes above axis lines
+                and tick labels, make sure to set `xaxis.layer`
+                and `yaxis.layer` to *below traces*.
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the provided data arrays are
+                connected.
+            csrc
+                Sets the source reference on Chart Studio Cloud
+                for  c .
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            fill
+                Sets the area to fill with a solid color. Use
+                with `fillcolor` if not "none". scatterternary
+                has a subset of the options available to
+                scatter. "toself" connects the endpoints of the
+                trace (or each segment of the trace if it has
+                gaps) into a closed shape. "tonext" fills the
+                space between two traces if one completely
+                encloses the other (eg consecutive contour
+                lines), and behaves like "toself" if there is
+                no trace before it. "tonext" should not be used
+                if one trace does not enclose the other.
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.scatterternary.Hov
+                erlabel` instance or dict with compatible
+                properties
+            hoveron
+                Do the hover effects highlight individual
+                points (markers or line points) or do they
+                highlight filled regions? If the fill is
+                "toself" or "tonext" and there are no markers
+                or text, then the default is "fills", otherwise
+                it is "points".
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (a,b,c) point. If a single string, the same
+                string appears over all the data points. If an
+                array of strings, the items are mapped in order
+                to the the data points in (a,b,c). To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.scatterternary.Lin
+                e` instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.scatterternary.Mar
+                ker` instance or dict with compatible
+                properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            mode
+                Determines the drawing mode for this scatter
+                trace. If the provided `mode` includes "text"
+                then the `text` elements appear at the
+                coordinates. Otherwise, the `text` elements
+                appear on hover. If there are less than 20
+                points and the trace is not stacked then the
+                default is "lines+markers". Otherwise, "lines".
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            selected
+                :class:`plotly.graph_objects.scatterternary.Sel
+                ected` instance or dict with compatible
+                properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.scatterternary.Str
+                eam` instance or dict with compatible
+                properties
+            subplot
+                Sets a reference between this trace's data
+                coordinates and a ternary subplot. If "ternary"
+                (the default value), the data refer to
+                `layout.ternary`. If "ternary2", the data refer
+                to `layout.ternary2`, and so on.
+            sum
+                The number each triplet should sum to, if only
+                two of `a`, `b`, and `c` are provided. This
+                overrides `ternary<i>.sum` to normalize this
+                specific trace, but does not affect the values
+                displayed on the axes. 0 (or missing) means to
+                use ternary<i>.sum
+            text
+                Sets text elements associated with each (a,b,c)
+                point. If a single string, the same string
+                appears over all the data points. If an array
+                of strings, the items are mapped in order to
+                the the data points in (a,b,c). If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the text font.
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `a`, `b`, `c` and `text`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.scatterternary.Uns
+                elected` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_splom.py b/packages/python/plotly/plotly/validators/_splom.py
new file mode 100644
index 00000000000..a41a52f3e8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_splom.py
@@ -0,0 +1,208 @@
+import _plotly_utils.basevalidators
+
+
+class SplomValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="splom", parent_name="", **kwargs):
+        super(SplomValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Splom"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            diagonal
+                :class:`plotly.graph_objects.splom.Diagonal`
+                instance or dict with compatible properties
+            dimensions
+                A tuple of
+                :class:`plotly.graph_objects.splom.Dimension`
+                instances or dicts with compatible properties
+            dimensiondefaults
+                When used in a template (as
+                layout.template.data.splom.dimensiondefaults),
+                sets the default property values to use for
+                elements of splom.dimensions
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.splom.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            marker
+                :class:`plotly.graph_objects.splom.Marker`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            selected
+                :class:`plotly.graph_objects.splom.Selected`
+                instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showlowerhalf
+                Determines whether or not subplots on the lower
+                half from the diagonal are displayed.
+            showupperhalf
+                Determines whether or not subplots on the upper
+                half from the diagonal are displayed.
+            stream
+                :class:`plotly.graph_objects.splom.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each (x,y)
+                pair to appear on hover. If a single string,
+                the same string appears over all the data
+                points. If an array of string, the items are
+                mapped in order to the this trace's (x,y)
+                coordinates.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.splom.Unselected`
+                instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            xaxes
+                Sets the list of x axes corresponding to
+                dimensions of this splom trace. By default, a
+                splom will match the first N xaxes where N is
+                the number of input dimensions. Note that, in
+                case where `diagonal.visible` is false and
+                `showupperhalf` or `showlowerhalf` is false,
+                this splom trace will generate one less x-axis
+                and one less y-axis.
+            yaxes
+                Sets the list of y axes corresponding to
+                dimensions of this splom trace. By default, a
+                splom will match the first N yaxes where N is
+                the number of input dimensions. Note that, in
+                case where `diagonal.visible` is false and
+                `showupperhalf` or `showlowerhalf` is false,
+                this splom trace will generate one less x-axis
+                and one less y-axis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_streamtube.py b/packages/python/plotly/plotly/validators/_streamtube.py
new file mode 100644
index 00000000000..6a6d367f394
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_streamtube.py
@@ -0,0 +1,274 @@
+import _plotly_utils.basevalidators
+
+
+class StreamtubeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="streamtube", parent_name="", **kwargs):
+        super(StreamtubeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Streamtube"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                u/v/w norm) or the bounds set in `cmin` and
+                `cmax`  Defaults to `false` when `cmin` and
+                `cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as u/v/w norm and if
+                set, `cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as u/v/w norm. Has no effect when `cauto` is
+                `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as u/v/w norm and if
+                set, `cmax` must be set as well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.streamtube.ColorBa
+                r` instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.streamtube.Hoverla
+                bel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `tubex`, `tubey`, `tubez`, `tubeu`,
+                `tubev`, `tubew`, `norm` and `divergence`.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lighting
+                :class:`plotly.graph_objects.streamtube.Lightin
+                g` instance or dict with compatible properties
+            lightposition
+                :class:`plotly.graph_objects.streamtube.Lightpo
+                sition` instance or dict with compatible
+                properties
+            maxdisplayed
+                The maximum number of displayed segments in a
+                streamtube.
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the surface. Please note
+                that in the case of using high `opacity` values
+                for example a value greater than or equal to
+                0.5 on two surfaces (and 0.25 with four
+                surfaces), an overlay of multiple transparent
+                surfaces may not perfectly be sorted in depth
+                by the webgl API. This behavior may be improved
+                in the near future and is subject to change.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            sizeref
+                The scaling factor for the streamtubes. The
+                default is 1, which avoids two max divergence
+                tubes from touching at adjacent starting
+                positions.
+            starts
+                :class:`plotly.graph_objects.streamtube.Starts`
+                instance or dict with compatible properties
+            stream
+                :class:`plotly.graph_objects.streamtube.Stream`
+                instance or dict with compatible properties
+            text
+                Sets a text element associated with this trace.
+                If trace `hoverinfo` contains a "text" flag,
+                this text element will be seen in all hover
+                labels. Note that streamtube traces do not
+                support array `text` values.
+            u
+                Sets the x components of the vector field.
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            usrc
+                Sets the source reference on Chart Studio Cloud
+                for  u .
+            v
+                Sets the y components of the vector field.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            vsrc
+                Sets the source reference on Chart Studio Cloud
+                for  v .
+            w
+                Sets the z components of the vector field.
+            wsrc
+                Sets the source reference on Chart Studio Cloud
+                for  w .
+            x
+                Sets the x coordinates of the vector field.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates of the vector field.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the z coordinates of the vector field.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_sunburst.py b/packages/python/plotly/plotly/validators/_sunburst.py
new file mode 100644
index 00000000000..f124b092cda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_sunburst.py
@@ -0,0 +1,259 @@
+import _plotly_utils.basevalidators
+
+
+class SunburstValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="sunburst", parent_name="", **kwargs):
+        super(SunburstValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Sunburst"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            branchvalues
+                Determines how the items in `values` are
+                summed. When set to "total", items in `values`
+                are taken to be value of all its descendants.
+                When set to "remainder", items in `values`
+                corresponding to the root and the branches
+                sectors are taken to be the extra part not part
+                of the sum of the values at their leaves.
+            count
+                Determines default for `values` when it is not
+                provided, by inferring a 1 for each of the
+                "leaves" and/or "branches", otherwise 0.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            domain
+                :class:`plotly.graph_objects.sunburst.Domain`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.sunburst.Hoverlabe
+                l` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `currentPath`, `root`, `entry`,
+                `percentRoot`, `percentEntry` and
+                `percentParent`. Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                sector. If a single string, the same string
+                appears for all data points. If an array of
+                string, the items are mapped in order of this
+                trace's sectors. To be seen, trace `hoverinfo`
+                must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            insidetextfont
+                Sets the font used for `textinfo` lying inside
+                the sector.
+            insidetextorientation
+                Controls the orientation of the text inside
+                chart sectors. When set to "auto", text may be
+                oriented in any direction in order to be as big
+                as possible in the middle of a sector. The
+                "horizontal" option orients text to be parallel
+                with the bottom of the chart, and may make text
+                smaller in order to achieve that goal. The
+                "radial" option orients text along the radius
+                of the sector. The "tangential" option orients
+                text perpendicular to the radius of the sector.
+            labels
+                Sets the labels of each of the sectors.
+            labelssrc
+                Sets the source reference on Chart Studio Cloud
+                for  labels .
+            leaf
+                :class:`plotly.graph_objects.sunburst.Leaf`
+                instance or dict with compatible properties
+            level
+                Sets the level from which this trace hierarchy
+                is rendered. Set `level` to `''` to start from
+                the root node in the hierarchy. Must be an "id"
+                if `ids` is filled in, otherwise plotly
+                attempts to find a matching item in `labels`.
+            marker
+                :class:`plotly.graph_objects.sunburst.Marker`
+                instance or dict with compatible properties
+            maxdepth
+                Sets the number of rendered sectors from any
+                given `level`. Set `maxdepth` to "-1" to render
+                all the levels in the hierarchy.
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            outsidetextfont
+                Sets the font used for `textinfo` lying outside
+                the sector. This option refers to the root of
+                the hierarchy presented at the center of a
+                sunburst graph. Please note that if a hierarchy
+                has multiple root nodes, this option won't have
+                any effect and `insidetextfont` would be used.
+            parents
+                Sets the parent sectors for each of the
+                sectors. Empty string items '' are understood
+                to reference the root node in the hierarchy. If
+                `ids` is filled, `parents` items are understood
+                to be "ids" themselves. When `ids` is not set,
+                plotly attempts to find matching items in
+                `labels`, but beware they must be unique.
+            parentssrc
+                Sets the source reference on Chart Studio Cloud
+                for  parents .
+            stream
+                :class:`plotly.graph_objects.sunburst.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each sector.
+                If trace `textinfo` contains a "text" flag,
+                these elements will be seen on the chart. If
+                trace `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the font used for `textinfo`.
+            textinfo
+                Determines which trace information appear on
+                the graph.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `currentPath`, `root`,
+                `entry`, `percentRoot`, `percentEntry`,
+                `percentParent`, `label` and `value`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            values
+                Sets the values associated with each of the
+                sectors. Use with `branchvalues` to determine
+                how the values are summed.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_surface.py b/packages/python/plotly/plotly/validators/_surface.py
new file mode 100644
index 00000000000..29f550021df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_surface.py
@@ -0,0 +1,289 @@
+import _plotly_utils.basevalidators
+
+
+class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="surface", parent_name="", **kwargs):
+        super(SurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Surface"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here z
+                or surfacecolor) or the bounds set in `cmin`
+                and `cmax`  Defaults to `false` when `cmin` and
+                `cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as z or surfacecolor
+                and if set, `cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as z or surfacecolor. Has no effect when
+                `cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as z or surfacecolor
+                and if set, `cmax` must be set as well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.surface.ColorBar`
+                instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            connectgaps
+                Determines whether or not gaps (i.e. {nan} or
+                missing values) in the `z` data are filled in.
+            contours
+                :class:`plotly.graph_objects.surface.Contours`
+                instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hidesurface
+                Determines whether or not a surface is drawn.
+                For example, set `hidesurface` to False
+                `contours.x.show` to True and `contours.y.show`
+                to True to draw a wire frame plot.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.surface.Hoverlabel
+                ` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lighting
+                :class:`plotly.graph_objects.surface.Lighting`
+                instance or dict with compatible properties
+            lightposition
+                :class:`plotly.graph_objects.surface.Lightposit
+                ion` instance or dict with compatible
+                properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the surface. Please note
+                that in the case of using high `opacity` values
+                for example a value greater than or equal to
+                0.5 on two surfaces (and 0.25 with four
+                surfaces), an overlay of multiple transparent
+                surfaces may not perfectly be sorted in depth
+                by the webgl API. This behavior may be improved
+                in the near future and is subject to change.
+            opacityscale
+                Sets the opacityscale. The opacityscale must be
+                an array containing arrays mapping a normalized
+                value to an opacity value. At minimum, a
+                mapping for the lowest (0) and highest (1)
+                values are required. For example, `[[0, 1],
+                [0.5, 0.2], [1, 1]]` means that higher/lower
+                values would have higher opacity values and
+                those in the middle would be more transparent
+                Alternatively, `opacityscale` may be a palette
+                name string of the following list: 'min',
+                'max', 'extremes' and 'uniform'. The default is
+                'uniform'.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            stream
+                :class:`plotly.graph_objects.surface.Stream`
+                instance or dict with compatible properties
+            surfacecolor
+                Sets the surface color values, used for setting
+                a color scale independent of `z`.
+            surfacecolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  surfacecolor .
+            text
+                Sets the text elements associated with each z
+                value. If trace `hoverinfo` contains a "text"
+                flag and "hovertext" is not set, these elements
+                will be seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the x coordinates.
+            xcalendar
+                Sets the calendar system to use with `x` date
+                data.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            ycalendar
+                Sets the calendar system to use with `y` date
+                data.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the z coordinates.
+            zcalendar
+                Sets the calendar system to use with `z` date
+                data.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_table.py b/packages/python/plotly/plotly/validators/_table.py
new file mode 100644
index 00000000000..24550e463e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_table.py
@@ -0,0 +1,124 @@
+import _plotly_utils.basevalidators
+
+
+class TableValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="table", parent_name="", **kwargs):
+        super(TableValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Table"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            cells
+                :class:`plotly.graph_objects.table.Cells`
+                instance or dict with compatible properties
+            columnorder
+                Specifies the rendered order of the data
+                columns; for example, a value `2` at position
+                `0` means that column index `0` in the data
+                will be rendered as the third column, as
+                columns have an index base of zero.
+            columnordersrc
+                Sets the source reference on Chart Studio Cloud
+                for  columnorder .
+            columnwidth
+                The width of columns expressed as a ratio.
+                Columns fill the available width in proportion
+                of their specified column widths.
+            columnwidthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  columnwidth .
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            domain
+                :class:`plotly.graph_objects.table.Domain`
+                instance or dict with compatible properties
+            header
+                :class:`plotly.graph_objects.table.Header`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.table.Hoverlabel`
+                instance or dict with compatible properties
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            stream
+                :class:`plotly.graph_objects.table.Stream`
+                instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_treemap.py b/packages/python/plotly/plotly/validators/_treemap.py
new file mode 100644
index 00000000000..fb23391d8b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_treemap.py
@@ -0,0 +1,253 @@
+import _plotly_utils.basevalidators
+
+
+class TreemapValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="treemap", parent_name="", **kwargs):
+        super(TreemapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Treemap"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            branchvalues
+                Determines how the items in `values` are
+                summed. When set to "total", items in `values`
+                are taken to be value of all its descendants.
+                When set to "remainder", items in `values`
+                corresponding to the root and the branches
+                sectors are taken to be the extra part not part
+                of the sum of the values at their leaves.
+            count
+                Determines default for `values` when it is not
+                provided, by inferring a 1 for each of the
+                "leaves" and/or "branches", otherwise 0.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            domain
+                :class:`plotly.graph_objects.treemap.Domain`
+                instance or dict with compatible properties
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.treemap.Hoverlabel
+                ` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `currentPath`, `root`, `entry`,
+                `percentRoot`, `percentEntry` and
+                `percentParent`. Anything contained in tag
+                `<extra>` is displayed in the secondary box,
+                for example "<extra>{fullData.name}</extra>".
+                To hide the secondary box completely, use an
+                empty tag `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                sector. If a single string, the same string
+                appears for all data points. If an array of
+                string, the items are mapped in order of this
+                trace's sectors. To be seen, trace `hoverinfo`
+                must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            insidetextfont
+                Sets the font used for `textinfo` lying inside
+                the sector.
+            labels
+                Sets the labels of each of the sectors.
+            labelssrc
+                Sets the source reference on Chart Studio Cloud
+                for  labels .
+            level
+                Sets the level from which this trace hierarchy
+                is rendered. Set `level` to `''` to start from
+                the root node in the hierarchy. Must be an "id"
+                if `ids` is filled in, otherwise plotly
+                attempts to find a matching item in `labels`.
+            marker
+                :class:`plotly.graph_objects.treemap.Marker`
+                instance or dict with compatible properties
+            maxdepth
+                Sets the number of rendered sectors from any
+                given `level`. Set `maxdepth` to "-1" to render
+                all the levels in the hierarchy.
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the trace.
+            outsidetextfont
+                Sets the font used for `textinfo` lying outside
+                the sector. This option refers to the root of
+                the hierarchy presented on top left corner of a
+                treemap graph. Please note that if a hierarchy
+                has multiple root nodes, this option won't have
+                any effect and `insidetextfont` would be used.
+            parents
+                Sets the parent sectors for each of the
+                sectors. Empty string items '' are understood
+                to reference the root node in the hierarchy. If
+                `ids` is filled, `parents` items are understood
+                to be "ids" themselves. When `ids` is not set,
+                plotly attempts to find matching items in
+                `labels`, but beware they must be unique.
+            parentssrc
+                Sets the source reference on Chart Studio Cloud
+                for  parents .
+            pathbar
+                :class:`plotly.graph_objects.treemap.Pathbar`
+                instance or dict with compatible properties
+            stream
+                :class:`plotly.graph_objects.treemap.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each sector.
+                If trace `textinfo` contains a "text" flag,
+                these elements will be seen on the chart. If
+                trace `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textfont
+                Sets the font used for `textinfo`.
+            textinfo
+                Determines which trace information appear on
+                the graph.
+            textposition
+                Sets the positions of the `text` elements.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `currentPath`, `root`,
+                `entry`, `percentRoot`, `percentEntry`,
+                `percentParent`, `label` and `value`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            tiling
+                :class:`plotly.graph_objects.treemap.Tiling`
+                instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            values
+                Sets the values associated with each of the
+                sectors. Use with `branchvalues` to determine
+                how the values are summed.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_violin.py b/packages/python/plotly/plotly/validators/_violin.py
new file mode 100644
index 00000000000..decd75e07d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_violin.py
@@ -0,0 +1,318 @@
+import _plotly_utils.basevalidators
+
+
+class ViolinValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="violin", parent_name="", **kwargs):
+        super(ViolinValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Violin"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alignmentgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same
+                alignmentgroup. This controls whether bars
+                compute their positional range dependently or
+                independently.
+            bandwidth
+                Sets the bandwidth used to compute the kernel
+                density estimate. By default, the bandwidth is
+                determined by Silverman's rule of thumb.
+            box
+                :class:`plotly.graph_objects.violin.Box`
+                instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.violin.Hoverlabel`
+                instance or dict with compatible properties
+            hoveron
+                Do the hover effects highlight individual
+                violins or sample points or the kernel density
+                estimate or any combination of them?
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            jitter
+                Sets the amount of jitter in the sample points
+                drawn. If 0, the sample points align along the
+                distribution axis. If 1, the sample points are
+                drawn in a random jitter of width equal to the
+                width of the violins.
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            line
+                :class:`plotly.graph_objects.violin.Line`
+                instance or dict with compatible properties
+            marker
+                :class:`plotly.graph_objects.violin.Marker`
+                instance or dict with compatible properties
+            meanline
+                :class:`plotly.graph_objects.violin.Meanline`
+                instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover. For violin
+                traces, the name will also be used for the
+                position coordinate, if `x` and `x0` (`y` and
+                `y0` if horizontal) are missing and the
+                position axis is categorical. Note that the
+                trace name is also used as a default value for
+                attribute `scalegroup` (please see its
+                description for details).
+            offsetgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same offsetgroup
+                where bars of the same position coordinate will
+                line up.
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Sets the orientation of the violin(s). If "v"
+                ("h"), the distribution is visualized along the
+                vertical (horizontal).
+            pointpos
+                Sets the position of the sample points in
+                relation to the violins. If 0, the sample
+                points are places over the center of the
+                violins. Positive (negative) values correspond
+                to positions to the right (left) for vertical
+                violins and above (below) for horizontal
+                violins.
+            points
+                If "outliers", only the sample points lying
+                outside the whiskers are shown If
+                "suspectedoutliers", the outlier points are
+                shown and points either less than 4*Q1-3*Q3 or
+                greater than 4*Q3-3*Q1 are highlighted (see
+                `outliercolor`) If "all", all sample points are
+                shown If False, only the violins are shown with
+                no sample points. Defaults to
+                "suspectedoutliers" when `marker.outliercolor`
+                or `marker.line.outliercolor` is set, otherwise
+                defaults to "outliers".
+            scalegroup
+                If there are multiple violins that should be
+                sized according to to some metric (see
+                `scalemode`), link them by providing a non-
+                empty group id here shared by every trace in
+                the same group. If a violin's `width` is
+                undefined, `scalegroup` will default to the
+                trace's name. In this case, violins with the
+                same names will be linked together
+            scalemode
+                Sets the metric by which the width of each
+                violin is determined."width" means each violin
+                has the same (max) width*count* means the
+                violins are scaled by the number of sample
+                points makingup each violin.
+            selected
+                :class:`plotly.graph_objects.violin.Selected`
+                instance or dict with compatible properties
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            side
+                Determines on which side of the position value
+                the density function making up one half of a
+                violin is plotted. Useful when comparing two
+                violin traces under "overlay" mode, where one
+                trace has `side` set to "positive" and the
+                other to "negative".
+            span
+                Sets the span in data space for which the
+                density function will be computed. Has an
+                effect only when `spanmode` is set to "manual".
+            spanmode
+                Sets the method by which the span in data space
+                where the density function will be computed.
+                "soft" means the span goes from the sample's
+                minimum value minus two bandwidths to the
+                sample's maximum value plus two bandwidths.
+                "hard" means the span goes from the sample's
+                minimum to its maximum value. For custom span
+                settings, use mode "manual" and fill in the
+                `span` attribute.
+            stream
+                :class:`plotly.graph_objects.violin.Stream`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with each
+                sample value. If a single string, the same
+                string appears over all the data points. If an
+                array of string, the items are mapped in order
+                to the this trace's (x,y) coordinates. To be
+                seen, trace `hoverinfo` must contain a "text"
+                flag.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            unselected
+                :class:`plotly.graph_objects.violin.Unselected`
+                instance or dict with compatible properties
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            width
+                Sets the width of the violin in data
+                coordinates. If 0 (default value) the width is
+                automatically selected based on the positions
+                of other violin traces in the same subplot.
+            x
+                Sets the x sample data or coordinates. See
+                overview for more info.
+            x0
+                Sets the x coordinate for single-box traces or
+                the starting coordinate for multi-box traces
+                set using q1/median/q3. See overview for more
+                info.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y sample data or coordinates. See
+                overview for more info.
+            y0
+                Sets the y coordinate for single-box traces or
+                the starting coordinate for multi-box traces
+                set using q1/median/q3. See overview for more
+                info.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_volume.py b/packages/python/plotly/plotly/validators/_volume.py
new file mode 100644
index 00000000000..c60583fa82c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_volume.py
@@ -0,0 +1,293 @@
+import _plotly_utils.basevalidators
+
+
+class VolumeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="volume", parent_name="", **kwargs):
+        super(VolumeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Volume"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            caps
+                :class:`plotly.graph_objects.volume.Caps`
+                instance or dict with compatible properties
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                `value`) or the bounds set in `cmin` and `cmax`
+                Defaults to `false` when `cmin` and `cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as `value` and if
+                set, `cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as `value`. Has no effect when `cauto` is
+                `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as `value` and if
+                set, `cmax` must be set as well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.volume.ColorBar`
+                instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            contour
+                :class:`plotly.graph_objects.volume.Contour`
+                instance or dict with compatible properties
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            flatshading
+                Determines whether or not normal smoothing is
+                applied to the meshes, creating meshes with an
+                angular, low-poly look via flat reflections.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.volume.Hoverlabel`
+                instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Same as `text`.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            isomax
+                Sets the maximum boundary for iso-surface plot.
+            isomin
+                Sets the minimum boundary for iso-surface plot.
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            lighting
+                :class:`plotly.graph_objects.volume.Lighting`
+                instance or dict with compatible properties
+            lightposition
+                :class:`plotly.graph_objects.volume.Lightpositi
+                on` instance or dict with compatible properties
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            opacity
+                Sets the opacity of the surface. Please note
+                that in the case of using high `opacity` values
+                for example a value greater than or equal to
+                0.5 on two surfaces (and 0.25 with four
+                surfaces), an overlay of multiple transparent
+                surfaces may not perfectly be sorted in depth
+                by the webgl API. This behavior may be improved
+                in the near future and is subject to change.
+            opacityscale
+                Sets the opacityscale. The opacityscale must be
+                an array containing arrays mapping a normalized
+                value to an opacity value. At minimum, a
+                mapping for the lowest (0) and highest (1)
+                values are required. For example, `[[0, 1],
+                [0.5, 0.2], [1, 1]]` means that higher/lower
+                values would have higher opacity values and
+                those in the middle would be more transparent
+                Alternatively, `opacityscale` may be a palette
+                name string of the following list: 'min',
+                'max', 'extremes' and 'uniform'. The default is
+                'uniform'.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            scene
+                Sets a reference between this trace's 3D
+                coordinate system and a 3D scene. If "scene"
+                (the default value), the (x,y,z) coordinates
+                refer to `layout.scene`. If "scene2", the
+                (x,y,z) coordinates refer to `layout.scene2`,
+                and so on.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+            slices
+                :class:`plotly.graph_objects.volume.Slices`
+                instance or dict with compatible properties
+            spaceframe
+                :class:`plotly.graph_objects.volume.Spaceframe`
+                instance or dict with compatible properties
+            stream
+                :class:`plotly.graph_objects.volume.Stream`
+                instance or dict with compatible properties
+            surface
+                :class:`plotly.graph_objects.volume.Surface`
+                instance or dict with compatible properties
+            text
+                Sets the text elements associated with the
+                vertices. If trace `hoverinfo` contains a
+                "text" flag and "hovertext" is not set, these
+                elements will be seen in the hover labels.
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            value
+                Sets the 4th dimension (value) of the vertices.
+            valuesrc
+                Sets the source reference on Chart Studio Cloud
+                for  value .
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            x
+                Sets the X coordinates of the vertices on X
+                axis.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the Y coordinates of the vertices on Y
+                axis.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the Z coordinates of the vertices on Z
+                axis.
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/_waterfall.py b/packages/python/plotly/plotly/validators/_waterfall.py
new file mode 100644
index 00000000000..ad510f14575
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/_waterfall.py
@@ -0,0 +1,330 @@
+import _plotly_utils.basevalidators
+
+
+class WaterfallValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="waterfall", parent_name="", **kwargs):
+        super(WaterfallValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Waterfall"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            alignmentgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same
+                alignmentgroup. This controls whether bars
+                compute their positional range dependently or
+                independently.
+            base
+                Sets where the bar base is drawn (in position
+                axis units).
+            cliponaxis
+                Determines whether the text nodes are clipped
+                about the subplot axes. To show the text nodes
+                above axis lines and tick labels, make sure to
+                set `xaxis.layer` and `yaxis.layer` to *below
+                traces*.
+            connector
+                :class:`plotly.graph_objects.waterfall.Connecto
+                r` instance or dict with compatible properties
+            constraintext
+                Constrain the size of text inside or outside a
+                bar to be no larger than the bar itself.
+            customdata
+                Assigns extra data each datum. This may be
+                useful when listening to hover, click and
+                selection events. Note that, "scatter" traces
+                also appends customdata items in the markers
+                DOM elements
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            decreasing
+                :class:`plotly.graph_objects.waterfall.Decreasi
+                ng` instance or dict with compatible properties
+            dx
+                Sets the x coordinate step. See `x0` for more
+                info.
+            dy
+                Sets the y coordinate step. See `y0` for more
+                info.
+            hoverinfo
+                Determines which trace information appear on
+                hover. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverinfosrc
+                Sets the source reference on Chart Studio Cloud
+                for  hoverinfo .
+            hoverlabel
+                :class:`plotly.graph_objects.waterfall.Hoverlab
+                el` instance or dict with compatible properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `initial`, `delta` and `final`.
+                Anything contained in tag `<extra>` is
+                displayed in the secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            hovertext
+                Sets hover text elements associated with each
+                (x,y) pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. To be seen,
+                trace `hoverinfo` must contain a "text" flag.
+            hovertextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertext .
+            ids
+                Assigns id labels to each datum. These ids for
+                object constancy of data points during
+                animation. Should be an array of strings, not
+                numbers or any other type.
+            idssrc
+                Sets the source reference on Chart Studio Cloud
+                for  ids .
+            increasing
+                :class:`plotly.graph_objects.waterfall.Increasi
+                ng` instance or dict with compatible properties
+            insidetextanchor
+                Determines if texts are kept at center or
+                start/end points in `textposition` "inside"
+                mode.
+            insidetextfont
+                Sets the font used for `text` lying inside the
+                bar.
+            legendgroup
+                Sets the legend group for this trace. Traces
+                part of the same legend group hide/show at the
+                same time when toggling legend items.
+            measure
+                An array containing types of values. By default
+                the values are considered as 'relative'.
+                However; it is possible to use 'total' to
+                compute the sums. Also 'absolute' could be
+                applied to reset the computed total or to
+                declare an initial value where needed.
+            measuresrc
+                Sets the source reference on Chart Studio Cloud
+                for  measure .
+            meta
+                Assigns extra meta information associated with
+                this trace that can be used in various text
+                attributes. Attributes such as trace `name`,
+                graph, axis and colorbar `title.text`,
+                annotation `text` `rangeselector`,
+                `updatemenues` and `sliders` `label` text all
+                support `meta`. To access the trace `meta`
+                values in an attribute in the same trace,
+                simply use `%{meta[i]}` where `i` is the index
+                or key of the `meta` item in question. To
+                access trace `meta` in layout attributes, use
+                `%{data[n[.meta[i]}` where `i` is the index or
+                key of the `meta` and `n` is the trace index.
+            metasrc
+                Sets the source reference on Chart Studio Cloud
+                for  meta .
+            name
+                Sets the trace name. The trace name appear as
+                the legend item and on hover.
+            offset
+                Shifts the position where the bar is drawn (in
+                position axis units). In "group" barmode,
+                traces that set "offset" will be excluded and
+                drawn in "overlay" mode instead.
+            offsetgroup
+                Set several traces linked to the same position
+                axis or matching axes to the same offsetgroup
+                where bars of the same position coordinate will
+                line up.
+            offsetsrc
+                Sets the source reference on Chart Studio Cloud
+                for  offset .
+            opacity
+                Sets the opacity of the trace.
+            orientation
+                Sets the orientation of the bars. With "v"
+                ("h"), the value of the each bar spans along
+                the vertical (horizontal).
+            outsidetextfont
+                Sets the font used for `text` lying outside the
+                bar.
+            selectedpoints
+                Array containing integer indices of selected
+                points. Has an effect only for traces that
+                support selections. Note that an empty array
+                means an empty selection where the `unselected`
+                are turned on for all points, whereas, any
+                other non-array values means no selection all
+                where the `selected` and `unselected` styles
+                have no effect.
+            showlegend
+                Determines whether or not an item corresponding
+                to this trace is shown in the legend.
+            stream
+                :class:`plotly.graph_objects.waterfall.Stream`
+                instance or dict with compatible properties
+            text
+                Sets text elements associated with each (x,y)
+                pair. If a single string, the same string
+                appears over all the data points. If an array
+                of string, the items are mapped in order to the
+                this trace's (x,y) coordinates. If trace
+                `hoverinfo` contains a "text" flag and
+                "hovertext" is not set, these elements will be
+                seen in the hover labels.
+            textangle
+                Sets the angle of the tick labels with respect
+                to the bar. For example, a `tickangle` of -90
+                draws the tick labels vertically. With "auto"
+                the texts may automatically be rotated to fit
+                with the maximum size in bars.
+            textfont
+                Sets the font used for `text`.
+            textinfo
+                Determines which trace information appear on
+                the graph. In the case of having multiple
+                waterfalls, totals are computed separately (per
+                trace).
+            textposition
+                Specifies the location of the `text`. "inside"
+                positions `text` inside, next to the bar end
+                (rotated and scaled if needed). "outside"
+                positions `text` outside, next to the bar end
+                (scaled if needed), unless there is another bar
+                stacked on this one, then the text gets pushed
+                inside. "auto" tries to position `text` inside
+                the bar, but if the bar is too small and no bar
+                is stacked on this one the text is moved
+                outside.
+            textpositionsrc
+                Sets the source reference on Chart Studio Cloud
+                for  textposition .
+            textsrc
+                Sets the source reference on Chart Studio Cloud
+                for  text .
+            texttemplate
+                Template string used for rendering the
+                information text that appear on points. Note
+                that this will override `textinfo`. Variables
+                are inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax.
+                Every attributes that can be specified per-
+                point (the ones that are `arrayOk: true`) are
+                available. variables `initial`, `delta`,
+                `final` and `label`.
+            texttemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  texttemplate .
+            totals
+                :class:`plotly.graph_objects.waterfall.Totals`
+                instance or dict with compatible properties
+            uid
+                Assign an id to this trace, Use this to provide
+                object constancy between traces during
+                animations and transitions.
+            uirevision
+                Controls persistence of some user-driven
+                changes to the trace: `constraintrange` in
+                `parcoords` traces, as well as some `editable:
+                true` modifications such as `name` and
+                `colorbar.title`. Defaults to
+                `layout.uirevision`. Note that other user-
+                driven trace attribute changes are controlled
+                by `layout` attributes: `trace.visible` is
+                controlled by `layout.legend.uirevision`,
+                `selectedpoints` is controlled by
+                `layout.selectionrevision`, and
+                `colorbar.(x|y)` (accessible with `config:
+                {editable: true}`) is controlled by
+                `layout.editrevision`. Trace changes are
+                tracked by `uid`, which only falls back on
+                trace index if no `uid` is provided. So if your
+                app can add/remove traces before the end of the
+                `data` array, such that the same trace has a
+                different index, you can still preserve user-
+                driven changes if you give each trace a `uid`
+                that stays with it as it moves.
+            visible
+                Determines whether or not this trace is
+                visible. If "legendonly", the trace is not
+                drawn, but can appear as a legend item
+                (provided that the legend itself is visible).
+            width
+                Sets the bar width (in position axis units).
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+            x
+                Sets the x coordinates.
+            x0
+                Alternate to `x`. Builds a linear space of x
+                coordinates. Use with `dx` where `x0` is the
+                starting coordinate and `dx` the step.
+            xaxis
+                Sets a reference between this trace's x
+                coordinates and a 2D cartesian x axis. If "x"
+                (the default value), the x coordinates refer to
+                `layout.xaxis`. If "x2", the x coordinates
+                refer to `layout.xaxis2`, and so on.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y coordinates.
+            y0
+                Alternate to `y`. Builds a linear space of y
+                coordinates. Use with `dy` where `y0` is the
+                starting coordinate and `dy` the step.
+            yaxis
+                Sets a reference between this trace's y
+                coordinates and a 2D cartesian y axis. If "y"
+                (the default value), the y coordinates refer to
+                `layout.yaxis`. If "y2", the y coordinates
+                refer to `layout.yaxis2`, and so on.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/__init__.py b/packages/python/plotly/plotly/validators/area/__init__.py
index 48e62120579..8e48d99f2b5 100644
--- a/packages/python/plotly/plotly/validators/area/__init__.py
+++ b/packages/python/plotly/plotly/validators/area/__init__.py
@@ -1,405 +1,56 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="area", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="area", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="area", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tsrc", parent_name="area", **kwargs):
-        super(TsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="t", parent_name="area", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="area", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="area", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="rsrc", parent_name="area", **kwargs):
-        super(RsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="r", parent_name="area", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="area", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="area", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="area", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="area", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="area", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Area traces are deprecated! Please switch to
-                the "barpolar" trace type. Sets themarkercolor.
-                It accepts either a specific color or an array
-                of numbers that are mapped to the colorscale
-                relative to the max and min values of the array
-                or relative to `marker.cmin` and `marker.cmax`
-                if set.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            opacity
-                Area traces are deprecated! Please switch to
-                the "barpolar" trace type. Sets the marker
-                opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            size
-                Area traces are deprecated! Please switch to
-                the "barpolar" trace type. Sets the marker size
-                (in px).
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Area traces are deprecated! Please switch to
-                the "barpolar" trace type. Sets the marker
-                symbol type. Adding 100 is equivalent to
-                appending "-open" to a symbol name. Adding 200
-                is equivalent to appending "-dot" to a symbol
-                name. Adding 300 is equivalent to appending
-                "-open-dot" or "dot-open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="area", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="area", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="area", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="area", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="area", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="area", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="area", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="area", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tsrc import TsrcValidator
+    from ._t import TValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._rsrc import RsrcValidator
+    from ._r import RValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tsrc.TsrcValidator",
+            "._t.TValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._rsrc.RsrcValidator",
+            "._r.RValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/area/_customdata.py b/packages/python/plotly/plotly/validators/area/_customdata.py
new file mode 100644
index 00000000000..c7cdf8f67b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="area", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_customdatasrc.py b/packages/python/plotly/plotly/validators/area/_customdatasrc.py
new file mode 100644
index 00000000000..6f2358e3f55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="area", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_hoverinfo.py b/packages/python/plotly/plotly/validators/area/_hoverinfo.py
new file mode 100644
index 00000000000..da958d9a47a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="area", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/area/_hoverinfosrc.py
new file mode 100644
index 00000000000..6096e594120
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="area", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_hoverlabel.py b/packages/python/plotly/plotly/validators/area/_hoverlabel.py
new file mode 100644
index 00000000000..4deac2c2cec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="area", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_ids.py b/packages/python/plotly/plotly/validators/area/_ids.py
new file mode 100644
index 00000000000..ba649797939
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="area", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_idssrc.py b/packages/python/plotly/plotly/validators/area/_idssrc.py
new file mode 100644
index 00000000000..57815552a4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="area", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_legendgroup.py b/packages/python/plotly/plotly/validators/area/_legendgroup.py
new file mode 100644
index 00000000000..c0100f73e27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="area", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_marker.py b/packages/python/plotly/plotly/validators/area/_marker.py
new file mode 100644
index 00000000000..d7980e8fd8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_marker.py
@@ -0,0 +1,52 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="area", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Area traces are deprecated! Please switch to
+                the "barpolar" trace type. Sets themarkercolor.
+                It accepts either a specific color or an array
+                of numbers that are mapped to the colorscale
+                relative to the max and min values of the array
+                or relative to `marker.cmin` and `marker.cmax`
+                if set.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            opacity
+                Area traces are deprecated! Please switch to
+                the "barpolar" trace type. Sets the marker
+                opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            size
+                Area traces are deprecated! Please switch to
+                the "barpolar" trace type. Sets the marker size
+                (in px).
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Area traces are deprecated! Please switch to
+                the "barpolar" trace type. Sets the marker
+                symbol type. Adding 100 is equivalent to
+                appending "-open" to a symbol name. Adding 200
+                is equivalent to appending "-dot" to a symbol
+                name. Adding 300 is equivalent to appending
+                "-open-dot" or "dot-open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_meta.py b/packages/python/plotly/plotly/validators/area/_meta.py
new file mode 100644
index 00000000000..2079d6b7042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="area", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_metasrc.py b/packages/python/plotly/plotly/validators/area/_metasrc.py
new file mode 100644
index 00000000000..867aacba9bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="area", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_name.py b/packages/python/plotly/plotly/validators/area/_name.py
new file mode 100644
index 00000000000..01af0f08da5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="area", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_opacity.py b/packages/python/plotly/plotly/validators/area/_opacity.py
new file mode 100644
index 00000000000..7ad96a2b6d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="area", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_r.py b/packages/python/plotly/plotly/validators/area/_r.py
new file mode 100644
index 00000000000..67f0e5ac4dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="r", parent_name="area", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_rsrc.py b/packages/python/plotly/plotly/validators/area/_rsrc.py
new file mode 100644
index 00000000000..09bdd57b8de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_rsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="rsrc", parent_name="area", **kwargs):
+        super(RsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_showlegend.py b/packages/python/plotly/plotly/validators/area/_showlegend.py
new file mode 100644
index 00000000000..1a4cdfac3f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="area", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_stream.py b/packages/python/plotly/plotly/validators/area/_stream.py
new file mode 100644
index 00000000000..6fd5712fb42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="area", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_t.py b/packages/python/plotly/plotly/validators/area/_t.py
new file mode 100644
index 00000000000..6fca3637416
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_t.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="t", parent_name="area", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_tsrc.py b/packages/python/plotly/plotly/validators/area/_tsrc.py
new file mode 100644
index 00000000000..5e6e929d52d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_tsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tsrc", parent_name="area", **kwargs):
+        super(TsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_uid.py b/packages/python/plotly/plotly/validators/area/_uid.py
new file mode 100644
index 00000000000..867610ed6e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="area", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_uirevision.py b/packages/python/plotly/plotly/validators/area/_uirevision.py
new file mode 100644
index 00000000000..7b29f0f49c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="area", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/_visible.py b/packages/python/plotly/plotly/validators/area/_visible.py
new file mode 100644
index 00000000000..cfeaf721152
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="area", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/area/hoverlabel/__init__.py
index 887adbcb1d6..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/area/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/__init__.py
@@ -1,174 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="area.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="area.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="area.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="area.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="area.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="area.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="area.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="area.hoverlabel", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="area.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_align.py
new file mode 100644
index 00000000000..630c6e63afb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="area.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..dd318be04b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="area.hoverlabel", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..f6097eba4f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="area.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..5ad2c133ec0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="area.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..4a72989d61a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="area.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..475444c8d7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="area.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_font.py
new file mode 100644
index 00000000000..6b58ea61b6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="area.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..3465ed6af22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="area.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..1f6931e2d9c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="area.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/__init__.py
index eaefcfd59b8..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/area/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="area.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="area.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="area.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="area.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="area.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="area.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..a01987beebd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="area.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..e821aa72d7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="area.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..2ce83b4ae53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="area.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..3913e73b5b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="area.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..79faf6a1c72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="area.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..f348e6a9084
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="area.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/__init__.py b/packages/python/plotly/plotly/validators/area/marker/__init__.py
index 46656a51467..b697000bb18 100644
--- a/packages/python/plotly/plotly/validators/area/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/area/marker/__init__.py
@@ -1,406 +1,28 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="symbolsrc", parent_name="area.marker", **kwargs):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="area.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="area.marker", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="area.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="opacitysrc", parent_name="area.marker", **kwargs):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="area.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="area.marker", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="area.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_color.py b/packages/python/plotly/plotly/validators/area/marker/_color.py
new file mode 100644
index 00000000000..098d66055ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="area.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/area/marker/_colorsrc.py
new file mode 100644
index 00000000000..e4cfa8f22bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="area.marker", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_opacity.py b/packages/python/plotly/plotly/validators/area/marker/_opacity.py
new file mode 100644
index 00000000000..934b143b29c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="area.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/area/marker/_opacitysrc.py
new file mode 100644
index 00000000000..f59451e679b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_opacitysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="opacitysrc", parent_name="area.marker", **kwargs):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_size.py b/packages/python/plotly/plotly/validators/area/marker/_size.py
new file mode 100644
index 00000000000..b2ad7131448
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="area.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/area/marker/_sizesrc.py
new file mode 100644
index 00000000000..a05baddf486
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="area.marker", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_symbol.py b/packages/python/plotly/plotly/validators/area/marker/_symbol.py
new file mode 100644
index 00000000000..2455d34cff4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="area.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/area/marker/_symbolsrc.py
new file mode 100644
index 00000000000..5fa367a0040
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/marker/_symbolsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="symbolsrc", parent_name="area.marker", **kwargs):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/stream/__init__.py b/packages/python/plotly/plotly/validators/area/stream/__init__.py
index e8e72656f7b..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/area/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/area/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="area.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="area.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/area/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/area/stream/_maxpoints.py
new file mode 100644
index 00000000000..c59f537b1a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="area.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/area/stream/_token.py b/packages/python/plotly/plotly/validators/area/stream/_token.py
new file mode 100644
index 00000000000..460be2bb62a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/area/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="area.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/__init__.py b/packages/python/plotly/plotly/validators/bar/__init__.py
index dcfcb378534..10bad2066f2 100644
--- a/packages/python/plotly/plotly/validators/bar/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/__init__.py
@@ -1,1375 +1,142 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="bar", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="bar", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="bar", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="bar", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="bar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="bar", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="bar", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="bar", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="bar", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="bar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="widthsrc", parent_name="bar", **kwargs):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="bar", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="bar", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="bar", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.bar.unselected.Mar
-                ker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.bar.unselected.Tex
-                tfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="bar", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="bar", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tsrc", parent_name="bar", **kwargs):
-        super(TsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="texttemplatesrc", parent_name="bar", **kwargs):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="bar", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="bar", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textpositionsrc", parent_name="bar", **kwargs):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="bar", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="bar", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="textangle", parent_name="bar", **kwargs):
-        super(TextangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="bar", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="t", parent_name="bar", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="bar", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="bar", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="bar", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="bar", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.bar.selected.Marke
-                r` instance or dict with compatible properties
-            textfont
-                :class:`plotly.graph_objects.bar.selected.Textf
-                ont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="rsrc", parent_name="bar", **kwargs):
-        super(RsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="r", parent_name="bar", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="outsidetextfont", parent_name="bar", **kwargs):
-        super(OutsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="bar", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="bar", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="offsetsrc", parent_name="bar", **kwargs):
-        super(OffsetsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="offsetgroup", parent_name="bar", **kwargs):
-        super(OffsetgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="offset", parent_name="bar", **kwargs):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="bar", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="bar", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="bar", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="bar", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.bar.marker.ColorBa
-                r` instance or dict with compatible properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.bar.marker.Line`
-                instance or dict with compatible properties
-            opacity
-                Sets the opacity of the bars.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="bar", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="insidetextfont", parent_name="bar", **kwargs):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="insidetextanchor", parent_name="bar", **kwargs):
-        super(InsidetextanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["end", "middle", "start"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="bar", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="bar", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="bar", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="bar", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="bar", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="bar", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="bar", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="bar", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="bar", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorYValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_y", parent_name="bar", **kwargs):
-        super(ErrorYValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorXValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_x", parent_name="bar", **kwargs):
-        super(ErrorXValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            copy_ystyle
-
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="bar", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="bar", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="bar", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="bar", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="constraintext", parent_name="bar", **kwargs):
-        super(ConstraintextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cliponaxis", parent_name="bar", **kwargs):
-        super(CliponaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="basesrc", parent_name="bar", **kwargs):
-        super(BasesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaseValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="base", parent_name="bar", **kwargs):
-        super(BaseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="alignmentgroup", parent_name="bar", **kwargs):
-        super(AlignmentgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tsrc import TsrcValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._textangle import TextangleValidator
+    from ._text import TextValidator
+    from ._t import TValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._rsrc import RsrcValidator
+    from ._r import RValidator
+    from ._outsidetextfont import OutsidetextfontValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._offsetsrc import OffsetsrcValidator
+    from ._offsetgroup import OffsetgroupValidator
+    from ._offset import OffsetValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._insidetextanchor import InsidetextanchorValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._error_y import Error_YValidator
+    from ._error_x import Error_XValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._constraintext import ConstraintextValidator
+    from ._cliponaxis import CliponaxisValidator
+    from ._basesrc import BasesrcValidator
+    from ._base import BaseValidator
+    from ._alignmentgroup import AlignmentgroupValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tsrc.TsrcValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._textangle.TextangleValidator",
+            "._text.TextValidator",
+            "._t.TValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._rsrc.RsrcValidator",
+            "._r.RValidator",
+            "._outsidetextfont.OutsidetextfontValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._offsetsrc.OffsetsrcValidator",
+            "._offsetgroup.OffsetgroupValidator",
+            "._offset.OffsetValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._insidetextanchor.InsidetextanchorValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._error_y.Error_YValidator",
+            "._error_x.Error_XValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._constraintext.ConstraintextValidator",
+            "._cliponaxis.CliponaxisValidator",
+            "._basesrc.BasesrcValidator",
+            "._base.BaseValidator",
+            "._alignmentgroup.AlignmentgroupValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/_alignmentgroup.py b/packages/python/plotly/plotly/validators/bar/_alignmentgroup.py
new file mode 100644
index 00000000000..41dcfddcb26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_alignmentgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="alignmentgroup", parent_name="bar", **kwargs):
+        super(AlignmentgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_base.py b/packages/python/plotly/plotly/validators/bar/_base.py
new file mode 100644
index 00000000000..550b80e11d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_base.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BaseValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="base", parent_name="bar", **kwargs):
+        super(BaseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_basesrc.py b/packages/python/plotly/plotly/validators/bar/_basesrc.py
new file mode 100644
index 00000000000..abdcbab535a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_basesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="basesrc", parent_name="bar", **kwargs):
+        super(BasesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_cliponaxis.py b/packages/python/plotly/plotly/validators/bar/_cliponaxis.py
new file mode 100644
index 00000000000..7f123bbe5ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_cliponaxis.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cliponaxis", parent_name="bar", **kwargs):
+        super(CliponaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_constraintext.py b/packages/python/plotly/plotly/validators/bar/_constraintext.py
new file mode 100644
index 00000000000..a9935fcdc01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_constraintext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="constraintext", parent_name="bar", **kwargs):
+        super(ConstraintextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_customdata.py b/packages/python/plotly/plotly/validators/bar/_customdata.py
new file mode 100644
index 00000000000..3def74637f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="bar", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_customdatasrc.py b/packages/python/plotly/plotly/validators/bar/_customdatasrc.py
new file mode 100644
index 00000000000..0642dcb3fd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="bar", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_dx.py b/packages/python/plotly/plotly/validators/bar/_dx.py
new file mode 100644
index 00000000000..36998937123
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_dx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="bar", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_dy.py b/packages/python/plotly/plotly/validators/bar/_dy.py
new file mode 100644
index 00000000000..c2908ef619c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_dy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="bar", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_error_x.py b/packages/python/plotly/plotly/validators/bar/_error_x.py
new file mode 100644
index 00000000000..73cc2dbef90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_error_x.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_x", parent_name="bar", **kwargs):
+        super(Error_XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            copy_ystyle
+
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_error_y.py b/packages/python/plotly/plotly/validators/bar/_error_y.py
new file mode 100644
index 00000000000..83756280228
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_error_y.py
@@ -0,0 +1,71 @@
+import _plotly_utils.basevalidators
+
+
+class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_y", parent_name="bar", **kwargs):
+        super(Error_YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hoverinfo.py b/packages/python/plotly/plotly/validators/bar/_hoverinfo.py
new file mode 100644
index 00000000000..5cb51cb603c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="bar", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/bar/_hoverinfosrc.py
new file mode 100644
index 00000000000..06de717ed8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="bar", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hoverlabel.py b/packages/python/plotly/plotly/validators/bar/_hoverlabel.py
new file mode 100644
index 00000000000..9979b91f23e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="bar", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hovertemplate.py b/packages/python/plotly/plotly/validators/bar/_hovertemplate.py
new file mode 100644
index 00000000000..770622c5d12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="bar", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/bar/_hovertemplatesrc.py
new file mode 100644
index 00000000000..4d4dd68fc7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="bar", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hovertext.py b/packages/python/plotly/plotly/validators/bar/_hovertext.py
new file mode 100644
index 00000000000..1aba8f97b7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="bar", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_hovertextsrc.py b/packages/python/plotly/plotly/validators/bar/_hovertextsrc.py
new file mode 100644
index 00000000000..46491588d70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="bar", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_ids.py b/packages/python/plotly/plotly/validators/bar/_ids.py
new file mode 100644
index 00000000000..147fb2e84d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_ids.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="bar", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_idssrc.py b/packages/python/plotly/plotly/validators/bar/_idssrc.py
new file mode 100644
index 00000000000..92bf744a258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="bar", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_insidetextanchor.py b/packages/python/plotly/plotly/validators/bar/_insidetextanchor.py
new file mode 100644
index 00000000000..eb8a4f89f28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_insidetextanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="insidetextanchor", parent_name="bar", **kwargs):
+        super(InsidetextanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["end", "middle", "start"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_insidetextfont.py b/packages/python/plotly/plotly/validators/bar/_insidetextfont.py
new file mode 100644
index 00000000000..d017ab0a454
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_insidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="insidetextfont", parent_name="bar", **kwargs):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_legendgroup.py b/packages/python/plotly/plotly/validators/bar/_legendgroup.py
new file mode 100644
index 00000000000..51788b43d3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="bar", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_marker.py b/packages/python/plotly/plotly/validators/bar/_marker.py
new file mode 100644
index 00000000000..1c589d6384b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_marker.py
@@ -0,0 +1,110 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="bar", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.bar.marker.ColorBa
+                r` instance or dict with compatible properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.bar.marker.Line`
+                instance or dict with compatible properties
+            opacity
+                Sets the opacity of the bars.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_meta.py b/packages/python/plotly/plotly/validators/bar/_meta.py
new file mode 100644
index 00000000000..559fdd3abb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="bar", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_metasrc.py b/packages/python/plotly/plotly/validators/bar/_metasrc.py
new file mode 100644
index 00000000000..22fdea0be36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="bar", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_name.py b/packages/python/plotly/plotly/validators/bar/_name.py
new file mode 100644
index 00000000000..b4e7908e2f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="bar", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_offset.py b/packages/python/plotly/plotly/validators/bar/_offset.py
new file mode 100644
index 00000000000..984a56cc079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_offset.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="offset", parent_name="bar", **kwargs):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_offsetgroup.py b/packages/python/plotly/plotly/validators/bar/_offsetgroup.py
new file mode 100644
index 00000000000..e42aef8cd25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_offsetgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="offsetgroup", parent_name="bar", **kwargs):
+        super(OffsetgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_offsetsrc.py b/packages/python/plotly/plotly/validators/bar/_offsetsrc.py
new file mode 100644
index 00000000000..571fe391bff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_offsetsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="offsetsrc", parent_name="bar", **kwargs):
+        super(OffsetsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_opacity.py b/packages/python/plotly/plotly/validators/bar/_opacity.py
new file mode 100644
index 00000000000..5338a157310
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="bar", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_orientation.py b/packages/python/plotly/plotly/validators/bar/_orientation.py
new file mode 100644
index 00000000000..287f914bff8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="bar", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_outsidetextfont.py b/packages/python/plotly/plotly/validators/bar/_outsidetextfont.py
new file mode 100644
index 00000000000..07f45be094a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_outsidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="outsidetextfont", parent_name="bar", **kwargs):
+        super(OutsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_r.py b/packages/python/plotly/plotly/validators/bar/_r.py
new file mode 100644
index 00000000000..5c04e7f3454
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="r", parent_name="bar", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_rsrc.py b/packages/python/plotly/plotly/validators/bar/_rsrc.py
new file mode 100644
index 00000000000..fca7bd21342
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_rsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="rsrc", parent_name="bar", **kwargs):
+        super(RsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_selected.py b/packages/python/plotly/plotly/validators/bar/_selected.py
new file mode 100644
index 00000000000..42c05f2acbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_selected.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="bar", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.bar.selected.Marke
+                r` instance or dict with compatible properties
+            textfont
+                :class:`plotly.graph_objects.bar.selected.Textf
+                ont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_selectedpoints.py b/packages/python/plotly/plotly/validators/bar/_selectedpoints.py
new file mode 100644
index 00000000000..6441ebdad4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="bar", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_showlegend.py b/packages/python/plotly/plotly/validators/bar/_showlegend.py
new file mode 100644
index 00000000000..c19f421b0e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="bar", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_stream.py b/packages/python/plotly/plotly/validators/bar/_stream.py
new file mode 100644
index 00000000000..8c12806765e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="bar", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_t.py b/packages/python/plotly/plotly/validators/bar/_t.py
new file mode 100644
index 00000000000..7574ba79ee8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_t.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="t", parent_name="bar", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_text.py b/packages/python/plotly/plotly/validators/bar/_text.py
new file mode 100644
index 00000000000..6b36ac40e2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="bar", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_textangle.py b/packages/python/plotly/plotly/validators/bar/_textangle.py
new file mode 100644
index 00000000000..355776b8163
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_textangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="textangle", parent_name="bar", **kwargs):
+        super(TextangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_textfont.py b/packages/python/plotly/plotly/validators/bar/_textfont.py
new file mode 100644
index 00000000000..ec8feb8f8f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="bar", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_textposition.py b/packages/python/plotly/plotly/validators/bar/_textposition.py
new file mode 100644
index 00000000000..0d092265048
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_textposition.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="bar", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_textpositionsrc.py b/packages/python/plotly/plotly/validators/bar/_textpositionsrc.py
new file mode 100644
index 00000000000..82fae0949fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_textpositionsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textpositionsrc", parent_name="bar", **kwargs):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_textsrc.py b/packages/python/plotly/plotly/validators/bar/_textsrc.py
new file mode 100644
index 00000000000..94fc3304dd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="bar", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_texttemplate.py b/packages/python/plotly/plotly/validators/bar/_texttemplate.py
new file mode 100644
index 00000000000..63b48895ce5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="bar", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/bar/_texttemplatesrc.py
new file mode 100644
index 00000000000..8a15b5dc9e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_texttemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="texttemplatesrc", parent_name="bar", **kwargs):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_tsrc.py b/packages/python/plotly/plotly/validators/bar/_tsrc.py
new file mode 100644
index 00000000000..3726946008d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_tsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tsrc", parent_name="bar", **kwargs):
+        super(TsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_uid.py b/packages/python/plotly/plotly/validators/bar/_uid.py
new file mode 100644
index 00000000000..5b8ae0ea701
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_uid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="bar", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_uirevision.py b/packages/python/plotly/plotly/validators/bar/_uirevision.py
new file mode 100644
index 00000000000..574d5b80b83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="bar", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_unselected.py b/packages/python/plotly/plotly/validators/bar/_unselected.py
new file mode 100644
index 00000000000..146039457d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="bar", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.bar.unselected.Mar
+                ker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.bar.unselected.Tex
+                tfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_visible.py b/packages/python/plotly/plotly/validators/bar/_visible.py
new file mode 100644
index 00000000000..6125bde123e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="bar", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_width.py b/packages/python/plotly/plotly/validators/bar/_width.py
new file mode 100644
index 00000000000..3fdbcb82683
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="bar", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_widthsrc.py b/packages/python/plotly/plotly/validators/bar/_widthsrc.py
new file mode 100644
index 00000000000..d33233ad73d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_widthsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="widthsrc", parent_name="bar", **kwargs):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_x.py b/packages/python/plotly/plotly/validators/bar/_x.py
new file mode 100644
index 00000000000..4ff09a042f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_x.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="bar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_x0.py b/packages/python/plotly/plotly/validators/bar/_x0.py
new file mode 100644
index 00000000000..08fc7ab61dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_x0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="bar", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_xaxis.py b/packages/python/plotly/plotly/validators/bar/_xaxis.py
new file mode 100644
index 00000000000..e6cea95051d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="bar", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_xcalendar.py b/packages/python/plotly/plotly/validators/bar/_xcalendar.py
new file mode 100644
index 00000000000..64b4d0f1d84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="bar", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_xsrc.py b/packages/python/plotly/plotly/validators/bar/_xsrc.py
new file mode 100644
index 00000000000..239e2de6084
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="bar", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_y.py b/packages/python/plotly/plotly/validators/bar/_y.py
new file mode 100644
index 00000000000..99513a52d9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_y.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="bar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_y0.py b/packages/python/plotly/plotly/validators/bar/_y0.py
new file mode 100644
index 00000000000..d52ba3bb2e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_y0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="bar", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_yaxis.py b/packages/python/plotly/plotly/validators/bar/_yaxis.py
new file mode 100644
index 00000000000..761abb2396b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="bar", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_ycalendar.py b/packages/python/plotly/plotly/validators/bar/_ycalendar.py
new file mode 100644
index 00000000000..b0653a8db4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="bar", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/_ysrc.py b/packages/python/plotly/plotly/validators/bar/_ysrc.py
new file mode 100644
index 00000000000..e7bb0cfe5d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="bar", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/__init__.py b/packages/python/plotly/plotly/validators/bar/error_x/__init__.py
index 05ebb4da7e2..e4688233f0f 100644
--- a/packages/python/plotly/plotly/validators/bar/error_x/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/error_x/__init__.py
@@ -1,219 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="bar.error_x", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="bar.error_x", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="valueminus", parent_name="bar.error_x", **kwargs):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="bar.error_x", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="bar.error_x", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="bar.error_x", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="traceref", parent_name="bar.error_x", **kwargs):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="thickness", parent_name="bar.error_x", **kwargs):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="symmetric", parent_name="bar.error_x", **kwargs):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CopyYstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="copy_ystyle", parent_name="bar.error_x", **kwargs):
-        super(CopyYstyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="bar.error_x", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="arraysrc", parent_name="bar.error_x", **kwargs):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="bar.error_x", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="arrayminus", parent_name="bar.error_x", **kwargs):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="bar.error_x", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._copy_ystyle import Copy_YstyleValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._copy_ystyle.Copy_YstyleValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_array.py b/packages/python/plotly/plotly/validators/bar/error_x/_array.py
new file mode 100644
index 00000000000..aa4e3c50d96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="bar.error_x", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_arrayminus.py b/packages/python/plotly/plotly/validators/bar/error_x/_arrayminus.py
new file mode 100644
index 00000000000..5affa97a4b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_arrayminus.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="arrayminus", parent_name="bar.error_x", **kwargs):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_arrayminussrc.py b/packages/python/plotly/plotly/validators/bar/error_x/_arrayminussrc.py
new file mode 100644
index 00000000000..d6decddc843
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="bar.error_x", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_arraysrc.py b/packages/python/plotly/plotly/validators/bar/error_x/_arraysrc.py
new file mode 100644
index 00000000000..04a9fd6218c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_arraysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="arraysrc", parent_name="bar.error_x", **kwargs):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_color.py b/packages/python/plotly/plotly/validators/bar/error_x/_color.py
new file mode 100644
index 00000000000..2cb2b737d33
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="bar.error_x", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_copy_ystyle.py b/packages/python/plotly/plotly/validators/bar/error_x/_copy_ystyle.py
new file mode 100644
index 00000000000..95ba0fa3992
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_copy_ystyle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Copy_YstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="copy_ystyle", parent_name="bar.error_x", **kwargs):
+        super(Copy_YstyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_symmetric.py b/packages/python/plotly/plotly/validators/bar/error_x/_symmetric.py
new file mode 100644
index 00000000000..8eb29bdcda6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_symmetric.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="symmetric", parent_name="bar.error_x", **kwargs):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_thickness.py b/packages/python/plotly/plotly/validators/bar/error_x/_thickness.py
new file mode 100644
index 00000000000..9a9eedbeddd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_thickness.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="thickness", parent_name="bar.error_x", **kwargs):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_traceref.py b/packages/python/plotly/plotly/validators/bar/error_x/_traceref.py
new file mode 100644
index 00000000000..071259fd704
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_traceref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="traceref", parent_name="bar.error_x", **kwargs):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_tracerefminus.py b/packages/python/plotly/plotly/validators/bar/error_x/_tracerefminus.py
new file mode 100644
index 00000000000..b05dafd244f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="bar.error_x", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_type.py b/packages/python/plotly/plotly/validators/bar/error_x/_type.py
new file mode 100644
index 00000000000..67a8f70066c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="bar.error_x", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_value.py b/packages/python/plotly/plotly/validators/bar/error_x/_value.py
new file mode 100644
index 00000000000..3cf48a3d950
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="bar.error_x", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_valueminus.py b/packages/python/plotly/plotly/validators/bar/error_x/_valueminus.py
new file mode 100644
index 00000000000..7c4d33f4e48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_valueminus.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="valueminus", parent_name="bar.error_x", **kwargs):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_visible.py b/packages/python/plotly/plotly/validators/bar/error_x/_visible.py
new file mode 100644
index 00000000000..457dfcc5138
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="bar.error_x", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_x/_width.py b/packages/python/plotly/plotly/validators/bar/error_x/_width.py
new file mode 100644
index 00000000000..6509f4ec660
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_x/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="bar.error_x", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/__init__.py b/packages/python/plotly/plotly/validators/bar/error_y/__init__.py
index 37f8b74f5aa..0a508f0c655 100644
--- a/packages/python/plotly/plotly/validators/bar/error_y/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/error_y/__init__.py
@@ -1,205 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="bar.error_y", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="bar.error_y", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="valueminus", parent_name="bar.error_y", **kwargs):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="bar.error_y", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="bar.error_y", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="bar.error_y", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="traceref", parent_name="bar.error_y", **kwargs):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="thickness", parent_name="bar.error_y", **kwargs):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="symmetric", parent_name="bar.error_y", **kwargs):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="bar.error_y", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="arraysrc", parent_name="bar.error_y", **kwargs):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="bar.error_y", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="arrayminus", parent_name="bar.error_y", **kwargs):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="bar.error_y", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_array.py b/packages/python/plotly/plotly/validators/bar/error_y/_array.py
new file mode 100644
index 00000000000..04d3848e90b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="bar.error_y", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_arrayminus.py b/packages/python/plotly/plotly/validators/bar/error_y/_arrayminus.py
new file mode 100644
index 00000000000..0ac8f55e6a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_arrayminus.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="arrayminus", parent_name="bar.error_y", **kwargs):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_arrayminussrc.py b/packages/python/plotly/plotly/validators/bar/error_y/_arrayminussrc.py
new file mode 100644
index 00000000000..eb3cb696ff9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="bar.error_y", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_arraysrc.py b/packages/python/plotly/plotly/validators/bar/error_y/_arraysrc.py
new file mode 100644
index 00000000000..1cf1042ce9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_arraysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="arraysrc", parent_name="bar.error_y", **kwargs):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_color.py b/packages/python/plotly/plotly/validators/bar/error_y/_color.py
new file mode 100644
index 00000000000..8cfe4335bdd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="bar.error_y", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_symmetric.py b/packages/python/plotly/plotly/validators/bar/error_y/_symmetric.py
new file mode 100644
index 00000000000..1fe54f87813
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_symmetric.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="symmetric", parent_name="bar.error_y", **kwargs):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_thickness.py b/packages/python/plotly/plotly/validators/bar/error_y/_thickness.py
new file mode 100644
index 00000000000..7e3370a8f3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_thickness.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="thickness", parent_name="bar.error_y", **kwargs):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_traceref.py b/packages/python/plotly/plotly/validators/bar/error_y/_traceref.py
new file mode 100644
index 00000000000..86cedc587a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_traceref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="traceref", parent_name="bar.error_y", **kwargs):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_tracerefminus.py b/packages/python/plotly/plotly/validators/bar/error_y/_tracerefminus.py
new file mode 100644
index 00000000000..6e9a809591c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="bar.error_y", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_type.py b/packages/python/plotly/plotly/validators/bar/error_y/_type.py
new file mode 100644
index 00000000000..2cd9f44ccde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="bar.error_y", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_value.py b/packages/python/plotly/plotly/validators/bar/error_y/_value.py
new file mode 100644
index 00000000000..c4a53693b16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="bar.error_y", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_valueminus.py b/packages/python/plotly/plotly/validators/bar/error_y/_valueminus.py
new file mode 100644
index 00000000000..7c7129114c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_valueminus.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="valueminus", parent_name="bar.error_y", **kwargs):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_visible.py b/packages/python/plotly/plotly/validators/bar/error_y/_visible.py
new file mode 100644
index 00000000000..2e8b21fdee0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="bar.error_y", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/error_y/_width.py b/packages/python/plotly/plotly/validators/bar/error_y/_width.py
new file mode 100644
index 00000000000..72410cc1964
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/error_y/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="bar.error_y", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/__init__.py
index 300cdacf060..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/bar/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/__init__.py
@@ -1,174 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="bar.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="bar.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="bar.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="bar.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="bar.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="bar.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="bar.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="bar.hoverlabel", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="bar.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_align.py
new file mode 100644
index 00000000000..8a6f984c51e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="bar.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..cffb62e6f9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="bar.hoverlabel", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..f439bd6afc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="bar.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..cefd10cfd11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="bar.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..afaf5647ac1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="bar.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..f320d196b66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="bar.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_font.py
new file mode 100644
index 00000000000..0e6f4604dc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="bar.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..3289e4c51e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="bar.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..add9e9c6844
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="bar.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/__init__.py
index f1b9817df68..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="bar.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="bar.hoverlabel.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="bar.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="bar.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="bar.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..46dce9fa10b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..faf87dfd705
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="bar.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..88ef9b76d57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="bar.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..c15d24f3671
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="bar.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..1f4b6d52bf0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="bar.hoverlabel.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..1ff9ad97dea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="bar.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/__init__.py
index 5b57343df9f..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/bar/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/__init__.py
@@ -1,96 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="bar.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="bar.insidetextfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="bar.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="bar.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="bar.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="bar.insidetextfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/_color.py
new file mode 100644
index 00000000000..7f3be78307c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="bar.insidetextfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..14edca878bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="bar.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/_family.py
new file mode 100644
index 00000000000..bb3a5a29d58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="bar.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..e806baf6061
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="bar.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/_size.py
new file mode 100644
index 00000000000..a7264ed184f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="bar.insidetextfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/bar/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..3a644033632
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="bar.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/__init__.py
index e2e4eaaf42e..bcbbad4466a 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/__init__.py
@@ -1,530 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="bar.marker", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="bar.marker", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="opacitysrc", parent_name="bar.marker", **kwargs):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="bar.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="bar.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="bar.marker", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="bar.marker", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="bar.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.bar.mar
-                ker.colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.bar.marker.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of bar.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.bar.marker.colorba
-                r.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                bar.marker.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                bar.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="bar.marker", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="bar.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "bar.marker.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="bar.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="bar.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="bar.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="bar.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="bar.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/bar/marker/_autocolorscale.py
new file mode 100644
index 00000000000..c0d7ed62218
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="bar.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_cauto.py b/packages/python/plotly/plotly/validators/bar/marker/_cauto.py
new file mode 100644
index 00000000000..631e670298f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="bar.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_cmax.py b/packages/python/plotly/plotly/validators/bar/marker/_cmax.py
new file mode 100644
index 00000000000..2574c4d0cfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="bar.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_cmid.py b/packages/python/plotly/plotly/validators/bar/marker/_cmid.py
new file mode 100644
index 00000000000..1e66f0fd7d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="bar.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_cmin.py b/packages/python/plotly/plotly/validators/bar/marker/_cmin.py
new file mode 100644
index 00000000000..bf30bf6b26b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="bar.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_color.py b/packages/python/plotly/plotly/validators/bar/marker/_color.py
new file mode 100644
index 00000000000..aa78b5463e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="bar.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "bar.marker.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/bar/marker/_coloraxis.py
new file mode 100644
index 00000000000..cc973c77132
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="bar.marker", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_colorbar.py b/packages/python/plotly/plotly/validators/bar/marker/_colorbar.py
new file mode 100644
index 00000000000..79f69f48cbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="bar.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.bar.mar
+                ker.colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.bar.marker.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of bar.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.bar.marker.colorba
+                r.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                bar.marker.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                bar.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_colorscale.py b/packages/python/plotly/plotly/validators/bar/marker/_colorscale.py
new file mode 100644
index 00000000000..69303daf28d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="bar.marker", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/bar/marker/_colorsrc.py
new file mode 100644
index 00000000000..8e3d2ef1768
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="bar.marker", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_line.py b/packages/python/plotly/plotly/validators/bar/marker/_line.py
new file mode 100644
index 00000000000..8cdb5593af1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="bar.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_opacity.py b/packages/python/plotly/plotly/validators/bar/marker/_opacity.py
new file mode 100644
index 00000000000..8c260bbc512
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="bar.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/bar/marker/_opacitysrc.py
new file mode 100644
index 00000000000..270beefb470
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_opacitysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="opacitysrc", parent_name="bar.marker", **kwargs):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_reversescale.py b/packages/python/plotly/plotly/validators/bar/marker/_reversescale.py
new file mode 100644
index 00000000000..9b42ae8a282
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="bar.marker", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/_showscale.py b/packages/python/plotly/plotly/validators/bar/marker/_showscale.py
new file mode 100644
index 00000000000..42744c2fb6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="bar.marker", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/__init__.py
index 4d6a4abb93f..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/__init__.py
@@ -1,761 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="bar.marker.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="bar.marker.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="bar.marker.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="bar.marker.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="bar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="bar.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="bar.marker.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="bar.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..89e72b81205
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..8f0f52152b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..c4cdb76a345
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..13c7b0be952
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..2c53fbfd14b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_len.py
new file mode 100644
index 00000000000..8528a13ae3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="bar.marker.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..b1e780cf574
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..a655bf9a2cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..f3cbd87e92e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..6ef7b42e1ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..175cb8a86b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="bar.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..8765708cdd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..44b8cc5908f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..b02ac744814
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..1002ef5023e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..18e6ed1f00b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..0081d2ce389
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..baa9233c3dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..73f011373f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..30e3c52855b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..78d66ed52b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..4b9df58dad5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..d122cfe451e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="bar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..c4baf0162ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..f74f98f60f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..2923008dae0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..a564eb5b910
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..0847f129029
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..b48fd7f1239
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..80574c2445f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..bf60934c76b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..1c2204d1568
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..58e3fcfc130
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..f6200e28421
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_title.py
new file mode 100644
index 00000000000..0e862219410
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_x.py
new file mode 100644
index 00000000000..db254ff5aa3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="bar.marker.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..86a47fcc3ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..b45e52e820e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="bar.marker.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_y.py
new file mode 100644
index 00000000000..b2aa44fb2f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="bar.marker.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..f66f6a9d305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="bar.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..2b353b1862c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="bar.marker.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/__init__.py
index 9cfe21cf019..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="bar.marker.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="bar.marker.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.marker.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..5fd9807c3ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.marker.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..5d4a342f099
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="bar.marker.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..241782a171d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="bar.marker.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/__init__.py
index dbed4ff4cc7..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="bar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="bar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="bar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="bar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="bar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..1c3a4a9ecf4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="bar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..4d1e4e84a04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="bar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..3686a43d68e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="bar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..352f0514c2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="bar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..1918defd55b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="bar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/__init__.py
index b66173a54d1..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="bar.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="bar.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="bar.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..5e936b5a081
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="bar.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..535b43037d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="bar.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..f2a132416da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="bar.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/__init__.py
index daa8a19ebf3..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/__init__.py
@@ -1,55 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="bar.marker.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="bar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="bar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..fd4b9b105fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="bar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..b021db486aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="bar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..3813efc8acc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="bar.marker.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/__init__.py b/packages/python/plotly/plotly/validators/bar/marker/line/__init__.py
index ab5b7407141..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/bar/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/__init__.py
@@ -1,187 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="widthsrc", parent_name="bar.marker.line", **kwargs):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="bar.marker.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="bar.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="bar.marker.line", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="bar.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="bar.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="bar.marker.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "bar.marker.line.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="bar.marker.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="bar.marker.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="bar.marker.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="bar.marker.line", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="bar.marker.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/bar/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..214b4d7e487
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="bar.marker.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/bar/marker/line/_cauto.py
new file mode 100644
index 00000000000..adcd362c5cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="bar.marker.line", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/bar/marker/line/_cmax.py
new file mode 100644
index 00000000000..6d2641ed6f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="bar.marker.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/bar/marker/line/_cmid.py
new file mode 100644
index 00000000000..d530147b4aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="bar.marker.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/bar/marker/line/_cmin.py
new file mode 100644
index 00000000000..485fcc54622
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="bar.marker.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_color.py b/packages/python/plotly/plotly/validators/bar/marker/line/_color.py
new file mode 100644
index 00000000000..6adeb31c848
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="bar.marker.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "bar.marker.line.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/bar/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..bcebdfcdf19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="bar.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/bar/marker/line/_colorscale.py
new file mode 100644
index 00000000000..f1fc46ebc71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="bar.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/bar/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..679ec3690f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="bar.marker.line", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/bar/marker/line/_reversescale.py
new file mode 100644
index 00000000000..19ac08ce217
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="bar.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_width.py b/packages/python/plotly/plotly/validators/bar/marker/line/_width.py
new file mode 100644
index 00000000000..cabd2b85375
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="bar.marker.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/bar/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..298faf191a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/marker/line/_widthsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="widthsrc", parent_name="bar.marker.line", **kwargs):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/__init__.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/__init__.py
index 9effadf7701..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/bar/outsidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="bar.outsidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="bar.outsidetextfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="bar.outsidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="bar.outsidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="bar.outsidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.outsidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/_color.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_color.py
new file mode 100644
index 00000000000..00cd1b99f22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.outsidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..e8900e89769
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="bar.outsidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/_family.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_family.py
new file mode 100644
index 00000000000..b781cdb6269
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="bar.outsidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_familysrc.py
new file mode 100644
index 00000000000..47c36a8d580
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="bar.outsidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/_size.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_size.py
new file mode 100644
index 00000000000..880154a6e75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="bar.outsidetextfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/outsidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..c4d8b563534
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/outsidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="bar.outsidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/__init__.py b/packages/python/plotly/plotly/validators/bar/selected/__init__.py
index d965d7bed75..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/bar/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/selected/__init__.py
@@ -1,40 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="bar.selected", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="bar.selected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/_marker.py b/packages/python/plotly/plotly/validators/bar/selected/_marker.py
new file mode 100644
index 00000000000..d0fd8327306
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/selected/_marker.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="bar.selected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/_textfont.py b/packages/python/plotly/plotly/validators/bar/selected/_textfont.py
new file mode 100644
index 00000000000..a2d2e210475
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/selected/_textfont.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="bar.selected", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/bar/selected/marker/__init__.py
index be2358bbec0..772f2b07352 100644
--- a/packages/python/plotly/plotly/validators/bar/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/selected/marker/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="bar.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/marker/_color.py b/packages/python/plotly/plotly/validators/bar/selected/marker/_color.py
new file mode 100644
index 00000000000..14934b57f9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/bar/selected/marker/_opacity.py
new file mode 100644
index 00000000000..1b60a252838
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="bar.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/bar/selected/textfont/__init__.py
index 92d5879e018..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/bar/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/selected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.selected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/bar/selected/textfont/_color.py
new file mode 100644
index 00000000000..92d5879e018
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/selected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.selected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/stream/__init__.py b/packages/python/plotly/plotly/validators/bar/stream/__init__.py
index b58ee49dbdb..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/bar/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="bar.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="bar.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/bar/stream/_maxpoints.py
new file mode 100644
index 00000000000..c51a596b188
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="bar.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/stream/_token.py b/packages/python/plotly/plotly/validators/bar/stream/_token.py
new file mode 100644
index 00000000000..3cf4816147f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="bar.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/__init__.py b/packages/python/plotly/plotly/validators/bar/textfont/__init__.py
index 785f50ea192..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/bar/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/textfont/__init__.py
@@ -1,88 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="bar.textfont", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="bar.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="familysrc", parent_name="bar.textfont", **kwargs):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="bar.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="bar.textfont", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="bar.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/_color.py b/packages/python/plotly/plotly/validators/bar/textfont/_color.py
new file mode 100644
index 00000000000..0da0f020a7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="bar.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/bar/textfont/_colorsrc.py
new file mode 100644
index 00000000000..21fd56e2302
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/textfont/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="bar.textfont", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/_family.py b/packages/python/plotly/plotly/validators/bar/textfont/_family.py
new file mode 100644
index 00000000000..d392beebd6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/textfont/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="bar.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/bar/textfont/_familysrc.py
new file mode 100644
index 00000000000..f063337bf44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/textfont/_familysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="familysrc", parent_name="bar.textfont", **kwargs):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/_size.py b/packages/python/plotly/plotly/validators/bar/textfont/_size.py
new file mode 100644
index 00000000000..c8952a7c1b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="bar.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/bar/textfont/_sizesrc.py
new file mode 100644
index 00000000000..58a888769be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/textfont/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="bar.textfont", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/__init__.py b/packages/python/plotly/plotly/validators/bar/unselected/__init__.py
index e6f2c42291f..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/bar/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/unselected/__init__.py
@@ -1,43 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="bar.unselected", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="bar.unselected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/_marker.py b/packages/python/plotly/plotly/validators/bar/unselected/_marker.py
new file mode 100644
index 00000000000..542118c5aa6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/unselected/_marker.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="bar.unselected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/_textfont.py b/packages/python/plotly/plotly/validators/bar/unselected/_textfont.py
new file mode 100644
index 00000000000..d6cd4f5b553
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/unselected/_textfont.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="bar.unselected", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/bar/unselected/marker/__init__.py
index 5ada327fe94..772f2b07352 100644
--- a/packages/python/plotly/plotly/validators/bar/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/unselected/marker/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="bar.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/bar/unselected/marker/_color.py
new file mode 100644
index 00000000000..11aebb88f6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/bar/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..5fe2476f48e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="bar.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/bar/unselected/textfont/__init__.py
index 1bc89eea0df..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/bar/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/bar/unselected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="bar.unselected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/bar/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/bar/unselected/textfont/_color.py
new file mode 100644
index 00000000000..1bc89eea0df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/bar/unselected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="bar.unselected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/__init__.py b/packages/python/plotly/plotly/validators/barpolar/__init__.py
index 2fc0d4f6f35..842dfa599ff 100644
--- a/packages/python/plotly/plotly/validators/barpolar/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/__init__.py
@@ -1,793 +1,98 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="widthsrc", parent_name="barpolar", **kwargs):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="barpolar", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="barpolar", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="barpolar", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.barpolar.unselecte
-                d.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.barpolar.unselecte
-                d.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="barpolar", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="barpolar", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="thetaunit", parent_name="barpolar", **kwargs):
-        super(ThetaunitValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["radians", "degrees", "gradians"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="thetasrc", parent_name="barpolar", **kwargs):
-        super(ThetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Theta0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="theta0", parent_name="barpolar", **kwargs):
-        super(Theta0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="theta", parent_name="barpolar", **kwargs):
-        super(ThetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="barpolar", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="barpolar", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="barpolar", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "polar"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="barpolar", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="barpolar", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="barpolar", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="barpolar", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.barpolar.selected.
-                Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.barpolar.selected.
-                Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="rsrc", parent_name="barpolar", **kwargs):
-        super(RsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class R0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="r0", parent_name="barpolar", **kwargs):
-        super(R0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="r", parent_name="barpolar", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="barpolar", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="offsetsrc", parent_name="barpolar", **kwargs):
-        super(OffsetsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="offset", parent_name="barpolar", **kwargs):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="barpolar", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="barpolar", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="barpolar", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="barpolar", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.barpolar.marker.Co
-                lorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.barpolar.marker.Li
-                ne` instance or dict with compatible properties
-            opacity
-                Sets the opacity of the bars.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="barpolar", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="barpolar", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="barpolar", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="barpolar", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="barpolar", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="barpolar", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="barpolar", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="barpolar", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="barpolar", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="barpolar", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["r", "theta", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DthetaValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtheta", parent_name="barpolar", **kwargs):
-        super(DthetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DrValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dr", parent_name="barpolar", **kwargs):
-        super(DrValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="barpolar", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="barpolar", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="basesrc", parent_name="barpolar", **kwargs):
-        super(BasesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaseValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="base", parent_name="barpolar", **kwargs):
-        super(BaseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._thetaunit import ThetaunitValidator
+    from ._thetasrc import ThetasrcValidator
+    from ._theta0 import Theta0Validator
+    from ._theta import ThetaValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._rsrc import RsrcValidator
+    from ._r0 import R0Validator
+    from ._r import RValidator
+    from ._opacity import OpacityValidator
+    from ._offsetsrc import OffsetsrcValidator
+    from ._offset import OffsetValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dtheta import DthetaValidator
+    from ._dr import DrValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._basesrc import BasesrcValidator
+    from ._base import BaseValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._thetaunit.ThetaunitValidator",
+            "._thetasrc.ThetasrcValidator",
+            "._theta0.Theta0Validator",
+            "._theta.ThetaValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._rsrc.RsrcValidator",
+            "._r0.R0Validator",
+            "._r.RValidator",
+            "._opacity.OpacityValidator",
+            "._offsetsrc.OffsetsrcValidator",
+            "._offset.OffsetValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dtheta.DthetaValidator",
+            "._dr.DrValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._basesrc.BasesrcValidator",
+            "._base.BaseValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_base.py b/packages/python/plotly/plotly/validators/barpolar/_base.py
new file mode 100644
index 00000000000..af27c5e4716
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_base.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BaseValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="base", parent_name="barpolar", **kwargs):
+        super(BaseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_basesrc.py b/packages/python/plotly/plotly/validators/barpolar/_basesrc.py
new file mode 100644
index 00000000000..cfa0e840803
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_basesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="basesrc", parent_name="barpolar", **kwargs):
+        super(BasesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_customdata.py b/packages/python/plotly/plotly/validators/barpolar/_customdata.py
new file mode 100644
index 00000000000..214d14703f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="barpolar", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_customdatasrc.py b/packages/python/plotly/plotly/validators/barpolar/_customdatasrc.py
new file mode 100644
index 00000000000..17d3a5e2c53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="barpolar", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_dr.py b/packages/python/plotly/plotly/validators/barpolar/_dr.py
new file mode 100644
index 00000000000..8530466cd87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_dr.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DrValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dr", parent_name="barpolar", **kwargs):
+        super(DrValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_dtheta.py b/packages/python/plotly/plotly/validators/barpolar/_dtheta.py
new file mode 100644
index 00000000000..0fe0cb49b6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_dtheta.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DthetaValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtheta", parent_name="barpolar", **kwargs):
+        super(DthetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hoverinfo.py b/packages/python/plotly/plotly/validators/barpolar/_hoverinfo.py
new file mode 100644
index 00000000000..e26ca466441
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="barpolar", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["r", "theta", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/barpolar/_hoverinfosrc.py
new file mode 100644
index 00000000000..6e9fde0afe8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="barpolar", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hoverlabel.py b/packages/python/plotly/plotly/validators/barpolar/_hoverlabel.py
new file mode 100644
index 00000000000..d8b48c2cfd9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="barpolar", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hovertemplate.py b/packages/python/plotly/plotly/validators/barpolar/_hovertemplate.py
new file mode 100644
index 00000000000..3b2b6e6f6a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="barpolar", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/barpolar/_hovertemplatesrc.py
new file mode 100644
index 00000000000..6aac0c26611
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="barpolar", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hovertext.py b/packages/python/plotly/plotly/validators/barpolar/_hovertext.py
new file mode 100644
index 00000000000..ebd30412ae8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="barpolar", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_hovertextsrc.py b/packages/python/plotly/plotly/validators/barpolar/_hovertextsrc.py
new file mode 100644
index 00000000000..d23bbb7e7ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="barpolar", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_ids.py b/packages/python/plotly/plotly/validators/barpolar/_ids.py
new file mode 100644
index 00000000000..6718b04978e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="barpolar", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_idssrc.py b/packages/python/plotly/plotly/validators/barpolar/_idssrc.py
new file mode 100644
index 00000000000..b3854a9a562
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="barpolar", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_legendgroup.py b/packages/python/plotly/plotly/validators/barpolar/_legendgroup.py
new file mode 100644
index 00000000000..12e6fd06ae7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="barpolar", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_marker.py b/packages/python/plotly/plotly/validators/barpolar/_marker.py
new file mode 100644
index 00000000000..3ada20c3c62
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_marker.py
@@ -0,0 +1,111 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="barpolar", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.barpolar.marker.Co
+                lorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.barpolar.marker.Li
+                ne` instance or dict with compatible properties
+            opacity
+                Sets the opacity of the bars.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_meta.py b/packages/python/plotly/plotly/validators/barpolar/_meta.py
new file mode 100644
index 00000000000..831f61db73b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="barpolar", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_metasrc.py b/packages/python/plotly/plotly/validators/barpolar/_metasrc.py
new file mode 100644
index 00000000000..e30b2b0a753
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="barpolar", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_name.py b/packages/python/plotly/plotly/validators/barpolar/_name.py
new file mode 100644
index 00000000000..757c162f5cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="barpolar", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_offset.py b/packages/python/plotly/plotly/validators/barpolar/_offset.py
new file mode 100644
index 00000000000..bf1e9a9a034
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_offset.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="offset", parent_name="barpolar", **kwargs):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_offsetsrc.py b/packages/python/plotly/plotly/validators/barpolar/_offsetsrc.py
new file mode 100644
index 00000000000..26977336ef9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_offsetsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="offsetsrc", parent_name="barpolar", **kwargs):
+        super(OffsetsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_opacity.py b/packages/python/plotly/plotly/validators/barpolar/_opacity.py
new file mode 100644
index 00000000000..1e64a88fd29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="barpolar", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_r.py b/packages/python/plotly/plotly/validators/barpolar/_r.py
new file mode 100644
index 00000000000..57b4f4deb70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="r", parent_name="barpolar", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_r0.py b/packages/python/plotly/plotly/validators/barpolar/_r0.py
new file mode 100644
index 00000000000..fddc120b4be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_r0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class R0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="r0", parent_name="barpolar", **kwargs):
+        super(R0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_rsrc.py b/packages/python/plotly/plotly/validators/barpolar/_rsrc.py
new file mode 100644
index 00000000000..0cc4bb6b276
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_rsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="rsrc", parent_name="barpolar", **kwargs):
+        super(RsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_selected.py b/packages/python/plotly/plotly/validators/barpolar/_selected.py
new file mode 100644
index 00000000000..fb9e498f438
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="barpolar", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.barpolar.selected.
+                Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.barpolar.selected.
+                Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_selectedpoints.py b/packages/python/plotly/plotly/validators/barpolar/_selectedpoints.py
new file mode 100644
index 00000000000..b4b0732ab8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="barpolar", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_showlegend.py b/packages/python/plotly/plotly/validators/barpolar/_showlegend.py
new file mode 100644
index 00000000000..8dfa7f66d46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="barpolar", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_stream.py b/packages/python/plotly/plotly/validators/barpolar/_stream.py
new file mode 100644
index 00000000000..47565009235
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="barpolar", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_subplot.py b/packages/python/plotly/plotly/validators/barpolar/_subplot.py
new file mode 100644
index 00000000000..e79bf568a9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="barpolar", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "polar"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_text.py b/packages/python/plotly/plotly/validators/barpolar/_text.py
new file mode 100644
index 00000000000..0c0dd10187f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="barpolar", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_textsrc.py b/packages/python/plotly/plotly/validators/barpolar/_textsrc.py
new file mode 100644
index 00000000000..681a816ef76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="barpolar", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_theta.py b/packages/python/plotly/plotly/validators/barpolar/_theta.py
new file mode 100644
index 00000000000..ef269c6c019
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_theta.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="theta", parent_name="barpolar", **kwargs):
+        super(ThetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_theta0.py b/packages/python/plotly/plotly/validators/barpolar/_theta0.py
new file mode 100644
index 00000000000..8444ce2807c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_theta0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Theta0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="theta0", parent_name="barpolar", **kwargs):
+        super(Theta0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_thetasrc.py b/packages/python/plotly/plotly/validators/barpolar/_thetasrc.py
new file mode 100644
index 00000000000..c0297fab895
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_thetasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ThetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="thetasrc", parent_name="barpolar", **kwargs):
+        super(ThetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_thetaunit.py b/packages/python/plotly/plotly/validators/barpolar/_thetaunit.py
new file mode 100644
index 00000000000..18833c1c7dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_thetaunit.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="thetaunit", parent_name="barpolar", **kwargs):
+        super(ThetaunitValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["radians", "degrees", "gradians"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_uid.py b/packages/python/plotly/plotly/validators/barpolar/_uid.py
new file mode 100644
index 00000000000..a5704a1c13d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="barpolar", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_uirevision.py b/packages/python/plotly/plotly/validators/barpolar/_uirevision.py
new file mode 100644
index 00000000000..7b5e55ca9b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="barpolar", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_unselected.py b/packages/python/plotly/plotly/validators/barpolar/_unselected.py
new file mode 100644
index 00000000000..04f13c68253
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="barpolar", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.barpolar.unselecte
+                d.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.barpolar.unselecte
+                d.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_visible.py b/packages/python/plotly/plotly/validators/barpolar/_visible.py
new file mode 100644
index 00000000000..718ffc87a2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="barpolar", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_width.py b/packages/python/plotly/plotly/validators/barpolar/_width.py
new file mode 100644
index 00000000000..8c898e96dec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="barpolar", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/_widthsrc.py b/packages/python/plotly/plotly/validators/barpolar/_widthsrc.py
new file mode 100644
index 00000000000..20a836c63a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/_widthsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="widthsrc", parent_name="barpolar", **kwargs):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/__init__.py
index 94280ab81a7..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/__init__.py
@@ -1,180 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="barpolar.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="barpolar.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_align.py
new file mode 100644
index 00000000000..74cbecb30f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..bc6745d7c49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..6f4e51bb678
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..63613a8953f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..8d51aeee5b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..3bf1e6d103f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_font.py
new file mode 100644
index 00000000000..f4722e902cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="barpolar.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..de070203a49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..dbb6c76af6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="barpolar.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/__init__.py
index 4bd7f161992..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="barpolar.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="barpolar.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="barpolar.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="barpolar.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="barpolar.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="barpolar.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..904c9114a4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="barpolar.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..87f6f400929
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="barpolar.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..606c6dfc931
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="barpolar.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b50290f89b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="barpolar.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..28438af3c41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="barpolar.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..e8f40770c55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="barpolar.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/__init__.py
index 167a7433255..bcbbad4466a 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/__init__.py
@@ -1,541 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="barpolar.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="barpolar.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="barpolar.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="barpolar.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="barpolar.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="barpolar.marker", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="barpolar.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="barpolar.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.barpola
-                r.marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.barpolar.marker.colorbar.tickformatstopdefaul
-                ts), sets the default property values to use
-                for elements of
-                barpolar.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.barpolar.marker.co
-                lorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                barpolar.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                barpolar.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="barpolar.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="barpolar.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "barpolar.marker.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="barpolar.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="barpolar.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="barpolar.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="barpolar.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="barpolar.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/barpolar/marker/_autocolorscale.py
new file mode 100644
index 00000000000..819b02d2e89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="barpolar.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_cauto.py b/packages/python/plotly/plotly/validators/barpolar/marker/_cauto.py
new file mode 100644
index 00000000000..21965fcfd40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="barpolar.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_cmax.py b/packages/python/plotly/plotly/validators/barpolar/marker/_cmax.py
new file mode 100644
index 00000000000..72484546658
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="barpolar.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_cmid.py b/packages/python/plotly/plotly/validators/barpolar/marker/_cmid.py
new file mode 100644
index 00000000000..7ef70e6a5ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="barpolar.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_cmin.py b/packages/python/plotly/plotly/validators/barpolar/marker/_cmin.py
new file mode 100644
index 00000000000..5a8c81f3853
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="barpolar.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_color.py b/packages/python/plotly/plotly/validators/barpolar/marker/_color.py
new file mode 100644
index 00000000000..f33d502b670
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="barpolar.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "barpolar.marker.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/barpolar/marker/_coloraxis.py
new file mode 100644
index 00000000000..5f2f951ace4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="barpolar.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_colorbar.py b/packages/python/plotly/plotly/validators/barpolar/marker/_colorbar.py
new file mode 100644
index 00000000000..f9855120dff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="barpolar.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.barpola
+                r.marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.barpolar.marker.colorbar.tickformatstopdefaul
+                ts), sets the default property values to use
+                for elements of
+                barpolar.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.barpolar.marker.co
+                lorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                barpolar.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                barpolar.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_colorscale.py b/packages/python/plotly/plotly/validators/barpolar/marker/_colorscale.py
new file mode 100644
index 00000000000..a7307a5449d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="barpolar.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/barpolar/marker/_colorsrc.py
new file mode 100644
index 00000000000..a9771f4153c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="barpolar.marker", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_line.py b/packages/python/plotly/plotly/validators/barpolar/marker/_line.py
new file mode 100644
index 00000000000..61705617a7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="barpolar.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_opacity.py b/packages/python/plotly/plotly/validators/barpolar/marker/_opacity.py
new file mode 100644
index 00000000000..706a0c4cc84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="barpolar.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/barpolar/marker/_opacitysrc.py
new file mode 100644
index 00000000000..52b9926b7d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="barpolar.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_reversescale.py b/packages/python/plotly/plotly/validators/barpolar/marker/_reversescale.py
new file mode 100644
index 00000000000..3a65f734d22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="barpolar.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/_showscale.py b/packages/python/plotly/plotly/validators/barpolar/marker/_showscale.py
new file mode 100644
index 00000000000..2f86edef1ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="barpolar.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/__init__.py
index 056f06e4cc7..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/__init__.py
@@ -1,810 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="barpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="barpolar.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..3e7e391596c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..5fd268ef719
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..ae16df6916a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..28785aaeb10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..15e025ae3af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_len.py
new file mode 100644
index 00000000000..32c733ae7c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..6445ff82264
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..313ad252bc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..d8db6bcda76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..df758d29ad0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..9fcf2f5bceb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..3fb6ebec266
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..de1e2840fb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..5dc277c60c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..f1bf77c4de6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..21f21a323c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..dc70b4e7939
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..36bfbfa4db1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..6c9d0d49798
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..355e938a8ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..56703ea0f7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..904a7b42dfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..3e8cd33c036
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..6c40f9f801f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..7d8c190fa7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..aa1f9f90c5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..b0c5417e265
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..101bf393fd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..f4d65d27c6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..d2a7fdcab06
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..cb232007802
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..80029e6859f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..bd1ee07f461
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="barpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..b3df442f4b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_title.py
new file mode 100644
index 00000000000..203522ee3bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_x.py
new file mode 100644
index 00000000000..b8a23d47f94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..13a45f197be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..1e39cb33b5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_y.py
new file mode 100644
index 00000000000..1189a0304aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..9910fb16781
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..1e2179c3c55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="barpolar.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/__init__.py
index f5e29a30f28..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="barpolar.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="barpolar.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="barpolar.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..e73a994cba9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="barpolar.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..7858a1e8042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="barpolar.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..c9dd802a44c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="barpolar.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/__init__.py
index 01c3aad7f93..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="barpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="barpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="barpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="barpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="barpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..3d500b8a8f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="barpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..e374568b588
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="barpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..b32fb718e59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="barpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..c1fb6151289
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="barpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..c7c303df311
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="barpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/__init__.py
index 9d8d7b317f2..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="barpolar.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="barpolar.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="barpolar.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..28784e1e082
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="barpolar.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..ed985dd9ce6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="barpolar.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..25606f239cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="barpolar.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/__init__.py
index 0cd23bea5eb..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="barpolar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="barpolar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="barpolar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..e77c6aaa4df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="barpolar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..d5fc7fc7691
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="barpolar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..b646c86ecf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="barpolar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/__init__.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/__init__.py
index 3023c561544..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/barpolar/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/__init__.py
@@ -1,204 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "barpolar.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="barpolar.marker.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..56ae9856f07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cauto.py
new file mode 100644
index 00000000000..476270cabef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmax.py
new file mode 100644
index 00000000000..58c3716d175
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmid.py
new file mode 100644
index 00000000000..784c5171805
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmin.py
new file mode 100644
index 00000000000..b00d2cd8d7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_color.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_color.py
new file mode 100644
index 00000000000..11da8c5d808
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "barpolar.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..6c1d240843b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_colorscale.py
new file mode 100644
index 00000000000..0e242df9fee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..1919509231a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_reversescale.py
new file mode 100644
index 00000000000..741a0e20322
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_width.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_width.py
new file mode 100644
index 00000000000..0ddce916ffe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/barpolar/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..f3f07298c70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="barpolar.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/__init__.py b/packages/python/plotly/plotly/validators/barpolar/selected/__init__.py
index 07b17d3b569..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/barpolar/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/__init__.py
@@ -1,42 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="barpolar.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="barpolar.selected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/_marker.py b/packages/python/plotly/plotly/validators/barpolar/selected/_marker.py
new file mode 100644
index 00000000000..b69dca8649f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/_marker.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="barpolar.selected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/_textfont.py b/packages/python/plotly/plotly/validators/barpolar/selected/_textfont.py
new file mode 100644
index 00000000000..01ceaa309d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="barpolar.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/barpolar/selected/marker/__init__.py
index 56a56fb028e..772f2b07352 100644
--- a/packages/python/plotly/plotly/validators/barpolar/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/marker/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="barpolar.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="barpolar.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/marker/_color.py b/packages/python/plotly/plotly/validators/barpolar/selected/marker/_color.py
new file mode 100644
index 00000000000..17b4c3d5965
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="barpolar.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/barpolar/selected/marker/_opacity.py
new file mode 100644
index 00000000000..df1f0675428
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="barpolar.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/barpolar/selected/textfont/__init__.py
index fae2fafded2..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/barpolar/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="barpolar.selected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/barpolar/selected/textfont/_color.py
new file mode 100644
index 00000000000..fae2fafded2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/selected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="barpolar.selected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/stream/__init__.py b/packages/python/plotly/plotly/validators/barpolar/stream/__init__.py
index 89c66714430..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/barpolar/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="barpolar.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="barpolar.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/barpolar/stream/_maxpoints.py
new file mode 100644
index 00000000000..03322849fdf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="barpolar.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/stream/_token.py b/packages/python/plotly/plotly/validators/barpolar/stream/_token.py
new file mode 100644
index 00000000000..bae16c69c3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="barpolar.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/__init__.py b/packages/python/plotly/plotly/validators/barpolar/unselected/__init__.py
index 2a72023fe85..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/barpolar/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/__init__.py
@@ -1,47 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="barpolar.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="barpolar.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/_marker.py b/packages/python/plotly/plotly/validators/barpolar/unselected/_marker.py
new file mode 100644
index 00000000000..0fd3603987c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="barpolar.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/_textfont.py b/packages/python/plotly/plotly/validators/barpolar/unselected/_textfont.py
new file mode 100644
index 00000000000..f4a2a04c439
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="barpolar.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/barpolar/unselected/marker/__init__.py
index af3e1dcc49f..772f2b07352 100644
--- a/packages/python/plotly/plotly/validators/barpolar/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/marker/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="barpolar.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="barpolar.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/barpolar/unselected/marker/_color.py
new file mode 100644
index 00000000000..aef67c53ea1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="barpolar.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/barpolar/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..ea9f2835bb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="barpolar.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/__init__.py
index 3ac35becaae..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="barpolar.unselected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/_color.py
new file mode 100644
index 00000000000..3ac35becaae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/barpolar/unselected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="barpolar.unselected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/__init__.py b/packages/python/plotly/plotly/validators/box/__init__.py
index f87303961f3..a6e656b3623 100644
--- a/packages/python/plotly/plotly/validators/box/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/__init__.py
@@ -1,1150 +1,152 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="box", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="box", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="box", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="box", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="box", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="box", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="box", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="box", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="box", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="box", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="box", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WhiskerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="whiskerwidth", parent_name="box", **kwargs):
-        super(WhiskerwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="box", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UpperfencesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="upperfencesrc", parent_name="box", **kwargs):
-        super(UpperfencesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UpperfenceValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="upperfence", parent_name="box", **kwargs):
-        super(UpperfenceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="box", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.box.unselected.Mar
-                ker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="box", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="box", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="box", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="box", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="box", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="box", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="box", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="box", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.box.selected.Marke
-                r` instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SdsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sdsrc", parent_name="box", **kwargs):
-        super(SdsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SdValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="sd", parent_name="box", **kwargs):
-        super(SdValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class QuartilemethodValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="quartilemethod", parent_name="box", **kwargs):
-        super(QuartilemethodValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["linear", "exclusive", "inclusive"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Q3SrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="q3src", parent_name="box", **kwargs):
-        super(Q3SrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Q3Validator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="q3", parent_name="box", **kwargs):
-        super(Q3Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Q1SrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="q1src", parent_name="box", **kwargs):
-        super(Q1SrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Q1Validator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="q1", parent_name="box", **kwargs):
-        super(Q1Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PointposValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pointpos", parent_name="box", **kwargs):
-        super(PointposValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="box", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="box", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="offsetgroup", parent_name="box", **kwargs):
-        super(OffsetgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NotchwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="notchwidth", parent_name="box", **kwargs):
-        super(NotchwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 0.5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NotchspansrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="notchspansrc", parent_name="box", **kwargs):
-        super(NotchspansrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NotchspanValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="notchspan", parent_name="box", **kwargs):
-        super(NotchspanValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NotchedValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="notched", parent_name="box", **kwargs):
-        super(NotchedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="box", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="box", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="box", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MediansrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="mediansrc", parent_name="box", **kwargs):
-        super(MediansrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MedianValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="median", parent_name="box", **kwargs):
-        super(MedianValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MeansrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="meansrc", parent_name="box", **kwargs):
-        super(MeansrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MeanValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="mean", parent_name="box", **kwargs):
-        super(MeanValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="box", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            line
-                :class:`plotly.graph_objects.box.marker.Line`
-                instance or dict with compatible properties
-            opacity
-                Sets the marker opacity.
-            outliercolor
-                Sets the color of the outlier sample points.
-            size
-                Sets the marker size (in px).
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LowerfencesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="lowerfencesrc", parent_name="box", **kwargs):
-        super(LowerfencesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LowerfenceValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lowerfence", parent_name="box", **kwargs):
-        super(LowerfenceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="box", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of line bounding the box(es).
-            width
-                Sets the width (in px) of line bounding the
-                box(es).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="box", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class JitterValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="jitter", parent_name="box", **kwargs):
-        super(JitterValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="box", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="box", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="box", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="box", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="box", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="box", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="box", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            flags=kwargs.pop("flags", ["boxes", "points"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="box", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="box", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="box", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="box", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="box", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="box", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="box", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="box", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxpointsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="boxpoints", parent_name="box", **kwargs):
-        super(BoxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["all", "outliers", "suspectedoutliers", False]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxmeanValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="boxmean", parent_name="box", **kwargs):
-        super(BoxmeanValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, "sd", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="alignmentgroup", parent_name="box", **kwargs):
-        super(AlignmentgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._width import WidthValidator
+    from ._whiskerwidth import WhiskerwidthValidator
+    from ._visible import VisibleValidator
+    from ._upperfencesrc import UpperfencesrcValidator
+    from ._upperfence import UpperfenceValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._sdsrc import SdsrcValidator
+    from ._sd import SdValidator
+    from ._quartilemethod import QuartilemethodValidator
+    from ._q3src import Q3SrcValidator
+    from ._q3 import Q3Validator
+    from ._q1src import Q1SrcValidator
+    from ._q1 import Q1Validator
+    from ._pointpos import PointposValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._offsetgroup import OffsetgroupValidator
+    from ._notchwidth import NotchwidthValidator
+    from ._notchspansrc import NotchspansrcValidator
+    from ._notchspan import NotchspanValidator
+    from ._notched import NotchedValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._mediansrc import MediansrcValidator
+    from ._median import MedianValidator
+    from ._meansrc import MeansrcValidator
+    from ._mean import MeanValidator
+    from ._marker import MarkerValidator
+    from ._lowerfencesrc import LowerfencesrcValidator
+    from ._lowerfence import LowerfenceValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._jitter import JitterValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._boxpoints import BoxpointsValidator
+    from ._boxmean import BoxmeanValidator
+    from ._alignmentgroup import AlignmentgroupValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._width.WidthValidator",
+            "._whiskerwidth.WhiskerwidthValidator",
+            "._visible.VisibleValidator",
+            "._upperfencesrc.UpperfencesrcValidator",
+            "._upperfence.UpperfenceValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._sdsrc.SdsrcValidator",
+            "._sd.SdValidator",
+            "._quartilemethod.QuartilemethodValidator",
+            "._q3src.Q3SrcValidator",
+            "._q3.Q3Validator",
+            "._q1src.Q1SrcValidator",
+            "._q1.Q1Validator",
+            "._pointpos.PointposValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._offsetgroup.OffsetgroupValidator",
+            "._notchwidth.NotchwidthValidator",
+            "._notchspansrc.NotchspansrcValidator",
+            "._notchspan.NotchspanValidator",
+            "._notched.NotchedValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._mediansrc.MediansrcValidator",
+            "._median.MedianValidator",
+            "._meansrc.MeansrcValidator",
+            "._mean.MeanValidator",
+            "._marker.MarkerValidator",
+            "._lowerfencesrc.LowerfencesrcValidator",
+            "._lowerfence.LowerfenceValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._jitter.JitterValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._boxpoints.BoxpointsValidator",
+            "._boxmean.BoxmeanValidator",
+            "._alignmentgroup.AlignmentgroupValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/_alignmentgroup.py b/packages/python/plotly/plotly/validators/box/_alignmentgroup.py
new file mode 100644
index 00000000000..a77a1caaa2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_alignmentgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="alignmentgroup", parent_name="box", **kwargs):
+        super(AlignmentgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_boxmean.py b/packages/python/plotly/plotly/validators/box/_boxmean.py
new file mode 100644
index 00000000000..05c5ccf2724
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_boxmean.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BoxmeanValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="boxmean", parent_name="box", **kwargs):
+        super(BoxmeanValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, "sd", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_boxpoints.py b/packages/python/plotly/plotly/validators/box/_boxpoints.py
new file mode 100644
index 00000000000..de7070c75cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_boxpoints.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BoxpointsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="boxpoints", parent_name="box", **kwargs):
+        super(BoxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["all", "outliers", "suspectedoutliers", False]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_customdata.py b/packages/python/plotly/plotly/validators/box/_customdata.py
new file mode 100644
index 00000000000..f41cd763f29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="box", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_customdatasrc.py b/packages/python/plotly/plotly/validators/box/_customdatasrc.py
new file mode 100644
index 00000000000..c3804e79bbe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="box", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_dx.py b/packages/python/plotly/plotly/validators/box/_dx.py
new file mode 100644
index 00000000000..6c41848232a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_dx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="box", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_dy.py b/packages/python/plotly/plotly/validators/box/_dy.py
new file mode 100644
index 00000000000..0284e018bbe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_dy.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="box", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_fillcolor.py b/packages/python/plotly/plotly/validators/box/_fillcolor.py
new file mode 100644
index 00000000000..27c68b37a52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="box", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hoverinfo.py b/packages/python/plotly/plotly/validators/box/_hoverinfo.py
new file mode 100644
index 00000000000..8ad9ad6074d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="box", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/box/_hoverinfosrc.py
new file mode 100644
index 00000000000..f170a72a42d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="box", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hoverlabel.py b/packages/python/plotly/plotly/validators/box/_hoverlabel.py
new file mode 100644
index 00000000000..726269ccfe9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="box", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hoveron.py b/packages/python/plotly/plotly/validators/box/_hoveron.py
new file mode 100644
index 00000000000..cf2517c3c84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hoveron.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="box", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            flags=kwargs.pop("flags", ["boxes", "points"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hovertemplate.py b/packages/python/plotly/plotly/validators/box/_hovertemplate.py
new file mode 100644
index 00000000000..a73d12d61fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="box", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/box/_hovertemplatesrc.py
new file mode 100644
index 00000000000..028843a91e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="box", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hovertext.py b/packages/python/plotly/plotly/validators/box/_hovertext.py
new file mode 100644
index 00000000000..93a23be23f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="box", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_hovertextsrc.py b/packages/python/plotly/plotly/validators/box/_hovertextsrc.py
new file mode 100644
index 00000000000..1f64f8035f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="box", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_ids.py b/packages/python/plotly/plotly/validators/box/_ids.py
new file mode 100644
index 00000000000..ecfdcee367f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="box", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_idssrc.py b/packages/python/plotly/plotly/validators/box/_idssrc.py
new file mode 100644
index 00000000000..cb8e8d0141a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="box", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_jitter.py b/packages/python/plotly/plotly/validators/box/_jitter.py
new file mode 100644
index 00000000000..f489ae389c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_jitter.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class JitterValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="jitter", parent_name="box", **kwargs):
+        super(JitterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_legendgroup.py b/packages/python/plotly/plotly/validators/box/_legendgroup.py
new file mode 100644
index 00000000000..ab80557279c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="box", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_line.py b/packages/python/plotly/plotly/validators/box/_line.py
new file mode 100644
index 00000000000..14bbcadb53f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_line.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="box", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of line bounding the box(es).
+            width
+                Sets the width (in px) of line bounding the
+                box(es).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_lowerfence.py b/packages/python/plotly/plotly/validators/box/_lowerfence.py
new file mode 100644
index 00000000000..04c62bd8fa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_lowerfence.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LowerfenceValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lowerfence", parent_name="box", **kwargs):
+        super(LowerfenceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_lowerfencesrc.py b/packages/python/plotly/plotly/validators/box/_lowerfencesrc.py
new file mode 100644
index 00000000000..37d0b3119af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_lowerfencesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LowerfencesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="lowerfencesrc", parent_name="box", **kwargs):
+        super(LowerfencesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_marker.py b/packages/python/plotly/plotly/validators/box/_marker.py
new file mode 100644
index 00000000000..1e236c13286
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_marker.py
@@ -0,0 +1,38 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="box", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            line
+                :class:`plotly.graph_objects.box.marker.Line`
+                instance or dict with compatible properties
+            opacity
+                Sets the marker opacity.
+            outliercolor
+                Sets the color of the outlier sample points.
+            size
+                Sets the marker size (in px).
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_mean.py b/packages/python/plotly/plotly/validators/box/_mean.py
new file mode 100644
index 00000000000..598fb73c397
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_mean.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MeanValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="mean", parent_name="box", **kwargs):
+        super(MeanValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_meansrc.py b/packages/python/plotly/plotly/validators/box/_meansrc.py
new file mode 100644
index 00000000000..8903c9aaf9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_meansrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MeansrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="meansrc", parent_name="box", **kwargs):
+        super(MeansrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_median.py b/packages/python/plotly/plotly/validators/box/_median.py
new file mode 100644
index 00000000000..e440d29418d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_median.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MedianValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="median", parent_name="box", **kwargs):
+        super(MedianValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_mediansrc.py b/packages/python/plotly/plotly/validators/box/_mediansrc.py
new file mode 100644
index 00000000000..b29453d1073
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_mediansrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MediansrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="mediansrc", parent_name="box", **kwargs):
+        super(MediansrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_meta.py b/packages/python/plotly/plotly/validators/box/_meta.py
new file mode 100644
index 00000000000..1f21821eb46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="box", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_metasrc.py b/packages/python/plotly/plotly/validators/box/_metasrc.py
new file mode 100644
index 00000000000..202a7c96cfe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="box", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_name.py b/packages/python/plotly/plotly/validators/box/_name.py
new file mode 100644
index 00000000000..d5990278092
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="box", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_notched.py b/packages/python/plotly/plotly/validators/box/_notched.py
new file mode 100644
index 00000000000..ce74948850a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_notched.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NotchedValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="notched", parent_name="box", **kwargs):
+        super(NotchedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_notchspan.py b/packages/python/plotly/plotly/validators/box/_notchspan.py
new file mode 100644
index 00000000000..ded005c6fc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_notchspan.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NotchspanValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="notchspan", parent_name="box", **kwargs):
+        super(NotchspanValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_notchspansrc.py b/packages/python/plotly/plotly/validators/box/_notchspansrc.py
new file mode 100644
index 00000000000..290db564b08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_notchspansrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NotchspansrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="notchspansrc", parent_name="box", **kwargs):
+        super(NotchspansrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_notchwidth.py b/packages/python/plotly/plotly/validators/box/_notchwidth.py
new file mode 100644
index 00000000000..b119148b92e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_notchwidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NotchwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="notchwidth", parent_name="box", **kwargs):
+        super(NotchwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 0.5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_offsetgroup.py b/packages/python/plotly/plotly/validators/box/_offsetgroup.py
new file mode 100644
index 00000000000..8b6c0083c38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_offsetgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="offsetgroup", parent_name="box", **kwargs):
+        super(OffsetgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_opacity.py b/packages/python/plotly/plotly/validators/box/_opacity.py
new file mode 100644
index 00000000000..fe5b5197c1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="box", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_orientation.py b/packages/python/plotly/plotly/validators/box/_orientation.py
new file mode 100644
index 00000000000..86a8aa97834
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="box", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_pointpos.py b/packages/python/plotly/plotly/validators/box/_pointpos.py
new file mode 100644
index 00000000000..761a002974f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_pointpos.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PointposValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pointpos", parent_name="box", **kwargs):
+        super(PointposValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_q1.py b/packages/python/plotly/plotly/validators/box/_q1.py
new file mode 100644
index 00000000000..061fc64151e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_q1.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Q1Validator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="q1", parent_name="box", **kwargs):
+        super(Q1Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_q1src.py b/packages/python/plotly/plotly/validators/box/_q1src.py
new file mode 100644
index 00000000000..a49f2582dda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_q1src.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Q1SrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="q1src", parent_name="box", **kwargs):
+        super(Q1SrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_q3.py b/packages/python/plotly/plotly/validators/box/_q3.py
new file mode 100644
index 00000000000..d9fd1d3df3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_q3.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Q3Validator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="q3", parent_name="box", **kwargs):
+        super(Q3Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_q3src.py b/packages/python/plotly/plotly/validators/box/_q3src.py
new file mode 100644
index 00000000000..fbec1f285a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_q3src.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Q3SrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="q3src", parent_name="box", **kwargs):
+        super(Q3SrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_quartilemethod.py b/packages/python/plotly/plotly/validators/box/_quartilemethod.py
new file mode 100644
index 00000000000..57d422a924c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_quartilemethod.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class QuartilemethodValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="quartilemethod", parent_name="box", **kwargs):
+        super(QuartilemethodValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["linear", "exclusive", "inclusive"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_sd.py b/packages/python/plotly/plotly/validators/box/_sd.py
new file mode 100644
index 00000000000..7b1e240400a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_sd.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SdValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="sd", parent_name="box", **kwargs):
+        super(SdValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_sdsrc.py b/packages/python/plotly/plotly/validators/box/_sdsrc.py
new file mode 100644
index 00000000000..0d95374a027
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_sdsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SdsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sdsrc", parent_name="box", **kwargs):
+        super(SdsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_selected.py b/packages/python/plotly/plotly/validators/box/_selected.py
new file mode 100644
index 00000000000..68686da534f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_selected.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="box", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.box.selected.Marke
+                r` instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_selectedpoints.py b/packages/python/plotly/plotly/validators/box/_selectedpoints.py
new file mode 100644
index 00000000000..d9fd3581444
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="box", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_showlegend.py b/packages/python/plotly/plotly/validators/box/_showlegend.py
new file mode 100644
index 00000000000..87a98f8dddf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="box", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_stream.py b/packages/python/plotly/plotly/validators/box/_stream.py
new file mode 100644
index 00000000000..f8fe6081ff7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="box", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_text.py b/packages/python/plotly/plotly/validators/box/_text.py
new file mode 100644
index 00000000000..fe17f2cc814
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="box", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_textsrc.py b/packages/python/plotly/plotly/validators/box/_textsrc.py
new file mode 100644
index 00000000000..88038aa6e1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="box", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_uid.py b/packages/python/plotly/plotly/validators/box/_uid.py
new file mode 100644
index 00000000000..3a17242162f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="box", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_uirevision.py b/packages/python/plotly/plotly/validators/box/_uirevision.py
new file mode 100644
index 00000000000..ffc3948eeac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="box", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_unselected.py b/packages/python/plotly/plotly/validators/box/_unselected.py
new file mode 100644
index 00000000000..305db528fa0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_unselected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="box", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.box.unselected.Mar
+                ker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_upperfence.py b/packages/python/plotly/plotly/validators/box/_upperfence.py
new file mode 100644
index 00000000000..3bfec0f5a57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_upperfence.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UpperfenceValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="upperfence", parent_name="box", **kwargs):
+        super(UpperfenceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_upperfencesrc.py b/packages/python/plotly/plotly/validators/box/_upperfencesrc.py
new file mode 100644
index 00000000000..f69fbf6c019
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_upperfencesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UpperfencesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="upperfencesrc", parent_name="box", **kwargs):
+        super(UpperfencesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_visible.py b/packages/python/plotly/plotly/validators/box/_visible.py
new file mode 100644
index 00000000000..abfee3d2f92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="box", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_whiskerwidth.py b/packages/python/plotly/plotly/validators/box/_whiskerwidth.py
new file mode 100644
index 00000000000..cf857e7234a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_whiskerwidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WhiskerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="whiskerwidth", parent_name="box", **kwargs):
+        super(WhiskerwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_width.py b/packages/python/plotly/plotly/validators/box/_width.py
new file mode 100644
index 00000000000..5803e1908ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="box", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_x.py b/packages/python/plotly/plotly/validators/box/_x.py
new file mode 100644
index 00000000000..77503c4d8e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="box", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_x0.py b/packages/python/plotly/plotly/validators/box/_x0.py
new file mode 100644
index 00000000000..0a24ada87bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="box", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_xaxis.py b/packages/python/plotly/plotly/validators/box/_xaxis.py
new file mode 100644
index 00000000000..7d9bc8f7fa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="box", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_xcalendar.py b/packages/python/plotly/plotly/validators/box/_xcalendar.py
new file mode 100644
index 00000000000..b05de9619ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="box", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_xsrc.py b/packages/python/plotly/plotly/validators/box/_xsrc.py
new file mode 100644
index 00000000000..27a1567fad5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="box", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_y.py b/packages/python/plotly/plotly/validators/box/_y.py
new file mode 100644
index 00000000000..af10f900900
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="box", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_y0.py b/packages/python/plotly/plotly/validators/box/_y0.py
new file mode 100644
index 00000000000..72822c5e17f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="box", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_yaxis.py b/packages/python/plotly/plotly/validators/box/_yaxis.py
new file mode 100644
index 00000000000..4da8cac1afb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="box", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_ycalendar.py b/packages/python/plotly/plotly/validators/box/_ycalendar.py
new file mode 100644
index 00000000000..c89071bb527
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="box", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/_ysrc.py b/packages/python/plotly/plotly/validators/box/_ysrc.py
new file mode 100644
index 00000000000..c948461e68b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="box", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/box/hoverlabel/__init__.py
index 0062e61c3e2..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/box/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/__init__.py
@@ -1,174 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="box.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="box.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="box.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="box.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="box.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="box.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="box.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="box.hoverlabel", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="box.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_align.py
new file mode 100644
index 00000000000..b15c60b4e1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="box.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..75ae1f84f2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="box.hoverlabel", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..bc9572ac94c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="box.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..98202517ae0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="box.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..1722fa713be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="box.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..e7bb945afb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="box.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_font.py
new file mode 100644
index 00000000000..06cdf80ccf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="box.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..ade18267cfc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="box.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..4c93508082c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="box.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/__init__.py
index 8eaac4a4b67..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/box/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="box.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="box.hoverlabel.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="box.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="box.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="box.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="box.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..783dc0c55c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="box.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..02ef71d95f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="box.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..e468ed4107a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="box.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..e22807d8d85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="box.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..84ef6b6a7b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="box.hoverlabel.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..065d35b9295
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="box.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/line/__init__.py b/packages/python/plotly/plotly/validators/box/line/__init__.py
index 7886f024a27..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/box/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/line/__init__.py
@@ -1,27 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="box.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="box.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/box/line/_color.py b/packages/python/plotly/plotly/validators/box/line/_color.py
new file mode 100644
index 00000000000..709dad6459b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="box.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/line/_width.py b/packages/python/plotly/plotly/validators/box/line/_width.py
new file mode 100644
index 00000000000..26ee0f4cd94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="box.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/__init__.py b/packages/python/plotly/plotly/validators/box/marker/__init__.py
index 3676b0b4adf..c79e8fe46e2 100644
--- a/packages/python/plotly/plotly/validators/box/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/marker/__init__.py
@@ -1,398 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="box.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="box.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="outliercolor", parent_name="box.marker", **kwargs):
-        super(OutliercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="box.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="box.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            outliercolor
-                Sets the border line color of the outlier
-                sample points. Defaults to marker.color
-            outlierwidth
-                Sets the border line width (in px) of the
-                outlier sample points.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="box.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbol import SymbolValidator
+    from ._size import SizeValidator
+    from ._outliercolor import OutliercolorValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbol.SymbolValidator",
+            "._size.SizeValidator",
+            "._outliercolor.OutliercolorValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/marker/_color.py b/packages/python/plotly/plotly/validators/box/marker/_color.py
new file mode 100644
index 00000000000..f47eab51e47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="box.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/_line.py b/packages/python/plotly/plotly/validators/box/marker/_line.py
new file mode 100644
index 00000000000..4c29919ccce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/_line.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="box.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            outliercolor
+                Sets the border line color of the outlier
+                sample points. Defaults to marker.color
+            outlierwidth
+                Sets the border line width (in px) of the
+                outlier sample points.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/_opacity.py b/packages/python/plotly/plotly/validators/box/marker/_opacity.py
new file mode 100644
index 00000000000..723024fc35e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="box.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/_outliercolor.py b/packages/python/plotly/plotly/validators/box/marker/_outliercolor.py
new file mode 100644
index 00000000000..a226eab4c4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/_outliercolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="outliercolor", parent_name="box.marker", **kwargs):
+        super(OutliercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/_size.py b/packages/python/plotly/plotly/validators/box/marker/_size.py
new file mode 100644
index 00000000000..07177815219
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="box.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/_symbol.py b/packages/python/plotly/plotly/validators/box/marker/_symbol.py
new file mode 100644
index 00000000000..ed99cd6bedc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="box.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/line/__init__.py b/packages/python/plotly/plotly/validators/box/marker/line/__init__.py
index 5fa1798689f..f2cb10d010e 100644
--- a/packages/python/plotly/plotly/validators/box/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/marker/line/__init__.py
@@ -1,62 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="box.marker.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlierwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlierwidth", parent_name="box.marker.line", **kwargs
-    ):
-        super(OutlierwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outliercolor", parent_name="box.marker.line", **kwargs
-    ):
-        super(OutliercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="box.marker.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._outlierwidth import OutlierwidthValidator
+    from ._outliercolor import OutliercolorValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._outlierwidth.OutlierwidthValidator",
+            "._outliercolor.OutliercolorValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/marker/line/_color.py b/packages/python/plotly/plotly/validators/box/marker/line/_color.py
new file mode 100644
index 00000000000..4a047398530
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="box.marker.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/line/_outliercolor.py b/packages/python/plotly/plotly/validators/box/marker/line/_outliercolor.py
new file mode 100644
index 00000000000..6d3dd0e9278
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/line/_outliercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outliercolor", parent_name="box.marker.line", **kwargs
+    ):
+        super(OutliercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/line/_outlierwidth.py b/packages/python/plotly/plotly/validators/box/marker/line/_outlierwidth.py
new file mode 100644
index 00000000000..5c2b9a9ecdb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/line/_outlierwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlierwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlierwidth", parent_name="box.marker.line", **kwargs
+    ):
+        super(OutlierwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/marker/line/_width.py b/packages/python/plotly/plotly/validators/box/marker/line/_width.py
new file mode 100644
index 00000000000..071f9b62c01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/marker/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="box.marker.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/selected/__init__.py b/packages/python/plotly/plotly/validators/box/selected/__init__.py
index 2471ec83aed..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/box/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/selected/__init__.py
@@ -1,22 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="box.selected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/box/selected/_marker.py b/packages/python/plotly/plotly/validators/box/selected/_marker.py
new file mode 100644
index 00000000000..2471ec83aed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/selected/_marker.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="box.selected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/box/selected/marker/__init__.py
index 405168af7a8..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/box/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/selected/marker/__init__.py
@@ -1,47 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="box.selected.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="box.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="box.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/selected/marker/_color.py b/packages/python/plotly/plotly/validators/box/selected/marker/_color.py
new file mode 100644
index 00000000000..8a4d47272a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="box.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/box/selected/marker/_opacity.py
new file mode 100644
index 00000000000..35aae56f406
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="box.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/selected/marker/_size.py b/packages/python/plotly/plotly/validators/box/selected/marker/_size.py
new file mode 100644
index 00000000000..ad1e48719d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/selected/marker/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="box.selected.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/stream/__init__.py b/packages/python/plotly/plotly/validators/box/stream/__init__.py
index 870615edf4b..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/box/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="box.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="box.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/box/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/box/stream/_maxpoints.py
new file mode 100644
index 00000000000..afef2c6937b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="box.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/stream/_token.py b/packages/python/plotly/plotly/validators/box/stream/_token.py
new file mode 100644
index 00000000000..11f7ba3705b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="box.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/unselected/__init__.py b/packages/python/plotly/plotly/validators/box/unselected/__init__.py
index d13778126ff..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/box/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/unselected/__init__.py
@@ -1,25 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="box.unselected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/box/unselected/_marker.py b/packages/python/plotly/plotly/validators/box/unselected/_marker.py
new file mode 100644
index 00000000000..d13778126ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/unselected/_marker.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="box.unselected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/box/unselected/marker/__init__.py
index a66317e5739..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/box/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/box/unselected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="box.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="box.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="box.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/box/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/box/unselected/marker/_color.py
new file mode 100644
index 00000000000..f7964c20979
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="box.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/box/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..8baf6a23446
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="box.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/box/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/box/unselected/marker/_size.py
new file mode 100644
index 00000000000..1c6156c2a34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/box/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="box.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/__init__.py b/packages/python/plotly/plotly/validators/candlestick/__init__.py
index 037e8fd16e7..17d79bc8b73 100644
--- a/packages/python/plotly/plotly/validators/candlestick/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/__init__.py
@@ -1,673 +1,90 @@
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="candlestick", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="candlestick", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="candlestick", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="candlestick", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="candlestick", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WhiskerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="whiskerwidth", parent_name="candlestick", **kwargs):
-        super(WhiskerwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="candlestick", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="candlestick", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="candlestick", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="candlestick", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="candlestick", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="candlestick", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="candlestick", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="candlestick", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpensrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="opensrc", parent_name="candlestick", **kwargs):
-        super(OpensrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpenValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="open", parent_name="candlestick", **kwargs):
-        super(OpenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="candlestick", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="candlestick", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="candlestick", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="candlestick", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="lowsrc", parent_name="candlestick", **kwargs):
-        super(LowsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LowValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="low", parent_name="candlestick", **kwargs):
-        super(LowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="candlestick", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            width
-                Sets the width (in px) of line bounding the
-                box(es). Note that this style setting can also
-                be set per direction via
-                `increasing.line.width` and
-                `decreasing.line.width`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="candlestick", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="increasing", parent_name="candlestick", **kwargs):
-        super(IncreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Increasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            line
-                :class:`plotly.graph_objects.candlestick.increa
-                sing.Line` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="candlestick", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="candlestick", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="candlestick", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="candlestick", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="candlestick", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-            split
-                Show hover information (open, close, high, low)
-                in separate labels.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="candlestick", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="candlestick", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="highsrc", parent_name="candlestick", **kwargs):
-        super(HighsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="high", parent_name="candlestick", **kwargs):
-        super(HighValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="decreasing", parent_name="candlestick", **kwargs):
-        super(DecreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fillcolor
-                Sets the fill color. Defaults to a half-
-                transparent variant of the line color, marker
-                color, or marker line color, whichever is
-                available.
-            line
-                :class:`plotly.graph_objects.candlestick.decrea
-                sing.Line` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="candlestick", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="candlestick", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ClosesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="closesrc", parent_name="candlestick", **kwargs):
-        super(ClosesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CloseValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="close", parent_name="candlestick", **kwargs):
-        super(CloseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxis import YaxisValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._whiskerwidth import WhiskerwidthValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._opensrc import OpensrcValidator
+    from ._open import OpenValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lowsrc import LowsrcValidator
+    from ._low import LowValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._increasing import IncreasingValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._highsrc import HighsrcValidator
+    from ._high import HighValidator
+    from ._decreasing import DecreasingValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._closesrc import ClosesrcValidator
+    from ._close import CloseValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yaxis.YaxisValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._whiskerwidth.WhiskerwidthValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._opensrc.OpensrcValidator",
+            "._open.OpenValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lowsrc.LowsrcValidator",
+            "._low.LowValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._increasing.IncreasingValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._highsrc.HighsrcValidator",
+            "._high.HighValidator",
+            "._decreasing.DecreasingValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._closesrc.ClosesrcValidator",
+            "._close.CloseValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_close.py b/packages/python/plotly/plotly/validators/candlestick/_close.py
new file mode 100644
index 00000000000..bf73bb2cdc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_close.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CloseValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="close", parent_name="candlestick", **kwargs):
+        super(CloseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_closesrc.py b/packages/python/plotly/plotly/validators/candlestick/_closesrc.py
new file mode 100644
index 00000000000..9bfc5222dce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_closesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ClosesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="closesrc", parent_name="candlestick", **kwargs):
+        super(ClosesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_customdata.py b/packages/python/plotly/plotly/validators/candlestick/_customdata.py
new file mode 100644
index 00000000000..a6731ec0afc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="candlestick", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_customdatasrc.py b/packages/python/plotly/plotly/validators/candlestick/_customdatasrc.py
new file mode 100644
index 00000000000..764623720dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="candlestick", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_decreasing.py b/packages/python/plotly/plotly/validators/candlestick/_decreasing.py
new file mode 100644
index 00000000000..3b66e9ac41c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_decreasing.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="decreasing", parent_name="candlestick", **kwargs):
+        super(DecreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            line
+                :class:`plotly.graph_objects.candlestick.decrea
+                sing.Line` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_high.py b/packages/python/plotly/plotly/validators/candlestick/_high.py
new file mode 100644
index 00000000000..7827ad7175c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_high.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HighValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="high", parent_name="candlestick", **kwargs):
+        super(HighValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_highsrc.py b/packages/python/plotly/plotly/validators/candlestick/_highsrc.py
new file mode 100644
index 00000000000..5a4542042a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_highsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HighsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="highsrc", parent_name="candlestick", **kwargs):
+        super(HighsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_hoverinfo.py b/packages/python/plotly/plotly/validators/candlestick/_hoverinfo.py
new file mode 100644
index 00000000000..664b30d681f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="candlestick", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/candlestick/_hoverinfosrc.py
new file mode 100644
index 00000000000..04b3e931562
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="candlestick", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_hoverlabel.py b/packages/python/plotly/plotly/validators/candlestick/_hoverlabel.py
new file mode 100644
index 00000000000..bbbeda60509
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_hoverlabel.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="candlestick", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+            split
+                Show hover information (open, close, high, low)
+                in separate labels.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_hovertext.py b/packages/python/plotly/plotly/validators/candlestick/_hovertext.py
new file mode 100644
index 00000000000..00b67fc7419
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="candlestick", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_hovertextsrc.py b/packages/python/plotly/plotly/validators/candlestick/_hovertextsrc.py
new file mode 100644
index 00000000000..fda431d1fff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="candlestick", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_ids.py b/packages/python/plotly/plotly/validators/candlestick/_ids.py
new file mode 100644
index 00000000000..649099e3a01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="candlestick", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_idssrc.py b/packages/python/plotly/plotly/validators/candlestick/_idssrc.py
new file mode 100644
index 00000000000..0d95acf7df0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="candlestick", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_increasing.py b/packages/python/plotly/plotly/validators/candlestick/_increasing.py
new file mode 100644
index 00000000000..d2007ee3495
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_increasing.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="increasing", parent_name="candlestick", **kwargs):
+        super(IncreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Increasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fillcolor
+                Sets the fill color. Defaults to a half-
+                transparent variant of the line color, marker
+                color, or marker line color, whichever is
+                available.
+            line
+                :class:`plotly.graph_objects.candlestick.increa
+                sing.Line` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_legendgroup.py b/packages/python/plotly/plotly/validators/candlestick/_legendgroup.py
new file mode 100644
index 00000000000..d36f9b656b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="candlestick", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_line.py b/packages/python/plotly/plotly/validators/candlestick/_line.py
new file mode 100644
index 00000000000..76e6fdb93e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_line.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="candlestick", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            width
+                Sets the width (in px) of line bounding the
+                box(es). Note that this style setting can also
+                be set per direction via
+                `increasing.line.width` and
+                `decreasing.line.width`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_low.py b/packages/python/plotly/plotly/validators/candlestick/_low.py
new file mode 100644
index 00000000000..fd4e9dccb4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_low.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LowValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="low", parent_name="candlestick", **kwargs):
+        super(LowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_lowsrc.py b/packages/python/plotly/plotly/validators/candlestick/_lowsrc.py
new file mode 100644
index 00000000000..8659fdb261a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_lowsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="lowsrc", parent_name="candlestick", **kwargs):
+        super(LowsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_meta.py b/packages/python/plotly/plotly/validators/candlestick/_meta.py
new file mode 100644
index 00000000000..5489a00f76e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="candlestick", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_metasrc.py b/packages/python/plotly/plotly/validators/candlestick/_metasrc.py
new file mode 100644
index 00000000000..59c67009a13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="candlestick", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_name.py b/packages/python/plotly/plotly/validators/candlestick/_name.py
new file mode 100644
index 00000000000..2d41c0acc25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="candlestick", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_opacity.py b/packages/python/plotly/plotly/validators/candlestick/_opacity.py
new file mode 100644
index 00000000000..7da695fd6f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="candlestick", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_open.py b/packages/python/plotly/plotly/validators/candlestick/_open.py
new file mode 100644
index 00000000000..9ae97fb20fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_open.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpenValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="open", parent_name="candlestick", **kwargs):
+        super(OpenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_opensrc.py b/packages/python/plotly/plotly/validators/candlestick/_opensrc.py
new file mode 100644
index 00000000000..9e8eb71f18a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_opensrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpensrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="opensrc", parent_name="candlestick", **kwargs):
+        super(OpensrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_selectedpoints.py b/packages/python/plotly/plotly/validators/candlestick/_selectedpoints.py
new file mode 100644
index 00000000000..2659435e4ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="candlestick", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_showlegend.py b/packages/python/plotly/plotly/validators/candlestick/_showlegend.py
new file mode 100644
index 00000000000..e35510ff31a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="candlestick", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_stream.py b/packages/python/plotly/plotly/validators/candlestick/_stream.py
new file mode 100644
index 00000000000..4f3211ce618
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="candlestick", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_text.py b/packages/python/plotly/plotly/validators/candlestick/_text.py
new file mode 100644
index 00000000000..fd61c8af270
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="candlestick", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_textsrc.py b/packages/python/plotly/plotly/validators/candlestick/_textsrc.py
new file mode 100644
index 00000000000..a5301b3709d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="candlestick", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_uid.py b/packages/python/plotly/plotly/validators/candlestick/_uid.py
new file mode 100644
index 00000000000..b5668ad7ff1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="candlestick", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_uirevision.py b/packages/python/plotly/plotly/validators/candlestick/_uirevision.py
new file mode 100644
index 00000000000..235b9ae6399
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="candlestick", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_visible.py b/packages/python/plotly/plotly/validators/candlestick/_visible.py
new file mode 100644
index 00000000000..c636e1781db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="candlestick", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_whiskerwidth.py b/packages/python/plotly/plotly/validators/candlestick/_whiskerwidth.py
new file mode 100644
index 00000000000..38b2567bf8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_whiskerwidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WhiskerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="whiskerwidth", parent_name="candlestick", **kwargs):
+        super(WhiskerwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_x.py b/packages/python/plotly/plotly/validators/candlestick/_x.py
new file mode 100644
index 00000000000..46b53ad5869
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="candlestick", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_xaxis.py b/packages/python/plotly/plotly/validators/candlestick/_xaxis.py
new file mode 100644
index 00000000000..ac72b2935ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="candlestick", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_xcalendar.py b/packages/python/plotly/plotly/validators/candlestick/_xcalendar.py
new file mode 100644
index 00000000000..b1bbbc295ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="candlestick", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_xsrc.py b/packages/python/plotly/plotly/validators/candlestick/_xsrc.py
new file mode 100644
index 00000000000..e07b05fcebb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="candlestick", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/_yaxis.py b/packages/python/plotly/plotly/validators/candlestick/_yaxis.py
new file mode 100644
index 00000000000..b65057377f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="candlestick", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/decreasing/__init__.py b/packages/python/plotly/plotly/validators/candlestick/decreasing/__init__.py
index d20f6b66104..dd52f0bed3d 100644
--- a/packages/python/plotly/plotly/validators/candlestick/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/decreasing/__init__.py
@@ -1,39 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._fillcolor import FillcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="candlestick.decreasing", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of line bounding the box(es).
-            width
-                Sets the width (in px) of line bounding the
-                box(es).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="fillcolor", parent_name="candlestick.decreasing", **kwargs
-    ):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator", "._fillcolor.FillcolorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/decreasing/_fillcolor.py b/packages/python/plotly/plotly/validators/candlestick/decreasing/_fillcolor.py
new file mode 100644
index 00000000000..e8a6bb39770
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/decreasing/_fillcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="fillcolor", parent_name="candlestick.decreasing", **kwargs
+    ):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/decreasing/_line.py b/packages/python/plotly/plotly/validators/candlestick/decreasing/_line.py
new file mode 100644
index 00000000000..79a34ade161
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/decreasing/_line.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="candlestick.decreasing", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of line bounding the box(es).
+            width
+                Sets the width (in px) of line bounding the
+                box(es).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/decreasing/line/__init__.py b/packages/python/plotly/plotly/validators/candlestick/decreasing/line/__init__.py
index befb9a59f65..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/candlestick/decreasing/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/decreasing/line/__init__.py
@@ -1,31 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="candlestick.decreasing.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="candlestick.decreasing.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/decreasing/line/_color.py b/packages/python/plotly/plotly/validators/candlestick/decreasing/line/_color.py
new file mode 100644
index 00000000000..defb5f37bbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/decreasing/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="candlestick.decreasing.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/decreasing/line/_width.py b/packages/python/plotly/plotly/validators/candlestick/decreasing/line/_width.py
new file mode 100644
index 00000000000..7ec12f513d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/decreasing/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="candlestick.decreasing.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/__init__.py
index d5e9fe3cbc5..bfe4e0a5a95 100644
--- a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/__init__.py
@@ -1,204 +1,32 @@
-import _plotly_utils.basevalidators
-
-
-class SplitValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="split", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(SplitValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="candlestick.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="candlestick.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="candlestick.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._split import SplitValidator
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._split.SplitValidator",
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_align.py
new file mode 100644
index 00000000000..02d0466722c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..35093f962dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..a1f135bb3c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..5e04c9410dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..eefdd1dea97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..8321d894cf2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="candlestick.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_font.py
new file mode 100644
index 00000000000..8ad246a0e97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..c74eed077da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..62fa475a18b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="candlestick.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_split.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_split.py
new file mode 100644
index 00000000000..9117f5b5796
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/_split.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SplitValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="split", parent_name="candlestick.hoverlabel", **kwargs
+    ):
+        super(SplitValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/__init__.py
index 332023deba9..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/__init__.py
@@ -1,106 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="candlestick.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="candlestick.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="candlestick.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="candlestick.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="candlestick.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="candlestick.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..a0a6cf133c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="candlestick.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..776709ef2c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="candlestick.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..3279d1676b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="candlestick.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..5358c61e523
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="candlestick.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..367fc8ad293
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="candlestick.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..578f502e0ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="candlestick.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/increasing/__init__.py b/packages/python/plotly/plotly/validators/candlestick/increasing/__init__.py
index d3f783a3b13..dd52f0bed3d 100644
--- a/packages/python/plotly/plotly/validators/candlestick/increasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/increasing/__init__.py
@@ -1,39 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._fillcolor import FillcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="candlestick.increasing", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of line bounding the box(es).
-            width
-                Sets the width (in px) of line bounding the
-                box(es).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="fillcolor", parent_name="candlestick.increasing", **kwargs
-    ):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator", "._fillcolor.FillcolorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/increasing/_fillcolor.py b/packages/python/plotly/plotly/validators/candlestick/increasing/_fillcolor.py
new file mode 100644
index 00000000000..78403ea3218
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/increasing/_fillcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="fillcolor", parent_name="candlestick.increasing", **kwargs
+    ):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/increasing/_line.py b/packages/python/plotly/plotly/validators/candlestick/increasing/_line.py
new file mode 100644
index 00000000000..2278814b401
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/increasing/_line.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="candlestick.increasing", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of line bounding the box(es).
+            width
+                Sets the width (in px) of line bounding the
+                box(es).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/increasing/line/__init__.py b/packages/python/plotly/plotly/validators/candlestick/increasing/line/__init__.py
index 541c3bbfcb8..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/candlestick/increasing/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/increasing/line/__init__.py
@@ -1,31 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="candlestick.increasing.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="candlestick.increasing.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/increasing/line/_color.py b/packages/python/plotly/plotly/validators/candlestick/increasing/line/_color.py
new file mode 100644
index 00000000000..581503de416
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/increasing/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="candlestick.increasing.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/increasing/line/_width.py b/packages/python/plotly/plotly/validators/candlestick/increasing/line/_width.py
new file mode 100644
index 00000000000..dcb5fe786d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/increasing/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="candlestick.increasing.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/line/__init__.py b/packages/python/plotly/plotly/validators/candlestick/line/__init__.py
index 36d99672eff..37bbb254042 100644
--- a/packages/python/plotly/plotly/validators/candlestick/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/line/__init__.py
@@ -1,13 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="candlestick.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/line/_width.py b/packages/python/plotly/plotly/validators/candlestick/line/_width.py
new file mode 100644
index 00000000000..36d99672eff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="candlestick.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/stream/__init__.py b/packages/python/plotly/plotly/validators/candlestick/stream/__init__.py
index bbb6bd8a93d..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/candlestick/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/candlestick/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="candlestick.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="candlestick.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/candlestick/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/candlestick/stream/_maxpoints.py
new file mode 100644
index 00000000000..5e75f6faa4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="candlestick.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/candlestick/stream/_token.py b/packages/python/plotly/plotly/validators/candlestick/stream/_token.py
new file mode 100644
index 00000000000..e6ca896372d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/candlestick/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="candlestick.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/__init__.py b/packages/python/plotly/plotly/validators/carpet/__init__.py
index 7d88750d711..152d23d10c2 100644
--- a/packages/python/plotly/plotly/validators/carpet/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/__init__.py
@@ -1,922 +1,76 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="carpet", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="carpet", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="carpet", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="carpet", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="carpet", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="carpet", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="carpet", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="carpet", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="carpet", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="carpet", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="carpet", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="carpet", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="carpet", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="carpet", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="carpet", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="carpet", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="carpet", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DbValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="db", parent_name="carpet", **kwargs):
-        super(DbValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DaValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="da", parent_name="carpet", **kwargs):
-        super(DaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="carpet", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="carpet", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="carpet", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CheaterslopeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cheaterslope", parent_name="carpet", **kwargs):
-        super(CheaterslopeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="carpet", parent_name="carpet", **kwargs):
-        super(CarpetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="bsrc", parent_name="carpet", **kwargs):
-        super(BsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="baxis", parent_name="carpet", **kwargs):
-        super(BaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Baxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            arraydtick
-                The stride between grid lines along the axis
-            arraytick0
-                The starting index of grid lines along the axis
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`.
-            cheatertype
-
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                The stride between grid lines along the axis
-            endline
-                Determines whether or not a line is drawn at
-                along the final value of this axis. If True,
-                the end line is drawn on top of the grid lines.
-            endlinecolor
-                Sets the line color of the end line.
-            endlinewidth
-                Sets the width (in px) of the end line.
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            fixedrange
-                Determines whether or not this axis is zoom-
-                able. If true, then zoom is disabled.
-            gridcolor
-                Sets the axis line color.
-            gridwidth
-                Sets the width (in px) of the axis line.
-            labelpadding
-                Extra padding between label and the axis
-            labelprefix
-                Sets a axis label prefix.
-            labelsuffix
-                Sets a axis label suffix.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            minorgridcolor
-                Sets the color of the grid lines.
-            minorgridcount
-                Sets the number of minor grid ticks per major
-                grid tick
-            minorgridwidth
-                Sets the width (in px) of the grid lines.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether axis labels are drawn on the
-                low side, the high side, both, or neither side
-                of the axis.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            smoothing
-
-            startline
-                Determines whether or not a line is drawn at
-                along the starting value of this axis. If True,
-                the start line is drawn on top of the grid
-                lines.
-            startlinecolor
-                Sets the line color of the start line.
-            startlinewidth
-                Sets the width (in px) of the start line.
-            tick0
-                The starting index of grid lines along the axis
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:  We add one item to d3's
-                date formatter: "%{n}f" for fractional seconds
-                with n digits. For example, *2016-10-13
-                09:15:23.456* with tickformat "%H~%M~%S.%2f"
-                would display "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.carpet.
-                baxis.Tickformatstop` instances or dicts with
-                compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.carpet.baxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of carpet.baxis.tickformatstops
-            tickmode
-
-            tickprefix
-                Sets a tick label prefix.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            title
-                :class:`plotly.graph_objects.carpet.baxis.Title
-                ` instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use carpet.baxis.title.font
-                instead. Sets this axis' title font. Note that
-                the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleoffset
-                Deprecated: Please use
-                carpet.baxis.title.offset instead. An
-                additional amount by which to offset the title
-                from the tick labels, given in pixels. Note
-                that this used to be set by the now deprecated
-                `titleoffset` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class B0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="b0", parent_name="carpet", **kwargs):
-        super(B0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="b", parent_name="carpet", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="asrc", parent_name="carpet", **kwargs):
-        super(AsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="aaxis", parent_name="carpet", **kwargs):
-        super(AaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Aaxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            arraydtick
-                The stride between grid lines along the axis
-            arraytick0
-                The starting index of grid lines along the axis
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`.
-            cheatertype
-
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                The stride between grid lines along the axis
-            endline
-                Determines whether or not a line is drawn at
-                along the final value of this axis. If True,
-                the end line is drawn on top of the grid lines.
-            endlinecolor
-                Sets the line color of the end line.
-            endlinewidth
-                Sets the width (in px) of the end line.
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            fixedrange
-                Determines whether or not this axis is zoom-
-                able. If true, then zoom is disabled.
-            gridcolor
-                Sets the axis line color.
-            gridwidth
-                Sets the width (in px) of the axis line.
-            labelpadding
-                Extra padding between label and the axis
-            labelprefix
-                Sets a axis label prefix.
-            labelsuffix
-                Sets a axis label suffix.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            minorgridcolor
-                Sets the color of the grid lines.
-            minorgridcount
-                Sets the number of minor grid ticks per major
-                grid tick
-            minorgridwidth
-                Sets the width (in px) of the grid lines.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether axis labels are drawn on the
-                low side, the high side, both, or neither side
-                of the axis.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            smoothing
-
-            startline
-                Determines whether or not a line is drawn at
-                along the starting value of this axis. If True,
-                the start line is drawn on top of the grid
-                lines.
-            startlinecolor
-                Sets the line color of the start line.
-            startlinewidth
-                Sets the width (in px) of the start line.
-            tick0
-                The starting index of grid lines along the axis
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:  We add one item to d3's
-                date formatter: "%{n}f" for fractional seconds
-                with n digits. For example, *2016-10-13
-                09:15:23.456* with tickformat "%H~%M~%S.%2f"
-                would display "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.carpet.
-                aaxis.Tickformatstop` instances or dicts with
-                compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.carpet.aaxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of carpet.aaxis.tickformatstops
-            tickmode
-
-            tickprefix
-                Sets a tick label prefix.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            title
-                :class:`plotly.graph_objects.carpet.aaxis.Title
-                ` instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use carpet.aaxis.title.font
-                instead. Sets this axis' title font. Note that
-                the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleoffset
-                Deprecated: Please use
-                carpet.aaxis.title.offset instead. An
-                additional amount by which to offset the title
-                from the tick labels, given in pixels. Note
-                that this used to be set by the now deprecated
-                `titleoffset` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class A0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="a0", parent_name="carpet", **kwargs):
-        super(A0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="a", parent_name="carpet", **kwargs):
-        super(AValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._yaxis import YaxisValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._stream import StreamValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._font import FontValidator
+    from ._db import DbValidator
+    from ._da import DaValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._color import ColorValidator
+    from ._cheaterslope import CheaterslopeValidator
+    from ._carpet import CarpetValidator
+    from ._bsrc import BsrcValidator
+    from ._baxis import BaxisValidator
+    from ._b0 import B0Validator
+    from ._b import BValidator
+    from ._asrc import AsrcValidator
+    from ._aaxis import AaxisValidator
+    from ._a0 import A0Validator
+    from ._a import AValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._yaxis.YaxisValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._stream.StreamValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._font.FontValidator",
+            "._db.DbValidator",
+            "._da.DaValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._color.ColorValidator",
+            "._cheaterslope.CheaterslopeValidator",
+            "._carpet.CarpetValidator",
+            "._bsrc.BsrcValidator",
+            "._baxis.BaxisValidator",
+            "._b0.B0Validator",
+            "._b.BValidator",
+            "._asrc.AsrcValidator",
+            "._aaxis.AaxisValidator",
+            "._a0.A0Validator",
+            "._a.AValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/_a.py b/packages/python/plotly/plotly/validators/carpet/_a.py
new file mode 100644
index 00000000000..32ed344192b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_a.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="a", parent_name="carpet", **kwargs):
+        super(AValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_a0.py b/packages/python/plotly/plotly/validators/carpet/_a0.py
new file mode 100644
index 00000000000..41bdca7f357
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_a0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class A0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="a0", parent_name="carpet", **kwargs):
+        super(A0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_aaxis.py b/packages/python/plotly/plotly/validators/carpet/_aaxis.py
new file mode 100644
index 00000000000..191000b8188
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_aaxis.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class AaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="aaxis", parent_name="carpet", **kwargs):
+        super(AaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Aaxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            arraydtick
+                The stride between grid lines along the axis
+            arraytick0
+                The starting index of grid lines along the axis
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`.
+            cheatertype
+
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                The stride between grid lines along the axis
+            endline
+                Determines whether or not a line is drawn at
+                along the final value of this axis. If True,
+                the end line is drawn on top of the grid lines.
+            endlinecolor
+                Sets the line color of the end line.
+            endlinewidth
+                Sets the width (in px) of the end line.
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            fixedrange
+                Determines whether or not this axis is zoom-
+                able. If true, then zoom is disabled.
+            gridcolor
+                Sets the axis line color.
+            gridwidth
+                Sets the width (in px) of the axis line.
+            labelpadding
+                Extra padding between label and the axis
+            labelprefix
+                Sets a axis label prefix.
+            labelsuffix
+                Sets a axis label suffix.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            minorgridcolor
+                Sets the color of the grid lines.
+            minorgridcount
+                Sets the number of minor grid ticks per major
+                grid tick
+            minorgridwidth
+                Sets the width (in px) of the grid lines.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether axis labels are drawn on the
+                low side, the high side, both, or neither side
+                of the axis.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            smoothing
+
+            startline
+                Determines whether or not a line is drawn at
+                along the starting value of this axis. If True,
+                the start line is drawn on top of the grid
+                lines.
+            startlinecolor
+                Sets the line color of the start line.
+            startlinewidth
+                Sets the width (in px) of the start line.
+            tick0
+                The starting index of grid lines along the axis
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:  We add one item to d3's
+                date formatter: "%{n}f" for fractional seconds
+                with n digits. For example, *2016-10-13
+                09:15:23.456* with tickformat "%H~%M~%S.%2f"
+                would display "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.carpet.
+                aaxis.Tickformatstop` instances or dicts with
+                compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.carpet.aaxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of carpet.aaxis.tickformatstops
+            tickmode
+
+            tickprefix
+                Sets a tick label prefix.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            title
+                :class:`plotly.graph_objects.carpet.aaxis.Title
+                ` instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use carpet.aaxis.title.font
+                instead. Sets this axis' title font. Note that
+                the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleoffset
+                Deprecated: Please use
+                carpet.aaxis.title.offset instead. An
+                additional amount by which to offset the title
+                from the tick labels, given in pixels. Note
+                that this used to be set by the now deprecated
+                `titleoffset` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_asrc.py b/packages/python/plotly/plotly/validators/carpet/_asrc.py
new file mode 100644
index 00000000000..02058b53184
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_asrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="asrc", parent_name="carpet", **kwargs):
+        super(AsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_b.py b/packages/python/plotly/plotly/validators/carpet/_b.py
new file mode 100644
index 00000000000..f6c85f18d53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_b.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="b", parent_name="carpet", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_b0.py b/packages/python/plotly/plotly/validators/carpet/_b0.py
new file mode 100644
index 00000000000..7a501853e84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_b0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class B0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="b0", parent_name="carpet", **kwargs):
+        super(B0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_baxis.py b/packages/python/plotly/plotly/validators/carpet/_baxis.py
new file mode 100644
index 00000000000..993131d2b84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_baxis.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class BaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="baxis", parent_name="carpet", **kwargs):
+        super(BaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Baxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            arraydtick
+                The stride between grid lines along the axis
+            arraytick0
+                The starting index of grid lines along the axis
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`.
+            cheatertype
+
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                The stride between grid lines along the axis
+            endline
+                Determines whether or not a line is drawn at
+                along the final value of this axis. If True,
+                the end line is drawn on top of the grid lines.
+            endlinecolor
+                Sets the line color of the end line.
+            endlinewidth
+                Sets the width (in px) of the end line.
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            fixedrange
+                Determines whether or not this axis is zoom-
+                able. If true, then zoom is disabled.
+            gridcolor
+                Sets the axis line color.
+            gridwidth
+                Sets the width (in px) of the axis line.
+            labelpadding
+                Extra padding between label and the axis
+            labelprefix
+                Sets a axis label prefix.
+            labelsuffix
+                Sets a axis label suffix.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            minorgridcolor
+                Sets the color of the grid lines.
+            minorgridcount
+                Sets the number of minor grid ticks per major
+                grid tick
+            minorgridwidth
+                Sets the width (in px) of the grid lines.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether axis labels are drawn on the
+                low side, the high side, both, or neither side
+                of the axis.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            smoothing
+
+            startline
+                Determines whether or not a line is drawn at
+                along the starting value of this axis. If True,
+                the start line is drawn on top of the grid
+                lines.
+            startlinecolor
+                Sets the line color of the start line.
+            startlinewidth
+                Sets the width (in px) of the start line.
+            tick0
+                The starting index of grid lines along the axis
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:  We add one item to d3's
+                date formatter: "%{n}f" for fractional seconds
+                with n digits. For example, *2016-10-13
+                09:15:23.456* with tickformat "%H~%M~%S.%2f"
+                would display "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.carpet.
+                baxis.Tickformatstop` instances or dicts with
+                compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.carpet.baxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of carpet.baxis.tickformatstops
+            tickmode
+
+            tickprefix
+                Sets a tick label prefix.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            title
+                :class:`plotly.graph_objects.carpet.baxis.Title
+                ` instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use carpet.baxis.title.font
+                instead. Sets this axis' title font. Note that
+                the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleoffset
+                Deprecated: Please use
+                carpet.baxis.title.offset instead. An
+                additional amount by which to offset the title
+                from the tick labels, given in pixels. Note
+                that this used to be set by the now deprecated
+                `titleoffset` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_bsrc.py b/packages/python/plotly/plotly/validators/carpet/_bsrc.py
new file mode 100644
index 00000000000..dca80c25fd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_bsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="bsrc", parent_name="carpet", **kwargs):
+        super(BsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_carpet.py b/packages/python/plotly/plotly/validators/carpet/_carpet.py
new file mode 100644
index 00000000000..54f8f6d1f1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_carpet.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="carpet", parent_name="carpet", **kwargs):
+        super(CarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_cheaterslope.py b/packages/python/plotly/plotly/validators/carpet/_cheaterslope.py
new file mode 100644
index 00000000000..c52286376e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_cheaterslope.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CheaterslopeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cheaterslope", parent_name="carpet", **kwargs):
+        super(CheaterslopeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_color.py b/packages/python/plotly/plotly/validators/carpet/_color.py
new file mode 100644
index 00000000000..dacd9bb6b86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="carpet", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_customdata.py b/packages/python/plotly/plotly/validators/carpet/_customdata.py
new file mode 100644
index 00000000000..039d0fa0c59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="carpet", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_customdatasrc.py b/packages/python/plotly/plotly/validators/carpet/_customdatasrc.py
new file mode 100644
index 00000000000..4fa8ade40ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="carpet", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_da.py b/packages/python/plotly/plotly/validators/carpet/_da.py
new file mode 100644
index 00000000000..996483cc001
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_da.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DaValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="da", parent_name="carpet", **kwargs):
+        super(DaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_db.py b/packages/python/plotly/plotly/validators/carpet/_db.py
new file mode 100644
index 00000000000..bc21ff6a353
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_db.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DbValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="db", parent_name="carpet", **kwargs):
+        super(DbValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_font.py b/packages/python/plotly/plotly/validators/carpet/_font.py
new file mode 100644
index 00000000000..522a275ed34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="carpet", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_ids.py b/packages/python/plotly/plotly/validators/carpet/_ids.py
new file mode 100644
index 00000000000..ce5733b4b1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_ids.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="carpet", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_idssrc.py b/packages/python/plotly/plotly/validators/carpet/_idssrc.py
new file mode 100644
index 00000000000..b127eaea1d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="carpet", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_meta.py b/packages/python/plotly/plotly/validators/carpet/_meta.py
new file mode 100644
index 00000000000..4d359824b2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="carpet", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_metasrc.py b/packages/python/plotly/plotly/validators/carpet/_metasrc.py
new file mode 100644
index 00000000000..127ed33ff59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="carpet", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_name.py b/packages/python/plotly/plotly/validators/carpet/_name.py
new file mode 100644
index 00000000000..576d842a736
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="carpet", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_opacity.py b/packages/python/plotly/plotly/validators/carpet/_opacity.py
new file mode 100644
index 00000000000..ef8f02a95ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="carpet", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_stream.py b/packages/python/plotly/plotly/validators/carpet/_stream.py
new file mode 100644
index 00000000000..0d010c62448
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="carpet", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_uid.py b/packages/python/plotly/plotly/validators/carpet/_uid.py
new file mode 100644
index 00000000000..328efc5f85a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_uid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="carpet", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_uirevision.py b/packages/python/plotly/plotly/validators/carpet/_uirevision.py
new file mode 100644
index 00000000000..cf19264faa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="carpet", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_visible.py b/packages/python/plotly/plotly/validators/carpet/_visible.py
new file mode 100644
index 00000000000..c00c152e988
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="carpet", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_x.py b/packages/python/plotly/plotly/validators/carpet/_x.py
new file mode 100644
index 00000000000..3ffe3b07ad6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="carpet", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_xaxis.py b/packages/python/plotly/plotly/validators/carpet/_xaxis.py
new file mode 100644
index 00000000000..d10c9a9b698
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="carpet", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_xsrc.py b/packages/python/plotly/plotly/validators/carpet/_xsrc.py
new file mode 100644
index 00000000000..37a4a073cbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="carpet", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_y.py b/packages/python/plotly/plotly/validators/carpet/_y.py
new file mode 100644
index 00000000000..2abaa471af8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="carpet", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_yaxis.py b/packages/python/plotly/plotly/validators/carpet/_yaxis.py
new file mode 100644
index 00000000000..77e7a7e2141
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="carpet", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/_ysrc.py b/packages/python/plotly/plotly/validators/carpet/_ysrc.py
new file mode 100644
index 00000000000..95c42a53317
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="carpet", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/__init__.py b/packages/python/plotly/plotly/validators/carpet/aaxis/__init__.py
index 207c24f3db5..38772a426f1 100644
--- a/packages/python/plotly/plotly/validators/carpet/aaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/__init__.py
@@ -1,895 +1,118 @@
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="carpet.aaxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="carpet.aaxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            offset
-                An additional amount by which to offset the
-                title from the tick labels, given in pixels.
-                Note that this used to be set by the now
-                deprecated `titleoffset` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tickvalssrc", parent_name="carpet.aaxis", **kwargs):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="carpet.aaxis", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ticktextsrc", parent_name="carpet.aaxis", **kwargs):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="carpet.aaxis", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="ticksuffix", parent_name="carpet.aaxis", **kwargs):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickprefix", parent_name="carpet.aaxis", **kwargs):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="carpet.aaxis", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickformatstopdefaults", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickformat", parent_name="carpet.aaxis", **kwargs):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="carpet.aaxis", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="tickangle", parent_name="carpet.aaxis", **kwargs):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tick0", parent_name="carpet.aaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="startlinewidth", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(StartlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="startlinecolor", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(StartlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="startline", parent_name="carpet.aaxis", **kwargs):
-        super(StartlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="smoothing", parent_name="carpet.aaxis", **kwargs):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["start", "end", "both", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showline", parent_name="carpet.aaxis", **kwargs):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showgrid", parent_name="carpet.aaxis", **kwargs):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="rangemode", parent_name="carpet.aaxis", **kwargs):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="carpet.aaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="carpet.aaxis", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorgridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="minorgridwidth", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(MinorgridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorgridcountValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="minorgridcount", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(MinorgridcountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorgridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="minorgridcolor", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(MinorgridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="linewidth", parent_name="carpet.aaxis", **kwargs):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="linecolor", parent_name="carpet.aaxis", **kwargs):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="labelsuffix", parent_name="carpet.aaxis", **kwargs):
-        super(LabelsuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="labelprefix", parent_name="carpet.aaxis", **kwargs):
-        super(LabelprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelpaddingValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="labelpadding", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(LabelpaddingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="gridwidth", parent_name="carpet.aaxis", **kwargs):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="gridcolor", parent_name="carpet.aaxis", **kwargs):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="fixedrange", parent_name="carpet.aaxis", **kwargs):
-        super(FixedrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="endlinewidth", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(EndlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="endlinecolor", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(EndlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="endline", parent_name="carpet.aaxis", **kwargs):
-        super(EndlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtick", parent_name="carpet.aaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="carpet.aaxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CheatertypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="cheatertype", parent_name="carpet.aaxis", **kwargs):
-        super(CheatertypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["index", "value"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["trace", "category ascending", "category descending", "array"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="carpet.aaxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="autorange", parent_name="carpet.aaxis", **kwargs):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Arraytick0Validator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="arraytick0", parent_name="carpet.aaxis", **kwargs):
-        super(Arraytick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraydtickValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="arraydtick", parent_name="carpet.aaxis", **kwargs):
-        super(ArraydtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._startlinewidth import StartlinewidthValidator
+    from ._startlinecolor import StartlinecolorValidator
+    from ._startline import StartlineValidator
+    from ._smoothing import SmoothingValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._minorgridwidth import MinorgridwidthValidator
+    from ._minorgridcount import MinorgridcountValidator
+    from ._minorgridcolor import MinorgridcolorValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._labelsuffix import LabelsuffixValidator
+    from ._labelprefix import LabelprefixValidator
+    from ._labelpadding import LabelpaddingValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._fixedrange import FixedrangeValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._endlinewidth import EndlinewidthValidator
+    from ._endlinecolor import EndlinecolorValidator
+    from ._endline import EndlineValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+    from ._cheatertype import CheatertypeValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._autorange import AutorangeValidator
+    from ._arraytick0 import Arraytick0Validator
+    from ._arraydtick import ArraydtickValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._startlinewidth.StartlinewidthValidator",
+            "._startlinecolor.StartlinecolorValidator",
+            "._startline.StartlineValidator",
+            "._smoothing.SmoothingValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rangemode.RangemodeValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._minorgridwidth.MinorgridwidthValidator",
+            "._minorgridcount.MinorgridcountValidator",
+            "._minorgridcolor.MinorgridcolorValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._labelsuffix.LabelsuffixValidator",
+            "._labelprefix.LabelprefixValidator",
+            "._labelpadding.LabelpaddingValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._fixedrange.FixedrangeValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._endlinewidth.EndlinewidthValidator",
+            "._endlinecolor.EndlinecolorValidator",
+            "._endline.EndlineValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+            "._cheatertype.CheatertypeValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._autorange.AutorangeValidator",
+            "._arraytick0.Arraytick0Validator",
+            "._arraydtick.ArraydtickValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_arraydtick.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_arraydtick.py
new file mode 100644
index 00000000000..49f573caa27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_arraydtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ArraydtickValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="arraydtick", parent_name="carpet.aaxis", **kwargs):
+        super(ArraydtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_arraytick0.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_arraytick0.py
new file mode 100644
index 00000000000..b558a256f65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_arraytick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Arraytick0Validator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="arraytick0", parent_name="carpet.aaxis", **kwargs):
+        super(Arraytick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_autorange.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_autorange.py
new file mode 100644
index 00000000000..7e40cfd921c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_autorange.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="autorange", parent_name="carpet.aaxis", **kwargs):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryarray.py
new file mode 100644
index 00000000000..9468a7f628e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..c2e1503e9e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryorder.py
new file mode 100644
index 00000000000..3a9b379a942
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_categoryorder.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["trace", "category ascending", "category descending", "array"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_cheatertype.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_cheatertype.py
new file mode 100644
index 00000000000..35652b29bdd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_cheatertype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CheatertypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="cheatertype", parent_name="carpet.aaxis", **kwargs):
+        super(CheatertypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["index", "value"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_color.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_color.py
new file mode 100644
index 00000000000..10ddf4b4fc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="carpet.aaxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_dtick.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_dtick.py
new file mode 100644
index 00000000000..3c6b016aff3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtick", parent_name="carpet.aaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_endline.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_endline.py
new file mode 100644
index 00000000000..f32ba043e1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_endline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="endline", parent_name="carpet.aaxis", **kwargs):
+        super(EndlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_endlinecolor.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_endlinecolor.py
new file mode 100644
index 00000000000..8fd0286383c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_endlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="endlinecolor", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(EndlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_endlinewidth.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_endlinewidth.py
new file mode 100644
index 00000000000..cd6619ea826
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_endlinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="endlinewidth", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(EndlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_exponentformat.py
new file mode 100644
index 00000000000..cce3ece62bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_fixedrange.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_fixedrange.py
new file mode 100644
index 00000000000..ec13636c588
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_fixedrange.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="fixedrange", parent_name="carpet.aaxis", **kwargs):
+        super(FixedrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_gridcolor.py
new file mode 100644
index 00000000000..811d9f82590
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_gridcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="gridcolor", parent_name="carpet.aaxis", **kwargs):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_gridwidth.py
new file mode 100644
index 00000000000..09e4533fea3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_gridwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="gridwidth", parent_name="carpet.aaxis", **kwargs):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_labelpadding.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_labelpadding.py
new file mode 100644
index 00000000000..885228730e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_labelpadding.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelpaddingValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="labelpadding", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(LabelpaddingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_labelprefix.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_labelprefix.py
new file mode 100644
index 00000000000..3eed0ce39cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_labelprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="labelprefix", parent_name="carpet.aaxis", **kwargs):
+        super(LabelprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_labelsuffix.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_labelsuffix.py
new file mode 100644
index 00000000000..c7abf62a6d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_labelsuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="labelsuffix", parent_name="carpet.aaxis", **kwargs):
+        super(LabelsuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_linecolor.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_linecolor.py
new file mode 100644
index 00000000000..eb773137120
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_linecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="linecolor", parent_name="carpet.aaxis", **kwargs):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_linewidth.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_linewidth.py
new file mode 100644
index 00000000000..1ca08104f6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_linewidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="linewidth", parent_name="carpet.aaxis", **kwargs):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridcolor.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridcolor.py
new file mode 100644
index 00000000000..a2a6e9c7171
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MinorgridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="minorgridcolor", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(MinorgridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridcount.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridcount.py
new file mode 100644
index 00000000000..334487b88bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridcount.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MinorgridcountValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="minorgridcount", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(MinorgridcountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridwidth.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridwidth.py
new file mode 100644
index 00000000000..8fc1f954360
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_minorgridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MinorgridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="minorgridwidth", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(MinorgridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_nticks.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_nticks.py
new file mode 100644
index 00000000000..6866358201e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="carpet.aaxis", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_range.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_range.py
new file mode 100644
index 00000000000..0425e3d9717
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_range.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="carpet.aaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_rangemode.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_rangemode.py
new file mode 100644
index 00000000000..8914052d3db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_rangemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="rangemode", parent_name="carpet.aaxis", **kwargs):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_separatethousands.py
new file mode 100644
index 00000000000..56c0ad8aa74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_showexponent.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_showexponent.py
new file mode 100644
index 00000000000..9b91893923a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_showgrid.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_showgrid.py
new file mode 100644
index 00000000000..a2c1b622248
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_showgrid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showgrid", parent_name="carpet.aaxis", **kwargs):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_showline.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_showline.py
new file mode 100644
index 00000000000..7a5fb7b569b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_showline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showline", parent_name="carpet.aaxis", **kwargs):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_showticklabels.py
new file mode 100644
index 00000000000..d0eb0267cc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_showticklabels.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["start", "end", "both", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_showtickprefix.py
new file mode 100644
index 00000000000..2ef97a99e11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_showticksuffix.py
new file mode 100644
index 00000000000..f8c684a07e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_smoothing.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_smoothing.py
new file mode 100644
index 00000000000..e3c486dc18a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_smoothing.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="smoothing", parent_name="carpet.aaxis", **kwargs):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_startline.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_startline.py
new file mode 100644
index 00000000000..8f7834e5dcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_startline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="startline", parent_name="carpet.aaxis", **kwargs):
+        super(StartlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_startlinecolor.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_startlinecolor.py
new file mode 100644
index 00000000000..f00cf19357d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_startlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class StartlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="startlinecolor", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(StartlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_startlinewidth.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_startlinewidth.py
new file mode 100644
index 00000000000..50cb36b06c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_startlinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class StartlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="startlinewidth", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(StartlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tick0.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tick0.py
new file mode 100644
index 00000000000..9cb2d0964a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tick0", parent_name="carpet.aaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickangle.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickangle.py
new file mode 100644
index 00000000000..0e7469f2a6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="tickangle", parent_name="carpet.aaxis", **kwargs):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickfont.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickfont.py
new file mode 100644
index 00000000000..02b98bd14cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="carpet.aaxis", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformat.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformat.py
new file mode 100644
index 00000000000..902dc744d1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickformat", parent_name="carpet.aaxis", **kwargs):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..16866b8cd5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformatstopdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickformatstopdefaults", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformatstops.py
new file mode 100644
index 00000000000..ae658cf914f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="carpet.aaxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickmode.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickmode.py
new file mode 100644
index 00000000000..3914e369102
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="carpet.aaxis", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickprefix.py
new file mode 100644
index 00000000000..9f5f5b3408d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickprefix", parent_name="carpet.aaxis", **kwargs):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_ticksuffix.py
new file mode 100644
index 00000000000..bd9ab5d96d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_ticksuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="ticksuffix", parent_name="carpet.aaxis", **kwargs):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_ticktext.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_ticktext.py
new file mode 100644
index 00000000000..f23da30a4c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="carpet.aaxis", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..755274afb00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_ticktextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ticktextsrc", parent_name="carpet.aaxis", **kwargs):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickvals.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickvals.py
new file mode 100644
index 00000000000..c500d41eae2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="carpet.aaxis", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..7f4833eb11d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_tickvalssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tickvalssrc", parent_name="carpet.aaxis", **kwargs):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_title.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_title.py
new file mode 100644
index 00000000000..4126a9eeb36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="carpet.aaxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            offset
+                An additional amount by which to offset the
+                title from the tick labels, given in pixels.
+                Note that this used to be set by the now
+                deprecated `titleoffset` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/_type.py b/packages/python/plotly/plotly/validators/carpet/aaxis/_type.py
new file mode 100644
index 00000000000..6bf3c3651b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="carpet.aaxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/__init__.py
index 42957fe2ed4..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="carpet.aaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="carpet.aaxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="carpet.aaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_color.py
new file mode 100644
index 00000000000..bc7e1d45042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="carpet.aaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_family.py
new file mode 100644
index 00000000000..ca8cdd959d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="carpet.aaxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_size.py
new file mode 100644
index 00000000000..91ec8f102d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="carpet.aaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/__init__.py
index a20315efda3..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/__init__.py
@@ -1,91 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="carpet.aaxis.tickformatstop", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="carpet.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="carpet.aaxis.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="carpet.aaxis.tickformatstop", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="carpet.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..7a832fcaafe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="carpet.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..48ff91bd277
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="carpet.aaxis.tickformatstop", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..763c8961087
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="carpet.aaxis.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..3504a4aa042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="carpet.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..90d7a594a4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/tickformatstop/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="carpet.aaxis.tickformatstop", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/__init__.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/__init__.py
index 293019e8d2b..7b2848ba67c 100644
--- a/packages/python/plotly/plotly/validators/carpet/aaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/__init__.py
@@ -1,67 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="carpet.aaxis.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="offset", parent_name="carpet.aaxis.title", **kwargs
-    ):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="carpet.aaxis.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._offset import OffsetValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._offset.OffsetValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/_font.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/_font.py
new file mode 100644
index 00000000000..6feb6f98088
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="carpet.aaxis.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/_offset.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/_offset.py
new file mode 100644
index 00000000000..de460164673
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/_offset.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="offset", parent_name="carpet.aaxis.title", **kwargs
+    ):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/_text.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/_text.py
new file mode 100644
index 00000000000..3fe1eb54ab6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="carpet.aaxis.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/__init__.py
index 423d7b20882..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="carpet.aaxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="carpet.aaxis.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="carpet.aaxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_color.py
new file mode 100644
index 00000000000..8205ee3db4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="carpet.aaxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_family.py
new file mode 100644
index 00000000000..b5cfdf4f701
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="carpet.aaxis.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_size.py
new file mode 100644
index 00000000000..c326aff49c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/aaxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="carpet.aaxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/__init__.py b/packages/python/plotly/plotly/validators/carpet/baxis/__init__.py
index 74fbc6fdebf..38772a426f1 100644
--- a/packages/python/plotly/plotly/validators/carpet/baxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/__init__.py
@@ -1,895 +1,118 @@
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="carpet.baxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="carpet.baxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            offset
-                An additional amount by which to offset the
-                title from the tick labels, given in pixels.
-                Note that this used to be set by the now
-                deprecated `titleoffset` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tickvalssrc", parent_name="carpet.baxis", **kwargs):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="carpet.baxis", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ticktextsrc", parent_name="carpet.baxis", **kwargs):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="carpet.baxis", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="ticksuffix", parent_name="carpet.baxis", **kwargs):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickprefix", parent_name="carpet.baxis", **kwargs):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="carpet.baxis", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickformatstopdefaults", parent_name="carpet.baxis", **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="carpet.baxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickformat", parent_name="carpet.baxis", **kwargs):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="carpet.baxis", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="tickangle", parent_name="carpet.baxis", **kwargs):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tick0", parent_name="carpet.baxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="startlinewidth", parent_name="carpet.baxis", **kwargs
-    ):
-        super(StartlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="startlinecolor", parent_name="carpet.baxis", **kwargs
-    ):
-        super(StartlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="startline", parent_name="carpet.baxis", **kwargs):
-        super(StartlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="smoothing", parent_name="carpet.baxis", **kwargs):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="carpet.baxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="carpet.baxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="carpet.baxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["start", "end", "both", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showline", parent_name="carpet.baxis", **kwargs):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showgrid", parent_name="carpet.baxis", **kwargs):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="carpet.baxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="carpet.baxis", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="rangemode", parent_name="carpet.baxis", **kwargs):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="carpet.baxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="carpet.baxis", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorgridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="minorgridwidth", parent_name="carpet.baxis", **kwargs
-    ):
-        super(MinorgridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorgridcountValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="minorgridcount", parent_name="carpet.baxis", **kwargs
-    ):
-        super(MinorgridcountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorgridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="minorgridcolor", parent_name="carpet.baxis", **kwargs
-    ):
-        super(MinorgridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="linewidth", parent_name="carpet.baxis", **kwargs):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="linecolor", parent_name="carpet.baxis", **kwargs):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="labelsuffix", parent_name="carpet.baxis", **kwargs):
-        super(LabelsuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="labelprefix", parent_name="carpet.baxis", **kwargs):
-        super(LabelprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelpaddingValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="labelpadding", parent_name="carpet.baxis", **kwargs
-    ):
-        super(LabelpaddingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="gridwidth", parent_name="carpet.baxis", **kwargs):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="gridcolor", parent_name="carpet.baxis", **kwargs):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="fixedrange", parent_name="carpet.baxis", **kwargs):
-        super(FixedrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="carpet.baxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="endlinewidth", parent_name="carpet.baxis", **kwargs
-    ):
-        super(EndlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="endlinecolor", parent_name="carpet.baxis", **kwargs
-    ):
-        super(EndlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="endline", parent_name="carpet.baxis", **kwargs):
-        super(EndlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtick", parent_name="carpet.baxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="carpet.baxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CheatertypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="cheatertype", parent_name="carpet.baxis", **kwargs):
-        super(CheatertypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["index", "value"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="carpet.baxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["trace", "category ascending", "category descending", "array"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="carpet.baxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="carpet.baxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="autorange", parent_name="carpet.baxis", **kwargs):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Arraytick0Validator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="arraytick0", parent_name="carpet.baxis", **kwargs):
-        super(Arraytick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraydtickValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="arraydtick", parent_name="carpet.baxis", **kwargs):
-        super(ArraydtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._startlinewidth import StartlinewidthValidator
+    from ._startlinecolor import StartlinecolorValidator
+    from ._startline import StartlineValidator
+    from ._smoothing import SmoothingValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._minorgridwidth import MinorgridwidthValidator
+    from ._minorgridcount import MinorgridcountValidator
+    from ._minorgridcolor import MinorgridcolorValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._labelsuffix import LabelsuffixValidator
+    from ._labelprefix import LabelprefixValidator
+    from ._labelpadding import LabelpaddingValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._fixedrange import FixedrangeValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._endlinewidth import EndlinewidthValidator
+    from ._endlinecolor import EndlinecolorValidator
+    from ._endline import EndlineValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+    from ._cheatertype import CheatertypeValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._autorange import AutorangeValidator
+    from ._arraytick0 import Arraytick0Validator
+    from ._arraydtick import ArraydtickValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._startlinewidth.StartlinewidthValidator",
+            "._startlinecolor.StartlinecolorValidator",
+            "._startline.StartlineValidator",
+            "._smoothing.SmoothingValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rangemode.RangemodeValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._minorgridwidth.MinorgridwidthValidator",
+            "._minorgridcount.MinorgridcountValidator",
+            "._minorgridcolor.MinorgridcolorValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._labelsuffix.LabelsuffixValidator",
+            "._labelprefix.LabelprefixValidator",
+            "._labelpadding.LabelpaddingValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._fixedrange.FixedrangeValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._endlinewidth.EndlinewidthValidator",
+            "._endlinecolor.EndlinecolorValidator",
+            "._endline.EndlineValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+            "._cheatertype.CheatertypeValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._autorange.AutorangeValidator",
+            "._arraytick0.Arraytick0Validator",
+            "._arraydtick.ArraydtickValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_arraydtick.py b/packages/python/plotly/plotly/validators/carpet/baxis/_arraydtick.py
new file mode 100644
index 00000000000..15ab4671e84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_arraydtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ArraydtickValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="arraydtick", parent_name="carpet.baxis", **kwargs):
+        super(ArraydtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_arraytick0.py b/packages/python/plotly/plotly/validators/carpet/baxis/_arraytick0.py
new file mode 100644
index 00000000000..9690cd11603
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_arraytick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Arraytick0Validator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="arraytick0", parent_name="carpet.baxis", **kwargs):
+        super(Arraytick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_autorange.py b/packages/python/plotly/plotly/validators/carpet/baxis/_autorange.py
new file mode 100644
index 00000000000..716f1df85b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_autorange.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="autorange", parent_name="carpet.baxis", **kwargs):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_categoryarray.py b/packages/python/plotly/plotly/validators/carpet/baxis/_categoryarray.py
new file mode 100644
index 00000000000..f787fb4aea6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="carpet.baxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/carpet/baxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..0dd178995aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="carpet.baxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_categoryorder.py b/packages/python/plotly/plotly/validators/carpet/baxis/_categoryorder.py
new file mode 100644
index 00000000000..2adc18a9a4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_categoryorder.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="carpet.baxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["trace", "category ascending", "category descending", "array"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_cheatertype.py b/packages/python/plotly/plotly/validators/carpet/baxis/_cheatertype.py
new file mode 100644
index 00000000000..97567669e6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_cheatertype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CheatertypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="cheatertype", parent_name="carpet.baxis", **kwargs):
+        super(CheatertypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["index", "value"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_color.py b/packages/python/plotly/plotly/validators/carpet/baxis/_color.py
new file mode 100644
index 00000000000..03a04003c94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="carpet.baxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_dtick.py b/packages/python/plotly/plotly/validators/carpet/baxis/_dtick.py
new file mode 100644
index 00000000000..c03b42e05c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtick", parent_name="carpet.baxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_endline.py b/packages/python/plotly/plotly/validators/carpet/baxis/_endline.py
new file mode 100644
index 00000000000..f5a4382bc0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_endline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="endline", parent_name="carpet.baxis", **kwargs):
+        super(EndlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_endlinecolor.py b/packages/python/plotly/plotly/validators/carpet/baxis/_endlinecolor.py
new file mode 100644
index 00000000000..0a8bbc7c9c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_endlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="endlinecolor", parent_name="carpet.baxis", **kwargs
+    ):
+        super(EndlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_endlinewidth.py b/packages/python/plotly/plotly/validators/carpet/baxis/_endlinewidth.py
new file mode 100644
index 00000000000..ebe4f08dd86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_endlinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="endlinewidth", parent_name="carpet.baxis", **kwargs
+    ):
+        super(EndlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_exponentformat.py b/packages/python/plotly/plotly/validators/carpet/baxis/_exponentformat.py
new file mode 100644
index 00000000000..48096e5970f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="carpet.baxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_fixedrange.py b/packages/python/plotly/plotly/validators/carpet/baxis/_fixedrange.py
new file mode 100644
index 00000000000..004f69f35c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_fixedrange.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="fixedrange", parent_name="carpet.baxis", **kwargs):
+        super(FixedrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_gridcolor.py b/packages/python/plotly/plotly/validators/carpet/baxis/_gridcolor.py
new file mode 100644
index 00000000000..eb16e257e75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_gridcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="gridcolor", parent_name="carpet.baxis", **kwargs):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_gridwidth.py b/packages/python/plotly/plotly/validators/carpet/baxis/_gridwidth.py
new file mode 100644
index 00000000000..bab75626e41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_gridwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="gridwidth", parent_name="carpet.baxis", **kwargs):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_labelpadding.py b/packages/python/plotly/plotly/validators/carpet/baxis/_labelpadding.py
new file mode 100644
index 00000000000..7f8751ba372
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_labelpadding.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelpaddingValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="labelpadding", parent_name="carpet.baxis", **kwargs
+    ):
+        super(LabelpaddingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_labelprefix.py b/packages/python/plotly/plotly/validators/carpet/baxis/_labelprefix.py
new file mode 100644
index 00000000000..c8ca6897a8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_labelprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="labelprefix", parent_name="carpet.baxis", **kwargs):
+        super(LabelprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_labelsuffix.py b/packages/python/plotly/plotly/validators/carpet/baxis/_labelsuffix.py
new file mode 100644
index 00000000000..3f89ef2074f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_labelsuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="labelsuffix", parent_name="carpet.baxis", **kwargs):
+        super(LabelsuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_linecolor.py b/packages/python/plotly/plotly/validators/carpet/baxis/_linecolor.py
new file mode 100644
index 00000000000..a92426b7c47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_linecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="linecolor", parent_name="carpet.baxis", **kwargs):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_linewidth.py b/packages/python/plotly/plotly/validators/carpet/baxis/_linewidth.py
new file mode 100644
index 00000000000..efac432785b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_linewidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="linewidth", parent_name="carpet.baxis", **kwargs):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridcolor.py b/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridcolor.py
new file mode 100644
index 00000000000..ab2557c9e0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MinorgridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="minorgridcolor", parent_name="carpet.baxis", **kwargs
+    ):
+        super(MinorgridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridcount.py b/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridcount.py
new file mode 100644
index 00000000000..85a0936201e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridcount.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MinorgridcountValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="minorgridcount", parent_name="carpet.baxis", **kwargs
+    ):
+        super(MinorgridcountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridwidth.py b/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridwidth.py
new file mode 100644
index 00000000000..8065a70f22a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_minorgridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MinorgridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="minorgridwidth", parent_name="carpet.baxis", **kwargs
+    ):
+        super(MinorgridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_nticks.py b/packages/python/plotly/plotly/validators/carpet/baxis/_nticks.py
new file mode 100644
index 00000000000..8e126846312
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="carpet.baxis", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_range.py b/packages/python/plotly/plotly/validators/carpet/baxis/_range.py
new file mode 100644
index 00000000000..3ad166e689c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_range.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="carpet.baxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_rangemode.py b/packages/python/plotly/plotly/validators/carpet/baxis/_rangemode.py
new file mode 100644
index 00000000000..93652d91e8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_rangemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="rangemode", parent_name="carpet.baxis", **kwargs):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_separatethousands.py b/packages/python/plotly/plotly/validators/carpet/baxis/_separatethousands.py
new file mode 100644
index 00000000000..ce5ee004e65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="carpet.baxis", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_showexponent.py b/packages/python/plotly/plotly/validators/carpet/baxis/_showexponent.py
new file mode 100644
index 00000000000..55b8ea97b7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="carpet.baxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_showgrid.py b/packages/python/plotly/plotly/validators/carpet/baxis/_showgrid.py
new file mode 100644
index 00000000000..51d9630dcf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_showgrid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showgrid", parent_name="carpet.baxis", **kwargs):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_showline.py b/packages/python/plotly/plotly/validators/carpet/baxis/_showline.py
new file mode 100644
index 00000000000..66fc03d8619
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_showline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showline", parent_name="carpet.baxis", **kwargs):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_showticklabels.py b/packages/python/plotly/plotly/validators/carpet/baxis/_showticklabels.py
new file mode 100644
index 00000000000..e09efbec730
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_showticklabels.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="carpet.baxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["start", "end", "both", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/carpet/baxis/_showtickprefix.py
new file mode 100644
index 00000000000..8a470cff288
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="carpet.baxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/carpet/baxis/_showticksuffix.py
new file mode 100644
index 00000000000..859fe574891
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="carpet.baxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_smoothing.py b/packages/python/plotly/plotly/validators/carpet/baxis/_smoothing.py
new file mode 100644
index 00000000000..0599ef3ae49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_smoothing.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="smoothing", parent_name="carpet.baxis", **kwargs):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_startline.py b/packages/python/plotly/plotly/validators/carpet/baxis/_startline.py
new file mode 100644
index 00000000000..104a36ac266
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_startline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="startline", parent_name="carpet.baxis", **kwargs):
+        super(StartlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_startlinecolor.py b/packages/python/plotly/plotly/validators/carpet/baxis/_startlinecolor.py
new file mode 100644
index 00000000000..020433d4beb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_startlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class StartlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="startlinecolor", parent_name="carpet.baxis", **kwargs
+    ):
+        super(StartlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_startlinewidth.py b/packages/python/plotly/plotly/validators/carpet/baxis/_startlinewidth.py
new file mode 100644
index 00000000000..bbeedabd0a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_startlinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class StartlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="startlinewidth", parent_name="carpet.baxis", **kwargs
+    ):
+        super(StartlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tick0.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tick0.py
new file mode 100644
index 00000000000..22d047600d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tick0", parent_name="carpet.baxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickangle.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickangle.py
new file mode 100644
index 00000000000..7458bd91d0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="tickangle", parent_name="carpet.baxis", **kwargs):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickfont.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickfont.py
new file mode 100644
index 00000000000..12991528162
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="carpet.baxis", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickformat.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickformat.py
new file mode 100644
index 00000000000..0f1bad200f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickformat", parent_name="carpet.baxis", **kwargs):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..f25144013c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickformatstopdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickformatstopdefaults", parent_name="carpet.baxis", **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickformatstops.py
new file mode 100644
index 00000000000..6cf12b9bdad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="carpet.baxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickmode.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickmode.py
new file mode 100644
index 00000000000..7398d654440
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="carpet.baxis", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickprefix.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickprefix.py
new file mode 100644
index 00000000000..0bfc2aa2888
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickprefix", parent_name="carpet.baxis", **kwargs):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/carpet/baxis/_ticksuffix.py
new file mode 100644
index 00000000000..7107b7614d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_ticksuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="ticksuffix", parent_name="carpet.baxis", **kwargs):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_ticktext.py b/packages/python/plotly/plotly/validators/carpet/baxis/_ticktext.py
new file mode 100644
index 00000000000..b7ab62bd0a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="carpet.baxis", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/carpet/baxis/_ticktextsrc.py
new file mode 100644
index 00000000000..bf10b8571db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_ticktextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ticktextsrc", parent_name="carpet.baxis", **kwargs):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickvals.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickvals.py
new file mode 100644
index 00000000000..7439a9c80d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="carpet.baxis", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/carpet/baxis/_tickvalssrc.py
new file mode 100644
index 00000000000..944ee7d0181
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_tickvalssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tickvalssrc", parent_name="carpet.baxis", **kwargs):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_title.py b/packages/python/plotly/plotly/validators/carpet/baxis/_title.py
new file mode 100644
index 00000000000..5dff788ad04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="carpet.baxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            offset
+                An additional amount by which to offset the
+                title from the tick labels, given in pixels.
+                Note that this used to be set by the now
+                deprecated `titleoffset` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/_type.py b/packages/python/plotly/plotly/validators/carpet/baxis/_type.py
new file mode 100644
index 00000000000..c9a3423bc8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="carpet.baxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/__init__.py
index cdd15d36caf..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="carpet.baxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="carpet.baxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="carpet.baxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_color.py
new file mode 100644
index 00000000000..c46e0c6363f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="carpet.baxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_family.py
new file mode 100644
index 00000000000..476e2d06fc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="carpet.baxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_size.py
new file mode 100644
index 00000000000..d605dc211db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="carpet.baxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/__init__.py
index e69095abe03..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/__init__.py
@@ -1,91 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="carpet.baxis.tickformatstop", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="carpet.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="carpet.baxis.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="carpet.baxis.tickformatstop", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="carpet.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..b93ab2a7e11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="carpet.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..974b6fc300e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="carpet.baxis.tickformatstop", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..0bfabae268c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="carpet.baxis.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..97d6e8034bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="carpet.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..2a30f9e17e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/tickformatstop/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="carpet.baxis.tickformatstop", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/__init__.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/__init__.py
index f4d29c87191..7b2848ba67c 100644
--- a/packages/python/plotly/plotly/validators/carpet/baxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/__init__.py
@@ -1,67 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="carpet.baxis.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="offset", parent_name="carpet.baxis.title", **kwargs
-    ):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="carpet.baxis.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._offset import OffsetValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._offset.OffsetValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/_font.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/_font.py
new file mode 100644
index 00000000000..680788c725c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="carpet.baxis.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/_offset.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/_offset.py
new file mode 100644
index 00000000000..426f3343976
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/_offset.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="offset", parent_name="carpet.baxis.title", **kwargs
+    ):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/_text.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/_text.py
new file mode 100644
index 00000000000..3cc69b7c71d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="carpet.baxis.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/__init__.py
index 9d26d0ca35a..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/carpet/baxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="carpet.baxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="carpet.baxis.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="carpet.baxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_color.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_color.py
new file mode 100644
index 00000000000..06625267891
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="carpet.baxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_family.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_family.py
new file mode 100644
index 00000000000..e260e70112a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="carpet.baxis.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_size.py b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_size.py
new file mode 100644
index 00000000000..324802bc6ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="carpet.baxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/font/__init__.py b/packages/python/plotly/plotly/validators/carpet/font/__init__.py
index 2c4b366cfa7..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/carpet/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/font/__init__.py
@@ -1,43 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="carpet.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="carpet.font", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="carpet.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/font/_color.py b/packages/python/plotly/plotly/validators/carpet/font/_color.py
new file mode 100644
index 00000000000..6bdfb1cb978
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/font/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="carpet.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/font/_family.py b/packages/python/plotly/plotly/validators/carpet/font/_family.py
new file mode 100644
index 00000000000..d916c378a78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/font/_family.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="carpet.font", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/font/_size.py b/packages/python/plotly/plotly/validators/carpet/font/_size.py
new file mode 100644
index 00000000000..4e4e169d40f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/font/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="carpet.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/stream/__init__.py b/packages/python/plotly/plotly/validators/carpet/stream/__init__.py
index 25c635dc419..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/carpet/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/carpet/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="carpet.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="carpet.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/carpet/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/carpet/stream/_maxpoints.py
new file mode 100644
index 00000000000..1bd47496948
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="carpet.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/carpet/stream/_token.py b/packages/python/plotly/plotly/validators/carpet/stream/_token.py
new file mode 100644
index 00000000000..774c59c6e8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/carpet/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="carpet.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/__init__.py b/packages/python/plotly/plotly/validators/choropleth/__init__.py
index 9c6c21a6d1c..815b7799b23 100644
--- a/packages/python/plotly/plotly/validators/choropleth/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/__init__.py
@@ -1,936 +1,100 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="choropleth", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="choropleth", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="choropleth", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="choropleth", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="choropleth", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="choropleth", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="choropleth", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="choropleth", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.choropleth.unselec
-                ted.Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="choropleth", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="choropleth", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="choropleth", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="choropleth", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="choropleth", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="choropleth", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="choropleth", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="choropleth", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="choropleth", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.choropleth.selecte
-                d.Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="choropleth", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="choropleth", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="choropleth", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="choropleth", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="choropleth", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            line
-                :class:`plotly.graph_objects.choropleth.marker.
-                Line` instance or dict with compatible
-                properties
-            opacity
-                Sets the opacity of the locations.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="locationssrc", parent_name="choropleth", **kwargs):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="locations", parent_name="choropleth", **kwargs):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="locationmode", parent_name="choropleth", **kwargs):
-        super(LocationmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["ISO-3", "USA-states", "country names", "geojson-id"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="choropleth", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="choropleth", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="choropleth", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="choropleth", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="choropleth", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="choropleth", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="choropleth", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="choropleth", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="choropleth", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="choropleth", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["location", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GeojsonValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="geojson", parent_name="choropleth", **kwargs):
-        super(GeojsonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GeoValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="geo", parent_name="choropleth", **kwargs):
-        super(GeoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "geo"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FeatureidkeyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="featureidkey", parent_name="choropleth", **kwargs):
-        super(FeatureidkeyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="choropleth", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="choropleth", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="choropleth", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="choropleth", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.choropl
-                eth.colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.choropleth.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of choropleth.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.choropleth.colorba
-                r.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                choropleth.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                choropleth.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="choropleth", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="choropleth", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._reversescale import ReversescaleValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._locationmode import LocationmodeValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._geojson import GeojsonValidator
+    from ._geo import GeoValidator
+    from ._featureidkey import FeatureidkeyValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._reversescale.ReversescaleValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._locationmode.LocationmodeValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._geojson.GeojsonValidator",
+            "._geo.GeoValidator",
+            "._featureidkey.FeatureidkeyValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_autocolorscale.py b/packages/python/plotly/plotly/validators/choropleth/_autocolorscale.py
new file mode 100644
index 00000000000..90d4fed6ef1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="choropleth", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_coloraxis.py b/packages/python/plotly/plotly/validators/choropleth/_coloraxis.py
new file mode 100644
index 00000000000..42cf07ca823
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="choropleth", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_colorbar.py b/packages/python/plotly/plotly/validators/choropleth/_colorbar.py
new file mode 100644
index 00000000000..cbedc6c9326
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="choropleth", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.choropl
+                eth.colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.choropleth.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of choropleth.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.choropleth.colorba
+                r.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                choropleth.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                choropleth.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_colorscale.py b/packages/python/plotly/plotly/validators/choropleth/_colorscale.py
new file mode 100644
index 00000000000..ad663bfba38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="choropleth", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_customdata.py b/packages/python/plotly/plotly/validators/choropleth/_customdata.py
new file mode 100644
index 00000000000..7b49325d6ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="choropleth", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_customdatasrc.py b/packages/python/plotly/plotly/validators/choropleth/_customdatasrc.py
new file mode 100644
index 00000000000..9d3014a3797
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="choropleth", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_featureidkey.py b/packages/python/plotly/plotly/validators/choropleth/_featureidkey.py
new file mode 100644
index 00000000000..9f680b56b8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_featureidkey.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FeatureidkeyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="featureidkey", parent_name="choropleth", **kwargs):
+        super(FeatureidkeyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_geo.py b/packages/python/plotly/plotly/validators/choropleth/_geo.py
new file mode 100644
index 00000000000..3e45a66584e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_geo.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GeoValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="geo", parent_name="choropleth", **kwargs):
+        super(GeoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "geo"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_geojson.py b/packages/python/plotly/plotly/validators/choropleth/_geojson.py
new file mode 100644
index 00000000000..69fa21d3583
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_geojson.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GeojsonValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="geojson", parent_name="choropleth", **kwargs):
+        super(GeojsonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hoverinfo.py b/packages/python/plotly/plotly/validators/choropleth/_hoverinfo.py
new file mode 100644
index 00000000000..e7f9303c9de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="choropleth", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["location", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/choropleth/_hoverinfosrc.py
new file mode 100644
index 00000000000..74035de2873
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="choropleth", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hoverlabel.py b/packages/python/plotly/plotly/validators/choropleth/_hoverlabel.py
new file mode 100644
index 00000000000..20bc8deeda8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="choropleth", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hovertemplate.py b/packages/python/plotly/plotly/validators/choropleth/_hovertemplate.py
new file mode 100644
index 00000000000..f02316965fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="choropleth", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/choropleth/_hovertemplatesrc.py
new file mode 100644
index 00000000000..8052259509c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="choropleth", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hovertext.py b/packages/python/plotly/plotly/validators/choropleth/_hovertext.py
new file mode 100644
index 00000000000..dbffe839ecb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="choropleth", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_hovertextsrc.py b/packages/python/plotly/plotly/validators/choropleth/_hovertextsrc.py
new file mode 100644
index 00000000000..1afd1d7b51d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="choropleth", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_ids.py b/packages/python/plotly/plotly/validators/choropleth/_ids.py
new file mode 100644
index 00000000000..c3f80e59e3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="choropleth", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_idssrc.py b/packages/python/plotly/plotly/validators/choropleth/_idssrc.py
new file mode 100644
index 00000000000..b1dc5d671e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="choropleth", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_legendgroup.py b/packages/python/plotly/plotly/validators/choropleth/_legendgroup.py
new file mode 100644
index 00000000000..27b40794bc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="choropleth", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_locationmode.py b/packages/python/plotly/plotly/validators/choropleth/_locationmode.py
new file mode 100644
index 00000000000..db5a3e2bf13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_locationmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LocationmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="locationmode", parent_name="choropleth", **kwargs):
+        super(LocationmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["ISO-3", "USA-states", "country names", "geojson-id"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_locations.py b/packages/python/plotly/plotly/validators/choropleth/_locations.py
new file mode 100644
index 00000000000..0dabdd9336c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_locations.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="locations", parent_name="choropleth", **kwargs):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_locationssrc.py b/packages/python/plotly/plotly/validators/choropleth/_locationssrc.py
new file mode 100644
index 00000000000..aba642fc51a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_locationssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="locationssrc", parent_name="choropleth", **kwargs):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_marker.py b/packages/python/plotly/plotly/validators/choropleth/_marker.py
new file mode 100644
index 00000000000..459d75b735d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_marker.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="choropleth", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            line
+                :class:`plotly.graph_objects.choropleth.marker.
+                Line` instance or dict with compatible
+                properties
+            opacity
+                Sets the opacity of the locations.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_meta.py b/packages/python/plotly/plotly/validators/choropleth/_meta.py
new file mode 100644
index 00000000000..cf48ba444a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="choropleth", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_metasrc.py b/packages/python/plotly/plotly/validators/choropleth/_metasrc.py
new file mode 100644
index 00000000000..6272b31852f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="choropleth", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_name.py b/packages/python/plotly/plotly/validators/choropleth/_name.py
new file mode 100644
index 00000000000..b558f1c1ef5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="choropleth", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_reversescale.py b/packages/python/plotly/plotly/validators/choropleth/_reversescale.py
new file mode 100644
index 00000000000..40ba2bb4fab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="choropleth", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_selected.py b/packages/python/plotly/plotly/validators/choropleth/_selected.py
new file mode 100644
index 00000000000..a027527d072
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_selected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="choropleth", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.choropleth.selecte
+                d.Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_selectedpoints.py b/packages/python/plotly/plotly/validators/choropleth/_selectedpoints.py
new file mode 100644
index 00000000000..602a398dbad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="choropleth", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_showlegend.py b/packages/python/plotly/plotly/validators/choropleth/_showlegend.py
new file mode 100644
index 00000000000..6e49de050db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="choropleth", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_showscale.py b/packages/python/plotly/plotly/validators/choropleth/_showscale.py
new file mode 100644
index 00000000000..50b2f7a158d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="choropleth", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_stream.py b/packages/python/plotly/plotly/validators/choropleth/_stream.py
new file mode 100644
index 00000000000..b4743a69918
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="choropleth", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_text.py b/packages/python/plotly/plotly/validators/choropleth/_text.py
new file mode 100644
index 00000000000..8ff50537d8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="choropleth", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_textsrc.py b/packages/python/plotly/plotly/validators/choropleth/_textsrc.py
new file mode 100644
index 00000000000..558947c917d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="choropleth", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_uid.py b/packages/python/plotly/plotly/validators/choropleth/_uid.py
new file mode 100644
index 00000000000..e0a223cb832
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="choropleth", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_uirevision.py b/packages/python/plotly/plotly/validators/choropleth/_uirevision.py
new file mode 100644
index 00000000000..e52bfda12a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="choropleth", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_unselected.py b/packages/python/plotly/plotly/validators/choropleth/_unselected.py
new file mode 100644
index 00000000000..e3fda8aca1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_unselected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="choropleth", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.choropleth.unselec
+                ted.Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_visible.py b/packages/python/plotly/plotly/validators/choropleth/_visible.py
new file mode 100644
index 00000000000..46fe04c4f9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="choropleth", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_z.py b/packages/python/plotly/plotly/validators/choropleth/_z.py
new file mode 100644
index 00000000000..f14c5558833
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="choropleth", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_zauto.py b/packages/python/plotly/plotly/validators/choropleth/_zauto.py
new file mode 100644
index 00000000000..19c36d4d615
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="choropleth", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_zmax.py b/packages/python/plotly/plotly/validators/choropleth/_zmax.py
new file mode 100644
index 00000000000..4386d7386c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="choropleth", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_zmid.py b/packages/python/plotly/plotly/validators/choropleth/_zmid.py
new file mode 100644
index 00000000000..50b631aae3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="choropleth", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_zmin.py b/packages/python/plotly/plotly/validators/choropleth/_zmin.py
new file mode 100644
index 00000000000..37161818f01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="choropleth", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/_zsrc.py b/packages/python/plotly/plotly/validators/choropleth/_zsrc.py
new file mode 100644
index 00000000000..efd6d96f807
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="choropleth", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/__init__.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/__init__.py
index 30b9dfe19ad..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/choropleth/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/__init__.py
@@ -1,761 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="choropleth.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="choropleth.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="choropleth.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="choropleth.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="choropleth.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="choropleth.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="choropleth.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="choropleth.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..c4bb0db96ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..344035f4e07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..0a6cf3fef8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_dtick.py
new file mode 100644
index 00000000000..041c4f04383
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..8895140b272
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_len.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_len.py
new file mode 100644
index 00000000000..5e8fd6bdb2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="choropleth.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_lenmode.py
new file mode 100644
index 00000000000..533b08a2a9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_nticks.py
new file mode 100644
index 00000000000..05a1e5b261e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..ed0dd3bcfa1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..34d4f231dc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..ca05b7da163
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="choropleth.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showexponent.py
new file mode 100644
index 00000000000..3c99aaa38ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..fdd7b86698a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..49a3b9afec8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..d0bcd38544b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_thickness.py
new file mode 100644
index 00000000000..6a2c02763ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..5c21502f31b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tick0.py
new file mode 100644
index 00000000000..15b68d15f2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickangle.py
new file mode 100644
index 00000000000..8735c420b84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..72b53006bfe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickfont.py
new file mode 100644
index 00000000000..ecc68c94428
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformat.py
new file mode 100644
index 00000000000..7ff18781e58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..d8f0628aa5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="choropleth.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..085d4db7f31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticklen.py
new file mode 100644
index 00000000000..0144491df57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickmode.py
new file mode 100644
index 00000000000..fc9b11d0b00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..400aa019e5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticks.py
new file mode 100644
index 00000000000..6a5633d23a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..b92199b9c53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticktext.py
new file mode 100644
index 00000000000..07010b92692
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..37eab025598
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvals.py
new file mode 100644
index 00000000000..c369e43dc5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..db61ef1d02a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..547ddcf6a75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_title.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_title.py
new file mode 100644
index 00000000000..7193755a464
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_x.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_x.py
new file mode 100644
index 00000000000..be1716e4292
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="choropleth.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_xanchor.py
new file mode 100644
index 00000000000..b14d894a79d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_xpad.py
new file mode 100644
index 00000000000..0a5d6f8dd4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="choropleth.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_y.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_y.py
new file mode 100644
index 00000000000..042b6cb7337
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="choropleth.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_yanchor.py
new file mode 100644
index 00000000000..12f7bc0cf05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="choropleth.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ypad.py
new file mode 100644
index 00000000000..a2fc56ac9b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="choropleth.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/__init__.py
index 3374ef407bb..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="choropleth.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="choropleth.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="choropleth.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..a3cb5784c16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="choropleth.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..c10e3ab0555
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="choropleth.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..c40438cd8e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="choropleth.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/__init__.py
index 83db2bcd0f3..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="choropleth.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="choropleth.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="choropleth.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="choropleth.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="choropleth.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..161cfc9213d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="choropleth.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..3287bf690cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="choropleth.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..22661168478
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="choropleth.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..9288ad3938f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="choropleth.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..e4b438c7ddc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="choropleth.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/__init__.py
index 1e542410256..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="choropleth.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="choropleth.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="choropleth.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_font.py
new file mode 100644
index 00000000000..ce6d32789d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="choropleth.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_side.py
new file mode 100644
index 00000000000..074f5d55d59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="choropleth.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_text.py
new file mode 100644
index 00000000000..4c271dc67a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="choropleth.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/__init__.py
index f131a35ab10..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/__init__.py
@@ -1,55 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="choropleth.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="choropleth.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="choropleth.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..46d0b37bb4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="choropleth.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..91906f9621c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="choropleth.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..1fbb3bf60b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="choropleth.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/__init__.py
index 28520c11c6f..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/__init__.py
@@ -1,185 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="choropleth.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="choropleth.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_align.py
new file mode 100644
index 00000000000..5dd302eaaf9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..c2de4598f3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..2a354e74bfc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..34dab635cec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..def9deec2fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..1ab239d9c67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="choropleth.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_font.py
new file mode 100644
index 00000000000..a81aec7c7b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..49b00bc5b9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..003e029c90c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="choropleth.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/__init__.py
index 6bd7a46628d..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/__init__.py
@@ -1,103 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="choropleth.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="choropleth.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="choropleth.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="choropleth.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="choropleth.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="choropleth.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..76c115d4ef8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="choropleth.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..2fc43922cf0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="choropleth.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..ef31bfda76d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="choropleth.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b088780cbc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="choropleth.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..5d228f2bfa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="choropleth.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..6ed976cda3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="choropleth.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/__init__.py b/packages/python/plotly/plotly/validators/choropleth/marker/__init__.py
index 51980d6bdd0..663075d7259 100644
--- a/packages/python/plotly/plotly/validators/choropleth/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/__init__.py
@@ -1,67 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="choropleth.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="choropleth.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="choropleth.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/_line.py b/packages/python/plotly/plotly/validators/choropleth/marker/_line.py
new file mode 100644
index 00000000000..1a675c326fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/_line.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="choropleth.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/_opacity.py b/packages/python/plotly/plotly/validators/choropleth/marker/_opacity.py
new file mode 100644
index 00000000000..05d5a0795b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="choropleth.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/choropleth/marker/_opacitysrc.py
new file mode 100644
index 00000000000..35483228d77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="choropleth.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/line/__init__.py b/packages/python/plotly/plotly/validators/choropleth/marker/line/__init__.py
index 16f2f47d1b1..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/choropleth/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/line/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="choropleth.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="choropleth.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="choropleth.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="choropleth.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/line/_color.py b/packages/python/plotly/plotly/validators/choropleth/marker/line/_color.py
new file mode 100644
index 00000000000..b87608ae189
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/line/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="choropleth.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/choropleth/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..dcdc368f2b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="choropleth.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/line/_width.py b/packages/python/plotly/plotly/validators/choropleth/marker/line/_width.py
new file mode 100644
index 00000000000..69988942256
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="choropleth.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/choropleth/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..cb6aaba7645
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="choropleth.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/selected/__init__.py b/packages/python/plotly/plotly/validators/choropleth/selected/__init__.py
index 7ae0a85e3c6..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/choropleth/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/selected/__init__.py
@@ -1,20 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="choropleth.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the marker opacity of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/selected/_marker.py b/packages/python/plotly/plotly/validators/choropleth/selected/_marker.py
new file mode 100644
index 00000000000..7ae0a85e3c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/selected/_marker.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="choropleth.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the marker opacity of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/choropleth/selected/marker/__init__.py
index 44df1fa4bf6..163f929070c 100644
--- a/packages/python/plotly/plotly/validators/choropleth/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/selected/marker/__init__.py
@@ -1,16 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="choropleth.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/choropleth/selected/marker/_opacity.py
new file mode 100644
index 00000000000..44df1fa4bf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="choropleth.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/stream/__init__.py b/packages/python/plotly/plotly/validators/choropleth/stream/__init__.py
index 620fdc8ffa9..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/choropleth/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="choropleth.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="choropleth.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/choropleth/stream/_maxpoints.py
new file mode 100644
index 00000000000..e198ec2a9e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="choropleth.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/stream/_token.py b/packages/python/plotly/plotly/validators/choropleth/stream/_token.py
new file mode 100644
index 00000000000..2856e86e452
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="choropleth.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/unselected/__init__.py b/packages/python/plotly/plotly/validators/choropleth/unselected/__init__.py
index 465e7264db1..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/choropleth/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/unselected/__init__.py
@@ -1,21 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="choropleth.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/unselected/_marker.py b/packages/python/plotly/plotly/validators/choropleth/unselected/_marker.py
new file mode 100644
index 00000000000..465e7264db1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/unselected/_marker.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="choropleth.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choropleth/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/choropleth/unselected/marker/__init__.py
index 451f51b86a2..163f929070c 100644
--- a/packages/python/plotly/plotly/validators/choropleth/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/choropleth/unselected/marker/__init__.py
@@ -1,19 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="choropleth.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choropleth/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/choropleth/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..451f51b86a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choropleth/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="choropleth.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/__init__.py
index f0d65743c12..11ba8f6fce6 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/__init__.py
@@ -1,976 +1,100 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="choroplethmapbox", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="choroplethmapbox", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="choroplethmapbox", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="choroplethmapbox", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="choroplethmapbox", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="choroplethmapbox", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="choroplethmapbox", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="unselected", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.choroplethmapbox.u
-                nselected.Marker` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="choroplethmapbox", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="choroplethmapbox", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="choroplethmapbox", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="choroplethmapbox", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "mapbox"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="choroplethmapbox", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlegend", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="selected", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.choroplethmapbox.s
-                elected.Marker` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="choroplethmapbox", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="choroplethmapbox", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="choroplethmapbox", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="choroplethmapbox", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            line
-                :class:`plotly.graph_objects.choroplethmapbox.m
-                arker.Line` instance or dict with compatible
-                properties
-            opacity
-                Sets the opacity of the locations.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="choroplethmapbox", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="choroplethmapbox", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertext", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="hoverlabel", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(
-        self, plotly_name="hoverinfo", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["location", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GeojsonValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="geojson", parent_name="choroplethmapbox", **kwargs):
-        super(GeojsonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FeatureidkeyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="featureidkey", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(FeatureidkeyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="customdata", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.choropl
-                ethmapbox.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.choroplethmapbox.colorbar.tickformatstopdefau
-                lts), sets the default property values to use
-                for elements of
-                choroplethmapbox.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.choroplethmapbox.c
-                olorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                choroplethmapbox.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                choroplethmapbox.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BelowValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="below", parent_name="choroplethmapbox", **kwargs):
-        super(BelowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="choroplethmapbox", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._reversescale import ReversescaleValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._geojson import GeojsonValidator
+    from ._featureidkey import FeatureidkeyValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._below import BelowValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._reversescale.ReversescaleValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._geojson.GeojsonValidator",
+            "._featureidkey.FeatureidkeyValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._below.BelowValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_autocolorscale.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_autocolorscale.py
new file mode 100644
index 00000000000..dda30e397c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_below.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_below.py
new file mode 100644
index 00000000000..8d3d6950da2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_below.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BelowValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="below", parent_name="choroplethmapbox", **kwargs):
+        super(BelowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_coloraxis.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_coloraxis.py
new file mode 100644
index 00000000000..7defcb54101
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_colorbar.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_colorbar.py
new file mode 100644
index 00000000000..f7189cf1777
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.choropl
+                ethmapbox.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.choroplethmapbox.colorbar.tickformatstopdefau
+                lts), sets the default property values to use
+                for elements of
+                choroplethmapbox.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.choroplethmapbox.c
+                olorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                choroplethmapbox.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                choroplethmapbox.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_colorscale.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_colorscale.py
new file mode 100644
index 00000000000..8558ae34fd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_customdata.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_customdata.py
new file mode 100644
index 00000000000..cd9e1438dc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_customdata.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="customdata", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_customdatasrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_customdatasrc.py
new file mode 100644
index 00000000000..bf4555c2f70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_featureidkey.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_featureidkey.py
new file mode 100644
index 00000000000..94d4afd7707
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_featureidkey.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FeatureidkeyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="featureidkey", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(FeatureidkeyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_geojson.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_geojson.py
new file mode 100644
index 00000000000..4d139fd5bd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_geojson.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GeojsonValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="geojson", parent_name="choroplethmapbox", **kwargs):
+        super(GeojsonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverinfo.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverinfo.py
new file mode 100644
index 00000000000..a4b04c20ddd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverinfo.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(
+        self, plotly_name="hoverinfo", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["location", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverinfosrc.py
new file mode 100644
index 00000000000..042a0948e3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverlabel.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverlabel.py
new file mode 100644
index 00000000000..3862f48868b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hoverlabel.py
@@ -0,0 +1,53 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="hoverlabel", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertemplate.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertemplate.py
new file mode 100644
index 00000000000..ff71b5b81e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertemplatesrc.py
new file mode 100644
index 00000000000..550f2d2acad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertext.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertext.py
new file mode 100644
index 00000000000..97e8a5fecbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertext.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertext", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertextsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertextsrc.py
new file mode 100644
index 00000000000..8b35da52da7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_ids.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_ids.py
new file mode 100644
index 00000000000..45d3f0639c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="choroplethmapbox", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_idssrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_idssrc.py
new file mode 100644
index 00000000000..8f9856714aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="choroplethmapbox", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_legendgroup.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_legendgroup.py
new file mode 100644
index 00000000000..a3c838cd56d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_locations.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_locations.py
new file mode 100644
index 00000000000..51080df0424
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_locationssrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_locationssrc.py
new file mode 100644
index 00000000000..488ee913468
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_marker.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_marker.py
new file mode 100644
index 00000000000..48fbc5affc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_marker.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="choroplethmapbox", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            line
+                :class:`plotly.graph_objects.choroplethmapbox.m
+                arker.Line` instance or dict with compatible
+                properties
+            opacity
+                Sets the opacity of the locations.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_meta.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_meta.py
new file mode 100644
index 00000000000..5f6dd38ed44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="choroplethmapbox", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_metasrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_metasrc.py
new file mode 100644
index 00000000000..bdbfbbb026d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="choroplethmapbox", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_name.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_name.py
new file mode 100644
index 00000000000..7bada84af04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="choroplethmapbox", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_reversescale.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_reversescale.py
new file mode 100644
index 00000000000..0c14a885d1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_selected.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_selected.py
new file mode 100644
index 00000000000..326b9d1ed89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_selected.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="selected", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.choroplethmapbox.s
+                elected.Marker` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_selectedpoints.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_selectedpoints.py
new file mode 100644
index 00000000000..4d23edd0f31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_showlegend.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_showlegend.py
new file mode 100644
index 00000000000..6938b067b0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_showlegend.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlegend", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_showscale.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_showscale.py
new file mode 100644
index 00000000000..e1a7fd473ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_stream.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_stream.py
new file mode 100644
index 00000000000..3583df9f8e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="choroplethmapbox", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_subplot.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_subplot.py
new file mode 100644
index 00000000000..d7932c38e13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="choroplethmapbox", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "mapbox"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_text.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_text.py
new file mode 100644
index 00000000000..4c775e82bf4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="choroplethmapbox", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_textsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_textsrc.py
new file mode 100644
index 00000000000..5c9a308ece9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="choroplethmapbox", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_uid.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_uid.py
new file mode 100644
index 00000000000..2fe0355ef36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="choroplethmapbox", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_uirevision.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_uirevision.py
new file mode 100644
index 00000000000..486839bd0ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_unselected.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_unselected.py
new file mode 100644
index 00000000000..9939b9c2ffc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_unselected.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="unselected", parent_name="choroplethmapbox", **kwargs
+    ):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.choroplethmapbox.u
+                nselected.Marker` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_visible.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_visible.py
new file mode 100644
index 00000000000..f8e0d32bb90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="choroplethmapbox", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_z.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_z.py
new file mode 100644
index 00000000000..34c4688a118
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="choroplethmapbox", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_zauto.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_zauto.py
new file mode 100644
index 00000000000..c82ff5f39f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="choroplethmapbox", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_zmax.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_zmax.py
new file mode 100644
index 00000000000..27d7079efe0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="choroplethmapbox", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_zmid.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_zmid.py
new file mode 100644
index 00000000000..0392780722f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="choroplethmapbox", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_zmin.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_zmin.py
new file mode 100644
index 00000000000..6294fec6b8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="choroplethmapbox", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/_zsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/_zsrc.py
new file mode 100644
index 00000000000..c6380e500df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="choroplethmapbox", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/__init__.py
index 3c3b2996db5..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/__init__.py
@@ -1,819 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="choroplethmapbox.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="choroplethmapbox.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..b36556fbbee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..db85b2dc4df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..fc351359d3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_dtick.py
new file mode 100644
index 00000000000..c0c1cd9ac70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..fd766ab5e5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_len.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_len.py
new file mode 100644
index 00000000000..f013ede9d8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_lenmode.py
new file mode 100644
index 00000000000..d5194b65e46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_nticks.py
new file mode 100644
index 00000000000..aac20a8d4dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..d4e6ae7600a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..6306fe8937c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..9df85029b6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showexponent.py
new file mode 100644
index 00000000000..091f691bf74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..d7247d27cde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..a8a515e4344
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..4928606e54f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_thickness.py
new file mode 100644
index 00000000000..f6955a394f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..2d09f20b290
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tick0.py
new file mode 100644
index 00000000000..01b662b9996
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickangle.py
new file mode 100644
index 00000000000..898e9edcf07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..b1202a0a2e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickfont.py
new file mode 100644
index 00000000000..a29f55e2fd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformat.py
new file mode 100644
index 00000000000..0e0b1a49f55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..ba479c3f169
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..aac97dbb588
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticklen.py
new file mode 100644
index 00000000000..bb07892dbb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickmode.py
new file mode 100644
index 00000000000..78c78acad71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..b81faa3fd8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticks.py
new file mode 100644
index 00000000000..dcffe1ca514
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..005639c3ae3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticktext.py
new file mode 100644
index 00000000000..cb9744392d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..ef2016e82d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickvals.py
new file mode 100644
index 00000000000..70ac47fcd99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..e2210884b50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="choroplethmapbox.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..633f5225ae5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_title.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_title.py
new file mode 100644
index 00000000000..7fa7c3822a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_x.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_x.py
new file mode 100644
index 00000000000..93098e25319
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_xanchor.py
new file mode 100644
index 00000000000..0f69bd4a7a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_xpad.py
new file mode 100644
index 00000000000..bb80e520f1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_y.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_y.py
new file mode 100644
index 00000000000..73ce3178038
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_yanchor.py
new file mode 100644
index 00000000000..6cf3a228c6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ypad.py
new file mode 100644
index 00000000000..93d54bc9070
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="choroplethmapbox.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/__init__.py
index f08ae82bf85..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="choroplethmapbox.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="choroplethmapbox.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="choroplethmapbox.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..2838199add7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="choroplethmapbox.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..a15bf0906be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="choroplethmapbox.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..e5c8f21c8b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="choroplethmapbox.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/__init__.py
index 12db5b44ce2..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="choroplethmapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="choroplethmapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="choroplethmapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="choroplethmapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="choroplethmapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..d6e202b35d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="choroplethmapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..b91cb7ba3d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="choroplethmapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..48376c2d1db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="choroplethmapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..707e8bca2be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="choroplethmapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..3b56b907cd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="choroplethmapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/__init__.py
index 2905709c65d..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="choroplethmapbox.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="choroplethmapbox.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="choroplethmapbox.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_font.py
new file mode 100644
index 00000000000..da9807d0f43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="choroplethmapbox.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_side.py
new file mode 100644
index 00000000000..7e375764eac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="choroplethmapbox.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_text.py
new file mode 100644
index 00000000000..ba893602b12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="choroplethmapbox.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/__init__.py
index 4eaabc05a8f..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="choroplethmapbox.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="choroplethmapbox.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="choroplethmapbox.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..09204e624f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="choroplethmapbox.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..65cf6d7e365
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="choroplethmapbox.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..24c6290d489
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="choroplethmapbox.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/__init__.py
index dee74d3ad0e..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/__init__.py
@@ -1,200 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="choroplethmapbox.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="namelength",
-        parent_name="choroplethmapbox.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="choroplethmapbox.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="choroplethmapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="choroplethmapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolorsrc",
-        parent_name="choroplethmapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="choroplethmapbox.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="alignsrc",
-        parent_name="choroplethmapbox.hoverlabel",
-        **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="choroplethmapbox.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_align.py
new file mode 100644
index 00000000000..8be02a3b41a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="choroplethmapbox.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..5b0930c2fff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_alignsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="alignsrc",
+        parent_name="choroplethmapbox.hoverlabel",
+        **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..af69e869fb4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="choroplethmapbox.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..81db881a20e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolorsrc",
+        parent_name="choroplethmapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..2540a4aaa58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="choroplethmapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..8fdd898ce66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="choroplethmapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_font.py
new file mode 100644
index 00000000000..a1aa59639db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="choroplethmapbox.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..c2394cf3a85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_namelength.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="namelength",
+        parent_name="choroplethmapbox.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..f64e6b52186
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="choroplethmapbox.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/__init__.py
index 4c507b14d4b..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/__init__.py
@@ -1,118 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="choroplethmapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="choroplethmapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="choroplethmapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="choroplethmapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="choroplethmapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="choroplethmapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..a76cc18aefe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="choroplethmapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..100c7ea6da7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="choroplethmapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..ebe73ffe066
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="choroplethmapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..7566344e752
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="choroplethmapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..e90cd2d0428
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_size.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="choroplethmapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..666d77b1d47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="choroplethmapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/__init__.py
index 467f9f145bd..663075d7259 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/__init__.py
@@ -1,69 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="choroplethmapbox.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="choroplethmapbox.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="choroplethmapbox.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_line.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_line.py
new file mode 100644
index 00000000000..180e41e8482
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_line.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="choroplethmapbox.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_opacity.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_opacity.py
new file mode 100644
index 00000000000..6f249975d9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="choroplethmapbox.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_opacitysrc.py
new file mode 100644
index 00000000000..3db0725fca1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="choroplethmapbox.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/__init__.py
index 04a728a68f0..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/__init__.py
@@ -1,71 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="widthsrc",
-        parent_name="choroplethmapbox.marker.line",
-        **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="choroplethmapbox.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="choroplethmapbox.marker.line",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="choroplethmapbox.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_color.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_color.py
new file mode 100644
index 00000000000..10da4f2ce84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="choroplethmapbox.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..26f92718574
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="choroplethmapbox.marker.line",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_width.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_width.py
new file mode 100644
index 00000000000..1f23be413a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="choroplethmapbox.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..e3779db3027
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/marker/line/_widthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="widthsrc",
+        parent_name="choroplethmapbox.marker.line",
+        **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/selected/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/__init__.py
index 2cc8f589091..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/__init__.py
@@ -1,20 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="choroplethmapbox.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the marker opacity of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/selected/_marker.py b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/_marker.py
new file mode 100644
index 00000000000..2cc8f589091
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/_marker.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="choroplethmapbox.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the marker opacity of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/__init__.py
index beddb7ff90e..163f929070c 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/__init__.py
@@ -1,19 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="choroplethmapbox.selected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/_opacity.py
new file mode 100644
index 00000000000..beddb7ff90e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/selected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="choroplethmapbox.selected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/stream/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/stream/__init__.py
index 633487cbe9b..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="choroplethmapbox.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="choroplethmapbox.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/choroplethmapbox/stream/_maxpoints.py
new file mode 100644
index 00000000000..cd645b17728
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="choroplethmapbox.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/stream/_token.py b/packages/python/plotly/plotly/validators/choroplethmapbox/stream/_token.py
new file mode 100644
index 00000000000..1c377682872
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="choroplethmapbox.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/__init__.py
index 5578c3bf2c0..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/__init__.py
@@ -1,21 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="choroplethmapbox.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/_marker.py b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/_marker.py
new file mode 100644
index 00000000000..5578c3bf2c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/_marker.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="choroplethmapbox.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/__init__.py
index 508c4f654e0..163f929070c 100644
--- a/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/__init__.py
@@ -1,19 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="choroplethmapbox.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..508c4f654e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/choroplethmapbox/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="choroplethmapbox.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/__init__.py b/packages/python/plotly/plotly/validators/cone/__init__.py
index 73b7b320661..be7c78c5bbf 100644
--- a/packages/python/plotly/plotly/validators/cone/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/__init__.py
@@ -1,1041 +1,114 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="cone", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="cone", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="cone", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="cone", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="cone", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="cone", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="wsrc", parent_name="cone", **kwargs):
-        super(WsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="w", parent_name="cone", **kwargs):
-        super(WValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="vsrc", parent_name="cone", **kwargs):
-        super(VsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="cone", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="v", parent_name="cone", **kwargs):
-        super(VValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="usrc", parent_name="cone", **kwargs):
-        super(UsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="cone", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="cone", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="u", parent_name="cone", **kwargs):
-        super(UValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="cone", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="cone", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="cone", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizeref", parent_name="cone", **kwargs):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="sizemode", parent_name="cone", **kwargs):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["scaled", "absolute"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="cone", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="cone", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="cone", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="cone", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="cone", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="cone", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="cone", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="cone", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lightposition", parent_name="cone", **kwargs):
-        super(LightpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Numeric vector, representing the X coordinate
-                for each vertex.
-            y
-                Numeric vector, representing the Y coordinate
-                for each vertex.
-            z
-                Numeric vector, representing the Z coordinate
-                for each vertex.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lighting", parent_name="cone", **kwargs):
-        super(LightingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lighting"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            ambient
-                Ambient light increases overall color
-                visibility but can wash out the image.
-            diffuse
-                Represents the extent that incident rays are
-                reflected in a range of angles.
-            facenormalsepsilon
-                Epsilon for face normals calculation avoids
-                math issues arising from degenerate geometry.
-            fresnel
-                Represents the reflectance as a dependency of
-                the viewing angle; e.g. paper is reflective
-                when viewing it from the edge of the paper
-                (almost 90 degrees), causing shine.
-            roughness
-                Alters specular reflection; the rougher the
-                surface, the wider and less contrasty the
-                shine.
-            specular
-                Represents the level that incident rays are
-                reflected in a single direction, causing shine.
-            vertexnormalsepsilon
-                Epsilon for vertex normals calculation avoids
-                math issues arising from degenerate geometry.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="cone", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="cone", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="cone", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="cone", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="cone", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="cone", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="cone", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="cone", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="cone", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="cone", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop(
-                "flags", ["x", "y", "z", "u", "v", "w", "norm", "text", "name"]
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="cone", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="cone", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="cone", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="cone", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.cone.co
-                lorbar.Tickformatstop` instances or dicts with
-                compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.cone.colorbar.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of cone.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.cone.colorbar.Titl
-                e` instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use cone.colorbar.title.font
-                instead. Sets this color bar's title font. Note
-                that the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use cone.colorbar.title.side
-                instead. Determines the location of color bar's
-                title with respect to the color bar. Note that
-                the title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="cone", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="cone", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="cone", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="cone", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="cone", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="cone", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="anchor", parent_name="cone", **kwargs):
-        super(AnchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["tip", "tail", "cm", "center"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._x import XValidator
+    from ._wsrc import WsrcValidator
+    from ._w import WValidator
+    from ._vsrc import VsrcValidator
+    from ._visible import VisibleValidator
+    from ._v import VValidator
+    from ._usrc import UsrcValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._u import UValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lightposition import LightpositionValidator
+    from ._lighting import LightingValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+    from ._anchor import AnchorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._x.XValidator",
+            "._wsrc.WsrcValidator",
+            "._w.WValidator",
+            "._vsrc.VsrcValidator",
+            "._visible.VisibleValidator",
+            "._v.VValidator",
+            "._usrc.UsrcValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._u.UValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lightposition.LightpositionValidator",
+            "._lighting.LightingValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+            "._anchor.AnchorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/_anchor.py b/packages/python/plotly/plotly/validators/cone/_anchor.py
new file mode 100644
index 00000000000..99fb322d6fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_anchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AnchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="anchor", parent_name="cone", **kwargs):
+        super(AnchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["tip", "tail", "cm", "center"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_autocolorscale.py b/packages/python/plotly/plotly/validators/cone/_autocolorscale.py
new file mode 100644
index 00000000000..927db6d8258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="cone", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_cauto.py b/packages/python/plotly/plotly/validators/cone/_cauto.py
new file mode 100644
index 00000000000..3b8305d396f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="cone", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_cmax.py b/packages/python/plotly/plotly/validators/cone/_cmax.py
new file mode 100644
index 00000000000..50139418e32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="cone", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_cmid.py b/packages/python/plotly/plotly/validators/cone/_cmid.py
new file mode 100644
index 00000000000..52fa2830678
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="cone", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_cmin.py b/packages/python/plotly/plotly/validators/cone/_cmin.py
new file mode 100644
index 00000000000..679cd33e500
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="cone", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_coloraxis.py b/packages/python/plotly/plotly/validators/cone/_coloraxis.py
new file mode 100644
index 00000000000..e51bd6290da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="cone", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_colorbar.py b/packages/python/plotly/plotly/validators/cone/_colorbar.py
new file mode 100644
index 00000000000..7a872f08992
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_colorbar.py
@@ -0,0 +1,224 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="cone", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.cone.co
+                lorbar.Tickformatstop` instances or dicts with
+                compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.cone.colorbar.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of cone.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.cone.colorbar.Titl
+                e` instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use cone.colorbar.title.font
+                instead. Sets this color bar's title font. Note
+                that the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use cone.colorbar.title.side
+                instead. Determines the location of color bar's
+                title with respect to the color bar. Note that
+                the title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_colorscale.py b/packages/python/plotly/plotly/validators/cone/_colorscale.py
new file mode 100644
index 00000000000..0224dd7118b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="cone", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_customdata.py b/packages/python/plotly/plotly/validators/cone/_customdata.py
new file mode 100644
index 00000000000..81369915a16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="cone", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_customdatasrc.py b/packages/python/plotly/plotly/validators/cone/_customdatasrc.py
new file mode 100644
index 00000000000..5a0a4816182
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="cone", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hoverinfo.py b/packages/python/plotly/plotly/validators/cone/_hoverinfo.py
new file mode 100644
index 00000000000..a91941de05e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hoverinfo.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="cone", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop(
+                "flags", ["x", "y", "z", "u", "v", "w", "norm", "text", "name"]
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/cone/_hoverinfosrc.py
new file mode 100644
index 00000000000..8d592b77e47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="cone", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hoverlabel.py b/packages/python/plotly/plotly/validators/cone/_hoverlabel.py
new file mode 100644
index 00000000000..c85280b5ec6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="cone", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hovertemplate.py b/packages/python/plotly/plotly/validators/cone/_hovertemplate.py
new file mode 100644
index 00000000000..af6348f3e01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="cone", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/cone/_hovertemplatesrc.py
new file mode 100644
index 00000000000..01c79e80b24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="cone", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hovertext.py b/packages/python/plotly/plotly/validators/cone/_hovertext.py
new file mode 100644
index 00000000000..e40fae2444b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="cone", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_hovertextsrc.py b/packages/python/plotly/plotly/validators/cone/_hovertextsrc.py
new file mode 100644
index 00000000000..82768a43bfa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="cone", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_ids.py b/packages/python/plotly/plotly/validators/cone/_ids.py
new file mode 100644
index 00000000000..bffd79bee69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="cone", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_idssrc.py b/packages/python/plotly/plotly/validators/cone/_idssrc.py
new file mode 100644
index 00000000000..2e14baa44a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="cone", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_legendgroup.py b/packages/python/plotly/plotly/validators/cone/_legendgroup.py
new file mode 100644
index 00000000000..062aef5f23f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="cone", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_lighting.py b/packages/python/plotly/plotly/validators/cone/_lighting.py
new file mode 100644
index 00000000000..7a5275e0f29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_lighting.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lighting", parent_name="cone", **kwargs):
+        super(LightingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lighting"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            ambient
+                Ambient light increases overall color
+                visibility but can wash out the image.
+            diffuse
+                Represents the extent that incident rays are
+                reflected in a range of angles.
+            facenormalsepsilon
+                Epsilon for face normals calculation avoids
+                math issues arising from degenerate geometry.
+            fresnel
+                Represents the reflectance as a dependency of
+                the viewing angle; e.g. paper is reflective
+                when viewing it from the edge of the paper
+                (almost 90 degrees), causing shine.
+            roughness
+                Alters specular reflection; the rougher the
+                surface, the wider and less contrasty the
+                shine.
+            specular
+                Represents the level that incident rays are
+                reflected in a single direction, causing shine.
+            vertexnormalsepsilon
+                Epsilon for vertex normals calculation avoids
+                math issues arising from degenerate geometry.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_lightposition.py b/packages/python/plotly/plotly/validators/cone/_lightposition.py
new file mode 100644
index 00000000000..85555245765
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_lightposition.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lightposition", parent_name="cone", **kwargs):
+        super(LightpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Numeric vector, representing the X coordinate
+                for each vertex.
+            y
+                Numeric vector, representing the Y coordinate
+                for each vertex.
+            z
+                Numeric vector, representing the Z coordinate
+                for each vertex.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_meta.py b/packages/python/plotly/plotly/validators/cone/_meta.py
new file mode 100644
index 00000000000..e724645bb86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="cone", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_metasrc.py b/packages/python/plotly/plotly/validators/cone/_metasrc.py
new file mode 100644
index 00000000000..f2062b18709
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="cone", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_name.py b/packages/python/plotly/plotly/validators/cone/_name.py
new file mode 100644
index 00000000000..21fc1fb9b0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="cone", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_opacity.py b/packages/python/plotly/plotly/validators/cone/_opacity.py
new file mode 100644
index 00000000000..c02118a6287
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="cone", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_reversescale.py b/packages/python/plotly/plotly/validators/cone/_reversescale.py
new file mode 100644
index 00000000000..1fd1f831398
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="cone", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_scene.py b/packages/python/plotly/plotly/validators/cone/_scene.py
new file mode 100644
index 00000000000..730b34d9c6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="cone", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_showlegend.py b/packages/python/plotly/plotly/validators/cone/_showlegend.py
new file mode 100644
index 00000000000..f7a3a96b619
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="cone", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_showscale.py b/packages/python/plotly/plotly/validators/cone/_showscale.py
new file mode 100644
index 00000000000..2e4897ab75c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="cone", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_sizemode.py b/packages/python/plotly/plotly/validators/cone/_sizemode.py
new file mode 100644
index 00000000000..967b2bf7a47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_sizemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="sizemode", parent_name="cone", **kwargs):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["scaled", "absolute"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_sizeref.py b/packages/python/plotly/plotly/validators/cone/_sizeref.py
new file mode 100644
index 00000000000..c5ba0514cd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_sizeref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizeref", parent_name="cone", **kwargs):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_stream.py b/packages/python/plotly/plotly/validators/cone/_stream.py
new file mode 100644
index 00000000000..ba114738ee0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="cone", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_text.py b/packages/python/plotly/plotly/validators/cone/_text.py
new file mode 100644
index 00000000000..9622b83b7fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="cone", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_textsrc.py b/packages/python/plotly/plotly/validators/cone/_textsrc.py
new file mode 100644
index 00000000000..c266b02bc90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="cone", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_u.py b/packages/python/plotly/plotly/validators/cone/_u.py
new file mode 100644
index 00000000000..9d58adf8ef8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_u.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="u", parent_name="cone", **kwargs):
+        super(UValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_uid.py b/packages/python/plotly/plotly/validators/cone/_uid.py
new file mode 100644
index 00000000000..ad316f68f53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="cone", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_uirevision.py b/packages/python/plotly/plotly/validators/cone/_uirevision.py
new file mode 100644
index 00000000000..e7536a256a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="cone", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_usrc.py b/packages/python/plotly/plotly/validators/cone/_usrc.py
new file mode 100644
index 00000000000..84ac29d2163
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_usrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="usrc", parent_name="cone", **kwargs):
+        super(UsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_v.py b/packages/python/plotly/plotly/validators/cone/_v.py
new file mode 100644
index 00000000000..57dc9cd8f4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_v.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="v", parent_name="cone", **kwargs):
+        super(VValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_visible.py b/packages/python/plotly/plotly/validators/cone/_visible.py
new file mode 100644
index 00000000000..8e54c4382c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="cone", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_vsrc.py b/packages/python/plotly/plotly/validators/cone/_vsrc.py
new file mode 100644
index 00000000000..cbc8f4a7ff7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_vsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="vsrc", parent_name="cone", **kwargs):
+        super(VsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_w.py b/packages/python/plotly/plotly/validators/cone/_w.py
new file mode 100644
index 00000000000..e12936388cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_w.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="w", parent_name="cone", **kwargs):
+        super(WValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_wsrc.py b/packages/python/plotly/plotly/validators/cone/_wsrc.py
new file mode 100644
index 00000000000..0a4c1fa114f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_wsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="wsrc", parent_name="cone", **kwargs):
+        super(WsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_x.py b/packages/python/plotly/plotly/validators/cone/_x.py
new file mode 100644
index 00000000000..8b7dfd1d1fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="cone", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_xsrc.py b/packages/python/plotly/plotly/validators/cone/_xsrc.py
new file mode 100644
index 00000000000..f52ffc9a765
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="cone", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_y.py b/packages/python/plotly/plotly/validators/cone/_y.py
new file mode 100644
index 00000000000..8ba803d9cfa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="cone", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_ysrc.py b/packages/python/plotly/plotly/validators/cone/_ysrc.py
new file mode 100644
index 00000000000..49cc974b671
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="cone", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_z.py b/packages/python/plotly/plotly/validators/cone/_z.py
new file mode 100644
index 00000000000..13e6dbe151e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="cone", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/_zsrc.py b/packages/python/plotly/plotly/validators/cone/_zsrc.py
new file mode 100644
index 00000000000..359798a1ca3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="cone", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/__init__.py b/packages/python/plotly/plotly/validators/cone/colorbar/__init__.py
index f4dc8b5bf8c..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/cone/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/__init__.py
@@ -1,716 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="cone.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="cone.colorbar", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="cone.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="cone.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="cone.colorbar", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="cone.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="cone.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tickwidth", parent_name="cone.colorbar", **kwargs):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="cone.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="cone.colorbar", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="cone.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="cone.colorbar", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="ticksuffix", parent_name="cone.colorbar", **kwargs):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="cone.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickprefix", parent_name="cone.colorbar", **kwargs):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="cone.colorbar", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="cone.colorbar", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="cone.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="cone.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickformat", parent_name="cone.colorbar", **kwargs):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="cone.colorbar", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="tickcolor", parent_name="cone.colorbar", **kwargs):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="tickangle", parent_name="cone.colorbar", **kwargs):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="cone.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="cone.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="thickness", parent_name="cone.colorbar", **kwargs):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="cone.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="cone.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="cone.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="cone.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="cone.colorbar", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="cone.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="cone.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="cone.colorbar", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="cone.colorbar", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="cone.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="cone.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="cone.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="cone.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="cone.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="cone.colorbar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/cone/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..e61136dd652
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="cone.colorbar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/cone/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..39b0aede5f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="cone.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/cone/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..39360689079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="cone.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/cone/colorbar/_dtick.py
new file mode 100644
index 00000000000..53d5b603748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="cone.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/cone/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..2882270f1b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="cone.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_len.py b/packages/python/plotly/plotly/validators/cone/colorbar/_len.py
new file mode 100644
index 00000000000..2a8fc855d43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="cone.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/cone/colorbar/_lenmode.py
new file mode 100644
index 00000000000..89ac848835b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="cone.colorbar", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/cone/colorbar/_nticks.py
new file mode 100644
index 00000000000..e8c55f68d79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="cone.colorbar", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/cone/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..56c1f3e2119
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="cone.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/cone/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..1963d3cb4ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="cone.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/cone/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..355595bb72b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="cone.colorbar", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/cone/colorbar/_showexponent.py
new file mode 100644
index 00000000000..aee4696290d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="cone.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/cone/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..b67ab65eeb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="cone.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/cone/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..6a5539c9611
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="cone.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/cone/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..5b0a71e2c2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="cone.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/cone/colorbar/_thickness.py
new file mode 100644
index 00000000000..d3e5e39c09a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_thickness.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="thickness", parent_name="cone.colorbar", **kwargs):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/cone/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..6cab2691381
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="cone.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tick0.py
new file mode 100644
index 00000000000..7e5723c0d4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="cone.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickangle.py
new file mode 100644
index 00000000000..3f76b28fc88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="tickangle", parent_name="cone.colorbar", **kwargs):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..43222a6022b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="tickcolor", parent_name="cone.colorbar", **kwargs):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickfont.py
new file mode 100644
index 00000000000..ce66d7fe5c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="cone.colorbar", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickformat.py
new file mode 100644
index 00000000000..73960c03ea3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickformat", parent_name="cone.colorbar", **kwargs):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..7c1daac6406
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="cone.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..ab857a3a1db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="cone.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/cone/colorbar/_ticklen.py
new file mode 100644
index 00000000000..760a90e1237
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="cone.colorbar", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickmode.py
new file mode 100644
index 00000000000..0ca981e2c0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="cone.colorbar", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..17e79bb9914
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickprefix", parent_name="cone.colorbar", **kwargs):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/cone/colorbar/_ticks.py
new file mode 100644
index 00000000000..3a6839d5c54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="cone.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/cone/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..a21004fd554
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_ticksuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="ticksuffix", parent_name="cone.colorbar", **kwargs):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/cone/colorbar/_ticktext.py
new file mode 100644
index 00000000000..d003ffcdcc0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="cone.colorbar", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/cone/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..fef538cd7aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="cone.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickvals.py
new file mode 100644
index 00000000000..1d80905460b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="cone.colorbar", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..8b29c9755af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="cone.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/cone/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..aecd2c6d0a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_tickwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tickwidth", parent_name="cone.colorbar", **kwargs):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_title.py b/packages/python/plotly/plotly/validators/cone/colorbar/_title.py
new file mode 100644
index 00000000000..b70548c41e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="cone.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_x.py b/packages/python/plotly/plotly/validators/cone/colorbar/_x.py
new file mode 100644
index 00000000000..46537921eb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="cone.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/cone/colorbar/_xanchor.py
new file mode 100644
index 00000000000..4b441bc295d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="cone.colorbar", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/cone/colorbar/_xpad.py
new file mode 100644
index 00000000000..a914d2e7fa8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="cone.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_y.py b/packages/python/plotly/plotly/validators/cone/colorbar/_y.py
new file mode 100644
index 00000000000..2d9c096708e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="cone.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/cone/colorbar/_yanchor.py
new file mode 100644
index 00000000000..99dc4dc2542
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="cone.colorbar", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/cone/colorbar/_ypad.py
new file mode 100644
index 00000000000..6b2d3554963
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="cone.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/__init__.py
index 359e530f74a..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="cone.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="cone.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="cone.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..0bfb6578fa7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="cone.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..23e6c662ef0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="cone.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..6d1b04ceaca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="cone.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/__init__.py
index 60aea7e6412..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/__init__.py
@@ -1,94 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="cone.colorbar.tickformatstop", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="cone.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="cone.colorbar.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="cone.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="cone.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..acb3796876e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="cone.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a2f702b8ba5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="cone.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..34accf4091f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="cone.colorbar.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..98b2833dd46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="cone.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..6ebe5868607
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/tickformatstop/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="cone.colorbar.tickformatstop", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/__init__.py
index c642af6365a..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/cone/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/__init__.py
@@ -1,66 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="cone.colorbar.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="side", parent_name="cone.colorbar.title", **kwargs):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="cone.colorbar.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/_font.py
new file mode 100644
index 00000000000..527029cf005
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="cone.colorbar.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/_side.py
new file mode 100644
index 00000000000..b27dee0d0ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/_side.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="side", parent_name="cone.colorbar.title", **kwargs):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/_text.py
new file mode 100644
index 00000000000..2c0a8e51766
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="cone.colorbar.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/__init__.py
index 7ff498ea637..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/cone/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="cone.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="cone.colorbar.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="cone.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..f70d5a15ee6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="cone.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..0298bfa2aae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="cone.colorbar.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..dce33c9deb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="cone.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/__init__.py
index d3beaba08c1..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/cone/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/__init__.py
@@ -1,174 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="cone.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="cone.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="cone.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="cone.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="cone.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="cone.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="cone.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="cone.hoverlabel", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="cone.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_align.py
new file mode 100644
index 00000000000..772f1c61a53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="cone.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..92f0afd9291
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="cone.hoverlabel", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..ea615ce913a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="cone.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..437dc879e80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="cone.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..78e1e431c5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="cone.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..41481eec3fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="cone.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_font.py
new file mode 100644
index 00000000000..6b383021d01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="cone.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..8585565262d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="cone.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3200dcb1392
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="cone.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/__init__.py
index 198c8f81f2f..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="cone.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="cone.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="cone.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="cone.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="cone.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="cone.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..f8d3c636fd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="cone.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..770459dab58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="cone.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..231404ebe5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="cone.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..46cbd78a5d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="cone.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..291bcc14460
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="cone.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..6a4e77b481d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="cone.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/__init__.py b/packages/python/plotly/plotly/validators/cone/lighting/__init__.py
index 8fa4e648a63..12f1cf66154 100644
--- a/packages/python/plotly/plotly/validators/cone/lighting/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/lighting/__init__.py
@@ -1,114 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="vertexnormalsepsilon", parent_name="cone.lighting", **kwargs
-    ):
-        super(VertexnormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="specular", parent_name="cone.lighting", **kwargs):
-        super(SpecularValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="roughness", parent_name="cone.lighting", **kwargs):
-        super(RoughnessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fresnel", parent_name="cone.lighting", **kwargs):
-        super(FresnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="facenormalsepsilon", parent_name="cone.lighting", **kwargs
-    ):
-        super(FacenormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="diffuse", parent_name="cone.lighting", **kwargs):
-        super(DiffuseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ambient", parent_name="cone.lighting", **kwargs):
-        super(AmbientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._vertexnormalsepsilon import VertexnormalsepsilonValidator
+    from ._specular import SpecularValidator
+    from ._roughness import RoughnessValidator
+    from ._fresnel import FresnelValidator
+    from ._facenormalsepsilon import FacenormalsepsilonValidator
+    from ._diffuse import DiffuseValidator
+    from ._ambient import AmbientValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._vertexnormalsepsilon.VertexnormalsepsilonValidator",
+            "._specular.SpecularValidator",
+            "._roughness.RoughnessValidator",
+            "._fresnel.FresnelValidator",
+            "._facenormalsepsilon.FacenormalsepsilonValidator",
+            "._diffuse.DiffuseValidator",
+            "._ambient.AmbientValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_ambient.py b/packages/python/plotly/plotly/validators/cone/lighting/_ambient.py
new file mode 100644
index 00000000000..814f96b6a91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_ambient.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ambient", parent_name="cone.lighting", **kwargs):
+        super(AmbientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_diffuse.py b/packages/python/plotly/plotly/validators/cone/lighting/_diffuse.py
new file mode 100644
index 00000000000..0a0b63234c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_diffuse.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="diffuse", parent_name="cone.lighting", **kwargs):
+        super(DiffuseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_facenormalsepsilon.py b/packages/python/plotly/plotly/validators/cone/lighting/_facenormalsepsilon.py
new file mode 100644
index 00000000000..0d7b7b0496e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_facenormalsepsilon.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="facenormalsepsilon", parent_name="cone.lighting", **kwargs
+    ):
+        super(FacenormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_fresnel.py b/packages/python/plotly/plotly/validators/cone/lighting/_fresnel.py
new file mode 100644
index 00000000000..436f3f7c20a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_fresnel.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fresnel", parent_name="cone.lighting", **kwargs):
+        super(FresnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_roughness.py b/packages/python/plotly/plotly/validators/cone/lighting/_roughness.py
new file mode 100644
index 00000000000..e508ba2a165
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_roughness.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="roughness", parent_name="cone.lighting", **kwargs):
+        super(RoughnessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_specular.py b/packages/python/plotly/plotly/validators/cone/lighting/_specular.py
new file mode 100644
index 00000000000..d975989dc51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_specular.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="specular", parent_name="cone.lighting", **kwargs):
+        super(SpecularValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lighting/_vertexnormalsepsilon.py b/packages/python/plotly/plotly/validators/cone/lighting/_vertexnormalsepsilon.py
new file mode 100644
index 00000000000..e4056cd8255
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lighting/_vertexnormalsepsilon.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="vertexnormalsepsilon", parent_name="cone.lighting", **kwargs
+    ):
+        super(VertexnormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lightposition/__init__.py b/packages/python/plotly/plotly/validators/cone/lightposition/__init__.py
index fb41b1ae6ae..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/cone/lightposition/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/lightposition/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="z", parent_name="cone.lightposition", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="cone.lightposition", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="cone.lightposition", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/lightposition/_x.py b/packages/python/plotly/plotly/validators/cone/lightposition/_x.py
new file mode 100644
index 00000000000..2e1ea022745
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lightposition/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="cone.lightposition", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lightposition/_y.py b/packages/python/plotly/plotly/validators/cone/lightposition/_y.py
new file mode 100644
index 00000000000..b71b15fa532
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lightposition/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="cone.lightposition", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/lightposition/_z.py b/packages/python/plotly/plotly/validators/cone/lightposition/_z.py
new file mode 100644
index 00000000000..89ff49aafe7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/lightposition/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="z", parent_name="cone.lightposition", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/stream/__init__.py b/packages/python/plotly/plotly/validators/cone/stream/__init__.py
index 2975fadd5c4..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/cone/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/cone/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="cone.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="cone.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/cone/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/cone/stream/_maxpoints.py
new file mode 100644
index 00000000000..ee254d9bed4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="cone.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/cone/stream/_token.py b/packages/python/plotly/plotly/validators/cone/stream/_token.py
new file mode 100644
index 00000000000..87d50c6ee79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/cone/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="cone.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/__init__.py b/packages/python/plotly/plotly/validators/contour/__init__.py
index 120582d912a..abc1fab928f 100644
--- a/packages/python/plotly/plotly/validators/contour/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/__init__.py
@@ -1,1236 +1,128 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="contour", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="contour", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="contour", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="contour", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="zhoverformat", parent_name="contour", **kwargs):
-        super(ZhoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="contour", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="contour", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ytype", parent_name="contour", **kwargs):
-        super(YtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="contour", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="contour", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="contour", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="contour", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="contour", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xtype", parent_name="contour", **kwargs):
-        super(XtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="contour", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="contour", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="contour", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="contour", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="contour", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="contour", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="contour", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="contour", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="transpose", parent_name="contour", **kwargs):
-        super(TransposeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="contour", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="contour", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="contour", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="contour", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="contour", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="contour", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="contour", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="ncontours", parent_name="contour", **kwargs):
-        super(NcontoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="contour", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="contour", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="contour", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="contour", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour level. Has no
-                effect if `contours.coloring` is set to
-                "lines".
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            smoothing
-                Sets the amount of smoothing for the contour
-                lines, where 0 corresponds to no smoothing.
-            width
-                Sets the contour line width in (in px) Defaults
-                to 0.5 when `contours.type` is "levels".
-                Defaults to 2 when `contour.type` is
-                "constraint".
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="contour", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="contour", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="contour", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="contour", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="contour", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="contour", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="contour", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverongapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="hoverongaps", parent_name="contour", **kwargs):
-        super(HoverongapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="contour", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="contour", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="contour", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="contour", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "contour.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="contour", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="contour", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="contour", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="contour", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contours", parent_name="contour", **kwargs):
-        super(ContoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contours"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            coloring
-                Determines the coloring method showing the
-                contour values. If "fill", coloring is done
-                evenly between each contour level If "heatmap",
-                a heatmap gradient coloring is applied between
-                each contour level. If "lines", coloring is
-                done on the contour lines. If "none", no
-                coloring is applied on this trace.
-            end
-                Sets the end contour level value. Must be more
-                than `contours.start`
-            labelfont
-                Sets the font used for labeling the contour
-                levels. The default color comes from the lines,
-                if shown. The default family and size come from
-                `layout.font`.
-            labelformat
-                Sets the contour label formatting rule using d3
-                formatting mini-language which is very similar
-                to Python, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            operation
-                Sets the constraint operation. "=" keeps
-                regions equal to `value` "<" and "<=" keep
-                regions less than `value` ">" and ">=" keep
-                regions greater than `value` "[]", "()", "[)",
-                and "(]" keep regions inside `value[0]` to
-                `value[1]` "][", ")(", "](", ")[" keep regions
-                outside `value[0]` to value[1]` Open vs. closed
-                intervals make no difference to constraint
-                display, but all versions are allowed for
-                consistency with filter transforms.
-            showlabels
-                Determines whether to label the contour lines
-                with their values.
-            showlines
-                Determines whether or not the contour lines are
-                drawn. Has an effect only if
-                `contours.coloring` is set to "fill".
-            size
-                Sets the step between each contour level. Must
-                be positive.
-            start
-                Sets the starting contour level value. Must be
-                less than `contours.end`
-            type
-                If `levels`, the data is represented as a
-                contour plot with multiple levels displayed. If
-                `constraint`, the data is represented as
-                constraints with the invalid region shaded as
-                specified by the `operation` and `value`
-                parameters.
-            value
-                Sets the value or values of the constraint
-                boundary. When `operation` is set to one of the
-                comparison values (=,<,>=,>,<=) "value" is
-                expected to be a number. When `operation` is
-                set to one of the interval values
-                ([],(),[),(],][,)(,](,)[) "value" is expected
-                to be an array of two numbers where the first
-                is the lower bound and the second is the upper
-                bound.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="contour", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="contour", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="contour", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.contour
-                .colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.contour.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of contour.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.contour.colorbar.T
-                itle` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                contour.colorbar.title.font instead. Sets this
-                color bar's title font. Note that the title's
-                font used to be set by the now deprecated
-                `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                contour.colorbar.title.side instead. Determines
-                the location of color bar's title with respect
-                to the color bar. Note that the title's
-                location used to be set by the now deprecated
-                `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="contour", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocontour", parent_name="contour", **kwargs):
-        super(AutocontourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="contour", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zhoverformat import ZhoverformatValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._ytype import YtypeValidator
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xtype import XtypeValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._transpose import TransposeValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._ncontours import NcontoursValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverongaps import HoverongapsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contours import ContoursValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._autocontour import AutocontourValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zhoverformat.ZhoverformatValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._ytype.YtypeValidator",
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xtype.XtypeValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._transpose.TransposeValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._ncontours.NcontoursValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverongaps.HoverongapsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contours.ContoursValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._autocontour.AutocontourValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/_autocolorscale.py b/packages/python/plotly/plotly/validators/contour/_autocolorscale.py
new file mode 100644
index 00000000000..f1e77a5ae52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="contour", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_autocontour.py b/packages/python/plotly/plotly/validators/contour/_autocontour.py
new file mode 100644
index 00000000000..07c0b940fe4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_autocontour.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocontour", parent_name="contour", **kwargs):
+        super(AutocontourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_coloraxis.py b/packages/python/plotly/plotly/validators/contour/_coloraxis.py
new file mode 100644
index 00000000000..478e8efb9e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="contour", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_colorbar.py b/packages/python/plotly/plotly/validators/contour/_colorbar.py
new file mode 100644
index 00000000000..a083cb499b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="contour", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.contour
+                .colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.contour.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of contour.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.contour.colorbar.T
+                itle` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                contour.colorbar.title.font instead. Sets this
+                color bar's title font. Note that the title's
+                font used to be set by the now deprecated
+                `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                contour.colorbar.title.side instead. Determines
+                the location of color bar's title with respect
+                to the color bar. Note that the title's
+                location used to be set by the now deprecated
+                `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_colorscale.py b/packages/python/plotly/plotly/validators/contour/_colorscale.py
new file mode 100644
index 00000000000..e1a61d5c79e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="contour", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_connectgaps.py b/packages/python/plotly/plotly/validators/contour/_connectgaps.py
new file mode 100644
index 00000000000..718aedef998
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="contour", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_contours.py b/packages/python/plotly/plotly/validators/contour/_contours.py
new file mode 100644
index 00000000000..a9a14cad68e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_contours.py
@@ -0,0 +1,79 @@
+import _plotly_utils.basevalidators
+
+
+class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contours", parent_name="contour", **kwargs):
+        super(ContoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contours"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            coloring
+                Determines the coloring method showing the
+                contour values. If "fill", coloring is done
+                evenly between each contour level If "heatmap",
+                a heatmap gradient coloring is applied between
+                each contour level. If "lines", coloring is
+                done on the contour lines. If "none", no
+                coloring is applied on this trace.
+            end
+                Sets the end contour level value. Must be more
+                than `contours.start`
+            labelfont
+                Sets the font used for labeling the contour
+                levels. The default color comes from the lines,
+                if shown. The default family and size come from
+                `layout.font`.
+            labelformat
+                Sets the contour label formatting rule using d3
+                formatting mini-language which is very similar
+                to Python, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            operation
+                Sets the constraint operation. "=" keeps
+                regions equal to `value` "<" and "<=" keep
+                regions less than `value` ">" and ">=" keep
+                regions greater than `value` "[]", "()", "[)",
+                and "(]" keep regions inside `value[0]` to
+                `value[1]` "][", ")(", "](", ")[" keep regions
+                outside `value[0]` to value[1]` Open vs. closed
+                intervals make no difference to constraint
+                display, but all versions are allowed for
+                consistency with filter transforms.
+            showlabels
+                Determines whether to label the contour lines
+                with their values.
+            showlines
+                Determines whether or not the contour lines are
+                drawn. Has an effect only if
+                `contours.coloring` is set to "fill".
+            size
+                Sets the step between each contour level. Must
+                be positive.
+            start
+                Sets the starting contour level value. Must be
+                less than `contours.end`
+            type
+                If `levels`, the data is represented as a
+                contour plot with multiple levels displayed. If
+                `constraint`, the data is represented as
+                constraints with the invalid region shaded as
+                specified by the `operation` and `value`
+                parameters.
+            value
+                Sets the value or values of the constraint
+                boundary. When `operation` is set to one of the
+                comparison values (=,<,>=,>,<=) "value" is
+                expected to be a number. When `operation` is
+                set to one of the interval values
+                ([],(),[),(],][,)(,](,)[) "value" is expected
+                to be an array of two numbers where the first
+                is the lower bound and the second is the upper
+                bound.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_customdata.py b/packages/python/plotly/plotly/validators/contour/_customdata.py
new file mode 100644
index 00000000000..8863c829b67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="contour", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_customdatasrc.py b/packages/python/plotly/plotly/validators/contour/_customdatasrc.py
new file mode 100644
index 00000000000..cf4ac25c0d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="contour", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_dx.py b/packages/python/plotly/plotly/validators/contour/_dx.py
new file mode 100644
index 00000000000..853644655d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_dx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="contour", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_dy.py b/packages/python/plotly/plotly/validators/contour/_dy.py
new file mode 100644
index 00000000000..40394576fb2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_dy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="contour", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_fillcolor.py b/packages/python/plotly/plotly/validators/contour/_fillcolor.py
new file mode 100644
index 00000000000..c376399d324
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_fillcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="contour", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "contour.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hoverinfo.py b/packages/python/plotly/plotly/validators/contour/_hoverinfo.py
new file mode 100644
index 00000000000..00eb2980122
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="contour", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/contour/_hoverinfosrc.py
new file mode 100644
index 00000000000..00d4037c6c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="contour", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hoverlabel.py b/packages/python/plotly/plotly/validators/contour/_hoverlabel.py
new file mode 100644
index 00000000000..5a0e8688d5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="contour", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hoverongaps.py b/packages/python/plotly/plotly/validators/contour/_hoverongaps.py
new file mode 100644
index 00000000000..8562d57b182
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hoverongaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverongapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="hoverongaps", parent_name="contour", **kwargs):
+        super(HoverongapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hovertemplate.py b/packages/python/plotly/plotly/validators/contour/_hovertemplate.py
new file mode 100644
index 00000000000..f26ad80d671
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="contour", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/contour/_hovertemplatesrc.py
new file mode 100644
index 00000000000..3725c5abc10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="contour", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hovertext.py b/packages/python/plotly/plotly/validators/contour/_hovertext.py
new file mode 100644
index 00000000000..e6cf7ecd7e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hovertext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="contour", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_hovertextsrc.py b/packages/python/plotly/plotly/validators/contour/_hovertextsrc.py
new file mode 100644
index 00000000000..e3bf70171b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="contour", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_ids.py b/packages/python/plotly/plotly/validators/contour/_ids.py
new file mode 100644
index 00000000000..750930ffa22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="contour", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_idssrc.py b/packages/python/plotly/plotly/validators/contour/_idssrc.py
new file mode 100644
index 00000000000..c64a20c0444
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="contour", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_legendgroup.py b/packages/python/plotly/plotly/validators/contour/_legendgroup.py
new file mode 100644
index 00000000000..cd3897705c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="contour", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_line.py b/packages/python/plotly/plotly/validators/contour/_line.py
new file mode 100644
index 00000000000..a4490255a1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_line.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="contour", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour level. Has no
+                effect if `contours.coloring` is set to
+                "lines".
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            smoothing
+                Sets the amount of smoothing for the contour
+                lines, where 0 corresponds to no smoothing.
+            width
+                Sets the contour line width in (in px) Defaults
+                to 0.5 when `contours.type` is "levels".
+                Defaults to 2 when `contour.type` is
+                "constraint".
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_meta.py b/packages/python/plotly/plotly/validators/contour/_meta.py
new file mode 100644
index 00000000000..03e01828506
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="contour", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_metasrc.py b/packages/python/plotly/plotly/validators/contour/_metasrc.py
new file mode 100644
index 00000000000..8cdb5f8780d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="contour", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_name.py b/packages/python/plotly/plotly/validators/contour/_name.py
new file mode 100644
index 00000000000..40aaa03ac8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="contour", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_ncontours.py b/packages/python/plotly/plotly/validators/contour/_ncontours.py
new file mode 100644
index 00000000000..02a372c8c8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_ncontours.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="ncontours", parent_name="contour", **kwargs):
+        super(NcontoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_opacity.py b/packages/python/plotly/plotly/validators/contour/_opacity.py
new file mode 100644
index 00000000000..897acb7d512
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="contour", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_reversescale.py b/packages/python/plotly/plotly/validators/contour/_reversescale.py
new file mode 100644
index 00000000000..9b60ec837b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="contour", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_showlegend.py b/packages/python/plotly/plotly/validators/contour/_showlegend.py
new file mode 100644
index 00000000000..027bb54302f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="contour", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_showscale.py b/packages/python/plotly/plotly/validators/contour/_showscale.py
new file mode 100644
index 00000000000..cd170a9a57d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="contour", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_stream.py b/packages/python/plotly/plotly/validators/contour/_stream.py
new file mode 100644
index 00000000000..6f269281a2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="contour", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_text.py b/packages/python/plotly/plotly/validators/contour/_text.py
new file mode 100644
index 00000000000..a444a11bb64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="contour", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_textsrc.py b/packages/python/plotly/plotly/validators/contour/_textsrc.py
new file mode 100644
index 00000000000..8f192fff55b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="contour", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_transpose.py b/packages/python/plotly/plotly/validators/contour/_transpose.py
new file mode 100644
index 00000000000..4cd741ea729
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_transpose.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="transpose", parent_name="contour", **kwargs):
+        super(TransposeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_uid.py b/packages/python/plotly/plotly/validators/contour/_uid.py
new file mode 100644
index 00000000000..696c1ed451b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="contour", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_uirevision.py b/packages/python/plotly/plotly/validators/contour/_uirevision.py
new file mode 100644
index 00000000000..dbdb41fe69a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="contour", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_visible.py b/packages/python/plotly/plotly/validators/contour/_visible.py
new file mode 100644
index 00000000000..b12c425593e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="contour", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_x.py b/packages/python/plotly/plotly/validators/contour/_x.py
new file mode 100644
index 00000000000..b62d4a40658
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_x.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="contour", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_x0.py b/packages/python/plotly/plotly/validators/contour/_x0.py
new file mode 100644
index 00000000000..1320ba723d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_x0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="contour", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_xaxis.py b/packages/python/plotly/plotly/validators/contour/_xaxis.py
new file mode 100644
index 00000000000..f983786bde0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="contour", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_xcalendar.py b/packages/python/plotly/plotly/validators/contour/_xcalendar.py
new file mode 100644
index 00000000000..ce9792f1d8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="contour", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_xsrc.py b/packages/python/plotly/plotly/validators/contour/_xsrc.py
new file mode 100644
index 00000000000..a6833f7ef5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="contour", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_xtype.py b/packages/python/plotly/plotly/validators/contour/_xtype.py
new file mode 100644
index 00000000000..86df0da5867
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_xtype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xtype", parent_name="contour", **kwargs):
+        super(XtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_y.py b/packages/python/plotly/plotly/validators/contour/_y.py
new file mode 100644
index 00000000000..f52bade34ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_y.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="contour", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_y0.py b/packages/python/plotly/plotly/validators/contour/_y0.py
new file mode 100644
index 00000000000..590335a2f3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_y0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="contour", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_yaxis.py b/packages/python/plotly/plotly/validators/contour/_yaxis.py
new file mode 100644
index 00000000000..dc2d458307d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="contour", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_ycalendar.py b/packages/python/plotly/plotly/validators/contour/_ycalendar.py
new file mode 100644
index 00000000000..3f52b146e99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="contour", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_ysrc.py b/packages/python/plotly/plotly/validators/contour/_ysrc.py
new file mode 100644
index 00000000000..fe0373a22ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="contour", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_ytype.py b/packages/python/plotly/plotly/validators/contour/_ytype.py
new file mode 100644
index 00000000000..2f172a1cb10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_ytype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ytype", parent_name="contour", **kwargs):
+        super(YtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_z.py b/packages/python/plotly/plotly/validators/contour/_z.py
new file mode 100644
index 00000000000..b0d5be62135
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="contour", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_zauto.py b/packages/python/plotly/plotly/validators/contour/_zauto.py
new file mode 100644
index 00000000000..581a00ed31a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="contour", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_zhoverformat.py b/packages/python/plotly/plotly/validators/contour/_zhoverformat.py
new file mode 100644
index 00000000000..3218776b57e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_zhoverformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="zhoverformat", parent_name="contour", **kwargs):
+        super(ZhoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_zmax.py b/packages/python/plotly/plotly/validators/contour/_zmax.py
new file mode 100644
index 00000000000..9d503eb2b30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="contour", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_zmid.py b/packages/python/plotly/plotly/validators/contour/_zmid.py
new file mode 100644
index 00000000000..ad48dc86c71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="contour", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_zmin.py b/packages/python/plotly/plotly/validators/contour/_zmin.py
new file mode 100644
index 00000000000..e75077260d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="contour", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/_zsrc.py b/packages/python/plotly/plotly/validators/contour/_zsrc.py
new file mode 100644
index 00000000000..02d685a2561
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="contour", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/__init__.py b/packages/python/plotly/plotly/validators/contour/colorbar/__init__.py
index f2321c55327..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/contour/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/__init__.py
@@ -1,738 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="contour.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="contour.colorbar", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="contour.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="contour.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="contour.colorbar", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="contour.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="contour.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="contour.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="contour.colorbar", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="contour.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="contour.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="contour.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="contour.colorbar", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="contour.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="contour.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="contour.colorbar", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="contour.colorbar", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="contour.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="contour.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="contour.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="contour.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="contour.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="contour.colorbar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/contour/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..a870f5f87cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="contour.colorbar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/contour/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..282f544d3aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="contour.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/contour/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..df85a61928c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="contour.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/contour/colorbar/_dtick.py
new file mode 100644
index 00000000000..041a130e3e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="contour.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/contour/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..ef12af3bb88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_len.py b/packages/python/plotly/plotly/validators/contour/colorbar/_len.py
new file mode 100644
index 00000000000..de308cec2a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="contour.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/contour/colorbar/_lenmode.py
new file mode 100644
index 00000000000..9ac4f1fe869
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="contour.colorbar", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/contour/colorbar/_nticks.py
new file mode 100644
index 00000000000..56d4abfefe0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="contour.colorbar", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/contour/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..77c99352e5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="contour.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/contour/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..db562806893
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="contour.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/contour/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..60154a31e30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="contour.colorbar", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/contour/colorbar/_showexponent.py
new file mode 100644
index 00000000000..e567a8f8911
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/contour/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..5ba4f70237a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/contour/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..d32ee2bcf1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/contour/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..6376a2e25e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/contour/colorbar/_thickness.py
new file mode 100644
index 00000000000..c79f3af4f25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/contour/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..b07b5a092b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="contour.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tick0.py
new file mode 100644
index 00000000000..f087a5b5f39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="contour.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickangle.py
new file mode 100644
index 00000000000..479177a0404
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..4c12e876f73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickfont.py
new file mode 100644
index 00000000000..db2b1bacc64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickformat.py
new file mode 100644
index 00000000000..12652acee3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..3466e8d9670
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="contour.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..853d1a3d616
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/contour/colorbar/_ticklen.py
new file mode 100644
index 00000000000..35ce5bc1545
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="contour.colorbar", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickmode.py
new file mode 100644
index 00000000000..1ea667ec58c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..0672aba08fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/contour/colorbar/_ticks.py
new file mode 100644
index 00000000000..bdd5ce5788a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="contour.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/contour/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..5329660362f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/contour/colorbar/_ticktext.py
new file mode 100644
index 00000000000..43b9827a692
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/contour/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..58731945192
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickvals.py
new file mode 100644
index 00000000000..f8307f14052
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..97f48b9e4f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/contour/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..b57c8cbe6a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="contour.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_title.py b/packages/python/plotly/plotly/validators/contour/colorbar/_title.py
new file mode 100644
index 00000000000..bd96febb021
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="contour.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_x.py b/packages/python/plotly/plotly/validators/contour/colorbar/_x.py
new file mode 100644
index 00000000000..e2c519d84d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="contour.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/contour/colorbar/_xanchor.py
new file mode 100644
index 00000000000..996cbbbc0b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="contour.colorbar", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/contour/colorbar/_xpad.py
new file mode 100644
index 00000000000..7b0de6004bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="contour.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_y.py b/packages/python/plotly/plotly/validators/contour/colorbar/_y.py
new file mode 100644
index 00000000000..d7492f407d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="contour.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/contour/colorbar/_yanchor.py
new file mode 100644
index 00000000000..a52b75c478f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="contour.colorbar", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/contour/colorbar/_ypad.py
new file mode 100644
index 00000000000..edfedc3afe3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="contour.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/__init__.py
index fa5b297d3bc..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="contour.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="contour.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="contour.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..3f42bb8dbe4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="contour.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..51f55e1f54f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="contour.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..8d476c4e38c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="contour.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/__init__.py
index 9bc2a637b63..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="contour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="contour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="contour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="contour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="contour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..e32b3b4aba4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="contour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..bff9b959357
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="contour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..22b14e3bd52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="contour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..09248373cac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="contour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..ae18174d2db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="contour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/__init__.py
index 26eda99b926..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/contour/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="contour.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="contour.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="contour.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/_font.py
new file mode 100644
index 00000000000..7a6339cb60d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="contour.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/_side.py
new file mode 100644
index 00000000000..151ecc52c95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="contour.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/_text.py
new file mode 100644
index 00000000000..beba87cb2f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="contour.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/__init__.py
index 9c786f237d2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/contour/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="contour.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="contour.colorbar.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="contour.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..42f7e593bee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="contour.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..60f4b43857d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="contour.colorbar.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..2b6383a8a7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="contour.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/__init__.py b/packages/python/plotly/plotly/validators/contour/contours/__init__.py
index 654bfaad098..4ffb01aee3d 100644
--- a/packages/python/plotly/plotly/validators/contour/contours/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/contours/__init__.py
@@ -1,213 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="value", parent_name="contour.contours", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="contour.contours", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["levels", "constraint"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="start", parent_name="contour.contours", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="contour.contours", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlines", parent_name="contour.contours", **kwargs
-    ):
-        super(ShowlinesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlabels", parent_name="contour.contours", **kwargs
-    ):
-        super(ShowlabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OperationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="operation", parent_name="contour.contours", **kwargs
-    ):
-        super(OperationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "=",
-                    "<",
-                    ">=",
-                    ">",
-                    "<=",
-                    "[]",
-                    "()",
-                    "[)",
-                    "(]",
-                    "][",
-                    ")(",
-                    "](",
-                    ")[",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="labelformat", parent_name="contour.contours", **kwargs
-    ):
-        super(LabelformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="labelfont", parent_name="contour.contours", **kwargs
-    ):
-        super(LabelfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="end", parent_name="contour.contours", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoringValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="coloring", parent_name="contour.contours", **kwargs
-    ):
-        super(ColoringValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fill", "heatmap", "lines", "none"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._showlines import ShowlinesValidator
+    from ._showlabels import ShowlabelsValidator
+    from ._operation import OperationValidator
+    from ._labelformat import LabelformatValidator
+    from ._labelfont import LabelfontValidator
+    from ._end import EndValidator
+    from ._coloring import ColoringValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._start.StartValidator",
+            "._size.SizeValidator",
+            "._showlines.ShowlinesValidator",
+            "._showlabels.ShowlabelsValidator",
+            "._operation.OperationValidator",
+            "._labelformat.LabelformatValidator",
+            "._labelfont.LabelfontValidator",
+            "._end.EndValidator",
+            "._coloring.ColoringValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_coloring.py b/packages/python/plotly/plotly/validators/contour/contours/_coloring.py
new file mode 100644
index 00000000000..12605ae715a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_coloring.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColoringValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="coloring", parent_name="contour.contours", **kwargs
+    ):
+        super(ColoringValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fill", "heatmap", "lines", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_end.py b/packages/python/plotly/plotly/validators/contour/contours/_end.py
new file mode 100644
index 00000000000..b486888ab6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_end.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="end", parent_name="contour.contours", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_labelfont.py b/packages/python/plotly/plotly/validators/contour/contours/_labelfont.py
new file mode 100644
index 00000000000..0b000716646
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_labelfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="labelfont", parent_name="contour.contours", **kwargs
+    ):
+        super(LabelfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_labelformat.py b/packages/python/plotly/plotly/validators/contour/contours/_labelformat.py
new file mode 100644
index 00000000000..e4bb82f63c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_labelformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="labelformat", parent_name="contour.contours", **kwargs
+    ):
+        super(LabelformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_operation.py b/packages/python/plotly/plotly/validators/contour/contours/_operation.py
new file mode 100644
index 00000000000..6794c79ac15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_operation.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class OperationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="operation", parent_name="contour.contours", **kwargs
+    ):
+        super(OperationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "=",
+                    "<",
+                    ">=",
+                    ">",
+                    "<=",
+                    "[]",
+                    "()",
+                    "[)",
+                    "(]",
+                    "][",
+                    ")(",
+                    "](",
+                    ")[",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_showlabels.py b/packages/python/plotly/plotly/validators/contour/contours/_showlabels.py
new file mode 100644
index 00000000000..d5862f73e76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_showlabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlabels", parent_name="contour.contours", **kwargs
+    ):
+        super(ShowlabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_showlines.py b/packages/python/plotly/plotly/validators/contour/contours/_showlines.py
new file mode 100644
index 00000000000..ee822c1b721
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_showlines.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlines", parent_name="contour.contours", **kwargs
+    ):
+        super(ShowlinesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_size.py b/packages/python/plotly/plotly/validators/contour/contours/_size.py
new file mode 100644
index 00000000000..2875e66ba35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="contour.contours", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_start.py b/packages/python/plotly/plotly/validators/contour/contours/_start.py
new file mode 100644
index 00000000000..a89a024dd43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_start.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="start", parent_name="contour.contours", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_type.py b/packages/python/plotly/plotly/validators/contour/contours/_type.py
new file mode 100644
index 00000000000..64c7470a842
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="contour.contours", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["levels", "constraint"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/_value.py b/packages/python/plotly/plotly/validators/contour/contours/_value.py
new file mode 100644
index 00000000000..9d8492c9983
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/_value.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="value", parent_name="contour.contours", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/labelfont/__init__.py b/packages/python/plotly/plotly/validators/contour/contours/labelfont/__init__.py
index 531839c2867..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/contour/contours/labelfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/contours/labelfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="contour.contours.labelfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="contour.contours.labelfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="contour.contours.labelfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/labelfont/_color.py b/packages/python/plotly/plotly/validators/contour/contours/labelfont/_color.py
new file mode 100644
index 00000000000..36ce2dfb16b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/labelfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="contour.contours.labelfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/labelfont/_family.py b/packages/python/plotly/plotly/validators/contour/contours/labelfont/_family.py
new file mode 100644
index 00000000000..39bbf4eea52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/labelfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="contour.contours.labelfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/contours/labelfont/_size.py b/packages/python/plotly/plotly/validators/contour/contours/labelfont/_size.py
new file mode 100644
index 00000000000..ea65cfdb07c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/contours/labelfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="contour.contours.labelfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/__init__.py
index 494d8f33b34..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/contour/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="contour.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="contour.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="contour.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_align.py
new file mode 100644
index 00000000000..7e2624a2b6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="contour.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..46fb95b7b61
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..4e0848e9a45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..46f1cd3baef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..68f3c241d1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..7c29ec37173
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_font.py
new file mode 100644
index 00000000000..8c7b32e9d0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="contour.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..8c37bc8878d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..bc879665aa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="contour.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/__init__.py
index 47bc4bff755..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="contour.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="contour.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="contour.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="contour.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="contour.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="contour.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..ec8dc31b1e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="contour.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..40d9a1bfa34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="contour.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..22aa4fc1db2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="contour.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..f437713bf0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="contour.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..bcdf9b6dbf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="contour.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..ef6cc2ecc3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="contour.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/line/__init__.py b/packages/python/plotly/plotly/validators/contour/line/__init__.py
index 44eb4b5fa50..a7e94c9a18d 100644
--- a/packages/python/plotly/plotly/validators/contour/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/line/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="contour.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style+colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="smoothing", parent_name="contour.line", **kwargs):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="contour.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="contour.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style+colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/line/_color.py b/packages/python/plotly/plotly/validators/contour/line/_color.py
new file mode 100644
index 00000000000..396e8eddbdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="contour.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style+colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/line/_dash.py b/packages/python/plotly/plotly/validators/contour/line/_dash.py
new file mode 100644
index 00000000000..b3e8dd9f0c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="contour.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/line/_smoothing.py b/packages/python/plotly/plotly/validators/contour/line/_smoothing.py
new file mode 100644
index 00000000000..a8be6f1db0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/line/_smoothing.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="smoothing", parent_name="contour.line", **kwargs):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/line/_width.py b/packages/python/plotly/plotly/validators/contour/line/_width.py
new file mode 100644
index 00000000000..db08aad8fc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="contour.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style+colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/stream/__init__.py b/packages/python/plotly/plotly/validators/contour/stream/__init__.py
index 42a8346a1b6..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/contour/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/contour/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="contour.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="contour.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/contour/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/contour/stream/_maxpoints.py
new file mode 100644
index 00000000000..10d52778070
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="contour.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contour/stream/_token.py b/packages/python/plotly/plotly/validators/contour/stream/_token.py
new file mode 100644
index 00000000000..d0a0a478423
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contour/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="contour.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/__init__.py
index e64b9eaab37..f45833f6189 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/__init__.py
@@ -1,1036 +1,110 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="contourcarpet", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="contourcarpet", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="contourcarpet", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="contourcarpet", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="contourcarpet", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="contourcarpet", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="contourcarpet", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="contourcarpet", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="contourcarpet", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="contourcarpet", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="contourcarpet", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="transpose", parent_name="contourcarpet", **kwargs):
-        super(TransposeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="contourcarpet", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="contourcarpet", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="contourcarpet", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="contourcarpet", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="contourcarpet", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="contourcarpet", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="contourcarpet", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="ncontours", parent_name="contourcarpet", **kwargs):
-        super(NcontoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="contourcarpet", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="contourcarpet", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="contourcarpet", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="contourcarpet", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour level. Has no
-                effect if `contours.coloring` is set to
-                "lines".
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            smoothing
-                Sets the amount of smoothing for the contour
-                lines, where 0 corresponds to no smoothing.
-            width
-                Sets the contour line width in (in px) Defaults
-                to 0.5 when `contours.type` is "levels".
-                Defaults to 2 when `contour.type` is
-                "constraint".
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="contourcarpet", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="contourcarpet", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="contourcarpet", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="contourcarpet", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="contourcarpet", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="contourcarpet", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "contourcarpet.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DbValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="db", parent_name="contourcarpet", **kwargs):
-        super(DbValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DaValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="da", parent_name="contourcarpet", **kwargs):
-        super(DaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="contourcarpet", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="contourcarpet", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contours", parent_name="contourcarpet", **kwargs):
-        super(ContoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contours"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            coloring
-                Determines the coloring method showing the
-                contour values. If "fill", coloring is done
-                evenly between each contour level If "lines",
-                coloring is done on the contour lines. If
-                "none", no coloring is applied on this trace.
-            end
-                Sets the end contour level value. Must be more
-                than `contours.start`
-            labelfont
-                Sets the font used for labeling the contour
-                levels. The default color comes from the lines,
-                if shown. The default family and size come from
-                `layout.font`.
-            labelformat
-                Sets the contour label formatting rule using d3
-                formatting mini-language which is very similar
-                to Python, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            operation
-                Sets the constraint operation. "=" keeps
-                regions equal to `value` "<" and "<=" keep
-                regions less than `value` ">" and ">=" keep
-                regions greater than `value` "[]", "()", "[)",
-                and "(]" keep regions inside `value[0]` to
-                `value[1]` "][", ")(", "](", ")[" keep regions
-                outside `value[0]` to value[1]` Open vs. closed
-                intervals make no difference to constraint
-                display, but all versions are allowed for
-                consistency with filter transforms.
-            showlabels
-                Determines whether to label the contour lines
-                with their values.
-            showlines
-                Determines whether or not the contour lines are
-                drawn. Has an effect only if
-                `contours.coloring` is set to "fill".
-            size
-                Sets the step between each contour level. Must
-                be positive.
-            start
-                Sets the starting contour level value. Must be
-                less than `contours.end`
-            type
-                If `levels`, the data is represented as a
-                contour plot with multiple levels displayed. If
-                `constraint`, the data is represented as
-                constraints with the invalid region shaded as
-                specified by the `operation` and `value`
-                parameters.
-            value
-                Sets the value or values of the constraint
-                boundary. When `operation` is set to one of the
-                comparison values (=,<,>=,>,<=) "value" is
-                expected to be a number. When `operation` is
-                set to one of the interval values
-                ([],(),[),(],][,)(,](,)[) "value" is expected
-                to be an array of two numbers where the first
-                is the lower bound and the second is the upper
-                bound.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="contourcarpet", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="contourcarpet", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.contour
-                carpet.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.contourcarpet.colorbar.tickformatstopdefaults
-                ), sets the default property values to use for
-                elements of
-                contourcarpet.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.contourcarpet.colo
-                rbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                contourcarpet.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                contourcarpet.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="contourcarpet", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="carpet", parent_name="contourcarpet", **kwargs):
-        super(CarpetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="btype", parent_name="contourcarpet", **kwargs):
-        super(BtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="bsrc", parent_name="contourcarpet", **kwargs):
-        super(BsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class B0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="b0", parent_name="contourcarpet", **kwargs):
-        super(B0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="b", parent_name="contourcarpet", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocontour", parent_name="contourcarpet", **kwargs
-    ):
-        super(AutocontourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="contourcarpet", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="atype", parent_name="contourcarpet", **kwargs):
-        super(AtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="asrc", parent_name="contourcarpet", **kwargs):
-        super(AsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class A0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="a0", parent_name="contourcarpet", **kwargs):
-        super(A0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="a", parent_name="contourcarpet", **kwargs):
-        super(AValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._yaxis import YaxisValidator
+    from ._xaxis import XaxisValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._transpose import TransposeValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._ncontours import NcontoursValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._fillcolor import FillcolorValidator
+    from ._db import DbValidator
+    from ._da import DaValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contours import ContoursValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._carpet import CarpetValidator
+    from ._btype import BtypeValidator
+    from ._bsrc import BsrcValidator
+    from ._b0 import B0Validator
+    from ._b import BValidator
+    from ._autocontour import AutocontourValidator
+    from ._autocolorscale import AutocolorscaleValidator
+    from ._atype import AtypeValidator
+    from ._asrc import AsrcValidator
+    from ._a0 import A0Validator
+    from ._a import AValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._yaxis.YaxisValidator",
+            "._xaxis.XaxisValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._transpose.TransposeValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._ncontours.NcontoursValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._fillcolor.FillcolorValidator",
+            "._db.DbValidator",
+            "._da.DaValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contours.ContoursValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._carpet.CarpetValidator",
+            "._btype.BtypeValidator",
+            "._bsrc.BsrcValidator",
+            "._b0.B0Validator",
+            "._b.BValidator",
+            "._autocontour.AutocontourValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+            "._atype.AtypeValidator",
+            "._asrc.AsrcValidator",
+            "._a0.A0Validator",
+            "._a.AValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_a.py b/packages/python/plotly/plotly/validators/contourcarpet/_a.py
new file mode 100644
index 00000000000..24d95cf6520
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_a.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="a", parent_name="contourcarpet", **kwargs):
+        super(AValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_a0.py b/packages/python/plotly/plotly/validators/contourcarpet/_a0.py
new file mode 100644
index 00000000000..32d92a8e2c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_a0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class A0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="a0", parent_name="contourcarpet", **kwargs):
+        super(A0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_asrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_asrc.py
new file mode 100644
index 00000000000..57a2d0d58e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_asrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="asrc", parent_name="contourcarpet", **kwargs):
+        super(AsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_atype.py b/packages/python/plotly/plotly/validators/contourcarpet/_atype.py
new file mode 100644
index 00000000000..ec68cd4f20b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_atype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="atype", parent_name="contourcarpet", **kwargs):
+        super(AtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_autocolorscale.py b/packages/python/plotly/plotly/validators/contourcarpet/_autocolorscale.py
new file mode 100644
index 00000000000..2f4f3ca34ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="contourcarpet", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_autocontour.py b/packages/python/plotly/plotly/validators/contourcarpet/_autocontour.py
new file mode 100644
index 00000000000..d94ae82a034
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_autocontour.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocontour", parent_name="contourcarpet", **kwargs
+    ):
+        super(AutocontourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_b.py b/packages/python/plotly/plotly/validators/contourcarpet/_b.py
new file mode 100644
index 00000000000..fb0036d4134
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_b.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="b", parent_name="contourcarpet", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_b0.py b/packages/python/plotly/plotly/validators/contourcarpet/_b0.py
new file mode 100644
index 00000000000..028d11969e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_b0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class B0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="b0", parent_name="contourcarpet", **kwargs):
+        super(B0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_bsrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_bsrc.py
new file mode 100644
index 00000000000..7c5af4ac9fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_bsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="bsrc", parent_name="contourcarpet", **kwargs):
+        super(BsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_btype.py b/packages/python/plotly/plotly/validators/contourcarpet/_btype.py
new file mode 100644
index 00000000000..9d4350007c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_btype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="btype", parent_name="contourcarpet", **kwargs):
+        super(BtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_carpet.py b/packages/python/plotly/plotly/validators/contourcarpet/_carpet.py
new file mode 100644
index 00000000000..ad77faf0490
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_carpet.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="carpet", parent_name="contourcarpet", **kwargs):
+        super(CarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_coloraxis.py b/packages/python/plotly/plotly/validators/contourcarpet/_coloraxis.py
new file mode 100644
index 00000000000..db4de30d889
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="contourcarpet", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_colorbar.py b/packages/python/plotly/plotly/validators/contourcarpet/_colorbar.py
new file mode 100644
index 00000000000..16c9f061e80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="contourcarpet", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.contour
+                carpet.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.contourcarpet.colorbar.tickformatstopdefaults
+                ), sets the default property values to use for
+                elements of
+                contourcarpet.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.contourcarpet.colo
+                rbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                contourcarpet.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                contourcarpet.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_colorscale.py b/packages/python/plotly/plotly/validators/contourcarpet/_colorscale.py
new file mode 100644
index 00000000000..1760cc481c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="contourcarpet", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_contours.py b/packages/python/plotly/plotly/validators/contourcarpet/_contours.py
new file mode 100644
index 00000000000..c9f00882a60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_contours.py
@@ -0,0 +1,77 @@
+import _plotly_utils.basevalidators
+
+
+class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contours", parent_name="contourcarpet", **kwargs):
+        super(ContoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contours"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            coloring
+                Determines the coloring method showing the
+                contour values. If "fill", coloring is done
+                evenly between each contour level If "lines",
+                coloring is done on the contour lines. If
+                "none", no coloring is applied on this trace.
+            end
+                Sets the end contour level value. Must be more
+                than `contours.start`
+            labelfont
+                Sets the font used for labeling the contour
+                levels. The default color comes from the lines,
+                if shown. The default family and size come from
+                `layout.font`.
+            labelformat
+                Sets the contour label formatting rule using d3
+                formatting mini-language which is very similar
+                to Python, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            operation
+                Sets the constraint operation. "=" keeps
+                regions equal to `value` "<" and "<=" keep
+                regions less than `value` ">" and ">=" keep
+                regions greater than `value` "[]", "()", "[)",
+                and "(]" keep regions inside `value[0]` to
+                `value[1]` "][", ")(", "](", ")[" keep regions
+                outside `value[0]` to value[1]` Open vs. closed
+                intervals make no difference to constraint
+                display, but all versions are allowed for
+                consistency with filter transforms.
+            showlabels
+                Determines whether to label the contour lines
+                with their values.
+            showlines
+                Determines whether or not the contour lines are
+                drawn. Has an effect only if
+                `contours.coloring` is set to "fill".
+            size
+                Sets the step between each contour level. Must
+                be positive.
+            start
+                Sets the starting contour level value. Must be
+                less than `contours.end`
+            type
+                If `levels`, the data is represented as a
+                contour plot with multiple levels displayed. If
+                `constraint`, the data is represented as
+                constraints with the invalid region shaded as
+                specified by the `operation` and `value`
+                parameters.
+            value
+                Sets the value or values of the constraint
+                boundary. When `operation` is set to one of the
+                comparison values (=,<,>=,>,<=) "value" is
+                expected to be a number. When `operation` is
+                set to one of the interval values
+                ([],(),[),(],][,)(,](,)[) "value" is expected
+                to be an array of two numbers where the first
+                is the lower bound and the second is the upper
+                bound.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_customdata.py b/packages/python/plotly/plotly/validators/contourcarpet/_customdata.py
new file mode 100644
index 00000000000..4b22b439127
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="contourcarpet", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_customdatasrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_customdatasrc.py
new file mode 100644
index 00000000000..3a59a45a2af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="contourcarpet", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_da.py b/packages/python/plotly/plotly/validators/contourcarpet/_da.py
new file mode 100644
index 00000000000..cba5b889197
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_da.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DaValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="da", parent_name="contourcarpet", **kwargs):
+        super(DaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_db.py b/packages/python/plotly/plotly/validators/contourcarpet/_db.py
new file mode 100644
index 00000000000..2ffa059d615
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_db.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DbValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="db", parent_name="contourcarpet", **kwargs):
+        super(DbValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_fillcolor.py b/packages/python/plotly/plotly/validators/contourcarpet/_fillcolor.py
new file mode 100644
index 00000000000..ee6ed3ec830
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_fillcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="contourcarpet", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "contourcarpet.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_hovertext.py b/packages/python/plotly/plotly/validators/contourcarpet/_hovertext.py
new file mode 100644
index 00000000000..91f50d3d4c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_hovertext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="contourcarpet", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_hovertextsrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_hovertextsrc.py
new file mode 100644
index 00000000000..d1892be564c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="contourcarpet", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_ids.py b/packages/python/plotly/plotly/validators/contourcarpet/_ids.py
new file mode 100644
index 00000000000..a93760ca46c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="contourcarpet", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_idssrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_idssrc.py
new file mode 100644
index 00000000000..2d5676dd9e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="contourcarpet", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_legendgroup.py b/packages/python/plotly/plotly/validators/contourcarpet/_legendgroup.py
new file mode 100644
index 00000000000..21f0ab34600
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="contourcarpet", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_line.py b/packages/python/plotly/plotly/validators/contourcarpet/_line.py
new file mode 100644
index 00000000000..3c6463c98af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_line.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="contourcarpet", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour level. Has no
+                effect if `contours.coloring` is set to
+                "lines".
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            smoothing
+                Sets the amount of smoothing for the contour
+                lines, where 0 corresponds to no smoothing.
+            width
+                Sets the contour line width in (in px) Defaults
+                to 0.5 when `contours.type` is "levels".
+                Defaults to 2 when `contour.type` is
+                "constraint".
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_meta.py b/packages/python/plotly/plotly/validators/contourcarpet/_meta.py
new file mode 100644
index 00000000000..9c48c451f25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="contourcarpet", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_metasrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_metasrc.py
new file mode 100644
index 00000000000..93b83b7fdf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="contourcarpet", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_name.py b/packages/python/plotly/plotly/validators/contourcarpet/_name.py
new file mode 100644
index 00000000000..c423e351c38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="contourcarpet", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_ncontours.py b/packages/python/plotly/plotly/validators/contourcarpet/_ncontours.py
new file mode 100644
index 00000000000..e1d8735f024
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_ncontours.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="ncontours", parent_name="contourcarpet", **kwargs):
+        super(NcontoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_opacity.py b/packages/python/plotly/plotly/validators/contourcarpet/_opacity.py
new file mode 100644
index 00000000000..a32e7231fbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="contourcarpet", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_reversescale.py b/packages/python/plotly/plotly/validators/contourcarpet/_reversescale.py
new file mode 100644
index 00000000000..8155af22135
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="contourcarpet", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_showlegend.py b/packages/python/plotly/plotly/validators/contourcarpet/_showlegend.py
new file mode 100644
index 00000000000..cd26d2b4a4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="contourcarpet", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_showscale.py b/packages/python/plotly/plotly/validators/contourcarpet/_showscale.py
new file mode 100644
index 00000000000..3d299de5d57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="contourcarpet", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_stream.py b/packages/python/plotly/plotly/validators/contourcarpet/_stream.py
new file mode 100644
index 00000000000..e73ae142f25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="contourcarpet", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_text.py b/packages/python/plotly/plotly/validators/contourcarpet/_text.py
new file mode 100644
index 00000000000..f4b5d000ff6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="contourcarpet", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_textsrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_textsrc.py
new file mode 100644
index 00000000000..52ca4574a6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="contourcarpet", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_transpose.py b/packages/python/plotly/plotly/validators/contourcarpet/_transpose.py
new file mode 100644
index 00000000000..3d4f6a6b9bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_transpose.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="transpose", parent_name="contourcarpet", **kwargs):
+        super(TransposeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_uid.py b/packages/python/plotly/plotly/validators/contourcarpet/_uid.py
new file mode 100644
index 00000000000..698ea23b426
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="contourcarpet", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_uirevision.py b/packages/python/plotly/plotly/validators/contourcarpet/_uirevision.py
new file mode 100644
index 00000000000..318d88d7ce7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="contourcarpet", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_visible.py b/packages/python/plotly/plotly/validators/contourcarpet/_visible.py
new file mode 100644
index 00000000000..3b0b51658bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="contourcarpet", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_xaxis.py b/packages/python/plotly/plotly/validators/contourcarpet/_xaxis.py
new file mode 100644
index 00000000000..b65a1409785
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="contourcarpet", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_yaxis.py b/packages/python/plotly/plotly/validators/contourcarpet/_yaxis.py
new file mode 100644
index 00000000000..5d0c9df8b08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="contourcarpet", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_z.py b/packages/python/plotly/plotly/validators/contourcarpet/_z.py
new file mode 100644
index 00000000000..ee8ded17e77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="contourcarpet", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_zauto.py b/packages/python/plotly/plotly/validators/contourcarpet/_zauto.py
new file mode 100644
index 00000000000..1a6ee47625f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="contourcarpet", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_zmax.py b/packages/python/plotly/plotly/validators/contourcarpet/_zmax.py
new file mode 100644
index 00000000000..d1a4d4928a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="contourcarpet", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_zmid.py b/packages/python/plotly/plotly/validators/contourcarpet/_zmid.py
new file mode 100644
index 00000000000..d7a84ae8c93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="contourcarpet", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_zmin.py b/packages/python/plotly/plotly/validators/contourcarpet/_zmin.py
new file mode 100644
index 00000000000..19e9d26619e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="contourcarpet", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/_zsrc.py b/packages/python/plotly/plotly/validators/contourcarpet/_zsrc.py
new file mode 100644
index 00000000000..b3f546d6f27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="contourcarpet", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/__init__.py
index 4a415590bba..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/__init__.py
@@ -1,785 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="contourcarpet.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="contourcarpet.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="contourcarpet.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="contourcarpet.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..cb7617f9e1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..2a473c20bda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..c3c6482f9c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_dtick.py
new file mode 100644
index 00000000000..1073449dd1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..de172df664d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_len.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_len.py
new file mode 100644
index 00000000000..a157a16d50e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_lenmode.py
new file mode 100644
index 00000000000..526dbd9c50d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_nticks.py
new file mode 100644
index 00000000000..0e591cdeb77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..15596b65a65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..904b797f70e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..830212d308f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showexponent.py
new file mode 100644
index 00000000000..3716e08daec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..a234e89229e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..5fbfc8a34ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..138105a17ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_thickness.py
new file mode 100644
index 00000000000..b6d82dcfae5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..e7bf3882a54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tick0.py
new file mode 100644
index 00000000000..05b4fe15c3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickangle.py
new file mode 100644
index 00000000000..c7454079a56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..cdb8f88082c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickfont.py
new file mode 100644
index 00000000000..0638caec7a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformat.py
new file mode 100644
index 00000000000..2fdb84986fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..d6d89b2efb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..05337079ae0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="contourcarpet.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticklen.py
new file mode 100644
index 00000000000..1421a071b48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickmode.py
new file mode 100644
index 00000000000..94702521c53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..eb3447b3092
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticks.py
new file mode 100644
index 00000000000..96e862adb07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..7d202650d29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticktext.py
new file mode 100644
index 00000000000..a73de465889
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..7f091712a71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickvals.py
new file mode 100644
index 00000000000..9ded588c43d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..8e2ad55e273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..d0992796d53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_title.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_title.py
new file mode 100644
index 00000000000..7c1ae0b634d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_x.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_x.py
new file mode 100644
index 00000000000..d3cdc807cce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="contourcarpet.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_xanchor.py
new file mode 100644
index 00000000000..0fab04a7d4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_xpad.py
new file mode 100644
index 00000000000..4273c8c937f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_y.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_y.py
new file mode 100644
index 00000000000..8e85e06c598
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="contourcarpet.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_yanchor.py
new file mode 100644
index 00000000000..21020f93a6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ypad.py
new file mode 100644
index 00000000000..29798f7eb57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="contourcarpet.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/__init__.py
index 0ab06b32ad8..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="contourcarpet.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="contourcarpet.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="contourcarpet.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..0c8c11009cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="contourcarpet.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..86daa9b2f08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="contourcarpet.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..500faf55f42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="contourcarpet.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/__init__.py
index 9c89fa75eda..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="contourcarpet.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="contourcarpet.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="contourcarpet.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="contourcarpet.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="contourcarpet.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..33e3efc5fdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="contourcarpet.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..35e307e825c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="contourcarpet.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..af8d4c63d6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="contourcarpet.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..2f06b8b49ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="contourcarpet.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..ae5d02aed1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="contourcarpet.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/__init__.py
index 65b74f6827e..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="contourcarpet.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="contourcarpet.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="contourcarpet.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_font.py
new file mode 100644
index 00000000000..1bf1a18a9cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="contourcarpet.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_side.py
new file mode 100644
index 00000000000..caa2c53448b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="contourcarpet.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_text.py
new file mode 100644
index 00000000000..e624964dddf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="contourcarpet.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/__init__.py
index 196393d4d19..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="contourcarpet.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="contourcarpet.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="contourcarpet.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..d7132162f00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="contourcarpet.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..8d893412cda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="contourcarpet.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..14f3e6ac3ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="contourcarpet.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/__init__.py
index 804529ec334..4ffb01aee3d 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/contours/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/__init__.py
@@ -1,223 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["levels", "constraint"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="start", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlines", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(ShowlinesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlabels", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(ShowlabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OperationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="operation", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(OperationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "=",
-                    "<",
-                    ">=",
-                    ">",
-                    "<=",
-                    "[]",
-                    "()",
-                    "[)",
-                    "(]",
-                    "][",
-                    ")(",
-                    "](",
-                    ")[",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="labelformat", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(LabelformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="labelfont", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(LabelfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="end", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoringValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="coloring", parent_name="contourcarpet.contours", **kwargs
-    ):
-        super(ColoringValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fill", "lines", "none"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._showlines import ShowlinesValidator
+    from ._showlabels import ShowlabelsValidator
+    from ._operation import OperationValidator
+    from ._labelformat import LabelformatValidator
+    from ._labelfont import LabelfontValidator
+    from ._end import EndValidator
+    from ._coloring import ColoringValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._start.StartValidator",
+            "._size.SizeValidator",
+            "._showlines.ShowlinesValidator",
+            "._showlabels.ShowlabelsValidator",
+            "._operation.OperationValidator",
+            "._labelformat.LabelformatValidator",
+            "._labelfont.LabelfontValidator",
+            "._end.EndValidator",
+            "._coloring.ColoringValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_coloring.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_coloring.py
new file mode 100644
index 00000000000..fdb9a259e0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_coloring.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColoringValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="coloring", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(ColoringValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fill", "lines", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_end.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_end.py
new file mode 100644
index 00000000000..7666fa1f528
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_end.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="end", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_labelfont.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_labelfont.py
new file mode 100644
index 00000000000..5751b895c35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_labelfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="labelfont", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(LabelfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_labelformat.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_labelformat.py
new file mode 100644
index 00000000000..b5dee508498
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_labelformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="labelformat", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(LabelformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_operation.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_operation.py
new file mode 100644
index 00000000000..24c978c0102
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_operation.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class OperationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="operation", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(OperationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "=",
+                    "<",
+                    ">=",
+                    ">",
+                    "<=",
+                    "[]",
+                    "()",
+                    "[)",
+                    "(]",
+                    "][",
+                    ")(",
+                    "](",
+                    ")[",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_showlabels.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_showlabels.py
new file mode 100644
index 00000000000..e2392cf955c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_showlabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlabels", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(ShowlabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_showlines.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_showlines.py
new file mode 100644
index 00000000000..4b8ab98b0c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_showlines.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlines", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(ShowlinesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_size.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_size.py
new file mode 100644
index 00000000000..230de87864a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_start.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_start.py
new file mode 100644
index 00000000000..1261905f8ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_start.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="start", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_type.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_type.py
new file mode 100644
index 00000000000..1574a280da9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["levels", "constraint"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/_value.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/_value.py
new file mode 100644
index 00000000000..b0ee22553ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="contourcarpet.contours", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/__init__.py
index c81c9ce64d4..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="contourcarpet.contours.labelfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="contourcarpet.contours.labelfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="contourcarpet.contours.labelfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_color.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_color.py
new file mode 100644
index 00000000000..e8cc12046d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="contourcarpet.contours.labelfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_family.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_family.py
new file mode 100644
index 00000000000..b35d5294f90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="contourcarpet.contours.labelfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_size.py b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_size.py
new file mode 100644
index 00000000000..3646e2500b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="contourcarpet.contours.labelfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/line/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/line/__init__.py
index 5fc239431b4..a7e94c9a18d 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/line/__init__.py
@@ -1,62 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="contourcarpet.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style+colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="smoothing", parent_name="contourcarpet.line", **kwargs
-    ):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="contourcarpet.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="contourcarpet.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style+colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/line/_color.py b/packages/python/plotly/plotly/validators/contourcarpet/line/_color.py
new file mode 100644
index 00000000000..04d26e1fb89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="contourcarpet.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style+colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/line/_dash.py b/packages/python/plotly/plotly/validators/contourcarpet/line/_dash.py
new file mode 100644
index 00000000000..c6287746714
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="contourcarpet.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/line/_smoothing.py b/packages/python/plotly/plotly/validators/contourcarpet/line/_smoothing.py
new file mode 100644
index 00000000000..e859a695460
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/line/_smoothing.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="smoothing", parent_name="contourcarpet.line", **kwargs
+    ):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/line/_width.py b/packages/python/plotly/plotly/validators/contourcarpet/line/_width.py
new file mode 100644
index 00000000000..7f391f3d6ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="contourcarpet.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style+colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/stream/__init__.py b/packages/python/plotly/plotly/validators/contourcarpet/stream/__init__.py
index 5668175ae73..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/contourcarpet/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/contourcarpet/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="contourcarpet.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="contourcarpet.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/contourcarpet/stream/_maxpoints.py
new file mode 100644
index 00000000000..99f96fa4a88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="contourcarpet.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/contourcarpet/stream/_token.py b/packages/python/plotly/plotly/validators/contourcarpet/stream/_token.py
new file mode 100644
index 00000000000..6d92ea97a89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/contourcarpet/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="contourcarpet.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/__init__.py
index 0f60b2ed013..61b6cd2c34e 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/__init__.py
@@ -1,905 +1,98 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="densitymapbox", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="densitymapbox", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="densitymapbox", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="densitymapbox", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="densitymapbox", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="densitymapbox", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="densitymapbox", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="densitymapbox", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="densitymapbox", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="densitymapbox", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="densitymapbox", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="densitymapbox", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "mapbox"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="densitymapbox", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="densitymapbox", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="densitymapbox", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="densitymapbox", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RadiussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="radiussrc", parent_name="densitymapbox", **kwargs):
-        super(RadiussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RadiusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="radius", parent_name="densitymapbox", **kwargs):
-        super(RadiusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="densitymapbox", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="densitymapbox", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="densitymapbox", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="densitymapbox", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="lonsrc", parent_name="densitymapbox", **kwargs):
-        super(LonsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lon", parent_name="densitymapbox", **kwargs):
-        super(LonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="densitymapbox", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="latsrc", parent_name="densitymapbox", **kwargs):
-        super(LatsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lat", parent_name="densitymapbox", **kwargs):
-        super(LatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="densitymapbox", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="densitymapbox", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="densitymapbox", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="densitymapbox", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="densitymapbox", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="densitymapbox", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="densitymapbox", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="densitymapbox", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="densitymapbox", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["lon", "lat", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="densitymapbox", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="densitymapbox", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="densitymapbox", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="densitymapbox", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.density
-                mapbox.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.densitymapbox.colorbar.tickformatstopdefaults
-                ), sets the default property values to use for
-                elements of
-                densitymapbox.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.densitymapbox.colo
-                rbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                densitymapbox.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                densitymapbox.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="densitymapbox", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BelowValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="below", parent_name="densitymapbox", **kwargs):
-        super(BelowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="densitymapbox", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._reversescale import ReversescaleValidator
+    from ._radiussrc import RadiussrcValidator
+    from ._radius import RadiusValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lonsrc import LonsrcValidator
+    from ._lon import LonValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._latsrc import LatsrcValidator
+    from ._lat import LatValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._below import BelowValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._reversescale.ReversescaleValidator",
+            "._radiussrc.RadiussrcValidator",
+            "._radius.RadiusValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lonsrc.LonsrcValidator",
+            "._lon.LonValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._latsrc.LatsrcValidator",
+            "._lat.LatValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._below.BelowValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_autocolorscale.py b/packages/python/plotly/plotly/validators/densitymapbox/_autocolorscale.py
new file mode 100644
index 00000000000..ff3947ad434
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="densitymapbox", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_below.py b/packages/python/plotly/plotly/validators/densitymapbox/_below.py
new file mode 100644
index 00000000000..fa0644a2862
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_below.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BelowValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="below", parent_name="densitymapbox", **kwargs):
+        super(BelowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_coloraxis.py b/packages/python/plotly/plotly/validators/densitymapbox/_coloraxis.py
new file mode 100644
index 00000000000..99c88798b05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="densitymapbox", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_colorbar.py b/packages/python/plotly/plotly/validators/densitymapbox/_colorbar.py
new file mode 100644
index 00000000000..78e73b30146
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="densitymapbox", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.density
+                mapbox.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.densitymapbox.colorbar.tickformatstopdefaults
+                ), sets the default property values to use for
+                elements of
+                densitymapbox.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.densitymapbox.colo
+                rbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                densitymapbox.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                densitymapbox.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_colorscale.py b/packages/python/plotly/plotly/validators/densitymapbox/_colorscale.py
new file mode 100644
index 00000000000..a12f353fdf2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="densitymapbox", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_customdata.py b/packages/python/plotly/plotly/validators/densitymapbox/_customdata.py
new file mode 100644
index 00000000000..ec6f692183d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="densitymapbox", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_customdatasrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_customdatasrc.py
new file mode 100644
index 00000000000..60fd20f1617
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="densitymapbox", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hoverinfo.py b/packages/python/plotly/plotly/validators/densitymapbox/_hoverinfo.py
new file mode 100644
index 00000000000..372a79ae4ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="densitymapbox", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["lon", "lat", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_hoverinfosrc.py
new file mode 100644
index 00000000000..a69c36e1d34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="densitymapbox", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hoverlabel.py b/packages/python/plotly/plotly/validators/densitymapbox/_hoverlabel.py
new file mode 100644
index 00000000000..1f63bd9bb75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="densitymapbox", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hovertemplate.py b/packages/python/plotly/plotly/validators/densitymapbox/_hovertemplate.py
new file mode 100644
index 00000000000..392522b2191
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="densitymapbox", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_hovertemplatesrc.py
new file mode 100644
index 00000000000..409a754f31a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="densitymapbox", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hovertext.py b/packages/python/plotly/plotly/validators/densitymapbox/_hovertext.py
new file mode 100644
index 00000000000..113d90d0499
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="densitymapbox", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_hovertextsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_hovertextsrc.py
new file mode 100644
index 00000000000..41b8e5c6f2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="densitymapbox", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_ids.py b/packages/python/plotly/plotly/validators/densitymapbox/_ids.py
new file mode 100644
index 00000000000..adda417deae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="densitymapbox", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_idssrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_idssrc.py
new file mode 100644
index 00000000000..a67ffbda829
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="densitymapbox", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_lat.py b/packages/python/plotly/plotly/validators/densitymapbox/_lat.py
new file mode 100644
index 00000000000..bd9c3b8342b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_lat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lat", parent_name="densitymapbox", **kwargs):
+        super(LatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_latsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_latsrc.py
new file mode 100644
index 00000000000..0a036e11480
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_latsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="latsrc", parent_name="densitymapbox", **kwargs):
+        super(LatsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_legendgroup.py b/packages/python/plotly/plotly/validators/densitymapbox/_legendgroup.py
new file mode 100644
index 00000000000..f5ce680c421
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="densitymapbox", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_lon.py b/packages/python/plotly/plotly/validators/densitymapbox/_lon.py
new file mode 100644
index 00000000000..f068bb60dd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_lon.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lon", parent_name="densitymapbox", **kwargs):
+        super(LonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_lonsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_lonsrc.py
new file mode 100644
index 00000000000..686b67f01b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_lonsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="lonsrc", parent_name="densitymapbox", **kwargs):
+        super(LonsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_meta.py b/packages/python/plotly/plotly/validators/densitymapbox/_meta.py
new file mode 100644
index 00000000000..70d5011bec6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="densitymapbox", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_metasrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_metasrc.py
new file mode 100644
index 00000000000..b44680dc3b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="densitymapbox", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_name.py b/packages/python/plotly/plotly/validators/densitymapbox/_name.py
new file mode 100644
index 00000000000..ab5737aeec8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="densitymapbox", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_opacity.py b/packages/python/plotly/plotly/validators/densitymapbox/_opacity.py
new file mode 100644
index 00000000000..24b0abcb20a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="densitymapbox", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_radius.py b/packages/python/plotly/plotly/validators/densitymapbox/_radius.py
new file mode 100644
index 00000000000..7a8c571c29b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_radius.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class RadiusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="radius", parent_name="densitymapbox", **kwargs):
+        super(RadiusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_radiussrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_radiussrc.py
new file mode 100644
index 00000000000..22a116d23b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_radiussrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RadiussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="radiussrc", parent_name="densitymapbox", **kwargs):
+        super(RadiussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_reversescale.py b/packages/python/plotly/plotly/validators/densitymapbox/_reversescale.py
new file mode 100644
index 00000000000..8d58f146511
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="densitymapbox", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_showlegend.py b/packages/python/plotly/plotly/validators/densitymapbox/_showlegend.py
new file mode 100644
index 00000000000..78882f7e0f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="densitymapbox", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_showscale.py b/packages/python/plotly/plotly/validators/densitymapbox/_showscale.py
new file mode 100644
index 00000000000..6c59327dc56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="densitymapbox", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_stream.py b/packages/python/plotly/plotly/validators/densitymapbox/_stream.py
new file mode 100644
index 00000000000..d8a20dd8407
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="densitymapbox", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_subplot.py b/packages/python/plotly/plotly/validators/densitymapbox/_subplot.py
new file mode 100644
index 00000000000..dde0a2e2512
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="densitymapbox", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "mapbox"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_text.py b/packages/python/plotly/plotly/validators/densitymapbox/_text.py
new file mode 100644
index 00000000000..2c3c457273e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="densitymapbox", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_textsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_textsrc.py
new file mode 100644
index 00000000000..3c5763bb1b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="densitymapbox", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_uid.py b/packages/python/plotly/plotly/validators/densitymapbox/_uid.py
new file mode 100644
index 00000000000..7a70dc62216
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="densitymapbox", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_uirevision.py b/packages/python/plotly/plotly/validators/densitymapbox/_uirevision.py
new file mode 100644
index 00000000000..98775e68f74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="densitymapbox", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_visible.py b/packages/python/plotly/plotly/validators/densitymapbox/_visible.py
new file mode 100644
index 00000000000..4b1b027de84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="densitymapbox", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_z.py b/packages/python/plotly/plotly/validators/densitymapbox/_z.py
new file mode 100644
index 00000000000..2177b8ff4c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="densitymapbox", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_zauto.py b/packages/python/plotly/plotly/validators/densitymapbox/_zauto.py
new file mode 100644
index 00000000000..3978067eb0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="densitymapbox", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_zmax.py b/packages/python/plotly/plotly/validators/densitymapbox/_zmax.py
new file mode 100644
index 00000000000..8ea32f4b084
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="densitymapbox", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_zmid.py b/packages/python/plotly/plotly/validators/densitymapbox/_zmid.py
new file mode 100644
index 00000000000..eff525cb065
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="densitymapbox", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_zmin.py b/packages/python/plotly/plotly/validators/densitymapbox/_zmin.py
new file mode 100644
index 00000000000..0ed2c47cb36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="densitymapbox", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/_zsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/_zsrc.py
new file mode 100644
index 00000000000..c1e724cad97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="densitymapbox", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/__init__.py
index 5c2199683a4..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/__init__.py
@@ -1,785 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="densitymapbox.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="densitymapbox.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="densitymapbox.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="densitymapbox.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..68e6a92b1a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..8d16986885b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..5ec4c15d1dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_dtick.py
new file mode 100644
index 00000000000..cc68f0a648f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..63794a68fa0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_len.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_len.py
new file mode 100644
index 00000000000..b9db52157d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_lenmode.py
new file mode 100644
index 00000000000..2446e97f204
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_nticks.py
new file mode 100644
index 00000000000..c084c9c8c80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..671e8689837
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..da281403c03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..d075f6e4b21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showexponent.py
new file mode 100644
index 00000000000..c3013299295
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..23ef0354f31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..bb505c2f0f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..ec274f99984
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_thickness.py
new file mode 100644
index 00000000000..fb99cacbaed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..be955e70049
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tick0.py
new file mode 100644
index 00000000000..eab3744d451
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickangle.py
new file mode 100644
index 00000000000..dd06c712864
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..e9a262c5770
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickfont.py
new file mode 100644
index 00000000000..95994530d56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformat.py
new file mode 100644
index 00000000000..4c0cb68bb6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..3d56762210b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..8dd891fb536
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="densitymapbox.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticklen.py
new file mode 100644
index 00000000000..79b2286b68a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickmode.py
new file mode 100644
index 00000000000..1d92ab63d83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..313bd8bcc01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticks.py
new file mode 100644
index 00000000000..2d0773f9a13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..46ff0d8df74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticktext.py
new file mode 100644
index 00000000000..8d6caf33adf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..f65b71f86e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvals.py
new file mode 100644
index 00000000000..b3e617e6dc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..c70f35c2851
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..9492201cff2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_title.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_title.py
new file mode 100644
index 00000000000..df66aa1fdb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_x.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_x.py
new file mode 100644
index 00000000000..acf0d336bf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="densitymapbox.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_xanchor.py
new file mode 100644
index 00000000000..a99665ceb1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_xpad.py
new file mode 100644
index 00000000000..ba4d604451e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_y.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_y.py
new file mode 100644
index 00000000000..8f33d54ad75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="densitymapbox.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_yanchor.py
new file mode 100644
index 00000000000..daae6e7e362
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ypad.py
new file mode 100644
index 00000000000..bf4f750252c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="densitymapbox.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/__init__.py
index baeeb7480d2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="densitymapbox.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="densitymapbox.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="densitymapbox.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..124a779ed51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="densitymapbox.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..5573f934ee9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="densitymapbox.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..1a411a3a213
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="densitymapbox.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/__init__.py
index 876b0ea5191..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="densitymapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="densitymapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="densitymapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="densitymapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="densitymapbox.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..5f2ce393cd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="densitymapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a45e0a0c831
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="densitymapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..7ecfd15491d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="densitymapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..1ef5234a167
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="densitymapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..0a0010de77b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="densitymapbox.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/__init__.py
index d0218520e03..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="densitymapbox.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="densitymapbox.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="densitymapbox.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_font.py
new file mode 100644
index 00000000000..d10768d027d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="densitymapbox.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_side.py
new file mode 100644
index 00000000000..cea84daa1a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="densitymapbox.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_text.py
new file mode 100644
index 00000000000..ecf2ddb93f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="densitymapbox.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/__init__.py
index 6e13ebfc4dd..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="densitymapbox.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="densitymapbox.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="densitymapbox.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..0c1a0f81019
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="densitymapbox.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..069e5b67201
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="densitymapbox.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..f75ae5dd4cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="densitymapbox.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/__init__.py
index 7a4f4d1fabc..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/__init__.py
@@ -1,191 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="densitymapbox.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="densitymapbox.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="densitymapbox.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="densitymapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="densitymapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="densitymapbox.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="densitymapbox.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="densitymapbox.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="densitymapbox.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_align.py
new file mode 100644
index 00000000000..72fa903e114
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="densitymapbox.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..4132fa32c79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="densitymapbox.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..5e2e3969dca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="densitymapbox.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..3150f744fc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="densitymapbox.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..1ba18b9aebc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="densitymapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..9b16514775c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="densitymapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_font.py
new file mode 100644
index 00000000000..9197e9935de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="densitymapbox.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f7cf07f2037
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="densitymapbox.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3bc90ead283
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="densitymapbox.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/__init__.py
index efc9a62b00e..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/__init__.py
@@ -1,112 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="densitymapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="densitymapbox.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="densitymapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="densitymapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="densitymapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="densitymapbox.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..a4f4c3ad549
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="densitymapbox.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..aa7869fa30e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="densitymapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..5972f76a422
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="densitymapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..44db78e98e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="densitymapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..f60ef3f7c76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="densitymapbox.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..451f1cf6642
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="densitymapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/stream/__init__.py b/packages/python/plotly/plotly/validators/densitymapbox/stream/__init__.py
index b385d94c929..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/densitymapbox/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/densitymapbox/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="densitymapbox.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="densitymapbox.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/densitymapbox/stream/_maxpoints.py
new file mode 100644
index 00000000000..9cd57ad8079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="densitymapbox.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/densitymapbox/stream/_token.py b/packages/python/plotly/plotly/validators/densitymapbox/stream/_token.py
new file mode 100644
index 00000000000..a645b7b390e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/densitymapbox/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="densitymapbox.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/frame/__init__.py b/packages/python/plotly/plotly/validators/frame/__init__.py
index 9996514cc12..b51698dfc85 100644
--- a/packages/python/plotly/plotly/validators/frame/__init__.py
+++ b/packages/python/plotly/plotly/validators/frame/__init__.py
@@ -1,76 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class TracesValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="traces", parent_name="frame", **kwargs):
-        super(TracesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="frame", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import plotly.validators
-
-
-class LayoutValidator(plotly.validators.LayoutValidator):
-    def __init__(self, plotly_name="layout", parent_name="frame", **kwargs):
-        super(LayoutValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            role=kwargs.pop("role", "object"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="group", parent_name="frame", **kwargs):
-        super(GroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import plotly.validators
-
-
-class DataValidator(plotly.validators.DataValidator):
-    def __init__(self, plotly_name="data", parent_name="frame", **kwargs):
-        super(DataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            role=kwargs.pop("role", "object"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaseframeValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="baseframe", parent_name="frame", **kwargs):
-        super(BaseframeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._traces import TracesValidator
+    from ._name import NameValidator
+    from ._layout import LayoutValidator
+    from ._group import GroupValidator
+    from ._data import DataValidator
+    from ._baseframe import BaseframeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._traces.TracesValidator",
+            "._name.NameValidator",
+            "._layout.LayoutValidator",
+            "._group.GroupValidator",
+            "._data.DataValidator",
+            "._baseframe.BaseframeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/frame/_baseframe.py b/packages/python/plotly/plotly/validators/frame/_baseframe.py
new file mode 100644
index 00000000000..66e2216c434
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/frame/_baseframe.py
@@ -0,0 +1,11 @@
+import _plotly_utils.basevalidators
+
+
+class BaseframeValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="baseframe", parent_name="frame", **kwargs):
+        super(BaseframeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/frame/_data.py b/packages/python/plotly/plotly/validators/frame/_data.py
new file mode 100644
index 00000000000..7e5d5f987b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/frame/_data.py
@@ -0,0 +1,11 @@
+import plotly.validators
+
+
+class DataValidator(plotly.validators.DataValidator):
+    def __init__(self, plotly_name="data", parent_name="frame", **kwargs):
+        super(DataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            role=kwargs.pop("role", "object"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/frame/_group.py b/packages/python/plotly/plotly/validators/frame/_group.py
new file mode 100644
index 00000000000..31a9df20608
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/frame/_group.py
@@ -0,0 +1,11 @@
+import _plotly_utils.basevalidators
+
+
+class GroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="group", parent_name="frame", **kwargs):
+        super(GroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/frame/_layout.py b/packages/python/plotly/plotly/validators/frame/_layout.py
new file mode 100644
index 00000000000..dfbfe01d4af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/frame/_layout.py
@@ -0,0 +1,11 @@
+import plotly.validators
+
+
+class LayoutValidator(plotly.validators.LayoutValidator):
+    def __init__(self, plotly_name="layout", parent_name="frame", **kwargs):
+        super(LayoutValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            role=kwargs.pop("role", "object"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/frame/_name.py b/packages/python/plotly/plotly/validators/frame/_name.py
new file mode 100644
index 00000000000..29fe49d7db8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/frame/_name.py
@@ -0,0 +1,11 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="frame", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/frame/_traces.py b/packages/python/plotly/plotly/validators/frame/_traces.py
new file mode 100644
index 00000000000..a5cb501c7c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/frame/_traces.py
@@ -0,0 +1,11 @@
+import _plotly_utils.basevalidators
+
+
+class TracesValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="traces", parent_name="frame", **kwargs):
+        super(TracesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/__init__.py b/packages/python/plotly/plotly/validators/funnel/__init__.py
index 6da3adcb8e9..4b4a0e57956 100644
--- a/packages/python/plotly/plotly/validators/funnel/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/__init__.py
@@ -1,1051 +1,118 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="funnel", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="funnel", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="funnel", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="funnel", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="funnel", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="funnel", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="funnel", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="funnel", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="funnel", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="funnel", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="funnel", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="funnel", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="texttemplatesrc", parent_name="funnel", **kwargs):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="funnel", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="funnel", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textpositionsrc", parent_name="funnel", **kwargs):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="funnel", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="textinfo", parent_name="funnel", **kwargs):
-        super(TextinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop(
-                "flags",
-                [
-                    "label",
-                    "text",
-                    "percent initial",
-                    "percent previous",
-                    "percent total",
-                    "value",
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="funnel", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="textangle", parent_name="funnel", **kwargs):
-        super(TextangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="funnel", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="funnel", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="funnel", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="funnel", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="outsidetextfont", parent_name="funnel", **kwargs):
-        super(OutsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="funnel", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="funnel", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="offsetgroup", parent_name="funnel", **kwargs):
-        super(OffsetgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="offset", parent_name="funnel", **kwargs):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="funnel", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="funnel", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="funnel", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="funnel", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.funnel.marker.Colo
-                rBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.funnel.marker.Line
-                ` instance or dict with compatible properties
-            opacity
-                Sets the opacity of the bars.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="funnel", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="insidetextfont", parent_name="funnel", **kwargs):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="insidetextanchor", parent_name="funnel", **kwargs):
-        super(InsidetextanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["end", "middle", "start"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="funnel", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="funnel", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="funnel", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="funnel", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="funnel", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="funnel", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="funnel", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="funnel", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="funnel", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop(
-                "flags",
-                [
-                    "name",
-                    "x",
-                    "y",
-                    "text",
-                    "percent initial",
-                    "percent previous",
-                    "percent total",
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="funnel", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="funnel", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="funnel", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="funnel", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="constraintext", parent_name="funnel", **kwargs):
-        super(ConstraintextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectorValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="connector", parent_name="funnel", **kwargs):
-        super(ConnectorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Connector"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fillcolor
-                Sets the fill color.
-            line
-                :class:`plotly.graph_objects.funnel.connector.L
-                ine` instance or dict with compatible
-                properties
-            visible
-                Determines if connector regions and lines are
-                drawn.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cliponaxis", parent_name="funnel", **kwargs):
-        super(CliponaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="alignmentgroup", parent_name="funnel", **kwargs):
-        super(AlignmentgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textinfo import TextinfoValidator
+    from ._textfont import TextfontValidator
+    from ._textangle import TextangleValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._outsidetextfont import OutsidetextfontValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._offsetgroup import OffsetgroupValidator
+    from ._offset import OffsetValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._insidetextanchor import InsidetextanchorValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._constraintext import ConstraintextValidator
+    from ._connector import ConnectorValidator
+    from ._cliponaxis import CliponaxisValidator
+    from ._alignmentgroup import AlignmentgroupValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textinfo.TextinfoValidator",
+            "._textfont.TextfontValidator",
+            "._textangle.TextangleValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._outsidetextfont.OutsidetextfontValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._offsetgroup.OffsetgroupValidator",
+            "._offset.OffsetValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._insidetextanchor.InsidetextanchorValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._constraintext.ConstraintextValidator",
+            "._connector.ConnectorValidator",
+            "._cliponaxis.CliponaxisValidator",
+            "._alignmentgroup.AlignmentgroupValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/_alignmentgroup.py b/packages/python/plotly/plotly/validators/funnel/_alignmentgroup.py
new file mode 100644
index 00000000000..a86031a782d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_alignmentgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="alignmentgroup", parent_name="funnel", **kwargs):
+        super(AlignmentgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_cliponaxis.py b/packages/python/plotly/plotly/validators/funnel/_cliponaxis.py
new file mode 100644
index 00000000000..be7fc1ab5c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_cliponaxis.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cliponaxis", parent_name="funnel", **kwargs):
+        super(CliponaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_connector.py b/packages/python/plotly/plotly/validators/funnel/_connector.py
new file mode 100644
index 00000000000..7bd872daaa1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_connector.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectorValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="connector", parent_name="funnel", **kwargs):
+        super(ConnectorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Connector"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fillcolor
+                Sets the fill color.
+            line
+                :class:`plotly.graph_objects.funnel.connector.L
+                ine` instance or dict with compatible
+                properties
+            visible
+                Determines if connector regions and lines are
+                drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_constraintext.py b/packages/python/plotly/plotly/validators/funnel/_constraintext.py
new file mode 100644
index 00000000000..f117c8d00d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_constraintext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="constraintext", parent_name="funnel", **kwargs):
+        super(ConstraintextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_customdata.py b/packages/python/plotly/plotly/validators/funnel/_customdata.py
new file mode 100644
index 00000000000..953b98cfaee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="funnel", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_customdatasrc.py b/packages/python/plotly/plotly/validators/funnel/_customdatasrc.py
new file mode 100644
index 00000000000..209089829e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="funnel", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_dx.py b/packages/python/plotly/plotly/validators/funnel/_dx.py
new file mode 100644
index 00000000000..a8918b2ec55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_dx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="funnel", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_dy.py b/packages/python/plotly/plotly/validators/funnel/_dy.py
new file mode 100644
index 00000000000..cb9a7aae317
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_dy.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="funnel", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hoverinfo.py b/packages/python/plotly/plotly/validators/funnel/_hoverinfo.py
new file mode 100644
index 00000000000..9ce8d29e8a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hoverinfo.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="funnel", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop(
+                "flags",
+                [
+                    "name",
+                    "x",
+                    "y",
+                    "text",
+                    "percent initial",
+                    "percent previous",
+                    "percent total",
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/funnel/_hoverinfosrc.py
new file mode 100644
index 00000000000..7966f7e50c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="funnel", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hoverlabel.py b/packages/python/plotly/plotly/validators/funnel/_hoverlabel.py
new file mode 100644
index 00000000000..d3a4d2ecf26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="funnel", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hovertemplate.py b/packages/python/plotly/plotly/validators/funnel/_hovertemplate.py
new file mode 100644
index 00000000000..a67c5bb7569
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="funnel", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/funnel/_hovertemplatesrc.py
new file mode 100644
index 00000000000..9181d092ef4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="funnel", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hovertext.py b/packages/python/plotly/plotly/validators/funnel/_hovertext.py
new file mode 100644
index 00000000000..2491495c80a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="funnel", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_hovertextsrc.py b/packages/python/plotly/plotly/validators/funnel/_hovertextsrc.py
new file mode 100644
index 00000000000..545ad48b55f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="funnel", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_ids.py b/packages/python/plotly/plotly/validators/funnel/_ids.py
new file mode 100644
index 00000000000..a75270d74d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="funnel", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_idssrc.py b/packages/python/plotly/plotly/validators/funnel/_idssrc.py
new file mode 100644
index 00000000000..2f407f1bfad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="funnel", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_insidetextanchor.py b/packages/python/plotly/plotly/validators/funnel/_insidetextanchor.py
new file mode 100644
index 00000000000..ff8f66638df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_insidetextanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="insidetextanchor", parent_name="funnel", **kwargs):
+        super(InsidetextanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["end", "middle", "start"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_insidetextfont.py b/packages/python/plotly/plotly/validators/funnel/_insidetextfont.py
new file mode 100644
index 00000000000..4320b47f10c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_insidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="insidetextfont", parent_name="funnel", **kwargs):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_legendgroup.py b/packages/python/plotly/plotly/validators/funnel/_legendgroup.py
new file mode 100644
index 00000000000..fddc26e0f1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="funnel", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_marker.py b/packages/python/plotly/plotly/validators/funnel/_marker.py
new file mode 100644
index 00000000000..5b748984f95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_marker.py
@@ -0,0 +1,111 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="funnel", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.funnel.marker.Colo
+                rBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.funnel.marker.Line
+                ` instance or dict with compatible properties
+            opacity
+                Sets the opacity of the bars.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_meta.py b/packages/python/plotly/plotly/validators/funnel/_meta.py
new file mode 100644
index 00000000000..c72ab25b258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="funnel", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_metasrc.py b/packages/python/plotly/plotly/validators/funnel/_metasrc.py
new file mode 100644
index 00000000000..d2a86286ec2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="funnel", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_name.py b/packages/python/plotly/plotly/validators/funnel/_name.py
new file mode 100644
index 00000000000..cdf62e15196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="funnel", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_offset.py b/packages/python/plotly/plotly/validators/funnel/_offset.py
new file mode 100644
index 00000000000..bf33b3d1580
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_offset.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="offset", parent_name="funnel", **kwargs):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_offsetgroup.py b/packages/python/plotly/plotly/validators/funnel/_offsetgroup.py
new file mode 100644
index 00000000000..ce9d5e90599
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_offsetgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="offsetgroup", parent_name="funnel", **kwargs):
+        super(OffsetgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_opacity.py b/packages/python/plotly/plotly/validators/funnel/_opacity.py
new file mode 100644
index 00000000000..e45420e8485
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="funnel", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_orientation.py b/packages/python/plotly/plotly/validators/funnel/_orientation.py
new file mode 100644
index 00000000000..39caa9c038d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="funnel", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_outsidetextfont.py b/packages/python/plotly/plotly/validators/funnel/_outsidetextfont.py
new file mode 100644
index 00000000000..868e2bfe069
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_outsidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="outsidetextfont", parent_name="funnel", **kwargs):
+        super(OutsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_selectedpoints.py b/packages/python/plotly/plotly/validators/funnel/_selectedpoints.py
new file mode 100644
index 00000000000..12f651acbd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="funnel", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_showlegend.py b/packages/python/plotly/plotly/validators/funnel/_showlegend.py
new file mode 100644
index 00000000000..cea8262690f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="funnel", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_stream.py b/packages/python/plotly/plotly/validators/funnel/_stream.py
new file mode 100644
index 00000000000..87ce774d07f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="funnel", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_text.py b/packages/python/plotly/plotly/validators/funnel/_text.py
new file mode 100644
index 00000000000..0bfe6627288
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="funnel", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_textangle.py b/packages/python/plotly/plotly/validators/funnel/_textangle.py
new file mode 100644
index 00000000000..bbb2032875f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_textangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="textangle", parent_name="funnel", **kwargs):
+        super(TextangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_textfont.py b/packages/python/plotly/plotly/validators/funnel/_textfont.py
new file mode 100644
index 00000000000..bbdadb3b13a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="funnel", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_textinfo.py b/packages/python/plotly/plotly/validators/funnel/_textinfo.py
new file mode 100644
index 00000000000..41c3b7da51f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_textinfo.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="textinfo", parent_name="funnel", **kwargs):
+        super(TextinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop(
+                "flags",
+                [
+                    "label",
+                    "text",
+                    "percent initial",
+                    "percent previous",
+                    "percent total",
+                    "value",
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_textposition.py b/packages/python/plotly/plotly/validators/funnel/_textposition.py
new file mode 100644
index 00000000000..e1c875f6ba1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_textposition.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="funnel", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_textpositionsrc.py b/packages/python/plotly/plotly/validators/funnel/_textpositionsrc.py
new file mode 100644
index 00000000000..508ce69f25e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_textpositionsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textpositionsrc", parent_name="funnel", **kwargs):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_textsrc.py b/packages/python/plotly/plotly/validators/funnel/_textsrc.py
new file mode 100644
index 00000000000..24de06b48f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="funnel", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_texttemplate.py b/packages/python/plotly/plotly/validators/funnel/_texttemplate.py
new file mode 100644
index 00000000000..f7ad53c0fc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="funnel", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/funnel/_texttemplatesrc.py
new file mode 100644
index 00000000000..b14358ed575
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_texttemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="texttemplatesrc", parent_name="funnel", **kwargs):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_uid.py b/packages/python/plotly/plotly/validators/funnel/_uid.py
new file mode 100644
index 00000000000..b59f487f6dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="funnel", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_uirevision.py b/packages/python/plotly/plotly/validators/funnel/_uirevision.py
new file mode 100644
index 00000000000..b466dc5e5cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="funnel", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_visible.py b/packages/python/plotly/plotly/validators/funnel/_visible.py
new file mode 100644
index 00000000000..98d717736ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="funnel", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_width.py b/packages/python/plotly/plotly/validators/funnel/_width.py
new file mode 100644
index 00000000000..52882bcffec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="funnel", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_x.py b/packages/python/plotly/plotly/validators/funnel/_x.py
new file mode 100644
index 00000000000..61eda8f8c32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="funnel", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_x0.py b/packages/python/plotly/plotly/validators/funnel/_x0.py
new file mode 100644
index 00000000000..2e808d322de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="funnel", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_xaxis.py b/packages/python/plotly/plotly/validators/funnel/_xaxis.py
new file mode 100644
index 00000000000..d19700990e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="funnel", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_xsrc.py b/packages/python/plotly/plotly/validators/funnel/_xsrc.py
new file mode 100644
index 00000000000..38dbc93d5ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="funnel", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_y.py b/packages/python/plotly/plotly/validators/funnel/_y.py
new file mode 100644
index 00000000000..018a0d3941a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="funnel", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_y0.py b/packages/python/plotly/plotly/validators/funnel/_y0.py
new file mode 100644
index 00000000000..5ff310fdf77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="funnel", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_yaxis.py b/packages/python/plotly/plotly/validators/funnel/_yaxis.py
new file mode 100644
index 00000000000..c5b0c182b83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="funnel", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/_ysrc.py b/packages/python/plotly/plotly/validators/funnel/_ysrc.py
new file mode 100644
index 00000000000..cbc6fbd1196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="funnel", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/__init__.py b/packages/python/plotly/plotly/validators/funnel/connector/__init__.py
index f31c75b1be7..9c448c3acf2 100644
--- a/packages/python/plotly/plotly/validators/funnel/connector/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/connector/__init__.py
@@ -1,55 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="funnel.connector", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="funnel.connector", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="fillcolor", parent_name="funnel.connector", **kwargs
-    ):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._line import LineValidator
+    from ._fillcolor import FillcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._line.LineValidator",
+            "._fillcolor.FillcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/_fillcolor.py b/packages/python/plotly/plotly/validators/funnel/connector/_fillcolor.py
new file mode 100644
index 00000000000..296dc5ebb2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/connector/_fillcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="fillcolor", parent_name="funnel.connector", **kwargs
+    ):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/_line.py b/packages/python/plotly/plotly/validators/funnel/connector/_line.py
new file mode 100644
index 00000000000..c00aa64dd97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/connector/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="funnel.connector", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/_visible.py b/packages/python/plotly/plotly/validators/funnel/connector/_visible.py
new file mode 100644
index 00000000000..496dd9a1df0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/connector/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="funnel.connector", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/line/__init__.py b/packages/python/plotly/plotly/validators/funnel/connector/line/__init__.py
index ec157116826..ac8bd485063 100644
--- a/packages/python/plotly/plotly/validators/funnel/connector/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/connector/line/__init__.py
@@ -1,50 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="funnel.connector.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="dash", parent_name="funnel.connector.line", **kwargs
-    ):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnel.connector.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._dash.DashValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/line/_color.py b/packages/python/plotly/plotly/validators/funnel/connector/line/_color.py
new file mode 100644
index 00000000000..f5859adc32e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/connector/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnel.connector.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/line/_dash.py b/packages/python/plotly/plotly/validators/funnel/connector/line/_dash.py
new file mode 100644
index 00000000000..6dfa7174a0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/connector/line/_dash.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="dash", parent_name="funnel.connector.line", **kwargs
+    ):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/connector/line/_width.py b/packages/python/plotly/plotly/validators/funnel/connector/line/_width.py
new file mode 100644
index 00000000000..fc19908a2a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/connector/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="funnel.connector.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/__init__.py
index 8fa5a5c3a71..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/funnel/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="funnel.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="funnel.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="funnel.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_align.py
new file mode 100644
index 00000000000..c47c0405ba7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="funnel.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..2841a7e557e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..466fcc72b14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..ee8e9428299
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..28d44cff2b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..17d56b1154f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_font.py
new file mode 100644
index 00000000000..8b648e20f17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="funnel.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..46773ddbfea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..fd8d9ece209
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="funnel.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/__init__.py
index 4a1c4bcf5e6..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnel.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="funnel.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnel.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnel.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnel.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnel.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..d87df753630
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnel.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..4a4bd89b2d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnel.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..51511789db2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnel.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..fc659702e88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnel.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..57782598c7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="funnel.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..318e2aad88d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnel.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/__init__.py
index 02055167d27..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnel/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnel.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="funnel.insidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnel.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnel.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnel.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnel.insidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_color.py
new file mode 100644
index 00000000000..c03d5b53e9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnel.insidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..0c79405c6f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnel.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_family.py
new file mode 100644
index 00000000000..b63f8b116ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnel.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..82b1a74d97f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnel.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_size.py
new file mode 100644
index 00000000000..fa9d92e8d80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="funnel.insidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..7c1846c21e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnel.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/__init__.py
index 0aecdad2f54..bcbbad4466a 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/__init__.py
@@ -1,533 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="funnel.marker", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="funnel.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="opacitysrc", parent_name="funnel.marker", **kwargs):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="funnel.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="funnel.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="funnel.marker", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="funnel.marker", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="funnel.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.funnel.
-                marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.funnel.marker.colorbar.tickformatstopdefaults
-                ), sets the default property values to use for
-                elements of
-                funnel.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.funnel.marker.colo
-                rbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                funnel.marker.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                funnel.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="funnel.marker", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="funnel.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "funnel.marker.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="funnel.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="funnel.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="funnel.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="funnel.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="funnel.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/funnel/marker/_autocolorscale.py
new file mode 100644
index 00000000000..a004b7be522
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="funnel.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_cauto.py b/packages/python/plotly/plotly/validators/funnel/marker/_cauto.py
new file mode 100644
index 00000000000..e71540b67ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="funnel.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_cmax.py b/packages/python/plotly/plotly/validators/funnel/marker/_cmax.py
new file mode 100644
index 00000000000..26d7d729717
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="funnel.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_cmid.py b/packages/python/plotly/plotly/validators/funnel/marker/_cmid.py
new file mode 100644
index 00000000000..024717ec7bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="funnel.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_cmin.py b/packages/python/plotly/plotly/validators/funnel/marker/_cmin.py
new file mode 100644
index 00000000000..d19c534fae0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="funnel.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_color.py b/packages/python/plotly/plotly/validators/funnel/marker/_color.py
new file mode 100644
index 00000000000..601e9fb1b2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="funnel.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "funnel.marker.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/funnel/marker/_coloraxis.py
new file mode 100644
index 00000000000..cf13ab8d8fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="funnel.marker", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_colorbar.py b/packages/python/plotly/plotly/validators/funnel/marker/_colorbar.py
new file mode 100644
index 00000000000..a3f691e41f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="funnel.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.funnel.
+                marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.funnel.marker.colorbar.tickformatstopdefaults
+                ), sets the default property values to use for
+                elements of
+                funnel.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.funnel.marker.colo
+                rbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                funnel.marker.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                funnel.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_colorscale.py b/packages/python/plotly/plotly/validators/funnel/marker/_colorscale.py
new file mode 100644
index 00000000000..34219eda31c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="funnel.marker", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/funnel/marker/_colorsrc.py
new file mode 100644
index 00000000000..148bd820c6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="funnel.marker", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_line.py b/packages/python/plotly/plotly/validators/funnel/marker/_line.py
new file mode 100644
index 00000000000..c9687a9bfd9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="funnel.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_opacity.py b/packages/python/plotly/plotly/validators/funnel/marker/_opacity.py
new file mode 100644
index 00000000000..cb21e028a62
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="funnel.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/funnel/marker/_opacitysrc.py
new file mode 100644
index 00000000000..6d849b27056
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_opacitysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="opacitysrc", parent_name="funnel.marker", **kwargs):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_reversescale.py b/packages/python/plotly/plotly/validators/funnel/marker/_reversescale.py
new file mode 100644
index 00000000000..8907a614344
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="funnel.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/_showscale.py b/packages/python/plotly/plotly/validators/funnel/marker/_showscale.py
new file mode 100644
index 00000000000..5311b563c5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="funnel.marker", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/__init__.py
index 7d3a7ad40ae..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/__init__.py
@@ -1,785 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="funnel.marker.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="funnel.marker.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="funnel.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="funnel.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..3f5ca59a7e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..7fae7500c87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..d059eeecd69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..e2b5d18f204
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..8366de40a0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_len.py
new file mode 100644
index 00000000000..ee36ca7d62b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..09f2409f13b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..f7d8584fb77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..0d7eece0fca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..58205dce057
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..8d976555f40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..db8f614cbcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..ba5034d3775
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..6798e4e617b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..4f75218d1a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..bc284ad893c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..3dafb316489
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..6a807b39953
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..d3666a51ebf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..28f92fbb52c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..2e6ec2e61af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..21e19c299df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..c1bf8ddcd9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..1aa1db267d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="funnel.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..44a2094f055
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..b90afb8ff82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..d80a8d8842c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..7630d800218
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..bc1859cdc6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..99e29d19448
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..cb391e1ee41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..81f3054a3ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..baf03688acf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..6979a3e23ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_title.py
new file mode 100644
index 00000000000..10abf637d42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_x.py
new file mode 100644
index 00000000000..dd69f742c66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="funnel.marker.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..8f660592b19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..33c3d3b5344
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_y.py
new file mode 100644
index 00000000000..853f39101b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="funnel.marker.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..7320e527cb0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..84959fdbda6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="funnel.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/__init__.py
index 3a07b44d9ce..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="funnel.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="funnel.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="funnel.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..819c98467a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="funnel.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..2481f4ecb31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="funnel.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..cb79b28692e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="funnel.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/__init__.py
index 41ef3171bab..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="funnel.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="funnel.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="funnel.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="funnel.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="funnel.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..bfb63e9a90d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="funnel.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..ffc24f85efc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="funnel.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..33a121118e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="funnel.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..9272b7b512a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="funnel.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..51cb1ffa480
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="funnel.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/__init__.py
index ebdd60d05a1..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="funnel.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="funnel.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="funnel.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..43fe7c62022
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="funnel.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..b0526d8d9d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="funnel.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..8b40a50c36c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="funnel.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/__init__.py
index cee4036ea98..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="funnel.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="funnel.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="funnel.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..563f7869c69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="funnel.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..5fe0981044a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="funnel.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..6080a920d46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="funnel.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/__init__.py b/packages/python/plotly/plotly/validators/funnel/marker/line/__init__.py
index ff53d9f3324..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/funnel/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/__init__.py
@@ -1,192 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="funnel.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="funnel.marker.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="funnel.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnel.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="funnel.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="funnel.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="funnel.marker.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "funnel.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="funnel.marker.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="funnel.marker.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="funnel.marker.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="funnel.marker.line", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="funnel.marker.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..fa27904649b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="funnel.marker.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_cauto.py
new file mode 100644
index 00000000000..05cf7e55a16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="funnel.marker.line", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_cmax.py
new file mode 100644
index 00000000000..f929a834378
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="funnel.marker.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_cmid.py
new file mode 100644
index 00000000000..b80688e0734
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="funnel.marker.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_cmin.py
new file mode 100644
index 00000000000..52edd465f18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="funnel.marker.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_color.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_color.py
new file mode 100644
index 00000000000..e57356221b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_color.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="funnel.marker.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "funnel.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..154fa52d6a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="funnel.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_colorscale.py
new file mode 100644
index 00000000000..02829877695
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="funnel.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..f517260ef7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnel.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_reversescale.py
new file mode 100644
index 00000000000..2f94af1c658
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="funnel.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_width.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_width.py
new file mode 100644
index 00000000000..f3e1ebce03a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="funnel.marker.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/funnel/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..b3acff9f950
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="funnel.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/__init__.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/__init__.py
index 246a480bbd3..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnel.outsidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="funnel.outsidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnel.outsidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnel.outsidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnel.outsidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnel.outsidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_color.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_color.py
new file mode 100644
index 00000000000..eba587d069c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnel.outsidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..7a9a733d8ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnel.outsidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_family.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_family.py
new file mode 100644
index 00000000000..21052e133df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnel.outsidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_familysrc.py
new file mode 100644
index 00000000000..c4b5fc4a7f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnel.outsidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_size.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_size.py
new file mode 100644
index 00000000000..93295128efb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="funnel.outsidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..0b8c60604f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnel.outsidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/stream/__init__.py b/packages/python/plotly/plotly/validators/funnel/stream/__init__.py
index 0cb32d4d0f1..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/funnel/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="funnel.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="funnel.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/funnel/stream/_maxpoints.py
new file mode 100644
index 00000000000..05cf71dfdc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="funnel.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/stream/_token.py b/packages/python/plotly/plotly/validators/funnel/stream/_token.py
new file mode 100644
index 00000000000..bbe051cf089
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="funnel.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/__init__.py b/packages/python/plotly/plotly/validators/funnel/textfont/__init__.py
index 9e910206475..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnel/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/__init__.py
@@ -1,90 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="funnel.textfont", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="funnel.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnel.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="funnel.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="funnel.textfont", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="funnel.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/_color.py b/packages/python/plotly/plotly/validators/funnel/textfont/_color.py
new file mode 100644
index 00000000000..00137ab60ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="funnel.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/funnel/textfont/_colorsrc.py
new file mode 100644
index 00000000000..ad9638cf20b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="funnel.textfont", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/_family.py b/packages/python/plotly/plotly/validators/funnel/textfont/_family.py
new file mode 100644
index 00000000000..f72d638bd51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="funnel.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/funnel/textfont/_familysrc.py
new file mode 100644
index 00000000000..d9d30cd1ddc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnel.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/_size.py b/packages/python/plotly/plotly/validators/funnel/textfont/_size.py
new file mode 100644
index 00000000000..4c52b0f6a66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="funnel.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnel/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/funnel/textfont/_sizesrc.py
new file mode 100644
index 00000000000..8459c25d252
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnel/textfont/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="funnel.textfont", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/__init__.py
index 6f2ceae3bf4..9d45b821f6d 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/__init__.py
@@ -1,782 +1,96 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="funnelarea", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuessrc", parent_name="funnelarea", **kwargs):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="funnelarea", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="funnelarea", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="funnelarea", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="funnelarea", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets the font used for `title`. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            position
-                Specifies the location of the `title`. Note
-                that the title's position used to be set by the
-                now deprecated `titleposition` attribute.
-            text
-                Sets the title of the chart. If it is empty, no
-                title is displayed. Note that before the
-                existence of `title.text`, the title's contents
-                used to be defined as the `title` attribute
-                itself. This behavior has been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="funnelarea", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="funnelarea", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="funnelarea", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="funnelarea", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="funnelarea", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="textinfo", parent_name="funnelarea", **kwargs):
-        super(TextinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["label", "text", "value", "percent"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="funnelarea", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="funnelarea", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="funnelarea", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="funnelarea", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="scalegroup", parent_name="funnelarea", **kwargs):
-        super(ScalegroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="funnelarea", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="funnelarea", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="funnelarea", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="funnelarea", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="funnelarea", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            colors
-                Sets the color of each sector. If not
-                specified, the default trace color set is used
-                to pick the sector colors.
-            colorssrc
-                Sets the source reference on Chart Studio Cloud
-                for  colors .
-            line
-                :class:`plotly.graph_objects.funnelarea.marker.
-                Line` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="funnelarea", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="labelssrc", parent_name="funnelarea", **kwargs):
-        super(LabelssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="labels", parent_name="funnelarea", **kwargs):
-        super(LabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Label0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="label0", parent_name="funnelarea", **kwargs):
-        super(Label0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="insidetextfont", parent_name="funnelarea", **kwargs
-    ):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="funnelarea", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="funnelarea", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="funnelarea", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="funnelarea", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="funnelarea", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="funnelarea", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="funnelarea", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="funnelarea", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="funnelarea", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["label", "text", "value", "percent", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="funnelarea", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this funnelarea
-                trace .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this funnelarea trace
-                .
-            x
-                Sets the horizontal domain of this funnelarea
-                trace (in plot fraction).
-            y
-                Sets the vertical domain of this funnelarea
-                trace (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DlabelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dlabel", parent_name="funnelarea", **kwargs):
-        super(DlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="funnelarea", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="funnelarea", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaseratioValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="baseratio", parent_name="funnelarea", **kwargs):
-        super(BaseratioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AspectratioValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="aspectratio", parent_name="funnelarea", **kwargs):
-        super(AspectratioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._title import TitleValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textinfo import TextinfoValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scalegroup import ScalegroupValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._labelssrc import LabelssrcValidator
+    from ._labels import LabelsValidator
+    from ._label0 import Label0Validator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._domain import DomainValidator
+    from ._dlabel import DlabelValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._baseratio import BaseratioValidator
+    from ._aspectratio import AspectratioValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._title.TitleValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textinfo.TextinfoValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scalegroup.ScalegroupValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._labelssrc.LabelssrcValidator",
+            "._labels.LabelsValidator",
+            "._label0.Label0Validator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._domain.DomainValidator",
+            "._dlabel.DlabelValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._baseratio.BaseratioValidator",
+            "._aspectratio.AspectratioValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_aspectratio.py b/packages/python/plotly/plotly/validators/funnelarea/_aspectratio.py
new file mode 100644
index 00000000000..6e08f3c54ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_aspectratio.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AspectratioValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="aspectratio", parent_name="funnelarea", **kwargs):
+        super(AspectratioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_baseratio.py b/packages/python/plotly/plotly/validators/funnelarea/_baseratio.py
new file mode 100644
index 00000000000..89bbe3e9d55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_baseratio.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BaseratioValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="baseratio", parent_name="funnelarea", **kwargs):
+        super(BaseratioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_customdata.py b/packages/python/plotly/plotly/validators/funnelarea/_customdata.py
new file mode 100644
index 00000000000..d2efa883c32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="funnelarea", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_customdatasrc.py b/packages/python/plotly/plotly/validators/funnelarea/_customdatasrc.py
new file mode 100644
index 00000000000..c25b69c00fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="funnelarea", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_dlabel.py b/packages/python/plotly/plotly/validators/funnelarea/_dlabel.py
new file mode 100644
index 00000000000..eda0fb08170
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_dlabel.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DlabelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dlabel", parent_name="funnelarea", **kwargs):
+        super(DlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_domain.py b/packages/python/plotly/plotly/validators/funnelarea/_domain.py
new file mode 100644
index 00000000000..4b599bafa5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_domain.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="funnelarea", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this funnelarea
+                trace .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this funnelarea trace
+                .
+            x
+                Sets the horizontal domain of this funnelarea
+                trace (in plot fraction).
+            y
+                Sets the vertical domain of this funnelarea
+                trace (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hoverinfo.py b/packages/python/plotly/plotly/validators/funnelarea/_hoverinfo.py
new file mode 100644
index 00000000000..b90f4ed25a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="funnelarea", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["label", "text", "value", "percent", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/funnelarea/_hoverinfosrc.py
new file mode 100644
index 00000000000..8061e0c85ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="funnelarea", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hoverlabel.py b/packages/python/plotly/plotly/validators/funnelarea/_hoverlabel.py
new file mode 100644
index 00000000000..21e35ed42cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="funnelarea", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hovertemplate.py b/packages/python/plotly/plotly/validators/funnelarea/_hovertemplate.py
new file mode 100644
index 00000000000..50a7f361090
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="funnelarea", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/funnelarea/_hovertemplatesrc.py
new file mode 100644
index 00000000000..f1b46b5c30b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="funnelarea", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hovertext.py b/packages/python/plotly/plotly/validators/funnelarea/_hovertext.py
new file mode 100644
index 00000000000..2b2dff3f585
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="funnelarea", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_hovertextsrc.py b/packages/python/plotly/plotly/validators/funnelarea/_hovertextsrc.py
new file mode 100644
index 00000000000..68c19c47f45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="funnelarea", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_ids.py b/packages/python/plotly/plotly/validators/funnelarea/_ids.py
new file mode 100644
index 00000000000..4da8398b98e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="funnelarea", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_idssrc.py b/packages/python/plotly/plotly/validators/funnelarea/_idssrc.py
new file mode 100644
index 00000000000..c5a02505570
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="funnelarea", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_insidetextfont.py b/packages/python/plotly/plotly/validators/funnelarea/_insidetextfont.py
new file mode 100644
index 00000000000..723a7731f8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_insidetextfont.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="insidetextfont", parent_name="funnelarea", **kwargs
+    ):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_label0.py b/packages/python/plotly/plotly/validators/funnelarea/_label0.py
new file mode 100644
index 00000000000..d64ce92f914
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_label0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Label0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="label0", parent_name="funnelarea", **kwargs):
+        super(Label0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_labels.py b/packages/python/plotly/plotly/validators/funnelarea/_labels.py
new file mode 100644
index 00000000000..bfdbba3c589
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_labels.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="labels", parent_name="funnelarea", **kwargs):
+        super(LabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_labelssrc.py b/packages/python/plotly/plotly/validators/funnelarea/_labelssrc.py
new file mode 100644
index 00000000000..7da3fdbb583
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_labelssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="labelssrc", parent_name="funnelarea", **kwargs):
+        super(LabelssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_legendgroup.py b/packages/python/plotly/plotly/validators/funnelarea/_legendgroup.py
new file mode 100644
index 00000000000..cd8947f0d15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="funnelarea", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_marker.py b/packages/python/plotly/plotly/validators/funnelarea/_marker.py
new file mode 100644
index 00000000000..02d43a81db4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="funnelarea", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            colors
+                Sets the color of each sector. If not
+                specified, the default trace color set is used
+                to pick the sector colors.
+            colorssrc
+                Sets the source reference on Chart Studio Cloud
+                for  colors .
+            line
+                :class:`plotly.graph_objects.funnelarea.marker.
+                Line` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_meta.py b/packages/python/plotly/plotly/validators/funnelarea/_meta.py
new file mode 100644
index 00000000000..3fa079924fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="funnelarea", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_metasrc.py b/packages/python/plotly/plotly/validators/funnelarea/_metasrc.py
new file mode 100644
index 00000000000..d7e13600271
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="funnelarea", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_name.py b/packages/python/plotly/plotly/validators/funnelarea/_name.py
new file mode 100644
index 00000000000..45e294941bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="funnelarea", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_opacity.py b/packages/python/plotly/plotly/validators/funnelarea/_opacity.py
new file mode 100644
index 00000000000..c928efcb59e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="funnelarea", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_scalegroup.py b/packages/python/plotly/plotly/validators/funnelarea/_scalegroup.py
new file mode 100644
index 00000000000..6d74d116931
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_scalegroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="scalegroup", parent_name="funnelarea", **kwargs):
+        super(ScalegroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_showlegend.py b/packages/python/plotly/plotly/validators/funnelarea/_showlegend.py
new file mode 100644
index 00000000000..415c4eb55f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="funnelarea", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_stream.py b/packages/python/plotly/plotly/validators/funnelarea/_stream.py
new file mode 100644
index 00000000000..47204573876
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="funnelarea", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_text.py b/packages/python/plotly/plotly/validators/funnelarea/_text.py
new file mode 100644
index 00000000000..e6cbbe27f6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="funnelarea", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_textfont.py b/packages/python/plotly/plotly/validators/funnelarea/_textfont.py
new file mode 100644
index 00000000000..e793fba3fd9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="funnelarea", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_textinfo.py b/packages/python/plotly/plotly/validators/funnelarea/_textinfo.py
new file mode 100644
index 00000000000..8f8bc870d95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_textinfo.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="textinfo", parent_name="funnelarea", **kwargs):
+        super(TextinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["label", "text", "value", "percent"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_textposition.py b/packages/python/plotly/plotly/validators/funnelarea/_textposition.py
new file mode 100644
index 00000000000..480f1c279a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_textposition.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="funnelarea", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_textpositionsrc.py b/packages/python/plotly/plotly/validators/funnelarea/_textpositionsrc.py
new file mode 100644
index 00000000000..ed95e7bc9e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="funnelarea", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_textsrc.py b/packages/python/plotly/plotly/validators/funnelarea/_textsrc.py
new file mode 100644
index 00000000000..c64ec560965
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="funnelarea", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_texttemplate.py b/packages/python/plotly/plotly/validators/funnelarea/_texttemplate.py
new file mode 100644
index 00000000000..31fc8412895
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="funnelarea", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/funnelarea/_texttemplatesrc.py
new file mode 100644
index 00000000000..3614af866fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="funnelarea", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_title.py b/packages/python/plotly/plotly/validators/funnelarea/_title.py
new file mode 100644
index 00000000000..3c538d1dc21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_title.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="funnelarea", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets the font used for `title`. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            position
+                Specifies the location of the `title`. Note
+                that the title's position used to be set by the
+                now deprecated `titleposition` attribute.
+            text
+                Sets the title of the chart. If it is empty, no
+                title is displayed. Note that before the
+                existence of `title.text`, the title's contents
+                used to be defined as the `title` attribute
+                itself. This behavior has been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_uid.py b/packages/python/plotly/plotly/validators/funnelarea/_uid.py
new file mode 100644
index 00000000000..bdde951d38b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="funnelarea", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_uirevision.py b/packages/python/plotly/plotly/validators/funnelarea/_uirevision.py
new file mode 100644
index 00000000000..a8c97cdddea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="funnelarea", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_values.py b/packages/python/plotly/plotly/validators/funnelarea/_values.py
new file mode 100644
index 00000000000..4851ccc564f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="funnelarea", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_valuessrc.py b/packages/python/plotly/plotly/validators/funnelarea/_valuessrc.py
new file mode 100644
index 00000000000..2dd945506e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_valuessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuessrc", parent_name="funnelarea", **kwargs):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/_visible.py b/packages/python/plotly/plotly/validators/funnelarea/_visible.py
new file mode 100644
index 00000000000..ce861beefc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="funnelarea", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/domain/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/domain/__init__.py
index aa8229ad141..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="funnelarea.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="funnelarea.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="funnelarea.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="funnelarea.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/domain/_column.py b/packages/python/plotly/plotly/validators/funnelarea/domain/_column.py
new file mode 100644
index 00000000000..751b7974559
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="funnelarea.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/domain/_row.py b/packages/python/plotly/plotly/validators/funnelarea/domain/_row.py
new file mode 100644
index 00000000000..cc8fa14c451
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="funnelarea.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/domain/_x.py b/packages/python/plotly/plotly/validators/funnelarea/domain/_x.py
new file mode 100644
index 00000000000..a1cec02c486
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="funnelarea.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/domain/_y.py b/packages/python/plotly/plotly/validators/funnelarea/domain/_y.py
new file mode 100644
index 00000000000..9fa6b998184
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="funnelarea.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/__init__.py
index d299b43ab32..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/__init__.py
@@ -1,185 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="funnelarea.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="funnelarea.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_align.py
new file mode 100644
index 00000000000..3fa4d81d2bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..fec5f8f919b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..217f48ed19b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..b6dc295909d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..cf7848f1626
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..198ef4b5497
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="funnelarea.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_font.py
new file mode 100644
index 00000000000..f62aca19660
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..98c325a2fa3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..be16c7b1e41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="funnelarea.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/__init__.py
index fce1cbc4028..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/__init__.py
@@ -1,103 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnelarea.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="funnelarea.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="funnelarea.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnelarea.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnelarea.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnelarea.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..67b26f36875
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnelarea.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..bc5b83774f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnelarea.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..8545389bc18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnelarea.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..bfcfd9ec608
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="funnelarea.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..4595d7fecc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="funnelarea.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..48fb1144fbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnelarea.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/__init__.py
index 2051767931c..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnelarea.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="funnelarea.insidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnelarea.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnelarea.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnelarea.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnelarea.insidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_color.py
new file mode 100644
index 00000000000..28db2f4e9c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnelarea.insidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..ae04265c4d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnelarea.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_family.py
new file mode 100644
index 00000000000..28004c6f101
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnelarea.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..00356617b48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnelarea.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_size.py
new file mode 100644
index 00000000000..5a4d252854e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="funnelarea.insidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..51de4e8a8d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnelarea.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/marker/__init__.py
index 2b991133ddc..1577e0e840b 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/__init__.py
@@ -1,58 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="funnelarea.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the line enclosing each
-                sector. Defaults to the `paper_bgcolor` value.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the line enclosing
-                each sector.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorssrc", parent_name="funnelarea.marker", **kwargs
-    ):
-        super(ColorssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="colors", parent_name="funnelarea.marker", **kwargs):
-        super(ColorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._colorssrc import ColorssrcValidator
+    from ._colors import ColorsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._line.LineValidator",
+            "._colorssrc.ColorssrcValidator",
+            "._colors.ColorsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/_colors.py b/packages/python/plotly/plotly/validators/funnelarea/marker/_colors.py
new file mode 100644
index 00000000000..9c70adbd970
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/_colors.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="colors", parent_name="funnelarea.marker", **kwargs):
+        super(ColorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/_colorssrc.py b/packages/python/plotly/plotly/validators/funnelarea/marker/_colorssrc.py
new file mode 100644
index 00000000000..d14e324daa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/_colorssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorssrc", parent_name="funnelarea.marker", **kwargs
+    ):
+        super(ColorssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/_line.py b/packages/python/plotly/plotly/validators/funnelarea/marker/_line.py
new file mode 100644
index 00000000000..25bd9107c50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/_line.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="funnelarea.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the line enclosing each
+                sector. Defaults to the `paper_bgcolor` value.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the line enclosing
+                each sector.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/line/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/marker/line/__init__.py
index 4fc4e109159..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/line/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="funnelarea.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="funnelarea.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnelarea.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnelarea.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/line/_color.py b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_color.py
new file mode 100644
index 00000000000..9985d0f3fe1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnelarea.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..f941edcab7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnelarea.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/line/_width.py b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_width.py
new file mode 100644
index 00000000000..803016bb21d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="funnelarea.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..c21b504fbc0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="funnelarea.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/stream/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/stream/__init__.py
index 481157f79d6..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="funnelarea.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="funnelarea.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/funnelarea/stream/_maxpoints.py
new file mode 100644
index 00000000000..0b5d2c1c9c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="funnelarea.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/stream/_token.py b/packages/python/plotly/plotly/validators/funnelarea/stream/_token.py
new file mode 100644
index 00000000000..8fafb636323
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="funnelarea.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/__init__.py
index 3dfe81fd499..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnelarea.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="funnelarea.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnelarea.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnelarea.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnelarea.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnelarea.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/_color.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/_color.py
new file mode 100644
index 00000000000..9f02348ebd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnelarea.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/_colorsrc.py
new file mode 100644
index 00000000000..d5eea67d904
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnelarea.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/_family.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/_family.py
new file mode 100644
index 00000000000..6d8ef341702
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnelarea.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/_familysrc.py
new file mode 100644
index 00000000000..141eddb76e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnelarea.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/_size.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/_size.py
new file mode 100644
index 00000000000..ae6ab1e2d0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="funnelarea.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/funnelarea/textfont/_sizesrc.py
new file mode 100644
index 00000000000..f36bacc09b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnelarea.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/title/__init__.py
index 889a21af5ad..e46144d81ce 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/__init__.py
@@ -1,77 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="funnelarea.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="position", parent_name="funnelarea.title", **kwargs
-    ):
-        super(PositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top left", "top center", "top right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="funnelarea.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._position import PositionValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._text.TextValidator",
+            "._position.PositionValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/_font.py b/packages/python/plotly/plotly/validators/funnelarea/title/_font.py
new file mode 100644
index 00000000000..7a9c1148ca6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="funnelarea.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/_position.py b/packages/python/plotly/plotly/validators/funnelarea/title/_position.py
new file mode 100644
index 00000000000..891a22c923f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/_position.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="position", parent_name="funnelarea.title", **kwargs
+    ):
+        super(PositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top left", "top center", "top right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/_text.py b/packages/python/plotly/plotly/validators/funnelarea/title/_text.py
new file mode 100644
index 00000000000..f1d37836c12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="funnelarea.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/__init__.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/__init__.py
index 017ab277ee8..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/funnelarea/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="funnelarea.title.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="funnelarea.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="funnelarea.title.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="funnelarea.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="funnelarea.title.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="funnelarea.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/_color.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/_color.py
new file mode 100644
index 00000000000..01aaa786944
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="funnelarea.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/_colorsrc.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/_colorsrc.py
new file mode 100644
index 00000000000..e05687833d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="funnelarea.title.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/_family.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/_family.py
new file mode 100644
index 00000000000..78b70a2da7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="funnelarea.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/_familysrc.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/_familysrc.py
new file mode 100644
index 00000000000..2d3de526ecc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="funnelarea.title.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/_size.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/_size.py
new file mode 100644
index 00000000000..1a42d9db61c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="funnelarea.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/funnelarea/title/font/_sizesrc.py b/packages/python/plotly/plotly/validators/funnelarea/title/font/_sizesrc.py
new file mode 100644
index 00000000000..988da524c02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/funnelarea/title/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="funnelarea.title.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/__init__.py b/packages/python/plotly/plotly/validators/heatmap/__init__.py
index c7449d17506..f7f251b7a48 100644
--- a/packages/python/plotly/plotly/validators/heatmap/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/__init__.py
@@ -1,1120 +1,124 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="heatmap", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZsmoothValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="zsmooth", parent_name="heatmap", **kwargs):
-        super(ZsmoothValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fast", "best", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="heatmap", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="heatmap", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="heatmap", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="zhoverformat", parent_name="heatmap", **kwargs):
-        super(ZhoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="heatmap", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="heatmap", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ytype", parent_name="heatmap", **kwargs):
-        super(YtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="heatmap", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ygap", parent_name="heatmap", **kwargs):
-        super(YgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="heatmap", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="heatmap", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="heatmap", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="heatmap", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xtype", parent_name="heatmap", **kwargs):
-        super(XtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="heatmap", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xgap", parent_name="heatmap", **kwargs):
-        super(XgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="heatmap", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="heatmap", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="heatmap", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="heatmap", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="heatmap", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="heatmap", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="heatmap", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="transpose", parent_name="heatmap", **kwargs):
-        super(TransposeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="heatmap", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="heatmap", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="heatmap", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="heatmap", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="heatmap", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="heatmap", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="heatmap", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="heatmap", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="heatmap", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="heatmap", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="heatmap", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="heatmap", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="heatmap", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="heatmap", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="heatmap", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="heatmap", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="heatmap", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverongapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="hoverongaps", parent_name="heatmap", **kwargs):
-        super(HoverongapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="heatmap", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="heatmap", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="heatmap", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="heatmap", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="heatmap", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="heatmap", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="heatmap", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="heatmap", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="heatmap", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="heatmap", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.heatmap
-                .colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.heatmap.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of heatmap.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.heatmap.colorbar.T
-                itle` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                heatmap.colorbar.title.font instead. Sets this
-                color bar's title font. Note that the title's
-                font used to be set by the now deprecated
-                `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                heatmap.colorbar.title.side instead. Determines
-                the location of color bar's title with respect
-                to the color bar. Note that the title's
-                location used to be set by the now deprecated
-                `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="heatmap", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="heatmap", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zsmooth import ZsmoothValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zhoverformat import ZhoverformatValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._ytype import YtypeValidator
+    from ._ysrc import YsrcValidator
+    from ._ygap import YgapValidator
+    from ._ycalendar import YcalendarValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xtype import XtypeValidator
+    from ._xsrc import XsrcValidator
+    from ._xgap import XgapValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._transpose import TransposeValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverongaps import HoverongapsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zsmooth.ZsmoothValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zhoverformat.ZhoverformatValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._ytype.YtypeValidator",
+            "._ysrc.YsrcValidator",
+            "._ygap.YgapValidator",
+            "._ycalendar.YcalendarValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xtype.XtypeValidator",
+            "._xsrc.XsrcValidator",
+            "._xgap.XgapValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._transpose.TransposeValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverongaps.HoverongapsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_autocolorscale.py b/packages/python/plotly/plotly/validators/heatmap/_autocolorscale.py
new file mode 100644
index 00000000000..71dd7f53a89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="heatmap", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_coloraxis.py b/packages/python/plotly/plotly/validators/heatmap/_coloraxis.py
new file mode 100644
index 00000000000..fe0fb177de0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="heatmap", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_colorbar.py b/packages/python/plotly/plotly/validators/heatmap/_colorbar.py
new file mode 100644
index 00000000000..6f617a4e5a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="heatmap", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.heatmap
+                .colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.heatmap.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of heatmap.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.heatmap.colorbar.T
+                itle` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                heatmap.colorbar.title.font instead. Sets this
+                color bar's title font. Note that the title's
+                font used to be set by the now deprecated
+                `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                heatmap.colorbar.title.side instead. Determines
+                the location of color bar's title with respect
+                to the color bar. Note that the title's
+                location used to be set by the now deprecated
+                `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_colorscale.py b/packages/python/plotly/plotly/validators/heatmap/_colorscale.py
new file mode 100644
index 00000000000..3a664a2c576
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="heatmap", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_connectgaps.py b/packages/python/plotly/plotly/validators/heatmap/_connectgaps.py
new file mode 100644
index 00000000000..a2480e630f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="heatmap", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_customdata.py b/packages/python/plotly/plotly/validators/heatmap/_customdata.py
new file mode 100644
index 00000000000..40e2b1d0a5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="heatmap", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_customdatasrc.py b/packages/python/plotly/plotly/validators/heatmap/_customdatasrc.py
new file mode 100644
index 00000000000..afb3a09f576
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="heatmap", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_dx.py b/packages/python/plotly/plotly/validators/heatmap/_dx.py
new file mode 100644
index 00000000000..27b4975d3aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_dx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="heatmap", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_dy.py b/packages/python/plotly/plotly/validators/heatmap/_dy.py
new file mode 100644
index 00000000000..98215c16c76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_dy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="heatmap", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hoverinfo.py b/packages/python/plotly/plotly/validators/heatmap/_hoverinfo.py
new file mode 100644
index 00000000000..8813c0aa647
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="heatmap", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/heatmap/_hoverinfosrc.py
new file mode 100644
index 00000000000..c3b436263bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="heatmap", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hoverlabel.py b/packages/python/plotly/plotly/validators/heatmap/_hoverlabel.py
new file mode 100644
index 00000000000..a6ab3be3c93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="heatmap", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hoverongaps.py b/packages/python/plotly/plotly/validators/heatmap/_hoverongaps.py
new file mode 100644
index 00000000000..694521a4e03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hoverongaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverongapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="hoverongaps", parent_name="heatmap", **kwargs):
+        super(HoverongapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hovertemplate.py b/packages/python/plotly/plotly/validators/heatmap/_hovertemplate.py
new file mode 100644
index 00000000000..b78c1fcc015
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="heatmap", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/heatmap/_hovertemplatesrc.py
new file mode 100644
index 00000000000..447d1c2caa6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="heatmap", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hovertext.py b/packages/python/plotly/plotly/validators/heatmap/_hovertext.py
new file mode 100644
index 00000000000..d3ca8f04aab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hovertext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="heatmap", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_hovertextsrc.py b/packages/python/plotly/plotly/validators/heatmap/_hovertextsrc.py
new file mode 100644
index 00000000000..b606b673916
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="heatmap", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_ids.py b/packages/python/plotly/plotly/validators/heatmap/_ids.py
new file mode 100644
index 00000000000..9de5f9b2b59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="heatmap", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_idssrc.py b/packages/python/plotly/plotly/validators/heatmap/_idssrc.py
new file mode 100644
index 00000000000..a191d4fe362
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="heatmap", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_legendgroup.py b/packages/python/plotly/plotly/validators/heatmap/_legendgroup.py
new file mode 100644
index 00000000000..f52f8668b21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="heatmap", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_meta.py b/packages/python/plotly/plotly/validators/heatmap/_meta.py
new file mode 100644
index 00000000000..9a32fd34389
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="heatmap", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_metasrc.py b/packages/python/plotly/plotly/validators/heatmap/_metasrc.py
new file mode 100644
index 00000000000..fdde50bf022
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="heatmap", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_name.py b/packages/python/plotly/plotly/validators/heatmap/_name.py
new file mode 100644
index 00000000000..0de2de6c755
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="heatmap", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_opacity.py b/packages/python/plotly/plotly/validators/heatmap/_opacity.py
new file mode 100644
index 00000000000..b50791d91a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="heatmap", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_reversescale.py b/packages/python/plotly/plotly/validators/heatmap/_reversescale.py
new file mode 100644
index 00000000000..b0a837189f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="heatmap", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_showlegend.py b/packages/python/plotly/plotly/validators/heatmap/_showlegend.py
new file mode 100644
index 00000000000..e29f8f1597b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="heatmap", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_showscale.py b/packages/python/plotly/plotly/validators/heatmap/_showscale.py
new file mode 100644
index 00000000000..64df38c7657
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="heatmap", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_stream.py b/packages/python/plotly/plotly/validators/heatmap/_stream.py
new file mode 100644
index 00000000000..3cef1614d44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="heatmap", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_text.py b/packages/python/plotly/plotly/validators/heatmap/_text.py
new file mode 100644
index 00000000000..5746b4644c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="heatmap", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_textsrc.py b/packages/python/plotly/plotly/validators/heatmap/_textsrc.py
new file mode 100644
index 00000000000..e147fad3c35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="heatmap", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_transpose.py b/packages/python/plotly/plotly/validators/heatmap/_transpose.py
new file mode 100644
index 00000000000..5720252a267
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_transpose.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="transpose", parent_name="heatmap", **kwargs):
+        super(TransposeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_uid.py b/packages/python/plotly/plotly/validators/heatmap/_uid.py
new file mode 100644
index 00000000000..41f58b73c9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="heatmap", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_uirevision.py b/packages/python/plotly/plotly/validators/heatmap/_uirevision.py
new file mode 100644
index 00000000000..4ea7eb18d0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="heatmap", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_visible.py b/packages/python/plotly/plotly/validators/heatmap/_visible.py
new file mode 100644
index 00000000000..dfe77b9aba0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="heatmap", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_x.py b/packages/python/plotly/plotly/validators/heatmap/_x.py
new file mode 100644
index 00000000000..44b1bc1c6c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_x.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="heatmap", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_x0.py b/packages/python/plotly/plotly/validators/heatmap/_x0.py
new file mode 100644
index 00000000000..1cd435b1c0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_x0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="heatmap", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_xaxis.py b/packages/python/plotly/plotly/validators/heatmap/_xaxis.py
new file mode 100644
index 00000000000..7e359153c19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="heatmap", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_xcalendar.py b/packages/python/plotly/plotly/validators/heatmap/_xcalendar.py
new file mode 100644
index 00000000000..0de002ec44e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="heatmap", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_xgap.py b/packages/python/plotly/plotly/validators/heatmap/_xgap.py
new file mode 100644
index 00000000000..6e9486b2254
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_xgap.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xgap", parent_name="heatmap", **kwargs):
+        super(XgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_xsrc.py b/packages/python/plotly/plotly/validators/heatmap/_xsrc.py
new file mode 100644
index 00000000000..0eb47e7d276
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="heatmap", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_xtype.py b/packages/python/plotly/plotly/validators/heatmap/_xtype.py
new file mode 100644
index 00000000000..0968ba364f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_xtype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xtype", parent_name="heatmap", **kwargs):
+        super(XtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_y.py b/packages/python/plotly/plotly/validators/heatmap/_y.py
new file mode 100644
index 00000000000..2e6853bd4f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_y.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="heatmap", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_y0.py b/packages/python/plotly/plotly/validators/heatmap/_y0.py
new file mode 100644
index 00000000000..8312c47ef02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_y0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="heatmap", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_yaxis.py b/packages/python/plotly/plotly/validators/heatmap/_yaxis.py
new file mode 100644
index 00000000000..805592cdd24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="heatmap", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_ycalendar.py b/packages/python/plotly/plotly/validators/heatmap/_ycalendar.py
new file mode 100644
index 00000000000..d7cb0ebf46e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="heatmap", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_ygap.py b/packages/python/plotly/plotly/validators/heatmap/_ygap.py
new file mode 100644
index 00000000000..8fddc22a982
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_ygap.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ygap", parent_name="heatmap", **kwargs):
+        super(YgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_ysrc.py b/packages/python/plotly/plotly/validators/heatmap/_ysrc.py
new file mode 100644
index 00000000000..61d8d6438bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="heatmap", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_ytype.py b/packages/python/plotly/plotly/validators/heatmap/_ytype.py
new file mode 100644
index 00000000000..e684ea1a073
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_ytype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ytype", parent_name="heatmap", **kwargs):
+        super(YtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_z.py b/packages/python/plotly/plotly/validators/heatmap/_z.py
new file mode 100644
index 00000000000..751e0d6f6e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="heatmap", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zauto.py b/packages/python/plotly/plotly/validators/heatmap/_zauto.py
new file mode 100644
index 00000000000..aeb64dee4c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="heatmap", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zhoverformat.py b/packages/python/plotly/plotly/validators/heatmap/_zhoverformat.py
new file mode 100644
index 00000000000..4fd03c38937
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zhoverformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="zhoverformat", parent_name="heatmap", **kwargs):
+        super(ZhoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zmax.py b/packages/python/plotly/plotly/validators/heatmap/_zmax.py
new file mode 100644
index 00000000000..2fff4f9229e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="heatmap", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zmid.py b/packages/python/plotly/plotly/validators/heatmap/_zmid.py
new file mode 100644
index 00000000000..3e3e864f94a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="heatmap", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zmin.py b/packages/python/plotly/plotly/validators/heatmap/_zmin.py
new file mode 100644
index 00000000000..a605d2b60c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="heatmap", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zsmooth.py b/packages/python/plotly/plotly/validators/heatmap/_zsmooth.py
new file mode 100644
index 00000000000..b027c915422
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zsmooth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZsmoothValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="zsmooth", parent_name="heatmap", **kwargs):
+        super(ZsmoothValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fast", "best", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/_zsrc.py b/packages/python/plotly/plotly/validators/heatmap/_zsrc.py
new file mode 100644
index 00000000000..5638be3234e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="heatmap", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/__init__.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/__init__.py
index bdfcafb2fa2..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/heatmap/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/__init__.py
@@ -1,738 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="heatmap.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="heatmap.colorbar", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="heatmap.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="heatmap.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="heatmap.colorbar", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="heatmap.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="heatmap.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="heatmap.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="heatmap.colorbar", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="heatmap.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="heatmap.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="heatmap.colorbar", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="heatmap.colorbar", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="heatmap.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="heatmap.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="heatmap.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="heatmap.colorbar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..326ba33fe95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="heatmap.colorbar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..fca79bb1b1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..9ef0274a10f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_dtick.py
new file mode 100644
index 00000000000..7257977e235
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="heatmap.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..511c468ffdb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_len.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_len.py
new file mode 100644
index 00000000000..6ed4427963b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="heatmap.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_lenmode.py
new file mode 100644
index 00000000000..c09079394d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="heatmap.colorbar", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_nticks.py
new file mode 100644
index 00000000000..7f14d51aef3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="heatmap.colorbar", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..626971c71a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..60842424935
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..052a1e1b2e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showexponent.py
new file mode 100644
index 00000000000..df72d8d9e96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..224331f724a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..eb77e0c94d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..0f48994a169
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_thickness.py
new file mode 100644
index 00000000000..af5c95c77e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..1fcaa0f4d1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tick0.py
new file mode 100644
index 00000000000..4dc008996a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="heatmap.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickangle.py
new file mode 100644
index 00000000000..3626516c882
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..5686e7eb971
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickfont.py
new file mode 100644
index 00000000000..cac03fadd46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformat.py
new file mode 100644
index 00000000000..12637c834aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..c3a6d4d9905
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="heatmap.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..04cb1e2e621
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticklen.py
new file mode 100644
index 00000000000..d80fea1ab49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="heatmap.colorbar", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickmode.py
new file mode 100644
index 00000000000..a9954e596e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..f83d7dc1ad1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticks.py
new file mode 100644
index 00000000000..ee874bc775e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="heatmap.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..d5592012269
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticktext.py
new file mode 100644
index 00000000000..390834c3448
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..7eb5c825cfa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickvals.py
new file mode 100644
index 00000000000..8efe577e4da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..05c7e1d936e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..0eae3bd579b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="heatmap.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_title.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_title.py
new file mode 100644
index 00000000000..6882c296b97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="heatmap.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_x.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_x.py
new file mode 100644
index 00000000000..c2ce4b6e971
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="heatmap.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_xanchor.py
new file mode 100644
index 00000000000..90c767d3b5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="heatmap.colorbar", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_xpad.py
new file mode 100644
index 00000000000..1202db4ba35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="heatmap.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_y.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_y.py
new file mode 100644
index 00000000000..9866f40b6c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="heatmap.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_yanchor.py
new file mode 100644
index 00000000000..4f2cec823e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="heatmap.colorbar", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ypad.py
new file mode 100644
index 00000000000..719ce0fd09b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="heatmap.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/__init__.py
index 703d7c151a0..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="heatmap.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="heatmap.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="heatmap.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..a60501ca58d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="heatmap.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..1ca9d8917f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="heatmap.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..7a7b93763d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="heatmap.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/__init__.py
index 6e3878c62d9..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="heatmap.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="heatmap.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="heatmap.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="heatmap.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="heatmap.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..6d433020f71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="heatmap.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a7d986a1534
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="heatmap.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..eb4bbcd2e5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="heatmap.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..15250c90f73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="heatmap.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..3c942d0f92f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="heatmap.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/__init__.py
index 7911714e7f8..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="heatmap.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="heatmap.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="heatmap.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_font.py
new file mode 100644
index 00000000000..573d071d9cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="heatmap.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_side.py
new file mode 100644
index 00000000000..be66e8dc30d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="heatmap.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_text.py
new file mode 100644
index 00000000000..d2939e0d51a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="heatmap.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/__init__.py
index eea748ca2c2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="heatmap.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="heatmap.colorbar.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="heatmap.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..b487048b01d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="heatmap.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..751e7f861a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="heatmap.colorbar.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..72a94874747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="heatmap.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/__init__.py
index 3184eccdf3a..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="heatmap.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="heatmap.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="heatmap.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_align.py
new file mode 100644
index 00000000000..88a4f8a8fe7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="heatmap.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..48d20fc8d77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..5f7f29e6d52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..07968027522
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..06f011a6723
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..b346781f6be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_font.py
new file mode 100644
index 00000000000..54a779f69da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="heatmap.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f7bc4f2af65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..ca2bd0e7b5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="heatmap.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/__init__.py
index 23d9f9d65c5..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="heatmap.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="heatmap.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="heatmap.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="heatmap.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="heatmap.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="heatmap.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..402134d3ee8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="heatmap.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..3e9a40dc46c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="heatmap.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..976ee2d8bc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="heatmap.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..0c57c0fc0f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="heatmap.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..964335a38a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="heatmap.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..697ab2361ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="heatmap.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/stream/__init__.py b/packages/python/plotly/plotly/validators/heatmap/stream/__init__.py
index e1a56db263f..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/heatmap/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmap/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="heatmap.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="heatmap.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmap/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/heatmap/stream/_maxpoints.py
new file mode 100644
index 00000000000..9511c4ce22f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="heatmap.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmap/stream/_token.py b/packages/python/plotly/plotly/validators/heatmap/stream/_token.py
new file mode 100644
index 00000000000..000f59a7069
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmap/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="heatmap.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/__init__.py
index 8596d07c506..47c7037349a 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/__init__.py
@@ -1,878 +1,96 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="heatmapgl", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="heatmapgl", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="heatmapgl", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="heatmapgl", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="heatmapgl", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="heatmapgl", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ytype", parent_name="heatmapgl", **kwargs):
-        super(YtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="heatmapgl", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="heatmapgl", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="heatmapgl", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="heatmapgl", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xtype", parent_name="heatmapgl", **kwargs):
-        super(XtypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["array", "scaled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="heatmapgl", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="heatmapgl", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="heatmapgl", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="heatmapgl", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="heatmapgl", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="heatmapgl", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="heatmapgl", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="transpose", parent_name="heatmapgl", **kwargs):
-        super(TransposeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="heatmapgl", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="heatmapgl", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="heatmapgl", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="heatmapgl", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="heatmapgl", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="heatmapgl", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="heatmapgl", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="heatmapgl", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="heatmapgl", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="heatmapgl", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="heatmapgl", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="heatmapgl", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="heatmapgl", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="heatmapgl", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="heatmapgl", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="heatmapgl", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="heatmapgl", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="heatmapgl", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="heatmapgl", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="heatmapgl", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.heatmap
-                gl.colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.heatmapgl.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of heatmapgl.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.heatmapgl.colorbar
-                .Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                heatmapgl.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                heatmapgl.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="heatmapgl", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="heatmapgl", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._ytype import YtypeValidator
+    from ._ysrc import YsrcValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xtype import XtypeValidator
+    from ._xsrc import XsrcValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._transpose import TransposeValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._ytype.YtypeValidator",
+            "._ysrc.YsrcValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xtype.XtypeValidator",
+            "._xsrc.XsrcValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._transpose.TransposeValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_autocolorscale.py b/packages/python/plotly/plotly/validators/heatmapgl/_autocolorscale.py
new file mode 100644
index 00000000000..dfc9aef7cba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="heatmapgl", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_coloraxis.py b/packages/python/plotly/plotly/validators/heatmapgl/_coloraxis.py
new file mode 100644
index 00000000000..aa9553092de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="heatmapgl", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_colorbar.py b/packages/python/plotly/plotly/validators/heatmapgl/_colorbar.py
new file mode 100644
index 00000000000..d7c826788dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="heatmapgl", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.heatmap
+                gl.colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.heatmapgl.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of heatmapgl.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.heatmapgl.colorbar
+                .Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                heatmapgl.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                heatmapgl.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_colorscale.py b/packages/python/plotly/plotly/validators/heatmapgl/_colorscale.py
new file mode 100644
index 00000000000..858ab3e921c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="heatmapgl", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_customdata.py b/packages/python/plotly/plotly/validators/heatmapgl/_customdata.py
new file mode 100644
index 00000000000..b16d3d3d5bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="heatmapgl", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_customdatasrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_customdatasrc.py
new file mode 100644
index 00000000000..ffc09ce2acd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="heatmapgl", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_dx.py b/packages/python/plotly/plotly/validators/heatmapgl/_dx.py
new file mode 100644
index 00000000000..61a4436aec8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_dx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="heatmapgl", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_dy.py b/packages/python/plotly/plotly/validators/heatmapgl/_dy.py
new file mode 100644
index 00000000000..6e39b405a04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_dy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="heatmapgl", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_hoverinfo.py b/packages/python/plotly/plotly/validators/heatmapgl/_hoverinfo.py
new file mode 100644
index 00000000000..70f8c465841
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="heatmapgl", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_hoverinfosrc.py
new file mode 100644
index 00000000000..d23c80fec1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="heatmapgl", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_hoverlabel.py b/packages/python/plotly/plotly/validators/heatmapgl/_hoverlabel.py
new file mode 100644
index 00000000000..7b302040f5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="heatmapgl", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_ids.py b/packages/python/plotly/plotly/validators/heatmapgl/_ids.py
new file mode 100644
index 00000000000..54e9e024d9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="heatmapgl", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_idssrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_idssrc.py
new file mode 100644
index 00000000000..46d806eaebd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="heatmapgl", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_meta.py b/packages/python/plotly/plotly/validators/heatmapgl/_meta.py
new file mode 100644
index 00000000000..a579e277af5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="heatmapgl", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_metasrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_metasrc.py
new file mode 100644
index 00000000000..46a30a0c962
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="heatmapgl", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_name.py b/packages/python/plotly/plotly/validators/heatmapgl/_name.py
new file mode 100644
index 00000000000..59507c9a08a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="heatmapgl", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_opacity.py b/packages/python/plotly/plotly/validators/heatmapgl/_opacity.py
new file mode 100644
index 00000000000..86a1e2f3aa3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="heatmapgl", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_reversescale.py b/packages/python/plotly/plotly/validators/heatmapgl/_reversescale.py
new file mode 100644
index 00000000000..50e4a017478
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="heatmapgl", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_showscale.py b/packages/python/plotly/plotly/validators/heatmapgl/_showscale.py
new file mode 100644
index 00000000000..e0340999a9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="heatmapgl", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_stream.py b/packages/python/plotly/plotly/validators/heatmapgl/_stream.py
new file mode 100644
index 00000000000..17210633f40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="heatmapgl", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_text.py b/packages/python/plotly/plotly/validators/heatmapgl/_text.py
new file mode 100644
index 00000000000..416859ee6f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="heatmapgl", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_textsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_textsrc.py
new file mode 100644
index 00000000000..215f5c28e4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="heatmapgl", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_transpose.py b/packages/python/plotly/plotly/validators/heatmapgl/_transpose.py
new file mode 100644
index 00000000000..3b29d4f18a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_transpose.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="transpose", parent_name="heatmapgl", **kwargs):
+        super(TransposeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_uid.py b/packages/python/plotly/plotly/validators/heatmapgl/_uid.py
new file mode 100644
index 00000000000..1e23049cb77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="heatmapgl", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_uirevision.py b/packages/python/plotly/plotly/validators/heatmapgl/_uirevision.py
new file mode 100644
index 00000000000..db326c78639
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="heatmapgl", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_visible.py b/packages/python/plotly/plotly/validators/heatmapgl/_visible.py
new file mode 100644
index 00000000000..450e9315266
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="heatmapgl", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_x.py b/packages/python/plotly/plotly/validators/heatmapgl/_x.py
new file mode 100644
index 00000000000..70c7c831119
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_x.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="heatmapgl", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_x0.py b/packages/python/plotly/plotly/validators/heatmapgl/_x0.py
new file mode 100644
index 00000000000..c3b9740c22b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_x0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="heatmapgl", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_xaxis.py b/packages/python/plotly/plotly/validators/heatmapgl/_xaxis.py
new file mode 100644
index 00000000000..47149a69899
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="heatmapgl", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_xsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_xsrc.py
new file mode 100644
index 00000000000..f7f390d5380
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="heatmapgl", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_xtype.py b/packages/python/plotly/plotly/validators/heatmapgl/_xtype.py
new file mode 100644
index 00000000000..d5b902ff655
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_xtype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xtype", parent_name="heatmapgl", **kwargs):
+        super(XtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_y.py b/packages/python/plotly/plotly/validators/heatmapgl/_y.py
new file mode 100644
index 00000000000..04fa76e9168
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_y.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="heatmapgl", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_y0.py b/packages/python/plotly/plotly/validators/heatmapgl/_y0.py
new file mode 100644
index 00000000000..14964b2688f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_y0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="heatmapgl", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_yaxis.py b/packages/python/plotly/plotly/validators/heatmapgl/_yaxis.py
new file mode 100644
index 00000000000..e059b8cba17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="heatmapgl", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_ysrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_ysrc.py
new file mode 100644
index 00000000000..1c7fa150102
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="heatmapgl", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_ytype.py b/packages/python/plotly/plotly/validators/heatmapgl/_ytype.py
new file mode 100644
index 00000000000..ac148b93189
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_ytype.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ytype", parent_name="heatmapgl", **kwargs):
+        super(YtypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["array", "scaled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_z.py b/packages/python/plotly/plotly/validators/heatmapgl/_z.py
new file mode 100644
index 00000000000..775747785b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="heatmapgl", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_zauto.py b/packages/python/plotly/plotly/validators/heatmapgl/_zauto.py
new file mode 100644
index 00000000000..0ec5dd65bd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="heatmapgl", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_zmax.py b/packages/python/plotly/plotly/validators/heatmapgl/_zmax.py
new file mode 100644
index 00000000000..43ba2680b7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="heatmapgl", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_zmid.py b/packages/python/plotly/plotly/validators/heatmapgl/_zmid.py
new file mode 100644
index 00000000000..c84faee7b67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="heatmapgl", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_zmin.py b/packages/python/plotly/plotly/validators/heatmapgl/_zmin.py
new file mode 100644
index 00000000000..4435191a7fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="heatmapgl", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/_zsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/_zsrc.py
new file mode 100644
index 00000000000..f8cbaefac25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="heatmapgl", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/__init__.py
index 71e87cbfd5c..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/__init__.py
@@ -1,753 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="heatmapgl.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="heatmapgl.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="heatmapgl.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="heatmapgl.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="heatmapgl.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="heatmapgl.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="heatmapgl.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="heatmapgl.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="heatmapgl.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="heatmapgl.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="heatmapgl.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="heatmapgl.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..0de77317190
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..6848b14952e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..e832c113487
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_dtick.py
new file mode 100644
index 00000000000..cb364e36666
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="heatmapgl.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..953f43f6f1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_len.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_len.py
new file mode 100644
index 00000000000..ef8a042f09c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="heatmapgl.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_lenmode.py
new file mode 100644
index 00000000000..77a8536c2fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_nticks.py
new file mode 100644
index 00000000000..03a1be9c705
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..d37bce196d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..3a4ae188c02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..9bcfbe00c73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="heatmapgl.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showexponent.py
new file mode 100644
index 00000000000..d26825ad0ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..53b41c5da08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..9e20963b30a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..592017a7684
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_thickness.py
new file mode 100644
index 00000000000..b5af33e7831
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..97b1aa47b08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tick0.py
new file mode 100644
index 00000000000..d2eac87eaee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="heatmapgl.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickangle.py
new file mode 100644
index 00000000000..1e6887ef617
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..d18a63f8549
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickfont.py
new file mode 100644
index 00000000000..4f8f8384e11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformat.py
new file mode 100644
index 00000000000..7ee78cd8bd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..e4307b24ed3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="heatmapgl.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..b8fa49a66f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticklen.py
new file mode 100644
index 00000000000..c5302d917c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickmode.py
new file mode 100644
index 00000000000..b0c6a380bef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..71a9ab93080
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticks.py
new file mode 100644
index 00000000000..b2ecda3efc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="heatmapgl.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..777243006bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticktext.py
new file mode 100644
index 00000000000..29f4b921eba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..1112fca9e56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickvals.py
new file mode 100644
index 00000000000..d27d8539862
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..4f55ac11cc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..58b4eca2b48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_title.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_title.py
new file mode 100644
index 00000000000..bf90cf9fb54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="heatmapgl.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_x.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_x.py
new file mode 100644
index 00000000000..837e0cdc39a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="heatmapgl.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_xanchor.py
new file mode 100644
index 00000000000..508385e8d97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_xpad.py
new file mode 100644
index 00000000000..f62cbe04885
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="heatmapgl.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_y.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_y.py
new file mode 100644
index 00000000000..daaa2a9f5cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="heatmapgl.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_yanchor.py
new file mode 100644
index 00000000000..d5ddae6eaf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="heatmapgl.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ypad.py
new file mode 100644
index 00000000000..bb5627fe126
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="heatmapgl.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/__init__.py
index f1714b87119..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="heatmapgl.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="heatmapgl.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="heatmapgl.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..242bcbb8670
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="heatmapgl.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..a463d451f18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="heatmapgl.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..9373d5ae263
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="heatmapgl.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/__init__.py
index 282402fb1d2..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="heatmapgl.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="heatmapgl.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="heatmapgl.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="heatmapgl.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="heatmapgl.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..b981cfdee64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="heatmapgl.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a356e8cff3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="heatmapgl.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..cfd526ec4e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="heatmapgl.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..c3287fd5dc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="heatmapgl.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..35da20abf05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="heatmapgl.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/__init__.py
index b3a60adb52c..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="heatmapgl.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="heatmapgl.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="heatmapgl.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_font.py
new file mode 100644
index 00000000000..c79e2c5920f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="heatmapgl.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_side.py
new file mode 100644
index 00000000000..7a956ae5b4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="heatmapgl.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_text.py
new file mode 100644
index 00000000000..f59db8c1d8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="heatmapgl.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/__init__.py
index 339c347a1a1..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="heatmapgl.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="heatmapgl.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="heatmapgl.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..d8396ce53c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="heatmapgl.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..ae7df34cdf2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="heatmapgl.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..97473187abc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="heatmapgl.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/__init__.py
index 46338a8d3fa..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/__init__.py
@@ -1,182 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="heatmapgl.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_align.py
new file mode 100644
index 00000000000..ca5ea6d445b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..42e93bedd38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..98ba9b1c499
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..a09d07223b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..68eb44bdcb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..38ee09a6f8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_font.py
new file mode 100644
index 00000000000..6d64b412390
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..fdd9d616daa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..9ba10f699e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="heatmapgl.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/__init__.py
index 4e6feb2f004..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="heatmapgl.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="heatmapgl.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="heatmapgl.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="heatmapgl.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="heatmapgl.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="heatmapgl.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..71d57848dff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="heatmapgl.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..22b1eae3e57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="heatmapgl.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..f00c62b444e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="heatmapgl.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..8b498b35bcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="heatmapgl.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..168026b4b18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="heatmapgl.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..f673903a705
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="heatmapgl.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/stream/__init__.py b/packages/python/plotly/plotly/validators/heatmapgl/stream/__init__.py
index 2c1843175f1..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/heatmapgl/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/heatmapgl/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="heatmapgl.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="heatmapgl.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/heatmapgl/stream/_maxpoints.py
new file mode 100644
index 00000000000..f8774dd8d4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="heatmapgl.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/heatmapgl/stream/_token.py b/packages/python/plotly/plotly/validators/heatmapgl/stream/_token.py
new file mode 100644
index 00000000000..b863616a21f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/heatmapgl/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="heatmapgl.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/__init__.py b/packages/python/plotly/plotly/validators/histogram/__init__.py
index 02fe1c3afd2..b673cf3b1e9 100644
--- a/packages/python/plotly/plotly/validators/histogram/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/__init__.py
@@ -1,1184 +1,112 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="histogram", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="histogram", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YBinsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="ybins", parent_name="histogram", **kwargs):
-        super(YBinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "YBins"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            end
-                Sets the end value for the y axis bins. The
-                last bin may not end exactly at this value, we
-                increment the bin edge by `size` from `start`
-                until we reach or exceed `end`. Defaults to the
-                maximum data value. Like `start`, for dates use
-                a date string, and for category data `end` is
-                based on the category serial numbers.
-            size
-                Sets the size of each y axis bin. Default
-                behavior: If `nbinsy` is 0 or omitted, we
-                choose a nice round bin size such that the
-                number of bins is about the same as the typical
-                number of samples in each bin. If `nbinsy` is
-                provided, we choose a nice round bin size
-                giving no more than that many bins. For date
-                data, use milliseconds or "M<n>" for months, as
-                in `axis.dtick`. For category data, the number
-                of categories to bin together (always defaults
-                to 1). If multiple non-overlaying histograms
-                share a subplot, the first explicit `size` is
-                used and all others discarded. If no `size` is
-                provided,the sample data from all traces is
-                combined to determine `size` as described
-                above.
-            start
-                Sets the starting value for the y axis bins.
-                Defaults to the minimum data value, shifted
-                down if necessary to make nice round values and
-                to remove ambiguous bin edges. For example, if
-                most of the data is integers we shift the bin
-                edges 0.5 down, so a `size` of 5 would have a
-                default `start` of -0.5, so it is clear that
-                0-4 are in the first bin, 5-9 in the second,
-                but continuous data gets a start of 0 and bins
-                [0,5), [5,10) etc. Dates behave similarly, and
-                `start` should be a date string. For category
-                data, `start` is based on the category serial
-                numbers, and defaults to -0.5. If multiple non-
-                overlaying histograms share a subplot, the
-                first explicit `start` is used exactly and all
-                others are shifted down (if necessary) to
-                differ from that one by an integer number of
-                bins.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="histogram", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="histogram", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="histogram", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="histogram", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XBinsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="xbins", parent_name="histogram", **kwargs):
-        super(XBinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "XBins"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            end
-                Sets the end value for the x axis bins. The
-                last bin may not end exactly at this value, we
-                increment the bin edge by `size` from `start`
-                until we reach or exceed `end`. Defaults to the
-                maximum data value. Like `start`, for dates use
-                a date string, and for category data `end` is
-                based on the category serial numbers.
-            size
-                Sets the size of each x axis bin. Default
-                behavior: If `nbinsx` is 0 or omitted, we
-                choose a nice round bin size such that the
-                number of bins is about the same as the typical
-                number of samples in each bin. If `nbinsx` is
-                provided, we choose a nice round bin size
-                giving no more than that many bins. For date
-                data, use milliseconds or "M<n>" for months, as
-                in `axis.dtick`. For category data, the number
-                of categories to bin together (always defaults
-                to 1). If multiple non-overlaying histograms
-                share a subplot, the first explicit `size` is
-                used and all others discarded. If no `size` is
-                provided,the sample data from all traces is
-                combined to determine `size` as described
-                above.
-            start
-                Sets the starting value for the x axis bins.
-                Defaults to the minimum data value, shifted
-                down if necessary to make nice round values and
-                to remove ambiguous bin edges. For example, if
-                most of the data is integers we shift the bin
-                edges 0.5 down, so a `size` of 5 would have a
-                default `start` of -0.5, so it is clear that
-                0-4 are in the first bin, 5-9 in the second,
-                but continuous data gets a start of 0 and bins
-                [0,5), [5,10) etc. Dates behave similarly, and
-                `start` should be a date string. For category
-                data, `start` is based on the category serial
-                numbers, and defaults to -0.5. If multiple non-
-                overlaying histograms share a subplot, the
-                first explicit `start` is used exactly and all
-                others are shifted down (if necessary) to
-                differ from that one by an integer number of
-                bins.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="histogram", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="histogram", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="histogram", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="histogram", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.histogram.unselect
-                ed.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.histogram.unselect
-                ed.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="histogram", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="histogram", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="histogram", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="histogram", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="histogram", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="histogram", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="histogram", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="histogram", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.histogram.selected
-                .Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.histogram.selected
-                .Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="histogram", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="histogram", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="offsetgroup", parent_name="histogram", **kwargs):
-        super(OffsetgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nbinsy", parent_name="histogram", **kwargs):
-        super(NbinsyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nbinsx", parent_name="histogram", **kwargs):
-        super(NbinsxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="histogram", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="histogram", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="histogram", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="histogram", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.histogram.marker.C
-                olorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.histogram.marker.L
-                ine` instance or dict with compatible
-                properties
-            opacity
-                Sets the opacity of the bars.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="histogram", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="histogram", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="histogram", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="histogram", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="histogram", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="histogram", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="histogram", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="histogram", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="histogram", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="histogram", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="histnorm", parent_name="histogram", **kwargs):
-        super(HistnormValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                ["", "percent", "probability", "density", "probability density"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="histfunc", parent_name="histogram", **kwargs):
-        super(HistfuncValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorYValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_y", parent_name="histogram", **kwargs):
-        super(ErrorYValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorXValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_x", parent_name="histogram", **kwargs):
-        super(ErrorXValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            copy_ystyle
-
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="histogram", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="histogram", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CumulativeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="cumulative", parent_name="histogram", **kwargs):
-        super(CumulativeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Cumulative"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            currentbin
-                Only applies if cumulative is enabled. Sets
-                whether the current bin is included, excluded,
-                or has half of its value included in the
-                current cumulative value. "include" is the
-                default for compatibility with various other
-                tools, however it introduces a half-bin bias to
-                the results. "exclude" makes the opposite half-
-                bin bias, and "half" removes it.
-            direction
-                Only applies if cumulative is enabled. If
-                "increasing" (default) we sum all prior bins,
-                so the result increases from left to right. If
-                "decreasing" we sum later bins so the result
-                decreases from left to right.
-            enabled
-                If true, display the cumulative distribution by
-                summing the binned values. Use the `direction`
-                and `centralbin` attributes to tune the
-                accumulation method. Note: in this mode, the
-                "density" `histnorm` settings behave the same
-                as their equivalents without "density": "" and
-                "density" both rise to the number of data
-                points, and "probability" and *probability
-                density* both rise to the number of sample
-                points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="bingroup", parent_name="histogram", **kwargs):
-        super(BingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autobiny", parent_name="histogram", **kwargs):
-        super(AutobinyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autobinx", parent_name="histogram", **kwargs):
-        super(AutobinxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="alignmentgroup", parent_name="histogram", **kwargs):
-        super(AlignmentgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._ybins import YbinsValidator
+    from ._yaxis import YaxisValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xbins import XbinsValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._offsetgroup import OffsetgroupValidator
+    from ._nbinsy import NbinsyValidator
+    from ._nbinsx import NbinsxValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._histnorm import HistnormValidator
+    from ._histfunc import HistfuncValidator
+    from ._error_y import Error_YValidator
+    from ._error_x import Error_XValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._cumulative import CumulativeValidator
+    from ._bingroup import BingroupValidator
+    from ._autobiny import AutobinyValidator
+    from ._autobinx import AutobinxValidator
+    from ._alignmentgroup import AlignmentgroupValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._ybins.YbinsValidator",
+            "._yaxis.YaxisValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xbins.XbinsValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._offsetgroup.OffsetgroupValidator",
+            "._nbinsy.NbinsyValidator",
+            "._nbinsx.NbinsxValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._histnorm.HistnormValidator",
+            "._histfunc.HistfuncValidator",
+            "._error_y.Error_YValidator",
+            "._error_x.Error_XValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._cumulative.CumulativeValidator",
+            "._bingroup.BingroupValidator",
+            "._autobiny.AutobinyValidator",
+            "._autobinx.AutobinxValidator",
+            "._alignmentgroup.AlignmentgroupValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/_alignmentgroup.py b/packages/python/plotly/plotly/validators/histogram/_alignmentgroup.py
new file mode 100644
index 00000000000..1fba90141ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_alignmentgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="alignmentgroup", parent_name="histogram", **kwargs):
+        super(AlignmentgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_autobinx.py b/packages/python/plotly/plotly/validators/histogram/_autobinx.py
new file mode 100644
index 00000000000..3cb35bd082e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_autobinx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autobinx", parent_name="histogram", **kwargs):
+        super(AutobinxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_autobiny.py b/packages/python/plotly/plotly/validators/histogram/_autobiny.py
new file mode 100644
index 00000000000..5c114509b64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_autobiny.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autobiny", parent_name="histogram", **kwargs):
+        super(AutobinyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_bingroup.py b/packages/python/plotly/plotly/validators/histogram/_bingroup.py
new file mode 100644
index 00000000000..33fb5ece7cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_bingroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="bingroup", parent_name="histogram", **kwargs):
+        super(BingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_cumulative.py b/packages/python/plotly/plotly/validators/histogram/_cumulative.py
new file mode 100644
index 00000000000..f1a86eb6c40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_cumulative.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class CumulativeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="cumulative", parent_name="histogram", **kwargs):
+        super(CumulativeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Cumulative"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            currentbin
+                Only applies if cumulative is enabled. Sets
+                whether the current bin is included, excluded,
+                or has half of its value included in the
+                current cumulative value. "include" is the
+                default for compatibility with various other
+                tools, however it introduces a half-bin bias to
+                the results. "exclude" makes the opposite half-
+                bin bias, and "half" removes it.
+            direction
+                Only applies if cumulative is enabled. If
+                "increasing" (default) we sum all prior bins,
+                so the result increases from left to right. If
+                "decreasing" we sum later bins so the result
+                decreases from left to right.
+            enabled
+                If true, display the cumulative distribution by
+                summing the binned values. Use the `direction`
+                and `centralbin` attributes to tune the
+                accumulation method. Note: in this mode, the
+                "density" `histnorm` settings behave the same
+                as their equivalents without "density": "" and
+                "density" both rise to the number of data
+                points, and "probability" and *probability
+                density* both rise to the number of sample
+                points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_customdata.py b/packages/python/plotly/plotly/validators/histogram/_customdata.py
new file mode 100644
index 00000000000..608ca111b24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="histogram", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_customdatasrc.py b/packages/python/plotly/plotly/validators/histogram/_customdatasrc.py
new file mode 100644
index 00000000000..8a2885647d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="histogram", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_error_x.py b/packages/python/plotly/plotly/validators/histogram/_error_x.py
new file mode 100644
index 00000000000..fe844c36e86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_error_x.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_x", parent_name="histogram", **kwargs):
+        super(Error_XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            copy_ystyle
+
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_error_y.py b/packages/python/plotly/plotly/validators/histogram/_error_y.py
new file mode 100644
index 00000000000..cb02b5a25e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_error_y.py
@@ -0,0 +1,71 @@
+import _plotly_utils.basevalidators
+
+
+class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_y", parent_name="histogram", **kwargs):
+        super(Error_YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_histfunc.py b/packages/python/plotly/plotly/validators/histogram/_histfunc.py
new file mode 100644
index 00000000000..8e0cd7ad6d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_histfunc.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="histfunc", parent_name="histogram", **kwargs):
+        super(HistfuncValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_histnorm.py b/packages/python/plotly/plotly/validators/histogram/_histnorm.py
new file mode 100644
index 00000000000..fa2a664c9a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_histnorm.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="histnorm", parent_name="histogram", **kwargs):
+        super(HistnormValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                ["", "percent", "probability", "density", "probability density"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hoverinfo.py b/packages/python/plotly/plotly/validators/histogram/_hoverinfo.py
new file mode 100644
index 00000000000..6e7763980f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="histogram", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/histogram/_hoverinfosrc.py
new file mode 100644
index 00000000000..28e36cf495e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="histogram", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hoverlabel.py b/packages/python/plotly/plotly/validators/histogram/_hoverlabel.py
new file mode 100644
index 00000000000..c33872e9eb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="histogram", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hovertemplate.py b/packages/python/plotly/plotly/validators/histogram/_hovertemplate.py
new file mode 100644
index 00000000000..ff813ef4105
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="histogram", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/histogram/_hovertemplatesrc.py
new file mode 100644
index 00000000000..8cbebc518fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="histogram", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hovertext.py b/packages/python/plotly/plotly/validators/histogram/_hovertext.py
new file mode 100644
index 00000000000..2e8ba912fc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="histogram", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_hovertextsrc.py b/packages/python/plotly/plotly/validators/histogram/_hovertextsrc.py
new file mode 100644
index 00000000000..ebba5b4c4da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="histogram", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_ids.py b/packages/python/plotly/plotly/validators/histogram/_ids.py
new file mode 100644
index 00000000000..dc461cd4d42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="histogram", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_idssrc.py b/packages/python/plotly/plotly/validators/histogram/_idssrc.py
new file mode 100644
index 00000000000..b335795fc23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="histogram", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_legendgroup.py b/packages/python/plotly/plotly/validators/histogram/_legendgroup.py
new file mode 100644
index 00000000000..e5b8453e6fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="histogram", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_marker.py b/packages/python/plotly/plotly/validators/histogram/_marker.py
new file mode 100644
index 00000000000..ec8cee106af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_marker.py
@@ -0,0 +1,112 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="histogram", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.histogram.marker.C
+                olorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.histogram.marker.L
+                ine` instance or dict with compatible
+                properties
+            opacity
+                Sets the opacity of the bars.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_meta.py b/packages/python/plotly/plotly/validators/histogram/_meta.py
new file mode 100644
index 00000000000..8edc0db2ce0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="histogram", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_metasrc.py b/packages/python/plotly/plotly/validators/histogram/_metasrc.py
new file mode 100644
index 00000000000..3449f0c5885
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="histogram", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_name.py b/packages/python/plotly/plotly/validators/histogram/_name.py
new file mode 100644
index 00000000000..7aa7b8cb095
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="histogram", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_nbinsx.py b/packages/python/plotly/plotly/validators/histogram/_nbinsx.py
new file mode 100644
index 00000000000..c4066e3bd75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_nbinsx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nbinsx", parent_name="histogram", **kwargs):
+        super(NbinsxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_nbinsy.py b/packages/python/plotly/plotly/validators/histogram/_nbinsy.py
new file mode 100644
index 00000000000..06176991896
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_nbinsy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nbinsy", parent_name="histogram", **kwargs):
+        super(NbinsyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_offsetgroup.py b/packages/python/plotly/plotly/validators/histogram/_offsetgroup.py
new file mode 100644
index 00000000000..d60cb9195a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_offsetgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="offsetgroup", parent_name="histogram", **kwargs):
+        super(OffsetgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_opacity.py b/packages/python/plotly/plotly/validators/histogram/_opacity.py
new file mode 100644
index 00000000000..649f26c1dea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="histogram", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_orientation.py b/packages/python/plotly/plotly/validators/histogram/_orientation.py
new file mode 100644
index 00000000000..27d36fc3e5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="histogram", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_selected.py b/packages/python/plotly/plotly/validators/histogram/_selected.py
new file mode 100644
index 00000000000..3296944df3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="histogram", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.histogram.selected
+                .Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.histogram.selected
+                .Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_selectedpoints.py b/packages/python/plotly/plotly/validators/histogram/_selectedpoints.py
new file mode 100644
index 00000000000..b6ca0f32488
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="histogram", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_showlegend.py b/packages/python/plotly/plotly/validators/histogram/_showlegend.py
new file mode 100644
index 00000000000..b9c54d73dd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="histogram", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_stream.py b/packages/python/plotly/plotly/validators/histogram/_stream.py
new file mode 100644
index 00000000000..33f00351ecd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="histogram", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_text.py b/packages/python/plotly/plotly/validators/histogram/_text.py
new file mode 100644
index 00000000000..f808b3ae5b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="histogram", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_textsrc.py b/packages/python/plotly/plotly/validators/histogram/_textsrc.py
new file mode 100644
index 00000000000..4a8531c1e19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="histogram", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_uid.py b/packages/python/plotly/plotly/validators/histogram/_uid.py
new file mode 100644
index 00000000000..f05444b0928
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="histogram", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_uirevision.py b/packages/python/plotly/plotly/validators/histogram/_uirevision.py
new file mode 100644
index 00000000000..7f03838614d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="histogram", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_unselected.py b/packages/python/plotly/plotly/validators/histogram/_unselected.py
new file mode 100644
index 00000000000..0c53b341ab7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="histogram", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.histogram.unselect
+                ed.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.histogram.unselect
+                ed.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_visible.py b/packages/python/plotly/plotly/validators/histogram/_visible.py
new file mode 100644
index 00000000000..a14ff3d4a0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="histogram", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_x.py b/packages/python/plotly/plotly/validators/histogram/_x.py
new file mode 100644
index 00000000000..39b34d7c75d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="histogram", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_xaxis.py b/packages/python/plotly/plotly/validators/histogram/_xaxis.py
new file mode 100644
index 00000000000..c0a061ed6b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="histogram", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_xbins.py b/packages/python/plotly/plotly/validators/histogram/_xbins.py
new file mode 100644
index 00000000000..dd216f7b3b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_xbins.py
@@ -0,0 +1,60 @@
+import _plotly_utils.basevalidators
+
+
+class XbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="xbins", parent_name="histogram", **kwargs):
+        super(XbinsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "XBins"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            end
+                Sets the end value for the x axis bins. The
+                last bin may not end exactly at this value, we
+                increment the bin edge by `size` from `start`
+                until we reach or exceed `end`. Defaults to the
+                maximum data value. Like `start`, for dates use
+                a date string, and for category data `end` is
+                based on the category serial numbers.
+            size
+                Sets the size of each x axis bin. Default
+                behavior: If `nbinsx` is 0 or omitted, we
+                choose a nice round bin size such that the
+                number of bins is about the same as the typical
+                number of samples in each bin. If `nbinsx` is
+                provided, we choose a nice round bin size
+                giving no more than that many bins. For date
+                data, use milliseconds or "M<n>" for months, as
+                in `axis.dtick`. For category data, the number
+                of categories to bin together (always defaults
+                to 1). If multiple non-overlaying histograms
+                share a subplot, the first explicit `size` is
+                used and all others discarded. If no `size` is
+                provided,the sample data from all traces is
+                combined to determine `size` as described
+                above.
+            start
+                Sets the starting value for the x axis bins.
+                Defaults to the minimum data value, shifted
+                down if necessary to make nice round values and
+                to remove ambiguous bin edges. For example, if
+                most of the data is integers we shift the bin
+                edges 0.5 down, so a `size` of 5 would have a
+                default `start` of -0.5, so it is clear that
+                0-4 are in the first bin, 5-9 in the second,
+                but continuous data gets a start of 0 and bins
+                [0,5), [5,10) etc. Dates behave similarly, and
+                `start` should be a date string. For category
+                data, `start` is based on the category serial
+                numbers, and defaults to -0.5. If multiple non-
+                overlaying histograms share a subplot, the
+                first explicit `start` is used exactly and all
+                others are shifted down (if necessary) to
+                differ from that one by an integer number of
+                bins.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_xcalendar.py b/packages/python/plotly/plotly/validators/histogram/_xcalendar.py
new file mode 100644
index 00000000000..c95eebc537b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="histogram", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_xsrc.py b/packages/python/plotly/plotly/validators/histogram/_xsrc.py
new file mode 100644
index 00000000000..aac8e40defa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="histogram", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_y.py b/packages/python/plotly/plotly/validators/histogram/_y.py
new file mode 100644
index 00000000000..4fbdc2131da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="histogram", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_yaxis.py b/packages/python/plotly/plotly/validators/histogram/_yaxis.py
new file mode 100644
index 00000000000..f9b197fd129
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="histogram", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_ybins.py b/packages/python/plotly/plotly/validators/histogram/_ybins.py
new file mode 100644
index 00000000000..b8783219ef5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_ybins.py
@@ -0,0 +1,60 @@
+import _plotly_utils.basevalidators
+
+
+class YbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="ybins", parent_name="histogram", **kwargs):
+        super(YbinsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "YBins"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            end
+                Sets the end value for the y axis bins. The
+                last bin may not end exactly at this value, we
+                increment the bin edge by `size` from `start`
+                until we reach or exceed `end`. Defaults to the
+                maximum data value. Like `start`, for dates use
+                a date string, and for category data `end` is
+                based on the category serial numbers.
+            size
+                Sets the size of each y axis bin. Default
+                behavior: If `nbinsy` is 0 or omitted, we
+                choose a nice round bin size such that the
+                number of bins is about the same as the typical
+                number of samples in each bin. If `nbinsy` is
+                provided, we choose a nice round bin size
+                giving no more than that many bins. For date
+                data, use milliseconds or "M<n>" for months, as
+                in `axis.dtick`. For category data, the number
+                of categories to bin together (always defaults
+                to 1). If multiple non-overlaying histograms
+                share a subplot, the first explicit `size` is
+                used and all others discarded. If no `size` is
+                provided,the sample data from all traces is
+                combined to determine `size` as described
+                above.
+            start
+                Sets the starting value for the y axis bins.
+                Defaults to the minimum data value, shifted
+                down if necessary to make nice round values and
+                to remove ambiguous bin edges. For example, if
+                most of the data is integers we shift the bin
+                edges 0.5 down, so a `size` of 5 would have a
+                default `start` of -0.5, so it is clear that
+                0-4 are in the first bin, 5-9 in the second,
+                but continuous data gets a start of 0 and bins
+                [0,5), [5,10) etc. Dates behave similarly, and
+                `start` should be a date string. For category
+                data, `start` is based on the category serial
+                numbers, and defaults to -0.5. If multiple non-
+                overlaying histograms share a subplot, the
+                first explicit `start` is used exactly and all
+                others are shifted down (if necessary) to
+                differ from that one by an integer number of
+                bins.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_ycalendar.py b/packages/python/plotly/plotly/validators/histogram/_ycalendar.py
new file mode 100644
index 00000000000..e0d83430ab6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="histogram", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/_ysrc.py b/packages/python/plotly/plotly/validators/histogram/_ysrc.py
new file mode 100644
index 00000000000..9a59fd4da0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="histogram", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/cumulative/__init__.py b/packages/python/plotly/plotly/validators/histogram/cumulative/__init__.py
index 360758a160d..01385f01ddd 100644
--- a/packages/python/plotly/plotly/validators/histogram/cumulative/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/cumulative/__init__.py
@@ -1,48 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="histogram.cumulative", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="direction", parent_name="histogram.cumulative", **kwargs
-    ):
-        super(DirectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["increasing", "decreasing"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CurrentbinValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="currentbin", parent_name="histogram.cumulative", **kwargs
-    ):
-        super(CurrentbinValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["include", "exclude", "half"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._enabled import EnabledValidator
+    from ._direction import DirectionValidator
+    from ._currentbin import CurrentbinValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._enabled.EnabledValidator",
+            "._direction.DirectionValidator",
+            "._currentbin.CurrentbinValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/cumulative/_currentbin.py b/packages/python/plotly/plotly/validators/histogram/cumulative/_currentbin.py
new file mode 100644
index 00000000000..eb8fc69648a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/cumulative/_currentbin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CurrentbinValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="currentbin", parent_name="histogram.cumulative", **kwargs
+    ):
+        super(CurrentbinValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["include", "exclude", "half"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/cumulative/_direction.py b/packages/python/plotly/plotly/validators/histogram/cumulative/_direction.py
new file mode 100644
index 00000000000..4983dc3d604
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/cumulative/_direction.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="direction", parent_name="histogram.cumulative", **kwargs
+    ):
+        super(DirectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["increasing", "decreasing"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/cumulative/_enabled.py b/packages/python/plotly/plotly/validators/histogram/cumulative/_enabled.py
new file mode 100644
index 00000000000..8f2d9b88cde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/cumulative/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="histogram.cumulative", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/__init__.py b/packages/python/plotly/plotly/validators/histogram/error_x/__init__.py
index 20d0a37685f..e4688233f0f 100644
--- a/packages/python/plotly/plotly/validators/histogram/error_x/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/__init__.py
@@ -1,235 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="histogram.error_x", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="histogram.error_x", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="histogram.error_x", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="histogram.error_x", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="histogram.error_x", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="histogram.error_x", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="histogram.error_x", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="histogram.error_x", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="histogram.error_x", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CopyYstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="copy_ystyle", parent_name="histogram.error_x", **kwargs
-    ):
-        super(CopyYstyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="histogram.error_x", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="histogram.error_x", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="histogram.error_x", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="histogram.error_x", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="histogram.error_x", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._copy_ystyle import Copy_YstyleValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._copy_ystyle.Copy_YstyleValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_array.py b/packages/python/plotly/plotly/validators/histogram/error_x/_array.py
new file mode 100644
index 00000000000..c74078bb7eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="histogram.error_x", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_arrayminus.py b/packages/python/plotly/plotly/validators/histogram/error_x/_arrayminus.py
new file mode 100644
index 00000000000..b51a0fb7955
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="histogram.error_x", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_arrayminussrc.py b/packages/python/plotly/plotly/validators/histogram/error_x/_arrayminussrc.py
new file mode 100644
index 00000000000..0204ab42f99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="histogram.error_x", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_arraysrc.py b/packages/python/plotly/plotly/validators/histogram/error_x/_arraysrc.py
new file mode 100644
index 00000000000..d3ff7a09d05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="histogram.error_x", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_color.py b/packages/python/plotly/plotly/validators/histogram/error_x/_color.py
new file mode 100644
index 00000000000..0c247f59453
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="histogram.error_x", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_copy_ystyle.py b/packages/python/plotly/plotly/validators/histogram/error_x/_copy_ystyle.py
new file mode 100644
index 00000000000..273df7d2a03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_copy_ystyle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class Copy_YstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="copy_ystyle", parent_name="histogram.error_x", **kwargs
+    ):
+        super(Copy_YstyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_symmetric.py b/packages/python/plotly/plotly/validators/histogram/error_x/_symmetric.py
new file mode 100644
index 00000000000..7e330217c12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="histogram.error_x", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_thickness.py b/packages/python/plotly/plotly/validators/histogram/error_x/_thickness.py
new file mode 100644
index 00000000000..75ee1184110
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="histogram.error_x", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_traceref.py b/packages/python/plotly/plotly/validators/histogram/error_x/_traceref.py
new file mode 100644
index 00000000000..b6cf5c1e476
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="histogram.error_x", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_tracerefminus.py b/packages/python/plotly/plotly/validators/histogram/error_x/_tracerefminus.py
new file mode 100644
index 00000000000..a57e4937e89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="histogram.error_x", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_type.py b/packages/python/plotly/plotly/validators/histogram/error_x/_type.py
new file mode 100644
index 00000000000..12d961d367b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="histogram.error_x", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_value.py b/packages/python/plotly/plotly/validators/histogram/error_x/_value.py
new file mode 100644
index 00000000000..5b2f73ff852
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="histogram.error_x", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_valueminus.py b/packages/python/plotly/plotly/validators/histogram/error_x/_valueminus.py
new file mode 100644
index 00000000000..c45c5ca4fde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="histogram.error_x", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_visible.py b/packages/python/plotly/plotly/validators/histogram/error_x/_visible.py
new file mode 100644
index 00000000000..b1e140d3962
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="histogram.error_x", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_x/_width.py b/packages/python/plotly/plotly/validators/histogram/error_x/_width.py
new file mode 100644
index 00000000000..8b3e63502f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_x/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="histogram.error_x", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/__init__.py b/packages/python/plotly/plotly/validators/histogram/error_y/__init__.py
index 6e4f4e2a9a1..0a508f0c655 100644
--- a/packages/python/plotly/plotly/validators/histogram/error_y/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/__init__.py
@@ -1,219 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="histogram.error_y", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="histogram.error_y", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="histogram.error_y", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="histogram.error_y", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="histogram.error_y", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="histogram.error_y", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="histogram.error_y", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="histogram.error_y", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="histogram.error_y", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="histogram.error_y", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="histogram.error_y", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="histogram.error_y", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="histogram.error_y", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="histogram.error_y", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_array.py b/packages/python/plotly/plotly/validators/histogram/error_y/_array.py
new file mode 100644
index 00000000000..926ecdf3976
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="histogram.error_y", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_arrayminus.py b/packages/python/plotly/plotly/validators/histogram/error_y/_arrayminus.py
new file mode 100644
index 00000000000..6efcccdebf7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="histogram.error_y", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_arrayminussrc.py b/packages/python/plotly/plotly/validators/histogram/error_y/_arrayminussrc.py
new file mode 100644
index 00000000000..d7666e3b3dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="histogram.error_y", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_arraysrc.py b/packages/python/plotly/plotly/validators/histogram/error_y/_arraysrc.py
new file mode 100644
index 00000000000..82619c20f78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="histogram.error_y", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_color.py b/packages/python/plotly/plotly/validators/histogram/error_y/_color.py
new file mode 100644
index 00000000000..a0a5c59d9d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="histogram.error_y", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_symmetric.py b/packages/python/plotly/plotly/validators/histogram/error_y/_symmetric.py
new file mode 100644
index 00000000000..7b29961c58f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="histogram.error_y", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_thickness.py b/packages/python/plotly/plotly/validators/histogram/error_y/_thickness.py
new file mode 100644
index 00000000000..0c8ee0e2b9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="histogram.error_y", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_traceref.py b/packages/python/plotly/plotly/validators/histogram/error_y/_traceref.py
new file mode 100644
index 00000000000..50e5e260251
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="histogram.error_y", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_tracerefminus.py b/packages/python/plotly/plotly/validators/histogram/error_y/_tracerefminus.py
new file mode 100644
index 00000000000..0128845bbfb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="histogram.error_y", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_type.py b/packages/python/plotly/plotly/validators/histogram/error_y/_type.py
new file mode 100644
index 00000000000..921dcf19522
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="histogram.error_y", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_value.py b/packages/python/plotly/plotly/validators/histogram/error_y/_value.py
new file mode 100644
index 00000000000..675a07da4ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="histogram.error_y", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_valueminus.py b/packages/python/plotly/plotly/validators/histogram/error_y/_valueminus.py
new file mode 100644
index 00000000000..c122e4cbb28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="histogram.error_y", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_visible.py b/packages/python/plotly/plotly/validators/histogram/error_y/_visible.py
new file mode 100644
index 00000000000..a240b024a35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="histogram.error_y", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/error_y/_width.py b/packages/python/plotly/plotly/validators/histogram/error_y/_width.py
new file mode 100644
index 00000000000..8e6569a368c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/error_y/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="histogram.error_y", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/__init__.py
index 650b7706486..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/histogram/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/__init__.py
@@ -1,182 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="histogram.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_align.py
new file mode 100644
index 00000000000..65b67f28df5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..8a6677e2fc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..0295abca82b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..aa0b5b6fc3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..aa2a632eebd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..5cf3c1b53ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_font.py
new file mode 100644
index 00000000000..84efd0557c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..d69da5f51b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..6fb1c05926a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="histogram.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/__init__.py
index c24f3003c50..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="histogram.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="histogram.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="histogram.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="histogram.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="histogram.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..64537834198
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..6b0fdcae933
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="histogram.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..db4692d17f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="histogram.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..1224806030e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="histogram.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..dce47df42e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="histogram.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..93bc8c7b584
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="histogram.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/__init__.py
index e87cf22ed7a..bcbbad4466a 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/__init__.py
@@ -1,547 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="histogram.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="histogram.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="histogram.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="histogram.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="histogram.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="histogram.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="histogram.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="histogram.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.histogr
-                am.marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.histogram.marker.colorbar.tickformatstopdefau
-                lts), sets the default property values to use
-                for elements of
-                histogram.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.histogram.marker.c
-                olorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                histogram.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                histogram.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="histogram.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="histogram.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "histogram.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="histogram.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="histogram.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="histogram.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="histogram.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="histogram.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/histogram/marker/_autocolorscale.py
new file mode 100644
index 00000000000..8ea531c028f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="histogram.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_cauto.py b/packages/python/plotly/plotly/validators/histogram/marker/_cauto.py
new file mode 100644
index 00000000000..7582066e698
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="histogram.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_cmax.py b/packages/python/plotly/plotly/validators/histogram/marker/_cmax.py
new file mode 100644
index 00000000000..536414284d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="histogram.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_cmid.py b/packages/python/plotly/plotly/validators/histogram/marker/_cmid.py
new file mode 100644
index 00000000000..d9a87b38e7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="histogram.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_cmin.py b/packages/python/plotly/plotly/validators/histogram/marker/_cmin.py
new file mode 100644
index 00000000000..6c7b01ad16e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="histogram.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_color.py b/packages/python/plotly/plotly/validators/histogram/marker/_color.py
new file mode 100644
index 00000000000..78dff74fa83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_color.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="histogram.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "histogram.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/histogram/marker/_coloraxis.py
new file mode 100644
index 00000000000..8d1684dbb42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="histogram.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_colorbar.py b/packages/python/plotly/plotly/validators/histogram/marker/_colorbar.py
new file mode 100644
index 00000000000..b7e65e8fcde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="histogram.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.histogr
+                am.marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.histogram.marker.colorbar.tickformatstopdefau
+                lts), sets the default property values to use
+                for elements of
+                histogram.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.histogram.marker.c
+                olorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                histogram.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                histogram.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_colorscale.py b/packages/python/plotly/plotly/validators/histogram/marker/_colorscale.py
new file mode 100644
index 00000000000..22425b81313
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="histogram.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram/marker/_colorsrc.py
new file mode 100644
index 00000000000..e16899568c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="histogram.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_line.py b/packages/python/plotly/plotly/validators/histogram/marker/_line.py
new file mode 100644
index 00000000000..adcd5090b41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="histogram.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_opacity.py b/packages/python/plotly/plotly/validators/histogram/marker/_opacity.py
new file mode 100644
index 00000000000..334847c4a80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="histogram.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/histogram/marker/_opacitysrc.py
new file mode 100644
index 00000000000..76081fc27d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="histogram.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_reversescale.py b/packages/python/plotly/plotly/validators/histogram/marker/_reversescale.py
new file mode 100644
index 00000000000..651e129948d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="histogram.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/_showscale.py b/packages/python/plotly/plotly/validators/histogram/marker/_showscale.py
new file mode 100644
index 00000000000..c5c17d59cf2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="histogram.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/__init__.py
index ed799f5b5a6..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/__init__.py
@@ -1,819 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="histogram.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="histogram.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..d869c64f258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..ca2d328a37f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..0aff8080a0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..c0cd43b8d24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..18b7687d571
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_len.py
new file mode 100644
index 00000000000..2c88f65e4f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..1231e2da6b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..ca0ff7ff8a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..7ec28cae80d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..55dbe25d952
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..114c95fd5a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..b27a3ad6e70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..3340fdf85c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..a9851ee8d33
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..6b743471b87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..137bce3e353
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..6debd722bc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..a9884b01300
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..8e485278360
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..88c1482f81e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..cfa44b208f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..29eaaff5f46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..3c6343131b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..1ff1860673a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..47603c31e51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..f5d728140ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..cb408ef1d54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..85e911eef22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..d2afaf20f91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..024f574a4c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..f53e0b67e33
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..fe9dad559b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..ce015fb66c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="histogram.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..cac7b32817a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_title.py
new file mode 100644
index 00000000000..d635f1075fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_x.py
new file mode 100644
index 00000000000..17a81b13620
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..8fb14c8b3cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..1fa31202cac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_y.py
new file mode 100644
index 00000000000..7389fac68a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..affdd512b08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..f3ffde0134a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="histogram.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/__init__.py
index 768cb41a960..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..8ca7e9b2b31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..95856be9c5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..888c5940041
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/__init__.py
index 4c6cd105a42..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="histogram.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="histogram.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="histogram.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="histogram.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="histogram.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..464dfe9ba74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="histogram.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..ee12900aae3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="histogram.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..09684d72093
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="histogram.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..bc185862130
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="histogram.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..46d4d142416
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="histogram.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/__init__.py
index f01e3c2736b..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="histogram.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="histogram.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="histogram.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..95136ec8bf7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="histogram.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..3c507b2f7d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="histogram.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..dbb14f46142
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="histogram.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/__init__.py
index 805c358337f..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..fb1cb897386
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..a6246d74e5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..f46d20878e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/__init__.py b/packages/python/plotly/plotly/validators/histogram/marker/line/__init__.py
index 3f4c95f5330..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/histogram/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/__init__.py
@@ -1,207 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "histogram.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="histogram.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="histogram.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..ac2a21532fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="histogram.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_cauto.py
new file mode 100644
index 00000000000..d46c2953aab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_cmax.py
new file mode 100644
index 00000000000..31598dc71d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_cmid.py
new file mode 100644
index 00000000000..b16108bdaa8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_cmin.py
new file mode 100644
index 00000000000..0732b33a2e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_color.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_color.py
new file mode 100644
index 00000000000..681c821984e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "histogram.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..110e296940a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_colorscale.py
new file mode 100644
index 00000000000..8d29478a9d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..d0d11f6b2ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_reversescale.py
new file mode 100644
index 00000000000..51ca1e2148b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_width.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_width.py
new file mode 100644
index 00000000000..18e6c0c023c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/histogram/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..831cdbee279
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="histogram.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/__init__.py b/packages/python/plotly/plotly/validators/histogram/selected/__init__.py
index 7b4ddac3c11..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/histogram/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/selected/__init__.py
@@ -1,44 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="histogram.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="histogram.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/_marker.py b/packages/python/plotly/plotly/validators/histogram/selected/_marker.py
new file mode 100644
index 00000000000..527ccc6bbf9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/selected/_marker.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="histogram.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/_textfont.py b/packages/python/plotly/plotly/validators/histogram/selected/_textfont.py
new file mode 100644
index 00000000000..4d460405a9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="histogram.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/histogram/selected/marker/__init__.py
index 27c9d5044fc..772f2b07352 100644
--- a/packages/python/plotly/plotly/validators/histogram/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/selected/marker/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="histogram.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/marker/_color.py b/packages/python/plotly/plotly/validators/histogram/selected/marker/_color.py
new file mode 100644
index 00000000000..7c5b9053246
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/histogram/selected/marker/_opacity.py
new file mode 100644
index 00000000000..1d31396734e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="histogram.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/histogram/selected/textfont/__init__.py
index ea8fda12e17..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/histogram/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/selected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram.selected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/histogram/selected/textfont/_color.py
new file mode 100644
index 00000000000..ea8fda12e17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/selected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram.selected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/stream/__init__.py b/packages/python/plotly/plotly/validators/histogram/stream/__init__.py
index f3a3b54d19b..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/histogram/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="histogram.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="histogram.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/histogram/stream/_maxpoints.py
new file mode 100644
index 00000000000..0c257ac6d17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="histogram.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/stream/_token.py b/packages/python/plotly/plotly/validators/histogram/stream/_token.py
new file mode 100644
index 00000000000..cb46634028e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="histogram.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/__init__.py b/packages/python/plotly/plotly/validators/histogram/unselected/__init__.py
index 486a2c57960..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/histogram/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/__init__.py
@@ -1,47 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="histogram.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="histogram.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/_marker.py b/packages/python/plotly/plotly/validators/histogram/unselected/_marker.py
new file mode 100644
index 00000000000..5554a3f29c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="histogram.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/_textfont.py b/packages/python/plotly/plotly/validators/histogram/unselected/_textfont.py
new file mode 100644
index 00000000000..7fce2d68357
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="histogram.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/histogram/unselected/marker/__init__.py
index f9dfff67e97..772f2b07352 100644
--- a/packages/python/plotly/plotly/validators/histogram/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/marker/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="histogram.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/histogram/unselected/marker/_color.py
new file mode 100644
index 00000000000..6c8bc9a771a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/histogram/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..ad5aadc7fff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="histogram.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/histogram/unselected/textfont/__init__.py
index 8f941220d85..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/histogram/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram.unselected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/histogram/unselected/textfont/_color.py
new file mode 100644
index 00000000000..8f941220d85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/unselected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram.unselected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/xbins/__init__.py b/packages/python/plotly/plotly/validators/histogram/xbins/__init__.py
index 53c0c8184c8..c00e4e78187 100644
--- a/packages/python/plotly/plotly/validators/histogram/xbins/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/xbins/__init__.py
@@ -1,40 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="start", parent_name="histogram.xbins", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="size", parent_name="histogram.xbins", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="end", parent_name="histogram.xbins", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._end import EndValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._start.StartValidator", "._size.SizeValidator", "._end.EndValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/xbins/_end.py b/packages/python/plotly/plotly/validators/histogram/xbins/_end.py
new file mode 100644
index 00000000000..08561f1e0c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/xbins/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="end", parent_name="histogram.xbins", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/xbins/_size.py b/packages/python/plotly/plotly/validators/histogram/xbins/_size.py
new file mode 100644
index 00000000000..21b33612e49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/xbins/_size.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="size", parent_name="histogram.xbins", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/xbins/_start.py b/packages/python/plotly/plotly/validators/histogram/xbins/_start.py
new file mode 100644
index 00000000000..5d68dacb774
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/xbins/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="start", parent_name="histogram.xbins", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/ybins/__init__.py b/packages/python/plotly/plotly/validators/histogram/ybins/__init__.py
index 9a9e2ec562d..c00e4e78187 100644
--- a/packages/python/plotly/plotly/validators/histogram/ybins/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram/ybins/__init__.py
@@ -1,40 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="start", parent_name="histogram.ybins", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="size", parent_name="histogram.ybins", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="end", parent_name="histogram.ybins", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._end import EndValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._start.StartValidator", "._size.SizeValidator", "._end.EndValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram/ybins/_end.py b/packages/python/plotly/plotly/validators/histogram/ybins/_end.py
new file mode 100644
index 00000000000..a6108ea5819
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/ybins/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="end", parent_name="histogram.ybins", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/ybins/_size.py b/packages/python/plotly/plotly/validators/histogram/ybins/_size.py
new file mode 100644
index 00000000000..e249ff30645
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/ybins/_size.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="size", parent_name="histogram.ybins", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram/ybins/_start.py b/packages/python/plotly/plotly/validators/histogram/ybins/_start.py
new file mode 100644
index 00000000000..452bae8f27b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram/ybins/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="start", parent_name="histogram.ybins", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/__init__.py
index 618fafe3cc6..bb6f623c7ee 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/__init__.py
@@ -1,1199 +1,122 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="histogram2d", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZsmoothValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="zsmooth", parent_name="histogram2d", **kwargs):
-        super(ZsmoothValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fast", "best", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="histogram2d", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="histogram2d", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="histogram2d", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="zhoverformat", parent_name="histogram2d", **kwargs):
-        super(ZhoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="histogram2d", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="histogram2d", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="histogram2d", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ygap", parent_name="histogram2d", **kwargs):
-        super(YgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="histogram2d", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YBinsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="ybins", parent_name="histogram2d", **kwargs):
-        super(YBinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "YBins"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            end
-                Sets the end value for the y axis bins. The
-                last bin may not end exactly at this value, we
-                increment the bin edge by `size` from `start`
-                until we reach or exceed `end`. Defaults to the
-                maximum data value. Like `start`, for dates use
-                a date string, and for category data `end` is
-                based on the category serial numbers.
-            size
-                Sets the size of each y axis bin. Default
-                behavior: If `nbinsy` is 0 or omitted, we
-                choose a nice round bin size such that the
-                number of bins is about the same as the typical
-                number of samples in each bin. If `nbinsy` is
-                provided, we choose a nice round bin size
-                giving no more than that many bins. For date
-                data, use milliseconds or "M<n>" for months, as
-                in `axis.dtick`. For category data, the number
-                of categories to bin together (always defaults
-                to 1).
-            start
-                Sets the starting value for the y axis bins.
-                Defaults to the minimum data value, shifted
-                down if necessary to make nice round values and
-                to remove ambiguous bin edges. For example, if
-                most of the data is integers we shift the bin
-                edges 0.5 down, so a `size` of 5 would have a
-                default `start` of -0.5, so it is clear that
-                0-4 are in the first bin, 5-9 in the second,
-                but continuous data gets a start of 0 and bins
-                [0,5), [5,10) etc. Dates behave similarly, and
-                `start` should be a date string. For category
-                data, `start` is based on the category serial
-                numbers, and defaults to -0.5.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YbingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="ybingroup", parent_name="histogram2d", **kwargs):
-        super(YbingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="histogram2d", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="histogram2d", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="histogram2d", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xgap", parent_name="histogram2d", **kwargs):
-        super(XgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="histogram2d", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XBinsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="xbins", parent_name="histogram2d", **kwargs):
-        super(XBinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "XBins"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            end
-                Sets the end value for the x axis bins. The
-                last bin may not end exactly at this value, we
-                increment the bin edge by `size` from `start`
-                until we reach or exceed `end`. Defaults to the
-                maximum data value. Like `start`, for dates use
-                a date string, and for category data `end` is
-                based on the category serial numbers.
-            size
-                Sets the size of each x axis bin. Default
-                behavior: If `nbinsx` is 0 or omitted, we
-                choose a nice round bin size such that the
-                number of bins is about the same as the typical
-                number of samples in each bin. If `nbinsx` is
-                provided, we choose a nice round bin size
-                giving no more than that many bins. For date
-                data, use milliseconds or "M<n>" for months, as
-                in `axis.dtick`. For category data, the number
-                of categories to bin together (always defaults
-                to 1).
-            start
-                Sets the starting value for the x axis bins.
-                Defaults to the minimum data value, shifted
-                down if necessary to make nice round values and
-                to remove ambiguous bin edges. For example, if
-                most of the data is integers we shift the bin
-                edges 0.5 down, so a `size` of 5 would have a
-                default `start` of -0.5, so it is clear that
-                0-4 are in the first bin, 5-9 in the second,
-                but continuous data gets a start of 0 and bins
-                [0,5), [5,10) etc. Dates behave similarly, and
-                `start` should be a date string. For category
-                data, `start` is based on the category serial
-                numbers, and defaults to -0.5.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XbingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="xbingroup", parent_name="histogram2d", **kwargs):
-        super(XbingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="histogram2d", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="histogram2d", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="histogram2d", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="histogram2d", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="histogram2d", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="histogram2d", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="histogram2d", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="histogram2d", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="histogram2d", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="histogram2d", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nbinsy", parent_name="histogram2d", **kwargs):
-        super(NbinsyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nbinsx", parent_name="histogram2d", **kwargs):
-        super(NbinsxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="histogram2d", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="histogram2d", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="histogram2d", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="histogram2d", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the aggregation data.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="histogram2d", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="histogram2d", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="histogram2d", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="histogram2d", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="histogram2d", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="histogram2d", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="histogram2d", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="histogram2d", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="histnorm", parent_name="histogram2d", **kwargs):
-        super(HistnormValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                ["", "percent", "probability", "density", "probability density"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="histfunc", parent_name="histogram2d", **kwargs):
-        super(HistfuncValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="histogram2d", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="histogram2d", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="histogram2d", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="histogram2d", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.histogr
-                am2d.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.histogram2d.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of
-                histogram2d.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.histogram2d.colorb
-                ar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                histogram2d.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                histogram2d.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="histogram2d", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="bingroup", parent_name="histogram2d", **kwargs):
-        super(BingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="histogram2d", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autobiny", parent_name="histogram2d", **kwargs):
-        super(AutobinyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autobinx", parent_name="histogram2d", **kwargs):
-        super(AutobinxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zsmooth import ZsmoothValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zhoverformat import ZhoverformatValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._ygap import YgapValidator
+    from ._ycalendar import YcalendarValidator
+    from ._ybins import YbinsValidator
+    from ._ybingroup import YbingroupValidator
+    from ._yaxis import YaxisValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xgap import XgapValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xbins import XbinsValidator
+    from ._xbingroup import XbingroupValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._nbinsy import NbinsyValidator
+    from ._nbinsx import NbinsxValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._histnorm import HistnormValidator
+    from ._histfunc import HistfuncValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._bingroup import BingroupValidator
+    from ._autocolorscale import AutocolorscaleValidator
+    from ._autobiny import AutobinyValidator
+    from ._autobinx import AutobinxValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zsmooth.ZsmoothValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zhoverformat.ZhoverformatValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._ygap.YgapValidator",
+            "._ycalendar.YcalendarValidator",
+            "._ybins.YbinsValidator",
+            "._ybingroup.YbingroupValidator",
+            "._yaxis.YaxisValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xgap.XgapValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xbins.XbinsValidator",
+            "._xbingroup.XbingroupValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._nbinsy.NbinsyValidator",
+            "._nbinsx.NbinsxValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._histnorm.HistnormValidator",
+            "._histfunc.HistfuncValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._bingroup.BingroupValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+            "._autobiny.AutobinyValidator",
+            "._autobinx.AutobinxValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_autobinx.py b/packages/python/plotly/plotly/validators/histogram2d/_autobinx.py
new file mode 100644
index 00000000000..a395048e471
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_autobinx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autobinx", parent_name="histogram2d", **kwargs):
+        super(AutobinxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_autobiny.py b/packages/python/plotly/plotly/validators/histogram2d/_autobiny.py
new file mode 100644
index 00000000000..e3501a54ee7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_autobiny.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autobiny", parent_name="histogram2d", **kwargs):
+        super(AutobinyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_autocolorscale.py b/packages/python/plotly/plotly/validators/histogram2d/_autocolorscale.py
new file mode 100644
index 00000000000..3162a578774
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="histogram2d", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_bingroup.py b/packages/python/plotly/plotly/validators/histogram2d/_bingroup.py
new file mode 100644
index 00000000000..6699f11930c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_bingroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="bingroup", parent_name="histogram2d", **kwargs):
+        super(BingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_coloraxis.py b/packages/python/plotly/plotly/validators/histogram2d/_coloraxis.py
new file mode 100644
index 00000000000..720ffeb76f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="histogram2d", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_colorbar.py b/packages/python/plotly/plotly/validators/histogram2d/_colorbar.py
new file mode 100644
index 00000000000..9b96330ef38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="histogram2d", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.histogr
+                am2d.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.histogram2d.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of
+                histogram2d.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.histogram2d.colorb
+                ar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                histogram2d.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                histogram2d.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_colorscale.py b/packages/python/plotly/plotly/validators/histogram2d/_colorscale.py
new file mode 100644
index 00000000000..9723c8efc3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="histogram2d", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_customdata.py b/packages/python/plotly/plotly/validators/histogram2d/_customdata.py
new file mode 100644
index 00000000000..594238a6fb0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="histogram2d", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_customdatasrc.py b/packages/python/plotly/plotly/validators/histogram2d/_customdatasrc.py
new file mode 100644
index 00000000000..db90d32e51e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="histogram2d", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_histfunc.py b/packages/python/plotly/plotly/validators/histogram2d/_histfunc.py
new file mode 100644
index 00000000000..d73ddc9c035
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_histfunc.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="histfunc", parent_name="histogram2d", **kwargs):
+        super(HistfuncValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_histnorm.py b/packages/python/plotly/plotly/validators/histogram2d/_histnorm.py
new file mode 100644
index 00000000000..28388bebe44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_histnorm.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="histnorm", parent_name="histogram2d", **kwargs):
+        super(HistnormValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                ["", "percent", "probability", "density", "probability density"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_hoverinfo.py b/packages/python/plotly/plotly/validators/histogram2d/_hoverinfo.py
new file mode 100644
index 00000000000..d1862bb68f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="histogram2d", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/histogram2d/_hoverinfosrc.py
new file mode 100644
index 00000000000..69121ade265
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="histogram2d", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_hoverlabel.py b/packages/python/plotly/plotly/validators/histogram2d/_hoverlabel.py
new file mode 100644
index 00000000000..4e72bc8060b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="histogram2d", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_hovertemplate.py b/packages/python/plotly/plotly/validators/histogram2d/_hovertemplate.py
new file mode 100644
index 00000000000..171bbc63d93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="histogram2d", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/histogram2d/_hovertemplatesrc.py
new file mode 100644
index 00000000000..eda1d428cab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="histogram2d", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_ids.py b/packages/python/plotly/plotly/validators/histogram2d/_ids.py
new file mode 100644
index 00000000000..c2e487ea94d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="histogram2d", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_idssrc.py b/packages/python/plotly/plotly/validators/histogram2d/_idssrc.py
new file mode 100644
index 00000000000..14459cac813
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="histogram2d", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_legendgroup.py b/packages/python/plotly/plotly/validators/histogram2d/_legendgroup.py
new file mode 100644
index 00000000000..8b1e962b32e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="histogram2d", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_marker.py b/packages/python/plotly/plotly/validators/histogram2d/_marker.py
new file mode 100644
index 00000000000..3a0285e9e57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_marker.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="histogram2d", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the aggregation data.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_meta.py b/packages/python/plotly/plotly/validators/histogram2d/_meta.py
new file mode 100644
index 00000000000..4f400b9c135
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="histogram2d", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_metasrc.py b/packages/python/plotly/plotly/validators/histogram2d/_metasrc.py
new file mode 100644
index 00000000000..ca01fbe8606
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="histogram2d", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_name.py b/packages/python/plotly/plotly/validators/histogram2d/_name.py
new file mode 100644
index 00000000000..0f3b9df8f4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="histogram2d", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_nbinsx.py b/packages/python/plotly/plotly/validators/histogram2d/_nbinsx.py
new file mode 100644
index 00000000000..40e3d4e834c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_nbinsx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nbinsx", parent_name="histogram2d", **kwargs):
+        super(NbinsxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_nbinsy.py b/packages/python/plotly/plotly/validators/histogram2d/_nbinsy.py
new file mode 100644
index 00000000000..b18db54aa31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_nbinsy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nbinsy", parent_name="histogram2d", **kwargs):
+        super(NbinsyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_opacity.py b/packages/python/plotly/plotly/validators/histogram2d/_opacity.py
new file mode 100644
index 00000000000..ebb192cb493
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="histogram2d", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_reversescale.py b/packages/python/plotly/plotly/validators/histogram2d/_reversescale.py
new file mode 100644
index 00000000000..34689850c9c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="histogram2d", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_showlegend.py b/packages/python/plotly/plotly/validators/histogram2d/_showlegend.py
new file mode 100644
index 00000000000..62ef64fee24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="histogram2d", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_showscale.py b/packages/python/plotly/plotly/validators/histogram2d/_showscale.py
new file mode 100644
index 00000000000..e729ee9fdfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="histogram2d", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_stream.py b/packages/python/plotly/plotly/validators/histogram2d/_stream.py
new file mode 100644
index 00000000000..f4500661d91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="histogram2d", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_uid.py b/packages/python/plotly/plotly/validators/histogram2d/_uid.py
new file mode 100644
index 00000000000..544c3975414
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="histogram2d", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_uirevision.py b/packages/python/plotly/plotly/validators/histogram2d/_uirevision.py
new file mode 100644
index 00000000000..1d2fff6b3d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="histogram2d", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_visible.py b/packages/python/plotly/plotly/validators/histogram2d/_visible.py
new file mode 100644
index 00000000000..8c9d1b75b86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="histogram2d", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_x.py b/packages/python/plotly/plotly/validators/histogram2d/_x.py
new file mode 100644
index 00000000000..067b2ec7755
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="histogram2d", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_xaxis.py b/packages/python/plotly/plotly/validators/histogram2d/_xaxis.py
new file mode 100644
index 00000000000..2a8f856e343
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="histogram2d", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_xbingroup.py b/packages/python/plotly/plotly/validators/histogram2d/_xbingroup.py
new file mode 100644
index 00000000000..a17e5512fd9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_xbingroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XbingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="xbingroup", parent_name="histogram2d", **kwargs):
+        super(XbingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_xbins.py b/packages/python/plotly/plotly/validators/histogram2d/_xbins.py
new file mode 100644
index 00000000000..dd2912b9ece
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_xbins.py
@@ -0,0 +1,50 @@
+import _plotly_utils.basevalidators
+
+
+class XbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="xbins", parent_name="histogram2d", **kwargs):
+        super(XbinsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "XBins"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            end
+                Sets the end value for the x axis bins. The
+                last bin may not end exactly at this value, we
+                increment the bin edge by `size` from `start`
+                until we reach or exceed `end`. Defaults to the
+                maximum data value. Like `start`, for dates use
+                a date string, and for category data `end` is
+                based on the category serial numbers.
+            size
+                Sets the size of each x axis bin. Default
+                behavior: If `nbinsx` is 0 or omitted, we
+                choose a nice round bin size such that the
+                number of bins is about the same as the typical
+                number of samples in each bin. If `nbinsx` is
+                provided, we choose a nice round bin size
+                giving no more than that many bins. For date
+                data, use milliseconds or "M<n>" for months, as
+                in `axis.dtick`. For category data, the number
+                of categories to bin together (always defaults
+                to 1).
+            start
+                Sets the starting value for the x axis bins.
+                Defaults to the minimum data value, shifted
+                down if necessary to make nice round values and
+                to remove ambiguous bin edges. For example, if
+                most of the data is integers we shift the bin
+                edges 0.5 down, so a `size` of 5 would have a
+                default `start` of -0.5, so it is clear that
+                0-4 are in the first bin, 5-9 in the second,
+                but continuous data gets a start of 0 and bins
+                [0,5), [5,10) etc. Dates behave similarly, and
+                `start` should be a date string. For category
+                data, `start` is based on the category serial
+                numbers, and defaults to -0.5.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_xcalendar.py b/packages/python/plotly/plotly/validators/histogram2d/_xcalendar.py
new file mode 100644
index 00000000000..c47be9e02d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="histogram2d", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_xgap.py b/packages/python/plotly/plotly/validators/histogram2d/_xgap.py
new file mode 100644
index 00000000000..ce98ea6a5f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_xgap.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xgap", parent_name="histogram2d", **kwargs):
+        super(XgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_xsrc.py b/packages/python/plotly/plotly/validators/histogram2d/_xsrc.py
new file mode 100644
index 00000000000..f032112fcff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="histogram2d", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_y.py b/packages/python/plotly/plotly/validators/histogram2d/_y.py
new file mode 100644
index 00000000000..b072d3ece76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="histogram2d", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_yaxis.py b/packages/python/plotly/plotly/validators/histogram2d/_yaxis.py
new file mode 100644
index 00000000000..6d8af1671a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="histogram2d", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_ybingroup.py b/packages/python/plotly/plotly/validators/histogram2d/_ybingroup.py
new file mode 100644
index 00000000000..7640aa9f7e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_ybingroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YbingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="ybingroup", parent_name="histogram2d", **kwargs):
+        super(YbingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_ybins.py b/packages/python/plotly/plotly/validators/histogram2d/_ybins.py
new file mode 100644
index 00000000000..8f7c60c212b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_ybins.py
@@ -0,0 +1,50 @@
+import _plotly_utils.basevalidators
+
+
+class YbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="ybins", parent_name="histogram2d", **kwargs):
+        super(YbinsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "YBins"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            end
+                Sets the end value for the y axis bins. The
+                last bin may not end exactly at this value, we
+                increment the bin edge by `size` from `start`
+                until we reach or exceed `end`. Defaults to the
+                maximum data value. Like `start`, for dates use
+                a date string, and for category data `end` is
+                based on the category serial numbers.
+            size
+                Sets the size of each y axis bin. Default
+                behavior: If `nbinsy` is 0 or omitted, we
+                choose a nice round bin size such that the
+                number of bins is about the same as the typical
+                number of samples in each bin. If `nbinsy` is
+                provided, we choose a nice round bin size
+                giving no more than that many bins. For date
+                data, use milliseconds or "M<n>" for months, as
+                in `axis.dtick`. For category data, the number
+                of categories to bin together (always defaults
+                to 1).
+            start
+                Sets the starting value for the y axis bins.
+                Defaults to the minimum data value, shifted
+                down if necessary to make nice round values and
+                to remove ambiguous bin edges. For example, if
+                most of the data is integers we shift the bin
+                edges 0.5 down, so a `size` of 5 would have a
+                default `start` of -0.5, so it is clear that
+                0-4 are in the first bin, 5-9 in the second,
+                but continuous data gets a start of 0 and bins
+                [0,5), [5,10) etc. Dates behave similarly, and
+                `start` should be a date string. For category
+                data, `start` is based on the category serial
+                numbers, and defaults to -0.5.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_ycalendar.py b/packages/python/plotly/plotly/validators/histogram2d/_ycalendar.py
new file mode 100644
index 00000000000..c4488c18ecc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="histogram2d", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_ygap.py b/packages/python/plotly/plotly/validators/histogram2d/_ygap.py
new file mode 100644
index 00000000000..bfc14c95aea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_ygap.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ygap", parent_name="histogram2d", **kwargs):
+        super(YgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_ysrc.py b/packages/python/plotly/plotly/validators/histogram2d/_ysrc.py
new file mode 100644
index 00000000000..379db72fab8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="histogram2d", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_z.py b/packages/python/plotly/plotly/validators/histogram2d/_z.py
new file mode 100644
index 00000000000..b0dfa8e4148
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="histogram2d", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zauto.py b/packages/python/plotly/plotly/validators/histogram2d/_zauto.py
new file mode 100644
index 00000000000..c43b0aa56c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="histogram2d", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zhoverformat.py b/packages/python/plotly/plotly/validators/histogram2d/_zhoverformat.py
new file mode 100644
index 00000000000..0169ea781c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zhoverformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="zhoverformat", parent_name="histogram2d", **kwargs):
+        super(ZhoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zmax.py b/packages/python/plotly/plotly/validators/histogram2d/_zmax.py
new file mode 100644
index 00000000000..f2067cf8dfa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="histogram2d", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zmid.py b/packages/python/plotly/plotly/validators/histogram2d/_zmid.py
new file mode 100644
index 00000000000..ffb579a159c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="histogram2d", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zmin.py b/packages/python/plotly/plotly/validators/histogram2d/_zmin.py
new file mode 100644
index 00000000000..95d5072d494
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="histogram2d", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zsmooth.py b/packages/python/plotly/plotly/validators/histogram2d/_zsmooth.py
new file mode 100644
index 00000000000..c2094c729c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zsmooth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZsmoothValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="zsmooth", parent_name="histogram2d", **kwargs):
+        super(ZsmoothValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fast", "best", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/_zsrc.py b/packages/python/plotly/plotly/validators/histogram2d/_zsrc.py
new file mode 100644
index 00000000000..02034071257
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="histogram2d", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/__init__.py
index b6ee44fb3e6..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/__init__.py
@@ -1,768 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="histogram2d.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="histogram2d.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="histogram2d.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="histogram2d.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="histogram2d.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="histogram2d.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="histogram2d.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..941a65a0fdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..063928b8294
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..84764b00348
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_dtick.py
new file mode 100644
index 00000000000..9faca731c9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..33bbe868c1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_len.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_len.py
new file mode 100644
index 00000000000..4dce4291812
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="histogram2d.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_lenmode.py
new file mode 100644
index 00000000000..2915f456d84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_nticks.py
new file mode 100644
index 00000000000..f485e206036
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..d174570d58a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..2c671565c02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..fc9ecd8315d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="histogram2d.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showexponent.py
new file mode 100644
index 00000000000..04031049f4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..95e85a492e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..290f407dd7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..f49c51df5ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thickness.py
new file mode 100644
index 00000000000..43706e0d190
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..836295cfd96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tick0.py
new file mode 100644
index 00000000000..298272d1779
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickangle.py
new file mode 100644
index 00000000000..cd86fb02c05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..a46df2b2ef1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickfont.py
new file mode 100644
index 00000000000..5ff2b15b903
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformat.py
new file mode 100644
index 00000000000..844319488c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..224dda03b09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="histogram2d.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..41c9efd2d1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="histogram2d.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticklen.py
new file mode 100644
index 00000000000..49273c131bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickmode.py
new file mode 100644
index 00000000000..3f5614451ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..7f5a492910a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticks.py
new file mode 100644
index 00000000000..5a6379a9754
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..5ff918bcf5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticktext.py
new file mode 100644
index 00000000000..b6ea6408a5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..424f92c7243
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickvals.py
new file mode 100644
index 00000000000..d133d68d1a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..6617abaa095
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..eb40ed0467d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_title.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_title.py
new file mode 100644
index 00000000000..63ed9f30357
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_x.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_x.py
new file mode 100644
index 00000000000..8bd48406755
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="histogram2d.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_xanchor.py
new file mode 100644
index 00000000000..8780ec7f885
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_xpad.py
new file mode 100644
index 00000000000..8866a1c58e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_y.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_y.py
new file mode 100644
index 00000000000..ce557238e5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="histogram2d.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_yanchor.py
new file mode 100644
index 00000000000..89d652d993e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ypad.py
new file mode 100644
index 00000000000..3835b04a9b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="histogram2d.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/__init__.py
index 51abcb84534..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="histogram2d.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram2d.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram2d.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..e55b6a956ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram2d.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..95d5d421a3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram2d.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..a2e4b841630
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="histogram2d.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/__init__.py
index ec9b74a56d5..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="histogram2d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="histogram2d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="histogram2d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="histogram2d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="histogram2d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..06b3c331504
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="histogram2d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..f943f7daf78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="histogram2d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..41938b0fd07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="histogram2d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..afc66021e57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="histogram2d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..a63bb14723f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="histogram2d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/__init__.py
index b676e5a055f..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="histogram2d.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="histogram2d.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="histogram2d.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_font.py
new file mode 100644
index 00000000000..905584ef83d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="histogram2d.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_side.py
new file mode 100644
index 00000000000..fbafb516242
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="histogram2d.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_text.py
new file mode 100644
index 00000000000..e6afd60ab19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="histogram2d.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/__init__.py
index 145bc2c4915..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram2d.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram2d.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram2d.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..641c695fa1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram2d.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..b7fb9386513
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram2d.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..2676f04c57e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram2d.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/__init__.py
index 458324c8794..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/__init__.py
@@ -1,188 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="histogram2d.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="histogram2d.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="histogram2d.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_align.py
new file mode 100644
index 00000000000..6c41970740e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..92765b8e5f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..94600735e88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..07b89c2bb73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..43c5d9692f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..e52ed40d273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="histogram2d.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_font.py
new file mode 100644
index 00000000000..27fcf2822e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..796923f7066
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="histogram2d.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..a4cc4d69c8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="histogram2d.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/__init__.py
index 0810951a074..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/__init__.py
@@ -1,106 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="histogram2d.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="histogram2d.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="histogram2d.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="histogram2d.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="histogram2d.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram2d.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..5e483a88787
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram2d.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..896b6058f87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="histogram2d.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..e4b50a52d16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="histogram2d.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..62b020d2472
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="histogram2d.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..8be751d3281
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="histogram2d.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..7f2165e7255
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="histogram2d.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/marker/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/marker/__init__.py
index bfbb4f0ec53..bdc564f8f76 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/marker/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="histogram2d.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="color", parent_name="histogram2d.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._colorsrc.ColorsrcValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/marker/_color.py b/packages/python/plotly/plotly/validators/histogram2d/marker/_color.py
new file mode 100644
index 00000000000..c978458df9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/marker/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="color", parent_name="histogram2d.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram2d/marker/_colorsrc.py
new file mode 100644
index 00000000000..53b2b7dd87b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="histogram2d.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/stream/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/stream/__init__.py
index a5a9db92f91..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="histogram2d.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="histogram2d.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/histogram2d/stream/_maxpoints.py
new file mode 100644
index 00000000000..1e819d936dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="histogram2d.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/stream/_token.py b/packages/python/plotly/plotly/validators/histogram2d/stream/_token.py
new file mode 100644
index 00000000000..ec42683701f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="histogram2d.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/xbins/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/xbins/__init__.py
index 1bbacbe0ce9..c00e4e78187 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/xbins/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/xbins/__init__.py
@@ -1,40 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="start", parent_name="histogram2d.xbins", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="size", parent_name="histogram2d.xbins", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="end", parent_name="histogram2d.xbins", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._end import EndValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._start.StartValidator", "._size.SizeValidator", "._end.EndValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/xbins/_end.py b/packages/python/plotly/plotly/validators/histogram2d/xbins/_end.py
new file mode 100644
index 00000000000..9efdc27695a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/xbins/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="end", parent_name="histogram2d.xbins", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/xbins/_size.py b/packages/python/plotly/plotly/validators/histogram2d/xbins/_size.py
new file mode 100644
index 00000000000..52724dacaf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/xbins/_size.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="size", parent_name="histogram2d.xbins", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/xbins/_start.py b/packages/python/plotly/plotly/validators/histogram2d/xbins/_start.py
new file mode 100644
index 00000000000..9876927c568
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/xbins/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="start", parent_name="histogram2d.xbins", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/ybins/__init__.py b/packages/python/plotly/plotly/validators/histogram2d/ybins/__init__.py
index 48c8e6d3488..c00e4e78187 100644
--- a/packages/python/plotly/plotly/validators/histogram2d/ybins/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2d/ybins/__init__.py
@@ -1,40 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="start", parent_name="histogram2d.ybins", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="size", parent_name="histogram2d.ybins", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="end", parent_name="histogram2d.ybins", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._end import EndValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._start.StartValidator", "._size.SizeValidator", "._end.EndValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/ybins/_end.py b/packages/python/plotly/plotly/validators/histogram2d/ybins/_end.py
new file mode 100644
index 00000000000..a0221a4db83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/ybins/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="end", parent_name="histogram2d.ybins", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/ybins/_size.py b/packages/python/plotly/plotly/validators/histogram2d/ybins/_size.py
new file mode 100644
index 00000000000..acbd0e8acc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/ybins/_size.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="size", parent_name="histogram2d.ybins", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2d/ybins/_start.py b/packages/python/plotly/plotly/validators/histogram2d/ybins/_start.py
new file mode 100644
index 00000000000..87bf842c1ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2d/ybins/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="start", parent_name="histogram2d.ybins", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/__init__.py
index 3a7221161fb..9090db70da5 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/__init__.py
@@ -1,1363 +1,124 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="histogram2dcontour", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmin", parent_name="histogram2dcontour", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmid", parent_name="histogram2dcontour", **kwargs):
-        super(ZmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zmax", parent_name="histogram2dcontour", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="zhoverformat", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ZhoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zauto", parent_name="histogram2dcontour", **kwargs):
-        super(ZautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="histogram2dcontour", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="histogram2dcontour", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ycalendar", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YBinsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="ybins", parent_name="histogram2dcontour", **kwargs):
-        super(YBinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "YBins"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            end
-                Sets the end value for the y axis bins. The
-                last bin may not end exactly at this value, we
-                increment the bin edge by `size` from `start`
-                until we reach or exceed `end`. Defaults to the
-                maximum data value. Like `start`, for dates use
-                a date string, and for category data `end` is
-                based on the category serial numbers.
-            size
-                Sets the size of each y axis bin. Default
-                behavior: If `nbinsy` is 0 or omitted, we
-                choose a nice round bin size such that the
-                number of bins is about the same as the typical
-                number of samples in each bin. If `nbinsy` is
-                provided, we choose a nice round bin size
-                giving no more than that many bins. For date
-                data, use milliseconds or "M<n>" for months, as
-                in `axis.dtick`. For category data, the number
-                of categories to bin together (always defaults
-                to 1).
-            start
-                Sets the starting value for the y axis bins.
-                Defaults to the minimum data value, shifted
-                down if necessary to make nice round values and
-                to remove ambiguous bin edges. For example, if
-                most of the data is integers we shift the bin
-                edges 0.5 down, so a `size` of 5 would have a
-                default `start` of -0.5, so it is clear that
-                0-4 are in the first bin, 5-9 in the second,
-                but continuous data gets a start of 0 and bins
-                [0,5), [5,10) etc. Dates behave similarly, and
-                `start` should be a date string. For category
-                data, `start` is based on the category serial
-                numbers, and defaults to -0.5.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YbingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ybingroup", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(YbingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="histogram2dcontour", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="histogram2dcontour", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="histogram2dcontour", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xcalendar", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XBinsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="xbins", parent_name="histogram2dcontour", **kwargs):
-        super(XBinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "XBins"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            end
-                Sets the end value for the x axis bins. The
-                last bin may not end exactly at this value, we
-                increment the bin edge by `size` from `start`
-                until we reach or exceed `end`. Defaults to the
-                maximum data value. Like `start`, for dates use
-                a date string, and for category data `end` is
-                based on the category serial numbers.
-            size
-                Sets the size of each x axis bin. Default
-                behavior: If `nbinsx` is 0 or omitted, we
-                choose a nice round bin size such that the
-                number of bins is about the same as the typical
-                number of samples in each bin. If `nbinsx` is
-                provided, we choose a nice round bin size
-                giving no more than that many bins. For date
-                data, use milliseconds or "M<n>" for months, as
-                in `axis.dtick`. For category data, the number
-                of categories to bin together (always defaults
-                to 1).
-            start
-                Sets the starting value for the x axis bins.
-                Defaults to the minimum data value, shifted
-                down if necessary to make nice round values and
-                to remove ambiguous bin edges. For example, if
-                most of the data is integers we shift the bin
-                edges 0.5 down, so a `size` of 5 would have a
-                default `start` of -0.5, so it is clear that
-                0-4 are in the first bin, 5-9 in the second,
-                but continuous data gets a start of 0 and bins
-                [0,5), [5,10) etc. Dates behave similarly, and
-                `start` should be a date string. For category
-                data, `start` is based on the category serial
-                numbers, and defaults to -0.5.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XbingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="xbingroup", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(XbingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="histogram2dcontour", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="histogram2dcontour", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="histogram2dcontour", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="stream", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlegend", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="ncontours", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(NcontoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nbinsy", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(NbinsyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nbinsx", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(NbinsxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="histogram2dcontour", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="metasrc", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="histogram2dcontour", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the aggregation data.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="histogram2dcontour", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour level. Has no
-                effect if `contours.coloring` is set to
-                "lines".
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            smoothing
-                Sets the amount of smoothing for the contour
-                lines, where 0 corresponds to no smoothing.
-            width
-                Sets the contour line width in (in px)
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="idssrc", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="histogram2dcontour", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="hoverlabel", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(
-        self, plotly_name="hoverinfo", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="histnorm", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HistnormValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                ["", "percent", "probability", "density", "probability density"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="histfunc", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(HistfuncValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="customdata", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="contours", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ContoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contours"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            coloring
-                Determines the coloring method showing the
-                contour values. If "fill", coloring is done
-                evenly between each contour level If "heatmap",
-                a heatmap gradient coloring is applied between
-                each contour level. If "lines", coloring is
-                done on the contour lines. If "none", no
-                coloring is applied on this trace.
-            end
-                Sets the end contour level value. Must be more
-                than `contours.start`
-            labelfont
-                Sets the font used for labeling the contour
-                levels. The default color comes from the lines,
-                if shown. The default family and size come from
-                `layout.font`.
-            labelformat
-                Sets the contour label formatting rule using d3
-                formatting mini-language which is very similar
-                to Python, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            operation
-                Sets the constraint operation. "=" keeps
-                regions equal to `value` "<" and "<=" keep
-                regions less than `value` ">" and ">=" keep
-                regions greater than `value` "[]", "()", "[)",
-                and "(]" keep regions inside `value[0]` to
-                `value[1]` "][", ")(", "](", ")[" keep regions
-                outside `value[0]` to value[1]` Open vs. closed
-                intervals make no difference to constraint
-                display, but all versions are allowed for
-                consistency with filter transforms.
-            showlabels
-                Determines whether to label the contour lines
-                with their values.
-            showlines
-                Determines whether or not the contour lines are
-                drawn. Has an effect only if
-                `contours.coloring` is set to "fill".
-            size
-                Sets the step between each contour level. Must
-                be positive.
-            start
-                Sets the starting contour level value. Must be
-                less than `contours.end`
-            type
-                If `levels`, the data is represented as a
-                contour plot with multiple levels displayed. If
-                `constraint`, the data is represented as
-                constraints with the invalid region shaded as
-                specified by the `operation` and `value`
-                parameters.
-            value
-                Sets the value or values of the constraint
-                boundary. When `operation` is set to one of the
-                comparison values (=,<,>=,>,<=) "value" is
-                expected to be a number. When `operation` is
-                set to one of the interval values
-                ([],(),[),(],][,)(,](,)[) "value" is expected
-                to be an array of two numbers where the first
-                is the lower bound and the second is the upper
-                bound.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.histogr
-                am2dcontour.colorbar.Tickformatstop` instances
-                or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.histogram2dcontour.colorbar.tickformatstopdef
-                aults), sets the default property values to use
-                for elements of
-                histogram2dcontour.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.histogram2dcontour
-                .colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                histogram2dcontour.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                histogram2dcontour.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="bingroup", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(BingroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocontour", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(AutocontourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autobiny", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(AutobinyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autobinx", parent_name="histogram2dcontour", **kwargs
-    ):
-        super(AutobinxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmid import ZmidValidator
+    from ._zmax import ZmaxValidator
+    from ._zhoverformat import ZhoverformatValidator
+    from ._zauto import ZautoValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._ybins import YbinsValidator
+    from ._ybingroup import YbingroupValidator
+    from ._yaxis import YaxisValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xbins import XbinsValidator
+    from ._xbingroup import XbingroupValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._ncontours import NcontoursValidator
+    from ._nbinsy import NbinsyValidator
+    from ._nbinsx import NbinsxValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._histnorm import HistnormValidator
+    from ._histfunc import HistfuncValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contours import ContoursValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._bingroup import BingroupValidator
+    from ._autocontour import AutocontourValidator
+    from ._autocolorscale import AutocolorscaleValidator
+    from ._autobiny import AutobinyValidator
+    from ._autobinx import AutobinxValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmid.ZmidValidator",
+            "._zmax.ZmaxValidator",
+            "._zhoverformat.ZhoverformatValidator",
+            "._zauto.ZautoValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._ybins.YbinsValidator",
+            "._ybingroup.YbingroupValidator",
+            "._yaxis.YaxisValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xbins.XbinsValidator",
+            "._xbingroup.XbingroupValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._ncontours.NcontoursValidator",
+            "._nbinsy.NbinsyValidator",
+            "._nbinsx.NbinsxValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._histnorm.HistnormValidator",
+            "._histfunc.HistfuncValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contours.ContoursValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._bingroup.BingroupValidator",
+            "._autocontour.AutocontourValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+            "._autobiny.AutobinyValidator",
+            "._autobinx.AutobinxValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_autobinx.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_autobinx.py
new file mode 100644
index 00000000000..cd5f4a3a234
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_autobinx.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autobinx", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(AutobinxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_autobiny.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_autobiny.py
new file mode 100644
index 00000000000..11ac03d7819
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_autobiny.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autobiny", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(AutobinyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_autocolorscale.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_autocolorscale.py
new file mode 100644
index 00000000000..cf1e8c4f7f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_autocontour.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_autocontour.py
new file mode 100644
index 00000000000..20aa16a798e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_autocontour.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocontour", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(AutocontourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_bingroup.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_bingroup.py
new file mode 100644
index 00000000000..cd42a96b59c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_bingroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="bingroup", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(BingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_coloraxis.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_coloraxis.py
new file mode 100644
index 00000000000..c5f462c242b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_colorbar.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_colorbar.py
new file mode 100644
index 00000000000..11d3f5a1e00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.histogr
+                am2dcontour.colorbar.Tickformatstop` instances
+                or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.histogram2dcontour.colorbar.tickformatstopdef
+                aults), sets the default property values to use
+                for elements of
+                histogram2dcontour.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.histogram2dcontour
+                .colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                histogram2dcontour.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                histogram2dcontour.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_colorscale.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_colorscale.py
new file mode 100644
index 00000000000..b9cfaeb093e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_contours.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_contours.py
new file mode 100644
index 00000000000..fdf7dc996c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_contours.py
@@ -0,0 +1,81 @@
+import _plotly_utils.basevalidators
+
+
+class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="contours", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ContoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contours"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            coloring
+                Determines the coloring method showing the
+                contour values. If "fill", coloring is done
+                evenly between each contour level If "heatmap",
+                a heatmap gradient coloring is applied between
+                each contour level. If "lines", coloring is
+                done on the contour lines. If "none", no
+                coloring is applied on this trace.
+            end
+                Sets the end contour level value. Must be more
+                than `contours.start`
+            labelfont
+                Sets the font used for labeling the contour
+                levels. The default color comes from the lines,
+                if shown. The default family and size come from
+                `layout.font`.
+            labelformat
+                Sets the contour label formatting rule using d3
+                formatting mini-language which is very similar
+                to Python, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            operation
+                Sets the constraint operation. "=" keeps
+                regions equal to `value` "<" and "<=" keep
+                regions less than `value` ">" and ">=" keep
+                regions greater than `value` "[]", "()", "[)",
+                and "(]" keep regions inside `value[0]` to
+                `value[1]` "][", ")(", "](", ")[" keep regions
+                outside `value[0]` to value[1]` Open vs. closed
+                intervals make no difference to constraint
+                display, but all versions are allowed for
+                consistency with filter transforms.
+            showlabels
+                Determines whether to label the contour lines
+                with their values.
+            showlines
+                Determines whether or not the contour lines are
+                drawn. Has an effect only if
+                `contours.coloring` is set to "fill".
+            size
+                Sets the step between each contour level. Must
+                be positive.
+            start
+                Sets the starting contour level value. Must be
+                less than `contours.end`
+            type
+                If `levels`, the data is represented as a
+                contour plot with multiple levels displayed. If
+                `constraint`, the data is represented as
+                constraints with the invalid region shaded as
+                specified by the `operation` and `value`
+                parameters.
+            value
+                Sets the value or values of the constraint
+                boundary. When `operation` is set to one of the
+                comparison values (=,<,>=,>,<=) "value" is
+                expected to be a number. When `operation` is
+                set to one of the interval values
+                ([],(),[),(],][,)(,](,)[) "value" is expected
+                to be an array of two numbers where the first
+                is the lower bound and the second is the upper
+                bound.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_customdata.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_customdata.py
new file mode 100644
index 00000000000..c0e30f77929
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_customdata.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="customdata", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_customdatasrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_customdatasrc.py
new file mode 100644
index 00000000000..655ad585a13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_histfunc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_histfunc.py
new file mode 100644
index 00000000000..33daa1ed042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_histfunc.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="histfunc", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HistfuncValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_histnorm.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_histnorm.py
new file mode 100644
index 00000000000..6a4fa3d1d73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_histnorm.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="histnorm", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HistnormValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                ["", "percent", "probability", "density", "probability density"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverinfo.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverinfo.py
new file mode 100644
index 00000000000..0b067429738
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverinfo.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(
+        self, plotly_name="hoverinfo", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverinfosrc.py
new file mode 100644
index 00000000000..9af917e7de3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverlabel.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverlabel.py
new file mode 100644
index 00000000000..4b780f7ffb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_hoverlabel.py
@@ -0,0 +1,53 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="hoverlabel", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_hovertemplate.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_hovertemplate.py
new file mode 100644
index 00000000000..af1635ecbb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_hovertemplatesrc.py
new file mode 100644
index 00000000000..24dc8efe62d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_ids.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_ids.py
new file mode 100644
index 00000000000..6e23b313eed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="histogram2dcontour", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_idssrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_idssrc.py
new file mode 100644
index 00000000000..1346e9f0bac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_idssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="idssrc", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_legendgroup.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_legendgroup.py
new file mode 100644
index 00000000000..e13b3e40648
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_line.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_line.py
new file mode 100644
index 00000000000..425aea7b2ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_line.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="histogram2dcontour", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour level. Has no
+                effect if `contours.coloring` is set to
+                "lines".
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            smoothing
+                Sets the amount of smoothing for the contour
+                lines, where 0 corresponds to no smoothing.
+            width
+                Sets the contour line width in (in px)
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_marker.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_marker.py
new file mode 100644
index 00000000000..71c1020af9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_marker.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the aggregation data.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_meta.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_meta.py
new file mode 100644
index 00000000000..b510a823bcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="histogram2dcontour", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_metasrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_metasrc.py
new file mode 100644
index 00000000000..b813a1fedee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_metasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="metasrc", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_name.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_name.py
new file mode 100644
index 00000000000..1b9ce6d010b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="histogram2dcontour", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_nbinsx.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_nbinsx.py
new file mode 100644
index 00000000000..c137d71b1c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_nbinsx.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nbinsx", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(NbinsxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_nbinsy.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_nbinsy.py
new file mode 100644
index 00000000000..9458788e675
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_nbinsy.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nbinsy", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(NbinsyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_ncontours.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_ncontours.py
new file mode 100644
index 00000000000..0f60be1f5b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_ncontours.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="ncontours", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(NcontoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_opacity.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_opacity.py
new file mode 100644
index 00000000000..526278b750f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_reversescale.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_reversescale.py
new file mode 100644
index 00000000000..2eb7478c150
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_showlegend.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_showlegend.py
new file mode 100644
index 00000000000..d355e31961e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_showlegend.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlegend", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_showscale.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_showscale.py
new file mode 100644
index 00000000000..6930fc503a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_stream.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_stream.py
new file mode 100644
index 00000000000..b47f447d5ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_stream.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="stream", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_uid.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_uid.py
new file mode 100644
index 00000000000..2e780cb14c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="histogram2dcontour", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_uirevision.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_uirevision.py
new file mode 100644
index 00000000000..593b60535f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_visible.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_visible.py
new file mode 100644
index 00000000000..7d8ba1a5a9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_visible.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_x.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_x.py
new file mode 100644
index 00000000000..74a9e9e3a76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="histogram2dcontour", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_xaxis.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_xaxis.py
new file mode 100644
index 00000000000..4f076a91734
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="histogram2dcontour", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_xbingroup.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_xbingroup.py
new file mode 100644
index 00000000000..07d470809e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_xbingroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XbingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="xbingroup", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(XbingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_xbins.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_xbins.py
new file mode 100644
index 00000000000..1a5a20c6ff2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_xbins.py
@@ -0,0 +1,50 @@
+import _plotly_utils.basevalidators
+
+
+class XbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="xbins", parent_name="histogram2dcontour", **kwargs):
+        super(XbinsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "XBins"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            end
+                Sets the end value for the x axis bins. The
+                last bin may not end exactly at this value, we
+                increment the bin edge by `size` from `start`
+                until we reach or exceed `end`. Defaults to the
+                maximum data value. Like `start`, for dates use
+                a date string, and for category data `end` is
+                based on the category serial numbers.
+            size
+                Sets the size of each x axis bin. Default
+                behavior: If `nbinsx` is 0 or omitted, we
+                choose a nice round bin size such that the
+                number of bins is about the same as the typical
+                number of samples in each bin. If `nbinsx` is
+                provided, we choose a nice round bin size
+                giving no more than that many bins. For date
+                data, use milliseconds or "M<n>" for months, as
+                in `axis.dtick`. For category data, the number
+                of categories to bin together (always defaults
+                to 1).
+            start
+                Sets the starting value for the x axis bins.
+                Defaults to the minimum data value, shifted
+                down if necessary to make nice round values and
+                to remove ambiguous bin edges. For example, if
+                most of the data is integers we shift the bin
+                edges 0.5 down, so a `size` of 5 would have a
+                default `start` of -0.5, so it is clear that
+                0-4 are in the first bin, 5-9 in the second,
+                but continuous data gets a start of 0 and bins
+                [0,5), [5,10) etc. Dates behave similarly, and
+                `start` should be a date string. For category
+                data, `start` is based on the category serial
+                numbers, and defaults to -0.5.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_xcalendar.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_xcalendar.py
new file mode 100644
index 00000000000..84108021636
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_xcalendar.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xcalendar", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_xsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_xsrc.py
new file mode 100644
index 00000000000..52e2532e748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="histogram2dcontour", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_y.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_y.py
new file mode 100644
index 00000000000..f019fa05d2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="histogram2dcontour", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_yaxis.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_yaxis.py
new file mode 100644
index 00000000000..e1793d18ff4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="histogram2dcontour", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_ybingroup.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_ybingroup.py
new file mode 100644
index 00000000000..1fd97181042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_ybingroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YbingroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ybingroup", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(YbingroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_ybins.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_ybins.py
new file mode 100644
index 00000000000..f94bcf66585
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_ybins.py
@@ -0,0 +1,50 @@
+import _plotly_utils.basevalidators
+
+
+class YbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="ybins", parent_name="histogram2dcontour", **kwargs):
+        super(YbinsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "YBins"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            end
+                Sets the end value for the y axis bins. The
+                last bin may not end exactly at this value, we
+                increment the bin edge by `size` from `start`
+                until we reach or exceed `end`. Defaults to the
+                maximum data value. Like `start`, for dates use
+                a date string, and for category data `end` is
+                based on the category serial numbers.
+            size
+                Sets the size of each y axis bin. Default
+                behavior: If `nbinsy` is 0 or omitted, we
+                choose a nice round bin size such that the
+                number of bins is about the same as the typical
+                number of samples in each bin. If `nbinsy` is
+                provided, we choose a nice round bin size
+                giving no more than that many bins. For date
+                data, use milliseconds or "M<n>" for months, as
+                in `axis.dtick`. For category data, the number
+                of categories to bin together (always defaults
+                to 1).
+            start
+                Sets the starting value for the y axis bins.
+                Defaults to the minimum data value, shifted
+                down if necessary to make nice round values and
+                to remove ambiguous bin edges. For example, if
+                most of the data is integers we shift the bin
+                edges 0.5 down, so a `size` of 5 would have a
+                default `start` of -0.5, so it is clear that
+                0-4 are in the first bin, 5-9 in the second,
+                but continuous data gets a start of 0 and bins
+                [0,5), [5,10) etc. Dates behave similarly, and
+                `start` should be a date string. For category
+                data, `start` is based on the category serial
+                numbers, and defaults to -0.5.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_ycalendar.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_ycalendar.py
new file mode 100644
index 00000000000..87084cece52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_ycalendar.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ycalendar", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_ysrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_ysrc.py
new file mode 100644
index 00000000000..310f2d51cfe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="histogram2dcontour", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_z.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_z.py
new file mode 100644
index 00000000000..48de2103d19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="histogram2dcontour", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_zauto.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_zauto.py
new file mode 100644
index 00000000000..3735ddff243
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_zauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zauto", parent_name="histogram2dcontour", **kwargs):
+        super(ZautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_zhoverformat.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_zhoverformat.py
new file mode 100644
index 00000000000..3cbd8a8c65a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_zhoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="zhoverformat", parent_name="histogram2dcontour", **kwargs
+    ):
+        super(ZhoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_zmax.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_zmax.py
new file mode 100644
index 00000000000..817f8b18f88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_zmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmax", parent_name="histogram2dcontour", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_zmid.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_zmid.py
new file mode 100644
index 00000000000..eb63bade516
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_zmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmid", parent_name="histogram2dcontour", **kwargs):
+        super(ZmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_zmin.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_zmin.py
new file mode 100644
index 00000000000..d71ae105741
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_zmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zmin", parent_name="histogram2dcontour", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/_zsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/_zsrc.py
new file mode 100644
index 00000000000..e4048ad1dc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="histogram2dcontour", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/__init__.py
index db0032b7cde..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/__init__.py
@@ -1,843 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickvals",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="ticktext",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="tickmode",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickfont",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="histogram2dcontour.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="histogram2dcontour.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..e0f23be034d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..6eb382f78b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..611f964e191
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_dtick.py
new file mode 100644
index 00000000000..c8daccfebef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..5e781ed9038
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_len.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_len.py
new file mode 100644
index 00000000000..f74c2bc275b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_lenmode.py
new file mode 100644
index 00000000000..a3ea0f95719
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_nticks.py
new file mode 100644
index 00000000000..ebeddeb66ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..547eebd455e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..fa5b31e9368
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..acd2ee04af2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showexponent.py
new file mode 100644
index 00000000000..b23ceb9ad10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..a6bc8dda551
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..2f1dfc1f3a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..0f143a2dda1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_thickness.py
new file mode 100644
index 00000000000..8dfbc0ab736
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..cf414b452dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tick0.py
new file mode 100644
index 00000000000..0b5a7e01e4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickangle.py
new file mode 100644
index 00000000000..37e062c6367
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..63827fb82f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickfont.py
new file mode 100644
index 00000000000..e43c5a162b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickfont",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformat.py
new file mode 100644
index 00000000000..7ff4233f2d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..131d48d3d11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..fd5fc2ce1b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticklen.py
new file mode 100644
index 00000000000..640d03ae9ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickmode.py
new file mode 100644
index 00000000000..0b6a68f42c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickmode.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="tickmode",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..8eacce9868d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticks.py
new file mode 100644
index 00000000000..e31210caeee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..abef87beb55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticktext.py
new file mode 100644
index 00000000000..ac456e3d774
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticktext.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="ticktext",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..dcd1ea757c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickvals.py
new file mode 100644
index 00000000000..304365ea35c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickvals.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickvals",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..1305af20fe2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..7f4613854e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="histogram2dcontour.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_title.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_title.py
new file mode 100644
index 00000000000..1e939a249af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_x.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_x.py
new file mode 100644
index 00000000000..52555fe69c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_xanchor.py
new file mode 100644
index 00000000000..922d1f9f91a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_xpad.py
new file mode 100644
index 00000000000..88707cd4327
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_y.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_y.py
new file mode 100644
index 00000000000..f25ddd0f5ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_yanchor.py
new file mode 100644
index 00000000000..433a216f397
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ypad.py
new file mode 100644
index 00000000000..f81fe8484a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="histogram2dcontour.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/__init__.py
index 249d2dc19b6..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram2dcontour.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram2dcontour.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram2dcontour.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..e777d9777f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram2dcontour.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..ec63096501e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram2dcontour.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..f422d5767f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram2dcontour.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/__init__.py
index 741ee03bb99..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="histogram2dcontour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="histogram2dcontour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="histogram2dcontour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="histogram2dcontour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="histogram2dcontour.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..707895c44f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="histogram2dcontour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..bc66a59e6d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="histogram2dcontour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..1d7e06315f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="histogram2dcontour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..3af79720c4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="histogram2dcontour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..e934c749661
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="histogram2dcontour.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/__init__.py
index 35acc7abb74..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="histogram2dcontour.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="histogram2dcontour.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="histogram2dcontour.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_font.py
new file mode 100644
index 00000000000..89b63f250fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="histogram2dcontour.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_side.py
new file mode 100644
index 00000000000..3844fc1af8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="histogram2dcontour.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_text.py
new file mode 100644
index 00000000000..134649603be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="histogram2dcontour.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/__init__.py
index d5d8648b172..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram2dcontour.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram2dcontour.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram2dcontour.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..e5ec08d5c78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram2dcontour.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..52850895581
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram2dcontour.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..ed0ad501993
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram2dcontour.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/__init__.py
index fab7a775acb..4ffb01aee3d 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/__init__.py
@@ -1,241 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="histogram2dcontour.contours", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="histogram2dcontour.contours", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["levels", "constraint"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="start", parent_name="histogram2dcontour.contours", **kwargs
-    ):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="histogram2dcontour.contours", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showlines",
-        parent_name="histogram2dcontour.contours",
-        **kwargs
-    ):
-        super(ShowlinesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showlabels",
-        parent_name="histogram2dcontour.contours",
-        **kwargs
-    ):
-        super(ShowlabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OperationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="operation",
-        parent_name="histogram2dcontour.contours",
-        **kwargs
-    ):
-        super(OperationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "=",
-                    "<",
-                    ">=",
-                    ">",
-                    "<=",
-                    "[]",
-                    "()",
-                    "[)",
-                    "(]",
-                    "][",
-                    ")(",
-                    "](",
-                    ")[",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="labelformat",
-        parent_name="histogram2dcontour.contours",
-        **kwargs
-    ):
-        super(LabelformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="labelfont",
-        parent_name="histogram2dcontour.contours",
-        **kwargs
-    ):
-        super(LabelfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="end", parent_name="histogram2dcontour.contours", **kwargs
-    ):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoringValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="coloring",
-        parent_name="histogram2dcontour.contours",
-        **kwargs
-    ):
-        super(ColoringValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fill", "heatmap", "lines", "none"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._showlines import ShowlinesValidator
+    from ._showlabels import ShowlabelsValidator
+    from ._operation import OperationValidator
+    from ._labelformat import LabelformatValidator
+    from ._labelfont import LabelfontValidator
+    from ._end import EndValidator
+    from ._coloring import ColoringValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._start.StartValidator",
+            "._size.SizeValidator",
+            "._showlines.ShowlinesValidator",
+            "._showlabels.ShowlabelsValidator",
+            "._operation.OperationValidator",
+            "._labelformat.LabelformatValidator",
+            "._labelfont.LabelfontValidator",
+            "._end.EndValidator",
+            "._coloring.ColoringValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_coloring.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_coloring.py
new file mode 100644
index 00000000000..499571871d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_coloring.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColoringValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="coloring",
+        parent_name="histogram2dcontour.contours",
+        **kwargs
+    ):
+        super(ColoringValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fill", "heatmap", "lines", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_end.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_end.py
new file mode 100644
index 00000000000..da36accdf76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_end.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="end", parent_name="histogram2dcontour.contours", **kwargs
+    ):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_labelfont.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_labelfont.py
new file mode 100644
index 00000000000..413929b51d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_labelfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="labelfont",
+        parent_name="histogram2dcontour.contours",
+        **kwargs
+    ):
+        super(LabelfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_labelformat.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_labelformat.py
new file mode 100644
index 00000000000..36a3ab00160
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_labelformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="labelformat",
+        parent_name="histogram2dcontour.contours",
+        **kwargs
+    ):
+        super(LabelformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_operation.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_operation.py
new file mode 100644
index 00000000000..9526bb84b12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_operation.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class OperationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="operation",
+        parent_name="histogram2dcontour.contours",
+        **kwargs
+    ):
+        super(OperationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "=",
+                    "<",
+                    ">=",
+                    ">",
+                    "<=",
+                    "[]",
+                    "()",
+                    "[)",
+                    "(]",
+                    "][",
+                    ")(",
+                    "](",
+                    ")[",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_showlabels.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_showlabels.py
new file mode 100644
index 00000000000..f64e8cf91ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_showlabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showlabels",
+        parent_name="histogram2dcontour.contours",
+        **kwargs
+    ):
+        super(ShowlabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_showlines.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_showlines.py
new file mode 100644
index 00000000000..c2f3b2f1c1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_showlines.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showlines",
+        parent_name="histogram2dcontour.contours",
+        **kwargs
+    ):
+        super(ShowlinesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_size.py
new file mode 100644
index 00000000000..2e99b220622
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="histogram2dcontour.contours", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_start.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_start.py
new file mode 100644
index 00000000000..23279ffb695
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_start.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="start", parent_name="histogram2dcontour.contours", **kwargs
+    ):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^autocontour": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_type.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_type.py
new file mode 100644
index 00000000000..e214cc0b765
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="histogram2dcontour.contours", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["levels", "constraint"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_value.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_value.py
new file mode 100644
index 00000000000..5a5cf06d7e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="histogram2dcontour.contours", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/__init__.py
index 9d6763e51cf..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram2dcontour.contours.labelfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram2dcontour.contours.labelfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram2dcontour.contours.labelfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_color.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_color.py
new file mode 100644
index 00000000000..6466a1d83e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram2dcontour.contours.labelfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_family.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_family.py
new file mode 100644
index 00000000000..4f5ea801383
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram2dcontour.contours.labelfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_size.py
new file mode 100644
index 00000000000..8c7fddf6869
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/contours/labelfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram2dcontour.contours.labelfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/__init__.py
index 0f136612930..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/__init__.py
@@ -1,203 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="namelength",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="histogram2dcontour.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolorsrc",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="alignsrc",
-        parent_name="histogram2dcontour.hoverlabel",
-        **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="histogram2dcontour.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_align.py
new file mode 100644
index 00000000000..ce0ac070b7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="histogram2dcontour.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..5ed02085846
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_alignsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="alignsrc",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..f823c3677f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bgcolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..33c15f61700
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolorsrc",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..c2a4fc5379d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..a20022843ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_font.py
new file mode 100644
index 00000000000..184d50def9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="histogram2dcontour.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..b15af6e9dfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_namelength.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="namelength",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..03e800f6e59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="histogram2dcontour.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/__init__.py
index a4054c9d271..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/__init__.py
@@ -1,118 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="histogram2dcontour.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="histogram2dcontour.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="histogram2dcontour.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="histogram2dcontour.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="histogram2dcontour.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="histogram2dcontour.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..776bc7cfaaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="histogram2dcontour.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..70d95fb5a13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="histogram2dcontour.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..a4164b23abf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="histogram2dcontour.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..81ac202f280
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="histogram2dcontour.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..4e6594cf474
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_size.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="histogram2dcontour.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..ab7741de618
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="histogram2dcontour.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/line/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/line/__init__.py
index ebe55450762..a7e94c9a18d 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/line/__init__.py
@@ -1,68 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="histogram2dcontour.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style+colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="smoothing", parent_name="histogram2dcontour.line", **kwargs
-    ):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(
-        self, plotly_name="dash", parent_name="histogram2dcontour.line", **kwargs
-    ):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram2dcontour.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style+colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/line/_color.py b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_color.py
new file mode 100644
index 00000000000..a636ab7bf71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram2dcontour.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style+colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/line/_dash.py b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_dash.py
new file mode 100644
index 00000000000..58ac74e7dd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_dash.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(
+        self, plotly_name="dash", parent_name="histogram2dcontour.line", **kwargs
+    ):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/line/_smoothing.py b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_smoothing.py
new file mode 100644
index 00000000000..f1c160f621f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_smoothing.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="smoothing", parent_name="histogram2dcontour.line", **kwargs
+    ):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/line/_width.py b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_width.py
new file mode 100644
index 00000000000..b8d10eb6601
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="histogram2dcontour.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style+colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/marker/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/marker/__init__.py
index 3590df5837b..bdc564f8f76 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/marker/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="histogram2dcontour.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="histogram2dcontour.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._colorsrc.ColorsrcValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/marker/_color.py b/packages/python/plotly/plotly/validators/histogram2dcontour/marker/_color.py
new file mode 100644
index 00000000000..3974bdfc3e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="histogram2dcontour.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/histogram2dcontour/marker/_colorsrc.py
new file mode 100644
index 00000000000..86c523f57d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="histogram2dcontour.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/stream/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/stream/__init__.py
index dbf30165a71..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="histogram2dcontour.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="histogram2dcontour.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/histogram2dcontour/stream/_maxpoints.py
new file mode 100644
index 00000000000..2098c9e6372
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="histogram2dcontour.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/stream/_token.py b/packages/python/plotly/plotly/validators/histogram2dcontour/stream/_token.py
new file mode 100644
index 00000000000..d0bc0372a48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="histogram2dcontour.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/__init__.py
index 232c24dacb2..c00e4e78187 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/__init__.py
@@ -1,46 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="start", parent_name="histogram2dcontour.xbins", **kwargs
-    ):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="histogram2dcontour.xbins", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="end", parent_name="histogram2dcontour.xbins", **kwargs
-    ):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._end import EndValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._start.StartValidator", "._size.SizeValidator", "._end.EndValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_end.py b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_end.py
new file mode 100644
index 00000000000..6e71a9beea2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_end.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="end", parent_name="histogram2dcontour.xbins", **kwargs
+    ):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_size.py
new file mode 100644
index 00000000000..86444c7be3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="histogram2dcontour.xbins", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_start.py b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_start.py
new file mode 100644
index 00000000000..1b5b12ae705
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_start.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="start", parent_name="histogram2dcontour.xbins", **kwargs
+    ):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/__init__.py b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/__init__.py
index c24e96f1fc1..c00e4e78187 100644
--- a/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/__init__.py
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/__init__.py
@@ -1,46 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="start", parent_name="histogram2dcontour.ybins", **kwargs
-    ):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="histogram2dcontour.ybins", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="end", parent_name="histogram2dcontour.ybins", **kwargs
-    ):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._end import EndValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._start.StartValidator", "._size.SizeValidator", "._end.EndValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_end.py b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_end.py
new file mode 100644
index 00000000000..06052f15a2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_end.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="end", parent_name="histogram2dcontour.ybins", **kwargs
+    ):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_size.py b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_size.py
new file mode 100644
index 00000000000..eae3ae9495d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="histogram2dcontour.ybins", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_start.py b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_start.py
new file mode 100644
index 00000000000..7df0e0b1098
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/histogram2dcontour/ybins/_start.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="start", parent_name="histogram2dcontour.ybins", **kwargs
+    ):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/__init__.py b/packages/python/plotly/plotly/validators/image/__init__.py
index 01a352b4059..5a6c896856e 100644
--- a/packages/python/plotly/plotly/validators/image/__init__.py
+++ b/packages/python/plotly/plotly/validators/image/__init__.py
@@ -1,527 +1,76 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="image", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZminValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="zmin", parent_name="image", **kwargs):
-        super(ZminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "calc"},
-                    {"valType": "number", "editType": "calc"},
-                    {"valType": "number", "editType": "calc"},
-                    {"valType": "number", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZmaxValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="zmax", parent_name="image", **kwargs):
-        super(ZmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "calc"},
-                    {"valType": "number", "editType": "calc"},
-                    {"valType": "number", "editType": "calc"},
-                    {"valType": "number", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="image", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="image", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="image", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="image", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="image", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="image", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="image", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="image", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="image", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="image", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="image", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="image", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="image", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="image", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="image", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="image", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="image", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="image", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="image", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="image", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="image", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="image", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="image", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="image", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "color", "name", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="image", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="image", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="image", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="image", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColormodelValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="colormodel", parent_name="image", **kwargs):
-        super(ColormodelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["rgb", "rgba", "hsl", "hsla"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zmin import ZminValidator
+    from ._zmax import ZmaxValidator
+    from ._z import ZValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colormodel import ColormodelValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zmin.ZminValidator",
+            "._zmax.ZmaxValidator",
+            "._z.ZValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colormodel.ColormodelValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/image/_colormodel.py b/packages/python/plotly/plotly/validators/image/_colormodel.py
new file mode 100644
index 00000000000..fba1f1841c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_colormodel.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColormodelValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="colormodel", parent_name="image", **kwargs):
+        super(ColormodelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["rgb", "rgba", "hsl", "hsla"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_customdata.py b/packages/python/plotly/plotly/validators/image/_customdata.py
new file mode 100644
index 00000000000..978120d5ef0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="image", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_customdatasrc.py b/packages/python/plotly/plotly/validators/image/_customdatasrc.py
new file mode 100644
index 00000000000..f4f7648e502
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="image", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_dx.py b/packages/python/plotly/plotly/validators/image/_dx.py
new file mode 100644
index 00000000000..b7f84d8d066
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_dx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="image", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_dy.py b/packages/python/plotly/plotly/validators/image/_dy.py
new file mode 100644
index 00000000000..574f48315fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_dy.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="image", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hoverinfo.py b/packages/python/plotly/plotly/validators/image/_hoverinfo.py
new file mode 100644
index 00000000000..fc0d2266ab0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="image", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "color", "name", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/image/_hoverinfosrc.py
new file mode 100644
index 00000000000..83f5fdd8ddf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="image", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hoverlabel.py b/packages/python/plotly/plotly/validators/image/_hoverlabel.py
new file mode 100644
index 00000000000..06f8518edcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="image", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hovertemplate.py b/packages/python/plotly/plotly/validators/image/_hovertemplate.py
new file mode 100644
index 00000000000..3e3b886b109
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="image", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/image/_hovertemplatesrc.py
new file mode 100644
index 00000000000..f955997dcdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="image", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hovertext.py b/packages/python/plotly/plotly/validators/image/_hovertext.py
new file mode 100644
index 00000000000..8a8974169dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hovertext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="image", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_hovertextsrc.py b/packages/python/plotly/plotly/validators/image/_hovertextsrc.py
new file mode 100644
index 00000000000..93137d7ee02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="image", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_ids.py b/packages/python/plotly/plotly/validators/image/_ids.py
new file mode 100644
index 00000000000..a4c739389b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="image", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_idssrc.py b/packages/python/plotly/plotly/validators/image/_idssrc.py
new file mode 100644
index 00000000000..1730f60767a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="image", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_meta.py b/packages/python/plotly/plotly/validators/image/_meta.py
new file mode 100644
index 00000000000..e1ee95852e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="image", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_metasrc.py b/packages/python/plotly/plotly/validators/image/_metasrc.py
new file mode 100644
index 00000000000..7eb07c480af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="image", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_name.py b/packages/python/plotly/plotly/validators/image/_name.py
new file mode 100644
index 00000000000..3ab0910c37b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="image", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_opacity.py b/packages/python/plotly/plotly/validators/image/_opacity.py
new file mode 100644
index 00000000000..494605e103b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="image", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_stream.py b/packages/python/plotly/plotly/validators/image/_stream.py
new file mode 100644
index 00000000000..f6ecbe6e957
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="image", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_text.py b/packages/python/plotly/plotly/validators/image/_text.py
new file mode 100644
index 00000000000..2e1799e607c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="image", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_textsrc.py b/packages/python/plotly/plotly/validators/image/_textsrc.py
new file mode 100644
index 00000000000..a9111c5004f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="image", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_uid.py b/packages/python/plotly/plotly/validators/image/_uid.py
new file mode 100644
index 00000000000..9e0390c1513
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="image", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_uirevision.py b/packages/python/plotly/plotly/validators/image/_uirevision.py
new file mode 100644
index 00000000000..94d564df812
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="image", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_visible.py b/packages/python/plotly/plotly/validators/image/_visible.py
new file mode 100644
index 00000000000..b6d2b6a0f4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="image", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_x0.py b/packages/python/plotly/plotly/validators/image/_x0.py
new file mode 100644
index 00000000000..f6556689844
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="image", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_xaxis.py b/packages/python/plotly/plotly/validators/image/_xaxis.py
new file mode 100644
index 00000000000..aefb3fb4a36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="image", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_y0.py b/packages/python/plotly/plotly/validators/image/_y0.py
new file mode 100644
index 00000000000..5b347a27dbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="image", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_yaxis.py b/packages/python/plotly/plotly/validators/image/_yaxis.py
new file mode 100644
index 00000000000..54f5cdb66c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="image", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_z.py b/packages/python/plotly/plotly/validators/image/_z.py
new file mode 100644
index 00000000000..7d0531cbaea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="image", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_zmax.py b/packages/python/plotly/plotly/validators/image/_zmax.py
new file mode 100644
index 00000000000..5de0dac0824
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_zmax.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class ZmaxValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="zmax", parent_name="image", **kwargs):
+        super(ZmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "calc"},
+                    {"valType": "number", "editType": "calc"},
+                    {"valType": "number", "editType": "calc"},
+                    {"valType": "number", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_zmin.py b/packages/python/plotly/plotly/validators/image/_zmin.py
new file mode 100644
index 00000000000..3024dc96410
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_zmin.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class ZminValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="zmin", parent_name="image", **kwargs):
+        super(ZminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "calc"},
+                    {"valType": "number", "editType": "calc"},
+                    {"valType": "number", "editType": "calc"},
+                    {"valType": "number", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/_zsrc.py b/packages/python/plotly/plotly/validators/image/_zsrc.py
new file mode 100644
index 00000000000..a042ce6c042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="image", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/image/hoverlabel/__init__.py
index 7eddd830b78..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/image/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/__init__.py
@@ -1,176 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="image.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="image.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="image.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="image.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="image.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="image.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="image.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="image.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="image.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_align.py
new file mode 100644
index 00000000000..a48c2e7fa1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="image.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..50f311bfdb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="image.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..916260c5205
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="image.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..f8ff09a1899
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="image.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..cf865c73bdf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="image.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..aaf33cefc92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="image.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_font.py
new file mode 100644
index 00000000000..17dde4b766c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="image.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..aed34c9eb1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="image.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3d3b2300348
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="image.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/__init__.py
index 8a7d9f42206..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/image/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="image.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="image.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="image.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="image.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="image.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="image.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..958887864d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="image.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..0b3056ddf8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="image.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..63509ab516d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="image.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..3e0b3decc8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="image.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..417f0d3258c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="image.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..f857cc837f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="image.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/stream/__init__.py b/packages/python/plotly/plotly/validators/image/stream/__init__.py
index 4c4f1c1855b..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/image/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/image/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="image.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="image.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/image/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/image/stream/_maxpoints.py
new file mode 100644
index 00000000000..cc6d50b0da0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="image.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/image/stream/_token.py b/packages/python/plotly/plotly/validators/image/stream/_token.py
new file mode 100644
index 00000000000..69f80a27828
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/image/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="image.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/__init__.py b/packages/python/plotly/plotly/validators/indicator/__init__.py
index 77aec79e940..8d63b661f31 100644
--- a/packages/python/plotly/plotly/validators/indicator/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/__init__.py
@@ -1,389 +1,50 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="indicator", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="indicator", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="indicator", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="indicator", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="indicator", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the title. It
-                defaults to `center` except for bullet charts
-                for which it defaults to right.
-            font
-                Set the font used to display the title
-            text
-                Sets the title of this indicator.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="indicator", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NumberValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="number", parent_name="indicator", **kwargs):
-        super(NumberValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Number"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Set the font used to display main number
-            prefix
-                Sets a prefix appearing before the number.
-            suffix
-                Sets a suffix appearing next to the number.
-            valueformat
-                Sets the value formatting rule using d3
-                formatting mini-language which is similar to
-                those of Python. See
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="indicator", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="indicator", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            flags=kwargs.pop("flags", ["number", "delta", "gauge"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="indicator", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="indicator", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="indicator", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="indicator", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GaugeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="gauge", parent_name="indicator", **kwargs):
-        super(GaugeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Gauge"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            axis
-                :class:`plotly.graph_objects.indicator.gauge.Ax
-                is` instance or dict with compatible properties
-            bar
-                Set the appearance of the gauge's value
-            bgcolor
-                Sets the gauge background color.
-            bordercolor
-                Sets the color of the border enclosing the
-                gauge.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the gauge.
-            shape
-                Set the shape of the gauge
-            steps
-                A tuple of :class:`plotly.graph_objects.indicat
-                or.gauge.Step` instances or dicts with
-                compatible properties
-            stepdefaults
-                When used in a template (as layout.template.dat
-                a.indicator.gauge.stepdefaults), sets the
-                default property values to use for elements of
-                indicator.gauge.steps
-            threshold
-                :class:`plotly.graph_objects.indicator.gauge.Th
-                reshold` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="indicator", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this indicator
-                trace .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this indicator trace .
-            x
-                Sets the horizontal domain of this indicator
-                trace (in plot fraction).
-            y
-                Sets the vertical domain of this indicator
-                trace (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DeltaValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="delta", parent_name="indicator", **kwargs):
-        super(DeltaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Delta"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            decreasing
-                :class:`plotly.graph_objects.indicator.delta.De
-                creasing` instance or dict with compatible
-                properties
-            font
-                Set the font used to display the delta
-            increasing
-                :class:`plotly.graph_objects.indicator.delta.In
-                creasing` instance or dict with compatible
-                properties
-            position
-                Sets the position of delta with respect to the
-                number.
-            reference
-                Sets the reference value to compute the delta.
-                By default, it is set to the current value.
-            relative
-                Show relative change
-            valueformat
-                Sets the value formatting rule using d3
-                formatting mini-language which is similar to
-                those of Python. See
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="indicator", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="indicator", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="indicator", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._value import ValueValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._title import TitleValidator
+    from ._stream import StreamValidator
+    from ._number import NumberValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._gauge import GaugeValidator
+    from ._domain import DomainValidator
+    from ._delta import DeltaValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._value.ValueValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._title.TitleValidator",
+            "._stream.StreamValidator",
+            "._number.NumberValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._gauge.GaugeValidator",
+            "._domain.DomainValidator",
+            "._delta.DeltaValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/_align.py b/packages/python/plotly/plotly/validators/indicator/_align.py
new file mode 100644
index 00000000000..0ebc1325588
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_align.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="indicator", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_customdata.py b/packages/python/plotly/plotly/validators/indicator/_customdata.py
new file mode 100644
index 00000000000..1794323e894
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="indicator", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_customdatasrc.py b/packages/python/plotly/plotly/validators/indicator/_customdatasrc.py
new file mode 100644
index 00000000000..2495dea31e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="indicator", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_delta.py b/packages/python/plotly/plotly/validators/indicator/_delta.py
new file mode 100644
index 00000000000..34013ce2e69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_delta.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class DeltaValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="delta", parent_name="indicator", **kwargs):
+        super(DeltaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Delta"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            decreasing
+                :class:`plotly.graph_objects.indicator.delta.De
+                creasing` instance or dict with compatible
+                properties
+            font
+                Set the font used to display the delta
+            increasing
+                :class:`plotly.graph_objects.indicator.delta.In
+                creasing` instance or dict with compatible
+                properties
+            position
+                Sets the position of delta with respect to the
+                number.
+            reference
+                Sets the reference value to compute the delta.
+                By default, it is set to the current value.
+            relative
+                Show relative change
+            valueformat
+                Sets the value formatting rule using d3
+                formatting mini-language which is similar to
+                those of Python. See
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_domain.py b/packages/python/plotly/plotly/validators/indicator/_domain.py
new file mode 100644
index 00000000000..f7eb571fbde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="indicator", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this indicator
+                trace .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this indicator trace .
+            x
+                Sets the horizontal domain of this indicator
+                trace (in plot fraction).
+            y
+                Sets the vertical domain of this indicator
+                trace (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_gauge.py b/packages/python/plotly/plotly/validators/indicator/_gauge.py
new file mode 100644
index 00000000000..ea8857002d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_gauge.py
@@ -0,0 +1,44 @@
+import _plotly_utils.basevalidators
+
+
+class GaugeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="gauge", parent_name="indicator", **kwargs):
+        super(GaugeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Gauge"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            axis
+                :class:`plotly.graph_objects.indicator.gauge.Ax
+                is` instance or dict with compatible properties
+            bar
+                Set the appearance of the gauge's value
+            bgcolor
+                Sets the gauge background color.
+            bordercolor
+                Sets the color of the border enclosing the
+                gauge.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the gauge.
+            shape
+                Set the shape of the gauge
+            steps
+                A tuple of :class:`plotly.graph_objects.indicat
+                or.gauge.Step` instances or dicts with
+                compatible properties
+            stepdefaults
+                When used in a template (as layout.template.dat
+                a.indicator.gauge.stepdefaults), sets the
+                default property values to use for elements of
+                indicator.gauge.steps
+            threshold
+                :class:`plotly.graph_objects.indicator.gauge.Th
+                reshold` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_ids.py b/packages/python/plotly/plotly/validators/indicator/_ids.py
new file mode 100644
index 00000000000..c3d1a0e3486
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_ids.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="indicator", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_idssrc.py b/packages/python/plotly/plotly/validators/indicator/_idssrc.py
new file mode 100644
index 00000000000..4580461499b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="indicator", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_meta.py b/packages/python/plotly/plotly/validators/indicator/_meta.py
new file mode 100644
index 00000000000..3ef9e5db3c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="indicator", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_metasrc.py b/packages/python/plotly/plotly/validators/indicator/_metasrc.py
new file mode 100644
index 00000000000..4728ffb4302
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="indicator", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_mode.py b/packages/python/plotly/plotly/validators/indicator/_mode.py
new file mode 100644
index 00000000000..3e52cbf3bf0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_mode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="indicator", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            flags=kwargs.pop("flags", ["number", "delta", "gauge"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_name.py b/packages/python/plotly/plotly/validators/indicator/_name.py
new file mode 100644
index 00000000000..9690864b761
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="indicator", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_number.py b/packages/python/plotly/plotly/validators/indicator/_number.py
new file mode 100644
index 00000000000..a588dcb2622
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_number.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class NumberValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="number", parent_name="indicator", **kwargs):
+        super(NumberValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Number"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Set the font used to display main number
+            prefix
+                Sets a prefix appearing before the number.
+            suffix
+                Sets a suffix appearing next to the number.
+            valueformat
+                Sets the value formatting rule using d3
+                formatting mini-language which is similar to
+                those of Python. See
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_stream.py b/packages/python/plotly/plotly/validators/indicator/_stream.py
new file mode 100644
index 00000000000..d781befb9db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="indicator", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_title.py b/packages/python/plotly/plotly/validators/indicator/_title.py
new file mode 100644
index 00000000000..b6850b7a6dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_title.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="indicator", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the title. It
+                defaults to `center` except for bullet charts
+                for which it defaults to right.
+            font
+                Set the font used to display the title
+            text
+                Sets the title of this indicator.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_uid.py b/packages/python/plotly/plotly/validators/indicator/_uid.py
new file mode 100644
index 00000000000..5dccb040f61
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_uid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="indicator", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_uirevision.py b/packages/python/plotly/plotly/validators/indicator/_uirevision.py
new file mode 100644
index 00000000000..9a7ea7b2382
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="indicator", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_value.py b/packages/python/plotly/plotly/validators/indicator/_value.py
new file mode 100644
index 00000000000..58586d92ee7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="indicator", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/_visible.py b/packages/python/plotly/plotly/validators/indicator/_visible.py
new file mode 100644
index 00000000000..f7c00412ace
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="indicator", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/__init__.py b/packages/python/plotly/plotly/validators/indicator/delta/__init__.py
index e1009261c8c..a0d20199815 100644
--- a/packages/python/plotly/plotly/validators/indicator/delta/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/delta/__init__.py
@@ -1,146 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class ValueformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="valueformat", parent_name="indicator.delta", **kwargs
-    ):
-        super(ValueformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RelativeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="relative", parent_name="indicator.delta", **kwargs):
-        super(RelativeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReferenceValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="reference", parent_name="indicator.delta", **kwargs
-    ):
-        super(ReferenceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="position", parent_name="indicator.delta", **kwargs):
-        super(PositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top", "bottom", "left", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="increasing", parent_name="indicator.delta", **kwargs
-    ):
-        super(IncreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Increasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color for increasing value.
-            symbol
-                Sets the symbol to display for increasing value
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="indicator.delta", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="decreasing", parent_name="indicator.delta", **kwargs
-    ):
-        super(DecreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color for increasing value.
-            symbol
-                Sets the symbol to display for increasing value
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._valueformat import ValueformatValidator
+    from ._relative import RelativeValidator
+    from ._reference import ReferenceValidator
+    from ._position import PositionValidator
+    from ._increasing import IncreasingValidator
+    from ._font import FontValidator
+    from ._decreasing import DecreasingValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._valueformat.ValueformatValidator",
+            "._relative.RelativeValidator",
+            "._reference.ReferenceValidator",
+            "._position.PositionValidator",
+            "._increasing.IncreasingValidator",
+            "._font.FontValidator",
+            "._decreasing.DecreasingValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_decreasing.py b/packages/python/plotly/plotly/validators/indicator/delta/_decreasing.py
new file mode 100644
index 00000000000..1becceac47d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_decreasing.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="decreasing", parent_name="indicator.delta", **kwargs
+    ):
+        super(DecreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color for increasing value.
+            symbol
+                Sets the symbol to display for increasing value
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_font.py b/packages/python/plotly/plotly/validators/indicator/delta/_font.py
new file mode 100644
index 00000000000..374c26f30e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="indicator.delta", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_increasing.py b/packages/python/plotly/plotly/validators/indicator/delta/_increasing.py
new file mode 100644
index 00000000000..af3d2520cc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_increasing.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="increasing", parent_name="indicator.delta", **kwargs
+    ):
+        super(IncreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Increasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color for increasing value.
+            symbol
+                Sets the symbol to display for increasing value
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_position.py b/packages/python/plotly/plotly/validators/indicator/delta/_position.py
new file mode 100644
index 00000000000..853a902df7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_position.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="position", parent_name="indicator.delta", **kwargs):
+        super(PositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top", "bottom", "left", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_reference.py b/packages/python/plotly/plotly/validators/indicator/delta/_reference.py
new file mode 100644
index 00000000000..ac7cc6ad39c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_reference.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReferenceValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="reference", parent_name="indicator.delta", **kwargs
+    ):
+        super(ReferenceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_relative.py b/packages/python/plotly/plotly/validators/indicator/delta/_relative.py
new file mode 100644
index 00000000000..e342a7720a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_relative.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RelativeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="relative", parent_name="indicator.delta", **kwargs):
+        super(RelativeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/_valueformat.py b/packages/python/plotly/plotly/validators/indicator/delta/_valueformat.py
new file mode 100644
index 00000000000..ef098a51541
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/_valueformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="valueformat", parent_name="indicator.delta", **kwargs
+    ):
+        super(ValueformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/decreasing/__init__.py b/packages/python/plotly/plotly/validators/indicator/delta/decreasing/__init__.py
index 116a1fd4eea..4f553fa708c 100644
--- a/packages/python/plotly/plotly/validators/indicator/delta/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/delta/decreasing/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._symbol import SymbolValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class SymbolValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="indicator.delta.decreasing", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.delta.decreasing", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._symbol.SymbolValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/decreasing/_color.py b/packages/python/plotly/plotly/validators/indicator/delta/decreasing/_color.py
new file mode 100644
index 00000000000..367e98beb66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/decreasing/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.delta.decreasing", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/decreasing/_symbol.py b/packages/python/plotly/plotly/validators/indicator/delta/decreasing/_symbol.py
new file mode 100644
index 00000000000..111170ca068
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/decreasing/_symbol.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="indicator.delta.decreasing", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/font/__init__.py b/packages/python/plotly/plotly/validators/indicator/delta/font/__init__.py
index c28c19d8ac1..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/indicator/delta/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/delta/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="indicator.delta.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="indicator.delta.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.delta.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/font/_color.py b/packages/python/plotly/plotly/validators/indicator/delta/font/_color.py
new file mode 100644
index 00000000000..9a76e7bed10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.delta.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/font/_family.py b/packages/python/plotly/plotly/validators/indicator/delta/font/_family.py
new file mode 100644
index 00000000000..c4529d912eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="indicator.delta.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/font/_size.py b/packages/python/plotly/plotly/validators/indicator/delta/font/_size.py
new file mode 100644
index 00000000000..9d9acc8f14b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="indicator.delta.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/increasing/__init__.py b/packages/python/plotly/plotly/validators/indicator/delta/increasing/__init__.py
index ca785fc6cc0..4f553fa708c 100644
--- a/packages/python/plotly/plotly/validators/indicator/delta/increasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/delta/increasing/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._symbol import SymbolValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class SymbolValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="indicator.delta.increasing", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.delta.increasing", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._symbol.SymbolValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/increasing/_color.py b/packages/python/plotly/plotly/validators/indicator/delta/increasing/_color.py
new file mode 100644
index 00000000000..f17dcba5b73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/increasing/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.delta.increasing", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/delta/increasing/_symbol.py b/packages/python/plotly/plotly/validators/indicator/delta/increasing/_symbol.py
new file mode 100644
index 00000000000..57a72229435
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/delta/increasing/_symbol.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="indicator.delta.increasing", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/domain/__init__.py b/packages/python/plotly/plotly/validators/indicator/domain/__init__.py
index 735553bcf3d..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/indicator/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="indicator.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="indicator.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="indicator.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="indicator.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/domain/_column.py b/packages/python/plotly/plotly/validators/indicator/domain/_column.py
new file mode 100644
index 00000000000..9465c167a39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="indicator.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/domain/_row.py b/packages/python/plotly/plotly/validators/indicator/domain/_row.py
new file mode 100644
index 00000000000..239aa741022
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="indicator.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/domain/_x.py b/packages/python/plotly/plotly/validators/indicator/domain/_x.py
new file mode 100644
index 00000000000..a0e4bbfd0f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="indicator.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/domain/_y.py b/packages/python/plotly/plotly/validators/indicator/domain/_y.py
new file mode 100644
index 00000000000..b321c0808e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="indicator.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/__init__.py
index bcddf70f296..89820bb15f8 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/__init__.py
@@ -1,354 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class ThresholdValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="threshold", parent_name="indicator.gauge", **kwargs
-    ):
-        super(ThresholdValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Threshold"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            line
-                :class:`plotly.graph_objects.indicator.gauge.th
-                reshold.Line` instance or dict with compatible
-                properties
-            thickness
-                Sets the thickness of the threshold line as a
-                fraction of the thickness of the gauge.
-            value
-                Sets a treshold value drawn as a line.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StepValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="stepdefaults", parent_name="indicator.gauge", **kwargs
-    ):
-        super(StepValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Step"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StepsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="steps", parent_name="indicator.gauge", **kwargs):
-        super(StepsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Step"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the background color of the arc.
-            line
-                :class:`plotly.graph_objects.indicator.gauge.st
-                ep.Line` instance or dict with compatible
-                properties
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            range
-                Sets the range of this axis.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            thickness
-                Sets the thickness of the bar as a fraction of
-                the total thickness of the gauge.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="shape", parent_name="indicator.gauge", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["angular", "bullet"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="indicator.gauge", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="indicator.gauge", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="indicator.gauge", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="bar", parent_name="indicator.gauge", **kwargs):
-        super(BarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Bar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the background color of the arc.
-            line
-                :class:`plotly.graph_objects.indicator.gauge.ba
-                r.Line` instance or dict with compatible
-                properties
-            thickness
-                Sets the thickness of the bar as a fraction of
-                the total thickness of the gauge.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="axis", parent_name="indicator.gauge", **kwargs):
-        super(AxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Axis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.indicat
-                or.gauge.axis.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.indicator.gauge.axis.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of
-                indicator.gauge.axis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._threshold import ThresholdValidator
+    from ._stepdefaults import StepdefaultsValidator
+    from ._steps import StepsValidator
+    from ._shape import ShapeValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._bar import BarValidator
+    from ._axis import AxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._threshold.ThresholdValidator",
+            "._stepdefaults.StepdefaultsValidator",
+            "._steps.StepsValidator",
+            "._shape.ShapeValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._bar.BarValidator",
+            "._axis.AxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_axis.py b/packages/python/plotly/plotly/validators/indicator/gauge/_axis.py
new file mode 100644
index 00000000000..bf04ca84535
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_axis.py
@@ -0,0 +1,166 @@
+import _plotly_utils.basevalidators
+
+
+class AxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="axis", parent_name="indicator.gauge", **kwargs):
+        super(AxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Axis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.indicat
+                or.gauge.axis.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.indicator.gauge.axis.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of
+                indicator.gauge.axis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_bar.py b/packages/python/plotly/plotly/validators/indicator/gauge/_bar.py
new file mode 100644
index 00000000000..79a281602fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_bar.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class BarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="bar", parent_name="indicator.gauge", **kwargs):
+        super(BarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Bar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the background color of the arc.
+            line
+                :class:`plotly.graph_objects.indicator.gauge.ba
+                r.Line` instance or dict with compatible
+                properties
+            thickness
+                Sets the thickness of the bar as a fraction of
+                the total thickness of the gauge.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_bgcolor.py b/packages/python/plotly/plotly/validators/indicator/gauge/_bgcolor.py
new file mode 100644
index 00000000000..c5b6b3a9649
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="indicator.gauge", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_bordercolor.py b/packages/python/plotly/plotly/validators/indicator/gauge/_bordercolor.py
new file mode 100644
index 00000000000..aced4811798
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="indicator.gauge", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_borderwidth.py b/packages/python/plotly/plotly/validators/indicator/gauge/_borderwidth.py
new file mode 100644
index 00000000000..9f7bfe94207
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="indicator.gauge", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_shape.py b/packages/python/plotly/plotly/validators/indicator/gauge/_shape.py
new file mode 100644
index 00000000000..1553bb4da4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_shape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="shape", parent_name="indicator.gauge", **kwargs):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["angular", "bullet"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_stepdefaults.py b/packages/python/plotly/plotly/validators/indicator/gauge/_stepdefaults.py
new file mode 100644
index 00000000000..48e93944d3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_stepdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class StepdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="stepdefaults", parent_name="indicator.gauge", **kwargs
+    ):
+        super(StepdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Step"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_steps.py b/packages/python/plotly/plotly/validators/indicator/gauge/_steps.py
new file mode 100644
index 00000000000..4ff6fe60b6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_steps.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class StepsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="steps", parent_name="indicator.gauge", **kwargs):
+        super(StepsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Step"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the background color of the arc.
+            line
+                :class:`plotly.graph_objects.indicator.gauge.st
+                ep.Line` instance or dict with compatible
+                properties
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            range
+                Sets the range of this axis.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            thickness
+                Sets the thickness of the bar as a fraction of
+                the total thickness of the gauge.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/_threshold.py b/packages/python/plotly/plotly/validators/indicator/gauge/_threshold.py
new file mode 100644
index 00000000000..bd761c3618d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/_threshold.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class ThresholdValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="threshold", parent_name="indicator.gauge", **kwargs
+    ):
+        super(ThresholdValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Threshold"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            line
+                :class:`plotly.graph_objects.indicator.gauge.th
+                reshold.Line` instance or dict with compatible
+                properties
+            thickness
+                Sets the thickness of the threshold line as a
+                fraction of the thickness of the gauge.
+            value
+                Sets a treshold value drawn as a line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/__init__.py
index 56911a1359d..7c4ef6ae0e4 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/axis/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/__init__.py
@@ -1,524 +1,66 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="indicator.gauge.axis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="indicator.gauge.axis",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="indicator.gauge.axis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="range", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="indicator.gauge.axis", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_dtick.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_dtick.py
new file mode 100644
index 00000000000..219d2c5041c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_exponentformat.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_exponentformat.py
new file mode 100644
index 00000000000..f26ca14c264
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_nticks.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_nticks.py
new file mode 100644
index 00000000000..45eeb13b4ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_range.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_range.py
new file mode 100644
index 00000000000..7bf90ae50a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_range.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="range", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_separatethousands.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_separatethousands.py
new file mode 100644
index 00000000000..ccf6e166dc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="indicator.gauge.axis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showexponent.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showexponent.py
new file mode 100644
index 00000000000..7f57d81408f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showticklabels.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showticklabels.py
new file mode 100644
index 00000000000..4a275b90c16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showtickprefix.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showtickprefix.py
new file mode 100644
index 00000000000..2d45217ccbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showticksuffix.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showticksuffix.py
new file mode 100644
index 00000000000..cb210fa1772
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tick0.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tick0.py
new file mode 100644
index 00000000000..cf513896dec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickangle.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickangle.py
new file mode 100644
index 00000000000..16be5abb507
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickcolor.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickcolor.py
new file mode 100644
index 00000000000..3472a825dee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickfont.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickfont.py
new file mode 100644
index 00000000000..14717cf6e22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformat.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformat.py
new file mode 100644
index 00000000000..ae45960beb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..5ad43b0e702
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="indicator.gauge.axis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformatstops.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformatstops.py
new file mode 100644
index 00000000000..24e84e20396
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="indicator.gauge.axis",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticklen.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticklen.py
new file mode 100644
index 00000000000..deeb3a91d16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickmode.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickmode.py
new file mode 100644
index 00000000000..b92acf56972
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickprefix.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickprefix.py
new file mode 100644
index 00000000000..dbd3e2bce84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticks.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticks.py
new file mode 100644
index 00000000000..78f2aa4530e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticksuffix.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticksuffix.py
new file mode 100644
index 00000000000..840a724ec36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticktext.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticktext.py
new file mode 100644
index 00000000000..e7049563956
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticktextsrc.py
new file mode 100644
index 00000000000..f690812d0b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickvals.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickvals.py
new file mode 100644
index 00000000000..67c736082cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickvalssrc.py
new file mode 100644
index 00000000000..b1b5db114d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickwidth.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickwidth.py
new file mode 100644
index 00000000000..b4ba9d20dd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/_visible.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_visible.py
new file mode 100644
index 00000000000..f38e7329937
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="indicator.gauge.axis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/__init__.py
index fc05da3ad51..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="indicator.gauge.axis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="indicator.gauge.axis.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.gauge.axis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_color.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_color.py
new file mode 100644
index 00000000000..70c12b8ad05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.gauge.axis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_family.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_family.py
new file mode 100644
index 00000000000..6479c6e79b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="indicator.gauge.axis.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_size.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_size.py
new file mode 100644
index 00000000000..40dd5792bff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="indicator.gauge.axis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/__init__.py
index e94b5c8edbc..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="indicator.gauge.axis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="indicator.gauge.axis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="indicator.gauge.axis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="indicator.gauge.axis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="indicator.gauge.axis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..c4dfe4bc8ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="indicator.gauge.axis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..989ff11146e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="indicator.gauge.axis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_name.py
new file mode 100644
index 00000000000..b0f01cb7ad3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="indicator.gauge.axis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..b9853cd065d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="indicator.gauge.axis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_value.py
new file mode 100644
index 00000000000..bcbea7a573a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="indicator.gauge.axis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/__init__.py
index 61061d3fc4b..64bf3e3c35b 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/bar/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/__init__.py
@@ -1,56 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="indicator.gauge.bar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="indicator.gauge.bar", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the line enclosing each
-                sector.
-            width
-                Sets the width (in px) of the line enclosing
-                each sector.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.gauge.bar", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._thickness import ThicknessValidator
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._thickness.ThicknessValidator",
+            "._line.LineValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/_color.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/_color.py
new file mode 100644
index 00000000000..e3c75539cae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.gauge.bar", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/_line.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/_line.py
new file mode 100644
index 00000000000..d061cfb9ecc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/_line.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="indicator.gauge.bar", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the line enclosing each
+                sector.
+            width
+                Sets the width (in px) of the line enclosing
+                each sector.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/_thickness.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/_thickness.py
new file mode 100644
index 00000000000..79ea9cdbc70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/_thickness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="indicator.gauge.bar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/__init__.py
index 6f9209b3820..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/__init__.py
@@ -1,31 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="indicator.gauge.bar.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.gauge.bar.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/_color.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/_color.py
new file mode 100644
index 00000000000..d8c115c15e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.gauge.bar.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/_width.py b/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/_width.py
new file mode 100644
index 00000000000..54e9365dbbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/bar/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="indicator.gauge.bar.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/__init__.py
index 85cb7b1f731..91d9f88dd50 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/step/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/__init__.py
@@ -1,116 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="indicator.gauge.step", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="indicator.gauge.step",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="range", parent_name="indicator.gauge.step", **kwargs
-    ):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="indicator.gauge.step", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="indicator.gauge.step", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the line enclosing each
-                sector.
-            width
-                Sets the width (in px) of the line enclosing
-                each sector.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.gauge.step", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._thickness import ThicknessValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._range import RangeValidator
+    from ._name import NameValidator
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._thickness.ThicknessValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._range.RangeValidator",
+            "._name.NameValidator",
+            "._line.LineValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/_color.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/_color.py
new file mode 100644
index 00000000000..21c08968b90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.gauge.step", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/_line.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/_line.py
new file mode 100644
index 00000000000..e29de2f3bd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/_line.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="indicator.gauge.step", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the line enclosing each
+                sector.
+            width
+                Sets the width (in px) of the line enclosing
+                each sector.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/_name.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/_name.py
new file mode 100644
index 00000000000..0264f8bf1b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="indicator.gauge.step", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/_range.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/_range.py
new file mode 100644
index 00000000000..40ba541e6fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/_range.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="range", parent_name="indicator.gauge.step", **kwargs
+    ):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/_templateitemname.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/_templateitemname.py
new file mode 100644
index 00000000000..7e68222a996
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="indicator.gauge.step",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/_thickness.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/_thickness.py
new file mode 100644
index 00000000000..a360edfeed6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/_thickness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="indicator.gauge.step", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/line/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/line/__init__.py
index 2c981da6acd..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/step/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/line/__init__.py
@@ -1,31 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="indicator.gauge.step.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.gauge.step.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/line/_color.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/line/_color.py
new file mode 100644
index 00000000000..2c021fc48b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.gauge.step.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/step/line/_width.py b/packages/python/plotly/plotly/validators/indicator/gauge/step/line/_width.py
new file mode 100644
index 00000000000..5e71fc42238
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/step/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="indicator.gauge.step.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/__init__.py
index 1d2bc32b17d..1340bcf0d3c 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/__init__.py
@@ -1,56 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="indicator.gauge.threshold", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="indicator.gauge.threshold", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="indicator.gauge.threshold", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the threshold line.
-            width
-                Sets the width (in px) of the threshold line.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._thickness import ThicknessValidator
+    from ._line import LineValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._thickness.ThicknessValidator",
+            "._line.LineValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_line.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_line.py
new file mode 100644
index 00000000000..bd8fb2a36f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_line.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="indicator.gauge.threshold", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the threshold line.
+            width
+                Sets the width (in px) of the threshold line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_thickness.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_thickness.py
new file mode 100644
index 00000000000..71f4af6e018
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_thickness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="indicator.gauge.threshold", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_value.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_value.py
new file mode 100644
index 00000000000..4d479188008
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="indicator.gauge.threshold", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/__init__.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/__init__.py
index a8000d61748..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/__init__.py
@@ -1,37 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="width",
-        parent_name="indicator.gauge.threshold.line",
-        **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="indicator.gauge.threshold.line",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/_color.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/_color.py
new file mode 100644
index 00000000000..e10b0815eac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="indicator.gauge.threshold.line",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/_width.py b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/_width.py
new file mode 100644
index 00000000000..433e63258f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/gauge/threshold/line/_width.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="width",
+        parent_name="indicator.gauge.threshold.line",
+        **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/__init__.py b/packages/python/plotly/plotly/validators/indicator/number/__init__.py
index d84176b796f..4b1ce498797 100644
--- a/packages/python/plotly/plotly/validators/indicator/number/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/number/__init__.py
@@ -1,81 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ValueformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="valueformat", parent_name="indicator.number", **kwargs
-    ):
-        super(ValueformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="suffix", parent_name="indicator.number", **kwargs):
-        super(SuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="prefix", parent_name="indicator.number", **kwargs):
-        super(PrefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="indicator.number", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._valueformat import ValueformatValidator
+    from ._suffix import SuffixValidator
+    from ._prefix import PrefixValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._valueformat.ValueformatValidator",
+            "._suffix.SuffixValidator",
+            "._prefix.PrefixValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/_font.py b/packages/python/plotly/plotly/validators/indicator/number/_font.py
new file mode 100644
index 00000000000..fbf497909f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="indicator.number", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/_prefix.py b/packages/python/plotly/plotly/validators/indicator/number/_prefix.py
new file mode 100644
index 00000000000..eb20315a4b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/_prefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="prefix", parent_name="indicator.number", **kwargs):
+        super(PrefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/_suffix.py b/packages/python/plotly/plotly/validators/indicator/number/_suffix.py
new file mode 100644
index 00000000000..d574b45289b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/_suffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="suffix", parent_name="indicator.number", **kwargs):
+        super(SuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/_valueformat.py b/packages/python/plotly/plotly/validators/indicator/number/_valueformat.py
new file mode 100644
index 00000000000..e27df5cf225
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/_valueformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="valueformat", parent_name="indicator.number", **kwargs
+    ):
+        super(ValueformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/font/__init__.py b/packages/python/plotly/plotly/validators/indicator/number/font/__init__.py
index 4abb321dfdd..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/indicator/number/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/number/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="indicator.number.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="indicator.number.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.number.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/font/_color.py b/packages/python/plotly/plotly/validators/indicator/number/font/_color.py
new file mode 100644
index 00000000000..d1c7ded065f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.number.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/font/_family.py b/packages/python/plotly/plotly/validators/indicator/number/font/_family.py
new file mode 100644
index 00000000000..7e09656c5fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="indicator.number.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/number/font/_size.py b/packages/python/plotly/plotly/validators/indicator/number/font/_size.py
new file mode 100644
index 00000000000..1e4f6ce69a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/number/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="indicator.number.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/stream/__init__.py b/packages/python/plotly/plotly/validators/indicator/stream/__init__.py
index dfba0cab9e3..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/indicator/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="indicator.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="indicator.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/indicator/stream/_maxpoints.py
new file mode 100644
index 00000000000..e30e0ca8706
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="indicator.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/stream/_token.py b/packages/python/plotly/plotly/validators/indicator/stream/_token.py
new file mode 100644
index 00000000000..29222daf187
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="indicator.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/__init__.py b/packages/python/plotly/plotly/validators/indicator/title/__init__.py
index 461f9132352..9b0e84b4bcb 100644
--- a/packages/python/plotly/plotly/validators/indicator/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/title/__init__.py
@@ -1,66 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="indicator.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="indicator.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="indicator.title", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._font.FontValidator", "._align.AlignValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/_align.py b/packages/python/plotly/plotly/validators/indicator/title/_align.py
new file mode 100644
index 00000000000..d2db0394db9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/title/_align.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="indicator.title", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/_font.py b/packages/python/plotly/plotly/validators/indicator/title/_font.py
new file mode 100644
index 00000000000..2331f5e0188
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="indicator.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/_text.py b/packages/python/plotly/plotly/validators/indicator/title/_text.py
new file mode 100644
index 00000000000..c0e0362285e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="indicator.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/font/__init__.py b/packages/python/plotly/plotly/validators/indicator/title/font/__init__.py
index 13768dd21c1..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/indicator/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/indicator/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="indicator.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="indicator.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="indicator.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/font/_color.py b/packages/python/plotly/plotly/validators/indicator/title/font/_color.py
new file mode 100644
index 00000000000..34c91b02602
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="indicator.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/font/_family.py b/packages/python/plotly/plotly/validators/indicator/title/font/_family.py
new file mode 100644
index 00000000000..a10e6806bf9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="indicator.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/indicator/title/font/_size.py b/packages/python/plotly/plotly/validators/indicator/title/font/_size.py
new file mode 100644
index 00000000000..8b9d97f0c33
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/indicator/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="indicator.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/__init__.py b/packages/python/plotly/plotly/validators/isosurface/__init__.py
index 48a0929ad04..eb78be56ba0 100644
--- a/packages/python/plotly/plotly/validators/isosurface/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/__init__.py
@@ -1,1141 +1,116 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="isosurface", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="isosurface", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="isosurface", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="isosurface", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="isosurface", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="isosurface", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="isosurface", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuesrc", parent_name="isosurface", **kwargs):
-        super(ValuesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="value", parent_name="isosurface", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="isosurface", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="isosurface", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="isosurface", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="isosurface", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="surface", parent_name="isosurface", **kwargs):
-        super(SurfaceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Surface"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            count
-                Sets the number of iso-surfaces between minimum
-                and maximum iso-values. By default this value
-                is 2 meaning that only minimum and maximum
-                surfaces would be drawn.
-            fill
-                Sets the fill ratio of the iso-surface. The
-                default fill value of the surface is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            pattern
-                Sets the surface pattern of the iso-surface 3-D
-                sections. The default pattern of the surface is
-                `all` meaning that the rest of surface elements
-                would be shaded. The check options (either 1 or
-                2) could be used to draw half of the squares on
-                the surface. Using various combinations of
-                capital `A`, `B`, `C`, `D` and `E` may also be
-                used to reduce the number of triangles on the
-                iso-surfaces and creating other patterns of
-                interest.
-            show
-                Hides/displays surfaces between minimum and
-                maximum iso-values.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="isosurface", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpaceframeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="spaceframe", parent_name="isosurface", **kwargs):
-        super(SpaceframeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Spaceframe"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `spaceframe`
-                elements. The default fill value is 0.15
-                meaning that only 15% of the area of every
-                faces of tetras would be shaded. Applying a
-                greater `fill` ratio would allow the creation
-                of stronger elements or could be sued to have
-                entirely closed areas (in case of using 1).
-            show
-                Displays/hides tetrahedron shapes between
-                minimum and maximum iso-values. Often useful
-                when either caps or surfaces are disabled or
-                filled with values less than 1.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SlicesValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="slices", parent_name="isosurface", **kwargs):
-        super(SlicesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Slices"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                :class:`plotly.graph_objects.isosurface.slices.
-                X` instance or dict with compatible properties
-            y
-                :class:`plotly.graph_objects.isosurface.slices.
-                Y` instance or dict with compatible properties
-            z
-                :class:`plotly.graph_objects.isosurface.slices.
-                Z` instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="isosurface", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="isosurface", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="isosurface", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="isosurface", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="isosurface", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="isosurface", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="isosurface", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="isosurface", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lightposition", parent_name="isosurface", **kwargs):
-        super(LightpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Numeric vector, representing the X coordinate
-                for each vertex.
-            y
-                Numeric vector, representing the Y coordinate
-                for each vertex.
-            z
-                Numeric vector, representing the Z coordinate
-                for each vertex.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lighting", parent_name="isosurface", **kwargs):
-        super(LightingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lighting"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            ambient
-                Ambient light increases overall color
-                visibility but can wash out the image.
-            diffuse
-                Represents the extent that incident rays are
-                reflected in a range of angles.
-            facenormalsepsilon
-                Epsilon for face normals calculation avoids
-                math issues arising from degenerate geometry.
-            fresnel
-                Represents the reflectance as a dependency of
-                the viewing angle; e.g. paper is reflective
-                when viewing it from the edge of the paper
-                (almost 90 degrees), causing shine.
-            roughness
-                Alters specular reflection; the rougher the
-                surface, the wider and less contrasty the
-                shine.
-            specular
-                Represents the level that incident rays are
-                reflected in a single direction, causing shine.
-            vertexnormalsepsilon
-                Epsilon for vertex normals calculation avoids
-                math issues arising from degenerate geometry.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="isosurface", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsominValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="isomin", parent_name="isosurface", **kwargs):
-        super(IsominValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsomaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="isomax", parent_name="isosurface", **kwargs):
-        super(IsomaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="isosurface", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="isosurface", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="isosurface", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="isosurface", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="isosurface", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="isosurface", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="isosurface", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="isosurface", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="isosurface", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="flatshading", parent_name="isosurface", **kwargs):
-        super(FlatshadingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="isosurface", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="isosurface", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contour", parent_name="isosurface", **kwargs):
-        super(ContourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour lines.
-            show
-                Sets whether or not dynamic contours are shown
-                on hover
-            width
-                Sets the width of the contour lines.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="isosurface", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="isosurface", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.isosurf
-                ace.colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.isosurface.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of isosurface.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.isosurface.colorba
-                r.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                isosurface.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                isosurface.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="isosurface", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="isosurface", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="isosurface", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="isosurface", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="isosurface", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CapsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="caps", parent_name="isosurface", **kwargs):
-        super(CapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Caps"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                :class:`plotly.graph_objects.isosurface.caps.X`
-                instance or dict with compatible properties
-            y
-                :class:`plotly.graph_objects.isosurface.caps.Y`
-                instance or dict with compatible properties
-            z
-                :class:`plotly.graph_objects.isosurface.caps.Z`
-                instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="isosurface", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._valuesrc import ValuesrcValidator
+    from ._value import ValueValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._surface import SurfaceValidator
+    from ._stream import StreamValidator
+    from ._spaceframe import SpaceframeValidator
+    from ._slices import SlicesValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lightposition import LightpositionValidator
+    from ._lighting import LightingValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._isomin import IsominValidator
+    from ._isomax import IsomaxValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._flatshading import FlatshadingValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contour import ContourValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._caps import CapsValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._valuesrc.ValuesrcValidator",
+            "._value.ValueValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._surface.SurfaceValidator",
+            "._stream.StreamValidator",
+            "._spaceframe.SpaceframeValidator",
+            "._slices.SlicesValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lightposition.LightpositionValidator",
+            "._lighting.LightingValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._isomin.IsominValidator",
+            "._isomax.IsomaxValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._flatshading.FlatshadingValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contour.ContourValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._caps.CapsValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_autocolorscale.py b/packages/python/plotly/plotly/validators/isosurface/_autocolorscale.py
new file mode 100644
index 00000000000..62aea567a56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="isosurface", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_caps.py b/packages/python/plotly/plotly/validators/isosurface/_caps.py
new file mode 100644
index 00000000000..f8fbf365064
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_caps.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class CapsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="caps", parent_name="isosurface", **kwargs):
+        super(CapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Caps"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                :class:`plotly.graph_objects.isosurface.caps.X`
+                instance or dict with compatible properties
+            y
+                :class:`plotly.graph_objects.isosurface.caps.Y`
+                instance or dict with compatible properties
+            z
+                :class:`plotly.graph_objects.isosurface.caps.Z`
+                instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_cauto.py b/packages/python/plotly/plotly/validators/isosurface/_cauto.py
new file mode 100644
index 00000000000..33e851bd19c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="isosurface", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_cmax.py b/packages/python/plotly/plotly/validators/isosurface/_cmax.py
new file mode 100644
index 00000000000..2a092c714c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="isosurface", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_cmid.py b/packages/python/plotly/plotly/validators/isosurface/_cmid.py
new file mode 100644
index 00000000000..5902a12e810
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="isosurface", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_cmin.py b/packages/python/plotly/plotly/validators/isosurface/_cmin.py
new file mode 100644
index 00000000000..6f6f21d8a45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="isosurface", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_coloraxis.py b/packages/python/plotly/plotly/validators/isosurface/_coloraxis.py
new file mode 100644
index 00000000000..ca348e8dcc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="isosurface", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_colorbar.py b/packages/python/plotly/plotly/validators/isosurface/_colorbar.py
new file mode 100644
index 00000000000..dde3b884ff7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="isosurface", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.isosurf
+                ace.colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.isosurface.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of isosurface.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.isosurface.colorba
+                r.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                isosurface.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                isosurface.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_colorscale.py b/packages/python/plotly/plotly/validators/isosurface/_colorscale.py
new file mode 100644
index 00000000000..dc5c632a943
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="isosurface", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_contour.py b/packages/python/plotly/plotly/validators/isosurface/_contour.py
new file mode 100644
index 00000000000..8f6fddf1daf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_contour.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contour", parent_name="isosurface", **kwargs):
+        super(ContourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour lines.
+            show
+                Sets whether or not dynamic contours are shown
+                on hover
+            width
+                Sets the width of the contour lines.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_customdata.py b/packages/python/plotly/plotly/validators/isosurface/_customdata.py
new file mode 100644
index 00000000000..9a3d51b08dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="isosurface", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_customdatasrc.py b/packages/python/plotly/plotly/validators/isosurface/_customdatasrc.py
new file mode 100644
index 00000000000..67b69e23d8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="isosurface", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_flatshading.py b/packages/python/plotly/plotly/validators/isosurface/_flatshading.py
new file mode 100644
index 00000000000..224d92853ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_flatshading.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="flatshading", parent_name="isosurface", **kwargs):
+        super(FlatshadingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hoverinfo.py b/packages/python/plotly/plotly/validators/isosurface/_hoverinfo.py
new file mode 100644
index 00000000000..248e1fbe866
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="isosurface", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/isosurface/_hoverinfosrc.py
new file mode 100644
index 00000000000..3ab417f25b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="isosurface", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hoverlabel.py b/packages/python/plotly/plotly/validators/isosurface/_hoverlabel.py
new file mode 100644
index 00000000000..d983dc4bec6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="isosurface", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hovertemplate.py b/packages/python/plotly/plotly/validators/isosurface/_hovertemplate.py
new file mode 100644
index 00000000000..1ad3a3f2c55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="isosurface", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/isosurface/_hovertemplatesrc.py
new file mode 100644
index 00000000000..a64ac3ed898
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="isosurface", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hovertext.py b/packages/python/plotly/plotly/validators/isosurface/_hovertext.py
new file mode 100644
index 00000000000..fed6206eeab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="isosurface", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_hovertextsrc.py b/packages/python/plotly/plotly/validators/isosurface/_hovertextsrc.py
new file mode 100644
index 00000000000..d4cdc7feaac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="isosurface", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_ids.py b/packages/python/plotly/plotly/validators/isosurface/_ids.py
new file mode 100644
index 00000000000..f9d5161aff1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="isosurface", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_idssrc.py b/packages/python/plotly/plotly/validators/isosurface/_idssrc.py
new file mode 100644
index 00000000000..bb8a0b4fc99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="isosurface", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_isomax.py b/packages/python/plotly/plotly/validators/isosurface/_isomax.py
new file mode 100644
index 00000000000..5639a7830bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_isomax.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IsomaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="isomax", parent_name="isosurface", **kwargs):
+        super(IsomaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_isomin.py b/packages/python/plotly/plotly/validators/isosurface/_isomin.py
new file mode 100644
index 00000000000..22ec85adf79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_isomin.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IsominValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="isomin", parent_name="isosurface", **kwargs):
+        super(IsominValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_legendgroup.py b/packages/python/plotly/plotly/validators/isosurface/_legendgroup.py
new file mode 100644
index 00000000000..cd94818ac2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="isosurface", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_lighting.py b/packages/python/plotly/plotly/validators/isosurface/_lighting.py
new file mode 100644
index 00000000000..9b0fe5f0516
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_lighting.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lighting", parent_name="isosurface", **kwargs):
+        super(LightingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lighting"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            ambient
+                Ambient light increases overall color
+                visibility but can wash out the image.
+            diffuse
+                Represents the extent that incident rays are
+                reflected in a range of angles.
+            facenormalsepsilon
+                Epsilon for face normals calculation avoids
+                math issues arising from degenerate geometry.
+            fresnel
+                Represents the reflectance as a dependency of
+                the viewing angle; e.g. paper is reflective
+                when viewing it from the edge of the paper
+                (almost 90 degrees), causing shine.
+            roughness
+                Alters specular reflection; the rougher the
+                surface, the wider and less contrasty the
+                shine.
+            specular
+                Represents the level that incident rays are
+                reflected in a single direction, causing shine.
+            vertexnormalsepsilon
+                Epsilon for vertex normals calculation avoids
+                math issues arising from degenerate geometry.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_lightposition.py b/packages/python/plotly/plotly/validators/isosurface/_lightposition.py
new file mode 100644
index 00000000000..3a4a6a3064e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_lightposition.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lightposition", parent_name="isosurface", **kwargs):
+        super(LightpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Numeric vector, representing the X coordinate
+                for each vertex.
+            y
+                Numeric vector, representing the Y coordinate
+                for each vertex.
+            z
+                Numeric vector, representing the Z coordinate
+                for each vertex.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_meta.py b/packages/python/plotly/plotly/validators/isosurface/_meta.py
new file mode 100644
index 00000000000..91f4a9af450
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="isosurface", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_metasrc.py b/packages/python/plotly/plotly/validators/isosurface/_metasrc.py
new file mode 100644
index 00000000000..fb73a34b894
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="isosurface", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_name.py b/packages/python/plotly/plotly/validators/isosurface/_name.py
new file mode 100644
index 00000000000..4572f9402de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="isosurface", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_opacity.py b/packages/python/plotly/plotly/validators/isosurface/_opacity.py
new file mode 100644
index 00000000000..980545beda4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="isosurface", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_reversescale.py b/packages/python/plotly/plotly/validators/isosurface/_reversescale.py
new file mode 100644
index 00000000000..70df2abe717
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="isosurface", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_scene.py b/packages/python/plotly/plotly/validators/isosurface/_scene.py
new file mode 100644
index 00000000000..3a33e3f7875
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="isosurface", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_showlegend.py b/packages/python/plotly/plotly/validators/isosurface/_showlegend.py
new file mode 100644
index 00000000000..eda658e7455
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="isosurface", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_showscale.py b/packages/python/plotly/plotly/validators/isosurface/_showscale.py
new file mode 100644
index 00000000000..2439ed28d6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="isosurface", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_slices.py b/packages/python/plotly/plotly/validators/isosurface/_slices.py
new file mode 100644
index 00000000000..704779f0747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_slices.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class SlicesValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="slices", parent_name="isosurface", **kwargs):
+        super(SlicesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Slices"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                :class:`plotly.graph_objects.isosurface.slices.
+                X` instance or dict with compatible properties
+            y
+                :class:`plotly.graph_objects.isosurface.slices.
+                Y` instance or dict with compatible properties
+            z
+                :class:`plotly.graph_objects.isosurface.slices.
+                Z` instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_spaceframe.py b/packages/python/plotly/plotly/validators/isosurface/_spaceframe.py
new file mode 100644
index 00000000000..6a54954fbf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_spaceframe.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class SpaceframeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="spaceframe", parent_name="isosurface", **kwargs):
+        super(SpaceframeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Spaceframe"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `spaceframe`
+                elements. The default fill value is 0.15
+                meaning that only 15% of the area of every
+                faces of tetras would be shaded. Applying a
+                greater `fill` ratio would allow the creation
+                of stronger elements or could be sued to have
+                entirely closed areas (in case of using 1).
+            show
+                Displays/hides tetrahedron shapes between
+                minimum and maximum iso-values. Often useful
+                when either caps or surfaces are disabled or
+                filled with values less than 1.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_stream.py b/packages/python/plotly/plotly/validators/isosurface/_stream.py
new file mode 100644
index 00000000000..508611695b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="isosurface", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_surface.py b/packages/python/plotly/plotly/validators/isosurface/_surface.py
new file mode 100644
index 00000000000..11e1d2e6f44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_surface.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="surface", parent_name="isosurface", **kwargs):
+        super(SurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Surface"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            count
+                Sets the number of iso-surfaces between minimum
+                and maximum iso-values. By default this value
+                is 2 meaning that only minimum and maximum
+                surfaces would be drawn.
+            fill
+                Sets the fill ratio of the iso-surface. The
+                default fill value of the surface is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            pattern
+                Sets the surface pattern of the iso-surface 3-D
+                sections. The default pattern of the surface is
+                `all` meaning that the rest of surface elements
+                would be shaded. The check options (either 1 or
+                2) could be used to draw half of the squares on
+                the surface. Using various combinations of
+                capital `A`, `B`, `C`, `D` and `E` may also be
+                used to reduce the number of triangles on the
+                iso-surfaces and creating other patterns of
+                interest.
+            show
+                Hides/displays surfaces between minimum and
+                maximum iso-values.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_text.py b/packages/python/plotly/plotly/validators/isosurface/_text.py
new file mode 100644
index 00000000000..3f586e92879
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="isosurface", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_textsrc.py b/packages/python/plotly/plotly/validators/isosurface/_textsrc.py
new file mode 100644
index 00000000000..eae738f87d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="isosurface", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_uid.py b/packages/python/plotly/plotly/validators/isosurface/_uid.py
new file mode 100644
index 00000000000..d0fefd12631
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="isosurface", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_uirevision.py b/packages/python/plotly/plotly/validators/isosurface/_uirevision.py
new file mode 100644
index 00000000000..6f34ba033b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="isosurface", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_value.py b/packages/python/plotly/plotly/validators/isosurface/_value.py
new file mode 100644
index 00000000000..aeada45f16c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_value.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="value", parent_name="isosurface", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_valuesrc.py b/packages/python/plotly/plotly/validators/isosurface/_valuesrc.py
new file mode 100644
index 00000000000..19257e38735
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_valuesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuesrc", parent_name="isosurface", **kwargs):
+        super(ValuesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_visible.py b/packages/python/plotly/plotly/validators/isosurface/_visible.py
new file mode 100644
index 00000000000..f9e0af9a11e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="isosurface", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_x.py b/packages/python/plotly/plotly/validators/isosurface/_x.py
new file mode 100644
index 00000000000..24d62e36f6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="isosurface", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_xsrc.py b/packages/python/plotly/plotly/validators/isosurface/_xsrc.py
new file mode 100644
index 00000000000..9ded7059098
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="isosurface", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_y.py b/packages/python/plotly/plotly/validators/isosurface/_y.py
new file mode 100644
index 00000000000..d16fd95bf11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="isosurface", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_ysrc.py b/packages/python/plotly/plotly/validators/isosurface/_ysrc.py
new file mode 100644
index 00000000000..ae7bd294898
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="isosurface", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_z.py b/packages/python/plotly/plotly/validators/isosurface/_z.py
new file mode 100644
index 00000000000..15b36bf8255
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="isosurface", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/_zsrc.py b/packages/python/plotly/plotly/validators/isosurface/_zsrc.py
new file mode 100644
index 00000000000..580623a28de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="isosurface", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/__init__.py b/packages/python/plotly/plotly/validators/isosurface/caps/__init__.py
index 286402b58d6..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/isosurface/caps/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/__init__.py
@@ -1,91 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="z", parent_name="isosurface.caps", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Z"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `caps`. The default
-                fill value of the `caps` is 1 meaning that they
-                are entirely shaded. On the other hand Applying
-                a `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Sets the fill ratio of the `slices`. The
-                default fill value of the z `slices` is 1
-                meaning that they are entirely shaded. On the
-                other hand Applying a `fill` ratio less than
-                one would allow the creation of openings
-                parallel to the edges.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="y", parent_name="isosurface.caps", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Y"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `caps`. The default
-                fill value of the `caps` is 1 meaning that they
-                are entirely shaded. On the other hand Applying
-                a `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Sets the fill ratio of the `slices`. The
-                default fill value of the y `slices` is 1
-                meaning that they are entirely shaded. On the
-                other hand Applying a `fill` ratio less than
-                one would allow the creation of openings
-                parallel to the edges.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="x", parent_name="isosurface.caps", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "X"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `caps`. The default
-                fill value of the `caps` is 1 meaning that they
-                are entirely shaded. On the other hand Applying
-                a `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Sets the fill ratio of the `slices`. The
-                default fill value of the x `slices` is 1
-                meaning that they are entirely shaded. On the
-                other hand Applying a `fill` ratio less than
-                one would allow the creation of openings
-                parallel to the edges.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/_x.py b/packages/python/plotly/plotly/validators/isosurface/caps/_x.py
new file mode 100644
index 00000000000..e66a761bec3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/_x.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="x", parent_name="isosurface.caps", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "X"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `caps`. The default
+                fill value of the `caps` is 1 meaning that they
+                are entirely shaded. On the other hand Applying
+                a `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Sets the fill ratio of the `slices`. The
+                default fill value of the x `slices` is 1
+                meaning that they are entirely shaded. On the
+                other hand Applying a `fill` ratio less than
+                one would allow the creation of openings
+                parallel to the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/_y.py b/packages/python/plotly/plotly/validators/isosurface/caps/_y.py
new file mode 100644
index 00000000000..2c2653f60c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/_y.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="y", parent_name="isosurface.caps", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Y"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `caps`. The default
+                fill value of the `caps` is 1 meaning that they
+                are entirely shaded. On the other hand Applying
+                a `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Sets the fill ratio of the `slices`. The
+                default fill value of the y `slices` is 1
+                meaning that they are entirely shaded. On the
+                other hand Applying a `fill` ratio less than
+                one would allow the creation of openings
+                parallel to the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/_z.py b/packages/python/plotly/plotly/validators/isosurface/caps/_z.py
new file mode 100644
index 00000000000..2ecd6f3449e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/_z.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="z", parent_name="isosurface.caps", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Z"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `caps`. The default
+                fill value of the `caps` is 1 meaning that they
+                are entirely shaded. On the other hand Applying
+                a `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Sets the fill ratio of the `slices`. The
+                default fill value of the z `slices` is 1
+                meaning that they are entirely shaded. On the
+                other hand Applying a `fill` ratio less than
+                one would allow the creation of openings
+                parallel to the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/x/__init__.py b/packages/python/plotly/plotly/validators/isosurface/caps/x/__init__.py
index f45b43dcaba..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/isosurface/caps/x/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/x/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.caps.x", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.caps.x", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/x/_fill.py b/packages/python/plotly/plotly/validators/isosurface/caps/x/_fill.py
new file mode 100644
index 00000000000..db82f6fbe04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/x/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.caps.x", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/x/_show.py b/packages/python/plotly/plotly/validators/isosurface/caps/x/_show.py
new file mode 100644
index 00000000000..ac2166293ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/x/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.caps.x", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/y/__init__.py b/packages/python/plotly/plotly/validators/isosurface/caps/y/__init__.py
index 464ff109baf..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/isosurface/caps/y/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/y/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.caps.y", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.caps.y", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/y/_fill.py b/packages/python/plotly/plotly/validators/isosurface/caps/y/_fill.py
new file mode 100644
index 00000000000..e4be221f0b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/y/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.caps.y", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/y/_show.py b/packages/python/plotly/plotly/validators/isosurface/caps/y/_show.py
new file mode 100644
index 00000000000..dc1544aee9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/y/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.caps.y", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/z/__init__.py b/packages/python/plotly/plotly/validators/isosurface/caps/z/__init__.py
index e9ea4aaa7bb..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/isosurface/caps/z/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/z/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.caps.z", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.caps.z", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/z/_fill.py b/packages/python/plotly/plotly/validators/isosurface/caps/z/_fill.py
new file mode 100644
index 00000000000..c3269eedd8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/z/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.caps.z", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/caps/z/_show.py b/packages/python/plotly/plotly/validators/isosurface/caps/z/_show.py
new file mode 100644
index 00000000000..0afe370c441
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/caps/z/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.caps.z", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/__init__.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/__init__.py
index cc082ae5eff..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/isosurface/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/__init__.py
@@ -1,761 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="isosurface.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="isosurface.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="isosurface.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="isosurface.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="isosurface.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="isosurface.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="isosurface.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="isosurface.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..beeae2e8e25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..a025825d9e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..3a734d69b8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_dtick.py
new file mode 100644
index 00000000000..847c6ade3a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..25b82bb831f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_len.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_len.py
new file mode 100644
index 00000000000..4edfe7651a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="isosurface.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_lenmode.py
new file mode 100644
index 00000000000..2c014bd3341
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_nticks.py
new file mode 100644
index 00000000000..cd06dba79ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..43bf8886592
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..ed0923a9cc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..3f36842cc52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="isosurface.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showexponent.py
new file mode 100644
index 00000000000..c15840b4a47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..8af618c8146
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..98be4cada26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..fd55cb8dd36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_thickness.py
new file mode 100644
index 00000000000..a6a4e8559bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..d846b51fed8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tick0.py
new file mode 100644
index 00000000000..17bfb49b977
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickangle.py
new file mode 100644
index 00000000000..9edeede6838
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..49cc9ba8645
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickfont.py
new file mode 100644
index 00000000000..5b3baa9739b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformat.py
new file mode 100644
index 00000000000..fe0b104663e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..3a47d7b551d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="isosurface.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..44af6a2b681
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticklen.py
new file mode 100644
index 00000000000..7d328969781
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickmode.py
new file mode 100644
index 00000000000..7316853e3c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..3074672e81e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticks.py
new file mode 100644
index 00000000000..1b3c92791c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..29edb85b4ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticktext.py
new file mode 100644
index 00000000000..4c5ab029f52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..de78a2c80c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickvals.py
new file mode 100644
index 00000000000..875fda47718
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..6f5e4aec174
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..30f3425096f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_title.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_title.py
new file mode 100644
index 00000000000..85c765552f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_x.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_x.py
new file mode 100644
index 00000000000..abb75f31818
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="isosurface.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_xanchor.py
new file mode 100644
index 00000000000..d91978811ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_xpad.py
new file mode 100644
index 00000000000..e3772554786
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="isosurface.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_y.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_y.py
new file mode 100644
index 00000000000..b9c4df1b489
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="isosurface.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_yanchor.py
new file mode 100644
index 00000000000..8195daa0ad3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="isosurface.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ypad.py
new file mode 100644
index 00000000000..13f964d71bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="isosurface.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/__init__.py
index 9c56ecdcbb0..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="isosurface.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="isosurface.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="isosurface.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..feaf6adb989
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="isosurface.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..c5c375f8352
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="isosurface.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..3aa450f9571
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="isosurface.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/__init__.py
index fb83620baa0..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="isosurface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="isosurface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="isosurface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="isosurface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="isosurface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..65bc97639a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="isosurface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..e40691424d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="isosurface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..76b277d163a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="isosurface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..20b4ab5f601
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="isosurface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..b697f15d95f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="isosurface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/__init__.py
index b3f68128356..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="isosurface.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="isosurface.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="isosurface.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_font.py
new file mode 100644
index 00000000000..9adb191b2f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="isosurface.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_side.py
new file mode 100644
index 00000000000..279bef1c61c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="isosurface.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_text.py
new file mode 100644
index 00000000000..5595928c407
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="isosurface.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/__init__.py
index 6bcdb8688cf..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/__init__.py
@@ -1,55 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="isosurface.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="isosurface.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="isosurface.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..e38905ba4f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="isosurface.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..5b83eceb018
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="isosurface.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..0c487b7c988
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="isosurface.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/contour/__init__.py b/packages/python/plotly/plotly/validators/isosurface/contour/__init__.py
index d732028d07c..e59b78ead51 100644
--- a/packages/python/plotly/plotly/validators/isosurface/contour/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/contour/__init__.py
@@ -1,42 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="isosurface.contour", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.contour", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="isosurface.contour", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._show import ShowValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._show.ShowValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/contour/_color.py b/packages/python/plotly/plotly/validators/isosurface/contour/_color.py
new file mode 100644
index 00000000000..c9127630e5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/contour/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="isosurface.contour", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/contour/_show.py b/packages/python/plotly/plotly/validators/isosurface/contour/_show.py
new file mode 100644
index 00000000000..0c4f1fb8f27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/contour/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.contour", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/contour/_width.py b/packages/python/plotly/plotly/validators/isosurface/contour/_width.py
new file mode 100644
index 00000000000..75dea7c3379
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/contour/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="isosurface.contour", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/__init__.py
index 2f9c4b05ba7..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/__init__.py
@@ -1,185 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="isosurface.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="isosurface.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_align.py
new file mode 100644
index 00000000000..36fe4e19417
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..24baf886334
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..765ea7e113e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..b8963b2e550
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..897d33f97a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..bd6d072831c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="isosurface.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_font.py
new file mode 100644
index 00000000000..a0f9a9a397e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..47b855e9192
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..50f89e32367
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="isosurface.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/__init__.py
index 57b7a8c7636..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/__init__.py
@@ -1,103 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="isosurface.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="isosurface.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="isosurface.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="isosurface.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="isosurface.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="isosurface.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..aa710cda356
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="isosurface.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..894555266ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="isosurface.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..27068c72077
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="isosurface.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b602551ae5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="isosurface.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..4ef9ce26c66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="isosurface.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..aaa3549a8b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="isosurface.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/__init__.py b/packages/python/plotly/plotly/validators/isosurface/lighting/__init__.py
index 9bb5bb4702d..12f1cf66154 100644
--- a/packages/python/plotly/plotly/validators/isosurface/lighting/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/__init__.py
@@ -1,130 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="vertexnormalsepsilon",
-        parent_name="isosurface.lighting",
-        **kwargs
-    ):
-        super(VertexnormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="specular", parent_name="isosurface.lighting", **kwargs
-    ):
-        super(SpecularValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="roughness", parent_name="isosurface.lighting", **kwargs
-    ):
-        super(RoughnessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="fresnel", parent_name="isosurface.lighting", **kwargs
-    ):
-        super(FresnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="facenormalsepsilon",
-        parent_name="isosurface.lighting",
-        **kwargs
-    ):
-        super(FacenormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="diffuse", parent_name="isosurface.lighting", **kwargs
-    ):
-        super(DiffuseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ambient", parent_name="isosurface.lighting", **kwargs
-    ):
-        super(AmbientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._vertexnormalsepsilon import VertexnormalsepsilonValidator
+    from ._specular import SpecularValidator
+    from ._roughness import RoughnessValidator
+    from ._fresnel import FresnelValidator
+    from ._facenormalsepsilon import FacenormalsepsilonValidator
+    from ._diffuse import DiffuseValidator
+    from ._ambient import AmbientValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._vertexnormalsepsilon.VertexnormalsepsilonValidator",
+            "._specular.SpecularValidator",
+            "._roughness.RoughnessValidator",
+            "._fresnel.FresnelValidator",
+            "._facenormalsepsilon.FacenormalsepsilonValidator",
+            "._diffuse.DiffuseValidator",
+            "._ambient.AmbientValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_ambient.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_ambient.py
new file mode 100644
index 00000000000..f3076c1a3bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_ambient.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ambient", parent_name="isosurface.lighting", **kwargs
+    ):
+        super(AmbientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_diffuse.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_diffuse.py
new file mode 100644
index 00000000000..8575b01cfc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_diffuse.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="diffuse", parent_name="isosurface.lighting", **kwargs
+    ):
+        super(DiffuseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_facenormalsepsilon.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_facenormalsepsilon.py
new file mode 100644
index 00000000000..c2ed7e207f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_facenormalsepsilon.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="facenormalsepsilon",
+        parent_name="isosurface.lighting",
+        **kwargs
+    ):
+        super(FacenormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_fresnel.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_fresnel.py
new file mode 100644
index 00000000000..2f8663ad392
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_fresnel.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="fresnel", parent_name="isosurface.lighting", **kwargs
+    ):
+        super(FresnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_roughness.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_roughness.py
new file mode 100644
index 00000000000..c460f3e8cb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_roughness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="roughness", parent_name="isosurface.lighting", **kwargs
+    ):
+        super(RoughnessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_specular.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_specular.py
new file mode 100644
index 00000000000..6b8c2485bcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_specular.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="specular", parent_name="isosurface.lighting", **kwargs
+    ):
+        super(SpecularValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lighting/_vertexnormalsepsilon.py b/packages/python/plotly/plotly/validators/isosurface/lighting/_vertexnormalsepsilon.py
new file mode 100644
index 00000000000..1d02837791e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lighting/_vertexnormalsepsilon.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="vertexnormalsepsilon",
+        parent_name="isosurface.lighting",
+        **kwargs
+    ):
+        super(VertexnormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lightposition/__init__.py b/packages/python/plotly/plotly/validators/isosurface/lightposition/__init__.py
index e498852bffd..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/isosurface/lightposition/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/lightposition/__init__.py
@@ -1,52 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="isosurface.lightposition", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="isosurface.lightposition", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="isosurface.lightposition", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lightposition/_x.py b/packages/python/plotly/plotly/validators/isosurface/lightposition/_x.py
new file mode 100644
index 00000000000..664eb373a50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lightposition/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="isosurface.lightposition", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lightposition/_y.py b/packages/python/plotly/plotly/validators/isosurface/lightposition/_y.py
new file mode 100644
index 00000000000..c774ddaef38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lightposition/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="isosurface.lightposition", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/lightposition/_z.py b/packages/python/plotly/plotly/validators/isosurface/lightposition/_z.py
new file mode 100644
index 00000000000..7cfd0570e5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/lightposition/_z.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="isosurface.lightposition", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/__init__.py b/packages/python/plotly/plotly/validators/isosurface/slices/__init__.py
index 762752c61b9..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/isosurface/slices/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/__init__.py
@@ -1,106 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="z", parent_name="isosurface.slices", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Z"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `slices`. The
-                default fill value of the `slices` is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            locations
-                Specifies the location(s) of slices on the
-                axis. When not specified slices would be
-                created for all points of the axis z except
-                start and end.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            show
-                Determines whether or not slice planes about
-                the z dimension are drawn.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="y", parent_name="isosurface.slices", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Y"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `slices`. The
-                default fill value of the `slices` is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            locations
-                Specifies the location(s) of slices on the
-                axis. When not specified slices would be
-                created for all points of the axis y except
-                start and end.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            show
-                Determines whether or not slice planes about
-                the y dimension are drawn.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="x", parent_name="isosurface.slices", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "X"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `slices`. The
-                default fill value of the `slices` is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            locations
-                Specifies the location(s) of slices on the
-                axis. When not specified slices would be
-                created for all points of the axis x except
-                start and end.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            show
-                Determines whether or not slice planes about
-                the x dimension are drawn.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/_x.py b/packages/python/plotly/plotly/validators/isosurface/slices/_x.py
new file mode 100644
index 00000000000..2ba390434eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/_x.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="x", parent_name="isosurface.slices", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "X"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `slices`. The
+                default fill value of the `slices` is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            locations
+                Specifies the location(s) of slices on the
+                axis. When not specified slices would be
+                created for all points of the axis x except
+                start and end.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            show
+                Determines whether or not slice planes about
+                the x dimension are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/_y.py b/packages/python/plotly/plotly/validators/isosurface/slices/_y.py
new file mode 100644
index 00000000000..a1b9f2c7a8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/_y.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="y", parent_name="isosurface.slices", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Y"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `slices`. The
+                default fill value of the `slices` is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            locations
+                Specifies the location(s) of slices on the
+                axis. When not specified slices would be
+                created for all points of the axis y except
+                start and end.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            show
+                Determines whether or not slice planes about
+                the y dimension are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/_z.py b/packages/python/plotly/plotly/validators/isosurface/slices/_z.py
new file mode 100644
index 00000000000..d70f4336d2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/_z.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="z", parent_name="isosurface.slices", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Z"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `slices`. The
+                default fill value of the `slices` is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            locations
+                Specifies the location(s) of slices on the
+                axis. When not specified slices would be
+                created for all points of the axis z except
+                start and end.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            show
+                Determines whether or not slice planes about
+                the z dimension are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/x/__init__.py b/packages/python/plotly/plotly/validators/isosurface/slices/x/__init__.py
index 26f5d09f8d4..164bbaf02df 100644
--- a/packages/python/plotly/plotly/validators/isosurface/slices/x/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/x/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.slices.x", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="isosurface.slices.x", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="isosurface.slices.x", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.slices.x", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._fill.FillValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/x/_fill.py b/packages/python/plotly/plotly/validators/isosurface/slices/x/_fill.py
new file mode 100644
index 00000000000..e4dbc5db753
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/x/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.slices.x", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/x/_locations.py b/packages/python/plotly/plotly/validators/isosurface/slices/x/_locations.py
new file mode 100644
index 00000000000..b76f98cd9e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/x/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="isosurface.slices.x", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/x/_locationssrc.py b/packages/python/plotly/plotly/validators/isosurface/slices/x/_locationssrc.py
new file mode 100644
index 00000000000..4e1e159c7be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/x/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="isosurface.slices.x", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/x/_show.py b/packages/python/plotly/plotly/validators/isosurface/slices/x/_show.py
new file mode 100644
index 00000000000..ce220697c46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/x/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.slices.x", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/y/__init__.py b/packages/python/plotly/plotly/validators/isosurface/slices/y/__init__.py
index ffdce1304e3..164bbaf02df 100644
--- a/packages/python/plotly/plotly/validators/isosurface/slices/y/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/y/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.slices.y", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="isosurface.slices.y", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="isosurface.slices.y", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.slices.y", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._fill.FillValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/y/_fill.py b/packages/python/plotly/plotly/validators/isosurface/slices/y/_fill.py
new file mode 100644
index 00000000000..b00b0fba645
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/y/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.slices.y", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/y/_locations.py b/packages/python/plotly/plotly/validators/isosurface/slices/y/_locations.py
new file mode 100644
index 00000000000..4a952d67fca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/y/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="isosurface.slices.y", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/y/_locationssrc.py b/packages/python/plotly/plotly/validators/isosurface/slices/y/_locationssrc.py
new file mode 100644
index 00000000000..f7e34296a16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/y/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="isosurface.slices.y", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/y/_show.py b/packages/python/plotly/plotly/validators/isosurface/slices/y/_show.py
new file mode 100644
index 00000000000..850ebf5fd5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/y/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.slices.y", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/z/__init__.py b/packages/python/plotly/plotly/validators/isosurface/slices/z/__init__.py
index dd10c8a9d78..164bbaf02df 100644
--- a/packages/python/plotly/plotly/validators/isosurface/slices/z/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/z/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.slices.z", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="isosurface.slices.z", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="isosurface.slices.z", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.slices.z", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._fill.FillValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/z/_fill.py b/packages/python/plotly/plotly/validators/isosurface/slices/z/_fill.py
new file mode 100644
index 00000000000..2661b9597e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/z/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.slices.z", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/z/_locations.py b/packages/python/plotly/plotly/validators/isosurface/slices/z/_locations.py
new file mode 100644
index 00000000000..f069e32f003
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/z/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="isosurface.slices.z", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/z/_locationssrc.py b/packages/python/plotly/plotly/validators/isosurface/slices/z/_locationssrc.py
new file mode 100644
index 00000000000..d7b7be969b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/z/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="isosurface.slices.z", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/slices/z/_show.py b/packages/python/plotly/plotly/validators/isosurface/slices/z/_show.py
new file mode 100644
index 00000000000..125a2755d1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/slices/z/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.slices.z", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/spaceframe/__init__.py b/packages/python/plotly/plotly/validators/isosurface/spaceframe/__init__.py
index a351901cd83..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/isosurface/spaceframe/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/spaceframe/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="show", parent_name="isosurface.spaceframe", **kwargs
-    ):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="fill", parent_name="isosurface.spaceframe", **kwargs
-    ):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/spaceframe/_fill.py b/packages/python/plotly/plotly/validators/isosurface/spaceframe/_fill.py
new file mode 100644
index 00000000000..c53e10855cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/spaceframe/_fill.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="fill", parent_name="isosurface.spaceframe", **kwargs
+    ):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/spaceframe/_show.py b/packages/python/plotly/plotly/validators/isosurface/spaceframe/_show.py
new file mode 100644
index 00000000000..70493553175
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/spaceframe/_show.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="show", parent_name="isosurface.spaceframe", **kwargs
+    ):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/stream/__init__.py b/packages/python/plotly/plotly/validators/isosurface/stream/__init__.py
index e3d9c605e07..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/isosurface/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="isosurface.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="isosurface.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/isosurface/stream/_maxpoints.py
new file mode 100644
index 00000000000..143abf9ac73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="isosurface.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/stream/_token.py b/packages/python/plotly/plotly/validators/isosurface/stream/_token.py
new file mode 100644
index 00000000000..ccdfb6ce407
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="isosurface.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/surface/__init__.py b/packages/python/plotly/plotly/validators/isosurface/surface/__init__.py
index 8ad01c2fc5f..c75d5c08248 100644
--- a/packages/python/plotly/plotly/validators/isosurface/surface/__init__.py
+++ b/packages/python/plotly/plotly/validators/isosurface/surface/__init__.py
@@ -1,61 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="isosurface.surface", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PatternValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(
-        self, plotly_name="pattern", parent_name="isosurface.surface", **kwargs
-    ):
-        super(PatternValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "odd", "even"]),
-            flags=kwargs.pop("flags", ["A", "B", "C", "D", "E"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="isosurface.surface", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="count", parent_name="isosurface.surface", **kwargs):
-        super(CountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._pattern import PatternValidator
+    from ._fill import FillValidator
+    from ._count import CountValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._pattern.PatternValidator",
+            "._fill.FillValidator",
+            "._count.CountValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/isosurface/surface/_count.py b/packages/python/plotly/plotly/validators/isosurface/surface/_count.py
new file mode 100644
index 00000000000..f31d3251624
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/surface/_count.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CountValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="count", parent_name="isosurface.surface", **kwargs):
+        super(CountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/surface/_fill.py b/packages/python/plotly/plotly/validators/isosurface/surface/_fill.py
new file mode 100644
index 00000000000..9a105f934f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/surface/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="isosurface.surface", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/surface/_pattern.py b/packages/python/plotly/plotly/validators/isosurface/surface/_pattern.py
new file mode 100644
index 00000000000..d57fada99d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/surface/_pattern.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class PatternValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(
+        self, plotly_name="pattern", parent_name="isosurface.surface", **kwargs
+    ):
+        super(PatternValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "odd", "even"]),
+            flags=kwargs.pop("flags", ["A", "B", "C", "D", "E"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/isosurface/surface/_show.py b/packages/python/plotly/plotly/validators/isosurface/surface/_show.py
new file mode 100644
index 00000000000..8fa431dff49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/isosurface/surface/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="isosurface.surface", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/__init__.py b/packages/python/plotly/plotly/validators/layout/__init__.py
index 3cd081fbbbb..82c263791c6 100644
--- a/packages/python/plotly/plotly/validators/layout/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/__init__.py
@@ -1,3602 +1,174 @@
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="layout", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "YAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            anchor
-                If set to an opposite-letter axis id (e.g.
-                `x2`, `y`), this axis is bound to the
-                corresponding opposite-letter axis. If set to
-                "free", this axis' position is determined by
-                `position`.
-            automargin
-                Determines whether long tick labels
-                automatically grow the figure margins.
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            calendar
-                Sets the calendar system to use for `range` and
-                `tick0` if this is a date axis. This does not
-                set the calendar for interpreting data on this
-                axis, that's specified in the trace or via the
-                global `layout.calendar`
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            constrain
-                If this axis needs to be compressed (either due
-                to its own `scaleanchor` and `scaleratio` or
-                those of the other axis), determines how that
-                happens: by increasing the "range" (default),
-                or by decreasing the "domain".
-            constraintoward
-                If this axis needs to be compressed (either due
-                to its own `scaleanchor` and `scaleratio` or
-                those of the other axis), determines which
-                direction we push the originally specified plot
-                area. Options are "left", "center" (default),
-                and "right" for x axes, and "top", "middle"
-                (default), and "bottom" for y axes.
-            dividercolor
-                Sets the color of the dividers Only has an
-                effect on "multicategory" axes.
-            dividerwidth
-                Sets the width (in px) of the dividers Only has
-                an effect on "multicategory" axes.
-            domain
-                Sets the domain of this axis (in plot
-                fraction).
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            fixedrange
-                Determines whether or not this axis is zoom-
-                able. If true, then zoom is disabled.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            matches
-                If set to another axis id (e.g. `x2`, `y`), the
-                range of this axis will match the range of the
-                corresponding axis in data-coordinates space.
-                Moreover, matching axes share auto-range
-                values, category lists and histogram auto-bins.
-                Note that setting axes simultaneously in both a
-                `scaleanchor` and a `matches` constraint is
-                currently forbidden. Moreover, note that
-                matching axes must have the same `type`.
-            mirror
-                Determines if the axis lines or/and ticks are
-                mirrored to the opposite side of the plotting
-                area. If True, the axis lines are mirrored. If
-                "ticks", the axis lines and ticks are mirrored.
-                If False, mirroring is disable. If "all", axis
-                lines are mirrored on all shared-axes subplots.
-                If "allticks", axis lines and ticks are
-                mirrored on all shared-axes subplots.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            overlaying
-                If set a same-letter axis id, this axis is
-                overlaid on top of the corresponding same-
-                letter axis, with traces and axes visible for
-                both axes. If False, this axis does not overlay
-                any same-letter axes. In this case, for axes
-                with overlapping domains only the highest-
-                numbered axis will be visible.
-            position
-                Sets the position of this axis in the plotting
-                space (in normalized coordinates). Only has an
-                effect if `anchor` is set to "free".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangebreaks
-                A tuple of :class:`plotly.graph_objects.layout.
-                yaxis.Rangebreak` instances or dicts with
-                compatible properties
-            rangebreakdefaults
-                When used in a template (as layout.template.lay
-                out.yaxis.rangebreakdefaults), sets the default
-                property values to use for elements of
-                layout.yaxis.rangebreaks
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data. Applies
-                only to linear axes.
-            scaleanchor
-                If set to another axis id (e.g. `x2`, `y`), the
-                range of this axis changes together with the
-                range of the corresponding axis such that the
-                scale of pixels per unit is in a constant
-                ratio. Both axes are still zoomable, but when
-                you zoom one, the other will zoom the same
-                amount, keeping a fixed midpoint. `constrain`
-                and `constraintoward` determine how we enforce
-                the constraint. You can chain these, ie `yaxis:
-                {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
-                but you can only link axes of the same `type`.
-                The linked axis can have the opposite letter
-                (to constrain the aspect ratio) or the same
-                letter (to match scales across subplots). Loops
-                (`yaxis: {scaleanchor: *x*}, xaxis:
-                {scaleanchor: *y*}` or longer) are redundant
-                and the last constraint encountered will be
-                ignored to avoid possible inconsistent
-                constraints via `scaleratio`. Note that setting
-                axes simultaneously in both a `scaleanchor` and
-                a `matches` constraint is currently forbidden.
-            scaleratio
-                If this axis is linked to another by
-                `scaleanchor`, this determines the pixel to
-                unit scale ratio. For example, if this value is
-                10, then every unit on this axis spans 10 times
-                the number of pixels as a unit on the linked
-                axis. Use this for example to create an
-                elevation profile where the vertical scale is
-                exaggerated a fixed amount with respect to the
-                horizontal.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showdividers
-                Determines whether or not a dividers are drawn
-                between the category levels of this axis. Only
-                has an effect on "multicategory" axes.
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showspikes
-                Determines whether or not spikes (aka
-                droplines) are drawn for this axis. Note: This
-                only takes affect when hovermode = closest
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            side
-                Determines whether a x (y) axis is positioned
-                at the "bottom" ("left") or "top" ("right") of
-                the plotting area.
-            spikecolor
-                Sets the spike color. If undefined, will use
-                the series color
-            spikedash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            spikemode
-                Determines the drawing mode for the spike line
-                If "toaxis", the line is drawn from the data
-                point to the axis the  series is plotted on. If
-                "across", the line is drawn across the entire
-                plot area, and supercedes "toaxis". If
-                "marker", then a marker dot is drawn on the
-                axis the series is plotted on
-            spikesnap
-                Determines whether spikelines are stuck to the
-                cursor or to the closest datapoints.
-            spikethickness
-                Sets the width (in px) of the zero line.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                yaxis.Tickformatstop` instances or dicts with
-                compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.yaxis.tickformatstopdefaults), sets the
-                default property values to use for elements of
-                layout.yaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            tickson
-                Determines where ticks and grid lines are drawn
-                with respect to their corresponding tick
-                labels. Only has an effect for axes of `type`
-                "category" or "multicategory". When set to
-                "boundaries", ticks and grid lines are drawn
-                half a category to the left/bottom of labels.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.yaxis.Title
-                ` instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use layout.yaxis.title.font
-                instead. Sets this axis' title font. Note that
-                the title's font used to be customized by the
-                now deprecated `titlefont` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `range`, `autorange`, and `title` if in
-                `editable: true` configuration. Defaults to
-                `layout.uirevision`.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-            zeroline
-                Determines whether or not a line is drawn at
-                along the 0 value of this axis. If True, the
-                zero line is drawn on top of the grid lines.
-            zerolinecolor
-                Sets the line color of the zero line.
-            zerolinewidth
-                Sets the width (in px) of the zero line.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="layout", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "XAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            anchor
-                If set to an opposite-letter axis id (e.g.
-                `x2`, `y`), this axis is bound to the
-                corresponding opposite-letter axis. If set to
-                "free", this axis' position is determined by
-                `position`.
-            automargin
-                Determines whether long tick labels
-                automatically grow the figure margins.
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            calendar
-                Sets the calendar system to use for `range` and
-                `tick0` if this is a date axis. This does not
-                set the calendar for interpreting data on this
-                axis, that's specified in the trace or via the
-                global `layout.calendar`
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            constrain
-                If this axis needs to be compressed (either due
-                to its own `scaleanchor` and `scaleratio` or
-                those of the other axis), determines how that
-                happens: by increasing the "range" (default),
-                or by decreasing the "domain".
-            constraintoward
-                If this axis needs to be compressed (either due
-                to its own `scaleanchor` and `scaleratio` or
-                those of the other axis), determines which
-                direction we push the originally specified plot
-                area. Options are "left", "center" (default),
-                and "right" for x axes, and "top", "middle"
-                (default), and "bottom" for y axes.
-            dividercolor
-                Sets the color of the dividers Only has an
-                effect on "multicategory" axes.
-            dividerwidth
-                Sets the width (in px) of the dividers Only has
-                an effect on "multicategory" axes.
-            domain
-                Sets the domain of this axis (in plot
-                fraction).
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            fixedrange
-                Determines whether or not this axis is zoom-
-                able. If true, then zoom is disabled.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            matches
-                If set to another axis id (e.g. `x2`, `y`), the
-                range of this axis will match the range of the
-                corresponding axis in data-coordinates space.
-                Moreover, matching axes share auto-range
-                values, category lists and histogram auto-bins.
-                Note that setting axes simultaneously in both a
-                `scaleanchor` and a `matches` constraint is
-                currently forbidden. Moreover, note that
-                matching axes must have the same `type`.
-            mirror
-                Determines if the axis lines or/and ticks are
-                mirrored to the opposite side of the plotting
-                area. If True, the axis lines are mirrored. If
-                "ticks", the axis lines and ticks are mirrored.
-                If False, mirroring is disable. If "all", axis
-                lines are mirrored on all shared-axes subplots.
-                If "allticks", axis lines and ticks are
-                mirrored on all shared-axes subplots.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            overlaying
-                If set a same-letter axis id, this axis is
-                overlaid on top of the corresponding same-
-                letter axis, with traces and axes visible for
-                both axes. If False, this axis does not overlay
-                any same-letter axes. In this case, for axes
-                with overlapping domains only the highest-
-                numbered axis will be visible.
-            position
-                Sets the position of this axis in the plotting
-                space (in normalized coordinates). Only has an
-                effect if `anchor` is set to "free".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangebreaks
-                A tuple of :class:`plotly.graph_objects.layout.
-                xaxis.Rangebreak` instances or dicts with
-                compatible properties
-            rangebreakdefaults
-                When used in a template (as layout.template.lay
-                out.xaxis.rangebreakdefaults), sets the default
-                property values to use for elements of
-                layout.xaxis.rangebreaks
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data. Applies
-                only to linear axes.
-            rangeselector
-                :class:`plotly.graph_objects.layout.xaxis.Range
-                selector` instance or dict with compatible
-                properties
-            rangeslider
-                :class:`plotly.graph_objects.layout.xaxis.Range
-                slider` instance or dict with compatible
-                properties
-            scaleanchor
-                If set to another axis id (e.g. `x2`, `y`), the
-                range of this axis changes together with the
-                range of the corresponding axis such that the
-                scale of pixels per unit is in a constant
-                ratio. Both axes are still zoomable, but when
-                you zoom one, the other will zoom the same
-                amount, keeping a fixed midpoint. `constrain`
-                and `constraintoward` determine how we enforce
-                the constraint. You can chain these, ie `yaxis:
-                {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
-                but you can only link axes of the same `type`.
-                The linked axis can have the opposite letter
-                (to constrain the aspect ratio) or the same
-                letter (to match scales across subplots). Loops
-                (`yaxis: {scaleanchor: *x*}, xaxis:
-                {scaleanchor: *y*}` or longer) are redundant
-                and the last constraint encountered will be
-                ignored to avoid possible inconsistent
-                constraints via `scaleratio`. Note that setting
-                axes simultaneously in both a `scaleanchor` and
-                a `matches` constraint is currently forbidden.
-            scaleratio
-                If this axis is linked to another by
-                `scaleanchor`, this determines the pixel to
-                unit scale ratio. For example, if this value is
-                10, then every unit on this axis spans 10 times
-                the number of pixels as a unit on the linked
-                axis. Use this for example to create an
-                elevation profile where the vertical scale is
-                exaggerated a fixed amount with respect to the
-                horizontal.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showdividers
-                Determines whether or not a dividers are drawn
-                between the category levels of this axis. Only
-                has an effect on "multicategory" axes.
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showspikes
-                Determines whether or not spikes (aka
-                droplines) are drawn for this axis. Note: This
-                only takes affect when hovermode = closest
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            side
-                Determines whether a x (y) axis is positioned
-                at the "bottom" ("left") or "top" ("right") of
-                the plotting area.
-            spikecolor
-                Sets the spike color. If undefined, will use
-                the series color
-            spikedash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            spikemode
-                Determines the drawing mode for the spike line
-                If "toaxis", the line is drawn from the data
-                point to the axis the  series is plotted on. If
-                "across", the line is drawn across the entire
-                plot area, and supercedes "toaxis". If
-                "marker", then a marker dot is drawn on the
-                axis the series is plotted on
-            spikesnap
-                Determines whether spikelines are stuck to the
-                cursor or to the closest datapoints.
-            spikethickness
-                Sets the width (in px) of the zero line.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                xaxis.Tickformatstop` instances or dicts with
-                compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.xaxis.tickformatstopdefaults), sets the
-                default property values to use for elements of
-                layout.xaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            tickson
-                Determines where ticks and grid lines are drawn
-                with respect to their corresponding tick
-                labels. Only has an effect for axes of `type`
-                "category" or "multicategory". When set to
-                "boundaries", ticks and grid lines are drawn
-                half a category to the left/bottom of labels.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.xaxis.Title
-                ` instance or dict with compatible properties
-            titlefont
-                Deprecated: Please use layout.xaxis.title.font
-                instead. Sets this axis' title font. Note that
-                the title's font used to be customized by the
-                now deprecated `titlefont` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `range`, `autorange`, and `title` if in
-                `editable: true` configuration. Defaults to
-                `layout.uirevision`.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-            zeroline
-                Determines whether or not a line is drawn at
-                along the 0 value of this axis. If True, the
-                zero line is drawn on top of the grid lines.
-            zerolinecolor
-                Sets the line color of the zero line.
-            zerolinewidth
-                Sets the width (in px) of the zero line.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="layout", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 10),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WaterfallmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="waterfallmode", parent_name="layout", **kwargs):
-        super(WaterfallmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["group", "overlay"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WaterfallgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="waterfallgroupgap", parent_name="layout", **kwargs):
-        super(WaterfallgroupgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WaterfallgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="waterfallgap", parent_name="layout", **kwargs):
-        super(WaterfallgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ViolinmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="violinmode", parent_name="layout", **kwargs):
-        super(ViolinmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["group", "overlay"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ViolingroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="violingroupgap", parent_name="layout", **kwargs):
-        super(ViolingroupgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ViolingapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="violingap", parent_name="layout", **kwargs):
-        super(ViolingapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UpdatemenuValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="updatemenudefaults", parent_name="layout", **kwargs
-    ):
-        super(UpdatemenuValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Updatemenu"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UpdatemenusValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="updatemenus", parent_name="layout", **kwargs):
-        super(UpdatemenusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Updatemenu"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            active
-                Determines which button (by index starting from
-                0) is considered active.
-            bgcolor
-                Sets the background color of the update menu
-                buttons.
-            bordercolor
-                Sets the color of the border enclosing the
-                update menu.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the update menu.
-            buttons
-                A tuple of :class:`plotly.graph_objects.layout.
-                updatemenu.Button` instances or dicts with
-                compatible properties
-            buttondefaults
-                When used in a template (as layout.template.lay
-                out.updatemenu.buttondefaults), sets the
-                default property values to use for elements of
-                layout.updatemenu.buttons
-            direction
-                Determines the direction in which the buttons
-                are laid out, whether in a dropdown menu or a
-                row/column of buttons. For `left` and `up`, the
-                buttons will still appear in left-to-right or
-                top-to-bottom order respectively.
-            font
-                Sets the font of the update menu button text.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            pad
-                Sets the padding around the buttons or dropdown
-                menu.
-            showactive
-                Highlights active dropdown item or active
-                button if true.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            type
-                Determines whether the buttons are accessible
-                via a dropdown menu or whether the buttons are
-                stacked horizontally or vertically
-            visible
-                Determines whether or not the update menu is
-                visible.
-            x
-                Sets the x position (in normalized coordinates)
-                of the update menu.
-            xanchor
-                Sets the update menu's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the range
-                selector.
-            y
-                Sets the y position (in normalized coordinates)
-                of the update menu.
-            yanchor
-                Sets the update menu's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the range
-                selector.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UniformtextValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="uniformtext", parent_name="layout", **kwargs):
-        super(UniformtextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Uniformtext"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            minsize
-                Sets the minimum text size between traces of
-                the same type.
-            mode
-                Determines how the font size for various text
-                elements are uniformed between each trace type.
-                If the computed text sizes were smaller than
-                the minimum size defined by
-                `uniformtext.minsize` using "hide" option hides
-                the text; and using "show" option shows the
-                text without further downscaling. Please note
-                that if the size defined by `minsize` is
-                greater than the font size defined by trace,
-                then the `minsize` is used.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TreemapcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
-    def __init__(self, plotly_name="treemapcolorway", parent_name="layout", **kwargs):
-        super(TreemapcolorwayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TransitionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="transition", parent_name="layout", **kwargs):
-        super(TransitionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Transition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            duration
-                The duration of the transition, in
-                milliseconds. If equal to zero, updates are
-                synchronous.
-            easing
-                The easing function used for the transition
-            ordering
-                Determines whether the figure's layout or
-                traces smoothly transitions during updates that
-                make both traces and layout change.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets the title font. Note that the title's font
-                used to be customized by the now deprecated
-                `titlefont` attribute.
-            pad
-                Sets the padding of the title. Each padding
-                value only applies when the corresponding
-                `xanchor`/`yanchor` value is set accordingly.
-                E.g. for left padding to take effect, `xanchor`
-                must be set to "left". The same rule applies if
-                `xanchor`/`yanchor` is determined
-                automatically. Padding is muted if the
-                respective anchor value is "middle*/*center".
-            text
-                Sets the plot's title. Note that before the
-                existence of `title.text`, the title's contents
-                used to be defined as the `title` attribute
-                itself. This behavior has been deprecated.
-            x
-                Sets the x position with respect to `xref` in
-                normalized coordinates from 0 (left) to 1
-                (right).
-            xanchor
-                Sets the title's horizontal alignment with
-                respect to its x position. "left" means that
-                the title starts at x, "right" means that the
-                title ends at x and "center" means that the
-                title's center is at x. "auto" divides `xref`
-                by three and calculates the `xanchor` value
-                automatically based on the value of `x`.
-            xref
-                Sets the container `x` refers to. "container"
-                spans the entire `width` of the plot. "paper"
-                refers to the width of the plotting area only.
-            y
-                Sets the y position with respect to `yref` in
-                normalized coordinates from 0 (bottom) to 1
-                (top). "auto" places the baseline of the title
-                onto the vertical center of the top margin.
-            yanchor
-                Sets the title's vertical alignment with
-                respect to its y position. "top" means that the
-                title's cap line is at y, "bottom" means that
-                the title's baseline is at y and "middle" means
-                that the title's midline is at y. "auto"
-                divides `yref` by three and calculates the
-                `yanchor` value automatically based on the
-                value of `y`.
-            yref
-                Sets the container `y` refers to. "container"
-                spans the entire `height` of the plot. "paper"
-                refers to the height of the plotting area only.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TernaryValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="ternary", parent_name="layout", **kwargs):
-        super(TernaryValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Ternary"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            aaxis
-                :class:`plotly.graph_objects.layout.ternary.Aax
-                is` instance or dict with compatible properties
-            baxis
-                :class:`plotly.graph_objects.layout.ternary.Bax
-                is` instance or dict with compatible properties
-            bgcolor
-                Set the background color of the subplot
-            caxis
-                :class:`plotly.graph_objects.layout.ternary.Cax
-                is` instance or dict with compatible properties
-            domain
-                :class:`plotly.graph_objects.layout.ternary.Dom
-                ain` instance or dict with compatible
-                properties
-            sum
-                The number each triplet should sum to, and the
-                maximum range of each axis
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `min` and `title`, if not overridden in
-                the individual axes. Defaults to
-                `layout.uirevision`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateValidator(_plotly_utils.basevalidators.BaseTemplateValidator):
-    def __init__(self, plotly_name="template", parent_name="layout", **kwargs):
-        super(TemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Template"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            data
-                :class:`plotly.graph_objects.layout.template.Da
-                ta` instance or dict with compatible properties
-            layout
-                :class:`plotly.graph_objects.Layout` instance
-                or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SunburstcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
-    def __init__(self, plotly_name="sunburstcolorway", parent_name="layout", **kwargs):
-        super(SunburstcolorwayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikedistanceValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="spikedistance", parent_name="layout", **kwargs):
-        super(SpikedistanceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SliderValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="sliderdefaults", parent_name="layout", **kwargs):
-        super(SliderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Slider"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SlidersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="sliders", parent_name="layout", **kwargs):
-        super(SlidersValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Slider"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            active
-                Determines which button (by index starting from
-                0) is considered active.
-            activebgcolor
-                Sets the background color of the slider grip
-                while dragging.
-            bgcolor
-                Sets the background color of the slider.
-            bordercolor
-                Sets the color of the border enclosing the
-                slider.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the slider.
-            currentvalue
-                :class:`plotly.graph_objects.layout.slider.Curr
-                entvalue` instance or dict with compatible
-                properties
-            font
-                Sets the font of the slider step labels.
-            len
-                Sets the length of the slider This measure
-                excludes the padding of both ends. That is, the
-                slider's length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this slider length is set in
-                units of plot "fraction" or in *pixels. Use
-                `len` to set the value.
-            minorticklen
-                Sets the length in pixels of minor step tick
-                marks
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            pad
-                Set the padding of the slider component along
-                each side.
-            steps
-                A tuple of :class:`plotly.graph_objects.layout.
-                slider.Step` instances or dicts with compatible
-                properties
-            stepdefaults
-                When used in a template (as
-                layout.template.layout.slider.stepdefaults),
-                sets the default property values to use for
-                elements of layout.slider.steps
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            tickcolor
-                Sets the color of the border enclosing the
-                slider.
-            ticklen
-                Sets the length in pixels of step tick marks
-            tickwidth
-                Sets the tick width (in px).
-            transition
-                :class:`plotly.graph_objects.layout.slider.Tran
-                sition` instance or dict with compatible
-                properties
-            visible
-                Determines whether or not the slider is
-                visible.
-            x
-                Sets the x position (in normalized coordinates)
-                of the slider.
-            xanchor
-                Sets the slider's horizontal position anchor.
-                This anchor binds the `x` position to the
-                "left", "center" or "right" of the range
-                selector.
-            y
-                Sets the y position (in normalized coordinates)
-                of the slider.
-            yanchor
-                Sets the slider's vertical position anchor This
-                anchor binds the `y` position to the "top",
-                "middle" or "bottom" of the range selector.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="layout", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="shapedefaults", parent_name="layout", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Shape"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="shapes", parent_name="layout", **kwargs):
-        super(ShapesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Shape"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fillcolor
-                Sets the color filling the shape's interior.
-            layer
-                Specifies whether shapes are drawn below or
-                above traces.
-            line
-                :class:`plotly.graph_objects.layout.shape.Line`
-                instance or dict with compatible properties
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            opacity
-                Sets the opacity of the shape.
-            path
-                For `type` "path" - a valid SVG path with the
-                pixel values replaced by data values in
-                `xsizemode`/`ysizemode` being "scaled" and
-                taken unmodified as pixels relative to
-                `xanchor` and `yanchor` in case of "pixel" size
-                mode. There are a few restrictions / quirks
-                only absolute instructions, not relative. So
-                the allowed segments are: M, L, H, V, Q, C, T,
-                S, and Z arcs (A) are not allowed because
-                radius rx and ry are relative. In the future we
-                could consider supporting relative commands,
-                but we would have to decide on how to handle
-                date and log axes. Note that even as is, Q and
-                C Bezier paths that are smooth on linear axes
-                may not be smooth on log, and vice versa. no
-                chained "polybezier" commands - specify the
-                segment type for each one. On category axes,
-                values are numbers scaled to the serial numbers
-                of categories because using the categories
-                themselves there would be no way to describe
-                fractional positions On data axes: because
-                space and T are both normal components of path
-                strings, we can't use either to separate date
-                from time parts. Therefore we'll use underscore
-                for this purpose: 2015-02-21_13:45:56.789
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            type
-                Specifies the shape type to be drawn. If
-                "line", a line is drawn from (`x0`,`y0`) to
-                (`x1`,`y1`) with respect to the axes' sizing
-                mode. If "circle", a circle is drawn from
-                ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
-                (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2
-                -`y0`)|) with respect to the axes' sizing mode.
-                If "rect", a rectangle is drawn linking
-                (`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`),
-                (`x0`,`y1`), (`x0`,`y0`) with respect to the
-                axes' sizing mode. If "path", draw a custom SVG
-                path using `path`. with respect to the axes'
-                sizing mode.
-            visible
-                Determines whether or not this shape is
-                visible.
-            x0
-                Sets the shape's starting x position. See
-                `type` and `xsizemode` for more info.
-            x1
-                Sets the shape's end x position. See `type` and
-                `xsizemode` for more info.
-            xanchor
-                Only relevant in conjunction with `xsizemode`
-                set to "pixel". Specifies the anchor point on
-                the x axis to which `x0`, `x1` and x
-                coordinates within `path` are relative to. E.g.
-                useful to attach a pixel sized shape to a
-                certain data value. No effect when `xsizemode`
-                not set to "pixel".
-            xref
-                Sets the shape's x coordinate axis. If set to
-                an x axis id (e.g. "x" or "x2"), the `x`
-                position refers to an x coordinate. If set to
-                "paper", the `x` position refers to the
-                distance from the left side of the plotting
-                area in normalized coordinates where 0 (1)
-                corresponds to the left (right) side. If the
-                axis `type` is "log", then you must take the
-                log of your desired range. If the axis `type`
-                is "date", then you must convert the date to
-                unix time in milliseconds.
-            xsizemode
-                Sets the shapes's sizing mode along the x axis.
-                If set to "scaled", `x0`, `x1` and x
-                coordinates within `path` refer to data values
-                on the x axis or a fraction of the plot area's
-                width (`xref` set to "paper"). If set to
-                "pixel", `xanchor` specifies the x position in
-                terms of data or plot fraction but `x0`, `x1`
-                and x coordinates within `path` are pixels
-                relative to `xanchor`. This way, the shape can
-                have a fixed width while maintaining a position
-                relative to data or plot fraction.
-            y0
-                Sets the shape's starting y position. See
-                `type` and `ysizemode` for more info.
-            y1
-                Sets the shape's end y position. See `type` and
-                `ysizemode` for more info.
-            yanchor
-                Only relevant in conjunction with `ysizemode`
-                set to "pixel". Specifies the anchor point on
-                the y axis to which `y0`, `y1` and y
-                coordinates within `path` are relative to. E.g.
-                useful to attach a pixel sized shape to a
-                certain data value. No effect when `ysizemode`
-                not set to "pixel".
-            yref
-                Sets the annotation's y coordinate axis. If set
-                to an y axis id (e.g. "y" or "y2"), the `y`
-                position refers to an y coordinate If set to
-                "paper", the `y` position refers to the
-                distance from the bottom of the plotting area
-                in normalized coordinates where 0 (1)
-                corresponds to the bottom (top).
-            ysizemode
-                Sets the shapes's sizing mode along the y axis.
-                If set to "scaled", `y0`, `y1` and y
-                coordinates within `path` refer to data values
-                on the y axis or a fraction of the plot area's
-                height (`yref` set to "paper"). If set to
-                "pixel", `yanchor` specifies the y position in
-                terms of data or plot fraction but `y0`, `y1`
-                and y coordinates within `path` are pixels
-                relative to `yanchor`. This way, the shape can
-                have a fixed height while maintaining a
-                position relative to data or plot fraction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatorsValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="separators", parent_name="layout", **kwargs):
-        super(SeparatorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectionrevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectionrevision", parent_name="layout", **kwargs):
-        super(SelectionrevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectdirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="selectdirection", parent_name="layout", **kwargs):
-        super(SelectdirectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["h", "v", "d", "any"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="scene", parent_name="layout", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scene"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            annotations
-                A tuple of :class:`plotly.graph_objects.layout.
-                scene.Annotation` instances or dicts with
-                compatible properties
-            annotationdefaults
-                When used in a template (as layout.template.lay
-                out.scene.annotationdefaults), sets the default
-                property values to use for elements of
-                layout.scene.annotations
-            aspectmode
-                If "cube", this scene's axes are drawn as a
-                cube, regardless of the axes' ranges. If
-                "data", this scene's axes are drawn in
-                proportion with the axes' ranges. If "manual",
-                this scene's axes are drawn in proportion with
-                the input of "aspectratio" (the default
-                behavior if "aspectratio" is provided). If
-                "auto", this scene's axes are drawn using the
-                results of "data" except when one axis is more
-                than four times the size of the two others,
-                where in that case the results of "cube" are
-                used.
-            aspectratio
-                Sets this scene's axis aspectratio.
-            bgcolor
-
-            camera
-                :class:`plotly.graph_objects.layout.scene.Camer
-                a` instance or dict with compatible properties
-            domain
-                :class:`plotly.graph_objects.layout.scene.Domai
-                n` instance or dict with compatible properties
-            dragmode
-                Determines the mode of drag interactions for
-                this scene.
-            hovermode
-                Determines the mode of hover interactions for
-                this scene.
-            uirevision
-                Controls persistence of user-driven changes in
-                camera attributes. Defaults to
-                `layout.uirevision`.
-            xaxis
-                :class:`plotly.graph_objects.layout.scene.XAxis
-                ` instance or dict with compatible properties
-            yaxis
-                :class:`plotly.graph_objects.layout.scene.YAxis
-                ` instance or dict with compatible properties
-            zaxis
-                :class:`plotly.graph_objects.layout.scene.ZAxis
-                ` instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RadialAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="radialaxis", parent_name="layout", **kwargs):
-        super(RadialAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "RadialAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            domain
-                Polar chart subplots are not supported yet.
-                This key has currently no effect.
-            endpadding
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots.
-            orientation
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the
-                orientation (an angle with respect to the
-                origin) of the radial axis.
-            range
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Defines the start
-                and end point of this radial axis.
-            showline
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Determines whether
-                or not the line bounding this radial axis will
-                be shown on the figure.
-            showticklabels
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Determines whether
-                or not the radial axis ticks will feature tick
-                labels.
-            tickcolor
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the color of
-                the tick lines on this radial axis.
-            ticklen
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the length of
-                the tick lines on this radial axis.
-            tickorientation
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the
-                orientation (from the paper perspective) of the
-                radial axis tick labels.
-            ticksuffix
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the length of
-                the tick lines on this radial axis.
-            visible
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Determines whether
-                or not this axis will be visible.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PolarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="polar", parent_name="layout", **kwargs):
-        super(PolarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Polar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            angularaxis
-                :class:`plotly.graph_objects.layout.polar.Angul
-                arAxis` instance or dict with compatible
-                properties
-            bargap
-                Sets the gap between bars of adjacent location
-                coordinates. Values are unitless, they
-                represent fractions of the minimum difference
-                in bar positions in the data.
-            barmode
-                Determines how bars at the same location
-                coordinate are displayed on the graph. With
-                "stack", the bars are stacked on top of one
-                another With "overlay", the bars are plotted
-                over one another, you might need to an
-                "opacity" to see multiple bars.
-            bgcolor
-                Set the background color of the subplot
-            domain
-                :class:`plotly.graph_objects.layout.polar.Domai
-                n` instance or dict with compatible properties
-            gridshape
-                Determines if the radial axis grid lines and
-                angular axis line are drawn as "circular"
-                sectors or as "linear" (polygon) sectors. Has
-                an effect only when the angular axis has `type`
-                "category". Note that `radialaxis.angle` is
-                snapped to the angle of the closest vertex when
-                `gridshape` is "circular" (so that radial axis
-                scale is the same as the data scale).
-            hole
-                Sets the fraction of the radius to cut out of
-                the polar subplot.
-            radialaxis
-                :class:`plotly.graph_objects.layout.polar.Radia
-                lAxis` instance or dict with compatible
-                properties
-            sector
-                Sets angular span of this polar subplot with
-                two angles (in degrees). Sector are assumed to
-                be spanned in the counterclockwise direction
-                with 0 corresponding to rightmost limit of the
-                polar subplot.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis attributes, if not overridden in the
-                individual axes. Defaults to
-                `layout.uirevision`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PlotBgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="plot_bgcolor", parent_name="layout", **kwargs):
-        super(PlotBgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PiecolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
-    def __init__(self, plotly_name="piecolorway", parent_name="layout", **kwargs):
-        super(PiecolorwayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PaperBgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="paper_bgcolor", parent_name="layout", **kwargs):
-        super(PaperBgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="orientation", parent_name="layout", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModebarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="modebar", parent_name="layout", **kwargs):
-        super(ModebarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Modebar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            activecolor
-                Sets the color of the active or hovered on
-                icons in the modebar.
-            bgcolor
-                Sets the background color of the modebar.
-            color
-                Sets the color of the icons in the modebar.
-            orientation
-                Sets the orientation of the modebar.
-            uirevision
-                Controls persistence of user-driven changes
-                related to the modebar, including `hovermode`,
-                `dragmode`, and `showspikes` at both the root
-                level and inside subplots. Defaults to
-                `layout.uirevision`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="layout", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="layout", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarginValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="margin", parent_name="layout", **kwargs):
-        super(MarginValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Margin"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autoexpand
-                Turns on/off margin expansion computations.
-                Legends, colorbars, updatemenus, sliders, axis
-                rangeselector and rangeslider are allowed to
-                push the margins by defaults.
-            b
-                Sets the bottom margin (in px).
-            l
-                Sets the left margin (in px).
-            pad
-                Sets the amount of padding (in px) between the
-                plotting area and the axis lines
-            r
-                Sets the right margin (in px).
-            t
-                Sets the top margin (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="mapbox", parent_name="layout", **kwargs):
-        super(MapboxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Mapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            accesstoken
-                Sets the mapbox access token to be used for
-                this mapbox map. Alternatively, the mapbox
-                access token can be set in the configuration
-                options under `mapboxAccessToken`. Note that
-                accessToken are only required when `style` (e.g
-                with values : basic, streets, outdoors, light,
-                dark, satellite, satellite-streets ) and/or a
-                layout layer references the Mapbox server.
-            bearing
-                Sets the bearing angle of the map in degrees
-                counter-clockwise from North (mapbox.bearing).
-            center
-                :class:`plotly.graph_objects.layout.mapbox.Cent
-                er` instance or dict with compatible properties
-            domain
-                :class:`plotly.graph_objects.layout.mapbox.Doma
-                in` instance or dict with compatible properties
-            layers
-                A tuple of :class:`plotly.graph_objects.layout.
-                mapbox.Layer` instances or dicts with
-                compatible properties
-            layerdefaults
-                When used in a template (as
-                layout.template.layout.mapbox.layerdefaults),
-                sets the default property values to use for
-                elements of layout.mapbox.layers
-            pitch
-                Sets the pitch angle of the map (in degrees,
-                where 0 means perpendicular to the surface of
-                the map) (mapbox.pitch).
-            style
-                Defines the map layers that are rendered by
-                default below the trace layers defined in
-                `data`, which are themselves by default
-                rendered below the layers defined in
-                `layout.mapbox.layers`.  These layers can be
-                defined either explicitly as a Mapbox Style
-                object which can contain multiple layer
-                definitions that load data from any public or
-                private Tile Map Service (TMS or XYZ) or Web
-                Map Service (WMS) or implicitly by using one of
-                the built-in style objects which use WMSes
-                which do not require any access tokens, or by
-                using a default Mapbox style or custom Mapbox
-                style URL, both of which require a Mapbox
-                access token  Note that Mapbox access token can
-                be set in the `accesstoken` attribute or in the
-                `mapboxAccessToken` config option.  Mapbox
-                Style objects are of the form described in the
-                Mapbox GL JS documentation available at
-                https://docs.mapbox.com/mapbox-gl-js/style-spec
-                The built-in plotly.js styles objects are:
-                open-street-map, white-bg, carto-positron,
-                carto-darkmatter, stamen-terrain, stamen-toner,
-                stamen-watercolor  The built-in Mapbox styles
-                are: basic, streets, outdoors, light, dark,
-                satellite, satellite-streets  Mapbox style URLs
-                are of the form:
-                mapbox://mapbox.mapbox-<name>-<version>
-            uirevision
-                Controls persistence of user-driven changes in
-                the view: `center`, `zoom`, `bearing`, `pitch`.
-                Defaults to `layout.uirevision`.
-            zoom
-                Sets the zoom level of the map (mapbox.zoom).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="legend", parent_name="layout", **kwargs):
-        super(LegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Legend"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the legend background color. Defaults to
-                `layout.paper_bgcolor`.
-            bordercolor
-                Sets the color of the border enclosing the
-                legend.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the legend.
-            font
-                Sets the font used to text the legend items.
-            itemclick
-                Determines the behavior on legend item click.
-                "toggle" toggles the visibility of the item
-                clicked on the graph. "toggleothers" makes the
-                clicked item the sole visible item on the
-                graph. False disable legend item click
-                interactions.
-            itemdoubleclick
-                Determines the behavior on legend item double-
-                click. "toggle" toggles the visibility of the
-                item clicked on the graph. "toggleothers" makes
-                the clicked item the sole visible item on the
-                graph. False disable legend item double-click
-                interactions.
-            itemsizing
-                Determines if the legend items symbols scale
-                with their corresponding "trace" attributes or
-                remain "constant" independent of the symbol
-                size on the graph.
-            orientation
-                Sets the orientation of the legend.
-            title
-                :class:`plotly.graph_objects.layout.legend.Titl
-                e` instance or dict with compatible properties
-            tracegroupgap
-                Sets the amount of vertical space (in px)
-                between legend groups.
-            traceorder
-                Determines the order at which the legend items
-                are displayed. If "normal", the items are
-                displayed top-to-bottom in the same order as
-                the input data. If "reversed", the items are
-                displayed in the opposite order as "normal". If
-                "grouped", the items are displayed in groups
-                (when a trace `legendgroup` is provided). if
-                "grouped+reversed", the items are displayed in
-                the opposite order as "grouped".
-            uirevision
-                Controls persistence of legend-driven changes
-                in trace and pie label visibility. Defaults to
-                `layout.uirevision`.
-            valign
-                Sets the vertical alignment of the symbols with
-                respect to their associated text.
-            x
-                Sets the x position (in normalized coordinates)
-                of the legend. Defaults to 1.02 for vertical
-                legends and defaults to 0 for horizontal
-                legends.
-            xanchor
-                Sets the legend's horizontal position anchor.
-                This anchor binds the `x` position to the
-                "left", "center" or "right" of the legend.
-                Value "auto" anchors legends to the right for
-                `x` values greater than or equal to 2/3,
-                anchors legends to the left for `x` values less
-                than or equal to 1/3 and anchors legends with
-                respect to their center otherwise.
-            y
-                Sets the y position (in normalized coordinates)
-                of the legend. Defaults to 1 for vertical
-                legends, defaults to "-0.1" for horizontal
-                legends on graphs w/o range sliders and
-                defaults to 1.1 for horizontal legends on graph
-                with one or multiple range sliders.
-            yanchor
-                Sets the legend's vertical position anchor This
-                anchor binds the `y` position to the "top",
-                "middle" or "bottom" of the legend. Value
-                "auto" anchors legends at their bottom for `y`
-                values less than or equal to 1/3, anchors
-                legends to at their top for `y` values greater
-                than or equal to 2/3 and anchors legends with
-                respect to their middle otherwise.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ImageValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="imagedefaults", parent_name="layout", **kwargs):
-        super(ImageValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Image"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ImagesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="images", parent_name="layout", **kwargs):
-        super(ImagesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Image"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            layer
-                Specifies whether images are drawn below or
-                above traces. When `xref` and `yref` are both
-                set to `paper`, image is drawn below the entire
-                plot area.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            opacity
-                Sets the opacity of the image.
-            sizex
-                Sets the image container size horizontally. The
-                image will be sized based on the `position`
-                value. When `xref` is set to `paper`, units are
-                sized relative to the plot width.
-            sizey
-                Sets the image container size vertically. The
-                image will be sized based on the `position`
-                value. When `yref` is set to `paper`, units are
-                sized relative to the plot height.
-            sizing
-                Specifies which dimension of the image to
-                constrain.
-            source
-                Specifies the URL of the image to be used. The
-                URL must be accessible from the domain where
-                the plot code is run, and can be either
-                relative or absolute.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            visible
-                Determines whether or not this image is
-                visible.
-            x
-                Sets the image's x position. When `xref` is set
-                to `paper`, units are sized relative to the
-                plot height. See `xref` for more info
-            xanchor
-                Sets the anchor for the x position
-            xref
-                Sets the images's x coordinate axis. If set to
-                a x axis id (e.g. "x" or "x2"), the `x`
-                position refers to an x data coordinate If set
-                to "paper", the `x` position refers to the
-                distance from the left of plot in normalized
-                coordinates where 0 (1) corresponds to the left
-                (right).
-            y
-                Sets the image's y position. When `yref` is set
-                to `paper`, units are sized relative to the
-                plot height. See `yref` for more info
-            yanchor
-                Sets the anchor for the y position.
-            yref
-                Sets the images's y coordinate axis. If set to
-                a y axis id (e.g. "y" or "y2"), the `y`
-                position refers to a y data coordinate. If set
-                to "paper", the `y` position refers to the
-                distance from the bottom of the plot in
-                normalized coordinates where 0 (1) corresponds
-                to the bottom (top).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovermodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="hovermode", parent_name="layout", **kwargs):
-        super(HovermodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["x", "y", "closest", False, "x unified", "y unified"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="layout", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            bgcolor
-                Sets the background color of all hover labels
-                on graph
-            bordercolor
-                Sets the border color of all hover labels on
-                graph.
-            font
-                Sets the default hover label font used by all
-                traces on the graph.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverdistanceValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="hoverdistance", parent_name="layout", **kwargs):
-        super(HoverdistanceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HidesourcesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="hidesources", parent_name="layout", **kwargs):
-        super(HidesourcesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HiddenlabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hiddenlabelssrc", parent_name="layout", **kwargs):
-        super(HiddenlabelssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HiddenlabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="hiddenlabels", parent_name="layout", **kwargs):
-        super(HiddenlabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="height", parent_name="layout", **kwargs):
-        super(HeightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 10),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="grid", parent_name="layout", **kwargs):
-        super(GridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Grid"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            columns
-                The number of columns in the grid. If you
-                provide a 2D `subplots` array, the length of
-                its longest row is used as the default. If you
-                give an `xaxes` array, its length is used as
-                the default. But it's also possible to have a
-                different length, if you want to leave a row at
-                the end for non-cartesian subplots.
-            domain
-                :class:`plotly.graph_objects.layout.grid.Domain
-                ` instance or dict with compatible properties
-            pattern
-                If no `subplots`, `xaxes`, or `yaxes` are given
-                but we do have `rows` and `columns`, we can
-                generate defaults using consecutive axis IDs,
-                in two ways: "coupled" gives one x axis per
-                column and one y axis per row. "independent"
-                uses a new xy pair for each cell, left-to-right
-                across each row then iterating rows according
-                to `roworder`.
-            roworder
-                Is the first row the top or the bottom? Note
-                that columns are always enumerated from left to
-                right.
-            rows
-                The number of rows in the grid. If you provide
-                a 2D `subplots` array or a `yaxes` array, its
-                length is used as the default. But it's also
-                possible to have a different length, if you
-                want to leave a row at the end for non-
-                cartesian subplots.
-            subplots
-                Used for freeform grids, where some axes may be
-                shared across subplots but others are not. Each
-                entry should be a cartesian subplot id, like
-                "xy" or "x3y2", or "" to leave that cell empty.
-                You may reuse x axes within the same column,
-                and y axes within the same row. Non-cartesian
-                subplots and traces that support `domain` can
-                place themselves in this grid separately using
-                the `gridcell` attribute.
-            xaxes
-                Used with `yaxes` when the x and y axes are
-                shared across columns and rows. Each entry
-                should be an x axis id like "x", "x2", etc., or
-                "" to not put an x axis in that column. Entries
-                other than "" must be unique. Ignored if
-                `subplots` is present. If missing but `yaxes`
-                is present, will generate consecutive IDs.
-            xgap
-                Horizontal space between grid cells, expressed
-                as a fraction of the total width available to
-                one cell. Defaults to 0.1 for coupled-axes
-                grids and 0.2 for independent grids.
-            xside
-                Sets where the x axis labels and titles go.
-                "bottom" means the very bottom of the grid.
-                "bottom plot" is the lowest plot that each x
-                axis is used in. "top" and "top plot" are
-                similar.
-            yaxes
-                Used with `yaxes` when the x and y axes are
-                shared across columns and rows. Each entry
-                should be an y axis id like "y", "y2", etc., or
-                "" to not put a y axis in that row. Entries
-                other than "" must be unique. Ignored if
-                `subplots` is present. If missing but `xaxes`
-                is present, will generate consecutive IDs.
-            ygap
-                Vertical space between grid cells, expressed as
-                a fraction of the total height available to one
-                cell. Defaults to 0.1 for coupled-axes grids
-                and 0.3 for independent grids.
-            yside
-                Sets where the y axis labels and titles go.
-                "left" means the very left edge of the grid.
-                *left plot* is the leftmost plot that each y
-                axis is used in. "right" and *right plot* are
-                similar.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GeoValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="geo", parent_name="layout", **kwargs):
-        super(GeoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Geo"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Set the background color of the map
-            center
-                :class:`plotly.graph_objects.layout.geo.Center`
-                instance or dict with compatible properties
-            coastlinecolor
-                Sets the coastline color.
-            coastlinewidth
-                Sets the coastline stroke width (in px).
-            countrycolor
-                Sets line color of the country boundaries.
-            countrywidth
-                Sets line width (in px) of the country
-                boundaries.
-            domain
-                :class:`plotly.graph_objects.layout.geo.Domain`
-                instance or dict with compatible properties
-            fitbounds
-                Determines if this subplot's view settings are
-                auto-computed to fit trace data. On scoped
-                maps, setting `fitbounds` leads to `center.lon`
-                and `center.lat` getting auto-filled. On maps
-                with a non-clipped projection, setting
-                `fitbounds` leads to `center.lon`,
-                `center.lat`, and `projection.rotation.lon`
-                getting auto-filled. On maps with a clipped
-                projection, setting `fitbounds` leads to
-                `center.lon`, `center.lat`,
-                `projection.rotation.lon`,
-                `projection.rotation.lat`, `lonaxis.range` and
-                `lonaxis.range` getting auto-filled. If
-                "locations", only the trace's visible locations
-                are considered in the `fitbounds` computations.
-                If "geojson", the entire trace input `geojson`
-                (if provided) is considered in the `fitbounds`
-                computations, Defaults to False.
-            framecolor
-                Sets the color the frame.
-            framewidth
-                Sets the stroke width (in px) of the frame.
-            lakecolor
-                Sets the color of the lakes.
-            landcolor
-                Sets the land mass color.
-            lataxis
-                :class:`plotly.graph_objects.layout.geo.Lataxis
-                ` instance or dict with compatible properties
-            lonaxis
-                :class:`plotly.graph_objects.layout.geo.Lonaxis
-                ` instance or dict with compatible properties
-            oceancolor
-                Sets the ocean color
-            projection
-                :class:`plotly.graph_objects.layout.geo.Project
-                ion` instance or dict with compatible
-                properties
-            resolution
-                Sets the resolution of the base layers. The
-                values have units of km/mm e.g. 110 corresponds
-                to a scale ratio of 1:110,000,000.
-            rivercolor
-                Sets color of the rivers.
-            riverwidth
-                Sets the stroke width (in px) of the rivers.
-            scope
-                Set the scope of the map.
-            showcoastlines
-                Sets whether or not the coastlines are drawn.
-            showcountries
-                Sets whether or not country boundaries are
-                drawn.
-            showframe
-                Sets whether or not a frame is drawn around the
-                map.
-            showlakes
-                Sets whether or not lakes are drawn.
-            showland
-                Sets whether or not land masses are filled in
-                color.
-            showocean
-                Sets whether or not oceans are filled in color.
-            showrivers
-                Sets whether or not rivers are drawn.
-            showsubunits
-                Sets whether or not boundaries of subunits
-                within countries (e.g. states, provinces) are
-                drawn.
-            subunitcolor
-                Sets the color of the subunits boundaries.
-            subunitwidth
-                Sets the stroke width (in px) of the subunits
-                boundaries.
-            uirevision
-                Controls persistence of user-driven changes in
-                the view (projection and center). Defaults to
-                `layout.uirevision`.
-            visible
-                Sets the default visibility of the base layers.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="funnelmode", parent_name="layout", **kwargs):
-        super(FunnelmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["stack", "group", "overlay"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="funnelgroupgap", parent_name="layout", **kwargs):
-        super(FunnelgroupgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="funnelgap", parent_name="layout", **kwargs):
-        super(FunnelgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelareacolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
-    def __init__(
-        self, plotly_name="funnelareacolorway", parent_name="layout", **kwargs
-    ):
-        super(FunnelareacolorwayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExtendtreemapcolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="extendtreemapcolors", parent_name="layout", **kwargs
-    ):
-        super(ExtendtreemapcolorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExtendsunburstcolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="extendsunburstcolors", parent_name="layout", **kwargs
-    ):
-        super(ExtendsunburstcolorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExtendpiecolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="extendpiecolors", parent_name="layout", **kwargs):
-        super(ExtendpiecolorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExtendfunnelareacolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="extendfunnelareacolors", parent_name="layout", **kwargs
-    ):
-        super(ExtendfunnelareacolorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EditrevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="editrevision", parent_name="layout", **kwargs):
-        super(EditrevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DragmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="dragmode", parent_name="layout", **kwargs):
-        super(DragmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["zoom", "pan", "select", "lasso", "orbit", "turntable", False],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="direction", parent_name="layout", **kwargs):
-        super(DirectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["clockwise", "counterclockwise"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DatarevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="datarevision", parent_name="layout", **kwargs):
-        super(DatarevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
-    def __init__(self, plotly_name="colorway", parent_name="layout", **kwargs):
-        super(ColorwayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="layout", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Colorscale"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            diverging
-                Sets the default diverging colorscale. Note
-                that `autocolorscale` must be true for this
-                attribute to work.
-            sequential
-                Sets the default sequential colorscale for
-                positive values. Note that `autocolorscale`
-                must be true for this attribute to work.
-            sequentialminus
-                Sets the default sequential colorscale for
-                negative values. Note that `autocolorscale`
-                must be true for this attribute to work.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="layout", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Coloraxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `colorscale`. In case
-                `colorscale` is unspecified or `autocolorscale`
-                is true, the default  palette will be chosen
-                according to whether numbers in the `color`
-                array are all positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                corresponding trace color array(s)) or the
-                bounds set in `cmin` and `cmax`  Defaults to
-                `false` when `cmin` and `cmax` are set by the
-                user.
-            cmax
-                Sets the upper bound of the color domain. Value
-                should have the same units as corresponding
-                trace color array(s) and if set, `cmin` must be
-                set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `cmin` and/or `cmax` to be equidistant
-                to this point. Value should have the same units
-                as corresponding trace color array(s). Has no
-                effect when `cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Value
-                should have the same units as corresponding
-                trace color array(s) and if set, `cmax` must be
-                set as well.
-            colorbar
-                :class:`plotly.graph_objects.layout.coloraxis.C
-                olorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            reversescale
-                Reverses the color mapping if true. If true,
-                `cmin` will correspond to the last color in the
-                array and `cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ClickmodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="clickmode", parent_name="layout", **kwargs):
-        super(ClickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["event", "select"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="calendar", parent_name="layout", **kwargs):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="boxmode", parent_name="layout", **kwargs):
-        super(BoxmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["group", "overlay"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="boxgroupgap", parent_name="layout", **kwargs):
-        super(BoxgroupgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="boxgap", parent_name="layout", **kwargs):
-        super(BoxgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="barnorm", parent_name="layout", **kwargs):
-        super(BarnormValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["", "fraction", "percent"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="barmode", parent_name="layout", **kwargs):
-        super(BarmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["stack", "group", "overlay", "relative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BargroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="bargroupgap", parent_name="layout", **kwargs):
-        super(BargroupgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BargapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="bargap", parent_name="layout", **kwargs):
-        super(BargapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutosizeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autosize", parent_name="layout", **kwargs):
-        super(AutosizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnnotationValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="annotationdefaults", parent_name="layout", **kwargs
-    ):
-        super(AnnotationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Annotation"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnnotationsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="annotations", parent_name="layout", **kwargs):
-        super(AnnotationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Annotation"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the `text`
-                within the box. Has an effect only if `text`
-                spans two or more lines (i.e. `text` contains
-                one or more <br> HTML tags) or if an explicit
-                width is set to override the text width.
-            arrowcolor
-                Sets the color of the annotation arrow.
-            arrowhead
-                Sets the end annotation arrow head style.
-            arrowside
-                Sets the annotation arrow head position.
-            arrowsize
-                Sets the size of the end annotation arrow head,
-                relative to `arrowwidth`. A value of 1
-                (default) gives a head about 3x as wide as the
-                line.
-            arrowwidth
-                Sets the width (in px) of annotation arrow
-                line.
-            ax
-                Sets the x component of the arrow tail about
-                the arrow head. If `axref` is `pixel`, a
-                positive (negative)  component corresponds to
-                an arrow pointing from right to left (left to
-                right). If `axref` is an axis, this is an
-                absolute value on that axis, like `x`, NOT a
-                relative value.
-            axref
-                Indicates in what terms the tail of the
-                annotation (ax,ay)  is specified. If `pixel`,
-                `ax` is a relative offset in pixels  from `x`.
-                If set to an x axis id (e.g. "x" or "x2"), `ax`
-                is  specified in the same terms as that axis.
-                This is useful  for trendline annotations which
-                should continue to indicate  the correct trend
-                when zoomed.
-            ay
-                Sets the y component of the arrow tail about
-                the arrow head. If `ayref` is `pixel`, a
-                positive (negative)  component corresponds to
-                an arrow pointing from bottom to top (top to
-                bottom). If `ayref` is an axis, this is an
-                absolute value on that axis, like `y`, NOT a
-                relative value.
-            ayref
-                Indicates in what terms the tail of the
-                annotation (ax,ay)  is specified. If `pixel`,
-                `ay` is a relative offset in pixels  from `y`.
-                If set to a y axis id (e.g. "y" or "y2"), `ay`
-                is  specified in the same terms as that axis.
-                This is useful  for trendline annotations which
-                should continue to indicate  the correct trend
-                when zoomed.
-            bgcolor
-                Sets the background color of the annotation.
-            bordercolor
-                Sets the color of the border enclosing the
-                annotation `text`.
-            borderpad
-                Sets the padding (in px) between the `text` and
-                the enclosing border.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the annotation `text`.
-            captureevents
-                Determines whether the annotation text box
-                captures mouse move and click events, or allows
-                those events to pass through to data points in
-                the plot that may be behind the annotation. By
-                default `captureevents` is False unless
-                `hovertext` is provided. If you use the event
-                `plotly_clickannotation` without `hovertext`
-                you must explicitly enable `captureevents`.
-            clicktoshow
-                Makes this annotation respond to clicks on the
-                plot. If you click a data point that exactly
-                matches the `x` and `y` values of this
-                annotation, and it is hidden (visible: false),
-                it will appear. In "onoff" mode, you must click
-                the same point again to make it disappear, so
-                if you click multiple points, you can show
-                multiple annotations. In "onout" mode, a click
-                anywhere else in the plot (on another data
-                point or not) will hide this annotation. If you
-                need to show/hide this annotation in response
-                to different `x` or `y` values, you can set
-                `xclick` and/or `yclick`. This is useful for
-                example to label the side of a bar. To label
-                markers though, `standoff` is preferred over
-                `xclick` and `yclick`.
-            font
-                Sets the annotation text font.
-            height
-                Sets an explicit height for the text box. null
-                (default) lets the text set the box height.
-                Taller text will be clipped.
-            hoverlabel
-                :class:`plotly.graph_objects.layout.annotation.
-                Hoverlabel` instance or dict with compatible
-                properties
-            hovertext
-                Sets text to appear when hovering over this
-                annotation. If omitted or blank, no hover label
-                will appear.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            opacity
-                Sets the opacity of the annotation (text +
-                arrow).
-            showarrow
-                Determines whether or not the annotation is
-                drawn with an arrow. If True, `text` is placed
-                near the arrow's tail. If False, `text` lines
-                up with the `x` and `y` provided.
-            standoff
-                Sets a distance, in pixels, to move the end
-                arrowhead away from the position it is pointing
-                at, for example to point at the edge of a
-                marker independent of zoom. Note that this
-                shortens the arrow from the `ax` / `ay` vector,
-                in contrast to `xshift` / `yshift` which moves
-                everything by this amount.
-            startarrowhead
-                Sets the start annotation arrow head style.
-            startarrowsize
-                Sets the size of the start annotation arrow
-                head, relative to `arrowwidth`. A value of 1
-                (default) gives a head about 3x as wide as the
-                line.
-            startstandoff
-                Sets a distance, in pixels, to move the start
-                arrowhead away from the position it is pointing
-                at, for example to point at the edge of a
-                marker independent of zoom. Note that this
-                shortens the arrow from the `ax` / `ay` vector,
-                in contrast to `xshift` / `yshift` which moves
-                everything by this amount.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            text
-                Sets the text associated with this annotation.
-                Plotly uses a subset of HTML tags to do things
-                like newline (<br>), bold (<b></b>), italics
-                (<i></i>), hyperlinks (<a href='...'></a>).
-                Tags <em>, <sup>, <sub> <span> are also
-                supported.
-            textangle
-                Sets the angle at which the `text` is drawn
-                with respect to the horizontal.
-            valign
-                Sets the vertical alignment of the `text`
-                within the box. Has an effect only if an
-                explicit height is set to override the text
-                height.
-            visible
-                Determines whether or not this annotation is
-                visible.
-            width
-                Sets an explicit width for the text box. null
-                (default) lets the text set the box width.
-                Wider text will be clipped. There is no
-                automatic wrapping; use <br> to start a new
-                line.
-            x
-                Sets the annotation's x position. If the axis
-                `type` is "log", then you must take the log of
-                your desired range. If the axis `type` is
-                "date", it should be date strings, like date
-                data, though Date objects and unix milliseconds
-                will be accepted and converted to strings. If
-                the axis `type` is "category", it should be
-                numbers, using the scale where each category is
-                assigned a serial number from zero in the order
-                it appears.
-            xanchor
-                Sets the text box's horizontal position anchor
-                This anchor binds the `x` position to the
-                "left", "center" or "right" of the annotation.
-                For example, if `x` is set to 1, `xref` to
-                "paper" and `xanchor` to "right" then the
-                right-most portion of the annotation lines up
-                with the right-most edge of the plotting area.
-                If "auto", the anchor is equivalent to "center"
-                for data-referenced annotations or if there is
-                an arrow, whereas for paper-referenced with no
-                arrow, the anchor picked corresponds to the
-                closest side.
-            xclick
-                Toggle this annotation when clicking a data
-                point whose `x` value is `xclick` rather than
-                the annotation's `x` value.
-            xref
-                Sets the annotation's x coordinate axis. If set
-                to an x axis id (e.g. "x" or "x2"), the `x`
-                position refers to an x coordinate If set to
-                "paper", the `x` position refers to the
-                distance from the left side of the plotting
-                area in normalized coordinates where 0 (1)
-                corresponds to the left (right) side.
-            xshift
-                Shifts the position of the whole annotation and
-                arrow to the right (positive) or left
-                (negative) by this many pixels.
-            y
-                Sets the annotation's y position. If the axis
-                `type` is "log", then you must take the log of
-                your desired range. If the axis `type` is
-                "date", it should be date strings, like date
-                data, though Date objects and unix milliseconds
-                will be accepted and converted to strings. If
-                the axis `type` is "category", it should be
-                numbers, using the scale where each category is
-                assigned a serial number from zero in the order
-                it appears.
-            yanchor
-                Sets the text box's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the annotation.
-                For example, if `y` is set to 1, `yref` to
-                "paper" and `yanchor` to "top" then the top-
-                most portion of the annotation lines up with
-                the top-most edge of the plotting area. If
-                "auto", the anchor is equivalent to "middle"
-                for data-referenced annotations or if there is
-                an arrow, whereas for paper-referenced with no
-                arrow, the anchor picked corresponds to the
-                closest side.
-            yclick
-                Toggle this annotation when clicking a data
-                point whose `y` value is `yclick` rather than
-                the annotation's `y` value.
-            yref
-                Sets the annotation's y coordinate axis. If set
-                to an y axis id (e.g. "y" or "y2"), the `y`
-                position refers to an y coordinate If set to
-                "paper", the `y` position refers to the
-                distance from the bottom of the plotting area
-                in normalized coordinates where 0 (1)
-                corresponds to the bottom (top).
-            yshift
-                Shifts the position of the whole annotation and
-                arrow up (positive) or down (negative) by this
-                many pixels.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AngularAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="angularaxis", parent_name="layout", **kwargs):
-        super(AngularAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "AngularAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            domain
-                Polar chart subplots are not supported yet.
-                This key has currently no effect.
-            endpadding
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots.
-            range
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Defines the start
-                and end point of this angular axis.
-            showline
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Determines whether
-                or not the line bounding this angular axis will
-                be shown on the figure.
-            showticklabels
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Determines whether
-                or not the angular axis ticks will feature tick
-                labels.
-            tickcolor
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the color of
-                the tick lines on this angular axis.
-            ticklen
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the length of
-                the tick lines on this angular axis.
-            tickorientation
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the
-                orientation (from the paper perspective) of the
-                angular axis tick labels.
-            ticksuffix
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Sets the length of
-                the tick lines on this angular axis.
-            visible
-                Legacy polar charts are deprecated! Please
-                switch to "polar" subplots. Determines whether
-                or not this axis will be visible.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxis import YaxisValidator
+    from ._xaxis import XaxisValidator
+    from ._width import WidthValidator
+    from ._waterfallmode import WaterfallmodeValidator
+    from ._waterfallgroupgap import WaterfallgroupgapValidator
+    from ._waterfallgap import WaterfallgapValidator
+    from ._violinmode import ViolinmodeValidator
+    from ._violingroupgap import ViolingroupgapValidator
+    from ._violingap import ViolingapValidator
+    from ._updatemenudefaults import UpdatemenudefaultsValidator
+    from ._updatemenus import UpdatemenusValidator
+    from ._uniformtext import UniformtextValidator
+    from ._uirevision import UirevisionValidator
+    from ._treemapcolorway import TreemapcolorwayValidator
+    from ._transition import TransitionValidator
+    from ._title import TitleValidator
+    from ._ternary import TernaryValidator
+    from ._template import TemplateValidator
+    from ._sunburstcolorway import SunburstcolorwayValidator
+    from ._spikedistance import SpikedistanceValidator
+    from ._sliderdefaults import SliderdefaultsValidator
+    from ._sliders import SlidersValidator
+    from ._showlegend import ShowlegendValidator
+    from ._shapedefaults import ShapedefaultsValidator
+    from ._shapes import ShapesValidator
+    from ._separators import SeparatorsValidator
+    from ._selectionrevision import SelectionrevisionValidator
+    from ._selectdirection import SelectdirectionValidator
+    from ._scene import SceneValidator
+    from ._radialaxis import RadialaxisValidator
+    from ._polar import PolarValidator
+    from ._plot_bgcolor import Plot_BgcolorValidator
+    from ._piecolorway import PiecolorwayValidator
+    from ._paper_bgcolor import Paper_BgcolorValidator
+    from ._orientation import OrientationValidator
+    from ._modebar import ModebarValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._margin import MarginValidator
+    from ._mapbox import MapboxValidator
+    from ._legend import LegendValidator
+    from ._imagedefaults import ImagedefaultsValidator
+    from ._images import ImagesValidator
+    from ._hovermode import HovermodeValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverdistance import HoverdistanceValidator
+    from ._hidesources import HidesourcesValidator
+    from ._hiddenlabelssrc import HiddenlabelssrcValidator
+    from ._hiddenlabels import HiddenlabelsValidator
+    from ._height import HeightValidator
+    from ._grid import GridValidator
+    from ._geo import GeoValidator
+    from ._funnelmode import FunnelmodeValidator
+    from ._funnelgroupgap import FunnelgroupgapValidator
+    from ._funnelgap import FunnelgapValidator
+    from ._funnelareacolorway import FunnelareacolorwayValidator
+    from ._font import FontValidator
+    from ._extendtreemapcolors import ExtendtreemapcolorsValidator
+    from ._extendsunburstcolors import ExtendsunburstcolorsValidator
+    from ._extendpiecolors import ExtendpiecolorsValidator
+    from ._extendfunnelareacolors import ExtendfunnelareacolorsValidator
+    from ._editrevision import EditrevisionValidator
+    from ._dragmode import DragmodeValidator
+    from ._direction import DirectionValidator
+    from ._datarevision import DatarevisionValidator
+    from ._colorway import ColorwayValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._clickmode import ClickmodeValidator
+    from ._calendar import CalendarValidator
+    from ._boxmode import BoxmodeValidator
+    from ._boxgroupgap import BoxgroupgapValidator
+    from ._boxgap import BoxgapValidator
+    from ._barnorm import BarnormValidator
+    from ._barmode import BarmodeValidator
+    from ._bargroupgap import BargroupgapValidator
+    from ._bargap import BargapValidator
+    from ._autosize import AutosizeValidator
+    from ._annotationdefaults import AnnotationdefaultsValidator
+    from ._annotations import AnnotationsValidator
+    from ._angularaxis import AngularaxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yaxis.YaxisValidator",
+            "._xaxis.XaxisValidator",
+            "._width.WidthValidator",
+            "._waterfallmode.WaterfallmodeValidator",
+            "._waterfallgroupgap.WaterfallgroupgapValidator",
+            "._waterfallgap.WaterfallgapValidator",
+            "._violinmode.ViolinmodeValidator",
+            "._violingroupgap.ViolingroupgapValidator",
+            "._violingap.ViolingapValidator",
+            "._updatemenudefaults.UpdatemenudefaultsValidator",
+            "._updatemenus.UpdatemenusValidator",
+            "._uniformtext.UniformtextValidator",
+            "._uirevision.UirevisionValidator",
+            "._treemapcolorway.TreemapcolorwayValidator",
+            "._transition.TransitionValidator",
+            "._title.TitleValidator",
+            "._ternary.TernaryValidator",
+            "._template.TemplateValidator",
+            "._sunburstcolorway.SunburstcolorwayValidator",
+            "._spikedistance.SpikedistanceValidator",
+            "._sliderdefaults.SliderdefaultsValidator",
+            "._sliders.SlidersValidator",
+            "._showlegend.ShowlegendValidator",
+            "._shapedefaults.ShapedefaultsValidator",
+            "._shapes.ShapesValidator",
+            "._separators.SeparatorsValidator",
+            "._selectionrevision.SelectionrevisionValidator",
+            "._selectdirection.SelectdirectionValidator",
+            "._scene.SceneValidator",
+            "._radialaxis.RadialaxisValidator",
+            "._polar.PolarValidator",
+            "._plot_bgcolor.Plot_BgcolorValidator",
+            "._piecolorway.PiecolorwayValidator",
+            "._paper_bgcolor.Paper_BgcolorValidator",
+            "._orientation.OrientationValidator",
+            "._modebar.ModebarValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._margin.MarginValidator",
+            "._mapbox.MapboxValidator",
+            "._legend.LegendValidator",
+            "._imagedefaults.ImagedefaultsValidator",
+            "._images.ImagesValidator",
+            "._hovermode.HovermodeValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverdistance.HoverdistanceValidator",
+            "._hidesources.HidesourcesValidator",
+            "._hiddenlabelssrc.HiddenlabelssrcValidator",
+            "._hiddenlabels.HiddenlabelsValidator",
+            "._height.HeightValidator",
+            "._grid.GridValidator",
+            "._geo.GeoValidator",
+            "._funnelmode.FunnelmodeValidator",
+            "._funnelgroupgap.FunnelgroupgapValidator",
+            "._funnelgap.FunnelgapValidator",
+            "._funnelareacolorway.FunnelareacolorwayValidator",
+            "._font.FontValidator",
+            "._extendtreemapcolors.ExtendtreemapcolorsValidator",
+            "._extendsunburstcolors.ExtendsunburstcolorsValidator",
+            "._extendpiecolors.ExtendpiecolorsValidator",
+            "._extendfunnelareacolors.ExtendfunnelareacolorsValidator",
+            "._editrevision.EditrevisionValidator",
+            "._dragmode.DragmodeValidator",
+            "._direction.DirectionValidator",
+            "._datarevision.DatarevisionValidator",
+            "._colorway.ColorwayValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._clickmode.ClickmodeValidator",
+            "._calendar.CalendarValidator",
+            "._boxmode.BoxmodeValidator",
+            "._boxgroupgap.BoxgroupgapValidator",
+            "._boxgap.BoxgapValidator",
+            "._barnorm.BarnormValidator",
+            "._barmode.BarmodeValidator",
+            "._bargroupgap.BargroupgapValidator",
+            "._bargap.BargapValidator",
+            "._autosize.AutosizeValidator",
+            "._annotationdefaults.AnnotationdefaultsValidator",
+            "._annotations.AnnotationsValidator",
+            "._angularaxis.AngularaxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/_angularaxis.py b/packages/python/plotly/plotly/validators/layout/_angularaxis.py
new file mode 100644
index 00000000000..c7b0f6b9ad1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_angularaxis.py
@@ -0,0 +1,57 @@
+import _plotly_utils.basevalidators
+
+
+class AngularaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="angularaxis", parent_name="layout", **kwargs):
+        super(AngularaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "AngularAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            domain
+                Polar chart subplots are not supported yet.
+                This key has currently no effect.
+            endpadding
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots.
+            range
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Defines the start
+                and end point of this angular axis.
+            showline
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Determines whether
+                or not the line bounding this angular axis will
+                be shown on the figure.
+            showticklabels
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Determines whether
+                or not the angular axis ticks will feature tick
+                labels.
+            tickcolor
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the color of
+                the tick lines on this angular axis.
+            ticklen
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the length of
+                the tick lines on this angular axis.
+            tickorientation
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the
+                orientation (from the paper perspective) of the
+                angular axis tick labels.
+            ticksuffix
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the length of
+                the tick lines on this angular axis.
+            visible
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Determines whether
+                or not this axis will be visible.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_annotationdefaults.py b/packages/python/plotly/plotly/validators/layout/_annotationdefaults.py
new file mode 100644
index 00000000000..5d4997eb0bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_annotationdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AnnotationdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="annotationdefaults", parent_name="layout", **kwargs
+    ):
+        super(AnnotationdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Annotation"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_annotations.py b/packages/python/plotly/plotly/validators/layout/_annotations.py
new file mode 100644
index 00000000000..7007ecac571
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_annotations.py
@@ -0,0 +1,277 @@
+import _plotly_utils.basevalidators
+
+
+class AnnotationsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="annotations", parent_name="layout", **kwargs):
+        super(AnnotationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Annotation"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the `text`
+                within the box. Has an effect only if `text`
+                spans two or more lines (i.e. `text` contains
+                one or more <br> HTML tags) or if an explicit
+                width is set to override the text width.
+            arrowcolor
+                Sets the color of the annotation arrow.
+            arrowhead
+                Sets the end annotation arrow head style.
+            arrowside
+                Sets the annotation arrow head position.
+            arrowsize
+                Sets the size of the end annotation arrow head,
+                relative to `arrowwidth`. A value of 1
+                (default) gives a head about 3x as wide as the
+                line.
+            arrowwidth
+                Sets the width (in px) of annotation arrow
+                line.
+            ax
+                Sets the x component of the arrow tail about
+                the arrow head. If `axref` is `pixel`, a
+                positive (negative)  component corresponds to
+                an arrow pointing from right to left (left to
+                right). If `axref` is an axis, this is an
+                absolute value on that axis, like `x`, NOT a
+                relative value.
+            axref
+                Indicates in what terms the tail of the
+                annotation (ax,ay)  is specified. If `pixel`,
+                `ax` is a relative offset in pixels  from `x`.
+                If set to an x axis id (e.g. "x" or "x2"), `ax`
+                is  specified in the same terms as that axis.
+                This is useful  for trendline annotations which
+                should continue to indicate  the correct trend
+                when zoomed.
+            ay
+                Sets the y component of the arrow tail about
+                the arrow head. If `ayref` is `pixel`, a
+                positive (negative)  component corresponds to
+                an arrow pointing from bottom to top (top to
+                bottom). If `ayref` is an axis, this is an
+                absolute value on that axis, like `y`, NOT a
+                relative value.
+            ayref
+                Indicates in what terms the tail of the
+                annotation (ax,ay)  is specified. If `pixel`,
+                `ay` is a relative offset in pixels  from `y`.
+                If set to a y axis id (e.g. "y" or "y2"), `ay`
+                is  specified in the same terms as that axis.
+                This is useful  for trendline annotations which
+                should continue to indicate  the correct trend
+                when zoomed.
+            bgcolor
+                Sets the background color of the annotation.
+            bordercolor
+                Sets the color of the border enclosing the
+                annotation `text`.
+            borderpad
+                Sets the padding (in px) between the `text` and
+                the enclosing border.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the annotation `text`.
+            captureevents
+                Determines whether the annotation text box
+                captures mouse move and click events, or allows
+                those events to pass through to data points in
+                the plot that may be behind the annotation. By
+                default `captureevents` is False unless
+                `hovertext` is provided. If you use the event
+                `plotly_clickannotation` without `hovertext`
+                you must explicitly enable `captureevents`.
+            clicktoshow
+                Makes this annotation respond to clicks on the
+                plot. If you click a data point that exactly
+                matches the `x` and `y` values of this
+                annotation, and it is hidden (visible: false),
+                it will appear. In "onoff" mode, you must click
+                the same point again to make it disappear, so
+                if you click multiple points, you can show
+                multiple annotations. In "onout" mode, a click
+                anywhere else in the plot (on another data
+                point or not) will hide this annotation. If you
+                need to show/hide this annotation in response
+                to different `x` or `y` values, you can set
+                `xclick` and/or `yclick`. This is useful for
+                example to label the side of a bar. To label
+                markers though, `standoff` is preferred over
+                `xclick` and `yclick`.
+            font
+                Sets the annotation text font.
+            height
+                Sets an explicit height for the text box. null
+                (default) lets the text set the box height.
+                Taller text will be clipped.
+            hoverlabel
+                :class:`plotly.graph_objects.layout.annotation.
+                Hoverlabel` instance or dict with compatible
+                properties
+            hovertext
+                Sets text to appear when hovering over this
+                annotation. If omitted or blank, no hover label
+                will appear.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            opacity
+                Sets the opacity of the annotation (text +
+                arrow).
+            showarrow
+                Determines whether or not the annotation is
+                drawn with an arrow. If True, `text` is placed
+                near the arrow's tail. If False, `text` lines
+                up with the `x` and `y` provided.
+            standoff
+                Sets a distance, in pixels, to move the end
+                arrowhead away from the position it is pointing
+                at, for example to point at the edge of a
+                marker independent of zoom. Note that this
+                shortens the arrow from the `ax` / `ay` vector,
+                in contrast to `xshift` / `yshift` which moves
+                everything by this amount.
+            startarrowhead
+                Sets the start annotation arrow head style.
+            startarrowsize
+                Sets the size of the start annotation arrow
+                head, relative to `arrowwidth`. A value of 1
+                (default) gives a head about 3x as wide as the
+                line.
+            startstandoff
+                Sets a distance, in pixels, to move the start
+                arrowhead away from the position it is pointing
+                at, for example to point at the edge of a
+                marker independent of zoom. Note that this
+                shortens the arrow from the `ax` / `ay` vector,
+                in contrast to `xshift` / `yshift` which moves
+                everything by this amount.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            text
+                Sets the text associated with this annotation.
+                Plotly uses a subset of HTML tags to do things
+                like newline (<br>), bold (<b></b>), italics
+                (<i></i>), hyperlinks (<a href='...'></a>).
+                Tags <em>, <sup>, <sub> <span> are also
+                supported.
+            textangle
+                Sets the angle at which the `text` is drawn
+                with respect to the horizontal.
+            valign
+                Sets the vertical alignment of the `text`
+                within the box. Has an effect only if an
+                explicit height is set to override the text
+                height.
+            visible
+                Determines whether or not this annotation is
+                visible.
+            width
+                Sets an explicit width for the text box. null
+                (default) lets the text set the box width.
+                Wider text will be clipped. There is no
+                automatic wrapping; use <br> to start a new
+                line.
+            x
+                Sets the annotation's x position. If the axis
+                `type` is "log", then you must take the log of
+                your desired range. If the axis `type` is
+                "date", it should be date strings, like date
+                data, though Date objects and unix milliseconds
+                will be accepted and converted to strings. If
+                the axis `type` is "category", it should be
+                numbers, using the scale where each category is
+                assigned a serial number from zero in the order
+                it appears.
+            xanchor
+                Sets the text box's horizontal position anchor
+                This anchor binds the `x` position to the
+                "left", "center" or "right" of the annotation.
+                For example, if `x` is set to 1, `xref` to
+                "paper" and `xanchor` to "right" then the
+                right-most portion of the annotation lines up
+                with the right-most edge of the plotting area.
+                If "auto", the anchor is equivalent to "center"
+                for data-referenced annotations or if there is
+                an arrow, whereas for paper-referenced with no
+                arrow, the anchor picked corresponds to the
+                closest side.
+            xclick
+                Toggle this annotation when clicking a data
+                point whose `x` value is `xclick` rather than
+                the annotation's `x` value.
+            xref
+                Sets the annotation's x coordinate axis. If set
+                to an x axis id (e.g. "x" or "x2"), the `x`
+                position refers to an x coordinate If set to
+                "paper", the `x` position refers to the
+                distance from the left side of the plotting
+                area in normalized coordinates where 0 (1)
+                corresponds to the left (right) side.
+            xshift
+                Shifts the position of the whole annotation and
+                arrow to the right (positive) or left
+                (negative) by this many pixels.
+            y
+                Sets the annotation's y position. If the axis
+                `type` is "log", then you must take the log of
+                your desired range. If the axis `type` is
+                "date", it should be date strings, like date
+                data, though Date objects and unix milliseconds
+                will be accepted and converted to strings. If
+                the axis `type` is "category", it should be
+                numbers, using the scale where each category is
+                assigned a serial number from zero in the order
+                it appears.
+            yanchor
+                Sets the text box's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the annotation.
+                For example, if `y` is set to 1, `yref` to
+                "paper" and `yanchor` to "top" then the top-
+                most portion of the annotation lines up with
+                the top-most edge of the plotting area. If
+                "auto", the anchor is equivalent to "middle"
+                for data-referenced annotations or if there is
+                an arrow, whereas for paper-referenced with no
+                arrow, the anchor picked corresponds to the
+                closest side.
+            yclick
+                Toggle this annotation when clicking a data
+                point whose `y` value is `yclick` rather than
+                the annotation's `y` value.
+            yref
+                Sets the annotation's y coordinate axis. If set
+                to an y axis id (e.g. "y" or "y2"), the `y`
+                position refers to an y coordinate If set to
+                "paper", the `y` position refers to the
+                distance from the bottom of the plotting area
+                in normalized coordinates where 0 (1)
+                corresponds to the bottom (top).
+            yshift
+                Shifts the position of the whole annotation and
+                arrow up (positive) or down (negative) by this
+                many pixels.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_autosize.py b/packages/python/plotly/plotly/validators/layout/_autosize.py
new file mode 100644
index 00000000000..b509d03d40c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_autosize.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutosizeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autosize", parent_name="layout", **kwargs):
+        super(AutosizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_bargap.py b/packages/python/plotly/plotly/validators/layout/_bargap.py
new file mode 100644
index 00000000000..bc1078e96ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_bargap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BargapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="bargap", parent_name="layout", **kwargs):
+        super(BargapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_bargroupgap.py b/packages/python/plotly/plotly/validators/layout/_bargroupgap.py
new file mode 100644
index 00000000000..e0a9d6f17cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_bargroupgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BargroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="bargroupgap", parent_name="layout", **kwargs):
+        super(BargroupgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_barmode.py b/packages/python/plotly/plotly/validators/layout/_barmode.py
new file mode 100644
index 00000000000..350e0895809
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_barmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BarmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="barmode", parent_name="layout", **kwargs):
+        super(BarmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["stack", "group", "overlay", "relative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_barnorm.py b/packages/python/plotly/plotly/validators/layout/_barnorm.py
new file mode 100644
index 00000000000..6bb1b3f4bd9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_barnorm.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BarnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="barnorm", parent_name="layout", **kwargs):
+        super(BarnormValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["", "fraction", "percent"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_boxgap.py b/packages/python/plotly/plotly/validators/layout/_boxgap.py
new file mode 100644
index 00000000000..b4ba1f10322
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_boxgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BoxgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="boxgap", parent_name="layout", **kwargs):
+        super(BoxgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_boxgroupgap.py b/packages/python/plotly/plotly/validators/layout/_boxgroupgap.py
new file mode 100644
index 00000000000..0178f36f6d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_boxgroupgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BoxgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="boxgroupgap", parent_name="layout", **kwargs):
+        super(BoxgroupgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_boxmode.py b/packages/python/plotly/plotly/validators/layout/_boxmode.py
new file mode 100644
index 00000000000..de21dd7460d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_boxmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BoxmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="boxmode", parent_name="layout", **kwargs):
+        super(BoxmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["group", "overlay"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_calendar.py b/packages/python/plotly/plotly/validators/layout/_calendar.py
new file mode 100644
index 00000000000..d073cd8bbf1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_calendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="calendar", parent_name="layout", **kwargs):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_clickmode.py b/packages/python/plotly/plotly/validators/layout/_clickmode.py
new file mode 100644
index 00000000000..9b99f6b8006
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_clickmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ClickmodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="clickmode", parent_name="layout", **kwargs):
+        super(ClickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["event", "select"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_coloraxis.py b/packages/python/plotly/plotly/validators/layout/_coloraxis.py
new file mode 100644
index 00000000000..bb6b90db0c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_coloraxis.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="layout", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Coloraxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `colorscale`. In case
+                `colorscale` is unspecified or `autocolorscale`
+                is true, the default  palette will be chosen
+                according to whether numbers in the `color`
+                array are all positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                corresponding trace color array(s)) or the
+                bounds set in `cmin` and `cmax`  Defaults to
+                `false` when `cmin` and `cmax` are set by the
+                user.
+            cmax
+                Sets the upper bound of the color domain. Value
+                should have the same units as corresponding
+                trace color array(s) and if set, `cmin` must be
+                set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `cmin` and/or `cmax` to be equidistant
+                to this point. Value should have the same units
+                as corresponding trace color array(s). Has no
+                effect when `cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Value
+                should have the same units as corresponding
+                trace color array(s) and if set, `cmax` must be
+                set as well.
+            colorbar
+                :class:`plotly.graph_objects.layout.coloraxis.C
+                olorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            reversescale
+                Reverses the color mapping if true. If true,
+                `cmin` will correspond to the last color in the
+                array and `cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_colorscale.py b/packages/python/plotly/plotly/validators/layout/_colorscale.py
new file mode 100644
index 00000000000..6c06c0dde86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_colorscale.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="layout", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Colorscale"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            diverging
+                Sets the default diverging colorscale. Note
+                that `autocolorscale` must be true for this
+                attribute to work.
+            sequential
+                Sets the default sequential colorscale for
+                positive values. Note that `autocolorscale`
+                must be true for this attribute to work.
+            sequentialminus
+                Sets the default sequential colorscale for
+                negative values. Note that `autocolorscale`
+                must be true for this attribute to work.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_colorway.py b/packages/python/plotly/plotly/validators/layout/_colorway.py
new file mode 100644
index 00000000000..aa3f923a044
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_colorway.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
+    def __init__(self, plotly_name="colorway", parent_name="layout", **kwargs):
+        super(ColorwayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_datarevision.py b/packages/python/plotly/plotly/validators/layout/_datarevision.py
new file mode 100644
index 00000000000..456b440094b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_datarevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DatarevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="datarevision", parent_name="layout", **kwargs):
+        super(DatarevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_direction.py b/packages/python/plotly/plotly/validators/layout/_direction.py
new file mode 100644
index 00000000000..52e6a7aa409
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_direction.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="direction", parent_name="layout", **kwargs):
+        super(DirectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["clockwise", "counterclockwise"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_dragmode.py b/packages/python/plotly/plotly/validators/layout/_dragmode.py
new file mode 100644
index 00000000000..d3b0116de13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_dragmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class DragmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="dragmode", parent_name="layout", **kwargs):
+        super(DragmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["zoom", "pan", "select", "lasso", "orbit", "turntable", False],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_editrevision.py b/packages/python/plotly/plotly/validators/layout/_editrevision.py
new file mode 100644
index 00000000000..cc4816c3853
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_editrevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EditrevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="editrevision", parent_name="layout", **kwargs):
+        super(EditrevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_extendfunnelareacolors.py b/packages/python/plotly/plotly/validators/layout/_extendfunnelareacolors.py
new file mode 100644
index 00000000000..d4c5bb5b651
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_extendfunnelareacolors.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ExtendfunnelareacolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="extendfunnelareacolors", parent_name="layout", **kwargs
+    ):
+        super(ExtendfunnelareacolorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_extendpiecolors.py b/packages/python/plotly/plotly/validators/layout/_extendpiecolors.py
new file mode 100644
index 00000000000..d51b0f168fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_extendpiecolors.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ExtendpiecolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="extendpiecolors", parent_name="layout", **kwargs):
+        super(ExtendpiecolorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_extendsunburstcolors.py b/packages/python/plotly/plotly/validators/layout/_extendsunburstcolors.py
new file mode 100644
index 00000000000..826431fb629
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_extendsunburstcolors.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ExtendsunburstcolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="extendsunburstcolors", parent_name="layout", **kwargs
+    ):
+        super(ExtendsunburstcolorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_extendtreemapcolors.py b/packages/python/plotly/plotly/validators/layout/_extendtreemapcolors.py
new file mode 100644
index 00000000000..6582a7691d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_extendtreemapcolors.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ExtendtreemapcolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="extendtreemapcolors", parent_name="layout", **kwargs
+    ):
+        super(ExtendtreemapcolorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_font.py b/packages/python/plotly/plotly/validators/layout/_font.py
new file mode 100644
index 00000000000..c570a319eab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_funnelareacolorway.py b/packages/python/plotly/plotly/validators/layout/_funnelareacolorway.py
new file mode 100644
index 00000000000..a60d4db6651
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_funnelareacolorway.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelareacolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
+    def __init__(
+        self, plotly_name="funnelareacolorway", parent_name="layout", **kwargs
+    ):
+        super(FunnelareacolorwayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_funnelgap.py b/packages/python/plotly/plotly/validators/layout/_funnelgap.py
new file mode 100644
index 00000000000..a062f8f4395
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_funnelgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="funnelgap", parent_name="layout", **kwargs):
+        super(FunnelgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_funnelgroupgap.py b/packages/python/plotly/plotly/validators/layout/_funnelgroupgap.py
new file mode 100644
index 00000000000..ea435f4a49d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_funnelgroupgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="funnelgroupgap", parent_name="layout", **kwargs):
+        super(FunnelgroupgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_funnelmode.py b/packages/python/plotly/plotly/validators/layout/_funnelmode.py
new file mode 100644
index 00000000000..f8006139a23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_funnelmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="funnelmode", parent_name="layout", **kwargs):
+        super(FunnelmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["stack", "group", "overlay"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_geo.py b/packages/python/plotly/plotly/validators/layout/_geo.py
new file mode 100644
index 00000000000..04ef2bfbd17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_geo.py
@@ -0,0 +1,114 @@
+import _plotly_utils.basevalidators
+
+
+class GeoValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="geo", parent_name="layout", **kwargs):
+        super(GeoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Geo"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Set the background color of the map
+            center
+                :class:`plotly.graph_objects.layout.geo.Center`
+                instance or dict with compatible properties
+            coastlinecolor
+                Sets the coastline color.
+            coastlinewidth
+                Sets the coastline stroke width (in px).
+            countrycolor
+                Sets line color of the country boundaries.
+            countrywidth
+                Sets line width (in px) of the country
+                boundaries.
+            domain
+                :class:`plotly.graph_objects.layout.geo.Domain`
+                instance or dict with compatible properties
+            fitbounds
+                Determines if this subplot's view settings are
+                auto-computed to fit trace data. On scoped
+                maps, setting `fitbounds` leads to `center.lon`
+                and `center.lat` getting auto-filled. On maps
+                with a non-clipped projection, setting
+                `fitbounds` leads to `center.lon`,
+                `center.lat`, and `projection.rotation.lon`
+                getting auto-filled. On maps with a clipped
+                projection, setting `fitbounds` leads to
+                `center.lon`, `center.lat`,
+                `projection.rotation.lon`,
+                `projection.rotation.lat`, `lonaxis.range` and
+                `lonaxis.range` getting auto-filled. If
+                "locations", only the trace's visible locations
+                are considered in the `fitbounds` computations.
+                If "geojson", the entire trace input `geojson`
+                (if provided) is considered in the `fitbounds`
+                computations, Defaults to False.
+            framecolor
+                Sets the color the frame.
+            framewidth
+                Sets the stroke width (in px) of the frame.
+            lakecolor
+                Sets the color of the lakes.
+            landcolor
+                Sets the land mass color.
+            lataxis
+                :class:`plotly.graph_objects.layout.geo.Lataxis
+                ` instance or dict with compatible properties
+            lonaxis
+                :class:`plotly.graph_objects.layout.geo.Lonaxis
+                ` instance or dict with compatible properties
+            oceancolor
+                Sets the ocean color
+            projection
+                :class:`plotly.graph_objects.layout.geo.Project
+                ion` instance or dict with compatible
+                properties
+            resolution
+                Sets the resolution of the base layers. The
+                values have units of km/mm e.g. 110 corresponds
+                to a scale ratio of 1:110,000,000.
+            rivercolor
+                Sets color of the rivers.
+            riverwidth
+                Sets the stroke width (in px) of the rivers.
+            scope
+                Set the scope of the map.
+            showcoastlines
+                Sets whether or not the coastlines are drawn.
+            showcountries
+                Sets whether or not country boundaries are
+                drawn.
+            showframe
+                Sets whether or not a frame is drawn around the
+                map.
+            showlakes
+                Sets whether or not lakes are drawn.
+            showland
+                Sets whether or not land masses are filled in
+                color.
+            showocean
+                Sets whether or not oceans are filled in color.
+            showrivers
+                Sets whether or not rivers are drawn.
+            showsubunits
+                Sets whether or not boundaries of subunits
+                within countries (e.g. states, provinces) are
+                drawn.
+            subunitcolor
+                Sets the color of the subunits boundaries.
+            subunitwidth
+                Sets the stroke width (in px) of the subunits
+                boundaries.
+            uirevision
+                Controls persistence of user-driven changes in
+                the view (projection and center). Defaults to
+                `layout.uirevision`.
+            visible
+                Sets the default visibility of the base layers.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_grid.py b/packages/python/plotly/plotly/validators/layout/_grid.py
new file mode 100644
index 00000000000..625844891a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_grid.py
@@ -0,0 +1,95 @@
+import _plotly_utils.basevalidators
+
+
+class GridValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="grid", parent_name="layout", **kwargs):
+        super(GridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Grid"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            columns
+                The number of columns in the grid. If you
+                provide a 2D `subplots` array, the length of
+                its longest row is used as the default. If you
+                give an `xaxes` array, its length is used as
+                the default. But it's also possible to have a
+                different length, if you want to leave a row at
+                the end for non-cartesian subplots.
+            domain
+                :class:`plotly.graph_objects.layout.grid.Domain
+                ` instance or dict with compatible properties
+            pattern
+                If no `subplots`, `xaxes`, or `yaxes` are given
+                but we do have `rows` and `columns`, we can
+                generate defaults using consecutive axis IDs,
+                in two ways: "coupled" gives one x axis per
+                column and one y axis per row. "independent"
+                uses a new xy pair for each cell, left-to-right
+                across each row then iterating rows according
+                to `roworder`.
+            roworder
+                Is the first row the top or the bottom? Note
+                that columns are always enumerated from left to
+                right.
+            rows
+                The number of rows in the grid. If you provide
+                a 2D `subplots` array or a `yaxes` array, its
+                length is used as the default. But it's also
+                possible to have a different length, if you
+                want to leave a row at the end for non-
+                cartesian subplots.
+            subplots
+                Used for freeform grids, where some axes may be
+                shared across subplots but others are not. Each
+                entry should be a cartesian subplot id, like
+                "xy" or "x3y2", or "" to leave that cell empty.
+                You may reuse x axes within the same column,
+                and y axes within the same row. Non-cartesian
+                subplots and traces that support `domain` can
+                place themselves in this grid separately using
+                the `gridcell` attribute.
+            xaxes
+                Used with `yaxes` when the x and y axes are
+                shared across columns and rows. Each entry
+                should be an x axis id like "x", "x2", etc., or
+                "" to not put an x axis in that column. Entries
+                other than "" must be unique. Ignored if
+                `subplots` is present. If missing but `yaxes`
+                is present, will generate consecutive IDs.
+            xgap
+                Horizontal space between grid cells, expressed
+                as a fraction of the total width available to
+                one cell. Defaults to 0.1 for coupled-axes
+                grids and 0.2 for independent grids.
+            xside
+                Sets where the x axis labels and titles go.
+                "bottom" means the very bottom of the grid.
+                "bottom plot" is the lowest plot that each x
+                axis is used in. "top" and "top plot" are
+                similar.
+            yaxes
+                Used with `yaxes` when the x and y axes are
+                shared across columns and rows. Each entry
+                should be an y axis id like "y", "y2", etc., or
+                "" to not put a y axis in that row. Entries
+                other than "" must be unique. Ignored if
+                `subplots` is present. If missing but `xaxes`
+                is present, will generate consecutive IDs.
+            ygap
+                Vertical space between grid cells, expressed as
+                a fraction of the total height available to one
+                cell. Defaults to 0.1 for coupled-axes grids
+                and 0.3 for independent grids.
+            yside
+                Sets where the y axis labels and titles go.
+                "left" means the very left edge of the grid.
+                *left plot* is the leftmost plot that each y
+                axis is used in. "right" and *right plot* are
+                similar.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_height.py b/packages/python/plotly/plotly/validators/layout/_height.py
new file mode 100644
index 00000000000..588446e794b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_height.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="height", parent_name="layout", **kwargs):
+        super(HeightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 10),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_hiddenlabels.py b/packages/python/plotly/plotly/validators/layout/_hiddenlabels.py
new file mode 100644
index 00000000000..8489093ff7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_hiddenlabels.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HiddenlabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="hiddenlabels", parent_name="layout", **kwargs):
+        super(HiddenlabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_hiddenlabelssrc.py b/packages/python/plotly/plotly/validators/layout/_hiddenlabelssrc.py
new file mode 100644
index 00000000000..a24b0867f47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_hiddenlabelssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HiddenlabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hiddenlabelssrc", parent_name="layout", **kwargs):
+        super(HiddenlabelssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_hidesources.py b/packages/python/plotly/plotly/validators/layout/_hidesources.py
new file mode 100644
index 00000000000..e049df7f345
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_hidesources.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HidesourcesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="hidesources", parent_name="layout", **kwargs):
+        super(HidesourcesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_hoverdistance.py b/packages/python/plotly/plotly/validators/layout/_hoverdistance.py
new file mode 100644
index 00000000000..b2a13ceb442
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_hoverdistance.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoverdistanceValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="hoverdistance", parent_name="layout", **kwargs):
+        super(HoverdistanceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_hoverlabel.py b/packages/python/plotly/plotly/validators/layout/_hoverlabel.py
new file mode 100644
index 00000000000..c8bcc823c81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_hoverlabel.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="layout", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            bgcolor
+                Sets the background color of all hover labels
+                on graph
+            bordercolor
+                Sets the border color of all hover labels on
+                graph.
+            font
+                Sets the default hover label font used by all
+                traces on the graph.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_hovermode.py b/packages/python/plotly/plotly/validators/layout/_hovermode.py
new file mode 100644
index 00000000000..f0e32ae485e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_hovermode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovermodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="hovermode", parent_name="layout", **kwargs):
+        super(HovermodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["x", "y", "closest", False, "x unified", "y unified"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_imagedefaults.py b/packages/python/plotly/plotly/validators/layout/_imagedefaults.py
new file mode 100644
index 00000000000..52e00af47fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_imagedefaults.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ImagedefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="imagedefaults", parent_name="layout", **kwargs):
+        super(ImagedefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Image"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_images.py b/packages/python/plotly/plotly/validators/layout/_images.py
new file mode 100644
index 00000000000..38b0803cf2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_images.py
@@ -0,0 +1,93 @@
+import _plotly_utils.basevalidators
+
+
+class ImagesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="images", parent_name="layout", **kwargs):
+        super(ImagesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Image"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            layer
+                Specifies whether images are drawn below or
+                above traces. When `xref` and `yref` are both
+                set to `paper`, image is drawn below the entire
+                plot area.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            opacity
+                Sets the opacity of the image.
+            sizex
+                Sets the image container size horizontally. The
+                image will be sized based on the `position`
+                value. When `xref` is set to `paper`, units are
+                sized relative to the plot width.
+            sizey
+                Sets the image container size vertically. The
+                image will be sized based on the `position`
+                value. When `yref` is set to `paper`, units are
+                sized relative to the plot height.
+            sizing
+                Specifies which dimension of the image to
+                constrain.
+            source
+                Specifies the URL of the image to be used. The
+                URL must be accessible from the domain where
+                the plot code is run, and can be either
+                relative or absolute.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            visible
+                Determines whether or not this image is
+                visible.
+            x
+                Sets the image's x position. When `xref` is set
+                to `paper`, units are sized relative to the
+                plot height. See `xref` for more info
+            xanchor
+                Sets the anchor for the x position
+            xref
+                Sets the images's x coordinate axis. If set to
+                a x axis id (e.g. "x" or "x2"), the `x`
+                position refers to an x data coordinate If set
+                to "paper", the `x` position refers to the
+                distance from the left of plot in normalized
+                coordinates where 0 (1) corresponds to the left
+                (right).
+            y
+                Sets the image's y position. When `yref` is set
+                to `paper`, units are sized relative to the
+                plot height. See `yref` for more info
+            yanchor
+                Sets the anchor for the y position.
+            yref
+                Sets the images's y coordinate axis. If set to
+                a y axis id (e.g. "y" or "y2"), the `y`
+                position refers to a y data coordinate. If set
+                to "paper", the `y` position refers to the
+                distance from the bottom of the plot in
+                normalized coordinates where 0 (1) corresponds
+                to the bottom (top).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_legend.py b/packages/python/plotly/plotly/validators/layout/_legend.py
new file mode 100644
index 00000000000..0d6fb835825
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_legend.py
@@ -0,0 +1,101 @@
+import _plotly_utils.basevalidators
+
+
+class LegendValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="legend", parent_name="layout", **kwargs):
+        super(LegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Legend"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the legend background color. Defaults to
+                `layout.paper_bgcolor`.
+            bordercolor
+                Sets the color of the border enclosing the
+                legend.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the legend.
+            font
+                Sets the font used to text the legend items.
+            itemclick
+                Determines the behavior on legend item click.
+                "toggle" toggles the visibility of the item
+                clicked on the graph. "toggleothers" makes the
+                clicked item the sole visible item on the
+                graph. False disable legend item click
+                interactions.
+            itemdoubleclick
+                Determines the behavior on legend item double-
+                click. "toggle" toggles the visibility of the
+                item clicked on the graph. "toggleothers" makes
+                the clicked item the sole visible item on the
+                graph. False disable legend item double-click
+                interactions.
+            itemsizing
+                Determines if the legend items symbols scale
+                with their corresponding "trace" attributes or
+                remain "constant" independent of the symbol
+                size on the graph.
+            orientation
+                Sets the orientation of the legend.
+            title
+                :class:`plotly.graph_objects.layout.legend.Titl
+                e` instance or dict with compatible properties
+            tracegroupgap
+                Sets the amount of vertical space (in px)
+                between legend groups.
+            traceorder
+                Determines the order at which the legend items
+                are displayed. If "normal", the items are
+                displayed top-to-bottom in the same order as
+                the input data. If "reversed", the items are
+                displayed in the opposite order as "normal". If
+                "grouped", the items are displayed in groups
+                (when a trace `legendgroup` is provided). if
+                "grouped+reversed", the items are displayed in
+                the opposite order as "grouped".
+            uirevision
+                Controls persistence of legend-driven changes
+                in trace and pie label visibility. Defaults to
+                `layout.uirevision`.
+            valign
+                Sets the vertical alignment of the symbols with
+                respect to their associated text.
+            x
+                Sets the x position (in normalized coordinates)
+                of the legend. Defaults to 1.02 for vertical
+                legends and defaults to 0 for horizontal
+                legends.
+            xanchor
+                Sets the legend's horizontal position anchor.
+                This anchor binds the `x` position to the
+                "left", "center" or "right" of the legend.
+                Value "auto" anchors legends to the right for
+                `x` values greater than or equal to 2/3,
+                anchors legends to the left for `x` values less
+                than or equal to 1/3 and anchors legends with
+                respect to their center otherwise.
+            y
+                Sets the y position (in normalized coordinates)
+                of the legend. Defaults to 1 for vertical
+                legends, defaults to "-0.1" for horizontal
+                legends on graphs w/o range sliders and
+                defaults to 1.1 for horizontal legends on graph
+                with one or multiple range sliders.
+            yanchor
+                Sets the legend's vertical position anchor This
+                anchor binds the `y` position to the "top",
+                "middle" or "bottom" of the legend. Value
+                "auto" anchors legends at their bottom for `y`
+                values less than or equal to 1/3, anchors
+                legends to at their top for `y` values greater
+                than or equal to 2/3 and anchors legends with
+                respect to their middle otherwise.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_mapbox.py b/packages/python/plotly/plotly/validators/layout/_mapbox.py
new file mode 100644
index 00000000000..c5212ceec2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_mapbox.py
@@ -0,0 +1,82 @@
+import _plotly_utils.basevalidators
+
+
+class MapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="mapbox", parent_name="layout", **kwargs):
+        super(MapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Mapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            accesstoken
+                Sets the mapbox access token to be used for
+                this mapbox map. Alternatively, the mapbox
+                access token can be set in the configuration
+                options under `mapboxAccessToken`. Note that
+                accessToken are only required when `style` (e.g
+                with values : basic, streets, outdoors, light,
+                dark, satellite, satellite-streets ) and/or a
+                layout layer references the Mapbox server.
+            bearing
+                Sets the bearing angle of the map in degrees
+                counter-clockwise from North (mapbox.bearing).
+            center
+                :class:`plotly.graph_objects.layout.mapbox.Cent
+                er` instance or dict with compatible properties
+            domain
+                :class:`plotly.graph_objects.layout.mapbox.Doma
+                in` instance or dict with compatible properties
+            layers
+                A tuple of :class:`plotly.graph_objects.layout.
+                mapbox.Layer` instances or dicts with
+                compatible properties
+            layerdefaults
+                When used in a template (as
+                layout.template.layout.mapbox.layerdefaults),
+                sets the default property values to use for
+                elements of layout.mapbox.layers
+            pitch
+                Sets the pitch angle of the map (in degrees,
+                where 0 means perpendicular to the surface of
+                the map) (mapbox.pitch).
+            style
+                Defines the map layers that are rendered by
+                default below the trace layers defined in
+                `data`, which are themselves by default
+                rendered below the layers defined in
+                `layout.mapbox.layers`.  These layers can be
+                defined either explicitly as a Mapbox Style
+                object which can contain multiple layer
+                definitions that load data from any public or
+                private Tile Map Service (TMS or XYZ) or Web
+                Map Service (WMS) or implicitly by using one of
+                the built-in style objects which use WMSes
+                which do not require any access tokens, or by
+                using a default Mapbox style or custom Mapbox
+                style URL, both of which require a Mapbox
+                access token  Note that Mapbox access token can
+                be set in the `accesstoken` attribute or in the
+                `mapboxAccessToken` config option.  Mapbox
+                Style objects are of the form described in the
+                Mapbox GL JS documentation available at
+                https://docs.mapbox.com/mapbox-gl-js/style-spec
+                The built-in plotly.js styles objects are:
+                open-street-map, white-bg, carto-positron,
+                carto-darkmatter, stamen-terrain, stamen-toner,
+                stamen-watercolor  The built-in Mapbox styles
+                are: basic, streets, outdoors, light, dark,
+                satellite, satellite-streets  Mapbox style URLs
+                are of the form:
+                mapbox://mapbox.mapbox-<name>-<version>
+            uirevision
+                Controls persistence of user-driven changes in
+                the view: `center`, `zoom`, `bearing`, `pitch`.
+                Defaults to `layout.uirevision`.
+            zoom
+                Sets the zoom level of the map (mapbox.zoom).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_margin.py b/packages/python/plotly/plotly/validators/layout/_margin.py
new file mode 100644
index 00000000000..99c1fcd7f50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_margin.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class MarginValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="margin", parent_name="layout", **kwargs):
+        super(MarginValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Margin"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autoexpand
+                Turns on/off margin expansion computations.
+                Legends, colorbars, updatemenus, sliders, axis
+                rangeselector and rangeslider are allowed to
+                push the margins by defaults.
+            b
+                Sets the bottom margin (in px).
+            l
+                Sets the left margin (in px).
+            pad
+                Sets the amount of padding (in px) between the
+                plotting area and the axis lines
+            r
+                Sets the right margin (in px).
+            t
+                Sets the top margin (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_meta.py b/packages/python/plotly/plotly/validators/layout/_meta.py
new file mode 100644
index 00000000000..8ab9262d3d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="layout", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_metasrc.py b/packages/python/plotly/plotly/validators/layout/_metasrc.py
new file mode 100644
index 00000000000..f3579170441
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="layout", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_modebar.py b/packages/python/plotly/plotly/validators/layout/_modebar.py
new file mode 100644
index 00000000000..ed21431fe90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_modebar.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class ModebarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="modebar", parent_name="layout", **kwargs):
+        super(ModebarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Modebar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            activecolor
+                Sets the color of the active or hovered on
+                icons in the modebar.
+            bgcolor
+                Sets the background color of the modebar.
+            color
+                Sets the color of the icons in the modebar.
+            orientation
+                Sets the orientation of the modebar.
+            uirevision
+                Controls persistence of user-driven changes
+                related to the modebar, including `hovermode`,
+                `dragmode`, and `showspikes` at both the root
+                level and inside subplots. Defaults to
+                `layout.uirevision`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_orientation.py b/packages/python/plotly/plotly/validators/layout/_orientation.py
new file mode 100644
index 00000000000..b29e044ba99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_orientation.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="orientation", parent_name="layout", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_paper_bgcolor.py b/packages/python/plotly/plotly/validators/layout/_paper_bgcolor.py
new file mode 100644
index 00000000000..2ce56e87f36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_paper_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Paper_BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="paper_bgcolor", parent_name="layout", **kwargs):
+        super(Paper_BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_piecolorway.py b/packages/python/plotly/plotly/validators/layout/_piecolorway.py
new file mode 100644
index 00000000000..806e737bbd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_piecolorway.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PiecolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
+    def __init__(self, plotly_name="piecolorway", parent_name="layout", **kwargs):
+        super(PiecolorwayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_plot_bgcolor.py b/packages/python/plotly/plotly/validators/layout/_plot_bgcolor.py
new file mode 100644
index 00000000000..f9e0d5c332c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_plot_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Plot_BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="plot_bgcolor", parent_name="layout", **kwargs):
+        super(Plot_BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_polar.py b/packages/python/plotly/plotly/validators/layout/_polar.py
new file mode 100644
index 00000000000..ed00d66eead
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_polar.py
@@ -0,0 +1,64 @@
+import _plotly_utils.basevalidators
+
+
+class PolarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="polar", parent_name="layout", **kwargs):
+        super(PolarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Polar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            angularaxis
+                :class:`plotly.graph_objects.layout.polar.Angul
+                arAxis` instance or dict with compatible
+                properties
+            bargap
+                Sets the gap between bars of adjacent location
+                coordinates. Values are unitless, they
+                represent fractions of the minimum difference
+                in bar positions in the data.
+            barmode
+                Determines how bars at the same location
+                coordinate are displayed on the graph. With
+                "stack", the bars are stacked on top of one
+                another With "overlay", the bars are plotted
+                over one another, you might need to an
+                "opacity" to see multiple bars.
+            bgcolor
+                Set the background color of the subplot
+            domain
+                :class:`plotly.graph_objects.layout.polar.Domai
+                n` instance or dict with compatible properties
+            gridshape
+                Determines if the radial axis grid lines and
+                angular axis line are drawn as "circular"
+                sectors or as "linear" (polygon) sectors. Has
+                an effect only when the angular axis has `type`
+                "category". Note that `radialaxis.angle` is
+                snapped to the angle of the closest vertex when
+                `gridshape` is "circular" (so that radial axis
+                scale is the same as the data scale).
+            hole
+                Sets the fraction of the radius to cut out of
+                the polar subplot.
+            radialaxis
+                :class:`plotly.graph_objects.layout.polar.Radia
+                lAxis` instance or dict with compatible
+                properties
+            sector
+                Sets angular span of this polar subplot with
+                two angles (in degrees). Sector are assumed to
+                be spanned in the counterclockwise direction
+                with 0 corresponding to rightmost limit of the
+                polar subplot.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis attributes, if not overridden in the
+                individual axes. Defaults to
+                `layout.uirevision`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_radialaxis.py b/packages/python/plotly/plotly/validators/layout/_radialaxis.py
new file mode 100644
index 00000000000..99a82dbf85d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_radialaxis.py
@@ -0,0 +1,62 @@
+import _plotly_utils.basevalidators
+
+
+class RadialaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="radialaxis", parent_name="layout", **kwargs):
+        super(RadialaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "RadialAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            domain
+                Polar chart subplots are not supported yet.
+                This key has currently no effect.
+            endpadding
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots.
+            orientation
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the
+                orientation (an angle with respect to the
+                origin) of the radial axis.
+            range
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Defines the start
+                and end point of this radial axis.
+            showline
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Determines whether
+                or not the line bounding this radial axis will
+                be shown on the figure.
+            showticklabels
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Determines whether
+                or not the radial axis ticks will feature tick
+                labels.
+            tickcolor
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the color of
+                the tick lines on this radial axis.
+            ticklen
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the length of
+                the tick lines on this radial axis.
+            tickorientation
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the
+                orientation (from the paper perspective) of the
+                radial axis tick labels.
+            ticksuffix
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Sets the length of
+                the tick lines on this radial axis.
+            visible
+                Legacy polar charts are deprecated! Please
+                switch to "polar" subplots. Determines whether
+                or not this axis will be visible.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_scene.py b/packages/python/plotly/plotly/validators/layout/_scene.py
new file mode 100644
index 00000000000..262da4c1bdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_scene.py
@@ -0,0 +1,67 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="scene", parent_name="layout", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scene"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            annotations
+                A tuple of :class:`plotly.graph_objects.layout.
+                scene.Annotation` instances or dicts with
+                compatible properties
+            annotationdefaults
+                When used in a template (as layout.template.lay
+                out.scene.annotationdefaults), sets the default
+                property values to use for elements of
+                layout.scene.annotations
+            aspectmode
+                If "cube", this scene's axes are drawn as a
+                cube, regardless of the axes' ranges. If
+                "data", this scene's axes are drawn in
+                proportion with the axes' ranges. If "manual",
+                this scene's axes are drawn in proportion with
+                the input of "aspectratio" (the default
+                behavior if "aspectratio" is provided). If
+                "auto", this scene's axes are drawn using the
+                results of "data" except when one axis is more
+                than four times the size of the two others,
+                where in that case the results of "cube" are
+                used.
+            aspectratio
+                Sets this scene's axis aspectratio.
+            bgcolor
+
+            camera
+                :class:`plotly.graph_objects.layout.scene.Camer
+                a` instance or dict with compatible properties
+            domain
+                :class:`plotly.graph_objects.layout.scene.Domai
+                n` instance or dict with compatible properties
+            dragmode
+                Determines the mode of drag interactions for
+                this scene.
+            hovermode
+                Determines the mode of hover interactions for
+                this scene.
+            uirevision
+                Controls persistence of user-driven changes in
+                camera attributes. Defaults to
+                `layout.uirevision`.
+            xaxis
+                :class:`plotly.graph_objects.layout.scene.XAxis
+                ` instance or dict with compatible properties
+            yaxis
+                :class:`plotly.graph_objects.layout.scene.YAxis
+                ` instance or dict with compatible properties
+            zaxis
+                :class:`plotly.graph_objects.layout.scene.ZAxis
+                ` instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_selectdirection.py b/packages/python/plotly/plotly/validators/layout/_selectdirection.py
new file mode 100644
index 00000000000..dd80f02c3ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_selectdirection.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SelectdirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="selectdirection", parent_name="layout", **kwargs):
+        super(SelectdirectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["h", "v", "d", "any"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_selectionrevision.py b/packages/python/plotly/plotly/validators/layout/_selectionrevision.py
new file mode 100644
index 00000000000..2d6a4e9478e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_selectionrevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectionrevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectionrevision", parent_name="layout", **kwargs):
+        super(SelectionrevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_separators.py b/packages/python/plotly/plotly/validators/layout/_separators.py
new file mode 100644
index 00000000000..f29f1b2dc5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_separators.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatorsValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="separators", parent_name="layout", **kwargs):
+        super(SeparatorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_shapedefaults.py b/packages/python/plotly/plotly/validators/layout/_shapedefaults.py
new file mode 100644
index 00000000000..72b7303c17e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_shapedefaults.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ShapedefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="shapedefaults", parent_name="layout", **kwargs):
+        super(ShapedefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Shape"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_shapes.py b/packages/python/plotly/plotly/validators/layout/_shapes.py
new file mode 100644
index 00000000000..00086340cda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_shapes.py
@@ -0,0 +1,162 @@
+import _plotly_utils.basevalidators
+
+
+class ShapesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="shapes", parent_name="layout", **kwargs):
+        super(ShapesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Shape"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fillcolor
+                Sets the color filling the shape's interior.
+            layer
+                Specifies whether shapes are drawn below or
+                above traces.
+            line
+                :class:`plotly.graph_objects.layout.shape.Line`
+                instance or dict with compatible properties
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            opacity
+                Sets the opacity of the shape.
+            path
+                For `type` "path" - a valid SVG path with the
+                pixel values replaced by data values in
+                `xsizemode`/`ysizemode` being "scaled" and
+                taken unmodified as pixels relative to
+                `xanchor` and `yanchor` in case of "pixel" size
+                mode. There are a few restrictions / quirks
+                only absolute instructions, not relative. So
+                the allowed segments are: M, L, H, V, Q, C, T,
+                S, and Z arcs (A) are not allowed because
+                radius rx and ry are relative. In the future we
+                could consider supporting relative commands,
+                but we would have to decide on how to handle
+                date and log axes. Note that even as is, Q and
+                C Bezier paths that are smooth on linear axes
+                may not be smooth on log, and vice versa. no
+                chained "polybezier" commands - specify the
+                segment type for each one. On category axes,
+                values are numbers scaled to the serial numbers
+                of categories because using the categories
+                themselves there would be no way to describe
+                fractional positions On data axes: because
+                space and T are both normal components of path
+                strings, we can't use either to separate date
+                from time parts. Therefore we'll use underscore
+                for this purpose: 2015-02-21_13:45:56.789
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            type
+                Specifies the shape type to be drawn. If
+                "line", a line is drawn from (`x0`,`y0`) to
+                (`x1`,`y1`) with respect to the axes' sizing
+                mode. If "circle", a circle is drawn from
+                ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
+                (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2
+                -`y0`)|) with respect to the axes' sizing mode.
+                If "rect", a rectangle is drawn linking
+                (`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`),
+                (`x0`,`y1`), (`x0`,`y0`) with respect to the
+                axes' sizing mode. If "path", draw a custom SVG
+                path using `path`. with respect to the axes'
+                sizing mode.
+            visible
+                Determines whether or not this shape is
+                visible.
+            x0
+                Sets the shape's starting x position. See
+                `type` and `xsizemode` for more info.
+            x1
+                Sets the shape's end x position. See `type` and
+                `xsizemode` for more info.
+            xanchor
+                Only relevant in conjunction with `xsizemode`
+                set to "pixel". Specifies the anchor point on
+                the x axis to which `x0`, `x1` and x
+                coordinates within `path` are relative to. E.g.
+                useful to attach a pixel sized shape to a
+                certain data value. No effect when `xsizemode`
+                not set to "pixel".
+            xref
+                Sets the shape's x coordinate axis. If set to
+                an x axis id (e.g. "x" or "x2"), the `x`
+                position refers to an x coordinate. If set to
+                "paper", the `x` position refers to the
+                distance from the left side of the plotting
+                area in normalized coordinates where 0 (1)
+                corresponds to the left (right) side. If the
+                axis `type` is "log", then you must take the
+                log of your desired range. If the axis `type`
+                is "date", then you must convert the date to
+                unix time in milliseconds.
+            xsizemode
+                Sets the shapes's sizing mode along the x axis.
+                If set to "scaled", `x0`, `x1` and x
+                coordinates within `path` refer to data values
+                on the x axis or a fraction of the plot area's
+                width (`xref` set to "paper"). If set to
+                "pixel", `xanchor` specifies the x position in
+                terms of data or plot fraction but `x0`, `x1`
+                and x coordinates within `path` are pixels
+                relative to `xanchor`. This way, the shape can
+                have a fixed width while maintaining a position
+                relative to data or plot fraction.
+            y0
+                Sets the shape's starting y position. See
+                `type` and `ysizemode` for more info.
+            y1
+                Sets the shape's end y position. See `type` and
+                `ysizemode` for more info.
+            yanchor
+                Only relevant in conjunction with `ysizemode`
+                set to "pixel". Specifies the anchor point on
+                the y axis to which `y0`, `y1` and y
+                coordinates within `path` are relative to. E.g.
+                useful to attach a pixel sized shape to a
+                certain data value. No effect when `ysizemode`
+                not set to "pixel".
+            yref
+                Sets the annotation's y coordinate axis. If set
+                to an y axis id (e.g. "y" or "y2"), the `y`
+                position refers to an y coordinate If set to
+                "paper", the `y` position refers to the
+                distance from the bottom of the plotting area
+                in normalized coordinates where 0 (1)
+                corresponds to the bottom (top).
+            ysizemode
+                Sets the shapes's sizing mode along the y axis.
+                If set to "scaled", `y0`, `y1` and y
+                coordinates within `path` refer to data values
+                on the y axis or a fraction of the plot area's
+                height (`yref` set to "paper"). If set to
+                "pixel", `yanchor` specifies the y position in
+                terms of data or plot fraction but `y0`, `y1`
+                and y coordinates within `path` are pixels
+                relative to `yanchor`. This way, the shape can
+                have a fixed height while maintaining a
+                position relative to data or plot fraction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_showlegend.py b/packages/python/plotly/plotly/validators/layout/_showlegend.py
new file mode 100644
index 00000000000..7407492a9fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="layout", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_sliderdefaults.py b/packages/python/plotly/plotly/validators/layout/_sliderdefaults.py
new file mode 100644
index 00000000000..fa173ca9318
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_sliderdefaults.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SliderdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="sliderdefaults", parent_name="layout", **kwargs):
+        super(SliderdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Slider"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_sliders.py b/packages/python/plotly/plotly/validators/layout/_sliders.py
new file mode 100644
index 00000000000..4d199a20358
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_sliders.py
@@ -0,0 +1,110 @@
+import _plotly_utils.basevalidators
+
+
+class SlidersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="sliders", parent_name="layout", **kwargs):
+        super(SlidersValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Slider"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            active
+                Determines which button (by index starting from
+                0) is considered active.
+            activebgcolor
+                Sets the background color of the slider grip
+                while dragging.
+            bgcolor
+                Sets the background color of the slider.
+            bordercolor
+                Sets the color of the border enclosing the
+                slider.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the slider.
+            currentvalue
+                :class:`plotly.graph_objects.layout.slider.Curr
+                entvalue` instance or dict with compatible
+                properties
+            font
+                Sets the font of the slider step labels.
+            len
+                Sets the length of the slider This measure
+                excludes the padding of both ends. That is, the
+                slider's length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this slider length is set in
+                units of plot "fraction" or in *pixels. Use
+                `len` to set the value.
+            minorticklen
+                Sets the length in pixels of minor step tick
+                marks
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            pad
+                Set the padding of the slider component along
+                each side.
+            steps
+                A tuple of :class:`plotly.graph_objects.layout.
+                slider.Step` instances or dicts with compatible
+                properties
+            stepdefaults
+                When used in a template (as
+                layout.template.layout.slider.stepdefaults),
+                sets the default property values to use for
+                elements of layout.slider.steps
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            tickcolor
+                Sets the color of the border enclosing the
+                slider.
+            ticklen
+                Sets the length in pixels of step tick marks
+            tickwidth
+                Sets the tick width (in px).
+            transition
+                :class:`plotly.graph_objects.layout.slider.Tran
+                sition` instance or dict with compatible
+                properties
+            visible
+                Determines whether or not the slider is
+                visible.
+            x
+                Sets the x position (in normalized coordinates)
+                of the slider.
+            xanchor
+                Sets the slider's horizontal position anchor.
+                This anchor binds the `x` position to the
+                "left", "center" or "right" of the range
+                selector.
+            y
+                Sets the y position (in normalized coordinates)
+                of the slider.
+            yanchor
+                Sets the slider's vertical position anchor This
+                anchor binds the `y` position to the "top",
+                "middle" or "bottom" of the range selector.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_spikedistance.py b/packages/python/plotly/plotly/validators/layout/_spikedistance.py
new file mode 100644
index 00000000000..d71f33f9ccb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_spikedistance.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SpikedistanceValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="spikedistance", parent_name="layout", **kwargs):
+        super(SpikedistanceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_sunburstcolorway.py b/packages/python/plotly/plotly/validators/layout/_sunburstcolorway.py
new file mode 100644
index 00000000000..3990d3f41f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_sunburstcolorway.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SunburstcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
+    def __init__(self, plotly_name="sunburstcolorway", parent_name="layout", **kwargs):
+        super(SunburstcolorwayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_template.py b/packages/python/plotly/plotly/validators/layout/_template.py
new file mode 100644
index 00000000000..c5c53a2bb70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_template.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateValidator(_plotly_utils.basevalidators.BaseTemplateValidator):
+    def __init__(self, plotly_name="template", parent_name="layout", **kwargs):
+        super(TemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Template"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            data
+                :class:`plotly.graph_objects.layout.template.Da
+                ta` instance or dict with compatible properties
+            layout
+                :class:`plotly.graph_objects.Layout` instance
+                or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_ternary.py b/packages/python/plotly/plotly/validators/layout/_ternary.py
new file mode 100644
index 00000000000..8c547da3605
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_ternary.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TernaryValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="ternary", parent_name="layout", **kwargs):
+        super(TernaryValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Ternary"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            aaxis
+                :class:`plotly.graph_objects.layout.ternary.Aax
+                is` instance or dict with compatible properties
+            baxis
+                :class:`plotly.graph_objects.layout.ternary.Bax
+                is` instance or dict with compatible properties
+            bgcolor
+                Set the background color of the subplot
+            caxis
+                :class:`plotly.graph_objects.layout.ternary.Cax
+                is` instance or dict with compatible properties
+            domain
+                :class:`plotly.graph_objects.layout.ternary.Dom
+                ain` instance or dict with compatible
+                properties
+            sum
+                The number each triplet should sum to, and the
+                maximum range of each axis
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `min` and `title`, if not overridden in
+                the individual axes. Defaults to
+                `layout.uirevision`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_title.py b/packages/python/plotly/plotly/validators/layout/_title.py
new file mode 100644
index 00000000000..461588c3a2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_title.py
@@ -0,0 +1,68 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets the title font. Note that the title's font
+                used to be customized by the now deprecated
+                `titlefont` attribute.
+            pad
+                Sets the padding of the title. Each padding
+                value only applies when the corresponding
+                `xanchor`/`yanchor` value is set accordingly.
+                E.g. for left padding to take effect, `xanchor`
+                must be set to "left". The same rule applies if
+                `xanchor`/`yanchor` is determined
+                automatically. Padding is muted if the
+                respective anchor value is "middle*/*center".
+            text
+                Sets the plot's title. Note that before the
+                existence of `title.text`, the title's contents
+                used to be defined as the `title` attribute
+                itself. This behavior has been deprecated.
+            x
+                Sets the x position with respect to `xref` in
+                normalized coordinates from 0 (left) to 1
+                (right).
+            xanchor
+                Sets the title's horizontal alignment with
+                respect to its x position. "left" means that
+                the title starts at x, "right" means that the
+                title ends at x and "center" means that the
+                title's center is at x. "auto" divides `xref`
+                by three and calculates the `xanchor` value
+                automatically based on the value of `x`.
+            xref
+                Sets the container `x` refers to. "container"
+                spans the entire `width` of the plot. "paper"
+                refers to the width of the plotting area only.
+            y
+                Sets the y position with respect to `yref` in
+                normalized coordinates from 0 (bottom) to 1
+                (top). "auto" places the baseline of the title
+                onto the vertical center of the top margin.
+            yanchor
+                Sets the title's vertical alignment with
+                respect to its y position. "top" means that the
+                title's cap line is at y, "bottom" means that
+                the title's baseline is at y and "middle" means
+                that the title's midline is at y. "auto"
+                divides `yref` by three and calculates the
+                `yanchor` value automatically based on the
+                value of `y`.
+            yref
+                Sets the container `y` refers to. "container"
+                spans the entire `height` of the plot. "paper"
+                refers to the height of the plotting area only.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_transition.py b/packages/python/plotly/plotly/validators/layout/_transition.py
new file mode 100644
index 00000000000..2d8e8c8ba9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_transition.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class TransitionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="transition", parent_name="layout", **kwargs):
+        super(TransitionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Transition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            duration
+                The duration of the transition, in
+                milliseconds. If equal to zero, updates are
+                synchronous.
+            easing
+                The easing function used for the transition
+            ordering
+                Determines whether the figure's layout or
+                traces smoothly transitions during updates that
+                make both traces and layout change.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_treemapcolorway.py b/packages/python/plotly/plotly/validators/layout/_treemapcolorway.py
new file mode 100644
index 00000000000..03be508a34c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_treemapcolorway.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TreemapcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
+    def __init__(self, plotly_name="treemapcolorway", parent_name="layout", **kwargs):
+        super(TreemapcolorwayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_uirevision.py b/packages/python/plotly/plotly/validators/layout/_uirevision.py
new file mode 100644
index 00000000000..18abe1de0da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_uniformtext.py b/packages/python/plotly/plotly/validators/layout/_uniformtext.py
new file mode 100644
index 00000000000..9607887ba6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_uniformtext.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class UniformtextValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="uniformtext", parent_name="layout", **kwargs):
+        super(UniformtextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Uniformtext"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            minsize
+                Sets the minimum text size between traces of
+                the same type.
+            mode
+                Determines how the font size for various text
+                elements are uniformed between each trace type.
+                If the computed text sizes were smaller than
+                the minimum size defined by
+                `uniformtext.minsize` using "hide" option hides
+                the text; and using "show" option shows the
+                text without further downscaling. Please note
+                that if the size defined by `minsize` is
+                greater than the font size defined by trace,
+                then the `minsize` is used.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_updatemenudefaults.py b/packages/python/plotly/plotly/validators/layout/_updatemenudefaults.py
new file mode 100644
index 00000000000..9204750e87b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_updatemenudefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class UpdatemenudefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="updatemenudefaults", parent_name="layout", **kwargs
+    ):
+        super(UpdatemenudefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Updatemenu"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_updatemenus.py b/packages/python/plotly/plotly/validators/layout/_updatemenus.py
new file mode 100644
index 00000000000..84f2737aed6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_updatemenus.py
@@ -0,0 +1,95 @@
+import _plotly_utils.basevalidators
+
+
+class UpdatemenusValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="updatemenus", parent_name="layout", **kwargs):
+        super(UpdatemenusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Updatemenu"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            active
+                Determines which button (by index starting from
+                0) is considered active.
+            bgcolor
+                Sets the background color of the update menu
+                buttons.
+            bordercolor
+                Sets the color of the border enclosing the
+                update menu.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the update menu.
+            buttons
+                A tuple of :class:`plotly.graph_objects.layout.
+                updatemenu.Button` instances or dicts with
+                compatible properties
+            buttondefaults
+                When used in a template (as layout.template.lay
+                out.updatemenu.buttondefaults), sets the
+                default property values to use for elements of
+                layout.updatemenu.buttons
+            direction
+                Determines the direction in which the buttons
+                are laid out, whether in a dropdown menu or a
+                row/column of buttons. For `left` and `up`, the
+                buttons will still appear in left-to-right or
+                top-to-bottom order respectively.
+            font
+                Sets the font of the update menu button text.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            pad
+                Sets the padding around the buttons or dropdown
+                menu.
+            showactive
+                Highlights active dropdown item or active
+                button if true.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            type
+                Determines whether the buttons are accessible
+                via a dropdown menu or whether the buttons are
+                stacked horizontally or vertically
+            visible
+                Determines whether or not the update menu is
+                visible.
+            x
+                Sets the x position (in normalized coordinates)
+                of the update menu.
+            xanchor
+                Sets the update menu's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the range
+                selector.
+            y
+                Sets the y position (in normalized coordinates)
+                of the update menu.
+            yanchor
+                Sets the update menu's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the range
+                selector.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_violingap.py b/packages/python/plotly/plotly/validators/layout/_violingap.py
new file mode 100644
index 00000000000..7e5f6b6f051
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_violingap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ViolingapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="violingap", parent_name="layout", **kwargs):
+        super(ViolingapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_violingroupgap.py b/packages/python/plotly/plotly/validators/layout/_violingroupgap.py
new file mode 100644
index 00000000000..c5754d12d87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_violingroupgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ViolingroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="violingroupgap", parent_name="layout", **kwargs):
+        super(ViolingroupgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_violinmode.py b/packages/python/plotly/plotly/validators/layout/_violinmode.py
new file mode 100644
index 00000000000..848724e4d68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_violinmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ViolinmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="violinmode", parent_name="layout", **kwargs):
+        super(ViolinmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["group", "overlay"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_waterfallgap.py b/packages/python/plotly/plotly/validators/layout/_waterfallgap.py
new file mode 100644
index 00000000000..66f2addce48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_waterfallgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WaterfallgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="waterfallgap", parent_name="layout", **kwargs):
+        super(WaterfallgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_waterfallgroupgap.py b/packages/python/plotly/plotly/validators/layout/_waterfallgroupgap.py
new file mode 100644
index 00000000000..2a304a37fbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_waterfallgroupgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WaterfallgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="waterfallgroupgap", parent_name="layout", **kwargs):
+        super(WaterfallgroupgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_waterfallmode.py b/packages/python/plotly/plotly/validators/layout/_waterfallmode.py
new file mode 100644
index 00000000000..c04a7587649
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_waterfallmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WaterfallmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="waterfallmode", parent_name="layout", **kwargs):
+        super(WaterfallmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["group", "overlay"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_width.py b/packages/python/plotly/plotly/validators/layout/_width.py
new file mode 100644
index 00000000000..d33a3599582
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="layout", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 10),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_xaxis.py b/packages/python/plotly/plotly/validators/layout/_xaxis.py
new file mode 100644
index 00000000000..b7f6dd85ba5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_xaxis.py
@@ -0,0 +1,445 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="layout", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "XAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            anchor
+                If set to an opposite-letter axis id (e.g.
+                `x2`, `y`), this axis is bound to the
+                corresponding opposite-letter axis. If set to
+                "free", this axis' position is determined by
+                `position`.
+            automargin
+                Determines whether long tick labels
+                automatically grow the figure margins.
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            calendar
+                Sets the calendar system to use for `range` and
+                `tick0` if this is a date axis. This does not
+                set the calendar for interpreting data on this
+                axis, that's specified in the trace or via the
+                global `layout.calendar`
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            constrain
+                If this axis needs to be compressed (either due
+                to its own `scaleanchor` and `scaleratio` or
+                those of the other axis), determines how that
+                happens: by increasing the "range" (default),
+                or by decreasing the "domain".
+            constraintoward
+                If this axis needs to be compressed (either due
+                to its own `scaleanchor` and `scaleratio` or
+                those of the other axis), determines which
+                direction we push the originally specified plot
+                area. Options are "left", "center" (default),
+                and "right" for x axes, and "top", "middle"
+                (default), and "bottom" for y axes.
+            dividercolor
+                Sets the color of the dividers Only has an
+                effect on "multicategory" axes.
+            dividerwidth
+                Sets the width (in px) of the dividers Only has
+                an effect on "multicategory" axes.
+            domain
+                Sets the domain of this axis (in plot
+                fraction).
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            fixedrange
+                Determines whether or not this axis is zoom-
+                able. If true, then zoom is disabled.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            matches
+                If set to another axis id (e.g. `x2`, `y`), the
+                range of this axis will match the range of the
+                corresponding axis in data-coordinates space.
+                Moreover, matching axes share auto-range
+                values, category lists and histogram auto-bins.
+                Note that setting axes simultaneously in both a
+                `scaleanchor` and a `matches` constraint is
+                currently forbidden. Moreover, note that
+                matching axes must have the same `type`.
+            mirror
+                Determines if the axis lines or/and ticks are
+                mirrored to the opposite side of the plotting
+                area. If True, the axis lines are mirrored. If
+                "ticks", the axis lines and ticks are mirrored.
+                If False, mirroring is disable. If "all", axis
+                lines are mirrored on all shared-axes subplots.
+                If "allticks", axis lines and ticks are
+                mirrored on all shared-axes subplots.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            overlaying
+                If set a same-letter axis id, this axis is
+                overlaid on top of the corresponding same-
+                letter axis, with traces and axes visible for
+                both axes. If False, this axis does not overlay
+                any same-letter axes. In this case, for axes
+                with overlapping domains only the highest-
+                numbered axis will be visible.
+            position
+                Sets the position of this axis in the plotting
+                space (in normalized coordinates). Only has an
+                effect if `anchor` is set to "free".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangebreaks
+                A tuple of :class:`plotly.graph_objects.layout.
+                xaxis.Rangebreak` instances or dicts with
+                compatible properties
+            rangebreakdefaults
+                When used in a template (as layout.template.lay
+                out.xaxis.rangebreakdefaults), sets the default
+                property values to use for elements of
+                layout.xaxis.rangebreaks
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data. Applies
+                only to linear axes.
+            rangeselector
+                :class:`plotly.graph_objects.layout.xaxis.Range
+                selector` instance or dict with compatible
+                properties
+            rangeslider
+                :class:`plotly.graph_objects.layout.xaxis.Range
+                slider` instance or dict with compatible
+                properties
+            scaleanchor
+                If set to another axis id (e.g. `x2`, `y`), the
+                range of this axis changes together with the
+                range of the corresponding axis such that the
+                scale of pixels per unit is in a constant
+                ratio. Both axes are still zoomable, but when
+                you zoom one, the other will zoom the same
+                amount, keeping a fixed midpoint. `constrain`
+                and `constraintoward` determine how we enforce
+                the constraint. You can chain these, ie `yaxis:
+                {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
+                but you can only link axes of the same `type`.
+                The linked axis can have the opposite letter
+                (to constrain the aspect ratio) or the same
+                letter (to match scales across subplots). Loops
+                (`yaxis: {scaleanchor: *x*}, xaxis:
+                {scaleanchor: *y*}` or longer) are redundant
+                and the last constraint encountered will be
+                ignored to avoid possible inconsistent
+                constraints via `scaleratio`. Note that setting
+                axes simultaneously in both a `scaleanchor` and
+                a `matches` constraint is currently forbidden.
+            scaleratio
+                If this axis is linked to another by
+                `scaleanchor`, this determines the pixel to
+                unit scale ratio. For example, if this value is
+                10, then every unit on this axis spans 10 times
+                the number of pixels as a unit on the linked
+                axis. Use this for example to create an
+                elevation profile where the vertical scale is
+                exaggerated a fixed amount with respect to the
+                horizontal.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showdividers
+                Determines whether or not a dividers are drawn
+                between the category levels of this axis. Only
+                has an effect on "multicategory" axes.
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showspikes
+                Determines whether or not spikes (aka
+                droplines) are drawn for this axis. Note: This
+                only takes affect when hovermode = closest
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            side
+                Determines whether a x (y) axis is positioned
+                at the "bottom" ("left") or "top" ("right") of
+                the plotting area.
+            spikecolor
+                Sets the spike color. If undefined, will use
+                the series color
+            spikedash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            spikemode
+                Determines the drawing mode for the spike line
+                If "toaxis", the line is drawn from the data
+                point to the axis the  series is plotted on. If
+                "across", the line is drawn across the entire
+                plot area, and supercedes "toaxis". If
+                "marker", then a marker dot is drawn on the
+                axis the series is plotted on
+            spikesnap
+                Determines whether spikelines are stuck to the
+                cursor or to the closest datapoints.
+            spikethickness
+                Sets the width (in px) of the zero line.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                xaxis.Tickformatstop` instances or dicts with
+                compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.xaxis.tickformatstopdefaults), sets the
+                default property values to use for elements of
+                layout.xaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            tickson
+                Determines where ticks and grid lines are drawn
+                with respect to their corresponding tick
+                labels. Only has an effect for axes of `type`
+                "category" or "multicategory". When set to
+                "boundaries", ticks and grid lines are drawn
+                half a category to the left/bottom of labels.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.xaxis.Title
+                ` instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use layout.xaxis.title.font
+                instead. Sets this axis' title font. Note that
+                the title's font used to be customized by the
+                now deprecated `titlefont` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `range`, `autorange`, and `title` if in
+                `editable: true` configuration. Defaults to
+                `layout.uirevision`.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+            zeroline
+                Determines whether or not a line is drawn at
+                along the 0 value of this axis. If True, the
+                zero line is drawn on top of the grid lines.
+            zerolinecolor
+                Sets the line color of the zero line.
+            zerolinewidth
+                Sets the width (in px) of the zero line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/_yaxis.py b/packages/python/plotly/plotly/validators/layout/_yaxis.py
new file mode 100644
index 00000000000..1b7c12dab57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/_yaxis.py
@@ -0,0 +1,437 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="layout", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "YAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            anchor
+                If set to an opposite-letter axis id (e.g.
+                `x2`, `y`), this axis is bound to the
+                corresponding opposite-letter axis. If set to
+                "free", this axis' position is determined by
+                `position`.
+            automargin
+                Determines whether long tick labels
+                automatically grow the figure margins.
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            calendar
+                Sets the calendar system to use for `range` and
+                `tick0` if this is a date axis. This does not
+                set the calendar for interpreting data on this
+                axis, that's specified in the trace or via the
+                global `layout.calendar`
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            constrain
+                If this axis needs to be compressed (either due
+                to its own `scaleanchor` and `scaleratio` or
+                those of the other axis), determines how that
+                happens: by increasing the "range" (default),
+                or by decreasing the "domain".
+            constraintoward
+                If this axis needs to be compressed (either due
+                to its own `scaleanchor` and `scaleratio` or
+                those of the other axis), determines which
+                direction we push the originally specified plot
+                area. Options are "left", "center" (default),
+                and "right" for x axes, and "top", "middle"
+                (default), and "bottom" for y axes.
+            dividercolor
+                Sets the color of the dividers Only has an
+                effect on "multicategory" axes.
+            dividerwidth
+                Sets the width (in px) of the dividers Only has
+                an effect on "multicategory" axes.
+            domain
+                Sets the domain of this axis (in plot
+                fraction).
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            fixedrange
+                Determines whether or not this axis is zoom-
+                able. If true, then zoom is disabled.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            matches
+                If set to another axis id (e.g. `x2`, `y`), the
+                range of this axis will match the range of the
+                corresponding axis in data-coordinates space.
+                Moreover, matching axes share auto-range
+                values, category lists and histogram auto-bins.
+                Note that setting axes simultaneously in both a
+                `scaleanchor` and a `matches` constraint is
+                currently forbidden. Moreover, note that
+                matching axes must have the same `type`.
+            mirror
+                Determines if the axis lines or/and ticks are
+                mirrored to the opposite side of the plotting
+                area. If True, the axis lines are mirrored. If
+                "ticks", the axis lines and ticks are mirrored.
+                If False, mirroring is disable. If "all", axis
+                lines are mirrored on all shared-axes subplots.
+                If "allticks", axis lines and ticks are
+                mirrored on all shared-axes subplots.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            overlaying
+                If set a same-letter axis id, this axis is
+                overlaid on top of the corresponding same-
+                letter axis, with traces and axes visible for
+                both axes. If False, this axis does not overlay
+                any same-letter axes. In this case, for axes
+                with overlapping domains only the highest-
+                numbered axis will be visible.
+            position
+                Sets the position of this axis in the plotting
+                space (in normalized coordinates). Only has an
+                effect if `anchor` is set to "free".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangebreaks
+                A tuple of :class:`plotly.graph_objects.layout.
+                yaxis.Rangebreak` instances or dicts with
+                compatible properties
+            rangebreakdefaults
+                When used in a template (as layout.template.lay
+                out.yaxis.rangebreakdefaults), sets the default
+                property values to use for elements of
+                layout.yaxis.rangebreaks
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data. Applies
+                only to linear axes.
+            scaleanchor
+                If set to another axis id (e.g. `x2`, `y`), the
+                range of this axis changes together with the
+                range of the corresponding axis such that the
+                scale of pixels per unit is in a constant
+                ratio. Both axes are still zoomable, but when
+                you zoom one, the other will zoom the same
+                amount, keeping a fixed midpoint. `constrain`
+                and `constraintoward` determine how we enforce
+                the constraint. You can chain these, ie `yaxis:
+                {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
+                but you can only link axes of the same `type`.
+                The linked axis can have the opposite letter
+                (to constrain the aspect ratio) or the same
+                letter (to match scales across subplots). Loops
+                (`yaxis: {scaleanchor: *x*}, xaxis:
+                {scaleanchor: *y*}` or longer) are redundant
+                and the last constraint encountered will be
+                ignored to avoid possible inconsistent
+                constraints via `scaleratio`. Note that setting
+                axes simultaneously in both a `scaleanchor` and
+                a `matches` constraint is currently forbidden.
+            scaleratio
+                If this axis is linked to another by
+                `scaleanchor`, this determines the pixel to
+                unit scale ratio. For example, if this value is
+                10, then every unit on this axis spans 10 times
+                the number of pixels as a unit on the linked
+                axis. Use this for example to create an
+                elevation profile where the vertical scale is
+                exaggerated a fixed amount with respect to the
+                horizontal.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showdividers
+                Determines whether or not a dividers are drawn
+                between the category levels of this axis. Only
+                has an effect on "multicategory" axes.
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showspikes
+                Determines whether or not spikes (aka
+                droplines) are drawn for this axis. Note: This
+                only takes affect when hovermode = closest
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            side
+                Determines whether a x (y) axis is positioned
+                at the "bottom" ("left") or "top" ("right") of
+                the plotting area.
+            spikecolor
+                Sets the spike color. If undefined, will use
+                the series color
+            spikedash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            spikemode
+                Determines the drawing mode for the spike line
+                If "toaxis", the line is drawn from the data
+                point to the axis the  series is plotted on. If
+                "across", the line is drawn across the entire
+                plot area, and supercedes "toaxis". If
+                "marker", then a marker dot is drawn on the
+                axis the series is plotted on
+            spikesnap
+                Determines whether spikelines are stuck to the
+                cursor or to the closest datapoints.
+            spikethickness
+                Sets the width (in px) of the zero line.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                yaxis.Tickformatstop` instances or dicts with
+                compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.yaxis.tickformatstopdefaults), sets the
+                default property values to use for elements of
+                layout.yaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            tickson
+                Determines where ticks and grid lines are drawn
+                with respect to their corresponding tick
+                labels. Only has an effect for axes of `type`
+                "category" or "multicategory". When set to
+                "boundaries", ticks and grid lines are drawn
+                half a category to the left/bottom of labels.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.yaxis.Title
+                ` instance or dict with compatible properties
+            titlefont
+                Deprecated: Please use layout.yaxis.title.font
+                instead. Sets this axis' title font. Note that
+                the title's font used to be customized by the
+                now deprecated `titlefont` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `range`, `autorange`, and `title` if in
+                `editable: true` configuration. Defaults to
+                `layout.uirevision`.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+            zeroline
+                Determines whether or not a line is drawn at
+                along the 0 value of this axis. If True, the
+                zero line is drawn on top of the grid lines.
+            zerolinecolor
+                Sets the line color of the zero line.
+            zerolinewidth
+                Sets the width (in px) of the zero line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/angularaxis/__init__.py
index 299f5cdda83..6ac2e2551d8 100644
--- a/packages/python/plotly/plotly/validators/layout/angularaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/__init__.py
@@ -1,172 +1,32 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickorientation", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(TickorientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["horizontal", "vertical"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.angularaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "dflt": 0, "editType": "plot"},
-                    {"valType": "number", "dflt": 360, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndpaddingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="endpadding", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(EndpaddingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="domain", parent_name="layout.angularaxis", **kwargs
-    ):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._tickorientation import TickorientationValidator
+    from ._ticklen import TicklenValidator
+    from ._tickcolor import TickcolorValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._range import RangeValidator
+    from ._endpadding import EndpaddingValidator
+    from ._domain import DomainValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._tickorientation.TickorientationValidator",
+            "._ticklen.TicklenValidator",
+            "._tickcolor.TickcolorValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._range.RangeValidator",
+            "._endpadding.EndpaddingValidator",
+            "._domain.DomainValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_domain.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_domain.py
new file mode 100644
index 00000000000..4b57debb9b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_domain.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="domain", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_endpadding.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_endpadding.py
new file mode 100644
index 00000000000..559edbc6272
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_endpadding.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndpaddingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="endpadding", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(EndpaddingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_range.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_range.py
new file mode 100644
index 00000000000..8e414d98778
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_range.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.angularaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "dflt": 0, "editType": "plot"},
+                    {"valType": "number", "dflt": 360, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_showline.py
new file mode 100644
index 00000000000..65a792e116a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_showticklabels.py
new file mode 100644
index 00000000000..5285ebb4272
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_tickcolor.py
new file mode 100644
index 00000000000..aae6bbc636f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_ticklen.py
new file mode 100644
index 00000000000..081096b3583
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_tickorientation.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_tickorientation.py
new file mode 100644
index 00000000000..7714e52f7f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_tickorientation.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickorientation", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(TickorientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["horizontal", "vertical"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_ticksuffix.py
new file mode 100644
index 00000000000..413f80ef400
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/angularaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/angularaxis/_visible.py
new file mode 100644
index 00000000000..b50c8ffe305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/angularaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.angularaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/__init__.py b/packages/python/plotly/plotly/validators/layout/annotation/__init__.py
index e8574778962..bb35a40f62c 100644
--- a/packages/python/plotly/plotly/validators/layout/annotation/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/annotation/__init__.py
@@ -1,715 +1,98 @@
-import _plotly_utils.basevalidators
-
-
-class YshiftValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="yshift", parent_name="layout.annotation", **kwargs):
-        super(YshiftValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yref", parent_name="layout.annotation", **kwargs):
-        super(YrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["paper", "/^y([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YclickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="yclick", parent_name="layout.annotation", **kwargs):
-        super(YclickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="layout.annotation", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.annotation", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XshiftValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xshift", parent_name="layout.annotation", **kwargs):
-        super(XshiftValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xref", parent_name="layout.annotation", **kwargs):
-        super(XrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["paper", "/^x([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XclickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="xclick", parent_name="layout.annotation", **kwargs):
-        super(XclickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="layout.annotation", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.annotation", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="layout.annotation", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.annotation", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="valign", parent_name="layout.annotation", **kwargs):
-        super(ValignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="textangle", parent_name="layout.annotation", **kwargs
-    ):
-        super(TextangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="layout.annotation", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="layout.annotation", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartstandoffValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="startstandoff", parent_name="layout.annotation", **kwargs
-    ):
-        super(StartstandoffValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartarrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="startarrowsize", parent_name="layout.annotation", **kwargs
-    ):
-        super(StartarrowsizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0.3),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartarrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="startarrowhead", parent_name="layout.annotation", **kwargs
-    ):
-        super(StartarrowheadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 8),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="standoff", parent_name="layout.annotation", **kwargs
-    ):
-        super(StandoffValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowarrowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showarrow", parent_name="layout.annotation", **kwargs
-    ):
-        super(ShowarrowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="layout.annotation", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.annotation", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertext", parent_name="layout.annotation", **kwargs
-    ):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="hoverlabel", parent_name="layout.annotation", **kwargs
-    ):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the background color of the hover label.
-                By default uses the annotation's `bgcolor` made
-                opaque, or white if it was transparent.
-            bordercolor
-                Sets the border color of the hover label. By
-                default uses either dark grey or white, for
-                maximum contrast with `hoverlabel.bgcolor`.
-            font
-                Sets the hover label text font. By default uses
-                the global hover font and size, with color from
-                `hoverlabel.bordercolor`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="height", parent_name="layout.annotation", **kwargs):
-        super(HeightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.annotation", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ClicktoshowValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="clicktoshow", parent_name="layout.annotation", **kwargs
-    ):
-        super(ClicktoshowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [False, "onoff", "onout"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CaptureeventsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="captureevents", parent_name="layout.annotation", **kwargs
-    ):
-        super(CaptureeventsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="layout.annotation", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderpad", parent_name="layout.annotation", **kwargs
-    ):
-        super(BorderpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="layout.annotation", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.annotation", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AyrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ayref", parent_name="layout.annotation", **kwargs):
-        super(AyrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["pixel", "/^y([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AyValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="ay", parent_name="layout.annotation", **kwargs):
-        super(AyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AxrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="axref", parent_name="layout.annotation", **kwargs):
-        super(AxrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["pixel", "/^x([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AxValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="ax", parent_name="layout.annotation", **kwargs):
-        super(AxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="arrowwidth", parent_name="layout.annotation", **kwargs
-    ):
-        super(ArrowwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0.1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="arrowsize", parent_name="layout.annotation", **kwargs
-    ):
-        super(ArrowsizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0.3),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowsideValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(
-        self, plotly_name="arrowside", parent_name="layout.annotation", **kwargs
-    ):
-        super(ArrowsideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["end", "start"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="arrowhead", parent_name="layout.annotation", **kwargs
-    ):
-        super(ArrowheadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 8),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="arrowcolor", parent_name="layout.annotation", **kwargs
-    ):
-        super(ArrowcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="layout.annotation", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yshift import YshiftValidator
+    from ._yref import YrefValidator
+    from ._yclick import YclickValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xshift import XshiftValidator
+    from ._xref import XrefValidator
+    from ._xclick import XclickValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valign import ValignValidator
+    from ._textangle import TextangleValidator
+    from ._text import TextValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._startstandoff import StartstandoffValidator
+    from ._startarrowsize import StartarrowsizeValidator
+    from ._startarrowhead import StartarrowheadValidator
+    from ._standoff import StandoffValidator
+    from ._showarrow import ShowarrowValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._hovertext import HovertextValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._height import HeightValidator
+    from ._font import FontValidator
+    from ._clicktoshow import ClicktoshowValidator
+    from ._captureevents import CaptureeventsValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._borderpad import BorderpadValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._ayref import AyrefValidator
+    from ._ay import AyValidator
+    from ._axref import AxrefValidator
+    from ._ax import AxValidator
+    from ._arrowwidth import ArrowwidthValidator
+    from ._arrowsize import ArrowsizeValidator
+    from ._arrowside import ArrowsideValidator
+    from ._arrowhead import ArrowheadValidator
+    from ._arrowcolor import ArrowcolorValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yshift.YshiftValidator",
+            "._yref.YrefValidator",
+            "._yclick.YclickValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xshift.XshiftValidator",
+            "._xref.XrefValidator",
+            "._xclick.XclickValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valign.ValignValidator",
+            "._textangle.TextangleValidator",
+            "._text.TextValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._startstandoff.StartstandoffValidator",
+            "._startarrowsize.StartarrowsizeValidator",
+            "._startarrowhead.StartarrowheadValidator",
+            "._standoff.StandoffValidator",
+            "._showarrow.ShowarrowValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._hovertext.HovertextValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._height.HeightValidator",
+            "._font.FontValidator",
+            "._clicktoshow.ClicktoshowValidator",
+            "._captureevents.CaptureeventsValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._borderpad.BorderpadValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._ayref.AyrefValidator",
+            "._ay.AyValidator",
+            "._axref.AxrefValidator",
+            "._ax.AxValidator",
+            "._arrowwidth.ArrowwidthValidator",
+            "._arrowsize.ArrowsizeValidator",
+            "._arrowside.ArrowsideValidator",
+            "._arrowhead.ArrowheadValidator",
+            "._arrowcolor.ArrowcolorValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_align.py b/packages/python/plotly/plotly/validators/layout/annotation/_align.py
new file mode 100644
index 00000000000..530f37497bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_align.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="layout.annotation", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_arrowcolor.py b/packages/python/plotly/plotly/validators/layout/annotation/_arrowcolor.py
new file mode 100644
index 00000000000..e84a4be72b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_arrowcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="arrowcolor", parent_name="layout.annotation", **kwargs
+    ):
+        super(ArrowcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_arrowhead.py b/packages/python/plotly/plotly/validators/layout/annotation/_arrowhead.py
new file mode 100644
index 00000000000..1dce1e7b673
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_arrowhead.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="arrowhead", parent_name="layout.annotation", **kwargs
+    ):
+        super(ArrowheadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 8),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_arrowside.py b/packages/python/plotly/plotly/validators/layout/annotation/_arrowside.py
new file mode 100644
index 00000000000..f34c24f1f54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_arrowside.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowsideValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(
+        self, plotly_name="arrowside", parent_name="layout.annotation", **kwargs
+    ):
+        super(ArrowsideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["end", "start"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_arrowsize.py b/packages/python/plotly/plotly/validators/layout/annotation/_arrowsize.py
new file mode 100644
index 00000000000..bcc3df61905
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_arrowsize.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="arrowsize", parent_name="layout.annotation", **kwargs
+    ):
+        super(ArrowsizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0.3),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_arrowwidth.py b/packages/python/plotly/plotly/validators/layout/annotation/_arrowwidth.py
new file mode 100644
index 00000000000..1c4ef1edb86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_arrowwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="arrowwidth", parent_name="layout.annotation", **kwargs
+    ):
+        super(ArrowwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0.1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_ax.py b/packages/python/plotly/plotly/validators/layout/annotation/_ax.py
new file mode 100644
index 00000000000..60de7574a28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_ax.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AxValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="ax", parent_name="layout.annotation", **kwargs):
+        super(AxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_axref.py b/packages/python/plotly/plotly/validators/layout/annotation/_axref.py
new file mode 100644
index 00000000000..867f7012258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_axref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AxrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="axref", parent_name="layout.annotation", **kwargs):
+        super(AxrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["pixel", "/^x([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_ay.py b/packages/python/plotly/plotly/validators/layout/annotation/_ay.py
new file mode 100644
index 00000000000..4b1bdb03389
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_ay.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AyValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="ay", parent_name="layout.annotation", **kwargs):
+        super(AyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_ayref.py b/packages/python/plotly/plotly/validators/layout/annotation/_ayref.py
new file mode 100644
index 00000000000..debe63f392f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_ayref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AyrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ayref", parent_name="layout.annotation", **kwargs):
+        super(AyrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["pixel", "/^y([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/annotation/_bgcolor.py
new file mode 100644
index 00000000000..424ae1c6d3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.annotation", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/annotation/_bordercolor.py
new file mode 100644
index 00000000000..7d45305900b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="layout.annotation", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_borderpad.py b/packages/python/plotly/plotly/validators/layout/annotation/_borderpad.py
new file mode 100644
index 00000000000..336d870f84c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_borderpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderpad", parent_name="layout.annotation", **kwargs
+    ):
+        super(BorderpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/annotation/_borderwidth.py
new file mode 100644
index 00000000000..02de3a317de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="layout.annotation", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_captureevents.py b/packages/python/plotly/plotly/validators/layout/annotation/_captureevents.py
new file mode 100644
index 00000000000..b811e77e6f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_captureevents.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CaptureeventsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="captureevents", parent_name="layout.annotation", **kwargs
+    ):
+        super(CaptureeventsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_clicktoshow.py b/packages/python/plotly/plotly/validators/layout/annotation/_clicktoshow.py
new file mode 100644
index 00000000000..32a86924b25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_clicktoshow.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ClicktoshowValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="clicktoshow", parent_name="layout.annotation", **kwargs
+    ):
+        super(ClicktoshowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [False, "onoff", "onout"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_font.py b/packages/python/plotly/plotly/validators/layout/annotation/_font.py
new file mode 100644
index 00000000000..57b8bc2a16c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.annotation", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_height.py b/packages/python/plotly/plotly/validators/layout/annotation/_height.py
new file mode 100644
index 00000000000..fc3d4c68ff8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_height.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="height", parent_name="layout.annotation", **kwargs):
+        super(HeightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_hoverlabel.py b/packages/python/plotly/plotly/validators/layout/annotation/_hoverlabel.py
new file mode 100644
index 00000000000..3829000d8fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_hoverlabel.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="hoverlabel", parent_name="layout.annotation", **kwargs
+    ):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the background color of the hover label.
+                By default uses the annotation's `bgcolor` made
+                opaque, or white if it was transparent.
+            bordercolor
+                Sets the border color of the hover label. By
+                default uses either dark grey or white, for
+                maximum contrast with `hoverlabel.bgcolor`.
+            font
+                Sets the hover label text font. By default uses
+                the global hover font and size, with color from
+                `hoverlabel.bordercolor`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_hovertext.py b/packages/python/plotly/plotly/validators/layout/annotation/_hovertext.py
new file mode 100644
index 00000000000..f612def2aec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_hovertext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertext", parent_name="layout.annotation", **kwargs
+    ):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_name.py b/packages/python/plotly/plotly/validators/layout/annotation/_name.py
new file mode 100644
index 00000000000..e661e5b5b6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.annotation", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_opacity.py b/packages/python/plotly/plotly/validators/layout/annotation/_opacity.py
new file mode 100644
index 00000000000..f34cbdd1dc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="layout.annotation", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_showarrow.py b/packages/python/plotly/plotly/validators/layout/annotation/_showarrow.py
new file mode 100644
index 00000000000..c7ae73303f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_showarrow.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowarrowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showarrow", parent_name="layout.annotation", **kwargs
+    ):
+        super(ShowarrowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_standoff.py b/packages/python/plotly/plotly/validators/layout/annotation/_standoff.py
new file mode 100644
index 00000000000..f2ead84948b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_standoff.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="standoff", parent_name="layout.annotation", **kwargs
+    ):
+        super(StandoffValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_startarrowhead.py b/packages/python/plotly/plotly/validators/layout/annotation/_startarrowhead.py
new file mode 100644
index 00000000000..993d8832690
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_startarrowhead.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class StartarrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="startarrowhead", parent_name="layout.annotation", **kwargs
+    ):
+        super(StartarrowheadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 8),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_startarrowsize.py b/packages/python/plotly/plotly/validators/layout/annotation/_startarrowsize.py
new file mode 100644
index 00000000000..d3479642fa0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_startarrowsize.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StartarrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="startarrowsize", parent_name="layout.annotation", **kwargs
+    ):
+        super(StartarrowsizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0.3),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_startstandoff.py b/packages/python/plotly/plotly/validators/layout/annotation/_startstandoff.py
new file mode 100644
index 00000000000..eee9fbd6a64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_startstandoff.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StartstandoffValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="startstandoff", parent_name="layout.annotation", **kwargs
+    ):
+        super(StartstandoffValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/annotation/_templateitemname.py
new file mode 100644
index 00000000000..2d6bde0ad41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="layout.annotation", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_text.py b/packages/python/plotly/plotly/validators/layout/annotation/_text.py
new file mode 100644
index 00000000000..75894927482
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="layout.annotation", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_textangle.py b/packages/python/plotly/plotly/validators/layout/annotation/_textangle.py
new file mode 100644
index 00000000000..563e62d7402
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_textangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="textangle", parent_name="layout.annotation", **kwargs
+    ):
+        super(TextangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_valign.py b/packages/python/plotly/plotly/validators/layout/annotation/_valign.py
new file mode 100644
index 00000000000..f24a3b75305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_valign.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="valign", parent_name="layout.annotation", **kwargs):
+        super(ValignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_visible.py b/packages/python/plotly/plotly/validators/layout/annotation/_visible.py
new file mode 100644
index 00000000000..117fab9be72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.annotation", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_width.py b/packages/python/plotly/plotly/validators/layout/annotation/_width.py
new file mode 100644
index 00000000000..ac9cb097ead
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="layout.annotation", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_x.py b/packages/python/plotly/plotly/validators/layout/annotation/_x.py
new file mode 100644
index 00000000000..01e459a8a53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.annotation", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_xanchor.py b/packages/python/plotly/plotly/validators/layout/annotation/_xanchor.py
new file mode 100644
index 00000000000..5ed0bad5f3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="layout.annotation", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_xclick.py b/packages/python/plotly/plotly/validators/layout/annotation/_xclick.py
new file mode 100644
index 00000000000..a80f01e89b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_xclick.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XclickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="xclick", parent_name="layout.annotation", **kwargs):
+        super(XclickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_xref.py b/packages/python/plotly/plotly/validators/layout/annotation/_xref.py
new file mode 100644
index 00000000000..9a9afd77cbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_xref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xref", parent_name="layout.annotation", **kwargs):
+        super(XrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["paper", "/^x([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_xshift.py b/packages/python/plotly/plotly/validators/layout/annotation/_xshift.py
new file mode 100644
index 00000000000..12a611a6ea9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_xshift.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XshiftValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xshift", parent_name="layout.annotation", **kwargs):
+        super(XshiftValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_y.py b/packages/python/plotly/plotly/validators/layout/annotation/_y.py
new file mode 100644
index 00000000000..4ad554f346d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.annotation", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_yanchor.py b/packages/python/plotly/plotly/validators/layout/annotation/_yanchor.py
new file mode 100644
index 00000000000..6a304a35c49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="layout.annotation", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_yclick.py b/packages/python/plotly/plotly/validators/layout/annotation/_yclick.py
new file mode 100644
index 00000000000..c78089ee0f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_yclick.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YclickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="yclick", parent_name="layout.annotation", **kwargs):
+        super(YclickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_yref.py b/packages/python/plotly/plotly/validators/layout/annotation/_yref.py
new file mode 100644
index 00000000000..3931f4598a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_yref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yref", parent_name="layout.annotation", **kwargs):
+        super(YrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["paper", "/^y([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/_yshift.py b/packages/python/plotly/plotly/validators/layout/annotation/_yshift.py
new file mode 100644
index 00000000000..7fb3a084a14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/_yshift.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YshiftValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="yshift", parent_name="layout.annotation", **kwargs):
+        super(YshiftValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/font/__init__.py b/packages/python/plotly/plotly/validators/layout/annotation/font/__init__.py
index 7d225e6480d..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/annotation/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/annotation/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.annotation.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.annotation.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.annotation.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/font/_color.py b/packages/python/plotly/plotly/validators/layout/annotation/font/_color.py
new file mode 100644
index 00000000000..207415dad5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.annotation.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/font/_family.py b/packages/python/plotly/plotly/validators/layout/annotation/font/_family.py
new file mode 100644
index 00000000000..dfe065ae82b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.annotation.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/font/_size.py b/packages/python/plotly/plotly/validators/layout/annotation/font/_size.py
new file mode 100644
index 00000000000..ed2201f2c8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.annotation.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/__init__.py
index c9d46aa994a..3ab9188d96d 100644
--- a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/__init__.py
@@ -1,77 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.annotation.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="layout.annotation.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="layout.annotation.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._font import FontValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._font.FontValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..70be0e85368
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="layout.annotation.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..759338b132d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="layout.annotation.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_font.py
new file mode 100644
index 00000000000..a0193b73f1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.annotation.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/__init__.py
index 16dfca176b1..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.annotation.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.annotation.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.annotation.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..6ba0c6defcc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.annotation.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..fec3621b737
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.annotation.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..28ff804665b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/annotation/hoverlabel/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.annotation.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/__init__.py b/packages/python/plotly/plotly/validators/layout/coloraxis/__init__.py
index edf07cac6b2..9fa570ef1fc 100644
--- a/packages/python/plotly/plotly/validators/layout/coloraxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/__init__.py
@@ -1,356 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="layout.coloraxis", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="layout.coloraxis", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="layout.coloraxis", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="layout.coloraxis", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                coloraxis.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.coloraxis.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of
-                layout.coloraxis.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.coloraxis.c
-                olorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.coloraxis.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                layout.coloraxis.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="layout.coloraxis", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="layout.coloraxis", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="layout.coloraxis", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="layout.coloraxis", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="layout.coloraxis", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_autocolorscale.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_autocolorscale.py
new file mode 100644
index 00000000000..c974393c73e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="layout.coloraxis", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_cauto.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_cauto.py
new file mode 100644
index 00000000000..13450cd2443
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="layout.coloraxis", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_cmax.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_cmax.py
new file mode 100644
index 00000000000..8740937c672
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="layout.coloraxis", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_cmid.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_cmid.py
new file mode 100644
index 00000000000..5d1f104628e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="layout.coloraxis", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_cmin.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_cmin.py
new file mode 100644
index 00000000000..83195b0316b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="layout.coloraxis", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_colorbar.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_colorbar.py
new file mode 100644
index 00000000000..def4c909e7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="layout.coloraxis", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                coloraxis.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.coloraxis.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of
+                layout.coloraxis.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.coloraxis.c
+                olorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.coloraxis.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                layout.coloraxis.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_colorscale.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_colorscale.py
new file mode 100644
index 00000000000..933a2cafafc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="layout.coloraxis", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_reversescale.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_reversescale.py
new file mode 100644
index 00000000000..74e252c154a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="layout.coloraxis", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/_showscale.py b/packages/python/plotly/plotly/validators/layout/coloraxis/_showscale.py
new file mode 100644
index 00000000000..10aeb3bc1b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="layout.coloraxis", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/__init__.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/__init__.py
index 2c2bd6bbdef..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/__init__.py
@@ -1,819 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="layout.coloraxis.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.coloraxis.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..971f8949cfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..ad54bbfbd55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..f48108e5ccf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_dtick.py
new file mode 100644
index 00000000000..9bb7004d69c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..14eae523fa6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_len.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_len.py
new file mode 100644
index 00000000000..acc25312ba0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_lenmode.py
new file mode 100644
index 00000000000..66d100549f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_nticks.py
new file mode 100644
index 00000000000..84e3abdb0d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..cabd9bbd067
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..0d6c5ce9252
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..fdba6373567
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showexponent.py
new file mode 100644
index 00000000000..5434468d80f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..91031596258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..f0f534d5997
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..c718e67caa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_thickness.py
new file mode 100644
index 00000000000..a21ae21d3cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..0450b65d5f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tick0.py
new file mode 100644
index 00000000000..3bc62618862
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickangle.py
new file mode 100644
index 00000000000..8e47c19b3d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..64440a73ab6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickfont.py
new file mode 100644
index 00000000000..adf500a5b4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformat.py
new file mode 100644
index 00000000000..755798d2276
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..763b922ffa3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..9eb9453eecb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticklen.py
new file mode 100644
index 00000000000..dea2d80d7c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickmode.py
new file mode 100644
index 00000000000..8fe9de2de55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..a747ea40eb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticks.py
new file mode 100644
index 00000000000..7b11034cf13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..606322826ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticktext.py
new file mode 100644
index 00000000000..7a2cde8eb84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..230823a3d8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickvals.py
new file mode 100644
index 00000000000..c2df31f27e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..bafc04c1bd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="layout.coloraxis.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..9401256c930
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_title.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_title.py
new file mode 100644
index 00000000000..ecd2d8c1a67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_x.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_x.py
new file mode 100644
index 00000000000..1e8e5d82778
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_xanchor.py
new file mode 100644
index 00000000000..8acc8cb78ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_xpad.py
new file mode 100644
index 00000000000..c0d9b6e00e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_y.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_y.py
new file mode 100644
index 00000000000..98006a9c01f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_yanchor.py
new file mode 100644
index 00000000000..1fa3289db3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ypad.py
new file mode 100644
index 00000000000..f2f9d76e9e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="layout.coloraxis.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/__init__.py
index 92a771a37f3..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.coloraxis.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.coloraxis.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.coloraxis.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..8251642a997
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.coloraxis.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..c0e407963e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.coloraxis.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..73755108cbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.coloraxis.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/__init__.py
index 949c3999508..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.coloraxis.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.coloraxis.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.coloraxis.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.coloraxis.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.coloraxis.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..6f260c3d555
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.coloraxis.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..f77ada39d6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.coloraxis.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..9ea114b3c8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.coloraxis.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..92283aac54c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.coloraxis.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..8c4dbff3d02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.coloraxis.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/__init__.py
index e735c258702..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="layout.coloraxis.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="layout.coloraxis.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="layout.coloraxis.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_font.py
new file mode 100644
index 00000000000..fb4a5175d9c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="layout.coloraxis.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_side.py
new file mode 100644
index 00000000000..efd98fe3066
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="layout.coloraxis.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_text.py
new file mode 100644
index 00000000000..02096eb6df9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="layout.coloraxis.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/__init__.py
index eb2edd624cc..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.coloraxis.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.coloraxis.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.coloraxis.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..10963a38a84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.coloraxis.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..48e10c1a871
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.coloraxis.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..2a3a439418b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/coloraxis/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.coloraxis.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/colorscale/__init__.py b/packages/python/plotly/plotly/validators/layout/colorscale/__init__.py
index 0573ea6011b..db1a772f9f1 100644
--- a/packages/python/plotly/plotly/validators/layout/colorscale/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/colorscale/__init__.py
@@ -1,46 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SequentialminusValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="sequentialminus", parent_name="layout.colorscale", **kwargs
-    ):
-        super(SequentialminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SequentialValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="sequential", parent_name="layout.colorscale", **kwargs
-    ):
-        super(SequentialValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DivergingValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="diverging", parent_name="layout.colorscale", **kwargs
-    ):
-        super(DivergingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sequentialminus import SequentialminusValidator
+    from ._sequential import SequentialValidator
+    from ._diverging import DivergingValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sequentialminus.SequentialminusValidator",
+            "._sequential.SequentialValidator",
+            "._diverging.DivergingValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/colorscale/_diverging.py b/packages/python/plotly/plotly/validators/layout/colorscale/_diverging.py
new file mode 100644
index 00000000000..53c15ab3392
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/colorscale/_diverging.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DivergingValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="diverging", parent_name="layout.colorscale", **kwargs
+    ):
+        super(DivergingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/colorscale/_sequential.py b/packages/python/plotly/plotly/validators/layout/colorscale/_sequential.py
new file mode 100644
index 00000000000..7aaf2bc9c87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/colorscale/_sequential.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SequentialValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="sequential", parent_name="layout.colorscale", **kwargs
+    ):
+        super(SequentialValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/colorscale/_sequentialminus.py b/packages/python/plotly/plotly/validators/layout/colorscale/_sequentialminus.py
new file mode 100644
index 00000000000..b10fc776a93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/colorscale/_sequentialminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SequentialminusValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="sequentialminus", parent_name="layout.colorscale", **kwargs
+    ):
+        super(SequentialminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/font/__init__.py b/packages/python/plotly/plotly/validators/layout/font/__init__.py
index 4ae632e5078..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/font/__init__.py
@@ -1,43 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="layout.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="layout.font", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/font/_color.py b/packages/python/plotly/plotly/validators/layout/font/_color.py
new file mode 100644
index 00000000000..959cb99c02e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/font/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/font/_family.py b/packages/python/plotly/plotly/validators/layout/font/_family.py
new file mode 100644
index 00000000000..bdb07967bbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/font/_family.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="layout.font", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/font/_size.py b/packages/python/plotly/plotly/validators/layout/font/_size.py
new file mode 100644
index 00000000000..77710a4068a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/font/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="layout.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/__init__.py
index 6def604c85e..d629d83d2bc 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/__init__.py
@@ -1,575 +1,76 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="layout.geo", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.geo", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubunitwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="subunitwidth", parent_name="layout.geo", **kwargs):
-        super(SubunitwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubunitcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="subunitcolor", parent_name="layout.geo", **kwargs):
-        super(SubunitcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowsubunitsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showsubunits", parent_name="layout.geo", **kwargs):
-        super(ShowsubunitsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowriversValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showrivers", parent_name="layout.geo", **kwargs):
-        super(ShowriversValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowoceanValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showocean", parent_name="layout.geo", **kwargs):
-        super(ShowoceanValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlandValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showland", parent_name="layout.geo", **kwargs):
-        super(ShowlandValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlakesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlakes", parent_name="layout.geo", **kwargs):
-        super(ShowlakesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowframeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showframe", parent_name="layout.geo", **kwargs):
-        super(ShowframeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowcountriesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showcountries", parent_name="layout.geo", **kwargs):
-        super(ShowcountriesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowcoastlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showcoastlines", parent_name="layout.geo", **kwargs
-    ):
-        super(ShowcoastlinesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScopeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="scope", parent_name="layout.geo", **kwargs):
-        super(ScopeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "world",
-                    "usa",
-                    "europe",
-                    "asia",
-                    "africa",
-                    "north america",
-                    "south america",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RiverwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="riverwidth", parent_name="layout.geo", **kwargs):
-        super(RiverwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RivercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="rivercolor", parent_name="layout.geo", **kwargs):
-        super(RivercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ResolutionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="resolution", parent_name="layout.geo", **kwargs):
-        super(ResolutionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            coerce_number=kwargs.pop("coerce_number", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [110, 50]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ProjectionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="projection", parent_name="layout.geo", **kwargs):
-        super(ProjectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Projection"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            parallels
-                For conic projection types only. Sets the
-                parallels (tangent, secant) where the cone
-                intersects the sphere.
-            rotation
-                :class:`plotly.graph_objects.layout.geo.project
-                ion.Rotation` instance or dict with compatible
-                properties
-            scale
-                Zooms in or out on the map view. A scale of 1
-                corresponds to the largest zoom level that fits
-                the map's lon and lat ranges.
-            type
-                Sets the projection type.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OceancolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="oceancolor", parent_name="layout.geo", **kwargs):
-        super(OceancolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lonaxis", parent_name="layout.geo", **kwargs):
-        super(LonaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lonaxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtick
-                Sets the graticule's longitude/latitude tick
-                step.
-            gridcolor
-                Sets the graticule's stroke color.
-            gridwidth
-                Sets the graticule's stroke width (in px).
-            range
-                Sets the range of this axis (in degrees), sets
-                the map's clipped coordinates.
-            showgrid
-                Sets whether or not graticule are shown on the
-                map.
-            tick0
-                Sets the graticule's starting tick
-                longitude/latitude.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LataxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lataxis", parent_name="layout.geo", **kwargs):
-        super(LataxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lataxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtick
-                Sets the graticule's longitude/latitude tick
-                step.
-            gridcolor
-                Sets the graticule's stroke color.
-            gridwidth
-                Sets the graticule's stroke width (in px).
-            range
-                Sets the range of this axis (in degrees), sets
-                the map's clipped coordinates.
-            showgrid
-                Sets whether or not graticule are shown on the
-                map.
-            tick0
-                Sets the graticule's starting tick
-                longitude/latitude.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LandcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="landcolor", parent_name="layout.geo", **kwargs):
-        super(LandcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LakecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="lakecolor", parent_name="layout.geo", **kwargs):
-        super(LakecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FramewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="framewidth", parent_name="layout.geo", **kwargs):
-        super(FramewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FramecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="framecolor", parent_name="layout.geo", **kwargs):
-        super(FramecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FitboundsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fitbounds", parent_name="layout.geo", **kwargs):
-        super(FitboundsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [False, "locations", "geojson"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.geo", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this geo subplot .
-                Note that geo subplots are constrained by
-                domain. In general, when `projection.scale` is
-                set to 1. a map will fit either its x or y
-                domain, but not both.
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this geo subplot .
-                Note that geo subplots are constrained by
-                domain. In general, when `projection.scale` is
-                set to 1. a map will fit either its x or y
-                domain, but not both.
-            x
-                Sets the horizontal domain of this geo subplot
-                (in plot fraction). Note that geo subplots are
-                constrained by domain. In general, when
-                `projection.scale` is set to 1. a map will fit
-                either its x or y domain, but not both.
-            y
-                Sets the vertical domain of this geo subplot
-                (in plot fraction). Note that geo subplots are
-                constrained by domain. In general, when
-                `projection.scale` is set to 1. a map will fit
-                either its x or y domain, but not both.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountrywidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="countrywidth", parent_name="layout.geo", **kwargs):
-        super(CountrywidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountrycolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="countrycolor", parent_name="layout.geo", **kwargs):
-        super(CountrycolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CoastlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="coastlinewidth", parent_name="layout.geo", **kwargs
-    ):
-        super(CoastlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CoastlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="coastlinecolor", parent_name="layout.geo", **kwargs
-    ):
-        super(CoastlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="center", parent_name="layout.geo", **kwargs):
-        super(CenterValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Center"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            lat
-                Sets the latitude of the map's center. For all
-                projection types, the map's latitude center
-                lies at the middle of the latitude range by
-                default.
-            lon
-                Sets the longitude of the map's center. By
-                default, the map's longitude center lies at the
-                middle of the longitude range for scoped
-                projection and above `projection.rotation.lon`
-                otherwise.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.geo", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._subunitwidth import SubunitwidthValidator
+    from ._subunitcolor import SubunitcolorValidator
+    from ._showsubunits import ShowsubunitsValidator
+    from ._showrivers import ShowriversValidator
+    from ._showocean import ShowoceanValidator
+    from ._showland import ShowlandValidator
+    from ._showlakes import ShowlakesValidator
+    from ._showframe import ShowframeValidator
+    from ._showcountries import ShowcountriesValidator
+    from ._showcoastlines import ShowcoastlinesValidator
+    from ._scope import ScopeValidator
+    from ._riverwidth import RiverwidthValidator
+    from ._rivercolor import RivercolorValidator
+    from ._resolution import ResolutionValidator
+    from ._projection import ProjectionValidator
+    from ._oceancolor import OceancolorValidator
+    from ._lonaxis import LonaxisValidator
+    from ._lataxis import LataxisValidator
+    from ._landcolor import LandcolorValidator
+    from ._lakecolor import LakecolorValidator
+    from ._framewidth import FramewidthValidator
+    from ._framecolor import FramecolorValidator
+    from ._fitbounds import FitboundsValidator
+    from ._domain import DomainValidator
+    from ._countrywidth import CountrywidthValidator
+    from ._countrycolor import CountrycolorValidator
+    from ._coastlinewidth import CoastlinewidthValidator
+    from ._coastlinecolor import CoastlinecolorValidator
+    from ._center import CenterValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._subunitwidth.SubunitwidthValidator",
+            "._subunitcolor.SubunitcolorValidator",
+            "._showsubunits.ShowsubunitsValidator",
+            "._showrivers.ShowriversValidator",
+            "._showocean.ShowoceanValidator",
+            "._showland.ShowlandValidator",
+            "._showlakes.ShowlakesValidator",
+            "._showframe.ShowframeValidator",
+            "._showcountries.ShowcountriesValidator",
+            "._showcoastlines.ShowcoastlinesValidator",
+            "._scope.ScopeValidator",
+            "._riverwidth.RiverwidthValidator",
+            "._rivercolor.RivercolorValidator",
+            "._resolution.ResolutionValidator",
+            "._projection.ProjectionValidator",
+            "._oceancolor.OceancolorValidator",
+            "._lonaxis.LonaxisValidator",
+            "._lataxis.LataxisValidator",
+            "._landcolor.LandcolorValidator",
+            "._lakecolor.LakecolorValidator",
+            "._framewidth.FramewidthValidator",
+            "._framecolor.FramecolorValidator",
+            "._fitbounds.FitboundsValidator",
+            "._domain.DomainValidator",
+            "._countrywidth.CountrywidthValidator",
+            "._countrycolor.CountrycolorValidator",
+            "._coastlinewidth.CoastlinewidthValidator",
+            "._coastlinecolor.CoastlinecolorValidator",
+            "._center.CenterValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/geo/_bgcolor.py
new file mode 100644
index 00000000000..dc4814dfbc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.geo", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_center.py b/packages/python/plotly/plotly/validators/layout/geo/_center.py
new file mode 100644
index 00000000000..d6686e12ed9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_center.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="center", parent_name="layout.geo", **kwargs):
+        super(CenterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Center"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            lat
+                Sets the latitude of the map's center. For all
+                projection types, the map's latitude center
+                lies at the middle of the latitude range by
+                default.
+            lon
+                Sets the longitude of the map's center. By
+                default, the map's longitude center lies at the
+                middle of the longitude range for scoped
+                projection and above `projection.rotation.lon`
+                otherwise.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_coastlinecolor.py b/packages/python/plotly/plotly/validators/layout/geo/_coastlinecolor.py
new file mode 100644
index 00000000000..c8d4073e9da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_coastlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CoastlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="coastlinecolor", parent_name="layout.geo", **kwargs
+    ):
+        super(CoastlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_coastlinewidth.py b/packages/python/plotly/plotly/validators/layout/geo/_coastlinewidth.py
new file mode 100644
index 00000000000..d5c869e7123
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_coastlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CoastlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="coastlinewidth", parent_name="layout.geo", **kwargs
+    ):
+        super(CoastlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_countrycolor.py b/packages/python/plotly/plotly/validators/layout/geo/_countrycolor.py
new file mode 100644
index 00000000000..c655602bf14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_countrycolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CountrycolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="countrycolor", parent_name="layout.geo", **kwargs):
+        super(CountrycolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_countrywidth.py b/packages/python/plotly/plotly/validators/layout/geo/_countrywidth.py
new file mode 100644
index 00000000000..79406dd14bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_countrywidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CountrywidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="countrywidth", parent_name="layout.geo", **kwargs):
+        super(CountrywidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_domain.py b/packages/python/plotly/plotly/validators/layout/geo/_domain.py
new file mode 100644
index 00000000000..722ca54cb6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_domain.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.geo", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this geo subplot .
+                Note that geo subplots are constrained by
+                domain. In general, when `projection.scale` is
+                set to 1. a map will fit either its x or y
+                domain, but not both.
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this geo subplot .
+                Note that geo subplots are constrained by
+                domain. In general, when `projection.scale` is
+                set to 1. a map will fit either its x or y
+                domain, but not both.
+            x
+                Sets the horizontal domain of this geo subplot
+                (in plot fraction). Note that geo subplots are
+                constrained by domain. In general, when
+                `projection.scale` is set to 1. a map will fit
+                either its x or y domain, but not both.
+            y
+                Sets the vertical domain of this geo subplot
+                (in plot fraction). Note that geo subplots are
+                constrained by domain. In general, when
+                `projection.scale` is set to 1. a map will fit
+                either its x or y domain, but not both.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_fitbounds.py b/packages/python/plotly/plotly/validators/layout/geo/_fitbounds.py
new file mode 100644
index 00000000000..b88f160a633
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_fitbounds.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FitboundsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fitbounds", parent_name="layout.geo", **kwargs):
+        super(FitboundsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [False, "locations", "geojson"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_framecolor.py b/packages/python/plotly/plotly/validators/layout/geo/_framecolor.py
new file mode 100644
index 00000000000..c9732e85d47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_framecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FramecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="framecolor", parent_name="layout.geo", **kwargs):
+        super(FramecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_framewidth.py b/packages/python/plotly/plotly/validators/layout/geo/_framewidth.py
new file mode 100644
index 00000000000..79ebd8a15c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_framewidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FramewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="framewidth", parent_name="layout.geo", **kwargs):
+        super(FramewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_lakecolor.py b/packages/python/plotly/plotly/validators/layout/geo/_lakecolor.py
new file mode 100644
index 00000000000..58677606c74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_lakecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LakecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="lakecolor", parent_name="layout.geo", **kwargs):
+        super(LakecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_landcolor.py b/packages/python/plotly/plotly/validators/layout/geo/_landcolor.py
new file mode 100644
index 00000000000..8f4b12507c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_landcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LandcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="landcolor", parent_name="layout.geo", **kwargs):
+        super(LandcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_lataxis.py b/packages/python/plotly/plotly/validators/layout/geo/_lataxis.py
new file mode 100644
index 00000000000..900482c5ec4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_lataxis.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class LataxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lataxis", parent_name="layout.geo", **kwargs):
+        super(LataxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lataxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtick
+                Sets the graticule's longitude/latitude tick
+                step.
+            gridcolor
+                Sets the graticule's stroke color.
+            gridwidth
+                Sets the graticule's stroke width (in px).
+            range
+                Sets the range of this axis (in degrees), sets
+                the map's clipped coordinates.
+            showgrid
+                Sets whether or not graticule are shown on the
+                map.
+            tick0
+                Sets the graticule's starting tick
+                longitude/latitude.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_lonaxis.py b/packages/python/plotly/plotly/validators/layout/geo/_lonaxis.py
new file mode 100644
index 00000000000..874abf0d1b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_lonaxis.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class LonaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lonaxis", parent_name="layout.geo", **kwargs):
+        super(LonaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lonaxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtick
+                Sets the graticule's longitude/latitude tick
+                step.
+            gridcolor
+                Sets the graticule's stroke color.
+            gridwidth
+                Sets the graticule's stroke width (in px).
+            range
+                Sets the range of this axis (in degrees), sets
+                the map's clipped coordinates.
+            showgrid
+                Sets whether or not graticule are shown on the
+                map.
+            tick0
+                Sets the graticule's starting tick
+                longitude/latitude.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_oceancolor.py b/packages/python/plotly/plotly/validators/layout/geo/_oceancolor.py
new file mode 100644
index 00000000000..d11a23fc700
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_oceancolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OceancolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="oceancolor", parent_name="layout.geo", **kwargs):
+        super(OceancolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_projection.py b/packages/python/plotly/plotly/validators/layout/geo/_projection.py
new file mode 100644
index 00000000000..7b81e9130fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_projection.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class ProjectionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="projection", parent_name="layout.geo", **kwargs):
+        super(ProjectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Projection"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            parallels
+                For conic projection types only. Sets the
+                parallels (tangent, secant) where the cone
+                intersects the sphere.
+            rotation
+                :class:`plotly.graph_objects.layout.geo.project
+                ion.Rotation` instance or dict with compatible
+                properties
+            scale
+                Zooms in or out on the map view. A scale of 1
+                corresponds to the largest zoom level that fits
+                the map's lon and lat ranges.
+            type
+                Sets the projection type.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_resolution.py b/packages/python/plotly/plotly/validators/layout/geo/_resolution.py
new file mode 100644
index 00000000000..4cc1117b2bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_resolution.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ResolutionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="resolution", parent_name="layout.geo", **kwargs):
+        super(ResolutionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            coerce_number=kwargs.pop("coerce_number", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [110, 50]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_rivercolor.py b/packages/python/plotly/plotly/validators/layout/geo/_rivercolor.py
new file mode 100644
index 00000000000..58f4214a92f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_rivercolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RivercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="rivercolor", parent_name="layout.geo", **kwargs):
+        super(RivercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_riverwidth.py b/packages/python/plotly/plotly/validators/layout/geo/_riverwidth.py
new file mode 100644
index 00000000000..acd246f57eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_riverwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RiverwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="riverwidth", parent_name="layout.geo", **kwargs):
+        super(RiverwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_scope.py b/packages/python/plotly/plotly/validators/layout/geo/_scope.py
new file mode 100644
index 00000000000..79c3a5efeb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_scope.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class ScopeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="scope", parent_name="layout.geo", **kwargs):
+        super(ScopeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "world",
+                    "usa",
+                    "europe",
+                    "asia",
+                    "africa",
+                    "north america",
+                    "south america",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showcoastlines.py b/packages/python/plotly/plotly/validators/layout/geo/_showcoastlines.py
new file mode 100644
index 00000000000..8b30ebcae93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showcoastlines.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowcoastlinesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showcoastlines", parent_name="layout.geo", **kwargs
+    ):
+        super(ShowcoastlinesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showcountries.py b/packages/python/plotly/plotly/validators/layout/geo/_showcountries.py
new file mode 100644
index 00000000000..0ff662084f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showcountries.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowcountriesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showcountries", parent_name="layout.geo", **kwargs):
+        super(ShowcountriesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showframe.py b/packages/python/plotly/plotly/validators/layout/geo/_showframe.py
new file mode 100644
index 00000000000..f5883640e73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showframe.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowframeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showframe", parent_name="layout.geo", **kwargs):
+        super(ShowframeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showlakes.py b/packages/python/plotly/plotly/validators/layout/geo/_showlakes.py
new file mode 100644
index 00000000000..5a242c6dcac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showlakes.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlakesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlakes", parent_name="layout.geo", **kwargs):
+        super(ShowlakesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showland.py b/packages/python/plotly/plotly/validators/layout/geo/_showland.py
new file mode 100644
index 00000000000..29d4e550220
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showland.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlandValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showland", parent_name="layout.geo", **kwargs):
+        super(ShowlandValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showocean.py b/packages/python/plotly/plotly/validators/layout/geo/_showocean.py
new file mode 100644
index 00000000000..e947180bef3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showocean.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowoceanValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showocean", parent_name="layout.geo", **kwargs):
+        super(ShowoceanValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showrivers.py b/packages/python/plotly/plotly/validators/layout/geo/_showrivers.py
new file mode 100644
index 00000000000..58d6fef33a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showrivers.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowriversValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showrivers", parent_name="layout.geo", **kwargs):
+        super(ShowriversValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_showsubunits.py b/packages/python/plotly/plotly/validators/layout/geo/_showsubunits.py
new file mode 100644
index 00000000000..56f9feab026
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_showsubunits.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowsubunitsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showsubunits", parent_name="layout.geo", **kwargs):
+        super(ShowsubunitsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_subunitcolor.py b/packages/python/plotly/plotly/validators/layout/geo/_subunitcolor.py
new file mode 100644
index 00000000000..277159af328
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_subunitcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SubunitcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="subunitcolor", parent_name="layout.geo", **kwargs):
+        super(SubunitcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_subunitwidth.py b/packages/python/plotly/plotly/validators/layout/geo/_subunitwidth.py
new file mode 100644
index 00000000000..33a581a3ada
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_subunitwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubunitwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="subunitwidth", parent_name="layout.geo", **kwargs):
+        super(SubunitwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_uirevision.py b/packages/python/plotly/plotly/validators/layout/geo/_uirevision.py
new file mode 100644
index 00000000000..a896b8caac3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.geo", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/_visible.py b/packages/python/plotly/plotly/validators/layout/geo/_visible.py
new file mode 100644
index 00000000000..ee7a5961e06
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="layout.geo", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/center/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/center/__init__.py
index 7299813e617..814a8fe0eed 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/center/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/center/__init__.py
@@ -1,26 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._lon import LonValidator
+    from ._lat import LatValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="lon", parent_name="layout.geo.center", **kwargs):
-        super(LonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="lat", parent_name="layout.geo.center", **kwargs):
-        super(LatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._lon.LonValidator", "._lat.LatValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/center/_lat.py b/packages/python/plotly/plotly/validators/layout/geo/center/_lat.py
new file mode 100644
index 00000000000..df0d54a39f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/center/_lat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="lat", parent_name="layout.geo.center", **kwargs):
+        super(LatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/center/_lon.py b/packages/python/plotly/plotly/validators/layout/geo/center/_lon.py
new file mode 100644
index 00000000000..0007cb1eaaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/center/_lon.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="lon", parent_name="layout.geo.center", **kwargs):
+        super(LonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/domain/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/domain/__init__.py
index 2cfef7e0344..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.geo.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.geo.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="layout.geo.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="layout.geo.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/domain/_column.py b/packages/python/plotly/plotly/validators/layout/geo/domain/_column.py
new file mode 100644
index 00000000000..ff2b7061b7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="layout.geo.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/domain/_row.py b/packages/python/plotly/plotly/validators/layout/geo/domain/_row.py
new file mode 100644
index 00000000000..ea5b93a3592
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="layout.geo.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/domain/_x.py b/packages/python/plotly/plotly/validators/layout/geo/domain/_x.py
new file mode 100644
index 00000000000..2df2fe963b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.geo.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/domain/_y.py b/packages/python/plotly/plotly/validators/layout/geo/domain/_y.py
new file mode 100644
index 00000000000..6d052815fd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.geo.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/__init__.py
index 228d2eabea7..7c8d027dbf7 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/lataxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/__init__.py
@@ -1,96 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.geo.lataxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.geo.lataxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.geo.lataxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.geo.lataxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.geo.lataxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.geo.lataxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._tick0 import Tick0Validator
+    from ._showgrid import ShowgridValidator
+    from ._range import RangeValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._dtick import DtickValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._tick0.Tick0Validator",
+            "._showgrid.ShowgridValidator",
+            "._range.RangeValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._dtick.DtickValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_dtick.py
new file mode 100644
index 00000000000..8c465379aeb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_dtick.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.geo.lataxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_gridcolor.py
new file mode 100644
index 00000000000..8ecfbf53a3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.geo.lataxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_gridwidth.py
new file mode 100644
index 00000000000..2394bff7961
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.geo.lataxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/_range.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_range.py
new file mode 100644
index 00000000000..8f71e7dc086
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_range.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.geo.lataxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_showgrid.py
new file mode 100644
index 00000000000..762291d54c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.geo.lataxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lataxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_tick0.py
new file mode 100644
index 00000000000..43c54bc6dfe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lataxis/_tick0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.geo.lataxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/__init__.py
index 85e97c1ec87..7c8d027dbf7 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/__init__.py
@@ -1,96 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.geo.lonaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.geo.lonaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.geo.lonaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.geo.lonaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.geo.lonaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.geo.lonaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._tick0 import Tick0Validator
+    from ._showgrid import ShowgridValidator
+    from ._range import RangeValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._dtick import DtickValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._tick0.Tick0Validator",
+            "._showgrid.ShowgridValidator",
+            "._range.RangeValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._dtick.DtickValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_dtick.py
new file mode 100644
index 00000000000..11120c09b8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_dtick.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.geo.lonaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_gridcolor.py
new file mode 100644
index 00000000000..d0afb9da048
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.geo.lonaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_gridwidth.py
new file mode 100644
index 00000000000..0f53d06478a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.geo.lonaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_range.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_range.py
new file mode 100644
index 00000000000..6383682fd66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_range.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.geo.lonaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_showgrid.py
new file mode 100644
index 00000000000..9afe82c1e24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.geo.lonaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_tick0.py
new file mode 100644
index 00000000000..68ff3dbe112
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/lonaxis/_tick0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.geo.lonaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/projection/__init__.py
index c444a1467db..8fb55f7c342 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/projection/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/__init__.py
@@ -1,111 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="layout.geo.projection", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "equirectangular",
-                    "mercator",
-                    "orthographic",
-                    "natural earth",
-                    "kavrayskiy7",
-                    "miller",
-                    "robinson",
-                    "eckert4",
-                    "azimuthal equal area",
-                    "azimuthal equidistant",
-                    "conic equal area",
-                    "conic conformal",
-                    "conic equidistant",
-                    "gnomonic",
-                    "stereographic",
-                    "mollweide",
-                    "hammer",
-                    "transverse mercator",
-                    "albers usa",
-                    "winkel tripel",
-                    "aitoff",
-                    "sinusoidal",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="scale", parent_name="layout.geo.projection", **kwargs
-    ):
-        super(ScaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RotationValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="rotation", parent_name="layout.geo.projection", **kwargs
-    ):
-        super(RotationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rotation"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            lat
-                Rotates the map along meridians (in degrees
-                North).
-            lon
-                Rotates the map along parallels (in degrees
-                East). Defaults to the center of the
-                `lonaxis.range` values.
-            roll
-                Roll the map (in degrees) For example, a roll
-                of 180 makes the map appear upside down.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParallelsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="parallels", parent_name="layout.geo.projection", **kwargs
-    ):
-        super(ParallelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._type import TypeValidator
+    from ._scale import ScaleValidator
+    from ._rotation import RotationValidator
+    from ._parallels import ParallelsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._type.TypeValidator",
+            "._scale.ScaleValidator",
+            "._rotation.RotationValidator",
+            "._parallels.ParallelsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/_parallels.py b/packages/python/plotly/plotly/validators/layout/geo/projection/_parallels.py
new file mode 100644
index 00000000000..7bd594208b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/_parallels.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class ParallelsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="parallels", parent_name="layout.geo.projection", **kwargs
+    ):
+        super(ParallelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/_rotation.py b/packages/python/plotly/plotly/validators/layout/geo/projection/_rotation.py
new file mode 100644
index 00000000000..6606ec9ffdf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/_rotation.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class RotationValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="rotation", parent_name="layout.geo.projection", **kwargs
+    ):
+        super(RotationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rotation"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            lat
+                Rotates the map along meridians (in degrees
+                North).
+            lon
+                Rotates the map along parallels (in degrees
+                East). Defaults to the center of the
+                `lonaxis.range` values.
+            roll
+                Roll the map (in degrees) For example, a roll
+                of 180 makes the map appear upside down.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/_scale.py b/packages/python/plotly/plotly/validators/layout/geo/projection/_scale.py
new file mode 100644
index 00000000000..5ad543d8dc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/_scale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="scale", parent_name="layout.geo.projection", **kwargs
+    ):
+        super(ScaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/_type.py b/packages/python/plotly/plotly/validators/layout/geo/projection/_type.py
new file mode 100644
index 00000000000..8938a5c8415
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/_type.py
@@ -0,0 +1,41 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="layout.geo.projection", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "equirectangular",
+                    "mercator",
+                    "orthographic",
+                    "natural earth",
+                    "kavrayskiy7",
+                    "miller",
+                    "robinson",
+                    "eckert4",
+                    "azimuthal equal area",
+                    "azimuthal equidistant",
+                    "conic equal area",
+                    "conic conformal",
+                    "conic equidistant",
+                    "gnomonic",
+                    "stereographic",
+                    "mollweide",
+                    "hammer",
+                    "transverse mercator",
+                    "albers usa",
+                    "winkel tripel",
+                    "aitoff",
+                    "sinusoidal",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/__init__.py b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/__init__.py
index ab3accafbac..71b5d2feb00 100644
--- a/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/__init__.py
@@ -1,46 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class RollValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="roll", parent_name="layout.geo.projection.rotation", **kwargs
-    ):
-        super(RollValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="lon", parent_name="layout.geo.projection.rotation", **kwargs
-    ):
-        super(LonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="lat", parent_name="layout.geo.projection.rotation", **kwargs
-    ):
-        super(LatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._roll import RollValidator
+    from ._lon import LonValidator
+    from ._lat import LatValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._roll.RollValidator", "._lon.LonValidator", "._lat.LatValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_lat.py b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_lat.py
new file mode 100644
index 00000000000..1c02176c774
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_lat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LatValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="lat", parent_name="layout.geo.projection.rotation", **kwargs
+    ):
+        super(LatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_lon.py b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_lon.py
new file mode 100644
index 00000000000..088d9845ece
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_lon.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="lon", parent_name="layout.geo.projection.rotation", **kwargs
+    ):
+        super(LonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_roll.py b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_roll.py
new file mode 100644
index 00000000000..e37fcee0fba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/geo/projection/rotation/_roll.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class RollValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="roll", parent_name="layout.geo.projection.rotation", **kwargs
+    ):
+        super(RollValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/__init__.py b/packages/python/plotly/plotly/validators/layout/grid/__init__.py
index 04b2b875c6e..b6ef3806fc3 100644
--- a/packages/python/plotly/plotly/validators/layout/grid/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/grid/__init__.py
@@ -1,218 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class YsideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yside", parent_name="layout.grid", **kwargs):
-        super(YsideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["left", "left plot", "right plot", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ygap", parent_name="layout.grid", **kwargs):
-        super(YgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="yaxes", parent_name="layout.grid", **kwargs):
-        super(YaxesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                {
-                    "valType": "enumerated",
-                    "values": ["/^y([2-9]|[1-9][0-9]+)?$/", ""],
-                    "editType": "plot",
-                },
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xside", parent_name="layout.grid", **kwargs):
-        super(XsideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["bottom", "bottom plot", "top plot", "top"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xgap", parent_name="layout.grid", **kwargs):
-        super(XgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="xaxes", parent_name="layout.grid", **kwargs):
-        super(XaxesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                {
-                    "valType": "enumerated",
-                    "values": ["/^x([2-9]|[1-9][0-9]+)?$/", ""],
-                    "editType": "plot",
-                },
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="subplots", parent_name="layout.grid", **kwargs):
-        super(SubplotsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dimensions=kwargs.pop("dimensions", 2),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                {
-                    "valType": "enumerated",
-                    "values": ["/^x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?$/", ""],
-                    "editType": "plot",
-                },
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowsValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="rows", parent_name="layout.grid", **kwargs):
-        super(RowsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoworderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="roworder", parent_name="layout.grid", **kwargs):
-        super(RoworderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top to bottom", "bottom to top"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PatternValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="pattern", parent_name="layout.grid", **kwargs):
-        super(PatternValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["independent", "coupled"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.grid", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Sets the horizontal domain of this grid subplot
-                (in plot fraction). The first and last cells
-                end exactly at the domain edges, with no grout
-                around the edges.
-            y
-                Sets the vertical domain of this grid subplot
-                (in plot fraction). The first and last cells
-                end exactly at the domain edges, with no grout
-                around the edges.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnsValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="columns", parent_name="layout.grid", **kwargs):
-        super(ColumnsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yside import YsideValidator
+    from ._ygap import YgapValidator
+    from ._yaxes import YaxesValidator
+    from ._xside import XsideValidator
+    from ._xgap import XgapValidator
+    from ._xaxes import XaxesValidator
+    from ._subplots import SubplotsValidator
+    from ._rows import RowsValidator
+    from ._roworder import RoworderValidator
+    from ._pattern import PatternValidator
+    from ._domain import DomainValidator
+    from ._columns import ColumnsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yside.YsideValidator",
+            "._ygap.YgapValidator",
+            "._yaxes.YaxesValidator",
+            "._xside.XsideValidator",
+            "._xgap.XgapValidator",
+            "._xaxes.XaxesValidator",
+            "._subplots.SubplotsValidator",
+            "._rows.RowsValidator",
+            "._roworder.RoworderValidator",
+            "._pattern.PatternValidator",
+            "._domain.DomainValidator",
+            "._columns.ColumnsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_columns.py b/packages/python/plotly/plotly/validators/layout/grid/_columns.py
new file mode 100644
index 00000000000..f43d1d2828e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_columns.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnsValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="columns", parent_name="layout.grid", **kwargs):
+        super(ColumnsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_domain.py b/packages/python/plotly/plotly/validators/layout/grid/_domain.py
new file mode 100644
index 00000000000..97cc1055860
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_domain.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.grid", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Sets the horizontal domain of this grid subplot
+                (in plot fraction). The first and last cells
+                end exactly at the domain edges, with no grout
+                around the edges.
+            y
+                Sets the vertical domain of this grid subplot
+                (in plot fraction). The first and last cells
+                end exactly at the domain edges, with no grout
+                around the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_pattern.py b/packages/python/plotly/plotly/validators/layout/grid/_pattern.py
new file mode 100644
index 00000000000..0e50ad8b801
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_pattern.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class PatternValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="pattern", parent_name="layout.grid", **kwargs):
+        super(PatternValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["independent", "coupled"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_roworder.py b/packages/python/plotly/plotly/validators/layout/grid/_roworder.py
new file mode 100644
index 00000000000..42030a890b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_roworder.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RoworderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="roworder", parent_name="layout.grid", **kwargs):
+        super(RoworderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top to bottom", "bottom to top"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_rows.py b/packages/python/plotly/plotly/validators/layout/grid/_rows.py
new file mode 100644
index 00000000000..5db86aa4d95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_rows.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowsValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="rows", parent_name="layout.grid", **kwargs):
+        super(RowsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_subplots.py b/packages/python/plotly/plotly/validators/layout/grid/_subplots.py
new file mode 100644
index 00000000000..3f713b1dfaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_subplots.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="subplots", parent_name="layout.grid", **kwargs):
+        super(SubplotsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dimensions=kwargs.pop("dimensions", 2),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                {
+                    "valType": "enumerated",
+                    "values": ["/^x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?$/", ""],
+                    "editType": "plot",
+                },
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_xaxes.py b/packages/python/plotly/plotly/validators/layout/grid/_xaxes.py
new file mode 100644
index 00000000000..0d74e6e6750
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_xaxes.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class XaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="xaxes", parent_name="layout.grid", **kwargs):
+        super(XaxesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                {
+                    "valType": "enumerated",
+                    "values": ["/^x([2-9]|[1-9][0-9]+)?$/", ""],
+                    "editType": "plot",
+                },
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_xgap.py b/packages/python/plotly/plotly/validators/layout/grid/_xgap.py
new file mode 100644
index 00000000000..4ecefd5eecf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_xgap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xgap", parent_name="layout.grid", **kwargs):
+        super(XgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_xside.py b/packages/python/plotly/plotly/validators/layout/grid/_xside.py
new file mode 100644
index 00000000000..3b2b4380d03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_xside.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XsideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xside", parent_name="layout.grid", **kwargs):
+        super(XsideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["bottom", "bottom plot", "top plot", "top"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_yaxes.py b/packages/python/plotly/plotly/validators/layout/grid/_yaxes.py
new file mode 100644
index 00000000000..00613892bff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_yaxes.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class YaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="yaxes", parent_name="layout.grid", **kwargs):
+        super(YaxesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                {
+                    "valType": "enumerated",
+                    "values": ["/^y([2-9]|[1-9][0-9]+)?$/", ""],
+                    "editType": "plot",
+                },
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_ygap.py b/packages/python/plotly/plotly/validators/layout/grid/_ygap.py
new file mode 100644
index 00000000000..b4df063dac9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_ygap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ygap", parent_name="layout.grid", **kwargs):
+        super(YgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/_yside.py b/packages/python/plotly/plotly/validators/layout/grid/_yside.py
new file mode 100644
index 00000000000..ba01a03c52b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/_yside.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YsideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yside", parent_name="layout.grid", **kwargs):
+        super(YsideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["left", "left plot", "right plot", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/domain/__init__.py b/packages/python/plotly/plotly/validators/layout/grid/domain/__init__.py
index 4a45579226c..bdfa3a225bd 100644
--- a/packages/python/plotly/plotly/validators/layout/grid/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/grid/domain/__init__.py
@@ -1,40 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.grid.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.grid.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/domain/_x.py b/packages/python/plotly/plotly/validators/layout/grid/domain/_x.py
new file mode 100644
index 00000000000..15c0686e54f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.grid.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/grid/domain/_y.py b/packages/python/plotly/plotly/validators/layout/grid/domain/_y.py
new file mode 100644
index 00000000000..f66494e4252
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/grid/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.grid.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/__init__.py
index 35b937d8b60..f9328b78fa6 100644
--- a/packages/python/plotly/plotly/validators/layout/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/__init__.py
@@ -1,101 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="layout.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="layout.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="layout.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/_align.py
new file mode 100644
index 00000000000..c508f1e5e30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/_align.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="layout.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..265e5500c20
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..0645a5e9ca4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="layout.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/_font.py
new file mode 100644
index 00000000000..5ccbbd5cbdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..6eaa2266836
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/_namelength.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="layout.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/__init__.py
index 0a3f775fc61..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..a5155410bc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..6e32e129933
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..36e9a67cbbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/hoverlabel/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/__init__.py b/packages/python/plotly/plotly/validators/layout/image/__init__.py
index 57e294d3bb8..79f894280d8 100644
--- a/packages/python/plotly/plotly/validators/layout/image/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/image/__init__.py
@@ -1,218 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yref", parent_name="layout.image", **kwargs):
-        super(YrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["paper", "/^y([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="layout.image", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.image", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xref", parent_name="layout.image", **kwargs):
-        super(XrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["paper", "/^x([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="layout.image", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.image", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="layout.image", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="layout.image", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourceValidator(_plotly_utils.basevalidators.ImageUriValidator):
-    def __init__(self, plotly_name="source", parent_name="layout.image", **kwargs):
-        super(SourceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="sizing", parent_name="layout.image", **kwargs):
-        super(SizingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fill", "contain", "stretch"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizey", parent_name="layout.image", **kwargs):
-        super(SizeyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizexValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizex", parent_name="layout.image", **kwargs):
-        super(SizexValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="layout.image", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.image", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="layer", parent_name="layout.image", **kwargs):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["below", "above"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yref import YrefValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xref import XrefValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._source import SourceValidator
+    from ._sizing import SizingValidator
+    from ._sizey import SizeyValidator
+    from ._sizex import SizexValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._layer import LayerValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yref.YrefValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xref.XrefValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._source.SourceValidator",
+            "._sizing.SizingValidator",
+            "._sizey.SizeyValidator",
+            "._sizex.SizexValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._layer.LayerValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_layer.py b/packages/python/plotly/plotly/validators/layout/image/_layer.py
new file mode 100644
index 00000000000..e62c69f8dc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_layer.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="layer", parent_name="layout.image", **kwargs):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["below", "above"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_name.py b/packages/python/plotly/plotly/validators/layout/image/_name.py
new file mode 100644
index 00000000000..fd4d32752df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.image", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_opacity.py b/packages/python/plotly/plotly/validators/layout/image/_opacity.py
new file mode 100644
index 00000000000..07821babbf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="layout.image", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_sizex.py b/packages/python/plotly/plotly/validators/layout/image/_sizex.py
new file mode 100644
index 00000000000..2450ce7d507
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_sizex.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizexValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizex", parent_name="layout.image", **kwargs):
+        super(SizexValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_sizey.py b/packages/python/plotly/plotly/validators/layout/image/_sizey.py
new file mode 100644
index 00000000000..790212da0bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_sizey.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizeyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizey", parent_name="layout.image", **kwargs):
+        super(SizeyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_sizing.py b/packages/python/plotly/plotly/validators/layout/image/_sizing.py
new file mode 100644
index 00000000000..c4c6915db19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_sizing.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="sizing", parent_name="layout.image", **kwargs):
+        super(SizingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fill", "contain", "stretch"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_source.py b/packages/python/plotly/plotly/validators/layout/image/_source.py
new file mode 100644
index 00000000000..1286038d39f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_source.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SourceValidator(_plotly_utils.basevalidators.ImageUriValidator):
+    def __init__(self, plotly_name="source", parent_name="layout.image", **kwargs):
+        super(SourceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/image/_templateitemname.py
new file mode 100644
index 00000000000..b41c581c626
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="layout.image", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_visible.py b/packages/python/plotly/plotly/validators/layout/image/_visible.py
new file mode 100644
index 00000000000..350ac179b73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="layout.image", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_x.py b/packages/python/plotly/plotly/validators/layout/image/_x.py
new file mode 100644
index 00000000000..8084a9fdce2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.image", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_xanchor.py b/packages/python/plotly/plotly/validators/layout/image/_xanchor.py
new file mode 100644
index 00000000000..90dd510a828
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="layout.image", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_xref.py b/packages/python/plotly/plotly/validators/layout/image/_xref.py
new file mode 100644
index 00000000000..31c3601415b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_xref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xref", parent_name="layout.image", **kwargs):
+        super(XrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["paper", "/^x([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_y.py b/packages/python/plotly/plotly/validators/layout/image/_y.py
new file mode 100644
index 00000000000..77c6abec939
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.image", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_yanchor.py b/packages/python/plotly/plotly/validators/layout/image/_yanchor.py
new file mode 100644
index 00000000000..111793c9f19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="layout.image", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/image/_yref.py b/packages/python/plotly/plotly/validators/layout/image/_yref.py
new file mode 100644
index 00000000000..5332ca06a1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/image/_yref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yref", parent_name="layout.image", **kwargs):
+        super(YrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["paper", "/^y([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/__init__.py b/packages/python/plotly/plotly/validators/layout/legend/__init__.py
index 1a357af8797..3c5d5c2691d 100644
--- a/packages/python/plotly/plotly/validators/layout/legend/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/legend/__init__.py
@@ -1,301 +1,46 @@
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="layout.legend", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.legend", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="layout.legend", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.legend", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="valign", parent_name="layout.legend", **kwargs):
-        super(ValignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.legend", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TraceorderValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="traceorder", parent_name="layout.legend", **kwargs):
-        super(TraceorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            extras=kwargs.pop("extras", ["normal"]),
-            flags=kwargs.pop("flags", ["reversed", "grouped"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracegroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tracegroupgap", parent_name="layout.legend", **kwargs
-    ):
-        super(TracegroupgapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout.legend", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this legend's title font.
-            side
-                Determines the location of legend's title with
-                respect to the legend items. Defaulted to "top"
-                with `orientation` is "h". Defaulted to "left"
-                with `orientation` is "v". The *top left*
-                options could be used to expand legend area in
-                both x and y sides.
-            text
-                Sets the title of the legend.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="orientation", parent_name="layout.legend", **kwargs
-    ):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ItemsizingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="itemsizing", parent_name="layout.legend", **kwargs):
-        super(ItemsizingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["trace", "constant"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ItemdoubleclickValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="itemdoubleclick", parent_name="layout.legend", **kwargs
-    ):
-        super(ItemdoubleclickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["toggle", "toggleothers", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ItemclickValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="itemclick", parent_name="layout.legend", **kwargs):
-        super(ItemclickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["toggle", "toggleothers", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.legend", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="layout.legend", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="layout.legend", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.legend", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._valign import ValignValidator
+    from ._uirevision import UirevisionValidator
+    from ._traceorder import TraceorderValidator
+    from ._tracegroupgap import TracegroupgapValidator
+    from ._title import TitleValidator
+    from ._orientation import OrientationValidator
+    from ._itemsizing import ItemsizingValidator
+    from ._itemdoubleclick import ItemdoubleclickValidator
+    from ._itemclick import ItemclickValidator
+    from ._font import FontValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._valign.ValignValidator",
+            "._uirevision.UirevisionValidator",
+            "._traceorder.TraceorderValidator",
+            "._tracegroupgap.TracegroupgapValidator",
+            "._title.TitleValidator",
+            "._orientation.OrientationValidator",
+            "._itemsizing.ItemsizingValidator",
+            "._itemdoubleclick.ItemdoubleclickValidator",
+            "._itemclick.ItemclickValidator",
+            "._font.FontValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/legend/_bgcolor.py
new file mode 100644
index 00000000000..96ef3c5424a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.legend", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/legend/_bordercolor.py
new file mode 100644
index 00000000000..1798f62a4c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="layout.legend", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/legend/_borderwidth.py
new file mode 100644
index 00000000000..81b557b23c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="layout.legend", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_font.py b/packages/python/plotly/plotly/validators/layout/legend/_font.py
new file mode 100644
index 00000000000..65b64216a10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.legend", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_itemclick.py b/packages/python/plotly/plotly/validators/layout/legend/_itemclick.py
new file mode 100644
index 00000000000..bc14f73e1b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_itemclick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ItemclickValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="itemclick", parent_name="layout.legend", **kwargs):
+        super(ItemclickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["toggle", "toggleothers", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_itemdoubleclick.py b/packages/python/plotly/plotly/validators/layout/legend/_itemdoubleclick.py
new file mode 100644
index 00000000000..c2bf10eb41b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_itemdoubleclick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ItemdoubleclickValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="itemdoubleclick", parent_name="layout.legend", **kwargs
+    ):
+        super(ItemdoubleclickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["toggle", "toggleothers", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_itemsizing.py b/packages/python/plotly/plotly/validators/layout/legend/_itemsizing.py
new file mode 100644
index 00000000000..d8fd9e50e96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_itemsizing.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ItemsizingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="itemsizing", parent_name="layout.legend", **kwargs):
+        super(ItemsizingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["trace", "constant"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_orientation.py b/packages/python/plotly/plotly/validators/layout/legend/_orientation.py
new file mode 100644
index 00000000000..7f9b732192c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_orientation.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="orientation", parent_name="layout.legend", **kwargs
+    ):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_title.py b/packages/python/plotly/plotly/validators/layout/legend/_title.py
new file mode 100644
index 00000000000..28022e9b0cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_title.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout.legend", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this legend's title font.
+            side
+                Determines the location of legend's title with
+                respect to the legend items. Defaulted to "top"
+                with `orientation` is "h". Defaulted to "left"
+                with `orientation` is "v". The *top left*
+                options could be used to expand legend area in
+                both x and y sides.
+            text
+                Sets the title of the legend.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_tracegroupgap.py b/packages/python/plotly/plotly/validators/layout/legend/_tracegroupgap.py
new file mode 100644
index 00000000000..428a5c75532
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_tracegroupgap.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracegroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tracegroupgap", parent_name="layout.legend", **kwargs
+    ):
+        super(TracegroupgapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_traceorder.py b/packages/python/plotly/plotly/validators/layout/legend/_traceorder.py
new file mode 100644
index 00000000000..bc6c5908623
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_traceorder.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TraceorderValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="traceorder", parent_name="layout.legend", **kwargs):
+        super(TraceorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            extras=kwargs.pop("extras", ["normal"]),
+            flags=kwargs.pop("flags", ["reversed", "grouped"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_uirevision.py b/packages/python/plotly/plotly/validators/layout/legend/_uirevision.py
new file mode 100644
index 00000000000..8ef1f76ea16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.legend", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_valign.py b/packages/python/plotly/plotly/validators/layout/legend/_valign.py
new file mode 100644
index 00000000000..2f29b75ff18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_valign.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="valign", parent_name="layout.legend", **kwargs):
+        super(ValignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_x.py b/packages/python/plotly/plotly/validators/layout/legend/_x.py
new file mode 100644
index 00000000000..c42f8d58663
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.legend", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_xanchor.py b/packages/python/plotly/plotly/validators/layout/legend/_xanchor.py
new file mode 100644
index 00000000000..f631b2341c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="layout.legend", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_y.py b/packages/python/plotly/plotly/validators/layout/legend/_y.py
new file mode 100644
index 00000000000..6287f7c1d39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.legend", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/_yanchor.py b/packages/python/plotly/plotly/validators/layout/legend/_yanchor.py
new file mode 100644
index 00000000000..399c2f5b113
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="layout.legend", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/font/__init__.py b/packages/python/plotly/plotly/validators/layout/legend/font/__init__.py
index 9a10b10ea12..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/legend/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/legend/font/__init__.py
@@ -1,45 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="layout.legend.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.legend.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.legend.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/font/_color.py b/packages/python/plotly/plotly/validators/layout/legend/font/_color.py
new file mode 100644
index 00000000000..f0dcd7a90b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/font/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.legend.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/font/_family.py b/packages/python/plotly/plotly/validators/layout/legend/font/_family.py
new file mode 100644
index 00000000000..173002f0139
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.legend.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/font/_size.py b/packages/python/plotly/plotly/validators/layout/legend/font/_size.py
new file mode 100644
index 00000000000..76010a7f27b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/font/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="layout.legend.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/__init__.py b/packages/python/plotly/plotly/validators/layout/legend/title/__init__.py
index 4f5dab0a41f..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/layout/legend/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/__init__.py
@@ -1,66 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="layout.legend.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="side", parent_name="layout.legend.title", **kwargs):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "left", "top left"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.legend.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/_font.py b/packages/python/plotly/plotly/validators/layout/legend/title/_font.py
new file mode 100644
index 00000000000..d48cbc4b5e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.legend.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/_side.py b/packages/python/plotly/plotly/validators/layout/legend/title/_side.py
new file mode 100644
index 00000000000..1f21e123976
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/_side.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="side", parent_name="layout.legend.title", **kwargs):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "left", "top left"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/_text.py b/packages/python/plotly/plotly/validators/layout/legend/title/_text.py
new file mode 100644
index 00000000000..4f6c3a93733
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="layout.legend.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/legend/title/font/__init__.py
index 2923e47bd5c..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/legend/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.legend.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.legend.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.legend.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "legend"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/legend/title/font/_color.py
new file mode 100644
index 00000000000..bfe6f5aabdb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.legend.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/legend/title/font/_family.py
new file mode 100644
index 00000000000..18fbc485854
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.legend.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/legend/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/legend/title/font/_size.py
new file mode 100644
index 00000000000..c4c2fa47867
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/legend/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.legend.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "legend"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/__init__.py
index bd501352538..365e0778b9f 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/__init__.py
@@ -1,309 +1,32 @@
-import _plotly_utils.basevalidators
-
-
-class ZoomValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="zoom", parent_name="layout.mapbox", **kwargs):
-        super(ZoomValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.mapbox", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StyleValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="style", parent_name="layout.mapbox", **kwargs):
-        super(StyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "basic",
-                    "streets",
-                    "outdoors",
-                    "light",
-                    "dark",
-                    "satellite",
-                    "satellite-streets",
-                    "open-street-map",
-                    "white-bg",
-                    "carto-positron",
-                    "carto-darkmatter",
-                    "stamen-terrain",
-                    "stamen-toner",
-                    "stamen-watercolor",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PitchValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pitch", parent_name="layout.mapbox", **kwargs):
-        super(PitchValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="layerdefaults", parent_name="layout.mapbox", **kwargs
-    ):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Layer"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="layers", parent_name="layout.mapbox", **kwargs):
-        super(LayersValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Layer"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            below
-                Determines if the layer will be inserted before
-                the layer with the specified ID. If omitted or
-                set to '', the layer will be inserted above
-                every existing layer.
-            circle
-                :class:`plotly.graph_objects.layout.mapbox.laye
-                r.Circle` instance or dict with compatible
-                properties
-            color
-                Sets the primary layer color. If `type` is
-                "circle", color corresponds to the circle color
-                (mapbox.layer.paint.circle-color) If `type` is
-                "line", color corresponds to the line color
-                (mapbox.layer.paint.line-color) If `type` is
-                "fill", color corresponds to the fill color
-                (mapbox.layer.paint.fill-color) If `type` is
-                "symbol", color corresponds to the icon color
-                (mapbox.layer.paint.icon-color)
-            coordinates
-                Sets the coordinates array contains [longitude,
-                latitude] pairs for the image corners listed in
-                clockwise order: top left, top right, bottom
-                right, bottom left. Only has an effect for
-                "image" `sourcetype`.
-            fill
-                :class:`plotly.graph_objects.layout.mapbox.laye
-                r.Fill` instance or dict with compatible
-                properties
-            line
-                :class:`plotly.graph_objects.layout.mapbox.laye
-                r.Line` instance or dict with compatible
-                properties
-            maxzoom
-                Sets the maximum zoom level
-                (mapbox.layer.maxzoom). At zoom levels equal to
-                or greater than the maxzoom, the layer will be
-                hidden.
-            minzoom
-                Sets the minimum zoom level
-                (mapbox.layer.minzoom). At zoom levels less
-                than the minzoom, the layer will be hidden.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            opacity
-                Sets the opacity of the layer. If `type` is
-                "circle", opacity corresponds to the circle
-                opacity (mapbox.layer.paint.circle-opacity) If
-                `type` is "line", opacity corresponds to the
-                line opacity (mapbox.layer.paint.line-opacity)
-                If `type` is "fill", opacity corresponds to the
-                fill opacity (mapbox.layer.paint.fill-opacity)
-                If `type` is "symbol", opacity corresponds to
-                the icon/text opacity (mapbox.layer.paint.text-
-                opacity)
-            source
-                Sets the source data for this layer
-                (mapbox.layer.source). When `sourcetype` is set
-                to "geojson", `source` can be a URL to a
-                GeoJSON or a GeoJSON object. When `sourcetype`
-                is set to "vector" or "raster", `source` can be
-                a URL or an array of tile URLs. When
-                `sourcetype` is set to "image", `source` can be
-                a URL to an image.
-            sourceattribution
-                Sets the attribution for this source.
-            sourcelayer
-                Specifies the layer to use from a vector tile
-                source (mapbox.layer.source-layer). Required
-                for "vector" source type that supports multiple
-                layers.
-            sourcetype
-                Sets the source type for this layer, that is
-                the type of the layer data.
-            symbol
-                :class:`plotly.graph_objects.layout.mapbox.laye
-                r.Symbol` instance or dict with compatible
-                properties
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            type
-                Sets the layer type, that is the how the layer
-                data set in `source` will be rendered With
-                `sourcetype` set to "geojson", the following
-                values are allowed: "circle", "line", "fill"
-                and "symbol". but note that "line" and "fill"
-                are not compatible with Point GeoJSON
-                geometries. With `sourcetype` set to "vector",
-                the following values are allowed:  "circle",
-                "line", "fill" and "symbol". With `sourcetype`
-                set to "raster" or `*image*`, only the "raster"
-                value is allowed.
-            visible
-                Determines whether this layer is displayed
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.mapbox", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this mapbox subplot
-                .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this mapbox subplot .
-            x
-                Sets the horizontal domain of this mapbox
-                subplot (in plot fraction).
-            y
-                Sets the vertical domain of this mapbox subplot
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="center", parent_name="layout.mapbox", **kwargs):
-        super(CenterValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Center"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            lat
-                Sets the latitude of the center of the map (in
-                degrees North).
-            lon
-                Sets the longitude of the center of the map (in
-                degrees East).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BearingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="bearing", parent_name="layout.mapbox", **kwargs):
-        super(BearingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AccesstokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="accesstoken", parent_name="layout.mapbox", **kwargs
-    ):
-        super(AccesstokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zoom import ZoomValidator
+    from ._uirevision import UirevisionValidator
+    from ._style import StyleValidator
+    from ._pitch import PitchValidator
+    from ._layerdefaults import LayerdefaultsValidator
+    from ._layers import LayersValidator
+    from ._domain import DomainValidator
+    from ._center import CenterValidator
+    from ._bearing import BearingValidator
+    from ._accesstoken import AccesstokenValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zoom.ZoomValidator",
+            "._uirevision.UirevisionValidator",
+            "._style.StyleValidator",
+            "._pitch.PitchValidator",
+            "._layerdefaults.LayerdefaultsValidator",
+            "._layers.LayersValidator",
+            "._domain.DomainValidator",
+            "._center.CenterValidator",
+            "._bearing.BearingValidator",
+            "._accesstoken.AccesstokenValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_accesstoken.py b/packages/python/plotly/plotly/validators/layout/mapbox/_accesstoken.py
new file mode 100644
index 00000000000..fd5d2797b76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_accesstoken.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AccesstokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="accesstoken", parent_name="layout.mapbox", **kwargs
+    ):
+        super(AccesstokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_bearing.py b/packages/python/plotly/plotly/validators/layout/mapbox/_bearing.py
new file mode 100644
index 00000000000..667280ee071
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_bearing.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BearingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="bearing", parent_name="layout.mapbox", **kwargs):
+        super(BearingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_center.py b/packages/python/plotly/plotly/validators/layout/mapbox/_center.py
new file mode 100644
index 00000000000..ecf82bb918b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_center.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="center", parent_name="layout.mapbox", **kwargs):
+        super(CenterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Center"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            lat
+                Sets the latitude of the center of the map (in
+                degrees North).
+            lon
+                Sets the longitude of the center of the map (in
+                degrees East).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_domain.py b/packages/python/plotly/plotly/validators/layout/mapbox/_domain.py
new file mode 100644
index 00000000000..fae0aae339d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.mapbox", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this mapbox subplot
+                .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this mapbox subplot .
+            x
+                Sets the horizontal domain of this mapbox
+                subplot (in plot fraction).
+            y
+                Sets the vertical domain of this mapbox subplot
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_layerdefaults.py b/packages/python/plotly/plotly/validators/layout/mapbox/_layerdefaults.py
new file mode 100644
index 00000000000..dd3c4415947
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_layerdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class LayerdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="layerdefaults", parent_name="layout.mapbox", **kwargs
+    ):
+        super(LayerdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Layer"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_layers.py b/packages/python/plotly/plotly/validators/layout/mapbox/_layers.py
new file mode 100644
index 00000000000..fd0244f31c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_layers.py
@@ -0,0 +1,127 @@
+import _plotly_utils.basevalidators
+
+
+class LayersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="layers", parent_name="layout.mapbox", **kwargs):
+        super(LayersValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Layer"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            below
+                Determines if the layer will be inserted before
+                the layer with the specified ID. If omitted or
+                set to '', the layer will be inserted above
+                every existing layer.
+            circle
+                :class:`plotly.graph_objects.layout.mapbox.laye
+                r.Circle` instance or dict with compatible
+                properties
+            color
+                Sets the primary layer color. If `type` is
+                "circle", color corresponds to the circle color
+                (mapbox.layer.paint.circle-color) If `type` is
+                "line", color corresponds to the line color
+                (mapbox.layer.paint.line-color) If `type` is
+                "fill", color corresponds to the fill color
+                (mapbox.layer.paint.fill-color) If `type` is
+                "symbol", color corresponds to the icon color
+                (mapbox.layer.paint.icon-color)
+            coordinates
+                Sets the coordinates array contains [longitude,
+                latitude] pairs for the image corners listed in
+                clockwise order: top left, top right, bottom
+                right, bottom left. Only has an effect for
+                "image" `sourcetype`.
+            fill
+                :class:`plotly.graph_objects.layout.mapbox.laye
+                r.Fill` instance or dict with compatible
+                properties
+            line
+                :class:`plotly.graph_objects.layout.mapbox.laye
+                r.Line` instance or dict with compatible
+                properties
+            maxzoom
+                Sets the maximum zoom level
+                (mapbox.layer.maxzoom). At zoom levels equal to
+                or greater than the maxzoom, the layer will be
+                hidden.
+            minzoom
+                Sets the minimum zoom level
+                (mapbox.layer.minzoom). At zoom levels less
+                than the minzoom, the layer will be hidden.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            opacity
+                Sets the opacity of the layer. If `type` is
+                "circle", opacity corresponds to the circle
+                opacity (mapbox.layer.paint.circle-opacity) If
+                `type` is "line", opacity corresponds to the
+                line opacity (mapbox.layer.paint.line-opacity)
+                If `type` is "fill", opacity corresponds to the
+                fill opacity (mapbox.layer.paint.fill-opacity)
+                If `type` is "symbol", opacity corresponds to
+                the icon/text opacity (mapbox.layer.paint.text-
+                opacity)
+            source
+                Sets the source data for this layer
+                (mapbox.layer.source). When `sourcetype` is set
+                to "geojson", `source` can be a URL to a
+                GeoJSON or a GeoJSON object. When `sourcetype`
+                is set to "vector" or "raster", `source` can be
+                a URL or an array of tile URLs. When
+                `sourcetype` is set to "image", `source` can be
+                a URL to an image.
+            sourceattribution
+                Sets the attribution for this source.
+            sourcelayer
+                Specifies the layer to use from a vector tile
+                source (mapbox.layer.source-layer). Required
+                for "vector" source type that supports multiple
+                layers.
+            sourcetype
+                Sets the source type for this layer, that is
+                the type of the layer data.
+            symbol
+                :class:`plotly.graph_objects.layout.mapbox.laye
+                r.Symbol` instance or dict with compatible
+                properties
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            type
+                Sets the layer type, that is the how the layer
+                data set in `source` will be rendered With
+                `sourcetype` set to "geojson", the following
+                values are allowed: "circle", "line", "fill"
+                and "symbol". but note that "line" and "fill"
+                are not compatible with Point GeoJSON
+                geometries. With `sourcetype` set to "vector",
+                the following values are allowed:  "circle",
+                "line", "fill" and "symbol". With `sourcetype`
+                set to "raster" or `*image*`, only the "raster"
+                value is allowed.
+            visible
+                Determines whether this layer is displayed
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_pitch.py b/packages/python/plotly/plotly/validators/layout/mapbox/_pitch.py
new file mode 100644
index 00000000000..6c255cfd8cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_pitch.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PitchValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pitch", parent_name="layout.mapbox", **kwargs):
+        super(PitchValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_style.py b/packages/python/plotly/plotly/validators/layout/mapbox/_style.py
new file mode 100644
index 00000000000..025960abda0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_style.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class StyleValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="style", parent_name="layout.mapbox", **kwargs):
+        super(StyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "basic",
+                    "streets",
+                    "outdoors",
+                    "light",
+                    "dark",
+                    "satellite",
+                    "satellite-streets",
+                    "open-street-map",
+                    "white-bg",
+                    "carto-positron",
+                    "carto-darkmatter",
+                    "stamen-terrain",
+                    "stamen-toner",
+                    "stamen-watercolor",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_uirevision.py b/packages/python/plotly/plotly/validators/layout/mapbox/_uirevision.py
new file mode 100644
index 00000000000..d0869557409
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.mapbox", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/_zoom.py b/packages/python/plotly/plotly/validators/layout/mapbox/_zoom.py
new file mode 100644
index 00000000000..80eac7052c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/_zoom.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZoomValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="zoom", parent_name="layout.mapbox", **kwargs):
+        super(ZoomValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/center/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/center/__init__.py
index e3e0f2f75a3..814a8fe0eed 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/center/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/center/__init__.py
@@ -1,26 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._lon import LonValidator
+    from ._lat import LatValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="lon", parent_name="layout.mapbox.center", **kwargs):
-        super(LonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="lat", parent_name="layout.mapbox.center", **kwargs):
-        super(LatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._lon.LonValidator", "._lat.LatValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/center/_lat.py b/packages/python/plotly/plotly/validators/layout/mapbox/center/_lat.py
new file mode 100644
index 00000000000..7fc668af43e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/center/_lat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="lat", parent_name="layout.mapbox.center", **kwargs):
+        super(LatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/center/_lon.py b/packages/python/plotly/plotly/validators/layout/mapbox/center/_lon.py
new file mode 100644
index 00000000000..a435412cc1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/center/_lon.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="lon", parent_name="layout.mapbox.center", **kwargs):
+        super(LonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/domain/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/domain/__init__.py
index 0743020ec0e..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/domain/__init__.py
@@ -1,72 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.mapbox.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.mapbox.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="layout.mapbox.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="column", parent_name="layout.mapbox.domain", **kwargs
-    ):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/domain/_column.py b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_column.py
new file mode 100644
index 00000000000..ef481e8f14b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_column.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="column", parent_name="layout.mapbox.domain", **kwargs
+    ):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/domain/_row.py b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_row.py
new file mode 100644
index 00000000000..5661dfe3ce1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="layout.mapbox.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/domain/_x.py b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_x.py
new file mode 100644
index 00000000000..8d3bcd46178
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.mapbox.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/domain/_y.py b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_y.py
new file mode 100644
index 00000000000..3361431d39e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.mapbox.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/__init__.py
index b326c6079a0..409b191fda3 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/layer/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/__init__.py
@@ -1,355 +1,48 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.mapbox.layer", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["circle", "line", "fill", "symbol", "raster"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.mapbox.layer",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Symbol"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            icon
-                Sets the symbol icon image
-                (mapbox.layer.layout.icon-image). Full list:
-                https://www.mapbox.com/maki-icons/
-            iconsize
-                Sets the symbol icon size
-                (mapbox.layer.layout.icon-size). Has an effect
-                only when `type` is set to "symbol".
-            placement
-                Sets the symbol and/or text placement
-                (mapbox.layer.layout.symbol-placement). If
-                `placement` is "point", the label is placed
-                where the geometry is located If `placement` is
-                "line", the label is placed along the line of
-                the geometry If `placement` is "line-center",
-                the label is placed on the center of the
-                geometry
-            text
-                Sets the symbol text (mapbox.layer.layout.text-
-                field).
-            textfont
-                Sets the icon text font
-                (color=mapbox.layer.paint.text-color,
-                size=mapbox.layer.layout.text-size). Has an
-                effect only when `type` is set to "symbol".
-            textposition
-                Sets the positions of the `text` elements with
-                respects to the (x,y) coordinates.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourcetypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sourcetype", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(SourcetypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["geojson", "vector", "raster", "image"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourcelayerValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="sourcelayer", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(SourcelayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourceattributionValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="sourceattribution",
-        parent_name="layout.mapbox.layer",
-        **kwargs
-    ):
-        super(SourceattributionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourceValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="source", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(SourceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.mapbox.layer", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinzoomValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="minzoom", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(MinzoomValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 24),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxzoomValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxzoom", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(MaxzoomValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 24),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="layout.mapbox.layer", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dash
-                Sets the length of dashes and gaps
-                (mapbox.layer.paint.line-dasharray). Has an
-                effect only when `type` is set to "line".
-            dashsrc
-                Sets the source reference on Chart Studio Cloud
-                for  dash .
-            width
-                Sets the line width (mapbox.layer.paint.line-
-                width). Has an effect only when `type` is set
-                to "line".
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="fill", parent_name="layout.mapbox.layer", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Fill"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            outlinecolor
-                Sets the fill outline color
-                (mapbox.layer.paint.fill-outline-color). Has an
-                effect only when `type` is set to "fill".
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CoordinatesValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="coordinates", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(CoordinatesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CircleValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="circle", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(CircleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Circle"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            radius
-                Sets the circle radius
-                (mapbox.layer.paint.circle-radius). Has an
-                effect only when `type` is set to "circle".
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BelowValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="below", parent_name="layout.mapbox.layer", **kwargs
-    ):
-        super(BelowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._type import TypeValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._symbol import SymbolValidator
+    from ._sourcetype import SourcetypeValidator
+    from ._sourcelayer import SourcelayerValidator
+    from ._sourceattribution import SourceattributionValidator
+    from ._source import SourceValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._minzoom import MinzoomValidator
+    from ._maxzoom import MaxzoomValidator
+    from ._line import LineValidator
+    from ._fill import FillValidator
+    from ._coordinates import CoordinatesValidator
+    from ._color import ColorValidator
+    from ._circle import CircleValidator
+    from ._below import BelowValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._type.TypeValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._symbol.SymbolValidator",
+            "._sourcetype.SourcetypeValidator",
+            "._sourcelayer.SourcelayerValidator",
+            "._sourceattribution.SourceattributionValidator",
+            "._source.SourceValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._minzoom.MinzoomValidator",
+            "._maxzoom.MaxzoomValidator",
+            "._line.LineValidator",
+            "._fill.FillValidator",
+            "._coordinates.CoordinatesValidator",
+            "._color.ColorValidator",
+            "._circle.CircleValidator",
+            "._below.BelowValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_below.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_below.py
new file mode 100644
index 00000000000..41db8b4cd2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_below.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BelowValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="below", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(BelowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_circle.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_circle.py
new file mode 100644
index 00000000000..e2ff080eb9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_circle.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class CircleValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="circle", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(CircleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Circle"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            radius
+                Sets the circle radius
+                (mapbox.layer.paint.circle-radius). Has an
+                effect only when `type` is set to "circle".
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_color.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_color.py
new file mode 100644
index 00000000000..6323df26571
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_coordinates.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_coordinates.py
new file mode 100644
index 00000000000..9214d2c4e81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_coordinates.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CoordinatesValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="coordinates", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(CoordinatesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_fill.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_fill.py
new file mode 100644
index 00000000000..3dad9ffc7b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_fill.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="fill", parent_name="layout.mapbox.layer", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Fill"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            outlinecolor
+                Sets the fill outline color
+                (mapbox.layer.paint.fill-outline-color). Has an
+                effect only when `type` is set to "fill".
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_line.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_line.py
new file mode 100644
index 00000000000..a5976d84be3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_line.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="layout.mapbox.layer", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dash
+                Sets the length of dashes and gaps
+                (mapbox.layer.paint.line-dasharray). Has an
+                effect only when `type` is set to "line".
+            dashsrc
+                Sets the source reference on Chart Studio Cloud
+                for  dash .
+            width
+                Sets the line width (mapbox.layer.paint.line-
+                width). Has an effect only when `type` is set
+                to "line".
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_maxzoom.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_maxzoom.py
new file mode 100644
index 00000000000..b0fbe7c33a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_maxzoom.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxzoomValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxzoom", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(MaxzoomValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 24),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_minzoom.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_minzoom.py
new file mode 100644
index 00000000000..37ac51bb81d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_minzoom.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MinzoomValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="minzoom", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(MinzoomValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 24),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_name.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_name.py
new file mode 100644
index 00000000000..d3b3e2d971a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.mapbox.layer", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_opacity.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_opacity.py
new file mode 100644
index 00000000000..e63c4180108
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_source.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_source.py
new file mode 100644
index 00000000000..47f0644aa22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_source.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SourceValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="source", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(SourceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourceattribution.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourceattribution.py
new file mode 100644
index 00000000000..f5764d862a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourceattribution.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SourceattributionValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="sourceattribution",
+        parent_name="layout.mapbox.layer",
+        **kwargs
+    ):
+        super(SourceattributionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourcelayer.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourcelayer.py
new file mode 100644
index 00000000000..88879a69e49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourcelayer.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SourcelayerValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="sourcelayer", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(SourcelayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourcetype.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourcetype.py
new file mode 100644
index 00000000000..46bfaaf1907
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_sourcetype.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SourcetypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sourcetype", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(SourcetypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["geojson", "vector", "raster", "image"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_symbol.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_symbol.py
new file mode 100644
index 00000000000..c1ec9c507de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_symbol.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Symbol"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            icon
+                Sets the symbol icon image
+                (mapbox.layer.layout.icon-image). Full list:
+                https://www.mapbox.com/maki-icons/
+            iconsize
+                Sets the symbol icon size
+                (mapbox.layer.layout.icon-size). Has an effect
+                only when `type` is set to "symbol".
+            placement
+                Sets the symbol and/or text placement
+                (mapbox.layer.layout.symbol-placement). If
+                `placement` is "point", the label is placed
+                where the geometry is located If `placement` is
+                "line", the label is placed along the line of
+                the geometry If `placement` is "line-center",
+                the label is placed on the center of the
+                geometry
+            text
+                Sets the symbol text (mapbox.layer.layout.text-
+                field).
+            textfont
+                Sets the icon text font
+                (color=mapbox.layer.paint.text-color,
+                size=mapbox.layer.layout.text-size). Has an
+                effect only when `type` is set to "symbol".
+            textposition
+                Sets the positions of the `text` elements with
+                respects to the (x,y) coordinates.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_templateitemname.py
new file mode 100644
index 00000000000..7682495fa54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.mapbox.layer",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_type.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_type.py
new file mode 100644
index 00000000000..c53631af954
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.mapbox.layer", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["circle", "line", "fill", "symbol", "raster"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/_visible.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_visible.py
new file mode 100644
index 00000000000..bf07d6d7f52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.mapbox.layer", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/__init__.py
index 22332f85079..45b7855673f 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._radius import RadiusValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class RadiusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="radius", parent_name="layout.mapbox.layer.circle", **kwargs
-    ):
-        super(RadiusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._radius.RadiusValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/_radius.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/_radius.py
new file mode 100644
index 00000000000..22332f85079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/circle/_radius.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class RadiusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="radius", parent_name="layout.mapbox.layer.circle", **kwargs
+    ):
+        super(RadiusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/__init__.py
index ac74b4be7b3..2b76f933fc6 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._outlinecolor import OutlinecolorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="layout.mapbox.layer.fill",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._outlinecolor.OutlinecolorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/_outlinecolor.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/_outlinecolor.py
new file mode 100644
index 00000000000..ac74b4be7b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/fill/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="layout.mapbox.layer.fill",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/__init__.py
index 8245745b0ff..c7c9304113f 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/__init__.py
@@ -1,46 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="layout.mapbox.layer.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="dashsrc", parent_name="layout.mapbox.layer.line", **kwargs
-    ):
-        super(DashsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="dash", parent_name="layout.mapbox.layer.line", **kwargs
-    ):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dashsrc import DashsrcValidator
+    from ._dash import DashValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._dashsrc.DashsrcValidator",
+            "._dash.DashValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_dash.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_dash.py
new file mode 100644
index 00000000000..8477950ef2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_dash.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="dash", parent_name="layout.mapbox.layer.line", **kwargs
+    ):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_dashsrc.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_dashsrc.py
new file mode 100644
index 00000000000..c9a31da6312
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_dashsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DashsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="dashsrc", parent_name="layout.mapbox.layer.line", **kwargs
+    ):
+        super(DashsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_width.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_width.py
new file mode 100644
index 00000000000..378f7009160
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="layout.mapbox.layer.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/__init__.py
index 1f9661ce413..8102f26764c 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/__init__.py
@@ -1,141 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="textposition",
-        parent_name="layout.mapbox.layer.symbol",
-        **kwargs
-    ):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="layout.mapbox.layer.symbol", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.mapbox.layer.symbol", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PlacementValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="placement",
-        parent_name="layout.mapbox.layer.symbol",
-        **kwargs
-    ):
-        super(PlacementValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["point", "line", "line-center"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IconsizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="iconsize", parent_name="layout.mapbox.layer.symbol", **kwargs
-    ):
-        super(IconsizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IconValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="icon", parent_name="layout.mapbox.layer.symbol", **kwargs
-    ):
-        super(IconValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._placement import PlacementValidator
+    from ._iconsize import IconsizeValidator
+    from ._icon import IconValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._placement.PlacementValidator",
+            "._iconsize.IconsizeValidator",
+            "._icon.IconValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_icon.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_icon.py
new file mode 100644
index 00000000000..750fe2f49f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_icon.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class IconValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="icon", parent_name="layout.mapbox.layer.symbol", **kwargs
+    ):
+        super(IconValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_iconsize.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_iconsize.py
new file mode 100644
index 00000000000..fe1e174f49a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_iconsize.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class IconsizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="iconsize", parent_name="layout.mapbox.layer.symbol", **kwargs
+    ):
+        super(IconsizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_placement.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_placement.py
new file mode 100644
index 00000000000..06cc0216f4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_placement.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class PlacementValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="placement",
+        parent_name="layout.mapbox.layer.symbol",
+        **kwargs
+    ):
+        super(PlacementValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["point", "line", "line-center"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_text.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_text.py
new file mode 100644
index 00000000000..f3ef4ef0a5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.mapbox.layer.symbol", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_textfont.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_textfont.py
new file mode 100644
index 00000000000..3a3fe851254
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_textfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="layout.mapbox.layer.symbol", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_textposition.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_textposition.py
new file mode 100644
index 00000000000..78a8ca759f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/_textposition.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="textposition",
+        parent_name="layout.mapbox.layer.symbol",
+        **kwargs
+    ):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/__init__.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/__init__.py
index 2f8127d9259..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.mapbox.layer.symbol.textfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.mapbox.layer.symbol.textfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.mapbox.layer.symbol.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_color.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_color.py
new file mode 100644
index 00000000000..f580befc217
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.mapbox.layer.symbol.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_family.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_family.py
new file mode 100644
index 00000000000..bf869e22d41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.mapbox.layer.symbol.textfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_size.py b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_size.py
new file mode 100644
index 00000000000..58736044f2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/mapbox/layer/symbol/textfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.mapbox.layer.symbol.textfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/__init__.py b/packages/python/plotly/plotly/validators/layout/margin/__init__.py
index 4f48cb35b77..da88e9d03fa 100644
--- a/packages/python/plotly/plotly/validators/layout/margin/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/margin/__init__.py
@@ -1,87 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="t", parent_name="layout.margin", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="r", parent_name="layout.margin", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pad", parent_name="layout.margin", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="l", parent_name="layout.margin", **kwargs):
-        super(LValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="b", parent_name="layout.margin", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutoexpandValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autoexpand", parent_name="layout.margin", **kwargs):
-        super(AutoexpandValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._t import TValidator
+    from ._r import RValidator
+    from ._pad import PadValidator
+    from ._l import LValidator
+    from ._b import BValidator
+    from ._autoexpand import AutoexpandValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._t.TValidator",
+            "._r.RValidator",
+            "._pad.PadValidator",
+            "._l.LValidator",
+            "._b.BValidator",
+            "._autoexpand.AutoexpandValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/_autoexpand.py b/packages/python/plotly/plotly/validators/layout/margin/_autoexpand.py
new file mode 100644
index 00000000000..7ef060cdbf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/margin/_autoexpand.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutoexpandValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autoexpand", parent_name="layout.margin", **kwargs):
+        super(AutoexpandValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/_b.py b/packages/python/plotly/plotly/validators/layout/margin/_b.py
new file mode 100644
index 00000000000..7501decd033
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/margin/_b.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="b", parent_name="layout.margin", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/_l.py b/packages/python/plotly/plotly/validators/layout/margin/_l.py
new file mode 100644
index 00000000000..65473123085
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/margin/_l.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="l", parent_name="layout.margin", **kwargs):
+        super(LValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/_pad.py b/packages/python/plotly/plotly/validators/layout/margin/_pad.py
new file mode 100644
index 00000000000..08e0bb54ac2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/margin/_pad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pad", parent_name="layout.margin", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/_r.py b/packages/python/plotly/plotly/validators/layout/margin/_r.py
new file mode 100644
index 00000000000..bf783cc8e6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/margin/_r.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="r", parent_name="layout.margin", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/margin/_t.py b/packages/python/plotly/plotly/validators/layout/margin/_t.py
new file mode 100644
index 00000000000..2401adf41c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/margin/_t.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="t", parent_name="layout.margin", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/modebar/__init__.py b/packages/python/plotly/plotly/validators/layout/modebar/__init__.py
index 9b0a132b2ef..65381299077 100644
--- a/packages/python/plotly/plotly/validators/layout/modebar/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/modebar/__init__.py
@@ -1,75 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.modebar", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="orientation", parent_name="layout.modebar", **kwargs
-    ):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.modebar", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.modebar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ActivecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="activecolor", parent_name="layout.modebar", **kwargs
-    ):
-        super(ActivecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._uirevision import UirevisionValidator
+    from ._orientation import OrientationValidator
+    from ._color import ColorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._activecolor import ActivecolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._uirevision.UirevisionValidator",
+            "._orientation.OrientationValidator",
+            "._color.ColorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._activecolor.ActivecolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/modebar/_activecolor.py b/packages/python/plotly/plotly/validators/layout/modebar/_activecolor.py
new file mode 100644
index 00000000000..c6e09df3b24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/modebar/_activecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ActivecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="activecolor", parent_name="layout.modebar", **kwargs
+    ):
+        super(ActivecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/modebar/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/modebar/_bgcolor.py
new file mode 100644
index 00000000000..56732502741
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/modebar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.modebar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/modebar/_color.py b/packages/python/plotly/plotly/validators/layout/modebar/_color.py
new file mode 100644
index 00000000000..94e75d42eb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/modebar/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.modebar", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/modebar/_orientation.py b/packages/python/plotly/plotly/validators/layout/modebar/_orientation.py
new file mode 100644
index 00000000000..a67779fb1b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/modebar/_orientation.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="orientation", parent_name="layout.modebar", **kwargs
+    ):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/modebar/_uirevision.py b/packages/python/plotly/plotly/validators/layout/modebar/_uirevision.py
new file mode 100644
index 00000000000..ac9e9e2a444
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/modebar/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.modebar", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/__init__.py
index 15e7957f728..3e570d0e8bc 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/__init__.py
@@ -1,703 +1,32 @@
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.polar", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SectorValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="sector", parent_name="layout.polar", **kwargs):
-        super(SectorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RadialAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="radialaxis", parent_name="layout.polar", **kwargs):
-        super(RadialAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "RadialAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            angle
-                Sets the angle (in degrees) from which the
-                radial axis is drawn. Note that by default,
-                radial axis line on the theta=0 line
-                corresponds to a line pointing right (like what
-                mathematicians prefer). Defaults to the first
-                `polar.sector` angle.
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            calendar
-                Sets the calendar system to use for `range` and
-                `tick0` if this is a date axis. This does not
-                set the calendar for interpreting data on this
-                axis, that's specified in the trace or via the
-                global `layout.calendar`
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangemode
-                If *tozero*`, the range extends to 0,
-                regardless of the input data If "nonnegative",
-                the range is non-negative, regardless of the
-                input data. If "normal", the range is computed
-                in relation to the extrema of the input data
-                (same behavior as for cartesian axes).
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            side
-                Determines on which side of radial axis line
-                the tick and tick labels appear.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                polar.radialaxis.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.polar.radialaxis.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of
-                layout.polar.radialaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.polar.radia
-                laxis.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.polar.radialaxis.title.font instead.
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `range`, `autorange`, `angle`, and `title`
-                if in `editable: true` configuration. Defaults
-                to `polar<N>.uirevision`.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoleValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="hole", parent_name="layout.polar", **kwargs):
-        super(HoleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridshapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="gridshape", parent_name="layout.polar", **kwargs):
-        super(GridshapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["circular", "linear"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.polar", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this polar subplot
-                .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this polar subplot .
-            x
-                Sets the horizontal domain of this polar
-                subplot (in plot fraction).
-            y
-                Sets the vertical domain of this polar subplot
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.polar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="barmode", parent_name="layout.polar", **kwargs):
-        super(BarmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["stack", "overlay"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BargapValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="bargap", parent_name="layout.polar", **kwargs):
-        super(BargapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AngularAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="angularaxis", parent_name="layout.polar", **kwargs):
-        super(AngularAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "AngularAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            direction
-                Sets the direction corresponding to positive
-                angles.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            period
-                Set the angular period. Has an effect only when
-                `angularaxis.type` is "category".
-            rotation
-                Sets that start position (in degrees) of the
-                angular axis By default, polar subplots with
-                `direction` set to "counterclockwise" get a
-                `rotation` of 0 which corresponds to due East
-                (like what mathematicians prefer). In turn,
-                polar with `direction` set to "clockwise" get a
-                rotation of 90 which corresponds to due North
-                (like on a compass),
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thetaunit
-                Sets the format unit of the formatted "theta"
-                values. Has an effect only when
-                `angularaxis.type` is "linear".
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                polar.angularaxis.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.polar.angularaxis.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of
-                layout.polar.angularaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            type
-                Sets the angular axis type. If "linear", set
-                `thetaunit` to determine the unit in which axis
-                value are shown. If *category, use `period` to
-                set the number of integer coordinates around
-                polar axis.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `rotation`. Defaults to
-                `polar<N>.uirevision`.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._uirevision import UirevisionValidator
+    from ._sector import SectorValidator
+    from ._radialaxis import RadialaxisValidator
+    from ._hole import HoleValidator
+    from ._gridshape import GridshapeValidator
+    from ._domain import DomainValidator
+    from ._bgcolor import BgcolorValidator
+    from ._barmode import BarmodeValidator
+    from ._bargap import BargapValidator
+    from ._angularaxis import AngularaxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._uirevision.UirevisionValidator",
+            "._sector.SectorValidator",
+            "._radialaxis.RadialaxisValidator",
+            "._hole.HoleValidator",
+            "._gridshape.GridshapeValidator",
+            "._domain.DomainValidator",
+            "._bgcolor.BgcolorValidator",
+            "._barmode.BarmodeValidator",
+            "._bargap.BargapValidator",
+            "._angularaxis.AngularaxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_angularaxis.py b/packages/python/plotly/plotly/validators/layout/polar/_angularaxis.py
new file mode 100644
index 00000000000..ef7f0d80c5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_angularaxis.py
@@ -0,0 +1,264 @@
+import _plotly_utils.basevalidators
+
+
+class AngularaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="angularaxis", parent_name="layout.polar", **kwargs):
+        super(AngularaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "AngularAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            direction
+                Sets the direction corresponding to positive
+                angles.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            period
+                Set the angular period. Has an effect only when
+                `angularaxis.type` is "category".
+            rotation
+                Sets that start position (in degrees) of the
+                angular axis By default, polar subplots with
+                `direction` set to "counterclockwise" get a
+                `rotation` of 0 which corresponds to due East
+                (like what mathematicians prefer). In turn,
+                polar with `direction` set to "clockwise" get a
+                rotation of 90 which corresponds to due North
+                (like on a compass),
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thetaunit
+                Sets the format unit of the formatted "theta"
+                values. Has an effect only when
+                `angularaxis.type` is "linear".
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                polar.angularaxis.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.polar.angularaxis.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of
+                layout.polar.angularaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            type
+                Sets the angular axis type. If "linear", set
+                `thetaunit` to determine the unit in which axis
+                value are shown. If *category, use `period` to
+                set the number of integer coordinates around
+                polar axis.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `rotation`. Defaults to
+                `polar<N>.uirevision`.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_bargap.py b/packages/python/plotly/plotly/validators/layout/polar/_bargap.py
new file mode 100644
index 00000000000..40490996ae5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_bargap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BargapValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="bargap", parent_name="layout.polar", **kwargs):
+        super(BargapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_barmode.py b/packages/python/plotly/plotly/validators/layout/polar/_barmode.py
new file mode 100644
index 00000000000..9658b466733
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_barmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BarmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="barmode", parent_name="layout.polar", **kwargs):
+        super(BarmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["stack", "overlay"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/polar/_bgcolor.py
new file mode 100644
index 00000000000..b1e97f2b723
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.polar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_domain.py b/packages/python/plotly/plotly/validators/layout/polar/_domain.py
new file mode 100644
index 00000000000..d063e6d4964
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.polar", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this polar subplot
+                .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this polar subplot .
+            x
+                Sets the horizontal domain of this polar
+                subplot (in plot fraction).
+            y
+                Sets the vertical domain of this polar subplot
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_gridshape.py b/packages/python/plotly/plotly/validators/layout/polar/_gridshape.py
new file mode 100644
index 00000000000..1a17de4c5c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_gridshape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GridshapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="gridshape", parent_name="layout.polar", **kwargs):
+        super(GridshapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["circular", "linear"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_hole.py b/packages/python/plotly/plotly/validators/layout/polar/_hole.py
new file mode 100644
index 00000000000..ea2a6d77470
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_hole.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoleValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="hole", parent_name="layout.polar", **kwargs):
+        super(HoleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_radialaxis.py b/packages/python/plotly/plotly/validators/layout/polar/_radialaxis.py
new file mode 100644
index 00000000000..adc1c6ad6a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_radialaxis.py
@@ -0,0 +1,295 @@
+import _plotly_utils.basevalidators
+
+
+class RadialaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="radialaxis", parent_name="layout.polar", **kwargs):
+        super(RadialaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "RadialAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            angle
+                Sets the angle (in degrees) from which the
+                radial axis is drawn. Note that by default,
+                radial axis line on the theta=0 line
+                corresponds to a line pointing right (like what
+                mathematicians prefer). Defaults to the first
+                `polar.sector` angle.
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            calendar
+                Sets the calendar system to use for `range` and
+                `tick0` if this is a date axis. This does not
+                set the calendar for interpreting data on this
+                axis, that's specified in the trace or via the
+                global `layout.calendar`
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangemode
+                If *tozero*`, the range extends to 0,
+                regardless of the input data If "nonnegative",
+                the range is non-negative, regardless of the
+                input data. If "normal", the range is computed
+                in relation to the extrema of the input data
+                (same behavior as for cartesian axes).
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            side
+                Determines on which side of radial axis line
+                the tick and tick labels appear.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                polar.radialaxis.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.polar.radialaxis.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of
+                layout.polar.radialaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.polar.radia
+                laxis.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.polar.radialaxis.title.font instead.
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `range`, `autorange`, `angle`, and `title`
+                if in `editable: true` configuration. Defaults
+                to `polar<N>.uirevision`.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_sector.py b/packages/python/plotly/plotly/validators/layout/polar/_sector.py
new file mode 100644
index 00000000000..f99b091e29b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_sector.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class SectorValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="sector", parent_name="layout.polar", **kwargs):
+        super(SectorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/_uirevision.py b/packages/python/plotly/plotly/validators/layout/polar/_uirevision.py
new file mode 100644
index 00000000000..42065ab9416
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.polar", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/__init__.py
index f6877f047a8..027a8ae987d 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/__init__.py
@@ -1,850 +1,100 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thetaunit", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(ThetaunitValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["radians", "degrees"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RotationValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="rotation", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(RotationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PeriodValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="period", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(PeriodValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="layer", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="hoverformat",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="direction", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(DirectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["counterclockwise", "clockwise"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.polar.angularaxis", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="categoryorder",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="categoryarraysrc",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="categoryarray",
-        parent_name="layout.polar.angularaxis",
-        **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._type import TypeValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thetaunit import ThetaunitValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rotation import RotationValidator
+    from ._period import PeriodValidator
+    from ._nticks import NticksValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._direction import DirectionValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._type.TypeValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thetaunit.ThetaunitValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rotation.RotationValidator",
+            "._period.PeriodValidator",
+            "._nticks.NticksValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._direction.DirectionValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryarray.py
new file mode 100644
index 00000000000..01bc7fa4ed8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryarray.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="categoryarray",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..a2d09448694
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryarraysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="categoryarraysrc",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryorder.py
new file mode 100644
index 00000000000..f9ad6253f4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_categoryorder.py
@@ -0,0 +1,38 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="categoryorder",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_color.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_color.py
new file mode 100644
index 00000000000..7413e57ad5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_direction.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_direction.py
new file mode 100644
index 00000000000..fea8558a608
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_direction.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="direction", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(DirectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["counterclockwise", "clockwise"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_dtick.py
new file mode 100644
index 00000000000..07a1f370afc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_exponentformat.py
new file mode 100644
index 00000000000..b51e20da870
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_gridcolor.py
new file mode 100644
index 00000000000..c1aad4cc2f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_gridwidth.py
new file mode 100644
index 00000000000..3e08f99b397
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_hoverformat.py
new file mode 100644
index 00000000000..499aa7ed1df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_hoverformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="hoverformat",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_layer.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_layer.py
new file mode 100644
index 00000000000..0415eace101
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_layer.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="layer", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_linecolor.py
new file mode 100644
index 00000000000..b571ab7e48d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_linewidth.py
new file mode 100644
index 00000000000..5e96f1718b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_nticks.py
new file mode 100644
index 00000000000..f1e5f5f3e39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_period.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_period.py
new file mode 100644
index 00000000000..b27fec15b68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_period.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class PeriodValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="period", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(PeriodValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_rotation.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_rotation.py
new file mode 100644
index 00000000000..30cb2fe15f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_rotation.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class RotationValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="rotation", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(RotationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_separatethousands.py
new file mode 100644
index 00000000000..5e9dece7a52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showexponent.py
new file mode 100644
index 00000000000..4a1ea95e589
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showgrid.py
new file mode 100644
index 00000000000..8634cab3581
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showline.py
new file mode 100644
index 00000000000..9ba0c3a4509
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showticklabels.py
new file mode 100644
index 00000000000..0ccfe555748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showtickprefix.py
new file mode 100644
index 00000000000..bfae95c955b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showticksuffix.py
new file mode 100644
index 00000000000..ffa5a8c1ada
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_thetaunit.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_thetaunit.py
new file mode 100644
index 00000000000..42fae210047
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_thetaunit.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thetaunit", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(ThetaunitValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["radians", "degrees"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tick0.py
new file mode 100644
index 00000000000..4ac31f9cef2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickangle.py
new file mode 100644
index 00000000000..8d5b94ab849
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickcolor.py
new file mode 100644
index 00000000000..0df92266ff6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickfont.py
new file mode 100644
index 00000000000..ef6410c1188
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformat.py
new file mode 100644
index 00000000000..e193175a96f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..809c7a0403c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformatstops.py
new file mode 100644
index 00000000000..90f50624347
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticklen.py
new file mode 100644
index 00000000000..7c4218d3d71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickmode.py
new file mode 100644
index 00000000000..2a50c6faf61
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickprefix.py
new file mode 100644
index 00000000000..b2d8ca01341
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticks.py
new file mode 100644
index 00000000000..1888ba15107
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticksuffix.py
new file mode 100644
index 00000000000..b4c25662269
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticktext.py
new file mode 100644
index 00000000000..5669e026df5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..859d2e437e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickvals.py
new file mode 100644
index 00000000000..7c137b23efc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..0f1ecaf6681
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="layout.polar.angularaxis",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickwidth.py
new file mode 100644
index 00000000000..6674ebc386d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_type.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_type.py
new file mode 100644
index 00000000000..5852f0d2356
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_uirevision.py
new file mode 100644
index 00000000000..52d994505d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_visible.py
new file mode 100644
index 00000000000..97f497a9e4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.polar.angularaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/__init__.py
index 67cfa297f41..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.polar.angularaxis.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.polar.angularaxis.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.polar.angularaxis.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_color.py
new file mode 100644
index 00000000000..0419961e3d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.polar.angularaxis.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_family.py
new file mode 100644
index 00000000000..142261d36b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.polar.angularaxis.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_size.py
new file mode 100644
index 00000000000..7a43a6c4968
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.polar.angularaxis.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/__init__.py
index dab117408fe..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.polar.angularaxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.polar.angularaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.polar.angularaxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.polar.angularaxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.polar.angularaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..050c1215c63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.polar.angularaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..13e4ec9a307
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.polar.angularaxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..0ec84fca1f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.polar.angularaxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..58781c52990
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.polar.angularaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..9acdd3a0cb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/angularaxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.polar.angularaxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/domain/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/domain/__init__.py
index 1af4af2f202..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/domain/__init__.py
@@ -1,72 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.polar.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.polar.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="layout.polar.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="column", parent_name="layout.polar.domain", **kwargs
-    ):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/domain/_column.py b/packages/python/plotly/plotly/validators/layout/polar/domain/_column.py
new file mode 100644
index 00000000000..3a61ea912f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/domain/_column.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="column", parent_name="layout.polar.domain", **kwargs
+    ):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/domain/_row.py b/packages/python/plotly/plotly/validators/layout/polar/domain/_row.py
new file mode 100644
index 00000000000..a1eaa8a27c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="layout.polar.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/domain/_x.py b/packages/python/plotly/plotly/validators/layout/polar/domain/_x.py
new file mode 100644
index 00000000000..ad7c99ca8ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.polar.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/domain/_y.py b/packages/python/plotly/plotly/validators/layout/polar/domain/_y.py
new file mode 100644
index 00000000000..399ede14a00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.polar.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/__init__.py
index fdc33ba7850..80935c5c8db 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/__init__.py
@@ -1,942 +1,106 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["clockwise", "counterclockwise"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="rangemode", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["tozero", "nonnegative", "normal"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="range", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="layer", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="categoryorder",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="categoryarraysrc",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="categoryarray",
-        parent_name="layout.polar.radialaxis",
-        **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="calendar", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="autorange", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AngleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="angle", parent_name="layout.polar.radialaxis", **kwargs
-    ):
-        super(AngleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._side import SideValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._calendar import CalendarValidator
+    from ._autorange import AutorangeValidator
+    from ._angle import AngleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._side.SideValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rangemode.RangemodeValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._calendar.CalendarValidator",
+            "._autorange.AutorangeValidator",
+            "._angle.AngleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_angle.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_angle.py
new file mode 100644
index 00000000000..a186d238839
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_angle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AngleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="angle", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(AngleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_autorange.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_autorange.py
new file mode 100644
index 00000000000..c7bb344ed3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_autorange.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="autorange", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_calendar.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_calendar.py
new file mode 100644
index 00000000000..a6bc1e829c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_calendar.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="calendar", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryarray.py
new file mode 100644
index 00000000000..93362efd77b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryarray.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="categoryarray",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..479b0f026a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryarraysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="categoryarraysrc",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryorder.py
new file mode 100644
index 00000000000..309fa904aab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_categoryorder.py
@@ -0,0 +1,38 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="categoryorder",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_color.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_color.py
new file mode 100644
index 00000000000..bf54151474b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_dtick.py
new file mode 100644
index 00000000000..a0d528a7562
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_exponentformat.py
new file mode 100644
index 00000000000..a09e18aca5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_gridcolor.py
new file mode 100644
index 00000000000..e711fb10954
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_gridwidth.py
new file mode 100644
index 00000000000..b199a16c910
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_hoverformat.py
new file mode 100644
index 00000000000..668316f2c17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_layer.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_layer.py
new file mode 100644
index 00000000000..caf84b6879c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_layer.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="layer", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_linecolor.py
new file mode 100644
index 00000000000..6f620165362
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_linewidth.py
new file mode 100644
index 00000000000..a2819efb305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_nticks.py
new file mode 100644
index 00000000000..6134ec43f3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_range.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_range.py
new file mode 100644
index 00000000000..95c0b48ec6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_range.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="range", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_rangemode.py
new file mode 100644
index 00000000000..eb7251ff658
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_rangemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="rangemode", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["tozero", "nonnegative", "normal"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_separatethousands.py
new file mode 100644
index 00000000000..099c28a18f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showexponent.py
new file mode 100644
index 00000000000..5bd0a2bd0f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showgrid.py
new file mode 100644
index 00000000000..a852091e80d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showline.py
new file mode 100644
index 00000000000..3d15588593a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showticklabels.py
new file mode 100644
index 00000000000..64881416085
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showtickprefix.py
new file mode 100644
index 00000000000..53c783b4edf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showticksuffix.py
new file mode 100644
index 00000000000..dd921179c3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_side.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_side.py
new file mode 100644
index 00000000000..cbf3436b78b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["clockwise", "counterclockwise"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tick0.py
new file mode 100644
index 00000000000..b9d84abe8c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickangle.py
new file mode 100644
index 00000000000..8512c7deab8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickcolor.py
new file mode 100644
index 00000000000..8efb0dd7c69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickfont.py
new file mode 100644
index 00000000000..609a06627d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformat.py
new file mode 100644
index 00000000000..e6dfdad1c60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..4171bddc0a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformatstops.py
new file mode 100644
index 00000000000..7bd317baac5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="layout.polar.radialaxis",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticklen.py
new file mode 100644
index 00000000000..4be18f62cdd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickmode.py
new file mode 100644
index 00000000000..0746b9826cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickprefix.py
new file mode 100644
index 00000000000..cf86838327c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticks.py
new file mode 100644
index 00000000000..e8ef02ac129
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticksuffix.py
new file mode 100644
index 00000000000..3fe35539147
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticktext.py
new file mode 100644
index 00000000000..1f411516678
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..8209d860625
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickvals.py
new file mode 100644
index 00000000000..2b12056bbf1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..8c6a053aeb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickwidth.py
new file mode 100644
index 00000000000..f590b65958e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_title.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_title.py
new file mode 100644
index 00000000000..14a305f373c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_title.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_type.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_type.py
new file mode 100644
index 00000000000..7b8d250516f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_uirevision.py
new file mode 100644
index 00000000000..e1a0df7ceaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_visible.py
new file mode 100644
index 00000000000..05160aee3aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.polar.radialaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/__init__.py
index 7a9395b0c04..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.polar.radialaxis.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.polar.radialaxis.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.polar.radialaxis.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_color.py
new file mode 100644
index 00000000000..5b337502564
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.polar.radialaxis.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_family.py
new file mode 100644
index 00000000000..4bf6348ed3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.polar.radialaxis.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_size.py
new file mode 100644
index 00000000000..8a3a6766f3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.polar.radialaxis.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/__init__.py
index 1add8a26244..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.polar.radialaxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.polar.radialaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.polar.radialaxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.polar.radialaxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.polar.radialaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..26b3a6bbd18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.polar.radialaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a371d62c4b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.polar.radialaxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..13e058d71d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.polar.radialaxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..1c31c8910ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.polar.radialaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..27ed983ed5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.polar.radialaxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/__init__.py
index c0a408a774b..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.polar.radialaxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.polar.radialaxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/_font.py
new file mode 100644
index 00000000000..56ec1a9f6cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.polar.radialaxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/_text.py
new file mode 100644
index 00000000000..40b9c0fa2f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.polar.radialaxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/__init__.py
index 4b030267534..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.polar.radialaxis.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.polar.radialaxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.polar.radialaxis.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_color.py
new file mode 100644
index 00000000000..2aba3c6410b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.polar.radialaxis.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_family.py
new file mode 100644
index 00000000000..c720b3608ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.polar.radialaxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_size.py
new file mode 100644
index 00000000000..980dec7a840
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.polar.radialaxis.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/radialaxis/__init__.py
index 15965b55eb6..c6398191426 100644
--- a/packages/python/plotly/plotly/validators/layout/radialaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/__init__.py
@@ -1,186 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickorientation", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(TickorientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["horizontal", "vertical"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.radialaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="orientation", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndpaddingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="endpadding", parent_name="layout.radialaxis", **kwargs
-    ):
-        super(EndpaddingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.radialaxis", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._tickorientation import TickorientationValidator
+    from ._ticklen import TicklenValidator
+    from ._tickcolor import TickcolorValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._range import RangeValidator
+    from ._orientation import OrientationValidator
+    from ._endpadding import EndpaddingValidator
+    from ._domain import DomainValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._tickorientation.TickorientationValidator",
+            "._ticklen.TicklenValidator",
+            "._tickcolor.TickcolorValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._range.RangeValidator",
+            "._orientation.OrientationValidator",
+            "._endpadding.EndpaddingValidator",
+            "._domain.DomainValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_domain.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_domain.py
new file mode 100644
index 00000000000..4ece16654ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_domain.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.radialaxis", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_endpadding.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_endpadding.py
new file mode 100644
index 00000000000..18efae1c9c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_endpadding.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EndpaddingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="endpadding", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(EndpaddingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_orientation.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_orientation.py
new file mode 100644
index 00000000000..78d8683f078
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_orientation.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="orientation", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_range.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_range.py
new file mode 100644
index 00000000000..b2049ed73b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_range.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.radialaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_showline.py
new file mode 100644
index 00000000000..13ae4e1d009
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_showticklabels.py
new file mode 100644
index 00000000000..200402644b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_tickcolor.py
new file mode 100644
index 00000000000..ae905d87a10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_ticklen.py
new file mode 100644
index 00000000000..5ac8eb66a28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_tickorientation.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_tickorientation.py
new file mode 100644
index 00000000000..33f97614a99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_tickorientation.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickorientation", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(TickorientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["horizontal", "vertical"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_ticksuffix.py
new file mode 100644
index 00000000000..8991256103b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/radialaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/radialaxis/_visible.py
new file mode 100644
index 00000000000..e0c0e13c95a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/radialaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.radialaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/__init__.py
index 1a2792835a3..929f98b4368 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/__init__.py
@@ -1,1300 +1,38 @@
-import _plotly_utils.basevalidators
-
-
-class ZAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="zaxis", parent_name="layout.scene", **kwargs):
-        super(ZAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ZAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            backgroundcolor
-                Sets the background color of this axis' wall.
-            calendar
-                Sets the calendar system to use for `range` and
-                `tick0` if this is a date axis. This does not
-                set the calendar for interpreting data on this
-                axis, that's specified in the trace or via the
-                global `layout.calendar`
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            mirror
-                Determines if the axis lines or/and ticks are
-                mirrored to the opposite side of the plotting
-                area. If True, the axis lines are mirrored. If
-                "ticks", the axis lines and ticks are mirrored.
-                If False, mirroring is disable. If "all", axis
-                lines are mirrored on all shared-axes subplots.
-                If "allticks", axis lines and ticks are
-                mirrored on all shared-axes subplots.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data. Applies
-                only to linear axes.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showaxeslabels
-                Sets whether or not this axis is labeled
-            showbackground
-                Sets whether or not this axis' wall has a
-                background color.
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showspikes
-                Sets whether or not spikes starting from data
-                points to this axis' wall are shown on hover.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            spikecolor
-                Sets the color of the spikes.
-            spikesides
-                Sets whether or not spikes extending from the
-                projection data points to this axis' wall
-                boundaries are shown on hover.
-            spikethickness
-                Sets the thickness (in px) of the spikes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                scene.zaxis.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.scene.zaxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of layout.scene.zaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.scene.zaxis
-                .Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.scene.zaxis.title.font instead. Sets
-                this axis' title font. Note that the title's
-                font used to be customized by the now
-                deprecated `titlefont` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-            zeroline
-                Determines whether or not a line is drawn at
-                along the 0 value of this axis. If True, the
-                zero line is drawn on top of the grid lines.
-            zerolinecolor
-                Sets the line color of the zero line.
-            zerolinewidth
-                Sets the width (in px) of the zero line.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="layout.scene", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "YAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            backgroundcolor
-                Sets the background color of this axis' wall.
-            calendar
-                Sets the calendar system to use for `range` and
-                `tick0` if this is a date axis. This does not
-                set the calendar for interpreting data on this
-                axis, that's specified in the trace or via the
-                global `layout.calendar`
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            mirror
-                Determines if the axis lines or/and ticks are
-                mirrored to the opposite side of the plotting
-                area. If True, the axis lines are mirrored. If
-                "ticks", the axis lines and ticks are mirrored.
-                If False, mirroring is disable. If "all", axis
-                lines are mirrored on all shared-axes subplots.
-                If "allticks", axis lines and ticks are
-                mirrored on all shared-axes subplots.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data. Applies
-                only to linear axes.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showaxeslabels
-                Sets whether or not this axis is labeled
-            showbackground
-                Sets whether or not this axis' wall has a
-                background color.
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showspikes
-                Sets whether or not spikes starting from data
-                points to this axis' wall are shown on hover.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            spikecolor
-                Sets the color of the spikes.
-            spikesides
-                Sets whether or not spikes extending from the
-                projection data points to this axis' wall
-                boundaries are shown on hover.
-            spikethickness
-                Sets the thickness (in px) of the spikes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                scene.yaxis.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.scene.yaxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of layout.scene.yaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.scene.yaxis
-                .Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.scene.yaxis.title.font instead. Sets
-                this axis' title font. Note that the title's
-                font used to be customized by the now
-                deprecated `titlefont` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-            zeroline
-                Determines whether or not a line is drawn at
-                along the 0 value of this axis. If True, the
-                zero line is drawn on top of the grid lines.
-            zerolinecolor
-                Sets the line color of the zero line.
-            zerolinewidth
-                Sets the width (in px) of the zero line.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="layout.scene", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "XAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autorange
-                Determines whether or not the range of this
-                axis is computed in relation to the input data.
-                See `rangemode` for more info. If `range` is
-                provided, then `autorange` is set to False.
-            backgroundcolor
-                Sets the background color of this axis' wall.
-            calendar
-                Sets the calendar system to use for `range` and
-                `tick0` if this is a date axis. This does not
-                set the calendar for interpreting data on this
-                axis, that's specified in the trace or via the
-                global `layout.calendar`
-            categoryarray
-                Sets the order in which categories on this axis
-                appear. Only has an effect if `categoryorder`
-                is set to "array". Used with `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the case of
-                categorical variables. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`. Set
-                `categoryorder` to *total ascending* or *total
-                descending* if order should be determined by
-                the numerical order of the values. Similarly,
-                the order can be determined by the min, max,
-                sum, mean or median of all the values.
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            mirror
-                Determines if the axis lines or/and ticks are
-                mirrored to the opposite side of the plotting
-                area. If True, the axis lines are mirrored. If
-                "ticks", the axis lines and ticks are mirrored.
-                If False, mirroring is disable. If "all", axis
-                lines are mirrored on all shared-axes subplots.
-                If "allticks", axis lines and ticks are
-                mirrored on all shared-axes subplots.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            range
-                Sets the range of this axis. If the axis `type`
-                is "log", then you must take the log of your
-                desired range (e.g. to set the range from 1 to
-                100, set the range from 0 to 2). If the axis
-                `type` is "date", it should be date strings,
-                like date data, though Date objects and unix
-                milliseconds will be accepted and converted to
-                strings. If the axis `type` is "category", it
-                should be numbers, using the scale where each
-                category is assigned a serial number from zero
-                in the order it appears.
-            rangemode
-                If "normal", the range is computed in relation
-                to the extrema of the input data. If *tozero*`,
-                the range extends to 0, regardless of the input
-                data If "nonnegative", the range is non-
-                negative, regardless of the input data. Applies
-                only to linear axes.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showaxeslabels
-                Sets whether or not this axis is labeled
-            showbackground
-                Sets whether or not this axis' wall has a
-                background color.
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showspikes
-                Sets whether or not spikes starting from data
-                points to this axis' wall are shown on hover.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            spikecolor
-                Sets the color of the spikes.
-            spikesides
-                Sets whether or not spikes extending from the
-                projection data points to this axis' wall
-                boundaries are shown on hover.
-            spikethickness
-                Sets the thickness (in px) of the spikes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                scene.xaxis.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.scene.xaxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of layout.scene.xaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.scene.xaxis
-                .Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.scene.xaxis.title.font instead. Sets
-                this axis' title font. Note that the title's
-                font used to be customized by the now
-                deprecated `titlefont` attribute.
-            type
-                Sets the axis type. By default, plotly attempts
-                to determined the axis type by looking into the
-                data of the traces that referenced the axis in
-                question.
-            visible
-                A single toggle to hide the axis while
-                preserving interaction like dragging. Default
-                is true when a cheater plot is present on the
-                axis, otherwise false
-            zeroline
-                Determines whether or not a line is drawn at
-                along the 0 value of this axis. If True, the
-                zero line is drawn on top of the grid lines.
-            zerolinecolor
-                Sets the line color of the zero line.
-            zerolinewidth
-                Sets the width (in px) of the zero line.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.scene", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovermodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="hovermode", parent_name="layout.scene", **kwargs):
-        super(HovermodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["closest", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DragmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="dragmode", parent_name="layout.scene", **kwargs):
-        super(DragmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["orbit", "turntable", "zoom", "pan", False]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.scene", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this scene subplot
-                .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this scene subplot .
-            x
-                Sets the horizontal domain of this scene
-                subplot (in plot fraction).
-            y
-                Sets the vertical domain of this scene subplot
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CameraValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="camera", parent_name="layout.scene", **kwargs):
-        super(CameraValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Camera"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            center
-                Sets the (x,y,z) components of the 'center'
-                camera vector This vector determines the
-                translation (x,y,z) space about the center of
-                this scene. By default, there is no such
-                translation.
-            eye
-                Sets the (x,y,z) components of the 'eye' camera
-                vector. This vector determines the view point
-                about the origin of this scene.
-            projection
-                :class:`plotly.graph_objects.layout.scene.camer
-                a.Projection` instance or dict with compatible
-                properties
-            up
-                Sets the (x,y,z) components of the 'up' camera
-                vector. This vector determines the up direction
-                of this scene with respect to the page. The
-                default is *{x: 0, y: 0, z: 1}* which means
-                that the z axis points up.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.scene", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AspectratioValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="aspectratio", parent_name="layout.scene", **kwargs):
-        super(AspectratioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Aspectratio"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-
-            y
-
-            z
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AspectmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="aspectmode", parent_name="layout.scene", **kwargs):
-        super(AspectmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "cube", "data", "manual"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnnotationValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="annotationdefaults", parent_name="layout.scene", **kwargs
-    ):
-        super(AnnotationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Annotation"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnnotationsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="annotations", parent_name="layout.scene", **kwargs):
-        super(AnnotationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Annotation"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the `text`
-                within the box. Has an effect only if `text`
-                spans two or more lines (i.e. `text` contains
-                one or more <br> HTML tags) or if an explicit
-                width is set to override the text width.
-            arrowcolor
-                Sets the color of the annotation arrow.
-            arrowhead
-                Sets the end annotation arrow head style.
-            arrowside
-                Sets the annotation arrow head position.
-            arrowsize
-                Sets the size of the end annotation arrow head,
-                relative to `arrowwidth`. A value of 1
-                (default) gives a head about 3x as wide as the
-                line.
-            arrowwidth
-                Sets the width (in px) of annotation arrow
-                line.
-            ax
-                Sets the x component of the arrow tail about
-                the arrow head (in pixels).
-            ay
-                Sets the y component of the arrow tail about
-                the arrow head (in pixels).
-            bgcolor
-                Sets the background color of the annotation.
-            bordercolor
-                Sets the color of the border enclosing the
-                annotation `text`.
-            borderpad
-                Sets the padding (in px) between the `text` and
-                the enclosing border.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the annotation `text`.
-            captureevents
-                Determines whether the annotation text box
-                captures mouse move and click events, or allows
-                those events to pass through to data points in
-                the plot that may be behind the annotation. By
-                default `captureevents` is False unless
-                `hovertext` is provided. If you use the event
-                `plotly_clickannotation` without `hovertext`
-                you must explicitly enable `captureevents`.
-            font
-                Sets the annotation text font.
-            height
-                Sets an explicit height for the text box. null
-                (default) lets the text set the box height.
-                Taller text will be clipped.
-            hoverlabel
-                :class:`plotly.graph_objects.layout.scene.annot
-                ation.Hoverlabel` instance or dict with
-                compatible properties
-            hovertext
-                Sets text to appear when hovering over this
-                annotation. If omitted or blank, no hover label
-                will appear.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            opacity
-                Sets the opacity of the annotation (text +
-                arrow).
-            showarrow
-                Determines whether or not the annotation is
-                drawn with an arrow. If True, `text` is placed
-                near the arrow's tail. If False, `text` lines
-                up with the `x` and `y` provided.
-            standoff
-                Sets a distance, in pixels, to move the end
-                arrowhead away from the position it is pointing
-                at, for example to point at the edge of a
-                marker independent of zoom. Note that this
-                shortens the arrow from the `ax` / `ay` vector,
-                in contrast to `xshift` / `yshift` which moves
-                everything by this amount.
-            startarrowhead
-                Sets the start annotation arrow head style.
-            startarrowsize
-                Sets the size of the start annotation arrow
-                head, relative to `arrowwidth`. A value of 1
-                (default) gives a head about 3x as wide as the
-                line.
-            startstandoff
-                Sets a distance, in pixels, to move the start
-                arrowhead away from the position it is pointing
-                at, for example to point at the edge of a
-                marker independent of zoom. Note that this
-                shortens the arrow from the `ax` / `ay` vector,
-                in contrast to `xshift` / `yshift` which moves
-                everything by this amount.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            text
-                Sets the text associated with this annotation.
-                Plotly uses a subset of HTML tags to do things
-                like newline (<br>), bold (<b></b>), italics
-                (<i></i>), hyperlinks (<a href='...'></a>).
-                Tags <em>, <sup>, <sub> <span> are also
-                supported.
-            textangle
-                Sets the angle at which the `text` is drawn
-                with respect to the horizontal.
-            valign
-                Sets the vertical alignment of the `text`
-                within the box. Has an effect only if an
-                explicit height is set to override the text
-                height.
-            visible
-                Determines whether or not this annotation is
-                visible.
-            width
-                Sets an explicit width for the text box. null
-                (default) lets the text set the box width.
-                Wider text will be clipped. There is no
-                automatic wrapping; use <br> to start a new
-                line.
-            x
-                Sets the annotation's x position.
-            xanchor
-                Sets the text box's horizontal position anchor
-                This anchor binds the `x` position to the
-                "left", "center" or "right" of the annotation.
-                For example, if `x` is set to 1, `xref` to
-                "paper" and `xanchor` to "right" then the
-                right-most portion of the annotation lines up
-                with the right-most edge of the plotting area.
-                If "auto", the anchor is equivalent to "center"
-                for data-referenced annotations or if there is
-                an arrow, whereas for paper-referenced with no
-                arrow, the anchor picked corresponds to the
-                closest side.
-            xshift
-                Shifts the position of the whole annotation and
-                arrow to the right (positive) or left
-                (negative) by this many pixels.
-            y
-                Sets the annotation's y position.
-            yanchor
-                Sets the text box's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the annotation.
-                For example, if `y` is set to 1, `yref` to
-                "paper" and `yanchor` to "top" then the top-
-                most portion of the annotation lines up with
-                the top-most edge of the plotting area. If
-                "auto", the anchor is equivalent to "middle"
-                for data-referenced annotations or if there is
-                an arrow, whereas for paper-referenced with no
-                arrow, the anchor picked corresponds to the
-                closest side.
-            yshift
-                Shifts the position of the whole annotation and
-                arrow up (positive) or down (negative) by this
-                many pixels.
-            z
-                Sets the annotation's z position.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zaxis import ZaxisValidator
+    from ._yaxis import YaxisValidator
+    from ._xaxis import XaxisValidator
+    from ._uirevision import UirevisionValidator
+    from ._hovermode import HovermodeValidator
+    from ._dragmode import DragmodeValidator
+    from ._domain import DomainValidator
+    from ._camera import CameraValidator
+    from ._bgcolor import BgcolorValidator
+    from ._aspectratio import AspectratioValidator
+    from ._aspectmode import AspectmodeValidator
+    from ._annotationdefaults import AnnotationdefaultsValidator
+    from ._annotations import AnnotationsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zaxis.ZaxisValidator",
+            "._yaxis.YaxisValidator",
+            "._xaxis.XaxisValidator",
+            "._uirevision.UirevisionValidator",
+            "._hovermode.HovermodeValidator",
+            "._dragmode.DragmodeValidator",
+            "._domain.DomainValidator",
+            "._camera.CameraValidator",
+            "._bgcolor.BgcolorValidator",
+            "._aspectratio.AspectratioValidator",
+            "._aspectmode.AspectmodeValidator",
+            "._annotationdefaults.AnnotationdefaultsValidator",
+            "._annotations.AnnotationsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_annotationdefaults.py b/packages/python/plotly/plotly/validators/layout/scene/_annotationdefaults.py
new file mode 100644
index 00000000000..872fc1700d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_annotationdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AnnotationdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="annotationdefaults", parent_name="layout.scene", **kwargs
+    ):
+        super(AnnotationdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Annotation"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_annotations.py b/packages/python/plotly/plotly/validators/layout/scene/_annotations.py
new file mode 100644
index 00000000000..601ef0b6fc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_annotations.py
@@ -0,0 +1,192 @@
+import _plotly_utils.basevalidators
+
+
+class AnnotationsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="annotations", parent_name="layout.scene", **kwargs):
+        super(AnnotationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Annotation"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the `text`
+                within the box. Has an effect only if `text`
+                spans two or more lines (i.e. `text` contains
+                one or more <br> HTML tags) or if an explicit
+                width is set to override the text width.
+            arrowcolor
+                Sets the color of the annotation arrow.
+            arrowhead
+                Sets the end annotation arrow head style.
+            arrowside
+                Sets the annotation arrow head position.
+            arrowsize
+                Sets the size of the end annotation arrow head,
+                relative to `arrowwidth`. A value of 1
+                (default) gives a head about 3x as wide as the
+                line.
+            arrowwidth
+                Sets the width (in px) of annotation arrow
+                line.
+            ax
+                Sets the x component of the arrow tail about
+                the arrow head (in pixels).
+            ay
+                Sets the y component of the arrow tail about
+                the arrow head (in pixels).
+            bgcolor
+                Sets the background color of the annotation.
+            bordercolor
+                Sets the color of the border enclosing the
+                annotation `text`.
+            borderpad
+                Sets the padding (in px) between the `text` and
+                the enclosing border.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the annotation `text`.
+            captureevents
+                Determines whether the annotation text box
+                captures mouse move and click events, or allows
+                those events to pass through to data points in
+                the plot that may be behind the annotation. By
+                default `captureevents` is False unless
+                `hovertext` is provided. If you use the event
+                `plotly_clickannotation` without `hovertext`
+                you must explicitly enable `captureevents`.
+            font
+                Sets the annotation text font.
+            height
+                Sets an explicit height for the text box. null
+                (default) lets the text set the box height.
+                Taller text will be clipped.
+            hoverlabel
+                :class:`plotly.graph_objects.layout.scene.annot
+                ation.Hoverlabel` instance or dict with
+                compatible properties
+            hovertext
+                Sets text to appear when hovering over this
+                annotation. If omitted or blank, no hover label
+                will appear.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            opacity
+                Sets the opacity of the annotation (text +
+                arrow).
+            showarrow
+                Determines whether or not the annotation is
+                drawn with an arrow. If True, `text` is placed
+                near the arrow's tail. If False, `text` lines
+                up with the `x` and `y` provided.
+            standoff
+                Sets a distance, in pixels, to move the end
+                arrowhead away from the position it is pointing
+                at, for example to point at the edge of a
+                marker independent of zoom. Note that this
+                shortens the arrow from the `ax` / `ay` vector,
+                in contrast to `xshift` / `yshift` which moves
+                everything by this amount.
+            startarrowhead
+                Sets the start annotation arrow head style.
+            startarrowsize
+                Sets the size of the start annotation arrow
+                head, relative to `arrowwidth`. A value of 1
+                (default) gives a head about 3x as wide as the
+                line.
+            startstandoff
+                Sets a distance, in pixels, to move the start
+                arrowhead away from the position it is pointing
+                at, for example to point at the edge of a
+                marker independent of zoom. Note that this
+                shortens the arrow from the `ax` / `ay` vector,
+                in contrast to `xshift` / `yshift` which moves
+                everything by this amount.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            text
+                Sets the text associated with this annotation.
+                Plotly uses a subset of HTML tags to do things
+                like newline (<br>), bold (<b></b>), italics
+                (<i></i>), hyperlinks (<a href='...'></a>).
+                Tags <em>, <sup>, <sub> <span> are also
+                supported.
+            textangle
+                Sets the angle at which the `text` is drawn
+                with respect to the horizontal.
+            valign
+                Sets the vertical alignment of the `text`
+                within the box. Has an effect only if an
+                explicit height is set to override the text
+                height.
+            visible
+                Determines whether or not this annotation is
+                visible.
+            width
+                Sets an explicit width for the text box. null
+                (default) lets the text set the box width.
+                Wider text will be clipped. There is no
+                automatic wrapping; use <br> to start a new
+                line.
+            x
+                Sets the annotation's x position.
+            xanchor
+                Sets the text box's horizontal position anchor
+                This anchor binds the `x` position to the
+                "left", "center" or "right" of the annotation.
+                For example, if `x` is set to 1, `xref` to
+                "paper" and `xanchor` to "right" then the
+                right-most portion of the annotation lines up
+                with the right-most edge of the plotting area.
+                If "auto", the anchor is equivalent to "center"
+                for data-referenced annotations or if there is
+                an arrow, whereas for paper-referenced with no
+                arrow, the anchor picked corresponds to the
+                closest side.
+            xshift
+                Shifts the position of the whole annotation and
+                arrow to the right (positive) or left
+                (negative) by this many pixels.
+            y
+                Sets the annotation's y position.
+            yanchor
+                Sets the text box's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the annotation.
+                For example, if `y` is set to 1, `yref` to
+                "paper" and `yanchor` to "top" then the top-
+                most portion of the annotation lines up with
+                the top-most edge of the plotting area. If
+                "auto", the anchor is equivalent to "middle"
+                for data-referenced annotations or if there is
+                an arrow, whereas for paper-referenced with no
+                arrow, the anchor picked corresponds to the
+                closest side.
+            yshift
+                Shifts the position of the whole annotation and
+                arrow up (positive) or down (negative) by this
+                many pixels.
+            z
+                Sets the annotation's z position.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_aspectmode.py b/packages/python/plotly/plotly/validators/layout/scene/_aspectmode.py
new file mode 100644
index 00000000000..5a8e21b36ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_aspectmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AspectmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="aspectmode", parent_name="layout.scene", **kwargs):
+        super(AspectmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "cube", "data", "manual"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_aspectratio.py b/packages/python/plotly/plotly/validators/layout/scene/_aspectratio.py
new file mode 100644
index 00000000000..25fabfd9ae4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_aspectratio.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class AspectratioValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="aspectratio", parent_name="layout.scene", **kwargs):
+        super(AspectratioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Aspectratio"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+
+            y
+
+            z
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/scene/_bgcolor.py
new file mode 100644
index 00000000000..d5b44241d2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.scene", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_camera.py b/packages/python/plotly/plotly/validators/layout/scene/_camera.py
new file mode 100644
index 00000000000..cc52545753f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_camera.py
@@ -0,0 +1,36 @@
+import _plotly_utils.basevalidators
+
+
+class CameraValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="camera", parent_name="layout.scene", **kwargs):
+        super(CameraValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Camera"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            center
+                Sets the (x,y,z) components of the 'center'
+                camera vector This vector determines the
+                translation (x,y,z) space about the center of
+                this scene. By default, there is no such
+                translation.
+            eye
+                Sets the (x,y,z) components of the 'eye' camera
+                vector. This vector determines the view point
+                about the origin of this scene.
+            projection
+                :class:`plotly.graph_objects.layout.scene.camer
+                a.Projection` instance or dict with compatible
+                properties
+            up
+                Sets the (x,y,z) components of the 'up' camera
+                vector. This vector determines the up direction
+                of this scene with respect to the page. The
+                default is *{x: 0, y: 0, z: 1}* which means
+                that the z axis points up.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_domain.py b/packages/python/plotly/plotly/validators/layout/scene/_domain.py
new file mode 100644
index 00000000000..822668dee50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.scene", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this scene subplot
+                .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this scene subplot .
+            x
+                Sets the horizontal domain of this scene
+                subplot (in plot fraction).
+            y
+                Sets the vertical domain of this scene subplot
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_dragmode.py b/packages/python/plotly/plotly/validators/layout/scene/_dragmode.py
new file mode 100644
index 00000000000..1e970cf27bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_dragmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DragmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="dragmode", parent_name="layout.scene", **kwargs):
+        super(DragmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["orbit", "turntable", "zoom", "pan", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_hovermode.py b/packages/python/plotly/plotly/validators/layout/scene/_hovermode.py
new file mode 100644
index 00000000000..6a794da2485
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_hovermode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovermodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="hovermode", parent_name="layout.scene", **kwargs):
+        super(HovermodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["closest", False]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_uirevision.py b/packages/python/plotly/plotly/validators/layout/scene/_uirevision.py
new file mode 100644
index 00000000000..416ca9f5f4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.scene", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_xaxis.py b/packages/python/plotly/plotly/validators/layout/scene/_xaxis.py
new file mode 100644
index 00000000000..f5e7fa2a765
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_xaxis.py
@@ -0,0 +1,305 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="layout.scene", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "XAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            backgroundcolor
+                Sets the background color of this axis' wall.
+            calendar
+                Sets the calendar system to use for `range` and
+                `tick0` if this is a date axis. This does not
+                set the calendar for interpreting data on this
+                axis, that's specified in the trace or via the
+                global `layout.calendar`
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            mirror
+                Determines if the axis lines or/and ticks are
+                mirrored to the opposite side of the plotting
+                area. If True, the axis lines are mirrored. If
+                "ticks", the axis lines and ticks are mirrored.
+                If False, mirroring is disable. If "all", axis
+                lines are mirrored on all shared-axes subplots.
+                If "allticks", axis lines and ticks are
+                mirrored on all shared-axes subplots.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data. Applies
+                only to linear axes.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showaxeslabels
+                Sets whether or not this axis is labeled
+            showbackground
+                Sets whether or not this axis' wall has a
+                background color.
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showspikes
+                Sets whether or not spikes starting from data
+                points to this axis' wall are shown on hover.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            spikecolor
+                Sets the color of the spikes.
+            spikesides
+                Sets whether or not spikes extending from the
+                projection data points to this axis' wall
+                boundaries are shown on hover.
+            spikethickness
+                Sets the thickness (in px) of the spikes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                scene.xaxis.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.scene.xaxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of layout.scene.xaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.scene.xaxis
+                .Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.scene.xaxis.title.font instead. Sets
+                this axis' title font. Note that the title's
+                font used to be customized by the now
+                deprecated `titlefont` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+            zeroline
+                Determines whether or not a line is drawn at
+                along the 0 value of this axis. If True, the
+                zero line is drawn on top of the grid lines.
+            zerolinecolor
+                Sets the line color of the zero line.
+            zerolinewidth
+                Sets the width (in px) of the zero line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_yaxis.py b/packages/python/plotly/plotly/validators/layout/scene/_yaxis.py
new file mode 100644
index 00000000000..565cbdaf106
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_yaxis.py
@@ -0,0 +1,305 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="layout.scene", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "YAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            backgroundcolor
+                Sets the background color of this axis' wall.
+            calendar
+                Sets the calendar system to use for `range` and
+                `tick0` if this is a date axis. This does not
+                set the calendar for interpreting data on this
+                axis, that's specified in the trace or via the
+                global `layout.calendar`
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            mirror
+                Determines if the axis lines or/and ticks are
+                mirrored to the opposite side of the plotting
+                area. If True, the axis lines are mirrored. If
+                "ticks", the axis lines and ticks are mirrored.
+                If False, mirroring is disable. If "all", axis
+                lines are mirrored on all shared-axes subplots.
+                If "allticks", axis lines and ticks are
+                mirrored on all shared-axes subplots.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data. Applies
+                only to linear axes.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showaxeslabels
+                Sets whether or not this axis is labeled
+            showbackground
+                Sets whether or not this axis' wall has a
+                background color.
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showspikes
+                Sets whether or not spikes starting from data
+                points to this axis' wall are shown on hover.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            spikecolor
+                Sets the color of the spikes.
+            spikesides
+                Sets whether or not spikes extending from the
+                projection data points to this axis' wall
+                boundaries are shown on hover.
+            spikethickness
+                Sets the thickness (in px) of the spikes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                scene.yaxis.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.scene.yaxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of layout.scene.yaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.scene.yaxis
+                .Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.scene.yaxis.title.font instead. Sets
+                this axis' title font. Note that the title's
+                font used to be customized by the now
+                deprecated `titlefont` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+            zeroline
+                Determines whether or not a line is drawn at
+                along the 0 value of this axis. If True, the
+                zero line is drawn on top of the grid lines.
+            zerolinecolor
+                Sets the line color of the zero line.
+            zerolinewidth
+                Sets the width (in px) of the zero line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/_zaxis.py b/packages/python/plotly/plotly/validators/layout/scene/_zaxis.py
new file mode 100644
index 00000000000..5dd40abcfd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/_zaxis.py
@@ -0,0 +1,305 @@
+import _plotly_utils.basevalidators
+
+
+class ZaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="zaxis", parent_name="layout.scene", **kwargs):
+        super(ZaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ZAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autorange
+                Determines whether or not the range of this
+                axis is computed in relation to the input data.
+                See `rangemode` for more info. If `range` is
+                provided, then `autorange` is set to False.
+            backgroundcolor
+                Sets the background color of this axis' wall.
+            calendar
+                Sets the calendar system to use for `range` and
+                `tick0` if this is a date axis. This does not
+                set the calendar for interpreting data on this
+                axis, that's specified in the trace or via the
+                global `layout.calendar`
+            categoryarray
+                Sets the order in which categories on this axis
+                appear. Only has an effect if `categoryorder`
+                is set to "array". Used with `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the case of
+                categorical variables. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`. Set
+                `categoryorder` to *total ascending* or *total
+                descending* if order should be determined by
+                the numerical order of the values. Similarly,
+                the order can be determined by the min, max,
+                sum, mean or median of all the values.
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            mirror
+                Determines if the axis lines or/and ticks are
+                mirrored to the opposite side of the plotting
+                area. If True, the axis lines are mirrored. If
+                "ticks", the axis lines and ticks are mirrored.
+                If False, mirroring is disable. If "all", axis
+                lines are mirrored on all shared-axes subplots.
+                If "allticks", axis lines and ticks are
+                mirrored on all shared-axes subplots.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            range
+                Sets the range of this axis. If the axis `type`
+                is "log", then you must take the log of your
+                desired range (e.g. to set the range from 1 to
+                100, set the range from 0 to 2). If the axis
+                `type` is "date", it should be date strings,
+                like date data, though Date objects and unix
+                milliseconds will be accepted and converted to
+                strings. If the axis `type` is "category", it
+                should be numbers, using the scale where each
+                category is assigned a serial number from zero
+                in the order it appears.
+            rangemode
+                If "normal", the range is computed in relation
+                to the extrema of the input data. If *tozero*`,
+                the range extends to 0, regardless of the input
+                data If "nonnegative", the range is non-
+                negative, regardless of the input data. Applies
+                only to linear axes.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showaxeslabels
+                Sets whether or not this axis is labeled
+            showbackground
+                Sets whether or not this axis' wall has a
+                background color.
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showspikes
+                Sets whether or not spikes starting from data
+                points to this axis' wall are shown on hover.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            spikecolor
+                Sets the color of the spikes.
+            spikesides
+                Sets whether or not spikes extending from the
+                projection data points to this axis' wall
+                boundaries are shown on hover.
+            spikethickness
+                Sets the thickness (in px) of the spikes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                scene.zaxis.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.scene.zaxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of layout.scene.zaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.scene.zaxis
+                .Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.scene.zaxis.title.font instead. Sets
+                this axis' title font. Note that the title's
+                font used to be customized by the now
+                deprecated `titlefont` attribute.
+            type
+                Sets the axis type. By default, plotly attempts
+                to determined the axis type by looking into the
+                data of the traces that referenced the axis in
+                question.
+            visible
+                A single toggle to hide the axis while
+                preserving interaction like dragging. Default
+                is true when a cheater plot is present on the
+                axis, otherwise false
+            zeroline
+                Determines whether or not a line is drawn at
+                along the 0 value of this axis. If True, the
+                zero line is drawn on top of the grid lines.
+            zerolinecolor
+                Sets the line color of the zero line.
+            zerolinewidth
+                Sets the width (in px) of the zero line.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/__init__.py
index 2cee6650017..b98a7c6f264 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/annotation/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/__init__.py
@@ -1,667 +1,86 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YshiftValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="yshift", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(YshiftValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XshiftValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xshift", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(XshiftValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="valign", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ValignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="textangle", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(TextangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.scene.annotation",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartstandoffValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="startstandoff",
-        parent_name="layout.scene.annotation",
-        **kwargs
-    ):
-        super(StartstandoffValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartarrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="startarrowsize",
-        parent_name="layout.scene.annotation",
-        **kwargs
-    ):
-        super(StartarrowsizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0.3),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartarrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="startarrowhead",
-        parent_name="layout.scene.annotation",
-        **kwargs
-    ):
-        super(StartarrowheadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 8),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="standoff", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(StandoffValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowarrowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showarrow", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ShowarrowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertext", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="hoverlabel", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the background color of the hover label.
-                By default uses the annotation's `bgcolor` made
-                opaque, or white if it was transparent.
-            bordercolor
-                Sets the border color of the hover label. By
-                default uses either dark grey or white, for
-                maximum contrast with `hoverlabel.bgcolor`.
-            font
-                Sets the hover label text font. By default uses
-                the global hover font and size, with color from
-                `hoverlabel.bordercolor`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="height", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(HeightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CaptureeventsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="captureevents",
-        parent_name="layout.scene.annotation",
-        **kwargs
-    ):
-        super(CaptureeventsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderpad", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(BorderpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ay", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(AyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ax", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(AxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="arrowwidth", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ArrowwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0.1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="arrowsize", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ArrowsizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0.3),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowsideValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(
-        self, plotly_name="arrowside", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ArrowsideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["end", "start"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="arrowhead", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ArrowheadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 8),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrowcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="arrowcolor", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(ArrowcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="layout.scene.annotation", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._yshift import YshiftValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xshift import XshiftValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valign import ValignValidator
+    from ._textangle import TextangleValidator
+    from ._text import TextValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._startstandoff import StartstandoffValidator
+    from ._startarrowsize import StartarrowsizeValidator
+    from ._startarrowhead import StartarrowheadValidator
+    from ._standoff import StandoffValidator
+    from ._showarrow import ShowarrowValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._hovertext import HovertextValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._height import HeightValidator
+    from ._font import FontValidator
+    from ._captureevents import CaptureeventsValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._borderpad import BorderpadValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._ay import AyValidator
+    from ._ax import AxValidator
+    from ._arrowwidth import ArrowwidthValidator
+    from ._arrowsize import ArrowsizeValidator
+    from ._arrowside import ArrowsideValidator
+    from ._arrowhead import ArrowheadValidator
+    from ._arrowcolor import ArrowcolorValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._z.ZValidator",
+            "._yshift.YshiftValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xshift.XshiftValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valign.ValignValidator",
+            "._textangle.TextangleValidator",
+            "._text.TextValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._startstandoff.StartstandoffValidator",
+            "._startarrowsize.StartarrowsizeValidator",
+            "._startarrowhead.StartarrowheadValidator",
+            "._standoff.StandoffValidator",
+            "._showarrow.ShowarrowValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._hovertext.HovertextValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._height.HeightValidator",
+            "._font.FontValidator",
+            "._captureevents.CaptureeventsValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._borderpad.BorderpadValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._ay.AyValidator",
+            "._ax.AxValidator",
+            "._arrowwidth.ArrowwidthValidator",
+            "._arrowsize.ArrowsizeValidator",
+            "._arrowside.ArrowsideValidator",
+            "._arrowhead.ArrowheadValidator",
+            "._arrowcolor.ArrowcolorValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_align.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_align.py
new file mode 100644
index 00000000000..ecd52f2ac48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_align.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowcolor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowcolor.py
new file mode 100644
index 00000000000..c97b8f7094d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="arrowcolor", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ArrowcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowhead.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowhead.py
new file mode 100644
index 00000000000..32016a9496d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowhead.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="arrowhead", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ArrowheadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 8),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowside.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowside.py
new file mode 100644
index 00000000000..43564c6467e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowside.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowsideValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(
+        self, plotly_name="arrowside", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ArrowsideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["end", "start"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowsize.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowsize.py
new file mode 100644
index 00000000000..1a0a060ddc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowsize.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="arrowsize", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ArrowsizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0.3),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowwidth.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowwidth.py
new file mode 100644
index 00000000000..e1a2eb7ffa0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_arrowwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ArrowwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="arrowwidth", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ArrowwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0.1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_ax.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_ax.py
new file mode 100644
index 00000000000..f3cb9058afb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_ax.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ax", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(AxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_ay.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_ay.py
new file mode 100644
index 00000000000..8a5cb883fc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_ay.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ay", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(AyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_bgcolor.py
new file mode 100644
index 00000000000..511b3d4e6ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_bordercolor.py
new file mode 100644
index 00000000000..2e6087af1c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_borderpad.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_borderpad.py
new file mode 100644
index 00000000000..4c4e4f8e89e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_borderpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderpad", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(BorderpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_borderwidth.py
new file mode 100644
index 00000000000..55be712d9e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_captureevents.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_captureevents.py
new file mode 100644
index 00000000000..e5389e35534
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_captureevents.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class CaptureeventsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="captureevents",
+        parent_name="layout.scene.annotation",
+        **kwargs
+    ):
+        super(CaptureeventsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_font.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_font.py
new file mode 100644
index 00000000000..8a34e8731f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_height.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_height.py
new file mode 100644
index 00000000000..75f2e9a828a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_height.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="height", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(HeightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_hoverlabel.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_hoverlabel.py
new file mode 100644
index 00000000000..0e73b8b3aab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_hoverlabel.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="hoverlabel", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the background color of the hover label.
+                By default uses the annotation's `bgcolor` made
+                opaque, or white if it was transparent.
+            bordercolor
+                Sets the border color of the hover label. By
+                default uses either dark grey or white, for
+                maximum contrast with `hoverlabel.bgcolor`.
+            font
+                Sets the hover label text font. By default uses
+                the global hover font and size, with color from
+                `hoverlabel.bordercolor`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_hovertext.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_hovertext.py
new file mode 100644
index 00000000000..d93f48588d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_hovertext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertext", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_name.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_name.py
new file mode 100644
index 00000000000..4604f3e8f91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_opacity.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_opacity.py
new file mode 100644
index 00000000000..d2320dba483
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_showarrow.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_showarrow.py
new file mode 100644
index 00000000000..4b713394ef0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_showarrow.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowarrowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showarrow", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ShowarrowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_standoff.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_standoff.py
new file mode 100644
index 00000000000..77b5c5ca9c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_standoff.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="standoff", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(StandoffValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_startarrowhead.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_startarrowhead.py
new file mode 100644
index 00000000000..a0708909307
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_startarrowhead.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class StartarrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="startarrowhead",
+        parent_name="layout.scene.annotation",
+        **kwargs
+    ):
+        super(StartarrowheadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 8),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_startarrowsize.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_startarrowsize.py
new file mode 100644
index 00000000000..3bbe58059b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_startarrowsize.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class StartarrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="startarrowsize",
+        parent_name="layout.scene.annotation",
+        **kwargs
+    ):
+        super(StartarrowsizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0.3),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_startstandoff.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_startstandoff.py
new file mode 100644
index 00000000000..23e565c60cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_startstandoff.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class StartstandoffValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="startstandoff",
+        parent_name="layout.scene.annotation",
+        **kwargs
+    ):
+        super(StartstandoffValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_templateitemname.py
new file mode 100644
index 00000000000..f0f9331f040
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.scene.annotation",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_text.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_text.py
new file mode 100644
index 00000000000..bf91c0c28af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_textangle.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_textangle.py
new file mode 100644
index 00000000000..26a29b56960
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_textangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="textangle", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(TextangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_valign.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_valign.py
new file mode 100644
index 00000000000..64a044d4d2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_valign.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="valign", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ValignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_visible.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_visible.py
new file mode 100644
index 00000000000..078b08361a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_width.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_width.py
new file mode 100644
index 00000000000..18aade253a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_x.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_x.py
new file mode 100644
index 00000000000..42211d65188
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_xanchor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_xanchor.py
new file mode 100644
index 00000000000..1315ef238b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_xshift.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_xshift.py
new file mode 100644
index 00000000000..e8437c728ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_xshift.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XshiftValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xshift", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(XshiftValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_y.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_y.py
new file mode 100644
index 00000000000..87ae250b25d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_yanchor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_yanchor.py
new file mode 100644
index 00000000000..9d4a89a5554
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_yshift.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_yshift.py
new file mode 100644
index 00000000000..78513a3919f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_yshift.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YshiftValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="yshift", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(YshiftValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/_z.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/_z.py
new file mode 100644
index 00000000000..e75ad9e069d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="layout.scene.annotation", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/font/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/__init__.py
index dff38b559dd..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/annotation/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.annotation.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.scene.annotation.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.annotation.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_color.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_color.py
new file mode 100644
index 00000000000..94525a17546
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.annotation.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_family.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_family.py
new file mode 100644
index 00000000000..cd8c5a62ecc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.scene.annotation.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_size.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_size.py
new file mode 100644
index 00000000000..2adf65ee587
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.annotation.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/__init__.py
index 9235a15215d..3ab9188d96d 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/__init__.py
@@ -1,80 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="layout.scene.annotation.hoverlabel",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="layout.scene.annotation.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="layout.scene.annotation.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._font import FontValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._font.FontValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..a54b38507c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="layout.scene.annotation.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..d9b9299c7f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="layout.scene.annotation.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_font.py
new file mode 100644
index 00000000000..218ab77f2a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="layout.scene.annotation.hoverlabel",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/__init__.py
index b99c2269eef..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.scene.annotation.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.scene.annotation.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.scene.annotation.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..b740fc67490
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.scene.annotation.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..00bfbe40eb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.scene.annotation.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..1c705458092
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/annotation/hoverlabel/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.scene.annotation.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/aspectratio/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/__init__.py
index 4613fa56c5a..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/aspectratio/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/__init__.py
@@ -1,52 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="layout.scene.aspectratio", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^aspectmode": "manual"}),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="layout.scene.aspectratio", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^aspectmode": "manual"}),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="layout.scene.aspectratio", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"^aspectmode": "manual"}),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_x.py b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_x.py
new file mode 100644
index 00000000000..e27415a6883
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="layout.scene.aspectratio", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^aspectmode": "manual"}),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_y.py b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_y.py
new file mode 100644
index 00000000000..def8213db31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="layout.scene.aspectratio", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^aspectmode": "manual"}),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_z.py b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_z.py
new file mode 100644
index 00000000000..31b812274fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/aspectratio/_z.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="layout.scene.aspectratio", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"^aspectmode": "manual"}),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/camera/__init__.py
index 391109a3d51..60c22a58546 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/camera/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/__init__.py
@@ -1,96 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class UpValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="up", parent_name="layout.scene.camera", **kwargs):
-        super(UpValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Up"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-
-            y
-
-            z
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ProjectionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="projection", parent_name="layout.scene.camera", **kwargs
-    ):
-        super(ProjectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Projection"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            type
-                Sets the projection type. The projection type
-                could be either "perspective" or
-                "orthographic". The default is "perspective".
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EyeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="eye", parent_name="layout.scene.camera", **kwargs):
-        super(EyeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Eye"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-
-            y
-
-            z
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="center", parent_name="layout.scene.camera", **kwargs
-    ):
-        super(CenterValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Center"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-
-            y
-
-            z
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._up import UpValidator
+    from ._projection import ProjectionValidator
+    from ._eye import EyeValidator
+    from ._center import CenterValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._up.UpValidator",
+            "._projection.ProjectionValidator",
+            "._eye.EyeValidator",
+            "._center.CenterValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/_center.py b/packages/python/plotly/plotly/validators/layout/scene/camera/_center.py
new file mode 100644
index 00000000000..2eedfa4fd1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/_center.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="center", parent_name="layout.scene.camera", **kwargs
+    ):
+        super(CenterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Center"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+
+            y
+
+            z
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/_eye.py b/packages/python/plotly/plotly/validators/layout/scene/camera/_eye.py
new file mode 100644
index 00000000000..881116c4193
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/_eye.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class EyeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="eye", parent_name="layout.scene.camera", **kwargs):
+        super(EyeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Eye"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+
+            y
+
+            z
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/_projection.py b/packages/python/plotly/plotly/validators/layout/scene/camera/_projection.py
new file mode 100644
index 00000000000..a926053732c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/_projection.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class ProjectionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="projection", parent_name="layout.scene.camera", **kwargs
+    ):
+        super(ProjectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Projection"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            type
+                Sets the projection type. The projection type
+                could be either "perspective" or
+                "orthographic". The default is "perspective".
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/_up.py b/packages/python/plotly/plotly/validators/layout/scene/camera/_up.py
new file mode 100644
index 00000000000..90805189936
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/_up.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class UpValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="up", parent_name="layout.scene.camera", **kwargs):
+        super(UpValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Up"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+
+            y
+
+            z
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/center/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/camera/center/__init__.py
index 5df5a81a121..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/camera/center/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/center/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="layout.scene.camera.center", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="layout.scene.camera.center", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="layout.scene.camera.center", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/center/_x.py b/packages/python/plotly/plotly/validators/layout/scene/camera/center/_x.py
new file mode 100644
index 00000000000..15de27ef3d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/center/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="layout.scene.camera.center", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/center/_y.py b/packages/python/plotly/plotly/validators/layout/scene/camera/center/_y.py
new file mode 100644
index 00000000000..f6556c15252
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/center/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="layout.scene.camera.center", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/center/_z.py b/packages/python/plotly/plotly/validators/layout/scene/camera/center/_z.py
new file mode 100644
index 00000000000..bf5d069f36f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/center/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="layout.scene.camera.center", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/eye/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/__init__.py
index 5d96506b95f..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/camera/eye/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="layout.scene.camera.eye", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="layout.scene.camera.eye", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="layout.scene.camera.eye", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_x.py b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_x.py
new file mode 100644
index 00000000000..a305e9e3ddc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="layout.scene.camera.eye", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_y.py b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_y.py
new file mode 100644
index 00000000000..6eea7610190
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="layout.scene.camera.eye", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_z.py b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_z.py
new file mode 100644
index 00000000000..902421d13a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/eye/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="layout.scene.camera.eye", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/projection/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/camera/projection/__init__.py
index 6ec9cee5825..57955f24d41 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/camera/projection/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/projection/__init__.py
@@ -1,15 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._type import TypeValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="layout.scene.camera.projection", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["perspective", "orthographic"]),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._type.TypeValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/projection/_type.py b/packages/python/plotly/plotly/validators/layout/scene/camera/projection/_type.py
new file mode 100644
index 00000000000..6ec9cee5825
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/projection/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="layout.scene.camera.projection", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["perspective", "orthographic"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/up/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/camera/up/__init__.py
index 05c3b4bd865..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/camera/up/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/up/__init__.py
@@ -1,40 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="z", parent_name="layout.scene.camera.up", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.scene.camera.up", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.scene.camera.up", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "camera"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/up/_x.py b/packages/python/plotly/plotly/validators/layout/scene/camera/up/_x.py
new file mode 100644
index 00000000000..5a5b79998ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/up/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.scene.camera.up", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/up/_y.py b/packages/python/plotly/plotly/validators/layout/scene/camera/up/_y.py
new file mode 100644
index 00000000000..90ea8a39a4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/up/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.scene.camera.up", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/camera/up/_z.py b/packages/python/plotly/plotly/validators/layout/scene/camera/up/_z.py
new file mode 100644
index 00000000000..79d8767d06e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/camera/up/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="z", parent_name="layout.scene.camera.up", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "camera"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/domain/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/domain/__init__.py
index 1a750c6a8f1..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/domain/__init__.py
@@ -1,72 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.scene.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.scene.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="layout.scene.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="column", parent_name="layout.scene.domain", **kwargs
-    ):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/domain/_column.py b/packages/python/plotly/plotly/validators/layout/scene/domain/_column.py
new file mode 100644
index 00000000000..d644e3ed1fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/domain/_column.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="column", parent_name="layout.scene.domain", **kwargs
+    ):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/domain/_row.py b/packages/python/plotly/plotly/validators/layout/scene/domain/_row.py
new file mode 100644
index 00000000000..d6c75d72fb3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="layout.scene.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/domain/_x.py b/packages/python/plotly/plotly/validators/layout/scene/domain/_x.py
new file mode 100644
index 00000000000..2fea157b395
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.scene.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/domain/_y.py b/packages/python/plotly/plotly/validators/layout/scene/domain/_y.py
new file mode 100644
index 00000000000..a41a979913c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.scene.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/__init__.py
index bd8b14658de..6c1f783082c 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/xaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/__init__.py
@@ -1,1013 +1,120 @@
-import _plotly_utils.basevalidators
-
-
-class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="zerolinewidth", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ZerolinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="zerolinecolor", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ZerolinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="zeroline", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ZerolineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.scene.xaxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout.scene.xaxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="layout.scene.xaxis", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.scene.xaxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.scene.xaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="spikethickness", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(SpikethicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikesidesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="spikesides", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(SpikesidesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="spikecolor", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(SpikecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showspikes", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowspikesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowbackgroundValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showbackground", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowbackgroundValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowaxeslabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showaxeslabels", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ShowaxeslabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.scene.xaxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="rangemode", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.scene.xaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="mirror", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(MirrorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.scene.xaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.scene.xaxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="calendar", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BackgroundcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="backgroundcolor", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(BackgroundcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="autorange", parent_name="layout.scene.xaxis", **kwargs
-    ):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zerolinewidth import ZerolinewidthValidator
+    from ._zerolinecolor import ZerolinecolorValidator
+    from ._zeroline import ZerolineValidator
+    from ._visible import VisibleValidator
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._spikethickness import SpikethicknessValidator
+    from ._spikesides import SpikesidesValidator
+    from ._spikecolor import SpikecolorValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showspikes import ShowspikesValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._showbackground import ShowbackgroundValidator
+    from ._showaxeslabels import ShowaxeslabelsValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._mirror import MirrorValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._calendar import CalendarValidator
+    from ._backgroundcolor import BackgroundcolorValidator
+    from ._autorange import AutorangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zerolinewidth.ZerolinewidthValidator",
+            "._zerolinecolor.ZerolinecolorValidator",
+            "._zeroline.ZerolineValidator",
+            "._visible.VisibleValidator",
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._spikethickness.SpikethicknessValidator",
+            "._spikesides.SpikesidesValidator",
+            "._spikecolor.SpikecolorValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showspikes.ShowspikesValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._showbackground.ShowbackgroundValidator",
+            "._showaxeslabels.ShowaxeslabelsValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rangemode.RangemodeValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._mirror.MirrorValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._calendar.CalendarValidator",
+            "._backgroundcolor.BackgroundcolorValidator",
+            "._autorange.AutorangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_autorange.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_autorange.py
new file mode 100644
index 00000000000..da002cb8035
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_autorange.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="autorange", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_backgroundcolor.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_backgroundcolor.py
new file mode 100644
index 00000000000..86805110082
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_backgroundcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BackgroundcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="backgroundcolor", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(BackgroundcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_calendar.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_calendar.py
new file mode 100644
index 00000000000..e355a75e121
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_calendar.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="calendar", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryarray.py
new file mode 100644
index 00000000000..bfc7bdaa078
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..d9c8c97e22c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryorder.py
new file mode 100644
index 00000000000..8c3bd79a641
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_categoryorder.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_color.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_color.py
new file mode 100644
index 00000000000..502b9e8be22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.scene.xaxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_dtick.py
new file mode 100644
index 00000000000..ed7cbcd2f64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.scene.xaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_exponentformat.py
new file mode 100644
index 00000000000..bdc2cab6cf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_gridcolor.py
new file mode 100644
index 00000000000..876fab72346
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_gridwidth.py
new file mode 100644
index 00000000000..a61a9c21801
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_hoverformat.py
new file mode 100644
index 00000000000..52c656ffec0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linecolor.py
new file mode 100644
index 00000000000..ecf004af6ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linewidth.py
new file mode 100644
index 00000000000..7db2b8a3083
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_mirror.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_mirror.py
new file mode 100644
index 00000000000..5c4269f7b8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_mirror.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="mirror", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(MirrorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_nticks.py
new file mode 100644
index 00000000000..e944224b634
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_range.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_range.py
new file mode 100644
index 00000000000..b223a06aa3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_range.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.scene.xaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_rangemode.py
new file mode 100644
index 00000000000..c6d159d12be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_rangemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="rangemode", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_separatethousands.py
new file mode 100644
index 00000000000..5f1f1ea0273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.scene.xaxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showaxeslabels.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showaxeslabels.py
new file mode 100644
index 00000000000..bbdedb8ca31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showaxeslabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowaxeslabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showaxeslabels", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowaxeslabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showbackground.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showbackground.py
new file mode 100644
index 00000000000..b4d02ed9154
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showbackground.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowbackgroundValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showbackground", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowbackgroundValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showexponent.py
new file mode 100644
index 00000000000..ec7476490e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showgrid.py
new file mode 100644
index 00000000000..0db2ed95ff7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showline.py
new file mode 100644
index 00000000000..48e427cc30b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showspikes.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showspikes.py
new file mode 100644
index 00000000000..b78aacfd510
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showspikes.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showspikes", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowspikesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showticklabels.py
new file mode 100644
index 00000000000..a855ffdc372
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showtickprefix.py
new file mode 100644
index 00000000000..0419b00d42c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showticksuffix.py
new file mode 100644
index 00000000000..7f4d8a9c093
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikecolor.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikecolor.py
new file mode 100644
index 00000000000..c231a324a3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="spikecolor", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(SpikecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikesides.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikesides.py
new file mode 100644
index 00000000000..c8eaa89c9dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikesides.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikesidesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="spikesides", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(SpikesidesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikethickness.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikethickness.py
new file mode 100644
index 00000000000..36aa0d82b33
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_spikethickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="spikethickness", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(SpikethicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tick0.py
new file mode 100644
index 00000000000..fcc03c179a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.scene.xaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickangle.py
new file mode 100644
index 00000000000..0b0f08b9685
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickcolor.py
new file mode 100644
index 00000000000..adff797319e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickfont.py
new file mode 100644
index 00000000000..72c46b25a2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformat.py
new file mode 100644
index 00000000000..903b63eb0ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..edd302e2a27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.scene.xaxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformatstops.py
new file mode 100644
index 00000000000..84ca36ab481
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticklen.py
new file mode 100644
index 00000000000..10b3087d8f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickmode.py
new file mode 100644
index 00000000000..64e492c2e12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickprefix.py
new file mode 100644
index 00000000000..cf8ef68d8fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticks.py
new file mode 100644
index 00000000000..fea57fec7f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="layout.scene.xaxis", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticksuffix.py
new file mode 100644
index 00000000000..95263541caf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticktext.py
new file mode 100644
index 00000000000..b37cc326a23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..bc9554ce273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickvals.py
new file mode 100644
index 00000000000..08e61f99afe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..0eb5a84597f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickwidth.py
new file mode 100644
index 00000000000..88295189f9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_title.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_title.py
new file mode 100644
index 00000000000..4186e52fb3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_title.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout.scene.xaxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_type.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_type.py
new file mode 100644
index 00000000000..c65d6ed4677
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.scene.xaxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_visible.py
new file mode 100644
index 00000000000..116f59cf4e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zeroline.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zeroline.py
new file mode 100644
index 00000000000..142f21e0c5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zeroline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="zeroline", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ZerolineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zerolinecolor.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zerolinecolor.py
new file mode 100644
index 00000000000..34af021c07c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zerolinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="zerolinecolor", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ZerolinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zerolinewidth.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zerolinewidth.py
new file mode 100644
index 00000000000..69ae36a3c2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/_zerolinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="zerolinewidth", parent_name="layout.scene.xaxis", **kwargs
+    ):
+        super(ZerolinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/__init__.py
index 20a92be5837..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.xaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.scene.xaxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.xaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_color.py
new file mode 100644
index 00000000000..fad3a93f14d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.xaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_family.py
new file mode 100644
index 00000000000..76b9e193e0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.scene.xaxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_size.py
new file mode 100644
index 00000000000..638bc0eedd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.xaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/__init__.py
index 447caaf3ed9..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.scene.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.scene.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.scene.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.scene.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.scene.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..dfc8d2952f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.scene.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..13a5aed5dff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.scene.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..c3b1cee6955
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.scene.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..5f263fd0a9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.scene.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..29513672887
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.scene.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/__init__.py
index 58120c03209..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.scene.xaxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.scene.xaxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/_font.py
new file mode 100644
index 00000000000..22ebf772d0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.scene.xaxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/_text.py
new file mode 100644
index 00000000000..33e9ad0a2b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.scene.xaxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/__init__.py
index 11fb2e097c3..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.xaxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.scene.xaxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.xaxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_color.py
new file mode 100644
index 00000000000..4c2a1afee4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.xaxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_family.py
new file mode 100644
index 00000000000..7c8007d5668
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.scene.xaxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_size.py
new file mode 100644
index 00000000000..d2d8adf3e14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/xaxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.xaxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/__init__.py
index c592ea4b257..6c1f783082c 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/yaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/__init__.py
@@ -1,1013 +1,120 @@
-import _plotly_utils.basevalidators
-
-
-class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="zerolinewidth", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ZerolinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="zerolinecolor", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ZerolinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="zeroline", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ZerolineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.scene.yaxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout.scene.yaxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="layout.scene.yaxis", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.scene.yaxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.scene.yaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="spikethickness", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(SpikethicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikesidesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="spikesides", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(SpikesidesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="spikecolor", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(SpikecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showspikes", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowspikesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowbackgroundValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showbackground", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowbackgroundValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowaxeslabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showaxeslabels", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ShowaxeslabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.scene.yaxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="rangemode", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.scene.yaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="mirror", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(MirrorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.scene.yaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.scene.yaxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="calendar", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BackgroundcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="backgroundcolor", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(BackgroundcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="autorange", parent_name="layout.scene.yaxis", **kwargs
-    ):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zerolinewidth import ZerolinewidthValidator
+    from ._zerolinecolor import ZerolinecolorValidator
+    from ._zeroline import ZerolineValidator
+    from ._visible import VisibleValidator
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._spikethickness import SpikethicknessValidator
+    from ._spikesides import SpikesidesValidator
+    from ._spikecolor import SpikecolorValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showspikes import ShowspikesValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._showbackground import ShowbackgroundValidator
+    from ._showaxeslabels import ShowaxeslabelsValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._mirror import MirrorValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._calendar import CalendarValidator
+    from ._backgroundcolor import BackgroundcolorValidator
+    from ._autorange import AutorangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zerolinewidth.ZerolinewidthValidator",
+            "._zerolinecolor.ZerolinecolorValidator",
+            "._zeroline.ZerolineValidator",
+            "._visible.VisibleValidator",
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._spikethickness.SpikethicknessValidator",
+            "._spikesides.SpikesidesValidator",
+            "._spikecolor.SpikecolorValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showspikes.ShowspikesValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._showbackground.ShowbackgroundValidator",
+            "._showaxeslabels.ShowaxeslabelsValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rangemode.RangemodeValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._mirror.MirrorValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._calendar.CalendarValidator",
+            "._backgroundcolor.BackgroundcolorValidator",
+            "._autorange.AutorangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_autorange.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_autorange.py
new file mode 100644
index 00000000000..cab29f40540
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_autorange.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="autorange", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_backgroundcolor.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_backgroundcolor.py
new file mode 100644
index 00000000000..321cf4e4995
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_backgroundcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BackgroundcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="backgroundcolor", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(BackgroundcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_calendar.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_calendar.py
new file mode 100644
index 00000000000..f2fc1d7d61d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_calendar.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="calendar", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryarray.py
new file mode 100644
index 00000000000..2ced199e2f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..d8b935d65c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryorder.py
new file mode 100644
index 00000000000..f402f76100d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_categoryorder.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_color.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_color.py
new file mode 100644
index 00000000000..2c3ea608e5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.scene.yaxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_dtick.py
new file mode 100644
index 00000000000..37c9c3a3ba1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.scene.yaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_exponentformat.py
new file mode 100644
index 00000000000..14f5672c6a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_gridcolor.py
new file mode 100644
index 00000000000..caab1c789d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_gridwidth.py
new file mode 100644
index 00000000000..8d319872987
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_hoverformat.py
new file mode 100644
index 00000000000..1e065c779bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_linecolor.py
new file mode 100644
index 00000000000..a08a2df324a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_linewidth.py
new file mode 100644
index 00000000000..c8af55b77f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_mirror.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_mirror.py
new file mode 100644
index 00000000000..c41e3669578
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_mirror.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="mirror", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(MirrorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_nticks.py
new file mode 100644
index 00000000000..1878094f882
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_range.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_range.py
new file mode 100644
index 00000000000..6fbf1b93b65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_range.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.scene.yaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_rangemode.py
new file mode 100644
index 00000000000..6268f7dbebe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_rangemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="rangemode", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_separatethousands.py
new file mode 100644
index 00000000000..6678ebc08c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.scene.yaxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showaxeslabels.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showaxeslabels.py
new file mode 100644
index 00000000000..906fe18d21d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showaxeslabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowaxeslabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showaxeslabels", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowaxeslabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showbackground.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showbackground.py
new file mode 100644
index 00000000000..61b8a15ec19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showbackground.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowbackgroundValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showbackground", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowbackgroundValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showexponent.py
new file mode 100644
index 00000000000..8561a85882a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showgrid.py
new file mode 100644
index 00000000000..b3bf5c0eee6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showline.py
new file mode 100644
index 00000000000..b6e8f3428b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showspikes.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showspikes.py
new file mode 100644
index 00000000000..aa2e8c97b05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showspikes.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showspikes", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowspikesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showticklabels.py
new file mode 100644
index 00000000000..52be8d88015
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showtickprefix.py
new file mode 100644
index 00000000000..61027a192f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showticksuffix.py
new file mode 100644
index 00000000000..9a71a15edb2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikecolor.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikecolor.py
new file mode 100644
index 00000000000..6f4702e16f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="spikecolor", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(SpikecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikesides.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikesides.py
new file mode 100644
index 00000000000..091dc874128
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikesides.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikesidesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="spikesides", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(SpikesidesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikethickness.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikethickness.py
new file mode 100644
index 00000000000..27f128bf3a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_spikethickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="spikethickness", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(SpikethicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tick0.py
new file mode 100644
index 00000000000..e8e5c0dde22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.scene.yaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickangle.py
new file mode 100644
index 00000000000..633d14155ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickcolor.py
new file mode 100644
index 00000000000..44fc16bb922
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickfont.py
new file mode 100644
index 00000000000..e6dd545381b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformat.py
new file mode 100644
index 00000000000..129a24f87a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..c35b7377f4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.scene.yaxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformatstops.py
new file mode 100644
index 00000000000..04ac6fc1c6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticklen.py
new file mode 100644
index 00000000000..5034f839bd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickmode.py
new file mode 100644
index 00000000000..788d6168964
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickprefix.py
new file mode 100644
index 00000000000..d15d8657e89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticks.py
new file mode 100644
index 00000000000..ab4cafbea59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="layout.scene.yaxis", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticksuffix.py
new file mode 100644
index 00000000000..f45d3ee25ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticktext.py
new file mode 100644
index 00000000000..7de279498cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..fbfb7f2fd39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickvals.py
new file mode 100644
index 00000000000..a7baaf6ad5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..94d703a11e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickwidth.py
new file mode 100644
index 00000000000..ae198e44fbb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_title.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_title.py
new file mode 100644
index 00000000000..812844c9c60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_title.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout.scene.yaxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_type.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_type.py
new file mode 100644
index 00000000000..6a2b0256e81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.scene.yaxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_visible.py
new file mode 100644
index 00000000000..e4a42bb6ce4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zeroline.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zeroline.py
new file mode 100644
index 00000000000..3a0d19ff73c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zeroline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="zeroline", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ZerolineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zerolinecolor.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zerolinecolor.py
new file mode 100644
index 00000000000..d0e6cc93996
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zerolinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="zerolinecolor", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ZerolinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zerolinewidth.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zerolinewidth.py
new file mode 100644
index 00000000000..f923edc8e5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/_zerolinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="zerolinewidth", parent_name="layout.scene.yaxis", **kwargs
+    ):
+        super(ZerolinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/__init__.py
index 64d4ce093f6..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.yaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.scene.yaxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.yaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_color.py
new file mode 100644
index 00000000000..c47a34fef7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.yaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_family.py
new file mode 100644
index 00000000000..fa99bc7a58e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.scene.yaxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_size.py
new file mode 100644
index 00000000000..99ed9bf6bcb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.yaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/__init__.py
index 954787f5cba..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.scene.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.scene.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.scene.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.scene.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.scene.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..3588faf2d83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.scene.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..1ad5533d23d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.scene.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..a89893db995
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.scene.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..201b6cd019c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.scene.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..07dea218062
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.scene.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/__init__.py
index 6b9285c8c85..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.scene.yaxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.scene.yaxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/_font.py
new file mode 100644
index 00000000000..db6bfd24491
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.scene.yaxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/_text.py
new file mode 100644
index 00000000000..db547f6b3f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.scene.yaxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/__init__.py
index af6859c151a..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.yaxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.scene.yaxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.yaxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_color.py
new file mode 100644
index 00000000000..bbc34e0a370
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.yaxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_family.py
new file mode 100644
index 00000000000..41d2d205142
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.scene.yaxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_size.py
new file mode 100644
index 00000000000..ba282f87cc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.yaxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/__init__.py
index 805d659428e..6c1f783082c 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/zaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/__init__.py
@@ -1,1013 +1,120 @@
-import _plotly_utils.basevalidators
-
-
-class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="zerolinewidth", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ZerolinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="zerolinecolor", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ZerolinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="zeroline", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ZerolineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.scene.zaxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout.scene.zaxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="layout.scene.zaxis", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.scene.zaxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.scene.zaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="spikethickness", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(SpikethicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikesidesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="spikesides", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(SpikesidesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="spikecolor", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(SpikecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showspikes", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowspikesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowbackgroundValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showbackground", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowbackgroundValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowaxeslabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showaxeslabels", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ShowaxeslabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.scene.zaxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="rangemode", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.scene.zaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "plot",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="mirror", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(MirrorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.scene.zaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.scene.zaxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="calendar", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BackgroundcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="backgroundcolor", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(BackgroundcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="autorange", parent_name="layout.scene.zaxis", **kwargs
-    ):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zerolinewidth import ZerolinewidthValidator
+    from ._zerolinecolor import ZerolinecolorValidator
+    from ._zeroline import ZerolineValidator
+    from ._visible import VisibleValidator
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._spikethickness import SpikethicknessValidator
+    from ._spikesides import SpikesidesValidator
+    from ._spikecolor import SpikecolorValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showspikes import ShowspikesValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._showbackground import ShowbackgroundValidator
+    from ._showaxeslabels import ShowaxeslabelsValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+    from ._nticks import NticksValidator
+    from ._mirror import MirrorValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._calendar import CalendarValidator
+    from ._backgroundcolor import BackgroundcolorValidator
+    from ._autorange import AutorangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zerolinewidth.ZerolinewidthValidator",
+            "._zerolinecolor.ZerolinecolorValidator",
+            "._zeroline.ZerolineValidator",
+            "._visible.VisibleValidator",
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._spikethickness.SpikethicknessValidator",
+            "._spikesides.SpikesidesValidator",
+            "._spikecolor.SpikecolorValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showspikes.ShowspikesValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._showbackground.ShowbackgroundValidator",
+            "._showaxeslabels.ShowaxeslabelsValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._rangemode.RangemodeValidator",
+            "._range.RangeValidator",
+            "._nticks.NticksValidator",
+            "._mirror.MirrorValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._calendar.CalendarValidator",
+            "._backgroundcolor.BackgroundcolorValidator",
+            "._autorange.AutorangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_autorange.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_autorange.py
new file mode 100644
index 00000000000..838cb921071
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_autorange.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="autorange", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_backgroundcolor.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_backgroundcolor.py
new file mode 100644
index 00000000000..7b3c72e2f59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_backgroundcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BackgroundcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="backgroundcolor", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(BackgroundcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_calendar.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_calendar.py
new file mode 100644
index 00000000000..5a28c837408
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_calendar.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="calendar", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryarray.py
new file mode 100644
index 00000000000..f091ad1fc25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..a11192fa845
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryorder.py
new file mode 100644
index 00000000000..136dae55173
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_categoryorder.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_color.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_color.py
new file mode 100644
index 00000000000..a655b8c3c98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.scene.zaxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_dtick.py
new file mode 100644
index 00000000000..f456a7bf5e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.scene.zaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_exponentformat.py
new file mode 100644
index 00000000000..5b4669a018b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_gridcolor.py
new file mode 100644
index 00000000000..0941bdcb6da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_gridwidth.py
new file mode 100644
index 00000000000..da37cc464a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_hoverformat.py
new file mode 100644
index 00000000000..582c6072e77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_linecolor.py
new file mode 100644
index 00000000000..1d38fd5bb99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_linewidth.py
new file mode 100644
index 00000000000..14f38765bad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_mirror.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_mirror.py
new file mode 100644
index 00000000000..9ee03e6d778
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_mirror.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="mirror", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(MirrorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_nticks.py
new file mode 100644
index 00000000000..7538b0e6121
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_range.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_range.py
new file mode 100644
index 00000000000..81c4b6bd791
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_range.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.scene.zaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "plot",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_rangemode.py
new file mode 100644
index 00000000000..58f65fd4b14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_rangemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="rangemode", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_separatethousands.py
new file mode 100644
index 00000000000..d8cf84b78d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.scene.zaxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showaxeslabels.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showaxeslabels.py
new file mode 100644
index 00000000000..64cbf74b3e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showaxeslabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowaxeslabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showaxeslabels", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowaxeslabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showbackground.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showbackground.py
new file mode 100644
index 00000000000..2b5271927e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showbackground.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowbackgroundValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showbackground", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowbackgroundValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showexponent.py
new file mode 100644
index 00000000000..dbdbcc49f3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showgrid.py
new file mode 100644
index 00000000000..de357fb775e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showline.py
new file mode 100644
index 00000000000..77bed435f97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showspikes.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showspikes.py
new file mode 100644
index 00000000000..2220f520c7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showspikes.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showspikes", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowspikesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showticklabels.py
new file mode 100644
index 00000000000..94968a0b451
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showtickprefix.py
new file mode 100644
index 00000000000..b9178c3fafa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showticksuffix.py
new file mode 100644
index 00000000000..43cf57b850b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikecolor.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikecolor.py
new file mode 100644
index 00000000000..921fdeef7b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="spikecolor", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(SpikecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikesides.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikesides.py
new file mode 100644
index 00000000000..0e665197496
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikesides.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikesidesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="spikesides", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(SpikesidesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikethickness.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikethickness.py
new file mode 100644
index 00000000000..f0142f37f1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_spikethickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="spikethickness", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(SpikethicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tick0.py
new file mode 100644
index 00000000000..a67b54b5a49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.scene.zaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickangle.py
new file mode 100644
index 00000000000..20f5507b82d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickcolor.py
new file mode 100644
index 00000000000..1e979659a0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickfont.py
new file mode 100644
index 00000000000..9f6097582c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformat.py
new file mode 100644
index 00000000000..b3d766fe09d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..4c05f12affd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.scene.zaxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformatstops.py
new file mode 100644
index 00000000000..0c1caf88175
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticklen.py
new file mode 100644
index 00000000000..af106a3556d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickmode.py
new file mode 100644
index 00000000000..4fd10eac559
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickprefix.py
new file mode 100644
index 00000000000..8217004aba5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticks.py
new file mode 100644
index 00000000000..67c4dc6f901
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="layout.scene.zaxis", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticksuffix.py
new file mode 100644
index 00000000000..8aec099fc93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticktext.py
new file mode 100644
index 00000000000..afc61236c51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..00178ba4bc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickvals.py
new file mode 100644
index 00000000000..da7499a991a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..052bba5ce54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickwidth.py
new file mode 100644
index 00000000000..78f0faff0d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_title.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_title.py
new file mode 100644
index 00000000000..764d5bdce5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_title.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout.scene.zaxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_type.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_type.py
new file mode 100644
index 00000000000..b9fe19453f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.scene.zaxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["-", "linear", "log", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_visible.py
new file mode 100644
index 00000000000..1c0bd94b9e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zeroline.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zeroline.py
new file mode 100644
index 00000000000..74f5cf4d78d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zeroline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="zeroline", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ZerolineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zerolinecolor.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zerolinecolor.py
new file mode 100644
index 00000000000..dd565ebdf3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zerolinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="zerolinecolor", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ZerolinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zerolinewidth.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zerolinewidth.py
new file mode 100644
index 00000000000..89a01860159
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/_zerolinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="zerolinewidth", parent_name="layout.scene.zaxis", **kwargs
+    ):
+        super(ZerolinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/__init__.py
index e547383ea03..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.zaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.scene.zaxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.zaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_color.py
new file mode 100644
index 00000000000..54ca5eeecc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.zaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_family.py
new file mode 100644
index 00000000000..f0b81241126
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.scene.zaxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_size.py
new file mode 100644
index 00000000000..be57e3aba18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.zaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/__init__.py
index 98ffbe006a8..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.scene.zaxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.scene.zaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.scene.zaxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.scene.zaxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.scene.zaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..c9eadde6e6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.scene.zaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a1eb577ae25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.scene.zaxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..4f1301e77ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.scene.zaxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..4cce018f8f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.scene.zaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..e128a8da767
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.scene.zaxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/__init__.py
index d16dc9b22ca..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.scene.zaxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.scene.zaxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/_font.py
new file mode 100644
index 00000000000..6d22e3de07d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.scene.zaxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/_text.py
new file mode 100644
index 00000000000..e5adec406f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.scene.zaxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/__init__.py
index e9217aa6b2f..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.scene.zaxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.scene.zaxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.scene.zaxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_color.py
new file mode 100644
index 00000000000..c9436d63f1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.scene.zaxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_family.py
new file mode 100644
index 00000000000..30d501defd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.scene.zaxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_size.py
new file mode 100644
index 00000000000..1fbed06a090
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.scene.zaxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/__init__.py b/packages/python/plotly/plotly/validators/layout/shape/__init__.py
index f1fac26f713..ba5f731716c 100644
--- a/packages/python/plotly/plotly/validators/layout/shape/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/shape/__init__.py
@@ -1,287 +1,50 @@
-import _plotly_utils.basevalidators
-
-
-class YsizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ysizemode", parent_name="layout.shape", **kwargs):
-        super(YsizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["scaled", "pixel"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yref", parent_name="layout.shape", **kwargs):
-        super(YrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["paper", "/^y([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="layout.shape", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y1Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y1", parent_name="layout.shape", **kwargs):
-        super(Y1Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="layout.shape", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xsizemode", parent_name="layout.shape", **kwargs):
-        super(XsizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["scaled", "pixel"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xref", parent_name="layout.shape", **kwargs):
-        super(XrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["paper", "/^x([2-9]|[1-9][0-9]+)?$/"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="layout.shape", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X1Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x1", parent_name="layout.shape", **kwargs):
-        super(X1Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="layout.shape", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="layout.shape", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.shape", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["circle", "rect", "path", "line"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="layout.shape", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PathValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="path", parent_name="layout.shape", **kwargs):
-        super(PathValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="layout.shape", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.shape", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="layout.shape", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="layer", parent_name="layout.shape", **kwargs):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["below", "above"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="layout.shape", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysizemode import YsizemodeValidator
+    from ._yref import YrefValidator
+    from ._yanchor import YanchorValidator
+    from ._y1 import Y1Validator
+    from ._y0 import Y0Validator
+    from ._xsizemode import XsizemodeValidator
+    from ._xref import XrefValidator
+    from ._xanchor import XanchorValidator
+    from ._x1 import X1Validator
+    from ._x0 import X0Validator
+    from ._visible import VisibleValidator
+    from ._type import TypeValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._path import PathValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._line import LineValidator
+    from ._layer import LayerValidator
+    from ._fillcolor import FillcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysizemode.YsizemodeValidator",
+            "._yref.YrefValidator",
+            "._yanchor.YanchorValidator",
+            "._y1.Y1Validator",
+            "._y0.Y0Validator",
+            "._xsizemode.XsizemodeValidator",
+            "._xref.XrefValidator",
+            "._xanchor.XanchorValidator",
+            "._x1.X1Validator",
+            "._x0.X0Validator",
+            "._visible.VisibleValidator",
+            "._type.TypeValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._path.PathValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._line.LineValidator",
+            "._layer.LayerValidator",
+            "._fillcolor.FillcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_fillcolor.py b/packages/python/plotly/plotly/validators/layout/shape/_fillcolor.py
new file mode 100644
index 00000000000..68c50f5ae32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="layout.shape", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_layer.py b/packages/python/plotly/plotly/validators/layout/shape/_layer.py
new file mode 100644
index 00000000000..2acb4671f7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_layer.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="layer", parent_name="layout.shape", **kwargs):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["below", "above"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_line.py b/packages/python/plotly/plotly/validators/layout/shape/_line.py
new file mode 100644
index 00000000000..a80a087489e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="layout.shape", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_name.py b/packages/python/plotly/plotly/validators/layout/shape/_name.py
new file mode 100644
index 00000000000..367658c7fb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.shape", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_opacity.py b/packages/python/plotly/plotly/validators/layout/shape/_opacity.py
new file mode 100644
index 00000000000..f4190661aa2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="layout.shape", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_path.py b/packages/python/plotly/plotly/validators/layout/shape/_path.py
new file mode 100644
index 00000000000..6f38c4673b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_path.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PathValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="path", parent_name="layout.shape", **kwargs):
+        super(PathValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/shape/_templateitemname.py
new file mode 100644
index 00000000000..9fc3e874bb5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="layout.shape", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_type.py b/packages/python/plotly/plotly/validators/layout/shape/_type.py
new file mode 100644
index 00000000000..db8830c407c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.shape", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["circle", "rect", "path", "line"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_visible.py b/packages/python/plotly/plotly/validators/layout/shape/_visible.py
new file mode 100644
index 00000000000..fdf1dca55d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="layout.shape", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_x0.py b/packages/python/plotly/plotly/validators/layout/shape/_x0.py
new file mode 100644
index 00000000000..aba3bd7bc8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="layout.shape", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_x1.py b/packages/python/plotly/plotly/validators/layout/shape/_x1.py
new file mode 100644
index 00000000000..ddc619ae840
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_x1.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X1Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x1", parent_name="layout.shape", **kwargs):
+        super(X1Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_xanchor.py b/packages/python/plotly/plotly/validators/layout/shape/_xanchor.py
new file mode 100644
index 00000000000..144a3f9fde5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_xanchor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="layout.shape", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_xref.py b/packages/python/plotly/plotly/validators/layout/shape/_xref.py
new file mode 100644
index 00000000000..6a193c15d0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_xref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xref", parent_name="layout.shape", **kwargs):
+        super(XrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["paper", "/^x([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_xsizemode.py b/packages/python/plotly/plotly/validators/layout/shape/_xsizemode.py
new file mode 100644
index 00000000000..29a0542632a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_xsizemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XsizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xsizemode", parent_name="layout.shape", **kwargs):
+        super(XsizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["scaled", "pixel"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_y0.py b/packages/python/plotly/plotly/validators/layout/shape/_y0.py
new file mode 100644
index 00000000000..39e5350b7c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="layout.shape", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_y1.py b/packages/python/plotly/plotly/validators/layout/shape/_y1.py
new file mode 100644
index 00000000000..95d89912c4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_y1.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y1Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y1", parent_name="layout.shape", **kwargs):
+        super(Y1Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_yanchor.py b/packages/python/plotly/plotly/validators/layout/shape/_yanchor.py
new file mode 100644
index 00000000000..f67c6af3ea2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_yanchor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="layout.shape", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_yref.py b/packages/python/plotly/plotly/validators/layout/shape/_yref.py
new file mode 100644
index 00000000000..62ebd4eb4cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_yref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yref", parent_name="layout.shape", **kwargs):
+        super(YrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["paper", "/^y([2-9]|[1-9][0-9]+)?$/"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/_ysizemode.py b/packages/python/plotly/plotly/validators/layout/shape/_ysizemode.py
new file mode 100644
index 00000000000..1eff07cd078
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/_ysizemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YsizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ysizemode", parent_name="layout.shape", **kwargs):
+        super(YsizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["scaled", "pixel"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/line/__init__.py b/packages/python/plotly/plotly/validators/layout/shape/line/__init__.py
index 3839f86dbd5..ac8bd485063 100644
--- a/packages/python/plotly/plotly/validators/layout/shape/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/shape/line/__init__.py
@@ -1,46 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="layout.shape.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="dash", parent_name="layout.shape.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.shape.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._dash.DashValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/line/_color.py b/packages/python/plotly/plotly/validators/layout/shape/line/_color.py
new file mode 100644
index 00000000000..9d0b9a47c0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.shape.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/line/_dash.py b/packages/python/plotly/plotly/validators/layout/shape/line/_dash.py
new file mode 100644
index 00000000000..75492e16a47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="dash", parent_name="layout.shape.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/shape/line/_width.py b/packages/python/plotly/plotly/validators/layout/shape/line/_width.py
new file mode 100644
index 00000000000..79a9feea7e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/shape/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="layout.shape.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/__init__.py
index a29398af7a9..84f2759f017 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/__init__.py
@@ -1,491 +1,60 @@
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="layout.slider", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.slider", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="layout.slider", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.slider", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="layout.slider", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TransitionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="transition", parent_name="layout.slider", **kwargs):
-        super(TransitionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Transition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            duration
-                Sets the duration of the slider transition
-            easing
-                Sets the easing function of the slider
-                transition
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tickwidth", parent_name="layout.slider", **kwargs):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="layout.slider", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="tickcolor", parent_name="layout.slider", **kwargs):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="layout.slider", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StepValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="stepdefaults", parent_name="layout.slider", **kwargs
-    ):
-        super(StepValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Step"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StepsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="steps", parent_name="layout.slider", **kwargs):
-        super(StepsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Step"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            args
-                Sets the arguments values to be passed to the
-                Plotly method set in `method` on slide.
-            execute
-                When true, the API method is executed. When
-                false, all other behaviors are the same and
-                command execution is skipped. This may be
-                useful when hooking into, for example, the
-                `plotly_sliderchange` method and executing the
-                API command manually without losing the benefit
-                of the slider automatically binding to the
-                state of the plot through the specification of
-                `method` and `args`.
-            label
-                Sets the text label to appear on the slider
-            method
-                Sets the Plotly method to be called when the
-                slider value is changed. If the `skip` method
-                is used, the API slider will function as normal
-                but will perform no API calls and will not bind
-                automatically to state updates. This may be
-                used to create a component interface and attach
-                to slider events manually via JavaScript.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                Sets the value of the slider step, used to
-                refer to the step programatically. Defaults to
-                the slider label if not provided.
-            visible
-                Determines whether or not this step is included
-                in the slider.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pad", parent_name="layout.slider", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pad"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            b
-                The amount of padding (in px) along the bottom
-                of the component.
-            l
-                The amount of padding (in px) on the left side
-                of the component.
-            r
-                The amount of padding (in px) on the right side
-                of the component.
-            t
-                The amount of padding (in px) along the top of
-                the component.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.slider", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinorticklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="minorticklen", parent_name="layout.slider", **kwargs
-    ):
-        super(MinorticklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="layout.slider", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="layout.slider", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.slider", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CurrentvalueValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="currentvalue", parent_name="layout.slider", **kwargs
-    ):
-        super(CurrentvalueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Currentvalue"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets the font of the current value label text.
-            offset
-                The amount of space, in pixels, between the
-                current value label and the slider.
-            prefix
-                When currentvalue.visible is true, this sets
-                the prefix of the label.
-            suffix
-                When currentvalue.visible is true, this sets
-                the suffix of the label.
-            visible
-                Shows the currently-selected value above the
-                slider.
-            xanchor
-                The alignment of the value readout relative to
-                the length of the slider.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="layout.slider", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="layout.slider", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.slider", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ActivebgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="activebgcolor", parent_name="layout.slider", **kwargs
-    ):
-        super(ActivebgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ActiveValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="active", parent_name="layout.slider", **kwargs):
-        super(ActiveValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._transition import TransitionValidator
+    from ._tickwidth import TickwidthValidator
+    from ._ticklen import TicklenValidator
+    from ._tickcolor import TickcolorValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._stepdefaults import StepdefaultsValidator
+    from ._steps import StepsValidator
+    from ._pad import PadValidator
+    from ._name import NameValidator
+    from ._minorticklen import MinorticklenValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._font import FontValidator
+    from ._currentvalue import CurrentvalueValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._activebgcolor import ActivebgcolorValidator
+    from ._active import ActiveValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._transition.TransitionValidator",
+            "._tickwidth.TickwidthValidator",
+            "._ticklen.TicklenValidator",
+            "._tickcolor.TickcolorValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._stepdefaults.StepdefaultsValidator",
+            "._steps.StepsValidator",
+            "._pad.PadValidator",
+            "._name.NameValidator",
+            "._minorticklen.MinorticklenValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._font.FontValidator",
+            "._currentvalue.CurrentvalueValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._activebgcolor.ActivebgcolorValidator",
+            "._active.ActiveValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_active.py b/packages/python/plotly/plotly/validators/layout/slider/_active.py
new file mode 100644
index 00000000000..4c61a1b4047
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_active.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ActiveValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="active", parent_name="layout.slider", **kwargs):
+        super(ActiveValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_activebgcolor.py b/packages/python/plotly/plotly/validators/layout/slider/_activebgcolor.py
new file mode 100644
index 00000000000..5bd9b37357c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_activebgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ActivebgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="activebgcolor", parent_name="layout.slider", **kwargs
+    ):
+        super(ActivebgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/slider/_bgcolor.py
new file mode 100644
index 00000000000..79ada74ed82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.slider", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/slider/_bordercolor.py
new file mode 100644
index 00000000000..8a401dea6bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="layout.slider", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/slider/_borderwidth.py
new file mode 100644
index 00000000000..69238d4347f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="layout.slider", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_currentvalue.py b/packages/python/plotly/plotly/validators/layout/slider/_currentvalue.py
new file mode 100644
index 00000000000..0b9df2571c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_currentvalue.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CurrentvalueValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="currentvalue", parent_name="layout.slider", **kwargs
+    ):
+        super(CurrentvalueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Currentvalue"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets the font of the current value label text.
+            offset
+                The amount of space, in pixels, between the
+                current value label and the slider.
+            prefix
+                When currentvalue.visible is true, this sets
+                the prefix of the label.
+            suffix
+                When currentvalue.visible is true, this sets
+                the suffix of the label.
+            visible
+                Shows the currently-selected value above the
+                slider.
+            xanchor
+                The alignment of the value readout relative to
+                the length of the slider.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_font.py b/packages/python/plotly/plotly/validators/layout/slider/_font.py
new file mode 100644
index 00000000000..e8b6e3508cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.slider", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_len.py b/packages/python/plotly/plotly/validators/layout/slider/_len.py
new file mode 100644
index 00000000000..43edebe819c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="layout.slider", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_lenmode.py b/packages/python/plotly/plotly/validators/layout/slider/_lenmode.py
new file mode 100644
index 00000000000..f14cc5e01e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="layout.slider", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_minorticklen.py b/packages/python/plotly/plotly/validators/layout/slider/_minorticklen.py
new file mode 100644
index 00000000000..678f9ec120d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_minorticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MinorticklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="minorticklen", parent_name="layout.slider", **kwargs
+    ):
+        super(MinorticklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_name.py b/packages/python/plotly/plotly/validators/layout/slider/_name.py
new file mode 100644
index 00000000000..866cb8a5875
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.slider", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_pad.py b/packages/python/plotly/plotly/validators/layout/slider/_pad.py
new file mode 100644
index 00000000000..7dd4c6c8a5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_pad.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pad", parent_name="layout.slider", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pad"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            b
+                The amount of padding (in px) along the bottom
+                of the component.
+            l
+                The amount of padding (in px) on the left side
+                of the component.
+            r
+                The amount of padding (in px) on the right side
+                of the component.
+            t
+                The amount of padding (in px) along the top of
+                the component.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_stepdefaults.py b/packages/python/plotly/plotly/validators/layout/slider/_stepdefaults.py
new file mode 100644
index 00000000000..aba3939dcfc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_stepdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class StepdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="stepdefaults", parent_name="layout.slider", **kwargs
+    ):
+        super(StepdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Step"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_steps.py b/packages/python/plotly/plotly/validators/layout/slider/_steps.py
new file mode 100644
index 00000000000..daef8f7ee1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_steps.py
@@ -0,0 +1,67 @@
+import _plotly_utils.basevalidators
+
+
+class StepsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="steps", parent_name="layout.slider", **kwargs):
+        super(StepsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Step"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            args
+                Sets the arguments values to be passed to the
+                Plotly method set in `method` on slide.
+            execute
+                When true, the API method is executed. When
+                false, all other behaviors are the same and
+                command execution is skipped. This may be
+                useful when hooking into, for example, the
+                `plotly_sliderchange` method and executing the
+                API command manually without losing the benefit
+                of the slider automatically binding to the
+                state of the plot through the specification of
+                `method` and `args`.
+            label
+                Sets the text label to appear on the slider
+            method
+                Sets the Plotly method to be called when the
+                slider value is changed. If the `skip` method
+                is used, the API slider will function as normal
+                but will perform no API calls and will not bind
+                automatically to state updates. This may be
+                used to create a component interface and attach
+                to slider events manually via JavaScript.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                Sets the value of the slider step, used to
+                refer to the step programatically. Defaults to
+                the slider label if not provided.
+            visible
+                Determines whether or not this step is included
+                in the slider.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/slider/_templateitemname.py
new file mode 100644
index 00000000000..cce7c662039
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="layout.slider", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/slider/_tickcolor.py
new file mode 100644
index 00000000000..bfddd6312eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_tickcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="tickcolor", parent_name="layout.slider", **kwargs):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_ticklen.py b/packages/python/plotly/plotly/validators/layout/slider/_ticklen.py
new file mode 100644
index 00000000000..e9427d8800c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="layout.slider", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/slider/_tickwidth.py
new file mode 100644
index 00000000000..738cc5361ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_tickwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tickwidth", parent_name="layout.slider", **kwargs):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_transition.py b/packages/python/plotly/plotly/validators/layout/slider/_transition.py
new file mode 100644
index 00000000000..9a766418010
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_transition.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TransitionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="transition", parent_name="layout.slider", **kwargs):
+        super(TransitionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Transition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            duration
+                Sets the duration of the slider transition
+            easing
+                Sets the easing function of the slider
+                transition
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_visible.py b/packages/python/plotly/plotly/validators/layout/slider/_visible.py
new file mode 100644
index 00000000000..f2136abee6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="layout.slider", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_x.py b/packages/python/plotly/plotly/validators/layout/slider/_x.py
new file mode 100644
index 00000000000..e2e370d427f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.slider", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_xanchor.py b/packages/python/plotly/plotly/validators/layout/slider/_xanchor.py
new file mode 100644
index 00000000000..6eb76a88d5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="layout.slider", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_y.py b/packages/python/plotly/plotly/validators/layout/slider/_y.py
new file mode 100644
index 00000000000..151079f7760
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.slider", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/_yanchor.py b/packages/python/plotly/plotly/validators/layout/slider/_yanchor.py
new file mode 100644
index 00000000000..7233d522872
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="layout.slider", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/__init__.py
index bb027dd35b7..12f2f9de394 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/__init__.py
@@ -1,120 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="layout.slider.currentvalue", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.slider.currentvalue", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="suffix", parent_name="layout.slider.currentvalue", **kwargs
-    ):
-        super(SuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="prefix", parent_name="layout.slider.currentvalue", **kwargs
-    ):
-        super(PrefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="offset", parent_name="layout.slider.currentvalue", **kwargs
-    ):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.slider.currentvalue", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._xanchor import XanchorValidator
+    from ._visible import VisibleValidator
+    from ._suffix import SuffixValidator
+    from ._prefix import PrefixValidator
+    from ._offset import OffsetValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._xanchor.XanchorValidator",
+            "._visible.VisibleValidator",
+            "._suffix.SuffixValidator",
+            "._prefix.PrefixValidator",
+            "._offset.OffsetValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_font.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_font.py
new file mode 100644
index 00000000000..bd198c39ede
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.slider.currentvalue", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_offset.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_offset.py
new file mode 100644
index 00000000000..417f728bac7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_offset.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="offset", parent_name="layout.slider.currentvalue", **kwargs
+    ):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_prefix.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_prefix.py
new file mode 100644
index 00000000000..6ef88f195b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_prefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="prefix", parent_name="layout.slider.currentvalue", **kwargs
+    ):
+        super(PrefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_suffix.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_suffix.py
new file mode 100644
index 00000000000..9010a321fde
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_suffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="suffix", parent_name="layout.slider.currentvalue", **kwargs
+    ):
+        super(SuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_visible.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_visible.py
new file mode 100644
index 00000000000..0f269565998
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.slider.currentvalue", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_xanchor.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_xanchor.py
new file mode 100644
index 00000000000..dac65e54e49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="layout.slider.currentvalue", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/__init__.py
index 4cd537016c2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.slider.currentvalue.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.slider.currentvalue.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.slider.currentvalue.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_color.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_color.py
new file mode 100644
index 00000000000..7f3474866a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.slider.currentvalue.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_family.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_family.py
new file mode 100644
index 00000000000..2aba3773504
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.slider.currentvalue.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_size.py b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_size.py
new file mode 100644
index 00000000000..b4b7fb8612e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/currentvalue/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.slider.currentvalue.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/font/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/font/__init__.py
index 2b506384d87..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/font/__init__.py
@@ -1,45 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="layout.slider.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.slider.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.slider.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/font/_color.py b/packages/python/plotly/plotly/validators/layout/slider/font/_color.py
new file mode 100644
index 00000000000..5ca4b13c3aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/font/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.slider.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/font/_family.py b/packages/python/plotly/plotly/validators/layout/slider/font/_family.py
new file mode 100644
index 00000000000..45466c7225e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.slider.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/font/_size.py b/packages/python/plotly/plotly/validators/layout/slider/font/_size.py
new file mode 100644
index 00000000000..55543dfe948
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/font/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="layout.slider.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/pad/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/pad/__init__.py
index 9b8fef83692..7770792ed8c 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/pad/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/pad/__init__.py
@@ -1,54 +1,15 @@
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="t", parent_name="layout.slider.pad", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="r", parent_name="layout.slider.pad", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="l", parent_name="layout.slider.pad", **kwargs):
-        super(LValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="b", parent_name="layout.slider.pad", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._t import TValidator
+    from ._r import RValidator
+    from ._l import LValidator
+    from ._b import BValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._t.TValidator", "._r.RValidator", "._l.LValidator", "._b.BValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/pad/_b.py b/packages/python/plotly/plotly/validators/layout/slider/pad/_b.py
new file mode 100644
index 00000000000..7207b2eb77b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/pad/_b.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="b", parent_name="layout.slider.pad", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/pad/_l.py b/packages/python/plotly/plotly/validators/layout/slider/pad/_l.py
new file mode 100644
index 00000000000..16ee05121a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/pad/_l.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="l", parent_name="layout.slider.pad", **kwargs):
+        super(LValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/pad/_r.py b/packages/python/plotly/plotly/validators/layout/slider/pad/_r.py
new file mode 100644
index 00000000000..5e2b93c8d12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/pad/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="r", parent_name="layout.slider.pad", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/pad/_t.py b/packages/python/plotly/plotly/validators/layout/slider/pad/_t.py
new file mode 100644
index 00000000000..321c9264124
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/pad/_t.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="t", parent_name="layout.slider.pad", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/step/__init__.py
index b3e85dce558..9428b04e474 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/step/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/__init__.py
@@ -1,130 +1,28 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.slider.step", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="value", parent_name="layout.slider.step", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="layout.slider.step", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.slider.step", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MethodValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="method", parent_name="layout.slider.step", **kwargs
-    ):
-        super(MethodValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["restyle", "relayout", "animate", "update", "skip"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="label", parent_name="layout.slider.step", **kwargs):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExecuteValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="execute", parent_name="layout.slider.step", **kwargs
-    ):
-        super(ExecuteValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArgsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="args", parent_name="layout.slider.step", **kwargs):
-        super(ArgsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "arraydraw"},
-                    {"valType": "any", "editType": "arraydraw"},
-                    {"valType": "any", "editType": "arraydraw"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._method import MethodValidator
+    from ._label import LabelValidator
+    from ._execute import ExecuteValidator
+    from ._args import ArgsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._method.MethodValidator",
+            "._label.LabelValidator",
+            "._execute.ExecuteValidator",
+            "._args.ArgsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_args.py b/packages/python/plotly/plotly/validators/layout/slider/step/_args.py
new file mode 100644
index 00000000000..15cfed591fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_args.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class ArgsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="args", parent_name="layout.slider.step", **kwargs):
+        super(ArgsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "arraydraw"},
+                    {"valType": "any", "editType": "arraydraw"},
+                    {"valType": "any", "editType": "arraydraw"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_execute.py b/packages/python/plotly/plotly/validators/layout/slider/step/_execute.py
new file mode 100644
index 00000000000..00edd9397b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_execute.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ExecuteValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="execute", parent_name="layout.slider.step", **kwargs
+    ):
+        super(ExecuteValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_label.py b/packages/python/plotly/plotly/validators/layout/slider/step/_label.py
new file mode 100644
index 00000000000..8e1f07affaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_label.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="label", parent_name="layout.slider.step", **kwargs):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_method.py b/packages/python/plotly/plotly/validators/layout/slider/step/_method.py
new file mode 100644
index 00000000000..4ef179fceba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_method.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class MethodValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="method", parent_name="layout.slider.step", **kwargs
+    ):
+        super(MethodValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["restyle", "relayout", "animate", "update", "skip"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_name.py b/packages/python/plotly/plotly/validators/layout/slider/step/_name.py
new file mode 100644
index 00000000000..2e1f0cf7ebb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.slider.step", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/slider/step/_templateitemname.py
new file mode 100644
index 00000000000..cd7969722e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="layout.slider.step", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_value.py b/packages/python/plotly/plotly/validators/layout/slider/step/_value.py
new file mode 100644
index 00000000000..7bb391d8441
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_value.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="value", parent_name="layout.slider.step", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/step/_visible.py b/packages/python/plotly/plotly/validators/layout/slider/step/_visible.py
new file mode 100644
index 00000000000..1d5a50fc8bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/step/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.slider.step", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/transition/__init__.py b/packages/python/plotly/plotly/validators/layout/slider/transition/__init__.py
index fb3b5865ae3..c119555d72d 100644
--- a/packages/python/plotly/plotly/validators/layout/slider/transition/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/slider/transition/__init__.py
@@ -1,72 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._easing import EasingValidator
+    from ._duration import DurationValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class EasingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="easing", parent_name="layout.slider.transition", **kwargs
-    ):
-        super(EasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "linear",
-                    "quad",
-                    "cubic",
-                    "sin",
-                    "exp",
-                    "circle",
-                    "elastic",
-                    "back",
-                    "bounce",
-                    "linear-in",
-                    "quad-in",
-                    "cubic-in",
-                    "sin-in",
-                    "exp-in",
-                    "circle-in",
-                    "elastic-in",
-                    "back-in",
-                    "bounce-in",
-                    "linear-out",
-                    "quad-out",
-                    "cubic-out",
-                    "sin-out",
-                    "exp-out",
-                    "circle-out",
-                    "elastic-out",
-                    "back-out",
-                    "bounce-out",
-                    "linear-in-out",
-                    "quad-in-out",
-                    "cubic-in-out",
-                    "sin-in-out",
-                    "exp-in-out",
-                    "circle-in-out",
-                    "elastic-in-out",
-                    "back-in-out",
-                    "bounce-in-out",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DurationValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="duration", parent_name="layout.slider.transition", **kwargs
-    ):
-        super(DurationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._easing.EasingValidator", "._duration.DurationValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/transition/_duration.py b/packages/python/plotly/plotly/validators/layout/slider/transition/_duration.py
new file mode 100644
index 00000000000..3e02bfd661d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/transition/_duration.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DurationValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="duration", parent_name="layout.slider.transition", **kwargs
+    ):
+        super(DurationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/slider/transition/_easing.py b/packages/python/plotly/plotly/validators/layout/slider/transition/_easing.py
new file mode 100644
index 00000000000..e6de0b05ea6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/slider/transition/_easing.py
@@ -0,0 +1,55 @@
+import _plotly_utils.basevalidators
+
+
+class EasingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="easing", parent_name="layout.slider.transition", **kwargs
+    ):
+        super(EasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "linear",
+                    "quad",
+                    "cubic",
+                    "sin",
+                    "exp",
+                    "circle",
+                    "elastic",
+                    "back",
+                    "bounce",
+                    "linear-in",
+                    "quad-in",
+                    "cubic-in",
+                    "sin-in",
+                    "exp-in",
+                    "circle-in",
+                    "elastic-in",
+                    "back-in",
+                    "bounce-in",
+                    "linear-out",
+                    "quad-out",
+                    "cubic-out",
+                    "sin-out",
+                    "exp-out",
+                    "circle-out",
+                    "elastic-out",
+                    "back-out",
+                    "bounce-out",
+                    "linear-in-out",
+                    "quad-in-out",
+                    "cubic-in-out",
+                    "sin-in-out",
+                    "exp-in-out",
+                    "circle-in-out",
+                    "elastic-in-out",
+                    "back-in-out",
+                    "bounce-in-out",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/__init__.py b/packages/python/plotly/plotly/validators/layout/template/__init__.py
index ef9803c725f..824c97d00b4 100644
--- a/packages/python/plotly/plotly/validators/layout/template/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/template/__init__.py
@@ -1,207 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._layout import LayoutValidator
+    from ._data import DataValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LayoutValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="layout", parent_name="layout.template", **kwargs):
-        super(LayoutValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Layout"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DataValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="data", parent_name="layout.template", **kwargs):
-        super(DataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Data"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            area
-                A tuple of :class:`plotly.graph_objects.Area`
-                instances or dicts with compatible properties
-            barpolar
-                A tuple of
-                :class:`plotly.graph_objects.Barpolar`
-                instances or dicts with compatible properties
-            bar
-                A tuple of :class:`plotly.graph_objects.Bar`
-                instances or dicts with compatible properties
-            box
-                A tuple of :class:`plotly.graph_objects.Box`
-                instances or dicts with compatible properties
-            candlestick
-                A tuple of
-                :class:`plotly.graph_objects.Candlestick`
-                instances or dicts with compatible properties
-            carpet
-                A tuple of :class:`plotly.graph_objects.Carpet`
-                instances or dicts with compatible properties
-            choroplethmapbox
-                A tuple of
-                :class:`plotly.graph_objects.Choroplethmapbox`
-                instances or dicts with compatible properties
-            choropleth
-                A tuple of
-                :class:`plotly.graph_objects.Choropleth`
-                instances or dicts with compatible properties
-            cone
-                A tuple of :class:`plotly.graph_objects.Cone`
-                instances or dicts with compatible properties
-            contourcarpet
-                A tuple of
-                :class:`plotly.graph_objects.Contourcarpet`
-                instances or dicts with compatible properties
-            contour
-                A tuple of
-                :class:`plotly.graph_objects.Contour` instances
-                or dicts with compatible properties
-            densitymapbox
-                A tuple of
-                :class:`plotly.graph_objects.Densitymapbox`
-                instances or dicts with compatible properties
-            funnelarea
-                A tuple of
-                :class:`plotly.graph_objects.Funnelarea`
-                instances or dicts with compatible properties
-            funnel
-                A tuple of :class:`plotly.graph_objects.Funnel`
-                instances or dicts with compatible properties
-            heatmapgl
-                A tuple of
-                :class:`plotly.graph_objects.Heatmapgl`
-                instances or dicts with compatible properties
-            heatmap
-                A tuple of
-                :class:`plotly.graph_objects.Heatmap` instances
-                or dicts with compatible properties
-            histogram2dcontour
-                A tuple of :class:`plotly.graph_objects.Histogr
-                am2dContour` instances or dicts with compatible
-                properties
-            histogram2d
-                A tuple of
-                :class:`plotly.graph_objects.Histogram2d`
-                instances or dicts with compatible properties
-            histogram
-                A tuple of
-                :class:`plotly.graph_objects.Histogram`
-                instances or dicts with compatible properties
-            image
-                A tuple of :class:`plotly.graph_objects.Image`
-                instances or dicts with compatible properties
-            indicator
-                A tuple of
-                :class:`plotly.graph_objects.Indicator`
-                instances or dicts with compatible properties
-            isosurface
-                A tuple of
-                :class:`plotly.graph_objects.Isosurface`
-                instances or dicts with compatible properties
-            mesh3d
-                A tuple of :class:`plotly.graph_objects.Mesh3d`
-                instances or dicts with compatible properties
-            ohlc
-                A tuple of :class:`plotly.graph_objects.Ohlc`
-                instances or dicts with compatible properties
-            parcats
-                A tuple of
-                :class:`plotly.graph_objects.Parcats` instances
-                or dicts with compatible properties
-            parcoords
-                A tuple of
-                :class:`plotly.graph_objects.Parcoords`
-                instances or dicts with compatible properties
-            pie
-                A tuple of :class:`plotly.graph_objects.Pie`
-                instances or dicts with compatible properties
-            pointcloud
-                A tuple of
-                :class:`plotly.graph_objects.Pointcloud`
-                instances or dicts with compatible properties
-            sankey
-                A tuple of :class:`plotly.graph_objects.Sankey`
-                instances or dicts with compatible properties
-            scatter3d
-                A tuple of
-                :class:`plotly.graph_objects.Scatter3d`
-                instances or dicts with compatible properties
-            scattercarpet
-                A tuple of
-                :class:`plotly.graph_objects.Scattercarpet`
-                instances or dicts with compatible properties
-            scattergeo
-                A tuple of
-                :class:`plotly.graph_objects.Scattergeo`
-                instances or dicts with compatible properties
-            scattergl
-                A tuple of
-                :class:`plotly.graph_objects.Scattergl`
-                instances or dicts with compatible properties
-            scattermapbox
-                A tuple of
-                :class:`plotly.graph_objects.Scattermapbox`
-                instances or dicts with compatible properties
-            scatterpolargl
-                A tuple of
-                :class:`plotly.graph_objects.Scatterpolargl`
-                instances or dicts with compatible properties
-            scatterpolar
-                A tuple of
-                :class:`plotly.graph_objects.Scatterpolar`
-                instances or dicts with compatible properties
-            scatter
-                A tuple of
-                :class:`plotly.graph_objects.Scatter` instances
-                or dicts with compatible properties
-            scatterternary
-                A tuple of
-                :class:`plotly.graph_objects.Scatterternary`
-                instances or dicts with compatible properties
-            splom
-                A tuple of :class:`plotly.graph_objects.Splom`
-                instances or dicts with compatible properties
-            streamtube
-                A tuple of
-                :class:`plotly.graph_objects.Streamtube`
-                instances or dicts with compatible properties
-            sunburst
-                A tuple of
-                :class:`plotly.graph_objects.Sunburst`
-                instances or dicts with compatible properties
-            surface
-                A tuple of
-                :class:`plotly.graph_objects.Surface` instances
-                or dicts with compatible properties
-            table
-                A tuple of :class:`plotly.graph_objects.Table`
-                instances or dicts with compatible properties
-            treemap
-                A tuple of
-                :class:`plotly.graph_objects.Treemap` instances
-                or dicts with compatible properties
-            violin
-                A tuple of :class:`plotly.graph_objects.Violin`
-                instances or dicts with compatible properties
-            volume
-                A tuple of :class:`plotly.graph_objects.Volume`
-                instances or dicts with compatible properties
-            waterfall
-                A tuple of
-                :class:`plotly.graph_objects.Waterfall`
-                instances or dicts with compatible properties
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._layout.LayoutValidator", "._data.DataValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/template/_data.py b/packages/python/plotly/plotly/validators/layout/template/_data.py
new file mode 100644
index 00000000000..673153ea19b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/_data.py
@@ -0,0 +1,189 @@
+import _plotly_utils.basevalidators
+
+
+class DataValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="data", parent_name="layout.template", **kwargs):
+        super(DataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Data"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            area
+                A tuple of :class:`plotly.graph_objects.Area`
+                instances or dicts with compatible properties
+            barpolar
+                A tuple of
+                :class:`plotly.graph_objects.Barpolar`
+                instances or dicts with compatible properties
+            bar
+                A tuple of :class:`plotly.graph_objects.Bar`
+                instances or dicts with compatible properties
+            box
+                A tuple of :class:`plotly.graph_objects.Box`
+                instances or dicts with compatible properties
+            candlestick
+                A tuple of
+                :class:`plotly.graph_objects.Candlestick`
+                instances or dicts with compatible properties
+            carpet
+                A tuple of :class:`plotly.graph_objects.Carpet`
+                instances or dicts with compatible properties
+            choroplethmapbox
+                A tuple of
+                :class:`plotly.graph_objects.Choroplethmapbox`
+                instances or dicts with compatible properties
+            choropleth
+                A tuple of
+                :class:`plotly.graph_objects.Choropleth`
+                instances or dicts with compatible properties
+            cone
+                A tuple of :class:`plotly.graph_objects.Cone`
+                instances or dicts with compatible properties
+            contourcarpet
+                A tuple of
+                :class:`plotly.graph_objects.Contourcarpet`
+                instances or dicts with compatible properties
+            contour
+                A tuple of
+                :class:`plotly.graph_objects.Contour` instances
+                or dicts with compatible properties
+            densitymapbox
+                A tuple of
+                :class:`plotly.graph_objects.Densitymapbox`
+                instances or dicts with compatible properties
+            funnelarea
+                A tuple of
+                :class:`plotly.graph_objects.Funnelarea`
+                instances or dicts with compatible properties
+            funnel
+                A tuple of :class:`plotly.graph_objects.Funnel`
+                instances or dicts with compatible properties
+            heatmapgl
+                A tuple of
+                :class:`plotly.graph_objects.Heatmapgl`
+                instances or dicts with compatible properties
+            heatmap
+                A tuple of
+                :class:`plotly.graph_objects.Heatmap` instances
+                or dicts with compatible properties
+            histogram2dcontour
+                A tuple of :class:`plotly.graph_objects.Histogr
+                am2dContour` instances or dicts with compatible
+                properties
+            histogram2d
+                A tuple of
+                :class:`plotly.graph_objects.Histogram2d`
+                instances or dicts with compatible properties
+            histogram
+                A tuple of
+                :class:`plotly.graph_objects.Histogram`
+                instances or dicts with compatible properties
+            image
+                A tuple of :class:`plotly.graph_objects.Image`
+                instances or dicts with compatible properties
+            indicator
+                A tuple of
+                :class:`plotly.graph_objects.Indicator`
+                instances or dicts with compatible properties
+            isosurface
+                A tuple of
+                :class:`plotly.graph_objects.Isosurface`
+                instances or dicts with compatible properties
+            mesh3d
+                A tuple of :class:`plotly.graph_objects.Mesh3d`
+                instances or dicts with compatible properties
+            ohlc
+                A tuple of :class:`plotly.graph_objects.Ohlc`
+                instances or dicts with compatible properties
+            parcats
+                A tuple of
+                :class:`plotly.graph_objects.Parcats` instances
+                or dicts with compatible properties
+            parcoords
+                A tuple of
+                :class:`plotly.graph_objects.Parcoords`
+                instances or dicts with compatible properties
+            pie
+                A tuple of :class:`plotly.graph_objects.Pie`
+                instances or dicts with compatible properties
+            pointcloud
+                A tuple of
+                :class:`plotly.graph_objects.Pointcloud`
+                instances or dicts with compatible properties
+            sankey
+                A tuple of :class:`plotly.graph_objects.Sankey`
+                instances or dicts with compatible properties
+            scatter3d
+                A tuple of
+                :class:`plotly.graph_objects.Scatter3d`
+                instances or dicts with compatible properties
+            scattercarpet
+                A tuple of
+                :class:`plotly.graph_objects.Scattercarpet`
+                instances or dicts with compatible properties
+            scattergeo
+                A tuple of
+                :class:`plotly.graph_objects.Scattergeo`
+                instances or dicts with compatible properties
+            scattergl
+                A tuple of
+                :class:`plotly.graph_objects.Scattergl`
+                instances or dicts with compatible properties
+            scattermapbox
+                A tuple of
+                :class:`plotly.graph_objects.Scattermapbox`
+                instances or dicts with compatible properties
+            scatterpolargl
+                A tuple of
+                :class:`plotly.graph_objects.Scatterpolargl`
+                instances or dicts with compatible properties
+            scatterpolar
+                A tuple of
+                :class:`plotly.graph_objects.Scatterpolar`
+                instances or dicts with compatible properties
+            scatter
+                A tuple of
+                :class:`plotly.graph_objects.Scatter` instances
+                or dicts with compatible properties
+            scatterternary
+                A tuple of
+                :class:`plotly.graph_objects.Scatterternary`
+                instances or dicts with compatible properties
+            splom
+                A tuple of :class:`plotly.graph_objects.Splom`
+                instances or dicts with compatible properties
+            streamtube
+                A tuple of
+                :class:`plotly.graph_objects.Streamtube`
+                instances or dicts with compatible properties
+            sunburst
+                A tuple of
+                :class:`plotly.graph_objects.Sunburst`
+                instances or dicts with compatible properties
+            surface
+                A tuple of
+                :class:`plotly.graph_objects.Surface` instances
+                or dicts with compatible properties
+            table
+                A tuple of :class:`plotly.graph_objects.Table`
+                instances or dicts with compatible properties
+            treemap
+                A tuple of
+                :class:`plotly.graph_objects.Treemap` instances
+                or dicts with compatible properties
+            violin
+                A tuple of :class:`plotly.graph_objects.Violin`
+                instances or dicts with compatible properties
+            volume
+                A tuple of :class:`plotly.graph_objects.Volume`
+                instances or dicts with compatible properties
+            waterfall
+                A tuple of
+                :class:`plotly.graph_objects.Waterfall`
+                instances or dicts with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/_layout.py b/packages/python/plotly/plotly/validators/layout/template/_layout.py
new file mode 100644
index 00000000000..d5f84b047d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/_layout.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class LayoutValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="layout", parent_name="layout.template", **kwargs):
+        super(LayoutValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Layout"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/__init__.py b/packages/python/plotly/plotly/validators/layout/template/data/__init__.py
index f2e7c400a46..312285750c3 100644
--- a/packages/python/plotly/plotly/validators/layout/template/data/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/template/data/__init__.py
@@ -1,938 +1,106 @@
-import _plotly_utils.basevalidators
-
-
-class WaterfallsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="waterfall", parent_name="layout.template.data", **kwargs
-    ):
-        super(WaterfallsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Waterfall"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VolumesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="volume", parent_name="layout.template.data", **kwargs
-    ):
-        super(VolumesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Volume"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ViolinsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="violin", parent_name="layout.template.data", **kwargs
-    ):
-        super(ViolinsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Violin"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TreemapsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="treemap", parent_name="layout.template.data", **kwargs
-    ):
-        super(TreemapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Treemap"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TablesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="table", parent_name="layout.template.data", **kwargs
-    ):
-        super(TablesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Table"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfacesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="surface", parent_name="layout.template.data", **kwargs
-    ):
-        super(SurfacesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Surface"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SunburstsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="sunburst", parent_name="layout.template.data", **kwargs
-    ):
-        super(SunburstsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Sunburst"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamtubesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="streamtube", parent_name="layout.template.data", **kwargs
-    ):
-        super(StreamtubesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Streamtube"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SplomsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="splom", parent_name="layout.template.data", **kwargs
-    ):
-        super(SplomsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Splom"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterternarysValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scatterternary", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScatterternarysValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatterternary"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scatter", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScattersValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatter"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterpolarsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scatterpolar", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScatterpolarsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatterpolar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterpolarglsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scatterpolargl", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScatterpolarglsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatterpolargl"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattermapboxsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scattermapbox", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScattermapboxsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattermapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScatterglsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scattergl", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScatterglsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattergl"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattergeosValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scattergeo", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScattergeosValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattergeo"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScattercarpetsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scattercarpet", parent_name="layout.template.data", **kwargs
-    ):
-        super(ScattercarpetsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scattercarpet"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Scatter3dsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="scatter3d", parent_name="layout.template.data", **kwargs
-    ):
-        super(Scatter3dsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Scatter3d"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SankeysValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="sankey", parent_name="layout.template.data", **kwargs
-    ):
-        super(SankeysValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Sankey"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PointcloudsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="pointcloud", parent_name="layout.template.data", **kwargs
-    ):
-        super(PointcloudsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pointcloud"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PiesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="pie", parent_name="layout.template.data", **kwargs):
-        super(PiesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pie"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParcoordssValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="parcoords", parent_name="layout.template.data", **kwargs
-    ):
-        super(ParcoordssValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Parcoords"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParcatssValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="parcats", parent_name="layout.template.data", **kwargs
-    ):
-        super(ParcatssValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Parcats"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OhlcsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="ohlc", parent_name="layout.template.data", **kwargs
-    ):
-        super(OhlcsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Ohlc"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Mesh3dsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="mesh3d", parent_name="layout.template.data", **kwargs
-    ):
-        super(Mesh3dsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Mesh3d"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsosurfacesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="isosurface", parent_name="layout.template.data", **kwargs
-    ):
-        super(IsosurfacesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Isosurface"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IndicatorsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="indicator", parent_name="layout.template.data", **kwargs
-    ):
-        super(IndicatorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Indicator"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ImagesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="image", parent_name="layout.template.data", **kwargs
-    ):
-        super(ImagesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Image"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HistogramsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="histogram", parent_name="layout.template.data", **kwargs
-    ):
-        super(HistogramsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Histogram"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Histogram2dsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="histogram2d", parent_name="layout.template.data", **kwargs
-    ):
-        super(Histogram2dsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Histogram2d"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Histogram2dContoursValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="histogram2dcontour",
-        parent_name="layout.template.data",
-        **kwargs
-    ):
-        super(Histogram2dContoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Histogram2dContour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeatmapsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="heatmap", parent_name="layout.template.data", **kwargs
-    ):
-        super(HeatmapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Heatmap"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeatmapglsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="heatmapgl", parent_name="layout.template.data", **kwargs
-    ):
-        super(HeatmapglsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Heatmapgl"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="funnel", parent_name="layout.template.data", **kwargs
-    ):
-        super(FunnelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Funnel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FunnelareasValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="funnelarea", parent_name="layout.template.data", **kwargs
-    ):
-        super(FunnelareasValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Funnelarea"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DensitymapboxsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="densitymapbox", parent_name="layout.template.data", **kwargs
-    ):
-        super(DensitymapboxsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Densitymapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContoursValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="contour", parent_name="layout.template.data", **kwargs
-    ):
-        super(ContoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContourcarpetsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="contourcarpet", parent_name="layout.template.data", **kwargs
-    ):
-        super(ContourcarpetsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contourcarpet"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="cone", parent_name="layout.template.data", **kwargs
-    ):
-        super(ConesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Cone"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ChoroplethsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="choropleth", parent_name="layout.template.data", **kwargs
-    ):
-        super(ChoroplethsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Choropleth"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ChoroplethmapboxsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="choroplethmapbox",
-        parent_name="layout.template.data",
-        **kwargs
-    ):
-        super(ChoroplethmapboxsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Choroplethmapbox"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CarpetsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="carpet", parent_name="layout.template.data", **kwargs
-    ):
-        super(CarpetsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Carpet"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CandlesticksValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="candlestick", parent_name="layout.template.data", **kwargs
-    ):
-        super(CandlesticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Candlestick"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="box", parent_name="layout.template.data", **kwargs):
-        super(BoxsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Box"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="bar", parent_name="layout.template.data", **kwargs):
-        super(BarsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Bar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BarpolarsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="barpolar", parent_name="layout.template.data", **kwargs
-    ):
-        super(BarpolarsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Barpolar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AreasValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="area", parent_name="layout.template.data", **kwargs
-    ):
-        super(AreasValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Area"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._waterfall import WaterfallValidator
+    from ._volume import VolumeValidator
+    from ._violin import ViolinValidator
+    from ._treemap import TreemapValidator
+    from ._table import TableValidator
+    from ._surface import SurfaceValidator
+    from ._sunburst import SunburstValidator
+    from ._streamtube import StreamtubeValidator
+    from ._splom import SplomValidator
+    from ._scatterternary import ScatterternaryValidator
+    from ._scatter import ScatterValidator
+    from ._scatterpolar import ScatterpolarValidator
+    from ._scatterpolargl import ScatterpolarglValidator
+    from ._scattermapbox import ScattermapboxValidator
+    from ._scattergl import ScatterglValidator
+    from ._scattergeo import ScattergeoValidator
+    from ._scattercarpet import ScattercarpetValidator
+    from ._scatter3d import Scatter3DValidator
+    from ._sankey import SankeyValidator
+    from ._pointcloud import PointcloudValidator
+    from ._pie import PieValidator
+    from ._parcoords import ParcoordsValidator
+    from ._parcats import ParcatsValidator
+    from ._ohlc import OhlcValidator
+    from ._mesh3d import Mesh3DValidator
+    from ._isosurface import IsosurfaceValidator
+    from ._indicator import IndicatorValidator
+    from ._image import ImageValidator
+    from ._histogram import HistogramValidator
+    from ._histogram2d import Histogram2DValidator
+    from ._histogram2dcontour import Histogram2DcontourValidator
+    from ._heatmap import HeatmapValidator
+    from ._heatmapgl import HeatmapglValidator
+    from ._funnel import FunnelValidator
+    from ._funnelarea import FunnelareaValidator
+    from ._densitymapbox import DensitymapboxValidator
+    from ._contour import ContourValidator
+    from ._contourcarpet import ContourcarpetValidator
+    from ._cone import ConeValidator
+    from ._choropleth import ChoroplethValidator
+    from ._choroplethmapbox import ChoroplethmapboxValidator
+    from ._carpet import CarpetValidator
+    from ._candlestick import CandlestickValidator
+    from ._box import BoxValidator
+    from ._bar import BarValidator
+    from ._barpolar import BarpolarValidator
+    from ._area import AreaValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._waterfall.WaterfallValidator",
+            "._volume.VolumeValidator",
+            "._violin.ViolinValidator",
+            "._treemap.TreemapValidator",
+            "._table.TableValidator",
+            "._surface.SurfaceValidator",
+            "._sunburst.SunburstValidator",
+            "._streamtube.StreamtubeValidator",
+            "._splom.SplomValidator",
+            "._scatterternary.ScatterternaryValidator",
+            "._scatter.ScatterValidator",
+            "._scatterpolar.ScatterpolarValidator",
+            "._scatterpolargl.ScatterpolarglValidator",
+            "._scattermapbox.ScattermapboxValidator",
+            "._scattergl.ScatterglValidator",
+            "._scattergeo.ScattergeoValidator",
+            "._scattercarpet.ScattercarpetValidator",
+            "._scatter3d.Scatter3DValidator",
+            "._sankey.SankeyValidator",
+            "._pointcloud.PointcloudValidator",
+            "._pie.PieValidator",
+            "._parcoords.ParcoordsValidator",
+            "._parcats.ParcatsValidator",
+            "._ohlc.OhlcValidator",
+            "._mesh3d.Mesh3DValidator",
+            "._isosurface.IsosurfaceValidator",
+            "._indicator.IndicatorValidator",
+            "._image.ImageValidator",
+            "._histogram.HistogramValidator",
+            "._histogram2d.Histogram2DValidator",
+            "._histogram2dcontour.Histogram2DcontourValidator",
+            "._heatmap.HeatmapValidator",
+            "._heatmapgl.HeatmapglValidator",
+            "._funnel.FunnelValidator",
+            "._funnelarea.FunnelareaValidator",
+            "._densitymapbox.DensitymapboxValidator",
+            "._contour.ContourValidator",
+            "._contourcarpet.ContourcarpetValidator",
+            "._cone.ConeValidator",
+            "._choropleth.ChoroplethValidator",
+            "._choroplethmapbox.ChoroplethmapboxValidator",
+            "._carpet.CarpetValidator",
+            "._candlestick.CandlestickValidator",
+            "._box.BoxValidator",
+            "._bar.BarValidator",
+            "._barpolar.BarpolarValidator",
+            "._area.AreaValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_area.py b/packages/python/plotly/plotly/validators/layout/template/data/_area.py
new file mode 100644
index 00000000000..6048201a163
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_area.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AreaValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="area", parent_name="layout.template.data", **kwargs
+    ):
+        super(AreaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Area"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_bar.py b/packages/python/plotly/plotly/validators/layout/template/data/_bar.py
new file mode 100644
index 00000000000..4e90fa0869e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_bar.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class BarValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="bar", parent_name="layout.template.data", **kwargs):
+        super(BarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Bar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_barpolar.py b/packages/python/plotly/plotly/validators/layout/template/data/_barpolar.py
new file mode 100644
index 00000000000..91b87da7c15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_barpolar.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BarpolarValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="barpolar", parent_name="layout.template.data", **kwargs
+    ):
+        super(BarpolarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Barpolar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_box.py b/packages/python/plotly/plotly/validators/layout/template/data/_box.py
new file mode 100644
index 00000000000..b529582cca3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_box.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class BoxValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="box", parent_name="layout.template.data", **kwargs):
+        super(BoxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Box"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_candlestick.py b/packages/python/plotly/plotly/validators/layout/template/data/_candlestick.py
new file mode 100644
index 00000000000..4444c316e25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_candlestick.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class CandlestickValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="candlestick", parent_name="layout.template.data", **kwargs
+    ):
+        super(CandlestickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Candlestick"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_carpet.py b/packages/python/plotly/plotly/validators/layout/template/data/_carpet.py
new file mode 100644
index 00000000000..b7088cab1b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_carpet.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class CarpetValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="carpet", parent_name="layout.template.data", **kwargs
+    ):
+        super(CarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Carpet"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_choropleth.py b/packages/python/plotly/plotly/validators/layout/template/data/_choropleth.py
new file mode 100644
index 00000000000..7463e577e8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_choropleth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ChoroplethValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="choropleth", parent_name="layout.template.data", **kwargs
+    ):
+        super(ChoroplethValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Choropleth"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_choroplethmapbox.py b/packages/python/plotly/plotly/validators/layout/template/data/_choroplethmapbox.py
new file mode 100644
index 00000000000..1498cd89ff9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_choroplethmapbox.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class ChoroplethmapboxValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="choroplethmapbox",
+        parent_name="layout.template.data",
+        **kwargs
+    ):
+        super(ChoroplethmapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Choroplethmapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_cone.py b/packages/python/plotly/plotly/validators/layout/template/data/_cone.py
new file mode 100644
index 00000000000..178aca2475a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_cone.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ConeValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="cone", parent_name="layout.template.data", **kwargs
+    ):
+        super(ConeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Cone"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_contour.py b/packages/python/plotly/plotly/validators/layout/template/data/_contour.py
new file mode 100644
index 00000000000..ad7eae7ef74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_contour.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ContourValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="contour", parent_name="layout.template.data", **kwargs
+    ):
+        super(ContourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_contourcarpet.py b/packages/python/plotly/plotly/validators/layout/template/data/_contourcarpet.py
new file mode 100644
index 00000000000..96e85549e13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_contourcarpet.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ContourcarpetValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="contourcarpet", parent_name="layout.template.data", **kwargs
+    ):
+        super(ContourcarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contourcarpet"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_densitymapbox.py b/packages/python/plotly/plotly/validators/layout/template/data/_densitymapbox.py
new file mode 100644
index 00000000000..f768f50c3bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_densitymapbox.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class DensitymapboxValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="densitymapbox", parent_name="layout.template.data", **kwargs
+    ):
+        super(DensitymapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Densitymapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_funnel.py b/packages/python/plotly/plotly/validators/layout/template/data/_funnel.py
new file mode 100644
index 00000000000..7a0a07d26e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_funnel.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="funnel", parent_name="layout.template.data", **kwargs
+    ):
+        super(FunnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Funnel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_funnelarea.py b/packages/python/plotly/plotly/validators/layout/template/data/_funnelarea.py
new file mode 100644
index 00000000000..c4948d02925
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_funnelarea.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class FunnelareaValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="funnelarea", parent_name="layout.template.data", **kwargs
+    ):
+        super(FunnelareaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Funnelarea"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_heatmap.py b/packages/python/plotly/plotly/validators/layout/template/data/_heatmap.py
new file mode 100644
index 00000000000..eadc63d7e44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_heatmap.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class HeatmapValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="heatmap", parent_name="layout.template.data", **kwargs
+    ):
+        super(HeatmapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Heatmap"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_heatmapgl.py b/packages/python/plotly/plotly/validators/layout/template/data/_heatmapgl.py
new file mode 100644
index 00000000000..0641b83d5d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_heatmapgl.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class HeatmapglValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="heatmapgl", parent_name="layout.template.data", **kwargs
+    ):
+        super(HeatmapglValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Heatmapgl"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_histogram.py b/packages/python/plotly/plotly/validators/layout/template/data/_histogram.py
new file mode 100644
index 00000000000..f5c6fc1b9df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_histogram.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class HistogramValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="histogram", parent_name="layout.template.data", **kwargs
+    ):
+        super(HistogramValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Histogram"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_histogram2d.py b/packages/python/plotly/plotly/validators/layout/template/data/_histogram2d.py
new file mode 100644
index 00000000000..877cb1e0bb4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_histogram2d.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class Histogram2DValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="histogram2d", parent_name="layout.template.data", **kwargs
+    ):
+        super(Histogram2DValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Histogram2d"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_histogram2dcontour.py b/packages/python/plotly/plotly/validators/layout/template/data/_histogram2dcontour.py
new file mode 100644
index 00000000000..52b9a160855
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_histogram2dcontour.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class Histogram2DcontourValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="histogram2dcontour",
+        parent_name="layout.template.data",
+        **kwargs
+    ):
+        super(Histogram2DcontourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Histogram2dContour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_image.py b/packages/python/plotly/plotly/validators/layout/template/data/_image.py
new file mode 100644
index 00000000000..439aebdc655
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_image.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ImageValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="image", parent_name="layout.template.data", **kwargs
+    ):
+        super(ImageValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Image"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_indicator.py b/packages/python/plotly/plotly/validators/layout/template/data/_indicator.py
new file mode 100644
index 00000000000..86d92173f9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_indicator.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class IndicatorValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="indicator", parent_name="layout.template.data", **kwargs
+    ):
+        super(IndicatorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Indicator"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_isosurface.py b/packages/python/plotly/plotly/validators/layout/template/data/_isosurface.py
new file mode 100644
index 00000000000..28e56f5c27f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_isosurface.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class IsosurfaceValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="isosurface", parent_name="layout.template.data", **kwargs
+    ):
+        super(IsosurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Isosurface"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_mesh3d.py b/packages/python/plotly/plotly/validators/layout/template/data/_mesh3d.py
new file mode 100644
index 00000000000..566f0d14d7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_mesh3d.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class Mesh3DValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="mesh3d", parent_name="layout.template.data", **kwargs
+    ):
+        super(Mesh3DValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Mesh3d"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_ohlc.py b/packages/python/plotly/plotly/validators/layout/template/data/_ohlc.py
new file mode 100644
index 00000000000..d4de3d9005e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_ohlc.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OhlcValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="ohlc", parent_name="layout.template.data", **kwargs
+    ):
+        super(OhlcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Ohlc"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_parcats.py b/packages/python/plotly/plotly/validators/layout/template/data/_parcats.py
new file mode 100644
index 00000000000..b1aab667886
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_parcats.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ParcatsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="parcats", parent_name="layout.template.data", **kwargs
+    ):
+        super(ParcatsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Parcats"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_parcoords.py b/packages/python/plotly/plotly/validators/layout/template/data/_parcoords.py
new file mode 100644
index 00000000000..a8c188f6743
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_parcoords.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ParcoordsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="parcoords", parent_name="layout.template.data", **kwargs
+    ):
+        super(ParcoordsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Parcoords"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_pie.py b/packages/python/plotly/plotly/validators/layout/template/data/_pie.py
new file mode 100644
index 00000000000..2027420266c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_pie.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class PieValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="pie", parent_name="layout.template.data", **kwargs):
+        super(PieValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pie"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_pointcloud.py b/packages/python/plotly/plotly/validators/layout/template/data/_pointcloud.py
new file mode 100644
index 00000000000..da15aa89dbe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_pointcloud.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class PointcloudValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="pointcloud", parent_name="layout.template.data", **kwargs
+    ):
+        super(PointcloudValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pointcloud"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_sankey.py b/packages/python/plotly/plotly/validators/layout/template/data/_sankey.py
new file mode 100644
index 00000000000..bc3f91d3854
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_sankey.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SankeyValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="sankey", parent_name="layout.template.data", **kwargs
+    ):
+        super(SankeyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Sankey"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scatter.py b/packages/python/plotly/plotly/validators/layout/template/data/_scatter.py
new file mode 100644
index 00000000000..951e8db374d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scatter.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scatter", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScatterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatter"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scatter3d.py b/packages/python/plotly/plotly/validators/layout/template/data/_scatter3d.py
new file mode 100644
index 00000000000..59ef42d7e48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scatter3d.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class Scatter3DValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scatter3d", parent_name="layout.template.data", **kwargs
+    ):
+        super(Scatter3DValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatter3d"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scattercarpet.py b/packages/python/plotly/plotly/validators/layout/template/data/_scattercarpet.py
new file mode 100644
index 00000000000..0c9e0059ad0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scattercarpet.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScattercarpetValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scattercarpet", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScattercarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattercarpet"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scattergeo.py b/packages/python/plotly/plotly/validators/layout/template/data/_scattergeo.py
new file mode 100644
index 00000000000..2bec7dbbb40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scattergeo.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScattergeoValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scattergeo", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScattergeoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattergeo"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scattergl.py b/packages/python/plotly/plotly/validators/layout/template/data/_scattergl.py
new file mode 100644
index 00000000000..f494b1f6f2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scattergl.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterglValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scattergl", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScatterglValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattergl"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scattermapbox.py b/packages/python/plotly/plotly/validators/layout/template/data/_scattermapbox.py
new file mode 100644
index 00000000000..160705a329f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scattermapbox.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScattermapboxValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scattermapbox", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScattermapboxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scattermapbox"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scatterpolar.py b/packages/python/plotly/plotly/validators/layout/template/data/_scatterpolar.py
new file mode 100644
index 00000000000..0cafa2d17c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scatterpolar.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterpolarValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scatterpolar", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScatterpolarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatterpolar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scatterpolargl.py b/packages/python/plotly/plotly/validators/layout/template/data/_scatterpolargl.py
new file mode 100644
index 00000000000..671f27fd6f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scatterpolargl.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterpolarglValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scatterpolargl", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScatterpolarglValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatterpolargl"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_scatterternary.py b/packages/python/plotly/plotly/validators/layout/template/data/_scatterternary.py
new file mode 100644
index 00000000000..27c76ffbeff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_scatterternary.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ScatterternaryValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="scatterternary", parent_name="layout.template.data", **kwargs
+    ):
+        super(ScatterternaryValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Scatterternary"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_splom.py b/packages/python/plotly/plotly/validators/layout/template/data/_splom.py
new file mode 100644
index 00000000000..f1ccbd6cf96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_splom.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SplomValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="splom", parent_name="layout.template.data", **kwargs
+    ):
+        super(SplomValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Splom"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_streamtube.py b/packages/python/plotly/plotly/validators/layout/template/data/_streamtube.py
new file mode 100644
index 00000000000..b87055516d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_streamtube.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class StreamtubeValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="streamtube", parent_name="layout.template.data", **kwargs
+    ):
+        super(StreamtubeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Streamtube"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_sunburst.py b/packages/python/plotly/plotly/validators/layout/template/data/_sunburst.py
new file mode 100644
index 00000000000..46aa2ed78b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_sunburst.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SunburstValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="sunburst", parent_name="layout.template.data", **kwargs
+    ):
+        super(SunburstValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Sunburst"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_surface.py b/packages/python/plotly/plotly/validators/layout/template/data/_surface.py
new file mode 100644
index 00000000000..5e20d4e8882
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_surface.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SurfaceValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="surface", parent_name="layout.template.data", **kwargs
+    ):
+        super(SurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Surface"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_table.py b/packages/python/plotly/plotly/validators/layout/template/data/_table.py
new file mode 100644
index 00000000000..d160265455f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_table.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TableValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="table", parent_name="layout.template.data", **kwargs
+    ):
+        super(TableValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Table"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_treemap.py b/packages/python/plotly/plotly/validators/layout/template/data/_treemap.py
new file mode 100644
index 00000000000..0f30b901044
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_treemap.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TreemapValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="treemap", parent_name="layout.template.data", **kwargs
+    ):
+        super(TreemapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Treemap"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_violin.py b/packages/python/plotly/plotly/validators/layout/template/data/_violin.py
new file mode 100644
index 00000000000..b5c17470b07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_violin.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ViolinValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="violin", parent_name="layout.template.data", **kwargs
+    ):
+        super(ViolinValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Violin"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_volume.py b/packages/python/plotly/plotly/validators/layout/template/data/_volume.py
new file mode 100644
index 00000000000..8c1cef3029c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_volume.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class VolumeValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="volume", parent_name="layout.template.data", **kwargs
+    ):
+        super(VolumeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Volume"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/template/data/_waterfall.py b/packages/python/plotly/plotly/validators/layout/template/data/_waterfall.py
new file mode 100644
index 00000000000..fd5fd291843
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/template/data/_waterfall.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class WaterfallValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="waterfall", parent_name="layout.template.data", **kwargs
+    ):
+        super(WaterfallValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Waterfall"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/__init__.py
index 4793dbe2785..8b8fb6a521b 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/__init__.py
@@ -1,746 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.ternary", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SumValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sum", parent_name="layout.ternary", **kwargs):
-        super(SumValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.ternary", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this ternary
-                subplot .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this ternary subplot .
-            x
-                Sets the horizontal domain of this ternary
-                subplot (in plot fraction).
-            y
-                Sets the vertical domain of this ternary
-                subplot (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="caxis", parent_name="layout.ternary", **kwargs):
-        super(CaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Caxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            min
-                The minimum value visible on this axis. The
-                maximum is determined by the sum minus the
-                minimum values of the other two axes. The full
-                view corresponds to all the minima set to zero.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                ternary.caxis.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.ternary.caxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of layout.ternary.caxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.ternary.cax
-                is.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.ternary.caxis.title.font instead. Sets
-                this axis' title font. Note that the title's
-                font used to be customized by the now
-                deprecated `titlefont` attribute.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `min`, and `title` if in `editable: true`
-                configuration. Defaults to
-                `ternary<N>.uirevision`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="layout.ternary", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="baxis", parent_name="layout.ternary", **kwargs):
-        super(BaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Baxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            min
-                The minimum value visible on this axis. The
-                maximum is determined by the sum minus the
-                minimum values of the other two axes. The full
-                view corresponds to all the minima set to zero.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                ternary.baxis.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.ternary.baxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of layout.ternary.baxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.ternary.bax
-                is.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.ternary.baxis.title.font instead. Sets
-                this axis' title font. Note that the title's
-                font used to be customized by the now
-                deprecated `titlefont` attribute.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `min`, and `title` if in `editable: true`
-                configuration. Defaults to
-                `ternary<N>.uirevision`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="aaxis", parent_name="layout.ternary", **kwargs):
-        super(AaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Aaxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets default for all colors associated with
-                this axis all at once: line, font, tick, and
-                grid colors. Grid color is lightened by
-                blending this with the plot background
-                Individual pieces can override this.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            gridcolor
-                Sets the color of the grid lines.
-            gridwidth
-                Sets the width (in px) of the grid lines.
-            hoverformat
-                Sets the hover text formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            layer
-                Sets the layer on which this axis is displayed.
-                If *above traces*, this axis is displayed above
-                all the subplot's traces If *below traces*,
-                this axis is displayed below all the subplot's
-                traces, but above the grid lines. Useful when
-                used together with scatter-like traces with
-                `cliponaxis` set to False to show markers
-                and/or text nodes above this axis.
-            linecolor
-                Sets the axis line color.
-            linewidth
-                Sets the width (in px) of the axis line.
-            min
-                The minimum value visible on this axis. The
-                maximum is determined by the sum minus the
-                minimum values of the other two axes. The full
-                view corresponds to all the minima set to zero.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showgrid
-                Determines whether or not grid lines are drawn.
-                If True, the grid lines are drawn at every tick
-                mark.
-            showline
-                Determines whether or not a line bounding this
-                axis is drawn.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the tick font.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.layout.
-                ternary.aaxis.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.lay
-                out.ternary.aaxis.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of layout.ternary.aaxis.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.layout.ternary.aax
-                is.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                layout.ternary.aaxis.title.font instead. Sets
-                this axis' title font. Note that the title's
-                font used to be customized by the now
-                deprecated `titlefont` attribute.
-            uirevision
-                Controls persistence of user-driven changes in
-                axis `min`, and `title` if in `editable: true`
-                configuration. Defaults to
-                `ternary<N>.uirevision`.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._uirevision import UirevisionValidator
+    from ._sum import SumValidator
+    from ._domain import DomainValidator
+    from ._caxis import CaxisValidator
+    from ._bgcolor import BgcolorValidator
+    from ._baxis import BaxisValidator
+    from ._aaxis import AaxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._uirevision.UirevisionValidator",
+            "._sum.SumValidator",
+            "._domain.DomainValidator",
+            "._caxis.CaxisValidator",
+            "._bgcolor.BgcolorValidator",
+            "._baxis.BaxisValidator",
+            "._aaxis.AaxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_aaxis.py b/packages/python/plotly/plotly/validators/layout/ternary/_aaxis.py
new file mode 100644
index 00000000000..b10630abe96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_aaxis.py
@@ -0,0 +1,222 @@
+import _plotly_utils.basevalidators
+
+
+class AaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="aaxis", parent_name="layout.ternary", **kwargs):
+        super(AaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Aaxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            min
+                The minimum value visible on this axis. The
+                maximum is determined by the sum minus the
+                minimum values of the other two axes. The full
+                view corresponds to all the minima set to zero.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                ternary.aaxis.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.ternary.aaxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of layout.ternary.aaxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.ternary.aax
+                is.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.ternary.aaxis.title.font instead. Sets
+                this axis' title font. Note that the title's
+                font used to be customized by the now
+                deprecated `titlefont` attribute.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `min`, and `title` if in `editable: true`
+                configuration. Defaults to
+                `ternary<N>.uirevision`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_baxis.py b/packages/python/plotly/plotly/validators/layout/ternary/_baxis.py
new file mode 100644
index 00000000000..8da8ec2df41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_baxis.py
@@ -0,0 +1,222 @@
+import _plotly_utils.basevalidators
+
+
+class BaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="baxis", parent_name="layout.ternary", **kwargs):
+        super(BaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Baxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            min
+                The minimum value visible on this axis. The
+                maximum is determined by the sum minus the
+                minimum values of the other two axes. The full
+                view corresponds to all the minima set to zero.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                ternary.baxis.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.ternary.baxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of layout.ternary.baxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.ternary.bax
+                is.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.ternary.baxis.title.font instead. Sets
+                this axis' title font. Note that the title's
+                font used to be customized by the now
+                deprecated `titlefont` attribute.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `min`, and `title` if in `editable: true`
+                configuration. Defaults to
+                `ternary<N>.uirevision`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/_bgcolor.py
new file mode 100644
index 00000000000..bce23f5f80a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="layout.ternary", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_caxis.py b/packages/python/plotly/plotly/validators/layout/ternary/_caxis.py
new file mode 100644
index 00000000000..f20d41ee802
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_caxis.py
@@ -0,0 +1,222 @@
+import _plotly_utils.basevalidators
+
+
+class CaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="caxis", parent_name="layout.ternary", **kwargs):
+        super(CaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Caxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets default for all colors associated with
+                this axis all at once: line, font, tick, and
+                grid colors. Grid color is lightened by
+                blending this with the plot background
+                Individual pieces can override this.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            gridcolor
+                Sets the color of the grid lines.
+            gridwidth
+                Sets the width (in px) of the grid lines.
+            hoverformat
+                Sets the hover text formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            layer
+                Sets the layer on which this axis is displayed.
+                If *above traces*, this axis is displayed above
+                all the subplot's traces If *below traces*,
+                this axis is displayed below all the subplot's
+                traces, but above the grid lines. Useful when
+                used together with scatter-like traces with
+                `cliponaxis` set to False to show markers
+                and/or text nodes above this axis.
+            linecolor
+                Sets the axis line color.
+            linewidth
+                Sets the width (in px) of the axis line.
+            min
+                The minimum value visible on this axis. The
+                maximum is determined by the sum minus the
+                minimum values of the other two axes. The full
+                view corresponds to all the minima set to zero.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showgrid
+                Determines whether or not grid lines are drawn.
+                If True, the grid lines are drawn at every tick
+                mark.
+            showline
+                Determines whether or not a line bounding this
+                axis is drawn.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the tick font.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.layout.
+                ternary.caxis.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.lay
+                out.ternary.caxis.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of layout.ternary.caxis.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.layout.ternary.cax
+                is.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                layout.ternary.caxis.title.font instead. Sets
+                this axis' title font. Note that the title's
+                font used to be customized by the now
+                deprecated `titlefont` attribute.
+            uirevision
+                Controls persistence of user-driven changes in
+                axis `min`, and `title` if in `editable: true`
+                configuration. Defaults to
+                `ternary<N>.uirevision`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_domain.py b/packages/python/plotly/plotly/validators/layout/ternary/_domain.py
new file mode 100644
index 00000000000..4e1203f2739
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.ternary", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this ternary
+                subplot .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this ternary subplot .
+            x
+                Sets the horizontal domain of this ternary
+                subplot (in plot fraction).
+            y
+                Sets the vertical domain of this ternary
+                subplot (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_sum.py b/packages/python/plotly/plotly/validators/layout/ternary/_sum.py
new file mode 100644
index 00000000000..5303c844cd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_sum.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SumValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sum", parent_name="layout.ternary", **kwargs):
+        super(SumValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/_uirevision.py b/packages/python/plotly/plotly/validators/layout/ternary/_uirevision.py
new file mode 100644
index 00000000000..2ce55907d91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.ternary", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/__init__.py
index 6594085445c..36c8023e0fc 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/__init__.py
@@ -1,693 +1,86 @@
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.ternary.aaxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="layout.ternary.aaxis",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.ternary.aaxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="min", parent_name="layout.ternary.aaxis", **kwargs):
-        super(MinValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="layer", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.ternary.aaxis", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._uirevision import UirevisionValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._nticks import NticksValidator
+    from ._min import MinValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._uirevision.UirevisionValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._nticks.NticksValidator",
+            "._min.MinValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_color.py
new file mode 100644
index 00000000000..a539927e3d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_dtick.py
new file mode 100644
index 00000000000..248622b6691
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_exponentformat.py
new file mode 100644
index 00000000000..78e16c37f87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_gridcolor.py
new file mode 100644
index 00000000000..0607b91917e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_gridwidth.py
new file mode 100644
index 00000000000..73fe6266701
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_hoverformat.py
new file mode 100644
index 00000000000..1f00dc0d32d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_layer.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_layer.py
new file mode 100644
index 00000000000..0f1bd06134a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_layer.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="layer", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_linecolor.py
new file mode 100644
index 00000000000..3affe214bd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_linewidth.py
new file mode 100644
index 00000000000..5cd9284f1a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_min.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_min.py
new file mode 100644
index 00000000000..923df6b5b23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_min.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MinValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="min", parent_name="layout.ternary.aaxis", **kwargs):
+        super(MinValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_nticks.py
new file mode 100644
index 00000000000..dc166ec03c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_separatethousands.py
new file mode 100644
index 00000000000..a7d891dd491
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.ternary.aaxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showexponent.py
new file mode 100644
index 00000000000..3490fc30185
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showgrid.py
new file mode 100644
index 00000000000..7cb3c866285
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showline.py
new file mode 100644
index 00000000000..a7e111c1b61
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showticklabels.py
new file mode 100644
index 00000000000..227561c294a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showtickprefix.py
new file mode 100644
index 00000000000..01a992ba560
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showticksuffix.py
new file mode 100644
index 00000000000..9c9fea35b01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tick0.py
new file mode 100644
index 00000000000..ae718cf3719
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickangle.py
new file mode 100644
index 00000000000..f47994dcf27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickcolor.py
new file mode 100644
index 00000000000..745792ab6cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickfont.py
new file mode 100644
index 00000000000..4b201b8555a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformat.py
new file mode 100644
index 00000000000..ac23cad7ba6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..84549917a0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.ternary.aaxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformatstops.py
new file mode 100644
index 00000000000..f4cfc23ef63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="layout.ternary.aaxis",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticklen.py
new file mode 100644
index 00000000000..99bff32a46d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickmode.py
new file mode 100644
index 00000000000..b7471b38e99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickprefix.py
new file mode 100644
index 00000000000..9ce7cd401e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticks.py
new file mode 100644
index 00000000000..961d9f87aae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticksuffix.py
new file mode 100644
index 00000000000..ac693d730c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticktext.py
new file mode 100644
index 00000000000..9e9b7b58f6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..4b10275f46f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvals.py
new file mode 100644
index 00000000000..b0b9318a672
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..90db1553004
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickwidth.py
new file mode 100644
index 00000000000..b6494b6db63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_title.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_title.py
new file mode 100644
index 00000000000..0a7a84c2d23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_title.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_uirevision.py
new file mode 100644
index 00000000000..21ed7eb9d36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.ternary.aaxis", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/__init__.py
index 176847b678d..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.ternary.aaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.ternary.aaxis.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.ternary.aaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_color.py
new file mode 100644
index 00000000000..96fdbe535de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.ternary.aaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_family.py
new file mode 100644
index 00000000000..f5d72e91796
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.ternary.aaxis.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_size.py
new file mode 100644
index 00000000000..1c3bea2ca6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.ternary.aaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/__init__.py
index 9316093da79..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.ternary.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.ternary.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.ternary.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.ternary.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.ternary.aaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..0eb7c58a215
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.ternary.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..3536b85673d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.ternary.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..7e4ad8385d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.ternary.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..dd99579dd34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.ternary.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..aceaf73ede9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.ternary.aaxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/__init__.py
index c6eaf511303..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.ternary.aaxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.ternary.aaxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/_font.py
new file mode 100644
index 00000000000..a9840a2e824
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.ternary.aaxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/_text.py
new file mode 100644
index 00000000000..0e3ec90be04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.ternary.aaxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/__init__.py
index f4c529652c3..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.ternary.aaxis.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.ternary.aaxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.ternary.aaxis.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_color.py
new file mode 100644
index 00000000000..f79015dc867
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.ternary.aaxis.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_family.py
new file mode 100644
index 00000000000..d2850433f0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.ternary.aaxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_size.py
new file mode 100644
index 00000000000..5fc92216891
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/aaxis/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.ternary.aaxis.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/__init__.py
index b7a8e13cefa..36c8023e0fc 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/baxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/__init__.py
@@ -1,693 +1,86 @@
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.ternary.baxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="layout.ternary.baxis",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.ternary.baxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="min", parent_name="layout.ternary.baxis", **kwargs):
-        super(MinValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="layer", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.ternary.baxis", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._uirevision import UirevisionValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._nticks import NticksValidator
+    from ._min import MinValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._uirevision.UirevisionValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._nticks.NticksValidator",
+            "._min.MinValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_color.py
new file mode 100644
index 00000000000..cd7ab3f8f49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_dtick.py
new file mode 100644
index 00000000000..c5a9b2d0be6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_exponentformat.py
new file mode 100644
index 00000000000..b402c3f394d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_gridcolor.py
new file mode 100644
index 00000000000..b2c46405d2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_gridwidth.py
new file mode 100644
index 00000000000..7fd94ddb4ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_hoverformat.py
new file mode 100644
index 00000000000..4c265221484
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_layer.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_layer.py
new file mode 100644
index 00000000000..5388efb4a70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_layer.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="layer", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_linecolor.py
new file mode 100644
index 00000000000..cab4c613fe6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_linewidth.py
new file mode 100644
index 00000000000..fec0c9d5070
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_min.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_min.py
new file mode 100644
index 00000000000..495db39e85b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_min.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MinValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="min", parent_name="layout.ternary.baxis", **kwargs):
+        super(MinValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_nticks.py
new file mode 100644
index 00000000000..260cd234eae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_separatethousands.py
new file mode 100644
index 00000000000..1648cf57a71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.ternary.baxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showexponent.py
new file mode 100644
index 00000000000..bf6f4193a5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showgrid.py
new file mode 100644
index 00000000000..255154cc6ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showline.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showline.py
new file mode 100644
index 00000000000..53aa9a3d2c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showticklabels.py
new file mode 100644
index 00000000000..230cb54d85e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showtickprefix.py
new file mode 100644
index 00000000000..82b2061000e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showticksuffix.py
new file mode 100644
index 00000000000..7bcfb1babfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tick0.py
new file mode 100644
index 00000000000..f82ff4b68f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickangle.py
new file mode 100644
index 00000000000..e9f7642a213
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickcolor.py
new file mode 100644
index 00000000000..fe353e02fd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickfont.py
new file mode 100644
index 00000000000..0b622ac1125
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformat.py
new file mode 100644
index 00000000000..39a594a0ec2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..de1254393a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.ternary.baxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformatstops.py
new file mode 100644
index 00000000000..73fde506e29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="layout.ternary.baxis",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticklen.py
new file mode 100644
index 00000000000..1833ed2075c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickmode.py
new file mode 100644
index 00000000000..d28e701e79f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickprefix.py
new file mode 100644
index 00000000000..61d64de90ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticks.py
new file mode 100644
index 00000000000..b824c469cf0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticksuffix.py
new file mode 100644
index 00000000000..fcf670c6029
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticktext.py
new file mode 100644
index 00000000000..36c809f5a96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticktextsrc.py
new file mode 100644
index 00000000000..e3802f9eda3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickvals.py
new file mode 100644
index 00000000000..f18926fa19e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickvalssrc.py
new file mode 100644
index 00000000000..1fbbe00ac9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickwidth.py
new file mode 100644
index 00000000000..b3550380376
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_title.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_title.py
new file mode 100644
index 00000000000..6ed680bff04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_title.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_uirevision.py
new file mode 100644
index 00000000000..a7b2909ac0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.ternary.baxis", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/__init__.py
index 818b8edb95e..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.ternary.baxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.ternary.baxis.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.ternary.baxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_color.py
new file mode 100644
index 00000000000..f1265aa5696
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.ternary.baxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_family.py
new file mode 100644
index 00000000000..30d876f5432
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.ternary.baxis.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_size.py
new file mode 100644
index 00000000000..7763e51c3e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.ternary.baxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/__init__.py
index ee3e8749d03..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.ternary.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.ternary.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.ternary.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.ternary.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.ternary.baxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..59676af7f48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.ternary.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a80caa462bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.ternary.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..51efab5bfdf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.ternary.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..bfce468158f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.ternary.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..78e584626b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.ternary.baxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/__init__.py
index 7c16ce10866..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.ternary.baxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.ternary.baxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/_font.py
new file mode 100644
index 00000000000..14d7d300ac0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.ternary.baxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/_text.py
new file mode 100644
index 00000000000..c3f2331f53d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.ternary.baxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/__init__.py
index 10120dc1083..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.ternary.baxis.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.ternary.baxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.ternary.baxis.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_color.py
new file mode 100644
index 00000000000..f1bd914cd75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.ternary.baxis.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_family.py
new file mode 100644
index 00000000000..ddfa960a40b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.ternary.baxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_size.py
new file mode 100644
index 00000000000..da2fe0bcf58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.ternary.baxis.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/__init__.py
index 87764edeab1..36c8023e0fc 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/caxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/__init__.py
@@ -1,693 +1,86 @@
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="layout.ternary.caxis",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="layout.ternary.caxis",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showline", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showgrid", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="layout.ternary.caxis",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="min", parent_name="layout.ternary.caxis", **kwargs):
-        super(MinValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="linewidth", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="linecolor", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="layer", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hoverformat", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="gridwidth", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="gridcolor", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.ternary.caxis", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._uirevision import UirevisionValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._nticks import NticksValidator
+    from ._min import MinValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._uirevision.UirevisionValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._nticks.NticksValidator",
+            "._min.MinValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_color.py
new file mode 100644
index 00000000000..29ad6a0d03b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_dtick.py
new file mode 100644
index 00000000000..fc0724da07a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_exponentformat.py
new file mode 100644
index 00000000000..4b1df283a7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_gridcolor.py
new file mode 100644
index 00000000000..1e0c1b8a787
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_gridcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="gridcolor", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_gridwidth.py
new file mode 100644
index 00000000000..10246df9e85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_gridwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="gridwidth", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_hoverformat.py
new file mode 100644
index 00000000000..cae12f15f97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_hoverformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hoverformat", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_layer.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_layer.py
new file mode 100644
index 00000000000..640ea935756
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_layer.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="layer", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_linecolor.py
new file mode 100644
index 00000000000..272dd08fa50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_linecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="linecolor", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_linewidth.py
new file mode 100644
index 00000000000..997a9bd6aff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_linewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="linewidth", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_min.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_min.py
new file mode 100644
index 00000000000..006c958eb09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_min.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MinValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="min", parent_name="layout.ternary.caxis", **kwargs):
+        super(MinValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_nticks.py
new file mode 100644
index 00000000000..8b8c59c48c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_separatethousands.py
new file mode 100644
index 00000000000..3066a21d9e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="layout.ternary.caxis",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showexponent.py
new file mode 100644
index 00000000000..1ba389e99d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showgrid.py
new file mode 100644
index 00000000000..13a244ed9ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showgrid.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showgrid", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showline.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showline.py
new file mode 100644
index 00000000000..2db2bdd7bfc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showline.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showline", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showticklabels.py
new file mode 100644
index 00000000000..7be8f4609ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showtickprefix.py
new file mode 100644
index 00000000000..331e3a0c422
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showticksuffix.py
new file mode 100644
index 00000000000..1ecc31c579f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tick0.py
new file mode 100644
index 00000000000..8276bbdc37d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickangle.py
new file mode 100644
index 00000000000..1f6351542ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickcolor.py
new file mode 100644
index 00000000000..46d3cf45743
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickfont.py
new file mode 100644
index 00000000000..a2c9897b6e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformat.py
new file mode 100644
index 00000000000..739bbee8c11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..f1d8a01199a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="layout.ternary.caxis",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformatstops.py
new file mode 100644
index 00000000000..7f35c114ead
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="layout.ternary.caxis",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticklen.py
new file mode 100644
index 00000000000..cac2875a720
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickmode.py
new file mode 100644
index 00000000000..73aa100e35b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickprefix.py
new file mode 100644
index 00000000000..2deb2531add
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticks.py
new file mode 100644
index 00000000000..0afce0c38f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticksuffix.py
new file mode 100644
index 00000000000..4009f9e0860
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticktext.py
new file mode 100644
index 00000000000..8ae73d33243
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticktextsrc.py
new file mode 100644
index 00000000000..3fb6f5d233c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickvals.py
new file mode 100644
index 00000000000..5e3db2e4220
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickvalssrc.py
new file mode 100644
index 00000000000..146c1de74ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickwidth.py
new file mode 100644
index 00000000000..19117ae892b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_title.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_title.py
new file mode 100644
index 00000000000..513d561ef5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_title.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_uirevision.py
new file mode 100644
index 00000000000..80d8daa3b1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="layout.ternary.caxis", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/__init__.py
index 3b4a35d8011..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/__init__.py
@@ -1,52 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.ternary.caxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.ternary.caxis.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.ternary.caxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_color.py
new file mode 100644
index 00000000000..f7dc3423f7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.ternary.caxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_family.py
new file mode 100644
index 00000000000..71b17f505c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.ternary.caxis.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_size.py
new file mode 100644
index 00000000000..142faf2f761
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.ternary.caxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/__init__.py
index eb546a2ab20..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="layout.ternary.caxis.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.ternary.caxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.ternary.caxis.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="layout.ternary.caxis.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.ternary.caxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..597cd23a114
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.ternary.caxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..bab2649c35c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="layout.ternary.caxis.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..500a96b9ecf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.ternary.caxis.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..40e84a10c6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.ternary.caxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..84408657e15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="layout.ternary.caxis.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/__init__.py
index c6188d3ea84..b2feec4b68b 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/__init__.py
@@ -1,55 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="layout.ternary.caxis.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.ternary.caxis.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._text.TextValidator", "._font.FontValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/_font.py
new file mode 100644
index 00000000000..f8495a08186
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.ternary.caxis.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/_text.py
new file mode 100644
index 00000000000..67897240e57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="layout.ternary.caxis.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/__init__.py
index 4ac87536f4d..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.ternary.caxis.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.ternary.caxis.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.ternary.caxis.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_color.py
new file mode 100644
index 00000000000..63e02581875
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.ternary.caxis.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_family.py
new file mode 100644
index 00000000000..5e12481f996
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.ternary.caxis.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_size.py
new file mode 100644
index 00000000000..caf678dfecb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/caxis/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.ternary.caxis.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/domain/__init__.py b/packages/python/plotly/plotly/validators/layout/ternary/domain/__init__.py
index 3f5ec6e4be1..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/layout/ternary/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/ternary/domain/__init__.py
@@ -1,74 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.ternary.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.ternary.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="row", parent_name="layout.ternary.domain", **kwargs
-    ):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="column", parent_name="layout.ternary.domain", **kwargs
-    ):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/domain/_column.py b/packages/python/plotly/plotly/validators/layout/ternary/domain/_column.py
new file mode 100644
index 00000000000..5ae480d1ce5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/domain/_column.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="column", parent_name="layout.ternary.domain", **kwargs
+    ):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/domain/_row.py b/packages/python/plotly/plotly/validators/layout/ternary/domain/_row.py
new file mode 100644
index 00000000000..f74b4972078
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/domain/_row.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="row", parent_name="layout.ternary.domain", **kwargs
+    ):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/domain/_x.py b/packages/python/plotly/plotly/validators/layout/ternary/domain/_x.py
new file mode 100644
index 00000000000..df62b569f18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.ternary.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/ternary/domain/_y.py b/packages/python/plotly/plotly/validators/layout/ternary/domain/_y.py
new file mode 100644
index 00000000000..58eafce324d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/ternary/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.ternary.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/__init__.py b/packages/python/plotly/plotly/validators/layout/title/__init__.py
index 57a41033e9a..5b7f1545db4 100644
--- a/packages/python/plotly/plotly/validators/layout/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/title/__init__.py
@@ -1,173 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yref", parent_name="layout.title", **kwargs):
-        super(YrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["container", "paper"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="layout.title", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.title", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xref", parent_name="layout.title", **kwargs):
-        super(XrefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["container", "paper"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="layout.title", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.title", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="layout.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pad", parent_name="layout.title", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pad"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            b
-                The amount of padding (in px) along the bottom
-                of the component.
-            l
-                The amount of padding (in px) on the left side
-                of the component.
-            r
-                The amount of padding (in px) on the right side
-                of the component.
-            t
-                The amount of padding (in px) along the top of
-                the component.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yref import YrefValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xref import XrefValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._text import TextValidator
+    from ._pad import PadValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yref.YrefValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xref.XrefValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._text.TextValidator",
+            "._pad.PadValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_font.py b/packages/python/plotly/plotly/validators/layout/title/_font.py
new file mode 100644
index 00000000000..d4111028fad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_pad.py b/packages/python/plotly/plotly/validators/layout/title/_pad.py
new file mode 100644
index 00000000000..275713571d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_pad.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pad", parent_name="layout.title", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pad"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            b
+                The amount of padding (in px) along the bottom
+                of the component.
+            l
+                The amount of padding (in px) on the left side
+                of the component.
+            r
+                The amount of padding (in px) on the right side
+                of the component.
+            t
+                The amount of padding (in px) along the top of
+                the component.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_text.py b/packages/python/plotly/plotly/validators/layout/title/_text.py
new file mode 100644
index 00000000000..0fc0a3dd42d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="layout.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_x.py b/packages/python/plotly/plotly/validators/layout/title/_x.py
new file mode 100644
index 00000000000..9da0ff27cd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.title", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_xanchor.py b/packages/python/plotly/plotly/validators/layout/title/_xanchor.py
new file mode 100644
index 00000000000..ccc554ba999
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="layout.title", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_xref.py b/packages/python/plotly/plotly/validators/layout/title/_xref.py
new file mode 100644
index 00000000000..3593223eb2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_xref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xref", parent_name="layout.title", **kwargs):
+        super(XrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["container", "paper"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_y.py b/packages/python/plotly/plotly/validators/layout/title/_y.py
new file mode 100644
index 00000000000..078000729f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.title", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_yanchor.py b/packages/python/plotly/plotly/validators/layout/title/_yanchor.py
new file mode 100644
index 00000000000..27da1e4015f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="layout.title", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/_yref.py b/packages/python/plotly/plotly/validators/layout/title/_yref.py
new file mode 100644
index 00000000000..38326049ebf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/_yref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yref", parent_name="layout.title", **kwargs):
+        super(YrefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["container", "paper"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/title/font/__init__.py
index d5dbc43d28f..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/title/font/__init__.py
@@ -1,43 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="layout.title.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="layout.title.font", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.title.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/title/font/_color.py
new file mode 100644
index 00000000000..1c94b787bc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/font/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.title.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/title/font/_family.py
new file mode 100644
index 00000000000..23433535160
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/font/_family.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="layout.title.font", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/title/font/_size.py
new file mode 100644
index 00000000000..309fa569adf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/font/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="layout.title.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/pad/__init__.py b/packages/python/plotly/plotly/validators/layout/title/pad/__init__.py
index ad781d04ebd..7770792ed8c 100644
--- a/packages/python/plotly/plotly/validators/layout/title/pad/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/title/pad/__init__.py
@@ -1,54 +1,15 @@
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="t", parent_name="layout.title.pad", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="r", parent_name="layout.title.pad", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="l", parent_name="layout.title.pad", **kwargs):
-        super(LValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="b", parent_name="layout.title.pad", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._t import TValidator
+    from ._r import RValidator
+    from ._l import LValidator
+    from ._b import BValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._t.TValidator", "._r.RValidator", "._l.LValidator", "._b.BValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/title/pad/_b.py b/packages/python/plotly/plotly/validators/layout/title/pad/_b.py
new file mode 100644
index 00000000000..e1f5b464509
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/pad/_b.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="b", parent_name="layout.title.pad", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/pad/_l.py b/packages/python/plotly/plotly/validators/layout/title/pad/_l.py
new file mode 100644
index 00000000000..c62ad2975c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/pad/_l.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="l", parent_name="layout.title.pad", **kwargs):
+        super(LValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/pad/_r.py b/packages/python/plotly/plotly/validators/layout/title/pad/_r.py
new file mode 100644
index 00000000000..d58a4456221
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/pad/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="r", parent_name="layout.title.pad", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/title/pad/_t.py b/packages/python/plotly/plotly/validators/layout/title/pad/_t.py
new file mode 100644
index 00000000000..88b28a2a95c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/title/pad/_t.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="t", parent_name="layout.title.pad", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/transition/__init__.py b/packages/python/plotly/plotly/validators/layout/transition/__init__.py
index 5a4ce61ef21..0ea3a862ac3 100644
--- a/packages/python/plotly/plotly/validators/layout/transition/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/transition/__init__.py
@@ -1,87 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class OrderingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ordering", parent_name="layout.transition", **kwargs
-    ):
-        super(OrderingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["layout first", "traces first"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EasingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="easing", parent_name="layout.transition", **kwargs):
-        super(EasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "linear",
-                    "quad",
-                    "cubic",
-                    "sin",
-                    "exp",
-                    "circle",
-                    "elastic",
-                    "back",
-                    "bounce",
-                    "linear-in",
-                    "quad-in",
-                    "cubic-in",
-                    "sin-in",
-                    "exp-in",
-                    "circle-in",
-                    "elastic-in",
-                    "back-in",
-                    "bounce-in",
-                    "linear-out",
-                    "quad-out",
-                    "cubic-out",
-                    "sin-out",
-                    "exp-out",
-                    "circle-out",
-                    "elastic-out",
-                    "back-out",
-                    "bounce-out",
-                    "linear-in-out",
-                    "quad-in-out",
-                    "cubic-in-out",
-                    "sin-in-out",
-                    "exp-in-out",
-                    "circle-in-out",
-                    "elastic-in-out",
-                    "back-in-out",
-                    "bounce-in-out",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DurationValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="duration", parent_name="layout.transition", **kwargs
-    ):
-        super(DurationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ordering import OrderingValidator
+    from ._easing import EasingValidator
+    from ._duration import DurationValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ordering.OrderingValidator",
+            "._easing.EasingValidator",
+            "._duration.DurationValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/transition/_duration.py b/packages/python/plotly/plotly/validators/layout/transition/_duration.py
new file mode 100644
index 00000000000..6b2fd517ff9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/transition/_duration.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DurationValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="duration", parent_name="layout.transition", **kwargs
+    ):
+        super(DurationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/transition/_easing.py b/packages/python/plotly/plotly/validators/layout/transition/_easing.py
new file mode 100644
index 00000000000..83f37977688
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/transition/_easing.py
@@ -0,0 +1,53 @@
+import _plotly_utils.basevalidators
+
+
+class EasingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="easing", parent_name="layout.transition", **kwargs):
+        super(EasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "linear",
+                    "quad",
+                    "cubic",
+                    "sin",
+                    "exp",
+                    "circle",
+                    "elastic",
+                    "back",
+                    "bounce",
+                    "linear-in",
+                    "quad-in",
+                    "cubic-in",
+                    "sin-in",
+                    "exp-in",
+                    "circle-in",
+                    "elastic-in",
+                    "back-in",
+                    "bounce-in",
+                    "linear-out",
+                    "quad-out",
+                    "cubic-out",
+                    "sin-out",
+                    "exp-out",
+                    "circle-out",
+                    "elastic-out",
+                    "back-out",
+                    "bounce-out",
+                    "linear-in-out",
+                    "quad-in-out",
+                    "cubic-in-out",
+                    "sin-in-out",
+                    "exp-in-out",
+                    "circle-in-out",
+                    "elastic-in-out",
+                    "back-in-out",
+                    "bounce-in-out",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/transition/_ordering.py b/packages/python/plotly/plotly/validators/layout/transition/_ordering.py
new file mode 100644
index 00000000000..9616e498706
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/transition/_ordering.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OrderingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ordering", parent_name="layout.transition", **kwargs
+    ):
+        super(OrderingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["layout first", "traces first"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/uniformtext/__init__.py b/packages/python/plotly/plotly/validators/layout/uniformtext/__init__.py
index 752c945b9f9..8aac79a19a9 100644
--- a/packages/python/plotly/plotly/validators/layout/uniformtext/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/uniformtext/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._mode import ModeValidator
+    from ._minsize import MinsizeValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ModeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="mode", parent_name="layout.uniformtext", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [False, "hide", "show"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MinsizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="minsize", parent_name="layout.uniformtext", **kwargs
-    ):
-        super(MinsizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._mode.ModeValidator", "._minsize.MinsizeValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/uniformtext/_minsize.py b/packages/python/plotly/plotly/validators/layout/uniformtext/_minsize.py
new file mode 100644
index 00000000000..b0579e97a48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/uniformtext/_minsize.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MinsizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="minsize", parent_name="layout.uniformtext", **kwargs
+    ):
+        super(MinsizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/uniformtext/_mode.py b/packages/python/plotly/plotly/validators/layout/uniformtext/_mode.py
new file mode 100644
index 00000000000..7767f565daa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/uniformtext/_mode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="mode", parent_name="layout.uniformtext", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [False, "hide", "show"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/__init__.py b/packages/python/plotly/plotly/validators/layout/updatemenu/__init__.py
index df6ff4d5586..3d672bbce13 100644
--- a/packages/python/plotly/plotly/validators/layout/updatemenu/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/__init__.py
@@ -1,384 +1,48 @@
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="layout.updatemenu", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="layout.updatemenu", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.updatemenu", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["dropdown", "buttons"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowactiveValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showactive", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(ShowactiveValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pad", parent_name="layout.updatemenu", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pad"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            b
-                The amount of padding (in px) along the bottom
-                of the component.
-            l
-                The amount of padding (in px) on the left side
-                of the component.
-            r
-                The amount of padding (in px) on the right side
-                of the component.
-            t
-                The amount of padding (in px) along the top of
-                the component.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="layout.updatemenu", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.updatemenu", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="direction", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(DirectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["left", "right", "up", "down"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ButtonValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="buttondefaults", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(ButtonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Button"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ButtonsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="buttons", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(ButtonsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Button"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            args
-                Sets the arguments values to be passed to the
-                Plotly method set in `method` on click.
-            args2
-                Sets a 2nd set of `args`, these arguments
-                values are passed to the Plotly method set in
-                `method` when clicking this button while in the
-                active state. Use this to create toggle
-                buttons.
-            execute
-                When true, the API method is executed. When
-                false, all other behaviors are the same and
-                command execution is skipped. This may be
-                useful when hooking into, for example, the
-                `plotly_buttonclicked` method and executing the
-                API command manually without losing the benefit
-                of the updatemenu automatically binding to the
-                state of the plot through the specification of
-                `method` and `args`.
-            label
-                Sets the text label to appear on the button.
-            method
-                Sets the Plotly method to be called on click.
-                If the `skip` method is used, the API
-                updatemenu will function as normal but will
-                perform no API calls and will not bind
-                automatically to state updates. This may be
-                used to create a component interface and attach
-                to updatemenu events manually via JavaScript.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            visible
-                Determines whether or not this button is
-                visible.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.updatemenu", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ActiveValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="active", parent_name="layout.updatemenu", **kwargs):
-        super(ActiveValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._type import TypeValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._showactive import ShowactiveValidator
+    from ._pad import PadValidator
+    from ._name import NameValidator
+    from ._font import FontValidator
+    from ._direction import DirectionValidator
+    from ._buttondefaults import ButtondefaultsValidator
+    from ._buttons import ButtonsValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._active import ActiveValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._type.TypeValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._showactive.ShowactiveValidator",
+            "._pad.PadValidator",
+            "._name.NameValidator",
+            "._font.FontValidator",
+            "._direction.DirectionValidator",
+            "._buttondefaults.ButtondefaultsValidator",
+            "._buttons.ButtonsValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._active.ActiveValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_active.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_active.py
new file mode 100644
index 00000000000..c014ae2a793
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_active.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ActiveValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="active", parent_name="layout.updatemenu", **kwargs):
+        super(ActiveValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_bgcolor.py
new file mode 100644
index 00000000000..5b7690360ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_bordercolor.py
new file mode 100644
index 00000000000..fba4d31e5c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_borderwidth.py
new file mode 100644
index 00000000000..57214a44616
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_buttondefaults.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_buttondefaults.py
new file mode 100644
index 00000000000..c08aed3abab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_buttondefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ButtondefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="buttondefaults", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(ButtondefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Button"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_buttons.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_buttons.py
new file mode 100644
index 00000000000..e368d9ad9e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_buttons.py
@@ -0,0 +1,71 @@
+import _plotly_utils.basevalidators
+
+
+class ButtonsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="buttons", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(ButtonsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Button"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            args
+                Sets the arguments values to be passed to the
+                Plotly method set in `method` on click.
+            args2
+                Sets a 2nd set of `args`, these arguments
+                values are passed to the Plotly method set in
+                `method` when clicking this button while in the
+                active state. Use this to create toggle
+                buttons.
+            execute
+                When true, the API method is executed. When
+                false, all other behaviors are the same and
+                command execution is skipped. This may be
+                useful when hooking into, for example, the
+                `plotly_buttonclicked` method and executing the
+                API command manually without losing the benefit
+                of the updatemenu automatically binding to the
+                state of the plot through the specification of
+                `method` and `args`.
+            label
+                Sets the text label to appear on the button.
+            method
+                Sets the Plotly method to be called on click.
+                If the `skip` method is used, the API
+                updatemenu will function as normal but will
+                perform no API calls and will not bind
+                automatically to state updates. This may be
+                used to create a component interface and attach
+                to updatemenu events manually via JavaScript.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            visible
+                Determines whether or not this button is
+                visible.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_direction.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_direction.py
new file mode 100644
index 00000000000..491e3c831e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_direction.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="direction", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(DirectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["left", "right", "up", "down"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_font.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_font.py
new file mode 100644
index 00000000000..94814041dbf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.updatemenu", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_name.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_name.py
new file mode 100644
index 00000000000..c938420a25f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="layout.updatemenu", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_pad.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_pad.py
new file mode 100644
index 00000000000..3d71ebbb9e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_pad.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pad", parent_name="layout.updatemenu", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pad"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            b
+                The amount of padding (in px) along the bottom
+                of the component.
+            l
+                The amount of padding (in px) on the left side
+                of the component.
+            r
+                The amount of padding (in px) on the right side
+                of the component.
+            t
+                The amount of padding (in px) along the top of
+                the component.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_showactive.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_showactive.py
new file mode 100644
index 00000000000..9fa7e7db170
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_showactive.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowactiveValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showactive", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(ShowactiveValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_templateitemname.py
new file mode 100644
index 00000000000..1916488f5eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_type.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_type.py
new file mode 100644
index 00000000000..46deb8fe38d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.updatemenu", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["dropdown", "buttons"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_visible.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_visible.py
new file mode 100644
index 00000000000..c5dc1a77dbb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_x.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_x.py
new file mode 100644
index 00000000000..cf7aaacc882
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="layout.updatemenu", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_xanchor.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_xanchor.py
new file mode 100644
index 00000000000..82cd8f04ccd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_y.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_y.py
new file mode 100644
index 00000000000..2b7e3a64d77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="layout.updatemenu", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/_yanchor.py b/packages/python/plotly/plotly/validators/layout/updatemenu/_yanchor.py
new file mode 100644
index 00000000000..bb0674d9bd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="layout.updatemenu", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/__init__.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/__init__.py
index a22e82670fb..3e3fd2418a4 100644
--- a/packages/python/plotly/plotly/validators/layout/updatemenu/button/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/__init__.py
@@ -1,150 +1,28 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.updatemenu.button",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MethodValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="method", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(MethodValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["restyle", "relayout", "animate", "update", "skip"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="label", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExecuteValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="execute", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(ExecuteValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Args2Validator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="args2", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(Args2Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "arraydraw"},
-                    {"valType": "any", "editType": "arraydraw"},
-                    {"valType": "any", "editType": "arraydraw"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArgsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="args", parent_name="layout.updatemenu.button", **kwargs
-    ):
-        super(ArgsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "arraydraw"},
-                    {"valType": "any", "editType": "arraydraw"},
-                    {"valType": "any", "editType": "arraydraw"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._method import MethodValidator
+    from ._label import LabelValidator
+    from ._execute import ExecuteValidator
+    from ._args2 import Args2Validator
+    from ._args import ArgsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._method.MethodValidator",
+            "._label.LabelValidator",
+            "._execute.ExecuteValidator",
+            "._args2.Args2Validator",
+            "._args.ArgsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_args.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_args.py
new file mode 100644
index 00000000000..0cb1d109b48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_args.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class ArgsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="args", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(ArgsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "arraydraw"},
+                    {"valType": "any", "editType": "arraydraw"},
+                    {"valType": "any", "editType": "arraydraw"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_args2.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_args2.py
new file mode 100644
index 00000000000..e720084635f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_args2.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class Args2Validator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="args2", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(Args2Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "arraydraw"},
+                    {"valType": "any", "editType": "arraydraw"},
+                    {"valType": "any", "editType": "arraydraw"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_execute.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_execute.py
new file mode 100644
index 00000000000..063058dcd23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_execute.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ExecuteValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="execute", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(ExecuteValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_label.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_label.py
new file mode 100644
index 00000000000..6d6d70c5e68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_label.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="label", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_method.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_method.py
new file mode 100644
index 00000000000..e7b1d985ff8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_method.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class MethodValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="method", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(MethodValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["restyle", "relayout", "animate", "update", "skip"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_name.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_name.py
new file mode 100644
index 00000000000..c3d0f2ebfd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_templateitemname.py
new file mode 100644
index 00000000000..fa92902b044
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.updatemenu.button",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/button/_visible.py b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_visible.py
new file mode 100644
index 00000000000..efaa4f5eb56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/button/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.updatemenu.button", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/font/__init__.py b/packages/python/plotly/plotly/validators/layout/updatemenu/font/__init__.py
index ec4f375013c..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/updatemenu/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.updatemenu.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.updatemenu.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.updatemenu.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/font/_color.py b/packages/python/plotly/plotly/validators/layout/updatemenu/font/_color.py
new file mode 100644
index 00000000000..6f5ce02931f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.updatemenu.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/font/_family.py b/packages/python/plotly/plotly/validators/layout/updatemenu/font/_family.py
new file mode 100644
index 00000000000..fb8d2a32415
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.updatemenu.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/font/_size.py b/packages/python/plotly/plotly/validators/layout/updatemenu/font/_size.py
new file mode 100644
index 00000000000..104e9c6693f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.updatemenu.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/pad/__init__.py b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/__init__.py
index 1a13c38a10b..7770792ed8c 100644
--- a/packages/python/plotly/plotly/validators/layout/updatemenu/pad/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/__init__.py
@@ -1,54 +1,15 @@
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="t", parent_name="layout.updatemenu.pad", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="r", parent_name="layout.updatemenu.pad", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="l", parent_name="layout.updatemenu.pad", **kwargs):
-        super(LValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="b", parent_name="layout.updatemenu.pad", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "arraydraw"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._t import TValidator
+    from ._r import RValidator
+    from ._l import LValidator
+    from ._b import BValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._t.TValidator", "._r.RValidator", "._l.LValidator", "._b.BValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_b.py b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_b.py
new file mode 100644
index 00000000000..00962aad253
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_b.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="b", parent_name="layout.updatemenu.pad", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_l.py b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_l.py
new file mode 100644
index 00000000000..7719e801fae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_l.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="l", parent_name="layout.updatemenu.pad", **kwargs):
+        super(LValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_r.py b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_r.py
new file mode 100644
index 00000000000..75dd701b85f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="r", parent_name="layout.updatemenu.pad", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_t.py b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_t.py
new file mode 100644
index 00000000000..4befabbc5ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/updatemenu/pad/_t.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="t", parent_name="layout.updatemenu.pad", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "arraydraw"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/__init__.py
index ada65ac7f73..aa1bb3309fe 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/__init__.py
@@ -1,1444 +1,162 @@
-import _plotly_utils.basevalidators
-
-
-class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="zerolinewidth", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ZerolinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="zerolinecolor", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ZerolinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zeroline", parent_name="layout.xaxis", **kwargs):
-        super(ZerolineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="layout.xaxis", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.xaxis", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.xaxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["-", "linear", "log", "date", "category", "multicategory"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout.xaxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            standoff
-                Sets the standoff distance (in px) between the
-                axis labels and the title text The default
-                value is a function of the axis tick labels,
-                the title `font.size` and the axis `linewidth`.
-                Note that the axis title position is always
-                constrained within the margins, so the actual
-                standoff distance is always less than the set
-                or default value. By setting `standoff` and
-                turning on `automargin`, plotly.js will push
-                the margins to fit the axis title at given
-                standoff distance.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tickwidth", parent_name="layout.xaxis", **kwargs):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tickvalssrc", parent_name="layout.xaxis", **kwargs):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="layout.xaxis", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ticktextsrc", parent_name="layout.xaxis", **kwargs):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="layout.xaxis", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="ticksuffix", parent_name="layout.xaxis", **kwargs):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksonValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickson", parent_name="layout.xaxis", **kwargs):
-        super(TicksonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["labels", "boundaries"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="layout.xaxis", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickprefix", parent_name="layout.xaxis", **kwargs):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="layout.xaxis", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="layout.xaxis", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickformatstopdefaults", parent_name="layout.xaxis", **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="layout.xaxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickformat", parent_name="layout.xaxis", **kwargs):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="layout.xaxis", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="tickcolor", parent_name="layout.xaxis", **kwargs):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="tickangle", parent_name="layout.xaxis", **kwargs):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.xaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="spikethickness", parent_name="layout.xaxis", **kwargs
-    ):
-        super(SpikethicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikesnapValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="spikesnap", parent_name="layout.xaxis", **kwargs):
-        super(SpikesnapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["data", "cursor", "hovered data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikemodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="spikemode", parent_name="layout.xaxis", **kwargs):
-        super(SpikemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            flags=kwargs.pop("flags", ["toaxis", "across", "marker"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikedashValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="spikedash", parent_name="layout.xaxis", **kwargs):
-        super(SpikedashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="spikecolor", parent_name="layout.xaxis", **kwargs):
-        super(SpikecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="side", parent_name="layout.xaxis", **kwargs):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top", "bottom", "left", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showspikes", parent_name="layout.xaxis", **kwargs):
-        super(ShowspikesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showline", parent_name="layout.xaxis", **kwargs):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showgrid", parent_name="layout.xaxis", **kwargs):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowdividersValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showdividers", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ShowdividersValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="layout.xaxis", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleratioValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="scaleratio", parent_name="layout.xaxis", **kwargs):
-        super(ScaleratioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="scaleanchor", parent_name="layout.xaxis", **kwargs):
-        super(ScaleanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangesliderValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="rangeslider", parent_name="layout.xaxis", **kwargs):
-        super(RangesliderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangeslider"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autorange
-                Determines whether or not the range slider
-                range is computed in relation to the input
-                data. If `range` is provided, then `autorange`
-                is set to False.
-            bgcolor
-                Sets the background color of the range slider.
-            bordercolor
-                Sets the border color of the range slider.
-            borderwidth
-                Sets the border width of the range slider.
-            range
-                Sets the range of the range slider. If not set,
-                defaults to the full xaxis range. If the axis
-                `type` is "log", then you must take the log of
-                your desired range. If the axis `type` is
-                "date", it should be date strings, like date
-                data, though Date objects and unix milliseconds
-                will be accepted and converted to strings. If
-                the axis `type` is "category", it should be
-                numbers, using the scale where each category is
-                assigned a serial number from zero in the order
-                it appears.
-            thickness
-                The height of the range slider as a fraction of
-                the total plot area height.
-            visible
-                Determines whether or not the range slider will
-                be visible. If visible, perpendicular axes will
-                be set to `fixedrange`
-            yaxis
-                :class:`plotly.graph_objects.layout.xaxis.range
-                slider.YAxis` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeselectorValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="rangeselector", parent_name="layout.xaxis", **kwargs
-    ):
-        super(RangeselectorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangeselector"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            activecolor
-                Sets the background color of the active range
-                selector button.
-            bgcolor
-                Sets the background color of the range selector
-                buttons.
-            bordercolor
-                Sets the color of the border enclosing the
-                range selector.
-            borderwidth
-                Sets the width (in px) of the border enclosing
-                the range selector.
-            buttons
-                Sets the specifications for each buttons. By
-                default, a range selector comes with no
-                buttons.
-            buttondefaults
-                When used in a template (as layout.template.lay
-                out.xaxis.rangeselector.buttondefaults), sets
-                the default property values to use for elements
-                of layout.xaxis.rangeselector.buttons
-            font
-                Sets the font of the range selector button
-                text.
-            visible
-                Determines whether or not this range selector
-                is visible. Note that range selectors are only
-                available for x axes of `type` set to or auto-
-                typed to "date".
-            x
-                Sets the x position (in normalized coordinates)
-                of the range selector.
-            xanchor
-                Sets the range selector's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the range
-                selector.
-            y
-                Sets the y position (in normalized coordinates)
-                of the range selector.
-            yanchor
-                Sets the range selector's vertical position
-                anchor This anchor binds the `y` position to
-                the "top", "middle" or "bottom" of the range
-                selector.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="rangemode", parent_name="layout.xaxis", **kwargs):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangebreakValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="rangebreakdefaults", parent_name="layout.xaxis", **kwargs
-    ):
-        super(RangebreakValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangebreaksValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="rangebreaks", parent_name="layout.xaxis", **kwargs):
-        super(RangebreaksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bounds
-                Sets the lower and upper bounds of this axis
-                rangebreak. Can be used with `pattern`.
-            dvalue
-                Sets the size of each `values` item. The
-                default is one day in milliseconds.
-            enabled
-                Determines whether this axis rangebreak is
-                enabled or disabled. Please note that
-                `rangebreaks` only work for "date" axis type.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            pattern
-                Determines a pattern on the time line that
-                generates breaks. If *day of week* - days of
-                the week in English e.g. 'Sunday' or `sun`
-                (matching is case-insensitive and considers
-                only the first three characters), as well as
-                Sunday-based integers between 0 and 6. If
-                "hour" - hour (24-hour clock) as decimal
-                numbers between 0 and 24. for more info.
-                Examples: - { pattern: 'day of week', bounds:
-                [6, 1] }  or simply { bounds: ['sat', 'mon'] }
-                breaks from Saturday to Monday (i.e. skips the
-                weekends). - { pattern: 'hour', bounds: [17, 8]
-                }   breaks from 5pm to 8am (i.e. skips non-work
-                hours).
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            values
-                Sets the coordinate values corresponding to the
-                rangebreaks. An alternative to `bounds`. Use
-                `dvalue` to set the size of the values along
-                the axis.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.xaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "axrange"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "axrange",
-                        "impliedEdits": {"^autorange": False},
-                        "anim": True,
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "axrange",
-                        "impliedEdits": {"^autorange": False},
-                        "anim": True,
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PositionValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="position", parent_name="layout.xaxis", **kwargs):
-        super(PositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OverlayingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="overlaying", parent_name="layout.xaxis", **kwargs):
-        super(OverlayingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="layout.xaxis", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="mirror", parent_name="layout.xaxis", **kwargs):
-        super(MirrorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MatchesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="matches", parent_name="layout.xaxis", **kwargs):
-        super(MatchesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="linewidth", parent_name="layout.xaxis", **kwargs):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="linecolor", parent_name="layout.xaxis", **kwargs):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="layer", parent_name="layout.xaxis", **kwargs):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hoverformat", parent_name="layout.xaxis", **kwargs):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="gridwidth", parent_name="layout.xaxis", **kwargs):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="gridcolor", parent_name="layout.xaxis", **kwargs):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="fixedrange", parent_name="layout.xaxis", **kwargs):
-        super(FixedrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.xaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.xaxis", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DividerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="dividerwidth", parent_name="layout.xaxis", **kwargs
-    ):
-        super(DividerwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DividercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="dividercolor", parent_name="layout.xaxis", **kwargs
-    ):
-        super(DividercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstraintowardValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="constraintoward", parent_name="layout.xaxis", **kwargs
-    ):
-        super(ConstraintowardValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["left", "center", "right", "top", "middle", "bottom"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstrainValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="constrain", parent_name="layout.xaxis", **kwargs):
-        super(ConstrainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["range", "domain"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.xaxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="layout.xaxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="layout.xaxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="layout.xaxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="calendar", parent_name="layout.xaxis", **kwargs):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="autorange", parent_name="layout.xaxis", **kwargs):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "axrange"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutomarginValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="automargin", parent_name="layout.xaxis", **kwargs):
-        super(AutomarginValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="anchor", parent_name="layout.xaxis", **kwargs):
-        super(AnchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zerolinewidth import ZerolinewidthValidator
+    from ._zerolinecolor import ZerolinecolorValidator
+    from ._zeroline import ZerolineValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._tickson import TicksonValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._spikethickness import SpikethicknessValidator
+    from ._spikesnap import SpikesnapValidator
+    from ._spikemode import SpikemodeValidator
+    from ._spikedash import SpikedashValidator
+    from ._spikecolor import SpikecolorValidator
+    from ._side import SideValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showspikes import ShowspikesValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._showdividers import ShowdividersValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._scaleratio import ScaleratioValidator
+    from ._scaleanchor import ScaleanchorValidator
+    from ._rangeslider import RangesliderValidator
+    from ._rangeselector import RangeselectorValidator
+    from ._rangemode import RangemodeValidator
+    from ._rangebreakdefaults import RangebreakdefaultsValidator
+    from ._rangebreaks import RangebreaksValidator
+    from ._range import RangeValidator
+    from ._position import PositionValidator
+    from ._overlaying import OverlayingValidator
+    from ._nticks import NticksValidator
+    from ._mirror import MirrorValidator
+    from ._matches import MatchesValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._fixedrange import FixedrangeValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._domain import DomainValidator
+    from ._dividerwidth import DividerwidthValidator
+    from ._dividercolor import DividercolorValidator
+    from ._constraintoward import ConstraintowardValidator
+    from ._constrain import ConstrainValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._calendar import CalendarValidator
+    from ._autorange import AutorangeValidator
+    from ._automargin import AutomarginValidator
+    from ._anchor import AnchorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zerolinewidth.ZerolinewidthValidator",
+            "._zerolinecolor.ZerolinecolorValidator",
+            "._zeroline.ZerolineValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._tickson.TicksonValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._spikethickness.SpikethicknessValidator",
+            "._spikesnap.SpikesnapValidator",
+            "._spikemode.SpikemodeValidator",
+            "._spikedash.SpikedashValidator",
+            "._spikecolor.SpikecolorValidator",
+            "._side.SideValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showspikes.ShowspikesValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._showdividers.ShowdividersValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._scaleratio.ScaleratioValidator",
+            "._scaleanchor.ScaleanchorValidator",
+            "._rangeslider.RangesliderValidator",
+            "._rangeselector.RangeselectorValidator",
+            "._rangemode.RangemodeValidator",
+            "._rangebreakdefaults.RangebreakdefaultsValidator",
+            "._rangebreaks.RangebreaksValidator",
+            "._range.RangeValidator",
+            "._position.PositionValidator",
+            "._overlaying.OverlayingValidator",
+            "._nticks.NticksValidator",
+            "._mirror.MirrorValidator",
+            "._matches.MatchesValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._fixedrange.FixedrangeValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._domain.DomainValidator",
+            "._dividerwidth.DividerwidthValidator",
+            "._dividercolor.DividercolorValidator",
+            "._constraintoward.ConstraintowardValidator",
+            "._constrain.ConstrainValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._calendar.CalendarValidator",
+            "._autorange.AutorangeValidator",
+            "._automargin.AutomarginValidator",
+            "._anchor.AnchorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_anchor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_anchor.py
new file mode 100644
index 00000000000..a9e482a0010
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_anchor.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AnchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="anchor", parent_name="layout.xaxis", **kwargs):
+        super(AnchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_automargin.py b/packages/python/plotly/plotly/validators/layout/xaxis/_automargin.py
new file mode 100644
index 00000000000..e05ad68ffef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_automargin.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutomarginValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="automargin", parent_name="layout.xaxis", **kwargs):
+        super(AutomarginValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_autorange.py b/packages/python/plotly/plotly/validators/layout/xaxis/_autorange.py
new file mode 100644
index 00000000000..aea49f1b107
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_autorange.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="autorange", parent_name="layout.xaxis", **kwargs):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "axrange"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_calendar.py b/packages/python/plotly/plotly/validators/layout/xaxis/_calendar.py
new file mode 100644
index 00000000000..511f5f564f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_calendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="calendar", parent_name="layout.xaxis", **kwargs):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/xaxis/_categoryarray.py
new file mode 100644
index 00000000000..834987c877d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="layout.xaxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/xaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..07bf7f8300d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="layout.xaxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/xaxis/_categoryorder.py
new file mode 100644
index 00000000000..fd5dff24462
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_categoryorder.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="layout.xaxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_color.py b/packages/python/plotly/plotly/validators/layout/xaxis/_color.py
new file mode 100644
index 00000000000..cd7516388ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.xaxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_constrain.py b/packages/python/plotly/plotly/validators/layout/xaxis/_constrain.py
new file mode 100644
index 00000000000..e6ee931b5e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_constrain.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ConstrainValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="constrain", parent_name="layout.xaxis", **kwargs):
+        super(ConstrainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["range", "domain"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_constraintoward.py b/packages/python/plotly/plotly/validators/layout/xaxis/_constraintoward.py
new file mode 100644
index 00000000000..3be5a13cdb0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_constraintoward.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ConstraintowardValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="constraintoward", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ConstraintowardValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["left", "center", "right", "top", "middle", "bottom"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_dividercolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_dividercolor.py
new file mode 100644
index 00000000000..d4607df8142
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_dividercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DividercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="dividercolor", parent_name="layout.xaxis", **kwargs
+    ):
+        super(DividercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_dividerwidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/_dividerwidth.py
new file mode 100644
index 00000000000..49707bfa416
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_dividerwidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DividerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="dividerwidth", parent_name="layout.xaxis", **kwargs
+    ):
+        super(DividerwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_domain.py b/packages/python/plotly/plotly/validators/layout/xaxis/_domain.py
new file mode 100644
index 00000000000..d1be6edbdb5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_domain.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.xaxis", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/xaxis/_dtick.py
new file mode 100644
index 00000000000..ac6b2edeae4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.xaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/xaxis/_exponentformat.py
new file mode 100644
index 00000000000..573f646c350
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_fixedrange.py b/packages/python/plotly/plotly/validators/layout/xaxis/_fixedrange.py
new file mode 100644
index 00000000000..425e537a6b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_fixedrange.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="fixedrange", parent_name="layout.xaxis", **kwargs):
+        super(FixedrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_gridcolor.py
new file mode 100644
index 00000000000..445c18227d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_gridcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="gridcolor", parent_name="layout.xaxis", **kwargs):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/_gridwidth.py
new file mode 100644
index 00000000000..209a25b982a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_gridwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="gridwidth", parent_name="layout.xaxis", **kwargs):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/xaxis/_hoverformat.py
new file mode 100644
index 00000000000..023fa92730b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_hoverformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hoverformat", parent_name="layout.xaxis", **kwargs):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_layer.py b/packages/python/plotly/plotly/validators/layout/xaxis/_layer.py
new file mode 100644
index 00000000000..cfc6a9334de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_layer.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="layer", parent_name="layout.xaxis", **kwargs):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_linecolor.py
new file mode 100644
index 00000000000..f3ef5bc7bc0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_linecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="linecolor", parent_name="layout.xaxis", **kwargs):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/_linewidth.py
new file mode 100644
index 00000000000..d82850d4ea9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_linewidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="linewidth", parent_name="layout.xaxis", **kwargs):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_matches.py b/packages/python/plotly/plotly/validators/layout/xaxis/_matches.py
new file mode 100644
index 00000000000..576055861cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_matches.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MatchesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="matches", parent_name="layout.xaxis", **kwargs):
+        super(MatchesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_mirror.py b/packages/python/plotly/plotly/validators/layout/xaxis/_mirror.py
new file mode 100644
index 00000000000..475c3cc6278
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_mirror.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="mirror", parent_name="layout.xaxis", **kwargs):
+        super(MirrorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/xaxis/_nticks.py
new file mode 100644
index 00000000000..f030822ad87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="layout.xaxis", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_overlaying.py b/packages/python/plotly/plotly/validators/layout/xaxis/_overlaying.py
new file mode 100644
index 00000000000..8e2de6ae8b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_overlaying.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OverlayingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="overlaying", parent_name="layout.xaxis", **kwargs):
+        super(OverlayingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_position.py b/packages/python/plotly/plotly/validators/layout/xaxis/_position.py
new file mode 100644
index 00000000000..1c5c1b4e4d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_position.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PositionValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="position", parent_name="layout.xaxis", **kwargs):
+        super(PositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_range.py b/packages/python/plotly/plotly/validators/layout/xaxis/_range.py
new file mode 100644
index 00000000000..edc557cd6ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_range.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.xaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "axrange"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "axrange",
+                        "impliedEdits": {"^autorange": False},
+                        "anim": True,
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "axrange",
+                        "impliedEdits": {"^autorange": False},
+                        "anim": True,
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_rangebreakdefaults.py b/packages/python/plotly/plotly/validators/layout/xaxis/_rangebreakdefaults.py
new file mode 100644
index 00000000000..63d59d8252e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_rangebreakdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class RangebreakdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="rangebreakdefaults", parent_name="layout.xaxis", **kwargs
+    ):
+        super(RangebreakdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_rangebreaks.py b/packages/python/plotly/plotly/validators/layout/xaxis/_rangebreaks.py
new file mode 100644
index 00000000000..ff5299a6ce9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_rangebreaks.py
@@ -0,0 +1,67 @@
+import _plotly_utils.basevalidators
+
+
+class RangebreaksValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="rangebreaks", parent_name="layout.xaxis", **kwargs):
+        super(RangebreaksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bounds
+                Sets the lower and upper bounds of this axis
+                rangebreak. Can be used with `pattern`.
+            dvalue
+                Sets the size of each `values` item. The
+                default is one day in milliseconds.
+            enabled
+                Determines whether this axis rangebreak is
+                enabled or disabled. Please note that
+                `rangebreaks` only work for "date" axis type.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            pattern
+                Determines a pattern on the time line that
+                generates breaks. If *day of week* - days of
+                the week in English e.g. 'Sunday' or `sun`
+                (matching is case-insensitive and considers
+                only the first three characters), as well as
+                Sunday-based integers between 0 and 6. If
+                "hour" - hour (24-hour clock) as decimal
+                numbers between 0 and 24. for more info.
+                Examples: - { pattern: 'day of week', bounds:
+                [6, 1] }  or simply { bounds: ['sat', 'mon'] }
+                breaks from Saturday to Monday (i.e. skips the
+                weekends). - { pattern: 'hour', bounds: [17, 8]
+                }   breaks from 5pm to 8am (i.e. skips non-work
+                hours).
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            values
+                Sets the coordinate values corresponding to the
+                rangebreaks. An alternative to `bounds`. Use
+                `dvalue` to set the size of the values along
+                the axis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/xaxis/_rangemode.py
new file mode 100644
index 00000000000..ec9ffa52167
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_rangemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="rangemode", parent_name="layout.xaxis", **kwargs):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_rangeselector.py b/packages/python/plotly/plotly/validators/layout/xaxis/_rangeselector.py
new file mode 100644
index 00000000000..e954f2781f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_rangeselector.py
@@ -0,0 +1,63 @@
+import _plotly_utils.basevalidators
+
+
+class RangeselectorValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="rangeselector", parent_name="layout.xaxis", **kwargs
+    ):
+        super(RangeselectorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangeselector"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            activecolor
+                Sets the background color of the active range
+                selector button.
+            bgcolor
+                Sets the background color of the range selector
+                buttons.
+            bordercolor
+                Sets the color of the border enclosing the
+                range selector.
+            borderwidth
+                Sets the width (in px) of the border enclosing
+                the range selector.
+            buttons
+                Sets the specifications for each buttons. By
+                default, a range selector comes with no
+                buttons.
+            buttondefaults
+                When used in a template (as layout.template.lay
+                out.xaxis.rangeselector.buttondefaults), sets
+                the default property values to use for elements
+                of layout.xaxis.rangeselector.buttons
+            font
+                Sets the font of the range selector button
+                text.
+            visible
+                Determines whether or not this range selector
+                is visible. Note that range selectors are only
+                available for x axes of `type` set to or auto-
+                typed to "date".
+            x
+                Sets the x position (in normalized coordinates)
+                of the range selector.
+            xanchor
+                Sets the range selector's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the range
+                selector.
+            y
+                Sets the y position (in normalized coordinates)
+                of the range selector.
+            yanchor
+                Sets the range selector's vertical position
+                anchor This anchor binds the `y` position to
+                the "top", "middle" or "bottom" of the range
+                selector.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_rangeslider.py b/packages/python/plotly/plotly/validators/layout/xaxis/_rangeslider.py
new file mode 100644
index 00000000000..e2a01773de4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_rangeslider.py
@@ -0,0 +1,50 @@
+import _plotly_utils.basevalidators
+
+
+class RangesliderValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="rangeslider", parent_name="layout.xaxis", **kwargs):
+        super(RangesliderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangeslider"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autorange
+                Determines whether or not the range slider
+                range is computed in relation to the input
+                data. If `range` is provided, then `autorange`
+                is set to False.
+            bgcolor
+                Sets the background color of the range slider.
+            bordercolor
+                Sets the border color of the range slider.
+            borderwidth
+                Sets the border width of the range slider.
+            range
+                Sets the range of the range slider. If not set,
+                defaults to the full xaxis range. If the axis
+                `type` is "log", then you must take the log of
+                your desired range. If the axis `type` is
+                "date", it should be date strings, like date
+                data, though Date objects and unix milliseconds
+                will be accepted and converted to strings. If
+                the axis `type` is "category", it should be
+                numbers, using the scale where each category is
+                assigned a serial number from zero in the order
+                it appears.
+            thickness
+                The height of the range slider as a fraction of
+                the total plot area height.
+            visible
+                Determines whether or not the range slider will
+                be visible. If visible, perpendicular axes will
+                be set to `fixedrange`
+            yaxis
+                :class:`plotly.graph_objects.layout.xaxis.range
+                slider.YAxis` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_scaleanchor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_scaleanchor.py
new file mode 100644
index 00000000000..b367a2945ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_scaleanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="scaleanchor", parent_name="layout.xaxis", **kwargs):
+        super(ScaleanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_scaleratio.py b/packages/python/plotly/plotly/validators/layout/xaxis/_scaleratio.py
new file mode 100644
index 00000000000..4fa93898c54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_scaleratio.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleratioValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="scaleratio", parent_name="layout.xaxis", **kwargs):
+        super(ScaleratioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/xaxis/_separatethousands.py
new file mode 100644
index 00000000000..536e3a158d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="layout.xaxis", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showdividers.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showdividers.py
new file mode 100644
index 00000000000..36f72dc53b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showdividers.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowdividersValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showdividers", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ShowdividersValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showexponent.py
new file mode 100644
index 00000000000..61b162d8f7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showgrid.py
new file mode 100644
index 00000000000..085dc56975a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showgrid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showgrid", parent_name="layout.xaxis", **kwargs):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showline.py
new file mode 100644
index 00000000000..9fe7f1917cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showline", parent_name="layout.xaxis", **kwargs):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showspikes.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showspikes.py
new file mode 100644
index 00000000000..76c481ec0f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showspikes.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showspikes", parent_name="layout.xaxis", **kwargs):
+        super(ShowspikesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showticklabels.py
new file mode 100644
index 00000000000..4c50ba47826
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showtickprefix.py
new file mode 100644
index 00000000000..de2edb9751e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/xaxis/_showticksuffix.py
new file mode 100644
index 00000000000..329957edc52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_side.py b/packages/python/plotly/plotly/validators/layout/xaxis/_side.py
new file mode 100644
index 00000000000..1069ab88972
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_side.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="side", parent_name="layout.xaxis", **kwargs):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top", "bottom", "left", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_spikecolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_spikecolor.py
new file mode 100644
index 00000000000..84ee97aeb4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_spikecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="spikecolor", parent_name="layout.xaxis", **kwargs):
+        super(SpikecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_spikedash.py b/packages/python/plotly/plotly/validators/layout/xaxis/_spikedash.py
new file mode 100644
index 00000000000..f51e08d918f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_spikedash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SpikedashValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="spikedash", parent_name="layout.xaxis", **kwargs):
+        super(SpikedashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_spikemode.py b/packages/python/plotly/plotly/validators/layout/xaxis/_spikemode.py
new file mode 100644
index 00000000000..a2b697f13b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_spikemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SpikemodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="spikemode", parent_name="layout.xaxis", **kwargs):
+        super(SpikemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            flags=kwargs.pop("flags", ["toaxis", "across", "marker"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_spikesnap.py b/packages/python/plotly/plotly/validators/layout/xaxis/_spikesnap.py
new file mode 100644
index 00000000000..5bfde1f37f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_spikesnap.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SpikesnapValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="spikesnap", parent_name="layout.xaxis", **kwargs):
+        super(SpikesnapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["data", "cursor", "hovered data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_spikethickness.py b/packages/python/plotly/plotly/validators/layout/xaxis/_spikethickness.py
new file mode 100644
index 00000000000..c0e9ab9bd3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_spikethickness.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="spikethickness", parent_name="layout.xaxis", **kwargs
+    ):
+        super(SpikethicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tick0.py
new file mode 100644
index 00000000000..ae3c7171747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.xaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickangle.py
new file mode 100644
index 00000000000..9fbd6308f63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="tickangle", parent_name="layout.xaxis", **kwargs):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickcolor.py
new file mode 100644
index 00000000000..8f0af0926ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="tickcolor", parent_name="layout.xaxis", **kwargs):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickfont.py
new file mode 100644
index 00000000000..5a01f460ec0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="layout.xaxis", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickformat.py
new file mode 100644
index 00000000000..fc60c128a7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickformat", parent_name="layout.xaxis", **kwargs):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..a9189ae00c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickformatstopdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickformatstopdefaults", parent_name="layout.xaxis", **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickformatstops.py
new file mode 100644
index 00000000000..122782367d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="layout.xaxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/xaxis/_ticklen.py
new file mode 100644
index 00000000000..6e26aece7d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="layout.xaxis", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickmode.py
new file mode 100644
index 00000000000..a432a008aff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="layout.xaxis", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickprefix.py
new file mode 100644
index 00000000000..fb4f38f6696
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickprefix", parent_name="layout.xaxis", **kwargs):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/xaxis/_ticks.py
new file mode 100644
index 00000000000..4af5ef0496e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="layout.xaxis", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickson.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickson.py
new file mode 100644
index 00000000000..cf4038fda8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickson.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksonValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickson", parent_name="layout.xaxis", **kwargs):
+        super(TicksonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["labels", "boundaries"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/xaxis/_ticksuffix.py
new file mode 100644
index 00000000000..76d2348170f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_ticksuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="ticksuffix", parent_name="layout.xaxis", **kwargs):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/xaxis/_ticktext.py
new file mode 100644
index 00000000000..ce8757af51f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="layout.xaxis", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/xaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..9cbfef5ae82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_ticktextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ticktextsrc", parent_name="layout.xaxis", **kwargs):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickvals.py
new file mode 100644
index 00000000000..cccdad534cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="layout.xaxis", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..851b0a48872
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickvalssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tickvalssrc", parent_name="layout.xaxis", **kwargs):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/_tickwidth.py
new file mode 100644
index 00000000000..8e7e23c1593
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_tickwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tickwidth", parent_name="layout.xaxis", **kwargs):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_title.py b/packages/python/plotly/plotly/validators/layout/xaxis/_title.py
new file mode 100644
index 00000000000..4b2be40b384
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_title.py
@@ -0,0 +1,38 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout.xaxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            standoff
+                Sets the standoff distance (in px) between the
+                axis labels and the title text The default
+                value is a function of the axis tick labels,
+                the title `font.size` and the axis `linewidth`.
+                Note that the axis title position is always
+                constrained within the margins, so the actual
+                standoff distance is always less than the set
+                or default value. By setting `standoff` and
+                turning on `automargin`, plotly.js will push
+                the margins to fit the axis title at given
+                standoff distance.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_type.py b/packages/python/plotly/plotly/validators/layout/xaxis/_type.py
new file mode 100644
index 00000000000..eb57d026a7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.xaxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["-", "linear", "log", "date", "category", "multicategory"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/xaxis/_uirevision.py
new file mode 100644
index 00000000000..16457370d6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.xaxis", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/xaxis/_visible.py
new file mode 100644
index 00000000000..1454b8276cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="layout.xaxis", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_zeroline.py b/packages/python/plotly/plotly/validators/layout/xaxis/_zeroline.py
new file mode 100644
index 00000000000..fb8c829df73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_zeroline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zeroline", parent_name="layout.xaxis", **kwargs):
+        super(ZerolineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinecolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinecolor.py
new file mode 100644
index 00000000000..5ad25d69320
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="zerolinecolor", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ZerolinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinewidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinewidth.py
new file mode 100644
index 00000000000..4d78a8fbd91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="zerolinewidth", parent_name="layout.xaxis", **kwargs
+    ):
+        super(ZerolinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/__init__.py
index f60619813cf..ff88d698be8 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/__init__.py
@@ -1,124 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="values", parent_name="layout.xaxis.rangebreak", **kwargs
-    ):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop("items", {"valType": "any", "editType": "calc"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.xaxis.rangebreak",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PatternValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="pattern", parent_name="layout.xaxis.rangebreak", **kwargs
-    ):
-        super(PatternValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["day of week", "hour", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="layout.xaxis.rangebreak", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="layout.xaxis.rangebreak", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DvalueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="dvalue", parent_name="layout.xaxis.rangebreak", **kwargs
-    ):
-        super(DvalueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoundsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="bounds", parent_name="layout.xaxis.rangebreak", **kwargs
-    ):
-        super(BoundsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._values import ValuesValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._pattern import PatternValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dvalue import DvalueValidator
+    from ._bounds import BoundsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._values.ValuesValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._pattern.PatternValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dvalue.DvalueValidator",
+            "._bounds.BoundsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_bounds.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_bounds.py
new file mode 100644
index 00000000000..365d1c098e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_bounds.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class BoundsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="bounds", parent_name="layout.xaxis.rangebreak", **kwargs
+    ):
+        super(BoundsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_dvalue.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_dvalue.py
new file mode 100644
index 00000000000..34f45cbc291
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_dvalue.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DvalueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="dvalue", parent_name="layout.xaxis.rangebreak", **kwargs
+    ):
+        super(DvalueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_enabled.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_enabled.py
new file mode 100644
index 00000000000..1674ddc8ebe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="layout.xaxis.rangebreak", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_name.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_name.py
new file mode 100644
index 00000000000..3f1589b41b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="layout.xaxis.rangebreak", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_pattern.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_pattern.py
new file mode 100644
index 00000000000..a87358fbe7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_pattern.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class PatternValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="pattern", parent_name="layout.xaxis.rangebreak", **kwargs
+    ):
+        super(PatternValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["day of week", "hour", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_templateitemname.py
new file mode 100644
index 00000000000..70c20172e95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.xaxis.rangebreak",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_values.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_values.py
new file mode 100644
index 00000000000..d69f68d391a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangebreak/_values.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="values", parent_name="layout.xaxis.rangebreak", **kwargs
+    ):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop("items", {"valType": "any", "editType": "calc"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/__init__.py
index 1cb1ceed14b..eb942612170 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/__init__.py
@@ -1,287 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ButtonValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="buttondefaults",
-        parent_name="layout.xaxis.rangeselector",
-        **kwargs
-    ):
-        super(ButtonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Button"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ButtonsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="buttons", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(ButtonsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Button"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            count
-                Sets the number of steps to take to update the
-                range. Use with `step` to specify the update
-                interval.
-            label
-                Sets the text label to appear on the button.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            step
-                The unit of measurement that the `count` value
-                will set the range by.
-            stepmode
-                Sets the range update mode. If "backward", the
-                range update shifts the start of range back
-                "count" times "step" milliseconds. If "todate",
-                the range update shifts the start of range back
-                to the first timestamp from "count" times
-                "step" milliseconds back. For example, with
-                `step` set to "year" and `count` set to 1 the
-                range update shifts the start of the range back
-                to January 01 of the current year. Month and
-                year "todate" are currently available only for
-                the built-in (Gregorian) calendar.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            visible
-                Determines whether or not this button is
-                visible.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="layout.xaxis.rangeselector",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="layout.xaxis.rangeselector",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.xaxis.rangeselector", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ActivecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="activecolor",
-        parent_name="layout.xaxis.rangeselector",
-        **kwargs
-    ):
-        super(ActivecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._font import FontValidator
+    from ._buttondefaults import ButtondefaultsValidator
+    from ._buttons import ButtonsValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._activecolor import ActivecolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._font.FontValidator",
+            "._buttondefaults.ButtondefaultsValidator",
+            "._buttons.ButtonsValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._activecolor.ActivecolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_activecolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_activecolor.py
new file mode 100644
index 00000000000..054f4ecb5c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_activecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ActivecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="activecolor",
+        parent_name="layout.xaxis.rangeselector",
+        **kwargs
+    ):
+        super(ActivecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_bgcolor.py
new file mode 100644
index 00000000000..7b1f6ac300f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_bordercolor.py
new file mode 100644
index 00000000000..cd92d2b9df8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="layout.xaxis.rangeselector",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_borderwidth.py
new file mode 100644
index 00000000000..f130aa79216
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="layout.xaxis.rangeselector",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_buttondefaults.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_buttondefaults.py
new file mode 100644
index 00000000000..be3345166c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_buttondefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class ButtondefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="buttondefaults",
+        parent_name="layout.xaxis.rangeselector",
+        **kwargs
+    ):
+        super(ButtondefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Button"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_buttons.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_buttons.py
new file mode 100644
index 00000000000..a9a508da8c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_buttons.py
@@ -0,0 +1,63 @@
+import _plotly_utils.basevalidators
+
+
+class ButtonsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="buttons", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(ButtonsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Button"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            count
+                Sets the number of steps to take to update the
+                range. Use with `step` to specify the update
+                interval.
+            label
+                Sets the text label to appear on the button.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            step
+                The unit of measurement that the `count` value
+                will set the range by.
+            stepmode
+                Sets the range update mode. If "backward", the
+                range update shifts the start of range back
+                "count" times "step" milliseconds. If "todate",
+                the range update shifts the start of range back
+                to the first timestamp from "count" times
+                "step" milliseconds back. For example, with
+                `step` set to "year" and `count` set to 1 the
+                range update shifts the start of the range back
+                to January 01 of the current year. Month and
+                year "todate" are currently available only for
+                the built-in (Gregorian) calendar.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            visible
+                Determines whether or not this button is
+                visible.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_font.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_font.py
new file mode 100644
index 00000000000..8a592f593ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_visible.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_visible.py
new file mode 100644
index 00000000000..3e3c7dcacf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_x.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_x.py
new file mode 100644
index 00000000000..d8d0b3892f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_xanchor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_xanchor.py
new file mode 100644
index 00000000000..9d0fce3021c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_y.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_y.py
new file mode 100644
index 00000000000..25077c4fc95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_yanchor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_yanchor.py
new file mode 100644
index 00000000000..279a8b19dc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="layout.xaxis.rangeselector", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/__init__.py
index bfaaf05af68..382b46428c1 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/__init__.py
@@ -1,136 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="visible",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StepmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="stepmode",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(StepmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["backward", "todate"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StepValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="step",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(StepValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["month", "year", "day", "hour", "minute", "second", "all"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="label",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="count",
-        parent_name="layout.xaxis.rangeselector.button",
-        **kwargs
-    ):
-        super(CountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._stepmode import StepmodeValidator
+    from ._step import StepValidator
+    from ._name import NameValidator
+    from ._label import LabelValidator
+    from ._count import CountValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._stepmode.StepmodeValidator",
+            "._step.StepValidator",
+            "._name.NameValidator",
+            "._label.LabelValidator",
+            "._count.CountValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_count.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_count.py
new file mode 100644
index 00000000000..847724bd7c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_count.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class CountValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="count",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(CountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_label.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_label.py
new file mode 100644
index 00000000000..2725569316a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_label.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="label",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_name.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_name.py
new file mode 100644
index 00000000000..c7d96fa327d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_step.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_step.py
new file mode 100644
index 00000000000..a79b78fea13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_step.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class StepValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="step",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(StepValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["month", "year", "day", "hour", "minute", "second", "all"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_stepmode.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_stepmode.py
new file mode 100644
index 00000000000..9a1835646b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_stepmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class StepmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="stepmode",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(StepmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["backward", "todate"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_templateitemname.py
new file mode 100644
index 00000000000..6b34af5efbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_visible.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_visible.py
new file mode 100644
index 00000000000..6317cc7e2a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/button/_visible.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="visible",
+        parent_name="layout.xaxis.rangeselector.button",
+        **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/__init__.py
index 39aaa2725c3..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="layout.xaxis.rangeselector.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="layout.xaxis.rangeselector.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="layout.xaxis.rangeselector.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_color.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_color.py
new file mode 100644
index 00000000000..1a56f53a607
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="layout.xaxis.rangeselector.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_family.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_family.py
new file mode 100644
index 00000000000..1ca43d26644
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="layout.xaxis.rangeselector.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_size.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_size.py
new file mode 100644
index 00000000000..d09b975cda6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="layout.xaxis.rangeselector.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/__init__.py
index c93da973ccd..ac3c014c097 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/__init__.py
@@ -1,167 +1,28 @@
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="yaxis", parent_name="layout.xaxis.rangeslider", **kwargs
-    ):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "YAxis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            range
-                Sets the range of this axis for the
-                rangeslider.
-            rangemode
-                Determines whether or not the range of this
-                axis in the rangeslider use the same value than
-                in the main plot when zooming in/out. If
-                "auto", the autorange will be used. If "fixed",
-                the `range` is used. If "match", the current
-                range of the corresponding y-axis on the main
-                subplot is used.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="layout.xaxis.rangeslider", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="layout.xaxis.rangeslider", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="range", parent_name="layout.xaxis.rangeslider", **kwargs
-    ):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "calc",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "calc",
-                        "impliedEdits": {"^autorange": False},
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="layout.xaxis.rangeslider",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="layout.xaxis.rangeslider",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="layout.xaxis.rangeslider", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autorange", parent_name="layout.xaxis.rangeslider", **kwargs
-    ):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxis import YaxisValidator
+    from ._visible import VisibleValidator
+    from ._thickness import ThicknessValidator
+    from ._range import RangeValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+    from ._autorange import AutorangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yaxis.YaxisValidator",
+            "._visible.VisibleValidator",
+            "._thickness.ThicknessValidator",
+            "._range.RangeValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+            "._autorange.AutorangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_autorange.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_autorange.py
new file mode 100644
index 00000000000..ad082b51c72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_autorange.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autorange", parent_name="layout.xaxis.rangeslider", **kwargs
+    ):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_bgcolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_bgcolor.py
new file mode 100644
index 00000000000..868d73791ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="layout.xaxis.rangeslider", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_bordercolor.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_bordercolor.py
new file mode 100644
index 00000000000..0f709a964c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="layout.xaxis.rangeslider",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_borderwidth.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_borderwidth.py
new file mode 100644
index 00000000000..71bbbfc49c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="layout.xaxis.rangeslider",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_range.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_range.py
new file mode 100644
index 00000000000..bfd095a5e11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_range.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="range", parent_name="layout.xaxis.rangeslider", **kwargs
+    ):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "calc",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "calc",
+                        "impliedEdits": {"^autorange": False},
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_thickness.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_thickness.py
new file mode 100644
index 00000000000..e9289887108
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_thickness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="layout.xaxis.rangeslider", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_visible.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_visible.py
new file mode 100644
index 00000000000..1142eae4530
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="layout.xaxis.rangeslider", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_yaxis.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_yaxis.py
new file mode 100644
index 00000000000..80c952d4cab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/_yaxis.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="yaxis", parent_name="layout.xaxis.rangeslider", **kwargs
+    ):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "YAxis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            range
+                Sets the range of this axis for the
+                rangeslider.
+            rangemode
+                Determines whether or not the range of this
+                axis in the rangeslider use the same value than
+                in the main plot when zooming in/out. If
+                "auto", the autorange will be used. If "fixed",
+                the `range` is used. If "match", the current
+                range of the corresponding y-axis on the main
+                subplot is used.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/__init__.py
index f41759cfbc8..a90c09be4d5 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/__init__.py
@@ -1,44 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._rangemode import RangemodeValidator
+    from ._range import RangeValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="rangemode",
-        parent_name="layout.xaxis.rangeslider.yaxis",
-        **kwargs
-    ):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["auto", "fixed", "match"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="range",
-        parent_name="layout.xaxis.rangeslider.yaxis",
-        **kwargs
-    ):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "plot"},
-                    {"valType": "any", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._rangemode.RangemodeValidator", "._range.RangeValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/_range.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/_range.py
new file mode 100644
index 00000000000..58855110aa2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/_range.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="range",
+        parent_name="layout.xaxis.rangeslider.yaxis",
+        **kwargs
+    ):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "plot"},
+                    {"valType": "any", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/_rangemode.py
new file mode 100644
index 00000000000..7a048aca7fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/rangeslider/yaxis/_rangemode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="rangemode",
+        parent_name="layout.xaxis.rangeslider.yaxis",
+        **kwargs
+    ):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["auto", "fixed", "match"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/__init__.py
index 7fb654cf571..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.xaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.xaxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.xaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_color.py
new file mode 100644
index 00000000000..243148a98b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.xaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_family.py
new file mode 100644
index 00000000000..fbd54fae285
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.xaxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_size.py
new file mode 100644
index 00000000000..4a21de942f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.xaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/__init__.py
index 1b3b472923b..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/__init__.py
@@ -1,91 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="layout.xaxis.tickformatstop", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="layout.xaxis.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="layout.xaxis.tickformatstop", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.xaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "ticks"},
-                    {"valType": "any", "editType": "ticks"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..b8147603ff9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "ticks"},
+                    {"valType": "any", "editType": "ticks"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..fe01c4c5a63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="layout.xaxis.tickformatstop", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..df8018e77c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="layout.xaxis.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..ed0b4bf6abd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.xaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..8097405d20f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="layout.xaxis.tickformatstop", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/__init__.py
index 8627ae37acb..5b0c42e33e5 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/__init__.py
@@ -1,68 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="layout.xaxis.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="standoff", parent_name="layout.xaxis.title", **kwargs
-    ):
-        super(StandoffValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.xaxis.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._standoff import StandoffValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._text.TextValidator",
+            "._standoff.StandoffValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/_font.py
new file mode 100644
index 00000000000..0acbe244e08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.xaxis.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/_standoff.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/_standoff.py
new file mode 100644
index 00000000000..de321b53910
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/_standoff.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="standoff", parent_name="layout.xaxis.title", **kwargs
+    ):
+        super(StandoffValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/_text.py
new file mode 100644
index 00000000000..83076afc952
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="layout.xaxis.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/__init__.py
index d3c547073db..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/xaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.xaxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.xaxis.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.xaxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_color.py
new file mode 100644
index 00000000000..6d869b165dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.xaxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_family.py
new file mode 100644
index 00000000000..9104f56ad7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.xaxis.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_size.py
new file mode 100644
index 00000000000..5e53d6c2580
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/xaxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.xaxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/__init__.py b/packages/python/plotly/plotly/validators/layout/yaxis/__init__.py
index 3aaf0ad88e2..1261605c036 100644
--- a/packages/python/plotly/plotly/validators/layout/yaxis/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/__init__.py
@@ -1,1327 +1,158 @@
-import _plotly_utils.basevalidators
-
-
-class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="zerolinewidth", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ZerolinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="zerolinecolor", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ZerolinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="zeroline", parent_name="layout.yaxis", **kwargs):
-        super(ZerolineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="layout.yaxis", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="layout.yaxis", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="layout.yaxis", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["-", "linear", "log", "date", "category", "multicategory"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="layout.yaxis", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this axis' title font. Note that the
-                title's font used to be customized by the now
-                deprecated `titlefont` attribute.
-            standoff
-                Sets the standoff distance (in px) between the
-                axis labels and the title text The default
-                value is a function of the axis tick labels,
-                the title `font.size` and the axis `linewidth`.
-                Note that the axis title position is always
-                constrained within the margins, so the actual
-                standoff distance is always less than the set
-                or default value. By setting `standoff` and
-                turning on `automargin`, plotly.js will push
-                the margins to fit the axis title at given
-                standoff distance.
-            text
-                Sets the title of this axis. Note that before
-                the existence of `title.text`, the title's
-                contents used to be defined as the `title`
-                attribute itself. This behavior has been
-                deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tickwidth", parent_name="layout.yaxis", **kwargs):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tickvalssrc", parent_name="layout.yaxis", **kwargs):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="layout.yaxis", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ticktextsrc", parent_name="layout.yaxis", **kwargs):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="layout.yaxis", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="ticksuffix", parent_name="layout.yaxis", **kwargs):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksonValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickson", parent_name="layout.yaxis", **kwargs):
-        super(TicksonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["labels", "boundaries"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="layout.yaxis", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickprefix", parent_name="layout.yaxis", **kwargs):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="layout.yaxis", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="layout.yaxis", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickformatstopdefaults", parent_name="layout.yaxis", **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="layout.yaxis", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="tickformat", parent_name="layout.yaxis", **kwargs):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="layout.yaxis", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="tickcolor", parent_name="layout.yaxis", **kwargs):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="tickangle", parent_name="layout.yaxis", **kwargs):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="layout.yaxis", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="spikethickness", parent_name="layout.yaxis", **kwargs
-    ):
-        super(SpikethicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikesnapValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="spikesnap", parent_name="layout.yaxis", **kwargs):
-        super(SpikesnapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["data", "cursor", "hovered data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikemodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="spikemode", parent_name="layout.yaxis", **kwargs):
-        super(SpikemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            flags=kwargs.pop("flags", ["toaxis", "across", "marker"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikedashValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="spikedash", parent_name="layout.yaxis", **kwargs):
-        super(SpikedashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="spikecolor", parent_name="layout.yaxis", **kwargs):
-        super(SpikecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="side", parent_name="layout.yaxis", **kwargs):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top", "bottom", "left", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showspikes", parent_name="layout.yaxis", **kwargs):
-        super(ShowspikesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "modebar"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showline", parent_name="layout.yaxis", **kwargs):
-        super(ShowlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showgrid", parent_name="layout.yaxis", **kwargs):
-        super(ShowgridValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowdividersValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showdividers", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ShowdividersValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="layout.yaxis", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleratioValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="scaleratio", parent_name="layout.yaxis", **kwargs):
-        super(ScaleratioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="scaleanchor", parent_name="layout.yaxis", **kwargs):
-        super(ScaleanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="rangemode", parent_name="layout.yaxis", **kwargs):
-        super(RangemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangebreakValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="rangebreakdefaults", parent_name="layout.yaxis", **kwargs
-    ):
-        super(RangebreakValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangebreaksValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="rangebreaks", parent_name="layout.yaxis", **kwargs):
-        super(RangebreaksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bounds
-                Sets the lower and upper bounds of this axis
-                rangebreak. Can be used with `pattern`.
-            dvalue
-                Sets the size of each `values` item. The
-                default is one day in milliseconds.
-            enabled
-                Determines whether this axis rangebreak is
-                enabled or disabled. Please note that
-                `rangebreaks` only work for "date" axis type.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            pattern
-                Determines a pattern on the time line that
-                generates breaks. If *day of week* - days of
-                the week in English e.g. 'Sunday' or `sun`
-                (matching is case-insensitive and considers
-                only the first three characters), as well as
-                Sunday-based integers between 0 and 6. If
-                "hour" - hour (24-hour clock) as decimal
-                numbers between 0 and 24. for more info.
-                Examples: - { pattern: 'day of week', bounds:
-                [6, 1] }  or simply { bounds: ['sat', 'mon'] }
-                breaks from Saturday to Monday (i.e. skips the
-                weekends). - { pattern: 'hour', bounds: [17, 8]
-                }   breaks from 5pm to 8am (i.e. skips non-work
-                hours).
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            values
-                Sets the coordinate values corresponding to the
-                rangebreaks. An alternative to `bounds`. Use
-                `dvalue` to set the size of the values along
-                the axis.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="range", parent_name="layout.yaxis", **kwargs):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "axrange"),
-            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
-            items=kwargs.pop(
-                "items",
-                [
-                    {
-                        "valType": "any",
-                        "editType": "axrange",
-                        "impliedEdits": {"^autorange": False},
-                        "anim": True,
-                    },
-                    {
-                        "valType": "any",
-                        "editType": "axrange",
-                        "impliedEdits": {"^autorange": False},
-                        "anim": True,
-                    },
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PositionValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="position", parent_name="layout.yaxis", **kwargs):
-        super(PositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OverlayingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="overlaying", parent_name="layout.yaxis", **kwargs):
-        super(OverlayingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="layout.yaxis", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="mirror", parent_name="layout.yaxis", **kwargs):
-        super(MirrorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MatchesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="matches", parent_name="layout.yaxis", **kwargs):
-        super(MatchesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="linewidth", parent_name="layout.yaxis", **kwargs):
-        super(LinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="linecolor", parent_name="layout.yaxis", **kwargs):
-        super(LinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "layoutstyle"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="layer", parent_name="layout.yaxis", **kwargs):
-        super(LayerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["above traces", "below traces"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hoverformat", parent_name="layout.yaxis", **kwargs):
-        super(HoverformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="gridwidth", parent_name="layout.yaxis", **kwargs):
-        super(GridwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="gridcolor", parent_name="layout.yaxis", **kwargs):
-        super(GridcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="fixedrange", parent_name="layout.yaxis", **kwargs):
-        super(FixedrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="layout.yaxis", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="domain", parent_name="layout.yaxis", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DividerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="dividerwidth", parent_name="layout.yaxis", **kwargs
-    ):
-        super(DividerwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DividercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="dividercolor", parent_name="layout.yaxis", **kwargs
-    ):
-        super(DividercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstraintowardValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="constraintoward", parent_name="layout.yaxis", **kwargs
-    ):
-        super(ConstraintowardValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["left", "center", "right", "top", "middle", "bottom"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstrainValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="constrain", parent_name="layout.yaxis", **kwargs):
-        super(ConstrainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["range", "domain"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="layout.yaxis", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="layout.yaxis", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "trace",
-                    "category ascending",
-                    "category descending",
-                    "array",
-                    "total ascending",
-                    "total descending",
-                    "min ascending",
-                    "min descending",
-                    "max ascending",
-                    "max descending",
-                    "sum ascending",
-                    "sum descending",
-                    "mean ascending",
-                    "mean descending",
-                    "median ascending",
-                    "median descending",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="layout.yaxis", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="layout.yaxis", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="calendar", parent_name="layout.yaxis", **kwargs):
-        super(CalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="autorange", parent_name="layout.yaxis", **kwargs):
-        super(AutorangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "axrange"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutomarginValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="automargin", parent_name="layout.yaxis", **kwargs):
-        super(AutomarginValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AnchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="anchor", parent_name="layout.yaxis", **kwargs):
-        super(AnchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zerolinewidth import ZerolinewidthValidator
+    from ._zerolinecolor import ZerolinecolorValidator
+    from ._zeroline import ZerolineValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._type import TypeValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._tickson import TicksonValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._spikethickness import SpikethicknessValidator
+    from ._spikesnap import SpikesnapValidator
+    from ._spikemode import SpikemodeValidator
+    from ._spikedash import SpikedashValidator
+    from ._spikecolor import SpikecolorValidator
+    from ._side import SideValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showspikes import ShowspikesValidator
+    from ._showline import ShowlineValidator
+    from ._showgrid import ShowgridValidator
+    from ._showexponent import ShowexponentValidator
+    from ._showdividers import ShowdividersValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._scaleratio import ScaleratioValidator
+    from ._scaleanchor import ScaleanchorValidator
+    from ._rangemode import RangemodeValidator
+    from ._rangebreakdefaults import RangebreakdefaultsValidator
+    from ._rangebreaks import RangebreaksValidator
+    from ._range import RangeValidator
+    from ._position import PositionValidator
+    from ._overlaying import OverlayingValidator
+    from ._nticks import NticksValidator
+    from ._mirror import MirrorValidator
+    from ._matches import MatchesValidator
+    from ._linewidth import LinewidthValidator
+    from ._linecolor import LinecolorValidator
+    from ._layer import LayerValidator
+    from ._hoverformat import HoverformatValidator
+    from ._gridwidth import GridwidthValidator
+    from ._gridcolor import GridcolorValidator
+    from ._fixedrange import FixedrangeValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._domain import DomainValidator
+    from ._dividerwidth import DividerwidthValidator
+    from ._dividercolor import DividercolorValidator
+    from ._constraintoward import ConstraintowardValidator
+    from ._constrain import ConstrainValidator
+    from ._color import ColorValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+    from ._calendar import CalendarValidator
+    from ._autorange import AutorangeValidator
+    from ._automargin import AutomarginValidator
+    from ._anchor import AnchorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zerolinewidth.ZerolinewidthValidator",
+            "._zerolinecolor.ZerolinecolorValidator",
+            "._zeroline.ZerolineValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._type.TypeValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._tickson.TicksonValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._spikethickness.SpikethicknessValidator",
+            "._spikesnap.SpikesnapValidator",
+            "._spikemode.SpikemodeValidator",
+            "._spikedash.SpikedashValidator",
+            "._spikecolor.SpikecolorValidator",
+            "._side.SideValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showspikes.ShowspikesValidator",
+            "._showline.ShowlineValidator",
+            "._showgrid.ShowgridValidator",
+            "._showexponent.ShowexponentValidator",
+            "._showdividers.ShowdividersValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._scaleratio.ScaleratioValidator",
+            "._scaleanchor.ScaleanchorValidator",
+            "._rangemode.RangemodeValidator",
+            "._rangebreakdefaults.RangebreakdefaultsValidator",
+            "._rangebreaks.RangebreaksValidator",
+            "._range.RangeValidator",
+            "._position.PositionValidator",
+            "._overlaying.OverlayingValidator",
+            "._nticks.NticksValidator",
+            "._mirror.MirrorValidator",
+            "._matches.MatchesValidator",
+            "._linewidth.LinewidthValidator",
+            "._linecolor.LinecolorValidator",
+            "._layer.LayerValidator",
+            "._hoverformat.HoverformatValidator",
+            "._gridwidth.GridwidthValidator",
+            "._gridcolor.GridcolorValidator",
+            "._fixedrange.FixedrangeValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._domain.DomainValidator",
+            "._dividerwidth.DividerwidthValidator",
+            "._dividercolor.DividercolorValidator",
+            "._constraintoward.ConstraintowardValidator",
+            "._constrain.ConstrainValidator",
+            "._color.ColorValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+            "._calendar.CalendarValidator",
+            "._autorange.AutorangeValidator",
+            "._automargin.AutomarginValidator",
+            "._anchor.AnchorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_anchor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_anchor.py
new file mode 100644
index 00000000000..a5be544324a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_anchor.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AnchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="anchor", parent_name="layout.yaxis", **kwargs):
+        super(AnchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_automargin.py b/packages/python/plotly/plotly/validators/layout/yaxis/_automargin.py
new file mode 100644
index 00000000000..2f8f6247705
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_automargin.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutomarginValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="automargin", parent_name="layout.yaxis", **kwargs):
+        super(AutomarginValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_autorange.py b/packages/python/plotly/plotly/validators/layout/yaxis/_autorange.py
new file mode 100644
index 00000000000..1aaaee0aada
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_autorange.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="autorange", parent_name="layout.yaxis", **kwargs):
+        super(AutorangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "axrange"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_calendar.py b/packages/python/plotly/plotly/validators/layout/yaxis/_calendar.py
new file mode 100644
index 00000000000..08de70d8511
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_calendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="calendar", parent_name="layout.yaxis", **kwargs):
+        super(CalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_categoryarray.py b/packages/python/plotly/plotly/validators/layout/yaxis/_categoryarray.py
new file mode 100644
index 00000000000..cd0cc04e0d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="layout.yaxis", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/layout/yaxis/_categoryarraysrc.py
new file mode 100644
index 00000000000..3a30faa2f29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="layout.yaxis", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_categoryorder.py b/packages/python/plotly/plotly/validators/layout/yaxis/_categoryorder.py
new file mode 100644
index 00000000000..e27d7a1e00f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_categoryorder.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="layout.yaxis", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "trace",
+                    "category ascending",
+                    "category descending",
+                    "array",
+                    "total ascending",
+                    "total descending",
+                    "min ascending",
+                    "min descending",
+                    "max ascending",
+                    "max descending",
+                    "sum ascending",
+                    "sum descending",
+                    "mean ascending",
+                    "mean descending",
+                    "median ascending",
+                    "median descending",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_color.py b/packages/python/plotly/plotly/validators/layout/yaxis/_color.py
new file mode 100644
index 00000000000..20c999d11ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="layout.yaxis", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_constrain.py b/packages/python/plotly/plotly/validators/layout/yaxis/_constrain.py
new file mode 100644
index 00000000000..58f415e83ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_constrain.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ConstrainValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="constrain", parent_name="layout.yaxis", **kwargs):
+        super(ConstrainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["range", "domain"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_constraintoward.py b/packages/python/plotly/plotly/validators/layout/yaxis/_constraintoward.py
new file mode 100644
index 00000000000..38c5591f4d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_constraintoward.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ConstraintowardValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="constraintoward", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ConstraintowardValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["left", "center", "right", "top", "middle", "bottom"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_dividercolor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_dividercolor.py
new file mode 100644
index 00000000000..a4bb79dc6f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_dividercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DividercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="dividercolor", parent_name="layout.yaxis", **kwargs
+    ):
+        super(DividercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_dividerwidth.py b/packages/python/plotly/plotly/validators/layout/yaxis/_dividerwidth.py
new file mode 100644
index 00000000000..8e554e5cfd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_dividerwidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DividerwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="dividerwidth", parent_name="layout.yaxis", **kwargs
+    ):
+        super(DividerwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_domain.py b/packages/python/plotly/plotly/validators/layout/yaxis/_domain.py
new file mode 100644
index 00000000000..511ec578d2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_domain.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="domain", parent_name="layout.yaxis", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_dtick.py b/packages/python/plotly/plotly/validators/layout/yaxis/_dtick.py
new file mode 100644
index 00000000000..d6a88791bd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="layout.yaxis", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_exponentformat.py b/packages/python/plotly/plotly/validators/layout/yaxis/_exponentformat.py
new file mode 100644
index 00000000000..4b99b692179
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_fixedrange.py b/packages/python/plotly/plotly/validators/layout/yaxis/_fixedrange.py
new file mode 100644
index 00000000000..81e1aea5277
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_fixedrange.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="fixedrange", parent_name="layout.yaxis", **kwargs):
+        super(FixedrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_gridcolor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_gridcolor.py
new file mode 100644
index 00000000000..c5c1f766633
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_gridcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="gridcolor", parent_name="layout.yaxis", **kwargs):
+        super(GridcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_gridwidth.py b/packages/python/plotly/plotly/validators/layout/yaxis/_gridwidth.py
new file mode 100644
index 00000000000..a31fab9a43e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_gridwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="gridwidth", parent_name="layout.yaxis", **kwargs):
+        super(GridwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_hoverformat.py b/packages/python/plotly/plotly/validators/layout/yaxis/_hoverformat.py
new file mode 100644
index 00000000000..af0a58ac7c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_hoverformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hoverformat", parent_name="layout.yaxis", **kwargs):
+        super(HoverformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_layer.py b/packages/python/plotly/plotly/validators/layout/yaxis/_layer.py
new file mode 100644
index 00000000000..33441a69ae6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_layer.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="layer", parent_name="layout.yaxis", **kwargs):
+        super(LayerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["above traces", "below traces"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_linecolor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_linecolor.py
new file mode 100644
index 00000000000..7f93d055a91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_linecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="linecolor", parent_name="layout.yaxis", **kwargs):
+        super(LinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_linewidth.py b/packages/python/plotly/plotly/validators/layout/yaxis/_linewidth.py
new file mode 100644
index 00000000000..4dabc5faf52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_linewidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="linewidth", parent_name="layout.yaxis", **kwargs):
+        super(LinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_matches.py b/packages/python/plotly/plotly/validators/layout/yaxis/_matches.py
new file mode 100644
index 00000000000..f6cd882a0f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_matches.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MatchesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="matches", parent_name="layout.yaxis", **kwargs):
+        super(MatchesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_mirror.py b/packages/python/plotly/plotly/validators/layout/yaxis/_mirror.py
new file mode 100644
index 00000000000..efb7b074f73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_mirror.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MirrorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="mirror", parent_name="layout.yaxis", **kwargs):
+        super(MirrorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, "ticks", False, "all", "allticks"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_nticks.py b/packages/python/plotly/plotly/validators/layout/yaxis/_nticks.py
new file mode 100644
index 00000000000..a3e6b1161a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="layout.yaxis", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_overlaying.py b/packages/python/plotly/plotly/validators/layout/yaxis/_overlaying.py
new file mode 100644
index 00000000000..5770b5b8134
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_overlaying.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OverlayingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="overlaying", parent_name="layout.yaxis", **kwargs):
+        super(OverlayingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["free", "/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_position.py b/packages/python/plotly/plotly/validators/layout/yaxis/_position.py
new file mode 100644
index 00000000000..047ec45c492
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_position.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PositionValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="position", parent_name="layout.yaxis", **kwargs):
+        super(PositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_range.py b/packages/python/plotly/plotly/validators/layout/yaxis/_range.py
new file mode 100644
index 00000000000..22505ff63d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_range.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="range", parent_name="layout.yaxis", **kwargs):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "axrange"),
+            implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
+            items=kwargs.pop(
+                "items",
+                [
+                    {
+                        "valType": "any",
+                        "editType": "axrange",
+                        "impliedEdits": {"^autorange": False},
+                        "anim": True,
+                    },
+                    {
+                        "valType": "any",
+                        "editType": "axrange",
+                        "impliedEdits": {"^autorange": False},
+                        "anim": True,
+                    },
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_rangebreakdefaults.py b/packages/python/plotly/plotly/validators/layout/yaxis/_rangebreakdefaults.py
new file mode 100644
index 00000000000..8128a605531
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_rangebreakdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class RangebreakdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="rangebreakdefaults", parent_name="layout.yaxis", **kwargs
+    ):
+        super(RangebreakdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_rangebreaks.py b/packages/python/plotly/plotly/validators/layout/yaxis/_rangebreaks.py
new file mode 100644
index 00000000000..0cad1a95b53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_rangebreaks.py
@@ -0,0 +1,67 @@
+import _plotly_utils.basevalidators
+
+
+class RangebreaksValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="rangebreaks", parent_name="layout.yaxis", **kwargs):
+        super(RangebreaksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangebreak"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bounds
+                Sets the lower and upper bounds of this axis
+                rangebreak. Can be used with `pattern`.
+            dvalue
+                Sets the size of each `values` item. The
+                default is one day in milliseconds.
+            enabled
+                Determines whether this axis rangebreak is
+                enabled or disabled. Please note that
+                `rangebreaks` only work for "date" axis type.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            pattern
+                Determines a pattern on the time line that
+                generates breaks. If *day of week* - days of
+                the week in English e.g. 'Sunday' or `sun`
+                (matching is case-insensitive and considers
+                only the first three characters), as well as
+                Sunday-based integers between 0 and 6. If
+                "hour" - hour (24-hour clock) as decimal
+                numbers between 0 and 24. for more info.
+                Examples: - { pattern: 'day of week', bounds:
+                [6, 1] }  or simply { bounds: ['sat', 'mon'] }
+                breaks from Saturday to Monday (i.e. skips the
+                weekends). - { pattern: 'hour', bounds: [17, 8]
+                }   breaks from 5pm to 8am (i.e. skips non-work
+                hours).
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            values
+                Sets the coordinate values corresponding to the
+                rangebreaks. An alternative to `bounds`. Use
+                `dvalue` to set the size of the values along
+                the axis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_rangemode.py b/packages/python/plotly/plotly/validators/layout/yaxis/_rangemode.py
new file mode 100644
index 00000000000..0b9c1eb23e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_rangemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="rangemode", parent_name="layout.yaxis", **kwargs):
+        super(RangemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["normal", "tozero", "nonnegative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_scaleanchor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_scaleanchor.py
new file mode 100644
index 00000000000..d5a3dbe530a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_scaleanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="scaleanchor", parent_name="layout.yaxis", **kwargs):
+        super(ScaleanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["/^x([2-9]|[1-9][0-9]+)?$/", "/^y([2-9]|[1-9][0-9]+)?$/"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_scaleratio.py b/packages/python/plotly/plotly/validators/layout/yaxis/_scaleratio.py
new file mode 100644
index 00000000000..5ba493c328d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_scaleratio.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleratioValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="scaleratio", parent_name="layout.yaxis", **kwargs):
+        super(ScaleratioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_separatethousands.py b/packages/python/plotly/plotly/validators/layout/yaxis/_separatethousands.py
new file mode 100644
index 00000000000..6f1177adfc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="layout.yaxis", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showdividers.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showdividers.py
new file mode 100644
index 00000000000..ac4a442babc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showdividers.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowdividersValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showdividers", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ShowdividersValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showexponent.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showexponent.py
new file mode 100644
index 00000000000..9c8ab0ccca4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showgrid.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showgrid.py
new file mode 100644
index 00000000000..74c28cfa767
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showgrid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showgrid", parent_name="layout.yaxis", **kwargs):
+        super(ShowgridValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showline.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showline.py
new file mode 100644
index 00000000000..36c17808b32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showline", parent_name="layout.yaxis", **kwargs):
+        super(ShowlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks+layoutstyle"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showspikes.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showspikes.py
new file mode 100644
index 00000000000..f8d091b9610
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showspikes.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showspikes", parent_name="layout.yaxis", **kwargs):
+        super(ShowspikesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "modebar"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showticklabels.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showticklabels.py
new file mode 100644
index 00000000000..341a10f0f09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showtickprefix.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showtickprefix.py
new file mode 100644
index 00000000000..9a467693255
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_showticksuffix.py b/packages/python/plotly/plotly/validators/layout/yaxis/_showticksuffix.py
new file mode 100644
index 00000000000..731813f1905
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_side.py b/packages/python/plotly/plotly/validators/layout/yaxis/_side.py
new file mode 100644
index 00000000000..14ed24eaefa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_side.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="side", parent_name="layout.yaxis", **kwargs):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top", "bottom", "left", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_spikecolor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_spikecolor.py
new file mode 100644
index 00000000000..fce8a9bfcfa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_spikecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SpikecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="spikecolor", parent_name="layout.yaxis", **kwargs):
+        super(SpikecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_spikedash.py b/packages/python/plotly/plotly/validators/layout/yaxis/_spikedash.py
new file mode 100644
index 00000000000..5e6b478118f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_spikedash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SpikedashValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="spikedash", parent_name="layout.yaxis", **kwargs):
+        super(SpikedashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_spikemode.py b/packages/python/plotly/plotly/validators/layout/yaxis/_spikemode.py
new file mode 100644
index 00000000000..ca244e048bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_spikemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SpikemodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="spikemode", parent_name="layout.yaxis", **kwargs):
+        super(SpikemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            flags=kwargs.pop("flags", ["toaxis", "across", "marker"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_spikesnap.py b/packages/python/plotly/plotly/validators/layout/yaxis/_spikesnap.py
new file mode 100644
index 00000000000..f8d5ccab6f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_spikesnap.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SpikesnapValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="spikesnap", parent_name="layout.yaxis", **kwargs):
+        super(SpikesnapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["data", "cursor", "hovered data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_spikethickness.py b/packages/python/plotly/plotly/validators/layout/yaxis/_spikethickness.py
new file mode 100644
index 00000000000..5336990d786
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_spikethickness.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpikethicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="spikethickness", parent_name="layout.yaxis", **kwargs
+    ):
+        super(SpikethicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tick0.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tick0.py
new file mode 100644
index 00000000000..6a9674e675e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="layout.yaxis", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickangle.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickangle.py
new file mode 100644
index 00000000000..a94eea63139
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="tickangle", parent_name="layout.yaxis", **kwargs):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickcolor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickcolor.py
new file mode 100644
index 00000000000..8739e26efed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="tickcolor", parent_name="layout.yaxis", **kwargs):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickfont.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickfont.py
new file mode 100644
index 00000000000..a4e9bd28f47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="layout.yaxis", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickformat.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickformat.py
new file mode 100644
index 00000000000..43b70828115
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickformat", parent_name="layout.yaxis", **kwargs):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..247ca9d84ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickformatstopdefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickformatstopdefaults", parent_name="layout.yaxis", **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickformatstops.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickformatstops.py
new file mode 100644
index 00000000000..5a15aea7fc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="layout.yaxis", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_ticklen.py b/packages/python/plotly/plotly/validators/layout/yaxis/_ticklen.py
new file mode 100644
index 00000000000..e914195ff67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="layout.yaxis", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickmode.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickmode.py
new file mode 100644
index 00000000000..2e146cc0df5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="layout.yaxis", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickprefix.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickprefix.py
new file mode 100644
index 00000000000..658c1a188e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickprefix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="tickprefix", parent_name="layout.yaxis", **kwargs):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_ticks.py b/packages/python/plotly/plotly/validators/layout/yaxis/_ticks.py
new file mode 100644
index 00000000000..285e3bc1d3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="layout.yaxis", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickson.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickson.py
new file mode 100644
index 00000000000..7ac49d07c3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickson.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksonValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickson", parent_name="layout.yaxis", **kwargs):
+        super(TicksonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["labels", "boundaries"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_ticksuffix.py b/packages/python/plotly/plotly/validators/layout/yaxis/_ticksuffix.py
new file mode 100644
index 00000000000..d1fb695b200
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_ticksuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="ticksuffix", parent_name="layout.yaxis", **kwargs):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_ticktext.py b/packages/python/plotly/plotly/validators/layout/yaxis/_ticktext.py
new file mode 100644
index 00000000000..4d965f47541
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="layout.yaxis", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_ticktextsrc.py b/packages/python/plotly/plotly/validators/layout/yaxis/_ticktextsrc.py
new file mode 100644
index 00000000000..86738539349
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_ticktextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ticktextsrc", parent_name="layout.yaxis", **kwargs):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickvals.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickvals.py
new file mode 100644
index 00000000000..749436119ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="layout.yaxis", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickvalssrc.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickvalssrc.py
new file mode 100644
index 00000000000..0afe3ad6691
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickvalssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tickvalssrc", parent_name="layout.yaxis", **kwargs):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_tickwidth.py b/packages/python/plotly/plotly/validators/layout/yaxis/_tickwidth.py
new file mode 100644
index 00000000000..d119dbadb3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_tickwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tickwidth", parent_name="layout.yaxis", **kwargs):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_title.py b/packages/python/plotly/plotly/validators/layout/yaxis/_title.py
new file mode 100644
index 00000000000..2411f833b20
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_title.py
@@ -0,0 +1,38 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="layout.yaxis", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this axis' title font. Note that the
+                title's font used to be customized by the now
+                deprecated `titlefont` attribute.
+            standoff
+                Sets the standoff distance (in px) between the
+                axis labels and the title text The default
+                value is a function of the axis tick labels,
+                the title `font.size` and the axis `linewidth`.
+                Note that the axis title position is always
+                constrained within the margins, so the actual
+                standoff distance is always less than the set
+                or default value. By setting `standoff` and
+                turning on `automargin`, plotly.js will push
+                the margins to fit the axis title at given
+                standoff distance.
+            text
+                Sets the title of this axis. Note that before
+                the existence of `title.text`, the title's
+                contents used to be defined as the `title`
+                attribute itself. This behavior has been
+                deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_type.py b/packages/python/plotly/plotly/validators/layout/yaxis/_type.py
new file mode 100644
index 00000000000..33d2c29c50e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="layout.yaxis", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["-", "linear", "log", "date", "category", "multicategory"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_uirevision.py b/packages/python/plotly/plotly/validators/layout/yaxis/_uirevision.py
new file mode 100644
index 00000000000..f7bc7278679
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="layout.yaxis", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_visible.py b/packages/python/plotly/plotly/validators/layout/yaxis/_visible.py
new file mode 100644
index 00000000000..4f845a21714
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="layout.yaxis", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_zeroline.py b/packages/python/plotly/plotly/validators/layout/yaxis/_zeroline.py
new file mode 100644
index 00000000000..5196a73499d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_zeroline.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolineValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="zeroline", parent_name="layout.yaxis", **kwargs):
+        super(ZerolineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_zerolinecolor.py b/packages/python/plotly/plotly/validators/layout/yaxis/_zerolinecolor.py
new file mode 100644
index 00000000000..93c89f18a63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_zerolinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="zerolinecolor", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ZerolinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/_zerolinewidth.py b/packages/python/plotly/plotly/validators/layout/yaxis/_zerolinewidth.py
new file mode 100644
index 00000000000..a9c5c9ea0af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/_zerolinewidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZerolinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="zerolinewidth", parent_name="layout.yaxis", **kwargs
+    ):
+        super(ZerolinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/__init__.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/__init__.py
index ddb9a57aa75..ff88d698be8 100644
--- a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/__init__.py
@@ -1,124 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="values", parent_name="layout.yaxis.rangebreak", **kwargs
-    ):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop("items", {"valType": "any", "editType": "calc"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.yaxis.rangebreak",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PatternValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="pattern", parent_name="layout.yaxis.rangebreak", **kwargs
-    ):
-        super(PatternValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["day of week", "hour", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="layout.yaxis.rangebreak", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="layout.yaxis.rangebreak", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DvalueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="dvalue", parent_name="layout.yaxis.rangebreak", **kwargs
-    ):
-        super(DvalueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoundsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="bounds", parent_name="layout.yaxis.rangebreak", **kwargs
-    ):
-        super(BoundsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._values import ValuesValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._pattern import PatternValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dvalue import DvalueValidator
+    from ._bounds import BoundsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._values.ValuesValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._pattern.PatternValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dvalue.DvalueValidator",
+            "._bounds.BoundsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_bounds.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_bounds.py
new file mode 100644
index 00000000000..d2b0702597c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_bounds.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class BoundsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="bounds", parent_name="layout.yaxis.rangebreak", **kwargs
+    ):
+        super(BoundsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_dvalue.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_dvalue.py
new file mode 100644
index 00000000000..d5082b52b11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_dvalue.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DvalueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="dvalue", parent_name="layout.yaxis.rangebreak", **kwargs
+    ):
+        super(DvalueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_enabled.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_enabled.py
new file mode 100644
index 00000000000..2ad9c4ee408
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="layout.yaxis.rangebreak", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_name.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_name.py
new file mode 100644
index 00000000000..9b6f5f3a942
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="layout.yaxis.rangebreak", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_pattern.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_pattern.py
new file mode 100644
index 00000000000..3eb05ffc29f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_pattern.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class PatternValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="pattern", parent_name="layout.yaxis.rangebreak", **kwargs
+    ):
+        super(PatternValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["day of week", "hour", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_templateitemname.py
new file mode 100644
index 00000000000..c5d16576108
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.yaxis.rangebreak",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_values.py b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_values.py
new file mode 100644
index 00000000000..74118254314
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/rangebreak/_values.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="values", parent_name="layout.yaxis.rangebreak", **kwargs
+    ):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop("items", {"valType": "any", "editType": "calc"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/__init__.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/__init__.py
index f4ca26abeae..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.yaxis.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.yaxis.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.yaxis.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_color.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_color.py
new file mode 100644
index 00000000000..0aafe00b99a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.yaxis.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_family.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_family.py
new file mode 100644
index 00000000000..3b77a28d002
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.yaxis.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_size.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_size.py
new file mode 100644
index 00000000000..8565798a9d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.yaxis.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/__init__.py
index be4d104dba5..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/__init__.py
@@ -1,91 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="value", parent_name="layout.yaxis.tickformatstop", **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="layout.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="layout.yaxis.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="enabled", parent_name="layout.yaxis.tickformatstop", **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="layout.yaxis.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "ticks"},
-                    {"valType": "any", "editType": "ticks"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..50ea34a5825
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="layout.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "ticks"},
+                    {"valType": "any", "editType": "ticks"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..db92e4324f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_enabled.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="enabled", parent_name="layout.yaxis.tickformatstop", **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_name.py
new file mode 100644
index 00000000000..a9a5048624b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="layout.yaxis.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..e101c7e3c71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="layout.yaxis.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_value.py
new file mode 100644
index 00000000000..4c98c1a1b3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_value.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="value", parent_name="layout.yaxis.tickformatstop", **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/__init__.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/__init__.py
index 7f8bb1bb43f..5b0c42e33e5 100644
--- a/packages/python/plotly/plotly/validators/layout/yaxis/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/__init__.py
@@ -1,68 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="layout.yaxis.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="standoff", parent_name="layout.yaxis.title", **kwargs
-    ):
-        super(StandoffValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="layout.yaxis.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._standoff import StandoffValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._text.TextValidator",
+            "._standoff.StandoffValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/_font.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/_font.py
new file mode 100644
index 00000000000..81a363ea3f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/_font.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="layout.yaxis.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/_standoff.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/_standoff.py
new file mode 100644
index 00000000000..12aa29d30e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/_standoff.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class StandoffValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="standoff", parent_name="layout.yaxis.title", **kwargs
+    ):
+        super(StandoffValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/_text.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/_text.py
new file mode 100644
index 00000000000..a1776133bce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="layout.yaxis.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/font/__init__.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/__init__.py
index 629801be7ad..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/layout/yaxis/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="layout.yaxis.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="layout.yaxis.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="layout.yaxis.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "ticks"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_color.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_color.py
new file mode 100644
index 00000000000..72daecc4bf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="layout.yaxis.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_family.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_family.py
new file mode 100644
index 00000000000..48e2b59483b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="layout.yaxis.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_size.py b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_size.py
new file mode 100644
index 00000000000..f460f9d404f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/layout/yaxis/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="layout.yaxis.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "ticks"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/__init__.py
index b85b46d7b76..78dab8c605a 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/__init__.py
@@ -1,1284 +1,138 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="mesh3d", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="zcalendar", parent_name="mesh3d", **kwargs):
-        super(ZcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="mesh3d", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="mesh3d", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="mesh3d", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="mesh3d", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="mesh3d", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="mesh3d", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="mesh3d", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="mesh3d", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VertexcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="vertexcolorsrc", parent_name="mesh3d", **kwargs):
-        super(VertexcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VertexcolorValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="vertexcolor", parent_name="mesh3d", **kwargs):
-        super(VertexcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="mesh3d", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="mesh3d", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="mesh3d", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="mesh3d", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="mesh3d", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="mesh3d", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="mesh3d", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="mesh3d", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="mesh3d", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="mesh3d", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="mesh3d", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="mesh3d", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="mesh3d", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lightposition", parent_name="mesh3d", **kwargs):
-        super(LightpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Numeric vector, representing the X coordinate
-                for each vertex.
-            y
-                Numeric vector, representing the Y coordinate
-                for each vertex.
-            z
-                Numeric vector, representing the Z coordinate
-                for each vertex.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lighting", parent_name="mesh3d", **kwargs):
-        super(LightingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lighting"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            ambient
-                Ambient light increases overall color
-                visibility but can wash out the image.
-            diffuse
-                Represents the extent that incident rays are
-                reflected in a range of angles.
-            facenormalsepsilon
-                Epsilon for face normals calculation avoids
-                math issues arising from degenerate geometry.
-            fresnel
-                Represents the reflectance as a dependency of
-                the viewing angle; e.g. paper is reflective
-                when viewing it from the edge of the paper
-                (almost 90 degrees), causing shine.
-            roughness
-                Alters specular reflection; the rougher the
-                surface, the wider and less contrasty the
-                shine.
-            specular
-                Represents the level that incident rays are
-                reflected in a single direction, causing shine.
-            vertexnormalsepsilon
-                Epsilon for vertex normals calculation avoids
-                math issues arising from degenerate geometry.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="mesh3d", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class KsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ksrc", parent_name="mesh3d", **kwargs):
-        super(KsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class KValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="k", parent_name="mesh3d", **kwargs):
-        super(KValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class JsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="jsrc", parent_name="mesh3d", **kwargs):
-        super(JsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class JValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="j", parent_name="mesh3d", **kwargs):
-        super(JValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="isrc", parent_name="mesh3d", **kwargs):
-        super(IsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IntensitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="intensitysrc", parent_name="mesh3d", **kwargs):
-        super(IntensitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IntensitymodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="intensitymode", parent_name="mesh3d", **kwargs):
-        super(IntensitymodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["vertex", "cell"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IntensityValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="intensity", parent_name="mesh3d", **kwargs):
-        super(IntensityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="mesh3d", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="mesh3d", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="i", parent_name="mesh3d", **kwargs):
-        super(IValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="mesh3d", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="mesh3d", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="mesh3d", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="mesh3d", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="mesh3d", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="mesh3d", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="mesh3d", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="flatshading", parent_name="mesh3d", **kwargs):
-        super(FlatshadingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacecolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="facecolorsrc", parent_name="mesh3d", **kwargs):
-        super(FacecolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacecolorValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="facecolor", parent_name="mesh3d", **kwargs):
-        super(FacecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DelaunayaxisValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="delaunayaxis", parent_name="mesh3d", **kwargs):
-        super(DelaunayaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["x", "y", "z"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="mesh3d", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="mesh3d", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contour", parent_name="mesh3d", **kwargs):
-        super(ContourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour lines.
-            show
-                Sets whether or not dynamic contours are shown
-                on hover
-            width
-                Sets the width of the contour lines.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="mesh3d", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="mesh3d", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.mesh3d.
-                colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.mesh3d.colorbar.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of mesh3d.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.mesh3d.colorbar.Ti
-                tle` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                mesh3d.colorbar.title.font instead. Sets this
-                color bar's title font. Note that the title's
-                font used to be set by the now deprecated
-                `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                mesh3d.colorbar.title.side instead. Determines
-                the location of color bar's title with respect
-                to the color bar. Note that the title's
-                location used to be set by the now deprecated
-                `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="mesh3d", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="mesh3d", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "mesh3d.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="mesh3d", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="mesh3d", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="mesh3d", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="mesh3d", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="mesh3d", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlphahullValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="alphahull", parent_name="mesh3d", **kwargs):
-        super(AlphahullValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zcalendar import ZcalendarValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._vertexcolorsrc import VertexcolorsrcValidator
+    from ._vertexcolor import VertexcolorValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lightposition import LightpositionValidator
+    from ._lighting import LightingValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._ksrc import KsrcValidator
+    from ._k import KValidator
+    from ._jsrc import JsrcValidator
+    from ._j import JValidator
+    from ._isrc import IsrcValidator
+    from ._intensitysrc import IntensitysrcValidator
+    from ._intensitymode import IntensitymodeValidator
+    from ._intensity import IntensityValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._i import IValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._flatshading import FlatshadingValidator
+    from ._facecolorsrc import FacecolorsrcValidator
+    from ._facecolor import FacecolorValidator
+    from ._delaunayaxis import DelaunayaxisValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contour import ContourValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+    from ._alphahull import AlphahullValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zcalendar.ZcalendarValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._vertexcolorsrc.VertexcolorsrcValidator",
+            "._vertexcolor.VertexcolorValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lightposition.LightpositionValidator",
+            "._lighting.LightingValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._ksrc.KsrcValidator",
+            "._k.KValidator",
+            "._jsrc.JsrcValidator",
+            "._j.JValidator",
+            "._isrc.IsrcValidator",
+            "._intensitysrc.IntensitysrcValidator",
+            "._intensitymode.IntensitymodeValidator",
+            "._intensity.IntensityValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._i.IValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._flatshading.FlatshadingValidator",
+            "._facecolorsrc.FacecolorsrcValidator",
+            "._facecolor.FacecolorValidator",
+            "._delaunayaxis.DelaunayaxisValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contour.ContourValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+            "._alphahull.AlphahullValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_alphahull.py b/packages/python/plotly/plotly/validators/mesh3d/_alphahull.py
new file mode 100644
index 00000000000..78899a34396
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_alphahull.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlphahullValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="alphahull", parent_name="mesh3d", **kwargs):
+        super(AlphahullValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_autocolorscale.py b/packages/python/plotly/plotly/validators/mesh3d/_autocolorscale.py
new file mode 100644
index 00000000000..d812fac1d8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="mesh3d", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_cauto.py b/packages/python/plotly/plotly/validators/mesh3d/_cauto.py
new file mode 100644
index 00000000000..abed64c371e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="mesh3d", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_cmax.py b/packages/python/plotly/plotly/validators/mesh3d/_cmax.py
new file mode 100644
index 00000000000..9bb897523ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="mesh3d", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_cmid.py b/packages/python/plotly/plotly/validators/mesh3d/_cmid.py
new file mode 100644
index 00000000000..2565184c1bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="mesh3d", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_cmin.py b/packages/python/plotly/plotly/validators/mesh3d/_cmin.py
new file mode 100644
index 00000000000..c4c3951a1f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="mesh3d", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_color.py b/packages/python/plotly/plotly/validators/mesh3d/_color.py
new file mode 100644
index 00000000000..a1d72ada004
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="mesh3d", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "mesh3d.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_coloraxis.py b/packages/python/plotly/plotly/validators/mesh3d/_coloraxis.py
new file mode 100644
index 00000000000..41a3ff51427
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="mesh3d", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_colorbar.py b/packages/python/plotly/plotly/validators/mesh3d/_colorbar.py
new file mode 100644
index 00000000000..37bf4074054
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="mesh3d", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.mesh3d.
+                colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.mesh3d.colorbar.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of mesh3d.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.mesh3d.colorbar.Ti
+                tle` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                mesh3d.colorbar.title.font instead. Sets this
+                color bar's title font. Note that the title's
+                font used to be set by the now deprecated
+                `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                mesh3d.colorbar.title.side instead. Determines
+                the location of color bar's title with respect
+                to the color bar. Note that the title's
+                location used to be set by the now deprecated
+                `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_colorscale.py b/packages/python/plotly/plotly/validators/mesh3d/_colorscale.py
new file mode 100644
index 00000000000..bed88fbfd3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="mesh3d", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_contour.py b/packages/python/plotly/plotly/validators/mesh3d/_contour.py
new file mode 100644
index 00000000000..74b4968b8c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_contour.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contour", parent_name="mesh3d", **kwargs):
+        super(ContourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour lines.
+            show
+                Sets whether or not dynamic contours are shown
+                on hover
+            width
+                Sets the width of the contour lines.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_customdata.py b/packages/python/plotly/plotly/validators/mesh3d/_customdata.py
new file mode 100644
index 00000000000..644bd49d2a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="mesh3d", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_customdatasrc.py b/packages/python/plotly/plotly/validators/mesh3d/_customdatasrc.py
new file mode 100644
index 00000000000..8b1814280bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="mesh3d", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_delaunayaxis.py b/packages/python/plotly/plotly/validators/mesh3d/_delaunayaxis.py
new file mode 100644
index 00000000000..002f0bfb2fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_delaunayaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DelaunayaxisValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="delaunayaxis", parent_name="mesh3d", **kwargs):
+        super(DelaunayaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["x", "y", "z"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_facecolor.py b/packages/python/plotly/plotly/validators/mesh3d/_facecolor.py
new file mode 100644
index 00000000000..9e75ff89616
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_facecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FacecolorValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="facecolor", parent_name="mesh3d", **kwargs):
+        super(FacecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_facecolorsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_facecolorsrc.py
new file mode 100644
index 00000000000..aa68207e519
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_facecolorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FacecolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="facecolorsrc", parent_name="mesh3d", **kwargs):
+        super(FacecolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_flatshading.py b/packages/python/plotly/plotly/validators/mesh3d/_flatshading.py
new file mode 100644
index 00000000000..807f7b063f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_flatshading.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="flatshading", parent_name="mesh3d", **kwargs):
+        super(FlatshadingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hoverinfo.py b/packages/python/plotly/plotly/validators/mesh3d/_hoverinfo.py
new file mode 100644
index 00000000000..5d661dd47f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="mesh3d", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/mesh3d/_hoverinfosrc.py
new file mode 100644
index 00000000000..23e4598df6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="mesh3d", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hoverlabel.py b/packages/python/plotly/plotly/validators/mesh3d/_hoverlabel.py
new file mode 100644
index 00000000000..0642a6f7350
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="mesh3d", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hovertemplate.py b/packages/python/plotly/plotly/validators/mesh3d/_hovertemplate.py
new file mode 100644
index 00000000000..36a917c7cd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="mesh3d", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/mesh3d/_hovertemplatesrc.py
new file mode 100644
index 00000000000..4b6dd49aa41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="mesh3d", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hovertext.py b/packages/python/plotly/plotly/validators/mesh3d/_hovertext.py
new file mode 100644
index 00000000000..64dc7b06f72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="mesh3d", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_hovertextsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_hovertextsrc.py
new file mode 100644
index 00000000000..b77606013ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="mesh3d", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_i.py b/packages/python/plotly/plotly/validators/mesh3d/_i.py
new file mode 100644
index 00000000000..13ba2be924e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_i.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="i", parent_name="mesh3d", **kwargs):
+        super(IValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_ids.py b/packages/python/plotly/plotly/validators/mesh3d/_ids.py
new file mode 100644
index 00000000000..e97a375192f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="mesh3d", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_idssrc.py b/packages/python/plotly/plotly/validators/mesh3d/_idssrc.py
new file mode 100644
index 00000000000..7e808cc1bd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="mesh3d", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_intensity.py b/packages/python/plotly/plotly/validators/mesh3d/_intensity.py
new file mode 100644
index 00000000000..b09156f607d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_intensity.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IntensityValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="intensity", parent_name="mesh3d", **kwargs):
+        super(IntensityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_intensitymode.py b/packages/python/plotly/plotly/validators/mesh3d/_intensitymode.py
new file mode 100644
index 00000000000..a4f39fd158a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_intensitymode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IntensitymodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="intensitymode", parent_name="mesh3d", **kwargs):
+        super(IntensitymodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["vertex", "cell"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_intensitysrc.py b/packages/python/plotly/plotly/validators/mesh3d/_intensitysrc.py
new file mode 100644
index 00000000000..c695584f617
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_intensitysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IntensitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="intensitysrc", parent_name="mesh3d", **kwargs):
+        super(IntensitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_isrc.py b/packages/python/plotly/plotly/validators/mesh3d/_isrc.py
new file mode 100644
index 00000000000..cb5d2083351
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_isrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="isrc", parent_name="mesh3d", **kwargs):
+        super(IsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_j.py b/packages/python/plotly/plotly/validators/mesh3d/_j.py
new file mode 100644
index 00000000000..99963db6dc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_j.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class JValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="j", parent_name="mesh3d", **kwargs):
+        super(JValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_jsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_jsrc.py
new file mode 100644
index 00000000000..95e434ea8e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_jsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class JsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="jsrc", parent_name="mesh3d", **kwargs):
+        super(JsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_k.py b/packages/python/plotly/plotly/validators/mesh3d/_k.py
new file mode 100644
index 00000000000..90031cfe179
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_k.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class KValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="k", parent_name="mesh3d", **kwargs):
+        super(KValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_ksrc.py b/packages/python/plotly/plotly/validators/mesh3d/_ksrc.py
new file mode 100644
index 00000000000..29344ad980c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_ksrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class KsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ksrc", parent_name="mesh3d", **kwargs):
+        super(KsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_legendgroup.py b/packages/python/plotly/plotly/validators/mesh3d/_legendgroup.py
new file mode 100644
index 00000000000..c1d48684514
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="mesh3d", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_lighting.py b/packages/python/plotly/plotly/validators/mesh3d/_lighting.py
new file mode 100644
index 00000000000..0a5b0a6e618
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_lighting.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lighting", parent_name="mesh3d", **kwargs):
+        super(LightingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lighting"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            ambient
+                Ambient light increases overall color
+                visibility but can wash out the image.
+            diffuse
+                Represents the extent that incident rays are
+                reflected in a range of angles.
+            facenormalsepsilon
+                Epsilon for face normals calculation avoids
+                math issues arising from degenerate geometry.
+            fresnel
+                Represents the reflectance as a dependency of
+                the viewing angle; e.g. paper is reflective
+                when viewing it from the edge of the paper
+                (almost 90 degrees), causing shine.
+            roughness
+                Alters specular reflection; the rougher the
+                surface, the wider and less contrasty the
+                shine.
+            specular
+                Represents the level that incident rays are
+                reflected in a single direction, causing shine.
+            vertexnormalsepsilon
+                Epsilon for vertex normals calculation avoids
+                math issues arising from degenerate geometry.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_lightposition.py b/packages/python/plotly/plotly/validators/mesh3d/_lightposition.py
new file mode 100644
index 00000000000..153670af30b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_lightposition.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lightposition", parent_name="mesh3d", **kwargs):
+        super(LightpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Numeric vector, representing the X coordinate
+                for each vertex.
+            y
+                Numeric vector, representing the Y coordinate
+                for each vertex.
+            z
+                Numeric vector, representing the Z coordinate
+                for each vertex.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_meta.py b/packages/python/plotly/plotly/validators/mesh3d/_meta.py
new file mode 100644
index 00000000000..cbbf6e7608e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="mesh3d", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_metasrc.py b/packages/python/plotly/plotly/validators/mesh3d/_metasrc.py
new file mode 100644
index 00000000000..8630dfd831f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="mesh3d", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_name.py b/packages/python/plotly/plotly/validators/mesh3d/_name.py
new file mode 100644
index 00000000000..1c101e35d64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="mesh3d", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_opacity.py b/packages/python/plotly/plotly/validators/mesh3d/_opacity.py
new file mode 100644
index 00000000000..090ce27c3ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="mesh3d", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_reversescale.py b/packages/python/plotly/plotly/validators/mesh3d/_reversescale.py
new file mode 100644
index 00000000000..ac5502b635f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="mesh3d", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_scene.py b/packages/python/plotly/plotly/validators/mesh3d/_scene.py
new file mode 100644
index 00000000000..aa47f67bb46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="mesh3d", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_showlegend.py b/packages/python/plotly/plotly/validators/mesh3d/_showlegend.py
new file mode 100644
index 00000000000..b41ad65f660
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="mesh3d", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_showscale.py b/packages/python/plotly/plotly/validators/mesh3d/_showscale.py
new file mode 100644
index 00000000000..0c21e9ee9a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="mesh3d", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_stream.py b/packages/python/plotly/plotly/validators/mesh3d/_stream.py
new file mode 100644
index 00000000000..581d34d608e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="mesh3d", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_text.py b/packages/python/plotly/plotly/validators/mesh3d/_text.py
new file mode 100644
index 00000000000..3254bd7b4ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="mesh3d", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_textsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_textsrc.py
new file mode 100644
index 00000000000..2323c5307bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="mesh3d", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_uid.py b/packages/python/plotly/plotly/validators/mesh3d/_uid.py
new file mode 100644
index 00000000000..7acc612641e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="mesh3d", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_uirevision.py b/packages/python/plotly/plotly/validators/mesh3d/_uirevision.py
new file mode 100644
index 00000000000..76675dcf301
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="mesh3d", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_vertexcolor.py b/packages/python/plotly/plotly/validators/mesh3d/_vertexcolor.py
new file mode 100644
index 00000000000..d0f5679a8c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_vertexcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VertexcolorValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="vertexcolor", parent_name="mesh3d", **kwargs):
+        super(VertexcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_vertexcolorsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_vertexcolorsrc.py
new file mode 100644
index 00000000000..668c6ff09a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_vertexcolorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VertexcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="vertexcolorsrc", parent_name="mesh3d", **kwargs):
+        super(VertexcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_visible.py b/packages/python/plotly/plotly/validators/mesh3d/_visible.py
new file mode 100644
index 00000000000..79472870ae2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="mesh3d", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_x.py b/packages/python/plotly/plotly/validators/mesh3d/_x.py
new file mode 100644
index 00000000000..723f48d3270
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="mesh3d", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_xcalendar.py b/packages/python/plotly/plotly/validators/mesh3d/_xcalendar.py
new file mode 100644
index 00000000000..567cd10c311
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="mesh3d", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_xsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_xsrc.py
new file mode 100644
index 00000000000..658b649821e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="mesh3d", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_y.py b/packages/python/plotly/plotly/validators/mesh3d/_y.py
new file mode 100644
index 00000000000..4de4f993f7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="mesh3d", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_ycalendar.py b/packages/python/plotly/plotly/validators/mesh3d/_ycalendar.py
new file mode 100644
index 00000000000..e30ff3acc11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="mesh3d", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_ysrc.py b/packages/python/plotly/plotly/validators/mesh3d/_ysrc.py
new file mode 100644
index 00000000000..fc4809908fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="mesh3d", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_z.py b/packages/python/plotly/plotly/validators/mesh3d/_z.py
new file mode 100644
index 00000000000..0de5ff8ffc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="mesh3d", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_zcalendar.py b/packages/python/plotly/plotly/validators/mesh3d/_zcalendar.py
new file mode 100644
index 00000000000..dbda81c97f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_zcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class ZcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="zcalendar", parent_name="mesh3d", **kwargs):
+        super(ZcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/_zsrc.py b/packages/python/plotly/plotly/validators/mesh3d/_zsrc.py
new file mode 100644
index 00000000000..105955fb564
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="mesh3d", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/__init__.py
index de370c9036b..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/__init__.py
@@ -1,730 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="mesh3d.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="mesh3d.colorbar", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="mesh3d.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="mesh3d.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="mesh3d.colorbar", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="mesh3d.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="mesh3d.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="mesh3d.colorbar", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="mesh3d.colorbar", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="mesh3d.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="mesh3d.colorbar", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="mesh3d.colorbar", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="mesh3d.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="mesh3d.colorbar", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="mesh3d.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="mesh3d.colorbar", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="mesh3d.colorbar", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="mesh3d.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="mesh3d.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="mesh3d.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="mesh3d.colorbar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..9667a309140
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="mesh3d.colorbar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..8a9f29728e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..ad96ee72e58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_dtick.py
new file mode 100644
index 00000000000..531af499166
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="mesh3d.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..3b3accf349d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_len.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_len.py
new file mode 100644
index 00000000000..f9d49c4306b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="mesh3d.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_lenmode.py
new file mode 100644
index 00000000000..7052c894149
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="mesh3d.colorbar", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_nticks.py
new file mode 100644
index 00000000000..a191b8c07d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="mesh3d.colorbar", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..061d7d8e082
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..74c7b4f0dea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..66545a30fd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showexponent.py
new file mode 100644
index 00000000000..97fbcc91fd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..993c648b65a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..e71fb09e0e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..da29a946e3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thickness.py
new file mode 100644
index 00000000000..4a289164b5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..2af7c5d5967
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tick0.py
new file mode 100644
index 00000000000..ff8488eb275
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="mesh3d.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickangle.py
new file mode 100644
index 00000000000..6b5717c007c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..005acc01283
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickfont.py
new file mode 100644
index 00000000000..798958d5f17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="mesh3d.colorbar", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformat.py
new file mode 100644
index 00000000000..6878735620e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..0fdd5aaabe8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="mesh3d.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..a39c928f60f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticklen.py
new file mode 100644
index 00000000000..71bb65aefa2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="mesh3d.colorbar", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickmode.py
new file mode 100644
index 00000000000..956007f9bf4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="mesh3d.colorbar", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..5f42a44c859
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticks.py
new file mode 100644
index 00000000000..0facd7f9f5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="mesh3d.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..194619c736b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticktext.py
new file mode 100644
index 00000000000..ca917dd020a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="mesh3d.colorbar", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..46c69d138c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickvals.py
new file mode 100644
index 00000000000..feeb0093411
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="mesh3d.colorbar", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..db9d2218721
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..a4d63951f58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="mesh3d.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_title.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_title.py
new file mode 100644
index 00000000000..37d1b5d98dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="mesh3d.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_x.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_x.py
new file mode 100644
index 00000000000..f977affc7d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="mesh3d.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_xanchor.py
new file mode 100644
index 00000000000..ac77086cd0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="mesh3d.colorbar", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_xpad.py
new file mode 100644
index 00000000000..034060dd45c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="mesh3d.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_y.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_y.py
new file mode 100644
index 00000000000..96bcb459eec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="mesh3d.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_yanchor.py
new file mode 100644
index 00000000000..8fbeacf05c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="mesh3d.colorbar", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ypad.py
new file mode 100644
index 00000000000..d15f7cd5f4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="mesh3d.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/__init__.py
index 6a33e85a7ef..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="mesh3d.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="mesh3d.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="mesh3d.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..85536a6b54f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="mesh3d.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..e636c77675b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="mesh3d.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..49c3410904b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="mesh3d.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/__init__.py
index abc7762390d..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/__init__.py
@@ -1,97 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="mesh3d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="mesh3d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="mesh3d.colorbar.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="mesh3d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="mesh3d.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..9ca66343224
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="mesh3d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..203b326aa2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="mesh3d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..2c1f553d2b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="mesh3d.colorbar.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..89aacb45f96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="mesh3d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..94beec8f2f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="mesh3d.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/__init__.py
index a224a82dbd1..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="mesh3d.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="mesh3d.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="mesh3d.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_font.py
new file mode 100644
index 00000000000..fb1fde45c1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="mesh3d.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_side.py
new file mode 100644
index 00000000000..4ece13aa710
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="mesh3d.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_text.py
new file mode 100644
index 00000000000..edb28e26efc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="mesh3d.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/__init__.py
index a6e0112249c..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="mesh3d.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="mesh3d.colorbar.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="mesh3d.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..203bbeb3647
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="mesh3d.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..36186b7aa8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="mesh3d.colorbar.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..d71684f874f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="mesh3d.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/contour/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/contour/__init__.py
index 0f90a401b86..e59b78ead51 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/contour/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/contour/__init__.py
@@ -1,42 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="mesh3d.contour", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="mesh3d.contour", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="mesh3d.contour", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._show import ShowValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._show.ShowValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/contour/_color.py b/packages/python/plotly/plotly/validators/mesh3d/contour/_color.py
new file mode 100644
index 00000000000..d0ebcf7d7f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/contour/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="mesh3d.contour", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/contour/_show.py b/packages/python/plotly/plotly/validators/mesh3d/contour/_show.py
new file mode 100644
index 00000000000..c2bdb557e3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/contour/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="mesh3d.contour", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/contour/_width.py b/packages/python/plotly/plotly/validators/mesh3d/contour/_width.py
new file mode 100644
index 00000000000..567e9a5ba4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/contour/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="mesh3d.contour", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/__init__.py
index 587b0f48edb..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="mesh3d.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="mesh3d.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="mesh3d.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_align.py
new file mode 100644
index 00000000000..89ad847f6d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="mesh3d.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..697e73c5295
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..968d5b3c34c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..a953b757215
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..32d45c70f74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..6dece0f8ab3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_font.py
new file mode 100644
index 00000000000..b4939942862
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="mesh3d.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..e8411a749e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..2291f3c6c09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="mesh3d.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/__init__.py
index 696d9a4047f..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="mesh3d.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="mesh3d.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="mesh3d.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="mesh3d.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="mesh3d.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="mesh3d.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..f6c130609d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="mesh3d.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..ba5f77dd0fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="mesh3d.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..157fb303bfb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="mesh3d.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b5e86d20720
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="mesh3d.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..c2981638305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="mesh3d.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..772c0639eb0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="mesh3d.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/__init__.py
index e1f52876012..12f1cf66154 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/lighting/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/__init__.py
@@ -1,119 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="vertexnormalsepsilon",
-        parent_name="mesh3d.lighting",
-        **kwargs
-    ):
-        super(VertexnormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="specular", parent_name="mesh3d.lighting", **kwargs):
-        super(SpecularValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="roughness", parent_name="mesh3d.lighting", **kwargs
-    ):
-        super(RoughnessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fresnel", parent_name="mesh3d.lighting", **kwargs):
-        super(FresnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="facenormalsepsilon", parent_name="mesh3d.lighting", **kwargs
-    ):
-        super(FacenormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="diffuse", parent_name="mesh3d.lighting", **kwargs):
-        super(DiffuseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ambient", parent_name="mesh3d.lighting", **kwargs):
-        super(AmbientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._vertexnormalsepsilon import VertexnormalsepsilonValidator
+    from ._specular import SpecularValidator
+    from ._roughness import RoughnessValidator
+    from ._fresnel import FresnelValidator
+    from ._facenormalsepsilon import FacenormalsepsilonValidator
+    from ._diffuse import DiffuseValidator
+    from ._ambient import AmbientValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._vertexnormalsepsilon.VertexnormalsepsilonValidator",
+            "._specular.SpecularValidator",
+            "._roughness.RoughnessValidator",
+            "._fresnel.FresnelValidator",
+            "._facenormalsepsilon.FacenormalsepsilonValidator",
+            "._diffuse.DiffuseValidator",
+            "._ambient.AmbientValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_ambient.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_ambient.py
new file mode 100644
index 00000000000..076067988f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_ambient.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ambient", parent_name="mesh3d.lighting", **kwargs):
+        super(AmbientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_diffuse.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_diffuse.py
new file mode 100644
index 00000000000..2416267ab6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_diffuse.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="diffuse", parent_name="mesh3d.lighting", **kwargs):
+        super(DiffuseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_facenormalsepsilon.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_facenormalsepsilon.py
new file mode 100644
index 00000000000..1f7d74c2e61
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_facenormalsepsilon.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="facenormalsepsilon", parent_name="mesh3d.lighting", **kwargs
+    ):
+        super(FacenormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_fresnel.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_fresnel.py
new file mode 100644
index 00000000000..486cb2db041
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_fresnel.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fresnel", parent_name="mesh3d.lighting", **kwargs):
+        super(FresnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_roughness.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_roughness.py
new file mode 100644
index 00000000000..0576e09a347
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_roughness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="roughness", parent_name="mesh3d.lighting", **kwargs
+    ):
+        super(RoughnessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_specular.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_specular.py
new file mode 100644
index 00000000000..b126e9912c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_specular.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="specular", parent_name="mesh3d.lighting", **kwargs):
+        super(SpecularValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lighting/_vertexnormalsepsilon.py b/packages/python/plotly/plotly/validators/mesh3d/lighting/_vertexnormalsepsilon.py
new file mode 100644
index 00000000000..068e5fedbc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lighting/_vertexnormalsepsilon.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="vertexnormalsepsilon",
+        parent_name="mesh3d.lighting",
+        **kwargs
+    ):
+        super(VertexnormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lightposition/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/lightposition/__init__.py
index 28cd69c845e..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/lightposition/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/lightposition/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="z", parent_name="mesh3d.lightposition", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="mesh3d.lightposition", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="mesh3d.lightposition", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lightposition/_x.py b/packages/python/plotly/plotly/validators/mesh3d/lightposition/_x.py
new file mode 100644
index 00000000000..607535cd110
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lightposition/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="mesh3d.lightposition", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lightposition/_y.py b/packages/python/plotly/plotly/validators/mesh3d/lightposition/_y.py
new file mode 100644
index 00000000000..26ae0973174
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lightposition/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="mesh3d.lightposition", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/lightposition/_z.py b/packages/python/plotly/plotly/validators/mesh3d/lightposition/_z.py
new file mode 100644
index 00000000000..b7e2ef72581
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/lightposition/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="z", parent_name="mesh3d.lightposition", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/stream/__init__.py b/packages/python/plotly/plotly/validators/mesh3d/stream/__init__.py
index b503ad139ea..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/mesh3d/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/mesh3d/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="mesh3d.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="mesh3d.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/mesh3d/stream/_maxpoints.py
new file mode 100644
index 00000000000..8e28ef7e7b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="mesh3d.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/mesh3d/stream/_token.py b/packages/python/plotly/plotly/validators/mesh3d/stream/_token.py
new file mode 100644
index 00000000000..e823d0c971e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/mesh3d/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="mesh3d.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/__init__.py b/packages/python/plotly/plotly/validators/ohlc/__init__.py
index 52d4c362129..b2d9e3d7bee 100644
--- a/packages/python/plotly/plotly/validators/ohlc/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/__init__.py
@@ -1,664 +1,90 @@
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="ohlc", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="ohlc", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="ohlc", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="ohlc", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="ohlc", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="ohlc", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="ohlc", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="ohlc", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="tickwidth", parent_name="ohlc", **kwargs):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 0.5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="ohlc", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="ohlc", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="ohlc", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="ohlc", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="ohlc", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpensrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="opensrc", parent_name="ohlc", **kwargs):
-        super(OpensrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpenValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="open", parent_name="ohlc", **kwargs):
-        super(OpenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="ohlc", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="ohlc", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="ohlc", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="ohlc", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="lowsrc", parent_name="ohlc", **kwargs):
-        super(LowsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LowValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="low", parent_name="ohlc", **kwargs):
-        super(LowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="ohlc", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-                Note that this style setting can also be set
-                per direction via `increasing.line.dash` and
-                `decreasing.line.dash`.
-            width
-                [object Object] Note that this style setting
-                can also be set per direction via
-                `increasing.line.width` and
-                `decreasing.line.width`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="ohlc", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="increasing", parent_name="ohlc", **kwargs):
-        super(IncreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Increasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            line
-                :class:`plotly.graph_objects.ohlc.increasing.Li
-                ne` instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="ohlc", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="ohlc", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="ohlc", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="ohlc", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="ohlc", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-            split
-                Show hover information (open, close, high, low)
-                in separate labels.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="ohlc", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="ohlc", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="highsrc", parent_name="ohlc", **kwargs):
-        super(HighsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="high", parent_name="ohlc", **kwargs):
-        super(HighValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="decreasing", parent_name="ohlc", **kwargs):
-        super(DecreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            line
-                :class:`plotly.graph_objects.ohlc.decreasing.Li
-                ne` instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="ohlc", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="ohlc", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ClosesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="closesrc", parent_name="ohlc", **kwargs):
-        super(ClosesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CloseValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="close", parent_name="ohlc", **kwargs):
-        super(CloseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxis import YaxisValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tickwidth import TickwidthValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._opensrc import OpensrcValidator
+    from ._open import OpenValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lowsrc import LowsrcValidator
+    from ._low import LowValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._increasing import IncreasingValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._highsrc import HighsrcValidator
+    from ._high import HighValidator
+    from ._decreasing import DecreasingValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._closesrc import ClosesrcValidator
+    from ._close import CloseValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yaxis.YaxisValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tickwidth.TickwidthValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._opensrc.OpensrcValidator",
+            "._open.OpenValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lowsrc.LowsrcValidator",
+            "._low.LowValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._increasing.IncreasingValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._highsrc.HighsrcValidator",
+            "._high.HighValidator",
+            "._decreasing.DecreasingValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._closesrc.ClosesrcValidator",
+            "._close.CloseValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_close.py b/packages/python/plotly/plotly/validators/ohlc/_close.py
new file mode 100644
index 00000000000..abb27db914d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_close.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CloseValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="close", parent_name="ohlc", **kwargs):
+        super(CloseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_closesrc.py b/packages/python/plotly/plotly/validators/ohlc/_closesrc.py
new file mode 100644
index 00000000000..d215b1037e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_closesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ClosesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="closesrc", parent_name="ohlc", **kwargs):
+        super(ClosesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_customdata.py b/packages/python/plotly/plotly/validators/ohlc/_customdata.py
new file mode 100644
index 00000000000..c3c4ae36674
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="ohlc", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_customdatasrc.py b/packages/python/plotly/plotly/validators/ohlc/_customdatasrc.py
new file mode 100644
index 00000000000..3fb923a513b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="ohlc", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_decreasing.py b/packages/python/plotly/plotly/validators/ohlc/_decreasing.py
new file mode 100644
index 00000000000..145b35d686e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_decreasing.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="decreasing", parent_name="ohlc", **kwargs):
+        super(DecreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            line
+                :class:`plotly.graph_objects.ohlc.decreasing.Li
+                ne` instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_high.py b/packages/python/plotly/plotly/validators/ohlc/_high.py
new file mode 100644
index 00000000000..05174d8824d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_high.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HighValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="high", parent_name="ohlc", **kwargs):
+        super(HighValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_highsrc.py b/packages/python/plotly/plotly/validators/ohlc/_highsrc.py
new file mode 100644
index 00000000000..5101dbe3cb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_highsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HighsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="highsrc", parent_name="ohlc", **kwargs):
+        super(HighsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_hoverinfo.py b/packages/python/plotly/plotly/validators/ohlc/_hoverinfo.py
new file mode 100644
index 00000000000..e267555058d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="ohlc", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/ohlc/_hoverinfosrc.py
new file mode 100644
index 00000000000..2a51489cac1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="ohlc", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_hoverlabel.py b/packages/python/plotly/plotly/validators/ohlc/_hoverlabel.py
new file mode 100644
index 00000000000..8b947f19107
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_hoverlabel.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="ohlc", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+            split
+                Show hover information (open, close, high, low)
+                in separate labels.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_hovertext.py b/packages/python/plotly/plotly/validators/ohlc/_hovertext.py
new file mode 100644
index 00000000000..aefab617cf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="ohlc", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_hovertextsrc.py b/packages/python/plotly/plotly/validators/ohlc/_hovertextsrc.py
new file mode 100644
index 00000000000..f2c81375bc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="ohlc", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_ids.py b/packages/python/plotly/plotly/validators/ohlc/_ids.py
new file mode 100644
index 00000000000..23d4d1372ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="ohlc", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_idssrc.py b/packages/python/plotly/plotly/validators/ohlc/_idssrc.py
new file mode 100644
index 00000000000..e69a906a6bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="ohlc", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_increasing.py b/packages/python/plotly/plotly/validators/ohlc/_increasing.py
new file mode 100644
index 00000000000..16b567ea534
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_increasing.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="increasing", parent_name="ohlc", **kwargs):
+        super(IncreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Increasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            line
+                :class:`plotly.graph_objects.ohlc.increasing.Li
+                ne` instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_legendgroup.py b/packages/python/plotly/plotly/validators/ohlc/_legendgroup.py
new file mode 100644
index 00000000000..cc23df71ed0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="ohlc", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_line.py b/packages/python/plotly/plotly/validators/ohlc/_line.py
new file mode 100644
index 00000000000..21cc88b8704
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_line.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="ohlc", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+                Note that this style setting can also be set
+                per direction via `increasing.line.dash` and
+                `decreasing.line.dash`.
+            width
+                [object Object] Note that this style setting
+                can also be set per direction via
+                `increasing.line.width` and
+                `decreasing.line.width`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_low.py b/packages/python/plotly/plotly/validators/ohlc/_low.py
new file mode 100644
index 00000000000..f172336f840
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_low.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LowValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="low", parent_name="ohlc", **kwargs):
+        super(LowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_lowsrc.py b/packages/python/plotly/plotly/validators/ohlc/_lowsrc.py
new file mode 100644
index 00000000000..8358b8fdf80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_lowsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="lowsrc", parent_name="ohlc", **kwargs):
+        super(LowsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_meta.py b/packages/python/plotly/plotly/validators/ohlc/_meta.py
new file mode 100644
index 00000000000..d6542d840cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="ohlc", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_metasrc.py b/packages/python/plotly/plotly/validators/ohlc/_metasrc.py
new file mode 100644
index 00000000000..b11ec2a7250
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="ohlc", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_name.py b/packages/python/plotly/plotly/validators/ohlc/_name.py
new file mode 100644
index 00000000000..f5279ed2009
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="ohlc", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_opacity.py b/packages/python/plotly/plotly/validators/ohlc/_opacity.py
new file mode 100644
index 00000000000..96a13efc4f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="ohlc", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_open.py b/packages/python/plotly/plotly/validators/ohlc/_open.py
new file mode 100644
index 00000000000..ea5398f3a48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_open.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpenValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="open", parent_name="ohlc", **kwargs):
+        super(OpenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_opensrc.py b/packages/python/plotly/plotly/validators/ohlc/_opensrc.py
new file mode 100644
index 00000000000..369ad3f0fdd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_opensrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpensrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="opensrc", parent_name="ohlc", **kwargs):
+        super(OpensrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_selectedpoints.py b/packages/python/plotly/plotly/validators/ohlc/_selectedpoints.py
new file mode 100644
index 00000000000..860561d3efc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="ohlc", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_showlegend.py b/packages/python/plotly/plotly/validators/ohlc/_showlegend.py
new file mode 100644
index 00000000000..3a97608806c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="ohlc", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_stream.py b/packages/python/plotly/plotly/validators/ohlc/_stream.py
new file mode 100644
index 00000000000..04db29113fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="ohlc", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_text.py b/packages/python/plotly/plotly/validators/ohlc/_text.py
new file mode 100644
index 00000000000..89bc7388bd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="ohlc", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_textsrc.py b/packages/python/plotly/plotly/validators/ohlc/_textsrc.py
new file mode 100644
index 00000000000..2077e48f800
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="ohlc", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_tickwidth.py b/packages/python/plotly/plotly/validators/ohlc/_tickwidth.py
new file mode 100644
index 00000000000..5cdeab81bad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_tickwidth.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="tickwidth", parent_name="ohlc", **kwargs):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 0.5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_uid.py b/packages/python/plotly/plotly/validators/ohlc/_uid.py
new file mode 100644
index 00000000000..7b23d209743
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="ohlc", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_uirevision.py b/packages/python/plotly/plotly/validators/ohlc/_uirevision.py
new file mode 100644
index 00000000000..9859f4a5a31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="ohlc", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_visible.py b/packages/python/plotly/plotly/validators/ohlc/_visible.py
new file mode 100644
index 00000000000..00d772a0d45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="ohlc", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_x.py b/packages/python/plotly/plotly/validators/ohlc/_x.py
new file mode 100644
index 00000000000..ee60667941a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="ohlc", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_xaxis.py b/packages/python/plotly/plotly/validators/ohlc/_xaxis.py
new file mode 100644
index 00000000000..ca4a810ac6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="ohlc", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_xcalendar.py b/packages/python/plotly/plotly/validators/ohlc/_xcalendar.py
new file mode 100644
index 00000000000..ccbc5097ea7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="ohlc", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_xsrc.py b/packages/python/plotly/plotly/validators/ohlc/_xsrc.py
new file mode 100644
index 00000000000..44d1d5010ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="ohlc", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/_yaxis.py b/packages/python/plotly/plotly/validators/ohlc/_yaxis.py
new file mode 100644
index 00000000000..fe1d69bffb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="ohlc", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/decreasing/__init__.py b/packages/python/plotly/plotly/validators/ohlc/decreasing/__init__.py
index e4c06b8db8e..5dc13c03975 100644
--- a/packages/python/plotly/plotly/validators/ohlc/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/decreasing/__init__.py
@@ -1,25 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="ohlc.decreasing", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/decreasing/_line.py b/packages/python/plotly/plotly/validators/ohlc/decreasing/_line.py
new file mode 100644
index 00000000000..e4c06b8db8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/decreasing/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="ohlc.decreasing", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/decreasing/line/__init__.py b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/__init__.py
index d0bf93c3a9e..ac8bd485063 100644
--- a/packages/python/plotly/plotly/validators/ohlc/decreasing/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/__init__.py
@@ -1,50 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="ohlc.decreasing.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(
-        self, plotly_name="dash", parent_name="ohlc.decreasing.line", **kwargs
-    ):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="ohlc.decreasing.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._dash.DashValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_color.py b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_color.py
new file mode 100644
index 00000000000..16de300b94e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="ohlc.decreasing.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_dash.py b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_dash.py
new file mode 100644
index 00000000000..d8e1155daa8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_dash.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(
+        self, plotly_name="dash", parent_name="ohlc.decreasing.line", **kwargs
+    ):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_width.py b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_width.py
new file mode 100644
index 00000000000..babdde585be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/decreasing/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="ohlc.decreasing.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/__init__.py
index cb6a3cadc84..bfe4e0a5a95 100644
--- a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/__init__.py
@@ -1,188 +1,32 @@
-import _plotly_utils.basevalidators
-
-
-class SplitValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="split", parent_name="ohlc.hoverlabel", **kwargs):
-        super(SplitValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="ohlc.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="ohlc.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="ohlc.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="ohlc.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="ohlc.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="ohlc.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="ohlc.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="ohlc.hoverlabel", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="ohlc.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._split import SplitValidator
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._split.SplitValidator",
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_align.py
new file mode 100644
index 00000000000..c04f32a8778
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="ohlc.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..4bc5d9fcd43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="ohlc.hoverlabel", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..cfee7f4de1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="ohlc.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..3efd069cdc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="ohlc.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..4e6d92a05ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="ohlc.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..c061d893b05
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="ohlc.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_font.py
new file mode 100644
index 00000000000..0d0c0614c4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="ohlc.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..276cf8f423b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="ohlc.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..58e8f433470
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="ohlc.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_split.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_split.py
new file mode 100644
index 00000000000..d5a82a363b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/_split.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SplitValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="split", parent_name="ohlc.hoverlabel", **kwargs):
+        super(SplitValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/__init__.py
index 5b89b9d544a..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="ohlc.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="ohlc.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="ohlc.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="ohlc.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="ohlc.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="ohlc.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..ba34e5dfc95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="ohlc.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..60ddc2d9fbe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="ohlc.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..05877a133f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="ohlc.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..65d0d4d42d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="ohlc.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..3b9cee5d9c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="ohlc.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..296ebfbe02b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="ohlc.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/increasing/__init__.py b/packages/python/plotly/plotly/validators/ohlc/increasing/__init__.py
index 2dab469f810..5dc13c03975 100644
--- a/packages/python/plotly/plotly/validators/ohlc/increasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/increasing/__init__.py
@@ -1,25 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="ohlc.increasing", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/increasing/_line.py b/packages/python/plotly/plotly/validators/ohlc/increasing/_line.py
new file mode 100644
index 00000000000..2dab469f810
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/increasing/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="ohlc.increasing", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/increasing/line/__init__.py b/packages/python/plotly/plotly/validators/ohlc/increasing/line/__init__.py
index 86117af4fea..ac8bd485063 100644
--- a/packages/python/plotly/plotly/validators/ohlc/increasing/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/increasing/line/__init__.py
@@ -1,50 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="ohlc.increasing.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(
-        self, plotly_name="dash", parent_name="ohlc.increasing.line", **kwargs
-    ):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="ohlc.increasing.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._dash.DashValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/increasing/line/_color.py b/packages/python/plotly/plotly/validators/ohlc/increasing/line/_color.py
new file mode 100644
index 00000000000..98d66c8a906
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/increasing/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="ohlc.increasing.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/increasing/line/_dash.py b/packages/python/plotly/plotly/validators/ohlc/increasing/line/_dash.py
new file mode 100644
index 00000000000..f0445edd61f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/increasing/line/_dash.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(
+        self, plotly_name="dash", parent_name="ohlc.increasing.line", **kwargs
+    ):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/increasing/line/_width.py b/packages/python/plotly/plotly/validators/ohlc/increasing/line/_width.py
new file mode 100644
index 00000000000..f7efba42cef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/increasing/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="ohlc.increasing.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/line/__init__.py b/packages/python/plotly/plotly/validators/ohlc/line/__init__.py
index d25fd9a6530..fe892bbce93 100644
--- a/packages/python/plotly/plotly/validators/ohlc/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/line/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="ohlc.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="ohlc.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._dash.DashValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/line/_dash.py b/packages/python/plotly/plotly/validators/ohlc/line/_dash.py
new file mode 100644
index 00000000000..0b2bc4b8441
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="ohlc.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/line/_width.py b/packages/python/plotly/plotly/validators/ohlc/line/_width.py
new file mode 100644
index 00000000000..345d072a3d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="ohlc.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/stream/__init__.py b/packages/python/plotly/plotly/validators/ohlc/stream/__init__.py
index 0acd3b0c62c..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/ohlc/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/ohlc/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="ohlc.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="ohlc.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/ohlc/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/ohlc/stream/_maxpoints.py
new file mode 100644
index 00000000000..6f7ebf349a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="ohlc.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/ohlc/stream/_token.py b/packages/python/plotly/plotly/validators/ohlc/stream/_token.py
new file mode 100644
index 00000000000..5a2c6a48cd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/ohlc/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="ohlc.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/__init__.py b/packages/python/plotly/plotly/validators/parcats/__init__.py
index 4a74e69fc74..4faa97fb570 100644
--- a/packages/python/plotly/plotly/validators/parcats/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/__init__.py
@@ -1,565 +1,54 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="parcats", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="parcats", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="parcats", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="parcats", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="parcats", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SortpathsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="sortpaths", parent_name="parcats", **kwargs):
-        super(SortpathsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["forward", "backward"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="parcats", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="parcats", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="parcats", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="parcats", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `line.colorscale`. Has an effect
-                only if in `line.color`is set to a numerical
-                array. In case `colorscale` is unspecified or
-                `autocolorscale` is true, the default  palette
-                will be chosen according to whether numbers in
-                the `color` array are all positive, all
-                negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `line.color`) or the bounds set in
-                `line.cmin` and `line.cmax`  Has an effect only
-                if in `line.color`is set to a numerical array.
-                Defaults to `false` when `line.cmin` and
-                `line.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `line.color`is set to a
-                numerical array. Value should have the same
-                units as in `line.color` and if set,
-                `line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `line.cmin` and/or `line.cmax` to be
-                equidistant to this point. Has an effect only
-                if in `line.color`is set to a numerical array.
-                Value should have the same units as in
-                `line.color`. Has no effect when `line.cauto`
-                is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `line.color`is set to a
-                numerical array. Value should have the same
-                units as in `line.color` and if set,
-                `line.cmax` must be set as well.
-            color
-                Sets thelinecolor. It accepts either a specific
-                color or an array of numbers that are mapped to
-                the colorscale relative to the max and min
-                values of the array or relative to `line.cmin`
-                and `line.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.parcats.line.Color
-                Bar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `line.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`line.cmin` and `line.cmax`.
-                Alternatively, `colorscale` may be a palette
-                name string of the following list: Greys,YlGnBu
-                ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
-                ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
-                c,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `count` and `probability`. Anything
-                contained in tag `<extra>` is displayed in the
-                secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `line.color`is set to a
-                numerical array. If true, `line.cmin` will
-                correspond to the last color in the array and
-                `line.cmax` will correspond to the first color.
-            shape
-                Sets the shape of the paths. If `linear`, paths
-                are composed of straight lines. If `hspline`,
-                paths are composed of horizontal curved splines
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `line.color`is set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="labelfont", parent_name="parcats", **kwargs):
-        super(LabelfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="parcats", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="parcats", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["category", "color", "dimension"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="parcats", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["count", "probability"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="parcats", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this parcats trace
-                .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this parcats trace .
-            x
-                Sets the horizontal domain of this parcats
-                trace (in plot fraction).
-            y
-                Sets the vertical domain of this parcats trace
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DimensionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="dimensiondefaults", parent_name="parcats", **kwargs
-    ):
-        super(DimensionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Dimension"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="dimensions", parent_name="parcats", **kwargs):
-        super(DimensionsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Dimension"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            categoryarray
-                Sets the order in which categories in this
-                dimension appear. Only has an effect if
-                `categoryorder` is set to "array". Used with
-                `categoryorder`.
-            categoryarraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  categoryarray .
-            categoryorder
-                Specifies the ordering logic for the categories
-                in the dimension. By default, plotly uses
-                "trace", which specifies the order that is
-                present in the data supplied. Set
-                `categoryorder` to *category ascending* or
-                *category descending* if order should be
-                determined by the alphanumerical order of the
-                category names. Set `categoryorder` to "array"
-                to derive the ordering from the attribute
-                `categoryarray`. If a category is not found in
-                the `categoryarray` array, the sorting behavior
-                for that attribute will be identical to the
-                "trace" mode. The unspecified categories will
-                follow the categories in `categoryarray`.
-            displayindex
-                The display index of dimension, from left to
-                right, zero indexed, defaults to dimension
-                index.
-            label
-                The shown name of the dimension.
-            ticktext
-                Sets alternative tick labels for the categories
-                in this dimension. Only has an effect if
-                `categoryorder` is set to "array". Should be an
-                array the same length as `categoryarray` Used
-                with `categoryorder`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            values
-                Dimension values. `values[n]` represents the
-                category value of the `n`th point in the
-                dataset, therefore the `values` vector for all
-                dimensions must be the same (longer vectors
-                will be truncated).
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Shows the dimension when set to `true` (the
-                default). Hides the dimension for `false`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="countssrc", parent_name="parcats", **kwargs):
-        super(CountssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="counts", parent_name="parcats", **kwargs):
-        super(CountsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BundlecolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="bundlecolors", parent_name="parcats", **kwargs):
-        super(BundlecolorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrangementValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="arrangement", parent_name="parcats", **kwargs):
-        super(ArrangementValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["perpendicular", "freeform", "fixed"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tickfont import TickfontValidator
+    from ._stream import StreamValidator
+    from ._sortpaths import SortpathsValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._line import LineValidator
+    from ._labelfont import LabelfontValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._domain import DomainValidator
+    from ._dimensiondefaults import DimensiondefaultsValidator
+    from ._dimensions import DimensionsValidator
+    from ._countssrc import CountssrcValidator
+    from ._counts import CountsValidator
+    from ._bundlecolors import BundlecolorsValidator
+    from ._arrangement import ArrangementValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tickfont.TickfontValidator",
+            "._stream.StreamValidator",
+            "._sortpaths.SortpathsValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._line.LineValidator",
+            "._labelfont.LabelfontValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._domain.DomainValidator",
+            "._dimensiondefaults.DimensiondefaultsValidator",
+            "._dimensions.DimensionsValidator",
+            "._countssrc.CountssrcValidator",
+            "._counts.CountsValidator",
+            "._bundlecolors.BundlecolorsValidator",
+            "._arrangement.ArrangementValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/_arrangement.py b/packages/python/plotly/plotly/validators/parcats/_arrangement.py
new file mode 100644
index 00000000000..a46c9496593
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_arrangement.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ArrangementValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="arrangement", parent_name="parcats", **kwargs):
+        super(ArrangementValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["perpendicular", "freeform", "fixed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_bundlecolors.py b/packages/python/plotly/plotly/validators/parcats/_bundlecolors.py
new file mode 100644
index 00000000000..0f8c76c060c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_bundlecolors.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BundlecolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="bundlecolors", parent_name="parcats", **kwargs):
+        super(BundlecolorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_counts.py b/packages/python/plotly/plotly/validators/parcats/_counts.py
new file mode 100644
index 00000000000..068cac44033
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_counts.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CountsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="counts", parent_name="parcats", **kwargs):
+        super(CountsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_countssrc.py b/packages/python/plotly/plotly/validators/parcats/_countssrc.py
new file mode 100644
index 00000000000..cf170d469da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_countssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CountssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="countssrc", parent_name="parcats", **kwargs):
+        super(CountssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_dimensiondefaults.py b/packages/python/plotly/plotly/validators/parcats/_dimensiondefaults.py
new file mode 100644
index 00000000000..ff46faa0595
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_dimensiondefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class DimensiondefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="dimensiondefaults", parent_name="parcats", **kwargs
+    ):
+        super(DimensiondefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Dimension"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_dimensions.py b/packages/python/plotly/plotly/validators/parcats/_dimensions.py
new file mode 100644
index 00000000000..19a97fbf6bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_dimensions.py
@@ -0,0 +1,66 @@
+import _plotly_utils.basevalidators
+
+
+class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="dimensions", parent_name="parcats", **kwargs):
+        super(DimensionsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Dimension"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            categoryarray
+                Sets the order in which categories in this
+                dimension appear. Only has an effect if
+                `categoryorder` is set to "array". Used with
+                `categoryorder`.
+            categoryarraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  categoryarray .
+            categoryorder
+                Specifies the ordering logic for the categories
+                in the dimension. By default, plotly uses
+                "trace", which specifies the order that is
+                present in the data supplied. Set
+                `categoryorder` to *category ascending* or
+                *category descending* if order should be
+                determined by the alphanumerical order of the
+                category names. Set `categoryorder` to "array"
+                to derive the ordering from the attribute
+                `categoryarray`. If a category is not found in
+                the `categoryarray` array, the sorting behavior
+                for that attribute will be identical to the
+                "trace" mode. The unspecified categories will
+                follow the categories in `categoryarray`.
+            displayindex
+                The display index of dimension, from left to
+                right, zero indexed, defaults to dimension
+                index.
+            label
+                The shown name of the dimension.
+            ticktext
+                Sets alternative tick labels for the categories
+                in this dimension. Only has an effect if
+                `categoryorder` is set to "array". Should be an
+                array the same length as `categoryarray` Used
+                with `categoryorder`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            values
+                Dimension values. `values[n]` represents the
+                category value of the `n`th point in the
+                dataset, therefore the `values` vector for all
+                dimensions must be the same (longer vectors
+                will be truncated).
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Shows the dimension when set to `true` (the
+                default). Hides the dimension for `false`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_domain.py b/packages/python/plotly/plotly/validators/parcats/_domain.py
new file mode 100644
index 00000000000..c47cecdee65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="parcats", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this parcats trace
+                .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this parcats trace .
+            x
+                Sets the horizontal domain of this parcats
+                trace (in plot fraction).
+            y
+                Sets the vertical domain of this parcats trace
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_hoverinfo.py b/packages/python/plotly/plotly/validators/parcats/_hoverinfo.py
new file mode 100644
index 00000000000..e2f6cb5e6d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="parcats", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["count", "probability"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_hoveron.py b/packages/python/plotly/plotly/validators/parcats/_hoveron.py
new file mode 100644
index 00000000000..af9feb818cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_hoveron.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="parcats", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["category", "color", "dimension"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_hovertemplate.py b/packages/python/plotly/plotly/validators/parcats/_hovertemplate.py
new file mode 100644
index 00000000000..95b400aed37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_hovertemplate.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="parcats", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_labelfont.py b/packages/python/plotly/plotly/validators/parcats/_labelfont.py
new file mode 100644
index 00000000000..66f64a26454
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_labelfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="labelfont", parent_name="parcats", **kwargs):
+        super(LabelfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_line.py b/packages/python/plotly/plotly/validators/parcats/_line.py
new file mode 100644
index 00000000000..f5191552e4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_line.py
@@ -0,0 +1,135 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="parcats", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `line.colorscale`. Has an effect
+                only if in `line.color`is set to a numerical
+                array. In case `colorscale` is unspecified or
+                `autocolorscale` is true, the default  palette
+                will be chosen according to whether numbers in
+                the `color` array are all positive, all
+                negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `line.color`) or the bounds set in
+                `line.cmin` and `line.cmax`  Has an effect only
+                if in `line.color`is set to a numerical array.
+                Defaults to `false` when `line.cmin` and
+                `line.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `line.color`is set to a
+                numerical array. Value should have the same
+                units as in `line.color` and if set,
+                `line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `line.cmin` and/or `line.cmax` to be
+                equidistant to this point. Has an effect only
+                if in `line.color`is set to a numerical array.
+                Value should have the same units as in
+                `line.color`. Has no effect when `line.cauto`
+                is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `line.color`is set to a
+                numerical array. Value should have the same
+                units as in `line.color` and if set,
+                `line.cmax` must be set as well.
+            color
+                Sets thelinecolor. It accepts either a specific
+                color or an array of numbers that are mapped to
+                the colorscale relative to the max and min
+                values of the array or relative to `line.cmin`
+                and `line.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.parcats.line.Color
+                Bar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `line.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`line.cmin` and `line.cmax`.
+                Alternatively, `colorscale` may be a palette
+                name string of the following list: Greys,YlGnBu
+                ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
+                ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
+                c,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `count` and `probability`. Anything
+                contained in tag `<extra>` is displayed in the
+                secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `line.color`is set to a
+                numerical array. If true, `line.cmin` will
+                correspond to the last color in the array and
+                `line.cmax` will correspond to the first color.
+            shape
+                Sets the shape of the paths. If `linear`, paths
+                are composed of straight lines. If `hspline`,
+                paths are composed of horizontal curved splines
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `line.color`is set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_meta.py b/packages/python/plotly/plotly/validators/parcats/_meta.py
new file mode 100644
index 00000000000..898570d5d67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="parcats", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_metasrc.py b/packages/python/plotly/plotly/validators/parcats/_metasrc.py
new file mode 100644
index 00000000000..69f6ae03181
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="parcats", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_name.py b/packages/python/plotly/plotly/validators/parcats/_name.py
new file mode 100644
index 00000000000..9a46b057c3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="parcats", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_sortpaths.py b/packages/python/plotly/plotly/validators/parcats/_sortpaths.py
new file mode 100644
index 00000000000..20a415431ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_sortpaths.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SortpathsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="sortpaths", parent_name="parcats", **kwargs):
+        super(SortpathsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["forward", "backward"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_stream.py b/packages/python/plotly/plotly/validators/parcats/_stream.py
new file mode 100644
index 00000000000..666c7318dea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="parcats", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_tickfont.py b/packages/python/plotly/plotly/validators/parcats/_tickfont.py
new file mode 100644
index 00000000000..cf1e36ec9ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="parcats", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_uid.py b/packages/python/plotly/plotly/validators/parcats/_uid.py
new file mode 100644
index 00000000000..ad6676a1087
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="parcats", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_uirevision.py b/packages/python/plotly/plotly/validators/parcats/_uirevision.py
new file mode 100644
index 00000000000..d2dab719763
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="parcats", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/_visible.py b/packages/python/plotly/plotly/validators/parcats/_visible.py
new file mode 100644
index 00000000000..7a9e2273b73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="parcats", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/__init__.py b/packages/python/plotly/plotly/validators/parcats/dimension/__init__.py
index 4628aaa5149..223bd545ea2 100644
--- a/packages/python/plotly/plotly/validators/parcats/dimension/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/__init__.py
@@ -1,158 +1,32 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="parcats.dimension", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="valuessrc", parent_name="parcats.dimension", **kwargs
-    ):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="parcats.dimension", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="parcats.dimension", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="parcats.dimension", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="label", parent_name="parcats.dimension", **kwargs):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DisplayindexValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="displayindex", parent_name="parcats.dimension", **kwargs
-    ):
-        super(DisplayindexValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="categoryorder", parent_name="parcats.dimension", **kwargs
-    ):
-        super(CategoryorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["trace", "category ascending", "category descending", "array"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="categoryarraysrc", parent_name="parcats.dimension", **kwargs
-    ):
-        super(CategoryarraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="categoryarray", parent_name="parcats.dimension", **kwargs
-    ):
-        super(CategoryarrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._label import LabelValidator
+    from ._displayindex import DisplayindexValidator
+    from ._categoryorder import CategoryorderValidator
+    from ._categoryarraysrc import CategoryarraysrcValidator
+    from ._categoryarray import CategoryarrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._label.LabelValidator",
+            "._displayindex.DisplayindexValidator",
+            "._categoryorder.CategoryorderValidator",
+            "._categoryarraysrc.CategoryarraysrcValidator",
+            "._categoryarray.CategoryarrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_categoryarray.py b/packages/python/plotly/plotly/validators/parcats/dimension/_categoryarray.py
new file mode 100644
index 00000000000..5a6eecfac4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_categoryarray.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="categoryarray", parent_name="parcats.dimension", **kwargs
+    ):
+        super(CategoryarrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_categoryarraysrc.py b/packages/python/plotly/plotly/validators/parcats/dimension/_categoryarraysrc.py
new file mode 100644
index 00000000000..cbb9636a2ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_categoryarraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="categoryarraysrc", parent_name="parcats.dimension", **kwargs
+    ):
+        super(CategoryarraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_categoryorder.py b/packages/python/plotly/plotly/validators/parcats/dimension/_categoryorder.py
new file mode 100644
index 00000000000..fccc115215f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_categoryorder.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="categoryorder", parent_name="parcats.dimension", **kwargs
+    ):
+        super(CategoryorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["trace", "category ascending", "category descending", "array"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_displayindex.py b/packages/python/plotly/plotly/validators/parcats/dimension/_displayindex.py
new file mode 100644
index 00000000000..641cbda728f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_displayindex.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DisplayindexValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="displayindex", parent_name="parcats.dimension", **kwargs
+    ):
+        super(DisplayindexValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_label.py b/packages/python/plotly/plotly/validators/parcats/dimension/_label.py
new file mode 100644
index 00000000000..3c8db4648ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_label.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="label", parent_name="parcats.dimension", **kwargs):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_ticktext.py b/packages/python/plotly/plotly/validators/parcats/dimension/_ticktext.py
new file mode 100644
index 00000000000..3b8878a93fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="parcats.dimension", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_ticktextsrc.py b/packages/python/plotly/plotly/validators/parcats/dimension/_ticktextsrc.py
new file mode 100644
index 00000000000..5d4d420e722
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="parcats.dimension", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_values.py b/packages/python/plotly/plotly/validators/parcats/dimension/_values.py
new file mode 100644
index 00000000000..4b001294776
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="parcats.dimension", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_valuessrc.py b/packages/python/plotly/plotly/validators/parcats/dimension/_valuessrc.py
new file mode 100644
index 00000000000..ce611345434
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_valuessrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="valuessrc", parent_name="parcats.dimension", **kwargs
+    ):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/dimension/_visible.py b/packages/python/plotly/plotly/validators/parcats/dimension/_visible.py
new file mode 100644
index 00000000000..a7d7e93e763
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/dimension/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="parcats.dimension", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/domain/__init__.py b/packages/python/plotly/plotly/validators/parcats/domain/__init__.py
index 5eadc95a36c..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/parcats/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="parcats.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="parcats.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="parcats.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="parcats.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/domain/_column.py b/packages/python/plotly/plotly/validators/parcats/domain/_column.py
new file mode 100644
index 00000000000..0799d94e1c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="parcats.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/domain/_row.py b/packages/python/plotly/plotly/validators/parcats/domain/_row.py
new file mode 100644
index 00000000000..d10b8f2cd2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="parcats.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/domain/_x.py b/packages/python/plotly/plotly/validators/parcats/domain/_x.py
new file mode 100644
index 00000000000..e390d944cd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="parcats.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/domain/_y.py b/packages/python/plotly/plotly/validators/parcats/domain/_y.py
new file mode 100644
index 00000000000..11c596a71fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="parcats.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/labelfont/__init__.py b/packages/python/plotly/plotly/validators/parcats/labelfont/__init__.py
index f0810a90604..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcats/labelfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/labelfont/__init__.py
@@ -1,43 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="parcats.labelfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="parcats.labelfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="parcats.labelfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/labelfont/_color.py b/packages/python/plotly/plotly/validators/parcats/labelfont/_color.py
new file mode 100644
index 00000000000..b46bb6acaf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/labelfont/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="parcats.labelfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/labelfont/_family.py b/packages/python/plotly/plotly/validators/parcats/labelfont/_family.py
new file mode 100644
index 00000000000..f4fc6d16d29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/labelfont/_family.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="parcats.labelfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/labelfont/_size.py b/packages/python/plotly/plotly/validators/parcats/labelfont/_size.py
new file mode 100644
index 00000000000..bbf44be12c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/labelfont/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="parcats.labelfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/__init__.py b/packages/python/plotly/plotly/validators/parcats/line/__init__.py
index ac02fed3dd0..d6dc3a52000 100644
--- a/packages/python/plotly/plotly/validators/parcats/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/line/__init__.py
@@ -1,427 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="parcats.line", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="shape", parent_name="parcats.line", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["linear", "hspline"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="parcats.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="parcats.line", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="parcats.line", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="parcats.line", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="parcats.line", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.parcats
-                .line.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.parcats.line.colorbar.tickformatstopdefaults)
-                , sets the default property values to use for
-                elements of
-                parcats.line.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.parcats.line.color
-                bar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                parcats.line.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                parcats.line.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="parcats.line", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="parcats.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "parcats.line.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="parcats.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="parcats.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="parcats.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="parcats.line", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="parcats.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._shape import ShapeValidator
+    from ._reversescale import ReversescaleValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._shape.ShapeValidator",
+            "._reversescale.ReversescaleValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/parcats/line/_autocolorscale.py
new file mode 100644
index 00000000000..0dd6fed847b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="parcats.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_cauto.py b/packages/python/plotly/plotly/validators/parcats/line/_cauto.py
new file mode 100644
index 00000000000..dd83462a050
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="parcats.line", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_cmax.py b/packages/python/plotly/plotly/validators/parcats/line/_cmax.py
new file mode 100644
index 00000000000..c982d2a7fb2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="parcats.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_cmid.py b/packages/python/plotly/plotly/validators/parcats/line/_cmid.py
new file mode 100644
index 00000000000..a553f23c8db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="parcats.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_cmin.py b/packages/python/plotly/plotly/validators/parcats/line/_cmin.py
new file mode 100644
index 00000000000..632312e79b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="parcats.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_color.py b/packages/python/plotly/plotly/validators/parcats/line/_color.py
new file mode 100644
index 00000000000..3640e6f33eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="parcats.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "parcats.line.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_coloraxis.py b/packages/python/plotly/plotly/validators/parcats/line/_coloraxis.py
new file mode 100644
index 00000000000..5d768a05442
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="parcats.line", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_colorbar.py b/packages/python/plotly/plotly/validators/parcats/line/_colorbar.py
new file mode 100644
index 00000000000..bf5d856f0a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="parcats.line", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.parcats
+                .line.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.parcats.line.colorbar.tickformatstopdefaults)
+                , sets the default property values to use for
+                elements of
+                parcats.line.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.parcats.line.color
+                bar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                parcats.line.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                parcats.line.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_colorscale.py b/packages/python/plotly/plotly/validators/parcats/line/_colorscale.py
new file mode 100644
index 00000000000..b13574ce748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="parcats.line", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_colorsrc.py b/packages/python/plotly/plotly/validators/parcats/line/_colorsrc.py
new file mode 100644
index 00000000000..8a62686d5a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="parcats.line", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_hovertemplate.py b/packages/python/plotly/plotly/validators/parcats/line/_hovertemplate.py
new file mode 100644
index 00000000000..3e35c588205
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_hovertemplate.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="parcats.line", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_reversescale.py b/packages/python/plotly/plotly/validators/parcats/line/_reversescale.py
new file mode 100644
index 00000000000..7696beebcbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="parcats.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_shape.py b/packages/python/plotly/plotly/validators/parcats/line/_shape.py
new file mode 100644
index 00000000000..1e2eca7a6db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_shape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="shape", parent_name="parcats.line", **kwargs):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["linear", "hspline"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/_showscale.py b/packages/python/plotly/plotly/validators/parcats/line/_showscale.py
new file mode 100644
index 00000000000..00ec3811dd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="parcats.line", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/__init__.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/__init__.py
index 4dff90726da..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/parcats/line/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/__init__.py
@@ -1,782 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="parcats.line.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="parcats.line.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="parcats.line.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="parcats.line.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..9a35c2401c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..0b2171dc9c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..a415aa35447
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_dtick.py
new file mode 100644
index 00000000000..462b977b78d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..30198358216
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_len.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_len.py
new file mode 100644
index 00000000000..5e2ebfdc0d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_lenmode.py
new file mode 100644
index 00000000000..76f9665fd58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_nticks.py
new file mode 100644
index 00000000000..54ebecaf4f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..4c27614bb20
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..1f1f2c0a31b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..c4deaff5265
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showexponent.py
new file mode 100644
index 00000000000..0afdfb36ba1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..a7967a46be5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..78e255e67fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..f405292ded6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_thickness.py
new file mode 100644
index 00000000000..1cd7ea1828b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..b5200bd0077
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tick0.py
new file mode 100644
index 00000000000..da0c12667ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickangle.py
new file mode 100644
index 00000000000..a670e887de3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..004923a26cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickfont.py
new file mode 100644
index 00000000000..cfd3e9a5bad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformat.py
new file mode 100644
index 00000000000..24a4f90949a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..4f6c47f29f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..a24b47ffaf1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="parcats.line.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticklen.py
new file mode 100644
index 00000000000..598bd2284aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickmode.py
new file mode 100644
index 00000000000..8932a4e899f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..7ae356acdc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticks.py
new file mode 100644
index 00000000000..3c8a8161667
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..bab26914169
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticktext.py
new file mode 100644
index 00000000000..bf76cdd58ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..275ee506234
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickvals.py
new file mode 100644
index 00000000000..fa84fac5da7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..98a8c435daf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..4e402086831
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_title.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_title.py
new file mode 100644
index 00000000000..b9bd876adac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_x.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_x.py
new file mode 100644
index 00000000000..0f9bc8e1ad7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="parcats.line.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xanchor.py
new file mode 100644
index 00000000000..fff030ce957
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xpad.py
new file mode 100644
index 00000000000..4c8e7a4303b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_y.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_y.py
new file mode 100644
index 00000000000..bfbb0d674df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="parcats.line.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_yanchor.py
new file mode 100644
index 00000000000..f80d0e5af27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ypad.py
new file mode 100644
index 00000000000..67df42f8f26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="parcats.line.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/__init__.py
index b8c50d51ead..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/__init__.py
@@ -1,55 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="parcats.line.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="parcats.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="parcats.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..899692e7be9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="parcats.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..b3645b04405
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="parcats.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..7822f2ce9eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="parcats.line.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/__init__.py
index 7e10c42a170..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="parcats.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="parcats.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="parcats.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="parcats.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="parcats.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..da05759d34f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="parcats.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..465b2f4a911
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="parcats.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..4c393b67a26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="parcats.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..ff816cc1d88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="parcats.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..bc302c74300
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="parcats.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/__init__.py
index 07eac069b64..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="parcats.line.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="parcats.line.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="parcats.line.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_font.py
new file mode 100644
index 00000000000..85cd21d283a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="parcats.line.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_side.py
new file mode 100644
index 00000000000..e5efaee0e72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="parcats.line.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_text.py
new file mode 100644
index 00000000000..65ff7841703
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="parcats.line.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/__init__.py
index 361e538cff9..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="parcats.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="parcats.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="parcats.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..77b6e5e936b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="parcats.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..94d1be9654e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="parcats.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..7f8e984448a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/line/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="parcats.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/stream/__init__.py b/packages/python/plotly/plotly/validators/parcats/stream/__init__.py
index d1758731e47..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/parcats/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="parcats.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="parcats.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/parcats/stream/_maxpoints.py
new file mode 100644
index 00000000000..a25746d756a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="parcats.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/stream/_token.py b/packages/python/plotly/plotly/validators/parcats/stream/_token.py
new file mode 100644
index 00000000000..eb752362123
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="parcats.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/tickfont/__init__.py b/packages/python/plotly/plotly/validators/parcats/tickfont/__init__.py
index 2cbc584f192..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcats/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcats/tickfont/__init__.py
@@ -1,43 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="parcats.tickfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="parcats.tickfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="parcats.tickfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcats/tickfont/_color.py b/packages/python/plotly/plotly/validators/parcats/tickfont/_color.py
new file mode 100644
index 00000000000..d5c3265be2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/tickfont/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="parcats.tickfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/tickfont/_family.py b/packages/python/plotly/plotly/validators/parcats/tickfont/_family.py
new file mode 100644
index 00000000000..91e714cd8bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/tickfont/_family.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="parcats.tickfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcats/tickfont/_size.py b/packages/python/plotly/plotly/validators/parcats/tickfont/_size.py
new file mode 100644
index 00000000000..fcb1ab5e647
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcats/tickfont/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="parcats.tickfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/__init__.py b/packages/python/plotly/plotly/validators/parcoords/__init__.py
index d89af241463..5e1d10ff541 100644
--- a/packages/python/plotly/plotly/validators/parcoords/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/__init__.py
@@ -1,563 +1,52 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="parcoords", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="parcoords", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="parcoords", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="parcoords", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="parcoords", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangefontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="rangefont", parent_name="parcoords", **kwargs):
-        super(RangefontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Rangefont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="parcoords", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="parcoords", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="parcoords", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="parcoords", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `line.colorscale`. Has an effect
-                only if in `line.color`is set to a numerical
-                array. In case `colorscale` is unspecified or
-                `autocolorscale` is true, the default  palette
-                will be chosen according to whether numbers in
-                the `color` array are all positive, all
-                negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `line.color`) or the bounds set in
-                `line.cmin` and `line.cmax`  Has an effect only
-                if in `line.color`is set to a numerical array.
-                Defaults to `false` when `line.cmin` and
-                `line.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `line.color`is set to a
-                numerical array. Value should have the same
-                units as in `line.color` and if set,
-                `line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `line.cmin` and/or `line.cmax` to be
-                equidistant to this point. Has an effect only
-                if in `line.color`is set to a numerical array.
-                Value should have the same units as in
-                `line.color`. Has no effect when `line.cauto`
-                is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `line.color`is set to a
-                numerical array. Value should have the same
-                units as in `line.color` and if set,
-                `line.cmax` must be set as well.
-            color
-                Sets thelinecolor. It accepts either a specific
-                color or an array of numbers that are mapped to
-                the colorscale relative to the max and min
-                values of the array or relative to `line.cmin`
-                and `line.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.parcoords.line.Col
-                orBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `line.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`line.cmin` and `line.cmax`.
-                Alternatively, `colorscale` may be a palette
-                name string of the following list: Greys,YlGnBu
-                ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
-                ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
-                c,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `line.color`is set to a
-                numerical array. If true, `line.cmin` will
-                correspond to the last color in the array and
-                `line.cmax` will correspond to the first color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `line.color`is set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="labelside", parent_name="parcoords", **kwargs):
-        super(LabelsideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="labelfont", parent_name="parcoords", **kwargs):
-        super(LabelfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="labelangle", parent_name="parcoords", **kwargs):
-        super(LabelangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="parcoords", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="parcoords", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="parcoords", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this parcoords
-                trace .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this parcoords trace .
-            x
-                Sets the horizontal domain of this parcoords
-                trace (in plot fraction).
-            y
-                Sets the vertical domain of this parcoords
-                trace (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DimensionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="dimensiondefaults", parent_name="parcoords", **kwargs
-    ):
-        super(DimensionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Dimension"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="dimensions", parent_name="parcoords", **kwargs):
-        super(DimensionsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Dimension"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            constraintrange
-                The domain range to which the filter on the
-                dimension is constrained. Must be an array of
-                `[fromValue, toValue]` with `fromValue <=
-                toValue`, or if `multiselect` is not disabled,
-                you may give an array of arrays, where each
-                inner array is `[fromValue, toValue]`.
-            label
-                The shown name of the dimension.
-            multiselect
-                Do we allow multiple selection ranges or just a
-                single range?
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            range
-                The domain range that represents the full,
-                shown axis extent. Defaults to the `values`
-                extent. Must be an array of `[fromValue,
-                toValue]` with finite numbers as elements.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            values
-                Dimension values. `values[n]` represents the
-                value of the `n`th point in the dataset,
-                therefore the `values` vector for all
-                dimensions must be the same (longer vectors
-                will be truncated). Each value must be a finite
-                number.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Shows the dimension when set to `true` (the
-                default). Hides the dimension for `false`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="parcoords", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="parcoords", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tickfont import TickfontValidator
+    from ._stream import StreamValidator
+    from ._rangefont import RangefontValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._line import LineValidator
+    from ._labelside import LabelsideValidator
+    from ._labelfont import LabelfontValidator
+    from ._labelangle import LabelangleValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._domain import DomainValidator
+    from ._dimensiondefaults import DimensiondefaultsValidator
+    from ._dimensions import DimensionsValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tickfont.TickfontValidator",
+            "._stream.StreamValidator",
+            "._rangefont.RangefontValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._line.LineValidator",
+            "._labelside.LabelsideValidator",
+            "._labelfont.LabelfontValidator",
+            "._labelangle.LabelangleValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._domain.DomainValidator",
+            "._dimensiondefaults.DimensiondefaultsValidator",
+            "._dimensions.DimensionsValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_customdata.py b/packages/python/plotly/plotly/validators/parcoords/_customdata.py
new file mode 100644
index 00000000000..245ab4c2e66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="parcoords", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_customdatasrc.py b/packages/python/plotly/plotly/validators/parcoords/_customdatasrc.py
new file mode 100644
index 00000000000..18b1cfc8d1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="parcoords", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_dimensiondefaults.py b/packages/python/plotly/plotly/validators/parcoords/_dimensiondefaults.py
new file mode 100644
index 00000000000..4155a14576d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_dimensiondefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class DimensiondefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="dimensiondefaults", parent_name="parcoords", **kwargs
+    ):
+        super(DimensiondefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Dimension"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_dimensions.py b/packages/python/plotly/plotly/validators/parcoords/_dimensions.py
new file mode 100644
index 00000000000..3a0f99cb766
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_dimensions.py
@@ -0,0 +1,93 @@
+import _plotly_utils.basevalidators
+
+
+class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="dimensions", parent_name="parcoords", **kwargs):
+        super(DimensionsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Dimension"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            constraintrange
+                The domain range to which the filter on the
+                dimension is constrained. Must be an array of
+                `[fromValue, toValue]` with `fromValue <=
+                toValue`, or if `multiselect` is not disabled,
+                you may give an array of arrays, where each
+                inner array is `[fromValue, toValue]`.
+            label
+                The shown name of the dimension.
+            multiselect
+                Do we allow multiple selection ranges or just a
+                single range?
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            range
+                The domain range that represents the full,
+                shown axis extent. Defaults to the `values`
+                extent. Must be an array of `[fromValue,
+                toValue]` with finite numbers as elements.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            values
+                Dimension values. `values[n]` represents the
+                value of the `n`th point in the dataset,
+                therefore the `values` vector for all
+                dimensions must be the same (longer vectors
+                will be truncated). Each value must be a finite
+                number.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Shows the dimension when set to `true` (the
+                default). Hides the dimension for `false`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_domain.py b/packages/python/plotly/plotly/validators/parcoords/_domain.py
new file mode 100644
index 00000000000..8de6e0334dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="parcoords", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this parcoords
+                trace .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this parcoords trace .
+            x
+                Sets the horizontal domain of this parcoords
+                trace (in plot fraction).
+            y
+                Sets the vertical domain of this parcoords
+                trace (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_ids.py b/packages/python/plotly/plotly/validators/parcoords/_ids.py
new file mode 100644
index 00000000000..50846c032f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="parcoords", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_idssrc.py b/packages/python/plotly/plotly/validators/parcoords/_idssrc.py
new file mode 100644
index 00000000000..9228df48280
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="parcoords", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_labelangle.py b/packages/python/plotly/plotly/validators/parcoords/_labelangle.py
new file mode 100644
index 00000000000..d7e2ca56b95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_labelangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="labelangle", parent_name="parcoords", **kwargs):
+        super(LabelangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_labelfont.py b/packages/python/plotly/plotly/validators/parcoords/_labelfont.py
new file mode 100644
index 00000000000..ff2f385f776
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_labelfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class LabelfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="labelfont", parent_name="parcoords", **kwargs):
+        super(LabelfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Labelfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_labelside.py b/packages/python/plotly/plotly/validators/parcoords/_labelside.py
new file mode 100644
index 00000000000..489b9111bf2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_labelside.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="labelside", parent_name="parcoords", **kwargs):
+        super(LabelsideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_line.py b/packages/python/plotly/plotly/validators/parcoords/_line.py
new file mode 100644
index 00000000000..34e5facf837
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_line.py
@@ -0,0 +1,102 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="parcoords", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `line.colorscale`. Has an effect
+                only if in `line.color`is set to a numerical
+                array. In case `colorscale` is unspecified or
+                `autocolorscale` is true, the default  palette
+                will be chosen according to whether numbers in
+                the `color` array are all positive, all
+                negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `line.color`) or the bounds set in
+                `line.cmin` and `line.cmax`  Has an effect only
+                if in `line.color`is set to a numerical array.
+                Defaults to `false` when `line.cmin` and
+                `line.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `line.color`is set to a
+                numerical array. Value should have the same
+                units as in `line.color` and if set,
+                `line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `line.cmin` and/or `line.cmax` to be
+                equidistant to this point. Has an effect only
+                if in `line.color`is set to a numerical array.
+                Value should have the same units as in
+                `line.color`. Has no effect when `line.cauto`
+                is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `line.color`is set to a
+                numerical array. Value should have the same
+                units as in `line.color` and if set,
+                `line.cmax` must be set as well.
+            color
+                Sets thelinecolor. It accepts either a specific
+                color or an array of numbers that are mapped to
+                the colorscale relative to the max and min
+                values of the array or relative to `line.cmin`
+                and `line.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.parcoords.line.Col
+                orBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `line.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`line.cmin` and `line.cmax`.
+                Alternatively, `colorscale` may be a palette
+                name string of the following list: Greys,YlGnBu
+                ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
+                ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
+                c,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `line.color`is set to a
+                numerical array. If true, `line.cmin` will
+                correspond to the last color in the array and
+                `line.cmax` will correspond to the first color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `line.color`is set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_meta.py b/packages/python/plotly/plotly/validators/parcoords/_meta.py
new file mode 100644
index 00000000000..054e0ef3c66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="parcoords", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_metasrc.py b/packages/python/plotly/plotly/validators/parcoords/_metasrc.py
new file mode 100644
index 00000000000..a38231d33da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="parcoords", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_name.py b/packages/python/plotly/plotly/validators/parcoords/_name.py
new file mode 100644
index 00000000000..a7e1d7babf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="parcoords", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_rangefont.py b/packages/python/plotly/plotly/validators/parcoords/_rangefont.py
new file mode 100644
index 00000000000..e29e06b6977
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_rangefont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class RangefontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="rangefont", parent_name="parcoords", **kwargs):
+        super(RangefontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Rangefont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_stream.py b/packages/python/plotly/plotly/validators/parcoords/_stream.py
new file mode 100644
index 00000000000..ef30225d325
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="parcoords", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_tickfont.py b/packages/python/plotly/plotly/validators/parcoords/_tickfont.py
new file mode 100644
index 00000000000..41f89928710
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="parcoords", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_uid.py b/packages/python/plotly/plotly/validators/parcoords/_uid.py
new file mode 100644
index 00000000000..3e2b257a1ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="parcoords", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_uirevision.py b/packages/python/plotly/plotly/validators/parcoords/_uirevision.py
new file mode 100644
index 00000000000..0f367290f71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="parcoords", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/_visible.py b/packages/python/plotly/plotly/validators/parcoords/_visible.py
new file mode 100644
index 00000000000..9c0e3c74e37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="parcoords", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/__init__.py b/packages/python/plotly/plotly/validators/parcoords/dimension/__init__.py
index 5c7ea080d50..613722cc235 100644
--- a/packages/python/plotly/plotly/validators/parcoords/dimension/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/__init__.py
@@ -1,239 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="valuessrc", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="values", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="parcoords.dimension",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="range", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(RangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="parcoords.dimension", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MultiselectValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="multiselect", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(MultiselectValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="label", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstraintrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self, plotly_name="constraintrange", parent_name="parcoords.dimension", **kwargs
-    ):
-        super(ConstraintrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dimensions=kwargs.pop("dimensions", "1-2"),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "editType": "plot"},
-                    {"valType": "number", "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._tickformat import TickformatValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._range import RangeValidator
+    from ._name import NameValidator
+    from ._multiselect import MultiselectValidator
+    from ._label import LabelValidator
+    from ._constraintrange import ConstraintrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._tickformat.TickformatValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._range.RangeValidator",
+            "._name.NameValidator",
+            "._multiselect.MultiselectValidator",
+            "._label.LabelValidator",
+            "._constraintrange.ConstraintrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_constraintrange.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_constraintrange.py
new file mode 100644
index 00000000000..2423f06a1dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_constraintrange.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class ConstraintrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="constraintrange", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(ConstraintrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dimensions=kwargs.pop("dimensions", "1-2"),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_label.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_label.py
new file mode 100644
index 00000000000..f9c4478615b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_label.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="label", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_multiselect.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_multiselect.py
new file mode 100644
index 00000000000..c2942361fb4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_multiselect.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MultiselectValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="multiselect", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(MultiselectValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_name.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_name.py
new file mode 100644
index 00000000000..90a3a776892
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="parcoords.dimension", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_range.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_range.py
new file mode 100644
index 00000000000..9c58f029be3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_range.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self, plotly_name="range", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(RangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "editType": "plot"},
+                    {"valType": "number", "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_templateitemname.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_templateitemname.py
new file mode 100644
index 00000000000..5c5b144f568
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="parcoords.dimension",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_tickformat.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_tickformat.py
new file mode 100644
index 00000000000..edb88aba3eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_ticktext.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_ticktext.py
new file mode 100644
index 00000000000..6a1aad9b10c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_ticktextsrc.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_ticktextsrc.py
new file mode 100644
index 00000000000..27cf99272b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_tickvals.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_tickvals.py
new file mode 100644
index 00000000000..a8bba5ae74d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_tickvalssrc.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_tickvalssrc.py
new file mode 100644
index 00000000000..2b2e0f0b690
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_values.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_values.py
new file mode 100644
index 00000000000..a456e7383c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_values.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="values", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_valuessrc.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_valuessrc.py
new file mode 100644
index 00000000000..2c8b095b6ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_valuessrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="valuessrc", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/dimension/_visible.py b/packages/python/plotly/plotly/validators/parcoords/dimension/_visible.py
new file mode 100644
index 00000000000..d655c4a95b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/dimension/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="parcoords.dimension", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/domain/__init__.py b/packages/python/plotly/plotly/validators/parcoords/domain/__init__.py
index ce12175e01c..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/parcoords/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="parcoords.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="parcoords.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="parcoords.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="parcoords.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/domain/_column.py b/packages/python/plotly/plotly/validators/parcoords/domain/_column.py
new file mode 100644
index 00000000000..9eb6737e4ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="parcoords.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/domain/_row.py b/packages/python/plotly/plotly/validators/parcoords/domain/_row.py
new file mode 100644
index 00000000000..333997b9edf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="parcoords.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/domain/_x.py b/packages/python/plotly/plotly/validators/parcoords/domain/_x.py
new file mode 100644
index 00000000000..729879f76ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="parcoords.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/domain/_y.py b/packages/python/plotly/plotly/validators/parcoords/domain/_y.py
new file mode 100644
index 00000000000..7be7f7247b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="parcoords.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "plot"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/labelfont/__init__.py b/packages/python/plotly/plotly/validators/parcoords/labelfont/__init__.py
index b6b637204bd..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcoords/labelfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/labelfont/__init__.py
@@ -1,47 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="parcoords.labelfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="parcoords.labelfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="parcoords.labelfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/labelfont/_color.py b/packages/python/plotly/plotly/validators/parcoords/labelfont/_color.py
new file mode 100644
index 00000000000..00dda72a58b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/labelfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="parcoords.labelfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/labelfont/_family.py b/packages/python/plotly/plotly/validators/parcoords/labelfont/_family.py
new file mode 100644
index 00000000000..7df4f011e77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/labelfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="parcoords.labelfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/labelfont/_size.py b/packages/python/plotly/plotly/validators/parcoords/labelfont/_size.py
new file mode 100644
index 00000000000..8b552ba5bb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/labelfont/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="parcoords.labelfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/__init__.py b/packages/python/plotly/plotly/validators/parcoords/line/__init__.py
index 31e8dac688c..7ca057d7777 100644
--- a/packages/python/plotly/plotly/validators/parcoords/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/line/__init__.py
@@ -1,398 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="parcoords.line", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="parcoords.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="parcoords.line", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="parcoords.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="parcoords.line", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.parcoor
-                ds.line.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.parcoords.line.colorbar.tickformatstopdefault
-                s), sets the default property values to use for
-                elements of
-                parcoords.line.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.parcoords.line.col
-                orbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                parcoords.line.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                parcoords.line.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="parcoords.line", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="parcoords.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "parcoords.line.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="parcoords.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="parcoords.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="parcoords.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="parcoords.line", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="parcoords.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/parcoords/line/_autocolorscale.py
new file mode 100644
index 00000000000..ffdcd6b63ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="parcoords.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_cauto.py b/packages/python/plotly/plotly/validators/parcoords/line/_cauto.py
new file mode 100644
index 00000000000..eb25605558d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="parcoords.line", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_cmax.py b/packages/python/plotly/plotly/validators/parcoords/line/_cmax.py
new file mode 100644
index 00000000000..1ecb7aa08e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="parcoords.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_cmid.py b/packages/python/plotly/plotly/validators/parcoords/line/_cmid.py
new file mode 100644
index 00000000000..06f48470ce2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="parcoords.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_cmin.py b/packages/python/plotly/plotly/validators/parcoords/line/_cmin.py
new file mode 100644
index 00000000000..224015f1b8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="parcoords.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_color.py b/packages/python/plotly/plotly/validators/parcoords/line/_color.py
new file mode 100644
index 00000000000..8ae3355fd4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="parcoords.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "parcoords.line.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_coloraxis.py b/packages/python/plotly/plotly/validators/parcoords/line/_coloraxis.py
new file mode 100644
index 00000000000..efec21c6d15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="parcoords.line", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_colorbar.py b/packages/python/plotly/plotly/validators/parcoords/line/_colorbar.py
new file mode 100644
index 00000000000..4c232563c37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="parcoords.line", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.parcoor
+                ds.line.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.parcoords.line.colorbar.tickformatstopdefault
+                s), sets the default property values to use for
+                elements of
+                parcoords.line.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.parcoords.line.col
+                orbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                parcoords.line.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                parcoords.line.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_colorscale.py b/packages/python/plotly/plotly/validators/parcoords/line/_colorscale.py
new file mode 100644
index 00000000000..471b1982883
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="parcoords.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_colorsrc.py b/packages/python/plotly/plotly/validators/parcoords/line/_colorsrc.py
new file mode 100644
index 00000000000..c95efd7a35a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="parcoords.line", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_reversescale.py b/packages/python/plotly/plotly/validators/parcoords/line/_reversescale.py
new file mode 100644
index 00000000000..7e3bf2fb787
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="parcoords.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/_showscale.py b/packages/python/plotly/plotly/validators/parcoords/line/_showscale.py
new file mode 100644
index 00000000000..ef8d8e694f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="parcoords.line", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/__init__.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/__init__.py
index f7c311a35ea..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/__init__.py
@@ -1,798 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="parcoords.line.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="parcoords.line.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..6b0f44e029e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..992aa4fb6bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..918b807f48f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_dtick.py
new file mode 100644
index 00000000000..0b7e55bf47a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..ad0ec7a54b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_len.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_len.py
new file mode 100644
index 00000000000..9fec9f0c5a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_lenmode.py
new file mode 100644
index 00000000000..d562a1cae6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_nticks.py
new file mode 100644
index 00000000000..ea20d6ada6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..3dbaaacfa20
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..3e14f6ed76a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..6f05d5743c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showexponent.py
new file mode 100644
index 00000000000..4fccecccb18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..af156d321ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..8be035e5f9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..e3e3e74dcd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_thickness.py
new file mode 100644
index 00000000000..7ea64c99943
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..abe0689bd4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tick0.py
new file mode 100644
index 00000000000..b656fcf66b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickangle.py
new file mode 100644
index 00000000000..1228b217a04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..9588c88b39c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickfont.py
new file mode 100644
index 00000000000..1d19573086e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformat.py
new file mode 100644
index 00000000000..7bea3959c41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..cbbae4913c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..586f7436067
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="parcoords.line.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticklen.py
new file mode 100644
index 00000000000..7943cda1388
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickmode.py
new file mode 100644
index 00000000000..ba94722ad42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..a504cd7daa4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticks.py
new file mode 100644
index 00000000000..d315f288cf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..551a6b3f2e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticktext.py
new file mode 100644
index 00000000000..7b68929974c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..c69c73f5490
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvals.py
new file mode 100644
index 00000000000..39450b9cd0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..45ebb6e564c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..5608eef161b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_title.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_title.py
new file mode 100644
index 00000000000..265398a1e17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_x.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_x.py
new file mode 100644
index 00000000000..bcca6778773
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xanchor.py
new file mode 100644
index 00000000000..f27d97d42d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xpad.py
new file mode 100644
index 00000000000..df81121dc2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_y.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_y.py
new file mode 100644
index 00000000000..0b1d2f9ce4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_yanchor.py
new file mode 100644
index 00000000000..ba845ba68d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ypad.py
new file mode 100644
index 00000000000..a5ec2f9f022
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="parcoords.line.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/__init__.py
index cb292c985b2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="parcoords.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="parcoords.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="parcoords.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..878a980018e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="parcoords.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..6452ac6b00c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="parcoords.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..e217d1f88c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="parcoords.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/__init__.py
index 3a47c74fc0e..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="parcoords.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="parcoords.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="parcoords.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="parcoords.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="parcoords.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..58d8ece059e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="parcoords.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..e2830ebbabd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="parcoords.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..db381a3afd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="parcoords.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..2ea3b5a0e68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="parcoords.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..7410d31c834
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="parcoords.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/__init__.py
index 6707de86d90..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="parcoords.line.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="parcoords.line.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="parcoords.line.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_font.py
new file mode 100644
index 00000000000..11817941e5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="parcoords.line.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_side.py
new file mode 100644
index 00000000000..01ebe302ba1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="parcoords.line.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_text.py
new file mode 100644
index 00000000000..e8b0f72b77d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="parcoords.line.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/__init__.py
index 7b04f7ed4e2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="parcoords.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="parcoords.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="parcoords.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..536a078ec1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="parcoords.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..4206ac16372
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="parcoords.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..47334170bb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/line/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="parcoords.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/rangefont/__init__.py b/packages/python/plotly/plotly/validators/parcoords/rangefont/__init__.py
index a1a4fe68d66..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcoords/rangefont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/rangefont/__init__.py
@@ -1,47 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="parcoords.rangefont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="parcoords.rangefont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="parcoords.rangefont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/rangefont/_color.py b/packages/python/plotly/plotly/validators/parcoords/rangefont/_color.py
new file mode 100644
index 00000000000..694d1592a75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/rangefont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="parcoords.rangefont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/rangefont/_family.py b/packages/python/plotly/plotly/validators/parcoords/rangefont/_family.py
new file mode 100644
index 00000000000..c17b79c811a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/rangefont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="parcoords.rangefont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/rangefont/_size.py b/packages/python/plotly/plotly/validators/parcoords/rangefont/_size.py
new file mode 100644
index 00000000000..26950c0f890
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/rangefont/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="parcoords.rangefont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/stream/__init__.py b/packages/python/plotly/plotly/validators/parcoords/stream/__init__.py
index 50a1a1dd381..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/parcoords/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="parcoords.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="parcoords.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/parcoords/stream/_maxpoints.py
new file mode 100644
index 00000000000..02bb8f7bfad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="parcoords.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/stream/_token.py b/packages/python/plotly/plotly/validators/parcoords/stream/_token.py
new file mode 100644
index 00000000000..13d221dce19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="parcoords.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/tickfont/__init__.py b/packages/python/plotly/plotly/validators/parcoords/tickfont/__init__.py
index 5b16a0fc022..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/parcoords/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/parcoords/tickfont/__init__.py
@@ -1,45 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="parcoords.tickfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="parcoords.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="parcoords.tickfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/parcoords/tickfont/_color.py b/packages/python/plotly/plotly/validators/parcoords/tickfont/_color.py
new file mode 100644
index 00000000000..06d3590b8de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/tickfont/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="parcoords.tickfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/tickfont/_family.py b/packages/python/plotly/plotly/validators/parcoords/tickfont/_family.py
new file mode 100644
index 00000000000..6da846d97a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="parcoords.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/parcoords/tickfont/_size.py b/packages/python/plotly/plotly/validators/parcoords/tickfont/_size.py
new file mode 100644
index 00000000000..9acd135697a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/parcoords/tickfont/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="parcoords.tickfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/__init__.py b/packages/python/plotly/plotly/validators/pie/__init__.py
index d5a80a87b83..b47270c4632 100644
--- a/packages/python/plotly/plotly/validators/pie/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/__init__.py
@@ -1,911 +1,110 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="pie", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuessrc", parent_name="pie", **kwargs):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="pie", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="pie", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="pie", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="pie", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets the font used for `title`. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            position
-                Specifies the location of the `title`. Note
-                that the title's position used to be set by the
-                now deprecated `titleposition` attribute.
-            text
-                Sets the title of the chart. If it is empty, no
-                title is displayed. Note that before the
-                existence of `title.text`, the title's contents
-                used to be defined as the `title` attribute
-                itself. This behavior has been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="texttemplatesrc", parent_name="pie", **kwargs):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="pie", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="pie", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textpositionsrc", parent_name="pie", **kwargs):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="pie", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="textinfo", parent_name="pie", **kwargs):
-        super(TextinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["label", "text", "value", "percent"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="pie", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="pie", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="pie", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SortValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="sort", parent_name="pie", **kwargs):
-        super(SortValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="pie", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="scalegroup", parent_name="pie", **kwargs):
-        super(ScalegroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RotationValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="rotation", parent_name="pie", **kwargs):
-        super(RotationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 360),
-            min=kwargs.pop("min", -360),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PullsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="pullsrc", parent_name="pie", **kwargs):
-        super(PullsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PullValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pull", parent_name="pie", **kwargs):
-        super(PullValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="outsidetextfont", parent_name="pie", **kwargs):
-        super(OutsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="pie", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="pie", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="pie", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="pie", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="pie", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            colors
-                Sets the color of each sector. If not
-                specified, the default trace color set is used
-                to pick the sector colors.
-            colorssrc
-                Sets the source reference on Chart Studio Cloud
-                for  colors .
-            line
-                :class:`plotly.graph_objects.pie.marker.Line`
-                instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="pie", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="labelssrc", parent_name="pie", **kwargs):
-        super(LabelssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="labels", parent_name="pie", **kwargs):
-        super(LabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Label0Validator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="label0", parent_name="pie", **kwargs):
-        super(Label0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="insidetextorientation", parent_name="pie", **kwargs
-    ):
-        super(InsidetextorientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["horizontal", "radial", "tangential", "auto"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="insidetextfont", parent_name="pie", **kwargs):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="pie", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="pie", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="pie", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="pie", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="pie", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="pie", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="pie", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="pie", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="pie", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["label", "text", "value", "percent", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoleValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="hole", parent_name="pie", **kwargs):
-        super(HoleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="pie", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this pie trace .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this pie trace .
-            x
-                Sets the horizontal domain of this pie trace
-                (in plot fraction).
-            y
-                Sets the vertical domain of this pie trace (in
-                plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DlabelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dlabel", parent_name="pie", **kwargs):
-        super(DlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="direction", parent_name="pie", **kwargs):
-        super(DirectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["clockwise", "counterclockwise"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="pie", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="pie", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutomarginValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="automargin", parent_name="pie", **kwargs):
-        super(AutomarginValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._title import TitleValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textinfo import TextinfoValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._sort import SortValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scalegroup import ScalegroupValidator
+    from ._rotation import RotationValidator
+    from ._pullsrc import PullsrcValidator
+    from ._pull import PullValidator
+    from ._outsidetextfont import OutsidetextfontValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._labelssrc import LabelssrcValidator
+    from ._labels import LabelsValidator
+    from ._label0 import Label0Validator
+    from ._insidetextorientation import InsidetextorientationValidator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._hole import HoleValidator
+    from ._domain import DomainValidator
+    from ._dlabel import DlabelValidator
+    from ._direction import DirectionValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._automargin import AutomarginValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._title.TitleValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textinfo.TextinfoValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._sort.SortValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scalegroup.ScalegroupValidator",
+            "._rotation.RotationValidator",
+            "._pullsrc.PullsrcValidator",
+            "._pull.PullValidator",
+            "._outsidetextfont.OutsidetextfontValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._labelssrc.LabelssrcValidator",
+            "._labels.LabelsValidator",
+            "._label0.Label0Validator",
+            "._insidetextorientation.InsidetextorientationValidator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._hole.HoleValidator",
+            "._domain.DomainValidator",
+            "._dlabel.DlabelValidator",
+            "._direction.DirectionValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._automargin.AutomarginValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/_automargin.py b/packages/python/plotly/plotly/validators/pie/_automargin.py
new file mode 100644
index 00000000000..44d2dd9cc98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_automargin.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AutomarginValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="automargin", parent_name="pie", **kwargs):
+        super(AutomarginValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_customdata.py b/packages/python/plotly/plotly/validators/pie/_customdata.py
new file mode 100644
index 00000000000..e93d14fa796
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="pie", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_customdatasrc.py b/packages/python/plotly/plotly/validators/pie/_customdatasrc.py
new file mode 100644
index 00000000000..289893cf876
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="pie", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_direction.py b/packages/python/plotly/plotly/validators/pie/_direction.py
new file mode 100644
index 00000000000..9f3fe8b8dcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_direction.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="direction", parent_name="pie", **kwargs):
+        super(DirectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["clockwise", "counterclockwise"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_dlabel.py b/packages/python/plotly/plotly/validators/pie/_dlabel.py
new file mode 100644
index 00000000000..de2d4051890
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_dlabel.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DlabelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dlabel", parent_name="pie", **kwargs):
+        super(DlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_domain.py b/packages/python/plotly/plotly/validators/pie/_domain.py
new file mode 100644
index 00000000000..1adbed33d38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_domain.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="pie", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this pie trace .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this pie trace .
+            x
+                Sets the horizontal domain of this pie trace
+                (in plot fraction).
+            y
+                Sets the vertical domain of this pie trace (in
+                plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hole.py b/packages/python/plotly/plotly/validators/pie/_hole.py
new file mode 100644
index 00000000000..28ddaff59af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hole.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoleValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="hole", parent_name="pie", **kwargs):
+        super(HoleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hoverinfo.py b/packages/python/plotly/plotly/validators/pie/_hoverinfo.py
new file mode 100644
index 00000000000..92d4cf247ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="pie", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["label", "text", "value", "percent", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/pie/_hoverinfosrc.py
new file mode 100644
index 00000000000..6e6a8343548
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="pie", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hoverlabel.py b/packages/python/plotly/plotly/validators/pie/_hoverlabel.py
new file mode 100644
index 00000000000..7071e808b9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="pie", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hovertemplate.py b/packages/python/plotly/plotly/validators/pie/_hovertemplate.py
new file mode 100644
index 00000000000..a1ce2e21740
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="pie", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/pie/_hovertemplatesrc.py
new file mode 100644
index 00000000000..3ebdeadc068
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="pie", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hovertext.py b/packages/python/plotly/plotly/validators/pie/_hovertext.py
new file mode 100644
index 00000000000..91226d2b401
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="pie", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_hovertextsrc.py b/packages/python/plotly/plotly/validators/pie/_hovertextsrc.py
new file mode 100644
index 00000000000..27c5b744643
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="pie", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_ids.py b/packages/python/plotly/plotly/validators/pie/_ids.py
new file mode 100644
index 00000000000..974be11ab0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="pie", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_idssrc.py b/packages/python/plotly/plotly/validators/pie/_idssrc.py
new file mode 100644
index 00000000000..0e65f34e871
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="pie", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_insidetextfont.py b/packages/python/plotly/plotly/validators/pie/_insidetextfont.py
new file mode 100644
index 00000000000..8a588bfbf32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_insidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="insidetextfont", parent_name="pie", **kwargs):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_insidetextorientation.py b/packages/python/plotly/plotly/validators/pie/_insidetextorientation.py
new file mode 100644
index 00000000000..82210251bd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_insidetextorientation.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="insidetextorientation", parent_name="pie", **kwargs
+    ):
+        super(InsidetextorientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["horizontal", "radial", "tangential", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_label0.py b/packages/python/plotly/plotly/validators/pie/_label0.py
new file mode 100644
index 00000000000..eb51836b363
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_label0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Label0Validator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="label0", parent_name="pie", **kwargs):
+        super(Label0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_labels.py b/packages/python/plotly/plotly/validators/pie/_labels.py
new file mode 100644
index 00000000000..b591763136b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_labels.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="labels", parent_name="pie", **kwargs):
+        super(LabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_labelssrc.py b/packages/python/plotly/plotly/validators/pie/_labelssrc.py
new file mode 100644
index 00000000000..f853ac78e17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_labelssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="labelssrc", parent_name="pie", **kwargs):
+        super(LabelssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_legendgroup.py b/packages/python/plotly/plotly/validators/pie/_legendgroup.py
new file mode 100644
index 00000000000..9860225303d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="pie", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_marker.py b/packages/python/plotly/plotly/validators/pie/_marker.py
new file mode 100644
index 00000000000..72433762426
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_marker.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="pie", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            colors
+                Sets the color of each sector. If not
+                specified, the default trace color set is used
+                to pick the sector colors.
+            colorssrc
+                Sets the source reference on Chart Studio Cloud
+                for  colors .
+            line
+                :class:`plotly.graph_objects.pie.marker.Line`
+                instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_meta.py b/packages/python/plotly/plotly/validators/pie/_meta.py
new file mode 100644
index 00000000000..e384052a080
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="pie", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_metasrc.py b/packages/python/plotly/plotly/validators/pie/_metasrc.py
new file mode 100644
index 00000000000..298fcc309fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="pie", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_name.py b/packages/python/plotly/plotly/validators/pie/_name.py
new file mode 100644
index 00000000000..139b4971833
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="pie", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_opacity.py b/packages/python/plotly/plotly/validators/pie/_opacity.py
new file mode 100644
index 00000000000..bd16561c3cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="pie", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_outsidetextfont.py b/packages/python/plotly/plotly/validators/pie/_outsidetextfont.py
new file mode 100644
index 00000000000..ec3f9578b37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_outsidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="outsidetextfont", parent_name="pie", **kwargs):
+        super(OutsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_pull.py b/packages/python/plotly/plotly/validators/pie/_pull.py
new file mode 100644
index 00000000000..b83d1ec4892
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_pull.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class PullValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pull", parent_name="pie", **kwargs):
+        super(PullValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_pullsrc.py b/packages/python/plotly/plotly/validators/pie/_pullsrc.py
new file mode 100644
index 00000000000..24a56f7ebea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_pullsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PullsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="pullsrc", parent_name="pie", **kwargs):
+        super(PullsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_rotation.py b/packages/python/plotly/plotly/validators/pie/_rotation.py
new file mode 100644
index 00000000000..e8012335f01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_rotation.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class RotationValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="rotation", parent_name="pie", **kwargs):
+        super(RotationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 360),
+            min=kwargs.pop("min", -360),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_scalegroup.py b/packages/python/plotly/plotly/validators/pie/_scalegroup.py
new file mode 100644
index 00000000000..0e6f83e3f9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_scalegroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="scalegroup", parent_name="pie", **kwargs):
+        super(ScalegroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_showlegend.py b/packages/python/plotly/plotly/validators/pie/_showlegend.py
new file mode 100644
index 00000000000..6868befb354
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="pie", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_sort.py b/packages/python/plotly/plotly/validators/pie/_sort.py
new file mode 100644
index 00000000000..11ee25aedbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_sort.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SortValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="sort", parent_name="pie", **kwargs):
+        super(SortValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_stream.py b/packages/python/plotly/plotly/validators/pie/_stream.py
new file mode 100644
index 00000000000..db76672596d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="pie", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_text.py b/packages/python/plotly/plotly/validators/pie/_text.py
new file mode 100644
index 00000000000..246b0c2c39f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="pie", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_textfont.py b/packages/python/plotly/plotly/validators/pie/_textfont.py
new file mode 100644
index 00000000000..807ac30bbb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="pie", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_textinfo.py b/packages/python/plotly/plotly/validators/pie/_textinfo.py
new file mode 100644
index 00000000000..97f0318fe3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_textinfo.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="textinfo", parent_name="pie", **kwargs):
+        super(TextinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["label", "text", "value", "percent"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_textposition.py b/packages/python/plotly/plotly/validators/pie/_textposition.py
new file mode 100644
index 00000000000..ff6fb9477e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_textposition.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="pie", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_textpositionsrc.py b/packages/python/plotly/plotly/validators/pie/_textpositionsrc.py
new file mode 100644
index 00000000000..a4e5f131d07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_textpositionsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textpositionsrc", parent_name="pie", **kwargs):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_textsrc.py b/packages/python/plotly/plotly/validators/pie/_textsrc.py
new file mode 100644
index 00000000000..e0171bdfc69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="pie", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_texttemplate.py b/packages/python/plotly/plotly/validators/pie/_texttemplate.py
new file mode 100644
index 00000000000..bcabcce18b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="pie", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/pie/_texttemplatesrc.py
new file mode 100644
index 00000000000..bb969b0a583
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_texttemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="texttemplatesrc", parent_name="pie", **kwargs):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_title.py b/packages/python/plotly/plotly/validators/pie/_title.py
new file mode 100644
index 00000000000..de0cb128cbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_title.py
@@ -0,0 +1,30 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="pie", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets the font used for `title`. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            position
+                Specifies the location of the `title`. Note
+                that the title's position used to be set by the
+                now deprecated `titleposition` attribute.
+            text
+                Sets the title of the chart. If it is empty, no
+                title is displayed. Note that before the
+                existence of `title.text`, the title's contents
+                used to be defined as the `title` attribute
+                itself. This behavior has been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_uid.py b/packages/python/plotly/plotly/validators/pie/_uid.py
new file mode 100644
index 00000000000..9985f3b9c7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="pie", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_uirevision.py b/packages/python/plotly/plotly/validators/pie/_uirevision.py
new file mode 100644
index 00000000000..41fcae41889
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="pie", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_values.py b/packages/python/plotly/plotly/validators/pie/_values.py
new file mode 100644
index 00000000000..21c6a4c058c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="pie", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_valuessrc.py b/packages/python/plotly/plotly/validators/pie/_valuessrc.py
new file mode 100644
index 00000000000..b7780855949
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_valuessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuessrc", parent_name="pie", **kwargs):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/_visible.py b/packages/python/plotly/plotly/validators/pie/_visible.py
new file mode 100644
index 00000000000..0fc27882cf2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="pie", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/domain/__init__.py b/packages/python/plotly/plotly/validators/pie/domain/__init__.py
index c7bcf03814b..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/pie/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="pie.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="pie.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="pie.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="pie.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/domain/_column.py b/packages/python/plotly/plotly/validators/pie/domain/_column.py
new file mode 100644
index 00000000000..1ebb51ce5df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="pie.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/domain/_row.py b/packages/python/plotly/plotly/validators/pie/domain/_row.py
new file mode 100644
index 00000000000..c1bfdbc6118
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="pie.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/domain/_x.py b/packages/python/plotly/plotly/validators/pie/domain/_x.py
new file mode 100644
index 00000000000..3d133c0a60c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="pie.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/domain/_y.py b/packages/python/plotly/plotly/validators/pie/domain/_y.py
new file mode 100644
index 00000000000..4901b8670a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="pie.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/__init__.py
index b033e859021..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/pie/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/__init__.py
@@ -1,174 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="pie.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="pie.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="pie.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="pie.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="pie.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="pie.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="pie.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="pie.hoverlabel", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="pie.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_align.py
new file mode 100644
index 00000000000..f262ae7fdcd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="pie.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..ccb444a66de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="pie.hoverlabel", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..7a8adb58cac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="pie.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..8684e3e6494
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="pie.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..de96c336133
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="pie.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..a015903d003
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="pie.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_font.py
new file mode 100644
index 00000000000..8c30a828e6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="pie.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..86324404b6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="pie.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..5983538cb0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="pie.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/__init__.py
index f5ad617bc3d..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="pie.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="pie.hoverlabel.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="pie.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="pie.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="pie.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="pie.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..bcebe7f102b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="pie.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..4a66414a7e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="pie.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..063089a12d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="pie.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..63dc086c459
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="pie.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..fa04d765fc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="pie.hoverlabel.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..c0c6674d423
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="pie.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/__init__.py
index 558d178ff34..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/pie/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/__init__.py
@@ -1,96 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="pie.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="pie.insidetextfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="pie.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="pie.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="pie.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="pie.insidetextfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/_color.py
new file mode 100644
index 00000000000..a9d1b1e4d03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="pie.insidetextfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..e68ccf7d1d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="pie.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/_family.py
new file mode 100644
index 00000000000..00c045cb3c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="pie.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..52386f7ef26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="pie.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/_size.py
new file mode 100644
index 00000000000..cd20b82ba76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="pie.insidetextfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/pie/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..38efd4becd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="pie.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/__init__.py b/packages/python/plotly/plotly/validators/pie/marker/__init__.py
index 51c28558e4d..1577e0e840b 100644
--- a/packages/python/plotly/plotly/validators/pie/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/marker/__init__.py
@@ -1,56 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="pie.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the line enclosing each
-                sector.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the line enclosing
-                each sector.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorssrc", parent_name="pie.marker", **kwargs):
-        super(ColorssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="colors", parent_name="pie.marker", **kwargs):
-        super(ColorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._colorssrc import ColorssrcValidator
+    from ._colors import ColorsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._line.LineValidator",
+            "._colorssrc.ColorssrcValidator",
+            "._colors.ColorsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/_colors.py b/packages/python/plotly/plotly/validators/pie/marker/_colors.py
new file mode 100644
index 00000000000..989df8487d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/_colors.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="colors", parent_name="pie.marker", **kwargs):
+        super(ColorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/_colorssrc.py b/packages/python/plotly/plotly/validators/pie/marker/_colorssrc.py
new file mode 100644
index 00000000000..e501579156e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/_colorssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorssrc", parent_name="pie.marker", **kwargs):
+        super(ColorssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/_line.py b/packages/python/plotly/plotly/validators/pie/marker/_line.py
new file mode 100644
index 00000000000..1363d07d82e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/_line.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="pie.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the line enclosing each
+                sector.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the line enclosing
+                each sector.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/line/__init__.py b/packages/python/plotly/plotly/validators/pie/marker/line/__init__.py
index c9b4b4d5e19..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/pie/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/marker/line/__init__.py
@@ -1,57 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="widthsrc", parent_name="pie.marker.line", **kwargs):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="pie.marker.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="pie.marker.line", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="pie.marker.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/line/_color.py b/packages/python/plotly/plotly/validators/pie/marker/line/_color.py
new file mode 100644
index 00000000000..15307ac2b06
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="pie.marker.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/pie/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..fccad527b88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/line/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="pie.marker.line", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/line/_width.py b/packages/python/plotly/plotly/validators/pie/marker/line/_width.py
new file mode 100644
index 00000000000..7cef7477ec6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="pie.marker.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/pie/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..e9fb1e58492
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/marker/line/_widthsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="widthsrc", parent_name="pie.marker.line", **kwargs):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/__init__.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/__init__.py
index 9f091c4393a..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/pie/outsidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="pie.outsidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="pie.outsidetextfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="pie.outsidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="pie.outsidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="pie.outsidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="pie.outsidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/_color.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_color.py
new file mode 100644
index 00000000000..b588827bff3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="pie.outsidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..b4ca37f6037
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="pie.outsidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/_family.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_family.py
new file mode 100644
index 00000000000..9775391fbab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="pie.outsidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_familysrc.py
new file mode 100644
index 00000000000..79c6b8068fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="pie.outsidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/_size.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_size.py
new file mode 100644
index 00000000000..a0ae9378d19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="pie.outsidetextfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/outsidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..bcead05cfdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/outsidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="pie.outsidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/stream/__init__.py b/packages/python/plotly/plotly/validators/pie/stream/__init__.py
index dff50ad5e18..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/pie/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="pie.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="pie.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/pie/stream/_maxpoints.py
new file mode 100644
index 00000000000..17f5fad8f3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="pie.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/stream/_token.py b/packages/python/plotly/plotly/validators/pie/stream/_token.py
new file mode 100644
index 00000000000..6205f2e416c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="pie.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/__init__.py b/packages/python/plotly/plotly/validators/pie/textfont/__init__.py
index e61efc73d35..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/pie/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/textfont/__init__.py
@@ -1,88 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="pie.textfont", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="pie.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="familysrc", parent_name="pie.textfont", **kwargs):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="pie.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="pie.textfont", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="pie.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/_color.py b/packages/python/plotly/plotly/validators/pie/textfont/_color.py
new file mode 100644
index 00000000000..714bfbec477
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="pie.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/pie/textfont/_colorsrc.py
new file mode 100644
index 00000000000..ed2d7db8614
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/textfont/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="pie.textfont", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/_family.py b/packages/python/plotly/plotly/validators/pie/textfont/_family.py
new file mode 100644
index 00000000000..d65c40d4494
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/textfont/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="pie.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/pie/textfont/_familysrc.py
new file mode 100644
index 00000000000..bc54b8b793f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/textfont/_familysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="familysrc", parent_name="pie.textfont", **kwargs):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/_size.py b/packages/python/plotly/plotly/validators/pie/textfont/_size.py
new file mode 100644
index 00000000000..016d7fcff3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="pie.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/pie/textfont/_sizesrc.py
new file mode 100644
index 00000000000..8c40fd2cb65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/textfont/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="pie.textfont", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/__init__.py b/packages/python/plotly/plotly/validators/pie/title/__init__.py
index 5336cfe334e..e46144d81ce 100644
--- a/packages/python/plotly/plotly/validators/pie/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/title/__init__.py
@@ -1,86 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="pie.title", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="position", parent_name="pie.title", **kwargs):
-        super(PositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle center",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="pie.title", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._position import PositionValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._text.TextValidator",
+            "._position.PositionValidator",
+            "._font.FontValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/title/_font.py b/packages/python/plotly/plotly/validators/pie/title/_font.py
new file mode 100644
index 00000000000..68b92800a6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="pie.title", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/_position.py b/packages/python/plotly/plotly/validators/pie/title/_position.py
new file mode 100644
index 00000000000..4363037db44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/_position.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="position", parent_name="pie.title", **kwargs):
+        super(PositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle center",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/_text.py b/packages/python/plotly/plotly/validators/pie/title/_text.py
new file mode 100644
index 00000000000..bf1bcd39b09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="pie.title", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/__init__.py b/packages/python/plotly/plotly/validators/pie/title/font/__init__.py
index 5aaac578edb..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/pie/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/pie/title/font/__init__.py
@@ -1,88 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="pie.title.font", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="pie.title.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="familysrc", parent_name="pie.title.font", **kwargs):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="pie.title.font", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="pie.title.font", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="pie.title.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/_color.py b/packages/python/plotly/plotly/validators/pie/title/font/_color.py
new file mode 100644
index 00000000000..aeaa32f07b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/font/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="pie.title.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/_colorsrc.py b/packages/python/plotly/plotly/validators/pie/title/font/_colorsrc.py
new file mode 100644
index 00000000000..e9c52efe540
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/font/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="pie.title.font", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/_family.py b/packages/python/plotly/plotly/validators/pie/title/font/_family.py
new file mode 100644
index 00000000000..8b658bcaf83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/font/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="pie.title.font", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/_familysrc.py b/packages/python/plotly/plotly/validators/pie/title/font/_familysrc.py
new file mode 100644
index 00000000000..e337f4b5bb2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/font/_familysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="familysrc", parent_name="pie.title.font", **kwargs):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/_size.py b/packages/python/plotly/plotly/validators/pie/title/font/_size.py
new file mode 100644
index 00000000000..437ec43d23d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/font/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="pie.title.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pie/title/font/_sizesrc.py b/packages/python/plotly/plotly/validators/pie/title/font/_sizesrc.py
new file mode 100644
index 00000000000..f604ce09509
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pie/title/font/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="pie.title.font", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/__init__.py b/packages/python/plotly/plotly/validators/pointcloud/__init__.py
index 989ad2a6a5d..92498ebdc93 100644
--- a/packages/python/plotly/plotly/validators/pointcloud/__init__.py
+++ b/packages/python/plotly/plotly/validators/pointcloud/__init__.py
@@ -1,571 +1,80 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="pointcloud", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YboundssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="yboundssrc", parent_name="pointcloud", **kwargs):
-        super(YboundssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YboundsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ybounds", parent_name="pointcloud", **kwargs):
-        super(YboundsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="pointcloud", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="pointcloud", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xysrc", parent_name="pointcloud", **kwargs):
-        super(XysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XyValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="xy", parent_name="pointcloud", **kwargs):
-        super(XyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="pointcloud", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XboundssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xboundssrc", parent_name="pointcloud", **kwargs):
-        super(XboundssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XboundsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="xbounds", parent_name="pointcloud", **kwargs):
-        super(XboundsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="pointcloud", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="pointcloud", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="pointcloud", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="pointcloud", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="pointcloud", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="pointcloud", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="pointcloud", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="pointcloud", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="pointcloud", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="pointcloud", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="pointcloud", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="pointcloud", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="pointcloud", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="pointcloud", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            blend
-                Determines if colors are blended together for a
-                translucency effect in case `opacity` is
-                specified as a value less then `1`. Setting
-                `blend` to `true` reduces zoom/pan speed if
-                used with large numbers of points.
-            border
-                :class:`plotly.graph_objects.pointcloud.marker.
-                Border` instance or dict with compatible
-                properties
-            color
-                Sets the marker fill color. It accepts a
-                specific color.If the color is not fully opaque
-                and there are hundreds of thousandsof points,
-                it may cause slower zooming and panning.
-            opacity
-                Sets the marker opacity. The default value is
-                `1` (fully opaque). If the markers are not
-                fully opaque and there are hundreds of
-                thousands of points, it may cause slower
-                zooming and panning. Opacity fades the color
-                even if `blend` is left on `false` even if
-                there is no translucency effect in that case.
-            sizemax
-                Sets the maximum size (in px) of the rendered
-                marker points. Effective when the `pointcloud`
-                shows only few points.
-            sizemin
-                Sets the minimum size (in px) of the rendered
-                marker points, effective when the `pointcloud`
-                shows a million or more points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="pointcloud", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IndicessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="indicessrc", parent_name="pointcloud", **kwargs):
-        super(IndicessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IndicesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="indices", parent_name="pointcloud", **kwargs):
-        super(IndicesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="pointcloud", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="pointcloud", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="pointcloud", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="pointcloud", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="pointcloud", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="pointcloud", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="pointcloud", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._yboundssrc import YboundssrcValidator
+    from ._ybounds import YboundsValidator
+    from ._yaxis import YaxisValidator
+    from ._y import YValidator
+    from ._xysrc import XysrcValidator
+    from ._xy import XyValidator
+    from ._xsrc import XsrcValidator
+    from ._xboundssrc import XboundssrcValidator
+    from ._xbounds import XboundsValidator
+    from ._xaxis import XaxisValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._indicessrc import IndicessrcValidator
+    from ._indices import IndicesValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._yboundssrc.YboundssrcValidator",
+            "._ybounds.YboundsValidator",
+            "._yaxis.YaxisValidator",
+            "._y.YValidator",
+            "._xysrc.XysrcValidator",
+            "._xy.XyValidator",
+            "._xsrc.XsrcValidator",
+            "._xboundssrc.XboundssrcValidator",
+            "._xbounds.XboundsValidator",
+            "._xaxis.XaxisValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._indicessrc.IndicessrcValidator",
+            "._indices.IndicesValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_customdata.py b/packages/python/plotly/plotly/validators/pointcloud/_customdata.py
new file mode 100644
index 00000000000..c87aa88c93d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="pointcloud", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_customdatasrc.py b/packages/python/plotly/plotly/validators/pointcloud/_customdatasrc.py
new file mode 100644
index 00000000000..23237af71c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="pointcloud", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_hoverinfo.py b/packages/python/plotly/plotly/validators/pointcloud/_hoverinfo.py
new file mode 100644
index 00000000000..2fffddaad4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="pointcloud", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/pointcloud/_hoverinfosrc.py
new file mode 100644
index 00000000000..6a8900148bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="pointcloud", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_hoverlabel.py b/packages/python/plotly/plotly/validators/pointcloud/_hoverlabel.py
new file mode 100644
index 00000000000..7b050553fa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="pointcloud", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_ids.py b/packages/python/plotly/plotly/validators/pointcloud/_ids.py
new file mode 100644
index 00000000000..4140eb4af58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="pointcloud", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_idssrc.py b/packages/python/plotly/plotly/validators/pointcloud/_idssrc.py
new file mode 100644
index 00000000000..8d0f181af64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="pointcloud", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_indices.py b/packages/python/plotly/plotly/validators/pointcloud/_indices.py
new file mode 100644
index 00000000000..e8a27c80f65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_indices.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IndicesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="indices", parent_name="pointcloud", **kwargs):
+        super(IndicesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_indicessrc.py b/packages/python/plotly/plotly/validators/pointcloud/_indicessrc.py
new file mode 100644
index 00000000000..9fb55db3937
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_indicessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IndicessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="indicessrc", parent_name="pointcloud", **kwargs):
+        super(IndicessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_legendgroup.py b/packages/python/plotly/plotly/validators/pointcloud/_legendgroup.py
new file mode 100644
index 00000000000..bc05fced833
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="pointcloud", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_marker.py b/packages/python/plotly/plotly/validators/pointcloud/_marker.py
new file mode 100644
index 00000000000..f146827ee35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_marker.py
@@ -0,0 +1,47 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="pointcloud", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            blend
+                Determines if colors are blended together for a
+                translucency effect in case `opacity` is
+                specified as a value less then `1`. Setting
+                `blend` to `true` reduces zoom/pan speed if
+                used with large numbers of points.
+            border
+                :class:`plotly.graph_objects.pointcloud.marker.
+                Border` instance or dict with compatible
+                properties
+            color
+                Sets the marker fill color. It accepts a
+                specific color.If the color is not fully opaque
+                and there are hundreds of thousandsof points,
+                it may cause slower zooming and panning.
+            opacity
+                Sets the marker opacity. The default value is
+                `1` (fully opaque). If the markers are not
+                fully opaque and there are hundreds of
+                thousands of points, it may cause slower
+                zooming and panning. Opacity fades the color
+                even if `blend` is left on `false` even if
+                there is no translucency effect in that case.
+            sizemax
+                Sets the maximum size (in px) of the rendered
+                marker points. Effective when the `pointcloud`
+                shows only few points.
+            sizemin
+                Sets the minimum size (in px) of the rendered
+                marker points, effective when the `pointcloud`
+                shows a million or more points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_meta.py b/packages/python/plotly/plotly/validators/pointcloud/_meta.py
new file mode 100644
index 00000000000..3476ef34dfe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="pointcloud", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_metasrc.py b/packages/python/plotly/plotly/validators/pointcloud/_metasrc.py
new file mode 100644
index 00000000000..5a0d5066aac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="pointcloud", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_name.py b/packages/python/plotly/plotly/validators/pointcloud/_name.py
new file mode 100644
index 00000000000..ac151324f3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="pointcloud", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_opacity.py b/packages/python/plotly/plotly/validators/pointcloud/_opacity.py
new file mode 100644
index 00000000000..deeca766273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="pointcloud", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_showlegend.py b/packages/python/plotly/plotly/validators/pointcloud/_showlegend.py
new file mode 100644
index 00000000000..c81daaa7991
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="pointcloud", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_stream.py b/packages/python/plotly/plotly/validators/pointcloud/_stream.py
new file mode 100644
index 00000000000..b8915359fd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="pointcloud", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_text.py b/packages/python/plotly/plotly/validators/pointcloud/_text.py
new file mode 100644
index 00000000000..5541c79dfb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="pointcloud", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_textsrc.py b/packages/python/plotly/plotly/validators/pointcloud/_textsrc.py
new file mode 100644
index 00000000000..87a631eebb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="pointcloud", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_uid.py b/packages/python/plotly/plotly/validators/pointcloud/_uid.py
new file mode 100644
index 00000000000..92f57ac9cf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="pointcloud", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_uirevision.py b/packages/python/plotly/plotly/validators/pointcloud/_uirevision.py
new file mode 100644
index 00000000000..5555efc9e2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="pointcloud", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_visible.py b/packages/python/plotly/plotly/validators/pointcloud/_visible.py
new file mode 100644
index 00000000000..98718430196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="pointcloud", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_x.py b/packages/python/plotly/plotly/validators/pointcloud/_x.py
new file mode 100644
index 00000000000..bc1172e3b5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="pointcloud", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_xaxis.py b/packages/python/plotly/plotly/validators/pointcloud/_xaxis.py
new file mode 100644
index 00000000000..0068f68e9c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="pointcloud", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_xbounds.py b/packages/python/plotly/plotly/validators/pointcloud/_xbounds.py
new file mode 100644
index 00000000000..a177f8d3eb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_xbounds.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XboundsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="xbounds", parent_name="pointcloud", **kwargs):
+        super(XboundsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_xboundssrc.py b/packages/python/plotly/plotly/validators/pointcloud/_xboundssrc.py
new file mode 100644
index 00000000000..0dec1da3e78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_xboundssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XboundssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xboundssrc", parent_name="pointcloud", **kwargs):
+        super(XboundssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_xsrc.py b/packages/python/plotly/plotly/validators/pointcloud/_xsrc.py
new file mode 100644
index 00000000000..8033a4c4b43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="pointcloud", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_xy.py b/packages/python/plotly/plotly/validators/pointcloud/_xy.py
new file mode 100644
index 00000000000..1fd53c4513e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_xy.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XyValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="xy", parent_name="pointcloud", **kwargs):
+        super(XyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_xysrc.py b/packages/python/plotly/plotly/validators/pointcloud/_xysrc.py
new file mode 100644
index 00000000000..c0dc8152ec6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_xysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xysrc", parent_name="pointcloud", **kwargs):
+        super(XysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_y.py b/packages/python/plotly/plotly/validators/pointcloud/_y.py
new file mode 100644
index 00000000000..cf993b5f0f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="pointcloud", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_yaxis.py b/packages/python/plotly/plotly/validators/pointcloud/_yaxis.py
new file mode 100644
index 00000000000..454545b8e80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="pointcloud", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_ybounds.py b/packages/python/plotly/plotly/validators/pointcloud/_ybounds.py
new file mode 100644
index 00000000000..3dec24ed178
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_ybounds.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YboundsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ybounds", parent_name="pointcloud", **kwargs):
+        super(YboundsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_yboundssrc.py b/packages/python/plotly/plotly/validators/pointcloud/_yboundssrc.py
new file mode 100644
index 00000000000..43c8b94ae35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_yboundssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YboundssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="yboundssrc", parent_name="pointcloud", **kwargs):
+        super(YboundssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/_ysrc.py b/packages/python/plotly/plotly/validators/pointcloud/_ysrc.py
new file mode 100644
index 00000000000..e858bcfb72b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="pointcloud", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/__init__.py
index ba64dc49400..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/__init__.py
@@ -1,185 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="pointcloud.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="pointcloud.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_align.py
new file mode 100644
index 00000000000..257d97b42fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..94d86965092
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..3d0a449fe50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..239ef8a9a9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..b7b4722c8d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..3ae41d7e0d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="pointcloud.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_font.py
new file mode 100644
index 00000000000..d43b2fa8cc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f17b690d8e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..5f3a861c0ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="pointcloud.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/__init__.py
index 3f0f71ba80f..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/__init__.py
@@ -1,103 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="pointcloud.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="pointcloud.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="pointcloud.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="pointcloud.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="pointcloud.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="pointcloud.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..730942050c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="pointcloud.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..fc7b049a00b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="pointcloud.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..bbfc7b0b0fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="pointcloud.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b429638a067
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="pointcloud.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..392724c8d69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="pointcloud.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..e5d8a48096e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="pointcloud.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/__init__.py b/packages/python/plotly/plotly/validators/pointcloud/marker/__init__.py
index 11150c3fd20..60b336e2643 100644
--- a/packages/python/plotly/plotly/validators/pointcloud/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/__init__.py
@@ -1,107 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="pointcloud.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0.1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemax", parent_name="pointcloud.marker", **kwargs
-    ):
-        super(SizemaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0.1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="pointcloud.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="pointcloud.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="border", parent_name="pointcloud.marker", **kwargs):
-        super(BorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Border"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            arearatio
-                Specifies what fraction of the marker area is
-                covered with the border.
-            color
-                Sets the stroke color. It accepts a specific
-                color. If the color is not fully opaque and
-                there are hundreds of thousands of points, it
-                may cause slower zooming and panning.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BlendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="blend", parent_name="pointcloud.marker", **kwargs):
-        super(BlendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizemin import SizeminValidator
+    from ._sizemax import SizemaxValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+    from ._border import BorderValidator
+    from ._blend import BlendValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizemin.SizeminValidator",
+            "._sizemax.SizemaxValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+            "._border.BorderValidator",
+            "._blend.BlendValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/_blend.py b/packages/python/plotly/plotly/validators/pointcloud/marker/_blend.py
new file mode 100644
index 00000000000..a7159c96a6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/_blend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BlendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="blend", parent_name="pointcloud.marker", **kwargs):
+        super(BlendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/_border.py b/packages/python/plotly/plotly/validators/pointcloud/marker/_border.py
new file mode 100644
index 00000000000..4f7cf13d37a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/_border.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class BorderValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="border", parent_name="pointcloud.marker", **kwargs):
+        super(BorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Border"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            arearatio
+                Specifies what fraction of the marker area is
+                covered with the border.
+            color
+                Sets the stroke color. It accepts a specific
+                color. If the color is not fully opaque and
+                there are hundreds of thousands of points, it
+                may cause slower zooming and panning.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/_color.py b/packages/python/plotly/plotly/validators/pointcloud/marker/_color.py
new file mode 100644
index 00000000000..e26044b970d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="pointcloud.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/_opacity.py b/packages/python/plotly/plotly/validators/pointcloud/marker/_opacity.py
new file mode 100644
index 00000000000..0aacfbc4c4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="pointcloud.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/_sizemax.py b/packages/python/plotly/plotly/validators/pointcloud/marker/_sizemax.py
new file mode 100644
index 00000000000..336b0e6ab5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/_sizemax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemax", parent_name="pointcloud.marker", **kwargs
+    ):
+        super(SizemaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0.1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/_sizemin.py b/packages/python/plotly/plotly/validators/pointcloud/marker/_sizemin.py
new file mode 100644
index 00000000000..9a3badfd812
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/_sizemin.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="pointcloud.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0.1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/border/__init__.py b/packages/python/plotly/plotly/validators/pointcloud/marker/border/__init__.py
index 6ea1e9bc1da..b40bee3870b 100644
--- a/packages/python/plotly/plotly/validators/pointcloud/marker/border/__init__.py
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/border/__init__.py
@@ -1,33 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+    from ._arearatio import ArearatioValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="pointcloud.marker.border", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArearatioValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="arearatio", parent_name="pointcloud.marker.border", **kwargs
-    ):
-        super(ArearatioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator", "._arearatio.ArearatioValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/border/_arearatio.py b/packages/python/plotly/plotly/validators/pointcloud/marker/border/_arearatio.py
new file mode 100644
index 00000000000..481437b45cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/border/_arearatio.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ArearatioValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="arearatio", parent_name="pointcloud.marker.border", **kwargs
+    ):
+        super(ArearatioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/marker/border/_color.py b/packages/python/plotly/plotly/validators/pointcloud/marker/border/_color.py
new file mode 100644
index 00000000000..873d1c025f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/marker/border/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="pointcloud.marker.border", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/stream/__init__.py b/packages/python/plotly/plotly/validators/pointcloud/stream/__init__.py
index a2d602f76f2..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/pointcloud/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/pointcloud/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="pointcloud.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="pointcloud.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/pointcloud/stream/_maxpoints.py
new file mode 100644
index 00000000000..5dda0948901
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="pointcloud.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/pointcloud/stream/_token.py b/packages/python/plotly/plotly/validators/pointcloud/stream/_token.py
new file mode 100644
index 00000000000..73afdebe3dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/pointcloud/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="pointcloud.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/__init__.py b/packages/python/plotly/plotly/validators/sankey/__init__.py
index 2e8deeecfd1..05c5a527be7 100644
--- a/packages/python/plotly/plotly/validators/sankey/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/__init__.py
@@ -1,589 +1,56 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="sankey", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="valuesuffix", parent_name="sankey", **kwargs):
-        super(ValuesuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="valueformat", parent_name="sankey", **kwargs):
-        super(ValueformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="sankey", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="sankey", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="sankey", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="sankey", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="sankey", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="sankey", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NodeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="node", parent_name="sankey", **kwargs):
-        super(NodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Node"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the `node` color. It can be a single
-                value, or an array for specifying color for
-                each `node`. If `node.color` is omitted, then
-                the default `Plotly` color palette will be
-                cycled through to have a variety of colors.
-                These defaults are not fully opaque, to allow
-                some visibility of what is beneath the node.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            customdata
-                Assigns extra data to each node.
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            groups
-                Groups of nodes. Each group is defined by an
-                array with the indices of the nodes it
-                contains. Multiple groups can be specified.
-            hoverinfo
-                Determines which trace information appear when
-                hovering nodes. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverlabel
-                :class:`plotly.graph_objects.sankey.node.Hoverl
-                abel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `value` and `label`. Anything
-                contained in tag `<extra>` is displayed in the
-                secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            label
-                The shown name of the node.
-            labelsrc
-                Sets the source reference on Chart Studio Cloud
-                for  label .
-            line
-                :class:`plotly.graph_objects.sankey.node.Line`
-                instance or dict with compatible properties
-            pad
-                Sets the padding (in px) between the `nodes`.
-            thickness
-                Sets the thickness (in px) of the `nodes`.
-            x
-                The normalized horizontal position of the node.
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                The normalized vertical position of the node.
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="sankey", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="sankey", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="sankey", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LinkValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="link", parent_name="sankey", **kwargs):
-        super(LinkValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Link"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the `link` color. It can be a single
-                value, or an array for specifying color for
-                each `link`. If `link.color` is omitted, then
-                by default, a translucent grey link will be
-                used.
-            colorscales
-                A tuple of :class:`plotly.graph_objects.sankey.
-                link.Colorscale` instances or dicts with
-                compatible properties
-            colorscaledefaults
-                When used in a template (as layout.template.dat
-                a.sankey.link.colorscaledefaults), sets the
-                default property values to use for elements of
-                sankey.link.colorscales
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            customdata
-                Assigns extra data to each link.
-            customdatasrc
-                Sets the source reference on Chart Studio Cloud
-                for  customdata .
-            hoverinfo
-                Determines which trace information appear when
-                hovering links. If `none` or `skip` are set, no
-                information is displayed upon hovering. But, if
-                `none` is set, click and hover events are still
-                fired.
-            hoverlabel
-                :class:`plotly.graph_objects.sankey.link.Hoverl
-                abel` instance or dict with compatible
-                properties
-            hovertemplate
-                Template string used for rendering the
-                information that appear on hover box. Note that
-                this will override `hoverinfo`. Variables are
-                inserted using %{variable}, for example "y:
-                %{y}". Numbers are formatted using d3-format's
-                syntax %{variable:d3-format}, for example
-                "Price: %{y:$.2f}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                for details on the formatting syntax. Dates are
-                formatted using d3-time-format's syntax
-                %{variable|d3-time-format}, for example "Day:
-                %{2019-01-01|%A}".
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                for details on the date formatting syntax. The
-                variables available in `hovertemplate` are the
-                ones emitted as event data described at this
-                link https://plotly.com/javascript/plotlyjs-
-                events/#event-data. Additionally, every
-                attributes that can be specified per-point (the
-                ones that are `arrayOk: true`) are available.
-                variables `value` and `label`. Anything
-                contained in tag `<extra>` is displayed in the
-                secondary box, for example
-                "<extra>{fullData.name}</extra>". To hide the
-                secondary box completely, use an empty tag
-                `<extra></extra>`.
-            hovertemplatesrc
-                Sets the source reference on Chart Studio Cloud
-                for  hovertemplate .
-            label
-                The shown name of the link.
-            labelsrc
-                Sets the source reference on Chart Studio Cloud
-                for  label .
-            line
-                :class:`plotly.graph_objects.sankey.link.Line`
-                instance or dict with compatible properties
-            source
-                An integer number `[0..nodes.length - 1]` that
-                represents the source node.
-            sourcesrc
-                Sets the source reference on Chart Studio Cloud
-                for  source .
-            target
-                An integer number `[0..nodes.length - 1]` that
-                represents the target node.
-            targetsrc
-                Sets the source reference on Chart Studio Cloud
-                for  target .
-            value
-                A numeric value representing the flow volume
-                value.
-            valuesrc
-                Sets the source reference on Chart Studio Cloud
-                for  value .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="sankey", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="sankey", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="sankey", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="sankey", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", []),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="sankey", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this sankey trace .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this sankey trace .
-            x
-                Sets the horizontal domain of this sankey trace
-                (in plot fraction).
-            y
-                Sets the vertical domain of this sankey trace
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="sankey", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="sankey", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrangementValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="arrangement", parent_name="sankey", **kwargs):
-        super(ArrangementValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["snap", "perpendicular", "freeform", "fixed"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuesuffix import ValuesuffixValidator
+    from ._valueformat import ValueformatValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textfont import TextfontValidator
+    from ._stream import StreamValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._orientation import OrientationValidator
+    from ._node import NodeValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._link import LinkValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._domain import DomainValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._arrangement import ArrangementValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuesuffix.ValuesuffixValidator",
+            "._valueformat.ValueformatValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textfont.TextfontValidator",
+            "._stream.StreamValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._orientation.OrientationValidator",
+            "._node.NodeValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._link.LinkValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._domain.DomainValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._arrangement.ArrangementValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/_arrangement.py b/packages/python/plotly/plotly/validators/sankey/_arrangement.py
new file mode 100644
index 00000000000..d6eef144088
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_arrangement.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ArrangementValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="arrangement", parent_name="sankey", **kwargs):
+        super(ArrangementValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["snap", "perpendicular", "freeform", "fixed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_customdata.py b/packages/python/plotly/plotly/validators/sankey/_customdata.py
new file mode 100644
index 00000000000..4e011850e52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="sankey", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_customdatasrc.py b/packages/python/plotly/plotly/validators/sankey/_customdatasrc.py
new file mode 100644
index 00000000000..b22e67f7138
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="sankey", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_domain.py b/packages/python/plotly/plotly/validators/sankey/_domain.py
new file mode 100644
index 00000000000..a443aee64f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_domain.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="sankey", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this sankey trace .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this sankey trace .
+            x
+                Sets the horizontal domain of this sankey trace
+                (in plot fraction).
+            y
+                Sets the vertical domain of this sankey trace
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_hoverinfo.py b/packages/python/plotly/plotly/validators/sankey/_hoverinfo.py
new file mode 100644
index 00000000000..d57c3b4655b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="sankey", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", []),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_hoverlabel.py b/packages/python/plotly/plotly/validators/sankey/_hoverlabel.py
new file mode 100644
index 00000000000..aecd151baed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="sankey", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_ids.py b/packages/python/plotly/plotly/validators/sankey/_ids.py
new file mode 100644
index 00000000000..936f315051d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="sankey", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_idssrc.py b/packages/python/plotly/plotly/validators/sankey/_idssrc.py
new file mode 100644
index 00000000000..9083d884be9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="sankey", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_link.py b/packages/python/plotly/plotly/validators/sankey/_link.py
new file mode 100644
index 00000000000..b2d99b45743
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_link.py
@@ -0,0 +1,107 @@
+import _plotly_utils.basevalidators
+
+
+class LinkValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="link", parent_name="sankey", **kwargs):
+        super(LinkValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Link"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the `link` color. It can be a single
+                value, or an array for specifying color for
+                each `link`. If `link.color` is omitted, then
+                by default, a translucent grey link will be
+                used.
+            colorscales
+                A tuple of :class:`plotly.graph_objects.sankey.
+                link.Colorscale` instances or dicts with
+                compatible properties
+            colorscaledefaults
+                When used in a template (as layout.template.dat
+                a.sankey.link.colorscaledefaults), sets the
+                default property values to use for elements of
+                sankey.link.colorscales
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            customdata
+                Assigns extra data to each link.
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            hoverinfo
+                Determines which trace information appear when
+                hovering links. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverlabel
+                :class:`plotly.graph_objects.sankey.link.Hoverl
+                abel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `value` and `label`. Anything
+                contained in tag `<extra>` is displayed in the
+                secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            label
+                The shown name of the link.
+            labelsrc
+                Sets the source reference on Chart Studio Cloud
+                for  label .
+            line
+                :class:`plotly.graph_objects.sankey.link.Line`
+                instance or dict with compatible properties
+            source
+                An integer number `[0..nodes.length - 1]` that
+                represents the source node.
+            sourcesrc
+                Sets the source reference on Chart Studio Cloud
+                for  source .
+            target
+                An integer number `[0..nodes.length - 1]` that
+                represents the target node.
+            targetsrc
+                Sets the source reference on Chart Studio Cloud
+                for  target .
+            value
+                A numeric value representing the flow volume
+                value.
+            valuesrc
+                Sets the source reference on Chart Studio Cloud
+                for  value .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_meta.py b/packages/python/plotly/plotly/validators/sankey/_meta.py
new file mode 100644
index 00000000000..21846ff2e6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="sankey", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_metasrc.py b/packages/python/plotly/plotly/validators/sankey/_metasrc.py
new file mode 100644
index 00000000000..f300f81d97a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="sankey", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_name.py b/packages/python/plotly/plotly/validators/sankey/_name.py
new file mode 100644
index 00000000000..85ac845bc19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="sankey", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_node.py b/packages/python/plotly/plotly/validators/sankey/_node.py
new file mode 100644
index 00000000000..d3faf95e58d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_node.py
@@ -0,0 +1,100 @@
+import _plotly_utils.basevalidators
+
+
+class NodeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="node", parent_name="sankey", **kwargs):
+        super(NodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Node"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the `node` color. It can be a single
+                value, or an array for specifying color for
+                each `node`. If `node.color` is omitted, then
+                the default `Plotly` color palette will be
+                cycled through to have a variety of colors.
+                These defaults are not fully opaque, to allow
+                some visibility of what is beneath the node.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            customdata
+                Assigns extra data to each node.
+            customdatasrc
+                Sets the source reference on Chart Studio Cloud
+                for  customdata .
+            groups
+                Groups of nodes. Each group is defined by an
+                array with the indices of the nodes it
+                contains. Multiple groups can be specified.
+            hoverinfo
+                Determines which trace information appear when
+                hovering nodes. If `none` or `skip` are set, no
+                information is displayed upon hovering. But, if
+                `none` is set, click and hover events are still
+                fired.
+            hoverlabel
+                :class:`plotly.graph_objects.sankey.node.Hoverl
+                abel` instance or dict with compatible
+                properties
+            hovertemplate
+                Template string used for rendering the
+                information that appear on hover box. Note that
+                this will override `hoverinfo`. Variables are
+                inserted using %{variable}, for example "y:
+                %{y}". Numbers are formatted using d3-format's
+                syntax %{variable:d3-format}, for example
+                "Price: %{y:$.2f}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                for details on the formatting syntax. Dates are
+                formatted using d3-time-format's syntax
+                %{variable|d3-time-format}, for example "Day:
+                %{2019-01-01|%A}".
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                for details on the date formatting syntax. The
+                variables available in `hovertemplate` are the
+                ones emitted as event data described at this
+                link https://plotly.com/javascript/plotlyjs-
+                events/#event-data. Additionally, every
+                attributes that can be specified per-point (the
+                ones that are `arrayOk: true`) are available.
+                variables `value` and `label`. Anything
+                contained in tag `<extra>` is displayed in the
+                secondary box, for example
+                "<extra>{fullData.name}</extra>". To hide the
+                secondary box completely, use an empty tag
+                `<extra></extra>`.
+            hovertemplatesrc
+                Sets the source reference on Chart Studio Cloud
+                for  hovertemplate .
+            label
+                The shown name of the node.
+            labelsrc
+                Sets the source reference on Chart Studio Cloud
+                for  label .
+            line
+                :class:`plotly.graph_objects.sankey.node.Line`
+                instance or dict with compatible properties
+            pad
+                Sets the padding (in px) between the `nodes`.
+            thickness
+                Sets the thickness (in px) of the `nodes`.
+            x
+                The normalized horizontal position of the node.
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                The normalized vertical position of the node.
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_orientation.py b/packages/python/plotly/plotly/validators/sankey/_orientation.py
new file mode 100644
index 00000000000..6b3d6cdf939
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="sankey", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_selectedpoints.py b/packages/python/plotly/plotly/validators/sankey/_selectedpoints.py
new file mode 100644
index 00000000000..1c8396f3347
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="sankey", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_stream.py b/packages/python/plotly/plotly/validators/sankey/_stream.py
new file mode 100644
index 00000000000..e908ed5f258
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="sankey", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_textfont.py b/packages/python/plotly/plotly/validators/sankey/_textfont.py
new file mode 100644
index 00000000000..c401db00529
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_textfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="sankey", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_uid.py b/packages/python/plotly/plotly/validators/sankey/_uid.py
new file mode 100644
index 00000000000..a48cd885267
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="sankey", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_uirevision.py b/packages/python/plotly/plotly/validators/sankey/_uirevision.py
new file mode 100644
index 00000000000..be4381cc97a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="sankey", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_valueformat.py b/packages/python/plotly/plotly/validators/sankey/_valueformat.py
new file mode 100644
index 00000000000..5694305bcac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_valueformat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValueformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="valueformat", parent_name="sankey", **kwargs):
+        super(ValueformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_valuesuffix.py b/packages/python/plotly/plotly/validators/sankey/_valuesuffix.py
new file mode 100644
index 00000000000..f28d258d696
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_valuesuffix.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="valuesuffix", parent_name="sankey", **kwargs):
+        super(ValuesuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/_visible.py b/packages/python/plotly/plotly/validators/sankey/_visible.py
new file mode 100644
index 00000000000..46a0a1a1d14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="sankey", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/domain/__init__.py b/packages/python/plotly/plotly/validators/sankey/domain/__init__.py
index e9b80643266..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/sankey/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="sankey.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="sankey.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="sankey.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="sankey.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/domain/_column.py b/packages/python/plotly/plotly/validators/sankey/domain/_column.py
new file mode 100644
index 00000000000..26d8f0f233a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="sankey.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/domain/_row.py b/packages/python/plotly/plotly/validators/sankey/domain/_row.py
new file mode 100644
index 00000000000..0d5a4e71acf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="sankey.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/domain/_x.py b/packages/python/plotly/plotly/validators/sankey/domain/_x.py
new file mode 100644
index 00000000000..210f812da89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="sankey.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/domain/_y.py b/packages/python/plotly/plotly/validators/sankey/domain/_y.py
new file mode 100644
index 00000000000..ea6334a7934
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="sankey.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/__init__.py
index 77dc411ee91..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/sankey/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="sankey.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="sankey.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="sankey.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_align.py
new file mode 100644
index 00000000000..9d08e51c4a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="sankey.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..44ef114292d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..a0435ee5d08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..c35d15ffdf4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..cf9dd26c84a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..ca372aa722a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_font.py
new file mode 100644
index 00000000000..2033a87bb81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="sankey.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..bc9e103a3a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..8b9c1dfa487
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="sankey.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/__init__.py
index 589ca3d170e..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sankey.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="sankey.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="sankey.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="sankey.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sankey.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sankey.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..32910021b3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sankey.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..ef6a1392673
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sankey.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..84d73f26d9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="sankey.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..95444f6793b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="sankey.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..01579824066
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="sankey.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..f2e8722b29c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sankey.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/__init__.py b/packages/python/plotly/plotly/validators/sankey/link/__init__.py
index ab516c6b36d..434b444c22c 100644
--- a/packages/python/plotly/plotly/validators/sankey/link/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/link/__init__.py
@@ -1,380 +1,50 @@
-import _plotly_utils.basevalidators
-
-
-class ValuesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuesrc", parent_name="sankey.link", **kwargs):
-        super(ValuesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="value", parent_name="sankey.link", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TargetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="targetsrc", parent_name="sankey.link", **kwargs):
-        super(TargetsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TargetValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="target", parent_name="sankey.link", **kwargs):
-        super(TargetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourcesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sourcesrc", parent_name="sankey.link", **kwargs):
-        super(SourcesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SourceValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="source", parent_name="sankey.link", **kwargs):
-        super(SourceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="sankey.link", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the `line` around each
-                `link`.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the `line` around
-                each `link`.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="labelsrc", parent_name="sankey.link", **kwargs):
-        super(LabelsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="label", parent_name="sankey.link", **kwargs):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="sankey.link", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="sankey.link", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="sankey.link", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="sankey.link", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["all", "none", "skip"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="sankey.link", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="sankey.link", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="sankey.link", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorscaledefaults", parent_name="sankey.link", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Colorscale"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscalesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="colorscales", parent_name="sankey.link", **kwargs):
-        super(ColorscalesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Colorscale"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            cmax
-                Sets the upper bound of the color domain.
-            cmin
-                Sets the lower bound of the color domain.
-            colorscale
-                Sets the colorscale. The colorscale must be an
-                array containing arrays mapping a normalized
-                value to an rgb, rgba, hex, hsl, hsv, or named
-                color string. At minimum, a mapping for the
-                lowest (0) and highest (1) values are required.
-                For example, `[[0, 'rgb(0,0,255)'], [1,
-                'rgb(255,0,0)']]`. To control the bounds of the
-                colorscale in color space, use`cmin` and
-                `cmax`. Alternatively, `colorscale` may be a
-                palette name string of the following list: Grey
-                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
-                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
-                ,Electric,Viridis,Cividis.
-            label
-                The label of the links to color based on their
-                concentration within a flow.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="sankey.link", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._valuesrc import ValuesrcValidator
+    from ._value import ValueValidator
+    from ._targetsrc import TargetsrcValidator
+    from ._target import TargetValidator
+    from ._sourcesrc import SourcesrcValidator
+    from ._source import SourceValidator
+    from ._line import LineValidator
+    from ._labelsrc import LabelsrcValidator
+    from ._label import LabelValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscaledefaults import ColorscaledefaultsValidator
+    from ._colorscales import ColorscalesValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._valuesrc.ValuesrcValidator",
+            "._value.ValueValidator",
+            "._targetsrc.TargetsrcValidator",
+            "._target.TargetValidator",
+            "._sourcesrc.SourcesrcValidator",
+            "._source.SourceValidator",
+            "._line.LineValidator",
+            "._labelsrc.LabelsrcValidator",
+            "._label.LabelValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscaledefaults.ColorscaledefaultsValidator",
+            "._colorscales.ColorscalesValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_color.py b/packages/python/plotly/plotly/validators/sankey/link/_color.py
new file mode 100644
index 00000000000..12fe676db75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="sankey.link", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_colorscaledefaults.py b/packages/python/plotly/plotly/validators/sankey/link/_colorscaledefaults.py
new file mode 100644
index 00000000000..d91392def50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_colorscaledefaults.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaledefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorscaledefaults", parent_name="sankey.link", **kwargs
+    ):
+        super(ColorscaledefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Colorscale"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_colorscales.py b/packages/python/plotly/plotly/validators/sankey/link/_colorscales.py
new file mode 100644
index 00000000000..4e56a57f6da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_colorscales.py
@@ -0,0 +1,58 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscalesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="colorscales", parent_name="sankey.link", **kwargs):
+        super(ColorscalesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Colorscale"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            cmax
+                Sets the upper bound of the color domain.
+            cmin
+                Sets the lower bound of the color domain.
+            colorscale
+                Sets the colorscale. The colorscale must be an
+                array containing arrays mapping a normalized
+                value to an rgb, rgba, hex, hsl, hsv, or named
+                color string. At minimum, a mapping for the
+                lowest (0) and highest (1) values are required.
+                For example, `[[0, 'rgb(0,0,255)'], [1,
+                'rgb(255,0,0)']]`. To control the bounds of the
+                colorscale in color space, use`cmin` and
+                `cmax`. Alternatively, `colorscale` may be a
+                palette name string of the following list: Grey
+                s,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,
+                Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth
+                ,Electric,Viridis,Cividis.
+            label
+                The label of the links to color based on their
+                concentration within a flow.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/link/_colorsrc.py
new file mode 100644
index 00000000000..857eb0a995c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="sankey.link", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_customdata.py b/packages/python/plotly/plotly/validators/sankey/link/_customdata.py
new file mode 100644
index 00000000000..a0990e45e56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="sankey.link", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_customdatasrc.py b/packages/python/plotly/plotly/validators/sankey/link/_customdatasrc.py
new file mode 100644
index 00000000000..40efef76bf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="sankey.link", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_hoverinfo.py b/packages/python/plotly/plotly/validators/sankey/link/_hoverinfo.py
new file mode 100644
index 00000000000..46cec12d97c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_hoverinfo.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="sankey.link", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["all", "none", "skip"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_hoverlabel.py b/packages/python/plotly/plotly/validators/sankey/link/_hoverlabel.py
new file mode 100644
index 00000000000..54fade7bb44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="sankey.link", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_hovertemplate.py b/packages/python/plotly/plotly/validators/sankey/link/_hovertemplate.py
new file mode 100644
index 00000000000..43d4a559984
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="sankey.link", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/sankey/link/_hovertemplatesrc.py
new file mode 100644
index 00000000000..9791067d5a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="sankey.link", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_label.py b/packages/python/plotly/plotly/validators/sankey/link/_label.py
new file mode 100644
index 00000000000..52068fc7c60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_label.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="label", parent_name="sankey.link", **kwargs):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_labelsrc.py b/packages/python/plotly/plotly/validators/sankey/link/_labelsrc.py
new file mode 100644
index 00000000000..2a9538f51ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_labelsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="labelsrc", parent_name="sankey.link", **kwargs):
+        super(LabelsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_line.py b/packages/python/plotly/plotly/validators/sankey/link/_line.py
new file mode 100644
index 00000000000..3cadbb4e286
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_line.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="sankey.link", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the `line` around each
+                `link`.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the `line` around
+                each `link`.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_source.py b/packages/python/plotly/plotly/validators/sankey/link/_source.py
new file mode 100644
index 00000000000..65c7b8fad41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_source.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SourceValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="source", parent_name="sankey.link", **kwargs):
+        super(SourceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_sourcesrc.py b/packages/python/plotly/plotly/validators/sankey/link/_sourcesrc.py
new file mode 100644
index 00000000000..05bdf46409f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_sourcesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SourcesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sourcesrc", parent_name="sankey.link", **kwargs):
+        super(SourcesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_target.py b/packages/python/plotly/plotly/validators/sankey/link/_target.py
new file mode 100644
index 00000000000..9db44a821b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_target.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TargetValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="target", parent_name="sankey.link", **kwargs):
+        super(TargetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_targetsrc.py b/packages/python/plotly/plotly/validators/sankey/link/_targetsrc.py
new file mode 100644
index 00000000000..8a58f0df9bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_targetsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TargetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="targetsrc", parent_name="sankey.link", **kwargs):
+        super(TargetsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_value.py b/packages/python/plotly/plotly/validators/sankey/link/_value.py
new file mode 100644
index 00000000000..5c3e16e63ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_value.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="value", parent_name="sankey.link", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/_valuesrc.py b/packages/python/plotly/plotly/validators/sankey/link/_valuesrc.py
new file mode 100644
index 00000000000..07fa5e288e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/_valuesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuesrc", parent_name="sankey.link", **kwargs):
+        super(ValuesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/__init__.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/__init__.py
index 3e4c9797f0b..c3883464ebd 100644
--- a/packages/python/plotly/plotly/validators/sankey/link/colorscale/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="sankey.link.colorscale",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="sankey.link.colorscale", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="label", parent_name="sankey.link.colorscale", **kwargs
-    ):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="sankey.link.colorscale", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="sankey.link.colorscale", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="sankey.link.colorscale", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._label import LabelValidator
+    from ._colorscale import ColorscaleValidator
+    from ._cmin import CminValidator
+    from ._cmax import CmaxValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._label.LabelValidator",
+            "._colorscale.ColorscaleValidator",
+            "._cmin.CminValidator",
+            "._cmax.CmaxValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/_cmax.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_cmax.py
new file mode 100644
index 00000000000..8ff75676214
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_cmax.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="sankey.link.colorscale", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/_cmin.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_cmin.py
new file mode 100644
index 00000000000..1f95cd10262
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_cmin.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="sankey.link.colorscale", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/_colorscale.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_colorscale.py
new file mode 100644
index 00000000000..f2651d29054
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="sankey.link.colorscale", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/_label.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_label.py
new file mode 100644
index 00000000000..56a5a8d4aee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_label.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="label", parent_name="sankey.link.colorscale", **kwargs
+    ):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/_name.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_name.py
new file mode 100644
index 00000000000..b60bd111c31
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="sankey.link.colorscale", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/colorscale/_templateitemname.py b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_templateitemname.py
new file mode 100644
index 00000000000..0419bfe6c51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/colorscale/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="sankey.link.colorscale",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/__init__.py
index 67f692b0b16..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/__init__.py
@@ -1,188 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="sankey.link.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="sankey.link.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="sankey.link.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_align.py
new file mode 100644
index 00000000000..b983b5b08c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..3587e1aba99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..b8f23945510
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..0862f6b2a5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..58d1abf56f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..17fd199427a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="sankey.link.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_font.py
new file mode 100644
index 00000000000..a45f370c226
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..73b7ac9c2a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="sankey.link.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3d9f6c069ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="sankey.link.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/__init__.py
index 8b89e74800a..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/__init__.py
@@ -1,106 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sankey.link.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="sankey.link.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="sankey.link.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="sankey.link.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="sankey.link.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sankey.link.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..57fd24362c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sankey.link.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..8515571458d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="sankey.link.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..511eda43072
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="sankey.link.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..42fa5ee99b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="sankey.link.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..5ceef5d346a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="sankey.link.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..a1fce89c985
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sankey.link.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/line/__init__.py b/packages/python/plotly/plotly/validators/sankey/link/line/__init__.py
index 25d80a6fee7..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/sankey/link/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/link/line/__init__.py
@@ -1,61 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="sankey.link.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="sankey.link.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sankey.link.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="sankey.link.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/line/_color.py b/packages/python/plotly/plotly/validators/sankey/link/line/_color.py
new file mode 100644
index 00000000000..36ff754abf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="sankey.link.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/line/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/link/line/_colorsrc.py
new file mode 100644
index 00000000000..aad29459d0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sankey.link.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/line/_width.py b/packages/python/plotly/plotly/validators/sankey/link/line/_width.py
new file mode 100644
index 00000000000..11a12773b27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="sankey.link.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/link/line/_widthsrc.py b/packages/python/plotly/plotly/validators/sankey/link/line/_widthsrc.py
new file mode 100644
index 00000000000..ab44485dcd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/link/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="sankey.link.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/__init__.py b/packages/python/plotly/plotly/validators/sankey/node/__init__.py
index ed43ab3a3dc..33e3ac82e42 100644
--- a/packages/python/plotly/plotly/validators/sankey/node/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/node/__init__.py
@@ -1,322 +1,48 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="sankey.node", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="sankey.node", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="sankey.node", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="sankey.node", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="thickness", parent_name="sankey.node", **kwargs):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pad", parent_name="sankey.node", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="sankey.node", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the `line` around each
-                `node`.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the `line` around
-                each `node`.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="labelsrc", parent_name="sankey.node", **kwargs):
-        super(LabelsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="label", parent_name="sankey.node", **kwargs):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="sankey.node", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="sankey.node", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="sankey.node", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="sankey.node", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["all", "none", "skip"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GroupsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="groups", parent_name="sankey.node", **kwargs):
-        super(GroupsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dimensions=kwargs.pop("dimensions", 2),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            free_length=kwargs.pop("free_length", True),
-            implied_edits=kwargs.pop("implied_edits", {"x": [], "y": []}),
-            items=kwargs.pop("items", {"valType": "number", "editType": "calc"}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="sankey.node", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="sankey.node", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="sankey.node", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="sankey.node", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._x import XValidator
+    from ._thickness import ThicknessValidator
+    from ._pad import PadValidator
+    from ._line import LineValidator
+    from ._labelsrc import LabelsrcValidator
+    from ._label import LabelValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._groups import GroupsValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._x.XValidator",
+            "._thickness.ThicknessValidator",
+            "._pad.PadValidator",
+            "._line.LineValidator",
+            "._labelsrc.LabelsrcValidator",
+            "._label.LabelValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._groups.GroupsValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_color.py b/packages/python/plotly/plotly/validators/sankey/node/_color.py
new file mode 100644
index 00000000000..0e308eee924
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="sankey.node", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/node/_colorsrc.py
new file mode 100644
index 00000000000..7625e588168
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="sankey.node", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_customdata.py b/packages/python/plotly/plotly/validators/sankey/node/_customdata.py
new file mode 100644
index 00000000000..b958e60f2be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="sankey.node", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_customdatasrc.py b/packages/python/plotly/plotly/validators/sankey/node/_customdatasrc.py
new file mode 100644
index 00000000000..cd9ae88caa4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="sankey.node", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_groups.py b/packages/python/plotly/plotly/validators/sankey/node/_groups.py
new file mode 100644
index 00000000000..75a9d62f09d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_groups.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class GroupsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="groups", parent_name="sankey.node", **kwargs):
+        super(GroupsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dimensions=kwargs.pop("dimensions", 2),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            free_length=kwargs.pop("free_length", True),
+            implied_edits=kwargs.pop("implied_edits", {"x": [], "y": []}),
+            items=kwargs.pop("items", {"valType": "number", "editType": "calc"}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_hoverinfo.py b/packages/python/plotly/plotly/validators/sankey/node/_hoverinfo.py
new file mode 100644
index 00000000000..80cbb0c3807
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_hoverinfo.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="sankey.node", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["all", "none", "skip"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_hoverlabel.py b/packages/python/plotly/plotly/validators/sankey/node/_hoverlabel.py
new file mode 100644
index 00000000000..1899adb8335
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="sankey.node", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_hovertemplate.py b/packages/python/plotly/plotly/validators/sankey/node/_hovertemplate.py
new file mode 100644
index 00000000000..526b16dfa35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="sankey.node", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/sankey/node/_hovertemplatesrc.py
new file mode 100644
index 00000000000..1db37019c16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="sankey.node", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_label.py b/packages/python/plotly/plotly/validators/sankey/node/_label.py
new file mode 100644
index 00000000000..e06618179ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_label.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="label", parent_name="sankey.node", **kwargs):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_labelsrc.py b/packages/python/plotly/plotly/validators/sankey/node/_labelsrc.py
new file mode 100644
index 00000000000..146aebc5ddb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_labelsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="labelsrc", parent_name="sankey.node", **kwargs):
+        super(LabelsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_line.py b/packages/python/plotly/plotly/validators/sankey/node/_line.py
new file mode 100644
index 00000000000..08299d10f4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_line.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="sankey.node", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the `line` around each
+                `node`.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the `line` around
+                each `node`.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_pad.py b/packages/python/plotly/plotly/validators/sankey/node/_pad.py
new file mode 100644
index 00000000000..3f81b401bc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_pad.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pad", parent_name="sankey.node", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_thickness.py b/packages/python/plotly/plotly/validators/sankey/node/_thickness.py
new file mode 100644
index 00000000000..31f8b9be558
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_thickness.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="thickness", parent_name="sankey.node", **kwargs):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_x.py b/packages/python/plotly/plotly/validators/sankey/node/_x.py
new file mode 100644
index 00000000000..11e796ae004
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="sankey.node", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_xsrc.py b/packages/python/plotly/plotly/validators/sankey/node/_xsrc.py
new file mode 100644
index 00000000000..f5edd95e3bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="sankey.node", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_y.py b/packages/python/plotly/plotly/validators/sankey/node/_y.py
new file mode 100644
index 00000000000..05b1f8b3795
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="sankey.node", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/_ysrc.py b/packages/python/plotly/plotly/validators/sankey/node/_ysrc.py
new file mode 100644
index 00000000000..c5951a024da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="sankey.node", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/__init__.py
index 97dbaf78fea..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/__init__.py
@@ -1,188 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="sankey.node.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="sankey.node.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="sankey.node.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_align.py
new file mode 100644
index 00000000000..57fbb1df126
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..2612336f57b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..344a2dbc7c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..8c282b2431c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..04a737c7037
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..39073b69a7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="sankey.node.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_font.py
new file mode 100644
index 00000000000..054f74111ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..39a90e9e25c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="sankey.node.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..a2afd8cf2a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="sankey.node.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/__init__.py
index 8326336c023..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/__init__.py
@@ -1,106 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sankey.node.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="sankey.node.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="sankey.node.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="sankey.node.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="sankey.node.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sankey.node.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..080a491f2db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sankey.node.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..25f5fadafee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="sankey.node.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..e51dacead60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="sankey.node.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..79ab1f6c0ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="sankey.node.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..52694a83120
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="sankey.node.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..71761426aca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sankey.node.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/line/__init__.py b/packages/python/plotly/plotly/validators/sankey/node/line/__init__.py
index ce800d92688..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/sankey/node/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/node/line/__init__.py
@@ -1,61 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="sankey.node.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="sankey.node.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sankey.node.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="sankey.node.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/line/_color.py b/packages/python/plotly/plotly/validators/sankey/node/line/_color.py
new file mode 100644
index 00000000000..1b8251bfa24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="sankey.node.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/line/_colorsrc.py b/packages/python/plotly/plotly/validators/sankey/node/line/_colorsrc.py
new file mode 100644
index 00000000000..a87aa186d14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sankey.node.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/line/_width.py b/packages/python/plotly/plotly/validators/sankey/node/line/_width.py
new file mode 100644
index 00000000000..76aa88ecbf1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="sankey.node.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/node/line/_widthsrc.py b/packages/python/plotly/plotly/validators/sankey/node/line/_widthsrc.py
new file mode 100644
index 00000000000..d255c1be6ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/node/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="sankey.node.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/stream/__init__.py b/packages/python/plotly/plotly/validators/sankey/stream/__init__.py
index a0ec7ca36ab..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/sankey/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="sankey.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="sankey.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/sankey/stream/_maxpoints.py
new file mode 100644
index 00000000000..905e63ed848
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="sankey.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/stream/_token.py b/packages/python/plotly/plotly/validators/sankey/stream/_token.py
new file mode 100644
index 00000000000..7b5309087e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="sankey.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/textfont/__init__.py b/packages/python/plotly/plotly/validators/sankey/textfont/__init__.py
index 7a16a4ec501..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/sankey/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/sankey/textfont/__init__.py
@@ -1,43 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="sankey.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="sankey.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="sankey.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/sankey/textfont/_color.py b/packages/python/plotly/plotly/validators/sankey/textfont/_color.py
new file mode 100644
index 00000000000..4eed14bda7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/textfont/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="sankey.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/textfont/_family.py b/packages/python/plotly/plotly/validators/sankey/textfont/_family.py
new file mode 100644
index 00000000000..f3da5865672
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/textfont/_family.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="sankey.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sankey/textfont/_size.py b/packages/python/plotly/plotly/validators/sankey/textfont/_size.py
new file mode 100644
index 00000000000..d4251acb63d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sankey/textfont/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="sankey.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/__init__.py b/packages/python/plotly/plotly/validators/scatter/__init__.py
index 10d6ac079a1..5a5f980f0df 100644
--- a/packages/python/plotly/plotly/validators/scatter/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/__init__.py
@@ -1,1342 +1,134 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="scatter", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="scatter", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="scatter", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="scatter", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="scatter", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="scatter", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="scatter", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="scatter", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="scatter", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="scatter", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatter", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="scatter", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatter.unselected
-                .Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scatter.unselected
-                .Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scatter", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scatter", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="tsrc", parent_name="scatter", **kwargs):
-        super(TsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="texttemplatesrc", parent_name="scatter", **kwargs):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="scatter", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scatter", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textpositionsrc", parent_name="scatter", **kwargs):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="scatter", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scatter", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scatter", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="t", parent_name="scatter", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scatter", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StackgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="stackgroup", parent_name="scatter", **kwargs):
-        super(StackgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StackgapsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="stackgaps", parent_name="scatter", **kwargs):
-        super(StackgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["infer zero", "interpolate"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scatter", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="scatter", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scatter", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatter.selected.M
-                arker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scatter.selected.T
-                extfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="rsrc", parent_name="scatter", **kwargs):
-        super(RsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="r", parent_name="scatter", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="scatter", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatter", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scatter", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scatter", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scatter", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scatter", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scatter", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scatter.marker.Col
-                orBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            gradient
-                :class:`plotly.graph_objects.scatter.marker.Gra
-                dient` instance or dict with compatible
-                properties
-            line
-                :class:`plotly.graph_objects.scatter.marker.Lin
-                e` instance or dict with compatible properties
-            maxdisplayed
-                Sets a maximum number of points to be drawn on
-                the graph. 0 corresponds to no limit.
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatter", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            shape
-                Determines the line shape. With "spline" the
-                lines are drawn using spline interpolation. The
-                other available values correspond to step-wise
-                line shapes.
-            simplify
-                Simplifies lines by removing nearly-collinear
-                points. When transitioning lines, it may be
-                desirable to disable this so that the number of
-                points along the resulting SVG path is
-                unaffected.
-            smoothing
-                Has an effect only if `shape` is set to
-                "spline" Sets the amount of smoothing. 0
-                corresponds to no smoothing (equivalent to a
-                "linear" shape).
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="scatter", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scatter", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scatter", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="scatter", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scatter", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="scatter", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="scatter", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="scatter", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            flags=kwargs.pop("flags", ["points", "fills"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scatter", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="scatter", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scatter", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GroupnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="groupnorm", parent_name="scatter", **kwargs):
-        super(GroupnormValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["", "fraction", "percent"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scatter", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scatter", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "none",
-                    "tozeroy",
-                    "tozerox",
-                    "tonexty",
-                    "tonextx",
-                    "toself",
-                    "tonext",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorYValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_y", parent_name="scatter", **kwargs):
-        super(ErrorYValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorXValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_x", parent_name="scatter", **kwargs):
-        super(ErrorXValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            copy_ystyle
-
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="scatter", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="scatter", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="scatter", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scatter", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="scatter", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cliponaxis", parent_name="scatter", **kwargs):
-        super(CliponaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tsrc import TsrcValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._t import TValidator
+    from ._stream import StreamValidator
+    from ._stackgroup import StackgroupValidator
+    from ._stackgaps import StackgapsValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._rsrc import RsrcValidator
+    from ._r import RValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._groupnorm import GroupnormValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._error_y import Error_YValidator
+    from ._error_x import Error_XValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._cliponaxis import CliponaxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tsrc.TsrcValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._t.TValidator",
+            "._stream.StreamValidator",
+            "._stackgroup.StackgroupValidator",
+            "._stackgaps.StackgapsValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._rsrc.RsrcValidator",
+            "._r.RValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._groupnorm.GroupnormValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._error_y.Error_YValidator",
+            "._error_x.Error_XValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._cliponaxis.CliponaxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/_cliponaxis.py b/packages/python/plotly/plotly/validators/scatter/_cliponaxis.py
new file mode 100644
index 00000000000..7c7b7438cd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_cliponaxis.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cliponaxis", parent_name="scatter", **kwargs):
+        super(CliponaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_connectgaps.py b/packages/python/plotly/plotly/validators/scatter/_connectgaps.py
new file mode 100644
index 00000000000..45454b8f98a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="scatter", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_customdata.py b/packages/python/plotly/plotly/validators/scatter/_customdata.py
new file mode 100644
index 00000000000..3a884792f92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scatter", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_customdatasrc.py b/packages/python/plotly/plotly/validators/scatter/_customdatasrc.py
new file mode 100644
index 00000000000..79b2b9399d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="scatter", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_dx.py b/packages/python/plotly/plotly/validators/scatter/_dx.py
new file mode 100644
index 00000000000..3f75a242845
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_dx.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="scatter", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_dy.py b/packages/python/plotly/plotly/validators/scatter/_dy.py
new file mode 100644
index 00000000000..648a588f148
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_dy.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="scatter", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_error_x.py b/packages/python/plotly/plotly/validators/scatter/_error_x.py
new file mode 100644
index 00000000000..d9628f78223
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_error_x.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_x", parent_name="scatter", **kwargs):
+        super(Error_XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            copy_ystyle
+
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_error_y.py b/packages/python/plotly/plotly/validators/scatter/_error_y.py
new file mode 100644
index 00000000000..5e9e0928446
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_error_y.py
@@ -0,0 +1,71 @@
+import _plotly_utils.basevalidators
+
+
+class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_y", parent_name="scatter", **kwargs):
+        super(Error_YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_fill.py b/packages/python/plotly/plotly/validators/scatter/_fill.py
new file mode 100644
index 00000000000..670b7af3078
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_fill.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scatter", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "none",
+                    "tozeroy",
+                    "tozerox",
+                    "tonexty",
+                    "tonextx",
+                    "toself",
+                    "tonext",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_fillcolor.py b/packages/python/plotly/plotly/validators/scatter/_fillcolor.py
new file mode 100644
index 00000000000..eb28d5bbd83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_fillcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scatter", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_groupnorm.py b/packages/python/plotly/plotly/validators/scatter/_groupnorm.py
new file mode 100644
index 00000000000..cbc1e3ab66b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_groupnorm.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GroupnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="groupnorm", parent_name="scatter", **kwargs):
+        super(GroupnormValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["", "fraction", "percent"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hoverinfo.py b/packages/python/plotly/plotly/validators/scatter/_hoverinfo.py
new file mode 100644
index 00000000000..8c0f39771c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scatter", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scatter/_hoverinfosrc.py
new file mode 100644
index 00000000000..cdea5cf305b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="scatter", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hoverlabel.py b/packages/python/plotly/plotly/validators/scatter/_hoverlabel.py
new file mode 100644
index 00000000000..f08b88cf0d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scatter", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hoveron.py b/packages/python/plotly/plotly/validators/scatter/_hoveron.py
new file mode 100644
index 00000000000..a7726f58c1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hoveron.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="scatter", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            flags=kwargs.pop("flags", ["points", "fills"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hovertemplate.py b/packages/python/plotly/plotly/validators/scatter/_hovertemplate.py
new file mode 100644
index 00000000000..379b860d315
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="scatter", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scatter/_hovertemplatesrc.py
new file mode 100644
index 00000000000..a4fc12328b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="scatter", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hovertext.py b/packages/python/plotly/plotly/validators/scatter/_hovertext.py
new file mode 100644
index 00000000000..0dae2cfa7bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scatter", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scatter/_hovertextsrc.py
new file mode 100644
index 00000000000..7a22f58d408
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="scatter", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_ids.py b/packages/python/plotly/plotly/validators/scatter/_ids.py
new file mode 100644
index 00000000000..634fe38ccbb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_ids.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scatter", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_idssrc.py b/packages/python/plotly/plotly/validators/scatter/_idssrc.py
new file mode 100644
index 00000000000..ce968cdf660
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scatter", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_legendgroup.py b/packages/python/plotly/plotly/validators/scatter/_legendgroup.py
new file mode 100644
index 00000000000..6bf4597539f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="scatter", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_line.py b/packages/python/plotly/plotly/validators/scatter/_line.py
new file mode 100644
index 00000000000..b3c197f0fc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_line.py
@@ -0,0 +1,41 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatter", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            shape
+                Determines the line shape. With "spline" the
+                lines are drawn using spline interpolation. The
+                other available values correspond to step-wise
+                line shapes.
+            simplify
+                Simplifies lines by removing nearly-collinear
+                points. When transitioning lines, it may be
+                desirable to disable this so that the number of
+                points along the resulting SVG path is
+                unaffected.
+            smoothing
+                Has an effect only if `shape` is set to
+                "spline" Sets the amount of smoothing. 0
+                corresponds to no smoothing (equivalent to a
+                "linear" shape).
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_marker.py b/packages/python/plotly/plotly/validators/scatter/_marker.py
new file mode 100644
index 00000000000..95b6567358b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_marker.py
@@ -0,0 +1,146 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scatter", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scatter.marker.Col
+                orBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            gradient
+                :class:`plotly.graph_objects.scatter.marker.Gra
+                dient` instance or dict with compatible
+                properties
+            line
+                :class:`plotly.graph_objects.scatter.marker.Lin
+                e` instance or dict with compatible properties
+            maxdisplayed
+                Sets a maximum number of points to be drawn on
+                the graph. 0 corresponds to no limit.
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_meta.py b/packages/python/plotly/plotly/validators/scatter/_meta.py
new file mode 100644
index 00000000000..4ad5d488173
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scatter", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_metasrc.py b/packages/python/plotly/plotly/validators/scatter/_metasrc.py
new file mode 100644
index 00000000000..42343484908
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scatter", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_mode.py b/packages/python/plotly/plotly/validators/scatter/_mode.py
new file mode 100644
index 00000000000..114fea53fd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scatter", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_name.py b/packages/python/plotly/plotly/validators/scatter/_name.py
new file mode 100644
index 00000000000..6c838a4a1d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scatter", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_opacity.py b/packages/python/plotly/plotly/validators/scatter/_opacity.py
new file mode 100644
index 00000000000..d7fed888f88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatter", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_orientation.py b/packages/python/plotly/plotly/validators/scatter/_orientation.py
new file mode 100644
index 00000000000..91f4265f011
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="scatter", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_r.py b/packages/python/plotly/plotly/validators/scatter/_r.py
new file mode 100644
index 00000000000..940c065737f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="r", parent_name="scatter", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_rsrc.py b/packages/python/plotly/plotly/validators/scatter/_rsrc.py
new file mode 100644
index 00000000000..92a3e6c7f85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_rsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="rsrc", parent_name="scatter", **kwargs):
+        super(RsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_selected.py b/packages/python/plotly/plotly/validators/scatter/_selected.py
new file mode 100644
index 00000000000..168d4ea59e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scatter", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatter.selected.M
+                arker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scatter.selected.T
+                extfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_selectedpoints.py b/packages/python/plotly/plotly/validators/scatter/_selectedpoints.py
new file mode 100644
index 00000000000..b45155ccde8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="scatter", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_showlegend.py b/packages/python/plotly/plotly/validators/scatter/_showlegend.py
new file mode 100644
index 00000000000..08b112d75e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scatter", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_stackgaps.py b/packages/python/plotly/plotly/validators/scatter/_stackgaps.py
new file mode 100644
index 00000000000..64d9bbf484f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_stackgaps.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class StackgapsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="stackgaps", parent_name="scatter", **kwargs):
+        super(StackgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["infer zero", "interpolate"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_stackgroup.py b/packages/python/plotly/plotly/validators/scatter/_stackgroup.py
new file mode 100644
index 00000000000..a6b44dda75e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_stackgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StackgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="stackgroup", parent_name="scatter", **kwargs):
+        super(StackgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_stream.py b/packages/python/plotly/plotly/validators/scatter/_stream.py
new file mode 100644
index 00000000000..ffc473903e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scatter", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_t.py b/packages/python/plotly/plotly/validators/scatter/_t.py
new file mode 100644
index 00000000000..3e52ae8b06d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_t.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="t", parent_name="scatter", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_text.py b/packages/python/plotly/plotly/validators/scatter/_text.py
new file mode 100644
index 00000000000..3b0692448dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scatter", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_textfont.py b/packages/python/plotly/plotly/validators/scatter/_textfont.py
new file mode 100644
index 00000000000..1798fb8cf4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scatter", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_textposition.py b/packages/python/plotly/plotly/validators/scatter/_textposition.py
new file mode 100644
index 00000000000..c601f8eea21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_textposition.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="scatter", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scatter/_textpositionsrc.py
new file mode 100644
index 00000000000..3ee857a059f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_textpositionsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textpositionsrc", parent_name="scatter", **kwargs):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_textsrc.py b/packages/python/plotly/plotly/validators/scatter/_textsrc.py
new file mode 100644
index 00000000000..4fed554f769
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scatter", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_texttemplate.py b/packages/python/plotly/plotly/validators/scatter/_texttemplate.py
new file mode 100644
index 00000000000..25855374e2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="scatter", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scatter/_texttemplatesrc.py
new file mode 100644
index 00000000000..ec2e399c435
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_texttemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="texttemplatesrc", parent_name="scatter", **kwargs):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_tsrc.py b/packages/python/plotly/plotly/validators/scatter/_tsrc.py
new file mode 100644
index 00000000000..1665c47537d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_tsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="tsrc", parent_name="scatter", **kwargs):
+        super(TsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_uid.py b/packages/python/plotly/plotly/validators/scatter/_uid.py
new file mode 100644
index 00000000000..7be3eb0a9db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_uid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scatter", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_uirevision.py b/packages/python/plotly/plotly/validators/scatter/_uirevision.py
new file mode 100644
index 00000000000..d60f5635a14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scatter", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_unselected.py b/packages/python/plotly/plotly/validators/scatter/_unselected.py
new file mode 100644
index 00000000000..daaeb8e9359
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="scatter", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatter.unselected
+                .Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scatter.unselected
+                .Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_visible.py b/packages/python/plotly/plotly/validators/scatter/_visible.py
new file mode 100644
index 00000000000..7ab152e286a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatter", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_x.py b/packages/python/plotly/plotly/validators/scatter/_x.py
new file mode 100644
index 00000000000..3a61becdb9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_x.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="scatter", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_x0.py b/packages/python/plotly/plotly/validators/scatter/_x0.py
new file mode 100644
index 00000000000..255f747e767
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_x0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="scatter", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_xaxis.py b/packages/python/plotly/plotly/validators/scatter/_xaxis.py
new file mode 100644
index 00000000000..5871683fd5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="scatter", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_xcalendar.py b/packages/python/plotly/plotly/validators/scatter/_xcalendar.py
new file mode 100644
index 00000000000..6c1ef922717
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="scatter", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_xsrc.py b/packages/python/plotly/plotly/validators/scatter/_xsrc.py
new file mode 100644
index 00000000000..2f44ac19598
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="scatter", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_y.py b/packages/python/plotly/plotly/validators/scatter/_y.py
new file mode 100644
index 00000000000..7e466773aaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_y.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="scatter", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_y0.py b/packages/python/plotly/plotly/validators/scatter/_y0.py
new file mode 100644
index 00000000000..d6a6e0d26af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_y0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="scatter", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_yaxis.py b/packages/python/plotly/plotly/validators/scatter/_yaxis.py
new file mode 100644
index 00000000000..9e182ee5820
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="scatter", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_ycalendar.py b/packages/python/plotly/plotly/validators/scatter/_ycalendar.py
new file mode 100644
index 00000000000..8642739a94e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="scatter", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/_ysrc.py b/packages/python/plotly/plotly/validators/scatter/_ysrc.py
new file mode 100644
index 00000000000..46602fe6d03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="scatter", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/__init__.py b/packages/python/plotly/plotly/validators/scatter/error_x/__init__.py
index 3826fd348fa..e4688233f0f 100644
--- a/packages/python/plotly/plotly/validators/scatter/error_x/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/__init__.py
@@ -1,229 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter.error_x", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatter.error_x", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scatter.error_x", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scatter.error_x", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scatter.error_x", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scatter.error_x", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="traceref", parent_name="scatter.error_x", **kwargs):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter.error_x", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scatter.error_x", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CopyYstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="copy_ystyle", parent_name="scatter.error_x", **kwargs
-    ):
-        super(CopyYstyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter.error_x", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="arraysrc", parent_name="scatter.error_x", **kwargs):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scatter.error_x", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scatter.error_x", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scatter.error_x", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._copy_ystyle import Copy_YstyleValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._copy_ystyle.Copy_YstyleValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_array.py b/packages/python/plotly/plotly/validators/scatter/error_x/_array.py
new file mode 100644
index 00000000000..81471c64856
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scatter.error_x", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_arrayminus.py b/packages/python/plotly/plotly/validators/scatter/error_x/_arrayminus.py
new file mode 100644
index 00000000000..a19eaaa95be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scatter.error_x", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scatter/error_x/_arrayminussrc.py
new file mode 100644
index 00000000000..5ad1ff4cdc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scatter.error_x", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_arraysrc.py b/packages/python/plotly/plotly/validators/scatter/error_x/_arraysrc.py
new file mode 100644
index 00000000000..3f27ace9791
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_arraysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="arraysrc", parent_name="scatter.error_x", **kwargs):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_color.py b/packages/python/plotly/plotly/validators/scatter/error_x/_color.py
new file mode 100644
index 00000000000..54b1879db1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter.error_x", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_copy_ystyle.py b/packages/python/plotly/plotly/validators/scatter/error_x/_copy_ystyle.py
new file mode 100644
index 00000000000..2618543cd4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_copy_ystyle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class Copy_YstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="copy_ystyle", parent_name="scatter.error_x", **kwargs
+    ):
+        super(Copy_YstyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_symmetric.py b/packages/python/plotly/plotly/validators/scatter/error_x/_symmetric.py
new file mode 100644
index 00000000000..487b029f542
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scatter.error_x", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_thickness.py b/packages/python/plotly/plotly/validators/scatter/error_x/_thickness.py
new file mode 100644
index 00000000000..e7749d30a11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter.error_x", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_traceref.py b/packages/python/plotly/plotly/validators/scatter/error_x/_traceref.py
new file mode 100644
index 00000000000..45a49db35bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_traceref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="traceref", parent_name="scatter.error_x", **kwargs):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_tracerefminus.py b/packages/python/plotly/plotly/validators/scatter/error_x/_tracerefminus.py
new file mode 100644
index 00000000000..088bec3ebf7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scatter.error_x", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_type.py b/packages/python/plotly/plotly/validators/scatter/error_x/_type.py
new file mode 100644
index 00000000000..f303331c346
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scatter.error_x", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_value.py b/packages/python/plotly/plotly/validators/scatter/error_x/_value.py
new file mode 100644
index 00000000000..0817ab7f17f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scatter.error_x", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_valueminus.py b/packages/python/plotly/plotly/validators/scatter/error_x/_valueminus.py
new file mode 100644
index 00000000000..d492338c9c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scatter.error_x", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_visible.py b/packages/python/plotly/plotly/validators/scatter/error_x/_visible.py
new file mode 100644
index 00000000000..2a332f4107c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatter.error_x", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_x/_width.py b/packages/python/plotly/plotly/validators/scatter/error_x/_width.py
new file mode 100644
index 00000000000..bdb61fc7ec1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_x/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter.error_x", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/__init__.py b/packages/python/plotly/plotly/validators/scatter/error_y/__init__.py
index 96a460cba96..0a508f0c655 100644
--- a/packages/python/plotly/plotly/validators/scatter/error_y/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/__init__.py
@@ -1,213 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter.error_y", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatter.error_y", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scatter.error_y", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scatter.error_y", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scatter.error_y", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scatter.error_y", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="traceref", parent_name="scatter.error_y", **kwargs):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter.error_y", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scatter.error_y", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter.error_y", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="arraysrc", parent_name="scatter.error_y", **kwargs):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scatter.error_y", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scatter.error_y", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scatter.error_y", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_array.py b/packages/python/plotly/plotly/validators/scatter/error_y/_array.py
new file mode 100644
index 00000000000..675e8a0316d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scatter.error_y", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_arrayminus.py b/packages/python/plotly/plotly/validators/scatter/error_y/_arrayminus.py
new file mode 100644
index 00000000000..d9059f45079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scatter.error_y", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scatter/error_y/_arrayminussrc.py
new file mode 100644
index 00000000000..86235b83253
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scatter.error_y", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_arraysrc.py b/packages/python/plotly/plotly/validators/scatter/error_y/_arraysrc.py
new file mode 100644
index 00000000000..f763e60ec79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_arraysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="arraysrc", parent_name="scatter.error_y", **kwargs):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_color.py b/packages/python/plotly/plotly/validators/scatter/error_y/_color.py
new file mode 100644
index 00000000000..73460c45f80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter.error_y", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_symmetric.py b/packages/python/plotly/plotly/validators/scatter/error_y/_symmetric.py
new file mode 100644
index 00000000000..3e01846694f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scatter.error_y", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_thickness.py b/packages/python/plotly/plotly/validators/scatter/error_y/_thickness.py
new file mode 100644
index 00000000000..d5a0a27f88a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter.error_y", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_traceref.py b/packages/python/plotly/plotly/validators/scatter/error_y/_traceref.py
new file mode 100644
index 00000000000..c69daba7d26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_traceref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="traceref", parent_name="scatter.error_y", **kwargs):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_tracerefminus.py b/packages/python/plotly/plotly/validators/scatter/error_y/_tracerefminus.py
new file mode 100644
index 00000000000..b6e60e21d30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scatter.error_y", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_type.py b/packages/python/plotly/plotly/validators/scatter/error_y/_type.py
new file mode 100644
index 00000000000..2fd5221a440
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scatter.error_y", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_value.py b/packages/python/plotly/plotly/validators/scatter/error_y/_value.py
new file mode 100644
index 00000000000..1a9c7298cef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scatter.error_y", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_valueminus.py b/packages/python/plotly/plotly/validators/scatter/error_y/_valueminus.py
new file mode 100644
index 00000000000..09635f60f1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scatter.error_y", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_visible.py b/packages/python/plotly/plotly/validators/scatter/error_y/_visible.py
new file mode 100644
index 00000000000..71a4edc85e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatter.error_y", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/error_y/_width.py b/packages/python/plotly/plotly/validators/scatter/error_y/_width.py
new file mode 100644
index 00000000000..7cdb74a2a35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/error_y/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter.error_y", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/__init__.py
index 02b00cd292b..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scatter/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="scatter.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scatter.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="scatter.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_align.py
new file mode 100644
index 00000000000..265a7d0a42b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="scatter.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..9812dc8be1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..5fbebc599ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..6fbff4551cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..d4deaa4330c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..1676885f2a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_font.py
new file mode 100644
index 00000000000..b4ad01a9cc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="scatter.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..8e545752b66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..782b328d01e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="scatter.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/__init__.py
index fa1cc70aa57..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatter.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatter.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scatter.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatter.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..6acbef69540
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..b7c5c0b292a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..2133dad96cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatter.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..9ca8f2f64a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scatter.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..f817fbe05f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatter.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..f5972d74af1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatter.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/__init__.py b/packages/python/plotly/plotly/validators/scatter/line/__init__.py
index c2ae534c909..45fc1fec96f 100644
--- a/packages/python/plotly/plotly/validators/scatter/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/line/__init__.py
@@ -1,91 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="smoothing", parent_name="scatter.line", **kwargs):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SimplifyValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="simplify", parent_name="scatter.line", **kwargs):
-        super(SimplifyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="shape", parent_name="scatter.line", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["linear", "spline", "hv", "vh", "hvh", "vhv"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="scatter.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._simplify import SimplifyValidator
+    from ._shape import ShapeValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._simplify.SimplifyValidator",
+            "._shape.ShapeValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/_color.py b/packages/python/plotly/plotly/validators/scatter/line/_color.py
new file mode 100644
index 00000000000..5a9a5c4afdd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/_dash.py b/packages/python/plotly/plotly/validators/scatter/line/_dash.py
new file mode 100644
index 00000000000..7aebef5304a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="scatter.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/_shape.py b/packages/python/plotly/plotly/validators/scatter/line/_shape.py
new file mode 100644
index 00000000000..13f0fa2d093
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/line/_shape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="shape", parent_name="scatter.line", **kwargs):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["linear", "spline", "hv", "vh", "hvh", "vhv"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/_simplify.py b/packages/python/plotly/plotly/validators/scatter/line/_simplify.py
new file mode 100644
index 00000000000..a2327d637c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/line/_simplify.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SimplifyValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="simplify", parent_name="scatter.line", **kwargs):
+        super(SimplifyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/_smoothing.py b/packages/python/plotly/plotly/validators/scatter/line/_smoothing.py
new file mode 100644
index 00000000000..d0d6a2c47da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/line/_smoothing.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="smoothing", parent_name="scatter.line", **kwargs):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/line/_width.py b/packages/python/plotly/plotly/validators/scatter/line/_width.py
new file mode 100644
index 00000000000..0ed205b7112
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/__init__.py
index b06aa92cec6..bcd2242a57a 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/__init__.py
@@ -1,980 +1,60 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="symbolsrc", parent_name="scatter.marker", **kwargs):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="scatter.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="scatter.marker", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizeref", parent_name="scatter.marker", **kwargs):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="sizemode", parent_name="scatter.marker", **kwargs):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizemin", parent_name="scatter.marker", **kwargs):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scatter.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="scatter.marker", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatter.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scatter.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatter.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxdisplayed", parent_name="scatter.marker", **kwargs
-    ):
-        super(MaxdisplayedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatter.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="gradient", parent_name="scatter.marker", **kwargs):
-        super(GradientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Gradient"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the final color of the gradient fill: the
-                center color for radial, the right for
-                horizontal, or the bottom for vertical.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            type
-                Sets the type of gradient used to fill the
-                markers
-            typesrc
-                Sets the source reference on Chart Studio Cloud
-                for  type .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="scatter.marker", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatter.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="scatter.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                .marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scatter.marker.colorbar.tickformatstopdefault
-                s), sets the default property values to use for
-                elements of
-                scatter.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scatter.marker.col
-                orbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                scatter.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scatter.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="scatter.marker", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "scatter.marker.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scatter.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scatter.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scatter.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="scatter.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scatter.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._maxdisplayed import MaxdisplayedValidator
+    from ._line import LineValidator
+    from ._gradient import GradientValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._maxdisplayed.MaxdisplayedValidator",
+            "._line.LineValidator",
+            "._gradient.GradientValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatter/marker/_autocolorscale.py
new file mode 100644
index 00000000000..5f6a5e62af2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scatter.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_cauto.py b/packages/python/plotly/plotly/validators/scatter/marker/_cauto.py
new file mode 100644
index 00000000000..1e6e8ff0f63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="scatter.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_cmax.py b/packages/python/plotly/plotly/validators/scatter/marker/_cmax.py
new file mode 100644
index 00000000000..6b742f759c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scatter.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_cmid.py b/packages/python/plotly/plotly/validators/scatter/marker/_cmid.py
new file mode 100644
index 00000000000..0f255afecda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scatter.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_cmin.py b/packages/python/plotly/plotly/validators/scatter/marker/_cmin.py
new file mode 100644
index 00000000000..ef68c8f93a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scatter.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_color.py b/packages/python/plotly/plotly/validators/scatter/marker/_color.py
new file mode 100644
index 00000000000..8484a5b3afa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "scatter.marker.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scatter/marker/_coloraxis.py
new file mode 100644
index 00000000000..8814940d608
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="scatter.marker", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scatter/marker/_colorbar.py
new file mode 100644
index 00000000000..b6d48ece118
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="scatter.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                .marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scatter.marker.colorbar.tickformatstopdefault
+                s), sets the default property values to use for
+                elements of
+                scatter.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scatter.marker.col
+                orbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                scatter.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scatter.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scatter/marker/_colorscale.py
new file mode 100644
index 00000000000..2fc6c913e1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatter.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter/marker/_colorsrc.py
new file mode 100644
index 00000000000..ad4b1b1736d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="scatter.marker", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_gradient.py b/packages/python/plotly/plotly/validators/scatter/marker/_gradient.py
new file mode 100644
index 00000000000..8c5d7582d83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_gradient.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="gradient", parent_name="scatter.marker", **kwargs):
+        super(GradientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Gradient"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the final color of the gradient fill: the
+                center color for radial, the right for
+                horizontal, or the bottom for vertical.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            type
+                Sets the type of gradient used to fill the
+                markers
+            typesrc
+                Sets the source reference on Chart Studio Cloud
+                for  type .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_line.py b/packages/python/plotly/plotly/validators/scatter/marker/_line.py
new file mode 100644
index 00000000000..15591922d98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatter.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_maxdisplayed.py b/packages/python/plotly/plotly/validators/scatter/marker/_maxdisplayed.py
new file mode 100644
index 00000000000..53fe9704bfe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_maxdisplayed.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxdisplayed", parent_name="scatter.marker", **kwargs
+    ):
+        super(MaxdisplayedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatter/marker/_opacity.py
new file mode 100644
index 00000000000..f60b0dcdd42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatter.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scatter/marker/_opacitysrc.py
new file mode 100644
index 00000000000..b37b0b0a2d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scatter.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scatter/marker/_reversescale.py
new file mode 100644
index 00000000000..76d2ea4046d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatter.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_showscale.py b/packages/python/plotly/plotly/validators/scatter/marker/_showscale.py
new file mode 100644
index 00000000000..aa388a4bde0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="scatter.marker", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_size.py b/packages/python/plotly/plotly/validators/scatter/marker/_size.py
new file mode 100644
index 00000000000..60713a89cd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scatter.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scatter/marker/_sizemin.py
new file mode 100644
index 00000000000..405fe6b5e54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_sizemin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizemin", parent_name="scatter.marker", **kwargs):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scatter/marker/_sizemode.py
new file mode 100644
index 00000000000..35fdc173fb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_sizemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="sizemode", parent_name="scatter.marker", **kwargs):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scatter/marker/_sizeref.py
new file mode 100644
index 00000000000..d43d8539e88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_sizeref.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizeref", parent_name="scatter.marker", **kwargs):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scatter/marker/_sizesrc.py
new file mode 100644
index 00000000000..095bacc18bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="scatter.marker", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_symbol.py b/packages/python/plotly/plotly/validators/scatter/marker/_symbol.py
new file mode 100644
index 00000000000..a6db8a3f773
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="scatter.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scatter/marker/_symbolsrc.py
new file mode 100644
index 00000000000..d65f086234f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/_symbolsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="symbolsrc", parent_name="scatter.marker", **kwargs):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/__init__.py
index 515073565ce..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/__init__.py
@@ -1,798 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scatter.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatter.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..41f4b8530f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..5bb94320b1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..7bfc1d7482b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..31c2904ad15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..d372fe4bf87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_len.py
new file mode 100644
index 00000000000..c3ab6a4b50b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..7ef157f43a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..d109283e5ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..918e2fdb6de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..8284cf70a68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..020cc78d33b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..aa0730efdf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..1ccf240df0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..34478677a5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..05faf22b1a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..ea4b308bf63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..5d534bfebff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..4a1953a1232
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..fb40508438a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..a4d8baa4d50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..5adb3010cdb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..35a22a73609
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..cbbb1a672ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..d5f982e968d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scatter.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..d6d81c401d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..9d9082042cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..512564c019e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..0980eb4f94c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..8cd6a6ba1e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..0828c1d3ef1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..6ec5e121c18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..4d4d184cb3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..ea782069a51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..b1a79815e28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_title.py
new file mode 100644
index 00000000000..0a53a8d5759
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_x.py
new file mode 100644
index 00000000000..dd51c9f75ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..61300e85e00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..3441457c430
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_y.py
new file mode 100644
index 00000000000..d72d4dc48f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..0b02a4790b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..4ea7582037c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scatter.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/__init__.py
index 7b1cb5c6752..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatter.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatter.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatter.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..b7c01ebc1ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatter.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..f557628b9d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatter.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..b1551753ce3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatter.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/__init__.py
index a11d0efbcbf..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scatter.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scatter.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scatter.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scatter.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scatter.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..60ce0484815
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scatter.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..db99d063c27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scatter.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..46af8d2d5f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scatter.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..13ec5515f0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scatter.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..fb08c71c02a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scatter.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/__init__.py
index f38d66a3397..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="scatter.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="scatter.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scatter.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..aa8e106e82b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scatter.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..42f2f634c50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="scatter.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..077ecdad11f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="scatter.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/__init__.py
index b64e59421aa..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatter.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatter.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatter.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..231a7a8c36e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatter.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..54db8431977
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatter.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..1f5dbb0011b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatter.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/gradient/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/gradient/__init__.py
index 0abbb748897..5193d7a59a5 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/gradient/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/gradient/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="typesrc", parent_name="scatter.marker.gradient", **kwargs
-    ):
-        super(TypesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="scatter.marker.gradient", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter.marker.gradient", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.marker.gradient", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._typesrc import TypesrcValidator
+    from ._type import TypeValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._typesrc.TypesrcValidator",
+            "._type.TypeValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/gradient/_color.py b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_color.py
new file mode 100644
index 00000000000..4107df82956
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.marker.gradient", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/gradient/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_colorsrc.py
new file mode 100644
index 00000000000..4fa53003764
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter.marker.gradient", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/gradient/_type.py b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_type.py
new file mode 100644
index 00000000000..53ce6e58cfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_type.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="scatter.marker.gradient", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/gradient/_typesrc.py b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_typesrc.py
new file mode 100644
index 00000000000..576efed4198
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/gradient/_typesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="typesrc", parent_name="scatter.marker.gradient", **kwargs
+    ):
+        super(TypesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scatter/marker/line/__init__.py
index 165609fdd55..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scatter/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/__init__.py
@@ -1,200 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatter.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scatter.marker.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scatter.marker.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scatter.marker.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scatter.marker.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..729db2f6aff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_cauto.py
new file mode 100644
index 00000000000..c9593b8034f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_cmax.py
new file mode 100644
index 00000000000..85071a0a3b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scatter.marker.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_cmid.py
new file mode 100644
index 00000000000..af9664048cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scatter.marker.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_cmin.py
new file mode 100644
index 00000000000..76d4ac57d74
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scatter.marker.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_color.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_color.py
new file mode 100644
index 00000000000..ef21bbaf16a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_color.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatter.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..e19a97ec68d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_colorscale.py
new file mode 100644
index 00000000000..761b377c7d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..fe0d884973c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_reversescale.py
new file mode 100644
index 00000000000..4c6ceafadd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_width.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_width.py
new file mode 100644
index 00000000000..dddce8d7c45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_width.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scatter/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..c9f952e8a87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scatter.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/__init__.py b/packages/python/plotly/plotly/validators/scatter/selected/__init__.py
index b311d8e20e2..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatter/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/selected/__init__.py
@@ -1,44 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatter.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scatter.selected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/_marker.py b/packages/python/plotly/plotly/validators/scatter/selected/_marker.py
new file mode 100644
index 00000000000..9f08fea4980
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/selected/_marker.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scatter.selected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/_textfont.py b/packages/python/plotly/plotly/validators/scatter/selected/_textfont.py
new file mode 100644
index 00000000000..da36cae661e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatter.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatter/selected/marker/__init__.py
index d380b28dbc9..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatter/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/selected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatter.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatter.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scatter/selected/marker/_color.py
new file mode 100644
index 00000000000..6411ff59b52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatter/selected/marker/_opacity.py
new file mode 100644
index 00000000000..6b9e74a44c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatter.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scatter/selected/marker/_size.py
new file mode 100644
index 00000000000..46c28f6a859
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatter.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatter/selected/textfont/__init__.py
index d7a15fa0e68..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatter/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/selected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.selected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatter/selected/textfont/_color.py
new file mode 100644
index 00000000000..d7a15fa0e68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/selected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.selected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/stream/__init__.py b/packages/python/plotly/plotly/validators/scatter/stream/__init__.py
index f4498ee0a57..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scatter/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="scatter.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="scatter.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scatter/stream/_maxpoints.py
new file mode 100644
index 00000000000..481d4d13a60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="scatter.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/stream/_token.py b/packages/python/plotly/plotly/validators/scatter/stream/_token.py
new file mode 100644
index 00000000000..e9b00e4b386
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="scatter.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatter/textfont/__init__.py
index bef62ee6e67..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatter/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/__init__.py
@@ -1,92 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="scatter.textfont", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scatter.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scatter.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="scatter.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/_color.py b/packages/python/plotly/plotly/validators/scatter/textfont/_color.py
new file mode 100644
index 00000000000..0dc00e21388
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter/textfont/_colorsrc.py
new file mode 100644
index 00000000000..5b7b57efea4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/_family.py b/packages/python/plotly/plotly/validators/scatter/textfont/_family.py
new file mode 100644
index 00000000000..77f0c61a64d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="scatter.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scatter/textfont/_familysrc.py
new file mode 100644
index 00000000000..0910b3f2c96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scatter.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/_size.py b/packages/python/plotly/plotly/validators/scatter/textfont/_size.py
new file mode 100644
index 00000000000..245caf0931a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scatter.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scatter/textfont/_sizesrc.py
new file mode 100644
index 00000000000..7f54708d73c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/textfont/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="scatter.textfont", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/__init__.py b/packages/python/plotly/plotly/validators/scatter/unselected/__init__.py
index cbf056b44bd..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatter/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatter.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatter.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/_marker.py b/packages/python/plotly/plotly/validators/scatter/unselected/_marker.py
new file mode 100644
index 00000000000..4b060c400ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatter.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scatter/unselected/_textfont.py
new file mode 100644
index 00000000000..90831122e76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatter.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatter/unselected/marker/__init__.py
index db49ab40a86..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatter/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatter.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatter.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scatter/unselected/marker/_color.py
new file mode 100644
index 00000000000..f90a99ffa82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatter/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..5430a2f0659
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatter.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scatter/unselected/marker/_size.py
new file mode 100644
index 00000000000..5a299f45b85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatter.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatter/unselected/textfont/__init__.py
index 6daeae64df5..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatter/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter.unselected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatter/unselected/textfont/_color.py
new file mode 100644
index 00000000000..6daeae64df5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter/unselected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter.unselected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/__init__.py
index 086f8f9e252..f8a2d72a128 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/__init__.py
@@ -1,1268 +1,108 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="scatter3d", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="zcalendar", parent_name="scatter3d", **kwargs):
-        super(ZcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="scatter3d", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="scatter3d", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="scatter3d", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="scatter3d", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="scatter3d", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="scatter3d", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="scatter3d", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatter3d", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scatter3d", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scatter3d", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scatter3d", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="scatter3d", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scatter3d", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scatter3d", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="scatter3d", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scatter3d", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scatter3d", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfacecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="surfacecolor", parent_name="scatter3d", **kwargs):
-        super(SurfacecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfaceaxisValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="surfaceaxis", parent_name="scatter3d", **kwargs):
-        super(SurfaceaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [-1, 0, 1, 2]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scatter3d", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scatter3d", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="scatter3d", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ProjectionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="projection", parent_name="scatter3d", **kwargs):
-        super(ProjectionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Projection"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                :class:`plotly.graph_objects.scatter3d.projecti
-                on.X` instance or dict with compatible
-                properties
-            y
-                :class:`plotly.graph_objects.scatter3d.projecti
-                on.Y` instance or dict with compatible
-                properties
-            z
-                :class:`plotly.graph_objects.scatter3d.projecti
-                on.Z` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatter3d", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scatter3d", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scatter3d", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scatter3d", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scatter3d", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scatter3d", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scatter3d.marker.C
-                olorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.scatter3d.marker.L
-                ine` instance or dict with compatible
-                properties
-            opacity
-                Sets the marker opacity. Note that the marker
-                opacity for scatter3d traces must be a scalar
-                value for performance reasons. To set a
-                blending opacity value (i.e. which is not
-                transparent), set "marker.color" to an rgba
-                color and use its alpha channel.
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatter3d", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `line.colorscale`. Has an effect
-                only if in `line.color`is set to a numerical
-                array. In case `colorscale` is unspecified or
-                `autocolorscale` is true, the default  palette
-                will be chosen according to whether numbers in
-                the `color` array are all positive, all
-                negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `line.color`) or the bounds set in
-                `line.cmin` and `line.cmax`  Has an effect only
-                if in `line.color`is set to a numerical array.
-                Defaults to `false` when `line.cmin` and
-                `line.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `line.color`is set to a
-                numerical array. Value should have the same
-                units as in `line.color` and if set,
-                `line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `line.cmin` and/or `line.cmax` to be
-                equidistant to this point. Has an effect only
-                if in `line.color`is set to a numerical array.
-                Value should have the same units as in
-                `line.color`. Has no effect when `line.cauto`
-                is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `line.color`is set to a
-                numerical array. Value should have the same
-                units as in `line.color` and if set,
-                `line.cmax` must be set as well.
-            color
-                Sets thelinecolor. It accepts either a specific
-                color or an array of numbers that are mapped to
-                the colorscale relative to the max and min
-                values of the array or relative to `line.cmin`
-                and `line.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scatter3d.line.Col
-                orBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `line.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`line.cmin` and `line.cmax`.
-                Alternatively, `colorscale` may be a palette
-                name string of the following list: Greys,YlGnBu
-                ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
-                ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
-                c,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            dash
-                Sets the dash style of the lines.
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `line.color`is set to a
-                numerical array. If true, `line.cmin` will
-                correspond to the last color in the array and
-                `line.cmax` will correspond to the first color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `line.color`is set to a numerical array.
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="scatter3d", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scatter3d", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scatter3d", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="scatter3d", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scatter3d", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scatter3d", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="scatter3d", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scatter3d", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="scatter3d", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scatter3d", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_z", parent_name="scatter3d", **kwargs):
-        super(ErrorZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorZ"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorYValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_y", parent_name="scatter3d", **kwargs):
-        super(ErrorYValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            copy_zstyle
-
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorXValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_x", parent_name="scatter3d", **kwargs):
-        super(ErrorXValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            copy_zstyle
-
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="scatter3d", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scatter3d", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="scatter3d", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zcalendar import ZcalendarValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._surfacecolor import SurfacecolorValidator
+    from ._surfaceaxis import SurfaceaxisValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._projection import ProjectionValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._error_z import Error_ZValidator
+    from ._error_y import Error_YValidator
+    from ._error_x import Error_XValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zcalendar.ZcalendarValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._surfacecolor.SurfacecolorValidator",
+            "._surfaceaxis.SurfaceaxisValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._projection.ProjectionValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._error_z.Error_ZValidator",
+            "._error_y.Error_YValidator",
+            "._error_x.Error_XValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_connectgaps.py b/packages/python/plotly/plotly/validators/scatter3d/_connectgaps.py
new file mode 100644
index 00000000000..e793945d16c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="scatter3d", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_customdata.py b/packages/python/plotly/plotly/validators/scatter3d/_customdata.py
new file mode 100644
index 00000000000..e63a5b64da7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scatter3d", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_customdatasrc.py b/packages/python/plotly/plotly/validators/scatter3d/_customdatasrc.py
new file mode 100644
index 00000000000..8dea51464e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="scatter3d", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_error_x.py b/packages/python/plotly/plotly/validators/scatter3d/_error_x.py
new file mode 100644
index 00000000000..a0dc09ed89c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_error_x.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_x", parent_name="scatter3d", **kwargs):
+        super(Error_XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            copy_zstyle
+
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_error_y.py b/packages/python/plotly/plotly/validators/scatter3d/_error_y.py
new file mode 100644
index 00000000000..86be81243f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_error_y.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_y", parent_name="scatter3d", **kwargs):
+        super(Error_YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            copy_zstyle
+
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_error_z.py b/packages/python/plotly/plotly/validators/scatter3d/_error_z.py
new file mode 100644
index 00000000000..743ee76c300
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_error_z.py
@@ -0,0 +1,71 @@
+import _plotly_utils.basevalidators
+
+
+class Error_ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_z", parent_name="scatter3d", **kwargs):
+        super(Error_ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorZ"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hoverinfo.py b/packages/python/plotly/plotly/validators/scatter3d/_hoverinfo.py
new file mode 100644
index 00000000000..d0594679569
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scatter3d", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scatter3d/_hoverinfosrc.py
new file mode 100644
index 00000000000..092552f833b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="scatter3d", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hoverlabel.py b/packages/python/plotly/plotly/validators/scatter3d/_hoverlabel.py
new file mode 100644
index 00000000000..bd2c4a050c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scatter3d", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hovertemplate.py b/packages/python/plotly/plotly/validators/scatter3d/_hovertemplate.py
new file mode 100644
index 00000000000..2b38adab436
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="scatter3d", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scatter3d/_hovertemplatesrc.py
new file mode 100644
index 00000000000..fec661e6fd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scatter3d", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hovertext.py b/packages/python/plotly/plotly/validators/scatter3d/_hovertext.py
new file mode 100644
index 00000000000..220eef34a55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scatter3d", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scatter3d/_hovertextsrc.py
new file mode 100644
index 00000000000..faa7b392471
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="scatter3d", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_ids.py b/packages/python/plotly/plotly/validators/scatter3d/_ids.py
new file mode 100644
index 00000000000..41e4531f965
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scatter3d", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_idssrc.py b/packages/python/plotly/plotly/validators/scatter3d/_idssrc.py
new file mode 100644
index 00000000000..456ef415c1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scatter3d", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_legendgroup.py b/packages/python/plotly/plotly/validators/scatter3d/_legendgroup.py
new file mode 100644
index 00000000000..75af5f47b01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="scatter3d", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_line.py b/packages/python/plotly/plotly/validators/scatter3d/_line.py
new file mode 100644
index 00000000000..73b13e19326
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_line.py
@@ -0,0 +1,106 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatter3d", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `line.colorscale`. Has an effect
+                only if in `line.color`is set to a numerical
+                array. In case `colorscale` is unspecified or
+                `autocolorscale` is true, the default  palette
+                will be chosen according to whether numbers in
+                the `color` array are all positive, all
+                negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `line.color`) or the bounds set in
+                `line.cmin` and `line.cmax`  Has an effect only
+                if in `line.color`is set to a numerical array.
+                Defaults to `false` when `line.cmin` and
+                `line.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `line.color`is set to a
+                numerical array. Value should have the same
+                units as in `line.color` and if set,
+                `line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `line.cmin` and/or `line.cmax` to be
+                equidistant to this point. Has an effect only
+                if in `line.color`is set to a numerical array.
+                Value should have the same units as in
+                `line.color`. Has no effect when `line.cauto`
+                is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `line.color`is set to a
+                numerical array. Value should have the same
+                units as in `line.color` and if set,
+                `line.cmax` must be set as well.
+            color
+                Sets thelinecolor. It accepts either a specific
+                color or an array of numbers that are mapped to
+                the colorscale relative to the max and min
+                values of the array or relative to `line.cmin`
+                and `line.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scatter3d.line.Col
+                orBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `line.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`line.cmin` and `line.cmax`.
+                Alternatively, `colorscale` may be a palette
+                name string of the following list: Greys,YlGnBu
+                ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R
+                ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri
+                c,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            dash
+                Sets the dash style of the lines.
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `line.color`is set to a
+                numerical array. If true, `line.cmin` will
+                correspond to the last color in the array and
+                `line.cmax` will correspond to the first color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `line.color`is set to a numerical array.
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_marker.py b/packages/python/plotly/plotly/validators/scatter3d/_marker.py
new file mode 100644
index 00000000000..7036b763874
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_marker.py
@@ -0,0 +1,137 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scatter3d", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scatter3d.marker.C
+                olorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.scatter3d.marker.L
+                ine` instance or dict with compatible
+                properties
+            opacity
+                Sets the marker opacity. Note that the marker
+                opacity for scatter3d traces must be a scalar
+                value for performance reasons. To set a
+                blending opacity value (i.e. which is not
+                transparent), set "marker.color" to an rgba
+                color and use its alpha channel.
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_meta.py b/packages/python/plotly/plotly/validators/scatter3d/_meta.py
new file mode 100644
index 00000000000..e7ecacc55c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scatter3d", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_metasrc.py b/packages/python/plotly/plotly/validators/scatter3d/_metasrc.py
new file mode 100644
index 00000000000..8f36c0ba937
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scatter3d", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_mode.py b/packages/python/plotly/plotly/validators/scatter3d/_mode.py
new file mode 100644
index 00000000000..32a2d972e71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scatter3d", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_name.py b/packages/python/plotly/plotly/validators/scatter3d/_name.py
new file mode 100644
index 00000000000..96d540e9225
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scatter3d", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_opacity.py b/packages/python/plotly/plotly/validators/scatter3d/_opacity.py
new file mode 100644
index 00000000000..c46a4bd85bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatter3d", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_projection.py b/packages/python/plotly/plotly/validators/scatter3d/_projection.py
new file mode 100644
index 00000000000..f9f45cbaf65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_projection.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class ProjectionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="projection", parent_name="scatter3d", **kwargs):
+        super(ProjectionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Projection"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                :class:`plotly.graph_objects.scatter3d.projecti
+                on.X` instance or dict with compatible
+                properties
+            y
+                :class:`plotly.graph_objects.scatter3d.projecti
+                on.Y` instance or dict with compatible
+                properties
+            z
+                :class:`plotly.graph_objects.scatter3d.projecti
+                on.Z` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_scene.py b/packages/python/plotly/plotly/validators/scatter3d/_scene.py
new file mode 100644
index 00000000000..bdf2528ec5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="scatter3d", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_showlegend.py b/packages/python/plotly/plotly/validators/scatter3d/_showlegend.py
new file mode 100644
index 00000000000..ee956414f96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scatter3d", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_stream.py b/packages/python/plotly/plotly/validators/scatter3d/_stream.py
new file mode 100644
index 00000000000..9345c09b263
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scatter3d", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_surfaceaxis.py b/packages/python/plotly/plotly/validators/scatter3d/_surfaceaxis.py
new file mode 100644
index 00000000000..c6d03828a70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_surfaceaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SurfaceaxisValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="surfaceaxis", parent_name="scatter3d", **kwargs):
+        super(SurfaceaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [-1, 0, 1, 2]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_surfacecolor.py b/packages/python/plotly/plotly/validators/scatter3d/_surfacecolor.py
new file mode 100644
index 00000000000..4fe62d033ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_surfacecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SurfacecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="surfacecolor", parent_name="scatter3d", **kwargs):
+        super(SurfacecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_text.py b/packages/python/plotly/plotly/validators/scatter3d/_text.py
new file mode 100644
index 00000000000..355f917a363
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scatter3d", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_textfont.py b/packages/python/plotly/plotly/validators/scatter3d/_textfont.py
new file mode 100644
index 00000000000..38b5b17571d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_textfont.py
@@ -0,0 +1,43 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scatter3d", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_textposition.py b/packages/python/plotly/plotly/validators/scatter3d/_textposition.py
new file mode 100644
index 00000000000..bac19626123
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_textposition.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="scatter3d", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scatter3d/_textpositionsrc.py
new file mode 100644
index 00000000000..51d5e137bfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scatter3d", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_textsrc.py b/packages/python/plotly/plotly/validators/scatter3d/_textsrc.py
new file mode 100644
index 00000000000..5c75e603231
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scatter3d", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_texttemplate.py b/packages/python/plotly/plotly/validators/scatter3d/_texttemplate.py
new file mode 100644
index 00000000000..2b732daa4cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="scatter3d", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scatter3d/_texttemplatesrc.py
new file mode 100644
index 00000000000..c8521c4af68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scatter3d", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_uid.py b/packages/python/plotly/plotly/validators/scatter3d/_uid.py
new file mode 100644
index 00000000000..a00eda80d59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scatter3d", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_uirevision.py b/packages/python/plotly/plotly/validators/scatter3d/_uirevision.py
new file mode 100644
index 00000000000..a0bc7c7aad9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scatter3d", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_visible.py b/packages/python/plotly/plotly/validators/scatter3d/_visible.py
new file mode 100644
index 00000000000..4a79d60e4d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatter3d", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_x.py b/packages/python/plotly/plotly/validators/scatter3d/_x.py
new file mode 100644
index 00000000000..7e3647390f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="scatter3d", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_xcalendar.py b/packages/python/plotly/plotly/validators/scatter3d/_xcalendar.py
new file mode 100644
index 00000000000..c1f5fe43cbb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="scatter3d", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_xsrc.py b/packages/python/plotly/plotly/validators/scatter3d/_xsrc.py
new file mode 100644
index 00000000000..9818c470f5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="scatter3d", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_y.py b/packages/python/plotly/plotly/validators/scatter3d/_y.py
new file mode 100644
index 00000000000..bc3a7b232fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="scatter3d", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_ycalendar.py b/packages/python/plotly/plotly/validators/scatter3d/_ycalendar.py
new file mode 100644
index 00000000000..63654ba56b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="scatter3d", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_ysrc.py b/packages/python/plotly/plotly/validators/scatter3d/_ysrc.py
new file mode 100644
index 00000000000..1853c85c2fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="scatter3d", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_z.py b/packages/python/plotly/plotly/validators/scatter3d/_z.py
new file mode 100644
index 00000000000..405857d7ac1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="scatter3d", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_zcalendar.py b/packages/python/plotly/plotly/validators/scatter3d/_zcalendar.py
new file mode 100644
index 00000000000..9ae45f862eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_zcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class ZcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="zcalendar", parent_name="scatter3d", **kwargs):
+        super(ZcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/_zsrc.py b/packages/python/plotly/plotly/validators/scatter3d/_zsrc.py
new file mode 100644
index 00000000000..b5033533b6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="scatter3d", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/__init__.py
index ab0ca6cc4ff..6964063fb45 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/error_x/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/__init__.py
@@ -1,235 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter3d.error_x", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scatter3d.error_x", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scatter3d.error_x", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CopyZstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="copy_zstyle", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(CopyZstyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter3d.error_x", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scatter3d.error_x", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scatter3d.error_x", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._copy_zstyle import Copy_ZstyleValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._copy_zstyle.Copy_ZstyleValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_array.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_array.py
new file mode 100644
index 00000000000..25ef79e5ecf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scatter3d.error_x", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminus.py
new file mode 100644
index 00000000000..65d64fabf5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminussrc.py
new file mode 100644
index 00000000000..159dbff9da6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_arraysrc.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_arraysrc.py
new file mode 100644
index 00000000000..7fb4f0a1b5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_color.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_color.py
new file mode 100644
index 00000000000..785d719ef70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter3d.error_x", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_copy_zstyle.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_copy_zstyle.py
new file mode 100644
index 00000000000..d90aaaf5893
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_copy_zstyle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class Copy_ZstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="copy_zstyle", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(Copy_ZstyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_symmetric.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_symmetric.py
new file mode 100644
index 00000000000..4c15267b887
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_thickness.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_thickness.py
new file mode 100644
index 00000000000..e156da11c08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_traceref.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_traceref.py
new file mode 100644
index 00000000000..ba0c19e93f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_tracerefminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_tracerefminus.py
new file mode 100644
index 00000000000..f561b58a4e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_type.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_type.py
new file mode 100644
index 00000000000..e0f66a41fab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scatter3d.error_x", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_value.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_value.py
new file mode 100644
index 00000000000..020ff8c7d77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scatter3d.error_x", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_valueminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_valueminus.py
new file mode 100644
index 00000000000..e0116a6b226
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_visible.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_visible.py
new file mode 100644
index 00000000000..77bfbea2457
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="scatter3d.error_x", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_x/_width.py b/packages/python/plotly/plotly/validators/scatter3d/error_x/_width.py
new file mode 100644
index 00000000000..97fa13aa75b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_x/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter3d.error_x", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/__init__.py
index d9ca5428436..6964063fb45 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/error_y/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/__init__.py
@@ -1,235 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter3d.error_y", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scatter3d.error_y", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scatter3d.error_y", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CopyZstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="copy_zstyle", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(CopyZstyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter3d.error_y", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scatter3d.error_y", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scatter3d.error_y", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._copy_zstyle import Copy_ZstyleValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._copy_zstyle.Copy_ZstyleValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_array.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_array.py
new file mode 100644
index 00000000000..7fd9be649a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scatter3d.error_y", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_arrayminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_arrayminus.py
new file mode 100644
index 00000000000..21d501d474e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_arrayminussrc.py
new file mode 100644
index 00000000000..3d2389ebcee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_arraysrc.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_arraysrc.py
new file mode 100644
index 00000000000..eb8367a5809
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_color.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_color.py
new file mode 100644
index 00000000000..08bd3b1d4b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter3d.error_y", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_copy_zstyle.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_copy_zstyle.py
new file mode 100644
index 00000000000..77d21b055da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_copy_zstyle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class Copy_ZstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="copy_zstyle", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(Copy_ZstyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_symmetric.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_symmetric.py
new file mode 100644
index 00000000000..913a9607f65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_thickness.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_thickness.py
new file mode 100644
index 00000000000..fe9d67a8ffa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_traceref.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_traceref.py
new file mode 100644
index 00000000000..791ffa8a94a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_tracerefminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_tracerefminus.py
new file mode 100644
index 00000000000..09c888b4dc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_type.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_type.py
new file mode 100644
index 00000000000..23a8120c928
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scatter3d.error_y", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_value.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_value.py
new file mode 100644
index 00000000000..9e1a965ca7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scatter3d.error_y", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_valueminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_valueminus.py
new file mode 100644
index 00000000000..ebb2dc152f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_visible.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_visible.py
new file mode 100644
index 00000000000..8e09afc442a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="scatter3d.error_y", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_y/_width.py b/packages/python/plotly/plotly/validators/scatter3d/error_y/_width.py
new file mode 100644
index 00000000000..f68da382fef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_y/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter3d.error_y", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/__init__.py
index 408582ed547..0a508f0c655 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/error_z/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/__init__.py
@@ -1,219 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter3d.error_z", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scatter3d.error_z", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scatter3d.error_z", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter3d.error_z", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scatter3d.error_z", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scatter3d.error_z", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_array.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_array.py
new file mode 100644
index 00000000000..e69b2670e29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scatter3d.error_z", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_arrayminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_arrayminus.py
new file mode 100644
index 00000000000..a5c9952cc98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_arrayminussrc.py
new file mode 100644
index 00000000000..0439b0a8e82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_arraysrc.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_arraysrc.py
new file mode 100644
index 00000000000..ed14bd7f251
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_color.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_color.py
new file mode 100644
index 00000000000..4574deb5571
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter3d.error_z", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_symmetric.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_symmetric.py
new file mode 100644
index 00000000000..4681c7925be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_thickness.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_thickness.py
new file mode 100644
index 00000000000..4d24b928301
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_traceref.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_traceref.py
new file mode 100644
index 00000000000..34e6c5d8863
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_tracerefminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_tracerefminus.py
new file mode 100644
index 00000000000..c5f0277f469
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_type.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_type.py
new file mode 100644
index 00000000000..94d8115f9f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scatter3d.error_z", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_value.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_value.py
new file mode 100644
index 00000000000..abff1b2fd1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scatter3d.error_z", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_valueminus.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_valueminus.py
new file mode 100644
index 00000000000..9b04b85dc00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_visible.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_visible.py
new file mode 100644
index 00000000000..7b61466c0d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="scatter3d.error_z", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/error_z/_width.py b/packages/python/plotly/plotly/validators/scatter3d/error_z/_width.py
new file mode 100644
index 00000000000..706af53a6e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/error_z/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter3d.error_z", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/__init__.py
index dabd625dbe0..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/__init__.py
@@ -1,182 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scatter3d.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_align.py
new file mode 100644
index 00000000000..edb5df70260
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..8c974a7ac26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..e02de9d874d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..fa0c29e1911
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..fe9c4f872fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..71561ed8816
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_font.py
new file mode 100644
index 00000000000..82115e78a0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..c4f58c61747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..eaacd78f8bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="scatter3d.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/__init__.py
index 57b0ee227df..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatter3d.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatter3d.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scatter3d.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatter3d.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter3d.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter3d.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..18842c6625a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter3d.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..01f0272a2b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter3d.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..9bd61fe5a90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatter3d.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b235c8d3088
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scatter3d.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..736ec5bf856
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatter3d.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..3be5efa4a75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatter3d.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/line/__init__.py
index 05da3181436..16deedabd53 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/__init__.py
@@ -1,430 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatter3d.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="scatter3d.line", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatter3d.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="dash", parent_name="scatter3d.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="scatter3d.line", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatter3d.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="scatter3d.line", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                3d.line.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scatter3d.line.colorbar.tickformatstopdefault
-                s), sets the default property values to use for
-                elements of
-                scatter3d.line.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scatter3d.line.col
-                orbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                scatter3d.line.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scatter3d.line.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="scatter3d.line", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter3d.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "scatter3d.line.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scatter3d.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scatter3d.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scatter3d.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="scatter3d.line", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scatter3d.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._dash import DashValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._dash.DashValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatter3d/line/_autocolorscale.py
new file mode 100644
index 00000000000..0132ddba194
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scatter3d.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_cauto.py b/packages/python/plotly/plotly/validators/scatter3d/line/_cauto.py
new file mode 100644
index 00000000000..cb82a9e727e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="scatter3d.line", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_cmax.py b/packages/python/plotly/plotly/validators/scatter3d/line/_cmax.py
new file mode 100644
index 00000000000..dc30ac62d52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scatter3d.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_cmid.py b/packages/python/plotly/plotly/validators/scatter3d/line/_cmid.py
new file mode 100644
index 00000000000..13fde43de52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scatter3d.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_cmin.py b/packages/python/plotly/plotly/validators/scatter3d/line/_cmin.py
new file mode 100644
index 00000000000..cfa97ae171b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scatter3d.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_color.py b/packages/python/plotly/plotly/validators/scatter3d/line/_color.py
new file mode 100644
index 00000000000..81fc2d6fd9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter3d.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "scatter3d.line.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scatter3d/line/_coloraxis.py
new file mode 100644
index 00000000000..34c4bbe9db7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="scatter3d.line", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_colorbar.py b/packages/python/plotly/plotly/validators/scatter3d/line/_colorbar.py
new file mode 100644
index 00000000000..1522dd9f946
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="scatter3d.line", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                3d.line.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scatter3d.line.colorbar.tickformatstopdefault
+                s), sets the default property values to use for
+                elements of
+                scatter3d.line.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scatter3d.line.col
+                orbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                scatter3d.line.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scatter3d.line.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_colorscale.py b/packages/python/plotly/plotly/validators/scatter3d/line/_colorscale.py
new file mode 100644
index 00000000000..828830f5e01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatter3d.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/line/_colorsrc.py
new file mode 100644
index 00000000000..233ad38f55a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="scatter3d.line", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_dash.py b/packages/python/plotly/plotly/validators/scatter3d/line/_dash.py
new file mode 100644
index 00000000000..841e67a4d3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="dash", parent_name="scatter3d.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_reversescale.py b/packages/python/plotly/plotly/validators/scatter3d/line/_reversescale.py
new file mode 100644
index 00000000000..ebe2bd93dd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatter3d.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_showscale.py b/packages/python/plotly/plotly/validators/scatter3d/line/_showscale.py
new file mode 100644
index 00000000000..f1e036934c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="scatter3d.line", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/_width.py b/packages/python/plotly/plotly/validators/scatter3d/line/_width.py
new file mode 100644
index 00000000000..110ed8d0a5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatter3d.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/__init__.py
index 14bde0d253b..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/__init__.py
@@ -1,798 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scatter3d.line.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatter3d.line.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..e2941264d29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..e65ecc9c5e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..e3957e6bc45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_dtick.py
new file mode 100644
index 00000000000..2855d9d2fc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..b9136caadda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_len.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_len.py
new file mode 100644
index 00000000000..4c3ff86516c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_lenmode.py
new file mode 100644
index 00000000000..117deef8c6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_nticks.py
new file mode 100644
index 00000000000..02665f89c6a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..2b9763bc70e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..2a38e027dd9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..87267de43cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showexponent.py
new file mode 100644
index 00000000000..0b656e4a549
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..15374bca7a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..e969e5a9210
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..ce3c17ddd48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_thickness.py
new file mode 100644
index 00000000000..19292569f25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..842e6c87db9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tick0.py
new file mode 100644
index 00000000000..ff2b49f1a77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickangle.py
new file mode 100644
index 00000000000..9829718a0fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..0fb55627fcb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickfont.py
new file mode 100644
index 00000000000..227838e9781
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformat.py
new file mode 100644
index 00000000000..c3cc39a0945
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..20899016411
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..1aeca386844
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scatter3d.line.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticklen.py
new file mode 100644
index 00000000000..cb302067c89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickmode.py
new file mode 100644
index 00000000000..44e2b80369b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..890300ebdd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticks.py
new file mode 100644
index 00000000000..f2e42a655c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..2a925d17d64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticktext.py
new file mode 100644
index 00000000000..7e371e8affb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..884526f06f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickvals.py
new file mode 100644
index 00000000000..3ce8162747e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..8662d0ca1f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..a349dbb3eaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_title.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_title.py
new file mode 100644
index 00000000000..e96d6ffeead
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_x.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_x.py
new file mode 100644
index 00000000000..4cd57b59c5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_xanchor.py
new file mode 100644
index 00000000000..612aefc0838
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_xpad.py
new file mode 100644
index 00000000000..7d12ce428a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_y.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_y.py
new file mode 100644
index 00000000000..c97ba01a29e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_yanchor.py
new file mode 100644
index 00000000000..e49a0b461e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ypad.py
new file mode 100644
index 00000000000..c5b1553a648
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scatter3d.line.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/__init__.py
index 6ccc9caf32b..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatter3d.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatter3d.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatter3d.line.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..5abf8ea8cd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatter3d.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..df08a1cc6d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatter3d.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..e8f6ec2886f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatter3d.line.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/__init__.py
index f8dd736ab4d..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scatter3d.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scatter3d.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scatter3d.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scatter3d.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scatter3d.line.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..a8231a56c5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scatter3d.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..8b611e7754b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scatter3d.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..e5589a97289
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scatter3d.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..8bcb4f3287f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scatter3d.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..e28c941a954
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scatter3d.line.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/__init__.py
index bf6ce5fb974..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="scatter3d.line.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="scatter3d.line.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scatter3d.line.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_font.py
new file mode 100644
index 00000000000..8033e0fc3d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scatter3d.line.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_side.py
new file mode 100644
index 00000000000..04bfcc5608c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="scatter3d.line.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_text.py
new file mode 100644
index 00000000000..c81668ef8b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="scatter3d.line.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/__init__.py
index 6b8db31d7a4..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatter3d.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatter3d.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatter3d.line.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..1a4cb42464a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatter3d.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..d9dba40af26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatter3d.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..3597d50eac8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatter3d.line.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/__init__.py
index 5acf3f994d8..4f1ac906e3e 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/__init__.py
@@ -1,648 +1,54 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="scatter3d.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "circle",
-                    "circle-open",
-                    "square",
-                    "square-open",
-                    "diamond",
-                    "diamond-open",
-                    "cross",
-                    "x",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="scatter3d.marker", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizeref", parent_name="scatter3d.marker", **kwargs):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizemin", parent_name="scatter3d.marker", **kwargs):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scatter3d.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatter3d.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatter3d.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                3d.marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scatter3d.marker.colorbar.tickformatstopdefau
-                lts), sets the default property values to use
-                for elements of
-                scatter3d.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scatter3d.marker.c
-                olorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                scatter3d.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scatter3d.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter3d.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatter3d.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scatter3d.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scatter3d.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scatter3d.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="scatter3d.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scatter3d.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_autocolorscale.py
new file mode 100644
index 00000000000..c8e3c575ed1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_cauto.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_cauto.py
new file mode 100644
index 00000000000..61b9b815ead
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="scatter3d.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_cmax.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_cmax.py
new file mode 100644
index 00000000000..8b89ea4ba37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scatter3d.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_cmid.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_cmid.py
new file mode 100644
index 00000000000..740983d49d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scatter3d.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_cmin.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_cmin.py
new file mode 100644
index 00000000000..1336a7240b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scatter3d.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_color.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_color.py
new file mode 100644
index 00000000000..6eb6b4ce81e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_color.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter3d.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatter3d.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_coloraxis.py
new file mode 100644
index 00000000000..7c40942d976
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_colorbar.py
new file mode 100644
index 00000000000..943bc73e346
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                3d.marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scatter3d.marker.colorbar.tickformatstopdefau
+                lts), sets the default property values to use
+                for elements of
+                scatter3d.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scatter3d.marker.c
+                olorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                scatter3d.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scatter3d.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_colorscale.py
new file mode 100644
index 00000000000..7c0eed77313
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_colorsrc.py
new file mode 100644
index 00000000000..99afa8e9b0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_line.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_line.py
new file mode 100644
index 00000000000..2534fa87463
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_line.py
@@ -0,0 +1,101 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatter3d.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_opacity.py
new file mode 100644
index 00000000000..dcf698d2a80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatter3d.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_reversescale.py
new file mode 100644
index 00000000000..09943a375fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_showscale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_showscale.py
new file mode 100644
index 00000000000..70b52f3e215
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_size.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_size.py
new file mode 100644
index 00000000000..c8dde1bce18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scatter3d.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizemin.py
new file mode 100644
index 00000000000..02a2f63ecc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizemin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizemin", parent_name="scatter3d.marker", **kwargs):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizemode.py
new file mode 100644
index 00000000000..6a6717677c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizeref.py
new file mode 100644
index 00000000000..63ce52961b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizeref.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizeref", parent_name="scatter3d.marker", **kwargs):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizesrc.py
new file mode 100644
index 00000000000..ece4128a82a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="scatter3d.marker", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_symbol.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_symbol.py
new file mode 100644
index 00000000000..81de82d3fea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_symbol.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="scatter3d.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "circle",
+                    "circle-open",
+                    "square",
+                    "square-open",
+                    "diamond",
+                    "diamond-open",
+                    "cross",
+                    "x",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scatter3d/marker/_symbolsrc.py
new file mode 100644
index 00000000000..fb68228fca9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scatter3d.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/__init__.py
index 06a69c4ec4b..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/__init__.py
@@ -1,819 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scatter3d.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatter3d.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..53da6d50aad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..c9ca559e879
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..a80daa45e92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..0c97bfaa079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..c7a9a5db6d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_len.py
new file mode 100644
index 00000000000..a10b9c2e7b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..7bcda78bd9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..5897373c518
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..d768b681e00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..d27ea51c2e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..1f3d3d7bc96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..192937f695a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..6341af107d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..9d8dffdc18e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..5c0701450d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..61c75577d62
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..46e6ee36625
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..d10b272ab6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..cacacf7a3e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..5ede8a89c0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..50a607d684d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..eda4666cfa6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..4a145373ffc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..d0ebeb5060f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..9222b35a147
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..99c965e4e28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..fa33e8a6729
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..481830a65bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..7f8fbcf5d41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..49008f737b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..9f2ad33c854
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..6545ac2e2cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..04077389473
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scatter3d.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..4d66f9c9343
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_title.py
new file mode 100644
index 00000000000..c6df04db3e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_x.py
new file mode 100644
index 00000000000..dba6f390d70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..ae18dd9af53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..94ec9728d0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_y.py
new file mode 100644
index 00000000000..3b685c5d393
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..4532f3293e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..b5dc3f4294a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scatter3d.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/__init__.py
index 6da45d3a4a5..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatter3d.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatter3d.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatter3d.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..881d54de64e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatter3d.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..439a7151be9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatter3d.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..79b0a9c2941
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatter3d.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/__init__.py
index 2e87ace6d74..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scatter3d.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scatter3d.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scatter3d.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scatter3d.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scatter3d.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..1a3189797b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scatter3d.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..6e5a1eaaf89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scatter3d.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..ed2cb11430d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scatter3d.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..24d337c9a94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scatter3d.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..167690a6534
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scatter3d.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/__init__.py
index 6d7ca7782f2..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scatter3d.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scatter3d.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scatter3d.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..9e68df2d64a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scatter3d.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..e1ddfd4290b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scatter3d.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..f984063cdff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scatter3d.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/__init__.py
index 65200ab7146..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatter3d.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatter3d.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatter3d.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..d772ab1934d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatter3d.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..9b6dc79dcfc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatter3d.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..b13c8980aca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatter3d.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/__init__.py
index 65c7ee7172a..819b114137b 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/__init__.py
@@ -1,191 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatter3d.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatter3d.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scatter3d.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..e4a467268d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scatter3d.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cauto.py
new file mode 100644
index 00000000000..35de5a47f80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmax.py
new file mode 100644
index 00000000000..122e0869d38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmid.py
new file mode 100644
index 00000000000..7ea0afbd8da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmin.py
new file mode 100644
index 00000000000..56b285723b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_color.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_color.py
new file mode 100644
index 00000000000..361ec19d9a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatter3d.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..bd2b10affd6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_colorscale.py
new file mode 100644
index 00000000000..767603d09ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..ae44796885f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_reversescale.py
new file mode 100644
index 00000000000..78f906fce2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/marker/line/_width.py b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_width.py
new file mode 100644
index 00000000000..4508750a7d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatter3d.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/projection/__init__.py
index f079014a014..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/projection/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/__init__.py
@@ -1,76 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="z", parent_name="scatter3d.projection", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Z"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the projection color.
-            scale
-                Sets the scale factor determining the size of
-                the projection marker points.
-            show
-                Sets whether or not projections are shown along
-                the z axis.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="y", parent_name="scatter3d.projection", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Y"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the projection color.
-            scale
-                Sets the scale factor determining the size of
-                the projection marker points.
-            show
-                Sets whether or not projections are shown along
-                the y axis.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="x", parent_name="scatter3d.projection", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "X"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the projection color.
-            scale
-                Sets the scale factor determining the size of
-                the projection marker points.
-            show
-                Sets whether or not projections are shown along
-                the x axis.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/_x.py b/packages/python/plotly/plotly/validators/scatter3d/projection/_x.py
new file mode 100644
index 00000000000..ddd6ba9c259
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/_x.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="x", parent_name="scatter3d.projection", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "X"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the projection color.
+            scale
+                Sets the scale factor determining the size of
+                the projection marker points.
+            show
+                Sets whether or not projections are shown along
+                the x axis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/_y.py b/packages/python/plotly/plotly/validators/scatter3d/projection/_y.py
new file mode 100644
index 00000000000..17798dc4527
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/_y.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="y", parent_name="scatter3d.projection", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Y"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the projection color.
+            scale
+                Sets the scale factor determining the size of
+                the projection marker points.
+            show
+                Sets whether or not projections are shown along
+                the y axis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/_z.py b/packages/python/plotly/plotly/validators/scatter3d/projection/_z.py
new file mode 100644
index 00000000000..cda3c7699d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/_z.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="z", parent_name="scatter3d.projection", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Z"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the projection color.
+            scale
+                Sets the scale factor determining the size of
+                the projection marker points.
+            show
+                Sets whether or not projections are shown along
+                the z axis.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/x/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/projection/x/__init__.py
index 0a0f0641a7f..133300bffd7 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/projection/x/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/x/__init__.py
@@ -1,50 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="show", parent_name="scatter3d.projection.x", **kwargs
-    ):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="scale", parent_name="scatter3d.projection.x", **kwargs
-    ):
-        super(ScaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatter3d.projection.x", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._scale import ScaleValidator
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._scale.ScaleValidator",
+            "._opacity.OpacityValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/x/_opacity.py b/packages/python/plotly/plotly/validators/scatter3d/projection/x/_opacity.py
new file mode 100644
index 00000000000..29536e0bbcb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/x/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatter3d.projection.x", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/x/_scale.py b/packages/python/plotly/plotly/validators/scatter3d/projection/x/_scale.py
new file mode 100644
index 00000000000..6003e4d8d8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/x/_scale.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="scale", parent_name="scatter3d.projection.x", **kwargs
+    ):
+        super(ScaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/x/_show.py b/packages/python/plotly/plotly/validators/scatter3d/projection/x/_show.py
new file mode 100644
index 00000000000..0f8f333c23e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/x/_show.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="show", parent_name="scatter3d.projection.x", **kwargs
+    ):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/y/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/projection/y/__init__.py
index cb4fb552a0e..133300bffd7 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/projection/y/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/y/__init__.py
@@ -1,50 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="show", parent_name="scatter3d.projection.y", **kwargs
-    ):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="scale", parent_name="scatter3d.projection.y", **kwargs
-    ):
-        super(ScaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatter3d.projection.y", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._scale import ScaleValidator
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._scale.ScaleValidator",
+            "._opacity.OpacityValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/y/_opacity.py b/packages/python/plotly/plotly/validators/scatter3d/projection/y/_opacity.py
new file mode 100644
index 00000000000..1e02a3e7efd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/y/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatter3d.projection.y", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/y/_scale.py b/packages/python/plotly/plotly/validators/scatter3d/projection/y/_scale.py
new file mode 100644
index 00000000000..f758d984167
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/y/_scale.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="scale", parent_name="scatter3d.projection.y", **kwargs
+    ):
+        super(ScaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/y/_show.py b/packages/python/plotly/plotly/validators/scatter3d/projection/y/_show.py
new file mode 100644
index 00000000000..0a4516bd71e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/y/_show.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="show", parent_name="scatter3d.projection.y", **kwargs
+    ):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/z/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/projection/z/__init__.py
index f60cf53418a..133300bffd7 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/projection/z/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/z/__init__.py
@@ -1,50 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="show", parent_name="scatter3d.projection.z", **kwargs
-    ):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="scale", parent_name="scatter3d.projection.z", **kwargs
-    ):
-        super(ScaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatter3d.projection.z", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._scale import ScaleValidator
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._scale.ScaleValidator",
+            "._opacity.OpacityValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/z/_opacity.py b/packages/python/plotly/plotly/validators/scatter3d/projection/z/_opacity.py
new file mode 100644
index 00000000000..f01040990b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/z/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatter3d.projection.z", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/z/_scale.py b/packages/python/plotly/plotly/validators/scatter3d/projection/z/_scale.py
new file mode 100644
index 00000000000..0a13c1a2d2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/z/_scale.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="scale", parent_name="scatter3d.projection.z", **kwargs
+    ):
+        super(ScaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/projection/z/_show.py b/packages/python/plotly/plotly/validators/scatter3d/projection/z/_show.py
new file mode 100644
index 00000000000..ba40ba4e762
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/projection/z/_show.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="show", parent_name="scatter3d.projection.z", **kwargs
+    ):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/stream/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/stream/__init__.py
index 074cb58bb7f..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="scatter3d.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scatter3d.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scatter3d/stream/_maxpoints.py
new file mode 100644
index 00000000000..8b8aef32e14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scatter3d.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/stream/_token.py b/packages/python/plotly/plotly/validators/scatter3d/stream/_token.py
new file mode 100644
index 00000000000..909810292e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="scatter3d.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatter3d/textfont/__init__.py
index e9863f6a725..dbc0e04f6d2 100644
--- a/packages/python/plotly/plotly/validators/scatter3d/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatter3d/textfont/__init__.py
@@ -1,80 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatter3d.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scatter3d.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatter3d.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatter3d.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatter3d.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/textfont/_color.py b/packages/python/plotly/plotly/validators/scatter3d/textfont/_color.py
new file mode 100644
index 00000000000..2eb87e90bd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatter3d.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scatter3d/textfont/_colorsrc.py
new file mode 100644
index 00000000000..fa0a720cb94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatter3d.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/textfont/_family.py b/packages/python/plotly/plotly/validators/scatter3d/textfont/_family.py
new file mode 100644
index 00000000000..3322c6f07fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatter3d.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/textfont/_size.py b/packages/python/plotly/plotly/validators/scatter3d/textfont/_size.py
new file mode 100644
index 00000000000..a1f61f00881
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scatter3d.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatter3d/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scatter3d/textfont/_sizesrc.py
new file mode 100644
index 00000000000..8f1ff7461cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatter3d/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatter3d.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/__init__.py
index ac83dc145d1..a57dd396657 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/__init__.py
@@ -1,952 +1,102 @@
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="scattercarpet", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="scattercarpet", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scattercarpet", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="scattercarpet", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattercarpet.unse
-                lected.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scattercarpet.unse
-                lected.Textfont` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scattercarpet", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scattercarpet", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scattercarpet", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="texttemplate", parent_name="scattercarpet", **kwargs
-    ):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scattercarpet", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scattercarpet", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="textposition", parent_name="scattercarpet", **kwargs
-    ):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scattercarpet", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scattercarpet", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scattercarpet", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scattercarpet", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="scattercarpet", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scattercarpet", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattercarpet.sele
-                cted.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scattercarpet.sele
-                cted.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scattercarpet", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scattercarpet", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scattercarpet", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scattercarpet", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scattercarpet", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scattercarpet", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scattercarpet.mark
-                er.ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            gradient
-                :class:`plotly.graph_objects.scattercarpet.mark
-                er.Gradient` instance or dict with compatible
-                properties
-            line
-                :class:`plotly.graph_objects.scattercarpet.mark
-                er.Line` instance or dict with compatible
-                properties
-            maxdisplayed
-                Sets a maximum number of points to be drawn on
-                the graph. 0 corresponds to no limit.
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scattercarpet", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            shape
-                Determines the line shape. With "spline" the
-                lines are drawn using spline interpolation. The
-                other available values correspond to step-wise
-                line shapes.
-            smoothing
-                Has an effect only if `shape` is set to
-                "spline" Sets the amount of smoothing. 0
-                corresponds to no smoothing (equivalent to a
-                "linear" shape).
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="scattercarpet", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scattercarpet", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scattercarpet", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="scattercarpet", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scattercarpet", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scattercarpet", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="scattercarpet", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="scattercarpet", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            flags=kwargs.pop("flags", ["points", "fills"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scattercarpet", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="scattercarpet", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scattercarpet", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["a", "b", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scattercarpet", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scattercarpet", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "toself", "tonext"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="scattercarpet", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scattercarpet", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="connectgaps", parent_name="scattercarpet", **kwargs
-    ):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="carpet", parent_name="scattercarpet", **kwargs):
-        super(CarpetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="bsrc", parent_name="scattercarpet", **kwargs):
-        super(BsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="b", parent_name="scattercarpet", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="asrc", parent_name="scattercarpet", **kwargs):
-        super(AsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="a", parent_name="scattercarpet", **kwargs):
-        super(AValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxis import YaxisValidator
+    from ._xaxis import XaxisValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._carpet import CarpetValidator
+    from ._bsrc import BsrcValidator
+    from ._b import BValidator
+    from ._asrc import AsrcValidator
+    from ._a import AValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yaxis.YaxisValidator",
+            "._xaxis.XaxisValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._carpet.CarpetValidator",
+            "._bsrc.BsrcValidator",
+            "._b.BValidator",
+            "._asrc.AsrcValidator",
+            "._a.AValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_a.py b/packages/python/plotly/plotly/validators/scattercarpet/_a.py
new file mode 100644
index 00000000000..5aa31ee1018
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_a.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="a", parent_name="scattercarpet", **kwargs):
+        super(AValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_asrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_asrc.py
new file mode 100644
index 00000000000..007c2996c55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_asrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="asrc", parent_name="scattercarpet", **kwargs):
+        super(AsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_b.py b/packages/python/plotly/plotly/validators/scattercarpet/_b.py
new file mode 100644
index 00000000000..ae5c3db4974
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_b.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="b", parent_name="scattercarpet", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_bsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_bsrc.py
new file mode 100644
index 00000000000..b6a4091a8ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_bsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="bsrc", parent_name="scattercarpet", **kwargs):
+        super(BsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_carpet.py b/packages/python/plotly/plotly/validators/scattercarpet/_carpet.py
new file mode 100644
index 00000000000..a9ebb42e49d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_carpet.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="carpet", parent_name="scattercarpet", **kwargs):
+        super(CarpetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_connectgaps.py b/packages/python/plotly/plotly/validators/scattercarpet/_connectgaps.py
new file mode 100644
index 00000000000..5ed18868f59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_connectgaps.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="connectgaps", parent_name="scattercarpet", **kwargs
+    ):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_customdata.py b/packages/python/plotly/plotly/validators/scattercarpet/_customdata.py
new file mode 100644
index 00000000000..7835d5b7951
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scattercarpet", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_customdatasrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_customdatasrc.py
new file mode 100644
index 00000000000..2907a40a045
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="scattercarpet", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_fill.py b/packages/python/plotly/plotly/validators/scattercarpet/_fill.py
new file mode 100644
index 00000000000..9aa5eed5cc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_fill.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scattercarpet", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "toself", "tonext"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_fillcolor.py b/packages/python/plotly/plotly/validators/scattercarpet/_fillcolor.py
new file mode 100644
index 00000000000..d3f67232521
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scattercarpet", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hoverinfo.py b/packages/python/plotly/plotly/validators/scattercarpet/_hoverinfo.py
new file mode 100644
index 00000000000..1557dfec029
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scattercarpet", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["a", "b", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_hoverinfosrc.py
new file mode 100644
index 00000000000..7a0ab33305d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="scattercarpet", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hoverlabel.py b/packages/python/plotly/plotly/validators/scattercarpet/_hoverlabel.py
new file mode 100644
index 00000000000..52161c12469
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scattercarpet", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hoveron.py b/packages/python/plotly/plotly/validators/scattercarpet/_hoveron.py
new file mode 100644
index 00000000000..1b13d0d1223
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hoveron.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="scattercarpet", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            flags=kwargs.pop("flags", ["points", "fills"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hovertemplate.py b/packages/python/plotly/plotly/validators/scattercarpet/_hovertemplate.py
new file mode 100644
index 00000000000..d86b5de5852
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="scattercarpet", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_hovertemplatesrc.py
new file mode 100644
index 00000000000..e9a14d9b81a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scattercarpet", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hovertext.py b/packages/python/plotly/plotly/validators/scattercarpet/_hovertext.py
new file mode 100644
index 00000000000..c53f35cb0af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scattercarpet", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_hovertextsrc.py
new file mode 100644
index 00000000000..0a80e2b5b2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="scattercarpet", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_ids.py b/packages/python/plotly/plotly/validators/scattercarpet/_ids.py
new file mode 100644
index 00000000000..6466935ccc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scattercarpet", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_idssrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_idssrc.py
new file mode 100644
index 00000000000..e0f36237c1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scattercarpet", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_legendgroup.py b/packages/python/plotly/plotly/validators/scattercarpet/_legendgroup.py
new file mode 100644
index 00000000000..529e933ff01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="scattercarpet", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_line.py b/packages/python/plotly/plotly/validators/scattercarpet/_line.py
new file mode 100644
index 00000000000..6aedfe8c437
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_line.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scattercarpet", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            shape
+                Determines the line shape. With "spline" the
+                lines are drawn using spline interpolation. The
+                other available values correspond to step-wise
+                line shapes.
+            smoothing
+                Has an effect only if `shape` is set to
+                "spline" Sets the amount of smoothing. 0
+                corresponds to no smoothing (equivalent to a
+                "linear" shape).
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_marker.py b/packages/python/plotly/plotly/validators/scattercarpet/_marker.py
new file mode 100644
index 00000000000..720bdb8cc77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_marker.py
@@ -0,0 +1,147 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scattercarpet", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scattercarpet.mark
+                er.ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            gradient
+                :class:`plotly.graph_objects.scattercarpet.mark
+                er.Gradient` instance or dict with compatible
+                properties
+            line
+                :class:`plotly.graph_objects.scattercarpet.mark
+                er.Line` instance or dict with compatible
+                properties
+            maxdisplayed
+                Sets a maximum number of points to be drawn on
+                the graph. 0 corresponds to no limit.
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_meta.py b/packages/python/plotly/plotly/validators/scattercarpet/_meta.py
new file mode 100644
index 00000000000..295c3282b60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scattercarpet", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_metasrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_metasrc.py
new file mode 100644
index 00000000000..92f8ca92253
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scattercarpet", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_mode.py b/packages/python/plotly/plotly/validators/scattercarpet/_mode.py
new file mode 100644
index 00000000000..543611ecedd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scattercarpet", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_name.py b/packages/python/plotly/plotly/validators/scattercarpet/_name.py
new file mode 100644
index 00000000000..0129fddcf3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scattercarpet", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_opacity.py b/packages/python/plotly/plotly/validators/scattercarpet/_opacity.py
new file mode 100644
index 00000000000..e174b545066
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scattercarpet", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_selected.py b/packages/python/plotly/plotly/validators/scattercarpet/_selected.py
new file mode 100644
index 00000000000..60d1417a943
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scattercarpet", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattercarpet.sele
+                cted.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scattercarpet.sele
+                cted.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_selectedpoints.py b/packages/python/plotly/plotly/validators/scattercarpet/_selectedpoints.py
new file mode 100644
index 00000000000..11af7ba82e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="scattercarpet", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_showlegend.py b/packages/python/plotly/plotly/validators/scattercarpet/_showlegend.py
new file mode 100644
index 00000000000..3f25c5ff2d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scattercarpet", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_stream.py b/packages/python/plotly/plotly/validators/scattercarpet/_stream.py
new file mode 100644
index 00000000000..33226055e14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scattercarpet", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_text.py b/packages/python/plotly/plotly/validators/scattercarpet/_text.py
new file mode 100644
index 00000000000..085cc3e2677
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scattercarpet", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_textfont.py b/packages/python/plotly/plotly/validators/scattercarpet/_textfont.py
new file mode 100644
index 00000000000..982507db605
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scattercarpet", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_textposition.py b/packages/python/plotly/plotly/validators/scattercarpet/_textposition.py
new file mode 100644
index 00000000000..7152c068cbe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_textposition.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="textposition", parent_name="scattercarpet", **kwargs
+    ):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_textpositionsrc.py
new file mode 100644
index 00000000000..375e10c6305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scattercarpet", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_textsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_textsrc.py
new file mode 100644
index 00000000000..e160dfa350a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scattercarpet", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_texttemplate.py b/packages/python/plotly/plotly/validators/scattercarpet/_texttemplate.py
new file mode 100644
index 00000000000..3bb44e04486
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_texttemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="texttemplate", parent_name="scattercarpet", **kwargs
+    ):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scattercarpet/_texttemplatesrc.py
new file mode 100644
index 00000000000..8378f1349bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scattercarpet", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_uid.py b/packages/python/plotly/plotly/validators/scattercarpet/_uid.py
new file mode 100644
index 00000000000..5611bb0832b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scattercarpet", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_uirevision.py b/packages/python/plotly/plotly/validators/scattercarpet/_uirevision.py
new file mode 100644
index 00000000000..466ee00f4d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scattercarpet", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_unselected.py b/packages/python/plotly/plotly/validators/scattercarpet/_unselected.py
new file mode 100644
index 00000000000..7679d16b49c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="scattercarpet", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattercarpet.unse
+                lected.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scattercarpet.unse
+                lected.Textfont` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_visible.py b/packages/python/plotly/plotly/validators/scattercarpet/_visible.py
new file mode 100644
index 00000000000..f7ff4421e76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scattercarpet", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_xaxis.py b/packages/python/plotly/plotly/validators/scattercarpet/_xaxis.py
new file mode 100644
index 00000000000..2748cd56ac6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="scattercarpet", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/_yaxis.py b/packages/python/plotly/plotly/validators/scattercarpet/_yaxis.py
new file mode 100644
index 00000000000..a807243244e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="scattercarpet", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/__init__.py
index b8d61ecf765..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/__init__.py
@@ -1,191 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="scattercarpet.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scattercarpet.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scattercarpet.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="scattercarpet.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scattercarpet.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scattercarpet.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scattercarpet.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scattercarpet.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scattercarpet.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_align.py
new file mode 100644
index 00000000000..c5e592d4bf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scattercarpet.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..8c5d52d9404
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scattercarpet.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..45bc498e273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scattercarpet.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..45907650de2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scattercarpet.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..eedab3d43fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scattercarpet.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..23b61c96d30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="scattercarpet.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_font.py
new file mode 100644
index 00000000000..8b552a6f769
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scattercarpet.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..064ce394bee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scattercarpet.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..8b86a3cfe9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="scattercarpet.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/__init__.py
index 8c0611c0568..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/__init__.py
@@ -1,112 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="scattercarpet.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattercarpet.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="scattercarpet.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattercarpet.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scattercarpet.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattercarpet.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..6076cef6c15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattercarpet.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..c52022cae58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scattercarpet.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..f49bd78a3e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattercarpet.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..7f58b7edb92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="scattercarpet.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..520d968101f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattercarpet.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..2a0a0c4f40d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="scattercarpet.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/line/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/line/__init__.py
index fccd7393f58..73e814e94f3 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/line/__init__.py
@@ -1,77 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scattercarpet.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="smoothing", parent_name="scattercarpet.line", **kwargs
-    ):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="shape", parent_name="scattercarpet.line", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["linear", "spline"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="scattercarpet.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattercarpet.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._shape import ShapeValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._shape.ShapeValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/line/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/line/_color.py
new file mode 100644
index 00000000000..7a0853cf98d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattercarpet.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/line/_dash.py b/packages/python/plotly/plotly/validators/scattercarpet/line/_dash.py
new file mode 100644
index 00000000000..3368c3418c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="scattercarpet.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/line/_shape.py b/packages/python/plotly/plotly/validators/scattercarpet/line/_shape.py
new file mode 100644
index 00000000000..c61ca6aa62a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/line/_shape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="shape", parent_name="scattercarpet.line", **kwargs):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["linear", "spline"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/line/_smoothing.py b/packages/python/plotly/plotly/validators/scattercarpet/line/_smoothing.py
new file mode 100644
index 00000000000..dad431b7668
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/line/_smoothing.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="smoothing", parent_name="scattercarpet.line", **kwargs
+    ):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/line/_width.py b/packages/python/plotly/plotly/validators/scattercarpet/line/_width.py
new file mode 100644
index 00000000000..4dc0f473328
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scattercarpet.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/__init__.py
index 5804f176674..bcd2242a57a 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/__init__.py
@@ -1,1017 +1,60 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizeref", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxdisplayed", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(MaxdisplayedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="gradient", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(GradientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Gradient"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the final color of the gradient fill: the
-                center color for radial, the right for
-                horizontal, or the bottom for vertical.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            type
-                Sets the type of gradient used to fill the
-                markers
-            typesrc
-                Sets the source reference on Chart Studio Cloud
-                for  type .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                carpet.marker.colorbar.Tickformatstop`
-                instances or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scattercarpet.marker.colorbar.tickformatstopd
-                efaults), sets the default property values to
-                use for elements of
-                scattercarpet.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scattercarpet.mark
-                er.colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                scattercarpet.marker.colorbar.title.font
-                instead. Sets this color bar's title font. Note
-                that the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scattercarpet.marker.colorbar.title.side
-                instead. Determines the location of color bar's
-                title with respect to the color bar. Note that
-                the title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattercarpet.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scattercarpet.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._maxdisplayed import MaxdisplayedValidator
+    from ._line import LineValidator
+    from ._gradient import GradientValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._maxdisplayed.MaxdisplayedValidator",
+            "._line.LineValidator",
+            "._gradient.GradientValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_autocolorscale.py
new file mode 100644
index 00000000000..6907d55337f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_cauto.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cauto.py
new file mode 100644
index 00000000000..28fec680fb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmax.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmax.py
new file mode 100644
index 00000000000..3edc94ac7b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmid.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmid.py
new file mode 100644
index 00000000000..7a172a3f7d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmin.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmin.py
new file mode 100644
index 00000000000..9b63451e464
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_color.py
new file mode 100644
index 00000000000..297c1609768
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattercarpet.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_coloraxis.py
new file mode 100644
index 00000000000..c422bfa37e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorbar.py
new file mode 100644
index 00000000000..0d801c6dc11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                carpet.marker.colorbar.Tickformatstop`
+                instances or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scattercarpet.marker.colorbar.tickformatstopd
+                efaults), sets the default property values to
+                use for elements of
+                scattercarpet.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scattercarpet.mark
+                er.colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                scattercarpet.marker.colorbar.title.font
+                instead. Sets this color bar's title font. Note
+                that the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scattercarpet.marker.colorbar.title.side
+                instead. Determines the location of color bar's
+                title with respect to the color bar. Note that
+                the title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorscale.py
new file mode 100644
index 00000000000..385fb69dcb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorsrc.py
new file mode 100644
index 00000000000..ae0f2b5f63e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_gradient.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_gradient.py
new file mode 100644
index 00000000000..be1e6bb704e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_gradient.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="gradient", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(GradientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Gradient"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the final color of the gradient fill: the
+                center color for radial, the right for
+                horizontal, or the bottom for vertical.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            type
+                Sets the type of gradient used to fill the
+                markers
+            typesrc
+                Sets the source reference on Chart Studio Cloud
+                for  type .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_line.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_line.py
new file mode 100644
index 00000000000..d5fc5871484
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_line.py
@@ -0,0 +1,106 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_maxdisplayed.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_maxdisplayed.py
new file mode 100644
index 00000000000..762d5b88e07
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_maxdisplayed.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxdisplayed", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(MaxdisplayedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_opacity.py
new file mode 100644
index 00000000000..da625eb8036
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_opacitysrc.py
new file mode 100644
index 00000000000..04a0a1d1bfb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_reversescale.py
new file mode 100644
index 00000000000..fb52f94eebe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_showscale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_showscale.py
new file mode 100644
index 00000000000..bb42e672595
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_size.py
new file mode 100644
index 00000000000..47b9f1d7b9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizemin.py
new file mode 100644
index 00000000000..e2453b981f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizemin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizemode.py
new file mode 100644
index 00000000000..4535bd3a12b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizeref.py
new file mode 100644
index 00000000000..0760df9d8d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizeref.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizeref", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizesrc.py
new file mode 100644
index 00000000000..75bc2519460
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_symbol.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_symbol.py
new file mode 100644
index 00000000000..808c9842593
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_symbol.py
@@ -0,0 +1,304 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/_symbolsrc.py
new file mode 100644
index 00000000000..371e120d66c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scattercarpet.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/__init__.py
index 0d46e06b7b0..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/__init__.py
@@ -1,861 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="yanchor",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="xanchor",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickvals",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="ticktext",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="tickmode",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="ticklen",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickfont",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="nticks",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="lenmode",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scattercarpet.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="scattercarpet.marker.colorbar",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..05e39e56d44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..4fea5ff26e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..d86487e794c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..b71976631e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..20e4d187331
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_len.py
new file mode 100644
index 00000000000..470413aadee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..af796d3bfe1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_lenmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="lenmode",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..7d1844a3b20
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_nticks.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="nticks",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..12922159fbd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..2e3c6b763b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..c5dddeef11c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..878cbdd399a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..a880385dae6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..89d30b1b2ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..4f57445b7cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..52e6f48246f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..4911ade07ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..497eff2ed92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..52ce43b000b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..947a3dd9ed1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..0441a5757e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickfont",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..a0e90c31749
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..c7ce408cc04
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..c5bab793709
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..8769fa584a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticklen.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="ticklen",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..a28da3cd6a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickmode.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="tickmode",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..ce5bfdac933
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..ecacb5b8755
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..0612972cc2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..37c7bc6a16d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticktext.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="ticktext",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..502c9d80883
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..345c122e64e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickvals.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickvals",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..6c8f7b5d520
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..a8bd9e1cbcc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_title.py
new file mode 100644
index 00000000000..cfdf8d500a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_x.py
new file mode 100644
index 00000000000..ccff3a4d84b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..37229c18098
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_xanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="xanchor",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..a414b28e276
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_y.py
new file mode 100644
index 00000000000..5f0a8a09c2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..77aa9d471b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_yanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="yanchor",
+        parent_name="scattercarpet.marker.colorbar",
+        **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..5ead63c0502
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scattercarpet.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/__init__.py
index 09c678bd5a2..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattercarpet.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattercarpet.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattercarpet.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..2f86eec51d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattercarpet.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..33130973051
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattercarpet.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..ddd9fa8d1c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattercarpet.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/__init__.py
index 7ed7b931cc7..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scattercarpet.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scattercarpet.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scattercarpet.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scattercarpet.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scattercarpet.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..0ffd845263d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scattercarpet.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..a0612696801
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scattercarpet.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..a7ac35ee3b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scattercarpet.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..2e85c2e6edb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scattercarpet.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..1e07f54d3ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scattercarpet.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/__init__.py
index 3878611f770..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scattercarpet.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scattercarpet.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scattercarpet.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..e7b9511c8eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scattercarpet.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..cc3c147206b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scattercarpet.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..2b5cd8c953f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scattercarpet.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/__init__.py
index da8e278cbd1..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattercarpet.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattercarpet.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattercarpet.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..db800ee7772
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattercarpet.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..9015bd8ca80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattercarpet.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..4ef9f398f78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattercarpet.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/__init__.py
index d9cfbf86594..5193d7a59a5 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/__init__.py
@@ -1,71 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="typesrc",
-        parent_name="scattercarpet.marker.gradient",
-        **kwargs
-    ):
-        super(TypesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="scattercarpet.marker.gradient", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scattercarpet.marker.gradient",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattercarpet.marker.gradient", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._typesrc import TypesrcValidator
+    from ._type import TypeValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._typesrc.TypesrcValidator",
+            "._type.TypeValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_color.py
new file mode 100644
index 00000000000..8a43f92a2e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattercarpet.marker.gradient", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_colorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_colorsrc.py
new file mode 100644
index 00000000000..18f24fc4beb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scattercarpet.marker.gradient",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_type.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_type.py
new file mode 100644
index 00000000000..fa197d8771b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_type.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="scattercarpet.marker.gradient", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_typesrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_typesrc.py
new file mode 100644
index 00000000000..af3edcc13a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/gradient/_typesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="typesrc",
+        parent_name="scattercarpet.marker.gradient",
+        **kwargs
+    ):
+        super(TypesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/__init__.py
index 49d120837d8..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/__init__.py
@@ -1,213 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="reversescale",
-        parent_name="scattercarpet.marker.line",
-        **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self,
-        plotly_name="colorscale",
-        parent_name="scattercarpet.marker.line",
-        **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattercarpet.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scattercarpet.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scattercarpet.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..36e0cd6cb4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scattercarpet.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cauto.py
new file mode 100644
index 00000000000..90d0619e825
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmax.py
new file mode 100644
index 00000000000..b5eeb793936
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmid.py
new file mode 100644
index 00000000000..18d8785ef8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmin.py
new file mode 100644
index 00000000000..6a68cad47ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_color.py
new file mode 100644
index 00000000000..b8bfaf14d09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattercarpet.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..7beb60151e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_colorscale.py
new file mode 100644
index 00000000000..d29811f5038
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_colorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self,
+        plotly_name="colorscale",
+        parent_name="scattercarpet.marker.line",
+        **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..9f70842c19f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_reversescale.py
new file mode 100644
index 00000000000..75b3c04f4d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_reversescale.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="reversescale",
+        parent_name="scattercarpet.marker.line",
+        **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_width.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_width.py
new file mode 100644
index 00000000000..052b35c24e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..290dbb0fcee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scattercarpet.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/__init__.py
index ee90aaa3b93..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/__init__.py
@@ -1,46 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scattercarpet.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattercarpet.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/_marker.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/_marker.py
new file mode 100644
index 00000000000..2eaf27bd4fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattercarpet.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/_textfont.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/_textfont.py
new file mode 100644
index 00000000000..0754b245e81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scattercarpet.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/__init__.py
index aa7162752e9..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/__init__.py
@@ -1,52 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattercarpet.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scattercarpet.selected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattercarpet.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_color.py
new file mode 100644
index 00000000000..359b1b467a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattercarpet.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_opacity.py
new file mode 100644
index 00000000000..6ee4f01fa7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scattercarpet.selected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_size.py
new file mode 100644
index 00000000000..35bf017995e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattercarpet.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/__init__.py
index 8d2849f921e..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattercarpet.selected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/_color.py
new file mode 100644
index 00000000000..8d2849f921e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/selected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattercarpet.selected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/stream/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/stream/__init__.py
index ff9443f7a07..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="scattercarpet.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scattercarpet.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scattercarpet/stream/_maxpoints.py
new file mode 100644
index 00000000000..6eb42d85558
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scattercarpet.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/stream/_token.py b/packages/python/plotly/plotly/validators/scattercarpet/stream/_token.py
new file mode 100644
index 00000000000..cedf3d60ea2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="scattercarpet.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/__init__.py
index 5e3bde1e65e..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattercarpet.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattercarpet.textfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scattercarpet.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scattercarpet.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattercarpet.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattercarpet.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_color.py
new file mode 100644
index 00000000000..5c5ed27a2f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattercarpet.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_colorsrc.py
new file mode 100644
index 00000000000..e9545b31e56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattercarpet.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/_family.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_family.py
new file mode 100644
index 00000000000..0b60e02aa2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scattercarpet.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_familysrc.py
new file mode 100644
index 00000000000..5bb098ad736
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scattercarpet.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_size.py
new file mode 100644
index 00000000000..7f0b97b95aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattercarpet.textfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_sizesrc.py
new file mode 100644
index 00000000000..69c47e52ec2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattercarpet.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/__init__.py
index 3a82475c89a..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scattercarpet.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattercarpet.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/_marker.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/_marker.py
new file mode 100644
index 00000000000..7a79e3a40cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattercarpet.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/_textfont.py
new file mode 100644
index 00000000000..2ead9d8b11e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scattercarpet.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/__init__.py
index 9e403e99581..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/__init__.py
@@ -1,58 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattercarpet.unselected.marker",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scattercarpet.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattercarpet.unselected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_color.py
new file mode 100644
index 00000000000..1a0896e08c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattercarpet.unselected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..075a58aa0fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scattercarpet.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_size.py
new file mode 100644
index 00000000000..90e880cb341
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/marker/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattercarpet.unselected.marker",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/__init__.py
index 9cb3ae7a067..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattercarpet.unselected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/_color.py
new file mode 100644
index 00000000000..9cb3ae7a067
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattercarpet/unselected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattercarpet.unselected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/__init__.py
index a3da82f5e69..0af7bf8f211 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/__init__.py
@@ -1,952 +1,106 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scattergeo", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="scattergeo", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattergeo.unselec
-                ted.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scattergeo.unselec
-                ted.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scattergeo", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scattergeo", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scattergeo", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="scattergeo", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scattergeo", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scattergeo", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="scattergeo", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scattergeo", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scattergeo", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scattergeo", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scattergeo", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="scattergeo", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scattergeo", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattergeo.selecte
-                d.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scattergeo.selecte
-                d.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scattergeo", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scattergeo", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scattergeo", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scattergeo", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scattergeo", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scattergeo", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scattergeo.marker.
-                ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            gradient
-                :class:`plotly.graph_objects.scattergeo.marker.
-                Gradient` instance or dict with compatible
-                properties
-            line
-                :class:`plotly.graph_objects.scattergeo.marker.
-                Line` instance or dict with compatible
-                properties
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="lonsrc", parent_name="scattergeo", **kwargs):
-        super(LonsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lon", parent_name="scattergeo", **kwargs):
-        super(LonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="locationssrc", parent_name="scattergeo", **kwargs):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="locations", parent_name="scattergeo", **kwargs):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="locationmode", parent_name="scattergeo", **kwargs):
-        super(LocationmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values", ["ISO-3", "USA-states", "country names", "geojson-id"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scattergeo", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="scattergeo", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="latsrc", parent_name="scattergeo", **kwargs):
-        super(LatsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lat", parent_name="scattergeo", **kwargs):
-        super(LatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scattergeo", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scattergeo", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="scattergeo", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scattergeo", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scattergeo", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="scattergeo", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scattergeo", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="scattergeo", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scattergeo", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["lon", "lat", "location", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GeojsonValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="geojson", parent_name="scattergeo", **kwargs):
-        super(GeojsonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GeoValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="geo", parent_name="scattergeo", **kwargs):
-        super(GeoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "geo"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scattergeo", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scattergeo", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "toself"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FeatureidkeyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="featureidkey", parent_name="scattergeo", **kwargs):
-        super(FeatureidkeyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="scattergeo", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scattergeo", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="scattergeo", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._lonsrc import LonsrcValidator
+    from ._lon import LonValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._locationmode import LocationmodeValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._latsrc import LatsrcValidator
+    from ._lat import LatValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._geojson import GeojsonValidator
+    from ._geo import GeoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._featureidkey import FeatureidkeyValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._lonsrc.LonsrcValidator",
+            "._lon.LonValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._locationmode.LocationmodeValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._latsrc.LatsrcValidator",
+            "._lat.LatValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._geojson.GeojsonValidator",
+            "._geo.GeoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._featureidkey.FeatureidkeyValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_connectgaps.py b/packages/python/plotly/plotly/validators/scattergeo/_connectgaps.py
new file mode 100644
index 00000000000..cecc9e895f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="scattergeo", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_customdata.py b/packages/python/plotly/plotly/validators/scattergeo/_customdata.py
new file mode 100644
index 00000000000..0e1c67cb0f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scattergeo", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_customdatasrc.py b/packages/python/plotly/plotly/validators/scattergeo/_customdatasrc.py
new file mode 100644
index 00000000000..6e688aa6aec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="scattergeo", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_featureidkey.py b/packages/python/plotly/plotly/validators/scattergeo/_featureidkey.py
new file mode 100644
index 00000000000..ce1b28c5520
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_featureidkey.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FeatureidkeyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="featureidkey", parent_name="scattergeo", **kwargs):
+        super(FeatureidkeyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_fill.py b/packages/python/plotly/plotly/validators/scattergeo/_fill.py
new file mode 100644
index 00000000000..e1f169b962e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_fill.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scattergeo", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "toself"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_fillcolor.py b/packages/python/plotly/plotly/validators/scattergeo/_fillcolor.py
new file mode 100644
index 00000000000..a6450f7a7e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scattergeo", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_geo.py b/packages/python/plotly/plotly/validators/scattergeo/_geo.py
new file mode 100644
index 00000000000..0488f297cfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_geo.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class GeoValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="geo", parent_name="scattergeo", **kwargs):
+        super(GeoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "geo"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_geojson.py b/packages/python/plotly/plotly/validators/scattergeo/_geojson.py
new file mode 100644
index 00000000000..c53cff5c870
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_geojson.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class GeojsonValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="geojson", parent_name="scattergeo", **kwargs):
+        super(GeojsonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hoverinfo.py b/packages/python/plotly/plotly/validators/scattergeo/_hoverinfo.py
new file mode 100644
index 00000000000..1943250e29d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scattergeo", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["lon", "lat", "location", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scattergeo/_hoverinfosrc.py
new file mode 100644
index 00000000000..207e634af5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="scattergeo", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hoverlabel.py b/packages/python/plotly/plotly/validators/scattergeo/_hoverlabel.py
new file mode 100644
index 00000000000..3a35aea5851
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scattergeo", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hovertemplate.py b/packages/python/plotly/plotly/validators/scattergeo/_hovertemplate.py
new file mode 100644
index 00000000000..8f1712181ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="scattergeo", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scattergeo/_hovertemplatesrc.py
new file mode 100644
index 00000000000..fcf23ece822
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scattergeo", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hovertext.py b/packages/python/plotly/plotly/validators/scattergeo/_hovertext.py
new file mode 100644
index 00000000000..689770d422a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scattergeo", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scattergeo/_hovertextsrc.py
new file mode 100644
index 00000000000..9535c80edac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="scattergeo", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_ids.py b/packages/python/plotly/plotly/validators/scattergeo/_ids.py
new file mode 100644
index 00000000000..f2cb7118b03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scattergeo", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_idssrc.py b/packages/python/plotly/plotly/validators/scattergeo/_idssrc.py
new file mode 100644
index 00000000000..fb150a87598
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scattergeo", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_lat.py b/packages/python/plotly/plotly/validators/scattergeo/_lat.py
new file mode 100644
index 00000000000..fc3ab97b5f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_lat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lat", parent_name="scattergeo", **kwargs):
+        super(LatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_latsrc.py b/packages/python/plotly/plotly/validators/scattergeo/_latsrc.py
new file mode 100644
index 00000000000..d81a5005dc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_latsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="latsrc", parent_name="scattergeo", **kwargs):
+        super(LatsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_legendgroup.py b/packages/python/plotly/plotly/validators/scattergeo/_legendgroup.py
new file mode 100644
index 00000000000..2917476bd10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="scattergeo", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_line.py b/packages/python/plotly/plotly/validators/scattergeo/_line.py
new file mode 100644
index 00000000000..a803c7a4ff7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scattergeo", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_locationmode.py b/packages/python/plotly/plotly/validators/scattergeo/_locationmode.py
new file mode 100644
index 00000000000..7eb40171e0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_locationmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LocationmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="locationmode", parent_name="scattergeo", **kwargs):
+        super(LocationmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values", ["ISO-3", "USA-states", "country names", "geojson-id"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_locations.py b/packages/python/plotly/plotly/validators/scattergeo/_locations.py
new file mode 100644
index 00000000000..4958e4d6c71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_locations.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="locations", parent_name="scattergeo", **kwargs):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_locationssrc.py b/packages/python/plotly/plotly/validators/scattergeo/_locationssrc.py
new file mode 100644
index 00000000000..ee97715ab7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_locationssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="locationssrc", parent_name="scattergeo", **kwargs):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_lon.py b/packages/python/plotly/plotly/validators/scattergeo/_lon.py
new file mode 100644
index 00000000000..b5ce9c06e26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_lon.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lon", parent_name="scattergeo", **kwargs):
+        super(LonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_lonsrc.py b/packages/python/plotly/plotly/validators/scattergeo/_lonsrc.py
new file mode 100644
index 00000000000..224498137a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_lonsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="lonsrc", parent_name="scattergeo", **kwargs):
+        super(LonsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_marker.py b/packages/python/plotly/plotly/validators/scattergeo/_marker.py
new file mode 100644
index 00000000000..c4ad6613d66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_marker.py
@@ -0,0 +1,144 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scattergeo", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scattergeo.marker.
+                ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            gradient
+                :class:`plotly.graph_objects.scattergeo.marker.
+                Gradient` instance or dict with compatible
+                properties
+            line
+                :class:`plotly.graph_objects.scattergeo.marker.
+                Line` instance or dict with compatible
+                properties
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_meta.py b/packages/python/plotly/plotly/validators/scattergeo/_meta.py
new file mode 100644
index 00000000000..827f16393cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scattergeo", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_metasrc.py b/packages/python/plotly/plotly/validators/scattergeo/_metasrc.py
new file mode 100644
index 00000000000..d9b542b3337
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scattergeo", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_mode.py b/packages/python/plotly/plotly/validators/scattergeo/_mode.py
new file mode 100644
index 00000000000..acfd3bc3cf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scattergeo", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_name.py b/packages/python/plotly/plotly/validators/scattergeo/_name.py
new file mode 100644
index 00000000000..af70138580f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scattergeo", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_opacity.py b/packages/python/plotly/plotly/validators/scattergeo/_opacity.py
new file mode 100644
index 00000000000..07d9b36f83f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scattergeo", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_selected.py b/packages/python/plotly/plotly/validators/scattergeo/_selected.py
new file mode 100644
index 00000000000..b6a2f933147
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scattergeo", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattergeo.selecte
+                d.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scattergeo.selecte
+                d.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_selectedpoints.py b/packages/python/plotly/plotly/validators/scattergeo/_selectedpoints.py
new file mode 100644
index 00000000000..c669a7d2ba0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="scattergeo", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_showlegend.py b/packages/python/plotly/plotly/validators/scattergeo/_showlegend.py
new file mode 100644
index 00000000000..6d0ab8a80aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scattergeo", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_stream.py b/packages/python/plotly/plotly/validators/scattergeo/_stream.py
new file mode 100644
index 00000000000..f8930d5895f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scattergeo", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_text.py b/packages/python/plotly/plotly/validators/scattergeo/_text.py
new file mode 100644
index 00000000000..a2296a683a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scattergeo", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_textfont.py b/packages/python/plotly/plotly/validators/scattergeo/_textfont.py
new file mode 100644
index 00000000000..cbffcfe85c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scattergeo", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_textposition.py b/packages/python/plotly/plotly/validators/scattergeo/_textposition.py
new file mode 100644
index 00000000000..77773054420
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_textposition.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="scattergeo", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scattergeo/_textpositionsrc.py
new file mode 100644
index 00000000000..dc91c9a7c56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scattergeo", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_textsrc.py b/packages/python/plotly/plotly/validators/scattergeo/_textsrc.py
new file mode 100644
index 00000000000..5c787a93924
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scattergeo", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_texttemplate.py b/packages/python/plotly/plotly/validators/scattergeo/_texttemplate.py
new file mode 100644
index 00000000000..fcca5d0592d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="scattergeo", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scattergeo/_texttemplatesrc.py
new file mode 100644
index 00000000000..3d594aff6f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scattergeo", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_uid.py b/packages/python/plotly/plotly/validators/scattergeo/_uid.py
new file mode 100644
index 00000000000..05326c368a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scattergeo", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_uirevision.py b/packages/python/plotly/plotly/validators/scattergeo/_uirevision.py
new file mode 100644
index 00000000000..3be8d976ae7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scattergeo", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_unselected.py b/packages/python/plotly/plotly/validators/scattergeo/_unselected.py
new file mode 100644
index 00000000000..7a0f2f69df2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="scattergeo", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattergeo.unselec
+                ted.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scattergeo.unselec
+                ted.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/_visible.py b/packages/python/plotly/plotly/validators/scattergeo/_visible.py
new file mode 100644
index 00000000000..0565bfe658c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scattergeo", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/__init__.py
index ea1252fe019..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/__init__.py
@@ -1,185 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="scattergeo.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scattergeo.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_align.py
new file mode 100644
index 00000000000..2afbefad83f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..6c4d6fef3fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..42c06d2a2e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..19a26ef251b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..1a0a3765069
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..07b0388f043
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="scattergeo.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_font.py
new file mode 100644
index 00000000000..d8ae78aa15e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..2bf513dfb86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..e3610177bb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="scattergeo.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/__init__.py
index ef225a1d77a..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/__init__.py
@@ -1,103 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattergeo.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattergeo.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="scattergeo.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scattergeo.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergeo.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..dea131af5e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..99bdeb5c3d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergeo.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..19560d6dd9c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scattergeo.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..4479789fc79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="scattergeo.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..dcc82967265
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattergeo.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..bcffad850e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattergeo.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/line/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/line/__init__.py
index c4636fe5cd8..ac8bd485063 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/line/__init__.py
@@ -1,44 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scattergeo.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="scattergeo.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergeo.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._dash.DashValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/line/_color.py b/packages/python/plotly/plotly/validators/scattergeo/line/_color.py
new file mode 100644
index 00000000000..a14fc65082e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergeo.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/line/_dash.py b/packages/python/plotly/plotly/validators/scattergeo/line/_dash.py
new file mode 100644
index 00000000000..4990166fa15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="scattergeo.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/line/_width.py b/packages/python/plotly/plotly/validators/scattergeo/line/_width.py
new file mode 100644
index 00000000000..7b307b00196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scattergeo.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/__init__.py
index ca16d454736..1502d629913 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/__init__.py
@@ -1,984 +1,58 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="scattergeo.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizeref", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scattergeo.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scattergeo.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="gradient", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(GradientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Gradient"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the final color of the gradient fill: the
-                center color for radial, the right for
-                horizontal, or the bottom for vertical.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            type
-                Sets the type of gradient used to fill the
-                markers
-            typesrc
-                Sets the source reference on Chart Studio Cloud
-                for  type .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                geo.marker.colorbar.Tickformatstop` instances
-                or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scattergeo.marker.colorbar.tickformatstopdefa
-                ults), sets the default property values to use
-                for elements of
-                scattergeo.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scattergeo.marker.
-                colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                scattergeo.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scattergeo.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergeo.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattergeo.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scattergeo.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scattergeo.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scattergeo.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="scattergeo.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scattergeo.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._gradient import GradientValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._gradient.GradientValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_autocolorscale.py
new file mode 100644
index 00000000000..0c1025b1431
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_cauto.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_cauto.py
new file mode 100644
index 00000000000..98179051179
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="scattergeo.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_cmax.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_cmax.py
new file mode 100644
index 00000000000..cf3e31ff521
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scattergeo.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_cmid.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_cmid.py
new file mode 100644
index 00000000000..f5d442435a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scattergeo.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_cmin.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_cmin.py
new file mode 100644
index 00000000000..9d7955ef417
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scattergeo.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_color.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_color.py
new file mode 100644
index 00000000000..0c1632ade29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_color.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergeo.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattergeo.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_coloraxis.py
new file mode 100644
index 00000000000..d7bf925fcb4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_colorbar.py
new file mode 100644
index 00000000000..fc03858e095
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                geo.marker.colorbar.Tickformatstop` instances
+                or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scattergeo.marker.colorbar.tickformatstopdefa
+                ults), sets the default property values to use
+                for elements of
+                scattergeo.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scattergeo.marker.
+                colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                scattergeo.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scattergeo.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_colorscale.py
new file mode 100644
index 00000000000..d7ee77cb4e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_colorsrc.py
new file mode 100644
index 00000000000..a4c80a550f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_gradient.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_gradient.py
new file mode 100644
index 00000000000..907cbdfd505
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_gradient.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="gradient", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(GradientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Gradient"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the final color of the gradient fill: the
+                center color for radial, the right for
+                horizontal, or the bottom for vertical.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            type
+                Sets the type of gradient used to fill the
+                markers
+            typesrc
+                Sets the source reference on Chart Studio Cloud
+                for  type .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_line.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_line.py
new file mode 100644
index 00000000000..4f5fad78364
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scattergeo.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_opacity.py
new file mode 100644
index 00000000000..72a5546d1e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_opacitysrc.py
new file mode 100644
index 00000000000..8a41d225b12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_reversescale.py
new file mode 100644
index 00000000000..f7528304fc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_showscale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_showscale.py
new file mode 100644
index 00000000000..2ad553d14c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_size.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_size.py
new file mode 100644
index 00000000000..ed724134f24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scattergeo.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizemin.py
new file mode 100644
index 00000000000..b7ea8fe342b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizemin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizemode.py
new file mode 100644
index 00000000000..d1485ea5894
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizeref.py
new file mode 100644
index 00000000000..babc8639ec2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizeref.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizeref", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizesrc.py
new file mode 100644
index 00000000000..450ee030332
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_symbol.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_symbol.py
new file mode 100644
index 00000000000..3d2a868f77c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="scattergeo.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/_symbolsrc.py
new file mode 100644
index 00000000000..3d39be9f65b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scattergeo.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/__init__.py
index 149d12d65bb..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/__init__.py
@@ -1,831 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scattergeo.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scattergeo.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..16cad59ac68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..92cddc60331
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..87fbc17a800
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..9c0065fd4a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..7d24563ffe0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_len.py
new file mode 100644
index 00000000000..ea787b5e582
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..043cdcfa437
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..9186e2c2519
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..0d7ccad9507
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..798c1bcd91a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..22f0be06273
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..1269e6a067c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..7469913e853
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..c5a99939595
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..9c5fc3bdb78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..d72ea1b346e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..b70de143a68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..08d4988dc27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..78a23fbf184
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..68d94ef0c66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..eebf766df50
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..578a6889aca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..88bda5e02e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..c9859e1c0eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..1da510adde3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..105ee306c4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..1e86dc6e28a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..da1b55dc09f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..166b274ca22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..4ec517d88cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..0e562fc1b3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..cd9e939d7a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..4d4469e6521
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..799ecd9dc5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="scattergeo.marker.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_title.py
new file mode 100644
index 00000000000..4ec548b5195
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_x.py
new file mode 100644
index 00000000000..479e1e3230c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..9fa69df4817
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..9c431cbd6a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_y.py
new file mode 100644
index 00000000000..7c3b4db305b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..67b03ed8e09
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..0695818f373
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scattergeo.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/__init__.py
index 6775886cd13..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattergeo.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattergeo.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattergeo.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..620904ffcac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattergeo.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..fe4d6257338
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattergeo.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..36b0dc7bf11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattergeo.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/__init__.py
index a3d46cd4d95..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scattergeo.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scattergeo.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scattergeo.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scattergeo.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scattergeo.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..634138051fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scattergeo.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..7d44cf4686a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scattergeo.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..9459b94206f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scattergeo.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..fae6091cbc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scattergeo.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..02e68bf9391
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scattergeo.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/__init__.py
index e30f588665d..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scattergeo.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scattergeo.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scattergeo.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..9e7fed28c73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scattergeo.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..c56c17077d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scattergeo.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..7439cbadc26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scattergeo.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/__init__.py
index aaa8390c6b4..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattergeo.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattergeo.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattergeo.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..8e428be433e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattergeo.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..eb83f3f1059
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattergeo.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..2b72fab94b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattergeo.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/__init__.py
index f70226d0a47..5193d7a59a5 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="typesrc", parent_name="scattergeo.marker.gradient", **kwargs
-    ):
-        super(TypesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="scattergeo.marker.gradient", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergeo.marker.gradient", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.marker.gradient", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._typesrc import TypesrcValidator
+    from ._type import TypeValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._typesrc.TypesrcValidator",
+            "._type.TypeValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_color.py b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_color.py
new file mode 100644
index 00000000000..3b5228b4119
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.marker.gradient", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_colorsrc.py
new file mode 100644
index 00000000000..256918fdc0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergeo.marker.gradient", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_type.py b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_type.py
new file mode 100644
index 00000000000..fc9abb2d12c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_type.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="scattergeo.marker.gradient", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_typesrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_typesrc.py
new file mode 100644
index 00000000000..3da80714a5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/gradient/_typesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="typesrc", parent_name="scattergeo.marker.gradient", **kwargs
+    ):
+        super(TypesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/__init__.py
index 4e04ff1dc44..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/__init__.py
@@ -1,207 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattergeo.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scattergeo.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scattergeo.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..1f23099e7df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scattergeo.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cauto.py
new file mode 100644
index 00000000000..ba7d9e4ed98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmax.py
new file mode 100644
index 00000000000..30bb9ed0c5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmid.py
new file mode 100644
index 00000000000..0e9dbd96fa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmin.py
new file mode 100644
index 00000000000..a56978a2cd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_color.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_color.py
new file mode 100644
index 00000000000..b4da8f8023e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattergeo.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..2a0bcad279c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_colorscale.py
new file mode 100644
index 00000000000..289cb46aa4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..0d3139e0d25
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_reversescale.py
new file mode 100644
index 00000000000..1bf3e51fe5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_width.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_width.py
new file mode 100644
index 00000000000..8302e0f5905
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..35db48326f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scattergeo.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/selected/__init__.py
index 4a0658d0847..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/__init__.py
@@ -1,46 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scattergeo.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattergeo.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/_marker.py b/packages/python/plotly/plotly/validators/scattergeo/selected/_marker.py
new file mode 100644
index 00000000000..625761d26d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattergeo.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/_textfont.py b/packages/python/plotly/plotly/validators/scattergeo/selected/_textfont.py
new file mode 100644
index 00000000000..2275aff89d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scattergeo.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/__init__.py
index 966036e37af..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattergeo.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scattergeo.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_color.py
new file mode 100644
index 00000000000..f35d506d899
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_opacity.py
new file mode 100644
index 00000000000..7626a0f2bb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scattergeo.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_size.py
new file mode 100644
index 00000000000..fa7ac2eaabb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattergeo.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/__init__.py
index 16a39e52c66..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.selected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/_color.py
new file mode 100644
index 00000000000..16a39e52c66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/selected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.selected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/stream/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/stream/__init__.py
index 89ed38e4b19..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="scattergeo.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scattergeo.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scattergeo/stream/_maxpoints.py
new file mode 100644
index 00000000000..8fd78143542
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scattergeo.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/stream/_token.py b/packages/python/plotly/plotly/validators/scattergeo/stream/_token.py
new file mode 100644
index 00000000000..87378c5c2cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="scattergeo.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/__init__.py
index cfb15b70f89..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/__init__.py
@@ -1,98 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattergeo.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scattergeo.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scattergeo.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scattergeo.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergeo.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/_color.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/_color.py
new file mode 100644
index 00000000000..ec4041e1c0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/_colorsrc.py
new file mode 100644
index 00000000000..3aae0e29c6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergeo.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/_family.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/_family.py
new file mode 100644
index 00000000000..3e5b1e2c848
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scattergeo.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/_familysrc.py
new file mode 100644
index 00000000000..a2b4a5ec9ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scattergeo.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/_size.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/_size.py
new file mode 100644
index 00000000000..f25abf0c0f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scattergeo.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scattergeo/textfont/_sizesrc.py
new file mode 100644
index 00000000000..e7e115e380a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattergeo.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/__init__.py
index 59904da9065..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scattergeo.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattergeo.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/_marker.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/_marker.py
new file mode 100644
index 00000000000..b40192a08cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattergeo.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/_textfont.py
new file mode 100644
index 00000000000..5ed87594703
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scattergeo.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/__init__.py
index 730ccf5e11f..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/__init__.py
@@ -1,52 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattergeo.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scattergeo.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergeo.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_color.py
new file mode 100644
index 00000000000..02c60a638c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergeo.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..8049661bbac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scattergeo.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_size.py
new file mode 100644
index 00000000000..055387e8557
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattergeo.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/__init__.py
index 90cf56087f3..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattergeo.unselected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/_color.py
new file mode 100644
index 00000000000..90cf56087f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergeo/unselected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattergeo.unselected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/__init__.py b/packages/python/plotly/plotly/validators/scattergl/__init__.py
index 80f0aabdbda..12b66a4e1b9 100644
--- a/packages/python/plotly/plotly/validators/scattergl/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/__init__.py
@@ -1,1173 +1,114 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="scattergl", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="scattergl", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="scattergl", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="scattergl", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="scattergl", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="scattergl", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="scattergl", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="scattergl", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="scattergl", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="scattergl", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scattergl", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="scattergl", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattergl.unselect
-                ed.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scattergl.unselect
-                ed.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scattergl", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scattergl", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scattergl", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="scattergl", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scattergl", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scattergl", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="scattergl", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scattergl", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scattergl", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scattergl", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scattergl", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="scattergl", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scattergl", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattergl.selected
-                .Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scattergl.selected
-                .Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scattergl", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scattergl", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scattergl", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scattergl", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scattergl", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scattergl", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scattergl.marker.C
-                olorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.scattergl.marker.L
-                ine` instance or dict with compatible
-                properties
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scattergl", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the style of the lines.
-            shape
-                Determines the line shape. The values
-                correspond to step-wise line shapes.
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="scattergl", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scattergl", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scattergl", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="scattergl", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scattergl", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scattergl", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="scattergl", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scattergl", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="scattergl", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scattergl", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scattergl", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scattergl", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "none",
-                    "tozeroy",
-                    "tozerox",
-                    "tonexty",
-                    "tonextx",
-                    "toself",
-                    "tonext",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorYValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_y", parent_name="scattergl", **kwargs):
-        super(ErrorYValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ErrorXValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="error_x", parent_name="scattergl", **kwargs):
-        super(ErrorXValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            array
-                Sets the data corresponding the length of each
-                error bar. Values are plotted relative to the
-                underlying data.
-            arrayminus
-                Sets the data corresponding the length of each
-                error bar in the bottom (left) direction for
-                vertical (horizontal) bars Values are plotted
-                relative to the underlying data.
-            arrayminussrc
-                Sets the source reference on Chart Studio Cloud
-                for  arrayminus .
-            arraysrc
-                Sets the source reference on Chart Studio Cloud
-                for  array .
-            color
-                Sets the stoke color of the error bars.
-            copy_ystyle
-
-            symmetric
-                Determines whether or not the error bars have
-                the same length in both direction (top/bottom
-                for vertical bars, left/right for horizontal
-                bars.
-            thickness
-                Sets the thickness (in px) of the error bars.
-            traceref
-
-            tracerefminus
-
-            type
-                Determines the rule used to generate the error
-                bars. If *constant`, the bar lengths are of a
-                constant value. Set this constant in `value`.
-                If "percent", the bar lengths correspond to a
-                percentage of underlying data. Set this
-                percentage in `value`. If "sqrt", the bar
-                lengths correspond to the sqaure of the
-                underlying data. If "data", the bar lengths are
-                set with data set `array`.
-            value
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars.
-            valueminus
-                Sets the value of either the percentage (if
-                `type` is set to "percent") or the constant (if
-                `type` is set to "constant") corresponding to
-                the lengths of the error bars in the bottom
-                (left) direction for vertical (horizontal) bars
-            visible
-                Determines whether or not this set of error
-                bars is visible.
-            width
-                Sets the width (in px) of the cross-bar at both
-                ends of the error bars.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="scattergl", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="scattergl", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="scattergl", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scattergl", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="scattergl", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._error_y import Error_YValidator
+    from ._error_x import Error_XValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._error_y.Error_YValidator",
+            "._error_x.Error_XValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_connectgaps.py b/packages/python/plotly/plotly/validators/scattergl/_connectgaps.py
new file mode 100644
index 00000000000..a7b6e0a0475
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="scattergl", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_customdata.py b/packages/python/plotly/plotly/validators/scattergl/_customdata.py
new file mode 100644
index 00000000000..c169d03d56f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scattergl", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_customdatasrc.py b/packages/python/plotly/plotly/validators/scattergl/_customdatasrc.py
new file mode 100644
index 00000000000..be3e362c75c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="scattergl", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_dx.py b/packages/python/plotly/plotly/validators/scattergl/_dx.py
new file mode 100644
index 00000000000..916f6dccef3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_dx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="scattergl", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_dy.py b/packages/python/plotly/plotly/validators/scattergl/_dy.py
new file mode 100644
index 00000000000..689e8955394
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_dy.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="scattergl", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_error_x.py b/packages/python/plotly/plotly/validators/scattergl/_error_x.py
new file mode 100644
index 00000000000..5f84be2fc2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_error_x.py
@@ -0,0 +1,73 @@
+import _plotly_utils.basevalidators
+
+
+class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_x", parent_name="scattergl", **kwargs):
+        super(Error_XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorX"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            copy_ystyle
+
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_error_y.py b/packages/python/plotly/plotly/validators/scattergl/_error_y.py
new file mode 100644
index 00000000000..0117cf80237
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_error_y.py
@@ -0,0 +1,71 @@
+import _plotly_utils.basevalidators
+
+
+class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="error_y", parent_name="scattergl", **kwargs):
+        super(Error_YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ErrorY"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            array
+                Sets the data corresponding the length of each
+                error bar. Values are plotted relative to the
+                underlying data.
+            arrayminus
+                Sets the data corresponding the length of each
+                error bar in the bottom (left) direction for
+                vertical (horizontal) bars Values are plotted
+                relative to the underlying data.
+            arrayminussrc
+                Sets the source reference on Chart Studio Cloud
+                for  arrayminus .
+            arraysrc
+                Sets the source reference on Chart Studio Cloud
+                for  array .
+            color
+                Sets the stoke color of the error bars.
+            symmetric
+                Determines whether or not the error bars have
+                the same length in both direction (top/bottom
+                for vertical bars, left/right for horizontal
+                bars.
+            thickness
+                Sets the thickness (in px) of the error bars.
+            traceref
+
+            tracerefminus
+
+            type
+                Determines the rule used to generate the error
+                bars. If *constant`, the bar lengths are of a
+                constant value. Set this constant in `value`.
+                If "percent", the bar lengths correspond to a
+                percentage of underlying data. Set this
+                percentage in `value`. If "sqrt", the bar
+                lengths correspond to the sqaure of the
+                underlying data. If "data", the bar lengths are
+                set with data set `array`.
+            value
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars.
+            valueminus
+                Sets the value of either the percentage (if
+                `type` is set to "percent") or the constant (if
+                `type` is set to "constant") corresponding to
+                the lengths of the error bars in the bottom
+                (left) direction for vertical (horizontal) bars
+            visible
+                Determines whether or not this set of error
+                bars is visible.
+            width
+                Sets the width (in px) of the cross-bar at both
+                ends of the error bars.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_fill.py b/packages/python/plotly/plotly/validators/scattergl/_fill.py
new file mode 100644
index 00000000000..6b3849af4da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_fill.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scattergl", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "none",
+                    "tozeroy",
+                    "tozerox",
+                    "tonexty",
+                    "tonextx",
+                    "toself",
+                    "tonext",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_fillcolor.py b/packages/python/plotly/plotly/validators/scattergl/_fillcolor.py
new file mode 100644
index 00000000000..75b2f5bfd58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scattergl", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hoverinfo.py b/packages/python/plotly/plotly/validators/scattergl/_hoverinfo.py
new file mode 100644
index 00000000000..b521aba5c7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scattergl", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scattergl/_hoverinfosrc.py
new file mode 100644
index 00000000000..a05766e9c5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="scattergl", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hoverlabel.py b/packages/python/plotly/plotly/validators/scattergl/_hoverlabel.py
new file mode 100644
index 00000000000..1a5d0137167
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scattergl", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hovertemplate.py b/packages/python/plotly/plotly/validators/scattergl/_hovertemplate.py
new file mode 100644
index 00000000000..26e7c231f4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="scattergl", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scattergl/_hovertemplatesrc.py
new file mode 100644
index 00000000000..583c6b5f687
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scattergl", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hovertext.py b/packages/python/plotly/plotly/validators/scattergl/_hovertext.py
new file mode 100644
index 00000000000..bd5d43a371e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scattergl", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scattergl/_hovertextsrc.py
new file mode 100644
index 00000000000..7ad143e3b01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="scattergl", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_ids.py b/packages/python/plotly/plotly/validators/scattergl/_ids.py
new file mode 100644
index 00000000000..3ef7064a832
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scattergl", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_idssrc.py b/packages/python/plotly/plotly/validators/scattergl/_idssrc.py
new file mode 100644
index 00000000000..366819a3892
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scattergl", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_legendgroup.py b/packages/python/plotly/plotly/validators/scattergl/_legendgroup.py
new file mode 100644
index 00000000000..0c140ff68b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="scattergl", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_line.py b/packages/python/plotly/plotly/validators/scattergl/_line.py
new file mode 100644
index 00000000000..cebf81273ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scattergl", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the style of the lines.
+            shape
+                Determines the line shape. The values
+                correspond to step-wise line shapes.
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_marker.py b/packages/python/plotly/plotly/validators/scattergl/_marker.py
new file mode 100644
index 00000000000..1799982f36e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_marker.py
@@ -0,0 +1,140 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scattergl", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scattergl.marker.C
+                olorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.scattergl.marker.L
+                ine` instance or dict with compatible
+                properties
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_meta.py b/packages/python/plotly/plotly/validators/scattergl/_meta.py
new file mode 100644
index 00000000000..821ffd572d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scattergl", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_metasrc.py b/packages/python/plotly/plotly/validators/scattergl/_metasrc.py
new file mode 100644
index 00000000000..4ecf38a5ff9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scattergl", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_mode.py b/packages/python/plotly/plotly/validators/scattergl/_mode.py
new file mode 100644
index 00000000000..5423fe72359
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scattergl", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_name.py b/packages/python/plotly/plotly/validators/scattergl/_name.py
new file mode 100644
index 00000000000..b29f23d72ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scattergl", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_opacity.py b/packages/python/plotly/plotly/validators/scattergl/_opacity.py
new file mode 100644
index 00000000000..43f1f135046
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scattergl", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_selected.py b/packages/python/plotly/plotly/validators/scattergl/_selected.py
new file mode 100644
index 00000000000..885f71fcb64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scattergl", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattergl.selected
+                .Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scattergl.selected
+                .Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_selectedpoints.py b/packages/python/plotly/plotly/validators/scattergl/_selectedpoints.py
new file mode 100644
index 00000000000..91f2ddae4a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="scattergl", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_showlegend.py b/packages/python/plotly/plotly/validators/scattergl/_showlegend.py
new file mode 100644
index 00000000000..31ecff3c3de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scattergl", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_stream.py b/packages/python/plotly/plotly/validators/scattergl/_stream.py
new file mode 100644
index 00000000000..5f2f37cf19e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scattergl", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_text.py b/packages/python/plotly/plotly/validators/scattergl/_text.py
new file mode 100644
index 00000000000..8af9e1231ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scattergl", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_textfont.py b/packages/python/plotly/plotly/validators/scattergl/_textfont.py
new file mode 100644
index 00000000000..9f7e3a057a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scattergl", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_textposition.py b/packages/python/plotly/plotly/validators/scattergl/_textposition.py
new file mode 100644
index 00000000000..77052449f15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_textposition.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="scattergl", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scattergl/_textpositionsrc.py
new file mode 100644
index 00000000000..1133d357c4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scattergl", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_textsrc.py b/packages/python/plotly/plotly/validators/scattergl/_textsrc.py
new file mode 100644
index 00000000000..acf8d9621a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scattergl", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_texttemplate.py b/packages/python/plotly/plotly/validators/scattergl/_texttemplate.py
new file mode 100644
index 00000000000..89705409a4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="scattergl", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scattergl/_texttemplatesrc.py
new file mode 100644
index 00000000000..9f7ba903c43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scattergl", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_uid.py b/packages/python/plotly/plotly/validators/scattergl/_uid.py
new file mode 100644
index 00000000000..14b2c06e54b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scattergl", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_uirevision.py b/packages/python/plotly/plotly/validators/scattergl/_uirevision.py
new file mode 100644
index 00000000000..ba053989f0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scattergl", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_unselected.py b/packages/python/plotly/plotly/validators/scattergl/_unselected.py
new file mode 100644
index 00000000000..02eb050c44e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="scattergl", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattergl.unselect
+                ed.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scattergl.unselect
+                ed.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_visible.py b/packages/python/plotly/plotly/validators/scattergl/_visible.py
new file mode 100644
index 00000000000..370312ae7f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scattergl", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_x.py b/packages/python/plotly/plotly/validators/scattergl/_x.py
new file mode 100644
index 00000000000..d508190aa40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="scattergl", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_x0.py b/packages/python/plotly/plotly/validators/scattergl/_x0.py
new file mode 100644
index 00000000000..9afd3d79465
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="scattergl", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_xaxis.py b/packages/python/plotly/plotly/validators/scattergl/_xaxis.py
new file mode 100644
index 00000000000..033ed341967
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="scattergl", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_xcalendar.py b/packages/python/plotly/plotly/validators/scattergl/_xcalendar.py
new file mode 100644
index 00000000000..49620aacc4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="scattergl", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_xsrc.py b/packages/python/plotly/plotly/validators/scattergl/_xsrc.py
new file mode 100644
index 00000000000..edf461828c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="scattergl", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_y.py b/packages/python/plotly/plotly/validators/scattergl/_y.py
new file mode 100644
index 00000000000..51bcdee36c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="scattergl", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_y0.py b/packages/python/plotly/plotly/validators/scattergl/_y0.py
new file mode 100644
index 00000000000..27d742e6c4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="scattergl", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_yaxis.py b/packages/python/plotly/plotly/validators/scattergl/_yaxis.py
new file mode 100644
index 00000000000..33eaf83e5e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="scattergl", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_ycalendar.py b/packages/python/plotly/plotly/validators/scattergl/_ycalendar.py
new file mode 100644
index 00000000000..c4b293868c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="scattergl", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/_ysrc.py b/packages/python/plotly/plotly/validators/scattergl/_ysrc.py
new file mode 100644
index 00000000000..93678c8ed3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="scattergl", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/__init__.py b/packages/python/plotly/plotly/validators/scattergl/error_x/__init__.py
index 2bfdf925cec..e4688233f0f 100644
--- a/packages/python/plotly/plotly/validators/scattergl/error_x/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/__init__.py
@@ -1,235 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scattergl.error_x", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scattergl.error_x", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scattergl.error_x", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CopyYstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="copy_ystyle", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(CopyYstyleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergl.error_x", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scattergl.error_x", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scattergl.error_x", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._copy_ystyle import Copy_YstyleValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._copy_ystyle.Copy_YstyleValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_array.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_array.py
new file mode 100644
index 00000000000..a48d385b308
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scattergl.error_x", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_arrayminus.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_arrayminus.py
new file mode 100644
index 00000000000..01d8a44f99f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_arrayminussrc.py
new file mode 100644
index 00000000000..bc55011e842
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_arraysrc.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_arraysrc.py
new file mode 100644
index 00000000000..ae2c9aca4cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_color.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_color.py
new file mode 100644
index 00000000000..fc742e97bd7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergl.error_x", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_copy_ystyle.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_copy_ystyle.py
new file mode 100644
index 00000000000..2a3187409a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_copy_ystyle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class Copy_YstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="copy_ystyle", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(Copy_YstyleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_symmetric.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_symmetric.py
new file mode 100644
index 00000000000..4dba1ed16fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_thickness.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_thickness.py
new file mode 100644
index 00000000000..3fdab16a6e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_traceref.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_traceref.py
new file mode 100644
index 00000000000..146b7e57194
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_tracerefminus.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_tracerefminus.py
new file mode 100644
index 00000000000..8c9952dc5ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_type.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_type.py
new file mode 100644
index 00000000000..9538a40b4ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scattergl.error_x", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_value.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_value.py
new file mode 100644
index 00000000000..5528178d235
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scattergl.error_x", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_valueminus.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_valueminus.py
new file mode 100644
index 00000000000..f5fd42bfd88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_visible.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_visible.py
new file mode 100644
index 00000000000..2c429c9f36e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="scattergl.error_x", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_x/_width.py b/packages/python/plotly/plotly/validators/scattergl/error_x/_width.py
new file mode 100644
index 00000000000..2f0c4baad7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_x/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scattergl.error_x", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/__init__.py b/packages/python/plotly/plotly/validators/scattergl/error_y/__init__.py
index 6a595b193a3..0a508f0c655 100644
--- a/packages/python/plotly/plotly/validators/scattergl/error_y/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/__init__.py
@@ -1,219 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scattergl.error_y", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="valueminus", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(ValueminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="value", parent_name="scattergl.error_y", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="type", parent_name="scattergl.error_y", **kwargs):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="tracerefminus", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(TracerefminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="traceref", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(TracerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="symmetric", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(SymmetricValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergl.error_y", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arraysrc", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(ArraysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="arrayminussrc", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(ArrayminussrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="arrayminus", parent_name="scattergl.error_y", **kwargs
-    ):
-        super(ArrayminusValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="array", parent_name="scattergl.error_y", **kwargs):
-        super(ArrayValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._valueminus import ValueminusValidator
+    from ._value import ValueValidator
+    from ._type import TypeValidator
+    from ._tracerefminus import TracerefminusValidator
+    from ._traceref import TracerefValidator
+    from ._thickness import ThicknessValidator
+    from ._symmetric import SymmetricValidator
+    from ._color import ColorValidator
+    from ._arraysrc import ArraysrcValidator
+    from ._arrayminussrc import ArrayminussrcValidator
+    from ._arrayminus import ArrayminusValidator
+    from ._array import ArrayValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._valueminus.ValueminusValidator",
+            "._value.ValueValidator",
+            "._type.TypeValidator",
+            "._tracerefminus.TracerefminusValidator",
+            "._traceref.TracerefValidator",
+            "._thickness.ThicknessValidator",
+            "._symmetric.SymmetricValidator",
+            "._color.ColorValidator",
+            "._arraysrc.ArraysrcValidator",
+            "._arrayminussrc.ArrayminussrcValidator",
+            "._arrayminus.ArrayminusValidator",
+            "._array.ArrayValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_array.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_array.py
new file mode 100644
index 00000000000..a76f3488c15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_array.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="array", parent_name="scattergl.error_y", **kwargs):
+        super(ArrayValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_arrayminus.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_arrayminus.py
new file mode 100644
index 00000000000..7f004a8270f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_arrayminus.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="arrayminus", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(ArrayminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_arrayminussrc.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_arrayminussrc.py
new file mode 100644
index 00000000000..34ea482e7a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_arrayminussrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arrayminussrc", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(ArrayminussrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_arraysrc.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_arraysrc.py
new file mode 100644
index 00000000000..6af78d2b716
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_arraysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="arraysrc", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(ArraysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_color.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_color.py
new file mode 100644
index 00000000000..04e6872d563
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergl.error_y", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_symmetric.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_symmetric.py
new file mode 100644
index 00000000000..6274865b156
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_symmetric.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="symmetric", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(SymmetricValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_thickness.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_thickness.py
new file mode 100644
index 00000000000..f68ab4829dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_traceref.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_traceref.py
new file mode 100644
index 00000000000..ef2d0478a5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_traceref.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="traceref", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(TracerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_tracerefminus.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_tracerefminus.py
new file mode 100644
index 00000000000..d3cf4ccc463
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_tracerefminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="tracerefminus", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(TracerefminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_type.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_type.py
new file mode 100644
index 00000000000..fb43d963c27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_type.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="type", parent_name="scattergl.error_y", **kwargs):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_value.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_value.py
new file mode 100644
index 00000000000..884e353538e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_value.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="value", parent_name="scattergl.error_y", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_valueminus.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_valueminus.py
new file mode 100644
index 00000000000..ba1a7fa7a2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_valueminus.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="valueminus", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(ValueminusValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_visible.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_visible.py
new file mode 100644
index 00000000000..52da47ea2a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="scattergl.error_y", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/error_y/_width.py b/packages/python/plotly/plotly/validators/scattergl/error_y/_width.py
new file mode 100644
index 00000000000..948c4bde790
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/error_y/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scattergl.error_y", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/__init__.py
index 64da3b993ae..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/__init__.py
@@ -1,182 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scattergl.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_align.py
new file mode 100644
index 00000000000..33f1275ffdd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..3b1c8d8c071
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..ccebe0dc8f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..7ac0f0b67dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..1889abea911
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..edff4703fee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_font.py
new file mode 100644
index 00000000000..6408bfbec0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..a3880eb7d6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3e409dd0b98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="scattergl.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/__init__.py
index ca8a85c50f5..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattergl.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattergl.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scattergl.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scattergl.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergl.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergl.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..fb18694ed79
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergl.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..7d1f0110942
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergl.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..e965b8e3fc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scattergl.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..7bf4315987d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scattergl.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..d68058f65c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattergl.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..28a1fa2b7c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattergl.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/line/__init__.py b/packages/python/plotly/plotly/validators/scattergl/line/__init__.py
index e840019812f..a5e1facdfc3 100644
--- a/packages/python/plotly/plotly/validators/scattergl/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/line/__init__.py
@@ -1,59 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scattergl.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="shape", parent_name="scattergl.line", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["linear", "hv", "vh", "hvh", "vhv"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="dash", parent_name="scattergl.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergl.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._shape import ShapeValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._shape.ShapeValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/line/_color.py b/packages/python/plotly/plotly/validators/scattergl/line/_color.py
new file mode 100644
index 00000000000..12b7ffe73ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergl.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/line/_dash.py b/packages/python/plotly/plotly/validators/scattergl/line/_dash.py
new file mode 100644
index 00000000000..9c970bf0bb9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="dash", parent_name="scattergl.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/line/_shape.py b/packages/python/plotly/plotly/validators/scattergl/line/_shape.py
new file mode 100644
index 00000000000..a82da0f1b02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/line/_shape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="shape", parent_name="scattergl.line", **kwargs):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["linear", "hv", "vh", "hvh", "vhv"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/line/_width.py b/packages/python/plotly/plotly/validators/scattergl/line/_width.py
new file mode 100644
index 00000000000..29a1b729c9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scattergl.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/__init__.py
index eaf36fcceed..33bd66663fd 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/__init__.py
@@ -1,943 +1,56 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scattergl.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="scattergl.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="scattergl.marker", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizeref", parent_name="scattergl.marker", **kwargs):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scattergl.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizemin", parent_name="scattergl.marker", **kwargs):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scattergl.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scattergl.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scattergl.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scattergl.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scattergl.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scattergl.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergl.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scattergl.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scattergl.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                gl.marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scattergl.marker.colorbar.tickformatstopdefau
-                lts), sets the default property values to use
-                for elements of
-                scattergl.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scattergl.marker.c
-                olorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                scattergl.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scattergl.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattergl.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergl.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattergl.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scattergl.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scattergl.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scattergl.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="scattergl.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scattergl.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattergl/marker/_autocolorscale.py
new file mode 100644
index 00000000000..ffaa5ec3319
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scattergl.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_cauto.py b/packages/python/plotly/plotly/validators/scattergl/marker/_cauto.py
new file mode 100644
index 00000000000..8187dfb6d49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="scattergl.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_cmax.py b/packages/python/plotly/plotly/validators/scattergl/marker/_cmax.py
new file mode 100644
index 00000000000..935a078b41c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scattergl.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_cmid.py b/packages/python/plotly/plotly/validators/scattergl/marker/_cmid.py
new file mode 100644
index 00000000000..95f5ca7e0b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scattergl.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_cmin.py b/packages/python/plotly/plotly/validators/scattergl/marker/_cmin.py
new file mode 100644
index 00000000000..0eb3904d1b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scattergl.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_color.py b/packages/python/plotly/plotly/validators/scattergl/marker/_color.py
new file mode 100644
index 00000000000..f5ad3baa159
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_color.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergl.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattergl.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scattergl/marker/_coloraxis.py
new file mode 100644
index 00000000000..2578a949532
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattergl.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scattergl/marker/_colorbar.py
new file mode 100644
index 00000000000..d667221e721
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scattergl.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                gl.marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scattergl.marker.colorbar.tickformatstopdefau
+                lts), sets the default property values to use
+                for elements of
+                scattergl.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scattergl.marker.c
+                olorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                scattergl.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scattergl.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scattergl/marker/_colorscale.py
new file mode 100644
index 00000000000..6d262eec0bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scattergl.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/_colorsrc.py
new file mode 100644
index 00000000000..5f0daac7db4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergl.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_line.py b/packages/python/plotly/plotly/validators/scattergl/marker/_line.py
new file mode 100644
index 00000000000..243b51f6e77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scattergl.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattergl/marker/_opacity.py
new file mode 100644
index 00000000000..aa59b4bb134
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scattergl.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/_opacitysrc.py
new file mode 100644
index 00000000000..1950f8e9298
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scattergl.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scattergl/marker/_reversescale.py
new file mode 100644
index 00000000000..0909291519c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scattergl.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_showscale.py b/packages/python/plotly/plotly/validators/scattergl/marker/_showscale.py
new file mode 100644
index 00000000000..ae9bad275fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scattergl.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_size.py b/packages/python/plotly/plotly/validators/scattergl/marker/_size.py
new file mode 100644
index 00000000000..9b181bfc675
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scattergl.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scattergl/marker/_sizemin.py
new file mode 100644
index 00000000000..46c0e38217f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_sizemin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizemin", parent_name="scattergl.marker", **kwargs):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scattergl/marker/_sizemode.py
new file mode 100644
index 00000000000..0b501f687b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scattergl.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scattergl/marker/_sizeref.py
new file mode 100644
index 00000000000..9d5701399f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_sizeref.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizeref", parent_name="scattergl.marker", **kwargs):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/_sizesrc.py
new file mode 100644
index 00000000000..3f7c89639da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="scattergl.marker", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_symbol.py b/packages/python/plotly/plotly/validators/scattergl/marker/_symbol.py
new file mode 100644
index 00000000000..8f637e92fb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="scattergl.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/_symbolsrc.py
new file mode 100644
index 00000000000..0a2980f6bf1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scattergl.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/__init__.py
index f5a20edae0e..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/__init__.py
@@ -1,819 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scattergl.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scattergl.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..d4687bf5fa2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..a2df91b36f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..b169fd0121d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..2ff0b10643f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..24a71de57cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_len.py
new file mode 100644
index 00000000000..43a7b652e1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..ca4165fd1b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..cda7861e353
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..7a98c3a1d37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..9b5550a2a0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..01c5dc11356
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..b742947ce42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..f2aa7ae133a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..4001f280ffc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..61c485a1b38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..967a8e32d15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..cfc31663055
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..82c7bd0d682
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..53d90aa40aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..30542ba2db7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..8013afdf7ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..4d20d597682
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..7caf6a935cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..f2bbbbf449a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..32d7120318d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..2ba4e1f7a51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..84666601311
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..baa3a17f237
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..86d2adb2f8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..4b971ad735d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..d77a510f34e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..7cfd00f6142
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..b9bca8f553b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scattergl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..d4f89832e22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_title.py
new file mode 100644
index 00000000000..d2222460630
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_x.py
new file mode 100644
index 00000000000..a4540473b6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..c2147ec7d39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..60d02eb1701
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_y.py
new file mode 100644
index 00000000000..3ec8f0aa988
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..81c90ce781b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..b5c66d9b18e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scattergl.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/__init__.py
index 1afd69c5779..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattergl.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattergl.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattergl.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..241df75a7b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattergl.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..6c5fb52ec96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattergl.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..ab7db65f0a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattergl.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/__init__.py
index 03741d76a10..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scattergl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scattergl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scattergl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scattergl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scattergl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..644de2e3993
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scattergl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..aeed7728a38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scattergl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..49efabf4e19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scattergl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..994e2df4255
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scattergl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..100b02285d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scattergl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/__init__.py
index e08b42c5d7e..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scattergl.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scattergl.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scattergl.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..073b616cbb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scattergl.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..6c390294d2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scattergl.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..a4d6b4bcb71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scattergl.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/__init__.py
index ac8f6fc5782..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattergl.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattergl.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattergl.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..aec67af87dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattergl.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..94332172341
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattergl.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..6479df8df52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattergl.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/__init__.py
index d0dbee7862d..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scattergl/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/__init__.py
@@ -1,207 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattergl.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scattergl.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scattergl.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..7cec8394aee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scattergl.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cauto.py
new file mode 100644
index 00000000000..6748836b78c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmax.py
new file mode 100644
index 00000000000..85bb9ec7c92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmid.py
new file mode 100644
index 00000000000..1216902536a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmin.py
new file mode 100644
index 00000000000..a082bde26fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_color.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_color.py
new file mode 100644
index 00000000000..3b050ce2685
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattergl.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..9fa7430261c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorscale.py
new file mode 100644
index 00000000000..bc58acbc079
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..965b0d8dfe1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_reversescale.py
new file mode 100644
index 00000000000..611c8573ab6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_width.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_width.py
new file mode 100644
index 00000000000..e8234988cd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scattergl/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..2fed10acb8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scattergl.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/__init__.py b/packages/python/plotly/plotly/validators/scattergl/selected/__init__.py
index 678b1e505a3..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scattergl/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/__init__.py
@@ -1,46 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scattergl.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattergl.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/_marker.py b/packages/python/plotly/plotly/validators/scattergl/selected/_marker.py
new file mode 100644
index 00000000000..3a2615315ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattergl.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/_textfont.py b/packages/python/plotly/plotly/validators/scattergl/selected/_textfont.py
new file mode 100644
index 00000000000..1d3ae2e500b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scattergl.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattergl/selected/marker/__init__.py
index a46badceca9..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattergl/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattergl.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scattergl.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergl.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scattergl/selected/marker/_color.py
new file mode 100644
index 00000000000..95e3de71fe6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergl.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattergl/selected/marker/_opacity.py
new file mode 100644
index 00000000000..674d1001d2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scattergl.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scattergl/selected/marker/_size.py
new file mode 100644
index 00000000000..08adc91a533
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattergl.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattergl/selected/textfont/__init__.py
index 34e32d5ccc3..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scattergl/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergl.selected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scattergl/selected/textfont/_color.py
new file mode 100644
index 00000000000..34e32d5ccc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/selected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergl.selected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/stream/__init__.py b/packages/python/plotly/plotly/validators/scattergl/stream/__init__.py
index b29f6cb3ba0..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scattergl/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="scattergl.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scattergl.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scattergl/stream/_maxpoints.py
new file mode 100644
index 00000000000..b13f46f3ed3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scattergl.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/stream/_token.py b/packages/python/plotly/plotly/validators/scattergl/stream/_token.py
new file mode 100644
index 00000000000..a4607a08eaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="scattergl.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattergl/textfont/__init__.py
index f506c244071..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattergl/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/__init__.py
@@ -1,96 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattergl.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scattergl.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scattergl.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scattergl.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattergl.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattergl.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/_color.py b/packages/python/plotly/plotly/validators/scattergl/textfont/_color.py
new file mode 100644
index 00000000000..339878d6b4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattergl.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scattergl/textfont/_colorsrc.py
new file mode 100644
index 00000000000..48a36a5fb08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattergl.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/_family.py b/packages/python/plotly/plotly/validators/scattergl/textfont/_family.py
new file mode 100644
index 00000000000..e8a0ff03e4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scattergl.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scattergl/textfont/_familysrc.py
new file mode 100644
index 00000000000..9ed2a5f479f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scattergl.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/_size.py b/packages/python/plotly/plotly/validators/scattergl/textfont/_size.py
new file mode 100644
index 00000000000..71dfda9e1b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scattergl.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scattergl/textfont/_sizesrc.py
new file mode 100644
index 00000000000..a50484aa2c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattergl.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/__init__.py b/packages/python/plotly/plotly/validators/scattergl/unselected/__init__.py
index 9d9734cc61c..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scattergl/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scattergl.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattergl.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/_marker.py b/packages/python/plotly/plotly/validators/scattergl/unselected/_marker.py
new file mode 100644
index 00000000000..92e6e2a7291
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattergl.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scattergl/unselected/_textfont.py
new file mode 100644
index 00000000000..4e65d2496e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scattergl.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/__init__.py
index 80fe998c1d8..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattergl/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattergl.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scattergl.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergl.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_color.py
new file mode 100644
index 00000000000..191f9edaa47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergl.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..09ce466eeb3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scattergl.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_size.py
new file mode 100644
index 00000000000..f4958daf431
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattergl.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/__init__.py
index a859ce9ce4f..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattergl.unselected.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/_color.py
new file mode 100644
index 00000000000..a859ce9ce4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattergl/unselected/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattergl.unselected.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/__init__.py
index d057b5e7b4f..333b92b5cbc 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/__init__.py
@@ -1,861 +1,96 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scattermapbox", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="scattermapbox", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattermapbox.unse
-                lected.Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scattermapbox", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scattermapbox", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scattermapbox", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="texttemplate", parent_name="scattermapbox", **kwargs
-    ):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scattermapbox", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="textposition", parent_name="scattermapbox", **kwargs
-    ):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scattermapbox", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scattermapbox", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="scattermapbox", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "mapbox"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scattermapbox", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scattermapbox", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="scattermapbox", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scattermapbox", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scattermapbox.sele
-                cted.Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scattermapbox", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scattermapbox", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scattermapbox", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scattermapbox", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scattermapbox", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scattermapbox", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scattermapbox.mark
-                er.ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol. Full list:
-                https://www.mapbox.com/maki-icons/ Note that
-                the array `marker.color` and `marker.size` are
-                only available for "circle" symbols.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="lonsrc", parent_name="scattermapbox", **kwargs):
-        super(LonsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lon", parent_name="scattermapbox", **kwargs):
-        super(LonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scattermapbox", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="scattermapbox", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="latsrc", parent_name="scattermapbox", **kwargs):
-        super(LatsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LatValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="lat", parent_name="scattermapbox", **kwargs):
-        super(LatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scattermapbox", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scattermapbox", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="scattermapbox", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scattermapbox", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scattermapbox", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="scattermapbox", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scattermapbox", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="scattermapbox", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scattermapbox", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["lon", "lat", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scattermapbox", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scattermapbox", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "toself"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="scattermapbox", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scattermapbox", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="connectgaps", parent_name="scattermapbox", **kwargs
-    ):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BelowValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="below", parent_name="scattermapbox", **kwargs):
-        super(BelowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._lonsrc import LonsrcValidator
+    from ._lon import LonValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._latsrc import LatsrcValidator
+    from ._lat import LatValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._below import BelowValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._lonsrc.LonsrcValidator",
+            "._lon.LonValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._latsrc.LatsrcValidator",
+            "._lat.LatValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._below.BelowValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_below.py b/packages/python/plotly/plotly/validators/scattermapbox/_below.py
new file mode 100644
index 00000000000..d9c02944515
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_below.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BelowValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="below", parent_name="scattermapbox", **kwargs):
+        super(BelowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_connectgaps.py b/packages/python/plotly/plotly/validators/scattermapbox/_connectgaps.py
new file mode 100644
index 00000000000..f706680c0d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_connectgaps.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="connectgaps", parent_name="scattermapbox", **kwargs
+    ):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_customdata.py b/packages/python/plotly/plotly/validators/scattermapbox/_customdata.py
new file mode 100644
index 00000000000..46c02f02457
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scattermapbox", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_customdatasrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_customdatasrc.py
new file mode 100644
index 00000000000..fff626dc4a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="scattermapbox", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_fill.py b/packages/python/plotly/plotly/validators/scattermapbox/_fill.py
new file mode 100644
index 00000000000..b75d4cbcdd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_fill.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scattermapbox", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "toself"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_fillcolor.py b/packages/python/plotly/plotly/validators/scattermapbox/_fillcolor.py
new file mode 100644
index 00000000000..053f68bc053
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scattermapbox", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hoverinfo.py b/packages/python/plotly/plotly/validators/scattermapbox/_hoverinfo.py
new file mode 100644
index 00000000000..646e017b8d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scattermapbox", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["lon", "lat", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_hoverinfosrc.py
new file mode 100644
index 00000000000..9d61b73cf88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="scattermapbox", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hoverlabel.py b/packages/python/plotly/plotly/validators/scattermapbox/_hoverlabel.py
new file mode 100644
index 00000000000..15863a3a13b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scattermapbox", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hovertemplate.py b/packages/python/plotly/plotly/validators/scattermapbox/_hovertemplate.py
new file mode 100644
index 00000000000..00e03194d70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="scattermapbox", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_hovertemplatesrc.py
new file mode 100644
index 00000000000..607039594e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scattermapbox", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hovertext.py b/packages/python/plotly/plotly/validators/scattermapbox/_hovertext.py
new file mode 100644
index 00000000000..beb042f7d4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scattermapbox", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_hovertextsrc.py
new file mode 100644
index 00000000000..3959b193981
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="scattermapbox", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_ids.py b/packages/python/plotly/plotly/validators/scattermapbox/_ids.py
new file mode 100644
index 00000000000..702decce073
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scattermapbox", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_idssrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_idssrc.py
new file mode 100644
index 00000000000..2a807997877
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scattermapbox", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_lat.py b/packages/python/plotly/plotly/validators/scattermapbox/_lat.py
new file mode 100644
index 00000000000..0f3884946d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_lat.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lat", parent_name="scattermapbox", **kwargs):
+        super(LatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_latsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_latsrc.py
new file mode 100644
index 00000000000..841a7eece39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_latsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="latsrc", parent_name="scattermapbox", **kwargs):
+        super(LatsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_legendgroup.py b/packages/python/plotly/plotly/validators/scattermapbox/_legendgroup.py
new file mode 100644
index 00000000000..e5f6b14a287
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="scattermapbox", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_line.py b/packages/python/plotly/plotly/validators/scattermapbox/_line.py
new file mode 100644
index 00000000000..d5d2f43c3a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_line.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scattermapbox", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_lon.py b/packages/python/plotly/plotly/validators/scattermapbox/_lon.py
new file mode 100644
index 00000000000..694839a2ba4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_lon.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="lon", parent_name="scattermapbox", **kwargs):
+        super(LonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_lonsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_lonsrc.py
new file mode 100644
index 00000000000..0b77c00898f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_lonsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LonsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="lonsrc", parent_name="scattermapbox", **kwargs):
+        super(LonsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_marker.py b/packages/python/plotly/plotly/validators/scattermapbox/_marker.py
new file mode 100644
index 00000000000..122992f2e9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_marker.py
@@ -0,0 +1,134 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scattermapbox", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scattermapbox.mark
+                er.ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol. Full list:
+                https://www.mapbox.com/maki-icons/ Note that
+                the array `marker.color` and `marker.size` are
+                only available for "circle" symbols.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_meta.py b/packages/python/plotly/plotly/validators/scattermapbox/_meta.py
new file mode 100644
index 00000000000..3f65a80e585
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scattermapbox", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_metasrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_metasrc.py
new file mode 100644
index 00000000000..311d824e444
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scattermapbox", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_mode.py b/packages/python/plotly/plotly/validators/scattermapbox/_mode.py
new file mode 100644
index 00000000000..bd7318c3f34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scattermapbox", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_name.py b/packages/python/plotly/plotly/validators/scattermapbox/_name.py
new file mode 100644
index 00000000000..5e5c7bfc031
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scattermapbox", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_opacity.py b/packages/python/plotly/plotly/validators/scattermapbox/_opacity.py
new file mode 100644
index 00000000000..7efc6b40aa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scattermapbox", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_selected.py b/packages/python/plotly/plotly/validators/scattermapbox/_selected.py
new file mode 100644
index 00000000000..0e18f0963bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_selected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scattermapbox", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattermapbox.sele
+                cted.Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_selectedpoints.py b/packages/python/plotly/plotly/validators/scattermapbox/_selectedpoints.py
new file mode 100644
index 00000000000..9bb9feff673
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="scattermapbox", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_showlegend.py b/packages/python/plotly/plotly/validators/scattermapbox/_showlegend.py
new file mode 100644
index 00000000000..2d9325a42cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scattermapbox", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_stream.py b/packages/python/plotly/plotly/validators/scattermapbox/_stream.py
new file mode 100644
index 00000000000..c608676d579
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scattermapbox", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_subplot.py b/packages/python/plotly/plotly/validators/scattermapbox/_subplot.py
new file mode 100644
index 00000000000..b563ea78a13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="scattermapbox", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "mapbox"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_text.py b/packages/python/plotly/plotly/validators/scattermapbox/_text.py
new file mode 100644
index 00000000000..abc9c665268
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scattermapbox", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_textfont.py b/packages/python/plotly/plotly/validators/scattermapbox/_textfont.py
new file mode 100644
index 00000000000..d53a3caf6b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_textfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scattermapbox", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_textposition.py b/packages/python/plotly/plotly/validators/scattermapbox/_textposition.py
new file mode 100644
index 00000000000..dbc9b8e6d4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_textposition.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="textposition", parent_name="scattermapbox", **kwargs
+    ):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_textsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_textsrc.py
new file mode 100644
index 00000000000..a42e2e62e42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scattermapbox", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_texttemplate.py b/packages/python/plotly/plotly/validators/scattermapbox/_texttemplate.py
new file mode 100644
index 00000000000..3452a00b54f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_texttemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="texttemplate", parent_name="scattermapbox", **kwargs
+    ):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scattermapbox/_texttemplatesrc.py
new file mode 100644
index 00000000000..598e593ed59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scattermapbox", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_uid.py b/packages/python/plotly/plotly/validators/scattermapbox/_uid.py
new file mode 100644
index 00000000000..23b9fcc8e15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scattermapbox", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_uirevision.py b/packages/python/plotly/plotly/validators/scattermapbox/_uirevision.py
new file mode 100644
index 00000000000..aa23defa153
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scattermapbox", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_unselected.py b/packages/python/plotly/plotly/validators/scattermapbox/_unselected.py
new file mode 100644
index 00000000000..9ea27ccbb0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_unselected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="scattermapbox", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scattermapbox.unse
+                lected.Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/_visible.py b/packages/python/plotly/plotly/validators/scattermapbox/_visible.py
new file mode 100644
index 00000000000..bcf5087a9f4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scattermapbox", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/__init__.py
index 003c6fee205..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/__init__.py
@@ -1,191 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="scattermapbox.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scattermapbox.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scattermapbox.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="scattermapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scattermapbox.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scattermapbox.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scattermapbox.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scattermapbox.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scattermapbox.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_align.py
new file mode 100644
index 00000000000..f82124d1f49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scattermapbox.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..82eb7964db3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scattermapbox.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..cb8c0e9672b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scattermapbox.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..18bbda1e391
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scattermapbox.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..d39679ca23f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scattermapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..e6dd2fa17a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="scattermapbox.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_font.py
new file mode 100644
index 00000000000..429261d0e56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scattermapbox.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..a8662b208d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scattermapbox.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..f7f1cb4415b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="scattermapbox.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/__init__.py
index 3699bb6424e..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/__init__.py
@@ -1,112 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="scattermapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattermapbox.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="scattermapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattermapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scattermapbox.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattermapbox.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..eacbd84414f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattermapbox.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..22aca29218c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scattermapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..35c82803c5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattermapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..6ed1607eb65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="scattermapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..307dca85b0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattermapbox.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..1388204899e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="scattermapbox.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/line/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/line/__init__.py
index 88654e6413c..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/line/__init__.py
@@ -1,27 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scattermapbox.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scattermapbox.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/line/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/line/_color.py
new file mode 100644
index 00000000000..d07bcddb0db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scattermapbox.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/line/_width.py b/packages/python/plotly/plotly/validators/scattermapbox/line/_width.py
new file mode 100644
index 00000000000..9801df19df0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scattermapbox.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/__init__.py
index 8c0fa16305f..3918ff6831d 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/__init__.py
@@ -1,570 +1,54 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizeref", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                mapbox.marker.colorbar.Tickformatstop`
-                instances or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scattermapbox.marker.colorbar.tickformatstopd
-                efaults), sets the default property values to
-                use for elements of
-                scattermapbox.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scattermapbox.mark
-                er.colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                scattermapbox.marker.colorbar.title.font
-                instead. Sets this color bar's title font. Note
-                that the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scattermapbox.marker.colorbar.title.side
-                instead. Determines the location of color bar's
-                title with respect to the color bar. Note that
-                the title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scattermapbox.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scattermapbox.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_autocolorscale.py
new file mode 100644
index 00000000000..593da9ca6ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_cauto.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cauto.py
new file mode 100644
index 00000000000..d74990f1aeb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmax.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmax.py
new file mode 100644
index 00000000000..bb483e292e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmid.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmid.py
new file mode 100644
index 00000000000..8e47779dadc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmin.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmin.py
new file mode 100644
index 00000000000..142d7ecfa7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_color.py
new file mode 100644
index 00000000000..dde20becae2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scattermapbox.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_coloraxis.py
new file mode 100644
index 00000000000..8c14eed09ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorbar.py
new file mode 100644
index 00000000000..0cacd5fae94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                mapbox.marker.colorbar.Tickformatstop`
+                instances or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scattermapbox.marker.colorbar.tickformatstopd
+                efaults), sets the default property values to
+                use for elements of
+                scattermapbox.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scattermapbox.mark
+                er.colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                scattermapbox.marker.colorbar.title.font
+                instead. Sets this color bar's title font. Note
+                that the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scattermapbox.marker.colorbar.title.side
+                instead. Determines the location of color bar's
+                title with respect to the color bar. Note that
+                the title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorscale.py
new file mode 100644
index 00000000000..4df9db5f9b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorsrc.py
new file mode 100644
index 00000000000..e1eb6f2fafb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_opacity.py
new file mode 100644
index 00000000000..61e2cf89e26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_opacitysrc.py
new file mode 100644
index 00000000000..4d422de7db0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_reversescale.py
new file mode 100644
index 00000000000..db4e44c1942
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_showscale.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_showscale.py
new file mode 100644
index 00000000000..7011461e86c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_size.py
new file mode 100644
index 00000000000..2ad783816c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizemin.py
new file mode 100644
index 00000000000..0143284926d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizemin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizemode.py
new file mode 100644
index 00000000000..1da0dc0220e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizeref.py
new file mode 100644
index 00000000000..7031b7244f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizeref.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizeref", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizesrc.py
new file mode 100644
index 00000000000..5bc41b67f12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_symbol.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_symbol.py
new file mode 100644
index 00000000000..de6985295d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_symbol.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/_symbolsrc.py
new file mode 100644
index 00000000000..571469683d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scattermapbox.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/__init__.py
index 19630efe402..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/__init__.py
@@ -1,861 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="yanchor",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="xanchor",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickvals",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="ticktext",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="tickmode",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="ticklen",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickfont",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="nticks",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="lenmode",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scattermapbox.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="scattermapbox.marker.colorbar",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..b2e186c47b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..00efd856194
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..d891382a4ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..4724201aa95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..45e77138ed3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_len.py
new file mode 100644
index 00000000000..cc39fc3d7db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..00b4c6fc911
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_lenmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="lenmode",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..2510e92fd70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_nticks.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="nticks",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..a644851390b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..f560d335b78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..9a3567c8c2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..b82e046065f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..2e0483ffbcc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..bf590e6b3e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..abee44fdf55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..9cc4897d845
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..088e1787cbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..ea4bcb1bc10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..e78f28e1c8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..08fc28ce554
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..187a5c5dd7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickfont",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..b62d5e15c43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..761a2e69625
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..783dfcc3cc6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..db15290fd82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticklen.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="ticklen",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..86aa9d85b6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickmode.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="tickmode",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..afd90f02f42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..648b45f1c77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..387737e9d64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..3eeb6b4a65e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticktext.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="ticktext",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..7b007f2b6df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..feb7bbf7419
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickvals.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickvals",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..7c6de27128c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..ae3d1b67f38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_title.py
new file mode 100644
index 00000000000..2afb40b034a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_x.py
new file mode 100644
index 00000000000..a0661835b34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..1d57ccc6632
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_xanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="xanchor",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..7978cb66e54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_y.py
new file mode 100644
index 00000000000..aac2e2a0b01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..1c9b5bf35a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_yanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="yanchor",
+        parent_name="scattermapbox.marker.colorbar",
+        **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..0afeade567f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scattermapbox.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/__init__.py
index bdf3e66b646..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattermapbox.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattermapbox.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattermapbox.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..d52937d7596
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattermapbox.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..f556195a0ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattermapbox.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..9654e6e1120
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattermapbox.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/__init__.py
index 152c434c5bb..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scattermapbox.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scattermapbox.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scattermapbox.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scattermapbox.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scattermapbox.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..ed648da01a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scattermapbox.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..c640a7c6a45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scattermapbox.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..bc1b3e954cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scattermapbox.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..18d70120bcd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scattermapbox.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..4860d09f036
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scattermapbox.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/__init__.py
index 1331b067b76..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scattermapbox.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scattermapbox.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scattermapbox.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..959caf0b4a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scattermapbox.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..36dad67542f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scattermapbox.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..a9f6e8552d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scattermapbox.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/__init__.py
index 3ff117f99aa..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattermapbox.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scattermapbox.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattermapbox.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..8519aab2f30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattermapbox.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..84f02ab8782
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scattermapbox.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..0db45f5a1fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattermapbox.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/selected/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/selected/__init__.py
index 7d501e68251..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/selected/__init__.py
@@ -1,24 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattermapbox.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/selected/_marker.py b/packages/python/plotly/plotly/validators/scattermapbox/selected/_marker.py
new file mode 100644
index 00000000000..7d501e68251
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattermapbox.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/__init__.py
index d8614871d18..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/__init__.py
@@ -1,52 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattermapbox.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scattermapbox.selected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattermapbox.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_color.py
new file mode 100644
index 00000000000..45e6970ae0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattermapbox.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_opacity.py
new file mode 100644
index 00000000000..730513ab3ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scattermapbox.selected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_size.py
new file mode 100644
index 00000000000..72d01357d2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattermapbox.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/stream/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/stream/__init__.py
index 2aa07a6b36d..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="scattermapbox.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scattermapbox.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scattermapbox/stream/_maxpoints.py
new file mode 100644
index 00000000000..88ca9cf993e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scattermapbox.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/stream/_token.py b/packages/python/plotly/plotly/validators/scattermapbox/stream/_token.py
new file mode 100644
index 00000000000..a6a093fcb0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="scattermapbox.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/textfont/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/textfont/__init__.py
index 48586d9005d..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/textfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scattermapbox.textfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scattermapbox.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scattermapbox.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/textfont/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/textfont/_color.py
new file mode 100644
index 00000000000..63555509837
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/textfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scattermapbox.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/textfont/_family.py b/packages/python/plotly/plotly/validators/scattermapbox/textfont/_family.py
new file mode 100644
index 00000000000..919f0abc3e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/textfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scattermapbox.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/textfont/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/textfont/_size.py
new file mode 100644
index 00000000000..6bdab470de1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/textfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scattermapbox.textfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/unselected/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/unselected/__init__.py
index a6e65a7fdaf..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/unselected/__init__.py
@@ -1,27 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scattermapbox.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/unselected/_marker.py b/packages/python/plotly/plotly/validators/scattermapbox/unselected/_marker.py
new file mode 100644
index 00000000000..a6e65a7fdaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scattermapbox.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/__init__.py
index a13cf9590da..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/__init__.py
@@ -1,58 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scattermapbox.unselected.marker",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scattermapbox.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scattermapbox.unselected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_color.py
new file mode 100644
index 00000000000..498ee53a6bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scattermapbox.unselected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..82c11f9df11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scattermapbox.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_size.py
new file mode 100644
index 00000000000..66c59485530
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scattermapbox/unselected/marker/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scattermapbox.unselected.marker",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/__init__.py
index 1e8d401272d..da8063f79e7 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/__init__.py
@@ -1,1004 +1,110 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatterpolar", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="scatterpolar", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatterpolar.unsel
-                ected.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scatterpolar.unsel
-                ected.Textfont` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="scatterpolar", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scatterpolar", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="thetaunit", parent_name="scatterpolar", **kwargs):
-        super(ThetaunitValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["radians", "degrees", "gradians"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="thetasrc", parent_name="scatterpolar", **kwargs):
-        super(ThetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Theta0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="theta0", parent_name="scatterpolar", **kwargs):
-        super(Theta0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="theta", parent_name="scatterpolar", **kwargs):
-        super(ThetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scatterpolar", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="texttemplate", parent_name="scatterpolar", **kwargs
-    ):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scatterpolar", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scatterpolar", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="textposition", parent_name="scatterpolar", **kwargs
-    ):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scatterpolar", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scatterpolar", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="scatterpolar", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "polar"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scatterpolar", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="scatterpolar", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="scatterpolar", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scatterpolar", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatterpolar.selec
-                ted.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scatterpolar.selec
-                ted.Textfont` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="rsrc", parent_name="scatterpolar", **kwargs):
-        super(RsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class R0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="r0", parent_name="scatterpolar", **kwargs):
-        super(R0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="r", parent_name="scatterpolar", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatterpolar", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scatterpolar", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scatterpolar", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scatterpolar", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scatterpolar", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scatterpolar", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scatterpolar.marke
-                r.ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            gradient
-                :class:`plotly.graph_objects.scatterpolar.marke
-                r.Gradient` instance or dict with compatible
-                properties
-            line
-                :class:`plotly.graph_objects.scatterpolar.marke
-                r.Line` instance or dict with compatible
-                properties
-            maxdisplayed
-                Sets a maximum number of points to be drawn on
-                the graph. 0 corresponds to no limit.
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatterpolar", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            shape
-                Determines the line shape. With "spline" the
-                lines are drawn using spline interpolation. The
-                other available values correspond to step-wise
-                line shapes.
-            smoothing
-                Has an effect only if `shape` is set to
-                "spline" Sets the amount of smoothing. 0
-                corresponds to no smoothing (equivalent to a
-                "linear" shape).
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="scatterpolar", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scatterpolar", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scatterpolar", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="scatterpolar", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scatterpolar", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scatterpolar", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="scatterpolar", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="scatterpolar", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            flags=kwargs.pop("flags", ["points", "fills"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="scatterpolar", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="scatterpolar", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scatterpolar", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["r", "theta", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scatterpolar", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scatterpolar", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "toself", "tonext"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DthetaValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtheta", parent_name="scatterpolar", **kwargs):
-        super(DthetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DrValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dr", parent_name="scatterpolar", **kwargs):
-        super(DrValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="scatterpolar", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="scatterpolar", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="scatterpolar", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cliponaxis", parent_name="scatterpolar", **kwargs):
-        super(CliponaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._thetaunit import ThetaunitValidator
+    from ._thetasrc import ThetasrcValidator
+    from ._theta0 import Theta0Validator
+    from ._theta import ThetaValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._rsrc import RsrcValidator
+    from ._r0 import R0Validator
+    from ._r import RValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._dtheta import DthetaValidator
+    from ._dr import DrValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._cliponaxis import CliponaxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._thetaunit.ThetaunitValidator",
+            "._thetasrc.ThetasrcValidator",
+            "._theta0.Theta0Validator",
+            "._theta.ThetaValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._rsrc.RsrcValidator",
+            "._r0.R0Validator",
+            "._r.RValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._dtheta.DthetaValidator",
+            "._dr.DrValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._cliponaxis.CliponaxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_cliponaxis.py b/packages/python/plotly/plotly/validators/scatterpolar/_cliponaxis.py
new file mode 100644
index 00000000000..1728b027356
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_cliponaxis.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cliponaxis", parent_name="scatterpolar", **kwargs):
+        super(CliponaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_connectgaps.py b/packages/python/plotly/plotly/validators/scatterpolar/_connectgaps.py
new file mode 100644
index 00000000000..60e146cf7b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="scatterpolar", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_customdata.py b/packages/python/plotly/plotly/validators/scatterpolar/_customdata.py
new file mode 100644
index 00000000000..9f990c47cf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="scatterpolar", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_customdatasrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_customdatasrc.py
new file mode 100644
index 00000000000..fe16b2f48b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="scatterpolar", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_dr.py b/packages/python/plotly/plotly/validators/scatterpolar/_dr.py
new file mode 100644
index 00000000000..5462f47ed39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_dr.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DrValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dr", parent_name="scatterpolar", **kwargs):
+        super(DrValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_dtheta.py b/packages/python/plotly/plotly/validators/scatterpolar/_dtheta.py
new file mode 100644
index 00000000000..21888d4f94b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_dtheta.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DthetaValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtheta", parent_name="scatterpolar", **kwargs):
+        super(DthetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_fill.py b/packages/python/plotly/plotly/validators/scatterpolar/_fill.py
new file mode 100644
index 00000000000..e435f40f565
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_fill.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scatterpolar", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "toself", "tonext"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_fillcolor.py b/packages/python/plotly/plotly/validators/scatterpolar/_fillcolor.py
new file mode 100644
index 00000000000..ec9295fb1e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scatterpolar", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hoverinfo.py b/packages/python/plotly/plotly/validators/scatterpolar/_hoverinfo.py
new file mode 100644
index 00000000000..442acf2e18b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scatterpolar", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["r", "theta", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_hoverinfosrc.py
new file mode 100644
index 00000000000..5cc54c97680
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="scatterpolar", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hoverlabel.py b/packages/python/plotly/plotly/validators/scatterpolar/_hoverlabel.py
new file mode 100644
index 00000000000..e45017cbc2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="scatterpolar", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hoveron.py b/packages/python/plotly/plotly/validators/scatterpolar/_hoveron.py
new file mode 100644
index 00000000000..20e38ce1236
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hoveron.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="scatterpolar", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            flags=kwargs.pop("flags", ["points", "fills"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hovertemplate.py b/packages/python/plotly/plotly/validators/scatterpolar/_hovertemplate.py
new file mode 100644
index 00000000000..7f6abe476d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="scatterpolar", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_hovertemplatesrc.py
new file mode 100644
index 00000000000..4f19d10c031
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scatterpolar", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hovertext.py b/packages/python/plotly/plotly/validators/scatterpolar/_hovertext.py
new file mode 100644
index 00000000000..d2e751094f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scatterpolar", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_hovertextsrc.py
new file mode 100644
index 00000000000..8b98eb65d6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="scatterpolar", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_ids.py b/packages/python/plotly/plotly/validators/scatterpolar/_ids.py
new file mode 100644
index 00000000000..8d778631173
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scatterpolar", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_idssrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_idssrc.py
new file mode 100644
index 00000000000..79303ef9953
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scatterpolar", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_legendgroup.py b/packages/python/plotly/plotly/validators/scatterpolar/_legendgroup.py
new file mode 100644
index 00000000000..739b80447d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="scatterpolar", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_line.py b/packages/python/plotly/plotly/validators/scatterpolar/_line.py
new file mode 100644
index 00000000000..897866f72c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_line.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatterpolar", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            shape
+                Determines the line shape. With "spline" the
+                lines are drawn using spline interpolation. The
+                other available values correspond to step-wise
+                line shapes.
+            smoothing
+                Has an effect only if `shape` is set to
+                "spline" Sets the amount of smoothing. 0
+                corresponds to no smoothing (equivalent to a
+                "linear" shape).
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_marker.py b/packages/python/plotly/plotly/validators/scatterpolar/_marker.py
new file mode 100644
index 00000000000..7a422e436ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_marker.py
@@ -0,0 +1,147 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scatterpolar", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scatterpolar.marke
+                r.ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            gradient
+                :class:`plotly.graph_objects.scatterpolar.marke
+                r.Gradient` instance or dict with compatible
+                properties
+            line
+                :class:`plotly.graph_objects.scatterpolar.marke
+                r.Line` instance or dict with compatible
+                properties
+            maxdisplayed
+                Sets a maximum number of points to be drawn on
+                the graph. 0 corresponds to no limit.
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_meta.py b/packages/python/plotly/plotly/validators/scatterpolar/_meta.py
new file mode 100644
index 00000000000..9ed4e6706bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scatterpolar", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_metasrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_metasrc.py
new file mode 100644
index 00000000000..cb89da465d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scatterpolar", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_mode.py b/packages/python/plotly/plotly/validators/scatterpolar/_mode.py
new file mode 100644
index 00000000000..0468d99cffd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scatterpolar", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_name.py b/packages/python/plotly/plotly/validators/scatterpolar/_name.py
new file mode 100644
index 00000000000..e2bd52e8f21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scatterpolar", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolar/_opacity.py
new file mode 100644
index 00000000000..510434243cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatterpolar", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_r.py b/packages/python/plotly/plotly/validators/scatterpolar/_r.py
new file mode 100644
index 00000000000..f0a46d0d296
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="r", parent_name="scatterpolar", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_r0.py b/packages/python/plotly/plotly/validators/scatterpolar/_r0.py
new file mode 100644
index 00000000000..539c96932b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_r0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class R0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="r0", parent_name="scatterpolar", **kwargs):
+        super(R0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_rsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_rsrc.py
new file mode 100644
index 00000000000..aa7f5fba5e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_rsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="rsrc", parent_name="scatterpolar", **kwargs):
+        super(RsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_selected.py b/packages/python/plotly/plotly/validators/scatterpolar/_selected.py
new file mode 100644
index 00000000000..0444d3d1af8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scatterpolar", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatterpolar.selec
+                ted.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scatterpolar.selec
+                ted.Textfont` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_selectedpoints.py b/packages/python/plotly/plotly/validators/scatterpolar/_selectedpoints.py
new file mode 100644
index 00000000000..675431b9774
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="scatterpolar", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_showlegend.py b/packages/python/plotly/plotly/validators/scatterpolar/_showlegend.py
new file mode 100644
index 00000000000..919909732e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="scatterpolar", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_stream.py b/packages/python/plotly/plotly/validators/scatterpolar/_stream.py
new file mode 100644
index 00000000000..56991aa3910
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scatterpolar", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_subplot.py b/packages/python/plotly/plotly/validators/scatterpolar/_subplot.py
new file mode 100644
index 00000000000..6b852fc3342
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="scatterpolar", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "polar"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_text.py b/packages/python/plotly/plotly/validators/scatterpolar/_text.py
new file mode 100644
index 00000000000..8724f80253a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scatterpolar", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_textfont.py b/packages/python/plotly/plotly/validators/scatterpolar/_textfont.py
new file mode 100644
index 00000000000..9ccbcd4e250
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scatterpolar", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_textposition.py b/packages/python/plotly/plotly/validators/scatterpolar/_textposition.py
new file mode 100644
index 00000000000..1cefdfb5230
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_textposition.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="textposition", parent_name="scatterpolar", **kwargs
+    ):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_textpositionsrc.py
new file mode 100644
index 00000000000..9e8a73e7d2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scatterpolar", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_textsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_textsrc.py
new file mode 100644
index 00000000000..b6723e2eafb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scatterpolar", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_texttemplate.py b/packages/python/plotly/plotly/validators/scatterpolar/_texttemplate.py
new file mode 100644
index 00000000000..065c71da949
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_texttemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="texttemplate", parent_name="scatterpolar", **kwargs
+    ):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_texttemplatesrc.py
new file mode 100644
index 00000000000..682d8d769d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scatterpolar", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_theta.py b/packages/python/plotly/plotly/validators/scatterpolar/_theta.py
new file mode 100644
index 00000000000..717c0989eac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_theta.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="theta", parent_name="scatterpolar", **kwargs):
+        super(ThetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_theta0.py b/packages/python/plotly/plotly/validators/scatterpolar/_theta0.py
new file mode 100644
index 00000000000..4f754a793e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_theta0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Theta0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="theta0", parent_name="scatterpolar", **kwargs):
+        super(Theta0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_thetasrc.py b/packages/python/plotly/plotly/validators/scatterpolar/_thetasrc.py
new file mode 100644
index 00000000000..46d50809fba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_thetasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ThetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="thetasrc", parent_name="scatterpolar", **kwargs):
+        super(ThetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_thetaunit.py b/packages/python/plotly/plotly/validators/scatterpolar/_thetaunit.py
new file mode 100644
index 00000000000..dbb60c52779
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_thetaunit.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="thetaunit", parent_name="scatterpolar", **kwargs):
+        super(ThetaunitValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["radians", "degrees", "gradians"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_uid.py b/packages/python/plotly/plotly/validators/scatterpolar/_uid.py
new file mode 100644
index 00000000000..100a7a0fed4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scatterpolar", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_uirevision.py b/packages/python/plotly/plotly/validators/scatterpolar/_uirevision.py
new file mode 100644
index 00000000000..4f9c15a3199
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="scatterpolar", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_unselected.py b/packages/python/plotly/plotly/validators/scatterpolar/_unselected.py
new file mode 100644
index 00000000000..c4fca07fcec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_unselected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="scatterpolar", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatterpolar.unsel
+                ected.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scatterpolar.unsel
+                ected.Textfont` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/_visible.py b/packages/python/plotly/plotly/validators/scatterpolar/_visible.py
new file mode 100644
index 00000000000..29e947291b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatterpolar", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/__init__.py
index 52d817ee900..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/__init__.py
@@ -1,188 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="scatterpolar.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="scatterpolar.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scatterpolar.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_align.py
new file mode 100644
index 00000000000..ef8f5e253d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..31522c92215
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..3825f661694
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..5b1781dfc83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..3764db3e0f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..83893c4fe4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="scatterpolar.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_font.py
new file mode 100644
index 00000000000..2c1813d81ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f2f71f8493a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="scatterpolar.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3aa15d7a1a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="scatterpolar.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/__init__.py
index 432cafb24f7..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/__init__.py
@@ -1,109 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="scatterpolar.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolar.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="scatterpolar.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatterpolar.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scatterpolar.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolar.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..e86b1b742a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolar.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..dd4089393db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scatterpolar.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..15f8e1436e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatterpolar.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..c12993c9777
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="scatterpolar.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..7773c4c8af4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolar.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..1f0e5df3fb0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="scatterpolar.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/line/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/line/__init__.py
index 927da0bea00..73e814e94f3 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/line/__init__.py
@@ -1,77 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="scatterpolar.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="smoothing", parent_name="scatterpolar.line", **kwargs
-    ):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="shape", parent_name="scatterpolar.line", **kwargs):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["linear", "spline"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="scatterpolar.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="scatterpolar.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._shape import ShapeValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._shape.ShapeValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/line/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/line/_color.py
new file mode 100644
index 00000000000..ed7efff9848
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="scatterpolar.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/line/_dash.py b/packages/python/plotly/plotly/validators/scatterpolar/line/_dash.py
new file mode 100644
index 00000000000..9d02e911b5d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="scatterpolar.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/line/_shape.py b/packages/python/plotly/plotly/validators/scatterpolar/line/_shape.py
new file mode 100644
index 00000000000..bd7e8b41443
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/line/_shape.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="shape", parent_name="scatterpolar.line", **kwargs):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["linear", "spline"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/line/_smoothing.py b/packages/python/plotly/plotly/validators/scatterpolar/line/_smoothing.py
new file mode 100644
index 00000000000..defb2e8cf37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/line/_smoothing.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="smoothing", parent_name="scatterpolar.line", **kwargs
+    ):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/line/_width.py b/packages/python/plotly/plotly/validators/scatterpolar/line/_width.py
new file mode 100644
index 00000000000..5df3ccdfd9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="scatterpolar.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/__init__.py
index 5a5a4a6b97c..bcd2242a57a 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/__init__.py
@@ -1,1007 +1,60 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizeref", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="scatterpolar.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxdisplayed", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(MaxdisplayedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatterpolar.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="gradient", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(GradientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Gradient"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the final color of the gradient fill: the
-                center color for radial, the right for
-                horizontal, or the bottom for vertical.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            type
-                Sets the type of gradient used to fill the
-                markers
-            typesrc
-                Sets the source reference on Chart Studio Cloud
-                for  type .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                polar.marker.colorbar.Tickformatstop` instances
-                or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scatterpolar.marker.colorbar.tickformatstopde
-                faults), sets the default property values to
-                use for elements of
-                scatterpolar.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scatterpolar.marke
-                r.colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                scatterpolar.marker.colorbar.title.font
-                instead. Sets this color bar's title font. Note
-                that the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scatterpolar.marker.colorbar.title.side
-                instead. Determines the location of color bar's
-                title with respect to the color bar. Note that
-                the title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatterpolar.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="scatterpolar.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="scatterpolar.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="scatterpolar.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="scatterpolar.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._maxdisplayed import MaxdisplayedValidator
+    from ._line import LineValidator
+    from ._gradient import GradientValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._maxdisplayed.MaxdisplayedValidator",
+            "._line.LineValidator",
+            "._gradient.GradientValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_autocolorscale.py
new file mode 100644
index 00000000000..6d250d2f25e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_cauto.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cauto.py
new file mode 100644
index 00000000000..beeec63c24d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmax.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmax.py
new file mode 100644
index 00000000000..7eb47d55d7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="scatterpolar.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmid.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmid.py
new file mode 100644
index 00000000000..2b7f71c92de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="scatterpolar.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmin.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmin.py
new file mode 100644
index 00000000000..f458fde4edf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="scatterpolar.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_color.py
new file mode 100644
index 00000000000..be6b60614de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatterpolar.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_coloraxis.py
new file mode 100644
index 00000000000..e226abcc953
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorbar.py
new file mode 100644
index 00000000000..14c27d298fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                polar.marker.colorbar.Tickformatstop` instances
+                or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scatterpolar.marker.colorbar.tickformatstopde
+                faults), sets the default property values to
+                use for elements of
+                scatterpolar.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scatterpolar.marke
+                r.colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                scatterpolar.marker.colorbar.title.font
+                instead. Sets this color bar's title font. Note
+                that the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scatterpolar.marker.colorbar.title.side
+                instead. Determines the location of color bar's
+                title with respect to the color bar. Note that
+                the title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorscale.py
new file mode 100644
index 00000000000..3861bfa0196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorsrc.py
new file mode 100644
index 00000000000..00d52ab7baf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_gradient.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_gradient.py
new file mode 100644
index 00000000000..1b2808ea3d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_gradient.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="gradient", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(GradientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Gradient"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the final color of the gradient fill: the
+                center color for radial, the right for
+                horizontal, or the bottom for vertical.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            type
+                Sets the type of gradient used to fill the
+                markers
+            typesrc
+                Sets the source reference on Chart Studio Cloud
+                for  type .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_line.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_line.py
new file mode 100644
index 00000000000..952f7a36109
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatterpolar.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_maxdisplayed.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_maxdisplayed.py
new file mode 100644
index 00000000000..ef6b48b31ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_maxdisplayed.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxdisplayed", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(MaxdisplayedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_opacity.py
new file mode 100644
index 00000000000..6f6d008eb4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_opacitysrc.py
new file mode 100644
index 00000000000..eae999bf43c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_reversescale.py
new file mode 100644
index 00000000000..37d0ac4a4c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_showscale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_showscale.py
new file mode 100644
index 00000000000..a1a2d28f7e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_size.py
new file mode 100644
index 00000000000..1b85d8c2ed5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="scatterpolar.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizemin.py
new file mode 100644
index 00000000000..18cd87718f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizemin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizemode.py
new file mode 100644
index 00000000000..c438f7ef2a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizeref.py
new file mode 100644
index 00000000000..3ae69d8469e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizeref.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizeref", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizesrc.py
new file mode 100644
index 00000000000..c5571b052ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_symbol.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_symbol.py
new file mode 100644
index 00000000000..cb363646133
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_symbol.py
@@ -0,0 +1,304 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/_symbolsrc.py
new file mode 100644
index 00000000000..d798d8e0aa7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scatterpolar.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/__init__.py
index 7e0494a339a..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/__init__.py
@@ -1,858 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="yanchor",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="xanchor",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickvals",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="ticktext",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="tickmode",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="ticklen",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickfont",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="lenmode",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="scatterpolar.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="scatterpolar.marker.colorbar",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..0aa67603ff4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..8fb50f8c080
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..22538a03ced
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..b3bc4224099
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..e63db4da986
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_len.py
new file mode 100644
index 00000000000..3866eb60abc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..a66754dded1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_lenmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="lenmode",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..a355ba72cc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..a59ffa17532
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..e9fcfbe84b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..cf5659c780b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..eafb95f6e90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..bc428796966
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..79f183916c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..64f73dec674
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..edebabfb368
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..8e2f391d644
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..ed8ea91af4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..875b6d68979
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..39b8815b888
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..4b05dd4f330
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickfont",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..ff850163a5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..c99119168a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..a4e37b65a3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..4f475ce9389
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticklen.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="ticklen",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..6b18e10c8b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickmode.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="tickmode",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..cdc4028eb4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..a9733c8fb4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..53069980d51
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..9b1f9442333
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticktext.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="ticktext",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..9be893c883d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..78afa978916
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickvals.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickvals",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..7a38b9480f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..5fbe4a126bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_title.py
new file mode 100644
index 00000000000..3ef83a4a52c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_x.py
new file mode 100644
index 00000000000..d0075797512
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..4cb1838d035
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_xanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="xanchor",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..eaf4c6c17cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_y.py
new file mode 100644
index 00000000000..7b4e1f16f60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..266cb86fb56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_yanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="yanchor",
+        parent_name="scatterpolar.marker.colorbar",
+        **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..3ec4d14fa0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scatterpolar.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/__init__.py
index ceedf12c5a8..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterpolar.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterpolar.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolar.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..57ff15d3c16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolar.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..35e3e5bf7a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterpolar.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..4b5c45ecb7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterpolar.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/__init__.py
index 12651ce05d7..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scatterpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scatterpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scatterpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scatterpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scatterpolar.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..f79a82ea0b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scatterpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..f534ec7ccdc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scatterpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..f548989cca6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scatterpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..d4b1b2f583e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scatterpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..e39151e9943
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scatterpolar.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/__init__.py
index f4b913f8cc1..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scatterpolar.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scatterpolar.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scatterpolar.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..d9f681a6915
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scatterpolar.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..56775c98bc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scatterpolar.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..a8cc24b85d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scatterpolar.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/__init__.py
index dfd5db3d4d3..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterpolar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterpolar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolar.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..5511fb71580
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..68230b81238
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterpolar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..234aa1efb85
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterpolar.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/__init__.py
index 249bbb326de..5193d7a59a5 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/__init__.py
@@ -1,71 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="typesrc",
-        parent_name="scatterpolar.marker.gradient",
-        **kwargs
-    ):
-        super(TypesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="scatterpolar.marker.gradient", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scatterpolar.marker.gradient",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolar.marker.gradient", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._typesrc import TypesrcValidator
+    from ._type import TypeValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._typesrc.TypesrcValidator",
+            "._type.TypeValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_color.py
new file mode 100644
index 00000000000..fe280951cd1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolar.marker.gradient", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_colorsrc.py
new file mode 100644
index 00000000000..85716551dce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scatterpolar.marker.gradient",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_type.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_type.py
new file mode 100644
index 00000000000..fe3bc500a73
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_type.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="scatterpolar.marker.gradient", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_typesrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_typesrc.py
new file mode 100644
index 00000000000..70612445b99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/gradient/_typesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="typesrc",
+        parent_name="scatterpolar.marker.gradient",
+        **kwargs
+    ):
+        super(TypesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/__init__.py
index 65155d4fa33..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/__init__.py
@@ -1,210 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="reversescale",
-        parent_name="scatterpolar.marker.line",
-        **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatterpolar.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatterpolar.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scatterpolar.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..ca7016341b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scatterpolar.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cauto.py
new file mode 100644
index 00000000000..a31654e299e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmax.py
new file mode 100644
index 00000000000..0566e9d5c46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmid.py
new file mode 100644
index 00000000000..cfcb66fcab3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmin.py
new file mode 100644
index 00000000000..5e3b2af0b14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_color.py
new file mode 100644
index 00000000000..c7dbfefaae6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatterpolar.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..124f56dd894
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_colorscale.py
new file mode 100644
index 00000000000..b72d044501c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..bc5dd635801
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_reversescale.py
new file mode 100644
index 00000000000..c104f1fa8f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_reversescale.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="reversescale",
+        parent_name="scatterpolar.marker.line",
+        **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_width.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_width.py
new file mode 100644
index 00000000000..dc72b400059
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..44512562a6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scatterpolar.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/__init__.py
index e2f5dc3cc64..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/__init__.py
@@ -1,46 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatterpolar.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatterpolar.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/_marker.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/_marker.py
new file mode 100644
index 00000000000..95c80f1a6e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatterpolar.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/_textfont.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/_textfont.py
new file mode 100644
index 00000000000..644b7805fba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatterpolar.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/__init__.py
index e325a515aff..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/__init__.py
@@ -1,52 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolar.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scatterpolar.selected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolar.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_color.py
new file mode 100644
index 00000000000..84039776650
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolar.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_opacity.py
new file mode 100644
index 00000000000..2d77c8e6b78
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scatterpolar.selected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_size.py
new file mode 100644
index 00000000000..50378685a81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolar.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/__init__.py
index e26019cfcce..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolar.selected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/_color.py
new file mode 100644
index 00000000000..e26019cfcce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/selected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolar.selected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/stream/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/stream/__init__.py
index 69abf0290d7..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="scatterpolar.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scatterpolar.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scatterpolar/stream/_maxpoints.py
new file mode 100644
index 00000000000..f8044c456bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scatterpolar.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/stream/_token.py b/packages/python/plotly/plotly/validators/scatterpolar/stream/_token.py
new file mode 100644
index 00000000000..8ffefc8f775
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="scatterpolar.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/__init__.py
index ef69a130c33..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatterpolar.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolar.textfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scatterpolar.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatterpolar.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterpolar.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolar.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_color.py
new file mode 100644
index 00000000000..14a03f1b537
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolar.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_colorsrc.py
new file mode 100644
index 00000000000..b68a7d95e4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterpolar.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/_family.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_family.py
new file mode 100644
index 00000000000..b52617eceb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatterpolar.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_familysrc.py
new file mode 100644
index 00000000000..c4703c698a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scatterpolar.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_size.py
new file mode 100644
index 00000000000..bf747e16dd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolar.textfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_sizesrc.py
new file mode 100644
index 00000000000..2f7e2e16ad0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatterpolar.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/__init__.py
index c2ed13bebb9..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatterpolar.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatterpolar.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/_marker.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/_marker.py
new file mode 100644
index 00000000000..498fdb3fbc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatterpolar.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/_textfont.py
new file mode 100644
index 00000000000..09ccec16581
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatterpolar.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/__init__.py
index 2479b7a4b62..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/__init__.py
@@ -1,55 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolar.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scatterpolar.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolar.unselected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_color.py
new file mode 100644
index 00000000000..3ba8ba9faa4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolar.unselected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..f152c2ea412
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scatterpolar.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_size.py
new file mode 100644
index 00000000000..fc06a45ec15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolar.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/__init__.py
index 76fd1f0a998..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolar.unselected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/_color.py
new file mode 100644
index 00000000000..76fd1f0a998
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolar/unselected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolar.unselected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/__init__.py
index 12d5a86189b..352ec1cddfd 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/__init__.py
@@ -1,983 +1,106 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatterpolargl", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="unselected", parent_name="scatterpolargl", **kwargs
-    ):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatterpolargl.uns
-                elected.Marker` instance or dict with
-                compatible properties
-            textfont
-                :class:`plotly.graph_objects.scatterpolargl.uns
-                elected.Textfont` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="scatterpolargl", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scatterpolargl", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="thetaunit", parent_name="scatterpolargl", **kwargs):
-        super(ThetaunitValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["radians", "degrees", "gradians"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="thetasrc", parent_name="scatterpolargl", **kwargs):
-        super(ThetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Theta0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="theta0", parent_name="scatterpolargl", **kwargs):
-        super(Theta0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="theta", parent_name="scatterpolargl", **kwargs):
-        super(ThetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scatterpolargl", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="texttemplate", parent_name="scatterpolargl", **kwargs
-    ):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scatterpolargl", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scatterpolargl", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="textposition", parent_name="scatterpolargl", **kwargs
-    ):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scatterpolargl", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scatterpolargl", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="scatterpolargl", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "polar"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scatterpolargl", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlegend", parent_name="scatterpolargl", **kwargs
-    ):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="scatterpolargl", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scatterpolargl", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatterpolargl.sel
-                ected.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scatterpolargl.sel
-                ected.Textfont` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="rsrc", parent_name="scatterpolargl", **kwargs):
-        super(RsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class R0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="r0", parent_name="scatterpolargl", **kwargs):
-        super(R0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="r", parent_name="scatterpolargl", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatterpolargl", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scatterpolargl", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scatterpolargl", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scatterpolargl", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scatterpolargl", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scatterpolargl", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scatterpolargl.mar
-                ker.ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.scatterpolargl.mar
-                ker.Line` instance or dict with compatible
-                properties
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatterpolargl", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the style of the lines.
-            shape
-                Determines the line shape. The values
-                correspond to step-wise line shapes.
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="scatterpolargl", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scatterpolargl", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scatterpolargl", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="scatterpolargl", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scatterpolargl", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scatterpolargl", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="scatterpolargl", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="hoverlabel", parent_name="scatterpolargl", **kwargs
-    ):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="scatterpolargl", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scatterpolargl", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["r", "theta", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scatterpolargl", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scatterpolargl", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "none",
-                    "tozeroy",
-                    "tozerox",
-                    "tonexty",
-                    "tonextx",
-                    "toself",
-                    "tonext",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DthetaValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dtheta", parent_name="scatterpolargl", **kwargs):
-        super(DthetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DrValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dr", parent_name="scatterpolargl", **kwargs):
-        super(DrValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="scatterpolargl", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="customdata", parent_name="scatterpolargl", **kwargs
-    ):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="connectgaps", parent_name="scatterpolargl", **kwargs
-    ):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._thetaunit import ThetaunitValidator
+    from ._thetasrc import ThetasrcValidator
+    from ._theta0 import Theta0Validator
+    from ._theta import ThetaValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._rsrc import RsrcValidator
+    from ._r0 import R0Validator
+    from ._r import RValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._dtheta import DthetaValidator
+    from ._dr import DrValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._connectgaps import ConnectgapsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._thetaunit.ThetaunitValidator",
+            "._thetasrc.ThetasrcValidator",
+            "._theta0.Theta0Validator",
+            "._theta.ThetaValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._rsrc.RsrcValidator",
+            "._r0.R0Validator",
+            "._r.RValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._dtheta.DthetaValidator",
+            "._dr.DrValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._connectgaps.ConnectgapsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_connectgaps.py b/packages/python/plotly/plotly/validators/scatterpolargl/_connectgaps.py
new file mode 100644
index 00000000000..3a2d4ea50a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_connectgaps.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="connectgaps", parent_name="scatterpolargl", **kwargs
+    ):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_customdata.py b/packages/python/plotly/plotly/validators/scatterpolargl/_customdata.py
new file mode 100644
index 00000000000..eb186a60a65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_customdata.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="customdata", parent_name="scatterpolargl", **kwargs
+    ):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_customdatasrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_customdatasrc.py
new file mode 100644
index 00000000000..d4d96ba2d16
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="scatterpolargl", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_dr.py b/packages/python/plotly/plotly/validators/scatterpolargl/_dr.py
new file mode 100644
index 00000000000..104ab577879
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_dr.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DrValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dr", parent_name="scatterpolargl", **kwargs):
+        super(DrValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_dtheta.py b/packages/python/plotly/plotly/validators/scatterpolargl/_dtheta.py
new file mode 100644
index 00000000000..f7b5c5db08d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_dtheta.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DthetaValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dtheta", parent_name="scatterpolargl", **kwargs):
+        super(DthetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_fill.py b/packages/python/plotly/plotly/validators/scatterpolargl/_fill.py
new file mode 100644
index 00000000000..0d020cebfc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_fill.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scatterpolargl", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "none",
+                    "tozeroy",
+                    "tozerox",
+                    "tonexty",
+                    "tonextx",
+                    "toself",
+                    "tonext",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_fillcolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/_fillcolor.py
new file mode 100644
index 00000000000..b7224a327a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scatterpolargl", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hoverinfo.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hoverinfo.py
new file mode 100644
index 00000000000..bb4dbdee532
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scatterpolargl", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["r", "theta", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hoverinfosrc.py
new file mode 100644
index 00000000000..da481160a01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="scatterpolargl", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hoverlabel.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hoverlabel.py
new file mode 100644
index 00000000000..1e29f265ad8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hoverlabel.py
@@ -0,0 +1,53 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="hoverlabel", parent_name="scatterpolargl", **kwargs
+    ):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hovertemplate.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertemplate.py
new file mode 100644
index 00000000000..76178431498
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="scatterpolargl", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertemplatesrc.py
new file mode 100644
index 00000000000..65e06985c33
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scatterpolargl", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hovertext.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertext.py
new file mode 100644
index 00000000000..339f216fdf0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scatterpolargl", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertextsrc.py
new file mode 100644
index 00000000000..a6fa2d028e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="scatterpolargl", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_ids.py b/packages/python/plotly/plotly/validators/scatterpolargl/_ids.py
new file mode 100644
index 00000000000..2c742a29764
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scatterpolargl", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_idssrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_idssrc.py
new file mode 100644
index 00000000000..bfce918c221
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scatterpolargl", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_legendgroup.py b/packages/python/plotly/plotly/validators/scatterpolargl/_legendgroup.py
new file mode 100644
index 00000000000..c22eab40cd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="scatterpolargl", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_line.py b/packages/python/plotly/plotly/validators/scatterpolargl/_line.py
new file mode 100644
index 00000000000..3c5cf983fed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatterpolargl", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the style of the lines.
+            shape
+                Determines the line shape. The values
+                correspond to step-wise line shapes.
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_marker.py b/packages/python/plotly/plotly/validators/scatterpolargl/_marker.py
new file mode 100644
index 00000000000..c04ae34bb41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_marker.py
@@ -0,0 +1,140 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scatterpolargl", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scatterpolargl.mar
+                ker.ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.scatterpolargl.mar
+                ker.Line` instance or dict with compatible
+                properties
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_meta.py b/packages/python/plotly/plotly/validators/scatterpolargl/_meta.py
new file mode 100644
index 00000000000..372b640e403
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scatterpolargl", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_metasrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_metasrc.py
new file mode 100644
index 00000000000..d39fb44549d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scatterpolargl", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_mode.py b/packages/python/plotly/plotly/validators/scatterpolargl/_mode.py
new file mode 100644
index 00000000000..066c57c8498
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scatterpolargl", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_name.py b/packages/python/plotly/plotly/validators/scatterpolargl/_name.py
new file mode 100644
index 00000000000..6805e923ad6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scatterpolargl", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolargl/_opacity.py
new file mode 100644
index 00000000000..635a0177130
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatterpolargl", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_r.py b/packages/python/plotly/plotly/validators/scatterpolargl/_r.py
new file mode 100644
index 00000000000..0444498f3d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_r.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="r", parent_name="scatterpolargl", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_r0.py b/packages/python/plotly/plotly/validators/scatterpolargl/_r0.py
new file mode 100644
index 00000000000..054d8ee47d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_r0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class R0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="r0", parent_name="scatterpolargl", **kwargs):
+        super(R0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_rsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_rsrc.py
new file mode 100644
index 00000000000..4bf9c0f898c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_rsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class RsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="rsrc", parent_name="scatterpolargl", **kwargs):
+        super(RsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_selected.py b/packages/python/plotly/plotly/validators/scatterpolargl/_selected.py
new file mode 100644
index 00000000000..434ea2ce704
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scatterpolargl", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatterpolargl.sel
+                ected.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scatterpolargl.sel
+                ected.Textfont` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_selectedpoints.py b/packages/python/plotly/plotly/validators/scatterpolargl/_selectedpoints.py
new file mode 100644
index 00000000000..f2a3559f8ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="scatterpolargl", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_showlegend.py b/packages/python/plotly/plotly/validators/scatterpolargl/_showlegend.py
new file mode 100644
index 00000000000..50c7d714f1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_showlegend.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlegend", parent_name="scatterpolargl", **kwargs
+    ):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_stream.py b/packages/python/plotly/plotly/validators/scatterpolargl/_stream.py
new file mode 100644
index 00000000000..a06679ea880
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scatterpolargl", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_subplot.py b/packages/python/plotly/plotly/validators/scatterpolargl/_subplot.py
new file mode 100644
index 00000000000..6bf5dd1744d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="scatterpolargl", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "polar"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_text.py b/packages/python/plotly/plotly/validators/scatterpolargl/_text.py
new file mode 100644
index 00000000000..c4921d9ffc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scatterpolargl", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_textfont.py b/packages/python/plotly/plotly/validators/scatterpolargl/_textfont.py
new file mode 100644
index 00000000000..4291045b4b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scatterpolargl", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_textposition.py b/packages/python/plotly/plotly/validators/scatterpolargl/_textposition.py
new file mode 100644
index 00000000000..1a87bf1fec2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_textposition.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="textposition", parent_name="scatterpolargl", **kwargs
+    ):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_textpositionsrc.py
new file mode 100644
index 00000000000..7ade7702f83
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scatterpolargl", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_textsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_textsrc.py
new file mode 100644
index 00000000000..383f9c0361e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scatterpolargl", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_texttemplate.py b/packages/python/plotly/plotly/validators/scatterpolargl/_texttemplate.py
new file mode 100644
index 00000000000..05b56c3ba6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_texttemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="texttemplate", parent_name="scatterpolargl", **kwargs
+    ):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_texttemplatesrc.py
new file mode 100644
index 00000000000..69004e08707
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scatterpolargl", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_theta.py b/packages/python/plotly/plotly/validators/scatterpolargl/_theta.py
new file mode 100644
index 00000000000..e93c316ebb3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_theta.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="theta", parent_name="scatterpolargl", **kwargs):
+        super(ThetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_theta0.py b/packages/python/plotly/plotly/validators/scatterpolargl/_theta0.py
new file mode 100644
index 00000000000..3c700339e7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_theta0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Theta0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="theta0", parent_name="scatterpolargl", **kwargs):
+        super(Theta0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_thetasrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/_thetasrc.py
new file mode 100644
index 00000000000..aa10182f1d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_thetasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ThetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="thetasrc", parent_name="scatterpolargl", **kwargs):
+        super(ThetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_thetaunit.py b/packages/python/plotly/plotly/validators/scatterpolargl/_thetaunit.py
new file mode 100644
index 00000000000..64b363e79f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_thetaunit.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="thetaunit", parent_name="scatterpolargl", **kwargs):
+        super(ThetaunitValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["radians", "degrees", "gradians"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_uid.py b/packages/python/plotly/plotly/validators/scatterpolargl/_uid.py
new file mode 100644
index 00000000000..198c26e7cee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scatterpolargl", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_uirevision.py b/packages/python/plotly/plotly/validators/scatterpolargl/_uirevision.py
new file mode 100644
index 00000000000..c2e6a03d221
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="scatterpolargl", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_unselected.py b/packages/python/plotly/plotly/validators/scatterpolargl/_unselected.py
new file mode 100644
index 00000000000..c30b9667377
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_unselected.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="unselected", parent_name="scatterpolargl", **kwargs
+    ):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatterpolargl.uns
+                elected.Marker` instance or dict with
+                compatible properties
+            textfont
+                :class:`plotly.graph_objects.scatterpolargl.uns
+                elected.Textfont` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/_visible.py b/packages/python/plotly/plotly/validators/scatterpolargl/_visible.py
new file mode 100644
index 00000000000..4bd9ab93a45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatterpolargl", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/__init__.py
index ee44c00b56a..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/__init__.py
@@ -1,197 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="scatterpolargl.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="namelength",
-        parent_name="scatterpolargl.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scatterpolargl.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="scatterpolargl.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scatterpolargl.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolorsrc",
-        parent_name="scatterpolargl.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatterpolargl.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scatterpolargl.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scatterpolargl.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_align.py
new file mode 100644
index 00000000000..6bff2ccf199
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scatterpolargl.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..ba4384d0400
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scatterpolargl.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..58e6219b177
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatterpolargl.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..958f18195e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolorsrc",
+        parent_name="scatterpolargl.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..33f585af349
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scatterpolargl.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..747c4a2721e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="scatterpolargl.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_font.py
new file mode 100644
index 00000000000..0e8d9b15ebd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scatterpolargl.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f8395547fa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_namelength.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="namelength",
+        parent_name="scatterpolargl.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..1dbe9ce4dfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="scatterpolargl.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/__init__.py
index 54c6ce0b344..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/__init__.py
@@ -1,115 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="scatterpolargl.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolargl.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="scatterpolargl.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterpolargl.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scatterpolargl.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..2e6047d7891
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..d5bd7d3da9c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scatterpolargl.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..3fbbeaa0133
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterpolargl.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..1fa56ff1459
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="scatterpolargl.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..a05e0ce3d3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolargl.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..9e6798ac15a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="scatterpolargl.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/line/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/line/__init__.py
index 33552f31e0d..a5e1facdfc3 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/line/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatterpolargl.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="shape", parent_name="scatterpolargl.line", **kwargs
-    ):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["linear", "hv", "vh", "hvh", "vhv"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="dash", parent_name="scatterpolargl.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolargl.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._shape import ShapeValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._shape.ShapeValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/line/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/line/_color.py
new file mode 100644
index 00000000000..2e8273392e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolargl.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/line/_dash.py b/packages/python/plotly/plotly/validators/scatterpolargl/line/_dash.py
new file mode 100644
index 00000000000..fa179cf2c58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="dash", parent_name="scatterpolargl.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/line/_shape.py b/packages/python/plotly/plotly/validators/scatterpolargl/line/_shape.py
new file mode 100644
index 00000000000..34f453dd4c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/line/_shape.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="shape", parent_name="scatterpolargl.line", **kwargs
+    ):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["linear", "hv", "vh", "hvh", "vhv"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/line/_width.py b/packages/python/plotly/plotly/validators/scatterpolargl/line/_width.py
new file mode 100644
index 00000000000..4622784537f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatterpolargl.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/__init__.py
index 1ac40bf6d47..33bd66663fd 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/__init__.py
@@ -1,970 +1,56 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizeref", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                polargl.marker.colorbar.Tickformatstop`
-                instances or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scatterpolargl.marker.colorbar.tickformatstop
-                defaults), sets the default property values to
-                use for elements of
-                scatterpolargl.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scatterpolargl.mar
-                ker.colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                scatterpolargl.marker.colorbar.title.font
-                instead. Sets this color bar's title font. Note
-                that the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scatterpolargl.marker.colorbar.title.side
-                instead. Determines the location of color bar's
-                title with respect to the color bar. Note that
-                the title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatterpolargl.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatterpolargl.marker", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scatterpolargl.marker",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_autocolorscale.py
new file mode 100644
index 00000000000..44d85b1a8bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scatterpolargl.marker",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cauto.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cauto.py
new file mode 100644
index 00000000000..beb4329ce35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmax.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmax.py
new file mode 100644
index 00000000000..6f19f274196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmid.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmid.py
new file mode 100644
index 00000000000..d7866b4955a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmin.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmin.py
new file mode 100644
index 00000000000..d563757261d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_color.py
new file mode 100644
index 00000000000..4181c017d82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatterpolargl.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_coloraxis.py
new file mode 100644
index 00000000000..51e73c868b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorbar.py
new file mode 100644
index 00000000000..f45d87f201b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                polargl.marker.colorbar.Tickformatstop`
+                instances or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scatterpolargl.marker.colorbar.tickformatstop
+                defaults), sets the default property values to
+                use for elements of
+                scatterpolargl.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scatterpolargl.mar
+                ker.colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                scatterpolargl.marker.colorbar.title.font
+                instead. Sets this color bar's title font. Note
+                that the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scatterpolargl.marker.colorbar.title.side
+                instead. Determines the location of color bar's
+                title with respect to the color bar. Note that
+                the title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorscale.py
new file mode 100644
index 00000000000..12718e17240
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorsrc.py
new file mode 100644
index 00000000000..c47cb6940ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_line.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_line.py
new file mode 100644
index 00000000000..5c2ae304636
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_line.py
@@ -0,0 +1,106 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_opacity.py
new file mode 100644
index 00000000000..b0519405180
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_opacitysrc.py
new file mode 100644
index 00000000000..f0c77393363
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_reversescale.py
new file mode 100644
index 00000000000..f891637d3d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_showscale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_showscale.py
new file mode 100644
index 00000000000..2140eacbc19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_size.py
new file mode 100644
index 00000000000..57e852ff377
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizemin.py
new file mode 100644
index 00000000000..83858f931cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizemin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizemode.py
new file mode 100644
index 00000000000..63361396940
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizeref.py
new file mode 100644
index 00000000000..8e084b04abb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizeref.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizeref", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizesrc.py
new file mode 100644
index 00000000000..df609ad89d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_symbol.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_symbol.py
new file mode 100644
index 00000000000..f7fdf95e95e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_symbol.py
@@ -0,0 +1,304 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_symbolsrc.py
new file mode 100644
index 00000000000..03021ed9378
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scatterpolargl.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/__init__.py
index 8ab16766d59..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/__init__.py
@@ -1,873 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scatterpolargl.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="yanchor",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scatterpolargl.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scatterpolargl.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="xanchor",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scatterpolargl.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self,
-        plotly_name="title",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickvals",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="ticktext",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="ticks",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="tickmode",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="ticklen",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickfont",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self,
-        plotly_name="tick0",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="nticks",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="lenmode",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scatterpolargl.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self,
-        plotly_name="dtick",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="scatterpolargl.marker.colorbar",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..13e9f46ffc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..93fe2c44f59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..876509ef89d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..8141e4b2a72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_dtick.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self,
+        plotly_name="dtick",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..b610949945e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_len.py
new file mode 100644
index 00000000000..03d8d7de2b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scatterpolargl.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..4cec85a062d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_lenmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="lenmode",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..b90ba424616
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_nticks.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="nticks",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..fd21693cff3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..159d7f41cbe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..09f7a04df36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..5754ca0f409
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..b1a8a33dd5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..11fcc6ab0bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..30c64856f99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..c964d17861a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..ee2573098b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..7f2b41ed46e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tick0.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self,
+        plotly_name="tick0",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..912db14bf24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..1b877b581fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..4ae94be6758
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickfont",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..063376aa901
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..6d27ebdca1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..0ef33576f80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..0f2018847ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticklen.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="ticklen",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..1206ee2c6bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickmode.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="tickmode",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..f0d197c2024
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..358bfa4049b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticks.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="ticks",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..1d82fa1c029
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..41fa09f9f38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticktext.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="ticktext",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..b95e0386930
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..9803a9fda35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickvals.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickvals",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..29564354edf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..0fcd880c96f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_title.py
new file mode 100644
index 00000000000..c5bac5dfd2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_title.py
@@ -0,0 +1,36 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self,
+        plotly_name="title",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_x.py
new file mode 100644
index 00000000000..87d673da882
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scatterpolargl.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..a76e963b2d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_xanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="xanchor",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..17ddca86bb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scatterpolargl.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_y.py
new file mode 100644
index 00000000000..c42cf98ca2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scatterpolargl.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..7b1b5ddd8f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_yanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="yanchor",
+        parent_name="scatterpolargl.marker.colorbar",
+        **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..35a6161302b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scatterpolargl.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/__init__.py
index a5a3cce7f87..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterpolargl.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterpolargl.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..970680b7fd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..3aff2a08ed6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterpolargl.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..a1dca47d6df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterpolargl.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/__init__.py
index 52bfefa5293..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..689fcd9901e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..efe346ade20
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..4eb0ea9c722
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..498842b896b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..ede54658b1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scatterpolargl.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/__init__.py
index 0df1a1c7d23..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scatterpolargl.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scatterpolargl.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scatterpolargl.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..789c06da4d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scatterpolargl.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..399b977b5fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scatterpolargl.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..626fe74ba3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scatterpolargl.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/__init__.py
index e3023245993..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterpolargl.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterpolargl.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..b09b9998061
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..bacd111ec39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterpolargl.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..06360e03568
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterpolargl.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/__init__.py
index 453035f51de..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/__init__.py
@@ -1,216 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="reversescale",
-        parent_name="scatterpolargl.marker.line",
-        **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self,
-        plotly_name="colorscale",
-        parent_name="scatterpolargl.marker.line",
-        **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self,
-        plotly_name="coloraxis",
-        parent_name="scatterpolargl.marker.line",
-        **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatterpolargl.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatterpolargl.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scatterpolargl.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..2e8f0f60256
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scatterpolargl.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cauto.py
new file mode 100644
index 00000000000..7bfaf5ae2f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmax.py
new file mode 100644
index 00000000000..0f798c09554
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmid.py
new file mode 100644
index 00000000000..5f6c1e2be1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmin.py
new file mode 100644
index 00000000000..74dc7ae9152
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_color.py
new file mode 100644
index 00000000000..99a1de6d747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatterpolargl.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..acfa25439c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_coloraxis.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self,
+        plotly_name="coloraxis",
+        parent_name="scatterpolargl.marker.line",
+        **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_colorscale.py
new file mode 100644
index 00000000000..26752c3a14e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_colorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self,
+        plotly_name="colorscale",
+        parent_name="scatterpolargl.marker.line",
+        **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..12fcb9721a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_reversescale.py
new file mode 100644
index 00000000000..18c6f56137e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_reversescale.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="reversescale",
+        parent_name="scatterpolargl.marker.line",
+        **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_width.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_width.py
new file mode 100644
index 00000000000..e0b8f8ee48c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..1d44739feaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scatterpolargl.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/__init__.py
index 8d0c643518d..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/__init__.py
@@ -1,46 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatterpolargl.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatterpolargl.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/_marker.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/_marker.py
new file mode 100644
index 00000000000..fde7d3e098c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatterpolargl.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/_textfont.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/_textfont.py
new file mode 100644
index 00000000000..43981e52cd0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatterpolargl.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/__init__.py
index 03b6daba3ba..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/__init__.py
@@ -1,55 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolargl.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scatterpolargl.selected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.selected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_color.py
new file mode 100644
index 00000000000..931550a709c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.selected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_opacity.py
new file mode 100644
index 00000000000..453b18d9a58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scatterpolargl.selected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_size.py
new file mode 100644
index 00000000000..a76473878df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolargl.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/__init__.py
index dc20c42406b..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.selected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/_color.py
new file mode 100644
index 00000000000..dc20c42406b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/selected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.selected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/stream/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/stream/__init__.py
index bc8b13ab6f8..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="scatterpolargl.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scatterpolargl.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scatterpolargl/stream/_maxpoints.py
new file mode 100644
index 00000000000..dbe407784ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scatterpolargl.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/stream/_token.py b/packages/python/plotly/plotly/validators/scatterpolargl/stream/_token.py
new file mode 100644
index 00000000000..0177ddf2dc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="scatterpolargl.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/__init__.py
index 8a7187c935b..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatterpolargl.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterpolargl.textfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scatterpolargl.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatterpolargl.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterpolargl.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterpolargl.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_color.py
new file mode 100644
index 00000000000..c907d478ba0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterpolargl.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_colorsrc.py
new file mode 100644
index 00000000000..0baabb5c641
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterpolargl.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_family.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_family.py
new file mode 100644
index 00000000000..ec9587f91cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatterpolargl.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_familysrc.py
new file mode 100644
index 00000000000..9a3bade6c02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scatterpolargl.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_size.py
new file mode 100644
index 00000000000..ada9ea63ad4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterpolargl.textfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_sizesrc.py
new file mode 100644
index 00000000000..25bb0bdf6b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatterpolargl.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/__init__.py
index 34dcc51e6e8..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatterpolargl.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatterpolargl.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/_marker.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/_marker.py
new file mode 100644
index 00000000000..e7ad8b1b02c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatterpolargl.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/_textfont.py
new file mode 100644
index 00000000000..e82de729307
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatterpolargl.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/__init__.py
index c4483184c16..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/__init__.py
@@ -1,58 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterpolargl.unselected.marker",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scatterpolargl.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.unselected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_color.py
new file mode 100644
index 00000000000..3ac2925b104
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.unselected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..4d7ca1b1aa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scatterpolargl.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_size.py
new file mode 100644
index 00000000000..867af452dda
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/marker/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterpolargl.unselected.marker",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/__init__.py
index 5f0de35f082..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterpolargl.unselected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/_color.py
new file mode 100644
index 00000000000..5f0de35f082
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterpolargl/unselected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterpolargl.unselected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/__init__.py
index 74b6ecb476e..41e4234a688 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/__init__.py
@@ -1,992 +1,106 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="scatterternary", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="unselected", parent_name="scatterternary", **kwargs
-    ):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatterternary.uns
-                elected.Marker` instance or dict with
-                compatible properties
-            textfont
-                :class:`plotly.graph_objects.scatterternary.uns
-                elected.Textfont` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="uirevision", parent_name="scatterternary", **kwargs
-    ):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="scatterternary", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="scatterternary", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="texttemplate", parent_name="scatterternary", **kwargs
-    ):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="scatterternary", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="scatterternary", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="textposition", parent_name="scatterternary", **kwargs
-    ):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="scatterternary", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="scatterternary", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SumValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sum", parent_name="scatterternary", **kwargs):
-        super(SumValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="subplot", parent_name="scatterternary", **kwargs):
-        super(SubplotValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "ternary"),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="scatterternary", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showlegend", parent_name="scatterternary", **kwargs
-    ):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="selectedpoints", parent_name="scatterternary", **kwargs
-    ):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="scatterternary", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.scatterternary.sel
-                ected.Marker` instance or dict with compatible
-                properties
-            textfont
-                :class:`plotly.graph_objects.scatterternary.sel
-                ected.Textfont` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="scatterternary", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="scatterternary", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="mode", parent_name="scatterternary", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="scatterternary", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="scatterternary", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="scatterternary", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.scatterternary.mar
-                ker.ColorBar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            gradient
-                :class:`plotly.graph_objects.scatterternary.mar
-                ker.Gradient` instance or dict with compatible
-                properties
-            line
-                :class:`plotly.graph_objects.scatterternary.mar
-                ker.Line` instance or dict with compatible
-                properties
-            maxdisplayed
-                Sets a maximum number of points to be drawn on
-                the graph. 0 corresponds to no limit.
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="scatterternary", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            shape
-                Determines the line shape. With "spline" the
-                lines are drawn using spline interpolation. The
-                other available values correspond to step-wise
-                line shapes.
-            smoothing
-                Has an effect only if `shape` is set to
-                "spline" Sets the amount of smoothing. 0
-                corresponds to no smoothing (equivalent to a
-                "linear" shape).
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="legendgroup", parent_name="scatterternary", **kwargs
-    ):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="scatterternary", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="scatterternary", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertextsrc", parent_name="scatterternary", **kwargs
-    ):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="scatterternary", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="scatterternary", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="hovertemplate", parent_name="scatterternary", **kwargs
-    ):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="scatterternary", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            flags=kwargs.pop("flags", ["points", "fills"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="hoverlabel", parent_name="scatterternary", **kwargs
-    ):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hoverinfosrc", parent_name="scatterternary", **kwargs
-    ):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="scatterternary", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["a", "b", "c", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="scatterternary", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="fill", parent_name="scatterternary", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "toself", "tonext"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="customdatasrc", parent_name="scatterternary", **kwargs
-    ):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="customdata", parent_name="scatterternary", **kwargs
-    ):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="csrc", parent_name="scatterternary", **kwargs):
-        super(CsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="connectgaps", parent_name="scatterternary", **kwargs
-    ):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cliponaxis", parent_name="scatterternary", **kwargs
-    ):
-        super(CliponaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="c", parent_name="scatterternary", **kwargs):
-        super(CValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="bsrc", parent_name="scatterternary", **kwargs):
-        super(BsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="b", parent_name="scatterternary", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="asrc", parent_name="scatterternary", **kwargs):
-        super(AsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="a", parent_name="scatterternary", **kwargs):
-        super(AValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._sum import SumValidator
+    from ._subplot import SubplotValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._mode import ModeValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._fill import FillValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._csrc import CsrcValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._cliponaxis import CliponaxisValidator
+    from ._c import CValidator
+    from ._bsrc import BsrcValidator
+    from ._b import BValidator
+    from ._asrc import AsrcValidator
+    from ._a import AValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._sum.SumValidator",
+            "._subplot.SubplotValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._mode.ModeValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._fill.FillValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._csrc.CsrcValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._cliponaxis.CliponaxisValidator",
+            "._c.CValidator",
+            "._bsrc.BsrcValidator",
+            "._b.BValidator",
+            "._asrc.AsrcValidator",
+            "._a.AValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_a.py b/packages/python/plotly/plotly/validators/scatterternary/_a.py
new file mode 100644
index 00000000000..8408461f3a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_a.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="a", parent_name="scatterternary", **kwargs):
+        super(AValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_asrc.py b/packages/python/plotly/plotly/validators/scatterternary/_asrc.py
new file mode 100644
index 00000000000..32366581d42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_asrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="asrc", parent_name="scatterternary", **kwargs):
+        super(AsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_b.py b/packages/python/plotly/plotly/validators/scatterternary/_b.py
new file mode 100644
index 00000000000..74a859e5fc0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_b.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="b", parent_name="scatterternary", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_bsrc.py b/packages/python/plotly/plotly/validators/scatterternary/_bsrc.py
new file mode 100644
index 00000000000..854997b38bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_bsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="bsrc", parent_name="scatterternary", **kwargs):
+        super(BsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_c.py b/packages/python/plotly/plotly/validators/scatterternary/_c.py
new file mode 100644
index 00000000000..2a064fc4a67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_c.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="c", parent_name="scatterternary", **kwargs):
+        super(CValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_cliponaxis.py b/packages/python/plotly/plotly/validators/scatterternary/_cliponaxis.py
new file mode 100644
index 00000000000..3a3f477d0e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_cliponaxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cliponaxis", parent_name="scatterternary", **kwargs
+    ):
+        super(CliponaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_connectgaps.py b/packages/python/plotly/plotly/validators/scatterternary/_connectgaps.py
new file mode 100644
index 00000000000..5e0016c3422
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_connectgaps.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="connectgaps", parent_name="scatterternary", **kwargs
+    ):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_csrc.py b/packages/python/plotly/plotly/validators/scatterternary/_csrc.py
new file mode 100644
index 00000000000..25a37e50c7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_csrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="csrc", parent_name="scatterternary", **kwargs):
+        super(CsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_customdata.py b/packages/python/plotly/plotly/validators/scatterternary/_customdata.py
new file mode 100644
index 00000000000..d598e3f8cf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_customdata.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="customdata", parent_name="scatterternary", **kwargs
+    ):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_customdatasrc.py b/packages/python/plotly/plotly/validators/scatterternary/_customdatasrc.py
new file mode 100644
index 00000000000..26b0ef364a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_customdatasrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="customdatasrc", parent_name="scatterternary", **kwargs
+    ):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_fill.py b/packages/python/plotly/plotly/validators/scatterternary/_fill.py
new file mode 100644
index 00000000000..3bed07c7c29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_fill.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="fill", parent_name="scatterternary", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "toself", "tonext"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_fillcolor.py b/packages/python/plotly/plotly/validators/scatterternary/_fillcolor.py
new file mode 100644
index 00000000000..f4deab110b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="scatterternary", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hoverinfo.py b/packages/python/plotly/plotly/validators/scatterternary/_hoverinfo.py
new file mode 100644
index 00000000000..045140fff0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="scatterternary", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["a", "b", "c", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/scatterternary/_hoverinfosrc.py
new file mode 100644
index 00000000000..9890146bd8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hoverinfosrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hoverinfosrc", parent_name="scatterternary", **kwargs
+    ):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hoverlabel.py b/packages/python/plotly/plotly/validators/scatterternary/_hoverlabel.py
new file mode 100644
index 00000000000..529a4f9cc40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hoverlabel.py
@@ -0,0 +1,53 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="hoverlabel", parent_name="scatterternary", **kwargs
+    ):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hoveron.py b/packages/python/plotly/plotly/validators/scatterternary/_hoveron.py
new file mode 100644
index 00000000000..64a05f98f90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hoveron.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="scatterternary", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            flags=kwargs.pop("flags", ["points", "fills"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hovertemplate.py b/packages/python/plotly/plotly/validators/scatterternary/_hovertemplate.py
new file mode 100644
index 00000000000..39863ce7e2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hovertemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="hovertemplate", parent_name="scatterternary", **kwargs
+    ):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/scatterternary/_hovertemplatesrc.py
new file mode 100644
index 00000000000..83888154452
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="scatterternary", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hovertext.py b/packages/python/plotly/plotly/validators/scatterternary/_hovertext.py
new file mode 100644
index 00000000000..9df8cbf392e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="scatterternary", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_hovertextsrc.py b/packages/python/plotly/plotly/validators/scatterternary/_hovertextsrc.py
new file mode 100644
index 00000000000..fe00590b448
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_hovertextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertextsrc", parent_name="scatterternary", **kwargs
+    ):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_ids.py b/packages/python/plotly/plotly/validators/scatterternary/_ids.py
new file mode 100644
index 00000000000..63bdd07e7fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="scatterternary", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_idssrc.py b/packages/python/plotly/plotly/validators/scatterternary/_idssrc.py
new file mode 100644
index 00000000000..684db633557
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="scatterternary", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_legendgroup.py b/packages/python/plotly/plotly/validators/scatterternary/_legendgroup.py
new file mode 100644
index 00000000000..753d80e839e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_legendgroup.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="legendgroup", parent_name="scatterternary", **kwargs
+    ):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_line.py b/packages/python/plotly/plotly/validators/scatterternary/_line.py
new file mode 100644
index 00000000000..05d70f36fab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_line.py
@@ -0,0 +1,35 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="scatterternary", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            shape
+                Determines the line shape. With "spline" the
+                lines are drawn using spline interpolation. The
+                other available values correspond to step-wise
+                line shapes.
+            smoothing
+                Has an effect only if `shape` is set to
+                "spline" Sets the amount of smoothing. 0
+                corresponds to no smoothing (equivalent to a
+                "linear" shape).
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_marker.py b/packages/python/plotly/plotly/validators/scatterternary/_marker.py
new file mode 100644
index 00000000000..0d16da7e4fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_marker.py
@@ -0,0 +1,147 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="scatterternary", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.scatterternary.mar
+                ker.ColorBar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            gradient
+                :class:`plotly.graph_objects.scatterternary.mar
+                ker.Gradient` instance or dict with compatible
+                properties
+            line
+                :class:`plotly.graph_objects.scatterternary.mar
+                ker.Line` instance or dict with compatible
+                properties
+            maxdisplayed
+                Sets a maximum number of points to be drawn on
+                the graph. 0 corresponds to no limit.
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_meta.py b/packages/python/plotly/plotly/validators/scatterternary/_meta.py
new file mode 100644
index 00000000000..09ae9a2f77e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="scatterternary", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_metasrc.py b/packages/python/plotly/plotly/validators/scatterternary/_metasrc.py
new file mode 100644
index 00000000000..bd765a8ee19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="scatterternary", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_mode.py b/packages/python/plotly/plotly/validators/scatterternary/_mode.py
new file mode 100644
index 00000000000..359dd5b82ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_mode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="mode", parent_name="scatterternary", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["lines", "markers", "text"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_name.py b/packages/python/plotly/plotly/validators/scatterternary/_name.py
new file mode 100644
index 00000000000..857b456e212
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="scatterternary", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_opacity.py b/packages/python/plotly/plotly/validators/scatterternary/_opacity.py
new file mode 100644
index 00000000000..3ac82145bef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="scatterternary", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_selected.py b/packages/python/plotly/plotly/validators/scatterternary/_selected.py
new file mode 100644
index 00000000000..f023647b3e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_selected.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="scatterternary", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatterternary.sel
+                ected.Marker` instance or dict with compatible
+                properties
+            textfont
+                :class:`plotly.graph_objects.scatterternary.sel
+                ected.Textfont` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_selectedpoints.py b/packages/python/plotly/plotly/validators/scatterternary/_selectedpoints.py
new file mode 100644
index 00000000000..388ec021112
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_selectedpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="selectedpoints", parent_name="scatterternary", **kwargs
+    ):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_showlegend.py b/packages/python/plotly/plotly/validators/scatterternary/_showlegend.py
new file mode 100644
index 00000000000..7d02a2ce4ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_showlegend.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showlegend", parent_name="scatterternary", **kwargs
+    ):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_stream.py b/packages/python/plotly/plotly/validators/scatterternary/_stream.py
new file mode 100644
index 00000000000..f100517c2e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="scatterternary", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_subplot.py b/packages/python/plotly/plotly/validators/scatterternary/_subplot.py
new file mode 100644
index 00000000000..4e4fc721ad0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_subplot.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SubplotValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="subplot", parent_name="scatterternary", **kwargs):
+        super(SubplotValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "ternary"),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_sum.py b/packages/python/plotly/plotly/validators/scatterternary/_sum.py
new file mode 100644
index 00000000000..80508176c02
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_sum.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SumValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sum", parent_name="scatterternary", **kwargs):
+        super(SumValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_text.py b/packages/python/plotly/plotly/validators/scatterternary/_text.py
new file mode 100644
index 00000000000..75836732892
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="scatterternary", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_textfont.py b/packages/python/plotly/plotly/validators/scatterternary/_textfont.py
new file mode 100644
index 00000000000..29aff06b762
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="scatterternary", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_textposition.py b/packages/python/plotly/plotly/validators/scatterternary/_textposition.py
new file mode 100644
index 00000000000..9ba91539b8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_textposition.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="textposition", parent_name="scatterternary", **kwargs
+    ):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_textpositionsrc.py b/packages/python/plotly/plotly/validators/scatterternary/_textpositionsrc.py
new file mode 100644
index 00000000000..b3a43dd32ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="scatterternary", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_textsrc.py b/packages/python/plotly/plotly/validators/scatterternary/_textsrc.py
new file mode 100644
index 00000000000..5c95ed00571
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="scatterternary", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_texttemplate.py b/packages/python/plotly/plotly/validators/scatterternary/_texttemplate.py
new file mode 100644
index 00000000000..4ebb0fb9d47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_texttemplate.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="texttemplate", parent_name="scatterternary", **kwargs
+    ):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/scatterternary/_texttemplatesrc.py
new file mode 100644
index 00000000000..6abf60df48e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="scatterternary", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_uid.py b/packages/python/plotly/plotly/validators/scatterternary/_uid.py
new file mode 100644
index 00000000000..8bd4c1cb3dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="scatterternary", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_uirevision.py b/packages/python/plotly/plotly/validators/scatterternary/_uirevision.py
new file mode 100644
index 00000000000..48b0aa9a592
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_uirevision.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="uirevision", parent_name="scatterternary", **kwargs
+    ):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_unselected.py b/packages/python/plotly/plotly/validators/scatterternary/_unselected.py
new file mode 100644
index 00000000000..288877b54b8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_unselected.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="unselected", parent_name="scatterternary", **kwargs
+    ):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.scatterternary.uns
+                elected.Marker` instance or dict with
+                compatible properties
+            textfont
+                :class:`plotly.graph_objects.scatterternary.uns
+                elected.Textfont` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/_visible.py b/packages/python/plotly/plotly/validators/scatterternary/_visible.py
new file mode 100644
index 00000000000..0b3e69677af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="scatterternary", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/__init__.py
index c1e46b3d0ea..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/__init__.py
@@ -1,197 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="namelengthsrc",
-        parent_name="scatterternary.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="namelength",
-        parent_name="scatterternary.hoverlabel",
-        **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="scatterternary.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="scatterternary.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scatterternary.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolorsrc",
-        parent_name="scatterternary.hoverlabel",
-        **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="scatterternary.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="scatterternary.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="scatterternary.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_align.py
new file mode 100644
index 00000000000..ace2908b2f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="scatterternary.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..57eda32172f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="scatterternary.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..c88b4cae3ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="scatterternary.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..df29f34801a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolorsrc",
+        parent_name="scatterternary.hoverlabel",
+        **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..7aa7dfc1271
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bordercolor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scatterternary.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..7f4bab64097
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="scatterternary.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_font.py
new file mode 100644
index 00000000000..149f3734ce0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="scatterternary.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..7cee3241c3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_namelength.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="namelength",
+        parent_name="scatterternary.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..c97ecb3898a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="namelengthsrc",
+        parent_name="scatterternary.hoverlabel",
+        **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/__init__.py
index d5effbd57a8..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/__init__.py
@@ -1,115 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="sizesrc",
-        parent_name="scatterternary.hoverlabel.font",
-        **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterternary.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="scatterternary.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterternary.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scatterternary.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.hoverlabel.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..1eea4ddb926
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..a9011be7e3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scatterternary.hoverlabel.font",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..c7649dc0313
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_family.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterternary.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..2be3525c3e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="scatterternary.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..0a3eb89c65d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterternary.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..2037f04c915
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="sizesrc",
+        parent_name="scatterternary.hoverlabel.font",
+        **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/line/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/line/__init__.py
index 309e7a0d732..73e814e94f3 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/line/__init__.py
@@ -1,83 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatterternary.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="smoothing", parent_name="scatterternary.line", **kwargs
-    ):
-        super(SmoothingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1.3),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="shape", parent_name="scatterternary.line", **kwargs
-    ):
-        super(ShapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["linear", "spline"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.DashValidator):
-    def __init__(self, plotly_name="dash", parent_name="scatterternary.line", **kwargs):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterternary.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._smoothing import SmoothingValidator
+    from ._shape import ShapeValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._smoothing.SmoothingValidator",
+            "._shape.ShapeValidator",
+            "._dash.DashValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/line/_color.py b/packages/python/plotly/plotly/validators/scatterternary/line/_color.py
new file mode 100644
index 00000000000..d3888381f7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterternary.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/line/_dash.py b/packages/python/plotly/plotly/validators/scatterternary/line/_dash.py
new file mode 100644
index 00000000000..a05026167e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/line/_dash.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.DashValidator):
+    def __init__(self, plotly_name="dash", parent_name="scatterternary.line", **kwargs):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/line/_shape.py b/packages/python/plotly/plotly/validators/scatterternary/line/_shape.py
new file mode 100644
index 00000000000..74dcf83e26a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/line/_shape.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="shape", parent_name="scatterternary.line", **kwargs
+    ):
+        super(ShapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["linear", "spline"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/line/_smoothing.py b/packages/python/plotly/plotly/validators/scatterternary/line/_smoothing.py
new file mode 100644
index 00000000000..60ca353bfe6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/line/_smoothing.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SmoothingValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="smoothing", parent_name="scatterternary.line", **kwargs
+    ):
+        super(SmoothingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1.3),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/line/_width.py b/packages/python/plotly/plotly/validators/scatterternary/line/_width.py
new file mode 100644
index 00000000000..91dc06743ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatterternary.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/__init__.py
index 564d0c6657d..bcd2242a57a 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/__init__.py
@@ -1,1020 +1,60 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="symbolsrc", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="symbol", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizeref", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="sizemode", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="sizemin", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="opacitysrc", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxdisplayed", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(MaxdisplayedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="gradient", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(GradientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Gradient"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the final color of the gradient fill: the
-                center color for radial, the right for
-                horizontal, or the bottom for vertical.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            type
-                Sets the type of gradient used to fill the
-                markers
-            typesrc
-                Sets the source reference on Chart Studio Cloud
-                for  type .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="colorbar", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.scatter
-                ternary.marker.colorbar.Tickformatstop`
-                instances or dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.scatterternary.marker.colorbar.tickformatstop
-                defaults), sets the default property values to
-                use for elements of
-                scatterternary.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.scatterternary.mar
-                ker.colorbar.Title` instance or dict with
-                compatible properties
-            titlefont
-                Deprecated: Please use
-                scatterternary.marker.colorbar.title.font
-                instead. Sets this color bar's title font. Note
-                that the title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                scatterternary.marker.colorbar.title.side
-                instead. Determines the location of color bar's
-                title with respect to the color bar. Note that
-                the title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatterternary.marker.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatterternary.marker", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scatterternary.marker",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._maxdisplayed import MaxdisplayedValidator
+    from ._line import LineValidator
+    from ._gradient import GradientValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._maxdisplayed.MaxdisplayedValidator",
+            "._line.LineValidator",
+            "._gradient.GradientValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_autocolorscale.py
new file mode 100644
index 00000000000..4cfe1ead345
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scatterternary.marker",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_cauto.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_cauto.py
new file mode 100644
index 00000000000..3d23910a99f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_cmax.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_cmax.py
new file mode 100644
index 00000000000..be78cb54d47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_cmid.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_cmid.py
new file mode 100644
index 00000000000..5eb1b37574b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_cmin.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_cmin.py
new file mode 100644
index 00000000000..bd623631b68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_color.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_color.py
new file mode 100644
index 00000000000..cdd9512216d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatterternary.marker.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_coloraxis.py
new file mode 100644
index 00000000000..72979e71093
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_colorbar.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_colorbar.py
new file mode 100644
index 00000000000..077b2107ac1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_colorbar.py
@@ -0,0 +1,230 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="colorbar", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.scatter
+                ternary.marker.colorbar.Tickformatstop`
+                instances or dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.scatterternary.marker.colorbar.tickformatstop
+                defaults), sets the default property values to
+                use for elements of
+                scatterternary.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.scatterternary.mar
+                ker.colorbar.Title` instance or dict with
+                compatible properties
+            titlefont
+                Deprecated: Please use
+                scatterternary.marker.colorbar.title.font
+                instead. Sets this color bar's title font. Note
+                that the title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                scatterternary.marker.colorbar.title.side
+                instead. Determines the location of color bar's
+                title with respect to the color bar. Note that
+                the title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_colorscale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_colorscale.py
new file mode 100644
index 00000000000..53f26bbfff8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_colorsrc.py
new file mode 100644
index 00000000000..5a7dff4b813
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_gradient.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_gradient.py
new file mode 100644
index 00000000000..88d6f13a84f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_gradient.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="gradient", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(GradientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Gradient"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the final color of the gradient fill: the
+                center color for radial, the right for
+                horizontal, or the bottom for vertical.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            type
+                Sets the type of gradient used to fill the
+                markers
+            typesrc
+                Sets the source reference on Chart Studio Cloud
+                for  type .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_line.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_line.py
new file mode 100644
index 00000000000..47d6c327869
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_line.py
@@ -0,0 +1,106 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_maxdisplayed.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_maxdisplayed.py
new file mode 100644
index 00000000000..756d55dc257
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_maxdisplayed.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdisplayedValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxdisplayed", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(MaxdisplayedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_opacity.py
new file mode 100644
index 00000000000..8122309d6a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_opacity.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_opacitysrc.py
new file mode 100644
index 00000000000..6e5fbe2c5a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_opacitysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="opacitysrc", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_reversescale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_reversescale.py
new file mode 100644
index 00000000000..6775bdaeaff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_showscale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_showscale.py
new file mode 100644
index 00000000000..65d538aad23
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_size.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_size.py
new file mode 100644
index 00000000000..fed9edaab2b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_sizemin.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizemin.py
new file mode 100644
index 00000000000..06c1f142f76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizemin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizemin", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_sizemode.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizemode.py
new file mode 100644
index 00000000000..c219ab7fab6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizemode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="sizemode", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_sizeref.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizeref.py
new file mode 100644
index 00000000000..828002263fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizeref.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="sizeref", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizesrc.py
new file mode 100644
index 00000000000..c7369d12f7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_symbol.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_symbol.py
new file mode 100644
index 00000000000..c4fefee3ad2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_symbol.py
@@ -0,0 +1,304 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="symbol", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/_symbolsrc.py
new file mode 100644
index 00000000000..0e891820cee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/_symbolsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="symbolsrc", parent_name="scatterternary.marker", **kwargs
+    ):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/__init__.py
index 8db8f82db20..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/__init__.py
@@ -1,873 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="scatterternary.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="yanchor",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="scatterternary.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="scatterternary.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="xanchor",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="scatterternary.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self,
-        plotly_name="title",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="tickwidth",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickvals",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self,
-        plotly_name="ticktext",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="ticksuffix",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="ticks",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickprefix",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="tickmode",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="ticklen",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="tickformat",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickfont",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="tickcolor",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self,
-        plotly_name="tickangle",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self,
-        plotly_name="tick0",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="thickness",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self,
-        plotly_name="nticks",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="lenmode",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="scatterternary.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self,
-        plotly_name="dtick",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bgcolor",
-        parent_name="scatterternary.marker.colorbar",
-        **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..dc50d75124e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_bgcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bgcolor",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..bb140982f0a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..d73da0f482d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..9585b3620f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_dtick.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self,
+        plotly_name="dtick",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..b57b563a6d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_len.py
new file mode 100644
index 00000000000..3410b08a05d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="scatterternary.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..becd2bacbf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_lenmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="lenmode",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..9fe88fc5c6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_nticks.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self,
+        plotly_name="nticks",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..06993e346c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..6770a97d667
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..3e0f9b7cfc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..bfa74091476
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..afecf3e6aa2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..aa9dcbf66ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..919f132f7eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..d957929f2b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_thickness.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="thickness",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..b314aa79e5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..00bdeb6f13d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tick0.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self,
+        plotly_name="tick0",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..4569c2c750b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickangle.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self,
+        plotly_name="tickangle",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..f8989bf7f3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickcolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="tickcolor",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..46569280abf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickfont.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickfont",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..1ebb5041b2f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformat.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickformat",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..6102421e282
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..d03647a9329
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..1ec763db658
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticklen.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="ticklen",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..65e38c50bfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickmode.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="tickmode",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..6364e8a7063
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickprefix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="tickprefix",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..eb2d3cb22e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticks.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="ticks",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..d144103fa62
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="ticksuffix",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..760efb84afe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticktext.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="ticktext",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..d8fdbebb973
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..6dfdff52c3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvals.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickvals",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..c1e5c59a666
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..8d41157b50e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="tickwidth",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_title.py
new file mode 100644
index 00000000000..5420ca5079a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_title.py
@@ -0,0 +1,36 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self,
+        plotly_name="title",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_x.py
new file mode 100644
index 00000000000..00f4be8da3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="scatterternary.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..31049737907
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_xanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="xanchor",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..7414c4239be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="scatterternary.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_y.py
new file mode 100644
index 00000000000..cf2527c3c5b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="scatterternary.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..ffac80ec0d2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_yanchor.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="yanchor",
+        parent_name="scatterternary.marker.colorbar",
+        **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..ffa05516cf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="scatterternary.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/__init__.py
index 494840b7fbf..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterternary.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterternary.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..1d915b82b8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..227484e0e0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterternary.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..7493fd150fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterternary.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/__init__.py
index 250a8521241..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="scatterternary.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="scatterternary.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="scatterternary.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="scatterternary.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="scatterternary.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..2974814023c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="scatterternary.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..fb7c9c4b61f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="scatterternary.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..6c266f70b7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="scatterternary.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..aad8e074ae1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="scatterternary.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..7e348e82dff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="scatterternary.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/__init__.py
index 24fa13cc63d..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/__init__.py
@@ -1,81 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="text",
-        parent_name="scatterternary.marker.colorbar.title",
-        **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="side",
-        parent_name="scatterternary.marker.colorbar.title",
-        **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="font",
-        parent_name="scatterternary.marker.colorbar.title",
-        **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..9d1575bc7eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_font.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="font",
+        parent_name="scatterternary.marker.colorbar.title",
+        **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..6a587829385
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_side.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="side",
+        parent_name="scatterternary.marker.colorbar.title",
+        **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..d9497acd9dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/_text.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="text",
+        parent_name="scatterternary.marker.colorbar.title",
+        **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/__init__.py
index 9f9fb0dd765..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterternary.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="scatterternary.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..6085b6dd563
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..d954bb37f28
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="scatterternary.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..bb3c1620a41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterternary.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/__init__.py
index b6749327fe3..5193d7a59a5 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/__init__.py
@@ -1,74 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="typesrc",
-        parent_name="scatterternary.marker.gradient",
-        **kwargs
-    ):
-        super(TypesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="scatterternary.marker.gradient", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="colorsrc",
-        parent_name="scatterternary.marker.gradient",
-        **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.marker.gradient",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._typesrc import TypesrcValidator
+    from ._type import TypeValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._typesrc.TypesrcValidator",
+            "._type.TypeValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_color.py b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_color.py
new file mode 100644
index 00000000000..ca336a1479f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.marker.gradient",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_colorsrc.py
new file mode 100644
index 00000000000..281f38ee357
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_colorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="colorsrc",
+        parent_name="scatterternary.marker.gradient",
+        **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_type.py b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_type.py
new file mode 100644
index 00000000000..2bb5fa8719d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_type.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="scatterternary.marker.gradient", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["radial", "horizontal", "vertical", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_typesrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_typesrc.py
new file mode 100644
index 00000000000..2a560d74305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/gradient/_typesrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="typesrc",
+        parent_name="scatterternary.marker.gradient",
+        **kwargs
+    ):
+        super(TypesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/__init__.py
index 5cba02c21d2..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/__init__.py
@@ -1,216 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="reversescale",
-        parent_name="scatterternary.marker.line",
-        **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self,
-        plotly_name="colorscale",
-        parent_name="scatterternary.marker.line",
-        **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self,
-        plotly_name="coloraxis",
-        parent_name="scatterternary.marker.line",
-        **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "scatterternary.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmin", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmid", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="cmax", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="cauto", parent_name="scatterternary.marker.line", **kwargs
-    ):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="autocolorscale",
-        parent_name="scatterternary.marker.line",
-        **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..1b8cda32052
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_autocolorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="autocolorscale",
+        parent_name="scatterternary.marker.line",
+        **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cauto.py
new file mode 100644
index 00000000000..a3372b7eda3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cauto.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="cauto", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmax.py
new file mode 100644
index 00000000000..7a8db686bb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmax.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmax", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmid.py
new file mode 100644
index 00000000000..85f2fbd4582
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmid.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmid", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmin.py
new file mode 100644
index 00000000000..1633f31cd22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_cmin.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="cmin", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_color.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_color.py
new file mode 100644
index 00000000000..d88d40f894e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "scatterternary.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..acfd6e0eee8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_coloraxis.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self,
+        plotly_name="coloraxis",
+        parent_name="scatterternary.marker.line",
+        **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_colorscale.py
new file mode 100644
index 00000000000..eb82479173f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_colorscale.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self,
+        plotly_name="colorscale",
+        parent_name="scatterternary.marker.line",
+        **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..5718f3b58d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_reversescale.py
new file mode 100644
index 00000000000..d71b795ce3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_reversescale.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="reversescale",
+        parent_name="scatterternary.marker.line",
+        **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_width.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_width.py
new file mode 100644
index 00000000000..603a608d56f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..e109339b20e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="scatterternary.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/selected/__init__.py
index 7381738c4c8..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/__init__.py
@@ -1,46 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatterternary.selected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of selected points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatterternary.selected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/_marker.py b/packages/python/plotly/plotly/validators/scatterternary/selected/_marker.py
new file mode 100644
index 00000000000..45c8e91a69a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatterternary.selected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/_textfont.py b/packages/python/plotly/plotly/validators/scatterternary/selected/_textfont.py
new file mode 100644
index 00000000000..058b4345711
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/_textfont.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatterternary.selected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/__init__.py
index 8062840b01a..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/__init__.py
@@ -1,55 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterternary.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scatterternary.selected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.selected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_color.py b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_color.py
new file mode 100644
index 00000000000..3e85732c038
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.selected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_opacity.py
new file mode 100644
index 00000000000..383e5a88bf1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scatterternary.selected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_size.py b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_size.py
new file mode 100644
index 00000000000..7eb95fe69d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterternary.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/__init__.py
index 93742c5e767..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.selected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/_color.py
new file mode 100644
index 00000000000..93742c5e767
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/selected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.selected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/stream/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/stream/__init__.py
index fdb6c1734da..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/stream/__init__.py
@@ -1,34 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="token", parent_name="scatterternary.stream", **kwargs
-    ):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="scatterternary.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/scatterternary/stream/_maxpoints.py
new file mode 100644
index 00000000000..f3bf8dfc181
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="scatterternary.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/stream/_token.py b/packages/python/plotly/plotly/validators/scatterternary/stream/_token.py
new file mode 100644
index 00000000000..ff7c79ede6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/stream/_token.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="token", parent_name="scatterternary.stream", **kwargs
+    ):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/__init__.py
index c0231cab710..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="scatterternary.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="scatterternary.textfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="scatterternary.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="scatterternary.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="scatterternary.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="scatterternary.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/_color.py
new file mode 100644
index 00000000000..cb61eb4a118
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="scatterternary.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/_colorsrc.py
new file mode 100644
index 00000000000..9b9d59eb202
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="scatterternary.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/_family.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/_family.py
new file mode 100644
index 00000000000..60967d40762
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="scatterternary.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/_familysrc.py
new file mode 100644
index 00000000000..a574ce7cedc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="scatterternary.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/_size.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/_size.py
new file mode 100644
index 00000000000..6e84203d8d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="scatterternary.textfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/scatterternary/textfont/_sizesrc.py
new file mode 100644
index 00000000000..0da183b90c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="scatterternary.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/__init__.py
index 28e61d62341..12e2c638682 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/__init__.py
@@ -1,50 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._textfont import TextfontValidator
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="textfont", parent_name="scatterternary.unselected", **kwargs
-    ):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the text font color of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="scatterternary.unselected", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/_marker.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/_marker.py
new file mode 100644
index 00000000000..003b27a470c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/_marker.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="scatterternary.unselected", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/_textfont.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/_textfont.py
new file mode 100644
index 00000000000..13bd0bd3e54
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/_textfont.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="textfont", parent_name="scatterternary.unselected", **kwargs
+    ):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the text font color of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/__init__.py
index d139b41d843..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/__init__.py
@@ -1,58 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="scatterternary.unselected.marker",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="opacity",
-        parent_name="scatterternary.unselected.marker",
-        **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.unselected.marker",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_color.py
new file mode 100644
index 00000000000..091f8923be0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.unselected.marker",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..da4102f9406
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_opacity.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="opacity",
+        parent_name="scatterternary.unselected.marker",
+        **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_size.py
new file mode 100644
index 00000000000..fd17277c31b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/marker/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="scatterternary.unselected.marker",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/__init__.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/__init__.py
index 4cad7075089..d4084e256ce 100644
--- a/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/__init__.py
@@ -1,17 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="scatterternary.unselected.textfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/_color.py b/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/_color.py
new file mode 100644
index 00000000000..4cad7075089
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/scatterternary/unselected/textfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="scatterternary.unselected.textfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/__init__.py b/packages/python/plotly/plotly/validators/splom/__init__.py
index 4d71b3b2966..84d7f9f7b96 100644
--- a/packages/python/plotly/plotly/validators/splom/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/__init__.py
@@ -1,749 +1,80 @@
-import _plotly_utils.basevalidators
-
-
-class YaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="yaxes", parent_name="splom", **kwargs):
-        super(YaxesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                {
-                    "valType": "subplotid",
-                    "regex": "/^y([2-9]|[1-9][0-9]+)?$/",
-                    "editType": "plot",
-                },
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="xaxes", parent_name="splom", **kwargs):
-        super(XaxesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            free_length=kwargs.pop("free_length", True),
-            items=kwargs.pop(
-                "items",
-                {
-                    "valType": "subplotid",
-                    "regex": "/^x([2-9]|[1-9][0-9]+)?$/",
-                    "editType": "plot",
-                },
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="splom", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="splom", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.splom.unselected.M
-                arker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="splom", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="splom", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="splom", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="splom", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="splom", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowupperhalfValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showupperhalf", parent_name="splom", **kwargs):
-        super(ShowupperhalfValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlowerhalfValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlowerhalf", parent_name="splom", **kwargs):
-        super(ShowlowerhalfValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="splom", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="splom", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="splom", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.splom.selected.Mar
-                ker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="splom", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="splom", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="splom", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="splom", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="splom", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.color`) or the bounds set in
-                `marker.cmin` and `marker.cmax`  Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Defaults to `false` when `marker.cmin`
-                and `marker.cmax` are set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if in `marker.color`is set to a numerical
-                array. Value should have the same units as in
-                `marker.color`. Has no effect when
-                `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.color`is set to a
-                numerical array. Value should have the same
-                units as in `marker.color` and if set,
-                `marker.cmax` must be set as well.
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.splom.marker.Color
-                Bar` instance or dict with compatible
-                properties
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.color`is set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            line
-                :class:`plotly.graph_objects.splom.marker.Line`
-                instance or dict with compatible properties
-            opacity
-                Sets the marker opacity.
-            opacitysrc
-                Sets the source reference on Chart Studio Cloud
-                for  opacity .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.color`is set to a
-                numerical array. If true, `marker.cmin` will
-                correspond to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                in `marker.color`is set to a numerical array.
-            size
-                Sets the marker size (in px).
-            sizemin
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the minimum size (in px)
-                of the rendered marker points.
-            sizemode
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the rule for which the
-                data in `size` is converted to pixels.
-            sizeref
-                Has an effect only if `marker.size` is set to a
-                numerical array. Sets the scale factor used to
-                determine the rendered size of marker points.
-                Use with `sizemin` and `sizemode`.
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-            symbolsrc
-                Sets the source reference on Chart Studio Cloud
-                for  symbol .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="splom", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="splom", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="splom", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="splom", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="splom", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="splom", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="splom", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="splom", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="splom", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="splom", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DimensionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="dimensiondefaults", parent_name="splom", **kwargs):
-        super(DimensionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Dimension"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(self, plotly_name="dimensions", parent_name="splom", **kwargs):
-        super(DimensionsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Dimension"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            axis
-                :class:`plotly.graph_objects.splom.dimension.Ax
-                is` instance or dict with compatible properties
-            label
-                Sets the label corresponding to this splom
-                dimension.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            values
-                Sets the dimension values to be plotted.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-            visible
-                Determines whether or not this dimension is
-                shown on the graph. Note that even visible
-                false dimension contribute to the default grid
-                generate by this splom trace.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiagonalValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="diagonal", parent_name="splom", **kwargs):
-        super(DiagonalValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Diagonal"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            visible
-                Determines whether or not subplots on the
-                diagonal are displayed.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="splom", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="splom", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._yaxes import YaxesValidator
+    from ._xaxes import XaxesValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showupperhalf import ShowupperhalfValidator
+    from ._showlowerhalf import ShowlowerhalfValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._marker import MarkerValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dimensiondefaults import DimensiondefaultsValidator
+    from ._dimensions import DimensionsValidator
+    from ._diagonal import DiagonalValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._yaxes.YaxesValidator",
+            "._xaxes.XaxesValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showupperhalf.ShowupperhalfValidator",
+            "._showlowerhalf.ShowlowerhalfValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._marker.MarkerValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dimensiondefaults.DimensiondefaultsValidator",
+            "._dimensions.DimensionsValidator",
+            "._diagonal.DiagonalValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/_customdata.py b/packages/python/plotly/plotly/validators/splom/_customdata.py
new file mode 100644
index 00000000000..5c2edfac81a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="splom", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_customdatasrc.py b/packages/python/plotly/plotly/validators/splom/_customdatasrc.py
new file mode 100644
index 00000000000..be5347732fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="splom", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_diagonal.py b/packages/python/plotly/plotly/validators/splom/_diagonal.py
new file mode 100644
index 00000000000..709cda449ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_diagonal.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class DiagonalValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="diagonal", parent_name="splom", **kwargs):
+        super(DiagonalValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Diagonal"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            visible
+                Determines whether or not subplots on the
+                diagonal are displayed.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_dimensiondefaults.py b/packages/python/plotly/plotly/validators/splom/_dimensiondefaults.py
new file mode 100644
index 00000000000..cad3564fb3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_dimensiondefaults.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class DimensiondefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="dimensiondefaults", parent_name="splom", **kwargs):
+        super(DimensiondefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Dimension"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_dimensions.py b/packages/python/plotly/plotly/validators/splom/_dimensions.py
new file mode 100644
index 00000000000..6a82e6287b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_dimensions.py
@@ -0,0 +1,53 @@
+import _plotly_utils.basevalidators
+
+
+class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(self, plotly_name="dimensions", parent_name="splom", **kwargs):
+        super(DimensionsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Dimension"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            axis
+                :class:`plotly.graph_objects.splom.dimension.Ax
+                is` instance or dict with compatible properties
+            label
+                Sets the label corresponding to this splom
+                dimension.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            values
+                Sets the dimension values to be plotted.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+            visible
+                Determines whether or not this dimension is
+                shown on the graph. Note that even visible
+                false dimension contribute to the default grid
+                generate by this splom trace.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hoverinfo.py b/packages/python/plotly/plotly/validators/splom/_hoverinfo.py
new file mode 100644
index 00000000000..e553fb4b3d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="splom", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/splom/_hoverinfosrc.py
new file mode 100644
index 00000000000..798d32aaf18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="splom", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hoverlabel.py b/packages/python/plotly/plotly/validators/splom/_hoverlabel.py
new file mode 100644
index 00000000000..fdbe63fdea8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="splom", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hovertemplate.py b/packages/python/plotly/plotly/validators/splom/_hovertemplate.py
new file mode 100644
index 00000000000..a960e8e3915
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="splom", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/splom/_hovertemplatesrc.py
new file mode 100644
index 00000000000..b810a1248eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="splom", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hovertext.py b/packages/python/plotly/plotly/validators/splom/_hovertext.py
new file mode 100644
index 00000000000..cbc20d88c7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="splom", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_hovertextsrc.py b/packages/python/plotly/plotly/validators/splom/_hovertextsrc.py
new file mode 100644
index 00000000000..321a077984b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="splom", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_ids.py b/packages/python/plotly/plotly/validators/splom/_ids.py
new file mode 100644
index 00000000000..c6597eb76ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="splom", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_idssrc.py b/packages/python/plotly/plotly/validators/splom/_idssrc.py
new file mode 100644
index 00000000000..f69083729e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="splom", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_legendgroup.py b/packages/python/plotly/plotly/validators/splom/_legendgroup.py
new file mode 100644
index 00000000000..aacb930e341
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="splom", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_marker.py b/packages/python/plotly/plotly/validators/splom/_marker.py
new file mode 100644
index 00000000000..c09dc2a17ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_marker.py
@@ -0,0 +1,139 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="splom", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.color`) or the bounds set in
+                `marker.cmin` and `marker.cmax`  Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Defaults to `false` when `marker.cmin`
+                and `marker.cmax` are set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if in `marker.color`is set to a numerical
+                array. Value should have the same units as in
+                `marker.color`. Has no effect when
+                `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.color`is set to a
+                numerical array. Value should have the same
+                units as in `marker.color` and if set,
+                `marker.cmax` must be set as well.
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.splom.marker.Color
+                Bar` instance or dict with compatible
+                properties
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.color`is set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            line
+                :class:`plotly.graph_objects.splom.marker.Line`
+                instance or dict with compatible properties
+            opacity
+                Sets the marker opacity.
+            opacitysrc
+                Sets the source reference on Chart Studio Cloud
+                for  opacity .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.color`is set to a
+                numerical array. If true, `marker.cmin` will
+                correspond to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                in `marker.color`is set to a numerical array.
+            size
+                Sets the marker size (in px).
+            sizemin
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the minimum size (in px)
+                of the rendered marker points.
+            sizemode
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the rule for which the
+                data in `size` is converted to pixels.
+            sizeref
+                Has an effect only if `marker.size` is set to a
+                numerical array. Sets the scale factor used to
+                determine the rendered size of marker points.
+                Use with `sizemin` and `sizemode`.
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+            symbolsrc
+                Sets the source reference on Chart Studio Cloud
+                for  symbol .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_meta.py b/packages/python/plotly/plotly/validators/splom/_meta.py
new file mode 100644
index 00000000000..736d7bdbc3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="splom", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_metasrc.py b/packages/python/plotly/plotly/validators/splom/_metasrc.py
new file mode 100644
index 00000000000..fdabba9c03d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="splom", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_name.py b/packages/python/plotly/plotly/validators/splom/_name.py
new file mode 100644
index 00000000000..eea26f3a153
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="splom", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_opacity.py b/packages/python/plotly/plotly/validators/splom/_opacity.py
new file mode 100644
index 00000000000..9df08d78504
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="splom", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_selected.py b/packages/python/plotly/plotly/validators/splom/_selected.py
new file mode 100644
index 00000000000..d518a7f9a8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_selected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="splom", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.splom.selected.Mar
+                ker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_selectedpoints.py b/packages/python/plotly/plotly/validators/splom/_selectedpoints.py
new file mode 100644
index 00000000000..0e42e7a493a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="splom", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_showlegend.py b/packages/python/plotly/plotly/validators/splom/_showlegend.py
new file mode 100644
index 00000000000..18ac5c7b70a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="splom", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_showlowerhalf.py b/packages/python/plotly/plotly/validators/splom/_showlowerhalf.py
new file mode 100644
index 00000000000..32d340a6f0b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_showlowerhalf.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlowerhalfValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlowerhalf", parent_name="splom", **kwargs):
+        super(ShowlowerhalfValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_showupperhalf.py b/packages/python/plotly/plotly/validators/splom/_showupperhalf.py
new file mode 100644
index 00000000000..2a2f0068783
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_showupperhalf.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowupperhalfValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showupperhalf", parent_name="splom", **kwargs):
+        super(ShowupperhalfValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_stream.py b/packages/python/plotly/plotly/validators/splom/_stream.py
new file mode 100644
index 00000000000..0266ce3e000
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="splom", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_text.py b/packages/python/plotly/plotly/validators/splom/_text.py
new file mode 100644
index 00000000000..e60d277af7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="splom", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_textsrc.py b/packages/python/plotly/plotly/validators/splom/_textsrc.py
new file mode 100644
index 00000000000..6d3c4e59ff8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="splom", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_uid.py b/packages/python/plotly/plotly/validators/splom/_uid.py
new file mode 100644
index 00000000000..586db914dee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="splom", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_uirevision.py b/packages/python/plotly/plotly/validators/splom/_uirevision.py
new file mode 100644
index 00000000000..62b73c5c9f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="splom", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_unselected.py b/packages/python/plotly/plotly/validators/splom/_unselected.py
new file mode 100644
index 00000000000..cd575b8e85d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_unselected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="splom", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.splom.unselected.M
+                arker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_visible.py b/packages/python/plotly/plotly/validators/splom/_visible.py
new file mode 100644
index 00000000000..e1742049417
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="splom", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_xaxes.py b/packages/python/plotly/plotly/validators/splom/_xaxes.py
new file mode 100644
index 00000000000..78994642b1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_xaxes.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class XaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="xaxes", parent_name="splom", **kwargs):
+        super(XaxesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                {
+                    "valType": "subplotid",
+                    "regex": "/^x([2-9]|[1-9][0-9]+)?$/",
+                    "editType": "plot",
+                },
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/_yaxes.py b/packages/python/plotly/plotly/validators/splom/_yaxes.py
new file mode 100644
index 00000000000..59b5b6393db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/_yaxes.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class YaxesValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="yaxes", parent_name="splom", **kwargs):
+        super(YaxesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            free_length=kwargs.pop("free_length", True),
+            items=kwargs.pop(
+                "items",
+                {
+                    "valType": "subplotid",
+                    "regex": "/^y([2-9]|[1-9][0-9]+)?$/",
+                    "editType": "plot",
+                },
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/diagonal/__init__.py b/packages/python/plotly/plotly/validators/splom/diagonal/__init__.py
index 90f81a4e7c8..1df79295c0f 100644
--- a/packages/python/plotly/plotly/validators/splom/diagonal/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/diagonal/__init__.py
@@ -1,12 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="splom.diagonal", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._visible.VisibleValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/diagonal/_visible.py b/packages/python/plotly/plotly/validators/splom/diagonal/_visible.py
new file mode 100644
index 00000000000..90f81a4e7c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/diagonal/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="splom.diagonal", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/__init__.py b/packages/python/plotly/plotly/validators/splom/dimension/__init__.py
index 1eac06e9afe..06f732d470e 100644
--- a/packages/python/plotly/plotly/validators/splom/dimension/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/dimension/__init__.py
@@ -1,114 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="splom.dimension", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="valuessrc", parent_name="splom.dimension", **kwargs
-    ):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="splom.dimension", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="templateitemname", parent_name="splom.dimension", **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="splom.dimension", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="label", parent_name="splom.dimension", **kwargs):
-        super(LabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AxisValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="axis", parent_name="splom.dimension", **kwargs):
-        super(AxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Axis"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            matches
-                Determines whether or not the x & y axes
-                generated by this dimension match. Equivalent
-                to setting the `matches` axis attribute in the
-                layout with the correct axis id.
-            type
-                Sets the axis type for this dimension's
-                generated x and y axes. Note that the axis
-                `type` values set in layout take precedence
-                over this attribute.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._label import LabelValidator
+    from ._axis import AxisValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._label.LabelValidator",
+            "._axis.AxisValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_axis.py b/packages/python/plotly/plotly/validators/splom/dimension/_axis.py
new file mode 100644
index 00000000000..8d066b27fc7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_axis.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class AxisValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="axis", parent_name="splom.dimension", **kwargs):
+        super(AxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Axis"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            matches
+                Determines whether or not the x & y axes
+                generated by this dimension match. Equivalent
+                to setting the `matches` axis attribute in the
+                layout with the correct axis id.
+            type
+                Sets the axis type for this dimension's
+                generated x and y axes. Note that the axis
+                `type` values set in layout take precedence
+                over this attribute.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_label.py b/packages/python/plotly/plotly/validators/splom/dimension/_label.py
new file mode 100644
index 00000000000..a4352e481a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_label.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="label", parent_name="splom.dimension", **kwargs):
+        super(LabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_name.py b/packages/python/plotly/plotly/validators/splom/dimension/_name.py
new file mode 100644
index 00000000000..04c93efe562
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="splom.dimension", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_templateitemname.py b/packages/python/plotly/plotly/validators/splom/dimension/_templateitemname.py
new file mode 100644
index 00000000000..2e424d355ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_templateitemname.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="templateitemname", parent_name="splom.dimension", **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_values.py b/packages/python/plotly/plotly/validators/splom/dimension/_values.py
new file mode 100644
index 00000000000..1333e09f380
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="splom.dimension", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_valuessrc.py b/packages/python/plotly/plotly/validators/splom/dimension/_valuessrc.py
new file mode 100644
index 00000000000..1999c00fa4a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_valuessrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="valuessrc", parent_name="splom.dimension", **kwargs
+    ):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/_visible.py b/packages/python/plotly/plotly/validators/splom/dimension/_visible.py
new file mode 100644
index 00000000000..33c67fc9899
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="splom.dimension", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/axis/__init__.py b/packages/python/plotly/plotly/validators/splom/dimension/axis/__init__.py
index 15e63710e05..94e34818191 100644
--- a/packages/python/plotly/plotly/validators/splom/dimension/axis/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/dimension/axis/__init__.py
@@ -1,31 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._type import TypeValidator
+    from ._matches import MatchesValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="type", parent_name="splom.dimension.axis", **kwargs
-    ):
-        super(TypeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["linear", "log", "date", "category"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MatchesValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="matches", parent_name="splom.dimension.axis", **kwargs
-    ):
-        super(MatchesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._type.TypeValidator", "._matches.MatchesValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/axis/_matches.py b/packages/python/plotly/plotly/validators/splom/dimension/axis/_matches.py
new file mode 100644
index 00000000000..991d9b4bca5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/axis/_matches.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MatchesValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="matches", parent_name="splom.dimension.axis", **kwargs
+    ):
+        super(MatchesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/dimension/axis/_type.py b/packages/python/plotly/plotly/validators/splom/dimension/axis/_type.py
new file mode 100644
index 00000000000..5db1d4bed52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/dimension/axis/_type.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="type", parent_name="splom.dimension.axis", **kwargs
+    ):
+        super(TypeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["linear", "log", "date", "category"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/__init__.py
index edba976fa40..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/splom/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/__init__.py
@@ -1,176 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="splom.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="splom.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="splom.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="splom.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="splom.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="splom.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="splom.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="splom.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="splom.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_align.py
new file mode 100644
index 00000000000..77a3943055b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="splom.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..88723e587cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="splom.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..6f0610ff0a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="splom.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..828056e923a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="splom.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..4a20b4b4ccf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="splom.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..1cc00c1c542
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="splom.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_font.py
new file mode 100644
index 00000000000..eed842ae77e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="splom.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f90516ed662
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="splom.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..ee88a888318
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="splom.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/__init__.py
index b7e8ebbf767..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="splom.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="splom.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="splom.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="splom.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="splom.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="splom.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..0acbc3f023f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="splom.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..a8f13b835a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="splom.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..c9e084deabd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="splom.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..b67225dd056
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="splom.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..da07bffa90c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="splom.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..f16390975d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="splom.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/__init__.py
index e3c1779d5db..33bd66663fd 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/__init__.py
@@ -1,925 +1,56 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="symbolsrc", parent_name="splom.marker", **kwargs):
-        super(SymbolsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="splom.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="splom.marker", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizeref", parent_name="splom.marker", **kwargs):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="sizemode", parent_name="splom.marker", **kwargs):
-        super(SizemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["diameter", "area"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizemin", parent_name="splom.marker", **kwargs):
-        super(SizeminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="splom.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "markerSize"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="splom.marker", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="splom.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="opacitysrc", parent_name="splom.marker", **kwargs):
-        super(OpacitysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="splom.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="splom.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.line.colorscale`. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. In case `colorscale` is
-                unspecified or `autocolorscale` is true, the
-                default  palette will be chosen according to
-                whether numbers in the `color` array are all
-                positive, all negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                in `marker.line.color`) or the bounds set in
-                `marker.line.cmin` and `marker.line.cmax`  Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Defaults to `false` when
-                `marker.line.cmin` and `marker.line.cmax` are
-                set by the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmin` must be set as well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.line.cmin` and/or
-                `marker.line.cmax` to be equidistant to this
-                point. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                Value should have the same units as in
-                `marker.line.color`. Has no effect when
-                `marker.line.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if in `marker.line.color`is set
-                to a numerical array. Value should have the
-                same units as in `marker.line.color` and if
-                set, `marker.line.cmax` must be set as well.
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorscale
-                Sets the colorscale. Has an effect only if in
-                `marker.line.color`is set to a numerical array.
-                The colorscale must be an array containing
-                arrays mapping a normalized value to an rgb,
-                rgba, hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.line.cmin` and
-                `marker.line.cmax`. Alternatively, `colorscale`
-                may be a palette name string of the following
-                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
-                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
-                body,Earth,Electric,Viridis,Cividis.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if in `marker.line.color`is set to
-                a numerical array. If true, `marker.line.cmin`
-                will correspond to the last color in the array
-                and `marker.line.cmax` will correspond to the
-                first color.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorsrc", parent_name="splom.marker", **kwargs):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="splom.marker", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="splom.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.splom.m
-                arker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.splom.marker.colorbar.tickformatstopdefaults)
-                , sets the default property values to use for
-                elements of
-                splom.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.splom.marker.color
-                bar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                splom.marker.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                splom.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="splom.marker", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="splom.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop("colorscale_path", "splom.marker.colorscale"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="splom.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="splom.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="splom.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="splom.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="splom.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbolsrc import SymbolsrcValidator
+    from ._symbol import SymbolValidator
+    from ._sizesrc import SizesrcValidator
+    from ._sizeref import SizerefValidator
+    from ._sizemode import SizemodeValidator
+    from ._sizemin import SizeminValidator
+    from ._size import SizeValidator
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacitysrc import OpacitysrcValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbolsrc.SymbolsrcValidator",
+            "._symbol.SymbolValidator",
+            "._sizesrc.SizesrcValidator",
+            "._sizeref.SizerefValidator",
+            "._sizemode.SizemodeValidator",
+            "._sizemin.SizeminValidator",
+            "._size.SizeValidator",
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacitysrc.OpacitysrcValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/splom/marker/_autocolorscale.py
new file mode 100644
index 00000000000..e731c503738
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="splom.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_cauto.py b/packages/python/plotly/plotly/validators/splom/marker/_cauto.py
new file mode 100644
index 00000000000..aa5eb9c1737
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="splom.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_cmax.py b/packages/python/plotly/plotly/validators/splom/marker/_cmax.py
new file mode 100644
index 00000000000..ac00bd668de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="splom.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_cmid.py b/packages/python/plotly/plotly/validators/splom/marker/_cmid.py
new file mode 100644
index 00000000000..3a21b5c29d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="splom.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_cmin.py b/packages/python/plotly/plotly/validators/splom/marker/_cmin.py
new file mode 100644
index 00000000000..8d56cbd9124
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="splom.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_color.py b/packages/python/plotly/plotly/validators/splom/marker/_color.py
new file mode 100644
index 00000000000..f3dda3e6f63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="splom.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop("colorscale_path", "splom.marker.colorscale"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/splom/marker/_coloraxis.py
new file mode 100644
index 00000000000..c302d32bcbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="splom.marker", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_colorbar.py b/packages/python/plotly/plotly/validators/splom/marker/_colorbar.py
new file mode 100644
index 00000000000..1b45201545d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="splom.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.splom.m
+                arker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.splom.marker.colorbar.tickformatstopdefaults)
+                , sets the default property values to use for
+                elements of
+                splom.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.splom.marker.color
+                bar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                splom.marker.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                splom.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_colorscale.py b/packages/python/plotly/plotly/validators/splom/marker/_colorscale.py
new file mode 100644
index 00000000000..c4b7ccc2998
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="splom.marker", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_colorsrc.py b/packages/python/plotly/plotly/validators/splom/marker/_colorsrc.py
new file mode 100644
index 00000000000..73ca40fd567
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_colorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorsrc", parent_name="splom.marker", **kwargs):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_line.py b/packages/python/plotly/plotly/validators/splom/marker/_line.py
new file mode 100644
index 00000000000..3a1ecb69966
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_line.py
@@ -0,0 +1,104 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="splom.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.line.colorscale`. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. In case `colorscale` is
+                unspecified or `autocolorscale` is true, the
+                default  palette will be chosen according to
+                whether numbers in the `color` array are all
+                positive, all negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                in `marker.line.color`) or the bounds set in
+                `marker.line.cmin` and `marker.line.cmax`  Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Defaults to `false` when
+                `marker.line.cmin` and `marker.line.cmax` are
+                set by the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmin` must be set as well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.line.cmin` and/or
+                `marker.line.cmax` to be equidistant to this
+                point. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                Value should have the same units as in
+                `marker.line.color`. Has no effect when
+                `marker.line.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if in `marker.line.color`is set
+                to a numerical array. Value should have the
+                same units as in `marker.line.color` and if
+                set, `marker.line.cmax` must be set as well.
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorscale
+                Sets the colorscale. Has an effect only if in
+                `marker.line.color`is set to a numerical array.
+                The colorscale must be an array containing
+                arrays mapping a normalized value to an rgb,
+                rgba, hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.line.cmin` and
+                `marker.line.cmax`. Alternatively, `colorscale`
+                may be a palette name string of the following
+                list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R
+                eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black
+                body,Earth,Electric,Viridis,Cividis.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if in `marker.line.color`is set to
+                a numerical array. If true, `marker.line.cmin`
+                will correspond to the last color in the array
+                and `marker.line.cmax` will correspond to the
+                first color.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_opacity.py b/packages/python/plotly/plotly/validators/splom/marker/_opacity.py
new file mode 100644
index 00000000000..41bf9a40c9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="splom.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_opacitysrc.py b/packages/python/plotly/plotly/validators/splom/marker/_opacitysrc.py
new file mode 100644
index 00000000000..e15c4bc8b4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_opacitysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="opacitysrc", parent_name="splom.marker", **kwargs):
+        super(OpacitysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_reversescale.py b/packages/python/plotly/plotly/validators/splom/marker/_reversescale.py
new file mode 100644
index 00000000000..7f632c23014
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="splom.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_showscale.py b/packages/python/plotly/plotly/validators/splom/marker/_showscale.py
new file mode 100644
index 00000000000..589ced53392
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="splom.marker", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_size.py b/packages/python/plotly/plotly/validators/splom/marker/_size.py
new file mode 100644
index 00000000000..a5cf0d0c203
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="splom.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "markerSize"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_sizemin.py b/packages/python/plotly/plotly/validators/splom/marker/_sizemin.py
new file mode 100644
index 00000000000..9209d343ebb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_sizemin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizemin", parent_name="splom.marker", **kwargs):
+        super(SizeminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_sizemode.py b/packages/python/plotly/plotly/validators/splom/marker/_sizemode.py
new file mode 100644
index 00000000000..0878e34c59b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_sizemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="sizemode", parent_name="splom.marker", **kwargs):
+        super(SizemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["diameter", "area"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_sizeref.py b/packages/python/plotly/plotly/validators/splom/marker/_sizeref.py
new file mode 100644
index 00000000000..10d005a8024
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_sizeref.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizeref", parent_name="splom.marker", **kwargs):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_sizesrc.py b/packages/python/plotly/plotly/validators/splom/marker/_sizesrc.py
new file mode 100644
index 00000000000..9ae67b9e760
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="splom.marker", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_symbol.py b/packages/python/plotly/plotly/validators/splom/marker/_symbol.py
new file mode 100644
index 00000000000..e5fdc1e424a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="splom.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/_symbolsrc.py b/packages/python/plotly/plotly/validators/splom/marker/_symbolsrc.py
new file mode 100644
index 00000000000..f98c297e8eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/_symbolsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="symbolsrc", parent_name="splom.marker", **kwargs):
+        super(SymbolsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/__init__.py
index 25377b9c6f2..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/__init__.py
@@ -1,782 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="splom.marker.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="splom.marker.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="splom.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="splom.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..e53120c6b84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..42b45f6068f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..6602d2391d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..327c9b0a7a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..eb5135eb768
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_len.py
new file mode 100644
index 00000000000..41ca623fcd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..7cebfdc60e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..9b36f22caeb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..f223b31497e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..4b7e937d698
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..fa57a2a8791
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..5aa884661a5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..3b6af2fe72c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..89d8df2d4f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..777effbd1f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..0f0501eda88
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..fbba196db3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..fd42305b699
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..7de589f64d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..cacb844d426
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..ebdffac5262
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..da80011034c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..30cf3e9803d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..c183ec5ddb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="splom.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..38cffbe3697
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..c2a14e2dfaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..c49e4fea42f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..eac8337b158
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..542775c9891
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..8f7e2c075a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..1703404acee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..3bccf7e3650
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..bf29a3409e2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..2ec99c5009c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_title.py
new file mode 100644
index 00000000000..7bfb7dafdb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_x.py
new file mode 100644
index 00000000000..3046980c004
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="splom.marker.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..fff72eb689f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..73a36da84ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_y.py
new file mode 100644
index 00000000000..31177d32270
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="splom.marker.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..b0ca0b09e58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..27fbdd4039d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="splom.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/__init__.py
index 78e0f534907..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/__init__.py
@@ -1,55 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="splom.marker.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="splom.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="splom.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..29fdc1be022
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="splom.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..28a3c04f27e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="splom.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..efef3ca107b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="splom.marker.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/__init__.py
index 020a2020f78..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="splom.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="splom.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="splom.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="splom.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="splom.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..ab6578cbcec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="splom.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..56e5b548ce2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="splom.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..6c2e45b3d92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="splom.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..b9c725ecfa5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="splom.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..4983546265f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="splom.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/__init__.py
index 088a99d460f..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="splom.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="splom.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="splom.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..63a3b2c75a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="splom.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..e159e21aafc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="splom.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..7cba92ec7ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="splom.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/__init__.py
index f3a41a4d422..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="splom.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="splom.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="splom.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..e2c2578ddb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="splom.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..48d95ea90d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="splom.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..b929b57b23f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="splom.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/__init__.py b/packages/python/plotly/plotly/validators/splom/marker/line/__init__.py
index e2b4d8b2c38..d0f12904f10 100644
--- a/packages/python/plotly/plotly/validators/splom/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/__init__.py
@@ -1,192 +1,36 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="splom.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="splom.marker.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="splom.marker.line", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="splom.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="splom.marker.line", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="splom.marker.line", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="splom.marker.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            colorscale_path=kwargs.pop(
-                "colorscale_path", "splom.marker.line.colorscale"
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="splom.marker.line", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="splom.marker.line", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="splom.marker.line", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="splom.marker.line", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="splom.marker.line", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._reversescale import ReversescaleValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._color import ColorValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._reversescale.ReversescaleValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._color.ColorValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_autocolorscale.py b/packages/python/plotly/plotly/validators/splom/marker/line/_autocolorscale.py
new file mode 100644
index 00000000000..541f5d4d386
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="splom.marker.line", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_cauto.py b/packages/python/plotly/plotly/validators/splom/marker/line/_cauto.py
new file mode 100644
index 00000000000..69f52df8687
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="splom.marker.line", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_cmax.py b/packages/python/plotly/plotly/validators/splom/marker/line/_cmax.py
new file mode 100644
index 00000000000..c95abbc6065
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="splom.marker.line", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_cmid.py b/packages/python/plotly/plotly/validators/splom/marker/line/_cmid.py
new file mode 100644
index 00000000000..5f730cae7f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="splom.marker.line", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_cmin.py b/packages/python/plotly/plotly/validators/splom/marker/line/_cmin.py
new file mode 100644
index 00000000000..98901324d53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="splom.marker.line", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_color.py b/packages/python/plotly/plotly/validators/splom/marker/line/_color.py
new file mode 100644
index 00000000000..21f89fedc32
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_color.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="splom.marker.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            colorscale_path=kwargs.pop(
+                "colorscale_path", "splom.marker.line.colorscale"
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_coloraxis.py b/packages/python/plotly/plotly/validators/splom/marker/line/_coloraxis.py
new file mode 100644
index 00000000000..26589292f4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="splom.marker.line", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_colorscale.py b/packages/python/plotly/plotly/validators/splom/marker/line/_colorscale.py
new file mode 100644
index 00000000000..bc5e50122f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="splom.marker.line", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/splom/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..ee93011504c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="splom.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_reversescale.py b/packages/python/plotly/plotly/validators/splom/marker/line/_reversescale.py
new file mode 100644
index 00000000000..36946efb3e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="splom.marker.line", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_width.py b/packages/python/plotly/plotly/validators/splom/marker/line/_width.py
new file mode 100644
index 00000000000..b95ab4016b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="splom.marker.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/splom/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..ec94d825c72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="splom.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/selected/__init__.py b/packages/python/plotly/plotly/validators/splom/selected/__init__.py
index 6206ffed245..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/splom/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/selected/__init__.py
@@ -1,22 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="splom.selected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/selected/_marker.py b/packages/python/plotly/plotly/validators/splom/selected/_marker.py
new file mode 100644
index 00000000000..6206ffed245
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/selected/_marker.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="splom.selected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/splom/selected/marker/__init__.py
index 130407c9679..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/splom/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/selected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="splom.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="splom.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="splom.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/selected/marker/_color.py b/packages/python/plotly/plotly/validators/splom/selected/marker/_color.py
new file mode 100644
index 00000000000..49f08c55f6f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="splom.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/splom/selected/marker/_opacity.py
new file mode 100644
index 00000000000..4980c4a35af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="splom.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/selected/marker/_size.py b/packages/python/plotly/plotly/validators/splom/selected/marker/_size.py
new file mode 100644
index 00000000000..e04fbbe32b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="splom.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/stream/__init__.py b/packages/python/plotly/plotly/validators/splom/stream/__init__.py
index 49334c608e0..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/splom/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="splom.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="splom.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/splom/stream/_maxpoints.py
new file mode 100644
index 00000000000..6288ffdaf0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="splom.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/stream/_token.py b/packages/python/plotly/plotly/validators/splom/stream/_token.py
new file mode 100644
index 00000000000..f90ab1e58bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="splom.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/unselected/__init__.py b/packages/python/plotly/plotly/validators/splom/unselected/__init__.py
index c80a741d59d..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/splom/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/unselected/__init__.py
@@ -1,25 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="splom.unselected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/unselected/_marker.py b/packages/python/plotly/plotly/validators/splom/unselected/_marker.py
new file mode 100644
index 00000000000..c80a741d59d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/unselected/_marker.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="splom.unselected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/splom/unselected/marker/__init__.py
index 67755c6c396..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/splom/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/splom/unselected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="splom.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="splom.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="splom.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/splom/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/splom/unselected/marker/_color.py
new file mode 100644
index 00000000000..1ca684584fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="splom.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/splom/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..0eea3b9e141
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="splom.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/splom/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/splom/unselected/marker/_size.py
new file mode 100644
index 00000000000..7e860c14449
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/splom/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="splom.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/__init__.py b/packages/python/plotly/plotly/validators/streamtube/__init__.py
index 618ac811481..5c29d48d098 100644
--- a/packages/python/plotly/plotly/validators/streamtube/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/__init__.py
@@ -1,1040 +1,110 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="streamtube", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="streamtube", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="streamtube", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="streamtube", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="streamtube", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="streamtube", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="wsrc", parent_name="streamtube", **kwargs):
-        super(WsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="w", parent_name="streamtube", **kwargs):
-        super(WValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="vsrc", parent_name="streamtube", **kwargs):
-        super(VsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="streamtube", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="v", parent_name="streamtube", **kwargs):
-        super(VValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="usrc", parent_name="streamtube", **kwargs):
-        super(UsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="streamtube", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="streamtube", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="u", parent_name="streamtube", **kwargs):
-        super(UValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="streamtube", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="streamtube", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="starts", parent_name="streamtube", **kwargs):
-        super(StartsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Starts"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Sets the x components of the starting position
-                of the streamtubes
-            xsrc
-                Sets the source reference on Chart Studio Cloud
-                for  x .
-            y
-                Sets the y components of the starting position
-                of the streamtubes
-            ysrc
-                Sets the source reference on Chart Studio Cloud
-                for  y .
-            z
-                Sets the z components of the starting position
-                of the streamtubes
-            zsrc
-                Sets the source reference on Chart Studio Cloud
-                for  z .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="sizeref", parent_name="streamtube", **kwargs):
-        super(SizerefValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="streamtube", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="streamtube", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="streamtube", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="streamtube", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="streamtube", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="streamtube", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="streamtube", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="streamtube", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdisplayedValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="maxdisplayed", parent_name="streamtube", **kwargs):
-        super(MaxdisplayedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lightposition", parent_name="streamtube", **kwargs):
-        super(LightpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Numeric vector, representing the X coordinate
-                for each vertex.
-            y
-                Numeric vector, representing the Y coordinate
-                for each vertex.
-            z
-                Numeric vector, representing the Z coordinate
-                for each vertex.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lighting", parent_name="streamtube", **kwargs):
-        super(LightingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lighting"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            ambient
-                Ambient light increases overall color
-                visibility but can wash out the image.
-            diffuse
-                Represents the extent that incident rays are
-                reflected in a range of angles.
-            facenormalsepsilon
-                Epsilon for face normals calculation avoids
-                math issues arising from degenerate geometry.
-            fresnel
-                Represents the reflectance as a dependency of
-                the viewing angle; e.g. paper is reflective
-                when viewing it from the edge of the paper
-                (almost 90 degrees), causing shine.
-            roughness
-                Alters specular reflection; the rougher the
-                surface, the wider and less contrasty the
-                shine.
-            specular
-                Represents the level that incident rays are
-                reflected in a single direction, causing shine.
-            vertexnormalsepsilon
-                Epsilon for vertex normals calculation avoids
-                math issues arising from degenerate geometry.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="streamtube", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="streamtube", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="streamtube", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="streamtube", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="streamtube", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="streamtube", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="streamtube", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="streamtube", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="streamtube", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop(
-                "flags",
-                ["x", "y", "z", "u", "v", "w", "norm", "divergence", "text", "name"],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="streamtube", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="streamtube", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="streamtube", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="streamtube", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.streamt
-                ube.colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.streamtube.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of streamtube.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.streamtube.colorba
-                r.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                streamtube.colorbar.title.font instead. Sets
-                this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                streamtube.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="streamtube", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="streamtube", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="streamtube", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="streamtube", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="streamtube", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="streamtube", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._x import XValidator
+    from ._wsrc import WsrcValidator
+    from ._w import WValidator
+    from ._vsrc import VsrcValidator
+    from ._visible import VisibleValidator
+    from ._v import VValidator
+    from ._usrc import UsrcValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._u import UValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._starts import StartsValidator
+    from ._sizeref import SizerefValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._maxdisplayed import MaxdisplayedValidator
+    from ._lightposition import LightpositionValidator
+    from ._lighting import LightingValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._x.XValidator",
+            "._wsrc.WsrcValidator",
+            "._w.WValidator",
+            "._vsrc.VsrcValidator",
+            "._visible.VisibleValidator",
+            "._v.VValidator",
+            "._usrc.UsrcValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._u.UValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._starts.StartsValidator",
+            "._sizeref.SizerefValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._maxdisplayed.MaxdisplayedValidator",
+            "._lightposition.LightpositionValidator",
+            "._lighting.LightingValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_autocolorscale.py b/packages/python/plotly/plotly/validators/streamtube/_autocolorscale.py
new file mode 100644
index 00000000000..ba01cb00d7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="streamtube", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_cauto.py b/packages/python/plotly/plotly/validators/streamtube/_cauto.py
new file mode 100644
index 00000000000..1e7fd7cd2a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="streamtube", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_cmax.py b/packages/python/plotly/plotly/validators/streamtube/_cmax.py
new file mode 100644
index 00000000000..c9745795adc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="streamtube", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_cmid.py b/packages/python/plotly/plotly/validators/streamtube/_cmid.py
new file mode 100644
index 00000000000..66850d66ba8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="streamtube", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_cmin.py b/packages/python/plotly/plotly/validators/streamtube/_cmin.py
new file mode 100644
index 00000000000..dca6968cca0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="streamtube", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_coloraxis.py b/packages/python/plotly/plotly/validators/streamtube/_coloraxis.py
new file mode 100644
index 00000000000..a0dc51986c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="streamtube", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_colorbar.py b/packages/python/plotly/plotly/validators/streamtube/_colorbar.py
new file mode 100644
index 00000000000..0697b46b3c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="streamtube", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.streamt
+                ube.colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.streamtube.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of streamtube.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.streamtube.colorba
+                r.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                streamtube.colorbar.title.font instead. Sets
+                this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                streamtube.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_colorscale.py b/packages/python/plotly/plotly/validators/streamtube/_colorscale.py
new file mode 100644
index 00000000000..17d67167e58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="streamtube", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_customdata.py b/packages/python/plotly/plotly/validators/streamtube/_customdata.py
new file mode 100644
index 00000000000..fc86a6a0a71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="streamtube", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_customdatasrc.py b/packages/python/plotly/plotly/validators/streamtube/_customdatasrc.py
new file mode 100644
index 00000000000..08c9849560f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="streamtube", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_hoverinfo.py b/packages/python/plotly/plotly/validators/streamtube/_hoverinfo.py
new file mode 100644
index 00000000000..4a5012bd3d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_hoverinfo.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="streamtube", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop(
+                "flags",
+                ["x", "y", "z", "u", "v", "w", "norm", "divergence", "text", "name"],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/streamtube/_hoverinfosrc.py
new file mode 100644
index 00000000000..a340e5c0d3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="streamtube", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_hoverlabel.py b/packages/python/plotly/plotly/validators/streamtube/_hoverlabel.py
new file mode 100644
index 00000000000..919c3c91110
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="streamtube", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_hovertemplate.py b/packages/python/plotly/plotly/validators/streamtube/_hovertemplate.py
new file mode 100644
index 00000000000..7e901fb9800
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="streamtube", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/streamtube/_hovertemplatesrc.py
new file mode 100644
index 00000000000..9c83fa6bed0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="streamtube", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_hovertext.py b/packages/python/plotly/plotly/validators/streamtube/_hovertext.py
new file mode 100644
index 00000000000..48e9ffdffe8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_hovertext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="streamtube", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_ids.py b/packages/python/plotly/plotly/validators/streamtube/_ids.py
new file mode 100644
index 00000000000..536d575eebd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="streamtube", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_idssrc.py b/packages/python/plotly/plotly/validators/streamtube/_idssrc.py
new file mode 100644
index 00000000000..d3eef3ae5ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="streamtube", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_legendgroup.py b/packages/python/plotly/plotly/validators/streamtube/_legendgroup.py
new file mode 100644
index 00000000000..3e9db92629e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="streamtube", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_lighting.py b/packages/python/plotly/plotly/validators/streamtube/_lighting.py
new file mode 100644
index 00000000000..e3568a59b9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_lighting.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lighting", parent_name="streamtube", **kwargs):
+        super(LightingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lighting"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            ambient
+                Ambient light increases overall color
+                visibility but can wash out the image.
+            diffuse
+                Represents the extent that incident rays are
+                reflected in a range of angles.
+            facenormalsepsilon
+                Epsilon for face normals calculation avoids
+                math issues arising from degenerate geometry.
+            fresnel
+                Represents the reflectance as a dependency of
+                the viewing angle; e.g. paper is reflective
+                when viewing it from the edge of the paper
+                (almost 90 degrees), causing shine.
+            roughness
+                Alters specular reflection; the rougher the
+                surface, the wider and less contrasty the
+                shine.
+            specular
+                Represents the level that incident rays are
+                reflected in a single direction, causing shine.
+            vertexnormalsepsilon
+                Epsilon for vertex normals calculation avoids
+                math issues arising from degenerate geometry.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_lightposition.py b/packages/python/plotly/plotly/validators/streamtube/_lightposition.py
new file mode 100644
index 00000000000..982a45b611a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_lightposition.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lightposition", parent_name="streamtube", **kwargs):
+        super(LightpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Numeric vector, representing the X coordinate
+                for each vertex.
+            y
+                Numeric vector, representing the Y coordinate
+                for each vertex.
+            z
+                Numeric vector, representing the Z coordinate
+                for each vertex.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_maxdisplayed.py b/packages/python/plotly/plotly/validators/streamtube/_maxdisplayed.py
new file mode 100644
index 00000000000..e5df37d6e22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_maxdisplayed.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdisplayedValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="maxdisplayed", parent_name="streamtube", **kwargs):
+        super(MaxdisplayedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_meta.py b/packages/python/plotly/plotly/validators/streamtube/_meta.py
new file mode 100644
index 00000000000..f96ee0ded7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="streamtube", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_metasrc.py b/packages/python/plotly/plotly/validators/streamtube/_metasrc.py
new file mode 100644
index 00000000000..6175531d80c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="streamtube", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_name.py b/packages/python/plotly/plotly/validators/streamtube/_name.py
new file mode 100644
index 00000000000..49b27fbe6f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="streamtube", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_opacity.py b/packages/python/plotly/plotly/validators/streamtube/_opacity.py
new file mode 100644
index 00000000000..954cfc88755
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="streamtube", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_reversescale.py b/packages/python/plotly/plotly/validators/streamtube/_reversescale.py
new file mode 100644
index 00000000000..1feca81f0aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="streamtube", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_scene.py b/packages/python/plotly/plotly/validators/streamtube/_scene.py
new file mode 100644
index 00000000000..9f0a1163ce9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="streamtube", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_showlegend.py b/packages/python/plotly/plotly/validators/streamtube/_showlegend.py
new file mode 100644
index 00000000000..4f6a6b7b18e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="streamtube", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_showscale.py b/packages/python/plotly/plotly/validators/streamtube/_showscale.py
new file mode 100644
index 00000000000..c91458860b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="streamtube", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_sizeref.py b/packages/python/plotly/plotly/validators/streamtube/_sizeref.py
new file mode 100644
index 00000000000..844a40c326a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_sizeref.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="sizeref", parent_name="streamtube", **kwargs):
+        super(SizerefValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_starts.py b/packages/python/plotly/plotly/validators/streamtube/_starts.py
new file mode 100644
index 00000000000..a2d06dfa4b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_starts.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class StartsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="starts", parent_name="streamtube", **kwargs):
+        super(StartsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Starts"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Sets the x components of the starting position
+                of the streamtubes
+            xsrc
+                Sets the source reference on Chart Studio Cloud
+                for  x .
+            y
+                Sets the y components of the starting position
+                of the streamtubes
+            ysrc
+                Sets the source reference on Chart Studio Cloud
+                for  y .
+            z
+                Sets the z components of the starting position
+                of the streamtubes
+            zsrc
+                Sets the source reference on Chart Studio Cloud
+                for  z .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_stream.py b/packages/python/plotly/plotly/validators/streamtube/_stream.py
new file mode 100644
index 00000000000..de4de329155
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="streamtube", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_text.py b/packages/python/plotly/plotly/validators/streamtube/_text.py
new file mode 100644
index 00000000000..d3f6ed9d120
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="streamtube", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_u.py b/packages/python/plotly/plotly/validators/streamtube/_u.py
new file mode 100644
index 00000000000..aa285c80102
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_u.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="u", parent_name="streamtube", **kwargs):
+        super(UValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_uid.py b/packages/python/plotly/plotly/validators/streamtube/_uid.py
new file mode 100644
index 00000000000..4c77d4855e8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="streamtube", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_uirevision.py b/packages/python/plotly/plotly/validators/streamtube/_uirevision.py
new file mode 100644
index 00000000000..328227b7019
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="streamtube", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_usrc.py b/packages/python/plotly/plotly/validators/streamtube/_usrc.py
new file mode 100644
index 00000000000..b4524aa156e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_usrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="usrc", parent_name="streamtube", **kwargs):
+        super(UsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_v.py b/packages/python/plotly/plotly/validators/streamtube/_v.py
new file mode 100644
index 00000000000..6889d3de102
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_v.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="v", parent_name="streamtube", **kwargs):
+        super(VValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_visible.py b/packages/python/plotly/plotly/validators/streamtube/_visible.py
new file mode 100644
index 00000000000..97b46d6dbc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="streamtube", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_vsrc.py b/packages/python/plotly/plotly/validators/streamtube/_vsrc.py
new file mode 100644
index 00000000000..3b9a2006002
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_vsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="vsrc", parent_name="streamtube", **kwargs):
+        super(VsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_w.py b/packages/python/plotly/plotly/validators/streamtube/_w.py
new file mode 100644
index 00000000000..698dd887a2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_w.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="w", parent_name="streamtube", **kwargs):
+        super(WValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_wsrc.py b/packages/python/plotly/plotly/validators/streamtube/_wsrc.py
new file mode 100644
index 00000000000..df09cdf2374
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_wsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="wsrc", parent_name="streamtube", **kwargs):
+        super(WsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_x.py b/packages/python/plotly/plotly/validators/streamtube/_x.py
new file mode 100644
index 00000000000..6043ce706ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="streamtube", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_xsrc.py b/packages/python/plotly/plotly/validators/streamtube/_xsrc.py
new file mode 100644
index 00000000000..818095db247
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="streamtube", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_y.py b/packages/python/plotly/plotly/validators/streamtube/_y.py
new file mode 100644
index 00000000000..a7e8aa5f747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="streamtube", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_ysrc.py b/packages/python/plotly/plotly/validators/streamtube/_ysrc.py
new file mode 100644
index 00000000000..eb72a2a6201
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="streamtube", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_z.py b/packages/python/plotly/plotly/validators/streamtube/_z.py
new file mode 100644
index 00000000000..3b4b3c67b9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="streamtube", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/_zsrc.py b/packages/python/plotly/plotly/validators/streamtube/_zsrc.py
new file mode 100644
index 00000000000..adfa2254529
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="streamtube", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/__init__.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/__init__.py
index a544bc394ca..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/streamtube/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/__init__.py
@@ -1,761 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="streamtube.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="streamtube.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="streamtube.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="streamtube.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="streamtube.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="streamtube.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="streamtube.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="streamtube.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..8e9bae28e86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..3ba86bbcd4f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..b2f656f06ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_dtick.py
new file mode 100644
index 00000000000..618bada9c82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..5b622d8c741
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_len.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_len.py
new file mode 100644
index 00000000000..8e6079b9104
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="streamtube.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_lenmode.py
new file mode 100644
index 00000000000..bb00c829f72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_nticks.py
new file mode 100644
index 00000000000..d938bb867af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..306a623e10f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..82d0b2cb4b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..4be34651659
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="streamtube.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showexponent.py
new file mode 100644
index 00000000000..cc5c295d710
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..1b2244a31ee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..4ff5a42c877
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..8d58897b616
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_thickness.py
new file mode 100644
index 00000000000..d3895732e44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..64f14a55def
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tick0.py
new file mode 100644
index 00000000000..e1190bb2ea7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickangle.py
new file mode 100644
index 00000000000..23bfdda314f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..7ad6c0636cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickfont.py
new file mode 100644
index 00000000000..666f3e911b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformat.py
new file mode 100644
index 00000000000..6167674be1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..af5d40aec80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="streamtube.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..b23d449eb45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticklen.py
new file mode 100644
index 00000000000..64fea49775a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickmode.py
new file mode 100644
index 00000000000..a02b163aa7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..be2201e9f3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticks.py
new file mode 100644
index 00000000000..3fd32b41220
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..ab3dbf58ea3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticktext.py
new file mode 100644
index 00000000000..60a0923b763
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..75fc04acc44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickvals.py
new file mode 100644
index 00000000000..66e2ec0d3c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..8469fa48624
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..38cc83104ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_title.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_title.py
new file mode 100644
index 00000000000..8ca3aa517b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_x.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_x.py
new file mode 100644
index 00000000000..afd7d4806fc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="streamtube.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_xanchor.py
new file mode 100644
index 00000000000..424214e9388
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_xpad.py
new file mode 100644
index 00000000000..31ecc2ccda1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="streamtube.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_y.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_y.py
new file mode 100644
index 00000000000..524ccfd8436
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="streamtube.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_yanchor.py
new file mode 100644
index 00000000000..c3ee9cab458
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="streamtube.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ypad.py
new file mode 100644
index 00000000000..680ac55b1bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="streamtube.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/__init__.py
index 56e5de8f089..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="streamtube.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="streamtube.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="streamtube.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..2163b9acbb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="streamtube.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..15fba8d105e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="streamtube.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..95a562e8da1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="streamtube.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/__init__.py
index 08db54bab29..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="streamtube.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="streamtube.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="streamtube.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="streamtube.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="streamtube.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..8098610b0b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="streamtube.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..8d57664e27a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="streamtube.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..5f282bebfa7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="streamtube.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..e8b39fbdddf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="streamtube.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..e3bf69eb4b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="streamtube.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/__init__.py
index 19daf6fee1e..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="streamtube.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="streamtube.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="streamtube.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_font.py
new file mode 100644
index 00000000000..6783f712b97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="streamtube.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_side.py
new file mode 100644
index 00000000000..6e0a48ebffc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="streamtube.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_text.py
new file mode 100644
index 00000000000..ef2fe01c31c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="streamtube.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/__init__.py
index 7e66c46a51b..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/__init__.py
@@ -1,55 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="streamtube.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="streamtube.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="streamtube.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..4fcac784790
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="streamtube.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..07909111ff4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="streamtube.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..30342cd861c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="streamtube.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/__init__.py
index 68fd6a30472..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/__init__.py
@@ -1,185 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolorsrc",
-        parent_name="streamtube.hoverlabel",
-        **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="streamtube.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_align.py
new file mode 100644
index 00000000000..51f87ca1cb2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..06675c794c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..e6ce4ccad53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..31f4368c511
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..d2491f5533e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..17b0a988346
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolorsrc",
+        parent_name="streamtube.hoverlabel",
+        **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_font.py
new file mode 100644
index 00000000000..61f36841067
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..40c3bedf175
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..7c0c5b2bac3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="streamtube.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/__init__.py
index 9978d8788b0..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/__init__.py
@@ -1,103 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="streamtube.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="streamtube.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="familysrc",
-        parent_name="streamtube.hoverlabel.font",
-        **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="streamtube.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="streamtube.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="streamtube.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..eeddad72b03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="streamtube.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..0618dad49ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="streamtube.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..aa68e877984
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="streamtube.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..ac2a499d8b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_familysrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="familysrc",
+        parent_name="streamtube.hoverlabel.font",
+        **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..4088c70141e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="streamtube.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..590d11a6163
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="streamtube.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/__init__.py b/packages/python/plotly/plotly/validators/streamtube/lighting/__init__.py
index 3b0e9b9e787..12f1cf66154 100644
--- a/packages/python/plotly/plotly/validators/streamtube/lighting/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/__init__.py
@@ -1,130 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="vertexnormalsepsilon",
-        parent_name="streamtube.lighting",
-        **kwargs
-    ):
-        super(VertexnormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="specular", parent_name="streamtube.lighting", **kwargs
-    ):
-        super(SpecularValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="roughness", parent_name="streamtube.lighting", **kwargs
-    ):
-        super(RoughnessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="fresnel", parent_name="streamtube.lighting", **kwargs
-    ):
-        super(FresnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="facenormalsepsilon",
-        parent_name="streamtube.lighting",
-        **kwargs
-    ):
-        super(FacenormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="diffuse", parent_name="streamtube.lighting", **kwargs
-    ):
-        super(DiffuseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ambient", parent_name="streamtube.lighting", **kwargs
-    ):
-        super(AmbientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._vertexnormalsepsilon import VertexnormalsepsilonValidator
+    from ._specular import SpecularValidator
+    from ._roughness import RoughnessValidator
+    from ._fresnel import FresnelValidator
+    from ._facenormalsepsilon import FacenormalsepsilonValidator
+    from ._diffuse import DiffuseValidator
+    from ._ambient import AmbientValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._vertexnormalsepsilon.VertexnormalsepsilonValidator",
+            "._specular.SpecularValidator",
+            "._roughness.RoughnessValidator",
+            "._fresnel.FresnelValidator",
+            "._facenormalsepsilon.FacenormalsepsilonValidator",
+            "._diffuse.DiffuseValidator",
+            "._ambient.AmbientValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_ambient.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_ambient.py
new file mode 100644
index 00000000000..f19d43603ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_ambient.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ambient", parent_name="streamtube.lighting", **kwargs
+    ):
+        super(AmbientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_diffuse.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_diffuse.py
new file mode 100644
index 00000000000..f1432484316
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_diffuse.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="diffuse", parent_name="streamtube.lighting", **kwargs
+    ):
+        super(DiffuseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_facenormalsepsilon.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_facenormalsepsilon.py
new file mode 100644
index 00000000000..4a07cc6a3df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_facenormalsepsilon.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="facenormalsepsilon",
+        parent_name="streamtube.lighting",
+        **kwargs
+    ):
+        super(FacenormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_fresnel.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_fresnel.py
new file mode 100644
index 00000000000..f4218a718fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_fresnel.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="fresnel", parent_name="streamtube.lighting", **kwargs
+    ):
+        super(FresnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_roughness.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_roughness.py
new file mode 100644
index 00000000000..d480fcc24cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_roughness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="roughness", parent_name="streamtube.lighting", **kwargs
+    ):
+        super(RoughnessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_specular.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_specular.py
new file mode 100644
index 00000000000..6bf79f42e3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_specular.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="specular", parent_name="streamtube.lighting", **kwargs
+    ):
+        super(SpecularValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lighting/_vertexnormalsepsilon.py b/packages/python/plotly/plotly/validators/streamtube/lighting/_vertexnormalsepsilon.py
new file mode 100644
index 00000000000..c7c4aa51c10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lighting/_vertexnormalsepsilon.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="vertexnormalsepsilon",
+        parent_name="streamtube.lighting",
+        **kwargs
+    ):
+        super(VertexnormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lightposition/__init__.py b/packages/python/plotly/plotly/validators/streamtube/lightposition/__init__.py
index f83cfc98dc2..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/streamtube/lightposition/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/lightposition/__init__.py
@@ -1,52 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="streamtube.lightposition", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="streamtube.lightposition", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="streamtube.lightposition", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lightposition/_x.py b/packages/python/plotly/plotly/validators/streamtube/lightposition/_x.py
new file mode 100644
index 00000000000..21a6c69c9ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lightposition/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="streamtube.lightposition", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lightposition/_y.py b/packages/python/plotly/plotly/validators/streamtube/lightposition/_y.py
new file mode 100644
index 00000000000..4be91d74c76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lightposition/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="streamtube.lightposition", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/lightposition/_z.py b/packages/python/plotly/plotly/validators/streamtube/lightposition/_z.py
new file mode 100644
index 00000000000..6e60f06a1e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/lightposition/_z.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="streamtube.lightposition", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/__init__.py b/packages/python/plotly/plotly/validators/streamtube/starts/__init__.py
index 1bf4463bfbb..cdfaa6fcffd 100644
--- a/packages/python/plotly/plotly/validators/streamtube/starts/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/__init__.py
@@ -1,82 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="streamtube.starts", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="streamtube.starts", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="streamtube.starts", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="streamtube.starts", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="streamtube.starts", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="streamtube.starts", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._x.XValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/_x.py b/packages/python/plotly/plotly/validators/streamtube/starts/_x.py
new file mode 100644
index 00000000000..9e598b43589
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="streamtube.starts", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/_xsrc.py b/packages/python/plotly/plotly/validators/streamtube/starts/_xsrc.py
new file mode 100644
index 00000000000..c065ee0f872
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="streamtube.starts", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/_y.py b/packages/python/plotly/plotly/validators/streamtube/starts/_y.py
new file mode 100644
index 00000000000..eb7584bfdc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="streamtube.starts", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/_ysrc.py b/packages/python/plotly/plotly/validators/streamtube/starts/_ysrc.py
new file mode 100644
index 00000000000..fbe0fe27d77
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="streamtube.starts", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/_z.py b/packages/python/plotly/plotly/validators/streamtube/starts/_z.py
new file mode 100644
index 00000000000..be1e3944744
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="streamtube.starts", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/starts/_zsrc.py b/packages/python/plotly/plotly/validators/streamtube/starts/_zsrc.py
new file mode 100644
index 00000000000..e0273565436
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/starts/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="streamtube.starts", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/stream/__init__.py b/packages/python/plotly/plotly/validators/streamtube/stream/__init__.py
index 702f3ec8064..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/streamtube/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/streamtube/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="streamtube.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="streamtube.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/streamtube/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/streamtube/stream/_maxpoints.py
new file mode 100644
index 00000000000..6f618663b17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="streamtube.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/streamtube/stream/_token.py b/packages/python/plotly/plotly/validators/streamtube/stream/_token.py
new file mode 100644
index 00000000000..2bd8c649549
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/streamtube/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="streamtube.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/__init__.py b/packages/python/plotly/plotly/validators/sunburst/__init__.py
index d5e4d4b429f..912bd8fa776 100644
--- a/packages/python/plotly/plotly/validators/sunburst/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/__init__.py
@@ -1,887 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="sunburst", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuessrc", parent_name="sunburst", **kwargs):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="sunburst", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="sunburst", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="sunburst", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="texttemplatesrc", parent_name="sunburst", **kwargs):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="sunburst", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="sunburst", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="textinfo", parent_name="sunburst", **kwargs):
-        super(TextinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop(
-                "flags",
-                [
-                    "label",
-                    "text",
-                    "value",
-                    "current path",
-                    "percent root",
-                    "percent entry",
-                    "percent parent",
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="sunburst", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="sunburst", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="sunburst", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParentssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="parentssrc", parent_name="sunburst", **kwargs):
-        super(ParentssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParentsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="parents", parent_name="sunburst", **kwargs):
-        super(ParentsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="outsidetextfont", parent_name="sunburst", **kwargs):
-        super(OutsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="sunburst", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="sunburst", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="sunburst", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="sunburst", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdepthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="maxdepth", parent_name="sunburst", **kwargs):
-        super(MaxdepthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="sunburst", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if colorsis set to a numerical
-                array. In case `colorscale` is unspecified or
-                `autocolorscale` is true, the default  palette
-                will be chosen according to whether numbers in
-                the `color` array are all positive, all
-                negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                colors) or the bounds set in `marker.cmin` and
-                `marker.cmax`  Has an effect only if colorsis
-                set to a numerical array. Defaults to `false`
-                when `marker.cmin` and `marker.cmax` are set by
-                the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if colorsis set to a numerical
-                array. Value should have the same units as
-                colors and if set, `marker.cmin` must be set as
-                well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if colorsis set to a numerical array.
-                Value should have the same units as colors. Has
-                no effect when `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if colorsis set to a numerical
-                array. Value should have the same units as
-                colors and if set, `marker.cmax` must be set as
-                well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.sunburst.marker.Co
-                lorBar` instance or dict with compatible
-                properties
-            colors
-                Sets the color of each sector of this trace. If
-                not specified, the default trace color set is
-                used to pick the sector colors.
-            colorscale
-                Sets the colorscale. Has an effect only if
-                colorsis set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorssrc
-                Sets the source reference on Chart Studio Cloud
-                for  colors .
-            line
-                :class:`plotly.graph_objects.sunburst.marker.Li
-                ne` instance or dict with compatible properties
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if colorsis set to a numerical
-                array. If true, `marker.cmin` will correspond
-                to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                colorsis set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LevelValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="level", parent_name="sunburst", **kwargs):
-        super(LevelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LeafValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="leaf", parent_name="sunburst", **kwargs):
-        super(LeafValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Leaf"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            opacity
-                Sets the opacity of the leaves. With colorscale
-                it is defaulted to 1; otherwise it is defaulted
-                to 0.7
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="labelssrc", parent_name="sunburst", **kwargs):
-        super(LabelssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="labels", parent_name="sunburst", **kwargs):
-        super(LabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="insidetextorientation", parent_name="sunburst", **kwargs
-    ):
-        super(InsidetextorientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["horizontal", "radial", "tangential", "auto"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="insidetextfont", parent_name="sunburst", **kwargs):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="sunburst", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="sunburst", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="sunburst", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="sunburst", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="sunburst", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="sunburst", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="sunburst", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="sunburst", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="sunburst", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop(
-                "flags",
-                [
-                    "label",
-                    "text",
-                    "value",
-                    "name",
-                    "current path",
-                    "percent root",
-                    "percent entry",
-                    "percent parent",
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="sunburst", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this sunburst trace
-                .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this sunburst trace .
-            x
-                Sets the horizontal domain of this sunburst
-                trace (in plot fraction).
-            y
-                Sets the vertical domain of this sunburst trace
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="sunburst", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="sunburst", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="count", parent_name="sunburst", **kwargs):
-        super(CountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            flags=kwargs.pop("flags", ["branches", "leaves"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BranchvaluesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="branchvalues", parent_name="sunburst", **kwargs):
-        super(BranchvaluesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["remainder", "total"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textinfo import TextinfoValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._parentssrc import ParentssrcValidator
+    from ._parents import ParentsValidator
+    from ._outsidetextfont import OutsidetextfontValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._maxdepth import MaxdepthValidator
+    from ._marker import MarkerValidator
+    from ._level import LevelValidator
+    from ._leaf import LeafValidator
+    from ._labelssrc import LabelssrcValidator
+    from ._labels import LabelsValidator
+    from ._insidetextorientation import InsidetextorientationValidator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._domain import DomainValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._count import CountValidator
+    from ._branchvalues import BranchvaluesValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textinfo.TextinfoValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._parentssrc.ParentssrcValidator",
+            "._parents.ParentsValidator",
+            "._outsidetextfont.OutsidetextfontValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._maxdepth.MaxdepthValidator",
+            "._marker.MarkerValidator",
+            "._level.LevelValidator",
+            "._leaf.LeafValidator",
+            "._labelssrc.LabelssrcValidator",
+            "._labels.LabelsValidator",
+            "._insidetextorientation.InsidetextorientationValidator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._domain.DomainValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._count.CountValidator",
+            "._branchvalues.BranchvaluesValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_branchvalues.py b/packages/python/plotly/plotly/validators/sunburst/_branchvalues.py
new file mode 100644
index 00000000000..0903d1d1db4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_branchvalues.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BranchvaluesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="branchvalues", parent_name="sunburst", **kwargs):
+        super(BranchvaluesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["remainder", "total"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_count.py b/packages/python/plotly/plotly/validators/sunburst/_count.py
new file mode 100644
index 00000000000..765822a30a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_count.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CountValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="count", parent_name="sunburst", **kwargs):
+        super(CountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            flags=kwargs.pop("flags", ["branches", "leaves"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_customdata.py b/packages/python/plotly/plotly/validators/sunburst/_customdata.py
new file mode 100644
index 00000000000..2f6514244ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="sunburst", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_customdatasrc.py b/packages/python/plotly/plotly/validators/sunburst/_customdatasrc.py
new file mode 100644
index 00000000000..de5eec30716
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="sunburst", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_domain.py b/packages/python/plotly/plotly/validators/sunburst/_domain.py
new file mode 100644
index 00000000000..d04c9869a3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="sunburst", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this sunburst trace
+                .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this sunburst trace .
+            x
+                Sets the horizontal domain of this sunburst
+                trace (in plot fraction).
+            y
+                Sets the vertical domain of this sunburst trace
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hoverinfo.py b/packages/python/plotly/plotly/validators/sunburst/_hoverinfo.py
new file mode 100644
index 00000000000..fae8b356513
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hoverinfo.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="sunburst", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop(
+                "flags",
+                [
+                    "label",
+                    "text",
+                    "value",
+                    "name",
+                    "current path",
+                    "percent root",
+                    "percent entry",
+                    "percent parent",
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/sunburst/_hoverinfosrc.py
new file mode 100644
index 00000000000..bc855383e0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="sunburst", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hoverlabel.py b/packages/python/plotly/plotly/validators/sunburst/_hoverlabel.py
new file mode 100644
index 00000000000..8675fba8789
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="sunburst", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hovertemplate.py b/packages/python/plotly/plotly/validators/sunburst/_hovertemplate.py
new file mode 100644
index 00000000000..904f20218fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="sunburst", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/sunburst/_hovertemplatesrc.py
new file mode 100644
index 00000000000..d9b9daf6a36
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="sunburst", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hovertext.py b/packages/python/plotly/plotly/validators/sunburst/_hovertext.py
new file mode 100644
index 00000000000..077316fb546
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="sunburst", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_hovertextsrc.py b/packages/python/plotly/plotly/validators/sunburst/_hovertextsrc.py
new file mode 100644
index 00000000000..6d27191bd9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="sunburst", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_ids.py b/packages/python/plotly/plotly/validators/sunburst/_ids.py
new file mode 100644
index 00000000000..73dd4936c95
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_ids.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="sunburst", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_idssrc.py b/packages/python/plotly/plotly/validators/sunburst/_idssrc.py
new file mode 100644
index 00000000000..08e47b941ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="sunburst", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_insidetextfont.py b/packages/python/plotly/plotly/validators/sunburst/_insidetextfont.py
new file mode 100644
index 00000000000..0e8a0271aab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_insidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="insidetextfont", parent_name="sunburst", **kwargs):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_insidetextorientation.py b/packages/python/plotly/plotly/validators/sunburst/_insidetextorientation.py
new file mode 100644
index 00000000000..99088a08abb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_insidetextorientation.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="insidetextorientation", parent_name="sunburst", **kwargs
+    ):
+        super(InsidetextorientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["horizontal", "radial", "tangential", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_labels.py b/packages/python/plotly/plotly/validators/sunburst/_labels.py
new file mode 100644
index 00000000000..6c337958a3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_labels.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="labels", parent_name="sunburst", **kwargs):
+        super(LabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_labelssrc.py b/packages/python/plotly/plotly/validators/sunburst/_labelssrc.py
new file mode 100644
index 00000000000..db19b9fcf41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_labelssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="labelssrc", parent_name="sunburst", **kwargs):
+        super(LabelssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_leaf.py b/packages/python/plotly/plotly/validators/sunburst/_leaf.py
new file mode 100644
index 00000000000..5f6c10d0341
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_leaf.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class LeafValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="leaf", parent_name="sunburst", **kwargs):
+        super(LeafValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Leaf"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            opacity
+                Sets the opacity of the leaves. With colorscale
+                it is defaulted to 1; otherwise it is defaulted
+                to 0.7
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_level.py b/packages/python/plotly/plotly/validators/sunburst/_level.py
new file mode 100644
index 00000000000..3f01d91839d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_level.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LevelValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="level", parent_name="sunburst", **kwargs):
+        super(LevelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_marker.py b/packages/python/plotly/plotly/validators/sunburst/_marker.py
new file mode 100644
index 00000000000..a34af0cfc06
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_marker.py
@@ -0,0 +1,103 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="sunburst", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if colorsis set to a numerical
+                array. In case `colorscale` is unspecified or
+                `autocolorscale` is true, the default  palette
+                will be chosen according to whether numbers in
+                the `color` array are all positive, all
+                negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                colors) or the bounds set in `marker.cmin` and
+                `marker.cmax`  Has an effect only if colorsis
+                set to a numerical array. Defaults to `false`
+                when `marker.cmin` and `marker.cmax` are set by
+                the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if colorsis set to a numerical
+                array. Value should have the same units as
+                colors and if set, `marker.cmin` must be set as
+                well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if colorsis set to a numerical array.
+                Value should have the same units as colors. Has
+                no effect when `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if colorsis set to a numerical
+                array. Value should have the same units as
+                colors and if set, `marker.cmax` must be set as
+                well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.sunburst.marker.Co
+                lorBar` instance or dict with compatible
+                properties
+            colors
+                Sets the color of each sector of this trace. If
+                not specified, the default trace color set is
+                used to pick the sector colors.
+            colorscale
+                Sets the colorscale. Has an effect only if
+                colorsis set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorssrc
+                Sets the source reference on Chart Studio Cloud
+                for  colors .
+            line
+                :class:`plotly.graph_objects.sunburst.marker.Li
+                ne` instance or dict with compatible properties
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if colorsis set to a numerical
+                array. If true, `marker.cmin` will correspond
+                to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                colorsis set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_maxdepth.py b/packages/python/plotly/plotly/validators/sunburst/_maxdepth.py
new file mode 100644
index 00000000000..0e1ef0605f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_maxdepth.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdepthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="maxdepth", parent_name="sunburst", **kwargs):
+        super(MaxdepthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_meta.py b/packages/python/plotly/plotly/validators/sunburst/_meta.py
new file mode 100644
index 00000000000..d7f3d98240c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="sunburst", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_metasrc.py b/packages/python/plotly/plotly/validators/sunburst/_metasrc.py
new file mode 100644
index 00000000000..527c2c6710b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="sunburst", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_name.py b/packages/python/plotly/plotly/validators/sunburst/_name.py
new file mode 100644
index 00000000000..4ca91dd164c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="sunburst", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_opacity.py b/packages/python/plotly/plotly/validators/sunburst/_opacity.py
new file mode 100644
index 00000000000..a29f4e12e84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="sunburst", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_outsidetextfont.py b/packages/python/plotly/plotly/validators/sunburst/_outsidetextfont.py
new file mode 100644
index 00000000000..0ea11e30e35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_outsidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="outsidetextfont", parent_name="sunburst", **kwargs):
+        super(OutsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_parents.py b/packages/python/plotly/plotly/validators/sunburst/_parents.py
new file mode 100644
index 00000000000..9fcb0e779cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_parents.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ParentsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="parents", parent_name="sunburst", **kwargs):
+        super(ParentsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_parentssrc.py b/packages/python/plotly/plotly/validators/sunburst/_parentssrc.py
new file mode 100644
index 00000000000..eb4f116ced4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_parentssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ParentssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="parentssrc", parent_name="sunburst", **kwargs):
+        super(ParentssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_stream.py b/packages/python/plotly/plotly/validators/sunburst/_stream.py
new file mode 100644
index 00000000000..6ccf989d5c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="sunburst", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_text.py b/packages/python/plotly/plotly/validators/sunburst/_text.py
new file mode 100644
index 00000000000..950eeb3cb71
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="sunburst", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_textfont.py b/packages/python/plotly/plotly/validators/sunburst/_textfont.py
new file mode 100644
index 00000000000..b490539165c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="sunburst", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_textinfo.py b/packages/python/plotly/plotly/validators/sunburst/_textinfo.py
new file mode 100644
index 00000000000..41004e7b506
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_textinfo.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="textinfo", parent_name="sunburst", **kwargs):
+        super(TextinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop(
+                "flags",
+                [
+                    "label",
+                    "text",
+                    "value",
+                    "current path",
+                    "percent root",
+                    "percent entry",
+                    "percent parent",
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_textsrc.py b/packages/python/plotly/plotly/validators/sunburst/_textsrc.py
new file mode 100644
index 00000000000..e651f76b997
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="sunburst", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_texttemplate.py b/packages/python/plotly/plotly/validators/sunburst/_texttemplate.py
new file mode 100644
index 00000000000..6fc9642eb7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="sunburst", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/sunburst/_texttemplatesrc.py
new file mode 100644
index 00000000000..e13327efdac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_texttemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="texttemplatesrc", parent_name="sunburst", **kwargs):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_uid.py b/packages/python/plotly/plotly/validators/sunburst/_uid.py
new file mode 100644
index 00000000000..bd71b27989f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_uid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="sunburst", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_uirevision.py b/packages/python/plotly/plotly/validators/sunburst/_uirevision.py
new file mode 100644
index 00000000000..428aa028f84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="sunburst", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_values.py b/packages/python/plotly/plotly/validators/sunburst/_values.py
new file mode 100644
index 00000000000..4347ae69748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="sunburst", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_valuessrc.py b/packages/python/plotly/plotly/validators/sunburst/_valuessrc.py
new file mode 100644
index 00000000000..fd26301a5cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_valuessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuessrc", parent_name="sunburst", **kwargs):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/_visible.py b/packages/python/plotly/plotly/validators/sunburst/_visible.py
new file mode 100644
index 00000000000..2a3ae55c013
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="sunburst", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/domain/__init__.py b/packages/python/plotly/plotly/validators/sunburst/domain/__init__.py
index 1247d1fb9ab..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/sunburst/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="sunburst.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="sunburst.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="sunburst.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="sunburst.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/domain/_column.py b/packages/python/plotly/plotly/validators/sunburst/domain/_column.py
new file mode 100644
index 00000000000..99e22a91439
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="sunburst.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/domain/_row.py b/packages/python/plotly/plotly/validators/sunburst/domain/_row.py
new file mode 100644
index 00000000000..7680b962983
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="sunburst.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/domain/_x.py b/packages/python/plotly/plotly/validators/sunburst/domain/_x.py
new file mode 100644
index 00000000000..8717cd5e6a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="sunburst.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/domain/_y.py b/packages/python/plotly/plotly/validators/sunburst/domain/_y.py
new file mode 100644
index 00000000000..350ebe57b68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="sunburst.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/__init__.py
index e74366142bb..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/__init__.py
@@ -1,180 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="sunburst.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="sunburst.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_align.py
new file mode 100644
index 00000000000..841b765f372
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..e27ee42cf8b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..ad74a8c927a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..a4f3eba8c24
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..dbe1e3f50f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..124edd016b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_font.py
new file mode 100644
index 00000000000..616ce1245e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="sunburst.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..a19b58c3017
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..38d78167905
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="sunburst.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/__init__.py
index e003a51b752..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sunburst.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="sunburst.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="sunburst.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="sunburst.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sunburst.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sunburst.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..1ceab2c94fb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sunburst.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..c1619e0ef45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sunburst.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..950ee901f42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="sunburst.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..40cc6cdfcac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="sunburst.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..7d8cf4d58e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="sunburst.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..2516e4da679
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sunburst.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/__init__.py
index 10192f48db2..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sunburst.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="sunburst.insidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="sunburst.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="sunburst.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sunburst.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sunburst.insidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_color.py
new file mode 100644
index 00000000000..0ad28f98dec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sunburst.insidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..b7b9144df81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sunburst.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_family.py
new file mode 100644
index 00000000000..7145df6fef7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="sunburst.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..73005fd9c5a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="sunburst.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_size.py
new file mode 100644
index 00000000000..e317d0703d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="sunburst.insidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..07e3aeb5059
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sunburst.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/leaf/__init__.py b/packages/python/plotly/plotly/validators/sunburst/leaf/__init__.py
index c9b865d07ac..163f929070c 100644
--- a/packages/python/plotly/plotly/validators/sunburst/leaf/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/leaf/__init__.py
@@ -1,14 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._opacity import OpacityValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="sunburst.leaf", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._opacity.OpacityValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/leaf/_opacity.py b/packages/python/plotly/plotly/validators/sunburst/leaf/_opacity.py
new file mode 100644
index 00000000000..c9b865d07ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/leaf/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="sunburst.leaf", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/__init__.py
index 4b440c5413f..96e91907520 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/__init__.py
@@ -1,432 +1,38 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showscale", parent_name="sunburst.marker", **kwargs
-    ):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="sunburst.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="sunburst.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the line enclosing each
-                sector. Defaults to the `paper_bgcolor` value.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the line enclosing
-                each sector.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorssrc", parent_name="sunburst.marker", **kwargs
-    ):
-        super(ColorssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="sunburst.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="colors", parent_name="sunburst.marker", **kwargs):
-        super(ColorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="sunburst.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.sunburs
-                t.marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.sunburst.marker.colorbar.tickformatstopdefaul
-                ts), sets the default property values to use
-                for elements of
-                sunburst.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.sunburst.marker.co
-                lorbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                sunburst.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                sunburst.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(
-        self, plotly_name="coloraxis", parent_name="sunburst.marker", **kwargs
-    ):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="sunburst.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="sunburst.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="sunburst.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="sunburst.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="sunburst.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._line import LineValidator
+    from ._colorssrc import ColorssrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colors import ColorsValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._line.LineValidator",
+            "._colorssrc.ColorssrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colors.ColorsValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/sunburst/marker/_autocolorscale.py
new file mode 100644
index 00000000000..297a2cf0cf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="sunburst.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_cauto.py b/packages/python/plotly/plotly/validators/sunburst/marker/_cauto.py
new file mode 100644
index 00000000000..4745495be35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="sunburst.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_cmax.py b/packages/python/plotly/plotly/validators/sunburst/marker/_cmax.py
new file mode 100644
index 00000000000..14985397643
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="sunburst.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_cmid.py b/packages/python/plotly/plotly/validators/sunburst/marker/_cmid.py
new file mode 100644
index 00000000000..3df5169786b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="sunburst.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_cmin.py b/packages/python/plotly/plotly/validators/sunburst/marker/_cmin.py
new file mode 100644
index 00000000000..d80e7433319
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="sunburst.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/sunburst/marker/_coloraxis.py
new file mode 100644
index 00000000000..0eb0ccdfeb3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_coloraxis.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(
+        self, plotly_name="coloraxis", parent_name="sunburst.marker", **kwargs
+    ):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_colorbar.py b/packages/python/plotly/plotly/validators/sunburst/marker/_colorbar.py
new file mode 100644
index 00000000000..2642fb62b84
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="sunburst.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.sunburs
+                t.marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.sunburst.marker.colorbar.tickformatstopdefaul
+                ts), sets the default property values to use
+                for elements of
+                sunburst.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.sunburst.marker.co
+                lorbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                sunburst.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                sunburst.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_colors.py b/packages/python/plotly/plotly/validators/sunburst/marker/_colors.py
new file mode 100644
index 00000000000..d399c98d6af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_colors.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="colors", parent_name="sunburst.marker", **kwargs):
+        super(ColorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_colorscale.py b/packages/python/plotly/plotly/validators/sunburst/marker/_colorscale.py
new file mode 100644
index 00000000000..5b50d63948f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="sunburst.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_colorssrc.py b/packages/python/plotly/plotly/validators/sunburst/marker/_colorssrc.py
new file mode 100644
index 00000000000..555e95066b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_colorssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorssrc", parent_name="sunburst.marker", **kwargs
+    ):
+        super(ColorssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_line.py b/packages/python/plotly/plotly/validators/sunburst/marker/_line.py
new file mode 100644
index 00000000000..eb7689f83a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_line.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="sunburst.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the line enclosing each
+                sector. Defaults to the `paper_bgcolor` value.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the line enclosing
+                each sector.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_reversescale.py b/packages/python/plotly/plotly/validators/sunburst/marker/_reversescale.py
new file mode 100644
index 00000000000..81f07983ead
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="sunburst.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/_showscale.py b/packages/python/plotly/plotly/validators/sunburst/marker/_showscale.py
new file mode 100644
index 00000000000..906c86ce1b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/_showscale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showscale", parent_name="sunburst.marker", **kwargs
+    ):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/__init__.py
index 5260c49c1d0..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/__init__.py
@@ -1,810 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="tickvalssrc",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self,
-        plotly_name="ticktextsrc",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="borderwidth",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="bordercolor",
-        parent_name="sunburst.marker.colorbar",
-        **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="sunburst.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..99ef1887049
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..d437cb9bc91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_bordercolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="bordercolor",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..dfcf71bf56f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_borderwidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="borderwidth",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..3cad6233c90
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..3e37dfa993a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_len.py
new file mode 100644
index 00000000000..ea706e8e06f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..6dea67af60d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..a07c86339fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..00dc8ff6fe9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..3cd9fd78e1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..a1d3383852c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..68ccd42cb49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..13f7f5dff17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..df7cbaf539b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..755a5206ea2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..e86562d708d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..d41e94722a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..f3561f91be3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..689ce8f6110
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..41d0ffa6fc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..08fca854986
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..f2adc2da45b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..a10d7feccb7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..c07b44ea67f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..cf21fa92c96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..0e152ab285a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..cd723a174b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..59031427cad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..f9bb831356f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..ab224c02ec5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..cb78d9e8ded
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="ticktextsrc",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..8d30a0aa6ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..5306546dcf9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self,
+        plotly_name="tickvalssrc",
+        parent_name="sunburst.marker.colorbar",
+        **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..d9afcdf5869
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_title.py
new file mode 100644
index 00000000000..cf7505a1fb3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_x.py
new file mode 100644
index 00000000000..882a633e126
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..f2a257565b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..044596fef70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_y.py
new file mode 100644
index 00000000000..4cb81d3d7d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..c8cf17ccc66
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..38a0118518d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="sunburst.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/__init__.py
index de9228c2c8f..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="sunburst.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="sunburst.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="sunburst.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..ee1bd513e99
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="sunburst.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..277a3a6a9d6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="sunburst.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..d32a7de204d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="sunburst.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/__init__.py
index 8a766f4ad1b..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="sunburst.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="sunburst.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="sunburst.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="sunburst.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="sunburst.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..5f8502b1119
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="sunburst.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..c9ab88d4c9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="sunburst.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..2641ef93e46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="sunburst.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..8fd96cb3293
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="sunburst.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..6d6909934c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="sunburst.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/__init__.py
index 69c55d32612..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="sunburst.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="sunburst.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="sunburst.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..985833029c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="sunburst.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..7fe08649bd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="sunburst.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..b888ab0c684
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="sunburst.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/__init__.py
index bd3848eb1c1..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="sunburst.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="sunburst.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="sunburst.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..91862064948
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="sunburst.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..a0b8236aa68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="sunburst.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..97484b1222f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="sunburst.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/line/__init__.py b/packages/python/plotly/plotly/validators/sunburst/marker/line/__init__.py
index 52854ca6f02..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/sunburst/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/line/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="sunburst.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="sunburst.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sunburst.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sunburst.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/line/_color.py b/packages/python/plotly/plotly/validators/sunburst/marker/line/_color.py
new file mode 100644
index 00000000000..d53ccd9a741
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/line/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sunburst.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/sunburst/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..7f90dddcb87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sunburst.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/line/_width.py b/packages/python/plotly/plotly/validators/sunburst/marker/line/_width.py
new file mode 100644
index 00000000000..1bae9eaffef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="sunburst.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/sunburst/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..975f25cce6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="sunburst.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/__init__.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/__init__.py
index e4e921df626..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sunburst.outsidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="sunburst.outsidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="sunburst.outsidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="sunburst.outsidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sunburst.outsidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="sunburst.outsidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_color.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_color.py
new file mode 100644
index 00000000000..8e96c810830
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="sunburst.outsidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..9051eb88683
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sunburst.outsidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_family.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_family.py
new file mode 100644
index 00000000000..bb074d4c907
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="sunburst.outsidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_familysrc.py
new file mode 100644
index 00000000000..754905f72e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="sunburst.outsidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_size.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_size.py
new file mode 100644
index 00000000000..97556255bcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="sunburst.outsidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..35aad934feb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/outsidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sunburst.outsidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/stream/__init__.py b/packages/python/plotly/plotly/validators/sunburst/stream/__init__.py
index a9693aa41ae..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/sunburst/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="sunburst.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="sunburst.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/sunburst/stream/_maxpoints.py
new file mode 100644
index 00000000000..45656869e3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="sunburst.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/stream/_token.py b/packages/python/plotly/plotly/validators/sunburst/stream/_token.py
new file mode 100644
index 00000000000..1c7361ce0a6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="sunburst.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/__init__.py b/packages/python/plotly/plotly/validators/sunburst/textfont/__init__.py
index 092ebc24fb0..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/sunburst/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/__init__.py
@@ -1,94 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="sunburst.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="sunburst.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="sunburst.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="sunburst.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="sunburst.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="sunburst.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/_color.py b/packages/python/plotly/plotly/validators/sunburst/textfont/_color.py
new file mode 100644
index 00000000000..177f435e2ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="sunburst.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/sunburst/textfont/_colorsrc.py
new file mode 100644
index 00000000000..d46ffe07d97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="sunburst.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/_family.py b/packages/python/plotly/plotly/validators/sunburst/textfont/_family.py
new file mode 100644
index 00000000000..48bc96a0485
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="sunburst.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/sunburst/textfont/_familysrc.py
new file mode 100644
index 00000000000..27d38841819
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="sunburst.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/_size.py b/packages/python/plotly/plotly/validators/sunburst/textfont/_size.py
new file mode 100644
index 00000000000..d3de3327db5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="sunburst.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/sunburst/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/sunburst/textfont/_sizesrc.py
new file mode 100644
index 00000000000..b3db8d664b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/sunburst/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="sunburst.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/__init__.py b/packages/python/plotly/plotly/validators/surface/__init__.py
index aa5a570d5b4..3bbcccb1aae 100644
--- a/packages/python/plotly/plotly/validators/surface/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/__init__.py
@@ -1,1109 +1,114 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="surface", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="zcalendar", parent_name="surface", **kwargs):
-        super(ZcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="surface", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="surface", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ycalendar", parent_name="surface", **kwargs):
-        super(YcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="surface", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="surface", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xcalendar", parent_name="surface", **kwargs):
-        super(XcalendarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "gregorian",
-                    "chinese",
-                    "coptic",
-                    "discworld",
-                    "ethiopian",
-                    "hebrew",
-                    "islamic",
-                    "julian",
-                    "mayan",
-                    "nanakshahi",
-                    "nepali",
-                    "persian",
-                    "jalali",
-                    "taiwan",
-                    "thai",
-                    "ummalqura",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="surface", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="surface", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="surface", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="surface", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="surface", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="surface", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfacecolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="surfacecolorsrc", parent_name="surface", **kwargs):
-        super(SurfacecolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfacecolorValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="surfacecolor", parent_name="surface", **kwargs):
-        super(SurfacecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="surface", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="surface", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="surface", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="surface", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="surface", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityscaleValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="opacityscale", parent_name="surface", **kwargs):
-        super(OpacityscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="surface", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="surface", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="surface", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="surface", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lightposition", parent_name="surface", **kwargs):
-        super(LightpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Numeric vector, representing the X coordinate
-                for each vertex.
-            y
-                Numeric vector, representing the Y coordinate
-                for each vertex.
-            z
-                Numeric vector, representing the Z coordinate
-                for each vertex.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lighting", parent_name="surface", **kwargs):
-        super(LightingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lighting"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            ambient
-                Ambient light increases overall color
-                visibility but can wash out the image.
-            diffuse
-                Represents the extent that incident rays are
-                reflected in a range of angles.
-            fresnel
-                Represents the reflectance as a dependency of
-                the viewing angle; e.g. paper is reflective
-                when viewing it from the edge of the paper
-                (almost 90 degrees), causing shine.
-            roughness
-                Alters specular reflection; the rougher the
-                surface, the wider and less contrasty the
-                shine.
-            specular
-                Represents the level that incident rays are
-                reflected in a single direction, causing shine.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="surface", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="surface", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="surface", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="surface", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="surface", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="surface", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="surface", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="surface", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="surface", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="surface", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HidesurfaceValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="hidesurface", parent_name="surface", **kwargs):
-        super(HidesurfaceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="surface", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="surface", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contours", parent_name="surface", **kwargs):
-        super(ContoursValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contours"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                :class:`plotly.graph_objects.surface.contours.X
-                ` instance or dict with compatible properties
-            y
-                :class:`plotly.graph_objects.surface.contours.Y
-                ` instance or dict with compatible properties
-            z
-                :class:`plotly.graph_objects.surface.contours.Z
-                ` instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="connectgaps", parent_name="surface", **kwargs):
-        super(ConnectgapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="surface", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="surface", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.surface
-                .colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.surface.colorbar.tickformatstopdefaults),
-                sets the default property values to use for
-                elements of surface.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.surface.colorbar.T
-                itle` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                surface.colorbar.title.font instead. Sets this
-                color bar's title font. Note that the title's
-                font used to be set by the now deprecated
-                `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                surface.colorbar.title.side instead. Determines
-                the location of color bar's title with respect
-                to the color bar. Note that the title's
-                location used to be set by the now deprecated
-                `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="surface", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="surface", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="surface", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="surface", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="surface", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="surface", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._zcalendar import ZcalendarValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._ycalendar import YcalendarValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xcalendar import XcalendarValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._surfacecolorsrc import SurfacecolorsrcValidator
+    from ._surfacecolor import SurfacecolorValidator
+    from ._stream import StreamValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacityscale import OpacityscaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lightposition import LightpositionValidator
+    from ._lighting import LightingValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._hidesurface import HidesurfaceValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contours import ContoursValidator
+    from ._connectgaps import ConnectgapsValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._zcalendar.ZcalendarValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._ycalendar.YcalendarValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xcalendar.XcalendarValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._surfacecolorsrc.SurfacecolorsrcValidator",
+            "._surfacecolor.SurfacecolorValidator",
+            "._stream.StreamValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacityscale.OpacityscaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lightposition.LightpositionValidator",
+            "._lighting.LightingValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._hidesurface.HidesurfaceValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contours.ContoursValidator",
+            "._connectgaps.ConnectgapsValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/_autocolorscale.py b/packages/python/plotly/plotly/validators/surface/_autocolorscale.py
new file mode 100644
index 00000000000..1353099f121
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="surface", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_cauto.py b/packages/python/plotly/plotly/validators/surface/_cauto.py
new file mode 100644
index 00000000000..3e67decf05a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="surface", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_cmax.py b/packages/python/plotly/plotly/validators/surface/_cmax.py
new file mode 100644
index 00000000000..cfed7079d6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="surface", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_cmid.py b/packages/python/plotly/plotly/validators/surface/_cmid.py
new file mode 100644
index 00000000000..5806916ae03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="surface", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_cmin.py b/packages/python/plotly/plotly/validators/surface/_cmin.py
new file mode 100644
index 00000000000..4dedc9a94c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="surface", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_coloraxis.py b/packages/python/plotly/plotly/validators/surface/_coloraxis.py
new file mode 100644
index 00000000000..4c731501a34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="surface", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_colorbar.py b/packages/python/plotly/plotly/validators/surface/_colorbar.py
new file mode 100644
index 00000000000..c9e4b45a798
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="surface", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.surface
+                .colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.surface.colorbar.tickformatstopdefaults),
+                sets the default property values to use for
+                elements of surface.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.surface.colorbar.T
+                itle` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                surface.colorbar.title.font instead. Sets this
+                color bar's title font. Note that the title's
+                font used to be set by the now deprecated
+                `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                surface.colorbar.title.side instead. Determines
+                the location of color bar's title with respect
+                to the color bar. Note that the title's
+                location used to be set by the now deprecated
+                `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_colorscale.py b/packages/python/plotly/plotly/validators/surface/_colorscale.py
new file mode 100644
index 00000000000..37139d49fd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="surface", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_connectgaps.py b/packages/python/plotly/plotly/validators/surface/_connectgaps.py
new file mode 100644
index 00000000000..20b4f9e2c7c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_connectgaps.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="connectgaps", parent_name="surface", **kwargs):
+        super(ConnectgapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_contours.py b/packages/python/plotly/plotly/validators/surface/_contours.py
new file mode 100644
index 00000000000..779a0e032c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_contours.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contours", parent_name="surface", **kwargs):
+        super(ContoursValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contours"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                :class:`plotly.graph_objects.surface.contours.X
+                ` instance or dict with compatible properties
+            y
+                :class:`plotly.graph_objects.surface.contours.Y
+                ` instance or dict with compatible properties
+            z
+                :class:`plotly.graph_objects.surface.contours.Z
+                ` instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_customdata.py b/packages/python/plotly/plotly/validators/surface/_customdata.py
new file mode 100644
index 00000000000..181c4bd5f63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="surface", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_customdatasrc.py b/packages/python/plotly/plotly/validators/surface/_customdatasrc.py
new file mode 100644
index 00000000000..f4763a68559
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="surface", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hidesurface.py b/packages/python/plotly/plotly/validators/surface/_hidesurface.py
new file mode 100644
index 00000000000..7e448aa5c8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hidesurface.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HidesurfaceValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="hidesurface", parent_name="surface", **kwargs):
+        super(HidesurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hoverinfo.py b/packages/python/plotly/plotly/validators/surface/_hoverinfo.py
new file mode 100644
index 00000000000..2feee885a9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="surface", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/surface/_hoverinfosrc.py
new file mode 100644
index 00000000000..b86d130141b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="surface", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hoverlabel.py b/packages/python/plotly/plotly/validators/surface/_hoverlabel.py
new file mode 100644
index 00000000000..4b2e5404bef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="surface", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hovertemplate.py b/packages/python/plotly/plotly/validators/surface/_hovertemplate.py
new file mode 100644
index 00000000000..067df42a93c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="surface", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/surface/_hovertemplatesrc.py
new file mode 100644
index 00000000000..7a5cb49c475
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="surface", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hovertext.py b/packages/python/plotly/plotly/validators/surface/_hovertext.py
new file mode 100644
index 00000000000..60ccd8f5e21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="surface", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_hovertextsrc.py b/packages/python/plotly/plotly/validators/surface/_hovertextsrc.py
new file mode 100644
index 00000000000..026468417de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="surface", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_ids.py b/packages/python/plotly/plotly/validators/surface/_ids.py
new file mode 100644
index 00000000000..da5b79b6402
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="surface", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_idssrc.py b/packages/python/plotly/plotly/validators/surface/_idssrc.py
new file mode 100644
index 00000000000..e81c660064b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="surface", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_legendgroup.py b/packages/python/plotly/plotly/validators/surface/_legendgroup.py
new file mode 100644
index 00000000000..69c95133575
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="surface", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_lighting.py b/packages/python/plotly/plotly/validators/surface/_lighting.py
new file mode 100644
index 00000000000..6c1a996f239
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_lighting.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lighting", parent_name="surface", **kwargs):
+        super(LightingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lighting"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            ambient
+                Ambient light increases overall color
+                visibility but can wash out the image.
+            diffuse
+                Represents the extent that incident rays are
+                reflected in a range of angles.
+            fresnel
+                Represents the reflectance as a dependency of
+                the viewing angle; e.g. paper is reflective
+                when viewing it from the edge of the paper
+                (almost 90 degrees), causing shine.
+            roughness
+                Alters specular reflection; the rougher the
+                surface, the wider and less contrasty the
+                shine.
+            specular
+                Represents the level that incident rays are
+                reflected in a single direction, causing shine.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_lightposition.py b/packages/python/plotly/plotly/validators/surface/_lightposition.py
new file mode 100644
index 00000000000..02f527fed08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_lightposition.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lightposition", parent_name="surface", **kwargs):
+        super(LightpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Numeric vector, representing the X coordinate
+                for each vertex.
+            y
+                Numeric vector, representing the Y coordinate
+                for each vertex.
+            z
+                Numeric vector, representing the Z coordinate
+                for each vertex.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_meta.py b/packages/python/plotly/plotly/validators/surface/_meta.py
new file mode 100644
index 00000000000..3e84b0e30b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="surface", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_metasrc.py b/packages/python/plotly/plotly/validators/surface/_metasrc.py
new file mode 100644
index 00000000000..6e29a76299c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="surface", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_name.py b/packages/python/plotly/plotly/validators/surface/_name.py
new file mode 100644
index 00000000000..81927450618
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="surface", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_opacity.py b/packages/python/plotly/plotly/validators/surface/_opacity.py
new file mode 100644
index 00000000000..df598bbfe35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="surface", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_opacityscale.py b/packages/python/plotly/plotly/validators/surface/_opacityscale.py
new file mode 100644
index 00000000000..ff35304a576
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_opacityscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityscaleValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="opacityscale", parent_name="surface", **kwargs):
+        super(OpacityscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_reversescale.py b/packages/python/plotly/plotly/validators/surface/_reversescale.py
new file mode 100644
index 00000000000..a5bc4789c61
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="surface", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_scene.py b/packages/python/plotly/plotly/validators/surface/_scene.py
new file mode 100644
index 00000000000..4d0f17a1c1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="surface", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_showlegend.py b/packages/python/plotly/plotly/validators/surface/_showlegend.py
new file mode 100644
index 00000000000..d609611ab3f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="surface", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_showscale.py b/packages/python/plotly/plotly/validators/surface/_showscale.py
new file mode 100644
index 00000000000..8d98a7a34f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="surface", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_stream.py b/packages/python/plotly/plotly/validators/surface/_stream.py
new file mode 100644
index 00000000000..8d25ea25895
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="surface", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_surfacecolor.py b/packages/python/plotly/plotly/validators/surface/_surfacecolor.py
new file mode 100644
index 00000000000..53bd52395c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_surfacecolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SurfacecolorValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="surfacecolor", parent_name="surface", **kwargs):
+        super(SurfacecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_surfacecolorsrc.py b/packages/python/plotly/plotly/validators/surface/_surfacecolorsrc.py
new file mode 100644
index 00000000000..497b86e9000
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_surfacecolorsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SurfacecolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="surfacecolorsrc", parent_name="surface", **kwargs):
+        super(SurfacecolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_text.py b/packages/python/plotly/plotly/validators/surface/_text.py
new file mode 100644
index 00000000000..96a43890ab2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="surface", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_textsrc.py b/packages/python/plotly/plotly/validators/surface/_textsrc.py
new file mode 100644
index 00000000000..ac7c7b733f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="surface", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_uid.py b/packages/python/plotly/plotly/validators/surface/_uid.py
new file mode 100644
index 00000000000..568da068d1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="surface", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_uirevision.py b/packages/python/plotly/plotly/validators/surface/_uirevision.py
new file mode 100644
index 00000000000..58ca157d701
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="surface", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_visible.py b/packages/python/plotly/plotly/validators/surface/_visible.py
new file mode 100644
index 00000000000..a4ef75a3331
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="surface", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_x.py b/packages/python/plotly/plotly/validators/surface/_x.py
new file mode 100644
index 00000000000..a85d5b8e871
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="surface", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_xcalendar.py b/packages/python/plotly/plotly/validators/surface/_xcalendar.py
new file mode 100644
index 00000000000..56e31aa909a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_xcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xcalendar", parent_name="surface", **kwargs):
+        super(XcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_xsrc.py b/packages/python/plotly/plotly/validators/surface/_xsrc.py
new file mode 100644
index 00000000000..94da86791b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="surface", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_y.py b/packages/python/plotly/plotly/validators/surface/_y.py
new file mode 100644
index 00000000000..b501713cb38
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="surface", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_ycalendar.py b/packages/python/plotly/plotly/validators/surface/_ycalendar.py
new file mode 100644
index 00000000000..8552e00e559
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_ycalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ycalendar", parent_name="surface", **kwargs):
+        super(YcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_ysrc.py b/packages/python/plotly/plotly/validators/surface/_ysrc.py
new file mode 100644
index 00000000000..494ca24f05b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="surface", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_z.py b/packages/python/plotly/plotly/validators/surface/_z.py
new file mode 100644
index 00000000000..2f953befcdf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="surface", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_zcalendar.py b/packages/python/plotly/plotly/validators/surface/_zcalendar.py
new file mode 100644
index 00000000000..a91372e0018
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_zcalendar.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class ZcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="zcalendar", parent_name="surface", **kwargs):
+        super(ZcalendarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "gregorian",
+                    "chinese",
+                    "coptic",
+                    "discworld",
+                    "ethiopian",
+                    "hebrew",
+                    "islamic",
+                    "julian",
+                    "mayan",
+                    "nanakshahi",
+                    "nepali",
+                    "persian",
+                    "jalali",
+                    "taiwan",
+                    "thai",
+                    "ummalqura",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/_zsrc.py b/packages/python/plotly/plotly/validators/surface/_zsrc.py
new file mode 100644
index 00000000000..fad1bb0a184
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="surface", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/__init__.py b/packages/python/plotly/plotly/validators/surface/colorbar/__init__.py
index 5684dde1b27..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/surface/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/__init__.py
@@ -1,738 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="surface.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="surface.colorbar", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="surface.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="surface.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="surface.colorbar", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="surface.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="surface.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="surface.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="surface.colorbar", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="surface.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="surface.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="surface.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="surface.colorbar", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="surface.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="surface.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="surface.colorbar", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="surface.colorbar", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="surface.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="surface.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="surface.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="surface.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="surface.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="surface.colorbar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/surface/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..628455e5a8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="surface.colorbar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/surface/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..c3efc738997
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="surface.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/surface/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..9d2211a9592
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="surface.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/surface/colorbar/_dtick.py
new file mode 100644
index 00000000000..2d1718030a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="surface.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/surface/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..62ffdfd845c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_len.py b/packages/python/plotly/plotly/validators/surface/colorbar/_len.py
new file mode 100644
index 00000000000..269d997a1b5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="surface.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/surface/colorbar/_lenmode.py
new file mode 100644
index 00000000000..ac608eafd26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="surface.colorbar", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/surface/colorbar/_nticks.py
new file mode 100644
index 00000000000..5e34e6c2f7d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="surface.colorbar", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/surface/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..377094739c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="surface.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/surface/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..409294c2642
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="surface.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/surface/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..c7c8a3f0786
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="surface.colorbar", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/surface/colorbar/_showexponent.py
new file mode 100644
index 00000000000..5428e0a15fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/surface/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..410a34cd6ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/surface/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..4e591379f60
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/surface/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..10eb2a4ca92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/surface/colorbar/_thickness.py
new file mode 100644
index 00000000000..1b7e913b318
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/surface/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..be09a9567da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="surface.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tick0.py
new file mode 100644
index 00000000000..36f4ab11352
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="surface.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickangle.py
new file mode 100644
index 00000000000..1a844ade69f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..c12deb59435
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickfont.py
new file mode 100644
index 00000000000..6b14b4de3bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickformat.py
new file mode 100644
index 00000000000..638e454f51f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..911518d7361
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="surface.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..e32ea585ef0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/surface/colorbar/_ticklen.py
new file mode 100644
index 00000000000..edad3dda139
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="surface.colorbar", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickmode.py
new file mode 100644
index 00000000000..a7c784fbf3c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..71b62fcbeb3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/surface/colorbar/_ticks.py
new file mode 100644
index 00000000000..8576f2c7874
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="surface.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/surface/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..6895039afd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/surface/colorbar/_ticktext.py
new file mode 100644
index 00000000000..d02a3b438a8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/surface/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..fd0919fd485
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickvals.py
new file mode 100644
index 00000000000..fd9bb6d9aa3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..d67363a8dac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/surface/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..03b9e99b612
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="surface.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_title.py b/packages/python/plotly/plotly/validators/surface/colorbar/_title.py
new file mode 100644
index 00000000000..24d70939442
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="surface.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_x.py b/packages/python/plotly/plotly/validators/surface/colorbar/_x.py
new file mode 100644
index 00000000000..0e3c631561e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="surface.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/surface/colorbar/_xanchor.py
new file mode 100644
index 00000000000..aa7e0bf9360
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="surface.colorbar", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/surface/colorbar/_xpad.py
new file mode 100644
index 00000000000..15ece6a7e30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="surface.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_y.py b/packages/python/plotly/plotly/validators/surface/colorbar/_y.py
new file mode 100644
index 00000000000..721f41eb495
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="surface.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/surface/colorbar/_yanchor.py
new file mode 100644
index 00000000000..c94d354baaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="surface.colorbar", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/surface/colorbar/_ypad.py
new file mode 100644
index 00000000000..fcae8774271
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="surface.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/__init__.py
index 3e9778df98a..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="surface.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="surface.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="surface.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..b7e034b6b1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="surface.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..9e87524ea4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="surface.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..fcd72dcabe7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="surface.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/__init__.py
index 68bb518185d..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="surface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="surface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="surface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="surface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="surface.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..296573c9270
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="surface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..4c8ea1221c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="surface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..d6ca8c64697
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="surface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..66dce01fac4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="surface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..052f63b5d4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="surface.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/__init__.py
index 161d0579705..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/surface/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="surface.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="surface.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="surface.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/_font.py
new file mode 100644
index 00000000000..a1c6e158cf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="surface.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/_side.py
new file mode 100644
index 00000000000..3b7da512edf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="surface.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/_text.py
new file mode 100644
index 00000000000..a53eb8ff573
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="surface.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/__init__.py
index eb6657a5a2c..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/surface/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="surface.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="surface.colorbar.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="surface.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..f4ca329a8dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="surface.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..512df222041
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="surface.colorbar.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..da7ebe1781c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="surface.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/__init__.py
index 1713dea7671..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/__init__.py
@@ -1,151 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="z", parent_name="surface.contours", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Z"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour lines.
-            end
-                Sets the end contour level value. Must be more
-                than `contours.start`
-            highlight
-                Determines whether or not contour lines about
-                the z dimension are highlighted on hover.
-            highlightcolor
-                Sets the color of the highlighted contour
-                lines.
-            highlightwidth
-                Sets the width of the highlighted contour
-                lines.
-            project
-                :class:`plotly.graph_objects.surface.contours.z
-                .Project` instance or dict with compatible
-                properties
-            show
-                Determines whether or not contour lines about
-                the z dimension are drawn.
-            size
-                Sets the step between each contour level. Must
-                be positive.
-            start
-                Sets the starting contour level value. Must be
-                less than `contours.end`
-            usecolormap
-                An alternate to "color". Determines whether or
-                not the contour lines are colored using the
-                trace "colorscale".
-            width
-                Sets the width of the contour lines.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="y", parent_name="surface.contours", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Y"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour lines.
-            end
-                Sets the end contour level value. Must be more
-                than `contours.start`
-            highlight
-                Determines whether or not contour lines about
-                the y dimension are highlighted on hover.
-            highlightcolor
-                Sets the color of the highlighted contour
-                lines.
-            highlightwidth
-                Sets the width of the highlighted contour
-                lines.
-            project
-                :class:`plotly.graph_objects.surface.contours.y
-                .Project` instance or dict with compatible
-                properties
-            show
-                Determines whether or not contour lines about
-                the y dimension are drawn.
-            size
-                Sets the step between each contour level. Must
-                be positive.
-            start
-                Sets the starting contour level value. Must be
-                less than `contours.end`
-            usecolormap
-                An alternate to "color". Determines whether or
-                not the contour lines are colored using the
-                trace "colorscale".
-            width
-                Sets the width of the contour lines.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="x", parent_name="surface.contours", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "X"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour lines.
-            end
-                Sets the end contour level value. Must be more
-                than `contours.start`
-            highlight
-                Determines whether or not contour lines about
-                the x dimension are highlighted on hover.
-            highlightcolor
-                Sets the color of the highlighted contour
-                lines.
-            highlightwidth
-                Sets the width of the highlighted contour
-                lines.
-            project
-                :class:`plotly.graph_objects.surface.contours.x
-                .Project` instance or dict with compatible
-                properties
-            show
-                Determines whether or not contour lines about
-                the x dimension are drawn.
-            size
-                Sets the step between each contour level. Must
-                be positive.
-            start
-                Sets the starting contour level value. Must be
-                less than `contours.end`
-            usecolormap
-                An alternate to "color". Determines whether or
-                not the contour lines are colored using the
-                trace "colorscale".
-            width
-                Sets the width of the contour lines.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/_x.py b/packages/python/plotly/plotly/validators/surface/contours/_x.py
new file mode 100644
index 00000000000..160b01bd53f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/_x.py
@@ -0,0 +1,49 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="x", parent_name="surface.contours", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "X"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour lines.
+            end
+                Sets the end contour level value. Must be more
+                than `contours.start`
+            highlight
+                Determines whether or not contour lines about
+                the x dimension are highlighted on hover.
+            highlightcolor
+                Sets the color of the highlighted contour
+                lines.
+            highlightwidth
+                Sets the width of the highlighted contour
+                lines.
+            project
+                :class:`plotly.graph_objects.surface.contours.x
+                .Project` instance or dict with compatible
+                properties
+            show
+                Determines whether or not contour lines about
+                the x dimension are drawn.
+            size
+                Sets the step between each contour level. Must
+                be positive.
+            start
+                Sets the starting contour level value. Must be
+                less than `contours.end`
+            usecolormap
+                An alternate to "color". Determines whether or
+                not the contour lines are colored using the
+                trace "colorscale".
+            width
+                Sets the width of the contour lines.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/_y.py b/packages/python/plotly/plotly/validators/surface/contours/_y.py
new file mode 100644
index 00000000000..86632e339a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/_y.py
@@ -0,0 +1,49 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="y", parent_name="surface.contours", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Y"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour lines.
+            end
+                Sets the end contour level value. Must be more
+                than `contours.start`
+            highlight
+                Determines whether or not contour lines about
+                the y dimension are highlighted on hover.
+            highlightcolor
+                Sets the color of the highlighted contour
+                lines.
+            highlightwidth
+                Sets the width of the highlighted contour
+                lines.
+            project
+                :class:`plotly.graph_objects.surface.contours.y
+                .Project` instance or dict with compatible
+                properties
+            show
+                Determines whether or not contour lines about
+                the y dimension are drawn.
+            size
+                Sets the step between each contour level. Must
+                be positive.
+            start
+                Sets the starting contour level value. Must be
+                less than `contours.end`
+            usecolormap
+                An alternate to "color". Determines whether or
+                not the contour lines are colored using the
+                trace "colorscale".
+            width
+                Sets the width of the contour lines.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/_z.py b/packages/python/plotly/plotly/validators/surface/contours/_z.py
new file mode 100644
index 00000000000..d3f5b467c14
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/_z.py
@@ -0,0 +1,49 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="z", parent_name="surface.contours", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Z"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour lines.
+            end
+                Sets the end contour level value. Must be more
+                than `contours.start`
+            highlight
+                Determines whether or not contour lines about
+                the z dimension are highlighted on hover.
+            highlightcolor
+                Sets the color of the highlighted contour
+                lines.
+            highlightwidth
+                Sets the width of the highlighted contour
+                lines.
+            project
+                :class:`plotly.graph_objects.surface.contours.z
+                .Project` instance or dict with compatible
+                properties
+            show
+                Determines whether or not contour lines about
+                the z dimension are drawn.
+            size
+                Sets the step between each contour level. Must
+                be positive.
+            start
+                Sets the starting contour level value. Must be
+                less than `contours.end`
+            usecolormap
+                An alternate to "color". Determines whether or
+                not the contour lines are colored using the
+                trace "colorscale".
+            width
+                Sets the width of the contour lines.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/x/__init__.py
index 8095e8e4427..3b034f3a7ea 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/x/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/__init__.py
@@ -1,189 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="surface.contours.x", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="usecolormap", parent_name="surface.contours.x", **kwargs
-    ):
-        super(UsecolormapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="start", parent_name="surface.contours.x", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="surface.contours.x", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="surface.contours.x", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="project", parent_name="surface.contours.x", **kwargs
-    ):
-        super(ProjectValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Project"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Determines whether or not these contour lines
-                are projected on the x plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-            y
-                Determines whether or not these contour lines
-                are projected on the y plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-            z
-                Determines whether or not these contour lines
-                are projected on the z plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="highlightwidth", parent_name="surface.contours.x", **kwargs
-    ):
-        super(HighlightwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="highlightcolor", parent_name="surface.contours.x", **kwargs
-    ):
-        super(HighlightcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="highlight", parent_name="surface.contours.x", **kwargs
-    ):
-        super(HighlightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="end", parent_name="surface.contours.x", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="surface.contours.x", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._usecolormap import UsecolormapValidator
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._show import ShowValidator
+    from ._project import ProjectValidator
+    from ._highlightwidth import HighlightwidthValidator
+    from ._highlightcolor import HighlightcolorValidator
+    from ._highlight import HighlightValidator
+    from ._end import EndValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._usecolormap.UsecolormapValidator",
+            "._start.StartValidator",
+            "._size.SizeValidator",
+            "._show.ShowValidator",
+            "._project.ProjectValidator",
+            "._highlightwidth.HighlightwidthValidator",
+            "._highlightcolor.HighlightcolorValidator",
+            "._highlight.HighlightValidator",
+            "._end.EndValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_color.py b/packages/python/plotly/plotly/validators/surface/contours/x/_color.py
new file mode 100644
index 00000000000..c8baf9cfa3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="surface.contours.x", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_end.py b/packages/python/plotly/plotly/validators/surface/contours/x/_end.py
new file mode 100644
index 00000000000..dcd0b7ee3b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="end", parent_name="surface.contours.x", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_highlight.py b/packages/python/plotly/plotly/validators/surface/contours/x/_highlight.py
new file mode 100644
index 00000000000..9a67257b3fe
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_highlight.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="highlight", parent_name="surface.contours.x", **kwargs
+    ):
+        super(HighlightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_highlightcolor.py b/packages/python/plotly/plotly/validators/surface/contours/x/_highlightcolor.py
new file mode 100644
index 00000000000..1083008e0da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_highlightcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="highlightcolor", parent_name="surface.contours.x", **kwargs
+    ):
+        super(HighlightcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_highlightwidth.py b/packages/python/plotly/plotly/validators/surface/contours/x/_highlightwidth.py
new file mode 100644
index 00000000000..c51bd642bd2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_highlightwidth.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="highlightwidth", parent_name="surface.contours.x", **kwargs
+    ):
+        super(HighlightwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_project.py b/packages/python/plotly/plotly/validators/surface/contours/x/_project.py
new file mode 100644
index 00000000000..ca1fd706245
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_project.py
@@ -0,0 +1,36 @@
+import _plotly_utils.basevalidators
+
+
+class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="project", parent_name="surface.contours.x", **kwargs
+    ):
+        super(ProjectValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Project"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Determines whether or not these contour lines
+                are projected on the x plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+            y
+                Determines whether or not these contour lines
+                are projected on the y plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+            z
+                Determines whether or not these contour lines
+                are projected on the z plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_show.py b/packages/python/plotly/plotly/validators/surface/contours/x/_show.py
new file mode 100644
index 00000000000..569dc2e233c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="surface.contours.x", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_size.py b/packages/python/plotly/plotly/validators/surface/contours/x/_size.py
new file mode 100644
index 00000000000..8832528c3a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="surface.contours.x", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_start.py b/packages/python/plotly/plotly/validators/surface/contours/x/_start.py
new file mode 100644
index 00000000000..d43132f5ca9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="start", parent_name="surface.contours.x", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_usecolormap.py b/packages/python/plotly/plotly/validators/surface/contours/x/_usecolormap.py
new file mode 100644
index 00000000000..f10638ec64c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_usecolormap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="usecolormap", parent_name="surface.contours.x", **kwargs
+    ):
+        super(UsecolormapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/_width.py b/packages/python/plotly/plotly/validators/surface/contours/x/_width.py
new file mode 100644
index 00000000000..e1be33c641c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="surface.contours.x", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/project/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/x/project/__init__.py
index 8dba021dc17..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/x/project/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/project/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="surface.contours.x.project", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="surface.contours.x.project", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="surface.contours.x.project", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/project/_x.py b/packages/python/plotly/plotly/validators/surface/contours/x/project/_x.py
new file mode 100644
index 00000000000..e11d764b431
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/project/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="surface.contours.x.project", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/project/_y.py b/packages/python/plotly/plotly/validators/surface/contours/x/project/_y.py
new file mode 100644
index 00000000000..6610790bb48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/project/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="surface.contours.x.project", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/x/project/_z.py b/packages/python/plotly/plotly/validators/surface/contours/x/project/_z.py
new file mode 100644
index 00000000000..a83205ff006
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/x/project/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="surface.contours.x.project", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/y/__init__.py
index 83d9da39a30..3b034f3a7ea 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/y/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/__init__.py
@@ -1,189 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="surface.contours.y", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="usecolormap", parent_name="surface.contours.y", **kwargs
-    ):
-        super(UsecolormapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="start", parent_name="surface.contours.y", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="surface.contours.y", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="surface.contours.y", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="project", parent_name="surface.contours.y", **kwargs
-    ):
-        super(ProjectValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Project"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Determines whether or not these contour lines
-                are projected on the x plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-            y
-                Determines whether or not these contour lines
-                are projected on the y plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-            z
-                Determines whether or not these contour lines
-                are projected on the z plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="highlightwidth", parent_name="surface.contours.y", **kwargs
-    ):
-        super(HighlightwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="highlightcolor", parent_name="surface.contours.y", **kwargs
-    ):
-        super(HighlightcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="highlight", parent_name="surface.contours.y", **kwargs
-    ):
-        super(HighlightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="end", parent_name="surface.contours.y", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="surface.contours.y", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._usecolormap import UsecolormapValidator
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._show import ShowValidator
+    from ._project import ProjectValidator
+    from ._highlightwidth import HighlightwidthValidator
+    from ._highlightcolor import HighlightcolorValidator
+    from ._highlight import HighlightValidator
+    from ._end import EndValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._usecolormap.UsecolormapValidator",
+            "._start.StartValidator",
+            "._size.SizeValidator",
+            "._show.ShowValidator",
+            "._project.ProjectValidator",
+            "._highlightwidth.HighlightwidthValidator",
+            "._highlightcolor.HighlightcolorValidator",
+            "._highlight.HighlightValidator",
+            "._end.EndValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_color.py b/packages/python/plotly/plotly/validators/surface/contours/y/_color.py
new file mode 100644
index 00000000000..518d73145f6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="surface.contours.y", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_end.py b/packages/python/plotly/plotly/validators/surface/contours/y/_end.py
new file mode 100644
index 00000000000..794b26336ef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="end", parent_name="surface.contours.y", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_highlight.py b/packages/python/plotly/plotly/validators/surface/contours/y/_highlight.py
new file mode 100644
index 00000000000..d980dd3690e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_highlight.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="highlight", parent_name="surface.contours.y", **kwargs
+    ):
+        super(HighlightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_highlightcolor.py b/packages/python/plotly/plotly/validators/surface/contours/y/_highlightcolor.py
new file mode 100644
index 00000000000..1a5686735a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_highlightcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="highlightcolor", parent_name="surface.contours.y", **kwargs
+    ):
+        super(HighlightcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_highlightwidth.py b/packages/python/plotly/plotly/validators/surface/contours/y/_highlightwidth.py
new file mode 100644
index 00000000000..cc213b01042
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_highlightwidth.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="highlightwidth", parent_name="surface.contours.y", **kwargs
+    ):
+        super(HighlightwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_project.py b/packages/python/plotly/plotly/validators/surface/contours/y/_project.py
new file mode 100644
index 00000000000..163d0136293
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_project.py
@@ -0,0 +1,36 @@
+import _plotly_utils.basevalidators
+
+
+class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="project", parent_name="surface.contours.y", **kwargs
+    ):
+        super(ProjectValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Project"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Determines whether or not these contour lines
+                are projected on the x plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+            y
+                Determines whether or not these contour lines
+                are projected on the y plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+            z
+                Determines whether or not these contour lines
+                are projected on the z plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_show.py b/packages/python/plotly/plotly/validators/surface/contours/y/_show.py
new file mode 100644
index 00000000000..512c7dc69df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="surface.contours.y", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_size.py b/packages/python/plotly/plotly/validators/surface/contours/y/_size.py
new file mode 100644
index 00000000000..e39984068c9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="surface.contours.y", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_start.py b/packages/python/plotly/plotly/validators/surface/contours/y/_start.py
new file mode 100644
index 00000000000..2ccbe432d19
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="start", parent_name="surface.contours.y", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_usecolormap.py b/packages/python/plotly/plotly/validators/surface/contours/y/_usecolormap.py
new file mode 100644
index 00000000000..a4456f2165f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_usecolormap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="usecolormap", parent_name="surface.contours.y", **kwargs
+    ):
+        super(UsecolormapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/_width.py b/packages/python/plotly/plotly/validators/surface/contours/y/_width.py
new file mode 100644
index 00000000000..22ace01ae65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="surface.contours.y", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/project/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/y/project/__init__.py
index 31af0d66129..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/y/project/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/project/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="surface.contours.y.project", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="surface.contours.y.project", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="surface.contours.y.project", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/project/_x.py b/packages/python/plotly/plotly/validators/surface/contours/y/project/_x.py
new file mode 100644
index 00000000000..7d23f7ae72e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/project/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="surface.contours.y.project", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/project/_y.py b/packages/python/plotly/plotly/validators/surface/contours/y/project/_y.py
new file mode 100644
index 00000000000..361394f5bad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/project/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="surface.contours.y.project", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/y/project/_z.py b/packages/python/plotly/plotly/validators/surface/contours/y/project/_z.py
new file mode 100644
index 00000000000..bf5f588c19f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/y/project/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="surface.contours.y.project", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/z/__init__.py
index 02b49402124..3b034f3a7ea 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/z/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/__init__.py
@@ -1,189 +1,34 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="surface.contours.z", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="usecolormap", parent_name="surface.contours.z", **kwargs
-    ):
-        super(UsecolormapValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StartValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="start", parent_name="surface.contours.z", **kwargs):
-        super(StartValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="surface.contours.z", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="surface.contours.z", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="project", parent_name="surface.contours.z", **kwargs
-    ):
-        super(ProjectValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Project"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Determines whether or not these contour lines
-                are projected on the x plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-            y
-                Determines whether or not these contour lines
-                are projected on the y plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-            z
-                Determines whether or not these contour lines
-                are projected on the z plane. If `highlight` is
-                set to True (the default), the projected lines
-                are shown on hover. If `show` is set to True,
-                the projected lines are shown in permanence.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="highlightwidth", parent_name="surface.contours.z", **kwargs
-    ):
-        super(HighlightwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="highlightcolor", parent_name="surface.contours.z", **kwargs
-    ):
-        super(HighlightcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="highlight", parent_name="surface.contours.z", **kwargs
-    ):
-        super(HighlightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EndValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="end", parent_name="surface.contours.z", **kwargs):
-        super(EndValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="surface.contours.z", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._usecolormap import UsecolormapValidator
+    from ._start import StartValidator
+    from ._size import SizeValidator
+    from ._show import ShowValidator
+    from ._project import ProjectValidator
+    from ._highlightwidth import HighlightwidthValidator
+    from ._highlightcolor import HighlightcolorValidator
+    from ._highlight import HighlightValidator
+    from ._end import EndValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._usecolormap.UsecolormapValidator",
+            "._start.StartValidator",
+            "._size.SizeValidator",
+            "._show.ShowValidator",
+            "._project.ProjectValidator",
+            "._highlightwidth.HighlightwidthValidator",
+            "._highlightcolor.HighlightcolorValidator",
+            "._highlight.HighlightValidator",
+            "._end.EndValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_color.py b/packages/python/plotly/plotly/validators/surface/contours/z/_color.py
new file mode 100644
index 00000000000..5f29e3422ab
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="surface.contours.z", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_end.py b/packages/python/plotly/plotly/validators/surface/contours/z/_end.py
new file mode 100644
index 00000000000..6df261d4a63
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_end.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class EndValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="end", parent_name="surface.contours.z", **kwargs):
+        super(EndValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_highlight.py b/packages/python/plotly/plotly/validators/surface/contours/z/_highlight.py
new file mode 100644
index 00000000000..77ae97e850f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_highlight.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="highlight", parent_name="surface.contours.z", **kwargs
+    ):
+        super(HighlightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_highlightcolor.py b/packages/python/plotly/plotly/validators/surface/contours/z/_highlightcolor.py
new file mode 100644
index 00000000000..8ddcd9d8c7e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_highlightcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="highlightcolor", parent_name="surface.contours.z", **kwargs
+    ):
+        super(HighlightcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_highlightwidth.py b/packages/python/plotly/plotly/validators/surface/contours/z/_highlightwidth.py
new file mode 100644
index 00000000000..4a1263d3b37
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_highlightwidth.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="highlightwidth", parent_name="surface.contours.z", **kwargs
+    ):
+        super(HighlightwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_project.py b/packages/python/plotly/plotly/validators/surface/contours/z/_project.py
new file mode 100644
index 00000000000..e43e0c84973
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_project.py
@@ -0,0 +1,36 @@
+import _plotly_utils.basevalidators
+
+
+class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="project", parent_name="surface.contours.z", **kwargs
+    ):
+        super(ProjectValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Project"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Determines whether or not these contour lines
+                are projected on the x plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+            y
+                Determines whether or not these contour lines
+                are projected on the y plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+            z
+                Determines whether or not these contour lines
+                are projected on the z plane. If `highlight` is
+                set to True (the default), the projected lines
+                are shown on hover. If `show` is set to True,
+                the projected lines are shown in permanence.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_show.py b/packages/python/plotly/plotly/validators/surface/contours/z/_show.py
new file mode 100644
index 00000000000..d3d43b884f0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="surface.contours.z", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_size.py b/packages/python/plotly/plotly/validators/surface/contours/z/_size.py
new file mode 100644
index 00000000000..07c28349279
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_size.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="surface.contours.z", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_start.py b/packages/python/plotly/plotly/validators/surface/contours/z/_start.py
new file mode 100644
index 00000000000..ce4b601c68b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_start.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class StartValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="start", parent_name="surface.contours.z", **kwargs):
+        super(StartValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_usecolormap.py b/packages/python/plotly/plotly/validators/surface/contours/z/_usecolormap.py
new file mode 100644
index 00000000000..cd412a88831
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_usecolormap.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="usecolormap", parent_name="surface.contours.z", **kwargs
+    ):
+        super(UsecolormapValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/_width.py b/packages/python/plotly/plotly/validators/surface/contours/z/_width.py
new file mode 100644
index 00000000000..c635a193e0d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="surface.contours.z", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/project/__init__.py b/packages/python/plotly/plotly/validators/surface/contours/z/project/__init__.py
index 63dd75fa458..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/surface/contours/z/project/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/project/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="z", parent_name="surface.contours.z.project", **kwargs
-    ):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="surface.contours.z.project", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="surface.contours.z.project", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/project/_x.py b/packages/python/plotly/plotly/validators/surface/contours/z/project/_x.py
new file mode 100644
index 00000000000..3d7c53c978a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/project/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="surface.contours.z.project", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/project/_y.py b/packages/python/plotly/plotly/validators/surface/contours/z/project/_y.py
new file mode 100644
index 00000000000..73df50c23d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/project/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="surface.contours.z.project", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/contours/z/project/_z.py b/packages/python/plotly/plotly/validators/surface/contours/z/project/_z.py
new file mode 100644
index 00000000000..87e95dca6d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/contours/z/project/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="z", parent_name="surface.contours.z.project", **kwargs
+    ):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/__init__.py
index 7c341bfdb18..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/surface/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="surface.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="surface.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="surface.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_align.py
new file mode 100644
index 00000000000..15340407e1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="surface.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..485d10ab22f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..c77a2b6a7ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..6a51afe58b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..0b9a2a788c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..5c5fb3d12cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_font.py
new file mode 100644
index 00000000000..17685a82cf0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="surface.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..b4f7edd4a4b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..297bced212e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="surface.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/__init__.py
index 28e219382e9..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="surface.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="surface.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="surface.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="surface.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="surface.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="surface.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..816987f10ba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="surface.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..04dca959cc8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="surface.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..8d21ce7c65f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="surface.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..13806a74b1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="surface.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..3ead157e55d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="surface.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..bd61b28e196
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="surface.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lighting/__init__.py b/packages/python/plotly/plotly/validators/surface/lighting/__init__.py
index f8efcfa2087..2cfddbe40eb 100644
--- a/packages/python/plotly/plotly/validators/surface/lighting/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/lighting/__init__.py
@@ -1,82 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="specular", parent_name="surface.lighting", **kwargs
-    ):
-        super(SpecularValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="roughness", parent_name="surface.lighting", **kwargs
-    ):
-        super(RoughnessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fresnel", parent_name="surface.lighting", **kwargs):
-        super(FresnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="diffuse", parent_name="surface.lighting", **kwargs):
-        super(DiffuseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ambient", parent_name="surface.lighting", **kwargs):
-        super(AmbientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._specular import SpecularValidator
+    from ._roughness import RoughnessValidator
+    from ._fresnel import FresnelValidator
+    from ._diffuse import DiffuseValidator
+    from ._ambient import AmbientValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._specular.SpecularValidator",
+            "._roughness.RoughnessValidator",
+            "._fresnel.FresnelValidator",
+            "._diffuse.DiffuseValidator",
+            "._ambient.AmbientValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/lighting/_ambient.py b/packages/python/plotly/plotly/validators/surface/lighting/_ambient.py
new file mode 100644
index 00000000000..11aff159615
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lighting/_ambient.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ambient", parent_name="surface.lighting", **kwargs):
+        super(AmbientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lighting/_diffuse.py b/packages/python/plotly/plotly/validators/surface/lighting/_diffuse.py
new file mode 100644
index 00000000000..5a113025616
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lighting/_diffuse.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="diffuse", parent_name="surface.lighting", **kwargs):
+        super(DiffuseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lighting/_fresnel.py b/packages/python/plotly/plotly/validators/surface/lighting/_fresnel.py
new file mode 100644
index 00000000000..7e00b1f1eaa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lighting/_fresnel.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fresnel", parent_name="surface.lighting", **kwargs):
+        super(FresnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lighting/_roughness.py b/packages/python/plotly/plotly/validators/surface/lighting/_roughness.py
new file mode 100644
index 00000000000..05c9a96de2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lighting/_roughness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="roughness", parent_name="surface.lighting", **kwargs
+    ):
+        super(RoughnessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lighting/_specular.py b/packages/python/plotly/plotly/validators/surface/lighting/_specular.py
new file mode 100644
index 00000000000..50cc124bb89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lighting/_specular.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="specular", parent_name="surface.lighting", **kwargs
+    ):
+        super(SpecularValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lightposition/__init__.py b/packages/python/plotly/plotly/validators/surface/lightposition/__init__.py
index 56155f8f912..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/surface/lightposition/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/lightposition/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="z", parent_name="surface.lightposition", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="surface.lightposition", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="surface.lightposition", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/lightposition/_x.py b/packages/python/plotly/plotly/validators/surface/lightposition/_x.py
new file mode 100644
index 00000000000..336514993ae
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lightposition/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="surface.lightposition", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lightposition/_y.py b/packages/python/plotly/plotly/validators/surface/lightposition/_y.py
new file mode 100644
index 00000000000..49f734d3918
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lightposition/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="surface.lightposition", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/lightposition/_z.py b/packages/python/plotly/plotly/validators/surface/lightposition/_z.py
new file mode 100644
index 00000000000..8d6ca7f5982
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/lightposition/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="z", parent_name="surface.lightposition", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/stream/__init__.py b/packages/python/plotly/plotly/validators/surface/stream/__init__.py
index 27e1d4d843b..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/surface/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/surface/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="surface.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="surface.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/surface/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/surface/stream/_maxpoints.py
new file mode 100644
index 00000000000..4c10d9e1ec9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="surface.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/surface/stream/_token.py b/packages/python/plotly/plotly/validators/surface/stream/_token.py
new file mode 100644
index 00000000000..0027adf668e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/surface/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="surface.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/__init__.py b/packages/python/plotly/plotly/validators/table/__init__.py
index c660097a36f..0700e0edc0a 100644
--- a/packages/python/plotly/plotly/validators/table/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/__init__.py
@@ -1,472 +1,54 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="table", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="table", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="table", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="table", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="table", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="table", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="table", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="table", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="table", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="table", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="table", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="table", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeaderValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="header", parent_name="table", **kwargs):
-        super(HeaderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Header"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the `text`
-                within the box. Has an effect only if `text`
-                spans two or more lines (i.e. `text` contains
-                one or more <br> HTML tags) or if an explicit
-                width is set to override the text width.
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            fill
-                :class:`plotly.graph_objects.table.header.Fill`
-                instance or dict with compatible properties
-            font
-                :class:`plotly.graph_objects.table.header.Font`
-                instance or dict with compatible properties
-            format
-                Sets the cell value formatting rule using d3
-                formatting mini-language which is similar to
-                those of Python. See
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            formatsrc
-                Sets the source reference on Chart Studio Cloud
-                for  format .
-            height
-                The height of cells.
-            line
-                :class:`plotly.graph_objects.table.header.Line`
-                instance or dict with compatible properties
-            prefix
-                Prefix for cell values.
-            prefixsrc
-                Sets the source reference on Chart Studio Cloud
-                for  prefix .
-            suffix
-                Suffix for cell values.
-            suffixsrc
-                Sets the source reference on Chart Studio Cloud
-                for  suffix .
-            values
-                Header cell values. `values[m][n]` represents
-                the value of the `n`th point in column `m`,
-                therefore the `values[m]` vector length for all
-                columns must be the same (longer vectors will
-                be truncated). Each value must be a finite
-                number or a string.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="table", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this table trace .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this table trace .
-            x
-                Sets the horizontal domain of this table trace
-                (in plot fraction).
-            y
-                Sets the vertical domain of this table trace
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="table", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="table", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnwidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="columnwidthsrc", parent_name="table", **kwargs):
-        super(ColumnwidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="columnwidth", parent_name="table", **kwargs):
-        super(ColumnwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnordersrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="columnordersrc", parent_name="table", **kwargs):
-        super(ColumnordersrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnorderValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="columnorder", parent_name="table", **kwargs):
-        super(ColumnorderValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CellsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="cells", parent_name="table", **kwargs):
-        super(CellsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Cells"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the `text`
-                within the box. Has an effect only if `text`
-                spans two or more lines (i.e. `text` contains
-                one or more <br> HTML tags) or if an explicit
-                width is set to override the text width.
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            fill
-                :class:`plotly.graph_objects.table.cells.Fill`
-                instance or dict with compatible properties
-            font
-                :class:`plotly.graph_objects.table.cells.Font`
-                instance or dict with compatible properties
-            format
-                Sets the cell value formatting rule using d3
-                formatting mini-language which is similar to
-                those of Python. See
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-            formatsrc
-                Sets the source reference on Chart Studio Cloud
-                for  format .
-            height
-                The height of cells.
-            line
-                :class:`plotly.graph_objects.table.cells.Line`
-                instance or dict with compatible properties
-            prefix
-                Prefix for cell values.
-            prefixsrc
-                Sets the source reference on Chart Studio Cloud
-                for  prefix .
-            suffix
-                Suffix for cell values.
-            suffixsrc
-                Sets the source reference on Chart Studio Cloud
-                for  suffix .
-            values
-                Cell values. `values[m][n]` represents the
-                value of the `n`th point in column `m`,
-                therefore the `values[m]` vector length for all
-                columns must be the same (longer vectors will
-                be truncated). Each value must be a finite
-                number or a string.
-            valuessrc
-                Sets the source reference on Chart Studio Cloud
-                for  values .
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._stream import StreamValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._header import HeaderValidator
+    from ._domain import DomainValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._columnwidthsrc import ColumnwidthsrcValidator
+    from ._columnwidth import ColumnwidthValidator
+    from ._columnordersrc import ColumnordersrcValidator
+    from ._columnorder import ColumnorderValidator
+    from ._cells import CellsValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._stream.StreamValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._header.HeaderValidator",
+            "._domain.DomainValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._columnwidthsrc.ColumnwidthsrcValidator",
+            "._columnwidth.ColumnwidthValidator",
+            "._columnordersrc.ColumnordersrcValidator",
+            "._columnorder.ColumnorderValidator",
+            "._cells.CellsValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/_cells.py b/packages/python/plotly/plotly/validators/table/_cells.py
new file mode 100644
index 00000000000..9e4e8255e34
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_cells.py
@@ -0,0 +1,65 @@
+import _plotly_utils.basevalidators
+
+
+class CellsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="cells", parent_name="table", **kwargs):
+        super(CellsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Cells"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the `text`
+                within the box. Has an effect only if `text`
+                spans two or more lines (i.e. `text` contains
+                one or more <br> HTML tags) or if an explicit
+                width is set to override the text width.
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            fill
+                :class:`plotly.graph_objects.table.cells.Fill`
+                instance or dict with compatible properties
+            font
+                :class:`plotly.graph_objects.table.cells.Font`
+                instance or dict with compatible properties
+            format
+                Sets the cell value formatting rule using d3
+                formatting mini-language which is similar to
+                those of Python. See
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            formatsrc
+                Sets the source reference on Chart Studio Cloud
+                for  format .
+            height
+                The height of cells.
+            line
+                :class:`plotly.graph_objects.table.cells.Line`
+                instance or dict with compatible properties
+            prefix
+                Prefix for cell values.
+            prefixsrc
+                Sets the source reference on Chart Studio Cloud
+                for  prefix .
+            suffix
+                Suffix for cell values.
+            suffixsrc
+                Sets the source reference on Chart Studio Cloud
+                for  suffix .
+            values
+                Cell values. `values[m][n]` represents the
+                value of the `n`th point in column `m`,
+                therefore the `values[m]` vector length for all
+                columns must be the same (longer vectors will
+                be truncated). Each value must be a finite
+                number or a string.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_columnorder.py b/packages/python/plotly/plotly/validators/table/_columnorder.py
new file mode 100644
index 00000000000..1513396b785
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_columnorder.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnorderValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="columnorder", parent_name="table", **kwargs):
+        super(ColumnorderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_columnordersrc.py b/packages/python/plotly/plotly/validators/table/_columnordersrc.py
new file mode 100644
index 00000000000..61fb29eca55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_columnordersrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnordersrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="columnordersrc", parent_name="table", **kwargs):
+        super(ColumnordersrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_columnwidth.py b/packages/python/plotly/plotly/validators/table/_columnwidth.py
new file mode 100644
index 00000000000..9c127731d7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_columnwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="columnwidth", parent_name="table", **kwargs):
+        super(ColumnwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_columnwidthsrc.py b/packages/python/plotly/plotly/validators/table/_columnwidthsrc.py
new file mode 100644
index 00000000000..f00c9d4b377
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_columnwidthsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnwidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="columnwidthsrc", parent_name="table", **kwargs):
+        super(ColumnwidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_customdata.py b/packages/python/plotly/plotly/validators/table/_customdata.py
new file mode 100644
index 00000000000..8fb0b00c963
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="table", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_customdatasrc.py b/packages/python/plotly/plotly/validators/table/_customdatasrc.py
new file mode 100644
index 00000000000..f79d8157a0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="table", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_domain.py b/packages/python/plotly/plotly/validators/table/_domain.py
new file mode 100644
index 00000000000..72d8d042c87
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_domain.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="table", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this table trace .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this table trace .
+            x
+                Sets the horizontal domain of this table trace
+                (in plot fraction).
+            y
+                Sets the vertical domain of this table trace
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_header.py b/packages/python/plotly/plotly/validators/table/_header.py
new file mode 100644
index 00000000000..06cb8ebedef
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_header.py
@@ -0,0 +1,65 @@
+import _plotly_utils.basevalidators
+
+
+class HeaderValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="header", parent_name="table", **kwargs):
+        super(HeaderValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Header"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the `text`
+                within the box. Has an effect only if `text`
+                spans two or more lines (i.e. `text` contains
+                one or more <br> HTML tags) or if an explicit
+                width is set to override the text width.
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            fill
+                :class:`plotly.graph_objects.table.header.Fill`
+                instance or dict with compatible properties
+            font
+                :class:`plotly.graph_objects.table.header.Font`
+                instance or dict with compatible properties
+            format
+                Sets the cell value formatting rule using d3
+                formatting mini-language which is similar to
+                those of Python. See
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+            formatsrc
+                Sets the source reference on Chart Studio Cloud
+                for  format .
+            height
+                The height of cells.
+            line
+                :class:`plotly.graph_objects.table.header.Line`
+                instance or dict with compatible properties
+            prefix
+                Prefix for cell values.
+            prefixsrc
+                Sets the source reference on Chart Studio Cloud
+                for  prefix .
+            suffix
+                Suffix for cell values.
+            suffixsrc
+                Sets the source reference on Chart Studio Cloud
+                for  suffix .
+            values
+                Header cell values. `values[m][n]` represents
+                the value of the `n`th point in column `m`,
+                therefore the `values[m]` vector length for all
+                columns must be the same (longer vectors will
+                be truncated). Each value must be a finite
+                number or a string.
+            valuessrc
+                Sets the source reference on Chart Studio Cloud
+                for  values .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_hoverinfo.py b/packages/python/plotly/plotly/validators/table/_hoverinfo.py
new file mode 100644
index 00000000000..1d763580f65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="table", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/table/_hoverinfosrc.py
new file mode 100644
index 00000000000..7ee723c08d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="table", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_hoverlabel.py b/packages/python/plotly/plotly/validators/table/_hoverlabel.py
new file mode 100644
index 00000000000..c19bb805688
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="table", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_ids.py b/packages/python/plotly/plotly/validators/table/_ids.py
new file mode 100644
index 00000000000..f3b6a4dca57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="table", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_idssrc.py b/packages/python/plotly/plotly/validators/table/_idssrc.py
new file mode 100644
index 00000000000..d23056bcb18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="table", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_meta.py b/packages/python/plotly/plotly/validators/table/_meta.py
new file mode 100644
index 00000000000..f92b07c07cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="table", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_metasrc.py b/packages/python/plotly/plotly/validators/table/_metasrc.py
new file mode 100644
index 00000000000..bf6aef58bb0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="table", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_name.py b/packages/python/plotly/plotly/validators/table/_name.py
new file mode 100644
index 00000000000..d64a488569e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="table", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_stream.py b/packages/python/plotly/plotly/validators/table/_stream.py
new file mode 100644
index 00000000000..0cac34a0e40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="table", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_uid.py b/packages/python/plotly/plotly/validators/table/_uid.py
new file mode 100644
index 00000000000..55354df9c0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="table", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_uirevision.py b/packages/python/plotly/plotly/validators/table/_uirevision.py
new file mode 100644
index 00000000000..1ccb73dfbce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="table", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/_visible.py b/packages/python/plotly/plotly/validators/table/_visible.py
new file mode 100644
index 00000000000..103c2157d1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="table", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/__init__.py b/packages/python/plotly/plotly/validators/table/cells/__init__.py
index b3455495b27..71c2f54af9a 100644
--- a/packages/python/plotly/plotly/validators/table/cells/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/cells/__init__.py
@@ -1,257 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuessrc", parent_name="table.cells", **kwargs):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="table.cells", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SuffixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="suffixsrc", parent_name="table.cells", **kwargs):
-        super(SuffixsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="suffix", parent_name="table.cells", **kwargs):
-        super(SuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PrefixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="prefixsrc", parent_name="table.cells", **kwargs):
-        super(PrefixsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="prefix", parent_name="table.cells", **kwargs):
-        super(PrefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="table.cells", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="height", parent_name="table.cells", **kwargs):
-        super(HeightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FormatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="formatsrc", parent_name="table.cells", **kwargs):
-        super(FormatsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FormatValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="format", parent_name="table.cells", **kwargs):
-        super(FormatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="table.cells", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="fill", parent_name="table.cells", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Fill"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the cell fill color. It accepts either a
-                specific color or an array of colors or a 2D
-                array of colors.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="table.cells", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="table.cells", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._suffixsrc import SuffixsrcValidator
+    from ._suffix import SuffixValidator
+    from ._prefixsrc import PrefixsrcValidator
+    from ._prefix import PrefixValidator
+    from ._line import LineValidator
+    from ._height import HeightValidator
+    from ._formatsrc import FormatsrcValidator
+    from ._format import FormatValidator
+    from ._font import FontValidator
+    from ._fill import FillValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._suffixsrc.SuffixsrcValidator",
+            "._suffix.SuffixValidator",
+            "._prefixsrc.PrefixsrcValidator",
+            "._prefix.PrefixValidator",
+            "._line.LineValidator",
+            "._height.HeightValidator",
+            "._formatsrc.FormatsrcValidator",
+            "._format.FormatValidator",
+            "._font.FontValidator",
+            "._fill.FillValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_align.py b/packages/python/plotly/plotly/validators/table/cells/_align.py
new file mode 100644
index 00000000000..5b4dcff86c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="table.cells", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_alignsrc.py b/packages/python/plotly/plotly/validators/table/cells/_alignsrc.py
new file mode 100644
index 00000000000..8d48ed15788
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="table.cells", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_fill.py b/packages/python/plotly/plotly/validators/table/cells/_fill.py
new file mode 100644
index 00000000000..114c2cd5090
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_fill.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="fill", parent_name="table.cells", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Fill"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the cell fill color. It accepts either a
+                specific color or an array of colors or a 2D
+                array of colors.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_font.py b/packages/python/plotly/plotly/validators/table/cells/_font.py
new file mode 100644
index 00000000000..4392bdedf91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="table.cells", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_format.py b/packages/python/plotly/plotly/validators/table/cells/_format.py
new file mode 100644
index 00000000000..1fac8d2fe8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_format.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FormatValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="format", parent_name="table.cells", **kwargs):
+        super(FormatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_formatsrc.py b/packages/python/plotly/plotly/validators/table/cells/_formatsrc.py
new file mode 100644
index 00000000000..378d137f531
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_formatsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FormatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="formatsrc", parent_name="table.cells", **kwargs):
+        super(FormatsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_height.py b/packages/python/plotly/plotly/validators/table/cells/_height.py
new file mode 100644
index 00000000000..bd4e9947250
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_height.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="height", parent_name="table.cells", **kwargs):
+        super(HeightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_line.py b/packages/python/plotly/plotly/validators/table/cells/_line.py
new file mode 100644
index 00000000000..398b223bc68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_line.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="table.cells", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_prefix.py b/packages/python/plotly/plotly/validators/table/cells/_prefix.py
new file mode 100644
index 00000000000..90b39b4ae5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_prefix.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="prefix", parent_name="table.cells", **kwargs):
+        super(PrefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_prefixsrc.py b/packages/python/plotly/plotly/validators/table/cells/_prefixsrc.py
new file mode 100644
index 00000000000..7b90642dc41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_prefixsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PrefixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="prefixsrc", parent_name="table.cells", **kwargs):
+        super(PrefixsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_suffix.py b/packages/python/plotly/plotly/validators/table/cells/_suffix.py
new file mode 100644
index 00000000000..25eedac281c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_suffix.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="suffix", parent_name="table.cells", **kwargs):
+        super(SuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_suffixsrc.py b/packages/python/plotly/plotly/validators/table/cells/_suffixsrc.py
new file mode 100644
index 00000000000..d122ec73ea9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_suffixsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SuffixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="suffixsrc", parent_name="table.cells", **kwargs):
+        super(SuffixsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_values.py b/packages/python/plotly/plotly/validators/table/cells/_values.py
new file mode 100644
index 00000000000..8ff2cc6c490
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="table.cells", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/_valuessrc.py b/packages/python/plotly/plotly/validators/table/cells/_valuessrc.py
new file mode 100644
index 00000000000..d73618db123
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/_valuessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuessrc", parent_name="table.cells", **kwargs):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/fill/__init__.py b/packages/python/plotly/plotly/validators/table/cells/fill/__init__.py
index 4c0e105afed..bdc564f8f76 100644
--- a/packages/python/plotly/plotly/validators/table/cells/fill/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/cells/fill/__init__.py
@@ -1,29 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.cells.fill", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="table.cells.fill", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._colorsrc.ColorsrcValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/table/cells/fill/_color.py b/packages/python/plotly/plotly/validators/table/cells/fill/_color.py
new file mode 100644
index 00000000000..424ae23246a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/fill/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="table.cells.fill", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/fill/_colorsrc.py b/packages/python/plotly/plotly/validators/table/cells/fill/_colorsrc.py
new file mode 100644
index 00000000000..4e0074f475d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/fill/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.cells.fill", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/__init__.py b/packages/python/plotly/plotly/validators/table/cells/font/__init__.py
index 468a8a0d48d..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/table/cells/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/cells/font/__init__.py
@@ -1,92 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="table.cells.font", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="table.cells.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="table.cells.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="table.cells.font", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.cells.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="table.cells.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/_color.py b/packages/python/plotly/plotly/validators/table/cells/font/_color.py
new file mode 100644
index 00000000000..5192456fd6e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/font/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="table.cells.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/_colorsrc.py b/packages/python/plotly/plotly/validators/table/cells/font/_colorsrc.py
new file mode 100644
index 00000000000..d8aa96d12e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.cells.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/_family.py b/packages/python/plotly/plotly/validators/table/cells/font/_family.py
new file mode 100644
index 00000000000..817f58b00f5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/font/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="table.cells.font", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/_familysrc.py b/packages/python/plotly/plotly/validators/table/cells/font/_familysrc.py
new file mode 100644
index 00000000000..691390d5a9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="table.cells.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/_size.py b/packages/python/plotly/plotly/validators/table/cells/font/_size.py
new file mode 100644
index 00000000000..59bd62a1d44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/font/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="table.cells.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/font/_sizesrc.py b/packages/python/plotly/plotly/validators/table/cells/font/_sizesrc.py
new file mode 100644
index 00000000000..79f32639a7a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/font/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="table.cells.font", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/line/__init__.py b/packages/python/plotly/plotly/validators/table/cells/line/__init__.py
index 8438a1511c2..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/table/cells/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/cells/line/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="table.cells.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="table.cells.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.cells.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="table.cells.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/cells/line/_color.py b/packages/python/plotly/plotly/validators/table/cells/line/_color.py
new file mode 100644
index 00000000000..101c3f4fd9e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="table.cells.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/line/_colorsrc.py b/packages/python/plotly/plotly/validators/table/cells/line/_colorsrc.py
new file mode 100644
index 00000000000..fb7549ac0cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.cells.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/line/_width.py b/packages/python/plotly/plotly/validators/table/cells/line/_width.py
new file mode 100644
index 00000000000..66c8561864b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="table.cells.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/cells/line/_widthsrc.py b/packages/python/plotly/plotly/validators/table/cells/line/_widthsrc.py
new file mode 100644
index 00000000000..89cf4c421b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/cells/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="table.cells.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/domain/__init__.py b/packages/python/plotly/plotly/validators/table/domain/__init__.py
index 957a9d90e91..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/table/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="table.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="table.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="table.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="table.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/domain/_column.py b/packages/python/plotly/plotly/validators/table/domain/_column.py
new file mode 100644
index 00000000000..c3bba4fd904
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="table.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/domain/_row.py b/packages/python/plotly/plotly/validators/table/domain/_row.py
new file mode 100644
index 00000000000..afc3c40b75f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="table.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/domain/_x.py b/packages/python/plotly/plotly/validators/table/domain/_x.py
new file mode 100644
index 00000000000..2891bb56b22
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="table.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/domain/_y.py b/packages/python/plotly/plotly/validators/table/domain/_y.py
new file mode 100644
index 00000000000..8ec0db81a4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="table.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/__init__.py b/packages/python/plotly/plotly/validators/table/header/__init__.py
index ad3362e2372..71c2f54af9a 100644
--- a/packages/python/plotly/plotly/validators/table/header/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/header/__init__.py
@@ -1,257 +1,40 @@
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuessrc", parent_name="table.header", **kwargs):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="table.header", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SuffixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="suffixsrc", parent_name="table.header", **kwargs):
-        super(SuffixsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="suffix", parent_name="table.header", **kwargs):
-        super(SuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PrefixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="prefixsrc", parent_name="table.header", **kwargs):
-        super(PrefixsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="prefix", parent_name="table.header", **kwargs):
-        super(PrefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="table.header", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="height", parent_name="table.header", **kwargs):
-        super(HeightValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FormatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="formatsrc", parent_name="table.header", **kwargs):
-        super(FormatsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FormatValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="format", parent_name="table.header", **kwargs):
-        super(FormatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="table.header", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="fill", parent_name="table.header", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Fill"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the cell fill color. It accepts either a
-                specific color or an array of colors or a 2D
-                array of colors.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="alignsrc", parent_name="table.header", **kwargs):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="table.header", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._suffixsrc import SuffixsrcValidator
+    from ._suffix import SuffixValidator
+    from ._prefixsrc import PrefixsrcValidator
+    from ._prefix import PrefixValidator
+    from ._line import LineValidator
+    from ._height import HeightValidator
+    from ._formatsrc import FormatsrcValidator
+    from ._format import FormatValidator
+    from ._font import FontValidator
+    from ._fill import FillValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._suffixsrc.SuffixsrcValidator",
+            "._suffix.SuffixValidator",
+            "._prefixsrc.PrefixsrcValidator",
+            "._prefix.PrefixValidator",
+            "._line.LineValidator",
+            "._height.HeightValidator",
+            "._formatsrc.FormatsrcValidator",
+            "._format.FormatValidator",
+            "._font.FontValidator",
+            "._fill.FillValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/header/_align.py b/packages/python/plotly/plotly/validators/table/header/_align.py
new file mode 100644
index 00000000000..e1e4b683b29
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="table.header", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_alignsrc.py b/packages/python/plotly/plotly/validators/table/header/_alignsrc.py
new file mode 100644
index 00000000000..3c17006c204
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_alignsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="alignsrc", parent_name="table.header", **kwargs):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_fill.py b/packages/python/plotly/plotly/validators/table/header/_fill.py
new file mode 100644
index 00000000000..dae8a9886c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_fill.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="fill", parent_name="table.header", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Fill"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the cell fill color. It accepts either a
+                specific color or an array of colors or a 2D
+                array of colors.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_font.py b/packages/python/plotly/plotly/validators/table/header/_font.py
new file mode 100644
index 00000000000..d57e4c054db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="table.header", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_format.py b/packages/python/plotly/plotly/validators/table/header/_format.py
new file mode 100644
index 00000000000..6bac729bcd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_format.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FormatValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="format", parent_name="table.header", **kwargs):
+        super(FormatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_formatsrc.py b/packages/python/plotly/plotly/validators/table/header/_formatsrc.py
new file mode 100644
index 00000000000..267141d5a41
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_formatsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FormatsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="formatsrc", parent_name="table.header", **kwargs):
+        super(FormatsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_height.py b/packages/python/plotly/plotly/validators/table/header/_height.py
new file mode 100644
index 00000000000..30395df63d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_height.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="height", parent_name="table.header", **kwargs):
+        super(HeightValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_line.py b/packages/python/plotly/plotly/validators/table/header/_line.py
new file mode 100644
index 00000000000..fb3fc9fe63a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_line.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="table.header", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_prefix.py b/packages/python/plotly/plotly/validators/table/header/_prefix.py
new file mode 100644
index 00000000000..cabfb435411
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_prefix.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class PrefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="prefix", parent_name="table.header", **kwargs):
+        super(PrefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_prefixsrc.py b/packages/python/plotly/plotly/validators/table/header/_prefixsrc.py
new file mode 100644
index 00000000000..f8ee922b250
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_prefixsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class PrefixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="prefixsrc", parent_name="table.header", **kwargs):
+        super(PrefixsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_suffix.py b/packages/python/plotly/plotly/validators/table/header/_suffix.py
new file mode 100644
index 00000000000..ebfd5ae00c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_suffix.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="suffix", parent_name="table.header", **kwargs):
+        super(SuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_suffixsrc.py b/packages/python/plotly/plotly/validators/table/header/_suffixsrc.py
new file mode 100644
index 00000000000..8680819fd7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_suffixsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SuffixsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="suffixsrc", parent_name="table.header", **kwargs):
+        super(SuffixsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_values.py b/packages/python/plotly/plotly/validators/table/header/_values.py
new file mode 100644
index 00000000000..3e6a0646165
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="table.header", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/_valuessrc.py b/packages/python/plotly/plotly/validators/table/header/_valuessrc.py
new file mode 100644
index 00000000000..0910acd5a48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/_valuessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuessrc", parent_name="table.header", **kwargs):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/fill/__init__.py b/packages/python/plotly/plotly/validators/table/header/fill/__init__.py
index cca8adc469c..bdc564f8f76 100644
--- a/packages/python/plotly/plotly/validators/table/header/fill/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/header/fill/__init__.py
@@ -1,29 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.header.fill", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="table.header.fill", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._colorsrc.ColorsrcValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/table/header/fill/_color.py b/packages/python/plotly/plotly/validators/table/header/fill/_color.py
new file mode 100644
index 00000000000..71db57225d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/fill/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="table.header.fill", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/fill/_colorsrc.py b/packages/python/plotly/plotly/validators/table/header/fill/_colorsrc.py
new file mode 100644
index 00000000000..f3dafe5742f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/fill/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.header.fill", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/__init__.py b/packages/python/plotly/plotly/validators/table/header/font/__init__.py
index 0da7aac9267..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/table/header/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/header/font/__init__.py
@@ -1,94 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="table.header.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="table.header.font", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="table.header.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="table.header.font", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.header.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="table.header.font", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/_color.py b/packages/python/plotly/plotly/validators/table/header/font/_color.py
new file mode 100644
index 00000000000..4ee6340efc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/font/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="table.header.font", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/_colorsrc.py b/packages/python/plotly/plotly/validators/table/header/font/_colorsrc.py
new file mode 100644
index 00000000000..734dad3d9d7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.header.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/_family.py b/packages/python/plotly/plotly/validators/table/header/font/_family.py
new file mode 100644
index 00000000000..38240120da6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/font/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="table.header.font", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/_familysrc.py b/packages/python/plotly/plotly/validators/table/header/font/_familysrc.py
new file mode 100644
index 00000000000..d004f6dcb1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="table.header.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/_size.py b/packages/python/plotly/plotly/validators/table/header/font/_size.py
new file mode 100644
index 00000000000..1ba0851d03e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/font/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="table.header.font", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/font/_sizesrc.py b/packages/python/plotly/plotly/validators/table/header/font/_sizesrc.py
new file mode 100644
index 00000000000..396f8d07d9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="table.header.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/line/__init__.py b/packages/python/plotly/plotly/validators/table/header/line/__init__.py
index 5d514a14b19..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/table/header/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/header/line/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="table.header.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="table.header.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.header.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="table.header.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/header/line/_color.py b/packages/python/plotly/plotly/validators/table/header/line/_color.py
new file mode 100644
index 00000000000..8ddf6a7a17f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="table.header.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/line/_colorsrc.py b/packages/python/plotly/plotly/validators/table/header/line/_colorsrc.py
new file mode 100644
index 00000000000..311044837dc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.header.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/line/_width.py b/packages/python/plotly/plotly/validators/table/header/line/_width.py
new file mode 100644
index 00000000000..0eced168fb1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="table.header.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/header/line/_widthsrc.py b/packages/python/plotly/plotly/validators/table/header/line/_widthsrc.py
new file mode 100644
index 00000000000..2c4aaea36c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/header/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="table.header.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/table/hoverlabel/__init__.py
index 76a11468082..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/table/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/__init__.py
@@ -1,176 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="table.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="table.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="table.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="table.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="table.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="table.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="table.hoverlabel", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="table.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="table.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_align.py
new file mode 100644
index 00000000000..4b1c31642ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="table.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..60c4ab4c779
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="table.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..c9076d869b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_bgcolor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="table.hoverlabel", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..8a8ba360ef4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="table.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..1c5d08004ad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="table.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..775c347dcac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="table.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_font.py
new file mode 100644
index 00000000000..d7144271de2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="table.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f3f6075970c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="table.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..237f841b8a2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="table.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/__init__.py
index 68d0378f3e6..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/table/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="table.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="table.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="table.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="table.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="table.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="table.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..d88d4811e15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="table.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..ce864daff9d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="table.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..2308e6d303a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="table.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..5b1cdab1ddc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="table.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..d74de194c2a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="table.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..9eac019337d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="table.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/stream/__init__.py b/packages/python/plotly/plotly/validators/table/stream/__init__.py
index db982f58b67..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/table/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/table/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="table.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="table.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/table/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/table/stream/_maxpoints.py
new file mode 100644
index 00000000000..2d11a18437e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="table.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/table/stream/_token.py b/packages/python/plotly/plotly/validators/table/stream/_token.py
new file mode 100644
index 00000000000..dd775062137
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/table/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="table.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/__init__.py b/packages/python/plotly/plotly/validators/treemap/__init__.py
index 2279698f579..381d386c4aa 100644
--- a/packages/python/plotly/plotly/validators/treemap/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/__init__.py
@@ -1,965 +1,96 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="treemap", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuessrc", parent_name="treemap", **kwargs):
-        super(ValuessrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="values", parent_name="treemap", **kwargs):
-        super(ValuesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="treemap", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="treemap", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TilingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tiling", parent_name="treemap", **kwargs):
-        super(TilingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tiling"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            flip
-                Determines if the positions obtained from
-                solver are flipped on each axis.
-            packing
-                Determines d3 treemap solver. For more info
-                please refer to
-                https://github.com/d3/d3-hierarchy#treemap-
-                tiling
-            pad
-                Sets the inner padding (in px).
-            squarifyratio
-                When using "squarify" `packing` algorithm,
-                according to https://github.com/d3/d3-hierarchy
-                /blob/master/README.md#squarify_ratio this
-                option specifies the desired aspect ratio of
-                the generated rectangles. The ratio must be
-                specified as a number greater than or equal to
-                one. Note that the orientation of the generated
-                rectangles (tall or wide) is not implied by the
-                ratio; for example, a ratio of two will attempt
-                to produce a mixture of rectangles whose
-                width:height ratio is either 2:1 or 1:2. When
-                using "squarify", unlike d3 which uses the
-                Golden Ratio i.e. 1.618034, Plotly applies 1 to
-                increase squares in treemap layouts.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="texttemplatesrc", parent_name="treemap", **kwargs):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="treemap", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="treemap", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="treemap", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    "top left",
-                    "top center",
-                    "top right",
-                    "middle left",
-                    "middle center",
-                    "middle right",
-                    "bottom left",
-                    "bottom center",
-                    "bottom right",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="textinfo", parent_name="treemap", **kwargs):
-        super(TextinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop(
-                "flags",
-                [
-                    "label",
-                    "text",
-                    "value",
-                    "current path",
-                    "percent root",
-                    "percent entry",
-                    "percent parent",
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="treemap", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="text", parent_name="treemap", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="treemap", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PathbarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pathbar", parent_name="treemap", **kwargs):
-        super(PathbarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pathbar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            edgeshape
-                Determines which shape is used for edges
-                between `barpath` labels.
-            side
-                Determines on which side of the the treemap the
-                `pathbar` should be presented.
-            textfont
-                Sets the font used inside `pathbar`.
-            thickness
-                Sets the thickness of `pathbar` (in px). If not
-                specified the `pathbar.textfont.size` is used
-                with 3 pixles extra padding on each side.
-            visible
-                Determines if the path bar is drawn i.e.
-                outside the trace `domain` and with one pixel
-                gap.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParentssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="parentssrc", parent_name="treemap", **kwargs):
-        super(ParentssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ParentsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="parents", parent_name="treemap", **kwargs):
-        super(ParentsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="outsidetextfont", parent_name="treemap", **kwargs):
-        super(OutsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="treemap", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="treemap", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="treemap", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="treemap", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxdepthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="maxdepth", parent_name="treemap", **kwargs):
-        super(MaxdepthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="treemap", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            autocolorscale
-                Determines whether the colorscale is a default
-                palette (`autocolorscale: true`) or the palette
-                determined by `marker.colorscale`. Has an
-                effect only if colorsis set to a numerical
-                array. In case `colorscale` is unspecified or
-                `autocolorscale` is true, the default  palette
-                will be chosen according to whether numbers in
-                the `color` array are all positive, all
-                negative or mixed.
-            cauto
-                Determines whether or not the color domain is
-                computed with respect to the input data (here
-                colors) or the bounds set in `marker.cmin` and
-                `marker.cmax`  Has an effect only if colorsis
-                set to a numerical array. Defaults to `false`
-                when `marker.cmin` and `marker.cmax` are set by
-                the user.
-            cmax
-                Sets the upper bound of the color domain. Has
-                an effect only if colorsis set to a numerical
-                array. Value should have the same units as
-                colors and if set, `marker.cmin` must be set as
-                well.
-            cmid
-                Sets the mid-point of the color domain by
-                scaling `marker.cmin` and/or `marker.cmax` to
-                be equidistant to this point. Has an effect
-                only if colorsis set to a numerical array.
-                Value should have the same units as colors. Has
-                no effect when `marker.cauto` is `false`.
-            cmin
-                Sets the lower bound of the color domain. Has
-                an effect only if colorsis set to a numerical
-                array. Value should have the same units as
-                colors and if set, `marker.cmax` must be set as
-                well.
-            coloraxis
-                Sets a reference to a shared color axis.
-                References to these shared color axes are
-                "coloraxis", "coloraxis2", "coloraxis3", etc.
-                Settings for these shared color axes are set in
-                the layout, under `layout.coloraxis`,
-                `layout.coloraxis2`, etc. Note that multiple
-                color scales can be linked to the same color
-                axis.
-            colorbar
-                :class:`plotly.graph_objects.treemap.marker.Col
-                orBar` instance or dict with compatible
-                properties
-            colors
-                Sets the color of each sector of this trace. If
-                not specified, the default trace color set is
-                used to pick the sector colors.
-            colorscale
-                Sets the colorscale. Has an effect only if
-                colorsis set to a numerical array. The
-                colorscale must be an array containing arrays
-                mapping a normalized value to an rgb, rgba,
-                hex, hsl, hsv, or named color string. At
-                minimum, a mapping for the lowest (0) and
-                highest (1) values are required. For example,
-                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
-                To control the bounds of the colorscale in
-                color space, use`marker.cmin` and
-                `marker.cmax`. Alternatively, `colorscale` may
-                be a palette name string of the following list:
-                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
-                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
-                arth,Electric,Viridis,Cividis.
-            colorssrc
-                Sets the source reference on Chart Studio Cloud
-                for  colors .
-            depthfade
-                Determines if the sector colors are faded
-                towards the background from the leaves up to
-                the headers. This option is unavailable when a
-                `colorscale` is present, defaults to false when
-                `marker.colors` is set, but otherwise defaults
-                to true. When set to "reversed", the fading
-                direction is inverted, that is the top elements
-                within hierarchy are drawn with fully saturated
-                colors while the leaves are faded towards the
-                background color.
-            line
-                :class:`plotly.graph_objects.treemap.marker.Lin
-                e` instance or dict with compatible properties
-            pad
-                :class:`plotly.graph_objects.treemap.marker.Pad
-                ` instance or dict with compatible properties
-            reversescale
-                Reverses the color mapping if true. Has an
-                effect only if colorsis set to a numerical
-                array. If true, `marker.cmin` will correspond
-                to the last color in the array and
-                `marker.cmax` will correspond to the first
-                color.
-            showscale
-                Determines whether or not a colorbar is
-                displayed for this trace. Has an effect only if
-                colorsis set to a numerical array.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LevelValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="level", parent_name="treemap", **kwargs):
-        super(LevelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="labelssrc", parent_name="treemap", **kwargs):
-        super(LabelssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="labels", parent_name="treemap", **kwargs):
-        super(LabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="insidetextfont", parent_name="treemap", **kwargs):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="treemap", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="treemap", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            anim=kwargs.pop("anim", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="treemap", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="treemap", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="treemap", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="treemap", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="treemap", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="treemap", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="treemap", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop(
-                "flags",
-                [
-                    "label",
-                    "text",
-                    "value",
-                    "name",
-                    "current path",
-                    "percent root",
-                    "percent entry",
-                    "percent parent",
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="domain", parent_name="treemap", **kwargs):
-        super(DomainValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Domain"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            column
-                If there is a layout grid, use the domain for
-                this column in the grid for this treemap trace
-                .
-            row
-                If there is a layout grid, use the domain for
-                this row in the grid for this treemap trace .
-            x
-                Sets the horizontal domain of this treemap
-                trace (in plot fraction).
-            y
-                Sets the vertical domain of this treemap trace
-                (in plot fraction).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="treemap", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="treemap", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="count", parent_name="treemap", **kwargs):
-        super(CountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            flags=kwargs.pop("flags", ["branches", "leaves"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BranchvaluesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="branchvalues", parent_name="treemap", **kwargs):
-        super(BranchvaluesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["remainder", "total"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._valuessrc import ValuessrcValidator
+    from ._values import ValuesValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._tiling import TilingValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textinfo import TextinfoValidator
+    from ._textfont import TextfontValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._pathbar import PathbarValidator
+    from ._parentssrc import ParentssrcValidator
+    from ._parents import ParentsValidator
+    from ._outsidetextfont import OutsidetextfontValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._maxdepth import MaxdepthValidator
+    from ._marker import MarkerValidator
+    from ._level import LevelValidator
+    from ._labelssrc import LabelssrcValidator
+    from ._labels import LabelsValidator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._domain import DomainValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._count import CountValidator
+    from ._branchvalues import BranchvaluesValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._valuessrc.ValuessrcValidator",
+            "._values.ValuesValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._tiling.TilingValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textinfo.TextinfoValidator",
+            "._textfont.TextfontValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._pathbar.PathbarValidator",
+            "._parentssrc.ParentssrcValidator",
+            "._parents.ParentsValidator",
+            "._outsidetextfont.OutsidetextfontValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._maxdepth.MaxdepthValidator",
+            "._marker.MarkerValidator",
+            "._level.LevelValidator",
+            "._labelssrc.LabelssrcValidator",
+            "._labels.LabelsValidator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._domain.DomainValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._count.CountValidator",
+            "._branchvalues.BranchvaluesValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/_branchvalues.py b/packages/python/plotly/plotly/validators/treemap/_branchvalues.py
new file mode 100644
index 00000000000..3c28160b605
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_branchvalues.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BranchvaluesValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="branchvalues", parent_name="treemap", **kwargs):
+        super(BranchvaluesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["remainder", "total"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_count.py b/packages/python/plotly/plotly/validators/treemap/_count.py
new file mode 100644
index 00000000000..8316809893b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_count.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CountValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="count", parent_name="treemap", **kwargs):
+        super(CountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            flags=kwargs.pop("flags", ["branches", "leaves"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_customdata.py b/packages/python/plotly/plotly/validators/treemap/_customdata.py
new file mode 100644
index 00000000000..ed8bd10e95a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="treemap", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_customdatasrc.py b/packages/python/plotly/plotly/validators/treemap/_customdatasrc.py
new file mode 100644
index 00000000000..81b3f576132
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="treemap", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_domain.py b/packages/python/plotly/plotly/validators/treemap/_domain.py
new file mode 100644
index 00000000000..2b797aa53b3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_domain.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="domain", parent_name="treemap", **kwargs):
+        super(DomainValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Domain"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            column
+                If there is a layout grid, use the domain for
+                this column in the grid for this treemap trace
+                .
+            row
+                If there is a layout grid, use the domain for
+                this row in the grid for this treemap trace .
+            x
+                Sets the horizontal domain of this treemap
+                trace (in plot fraction).
+            y
+                Sets the vertical domain of this treemap trace
+                (in plot fraction).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hoverinfo.py b/packages/python/plotly/plotly/validators/treemap/_hoverinfo.py
new file mode 100644
index 00000000000..b8abb9888bf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hoverinfo.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="treemap", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop(
+                "flags",
+                [
+                    "label",
+                    "text",
+                    "value",
+                    "name",
+                    "current path",
+                    "percent root",
+                    "percent entry",
+                    "percent parent",
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/treemap/_hoverinfosrc.py
new file mode 100644
index 00000000000..2a675063dcd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="treemap", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hoverlabel.py b/packages/python/plotly/plotly/validators/treemap/_hoverlabel.py
new file mode 100644
index 00000000000..9620552b47e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="treemap", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hovertemplate.py b/packages/python/plotly/plotly/validators/treemap/_hovertemplate.py
new file mode 100644
index 00000000000..f80ad75f8a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="treemap", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/treemap/_hovertemplatesrc.py
new file mode 100644
index 00000000000..20ae211eefb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="treemap", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hovertext.py b/packages/python/plotly/plotly/validators/treemap/_hovertext.py
new file mode 100644
index 00000000000..1f8d76eb3c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="treemap", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_hovertextsrc.py b/packages/python/plotly/plotly/validators/treemap/_hovertextsrc.py
new file mode 100644
index 00000000000..d3e914977f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="treemap", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_ids.py b/packages/python/plotly/plotly/validators/treemap/_ids.py
new file mode 100644
index 00000000000..106581ecc1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_ids.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="treemap", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_idssrc.py b/packages/python/plotly/plotly/validators/treemap/_idssrc.py
new file mode 100644
index 00000000000..382d1d1455f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="treemap", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_insidetextfont.py b/packages/python/plotly/plotly/validators/treemap/_insidetextfont.py
new file mode 100644
index 00000000000..46defc987c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_insidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="insidetextfont", parent_name="treemap", **kwargs):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_labels.py b/packages/python/plotly/plotly/validators/treemap/_labels.py
new file mode 100644
index 00000000000..fe4aa378264
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_labels.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="labels", parent_name="treemap", **kwargs):
+        super(LabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_labelssrc.py b/packages/python/plotly/plotly/validators/treemap/_labelssrc.py
new file mode 100644
index 00000000000..2158146ed75
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_labelssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="labelssrc", parent_name="treemap", **kwargs):
+        super(LabelssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_level.py b/packages/python/plotly/plotly/validators/treemap/_level.py
new file mode 100644
index 00000000000..99b6360e74a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_level.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LevelValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="level", parent_name="treemap", **kwargs):
+        super(LevelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_marker.py b/packages/python/plotly/plotly/validators/treemap/_marker.py
new file mode 100644
index 00000000000..bdbef4a2e0c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_marker.py
@@ -0,0 +1,117 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="treemap", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            autocolorscale
+                Determines whether the colorscale is a default
+                palette (`autocolorscale: true`) or the palette
+                determined by `marker.colorscale`. Has an
+                effect only if colorsis set to a numerical
+                array. In case `colorscale` is unspecified or
+                `autocolorscale` is true, the default  palette
+                will be chosen according to whether numbers in
+                the `color` array are all positive, all
+                negative or mixed.
+            cauto
+                Determines whether or not the color domain is
+                computed with respect to the input data (here
+                colors) or the bounds set in `marker.cmin` and
+                `marker.cmax`  Has an effect only if colorsis
+                set to a numerical array. Defaults to `false`
+                when `marker.cmin` and `marker.cmax` are set by
+                the user.
+            cmax
+                Sets the upper bound of the color domain. Has
+                an effect only if colorsis set to a numerical
+                array. Value should have the same units as
+                colors and if set, `marker.cmin` must be set as
+                well.
+            cmid
+                Sets the mid-point of the color domain by
+                scaling `marker.cmin` and/or `marker.cmax` to
+                be equidistant to this point. Has an effect
+                only if colorsis set to a numerical array.
+                Value should have the same units as colors. Has
+                no effect when `marker.cauto` is `false`.
+            cmin
+                Sets the lower bound of the color domain. Has
+                an effect only if colorsis set to a numerical
+                array. Value should have the same units as
+                colors and if set, `marker.cmax` must be set as
+                well.
+            coloraxis
+                Sets a reference to a shared color axis.
+                References to these shared color axes are
+                "coloraxis", "coloraxis2", "coloraxis3", etc.
+                Settings for these shared color axes are set in
+                the layout, under `layout.coloraxis`,
+                `layout.coloraxis2`, etc. Note that multiple
+                color scales can be linked to the same color
+                axis.
+            colorbar
+                :class:`plotly.graph_objects.treemap.marker.Col
+                orBar` instance or dict with compatible
+                properties
+            colors
+                Sets the color of each sector of this trace. If
+                not specified, the default trace color set is
+                used to pick the sector colors.
+            colorscale
+                Sets the colorscale. Has an effect only if
+                colorsis set to a numerical array. The
+                colorscale must be an array containing arrays
+                mapping a normalized value to an rgb, rgba,
+                hex, hsl, hsv, or named color string. At
+                minimum, a mapping for the lowest (0) and
+                highest (1) values are required. For example,
+                `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
+                To control the bounds of the colorscale in
+                color space, use`marker.cmin` and
+                `marker.cmax`. Alternatively, `colorscale` may
+                be a palette name string of the following list:
+                Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
+                ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
+                arth,Electric,Viridis,Cividis.
+            colorssrc
+                Sets the source reference on Chart Studio Cloud
+                for  colors .
+            depthfade
+                Determines if the sector colors are faded
+                towards the background from the leaves up to
+                the headers. This option is unavailable when a
+                `colorscale` is present, defaults to false when
+                `marker.colors` is set, but otherwise defaults
+                to true. When set to "reversed", the fading
+                direction is inverted, that is the top elements
+                within hierarchy are drawn with fully saturated
+                colors while the leaves are faded towards the
+                background color.
+            line
+                :class:`plotly.graph_objects.treemap.marker.Lin
+                e` instance or dict with compatible properties
+            pad
+                :class:`plotly.graph_objects.treemap.marker.Pad
+                ` instance or dict with compatible properties
+            reversescale
+                Reverses the color mapping if true. Has an
+                effect only if colorsis set to a numerical
+                array. If true, `marker.cmin` will correspond
+                to the last color in the array and
+                `marker.cmax` will correspond to the first
+                color.
+            showscale
+                Determines whether or not a colorbar is
+                displayed for this trace. Has an effect only if
+                colorsis set to a numerical array.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_maxdepth.py b/packages/python/plotly/plotly/validators/treemap/_maxdepth.py
new file mode 100644
index 00000000000..fdaedfc376f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_maxdepth.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MaxdepthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="maxdepth", parent_name="treemap", **kwargs):
+        super(MaxdepthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_meta.py b/packages/python/plotly/plotly/validators/treemap/_meta.py
new file mode 100644
index 00000000000..c20d8c0ffb4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="treemap", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_metasrc.py b/packages/python/plotly/plotly/validators/treemap/_metasrc.py
new file mode 100644
index 00000000000..629f9452c57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="treemap", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_name.py b/packages/python/plotly/plotly/validators/treemap/_name.py
new file mode 100644
index 00000000000..ee34d67764d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="treemap", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_opacity.py b/packages/python/plotly/plotly/validators/treemap/_opacity.py
new file mode 100644
index 00000000000..e99a3aa463a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="treemap", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_outsidetextfont.py b/packages/python/plotly/plotly/validators/treemap/_outsidetextfont.py
new file mode 100644
index 00000000000..983077ff729
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_outsidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="outsidetextfont", parent_name="treemap", **kwargs):
+        super(OutsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_parents.py b/packages/python/plotly/plotly/validators/treemap/_parents.py
new file mode 100644
index 00000000000..a8b58d6a5ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_parents.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ParentsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="parents", parent_name="treemap", **kwargs):
+        super(ParentsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_parentssrc.py b/packages/python/plotly/plotly/validators/treemap/_parentssrc.py
new file mode 100644
index 00000000000..a14f3acc17b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_parentssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ParentssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="parentssrc", parent_name="treemap", **kwargs):
+        super(ParentssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_pathbar.py b/packages/python/plotly/plotly/validators/treemap/_pathbar.py
new file mode 100644
index 00000000000..15748e4b427
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_pathbar.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class PathbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pathbar", parent_name="treemap", **kwargs):
+        super(PathbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pathbar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            edgeshape
+                Determines which shape is used for edges
+                between `barpath` labels.
+            side
+                Determines on which side of the the treemap the
+                `pathbar` should be presented.
+            textfont
+                Sets the font used inside `pathbar`.
+            thickness
+                Sets the thickness of `pathbar` (in px). If not
+                specified the `pathbar.textfont.size` is used
+                with 3 pixles extra padding on each side.
+            visible
+                Determines if the path bar is drawn i.e.
+                outside the trace `domain` and with one pixel
+                gap.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_stream.py b/packages/python/plotly/plotly/validators/treemap/_stream.py
new file mode 100644
index 00000000000..534ed894012
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="treemap", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_text.py b/packages/python/plotly/plotly/validators/treemap/_text.py
new file mode 100644
index 00000000000..9c289c8b3cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_text.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="text", parent_name="treemap", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_textfont.py b/packages/python/plotly/plotly/validators/treemap/_textfont.py
new file mode 100644
index 00000000000..b446e296726
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="treemap", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_textinfo.py b/packages/python/plotly/plotly/validators/treemap/_textinfo.py
new file mode 100644
index 00000000000..629111bfaf8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_textinfo.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="textinfo", parent_name="treemap", **kwargs):
+        super(TextinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop(
+                "flags",
+                [
+                    "label",
+                    "text",
+                    "value",
+                    "current path",
+                    "percent root",
+                    "percent entry",
+                    "percent parent",
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_textposition.py b/packages/python/plotly/plotly/validators/treemap/_textposition.py
new file mode 100644
index 00000000000..d269d2a60f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_textposition.py
@@ -0,0 +1,26 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="treemap", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    "top left",
+                    "top center",
+                    "top right",
+                    "middle left",
+                    "middle center",
+                    "middle right",
+                    "bottom left",
+                    "bottom center",
+                    "bottom right",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_textsrc.py b/packages/python/plotly/plotly/validators/treemap/_textsrc.py
new file mode 100644
index 00000000000..3a77df3239a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="treemap", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_texttemplate.py b/packages/python/plotly/plotly/validators/treemap/_texttemplate.py
new file mode 100644
index 00000000000..7928d0c6dd5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="treemap", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/treemap/_texttemplatesrc.py
new file mode 100644
index 00000000000..f936417c6e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_texttemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="texttemplatesrc", parent_name="treemap", **kwargs):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_tiling.py b/packages/python/plotly/plotly/validators/treemap/_tiling.py
new file mode 100644
index 00000000000..070521f3d18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_tiling.py
@@ -0,0 +1,41 @@
+import _plotly_utils.basevalidators
+
+
+class TilingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tiling", parent_name="treemap", **kwargs):
+        super(TilingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tiling"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            flip
+                Determines if the positions obtained from
+                solver are flipped on each axis.
+            packing
+                Determines d3 treemap solver. For more info
+                please refer to
+                https://github.com/d3/d3-hierarchy#treemap-
+                tiling
+            pad
+                Sets the inner padding (in px).
+            squarifyratio
+                When using "squarify" `packing` algorithm,
+                according to https://github.com/d3/d3-hierarchy
+                /blob/master/README.md#squarify_ratio this
+                option specifies the desired aspect ratio of
+                the generated rectangles. The ratio must be
+                specified as a number greater than or equal to
+                one. Note that the orientation of the generated
+                rectangles (tall or wide) is not implied by the
+                ratio; for example, a ratio of two will attempt
+                to produce a mixture of rectangles whose
+                width:height ratio is either 2:1 or 1:2. When
+                using "squarify", unlike d3 which uses the
+                Golden Ratio i.e. 1.618034, Plotly applies 1 to
+                increase squares in treemap layouts.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_uid.py b/packages/python/plotly/plotly/validators/treemap/_uid.py
new file mode 100644
index 00000000000..d30a9451157
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_uid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="treemap", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            anim=kwargs.pop("anim", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_uirevision.py b/packages/python/plotly/plotly/validators/treemap/_uirevision.py
new file mode 100644
index 00000000000..bbea721600c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="treemap", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_values.py b/packages/python/plotly/plotly/validators/treemap/_values.py
new file mode 100644
index 00000000000..6a151484afd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_values.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="values", parent_name="treemap", **kwargs):
+        super(ValuesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_valuessrc.py b/packages/python/plotly/plotly/validators/treemap/_valuessrc.py
new file mode 100644
index 00000000000..2af1970f92e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_valuessrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuessrc", parent_name="treemap", **kwargs):
+        super(ValuessrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/_visible.py b/packages/python/plotly/plotly/validators/treemap/_visible.py
new file mode 100644
index 00000000000..33a6f019282
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="treemap", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/domain/__init__.py b/packages/python/plotly/plotly/validators/treemap/domain/__init__.py
index 3a7aced7e7a..ea6b5d05d34 100644
--- a/packages/python/plotly/plotly/validators/treemap/domain/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/domain/__init__.py
@@ -1,70 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="treemap.domain", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="treemap.domain", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="row", parent_name="treemap.domain", **kwargs):
-        super(RowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="column", parent_name="treemap.domain", **kwargs):
-        super(ColumnValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._y import YValidator
+    from ._x import XValidator
+    from ._row import RowValidator
+    from ._column import ColumnValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._y.YValidator",
+            "._x.XValidator",
+            "._row.RowValidator",
+            "._column.ColumnValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/domain/_column.py b/packages/python/plotly/plotly/validators/treemap/domain/_column.py
new file mode 100644
index 00000000000..adfe4c9ad6b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/domain/_column.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="column", parent_name="treemap.domain", **kwargs):
+        super(ColumnValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/domain/_row.py b/packages/python/plotly/plotly/validators/treemap/domain/_row.py
new file mode 100644
index 00000000000..bc65ba16d49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/domain/_row.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="row", parent_name="treemap.domain", **kwargs):
+        super(RowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/domain/_x.py b/packages/python/plotly/plotly/validators/treemap/domain/_x.py
new file mode 100644
index 00000000000..687387f5c68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/domain/_x.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="treemap.domain", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/domain/_y.py b/packages/python/plotly/plotly/validators/treemap/domain/_y.py
new file mode 100644
index 00000000000..132f4688f46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/domain/_y.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="treemap.domain", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                    {"valType": "number", "min": 0, "max": 1, "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/__init__.py
index f15a26e7f09..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/treemap/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="treemap.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="treemap.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="treemap.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_align.py
new file mode 100644
index 00000000000..74f4eb51d98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="treemap.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..c433ba60b2e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..2d854b52bac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..1acf667a07b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..3139fa62d44
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..d63439f08e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_font.py
new file mode 100644
index 00000000000..5207544b67f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="treemap.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..07c0d6ffd27
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3eb246bbc7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="treemap.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/__init__.py
index de1195a10aa..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="treemap.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="treemap.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="treemap.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="treemap.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="treemap.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="treemap.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..159dac2137c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="treemap.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..0ddf7341021
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="treemap.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..59dbc7c1577
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="treemap.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..2ba47948e13
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="treemap.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..eaccf364023
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="treemap.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..892475314ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="treemap.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/__init__.py
index 550b1b2b75c..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/treemap/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="treemap.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="treemap.insidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="treemap.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="treemap.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="treemap.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="treemap.insidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_color.py
new file mode 100644
index 00000000000..d054901abea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="treemap.insidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..7f61b10ea30
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="treemap.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_family.py
new file mode 100644
index 00000000000..700931bb221
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="treemap.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..6ce3bd8188e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="treemap.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_size.py
new file mode 100644
index 00000000000..9146d025a86
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="treemap.insidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..3d96ea168dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="treemap.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/__init__.py
index 090f77e96d6..a5b36cf49de 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/__init__.py
@@ -1,467 +1,42 @@
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="treemap.marker", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="reversescale", parent_name="treemap.marker", **kwargs
-    ):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="pad", parent_name="treemap.marker", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Pad"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            b
-                Sets the padding form the bottom (in px).
-            l
-                Sets the padding form the left (in px).
-            r
-                Sets the padding form the right (in px).
-            t
-                Sets the padding form the top (in px).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="treemap.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the line enclosing each
-                sector. Defaults to the `paper_bgcolor` value.
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            width
-                Sets the width (in px) of the line enclosing
-                each sector.
-            widthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  width .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DepthfadeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="depthfade", parent_name="treemap.marker", **kwargs):
-        super(DepthfadeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [True, False, "reversed"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="colorssrc", parent_name="treemap.marker", **kwargs):
-        super(ColorssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(
-        self, plotly_name="colorscale", parent_name="treemap.marker", **kwargs
-    ):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="colors", parent_name="treemap.marker", **kwargs):
-        super(ColorsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="treemap.marker", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.treemap
-                .marker.colorbar.Tickformatstop` instances or
-                dicts with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.treemap.marker.colorbar.tickformatstopdefault
-                s), sets the default property values to use for
-                elements of
-                treemap.marker.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.treemap.marker.col
-                orbar.Title` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                treemap.marker.colorbar.title.font instead.
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                treemap.marker.colorbar.title.side instead.
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="treemap.marker", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="treemap.marker", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="treemap.marker", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="treemap.marker", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="treemap.marker", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="autocolorscale", parent_name="treemap.marker", **kwargs
-    ):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._showscale import ShowscaleValidator
+    from ._reversescale import ReversescaleValidator
+    from ._pad import PadValidator
+    from ._line import LineValidator
+    from ._depthfade import DepthfadeValidator
+    from ._colorssrc import ColorssrcValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colors import ColorsValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._showscale.ShowscaleValidator",
+            "._reversescale.ReversescaleValidator",
+            "._pad.PadValidator",
+            "._line.LineValidator",
+            "._depthfade.DepthfadeValidator",
+            "._colorssrc.ColorssrcValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colors.ColorsValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_autocolorscale.py b/packages/python/plotly/plotly/validators/treemap/marker/_autocolorscale.py
new file mode 100644
index 00000000000..da4fc6cb31d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_autocolorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="autocolorscale", parent_name="treemap.marker", **kwargs
+    ):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_cauto.py b/packages/python/plotly/plotly/validators/treemap/marker/_cauto.py
new file mode 100644
index 00000000000..2993c81ae26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="treemap.marker", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_cmax.py b/packages/python/plotly/plotly/validators/treemap/marker/_cmax.py
new file mode 100644
index 00000000000..012501cf492
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="treemap.marker", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_cmid.py b/packages/python/plotly/plotly/validators/treemap/marker/_cmid.py
new file mode 100644
index 00000000000..205a038c756
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="treemap.marker", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_cmin.py b/packages/python/plotly/plotly/validators/treemap/marker/_cmin.py
new file mode 100644
index 00000000000..fe64db0605a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="treemap.marker", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_coloraxis.py b/packages/python/plotly/plotly/validators/treemap/marker/_coloraxis.py
new file mode 100644
index 00000000000..f37235975c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="treemap.marker", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_colorbar.py b/packages/python/plotly/plotly/validators/treemap/marker/_colorbar.py
new file mode 100644
index 00000000000..9e42fcef747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_colorbar.py
@@ -0,0 +1,228 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="treemap.marker", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.treemap
+                .marker.colorbar.Tickformatstop` instances or
+                dicts with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.treemap.marker.colorbar.tickformatstopdefault
+                s), sets the default property values to use for
+                elements of
+                treemap.marker.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.treemap.marker.col
+                orbar.Title` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                treemap.marker.colorbar.title.font instead.
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                treemap.marker.colorbar.title.side instead.
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_colors.py b/packages/python/plotly/plotly/validators/treemap/marker/_colors.py
new file mode 100644
index 00000000000..a0340fc5955
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_colors.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="colors", parent_name="treemap.marker", **kwargs):
+        super(ColorsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_colorscale.py b/packages/python/plotly/plotly/validators/treemap/marker/_colorscale.py
new file mode 100644
index 00000000000..32c8569c9cf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_colorscale.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(
+        self, plotly_name="colorscale", parent_name="treemap.marker", **kwargs
+    ):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_colorssrc.py b/packages/python/plotly/plotly/validators/treemap/marker/_colorssrc.py
new file mode 100644
index 00000000000..da1cc477a53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_colorssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="colorssrc", parent_name="treemap.marker", **kwargs):
+        super(ColorssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_depthfade.py b/packages/python/plotly/plotly/validators/treemap/marker/_depthfade.py
new file mode 100644
index 00000000000..1be66727233
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_depthfade.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DepthfadeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="depthfade", parent_name="treemap.marker", **kwargs):
+        super(DepthfadeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [True, False, "reversed"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_line.py b/packages/python/plotly/plotly/validators/treemap/marker/_line.py
new file mode 100644
index 00000000000..5ca6700d561
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_line.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="treemap.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the line enclosing each
+                sector. Defaults to the `paper_bgcolor` value.
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            width
+                Sets the width (in px) of the line enclosing
+                each sector.
+            widthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  width .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_pad.py b/packages/python/plotly/plotly/validators/treemap/marker/_pad.py
new file mode 100644
index 00000000000..a382f2fa660
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_pad.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="pad", parent_name="treemap.marker", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Pad"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            b
+                Sets the padding form the bottom (in px).
+            l
+                Sets the padding form the left (in px).
+            r
+                Sets the padding form the right (in px).
+            t
+                Sets the padding form the top (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_reversescale.py b/packages/python/plotly/plotly/validators/treemap/marker/_reversescale.py
new file mode 100644
index 00000000000..04881aabd06
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_reversescale.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="reversescale", parent_name="treemap.marker", **kwargs
+    ):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/_showscale.py b/packages/python/plotly/plotly/validators/treemap/marker/_showscale.py
new file mode 100644
index 00000000000..b2736ecfa1b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="treemap.marker", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/__init__.py
index 45297153705..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/__init__.py
@@ -1,798 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ypad", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="yanchor", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="y", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="xpad", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="xanchor", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="x", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(
-        self, plotly_name="title", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="tickvals", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="ticktext", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="ticks", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="tickmode", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="ticklen", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstops",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="tickfont", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="tick0", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="thicknessmode",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showticksuffix",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showtickprefix",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="showticklabels",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="showexponent",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="separatethousands",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="outlinewidth",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="outlinecolor",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="nticks", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="lenmode", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="len", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self,
-        plotly_name="exponentformat",
-        parent_name="treemap.marker.colorbar",
-        **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(
-        self, plotly_name="dtick", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="treemap.marker.colorbar", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..ebe0107dbfc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_bgcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..4a37c994c48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..b90a661ee89
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_dtick.py
new file mode 100644
index 00000000000..a6739479fa3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_dtick.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="dtick", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..681e4af5b46
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_exponentformat.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="exponentformat",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_len.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_len.py
new file mode 100644
index 00000000000..c3e7f078e81
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_len.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="len", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_lenmode.py
new file mode 100644
index 00000000000..d23ea18c9e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_lenmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="lenmode", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_nticks.py
new file mode 100644
index 00000000000..cd3dc7bd455
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_nticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="nticks", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..27285cffb18
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_outlinecolor.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="outlinecolor",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..88c2ac04dcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_outlinewidth.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="outlinewidth",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..482c33cc484
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_separatethousands.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="separatethousands",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showexponent.py
new file mode 100644
index 00000000000..0d2acb3bc9b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showexponent.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showexponent",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..3b73f6ea6ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showticklabels.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="showticklabels",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..a054679fff8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showtickprefix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showtickprefix",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..75679cfa70f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_showticksuffix.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="showticksuffix",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_thickness.py
new file mode 100644
index 00000000000..4939c98089a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..57bca4885ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_thicknessmode.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self,
+        plotly_name="thicknessmode",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tick0.py
new file mode 100644
index 00000000000..77bab9191d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tick0.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(
+        self, plotly_name="tick0", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickangle.py
new file mode 100644
index 00000000000..4dbe36ab75e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..5ad8eefc0cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickfont.py
new file mode 100644
index 00000000000..48f776b7efa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickfont.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="tickfont", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformat.py
new file mode 100644
index 00000000000..eaabf1060b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..4d49e1eb350
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..c3abddbed40
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickformatstops.py
@@ -0,0 +1,54 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstops",
+        parent_name="treemap.marker.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticklen.py
new file mode 100644
index 00000000000..3fc6f20b92e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticklen.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ticklen", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickmode.py
new file mode 100644
index 00000000000..636e210d6af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickmode.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="tickmode", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..fc07458f491
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticks.py
new file mode 100644
index 00000000000..3ba0f396ec9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticks.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="ticks", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..1576a2cb777
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticktext.py
new file mode 100644
index 00000000000..e578ff51cc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticktext.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="ticktext", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..867731040c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickvals.py
new file mode 100644
index 00000000000..9991b07ddc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickvals.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="tickvals", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..8c9881cdc8f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..b788c989e92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_title.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_title.py
new file mode 100644
index 00000000000..2ae332d7305
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_title.py
@@ -0,0 +1,33 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(
+        self, plotly_name="title", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_x.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_x.py
new file mode 100644
index 00000000000..00edc7a2747
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_x.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="x", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_xanchor.py
new file mode 100644
index 00000000000..84ea50a23d1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_xanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="xanchor", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_xpad.py
new file mode 100644
index 00000000000..517073db269
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_xpad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="xpad", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_y.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_y.py
new file mode 100644
index 00000000000..08436fa4483
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_y.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="y", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_yanchor.py
new file mode 100644
index 00000000000..3e9320dc292
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_yanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="yanchor", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ypad.py
new file mode 100644
index 00000000000..1aa1ae02cc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/_ypad.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="ypad", parent_name="treemap.marker.colorbar", **kwargs
+    ):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/__init__.py
index 81c4d38938c..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="treemap.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="treemap.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="treemap.marker.colorbar.tickfont",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..8935bf084a1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="treemap.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..ff275fb16e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="treemap.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..13c1a8106b7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickfont/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="treemap.marker.colorbar.tickfont",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/__init__.py
index c008221a001..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/__init__.py
@@ -1,100 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="treemap.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="treemap.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="name",
-        parent_name="treemap.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="treemap.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="treemap.marker.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "colorbars"},
-                    {"valType": "any", "editType": "colorbars"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..bf751fa530b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="treemap.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "colorbars"},
+                    {"valType": "any", "editType": "colorbars"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..8be52282182
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="treemap.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..35bf0bbde56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_name.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="name",
+        parent_name="treemap.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..c58ba29c503
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="treemap.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..f38f84ce83e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="treemap.marker.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/__init__.py
index 0d1815a0cd6..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="treemap.marker.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="treemap.marker.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="treemap.marker.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_font.py
new file mode 100644
index 00000000000..4820dd34ee3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="treemap.marker.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_side.py
new file mode 100644
index 00000000000..d47fb2792aa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="treemap.marker.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_text.py
new file mode 100644
index 00000000000..6413ddf878f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="treemap.marker.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/__init__.py
index 43a934cf6e9..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/__init__.py
@@ -1,58 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="size",
-        parent_name="treemap.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="family",
-        parent_name="treemap.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="treemap.marker.colorbar.title.font",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "colorbars"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..1ae891dea0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_color.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="treemap.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..1b3cd517d3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_family.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="family",
+        parent_name="treemap.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..1e652ebb6f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/colorbar/title/font/_size.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="size",
+        parent_name="treemap.marker.colorbar.title.font",
+        **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "colorbars"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/line/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/line/__init__.py
index bb32fda977a..15461c0b5de 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/line/__init__.py
@@ -1,65 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="widthsrc", parent_name="treemap.marker.line", **kwargs
-    ):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="treemap.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="treemap.marker.line", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="treemap.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/line/_color.py b/packages/python/plotly/plotly/validators/treemap/marker/line/_color.py
new file mode 100644
index 00000000000..c2c1cfe48bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/line/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="treemap.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/line/_colorsrc.py b/packages/python/plotly/plotly/validators/treemap/marker/line/_colorsrc.py
new file mode 100644
index 00000000000..97ec5dd0514
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/line/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="treemap.marker.line", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/line/_width.py b/packages/python/plotly/plotly/validators/treemap/marker/line/_width.py
new file mode 100644
index 00000000000..8cb9b07da1e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="treemap.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/line/_widthsrc.py b/packages/python/plotly/plotly/validators/treemap/marker/line/_widthsrc.py
new file mode 100644
index 00000000000..c80c8aa6218
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/line/_widthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="widthsrc", parent_name="treemap.marker.line", **kwargs
+    ):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/pad/__init__.py b/packages/python/plotly/plotly/validators/treemap/marker/pad/__init__.py
index d0300723e69..7770792ed8c 100644
--- a/packages/python/plotly/plotly/validators/treemap/marker/pad/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/marker/pad/__init__.py
@@ -1,58 +1,15 @@
-import _plotly_utils.basevalidators
-
-
-class TValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="t", parent_name="treemap.marker.pad", **kwargs):
-        super(TValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="r", parent_name="treemap.marker.pad", **kwargs):
-        super(RValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="l", parent_name="treemap.marker.pad", **kwargs):
-        super(LValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="b", parent_name="treemap.marker.pad", **kwargs):
-        super(BValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._t import TValidator
+    from ._r import RValidator
+    from ._l import LValidator
+    from ._b import BValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._t.TValidator", "._r.RValidator", "._l.LValidator", "._b.BValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/pad/_b.py b/packages/python/plotly/plotly/validators/treemap/marker/pad/_b.py
new file mode 100644
index 00000000000..44764ae74be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/pad/_b.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="b", parent_name="treemap.marker.pad", **kwargs):
+        super(BValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/pad/_l.py b/packages/python/plotly/plotly/validators/treemap/marker/pad/_l.py
new file mode 100644
index 00000000000..748b276a6e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/pad/_l.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="l", parent_name="treemap.marker.pad", **kwargs):
+        super(LValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/pad/_r.py b/packages/python/plotly/plotly/validators/treemap/marker/pad/_r.py
new file mode 100644
index 00000000000..e4a7a5241a9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/pad/_r.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class RValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="r", parent_name="treemap.marker.pad", **kwargs):
+        super(RValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/marker/pad/_t.py b/packages/python/plotly/plotly/validators/treemap/marker/pad/_t.py
new file mode 100644
index 00000000000..4e1edc55f53
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/marker/pad/_t.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="t", parent_name="treemap.marker.pad", **kwargs):
+        super(TValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/__init__.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/__init__.py
index c3ebd07d366..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="treemap.outsidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="treemap.outsidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="treemap.outsidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="treemap.outsidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="treemap.outsidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="treemap.outsidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_color.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_color.py
new file mode 100644
index 00000000000..b4d9e21bb65
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="treemap.outsidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..9cfb7151917
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="treemap.outsidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_family.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_family.py
new file mode 100644
index 00000000000..6268d1f4c4c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="treemap.outsidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_familysrc.py
new file mode 100644
index 00000000000..10dc3f2520f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="treemap.outsidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_size.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_size.py
new file mode 100644
index 00000000000..e67de05613e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="treemap.outsidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..05acc18c4d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="treemap.outsidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/__init__.py b/packages/python/plotly/plotly/validators/treemap/pathbar/__init__.py
index 46af38ebdb1..76ab60d1d99 100644
--- a/packages/python/plotly/plotly/validators/treemap/pathbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/__init__.py
@@ -1,109 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="treemap.pathbar", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="treemap.pathbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 12),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="treemap.pathbar", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="side", parent_name="treemap.pathbar", **kwargs):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EdgeshapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="edgeshape", parent_name="treemap.pathbar", **kwargs
-    ):
-        super(EdgeshapeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", [">", "<", "|", "/", "\\"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._thickness import ThicknessValidator
+    from ._textfont import TextfontValidator
+    from ._side import SideValidator
+    from ._edgeshape import EdgeshapeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._visible.VisibleValidator",
+            "._thickness.ThicknessValidator",
+            "._textfont.TextfontValidator",
+            "._side.SideValidator",
+            "._edgeshape.EdgeshapeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/_edgeshape.py b/packages/python/plotly/plotly/validators/treemap/pathbar/_edgeshape.py
new file mode 100644
index 00000000000..a4f4be5a936
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/_edgeshape.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class EdgeshapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="edgeshape", parent_name="treemap.pathbar", **kwargs
+    ):
+        super(EdgeshapeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", [">", "<", "|", "/", "\\"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/_side.py b/packages/python/plotly/plotly/validators/treemap/pathbar/_side.py
new file mode 100644
index 00000000000..65da234798c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/_side.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="side", parent_name="treemap.pathbar", **kwargs):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/_textfont.py b/packages/python/plotly/plotly/validators/treemap/pathbar/_textfont.py
new file mode 100644
index 00000000000..e0fdf528b3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="treemap.pathbar", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/_thickness.py b/packages/python/plotly/plotly/validators/treemap/pathbar/_thickness.py
new file mode 100644
index 00000000000..69b26232302
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="treemap.pathbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 12),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/_visible.py b/packages/python/plotly/plotly/validators/treemap/pathbar/_visible.py
new file mode 100644
index 00000000000..d15e7d335f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="treemap.pathbar", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/__init__.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/__init__.py
index c1a2f4aa1db..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="treemap.pathbar.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="treemap.pathbar.textfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="treemap.pathbar.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="treemap.pathbar.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="treemap.pathbar.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="treemap.pathbar.textfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_color.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_color.py
new file mode 100644
index 00000000000..803911bf663
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="treemap.pathbar.textfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_colorsrc.py
new file mode 100644
index 00000000000..264114c6dcd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="treemap.pathbar.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_family.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_family.py
new file mode 100644
index 00000000000..7e1e1f133de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="treemap.pathbar.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_familysrc.py
new file mode 100644
index 00000000000..ea99a6caf1c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="treemap.pathbar.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_size.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_size.py
new file mode 100644
index 00000000000..1f31e900d2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="treemap.pathbar.textfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_sizesrc.py
new file mode 100644
index 00000000000..8a5f2dbcb8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/pathbar/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="treemap.pathbar.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/stream/__init__.py b/packages/python/plotly/plotly/validators/treemap/stream/__init__.py
index 7600084f8ed..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/treemap/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="treemap.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="treemap.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/treemap/stream/_maxpoints.py
new file mode 100644
index 00000000000..24348a256e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="treemap.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/stream/_token.py b/packages/python/plotly/plotly/validators/treemap/stream/_token.py
new file mode 100644
index 00000000000..161c3ae4334
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="treemap.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/__init__.py b/packages/python/plotly/plotly/validators/treemap/textfont/__init__.py
index addb37947b9..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/treemap/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/__init__.py
@@ -1,92 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="sizesrc", parent_name="treemap.textfont", **kwargs):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="treemap.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="treemap.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="family", parent_name="treemap.textfont", **kwargs):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="treemap.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="treemap.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/_color.py b/packages/python/plotly/plotly/validators/treemap/textfont/_color.py
new file mode 100644
index 00000000000..def7f4142b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="treemap.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/treemap/textfont/_colorsrc.py
new file mode 100644
index 00000000000..6202bd0d5bd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="treemap.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/_family.py b/packages/python/plotly/plotly/validators/treemap/textfont/_family.py
new file mode 100644
index 00000000000..9cf80038f64
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/_family.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="family", parent_name="treemap.textfont", **kwargs):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/treemap/textfont/_familysrc.py
new file mode 100644
index 00000000000..c3d10f04bb4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="treemap.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/_size.py b/packages/python/plotly/plotly/validators/treemap/textfont/_size.py
new file mode 100644
index 00000000000..452a113f2a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="treemap.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/treemap/textfont/_sizesrc.py
new file mode 100644
index 00000000000..f0e782f4fba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/textfont/_sizesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="sizesrc", parent_name="treemap.textfont", **kwargs):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/tiling/__init__.py b/packages/python/plotly/plotly/validators/treemap/tiling/__init__.py
index cb7dba4fc0e..31949387a86 100644
--- a/packages/python/plotly/plotly/validators/treemap/tiling/__init__.py
+++ b/packages/python/plotly/plotly/validators/treemap/tiling/__init__.py
@@ -1,63 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class SquarifyratioValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="squarifyratio", parent_name="treemap.tiling", **kwargs
-    ):
-        super(SquarifyratioValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pad", parent_name="treemap.tiling", **kwargs):
-        super(PadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PackingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="packing", parent_name="treemap.tiling", **kwargs):
-        super(PackingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop(
-                "values",
-                ["squarify", "binary", "dice", "slice", "slice-dice", "dice-slice"],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FlipValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="flip", parent_name="treemap.tiling", **kwargs):
-        super(FlipValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            flags=kwargs.pop("flags", ["x", "y"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._squarifyratio import SquarifyratioValidator
+    from ._pad import PadValidator
+    from ._packing import PackingValidator
+    from ._flip import FlipValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._squarifyratio.SquarifyratioValidator",
+            "._pad.PadValidator",
+            "._packing.PackingValidator",
+            "._flip.FlipValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/treemap/tiling/_flip.py b/packages/python/plotly/plotly/validators/treemap/tiling/_flip.py
new file mode 100644
index 00000000000..59dcc857e1a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/tiling/_flip.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class FlipValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="flip", parent_name="treemap.tiling", **kwargs):
+        super(FlipValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            flags=kwargs.pop("flags", ["x", "y"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/tiling/_packing.py b/packages/python/plotly/plotly/validators/treemap/tiling/_packing.py
new file mode 100644
index 00000000000..8d27b02d0b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/tiling/_packing.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class PackingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="packing", parent_name="treemap.tiling", **kwargs):
+        super(PackingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop(
+                "values",
+                ["squarify", "binary", "dice", "slice", "slice-dice", "dice-slice"],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/tiling/_pad.py b/packages/python/plotly/plotly/validators/treemap/tiling/_pad.py
new file mode 100644
index 00000000000..cc2f3c9b54b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/tiling/_pad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class PadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pad", parent_name="treemap.tiling", **kwargs):
+        super(PadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/treemap/tiling/_squarifyratio.py b/packages/python/plotly/plotly/validators/treemap/tiling/_squarifyratio.py
new file mode 100644
index 00000000000..723a9c1a46c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/treemap/tiling/_squarifyratio.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SquarifyratioValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="squarifyratio", parent_name="treemap.tiling", **kwargs
+    ):
+        super(SquarifyratioValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/__init__.py b/packages/python/plotly/plotly/validators/violin/__init__.py
index b883b7bd802..02ed7e31032 100644
--- a/packages/python/plotly/plotly/validators/violin/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/__init__.py
@@ -1,908 +1,118 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="violin", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="violin", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="violin", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="violin", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="violin", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="violin", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="violin", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="violin", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="violin", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="violin", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="unselected", parent_name="violin", **kwargs):
-        super(UnselectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Unselected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.violin.unselected.
-                Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="violin", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="violin", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="violin", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="violin", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="violin", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpanmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="spanmode", parent_name="violin", **kwargs):
-        super(SpanmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["soft", "hard", "manual"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpanValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(self, plotly_name="span", parent_name="violin", **kwargs):
-        super(SpanValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="side", parent_name="violin", **kwargs):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["both", "positive", "negative"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="violin", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="violin", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="selected", parent_name="violin", **kwargs):
-        super(SelectedValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Selected"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.violin.selected.Ma
-                rker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScalemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="scalemode", parent_name="violin", **kwargs):
-        super(ScalemodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["width", "count"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="scalegroup", parent_name="violin", **kwargs):
-        super(ScalegroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PointsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="points", parent_name="violin", **kwargs):
-        super(PointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["all", "outliers", "suspectedoutliers", False]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PointposValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="pointpos", parent_name="violin", **kwargs):
-        super(PointposValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="violin", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="violin", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="offsetgroup", parent_name="violin", **kwargs):
-        super(OffsetgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="violin", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="violin", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="violin", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MeanlineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="meanline", parent_name="violin", **kwargs):
-        super(MeanlineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Meanline"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the mean line color.
-            visible
-                Determines if a line corresponding to the
-                sample's mean is shown inside the violins. If
-                `box.visible` is turned on, the mean line is
-                drawn inside the inner box. Otherwise, the mean
-                line is drawn from one side of the violin to
-                other.
-            width
-                Sets the mean line width.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="violin", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets themarkercolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.cmin` and `marker.cmax` if set.
-            line
-                :class:`plotly.graph_objects.violin.marker.Line
-                ` instance or dict with compatible properties
-            opacity
-                Sets the marker opacity.
-            outliercolor
-                Sets the color of the outlier sample points.
-            size
-                Sets the marker size (in px).
-            symbol
-                Sets the marker symbol type. Adding 100 is
-                equivalent to appending "-open" to a symbol
-                name. Adding 200 is equivalent to appending
-                "-dot" to a symbol name. Adding 300 is
-                equivalent to appending "-open-dot" or "dot-
-                open" to a symbol name.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="violin", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of line bounding the violin(s).
-            width
-                Sets the width (in px) of line bounding the
-                violin(s).
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="violin", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class JitterValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="jitter", parent_name="violin", **kwargs):
-        super(JitterValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="violin", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="violin", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="violin", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="violin", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="violin", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="violin", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoveron", parent_name="violin", **kwargs):
-        super(HoveronValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            extras=kwargs.pop("extras", ["all"]),
-            flags=kwargs.pop("flags", ["violins", "points", "kde"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="violin", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="violin", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="violin", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="violin", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="violin", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="violin", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BoxValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="box", parent_name="violin", **kwargs):
-        super(BoxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Box"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fillcolor
-                Sets the inner box plot fill color.
-            line
-                :class:`plotly.graph_objects.violin.box.Line`
-                instance or dict with compatible properties
-            visible
-                Determines if an miniature box plot is drawn
-                inside the violins.
-            width
-                Sets the width of the inner box plots relative
-                to the violins' width. For example, with 1, the
-                inner box plots are as wide as the violins.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BandwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="bandwidth", parent_name="violin", **kwargs):
-        super(BandwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="alignmentgroup", parent_name="violin", **kwargs):
-        super(AlignmentgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._unselected import UnselectedValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._spanmode import SpanmodeValidator
+    from ._span import SpanValidator
+    from ._side import SideValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._selected import SelectedValidator
+    from ._scalemode import ScalemodeValidator
+    from ._scalegroup import ScalegroupValidator
+    from ._points import PointsValidator
+    from ._pointpos import PointposValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._offsetgroup import OffsetgroupValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._meanline import MeanlineValidator
+    from ._marker import MarkerValidator
+    from ._line import LineValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._jitter import JitterValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoveron import HoveronValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._fillcolor import FillcolorValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._box import BoxValidator
+    from ._bandwidth import BandwidthValidator
+    from ._alignmentgroup import AlignmentgroupValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._unselected.UnselectedValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._spanmode.SpanmodeValidator",
+            "._span.SpanValidator",
+            "._side.SideValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._selected.SelectedValidator",
+            "._scalemode.ScalemodeValidator",
+            "._scalegroup.ScalegroupValidator",
+            "._points.PointsValidator",
+            "._pointpos.PointposValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._offsetgroup.OffsetgroupValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._meanline.MeanlineValidator",
+            "._marker.MarkerValidator",
+            "._line.LineValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._jitter.JitterValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoveron.HoveronValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._fillcolor.FillcolorValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._box.BoxValidator",
+            "._bandwidth.BandwidthValidator",
+            "._alignmentgroup.AlignmentgroupValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/_alignmentgroup.py b/packages/python/plotly/plotly/validators/violin/_alignmentgroup.py
new file mode 100644
index 00000000000..68ab94b28ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_alignmentgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="alignmentgroup", parent_name="violin", **kwargs):
+        super(AlignmentgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_bandwidth.py b/packages/python/plotly/plotly/validators/violin/_bandwidth.py
new file mode 100644
index 00000000000..3171e915ff6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_bandwidth.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BandwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="bandwidth", parent_name="violin", **kwargs):
+        super(BandwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_box.py b/packages/python/plotly/plotly/validators/violin/_box.py
new file mode 100644
index 00000000000..a211a7c2c9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_box.py
@@ -0,0 +1,28 @@
+import _plotly_utils.basevalidators
+
+
+class BoxValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="box", parent_name="violin", **kwargs):
+        super(BoxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Box"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fillcolor
+                Sets the inner box plot fill color.
+            line
+                :class:`plotly.graph_objects.violin.box.Line`
+                instance or dict with compatible properties
+            visible
+                Determines if an miniature box plot is drawn
+                inside the violins.
+            width
+                Sets the width of the inner box plots relative
+                to the violins' width. For example, with 1, the
+                inner box plots are as wide as the violins.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_customdata.py b/packages/python/plotly/plotly/validators/violin/_customdata.py
new file mode 100644
index 00000000000..4aa991ed0c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="violin", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_customdatasrc.py b/packages/python/plotly/plotly/validators/violin/_customdatasrc.py
new file mode 100644
index 00000000000..0d1ea8d2167
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="violin", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_fillcolor.py b/packages/python/plotly/plotly/validators/violin/_fillcolor.py
new file mode 100644
index 00000000000..0f191685667
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="violin", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hoverinfo.py b/packages/python/plotly/plotly/validators/violin/_hoverinfo.py
new file mode 100644
index 00000000000..3d79d9c9f0f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="violin", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/violin/_hoverinfosrc.py
new file mode 100644
index 00000000000..468da823bf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="violin", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hoverlabel.py b/packages/python/plotly/plotly/validators/violin/_hoverlabel.py
new file mode 100644
index 00000000000..b745a70daac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="violin", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hoveron.py b/packages/python/plotly/plotly/validators/violin/_hoveron.py
new file mode 100644
index 00000000000..fd93d697c43
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hoveron.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HoveronValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoveron", parent_name="violin", **kwargs):
+        super(HoveronValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            extras=kwargs.pop("extras", ["all"]),
+            flags=kwargs.pop("flags", ["violins", "points", "kde"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hovertemplate.py b/packages/python/plotly/plotly/validators/violin/_hovertemplate.py
new file mode 100644
index 00000000000..78d7e7adcea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="violin", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/violin/_hovertemplatesrc.py
new file mode 100644
index 00000000000..09024f29a72
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="violin", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hovertext.py b/packages/python/plotly/plotly/validators/violin/_hovertext.py
new file mode 100644
index 00000000000..eef0db07172
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="violin", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_hovertextsrc.py b/packages/python/plotly/plotly/validators/violin/_hovertextsrc.py
new file mode 100644
index 00000000000..2368eb06bc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="violin", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_ids.py b/packages/python/plotly/plotly/validators/violin/_ids.py
new file mode 100644
index 00000000000..238ba37ac80
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="violin", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_idssrc.py b/packages/python/plotly/plotly/validators/violin/_idssrc.py
new file mode 100644
index 00000000000..0126b543095
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="violin", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_jitter.py b/packages/python/plotly/plotly/validators/violin/_jitter.py
new file mode 100644
index 00000000000..f9d3e5c08a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_jitter.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class JitterValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="jitter", parent_name="violin", **kwargs):
+        super(JitterValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_legendgroup.py b/packages/python/plotly/plotly/validators/violin/_legendgroup.py
new file mode 100644
index 00000000000..29807dd3375
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="violin", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_line.py b/packages/python/plotly/plotly/validators/violin/_line.py
new file mode 100644
index 00000000000..9a25d990eec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_line.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="violin", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of line bounding the violin(s).
+            width
+                Sets the width (in px) of line bounding the
+                violin(s).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_marker.py b/packages/python/plotly/plotly/validators/violin/_marker.py
new file mode 100644
index 00000000000..783e5c4b2db
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_marker.py
@@ -0,0 +1,38 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="violin", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets themarkercolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.cmin` and `marker.cmax` if set.
+            line
+                :class:`plotly.graph_objects.violin.marker.Line
+                ` instance or dict with compatible properties
+            opacity
+                Sets the marker opacity.
+            outliercolor
+                Sets the color of the outlier sample points.
+            size
+                Sets the marker size (in px).
+            symbol
+                Sets the marker symbol type. Adding 100 is
+                equivalent to appending "-open" to a symbol
+                name. Adding 200 is equivalent to appending
+                "-dot" to a symbol name. Adding 300 is
+                equivalent to appending "-open-dot" or "dot-
+                open" to a symbol name.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_meanline.py b/packages/python/plotly/plotly/validators/violin/_meanline.py
new file mode 100644
index 00000000000..68ad65170a0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_meanline.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class MeanlineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="meanline", parent_name="violin", **kwargs):
+        super(MeanlineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Meanline"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the mean line color.
+            visible
+                Determines if a line corresponding to the
+                sample's mean is shown inside the violins. If
+                `box.visible` is turned on, the mean line is
+                drawn inside the inner box. Otherwise, the mean
+                line is drawn from one side of the violin to
+                other.
+            width
+                Sets the mean line width.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_meta.py b/packages/python/plotly/plotly/validators/violin/_meta.py
new file mode 100644
index 00000000000..f03b3be4cac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="violin", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_metasrc.py b/packages/python/plotly/plotly/validators/violin/_metasrc.py
new file mode 100644
index 00000000000..878937fd748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="violin", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_name.py b/packages/python/plotly/plotly/validators/violin/_name.py
new file mode 100644
index 00000000000..92c0bb8566f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="violin", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_offsetgroup.py b/packages/python/plotly/plotly/validators/violin/_offsetgroup.py
new file mode 100644
index 00000000000..6d42068e7d8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_offsetgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="offsetgroup", parent_name="violin", **kwargs):
+        super(OffsetgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_opacity.py b/packages/python/plotly/plotly/validators/violin/_opacity.py
new file mode 100644
index 00000000000..d8adbe852cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="violin", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_orientation.py b/packages/python/plotly/plotly/validators/violin/_orientation.py
new file mode 100644
index 00000000000..b19d61addc1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="violin", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_pointpos.py b/packages/python/plotly/plotly/validators/violin/_pointpos.py
new file mode 100644
index 00000000000..7ba25f96398
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_pointpos.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PointposValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="pointpos", parent_name="violin", **kwargs):
+        super(PointposValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_points.py b/packages/python/plotly/plotly/validators/violin/_points.py
new file mode 100644
index 00000000000..9eb06d1c2b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_points.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class PointsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="points", parent_name="violin", **kwargs):
+        super(PointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["all", "outliers", "suspectedoutliers", False]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_scalegroup.py b/packages/python/plotly/plotly/validators/violin/_scalegroup.py
new file mode 100644
index 00000000000..ba4e3529960
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_scalegroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="scalegroup", parent_name="violin", **kwargs):
+        super(ScalegroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_scalemode.py b/packages/python/plotly/plotly/validators/violin/_scalemode.py
new file mode 100644
index 00000000000..d1c91628069
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_scalemode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ScalemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="scalemode", parent_name="violin", **kwargs):
+        super(ScalemodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["width", "count"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_selected.py b/packages/python/plotly/plotly/validators/violin/_selected.py
new file mode 100644
index 00000000000..342590959d5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_selected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="selected", parent_name="violin", **kwargs):
+        super(SelectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Selected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.violin.selected.Ma
+                rker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_selectedpoints.py b/packages/python/plotly/plotly/validators/violin/_selectedpoints.py
new file mode 100644
index 00000000000..86c17b3a188
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="violin", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_showlegend.py b/packages/python/plotly/plotly/validators/violin/_showlegend.py
new file mode 100644
index 00000000000..edb275414ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="violin", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_side.py b/packages/python/plotly/plotly/validators/violin/_side.py
new file mode 100644
index 00000000000..4e50ba059b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_side.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="side", parent_name="violin", **kwargs):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["both", "positive", "negative"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_span.py b/packages/python/plotly/plotly/validators/violin/_span.py
new file mode 100644
index 00000000000..94c61da88c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_span.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class SpanValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(self, plotly_name="span", parent_name="violin", **kwargs):
+        super(SpanValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_spanmode.py b/packages/python/plotly/plotly/validators/violin/_spanmode.py
new file mode 100644
index 00000000000..7bbad4567b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_spanmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SpanmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="spanmode", parent_name="violin", **kwargs):
+        super(SpanmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["soft", "hard", "manual"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_stream.py b/packages/python/plotly/plotly/validators/violin/_stream.py
new file mode 100644
index 00000000000..7447a7ee227
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="violin", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_text.py b/packages/python/plotly/plotly/validators/violin/_text.py
new file mode 100644
index 00000000000..929f6811cbc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="violin", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_textsrc.py b/packages/python/plotly/plotly/validators/violin/_textsrc.py
new file mode 100644
index 00000000000..9fa561efb00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="violin", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_uid.py b/packages/python/plotly/plotly/validators/violin/_uid.py
new file mode 100644
index 00000000000..ab610a8d542
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="violin", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_uirevision.py b/packages/python/plotly/plotly/validators/violin/_uirevision.py
new file mode 100644
index 00000000000..d2d1419957e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="violin", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_unselected.py b/packages/python/plotly/plotly/validators/violin/_unselected.py
new file mode 100644
index 00000000000..dc8855cc8a4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_unselected.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="unselected", parent_name="violin", **kwargs):
+        super(UnselectedValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Unselected"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.violin.unselected.
+                Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_visible.py b/packages/python/plotly/plotly/validators/violin/_visible.py
new file mode 100644
index 00000000000..97677374290
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="violin", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_width.py b/packages/python/plotly/plotly/validators/violin/_width.py
new file mode 100644
index 00000000000..92ac0b5a129
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="violin", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_x.py b/packages/python/plotly/plotly/validators/violin/_x.py
new file mode 100644
index 00000000000..533f76c40c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="violin", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_x0.py b/packages/python/plotly/plotly/validators/violin/_x0.py
new file mode 100644
index 00000000000..d0165cf6ced
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="violin", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_xaxis.py b/packages/python/plotly/plotly/validators/violin/_xaxis.py
new file mode 100644
index 00000000000..546c9ab3d01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="violin", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_xsrc.py b/packages/python/plotly/plotly/validators/violin/_xsrc.py
new file mode 100644
index 00000000000..bc72cd22d94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="violin", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_y.py b/packages/python/plotly/plotly/validators/violin/_y.py
new file mode 100644
index 00000000000..2908378d0f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="violin", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_y0.py b/packages/python/plotly/plotly/validators/violin/_y0.py
new file mode 100644
index 00000000000..42b267d50c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="violin", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_yaxis.py b/packages/python/plotly/plotly/validators/violin/_yaxis.py
new file mode 100644
index 00000000000..3bf5e76799e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="violin", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/_ysrc.py b/packages/python/plotly/plotly/validators/violin/_ysrc.py
new file mode 100644
index 00000000000..126f76a326b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="violin", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/box/__init__.py b/packages/python/plotly/plotly/validators/violin/box/__init__.py
index 07e9f845985..4024741e169 100644
--- a/packages/python/plotly/plotly/validators/violin/box/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/box/__init__.py
@@ -1,64 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="violin.box", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="violin.box", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="violin.box", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the inner box plot bounding line color.
-            width
-                Sets the inner box plot bounding line width.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="fillcolor", parent_name="violin.box", **kwargs):
-        super(FillcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._line import LineValidator
+    from ._fillcolor import FillcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._line.LineValidator",
+            "._fillcolor.FillcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/box/_fillcolor.py b/packages/python/plotly/plotly/validators/violin/box/_fillcolor.py
new file mode 100644
index 00000000000..8d873cd4297
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/box/_fillcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="fillcolor", parent_name="violin.box", **kwargs):
+        super(FillcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/box/_line.py b/packages/python/plotly/plotly/validators/violin/box/_line.py
new file mode 100644
index 00000000000..615b3abab97
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/box/_line.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="violin.box", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the inner box plot bounding line color.
+            width
+                Sets the inner box plot bounding line width.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/box/_visible.py b/packages/python/plotly/plotly/validators/violin/box/_visible.py
new file mode 100644
index 00000000000..4525cda84c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/box/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="violin.box", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/box/_width.py b/packages/python/plotly/plotly/validators/violin/box/_width.py
new file mode 100644
index 00000000000..a7ad2d75a82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/box/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="violin.box", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/box/line/__init__.py b/packages/python/plotly/plotly/validators/violin/box/line/__init__.py
index 88eefde89cb..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/violin/box/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/box/line/__init__.py
@@ -1,27 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="violin.box.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="violin.box.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/box/line/_color.py b/packages/python/plotly/plotly/validators/violin/box/line/_color.py
new file mode 100644
index 00000000000..13a4e9b89e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/box/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="violin.box.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/box/line/_width.py b/packages/python/plotly/plotly/validators/violin/box/line/_width.py
new file mode 100644
index 00000000000..1b0e398ed49
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/box/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="violin.box.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/__init__.py
index cb854a29646..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/violin/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="violin.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="violin.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="violin.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_align.py
new file mode 100644
index 00000000000..837c21ec492
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="violin.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..c3e069578bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..5deab182efb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..a002f35eb00
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..6f2c926cee9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..1b513782c3a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_font.py
new file mode 100644
index 00000000000..c47018e58b0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="violin.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..da56a2594ca
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..dd0d0e00709
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="violin.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/__init__.py
index 34d27b77a64..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="violin.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="violin.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="violin.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="violin.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="violin.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="violin.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..4cba9bad12d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="violin.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..561dba8a50e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="violin.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..7f4df9be7fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="violin.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..7aa8a85ace9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="violin.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..b6aa113dd2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="violin.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..7fb79439615
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="violin.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/line/__init__.py b/packages/python/plotly/plotly/validators/violin/line/__init__.py
index 8f724e39ec6..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/violin/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/line/__init__.py
@@ -1,27 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="violin.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="violin.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/line/_color.py b/packages/python/plotly/plotly/validators/violin/line/_color.py
new file mode 100644
index 00000000000..3526467d12e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/line/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="violin.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/line/_width.py b/packages/python/plotly/plotly/validators/violin/line/_width.py
new file mode 100644
index 00000000000..53d3c859a58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/line/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="violin.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/__init__.py b/packages/python/plotly/plotly/validators/violin/marker/__init__.py
index cd66db16af9..c79e8fe46e2 100644
--- a/packages/python/plotly/plotly/validators/violin/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/marker/__init__.py
@@ -1,400 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="symbol", parent_name="violin.marker", **kwargs):
-        super(SymbolValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values",
-                [
-                    0,
-                    "circle",
-                    100,
-                    "circle-open",
-                    200,
-                    "circle-dot",
-                    300,
-                    "circle-open-dot",
-                    1,
-                    "square",
-                    101,
-                    "square-open",
-                    201,
-                    "square-dot",
-                    301,
-                    "square-open-dot",
-                    2,
-                    "diamond",
-                    102,
-                    "diamond-open",
-                    202,
-                    "diamond-dot",
-                    302,
-                    "diamond-open-dot",
-                    3,
-                    "cross",
-                    103,
-                    "cross-open",
-                    203,
-                    "cross-dot",
-                    303,
-                    "cross-open-dot",
-                    4,
-                    "x",
-                    104,
-                    "x-open",
-                    204,
-                    "x-dot",
-                    304,
-                    "x-open-dot",
-                    5,
-                    "triangle-up",
-                    105,
-                    "triangle-up-open",
-                    205,
-                    "triangle-up-dot",
-                    305,
-                    "triangle-up-open-dot",
-                    6,
-                    "triangle-down",
-                    106,
-                    "triangle-down-open",
-                    206,
-                    "triangle-down-dot",
-                    306,
-                    "triangle-down-open-dot",
-                    7,
-                    "triangle-left",
-                    107,
-                    "triangle-left-open",
-                    207,
-                    "triangle-left-dot",
-                    307,
-                    "triangle-left-open-dot",
-                    8,
-                    "triangle-right",
-                    108,
-                    "triangle-right-open",
-                    208,
-                    "triangle-right-dot",
-                    308,
-                    "triangle-right-open-dot",
-                    9,
-                    "triangle-ne",
-                    109,
-                    "triangle-ne-open",
-                    209,
-                    "triangle-ne-dot",
-                    309,
-                    "triangle-ne-open-dot",
-                    10,
-                    "triangle-se",
-                    110,
-                    "triangle-se-open",
-                    210,
-                    "triangle-se-dot",
-                    310,
-                    "triangle-se-open-dot",
-                    11,
-                    "triangle-sw",
-                    111,
-                    "triangle-sw-open",
-                    211,
-                    "triangle-sw-dot",
-                    311,
-                    "triangle-sw-open-dot",
-                    12,
-                    "triangle-nw",
-                    112,
-                    "triangle-nw-open",
-                    212,
-                    "triangle-nw-dot",
-                    312,
-                    "triangle-nw-open-dot",
-                    13,
-                    "pentagon",
-                    113,
-                    "pentagon-open",
-                    213,
-                    "pentagon-dot",
-                    313,
-                    "pentagon-open-dot",
-                    14,
-                    "hexagon",
-                    114,
-                    "hexagon-open",
-                    214,
-                    "hexagon-dot",
-                    314,
-                    "hexagon-open-dot",
-                    15,
-                    "hexagon2",
-                    115,
-                    "hexagon2-open",
-                    215,
-                    "hexagon2-dot",
-                    315,
-                    "hexagon2-open-dot",
-                    16,
-                    "octagon",
-                    116,
-                    "octagon-open",
-                    216,
-                    "octagon-dot",
-                    316,
-                    "octagon-open-dot",
-                    17,
-                    "star",
-                    117,
-                    "star-open",
-                    217,
-                    "star-dot",
-                    317,
-                    "star-open-dot",
-                    18,
-                    "hexagram",
-                    118,
-                    "hexagram-open",
-                    218,
-                    "hexagram-dot",
-                    318,
-                    "hexagram-open-dot",
-                    19,
-                    "star-triangle-up",
-                    119,
-                    "star-triangle-up-open",
-                    219,
-                    "star-triangle-up-dot",
-                    319,
-                    "star-triangle-up-open-dot",
-                    20,
-                    "star-triangle-down",
-                    120,
-                    "star-triangle-down-open",
-                    220,
-                    "star-triangle-down-dot",
-                    320,
-                    "star-triangle-down-open-dot",
-                    21,
-                    "star-square",
-                    121,
-                    "star-square-open",
-                    221,
-                    "star-square-dot",
-                    321,
-                    "star-square-open-dot",
-                    22,
-                    "star-diamond",
-                    122,
-                    "star-diamond-open",
-                    222,
-                    "star-diamond-dot",
-                    322,
-                    "star-diamond-open-dot",
-                    23,
-                    "diamond-tall",
-                    123,
-                    "diamond-tall-open",
-                    223,
-                    "diamond-tall-dot",
-                    323,
-                    "diamond-tall-open-dot",
-                    24,
-                    "diamond-wide",
-                    124,
-                    "diamond-wide-open",
-                    224,
-                    "diamond-wide-dot",
-                    324,
-                    "diamond-wide-open-dot",
-                    25,
-                    "hourglass",
-                    125,
-                    "hourglass-open",
-                    26,
-                    "bowtie",
-                    126,
-                    "bowtie-open",
-                    27,
-                    "circle-cross",
-                    127,
-                    "circle-cross-open",
-                    28,
-                    "circle-x",
-                    128,
-                    "circle-x-open",
-                    29,
-                    "square-cross",
-                    129,
-                    "square-cross-open",
-                    30,
-                    "square-x",
-                    130,
-                    "square-x-open",
-                    31,
-                    "diamond-cross",
-                    131,
-                    "diamond-cross-open",
-                    32,
-                    "diamond-x",
-                    132,
-                    "diamond-x-open",
-                    33,
-                    "cross-thin",
-                    133,
-                    "cross-thin-open",
-                    34,
-                    "x-thin",
-                    134,
-                    "x-thin-open",
-                    35,
-                    "asterisk",
-                    135,
-                    "asterisk-open",
-                    36,
-                    "hash",
-                    136,
-                    "hash-open",
-                    236,
-                    "hash-dot",
-                    336,
-                    "hash-open-dot",
-                    37,
-                    "y-up",
-                    137,
-                    "y-up-open",
-                    38,
-                    "y-down",
-                    138,
-                    "y-down-open",
-                    39,
-                    "y-left",
-                    139,
-                    "y-left-open",
-                    40,
-                    "y-right",
-                    140,
-                    "y-right-open",
-                    41,
-                    "line-ew",
-                    141,
-                    "line-ew-open",
-                    42,
-                    "line-ns",
-                    142,
-                    "line-ns-open",
-                    43,
-                    "line-ne",
-                    143,
-                    "line-ne-open",
-                    44,
-                    "line-nw",
-                    144,
-                    "line-nw-open",
-                ],
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="violin.marker", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outliercolor", parent_name="violin.marker", **kwargs
-    ):
-        super(OutliercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="violin.marker", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="violin.marker", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets themarker.linecolor. It accepts either a
-                specific color or an array of numbers that are
-                mapped to the colorscale relative to the max
-                and min values of the array or relative to
-                `marker.line.cmin` and `marker.line.cmax` if
-                set.
-            outliercolor
-                Sets the border line color of the outlier
-                sample points. Defaults to marker.color
-            outlierwidth
-                Sets the border line width (in px) of the
-                outlier sample points.
-            width
-                Sets the width (in px) of the lines bounding
-                the marker points.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="violin.marker", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._symbol import SymbolValidator
+    from ._size import SizeValidator
+    from ._outliercolor import OutliercolorValidator
+    from ._opacity import OpacityValidator
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._symbol.SymbolValidator",
+            "._size.SizeValidator",
+            "._outliercolor.OutliercolorValidator",
+            "._opacity.OpacityValidator",
+            "._line.LineValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/_color.py b/packages/python/plotly/plotly/validators/violin/marker/_color.py
new file mode 100644
index 00000000000..c546fcf24e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="violin.marker", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/_line.py b/packages/python/plotly/plotly/validators/violin/marker/_line.py
new file mode 100644
index 00000000000..72b61b6249c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/_line.py
@@ -0,0 +1,32 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="violin.marker", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets themarker.linecolor. It accepts either a
+                specific color or an array of numbers that are
+                mapped to the colorscale relative to the max
+                and min values of the array or relative to
+                `marker.line.cmin` and `marker.line.cmax` if
+                set.
+            outliercolor
+                Sets the border line color of the outlier
+                sample points. Defaults to marker.color
+            outlierwidth
+                Sets the border line width (in px) of the
+                outlier sample points.
+            width
+                Sets the width (in px) of the lines bounding
+                the marker points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/_opacity.py b/packages/python/plotly/plotly/validators/violin/marker/_opacity.py
new file mode 100644
index 00000000000..fc5d5da208e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/_opacity.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="violin.marker", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/_outliercolor.py b/packages/python/plotly/plotly/validators/violin/marker/_outliercolor.py
new file mode 100644
index 00000000000..270336eb44a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/_outliercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outliercolor", parent_name="violin.marker", **kwargs
+    ):
+        super(OutliercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/_size.py b/packages/python/plotly/plotly/validators/violin/marker/_size.py
new file mode 100644
index 00000000000..3cad4f7d166
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="violin.marker", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/_symbol.py b/packages/python/plotly/plotly/validators/violin/marker/_symbol.py
new file mode 100644
index 00000000000..8840fe98c8d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/_symbol.py
@@ -0,0 +1,302 @@
+import _plotly_utils.basevalidators
+
+
+class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="symbol", parent_name="violin.marker", **kwargs):
+        super(SymbolValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values",
+                [
+                    0,
+                    "circle",
+                    100,
+                    "circle-open",
+                    200,
+                    "circle-dot",
+                    300,
+                    "circle-open-dot",
+                    1,
+                    "square",
+                    101,
+                    "square-open",
+                    201,
+                    "square-dot",
+                    301,
+                    "square-open-dot",
+                    2,
+                    "diamond",
+                    102,
+                    "diamond-open",
+                    202,
+                    "diamond-dot",
+                    302,
+                    "diamond-open-dot",
+                    3,
+                    "cross",
+                    103,
+                    "cross-open",
+                    203,
+                    "cross-dot",
+                    303,
+                    "cross-open-dot",
+                    4,
+                    "x",
+                    104,
+                    "x-open",
+                    204,
+                    "x-dot",
+                    304,
+                    "x-open-dot",
+                    5,
+                    "triangle-up",
+                    105,
+                    "triangle-up-open",
+                    205,
+                    "triangle-up-dot",
+                    305,
+                    "triangle-up-open-dot",
+                    6,
+                    "triangle-down",
+                    106,
+                    "triangle-down-open",
+                    206,
+                    "triangle-down-dot",
+                    306,
+                    "triangle-down-open-dot",
+                    7,
+                    "triangle-left",
+                    107,
+                    "triangle-left-open",
+                    207,
+                    "triangle-left-dot",
+                    307,
+                    "triangle-left-open-dot",
+                    8,
+                    "triangle-right",
+                    108,
+                    "triangle-right-open",
+                    208,
+                    "triangle-right-dot",
+                    308,
+                    "triangle-right-open-dot",
+                    9,
+                    "triangle-ne",
+                    109,
+                    "triangle-ne-open",
+                    209,
+                    "triangle-ne-dot",
+                    309,
+                    "triangle-ne-open-dot",
+                    10,
+                    "triangle-se",
+                    110,
+                    "triangle-se-open",
+                    210,
+                    "triangle-se-dot",
+                    310,
+                    "triangle-se-open-dot",
+                    11,
+                    "triangle-sw",
+                    111,
+                    "triangle-sw-open",
+                    211,
+                    "triangle-sw-dot",
+                    311,
+                    "triangle-sw-open-dot",
+                    12,
+                    "triangle-nw",
+                    112,
+                    "triangle-nw-open",
+                    212,
+                    "triangle-nw-dot",
+                    312,
+                    "triangle-nw-open-dot",
+                    13,
+                    "pentagon",
+                    113,
+                    "pentagon-open",
+                    213,
+                    "pentagon-dot",
+                    313,
+                    "pentagon-open-dot",
+                    14,
+                    "hexagon",
+                    114,
+                    "hexagon-open",
+                    214,
+                    "hexagon-dot",
+                    314,
+                    "hexagon-open-dot",
+                    15,
+                    "hexagon2",
+                    115,
+                    "hexagon2-open",
+                    215,
+                    "hexagon2-dot",
+                    315,
+                    "hexagon2-open-dot",
+                    16,
+                    "octagon",
+                    116,
+                    "octagon-open",
+                    216,
+                    "octagon-dot",
+                    316,
+                    "octagon-open-dot",
+                    17,
+                    "star",
+                    117,
+                    "star-open",
+                    217,
+                    "star-dot",
+                    317,
+                    "star-open-dot",
+                    18,
+                    "hexagram",
+                    118,
+                    "hexagram-open",
+                    218,
+                    "hexagram-dot",
+                    318,
+                    "hexagram-open-dot",
+                    19,
+                    "star-triangle-up",
+                    119,
+                    "star-triangle-up-open",
+                    219,
+                    "star-triangle-up-dot",
+                    319,
+                    "star-triangle-up-open-dot",
+                    20,
+                    "star-triangle-down",
+                    120,
+                    "star-triangle-down-open",
+                    220,
+                    "star-triangle-down-dot",
+                    320,
+                    "star-triangle-down-open-dot",
+                    21,
+                    "star-square",
+                    121,
+                    "star-square-open",
+                    221,
+                    "star-square-dot",
+                    321,
+                    "star-square-open-dot",
+                    22,
+                    "star-diamond",
+                    122,
+                    "star-diamond-open",
+                    222,
+                    "star-diamond-dot",
+                    322,
+                    "star-diamond-open-dot",
+                    23,
+                    "diamond-tall",
+                    123,
+                    "diamond-tall-open",
+                    223,
+                    "diamond-tall-dot",
+                    323,
+                    "diamond-tall-open-dot",
+                    24,
+                    "diamond-wide",
+                    124,
+                    "diamond-wide-open",
+                    224,
+                    "diamond-wide-dot",
+                    324,
+                    "diamond-wide-open-dot",
+                    25,
+                    "hourglass",
+                    125,
+                    "hourglass-open",
+                    26,
+                    "bowtie",
+                    126,
+                    "bowtie-open",
+                    27,
+                    "circle-cross",
+                    127,
+                    "circle-cross-open",
+                    28,
+                    "circle-x",
+                    128,
+                    "circle-x-open",
+                    29,
+                    "square-cross",
+                    129,
+                    "square-cross-open",
+                    30,
+                    "square-x",
+                    130,
+                    "square-x-open",
+                    31,
+                    "diamond-cross",
+                    131,
+                    "diamond-cross-open",
+                    32,
+                    "diamond-x",
+                    132,
+                    "diamond-x-open",
+                    33,
+                    "cross-thin",
+                    133,
+                    "cross-thin-open",
+                    34,
+                    "x-thin",
+                    134,
+                    "x-thin-open",
+                    35,
+                    "asterisk",
+                    135,
+                    "asterisk-open",
+                    36,
+                    "hash",
+                    136,
+                    "hash-open",
+                    236,
+                    "hash-dot",
+                    336,
+                    "hash-open-dot",
+                    37,
+                    "y-up",
+                    137,
+                    "y-up-open",
+                    38,
+                    "y-down",
+                    138,
+                    "y-down-open",
+                    39,
+                    "y-left",
+                    139,
+                    "y-left-open",
+                    40,
+                    "y-right",
+                    140,
+                    "y-right-open",
+                    41,
+                    "line-ew",
+                    141,
+                    "line-ew-open",
+                    42,
+                    "line-ns",
+                    142,
+                    "line-ns-open",
+                    43,
+                    "line-ne",
+                    143,
+                    "line-ne-open",
+                    44,
+                    "line-nw",
+                    144,
+                    "line-nw-open",
+                ],
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/line/__init__.py b/packages/python/plotly/plotly/validators/violin/marker/line/__init__.py
index cb172106ef7..f2cb10d010e 100644
--- a/packages/python/plotly/plotly/validators/violin/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/marker/line/__init__.py
@@ -1,62 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="violin.marker.line", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlierwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlierwidth", parent_name="violin.marker.line", **kwargs
-    ):
-        super(OutlierwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outliercolor", parent_name="violin.marker.line", **kwargs
-    ):
-        super(OutliercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="violin.marker.line", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._outlierwidth import OutlierwidthValidator
+    from ._outliercolor import OutliercolorValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._outlierwidth.OutlierwidthValidator",
+            "._outliercolor.OutliercolorValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/line/_color.py b/packages/python/plotly/plotly/validators/violin/marker/line/_color.py
new file mode 100644
index 00000000000..83de24525e7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/line/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="violin.marker.line", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/line/_outliercolor.py b/packages/python/plotly/plotly/validators/violin/marker/line/_outliercolor.py
new file mode 100644
index 00000000000..d2b2cb9dcc5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/line/_outliercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutliercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outliercolor", parent_name="violin.marker.line", **kwargs
+    ):
+        super(OutliercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/line/_outlierwidth.py b/packages/python/plotly/plotly/validators/violin/marker/line/_outlierwidth.py
new file mode 100644
index 00000000000..b9f4776c073
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/line/_outlierwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlierwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlierwidth", parent_name="violin.marker.line", **kwargs
+    ):
+        super(OutlierwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/marker/line/_width.py b/packages/python/plotly/plotly/validators/violin/marker/line/_width.py
new file mode 100644
index 00000000000..e38437af29d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/marker/line/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="violin.marker.line", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/meanline/__init__.py b/packages/python/plotly/plotly/validators/violin/meanline/__init__.py
index 9bac8b2277f..fddc9964cc2 100644
--- a/packages/python/plotly/plotly/validators/violin/meanline/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/meanline/__init__.py
@@ -1,41 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="violin.meanline", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="visible", parent_name="violin.meanline", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="violin.meanline", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/meanline/_color.py b/packages/python/plotly/plotly/validators/violin/meanline/_color.py
new file mode 100644
index 00000000000..3605b17a3c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/meanline/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="violin.meanline", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/meanline/_visible.py b/packages/python/plotly/plotly/validators/violin/meanline/_visible.py
new file mode 100644
index 00000000000..b63ae752b7f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/meanline/_visible.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="visible", parent_name="violin.meanline", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/meanline/_width.py b/packages/python/plotly/plotly/validators/violin/meanline/_width.py
new file mode 100644
index 00000000000..9cb6c6f1ea2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/meanline/_width.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="violin.meanline", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/selected/__init__.py b/packages/python/plotly/plotly/validators/violin/selected/__init__.py
index 6887099dd98..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/violin/selected/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/selected/__init__.py
@@ -1,22 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="violin.selected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of selected points.
-            opacity
-                Sets the marker opacity of selected points.
-            size
-                Sets the marker size of selected points.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/selected/_marker.py b/packages/python/plotly/plotly/validators/violin/selected/_marker.py
new file mode 100644
index 00000000000..6887099dd98
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/selected/_marker.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="violin.selected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of selected points.
+            opacity
+                Sets the marker opacity of selected points.
+            size
+                Sets the marker size of selected points.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/selected/marker/__init__.py b/packages/python/plotly/plotly/validators/violin/selected/marker/__init__.py
index 931587546d5..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/violin/selected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/selected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="violin.selected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="violin.selected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="violin.selected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/selected/marker/_color.py b/packages/python/plotly/plotly/validators/violin/selected/marker/_color.py
new file mode 100644
index 00000000000..8473f1743cd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/selected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="violin.selected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/selected/marker/_opacity.py b/packages/python/plotly/plotly/validators/violin/selected/marker/_opacity.py
new file mode 100644
index 00000000000..681815fe744
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/selected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="violin.selected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/selected/marker/_size.py b/packages/python/plotly/plotly/validators/violin/selected/marker/_size.py
new file mode 100644
index 00000000000..36aed912f15
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/selected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="violin.selected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/stream/__init__.py b/packages/python/plotly/plotly/validators/violin/stream/__init__.py
index 07e07e01e6a..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/violin/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="violin.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="violin.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/violin/stream/_maxpoints.py
new file mode 100644
index 00000000000..4a492668554
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="violin.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/stream/_token.py b/packages/python/plotly/plotly/validators/violin/stream/_token.py
new file mode 100644
index 00000000000..1bb4a834174
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="violin.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/unselected/__init__.py b/packages/python/plotly/plotly/validators/violin/unselected/__init__.py
index 5a58b90ed4d..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/violin/unselected/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/unselected/__init__.py
@@ -1,25 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="violin.unselected", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of unselected points,
-                applied only when a selection exists.
-            opacity
-                Sets the marker opacity of unselected points,
-                applied only when a selection exists.
-            size
-                Sets the marker size of unselected points,
-                applied only when a selection exists.
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/unselected/_marker.py b/packages/python/plotly/plotly/validators/violin/unselected/_marker.py
new file mode 100644
index 00000000000..5a58b90ed4d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/unselected/_marker.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="violin.unselected", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of unselected points,
+                applied only when a selection exists.
+            opacity
+                Sets the marker opacity of unselected points,
+                applied only when a selection exists.
+            size
+                Sets the marker size of unselected points,
+                applied only when a selection exists.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/unselected/marker/__init__.py b/packages/python/plotly/plotly/validators/violin/unselected/marker/__init__.py
index 08a04d8a0b9..7420ddcec19 100644
--- a/packages/python/plotly/plotly/validators/violin/unselected/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/violin/unselected/marker/__init__.py
@@ -1,49 +1,18 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="violin.unselected.marker", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="opacity", parent_name="violin.unselected.marker", **kwargs
-    ):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="violin.unselected.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._opacity import OpacityValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._size.SizeValidator",
+            "._opacity.OpacityValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/violin/unselected/marker/_color.py b/packages/python/plotly/plotly/validators/violin/unselected/marker/_color.py
new file mode 100644
index 00000000000..705c1de293c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/unselected/marker/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="violin.unselected.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/unselected/marker/_opacity.py b/packages/python/plotly/plotly/validators/violin/unselected/marker/_opacity.py
new file mode 100644
index 00000000000..046cbd755d0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/unselected/marker/_opacity.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="opacity", parent_name="violin.unselected.marker", **kwargs
+    ):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/violin/unselected/marker/_size.py b/packages/python/plotly/plotly/validators/violin/unselected/marker/_size.py
new file mode 100644
index 00000000000..bff895bc793
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/violin/unselected/marker/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="violin.unselected.marker", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/__init__.py b/packages/python/plotly/plotly/validators/volume/__init__.py
index 0e8048400de..1b1219d81b4 100644
--- a/packages/python/plotly/plotly/validators/volume/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/__init__.py
@@ -1,1149 +1,118 @@
-import _plotly_utils.basevalidators
-
-
-class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="zsrc", parent_name="volume", **kwargs):
-        super(ZsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="z", parent_name="volume", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="volume", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="volume", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="volume", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="volume", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="volume", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValuesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="valuesrc", parent_name="volume", **kwargs):
-        super(ValuesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="value", parent_name="volume", **kwargs):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="volume", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="volume", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="volume", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="volume", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="surface", parent_name="volume", **kwargs):
-        super(SurfaceValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Surface"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            count
-                Sets the number of iso-surfaces between minimum
-                and maximum iso-values. By default this value
-                is 2 meaning that only minimum and maximum
-                surfaces would be drawn.
-            fill
-                Sets the fill ratio of the iso-surface. The
-                default fill value of the surface is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            pattern
-                Sets the surface pattern of the iso-surface 3-D
-                sections. The default pattern of the surface is
-                `all` meaning that the rest of surface elements
-                would be shaded. The check options (either 1 or
-                2) could be used to draw half of the squares on
-                the surface. Using various combinations of
-                capital `A`, `B`, `C`, `D` and `E` may also be
-                used to reduce the number of triangles on the
-                iso-surfaces and creating other patterns of
-                interest.
-            show
-                Hides/displays surfaces between minimum and
-                maximum iso-values.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="volume", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpaceframeValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="spaceframe", parent_name="volume", **kwargs):
-        super(SpaceframeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Spaceframe"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `spaceframe`
-                elements. The default fill value is 1 meaning
-                that they are entirely shaded. Applying a
-                `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Displays/hides tetrahedron shapes between
-                minimum and maximum iso-values. Often useful
-                when either caps or surfaces are disabled or
-                filled with values less than 1.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SlicesValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="slices", parent_name="volume", **kwargs):
-        super(SlicesValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Slices"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                :class:`plotly.graph_objects.volume.slices.X`
-                instance or dict with compatible properties
-            y
-                :class:`plotly.graph_objects.volume.slices.Y`
-                instance or dict with compatible properties
-            z
-                :class:`plotly.graph_objects.volume.slices.Z`
-                instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showscale", parent_name="volume", **kwargs):
-        super(ShowscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="volume", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="scene", parent_name="volume", **kwargs):
-        super(SceneValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "scene"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="reversescale", parent_name="volume", **kwargs):
-        super(ReversescaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityscaleValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="opacityscale", parent_name="volume", **kwargs):
-        super(OpacityscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="volume", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="volume", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="volume", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="volume", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lightposition", parent_name="volume", **kwargs):
-        super(LightpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                Numeric vector, representing the X coordinate
-                for each vertex.
-            y
-                Numeric vector, representing the Y coordinate
-                for each vertex.
-            z
-                Numeric vector, representing the Z coordinate
-                for each vertex.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="lighting", parent_name="volume", **kwargs):
-        super(LightingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Lighting"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            ambient
-                Ambient light increases overall color
-                visibility but can wash out the image.
-            diffuse
-                Represents the extent that incident rays are
-                reflected in a range of angles.
-            facenormalsepsilon
-                Epsilon for face normals calculation avoids
-                math issues arising from degenerate geometry.
-            fresnel
-                Represents the reflectance as a dependency of
-                the viewing angle; e.g. paper is reflective
-                when viewing it from the edge of the paper
-                (almost 90 degrees), causing shine.
-            roughness
-                Alters specular reflection; the rougher the
-                surface, the wider and less contrasty the
-                shine.
-            specular
-                Represents the level that incident rays are
-                reflected in a single direction, causing shine.
-            vertexnormalsepsilon
-                Epsilon for vertex normals calculation avoids
-                math issues arising from degenerate geometry.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="volume", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsominValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="isomin", parent_name="volume", **kwargs):
-        super(IsominValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IsomaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="isomax", parent_name="volume", **kwargs):
-        super(IsomaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="volume", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="volume", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="volume", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="volume", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertemplatesrc", parent_name="volume", **kwargs):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="volume", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="volume", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="volume", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="volume", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="flatshading", parent_name="volume", **kwargs):
-        super(FlatshadingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="volume", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="volume", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="contour", parent_name="volume", **kwargs):
-        super(ContourValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Contour"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the color of the contour lines.
-            show
-                Sets whether or not dynamic contours are shown
-                on hover
-            width
-                Sets the width of the contour lines.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
-    def __init__(self, plotly_name="colorscale", parent_name="volume", **kwargs):
-        super(ColorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="colorbar", parent_name="volume", **kwargs):
-        super(ColorBarValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            bgcolor
-                Sets the color of padded area.
-            bordercolor
-                Sets the axis line color.
-            borderwidth
-                Sets the width (in px) or the border enclosing
-                this color bar.
-            dtick
-                Sets the step in-between ticks on this axis.
-                Use with `tick0`. Must be a positive number, or
-                special strings available to "log" and "date"
-                axes. If the axis `type` is "log", then ticks
-                are set every 10^(n*dtick) where n is the tick
-                number. For example, to set a tick mark at 1,
-                10, 100, 1000, ... set dtick to 1. To set tick
-                marks at 1, 100, 10000, ... set dtick to 2. To
-                set tick marks at 1, 5, 25, 125, 625, 3125, ...
-                set dtick to log_10(5), or 0.69897000433. "log"
-                has several special values; "L<f>", where `f`
-                is a positive number, gives ticks linearly
-                spaced in value (but not position). For example
-                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
-                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
-                plus small digits between, use "D1" (all
-                digits) or "D2" (only 2 and 5). `tick0` is
-                ignored for "D1" and "D2". If the axis `type`
-                is "date", then you must convert the time to
-                milliseconds. For example, to set the interval
-                between ticks to one day, set `dtick` to
-                86400000.0. "date" also has special values
-                "M<n>" gives ticks spaced by a number of
-                months. `n` must be a positive integer. To set
-                ticks on the 15th of every third month, set
-                `tick0` to "2000-01-15" and `dtick` to "M3". To
-                set ticks every 4 years, set `dtick` to "M48"
-            exponentformat
-                Determines a formatting rule for the tick
-                exponents. For example, consider the number
-                1,000,000,000. If "none", it appears as
-                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
-                "power", 1x10^9 (with 9 in a super script). If
-                "SI", 1G. If "B", 1B.
-            len
-                Sets the length of the color bar This measure
-                excludes the padding of both ends. That is, the
-                color bar length is this length minus the
-                padding on both ends.
-            lenmode
-                Determines whether this color bar's length
-                (i.e. the measure in the color variation
-                direction) is set in units of plot "fraction"
-                or in *pixels. Use `len` to set the value.
-            nticks
-                Specifies the maximum number of ticks for the
-                particular axis. The actual number of ticks
-                will be chosen automatically to be less than or
-                equal to `nticks`. Has an effect only if
-                `tickmode` is set to "auto".
-            outlinecolor
-                Sets the axis line color.
-            outlinewidth
-                Sets the width (in px) of the axis line.
-            separatethousands
-                If "true", even 4-digit integers are separated
-            showexponent
-                If "all", all exponents are shown besides their
-                significands. If "first", only the exponent of
-                the first tick is shown. If "last", only the
-                exponent of the last tick is shown. If "none",
-                no exponents appear.
-            showticklabels
-                Determines whether or not the tick labels are
-                drawn.
-            showtickprefix
-                If "all", all tick labels are displayed with a
-                prefix. If "first", only the first tick is
-                displayed with a prefix. If "last", only the
-                last tick is displayed with a suffix. If
-                "none", tick prefixes are hidden.
-            showticksuffix
-                Same as `showtickprefix` but for tick suffixes.
-            thickness
-                Sets the thickness of the color bar This
-                measure excludes the size of the padding, ticks
-                and labels.
-            thicknessmode
-                Determines whether this color bar's thickness
-                (i.e. the measure in the constant color
-                direction) is set in units of plot "fraction"
-                or in "pixels". Use `thickness` to set the
-                value.
-            tick0
-                Sets the placement of the first tick on this
-                axis. Use with `dtick`. If the axis `type` is
-                "log", then you must take the log of your
-                starting tick (e.g. to set the starting tick to
-                100, set the `tick0` to 2) except when
-                `dtick`=*L<f>* (see `dtick` for more info). If
-                the axis `type` is "date", it should be a date
-                string, like date data. If the axis `type` is
-                "category", it should be a number, using the
-                scale where each category is assigned a serial
-                number from zero in the order it appears.
-            tickangle
-                Sets the angle of the tick labels with respect
-                to the horizontal. For example, a `tickangle`
-                of -90 draws the tick labels vertically.
-            tickcolor
-                Sets the tick color.
-            tickfont
-                Sets the color bar's tick label font
-            tickformat
-                Sets the tick label formatting rule using d3
-                formatting mini-languages which are very
-                similar to those in Python. For numbers, see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Formatting.md#d3_format
-                And for dates see:
-                https://github.com/d3/d3-3.x-api-
-                reference/blob/master/Time-Formatting.md#format
-                We add one item to d3's date formatter: "%{n}f"
-                for fractional seconds with n digits. For
-                example, *2016-10-13 09:15:23.456* with
-                tickformat "%H~%M~%S.%2f" would display
-                "09~15~23.46"
-            tickformatstops
-                A tuple of :class:`plotly.graph_objects.volume.
-                colorbar.Tickformatstop` instances or dicts
-                with compatible properties
-            tickformatstopdefaults
-                When used in a template (as layout.template.dat
-                a.volume.colorbar.tickformatstopdefaults), sets
-                the default property values to use for elements
-                of volume.colorbar.tickformatstops
-            ticklen
-                Sets the tick length (in px).
-            tickmode
-                Sets the tick mode for this axis. If "auto",
-                the number of ticks is set via `nticks`. If
-                "linear", the placement of the ticks is
-                determined by a starting position `tick0` and a
-                tick step `dtick` ("linear" is the default
-                value if `tick0` and `dtick` are provided). If
-                "array", the placement of the ticks is set via
-                `tickvals` and the tick text is `ticktext`.
-                ("array" is the default value if `tickvals` is
-                provided).
-            tickprefix
-                Sets a tick label prefix.
-            ticks
-                Determines whether ticks are drawn or not. If
-                "", this axis' ticks are not drawn. If
-                "outside" ("inside"), this axis' are drawn
-                outside (inside) the axis lines.
-            ticksuffix
-                Sets a tick label suffix.
-            ticktext
-                Sets the text displayed at the ticks position
-                via `tickvals`. Only has an effect if
-                `tickmode` is set to "array". Used with
-                `tickvals`.
-            ticktextsrc
-                Sets the source reference on Chart Studio Cloud
-                for  ticktext .
-            tickvals
-                Sets the values at which ticks on this axis
-                appear. Only has an effect if `tickmode` is set
-                to "array". Used with `ticktext`.
-            tickvalssrc
-                Sets the source reference on Chart Studio Cloud
-                for  tickvals .
-            tickwidth
-                Sets the tick width (in px).
-            title
-                :class:`plotly.graph_objects.volume.colorbar.Ti
-                tle` instance or dict with compatible
-                properties
-            titlefont
-                Deprecated: Please use
-                volume.colorbar.title.font instead. Sets this
-                color bar's title font. Note that the title's
-                font used to be set by the now deprecated
-                `titlefont` attribute.
-            titleside
-                Deprecated: Please use
-                volume.colorbar.title.side instead. Determines
-                the location of color bar's title with respect
-                to the color bar. Note that the title's
-                location used to be set by the now deprecated
-                `titleside` attribute.
-            x
-                Sets the x position of the color bar (in plot
-                fraction).
-            xanchor
-                Sets this color bar's horizontal position
-                anchor. This anchor binds the `x` position to
-                the "left", "center" or "right" of the color
-                bar.
-            xpad
-                Sets the amount of padding (in px) along the x
-                direction.
-            y
-                Sets the y position of the color bar (in plot
-                fraction).
-            yanchor
-                Sets this color bar's vertical position anchor
-                This anchor binds the `y` position to the
-                "top", "middle" or "bottom" of the color bar.
-            ypad
-                Sets the amount of padding (in px) along the y
-                direction.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="coloraxis", parent_name="volume", **kwargs):
-        super(ColoraxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", None),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CminValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmin", parent_name="volume", **kwargs):
-        super(CminValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmid", parent_name="volume", **kwargs):
-        super(CmidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="cmax", parent_name="volume", **kwargs):
-        super(CmaxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cauto", parent_name="volume", **kwargs):
-        super(CautoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CapsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="caps", parent_name="volume", **kwargs):
-        super(CapsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Caps"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            x
-                :class:`plotly.graph_objects.volume.caps.X`
-                instance or dict with compatible properties
-            y
-                :class:`plotly.graph_objects.volume.caps.Y`
-                instance or dict with compatible properties
-            z
-                :class:`plotly.graph_objects.volume.caps.Z`
-                instance or dict with compatible properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="autocolorscale", parent_name="volume", **kwargs):
-        super(AutocolorscaleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._zsrc import ZsrcValidator
+    from ._z import ZValidator
+    from ._ysrc import YsrcValidator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._x import XValidator
+    from ._visible import VisibleValidator
+    from ._valuesrc import ValuesrcValidator
+    from ._value import ValueValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._textsrc import TextsrcValidator
+    from ._text import TextValidator
+    from ._surface import SurfaceValidator
+    from ._stream import StreamValidator
+    from ._spaceframe import SpaceframeValidator
+    from ._slices import SlicesValidator
+    from ._showscale import ShowscaleValidator
+    from ._showlegend import ShowlegendValidator
+    from ._scene import SceneValidator
+    from ._reversescale import ReversescaleValidator
+    from ._opacityscale import OpacityscaleValidator
+    from ._opacity import OpacityValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._lightposition import LightpositionValidator
+    from ._lighting import LightingValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._isomin import IsominValidator
+    from ._isomax import IsomaxValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._flatshading import FlatshadingValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._contour import ContourValidator
+    from ._colorscale import ColorscaleValidator
+    from ._colorbar import ColorbarValidator
+    from ._coloraxis import ColoraxisValidator
+    from ._cmin import CminValidator
+    from ._cmid import CmidValidator
+    from ._cmax import CmaxValidator
+    from ._cauto import CautoValidator
+    from ._caps import CapsValidator
+    from ._autocolorscale import AutocolorscaleValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._zsrc.ZsrcValidator",
+            "._z.ZValidator",
+            "._ysrc.YsrcValidator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._x.XValidator",
+            "._visible.VisibleValidator",
+            "._valuesrc.ValuesrcValidator",
+            "._value.ValueValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._textsrc.TextsrcValidator",
+            "._text.TextValidator",
+            "._surface.SurfaceValidator",
+            "._stream.StreamValidator",
+            "._spaceframe.SpaceframeValidator",
+            "._slices.SlicesValidator",
+            "._showscale.ShowscaleValidator",
+            "._showlegend.ShowlegendValidator",
+            "._scene.SceneValidator",
+            "._reversescale.ReversescaleValidator",
+            "._opacityscale.OpacityscaleValidator",
+            "._opacity.OpacityValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._lightposition.LightpositionValidator",
+            "._lighting.LightingValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._isomin.IsominValidator",
+            "._isomax.IsomaxValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._flatshading.FlatshadingValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._contour.ContourValidator",
+            "._colorscale.ColorscaleValidator",
+            "._colorbar.ColorbarValidator",
+            "._coloraxis.ColoraxisValidator",
+            "._cmin.CminValidator",
+            "._cmid.CmidValidator",
+            "._cmax.CmaxValidator",
+            "._cauto.CautoValidator",
+            "._caps.CapsValidator",
+            "._autocolorscale.AutocolorscaleValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/_autocolorscale.py b/packages/python/plotly/plotly/validators/volume/_autocolorscale.py
new file mode 100644
index 00000000000..b6a52f32928
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_autocolorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="autocolorscale", parent_name="volume", **kwargs):
+        super(AutocolorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_caps.py b/packages/python/plotly/plotly/validators/volume/_caps.py
new file mode 100644
index 00000000000..28eb428bc59
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_caps.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class CapsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="caps", parent_name="volume", **kwargs):
+        super(CapsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Caps"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                :class:`plotly.graph_objects.volume.caps.X`
+                instance or dict with compatible properties
+            y
+                :class:`plotly.graph_objects.volume.caps.Y`
+                instance or dict with compatible properties
+            z
+                :class:`plotly.graph_objects.volume.caps.Z`
+                instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_cauto.py b/packages/python/plotly/plotly/validators/volume/_cauto.py
new file mode 100644
index 00000000000..91c958e80e9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_cauto.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cauto", parent_name="volume", **kwargs):
+        super(CautoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_cmax.py b/packages/python/plotly/plotly/validators/volume/_cmax.py
new file mode 100644
index 00000000000..8bffae37dd8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_cmax.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmax", parent_name="volume", **kwargs):
+        super(CmaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_cmid.py b/packages/python/plotly/plotly/validators/volume/_cmid.py
new file mode 100644
index 00000000000..cf90bf260d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_cmid.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmid", parent_name="volume", **kwargs):
+        super(CmidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_cmin.py b/packages/python/plotly/plotly/validators/volume/_cmin.py
new file mode 100644
index 00000000000..7c6dc8c4b12
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_cmin.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CminValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="cmin", parent_name="volume", **kwargs):
+        super(CminValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_coloraxis.py b/packages/python/plotly/plotly/validators/volume/_coloraxis.py
new file mode 100644
index 00000000000..f5187144162
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_coloraxis.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="coloraxis", parent_name="volume", **kwargs):
+        super(ColoraxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", None),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_colorbar.py b/packages/python/plotly/plotly/validators/volume/_colorbar.py
new file mode 100644
index 00000000000..0071f47d9ed
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_colorbar.py
@@ -0,0 +1,227 @@
+import _plotly_utils.basevalidators
+
+
+class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="colorbar", parent_name="volume", **kwargs):
+        super(ColorbarValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "ColorBar"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            bgcolor
+                Sets the color of padded area.
+            bordercolor
+                Sets the axis line color.
+            borderwidth
+                Sets the width (in px) or the border enclosing
+                this color bar.
+            dtick
+                Sets the step in-between ticks on this axis.
+                Use with `tick0`. Must be a positive number, or
+                special strings available to "log" and "date"
+                axes. If the axis `type` is "log", then ticks
+                are set every 10^(n*dtick) where n is the tick
+                number. For example, to set a tick mark at 1,
+                10, 100, 1000, ... set dtick to 1. To set tick
+                marks at 1, 100, 10000, ... set dtick to 2. To
+                set tick marks at 1, 5, 25, 125, 625, 3125, ...
+                set dtick to log_10(5), or 0.69897000433. "log"
+                has several special values; "L<f>", where `f`
+                is a positive number, gives ticks linearly
+                spaced in value (but not position). For example
+                `tick0` = 0.1, `dtick` = "L0.5" will put ticks
+                at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
+                plus small digits between, use "D1" (all
+                digits) or "D2" (only 2 and 5). `tick0` is
+                ignored for "D1" and "D2". If the axis `type`
+                is "date", then you must convert the time to
+                milliseconds. For example, to set the interval
+                between ticks to one day, set `dtick` to
+                86400000.0. "date" also has special values
+                "M<n>" gives ticks spaced by a number of
+                months. `n` must be a positive integer. To set
+                ticks on the 15th of every third month, set
+                `tick0` to "2000-01-15" and `dtick` to "M3". To
+                set ticks every 4 years, set `dtick` to "M48"
+            exponentformat
+                Determines a formatting rule for the tick
+                exponents. For example, consider the number
+                1,000,000,000. If "none", it appears as
+                1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
+                "power", 1x10^9 (with 9 in a super script). If
+                "SI", 1G. If "B", 1B.
+            len
+                Sets the length of the color bar This measure
+                excludes the padding of both ends. That is, the
+                color bar length is this length minus the
+                padding on both ends.
+            lenmode
+                Determines whether this color bar's length
+                (i.e. the measure in the color variation
+                direction) is set in units of plot "fraction"
+                or in *pixels. Use `len` to set the value.
+            nticks
+                Specifies the maximum number of ticks for the
+                particular axis. The actual number of ticks
+                will be chosen automatically to be less than or
+                equal to `nticks`. Has an effect only if
+                `tickmode` is set to "auto".
+            outlinecolor
+                Sets the axis line color.
+            outlinewidth
+                Sets the width (in px) of the axis line.
+            separatethousands
+                If "true", even 4-digit integers are separated
+            showexponent
+                If "all", all exponents are shown besides their
+                significands. If "first", only the exponent of
+                the first tick is shown. If "last", only the
+                exponent of the last tick is shown. If "none",
+                no exponents appear.
+            showticklabels
+                Determines whether or not the tick labels are
+                drawn.
+            showtickprefix
+                If "all", all tick labels are displayed with a
+                prefix. If "first", only the first tick is
+                displayed with a prefix. If "last", only the
+                last tick is displayed with a suffix. If
+                "none", tick prefixes are hidden.
+            showticksuffix
+                Same as `showtickprefix` but for tick suffixes.
+            thickness
+                Sets the thickness of the color bar This
+                measure excludes the size of the padding, ticks
+                and labels.
+            thicknessmode
+                Determines whether this color bar's thickness
+                (i.e. the measure in the constant color
+                direction) is set in units of plot "fraction"
+                or in "pixels". Use `thickness` to set the
+                value.
+            tick0
+                Sets the placement of the first tick on this
+                axis. Use with `dtick`. If the axis `type` is
+                "log", then you must take the log of your
+                starting tick (e.g. to set the starting tick to
+                100, set the `tick0` to 2) except when
+                `dtick`=*L<f>* (see `dtick` for more info). If
+                the axis `type` is "date", it should be a date
+                string, like date data. If the axis `type` is
+                "category", it should be a number, using the
+                scale where each category is assigned a serial
+                number from zero in the order it appears.
+            tickangle
+                Sets the angle of the tick labels with respect
+                to the horizontal. For example, a `tickangle`
+                of -90 draws the tick labels vertically.
+            tickcolor
+                Sets the tick color.
+            tickfont
+                Sets the color bar's tick label font
+            tickformat
+                Sets the tick label formatting rule using d3
+                formatting mini-languages which are very
+                similar to those in Python. For numbers, see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Formatting.md#d3_format
+                And for dates see:
+                https://github.com/d3/d3-3.x-api-
+                reference/blob/master/Time-Formatting.md#format
+                We add one item to d3's date formatter: "%{n}f"
+                for fractional seconds with n digits. For
+                example, *2016-10-13 09:15:23.456* with
+                tickformat "%H~%M~%S.%2f" would display
+                "09~15~23.46"
+            tickformatstops
+                A tuple of :class:`plotly.graph_objects.volume.
+                colorbar.Tickformatstop` instances or dicts
+                with compatible properties
+            tickformatstopdefaults
+                When used in a template (as layout.template.dat
+                a.volume.colorbar.tickformatstopdefaults), sets
+                the default property values to use for elements
+                of volume.colorbar.tickformatstops
+            ticklen
+                Sets the tick length (in px).
+            tickmode
+                Sets the tick mode for this axis. If "auto",
+                the number of ticks is set via `nticks`. If
+                "linear", the placement of the ticks is
+                determined by a starting position `tick0` and a
+                tick step `dtick` ("linear" is the default
+                value if `tick0` and `dtick` are provided). If
+                "array", the placement of the ticks is set via
+                `tickvals` and the tick text is `ticktext`.
+                ("array" is the default value if `tickvals` is
+                provided).
+            tickprefix
+                Sets a tick label prefix.
+            ticks
+                Determines whether ticks are drawn or not. If
+                "", this axis' ticks are not drawn. If
+                "outside" ("inside"), this axis' are drawn
+                outside (inside) the axis lines.
+            ticksuffix
+                Sets a tick label suffix.
+            ticktext
+                Sets the text displayed at the ticks position
+                via `tickvals`. Only has an effect if
+                `tickmode` is set to "array". Used with
+                `tickvals`.
+            ticktextsrc
+                Sets the source reference on Chart Studio Cloud
+                for  ticktext .
+            tickvals
+                Sets the values at which ticks on this axis
+                appear. Only has an effect if `tickmode` is set
+                to "array". Used with `ticktext`.
+            tickvalssrc
+                Sets the source reference on Chart Studio Cloud
+                for  tickvals .
+            tickwidth
+                Sets the tick width (in px).
+            title
+                :class:`plotly.graph_objects.volume.colorbar.Ti
+                tle` instance or dict with compatible
+                properties
+            titlefont
+                Deprecated: Please use
+                volume.colorbar.title.font instead. Sets this
+                color bar's title font. Note that the title's
+                font used to be set by the now deprecated
+                `titlefont` attribute.
+            titleside
+                Deprecated: Please use
+                volume.colorbar.title.side instead. Determines
+                the location of color bar's title with respect
+                to the color bar. Note that the title's
+                location used to be set by the now deprecated
+                `titleside` attribute.
+            x
+                Sets the x position of the color bar (in plot
+                fraction).
+            xanchor
+                Sets this color bar's horizontal position
+                anchor. This anchor binds the `x` position to
+                the "left", "center" or "right" of the color
+                bar.
+            xpad
+                Sets the amount of padding (in px) along the x
+                direction.
+            y
+                Sets the y position of the color bar (in plot
+                fraction).
+            yanchor
+                Sets this color bar's vertical position anchor
+                This anchor binds the `y` position to the
+                "top", "middle" or "bottom" of the color bar.
+            ypad
+                Sets the amount of padding (in px) along the y
+                direction.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_colorscale.py b/packages/python/plotly/plotly/validators/volume/_colorscale.py
new file mode 100644
index 00000000000..4907daa5ee2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_colorscale.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
+    def __init__(self, plotly_name="colorscale", parent_name="volume", **kwargs):
+        super(ColorscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_contour.py b/packages/python/plotly/plotly/validators/volume/_contour.py
new file mode 100644
index 00000000000..a190efe2c26
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_contour.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="contour", parent_name="volume", **kwargs):
+        super(ContourValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Contour"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the color of the contour lines.
+            show
+                Sets whether or not dynamic contours are shown
+                on hover
+            width
+                Sets the width of the contour lines.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_customdata.py b/packages/python/plotly/plotly/validators/volume/_customdata.py
new file mode 100644
index 00000000000..25f39156b5e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="volume", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_customdatasrc.py b/packages/python/plotly/plotly/validators/volume/_customdatasrc.py
new file mode 100644
index 00000000000..0788e0d3ed3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="volume", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_flatshading.py b/packages/python/plotly/plotly/validators/volume/_flatshading.py
new file mode 100644
index 00000000000..42d144352d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_flatshading.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="flatshading", parent_name="volume", **kwargs):
+        super(FlatshadingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hoverinfo.py b/packages/python/plotly/plotly/validators/volume/_hoverinfo.py
new file mode 100644
index 00000000000..ea59020a970
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hoverinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="volume", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/volume/_hoverinfosrc.py
new file mode 100644
index 00000000000..118dc0ef1ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="volume", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hoverlabel.py b/packages/python/plotly/plotly/validators/volume/_hoverlabel.py
new file mode 100644
index 00000000000..a0b91169424
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="volume", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hovertemplate.py b/packages/python/plotly/plotly/validators/volume/_hovertemplate.py
new file mode 100644
index 00000000000..4e1bde19c42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="volume", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/volume/_hovertemplatesrc.py
new file mode 100644
index 00000000000..b82c35d76b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hovertemplatesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertemplatesrc", parent_name="volume", **kwargs):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hovertext.py b/packages/python/plotly/plotly/validators/volume/_hovertext.py
new file mode 100644
index 00000000000..b0e788fed94
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="volume", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_hovertextsrc.py b/packages/python/plotly/plotly/validators/volume/_hovertextsrc.py
new file mode 100644
index 00000000000..757fd387585
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="volume", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_ids.py b/packages/python/plotly/plotly/validators/volume/_ids.py
new file mode 100644
index 00000000000..46bb0b47d03
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="volume", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_idssrc.py b/packages/python/plotly/plotly/validators/volume/_idssrc.py
new file mode 100644
index 00000000000..b3087027748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="volume", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_isomax.py b/packages/python/plotly/plotly/validators/volume/_isomax.py
new file mode 100644
index 00000000000..6068e68983d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_isomax.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IsomaxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="isomax", parent_name="volume", **kwargs):
+        super(IsomaxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_isomin.py b/packages/python/plotly/plotly/validators/volume/_isomin.py
new file mode 100644
index 00000000000..0a6d7d5a9c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_isomin.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IsominValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="isomin", parent_name="volume", **kwargs):
+        super(IsominValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_legendgroup.py b/packages/python/plotly/plotly/validators/volume/_legendgroup.py
new file mode 100644
index 00000000000..0202ff6edd3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="volume", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_lighting.py b/packages/python/plotly/plotly/validators/volume/_lighting.py
new file mode 100644
index 00000000000..8eff0397eb8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_lighting.py
@@ -0,0 +1,40 @@
+import _plotly_utils.basevalidators
+
+
+class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lighting", parent_name="volume", **kwargs):
+        super(LightingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lighting"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            ambient
+                Ambient light increases overall color
+                visibility but can wash out the image.
+            diffuse
+                Represents the extent that incident rays are
+                reflected in a range of angles.
+            facenormalsepsilon
+                Epsilon for face normals calculation avoids
+                math issues arising from degenerate geometry.
+            fresnel
+                Represents the reflectance as a dependency of
+                the viewing angle; e.g. paper is reflective
+                when viewing it from the edge of the paper
+                (almost 90 degrees), causing shine.
+            roughness
+                Alters specular reflection; the rougher the
+                surface, the wider and less contrasty the
+                shine.
+            specular
+                Represents the level that incident rays are
+                reflected in a single direction, causing shine.
+            vertexnormalsepsilon
+                Epsilon for vertex normals calculation avoids
+                math issues arising from degenerate geometry.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_lightposition.py b/packages/python/plotly/plotly/validators/volume/_lightposition.py
new file mode 100644
index 00000000000..f7114f0b8e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_lightposition.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="lightposition", parent_name="volume", **kwargs):
+        super(LightpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Lightposition"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                Numeric vector, representing the X coordinate
+                for each vertex.
+            y
+                Numeric vector, representing the Y coordinate
+                for each vertex.
+            z
+                Numeric vector, representing the Z coordinate
+                for each vertex.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_meta.py b/packages/python/plotly/plotly/validators/volume/_meta.py
new file mode 100644
index 00000000000..a6a52d13ed6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="volume", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_metasrc.py b/packages/python/plotly/plotly/validators/volume/_metasrc.py
new file mode 100644
index 00000000000..0d589a0553a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="volume", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_name.py b/packages/python/plotly/plotly/validators/volume/_name.py
new file mode 100644
index 00000000000..37560192dfb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="volume", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_opacity.py b/packages/python/plotly/plotly/validators/volume/_opacity.py
new file mode 100644
index 00000000000..89634eed3bb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="volume", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_opacityscale.py b/packages/python/plotly/plotly/validators/volume/_opacityscale.py
new file mode 100644
index 00000000000..7882607939c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_opacityscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityscaleValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="opacityscale", parent_name="volume", **kwargs):
+        super(OpacityscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_reversescale.py b/packages/python/plotly/plotly/validators/volume/_reversescale.py
new file mode 100644
index 00000000000..99c122b9dc2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_reversescale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="reversescale", parent_name="volume", **kwargs):
+        super(ReversescaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_scene.py b/packages/python/plotly/plotly/validators/volume/_scene.py
new file mode 100644
index 00000000000..f52a5ed34c1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_scene.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class SceneValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="scene", parent_name="volume", **kwargs):
+        super(SceneValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "scene"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_showlegend.py b/packages/python/plotly/plotly/validators/volume/_showlegend.py
new file mode 100644
index 00000000000..13a38b8456a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="volume", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_showscale.py b/packages/python/plotly/plotly/validators/volume/_showscale.py
new file mode 100644
index 00000000000..3118ffdd2e0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_showscale.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showscale", parent_name="volume", **kwargs):
+        super(ShowscaleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_slices.py b/packages/python/plotly/plotly/validators/volume/_slices.py
new file mode 100644
index 00000000000..fdff42bc7d3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_slices.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class SlicesValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="slices", parent_name="volume", **kwargs):
+        super(SlicesValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Slices"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            x
+                :class:`plotly.graph_objects.volume.slices.X`
+                instance or dict with compatible properties
+            y
+                :class:`plotly.graph_objects.volume.slices.Y`
+                instance or dict with compatible properties
+            z
+                :class:`plotly.graph_objects.volume.slices.Z`
+                instance or dict with compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_spaceframe.py b/packages/python/plotly/plotly/validators/volume/_spaceframe.py
new file mode 100644
index 00000000000..1f677bc93eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_spaceframe.py
@@ -0,0 +1,27 @@
+import _plotly_utils.basevalidators
+
+
+class SpaceframeValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="spaceframe", parent_name="volume", **kwargs):
+        super(SpaceframeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Spaceframe"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `spaceframe`
+                elements. The default fill value is 1 meaning
+                that they are entirely shaded. Applying a
+                `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Displays/hides tetrahedron shapes between
+                minimum and maximum iso-values. Often useful
+                when either caps or surfaces are disabled or
+                filled with values less than 1.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_stream.py b/packages/python/plotly/plotly/validators/volume/_stream.py
new file mode 100644
index 00000000000..ca6f5c722f8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="volume", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_surface.py b/packages/python/plotly/plotly/validators/volume/_surface.py
new file mode 100644
index 00000000000..be530bbd93f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_surface.py
@@ -0,0 +1,42 @@
+import _plotly_utils.basevalidators
+
+
+class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="surface", parent_name="volume", **kwargs):
+        super(SurfaceValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Surface"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            count
+                Sets the number of iso-surfaces between minimum
+                and maximum iso-values. By default this value
+                is 2 meaning that only minimum and maximum
+                surfaces would be drawn.
+            fill
+                Sets the fill ratio of the iso-surface. The
+                default fill value of the surface is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            pattern
+                Sets the surface pattern of the iso-surface 3-D
+                sections. The default pattern of the surface is
+                `all` meaning that the rest of surface elements
+                would be shaded. The check options (either 1 or
+                2) could be used to draw half of the squares on
+                the surface. Using various combinations of
+                capital `A`, `B`, `C`, `D` and `E` may also be
+                used to reduce the number of triangles on the
+                iso-surfaces and creating other patterns of
+                interest.
+            show
+                Hides/displays surfaces between minimum and
+                maximum iso-values.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_text.py b/packages/python/plotly/plotly/validators/volume/_text.py
new file mode 100644
index 00000000000..315a32e9e9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="volume", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_textsrc.py b/packages/python/plotly/plotly/validators/volume/_textsrc.py
new file mode 100644
index 00000000000..99640fbb239
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="volume", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_uid.py b/packages/python/plotly/plotly/validators/volume/_uid.py
new file mode 100644
index 00000000000..1a180953a5c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="volume", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_uirevision.py b/packages/python/plotly/plotly/validators/volume/_uirevision.py
new file mode 100644
index 00000000000..8b15194fbb6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="volume", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_value.py b/packages/python/plotly/plotly/validators/volume/_value.py
new file mode 100644
index 00000000000..b518cdd5c2d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_value.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="value", parent_name="volume", **kwargs):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_valuesrc.py b/packages/python/plotly/plotly/validators/volume/_valuesrc.py
new file mode 100644
index 00000000000..2a3d1f53080
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_valuesrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ValuesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="valuesrc", parent_name="volume", **kwargs):
+        super(ValuesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_visible.py b/packages/python/plotly/plotly/validators/volume/_visible.py
new file mode 100644
index 00000000000..aa9721d7adc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="volume", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_x.py b/packages/python/plotly/plotly/validators/volume/_x.py
new file mode 100644
index 00000000000..8633e67de68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="volume", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_xsrc.py b/packages/python/plotly/plotly/validators/volume/_xsrc.py
new file mode 100644
index 00000000000..5ab6e41baa4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="volume", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_y.py b/packages/python/plotly/plotly/validators/volume/_y.py
new file mode 100644
index 00000000000..08ed7fa9ed0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="volume", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_ysrc.py b/packages/python/plotly/plotly/validators/volume/_ysrc.py
new file mode 100644
index 00000000000..f8ffff38f68
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="volume", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_z.py b/packages/python/plotly/plotly/validators/volume/_z.py
new file mode 100644
index 00000000000..c59a08d80c6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_z.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="z", parent_name="volume", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/_zsrc.py b/packages/python/plotly/plotly/validators/volume/_zsrc.py
new file mode 100644
index 00000000000..d85e1b4425a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/_zsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="zsrc", parent_name="volume", **kwargs):
+        super(ZsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/__init__.py b/packages/python/plotly/plotly/validators/volume/caps/__init__.py
index 24283571cfa..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/volume/caps/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/caps/__init__.py
@@ -1,91 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="z", parent_name="volume.caps", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Z"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `caps`. The default
-                fill value of the `caps` is 1 meaning that they
-                are entirely shaded. On the other hand Applying
-                a `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Sets the fill ratio of the `slices`. The
-                default fill value of the z `slices` is 1
-                meaning that they are entirely shaded. On the
-                other hand Applying a `fill` ratio less than
-                one would allow the creation of openings
-                parallel to the edges.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="y", parent_name="volume.caps", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Y"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `caps`. The default
-                fill value of the `caps` is 1 meaning that they
-                are entirely shaded. On the other hand Applying
-                a `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Sets the fill ratio of the `slices`. The
-                default fill value of the y `slices` is 1
-                meaning that they are entirely shaded. On the
-                other hand Applying a `fill` ratio less than
-                one would allow the creation of openings
-                parallel to the edges.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="x", parent_name="volume.caps", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "X"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `caps`. The default
-                fill value of the `caps` is 1 meaning that they
-                are entirely shaded. On the other hand Applying
-                a `fill` ratio less than one would allow the
-                creation of openings parallel to the edges.
-            show
-                Sets the fill ratio of the `slices`. The
-                default fill value of the x `slices` is 1
-                meaning that they are entirely shaded. On the
-                other hand Applying a `fill` ratio less than
-                one would allow the creation of openings
-                parallel to the edges.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/_x.py b/packages/python/plotly/plotly/validators/volume/caps/_x.py
new file mode 100644
index 00000000000..ab5dca31391
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/_x.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="x", parent_name="volume.caps", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "X"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `caps`. The default
+                fill value of the `caps` is 1 meaning that they
+                are entirely shaded. On the other hand Applying
+                a `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Sets the fill ratio of the `slices`. The
+                default fill value of the x `slices` is 1
+                meaning that they are entirely shaded. On the
+                other hand Applying a `fill` ratio less than
+                one would allow the creation of openings
+                parallel to the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/_y.py b/packages/python/plotly/plotly/validators/volume/caps/_y.py
new file mode 100644
index 00000000000..a8743f78971
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/_y.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="y", parent_name="volume.caps", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Y"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `caps`. The default
+                fill value of the `caps` is 1 meaning that they
+                are entirely shaded. On the other hand Applying
+                a `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Sets the fill ratio of the `slices`. The
+                default fill value of the y `slices` is 1
+                meaning that they are entirely shaded. On the
+                other hand Applying a `fill` ratio less than
+                one would allow the creation of openings
+                parallel to the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/_z.py b/packages/python/plotly/plotly/validators/volume/caps/_z.py
new file mode 100644
index 00000000000..32828337d58
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/_z.py
@@ -0,0 +1,29 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="z", parent_name="volume.caps", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Z"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `caps`. The default
+                fill value of the `caps` is 1 meaning that they
+                are entirely shaded. On the other hand Applying
+                a `fill` ratio less than one would allow the
+                creation of openings parallel to the edges.
+            show
+                Sets the fill ratio of the `slices`. The
+                default fill value of the z `slices` is 1
+                meaning that they are entirely shaded. On the
+                other hand Applying a `fill` ratio less than
+                one would allow the creation of openings
+                parallel to the edges.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/x/__init__.py b/packages/python/plotly/plotly/validators/volume/caps/x/__init__.py
index fb3100dc725..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/volume/caps/x/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/caps/x/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.caps.x", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.caps.x", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/x/_fill.py b/packages/python/plotly/plotly/validators/volume/caps/x/_fill.py
new file mode 100644
index 00000000000..352264926ff
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/x/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.caps.x", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/x/_show.py b/packages/python/plotly/plotly/validators/volume/caps/x/_show.py
new file mode 100644
index 00000000000..a77c4f32cc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/x/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.caps.x", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/y/__init__.py b/packages/python/plotly/plotly/validators/volume/caps/y/__init__.py
index c172653cc30..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/volume/caps/y/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/caps/y/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.caps.y", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.caps.y", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/y/_fill.py b/packages/python/plotly/plotly/validators/volume/caps/y/_fill.py
new file mode 100644
index 00000000000..3677d0ad6ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/y/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.caps.y", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/y/_show.py b/packages/python/plotly/plotly/validators/volume/caps/y/_show.py
new file mode 100644
index 00000000000..2bdb9826ec2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/y/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.caps.y", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/z/__init__.py b/packages/python/plotly/plotly/validators/volume/caps/z/__init__.py
index 8167df82772..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/volume/caps/z/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/caps/z/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.caps.z", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.caps.z", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/z/_fill.py b/packages/python/plotly/plotly/validators/volume/caps/z/_fill.py
new file mode 100644
index 00000000000..06ac4cdcd93
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/z/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.caps.z", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/caps/z/_show.py b/packages/python/plotly/plotly/validators/volume/caps/z/_show.py
new file mode 100644
index 00000000000..7417173559f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/caps/z/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.caps.z", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/__init__.py b/packages/python/plotly/plotly/validators/volume/colorbar/__init__.py
index d1dec9f10bb..4f72c5503b8 100644
--- a/packages/python/plotly/plotly/validators/volume/colorbar/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/__init__.py
@@ -1,730 +1,94 @@
-import _plotly_utils.basevalidators
-
-
-class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ypad", parent_name="volume.colorbar", **kwargs):
-        super(YpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="yanchor", parent_name="volume.colorbar", **kwargs):
-        super(YanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["top", "middle", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="volume.colorbar", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="xpad", parent_name="volume.colorbar", **kwargs):
-        super(XpadValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="xanchor", parent_name="volume.colorbar", **kwargs):
-        super(XanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "center", "right"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="volume.colorbar", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 3),
-            min=kwargs.pop("min", -2),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
-    def __init__(self, plotly_name="title", parent_name="volume.colorbar", **kwargs):
-        super(TitleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Title"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            font
-                Sets this color bar's title font. Note that the
-                title's font used to be set by the now
-                deprecated `titlefont` attribute.
-            side
-                Determines the location of color bar's title
-                with respect to the color bar. Note that the
-                title's location used to be set by the now
-                deprecated `titleside` attribute.
-            text
-                Sets the title of the color bar. Note that
-                before the existence of `title.text`, the
-                title's contents used to be defined as the
-                `title` attribute itself. This behavior has
-                been deprecated.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="tickwidth", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="tickvalssrc", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickvalssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="tickvals", parent_name="volume.colorbar", **kwargs):
-        super(TickvalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="ticktextsrc", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TicktextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ticktext", parent_name="volume.colorbar", **kwargs):
-        super(TicktextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="ticksuffix", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TicksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="ticks", parent_name="volume.colorbar", **kwargs):
-        super(TicksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["outside", "inside", ""]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickprefix", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="tickmode", parent_name="volume.colorbar", **kwargs):
-        super(TickmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {}),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["auto", "linear", "array"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ticklen", parent_name="volume.colorbar", **kwargs):
-        super(TicklenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self,
-        plotly_name="tickformatstopdefaults",
-        parent_name="volume.colorbar",
-        **kwargs
-    ):
-        super(TickformatstopValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
-    def __init__(
-        self, plotly_name="tickformatstops", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickformatstopsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            dtickrange
-                range [*min*, *max*], where "min", "max" -
-                dtick values which describe some zoom level, it
-                is possible to omit "min" or "max" value by
-                passing "null"
-            enabled
-                Determines whether or not this stop is used. If
-                `false`, this stop is ignored even within its
-                `dtickrange`.
-            name
-                When used in a template, named items are
-                created in the output figure in addition to any
-                items the figure already has in this array. You
-                can modify these items in the output figure by
-                making your own item with `templateitemname`
-                matching this `name` alongside your
-                modifications (including `visible: false` or
-                `enabled: false` to hide it). Has no effect
-                outside of a template.
-            templateitemname
-                Used to refer to a named item in this array in
-                the template. Named items from the template
-                will be created even without a matching item in
-                the input figure, but you can modify one by
-                making an item with `templateitemname` matching
-                its `name`, alongside your modifications
-                (including `visible: false` or `enabled: false`
-                to hide it). If there is no template or no
-                matching item, this item will be hidden unless
-                you explicitly show it with `visible: true`.
-            value
-                string - dtickformat for described zoom level,
-                the same as "tickformat"
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="tickformat", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="tickfont", parent_name="volume.colorbar", **kwargs):
-        super(TickfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="tickcolor", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(
-        self, plotly_name="tickangle", parent_name="volume.colorbar", **kwargs
-    ):
-        super(TickangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="tick0", parent_name="volume.colorbar", **kwargs):
-        super(Tick0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="thicknessmode", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ThicknessmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="thickness", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ThicknessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showticksuffix", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ShowticksuffixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showtickprefix", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ShowtickprefixValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="showticklabels", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ShowticklabelsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="showexponent", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ShowexponentValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["all", "first", "last", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="separatethousands", parent_name="volume.colorbar", **kwargs
-    ):
-        super(SeparatethousandsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="outlinewidth", parent_name="volume.colorbar", **kwargs
-    ):
-        super(OutlinewidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="outlinecolor", parent_name="volume.colorbar", **kwargs
-    ):
-        super(OutlinecolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="nticks", parent_name="volume.colorbar", **kwargs):
-        super(NticksValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="lenmode", parent_name="volume.colorbar", **kwargs):
-        super(LenmodeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["fraction", "pixels"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LenValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="len", parent_name="volume.colorbar", **kwargs):
-        super(LenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="exponentformat", parent_name="volume.colorbar", **kwargs
-    ):
-        super(ExponentformatValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="dtick", parent_name="volume.colorbar", **kwargs):
-        super(DtickValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="borderwidth", parent_name="volume.colorbar", **kwargs
-    ):
-        super(BorderwidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="volume.colorbar", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="bgcolor", parent_name="volume.colorbar", **kwargs):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ypad import YpadValidator
+    from ._yanchor import YanchorValidator
+    from ._y import YValidator
+    from ._xpad import XpadValidator
+    from ._xanchor import XanchorValidator
+    from ._x import XValidator
+    from ._title import TitleValidator
+    from ._tickwidth import TickwidthValidator
+    from ._tickvalssrc import TickvalssrcValidator
+    from ._tickvals import TickvalsValidator
+    from ._ticktextsrc import TicktextsrcValidator
+    from ._ticktext import TicktextValidator
+    from ._ticksuffix import TicksuffixValidator
+    from ._ticks import TicksValidator
+    from ._tickprefix import TickprefixValidator
+    from ._tickmode import TickmodeValidator
+    from ._ticklen import TicklenValidator
+    from ._tickformatstopdefaults import TickformatstopdefaultsValidator
+    from ._tickformatstops import TickformatstopsValidator
+    from ._tickformat import TickformatValidator
+    from ._tickfont import TickfontValidator
+    from ._tickcolor import TickcolorValidator
+    from ._tickangle import TickangleValidator
+    from ._tick0 import Tick0Validator
+    from ._thicknessmode import ThicknessmodeValidator
+    from ._thickness import ThicknessValidator
+    from ._showticksuffix import ShowticksuffixValidator
+    from ._showtickprefix import ShowtickprefixValidator
+    from ._showticklabels import ShowticklabelsValidator
+    from ._showexponent import ShowexponentValidator
+    from ._separatethousands import SeparatethousandsValidator
+    from ._outlinewidth import OutlinewidthValidator
+    from ._outlinecolor import OutlinecolorValidator
+    from ._nticks import NticksValidator
+    from ._lenmode import LenmodeValidator
+    from ._len import LenValidator
+    from ._exponentformat import ExponentformatValidator
+    from ._dtick import DtickValidator
+    from ._borderwidth import BorderwidthValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolor import BgcolorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ypad.YpadValidator",
+            "._yanchor.YanchorValidator",
+            "._y.YValidator",
+            "._xpad.XpadValidator",
+            "._xanchor.XanchorValidator",
+            "._x.XValidator",
+            "._title.TitleValidator",
+            "._tickwidth.TickwidthValidator",
+            "._tickvalssrc.TickvalssrcValidator",
+            "._tickvals.TickvalsValidator",
+            "._ticktextsrc.TicktextsrcValidator",
+            "._ticktext.TicktextValidator",
+            "._ticksuffix.TicksuffixValidator",
+            "._ticks.TicksValidator",
+            "._tickprefix.TickprefixValidator",
+            "._tickmode.TickmodeValidator",
+            "._ticklen.TicklenValidator",
+            "._tickformatstopdefaults.TickformatstopdefaultsValidator",
+            "._tickformatstops.TickformatstopsValidator",
+            "._tickformat.TickformatValidator",
+            "._tickfont.TickfontValidator",
+            "._tickcolor.TickcolorValidator",
+            "._tickangle.TickangleValidator",
+            "._tick0.Tick0Validator",
+            "._thicknessmode.ThicknessmodeValidator",
+            "._thickness.ThicknessValidator",
+            "._showticksuffix.ShowticksuffixValidator",
+            "._showtickprefix.ShowtickprefixValidator",
+            "._showticklabels.ShowticklabelsValidator",
+            "._showexponent.ShowexponentValidator",
+            "._separatethousands.SeparatethousandsValidator",
+            "._outlinewidth.OutlinewidthValidator",
+            "._outlinecolor.OutlinecolorValidator",
+            "._nticks.NticksValidator",
+            "._lenmode.LenmodeValidator",
+            "._len.LenValidator",
+            "._exponentformat.ExponentformatValidator",
+            "._dtick.DtickValidator",
+            "._borderwidth.BorderwidthValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolor.BgcolorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_bgcolor.py b/packages/python/plotly/plotly/validators/volume/colorbar/_bgcolor.py
new file mode 100644
index 00000000000..8bb5a4cb204
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_bgcolor.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="bgcolor", parent_name="volume.colorbar", **kwargs):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_bordercolor.py b/packages/python/plotly/plotly/validators/volume/colorbar/_bordercolor.py
new file mode 100644
index 00000000000..16f801f934d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_bordercolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="volume.colorbar", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_borderwidth.py b/packages/python/plotly/plotly/validators/volume/colorbar/_borderwidth.py
new file mode 100644
index 00000000000..812ecc9003e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_borderwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="borderwidth", parent_name="volume.colorbar", **kwargs
+    ):
+        super(BorderwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_dtick.py b/packages/python/plotly/plotly/validators/volume/colorbar/_dtick.py
new file mode 100644
index 00000000000..1ec8c812eec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_dtick.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="dtick", parent_name="volume.colorbar", **kwargs):
+        super(DtickValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_exponentformat.py b/packages/python/plotly/plotly/validators/volume/colorbar/_exponentformat.py
new file mode 100644
index 00000000000..9b7790a7b1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_exponentformat.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="exponentformat", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ExponentformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_len.py b/packages/python/plotly/plotly/validators/volume/colorbar/_len.py
new file mode 100644
index 00000000000..d6bf9bbc922
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_len.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="len", parent_name="volume.colorbar", **kwargs):
+        super(LenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_lenmode.py b/packages/python/plotly/plotly/validators/volume/colorbar/_lenmode.py
new file mode 100644
index 00000000000..3995b58ea4e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_lenmode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="lenmode", parent_name="volume.colorbar", **kwargs):
+        super(LenmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_nticks.py b/packages/python/plotly/plotly/validators/volume/colorbar/_nticks.py
new file mode 100644
index 00000000000..19acd2fde3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_nticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="nticks", parent_name="volume.colorbar", **kwargs):
+        super(NticksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_outlinecolor.py b/packages/python/plotly/plotly/validators/volume/colorbar/_outlinecolor.py
new file mode 100644
index 00000000000..b9526e538dd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_outlinecolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="outlinecolor", parent_name="volume.colorbar", **kwargs
+    ):
+        super(OutlinecolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_outlinewidth.py b/packages/python/plotly/plotly/validators/volume/colorbar/_outlinewidth.py
new file mode 100644
index 00000000000..29edfd47f0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_outlinewidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="outlinewidth", parent_name="volume.colorbar", **kwargs
+    ):
+        super(OutlinewidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_separatethousands.py b/packages/python/plotly/plotly/validators/volume/colorbar/_separatethousands.py
new file mode 100644
index 00000000000..15c96d1e82d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_separatethousands.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="separatethousands", parent_name="volume.colorbar", **kwargs
+    ):
+        super(SeparatethousandsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_showexponent.py b/packages/python/plotly/plotly/validators/volume/colorbar/_showexponent.py
new file mode 100644
index 00000000000..9395334d75a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_showexponent.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showexponent", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ShowexponentValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_showticklabels.py b/packages/python/plotly/plotly/validators/volume/colorbar/_showticklabels.py
new file mode 100644
index 00000000000..bf013587ad8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_showticklabels.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="showticklabels", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ShowticklabelsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_showtickprefix.py b/packages/python/plotly/plotly/validators/volume/colorbar/_showtickprefix.py
new file mode 100644
index 00000000000..8e5d58c1566
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_showtickprefix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showtickprefix", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ShowtickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_showticksuffix.py b/packages/python/plotly/plotly/validators/volume/colorbar/_showticksuffix.py
new file mode 100644
index 00000000000..1b9d6d0e4f9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_showticksuffix.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="showticksuffix", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ShowticksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["all", "first", "last", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_thickness.py b/packages/python/plotly/plotly/validators/volume/colorbar/_thickness.py
new file mode 100644
index 00000000000..dda1f5d2339
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_thickness.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="thickness", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ThicknessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_thicknessmode.py b/packages/python/plotly/plotly/validators/volume/colorbar/_thicknessmode.py
new file mode 100644
index 00000000000..351c0431fee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_thicknessmode.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="thicknessmode", parent_name="volume.colorbar", **kwargs
+    ):
+        super(ThicknessmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["fraction", "pixels"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tick0.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tick0.py
new file mode 100644
index 00000000000..2bc80fb0cf3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tick0.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="tick0", parent_name="volume.colorbar", **kwargs):
+        super(Tick0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickangle.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickangle.py
new file mode 100644
index 00000000000..d207cb61a48
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickangle.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(
+        self, plotly_name="tickangle", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickcolor.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickcolor.py
new file mode 100644
index 00000000000..77cfc5eaba0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickcolor.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="tickcolor", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickfont.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickfont.py
new file mode 100644
index 00000000000..16d626d4708
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickfont.py
@@ -0,0 +1,37 @@
+import _plotly_utils.basevalidators
+
+
+class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="tickfont", parent_name="volume.colorbar", **kwargs):
+        super(TickfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickformat.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickformat.py
new file mode 100644
index 00000000000..413e0bc17a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickformat.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickformat", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickformatValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickformatstopdefaults.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickformatstopdefaults.py
new file mode 100644
index 00000000000..33389199abd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickformatstopdefaults.py
@@ -0,0 +1,21 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self,
+        plotly_name="tickformatstopdefaults",
+        parent_name="volume.colorbar",
+        **kwargs
+    ):
+        super(TickformatstopdefaultsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickformatstops.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickformatstops.py
new file mode 100644
index 00000000000..e0f1ecd0b3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickformatstops.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
+    def __init__(
+        self, plotly_name="tickformatstops", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickformatstopsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            dtickrange
+                range [*min*, *max*], where "min", "max" -
+                dtick values which describe some zoom level, it
+                is possible to omit "min" or "max" value by
+                passing "null"
+            enabled
+                Determines whether or not this stop is used. If
+                `false`, this stop is ignored even within its
+                `dtickrange`.
+            name
+                When used in a template, named items are
+                created in the output figure in addition to any
+                items the figure already has in this array. You
+                can modify these items in the output figure by
+                making your own item with `templateitemname`
+                matching this `name` alongside your
+                modifications (including `visible: false` or
+                `enabled: false` to hide it). Has no effect
+                outside of a template.
+            templateitemname
+                Used to refer to a named item in this array in
+                the template. Named items from the template
+                will be created even without a matching item in
+                the input figure, but you can modify one by
+                making an item with `templateitemname` matching
+                its `name`, alongside your modifications
+                (including `visible: false` or `enabled: false`
+                to hide it). If there is no template or no
+                matching item, this item will be hidden unless
+                you explicitly show it with `visible: true`.
+            value
+                string - dtickformat for described zoom level,
+                the same as "tickformat"
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_ticklen.py b/packages/python/plotly/plotly/validators/volume/colorbar/_ticklen.py
new file mode 100644
index 00000000000..33e42093ce0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_ticklen.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ticklen", parent_name="volume.colorbar", **kwargs):
+        super(TicklenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickmode.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickmode.py
new file mode 100644
index 00000000000..98d68cfbea4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickmode.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="tickmode", parent_name="volume.colorbar", **kwargs):
+        super(TickmodeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            implied_edits=kwargs.pop("implied_edits", {}),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["auto", "linear", "array"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickprefix.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickprefix.py
new file mode 100644
index 00000000000..52460c02edd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickprefix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="tickprefix", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickprefixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_ticks.py b/packages/python/plotly/plotly/validators/volume/colorbar/_ticks.py
new file mode 100644
index 00000000000..ebf188f25c2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_ticks.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="ticks", parent_name="volume.colorbar", **kwargs):
+        super(TicksValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["outside", "inside", ""]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_ticksuffix.py b/packages/python/plotly/plotly/validators/volume/colorbar/_ticksuffix.py
new file mode 100644
index 00000000000..1106e90e237
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_ticksuffix.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="ticksuffix", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TicksuffixValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_ticktext.py b/packages/python/plotly/plotly/validators/volume/colorbar/_ticktext.py
new file mode 100644
index 00000000000..88942ef0a8e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_ticktext.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ticktext", parent_name="volume.colorbar", **kwargs):
+        super(TicktextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_ticktextsrc.py b/packages/python/plotly/plotly/validators/volume/colorbar/_ticktextsrc.py
new file mode 100644
index 00000000000..22bb88e2641
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_ticktextsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="ticktextsrc", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TicktextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickvals.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickvals.py
new file mode 100644
index 00000000000..786fa51c028
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickvals.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="tickvals", parent_name="volume.colorbar", **kwargs):
+        super(TickvalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickvalssrc.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickvalssrc.py
new file mode 100644
index 00000000000..38d6c05a33b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickvalssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="tickvalssrc", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickvalssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_tickwidth.py b/packages/python/plotly/plotly/validators/volume/colorbar/_tickwidth.py
new file mode 100644
index 00000000000..99aa2d167c3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_tickwidth.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="tickwidth", parent_name="volume.colorbar", **kwargs
+    ):
+        super(TickwidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_title.py b/packages/python/plotly/plotly/validators/volume/colorbar/_title.py
new file mode 100644
index 00000000000..1ca98154748
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_title.py
@@ -0,0 +1,31 @@
+import _plotly_utils.basevalidators
+
+
+class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
+    def __init__(self, plotly_name="title", parent_name="volume.colorbar", **kwargs):
+        super(TitleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Title"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            font
+                Sets this color bar's title font. Note that the
+                title's font used to be set by the now
+                deprecated `titlefont` attribute.
+            side
+                Determines the location of color bar's title
+                with respect to the color bar. Note that the
+                title's location used to be set by the now
+                deprecated `titleside` attribute.
+            text
+                Sets the title of the color bar. Note that
+                before the existence of `title.text`, the
+                title's contents used to be defined as the
+                `title` attribute itself. This behavior has
+                been deprecated.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_x.py b/packages/python/plotly/plotly/validators/volume/colorbar/_x.py
new file mode 100644
index 00000000000..3d9f8a75bcf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="volume.colorbar", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_xanchor.py b/packages/python/plotly/plotly/validators/volume/colorbar/_xanchor.py
new file mode 100644
index 00000000000..1de6bdefc56
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_xanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="xanchor", parent_name="volume.colorbar", **kwargs):
+        super(XanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "center", "right"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_xpad.py b/packages/python/plotly/plotly/validators/volume/colorbar/_xpad.py
new file mode 100644
index 00000000000..249f0f10af4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_xpad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="xpad", parent_name="volume.colorbar", **kwargs):
+        super(XpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_y.py b/packages/python/plotly/plotly/validators/volume/colorbar/_y.py
new file mode 100644
index 00000000000..b1aac86aa3d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="volume.colorbar", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 3),
+            min=kwargs.pop("min", -2),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_yanchor.py b/packages/python/plotly/plotly/validators/volume/colorbar/_yanchor.py
new file mode 100644
index 00000000000..a4ccc7e17f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_yanchor.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="yanchor", parent_name="volume.colorbar", **kwargs):
+        super(YanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["top", "middle", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/_ypad.py b/packages/python/plotly/plotly/validators/volume/colorbar/_ypad.py
new file mode 100644
index 00000000000..8c524d813ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/_ypad.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ypad", parent_name="volume.colorbar", **kwargs):
+        super(YpadValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/__init__.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/__init__.py
index 33e93d9761c..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="volume.colorbar.tickfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="volume.colorbar.tickfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="volume.colorbar.tickfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_color.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_color.py
new file mode 100644
index 00000000000..63b7a0eaf3e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="volume.colorbar.tickfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_family.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_family.py
new file mode 100644
index 00000000000..0d479828f11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="volume.colorbar.tickfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_size.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_size.py
new file mode 100644
index 00000000000..2492811ecee
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickfont/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="volume.colorbar.tickfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/__init__.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/__init__.py
index b149cd24034..9221b8da1d0 100644
--- a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/__init__.py
@@ -1,97 +1,22 @@
-import _plotly_utils.basevalidators
-
-
-class ValueValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="value",
-        parent_name="volume.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(ValueValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self,
-        plotly_name="templateitemname",
-        parent_name="volume.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(TemplateitemnameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="name", parent_name="volume.colorbar.tickformatstop", **kwargs
-    ):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self,
-        plotly_name="enabled",
-        parent_name="volume.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(EnabledValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
-    def __init__(
-        self,
-        plotly_name="dtickrange",
-        parent_name="volume.colorbar.tickformatstop",
-        **kwargs
-    ):
-        super(DtickrangeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            items=kwargs.pop(
-                "items",
-                [
-                    {"valType": "any", "editType": "calc"},
-                    {"valType": "any", "editType": "calc"},
-                ],
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._value import ValueValidator
+    from ._templateitemname import TemplateitemnameValidator
+    from ._name import NameValidator
+    from ._enabled import EnabledValidator
+    from ._dtickrange import DtickrangeValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._value.ValueValidator",
+            "._templateitemname.TemplateitemnameValidator",
+            "._name.NameValidator",
+            "._enabled.EnabledValidator",
+            "._dtickrange.DtickrangeValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_dtickrange.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_dtickrange.py
new file mode 100644
index 00000000000..05788f3d0f3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_dtickrange.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
+    def __init__(
+        self,
+        plotly_name="dtickrange",
+        parent_name="volume.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(DtickrangeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            items=kwargs.pop(
+                "items",
+                [
+                    {"valType": "any", "editType": "calc"},
+                    {"valType": "any", "editType": "calc"},
+                ],
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_enabled.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_enabled.py
new file mode 100644
index 00000000000..7aa4679db47
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_enabled.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self,
+        plotly_name="enabled",
+        parent_name="volume.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(EnabledValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_name.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_name.py
new file mode 100644
index 00000000000..2d2d5e5ce17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_name.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="name", parent_name="volume.colorbar.tickformatstop", **kwargs
+    ):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_templateitemname.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_templateitemname.py
new file mode 100644
index 00000000000..6c7e1a6b136
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_templateitemname.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="templateitemname",
+        parent_name="volume.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(TemplateitemnameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_value.py b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_value.py
new file mode 100644
index 00000000000..878193fe946
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/tickformatstop/_value.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class ValueValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self,
+        plotly_name="value",
+        parent_name="volume.colorbar.tickformatstop",
+        **kwargs
+    ):
+        super(ValueValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/__init__.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/__init__.py
index 57cb835e0d4..7835223fe16 100644
--- a/packages/python/plotly/plotly/validators/volume/colorbar/title/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/__init__.py
@@ -1,72 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="text", parent_name="volume.colorbar.title", **kwargs
-    ):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="side", parent_name="volume.colorbar.title", **kwargs
-    ):
-        super(SideValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["right", "top", "bottom"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="volume.colorbar.title", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            size
-
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._text import TextValidator
+    from ._side import SideValidator
+    from ._font import FontValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._text.TextValidator", "._side.SideValidator", "._font.FontValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/_font.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/_font.py
new file mode 100644
index 00000000000..a1e90f8c7c0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/_font.py
@@ -0,0 +1,39 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="volume.colorbar.title", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            size
+
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/_side.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/_side.py
new file mode 100644
index 00000000000..47d97137fba
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/_side.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="side", parent_name="volume.colorbar.title", **kwargs
+    ):
+        super(SideValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["right", "top", "bottom"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/_text.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/_text.py
new file mode 100644
index 00000000000..e3cffe70136
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/_text.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="text", parent_name="volume.colorbar.title", **kwargs
+    ):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/font/__init__.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/__init__.py
index ef0c61ecac7..8db13cd0286 100644
--- a/packages/python/plotly/plotly/validators/volume/colorbar/title/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/__init__.py
@@ -1,49 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="volume.colorbar.title.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="volume.colorbar.title.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="volume.colorbar.title.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._size import SizeValidator
+    from ._family import FamilyValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_color.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_color.py
new file mode 100644
index 00000000000..7e24a9e2a55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="volume.colorbar.title.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_family.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_family.py
new file mode 100644
index 00000000000..67224e1d9c8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_family.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="volume.colorbar.title.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_size.py b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_size.py
new file mode 100644
index 00000000000..8e12d07ff10
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/colorbar/title/font/_size.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="volume.colorbar.title.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/contour/__init__.py b/packages/python/plotly/plotly/validators/volume/contour/__init__.py
index b71dcff45ac..e59b78ead51 100644
--- a/packages/python/plotly/plotly/validators/volume/contour/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/contour/__init__.py
@@ -1,42 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="volume.contour", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 16),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.contour", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="volume.contour", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._show import ShowValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._show.ShowValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/contour/_color.py b/packages/python/plotly/plotly/validators/volume/contour/_color.py
new file mode 100644
index 00000000000..96ede4f0c42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/contour/_color.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="volume.contour", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/contour/_show.py b/packages/python/plotly/plotly/validators/volume/contour/_show.py
new file mode 100644
index 00000000000..876f83d60c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/contour/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.contour", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/contour/_width.py b/packages/python/plotly/plotly/validators/volume/contour/_width.py
new file mode 100644
index 00000000000..d0404c1acfd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/contour/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="volume.contour", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 16),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/__init__.py
index cace5e7d7c4..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/volume/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/__init__.py
@@ -1,178 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="font", parent_name="volume.hoverlabel", **kwargs):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="volume.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="align", parent_name="volume.hoverlabel", **kwargs):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_align.py
new file mode 100644
index 00000000000..7416e8c4551
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_align.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="align", parent_name="volume.hoverlabel", **kwargs):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..72e73683ef8
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..81a8a79c4fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..ee0dfd41d45
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..88fe57386ec
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..9571476078f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_font.py
new file mode 100644
index 00000000000..84203e9fc9f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_font.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="font", parent_name="volume.hoverlabel", **kwargs):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..23ef553f3af
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..e5ae6f2e1a7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="volume.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/__init__.py
index 0c467d402e6..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="volume.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="volume.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="volume.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="volume.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="volume.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="volume.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..f0f4d102f91
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="volume.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..8cb0eb8d98f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="volume.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..d7143048265
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="volume.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..e4e964ae5b2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="volume.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..40fec5f636b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="volume.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..022fe9f10e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="volume.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/__init__.py b/packages/python/plotly/plotly/validators/volume/lighting/__init__.py
index 84c3cc29867..12f1cf66154 100644
--- a/packages/python/plotly/plotly/validators/volume/lighting/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/lighting/__init__.py
@@ -1,119 +1,26 @@
-import _plotly_utils.basevalidators
-
-
-class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="vertexnormalsepsilon",
-        parent_name="volume.lighting",
-        **kwargs
-    ):
-        super(VertexnormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="specular", parent_name="volume.lighting", **kwargs):
-        super(SpecularValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 2),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="roughness", parent_name="volume.lighting", **kwargs
-    ):
-        super(RoughnessValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fresnel", parent_name="volume.lighting", **kwargs):
-        super(FresnelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 5),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="facenormalsepsilon", parent_name="volume.lighting", **kwargs
-    ):
-        super(FacenormalsepsilonValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="diffuse", parent_name="volume.lighting", **kwargs):
-        super(DiffuseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="ambient", parent_name="volume.lighting", **kwargs):
-        super(AmbientValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._vertexnormalsepsilon import VertexnormalsepsilonValidator
+    from ._specular import SpecularValidator
+    from ._roughness import RoughnessValidator
+    from ._fresnel import FresnelValidator
+    from ._facenormalsepsilon import FacenormalsepsilonValidator
+    from ._diffuse import DiffuseValidator
+    from ._ambient import AmbientValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._vertexnormalsepsilon.VertexnormalsepsilonValidator",
+            "._specular.SpecularValidator",
+            "._roughness.RoughnessValidator",
+            "._fresnel.FresnelValidator",
+            "._facenormalsepsilon.FacenormalsepsilonValidator",
+            "._diffuse.DiffuseValidator",
+            "._ambient.AmbientValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_ambient.py b/packages/python/plotly/plotly/validators/volume/lighting/_ambient.py
new file mode 100644
index 00000000000..014bdc7e11c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_ambient.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="ambient", parent_name="volume.lighting", **kwargs):
+        super(AmbientValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_diffuse.py b/packages/python/plotly/plotly/validators/volume/lighting/_diffuse.py
new file mode 100644
index 00000000000..ae8e05e1f5f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_diffuse.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="diffuse", parent_name="volume.lighting", **kwargs):
+        super(DiffuseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_facenormalsepsilon.py b/packages/python/plotly/plotly/validators/volume/lighting/_facenormalsepsilon.py
new file mode 100644
index 00000000000..b611cd3514f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_facenormalsepsilon.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class FacenormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="facenormalsepsilon", parent_name="volume.lighting", **kwargs
+    ):
+        super(FacenormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_fresnel.py b/packages/python/plotly/plotly/validators/volume/lighting/_fresnel.py
new file mode 100644
index 00000000000..bf63ad86f7b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_fresnel.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fresnel", parent_name="volume.lighting", **kwargs):
+        super(FresnelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 5),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_roughness.py b/packages/python/plotly/plotly/validators/volume/lighting/_roughness.py
new file mode 100644
index 00000000000..3965815b86d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_roughness.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class RoughnessValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="roughness", parent_name="volume.lighting", **kwargs
+    ):
+        super(RoughnessValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_specular.py b/packages/python/plotly/plotly/validators/volume/lighting/_specular.py
new file mode 100644
index 00000000000..761af6b9d11
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_specular.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="specular", parent_name="volume.lighting", **kwargs):
+        super(SpecularValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 2),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lighting/_vertexnormalsepsilon.py b/packages/python/plotly/plotly/validators/volume/lighting/_vertexnormalsepsilon.py
new file mode 100644
index 00000000000..68fad742098
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lighting/_vertexnormalsepsilon.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class VertexnormalsepsilonValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="vertexnormalsepsilon",
+        parent_name="volume.lighting",
+        **kwargs
+    ):
+        super(VertexnormalsepsilonValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lightposition/__init__.py b/packages/python/plotly/plotly/validators/volume/lightposition/__init__.py
index d9aec15a210..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/volume/lightposition/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/lightposition/__init__.py
@@ -1,46 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="z", parent_name="volume.lightposition", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="y", parent_name="volume.lightposition", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="x", parent_name="volume.lightposition", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 100000),
-            min=kwargs.pop("min", -100000),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/lightposition/_x.py b/packages/python/plotly/plotly/validators/volume/lightposition/_x.py
new file mode 100644
index 00000000000..b76eab9a3f1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lightposition/_x.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="x", parent_name="volume.lightposition", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lightposition/_y.py b/packages/python/plotly/plotly/validators/volume/lightposition/_y.py
new file mode 100644
index 00000000000..ba89bdccfc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lightposition/_y.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="y", parent_name="volume.lightposition", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/lightposition/_z.py b/packages/python/plotly/plotly/validators/volume/lightposition/_z.py
new file mode 100644
index 00000000000..fb3d7b7f602
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/lightposition/_z.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="z", parent_name="volume.lightposition", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 100000),
+            min=kwargs.pop("min", -100000),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/__init__.py b/packages/python/plotly/plotly/validators/volume/slices/__init__.py
index 37a186e40d2..6565993f47a 100644
--- a/packages/python/plotly/plotly/validators/volume/slices/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/slices/__init__.py
@@ -1,106 +1,12 @@
-import _plotly_utils.basevalidators
-
-
-class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="z", parent_name="volume.slices", **kwargs):
-        super(ZValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Z"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `slices`. The
-                default fill value of the `slices` is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            locations
-                Specifies the location(s) of slices on the
-                axis. When not specified slices would be
-                created for all points of the axis z except
-                start and end.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            show
-                Determines whether or not slice planes about
-                the z dimension are drawn.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="y", parent_name="volume.slices", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Y"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `slices`. The
-                default fill value of the `slices` is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            locations
-                Specifies the location(s) of slices on the
-                axis. When not specified slices would be
-                created for all points of the axis y except
-                start and end.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            show
-                Determines whether or not slice planes about
-                the y dimension are drawn.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="x", parent_name="volume.slices", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "X"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            fill
-                Sets the fill ratio of the `slices`. The
-                default fill value of the `slices` is 1 meaning
-                that they are entirely shaded. On the other
-                hand Applying a `fill` ratio less than one
-                would allow the creation of openings parallel
-                to the edges.
-            locations
-                Specifies the location(s) of slices on the
-                axis. When not specified slices would be
-                created for all points of the axis x except
-                start and end.
-            locationssrc
-                Sets the source reference on Chart Studio Cloud
-                for  locations .
-            show
-                Determines whether or not slice planes about
-                the x dimension are drawn.
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._z import ZValidator
+    from ._y import YValidator
+    from ._x import XValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/_x.py b/packages/python/plotly/plotly/validators/volume/slices/_x.py
new file mode 100644
index 00000000000..7c12577ecf5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/_x.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="x", parent_name="volume.slices", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "X"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `slices`. The
+                default fill value of the `slices` is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            locations
+                Specifies the location(s) of slices on the
+                axis. When not specified slices would be
+                created for all points of the axis x except
+                start and end.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            show
+                Determines whether or not slice planes about
+                the x dimension are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/_y.py b/packages/python/plotly/plotly/validators/volume/slices/_y.py
new file mode 100644
index 00000000000..ee3e2e50e17
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/_y.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="y", parent_name="volume.slices", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Y"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `slices`. The
+                default fill value of the `slices` is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            locations
+                Specifies the location(s) of slices on the
+                axis. When not specified slices would be
+                created for all points of the axis y except
+                start and end.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            show
+                Determines whether or not slice planes about
+                the y dimension are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/_z.py b/packages/python/plotly/plotly/validators/volume/slices/_z.py
new file mode 100644
index 00000000000..3bcdb667ffa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/_z.py
@@ -0,0 +1,34 @@
+import _plotly_utils.basevalidators
+
+
+class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="z", parent_name="volume.slices", **kwargs):
+        super(ZValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Z"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            fill
+                Sets the fill ratio of the `slices`. The
+                default fill value of the `slices` is 1 meaning
+                that they are entirely shaded. On the other
+                hand Applying a `fill` ratio less than one
+                would allow the creation of openings parallel
+                to the edges.
+            locations
+                Specifies the location(s) of slices on the
+                axis. When not specified slices would be
+                created for all points of the axis z except
+                start and end.
+            locationssrc
+                Sets the source reference on Chart Studio Cloud
+                for  locations .
+            show
+                Determines whether or not slice planes about
+                the z dimension are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/x/__init__.py b/packages/python/plotly/plotly/validators/volume/slices/x/__init__.py
index fca611fe232..164bbaf02df 100644
--- a/packages/python/plotly/plotly/validators/volume/slices/x/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/slices/x/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.slices.x", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="volume.slices.x", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="volume.slices.x", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.slices.x", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._fill.FillValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/x/_fill.py b/packages/python/plotly/plotly/validators/volume/slices/x/_fill.py
new file mode 100644
index 00000000000..3271a78fa21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/x/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.slices.x", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/x/_locations.py b/packages/python/plotly/plotly/validators/volume/slices/x/_locations.py
new file mode 100644
index 00000000000..441012483b1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/x/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="volume.slices.x", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/x/_locationssrc.py b/packages/python/plotly/plotly/validators/volume/slices/x/_locationssrc.py
new file mode 100644
index 00000000000..d093a376d6c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/x/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="volume.slices.x", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/x/_show.py b/packages/python/plotly/plotly/validators/volume/slices/x/_show.py
new file mode 100644
index 00000000000..d96c4ed83ea
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/x/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.slices.x", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/y/__init__.py b/packages/python/plotly/plotly/validators/volume/slices/y/__init__.py
index 26ebf4f5c52..164bbaf02df 100644
--- a/packages/python/plotly/plotly/validators/volume/slices/y/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/slices/y/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.slices.y", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="volume.slices.y", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="volume.slices.y", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.slices.y", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._fill.FillValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/y/_fill.py b/packages/python/plotly/plotly/validators/volume/slices/y/_fill.py
new file mode 100644
index 00000000000..cce00fb52fa
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/y/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.slices.y", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/y/_locations.py b/packages/python/plotly/plotly/validators/volume/slices/y/_locations.py
new file mode 100644
index 00000000000..dc9be9c7576
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/y/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="volume.slices.y", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/y/_locationssrc.py b/packages/python/plotly/plotly/validators/volume/slices/y/_locationssrc.py
new file mode 100644
index 00000000000..3d50208c5c4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/y/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="volume.slices.y", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/y/_show.py b/packages/python/plotly/plotly/validators/volume/slices/y/_show.py
new file mode 100644
index 00000000000..08195a9e375
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/y/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.slices.y", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/z/__init__.py b/packages/python/plotly/plotly/validators/volume/slices/z/__init__.py
index b1901ae59a3..164bbaf02df 100644
--- a/packages/python/plotly/plotly/validators/volume/slices/z/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/slices/z/__init__.py
@@ -1,60 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.slices.z", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="locationssrc", parent_name="volume.slices.z", **kwargs
-    ):
-        super(LocationssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(
-        self, plotly_name="locations", parent_name="volume.slices.z", **kwargs
-    ):
-        super(LocationsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.slices.z", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._locationssrc import LocationssrcValidator
+    from ._locations import LocationsValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._locationssrc.LocationssrcValidator",
+            "._locations.LocationsValidator",
+            "._fill.FillValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/z/_fill.py b/packages/python/plotly/plotly/validators/volume/slices/z/_fill.py
new file mode 100644
index 00000000000..8e3b1e56265
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/z/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.slices.z", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/z/_locations.py b/packages/python/plotly/plotly/validators/volume/slices/z/_locations.py
new file mode 100644
index 00000000000..a2899fad6ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/z/_locations.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(
+        self, plotly_name="locations", parent_name="volume.slices.z", **kwargs
+    ):
+        super(LocationsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/z/_locationssrc.py b/packages/python/plotly/plotly/validators/volume/slices/z/_locationssrc.py
new file mode 100644
index 00000000000..1f3e54c41e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/z/_locationssrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class LocationssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="locationssrc", parent_name="volume.slices.z", **kwargs
+    ):
+        super(LocationssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/slices/z/_show.py b/packages/python/plotly/plotly/validators/volume/slices/z/_show.py
new file mode 100644
index 00000000000..be1c7f42929
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/slices/z/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.slices.z", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/spaceframe/__init__.py b/packages/python/plotly/plotly/validators/volume/spaceframe/__init__.py
index a2667c0b35a..a83bc4511ea 100644
--- a/packages/python/plotly/plotly/validators/volume/spaceframe/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/spaceframe/__init__.py
@@ -1,28 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._fill import FillValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.spaceframe", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.spaceframe", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/spaceframe/_fill.py b/packages/python/plotly/plotly/validators/volume/spaceframe/_fill.py
new file mode 100644
index 00000000000..7c5bf2f672c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/spaceframe/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.spaceframe", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/spaceframe/_show.py b/packages/python/plotly/plotly/validators/volume/spaceframe/_show.py
new file mode 100644
index 00000000000..f36c14f69eb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/spaceframe/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.spaceframe", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/stream/__init__.py b/packages/python/plotly/plotly/validators/volume/stream/__init__.py
index f1e0185b61f..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/volume/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/stream/__init__.py
@@ -1,30 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="volume.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="maxpoints", parent_name="volume.stream", **kwargs):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/volume/stream/_maxpoints.py
new file mode 100644
index 00000000000..fe4ff47214a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/stream/_maxpoints.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="maxpoints", parent_name="volume.stream", **kwargs):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/stream/_token.py b/packages/python/plotly/plotly/validators/volume/stream/_token.py
new file mode 100644
index 00000000000..41e68b15ac7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="volume.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/surface/__init__.py b/packages/python/plotly/plotly/validators/volume/surface/__init__.py
index f4cb08717b0..c75d5c08248 100644
--- a/packages/python/plotly/plotly/validators/volume/surface/__init__.py
+++ b/packages/python/plotly/plotly/validators/volume/surface/__init__.py
@@ -1,59 +1,20 @@
-import _plotly_utils.basevalidators
-
-
-class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="show", parent_name="volume.surface", **kwargs):
-        super(ShowValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class PatternValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="pattern", parent_name="volume.surface", **kwargs):
-        super(PatternValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            extras=kwargs.pop("extras", ["all", "odd", "even"]),
-            flags=kwargs.pop("flags", ["A", "B", "C", "D", "E"]),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FillValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="fill", parent_name="volume.surface", **kwargs):
-        super(FillValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CountValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(self, plotly_name="count", parent_name="volume.surface", **kwargs):
-        super(CountValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._show import ShowValidator
+    from ._pattern import PatternValidator
+    from ._fill import FillValidator
+    from ._count import CountValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._show.ShowValidator",
+            "._pattern.PatternValidator",
+            "._fill.FillValidator",
+            "._count.CountValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/volume/surface/_count.py b/packages/python/plotly/plotly/validators/volume/surface/_count.py
new file mode 100644
index 00000000000..e243e7c1705
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/surface/_count.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class CountValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(self, plotly_name="count", parent_name="volume.surface", **kwargs):
+        super(CountValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/surface/_fill.py b/packages/python/plotly/plotly/validators/volume/surface/_fill.py
new file mode 100644
index 00000000000..ab03c79b3a3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/surface/_fill.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FillValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="fill", parent_name="volume.surface", **kwargs):
+        super(FillValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/surface/_pattern.py b/packages/python/plotly/plotly/validators/volume/surface/_pattern.py
new file mode 100644
index 00000000000..cdcdb421adb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/surface/_pattern.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class PatternValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="pattern", parent_name="volume.surface", **kwargs):
+        super(PatternValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            extras=kwargs.pop("extras", ["all", "odd", "even"]),
+            flags=kwargs.pop("flags", ["A", "B", "C", "D", "E"]),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/volume/surface/_show.py b/packages/python/plotly/plotly/validators/volume/surface/_show.py
new file mode 100644
index 00000000000..150df37e6e3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/volume/surface/_show.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="show", parent_name="volume.surface", **kwargs):
+        super(ShowValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/__init__.py b/packages/python/plotly/plotly/validators/waterfall/__init__.py
index 519ef776519..b1423f8573f 100644
--- a/packages/python/plotly/plotly/validators/waterfall/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/__init__.py
@@ -1,1065 +1,132 @@
-import _plotly_utils.basevalidators
-
-
-class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="ysrc", parent_name="waterfall", **kwargs):
-        super(YsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="yaxis", parent_name="waterfall", **kwargs):
-        super(YAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "y"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="y0", parent_name="waterfall", **kwargs):
-        super(Y0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="y", parent_name="waterfall", **kwargs):
-        super(YValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="xsrc", parent_name="waterfall", **kwargs):
-        super(XsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
-    def __init__(self, plotly_name="xaxis", parent_name="waterfall", **kwargs):
-        super(XAxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            dflt=kwargs.pop("dflt", "x"),
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class X0Validator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="x0", parent_name="waterfall", **kwargs):
-        super(X0Validator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="x", parent_name="waterfall", **kwargs):
-        super(XValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="widthsrc", parent_name="waterfall", **kwargs):
-        super(WidthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="width", parent_name="waterfall", **kwargs):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="visible", parent_name="waterfall", **kwargs):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", [True, False, "legendonly"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="uirevision", parent_name="waterfall", **kwargs):
-        super(UirevisionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class UidValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="uid", parent_name="waterfall", **kwargs):
-        super(UidValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TotalsValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="totals", parent_name="waterfall", **kwargs):
-        super(TotalsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Totals"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.waterfall.totals.M
-                arker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="texttemplatesrc", parent_name="waterfall", **kwargs
-    ):
-        super(TexttemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="texttemplate", parent_name="waterfall", **kwargs):
-        super(TexttemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="textsrc", parent_name="waterfall", **kwargs):
-        super(TextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="textpositionsrc", parent_name="waterfall", **kwargs
-    ):
-        super(TextpositionsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="textposition", parent_name="waterfall", **kwargs):
-        super(TextpositionValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="textinfo", parent_name="waterfall", **kwargs):
-        super(TextinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            extras=kwargs.pop("extras", ["none"]),
-            flags=kwargs.pop("flags", ["label", "text", "initial", "delta", "final"]),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="textfont", parent_name="waterfall", **kwargs):
-        super(TextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Textfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
-    def __init__(self, plotly_name="textangle", parent_name="waterfall", **kwargs):
-        super(TextangleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class TextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="text", parent_name="waterfall", **kwargs):
-        super(TextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="stream", parent_name="waterfall", **kwargs):
-        super(StreamValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Stream"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            maxpoints
-                Sets the maximum number of points to keep on
-                the plots from an incoming stream. If
-                `maxpoints` is set to 50, only the newest 50
-                points will be displayed on the plot.
-            token
-                The stream id number links a data trace on a
-                plot with a stream. See https://chart-
-                studio.plotly.com/settings for more details.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="showlegend", parent_name="waterfall", **kwargs):
-        super(ShowlegendValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="selectedpoints", parent_name="waterfall", **kwargs):
-        super(SelectedpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="outsidetextfont", parent_name="waterfall", **kwargs
-    ):
-        super(OutsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="orientation", parent_name="waterfall", **kwargs):
-        super(OrientationValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["v", "h"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="opacity", parent_name="waterfall", **kwargs):
-        super(OpacityValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            max=kwargs.pop("max", 1),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="offsetsrc", parent_name="waterfall", **kwargs):
-        super(OffsetsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="offsetgroup", parent_name="waterfall", **kwargs):
-        super(OffsetgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="offset", parent_name="waterfall", **kwargs):
-        super(OffsetValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NameValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="name", parent_name="waterfall", **kwargs):
-        super(NameValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="metasrc", parent_name="waterfall", **kwargs):
-        super(MetasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
-    def __init__(self, plotly_name="meta", parent_name="waterfall", **kwargs):
-        super(MetaValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MeasuresrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="measuresrc", parent_name="waterfall", **kwargs):
-        super(MeasuresrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MeasureValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="measure", parent_name="waterfall", **kwargs):
-        super(MeasureValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="legendgroup", parent_name="waterfall", **kwargs):
-        super(LegendgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="insidetextfont", parent_name="waterfall", **kwargs):
-        super(InsidetextfontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="insidetextanchor", parent_name="waterfall", **kwargs
-    ):
-        super(InsidetextanchorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["end", "middle", "start"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="increasing", parent_name="waterfall", **kwargs):
-        super(IncreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Increasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.waterfall.increasi
-                ng.Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="idssrc", parent_name="waterfall", **kwargs):
-        super(IdssrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="ids", parent_name="waterfall", **kwargs):
-        super(IdsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hovertextsrc", parent_name="waterfall", **kwargs):
-        super(HovertextsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertext", parent_name="waterfall", **kwargs):
-        super(HovertextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="hovertemplatesrc", parent_name="waterfall", **kwargs
-    ):
-        super(HovertemplatesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="hovertemplate", parent_name="waterfall", **kwargs):
-        super(HovertemplateValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="hoverlabel", parent_name="waterfall", **kwargs):
-        super(HoverlabelValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            align
-                Sets the horizontal alignment of the text
-                content within hover label box. Has an effect
-                only if the hover label text spans more two or
-                more lines
-            alignsrc
-                Sets the source reference on Chart Studio Cloud
-                for  align .
-            bgcolor
-                Sets the background color of the hover labels
-                for this trace
-            bgcolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bgcolor .
-            bordercolor
-                Sets the border color of the hover labels for
-                this trace.
-            bordercolorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  bordercolor .
-            font
-                Sets the font used in hover labels.
-            namelength
-                Sets the default length (in number of
-                characters) of the trace name in the hover
-                labels for all traces. -1 shows the whole name
-                regardless of length. 0-3 shows the first 0-3
-                characters, and an integer >3 will show the
-                whole name if it is less than that many
-                characters, but if it is longer, will truncate
-                to `namelength - 3` characters and add an
-                ellipsis.
-            namelengthsrc
-                Sets the source reference on Chart Studio Cloud
-                for  namelength .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="hoverinfosrc", parent_name="waterfall", **kwargs):
-        super(HoverinfosrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
-    def __init__(self, plotly_name="hoverinfo", parent_name="waterfall", **kwargs):
-        super(HoverinfoValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            extras=kwargs.pop("extras", ["all", "none", "skip"]),
-            flags=kwargs.pop(
-                "flags", ["name", "x", "y", "text", "initial", "delta", "final"]
-            ),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DyValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dy", parent_name="waterfall", **kwargs):
-        super(DyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DxValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="dx", parent_name="waterfall", **kwargs):
-        super(DxValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="decreasing", parent_name="waterfall", **kwargs):
-        super(DecreasingValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            marker
-                :class:`plotly.graph_objects.waterfall.decreasi
-                ng.Marker` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(self, plotly_name="customdatasrc", parent_name="waterfall", **kwargs):
-        super(CustomdatasrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
-    def __init__(self, plotly_name="customdata", parent_name="waterfall", **kwargs):
-        super(CustomdataValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "data"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="constraintext", parent_name="waterfall", **kwargs):
-        super(ConstraintextValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ConnectorValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="connector", parent_name="waterfall", **kwargs):
-        super(ConnectorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Connector"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            line
-                :class:`plotly.graph_objects.waterfall.connecto
-                r.Line` instance or dict with compatible
-                properties
-            mode
-                Sets the shape of connector lines.
-            visible
-                Determines if connector lines are drawn.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(self, plotly_name="cliponaxis", parent_name="waterfall", **kwargs):
-        super(CliponaxisValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BaseValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="base", parent_name="waterfall", **kwargs):
-        super(BaseValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="alignmentgroup", parent_name="waterfall", **kwargs):
-        super(AlignmentgroupValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._ysrc import YsrcValidator
+    from ._yaxis import YaxisValidator
+    from ._y0 import Y0Validator
+    from ._y import YValidator
+    from ._xsrc import XsrcValidator
+    from ._xaxis import XaxisValidator
+    from ._x0 import X0Validator
+    from ._x import XValidator
+    from ._widthsrc import WidthsrcValidator
+    from ._width import WidthValidator
+    from ._visible import VisibleValidator
+    from ._uirevision import UirevisionValidator
+    from ._uid import UidValidator
+    from ._totals import TotalsValidator
+    from ._texttemplatesrc import TexttemplatesrcValidator
+    from ._texttemplate import TexttemplateValidator
+    from ._textsrc import TextsrcValidator
+    from ._textpositionsrc import TextpositionsrcValidator
+    from ._textposition import TextpositionValidator
+    from ._textinfo import TextinfoValidator
+    from ._textfont import TextfontValidator
+    from ._textangle import TextangleValidator
+    from ._text import TextValidator
+    from ._stream import StreamValidator
+    from ._showlegend import ShowlegendValidator
+    from ._selectedpoints import SelectedpointsValidator
+    from ._outsidetextfont import OutsidetextfontValidator
+    from ._orientation import OrientationValidator
+    from ._opacity import OpacityValidator
+    from ._offsetsrc import OffsetsrcValidator
+    from ._offsetgroup import OffsetgroupValidator
+    from ._offset import OffsetValidator
+    from ._name import NameValidator
+    from ._metasrc import MetasrcValidator
+    from ._meta import MetaValidator
+    from ._measuresrc import MeasuresrcValidator
+    from ._measure import MeasureValidator
+    from ._legendgroup import LegendgroupValidator
+    from ._insidetextfont import InsidetextfontValidator
+    from ._insidetextanchor import InsidetextanchorValidator
+    from ._increasing import IncreasingValidator
+    from ._idssrc import IdssrcValidator
+    from ._ids import IdsValidator
+    from ._hovertextsrc import HovertextsrcValidator
+    from ._hovertext import HovertextValidator
+    from ._hovertemplatesrc import HovertemplatesrcValidator
+    from ._hovertemplate import HovertemplateValidator
+    from ._hoverlabel import HoverlabelValidator
+    from ._hoverinfosrc import HoverinfosrcValidator
+    from ._hoverinfo import HoverinfoValidator
+    from ._dy import DyValidator
+    from ._dx import DxValidator
+    from ._decreasing import DecreasingValidator
+    from ._customdatasrc import CustomdatasrcValidator
+    from ._customdata import CustomdataValidator
+    from ._constraintext import ConstraintextValidator
+    from ._connector import ConnectorValidator
+    from ._cliponaxis import CliponaxisValidator
+    from ._base import BaseValidator
+    from ._alignmentgroup import AlignmentgroupValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._ysrc.YsrcValidator",
+            "._yaxis.YaxisValidator",
+            "._y0.Y0Validator",
+            "._y.YValidator",
+            "._xsrc.XsrcValidator",
+            "._xaxis.XaxisValidator",
+            "._x0.X0Validator",
+            "._x.XValidator",
+            "._widthsrc.WidthsrcValidator",
+            "._width.WidthValidator",
+            "._visible.VisibleValidator",
+            "._uirevision.UirevisionValidator",
+            "._uid.UidValidator",
+            "._totals.TotalsValidator",
+            "._texttemplatesrc.TexttemplatesrcValidator",
+            "._texttemplate.TexttemplateValidator",
+            "._textsrc.TextsrcValidator",
+            "._textpositionsrc.TextpositionsrcValidator",
+            "._textposition.TextpositionValidator",
+            "._textinfo.TextinfoValidator",
+            "._textfont.TextfontValidator",
+            "._textangle.TextangleValidator",
+            "._text.TextValidator",
+            "._stream.StreamValidator",
+            "._showlegend.ShowlegendValidator",
+            "._selectedpoints.SelectedpointsValidator",
+            "._outsidetextfont.OutsidetextfontValidator",
+            "._orientation.OrientationValidator",
+            "._opacity.OpacityValidator",
+            "._offsetsrc.OffsetsrcValidator",
+            "._offsetgroup.OffsetgroupValidator",
+            "._offset.OffsetValidator",
+            "._name.NameValidator",
+            "._metasrc.MetasrcValidator",
+            "._meta.MetaValidator",
+            "._measuresrc.MeasuresrcValidator",
+            "._measure.MeasureValidator",
+            "._legendgroup.LegendgroupValidator",
+            "._insidetextfont.InsidetextfontValidator",
+            "._insidetextanchor.InsidetextanchorValidator",
+            "._increasing.IncreasingValidator",
+            "._idssrc.IdssrcValidator",
+            "._ids.IdsValidator",
+            "._hovertextsrc.HovertextsrcValidator",
+            "._hovertext.HovertextValidator",
+            "._hovertemplatesrc.HovertemplatesrcValidator",
+            "._hovertemplate.HovertemplateValidator",
+            "._hoverlabel.HoverlabelValidator",
+            "._hoverinfosrc.HoverinfosrcValidator",
+            "._hoverinfo.HoverinfoValidator",
+            "._dy.DyValidator",
+            "._dx.DxValidator",
+            "._decreasing.DecreasingValidator",
+            "._customdatasrc.CustomdatasrcValidator",
+            "._customdata.CustomdataValidator",
+            "._constraintext.ConstraintextValidator",
+            "._connector.ConnectorValidator",
+            "._cliponaxis.CliponaxisValidator",
+            "._base.BaseValidator",
+            "._alignmentgroup.AlignmentgroupValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_alignmentgroup.py b/packages/python/plotly/plotly/validators/waterfall/_alignmentgroup.py
new file mode 100644
index 00000000000..c75d79c1c67
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_alignmentgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="alignmentgroup", parent_name="waterfall", **kwargs):
+        super(AlignmentgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_base.py b/packages/python/plotly/plotly/validators/waterfall/_base.py
new file mode 100644
index 00000000000..364e7dfbd3b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_base.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class BaseValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="base", parent_name="waterfall", **kwargs):
+        super(BaseValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_cliponaxis.py b/packages/python/plotly/plotly/validators/waterfall/_cliponaxis.py
new file mode 100644
index 00000000000..859b38a2276
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_cliponaxis.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="cliponaxis", parent_name="waterfall", **kwargs):
+        super(CliponaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_connector.py b/packages/python/plotly/plotly/validators/waterfall/_connector.py
new file mode 100644
index 00000000000..4822b67c508
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_connector.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class ConnectorValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="connector", parent_name="waterfall", **kwargs):
+        super(ConnectorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Connector"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            line
+                :class:`plotly.graph_objects.waterfall.connecto
+                r.Line` instance or dict with compatible
+                properties
+            mode
+                Sets the shape of connector lines.
+            visible
+                Determines if connector lines are drawn.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_constraintext.py b/packages/python/plotly/plotly/validators/waterfall/_constraintext.py
new file mode 100644
index 00000000000..1cd1428fd82
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_constraintext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="constraintext", parent_name="waterfall", **kwargs):
+        super(ConstraintextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_customdata.py b/packages/python/plotly/plotly/validators/waterfall/_customdata.py
new file mode 100644
index 00000000000..eb0fb7db852
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_customdata.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="customdata", parent_name="waterfall", **kwargs):
+        super(CustomdataValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_customdatasrc.py b/packages/python/plotly/plotly/validators/waterfall/_customdatasrc.py
new file mode 100644
index 00000000000..608330df118
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_customdatasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="customdatasrc", parent_name="waterfall", **kwargs):
+        super(CustomdatasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_decreasing.py b/packages/python/plotly/plotly/validators/waterfall/_decreasing.py
new file mode 100644
index 00000000000..af6eb0e1d8c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_decreasing.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class DecreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="decreasing", parent_name="waterfall", **kwargs):
+        super(DecreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Decreasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.waterfall.decreasi
+                ng.Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_dx.py b/packages/python/plotly/plotly/validators/waterfall/_dx.py
new file mode 100644
index 00000000000..1ded49d7d69
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_dx.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DxValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dx", parent_name="waterfall", **kwargs):
+        super(DxValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_dy.py b/packages/python/plotly/plotly/validators/waterfall/_dy.py
new file mode 100644
index 00000000000..886b1c20bf9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_dy.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class DyValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="dy", parent_name="waterfall", **kwargs):
+        super(DyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hoverinfo.py b/packages/python/plotly/plotly/validators/waterfall/_hoverinfo.py
new file mode 100644
index 00000000000..3c57da3b7e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hoverinfo.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="hoverinfo", parent_name="waterfall", **kwargs):
+        super(HoverinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            extras=kwargs.pop("extras", ["all", "none", "skip"]),
+            flags=kwargs.pop(
+                "flags", ["name", "x", "y", "text", "initial", "delta", "final"]
+            ),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hoverinfosrc.py b/packages/python/plotly/plotly/validators/waterfall/_hoverinfosrc.py
new file mode 100644
index 00000000000..0b0187c672d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hoverinfosrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hoverinfosrc", parent_name="waterfall", **kwargs):
+        super(HoverinfosrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hoverlabel.py b/packages/python/plotly/plotly/validators/waterfall/_hoverlabel.py
new file mode 100644
index 00000000000..66b93336425
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hoverlabel.py
@@ -0,0 +1,51 @@
+import _plotly_utils.basevalidators
+
+
+class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="hoverlabel", parent_name="waterfall", **kwargs):
+        super(HoverlabelValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            align
+                Sets the horizontal alignment of the text
+                content within hover label box. Has an effect
+                only if the hover label text spans more two or
+                more lines
+            alignsrc
+                Sets the source reference on Chart Studio Cloud
+                for  align .
+            bgcolor
+                Sets the background color of the hover labels
+                for this trace
+            bgcolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bgcolor .
+            bordercolor
+                Sets the border color of the hover labels for
+                this trace.
+            bordercolorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  bordercolor .
+            font
+                Sets the font used in hover labels.
+            namelength
+                Sets the default length (in number of
+                characters) of the trace name in the hover
+                labels for all traces. -1 shows the whole name
+                regardless of length. 0-3 shows the first 0-3
+                characters, and an integer >3 will show the
+                whole name if it is less than that many
+                characters, but if it is longer, will truncate
+                to `namelength - 3` characters and add an
+                ellipsis.
+            namelengthsrc
+                Sets the source reference on Chart Studio Cloud
+                for  namelength .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hovertemplate.py b/packages/python/plotly/plotly/validators/waterfall/_hovertemplate.py
new file mode 100644
index 00000000000..240c6f55fcc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hovertemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertemplate", parent_name="waterfall", **kwargs):
+        super(HovertemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hovertemplatesrc.py b/packages/python/plotly/plotly/validators/waterfall/_hovertemplatesrc.py
new file mode 100644
index 00000000000..05b9c5aab01
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hovertemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="hovertemplatesrc", parent_name="waterfall", **kwargs
+    ):
+        super(HovertemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hovertext.py b/packages/python/plotly/plotly/validators/waterfall/_hovertext.py
new file mode 100644
index 00000000000..54c639667df
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hovertext.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="hovertext", parent_name="waterfall", **kwargs):
+        super(HovertextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_hovertextsrc.py b/packages/python/plotly/plotly/validators/waterfall/_hovertextsrc.py
new file mode 100644
index 00000000000..024806e5f2c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_hovertextsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="hovertextsrc", parent_name="waterfall", **kwargs):
+        super(HovertextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_ids.py b/packages/python/plotly/plotly/validators/waterfall/_ids.py
new file mode 100644
index 00000000000..46b89da34e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_ids.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="ids", parent_name="waterfall", **kwargs):
+        super(IdsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_idssrc.py b/packages/python/plotly/plotly/validators/waterfall/_idssrc.py
new file mode 100644
index 00000000000..96e7526d850
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_idssrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="idssrc", parent_name="waterfall", **kwargs):
+        super(IdssrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_increasing.py b/packages/python/plotly/plotly/validators/waterfall/_increasing.py
new file mode 100644
index 00000000000..6389ebc1de4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_increasing.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class IncreasingValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="increasing", parent_name="waterfall", **kwargs):
+        super(IncreasingValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Increasing"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.waterfall.increasi
+                ng.Marker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_insidetextanchor.py b/packages/python/plotly/plotly/validators/waterfall/_insidetextanchor.py
new file mode 100644
index 00000000000..7ff17461c0e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_insidetextanchor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="insidetextanchor", parent_name="waterfall", **kwargs
+    ):
+        super(InsidetextanchorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["end", "middle", "start"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_insidetextfont.py b/packages/python/plotly/plotly/validators/waterfall/_insidetextfont.py
new file mode 100644
index 00000000000..17806a651e5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_insidetextfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="insidetextfont", parent_name="waterfall", **kwargs):
+        super(InsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_legendgroup.py b/packages/python/plotly/plotly/validators/waterfall/_legendgroup.py
new file mode 100644
index 00000000000..1629d005f42
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_legendgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="legendgroup", parent_name="waterfall", **kwargs):
+        super(LegendgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_measure.py b/packages/python/plotly/plotly/validators/waterfall/_measure.py
new file mode 100644
index 00000000000..d3812c27f1f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_measure.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MeasureValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="measure", parent_name="waterfall", **kwargs):
+        super(MeasureValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_measuresrc.py b/packages/python/plotly/plotly/validators/waterfall/_measuresrc.py
new file mode 100644
index 00000000000..9c0f2793d35
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_measuresrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MeasuresrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="measuresrc", parent_name="waterfall", **kwargs):
+        super(MeasuresrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_meta.py b/packages/python/plotly/plotly/validators/waterfall/_meta.py
new file mode 100644
index 00000000000..d91418a6aaf
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_meta.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="meta", parent_name="waterfall", **kwargs):
+        super(MetaValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_metasrc.py b/packages/python/plotly/plotly/validators/waterfall/_metasrc.py
new file mode 100644
index 00000000000..a4bc87d29ac
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_metasrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="metasrc", parent_name="waterfall", **kwargs):
+        super(MetasrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_name.py b/packages/python/plotly/plotly/validators/waterfall/_name.py
new file mode 100644
index 00000000000..d4f4870b01e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_name.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class NameValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="name", parent_name="waterfall", **kwargs):
+        super(NameValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_offset.py b/packages/python/plotly/plotly/validators/waterfall/_offset.py
new file mode 100644
index 00000000000..f4185877722
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_offset.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="offset", parent_name="waterfall", **kwargs):
+        super(OffsetValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_offsetgroup.py b/packages/python/plotly/plotly/validators/waterfall/_offsetgroup.py
new file mode 100644
index 00000000000..690c363cede
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_offsetgroup.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="offsetgroup", parent_name="waterfall", **kwargs):
+        super(OffsetgroupValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_offsetsrc.py b/packages/python/plotly/plotly/validators/waterfall/_offsetsrc.py
new file mode 100644
index 00000000000..2751be1b62c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_offsetsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class OffsetsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="offsetsrc", parent_name="waterfall", **kwargs):
+        super(OffsetsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_opacity.py b/packages/python/plotly/plotly/validators/waterfall/_opacity.py
new file mode 100644
index 00000000000..7dd8e1d2512
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_opacity.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="opacity", parent_name="waterfall", **kwargs):
+        super(OpacityValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            max=kwargs.pop("max", 1),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_orientation.py b/packages/python/plotly/plotly/validators/waterfall/_orientation.py
new file mode 100644
index 00000000000..468b4080629
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_orientation.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="orientation", parent_name="waterfall", **kwargs):
+        super(OrientationValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["v", "h"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_outsidetextfont.py b/packages/python/plotly/plotly/validators/waterfall/_outsidetextfont.py
new file mode 100644
index 00000000000..eda16437a08
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_outsidetextfont.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="outsidetextfont", parent_name="waterfall", **kwargs
+    ):
+        super(OutsidetextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_selectedpoints.py b/packages/python/plotly/plotly/validators/waterfall/_selectedpoints.py
new file mode 100644
index 00000000000..054b1d6a229
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_selectedpoints.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="selectedpoints", parent_name="waterfall", **kwargs):
+        super(SelectedpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_showlegend.py b/packages/python/plotly/plotly/validators/waterfall/_showlegend.py
new file mode 100644
index 00000000000..3090959c607
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_showlegend.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(self, plotly_name="showlegend", parent_name="waterfall", **kwargs):
+        super(ShowlegendValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_stream.py b/packages/python/plotly/plotly/validators/waterfall/_stream.py
new file mode 100644
index 00000000000..2cc4d74d449
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_stream.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="stream", parent_name="waterfall", **kwargs):
+        super(StreamValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Stream"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            maxpoints
+                Sets the maximum number of points to keep on
+                the plots from an incoming stream. If
+                `maxpoints` is set to 50, only the newest 50
+                points will be displayed on the plot.
+            token
+                The stream id number links a data trace on a
+                plot with a stream. See https://chart-
+                studio.plotly.com/settings for more details.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_text.py b/packages/python/plotly/plotly/validators/waterfall/_text.py
new file mode 100644
index 00000000000..b5b6f367e52
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_text.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TextValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="text", parent_name="waterfall", **kwargs):
+        super(TextValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_textangle.py b/packages/python/plotly/plotly/validators/waterfall/_textangle.py
new file mode 100644
index 00000000000..86b1eda62c7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_textangle.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
+    def __init__(self, plotly_name="textangle", parent_name="waterfall", **kwargs):
+        super(TextangleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_textfont.py b/packages/python/plotly/plotly/validators/waterfall/_textfont.py
new file mode 100644
index 00000000000..f6f0a70fb55
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_textfont.py
@@ -0,0 +1,46 @@
+import _plotly_utils.basevalidators
+
+
+class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="textfont", parent_name="waterfall", **kwargs):
+        super(TextfontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Textfont"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_textinfo.py b/packages/python/plotly/plotly/validators/waterfall/_textinfo.py
new file mode 100644
index 00000000000..49eea99e5ce
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_textinfo.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class TextinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
+    def __init__(self, plotly_name="textinfo", parent_name="waterfall", **kwargs):
+        super(TextinfoValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            extras=kwargs.pop("extras", ["none"]),
+            flags=kwargs.pop("flags", ["label", "text", "initial", "delta", "final"]),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_textposition.py b/packages/python/plotly/plotly/validators/waterfall/_textposition.py
new file mode 100644
index 00000000000..c79a1c41ec7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_textposition.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="textposition", parent_name="waterfall", **kwargs):
+        super(TextpositionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_textpositionsrc.py b/packages/python/plotly/plotly/validators/waterfall/_textpositionsrc.py
new file mode 100644
index 00000000000..daa38a336d9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_textpositionsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="textpositionsrc", parent_name="waterfall", **kwargs
+    ):
+        super(TextpositionsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_textsrc.py b/packages/python/plotly/plotly/validators/waterfall/_textsrc.py
new file mode 100644
index 00000000000..691fd4d7356
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_textsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="textsrc", parent_name="waterfall", **kwargs):
+        super(TextsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_texttemplate.py b/packages/python/plotly/plotly/validators/waterfall/_texttemplate.py
new file mode 100644
index 00000000000..6727759562c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_texttemplate.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="texttemplate", parent_name="waterfall", **kwargs):
+        super(TexttemplateValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_texttemplatesrc.py b/packages/python/plotly/plotly/validators/waterfall/_texttemplatesrc.py
new file mode 100644
index 00000000000..84654e7d8cb
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_texttemplatesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TexttemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="texttemplatesrc", parent_name="waterfall", **kwargs
+    ):
+        super(TexttemplatesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_totals.py b/packages/python/plotly/plotly/validators/waterfall/_totals.py
new file mode 100644
index 00000000000..aa862ff96de
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_totals.py
@@ -0,0 +1,20 @@
+import _plotly_utils.basevalidators
+
+
+class TotalsValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="totals", parent_name="waterfall", **kwargs):
+        super(TotalsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Totals"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            marker
+                :class:`plotly.graph_objects.waterfall.totals.M
+                arker` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_uid.py b/packages/python/plotly/plotly/validators/waterfall/_uid.py
new file mode 100644
index 00000000000..9542f2f5103
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_uid.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UidValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="uid", parent_name="waterfall", **kwargs):
+        super(UidValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_uirevision.py b/packages/python/plotly/plotly/validators/waterfall/_uirevision.py
new file mode 100644
index 00000000000..b542914f9da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_uirevision.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="uirevision", parent_name="waterfall", **kwargs):
+        super(UirevisionValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_visible.py b/packages/python/plotly/plotly/validators/waterfall/_visible.py
new file mode 100644
index 00000000000..f72890be66b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_visible.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="visible", parent_name="waterfall", **kwargs):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", [True, False, "legendonly"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_width.py b/packages/python/plotly/plotly/validators/waterfall/_width.py
new file mode 100644
index 00000000000..372d7c450f2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_width.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="width", parent_name="waterfall", **kwargs):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_widthsrc.py b/packages/python/plotly/plotly/validators/waterfall/_widthsrc.py
new file mode 100644
index 00000000000..200d2efbaa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_widthsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="widthsrc", parent_name="waterfall", **kwargs):
+        super(WidthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_x.py b/packages/python/plotly/plotly/validators/waterfall/_x.py
new file mode 100644
index 00000000000..bab4ab5d29f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_x.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="x", parent_name="waterfall", **kwargs):
+        super(XValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_x0.py b/packages/python/plotly/plotly/validators/waterfall/_x0.py
new file mode 100644
index 00000000000..18709c9258b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_x0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class X0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="x0", parent_name="waterfall", **kwargs):
+        super(X0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_xaxis.py b/packages/python/plotly/plotly/validators/waterfall/_xaxis.py
new file mode 100644
index 00000000000..ec07edce873
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_xaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="xaxis", parent_name="waterfall", **kwargs):
+        super(XaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "x"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_xsrc.py b/packages/python/plotly/plotly/validators/waterfall/_xsrc.py
new file mode 100644
index 00000000000..e7efb36bf70
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_xsrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="xsrc", parent_name="waterfall", **kwargs):
+        super(XsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_y.py b/packages/python/plotly/plotly/validators/waterfall/_y.py
new file mode 100644
index 00000000000..61926fc87b4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_y.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
+    def __init__(self, plotly_name="y", parent_name="waterfall", **kwargs):
+        super(YValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "data"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_y0.py b/packages/python/plotly/plotly/validators/waterfall/_y0.py
new file mode 100644
index 00000000000..ca0fffa8ab4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_y0.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
+    def __init__(self, plotly_name="y0", parent_name="waterfall", **kwargs):
+        super(Y0Validator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_yaxis.py b/packages/python/plotly/plotly/validators/waterfall/_yaxis.py
new file mode 100644
index 00000000000..b1924f1454a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_yaxis.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
+    def __init__(self, plotly_name="yaxis", parent_name="waterfall", **kwargs):
+        super(YaxisValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            dflt=kwargs.pop("dflt", "y"),
+            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/_ysrc.py b/packages/python/plotly/plotly/validators/waterfall/_ysrc.py
new file mode 100644
index 00000000000..9e8acdf57c5
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/_ysrc.py
@@ -0,0 +1,12 @@
+import _plotly_utils.basevalidators
+
+
+class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(self, plotly_name="ysrc", parent_name="waterfall", **kwargs):
+        super(YsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/__init__.py b/packages/python/plotly/plotly/validators/waterfall/connector/__init__.py
index 728f902bd04..be6e7598376 100644
--- a/packages/python/plotly/plotly/validators/waterfall/connector/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/__init__.py
@@ -1,56 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
-    def __init__(
-        self, plotly_name="visible", parent_name="waterfall.connector", **kwargs
-    ):
-        super(VisibleValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ModeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(self, plotly_name="mode", parent_name="waterfall.connector", **kwargs):
-        super(ModeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            role=kwargs.pop("role", "info"),
-            values=kwargs.pop("values", ["spanning", "between"]),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="line", parent_name="waterfall.connector", **kwargs):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color.
-            dash
-                Sets the dash style of lines. Set to a dash
-                type string ("solid", "dot", "dash",
-                "longdash", "dashdot", or "longdashdot") or a
-                dash length list in px (eg "5px,10px,2px,2px").
-            width
-                Sets the line width (in px).
-""",
-            ),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._visible import VisibleValidator
+    from ._mode import ModeValidator
+    from ._line import LineValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._visible.VisibleValidator", "._mode.ModeValidator", "._line.LineValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/_line.py b/packages/python/plotly/plotly/validators/waterfall/connector/_line.py
new file mode 100644
index 00000000000..8375e805302
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/_line.py
@@ -0,0 +1,25 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="line", parent_name="waterfall.connector", **kwargs):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color.
+            dash
+                Sets the dash style of lines. Set to a dash
+                type string ("solid", "dot", "dash",
+                "longdash", "dashdot", or "longdashdot") or a
+                dash length list in px (eg "5px,10px,2px,2px").
+            width
+                Sets the line width (in px).
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/_mode.py b/packages/python/plotly/plotly/validators/waterfall/connector/_mode.py
new file mode 100644
index 00000000000..bd3698cea39
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/_mode.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ModeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(self, plotly_name="mode", parent_name="waterfall.connector", **kwargs):
+        super(ModeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            values=kwargs.pop("values", ["spanning", "between"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/_visible.py b/packages/python/plotly/plotly/validators/waterfall/connector/_visible.py
new file mode 100644
index 00000000000..3dea2639bc9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/_visible.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
+    def __init__(
+        self, plotly_name="visible", parent_name="waterfall.connector", **kwargs
+    ):
+        super(VisibleValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/line/__init__.py b/packages/python/plotly/plotly/validators/waterfall/connector/line/__init__.py
index 9720fe0922f..ac8bd485063 100644
--- a/packages/python/plotly/plotly/validators/waterfall/connector/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/line/__init__.py
@@ -1,50 +1,14 @@
-import _plotly_utils.basevalidators
-
-
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="waterfall.connector.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "plot"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class DashValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="dash", parent_name="waterfall.connector.line", **kwargs
-    ):
-        super(DashValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop(
-                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.connector.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._dash import DashValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        ["._width.WidthValidator", "._dash.DashValidator", "._color.ColorValidator"],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/line/_color.py b/packages/python/plotly/plotly/validators/waterfall/connector/line/_color.py
new file mode 100644
index 00000000000..4b382565da2
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/line/_color.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.connector.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/line/_dash.py b/packages/python/plotly/plotly/validators/waterfall/connector/line/_dash.py
new file mode 100644
index 00000000000..bd64073e854
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/line/_dash.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class DashValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="dash", parent_name="waterfall.connector.line", **kwargs
+    ):
+        super(DashValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop(
+                "values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/connector/line/_width.py b/packages/python/plotly/plotly/validators/waterfall/connector/line/_width.py
new file mode 100644
index 00000000000..aff3fef1b8a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/connector/line/_width.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="waterfall.connector.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "plot"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/__init__.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/__init__.py
index 890fc67a9cc..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/waterfall/decreasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/__init__.py
@@ -1,24 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="waterfall.decreasing", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of all decreasing values.
-            line
-                :class:`plotly.graph_objects.waterfall.decreasi
-                ng.marker.Line` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/_marker.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/_marker.py
new file mode 100644
index 00000000000..890fc67a9cc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="waterfall.decreasing", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of all decreasing values.
+            line
+                :class:`plotly.graph_objects.waterfall.decreasi
+                ng.marker.Line` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/__init__.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/__init__.py
index b90db6fffd2..745b673cac1 100644
--- a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/__init__.py
@@ -1,39 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="waterfall.decreasing.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color of all decreasing values.
-            width
-                Sets the line width of all decreasing values.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.decreasing.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/_color.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/_color.py
new file mode 100644
index 00000000000..2a7e839b9d4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.decreasing.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/_line.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/_line.py
new file mode 100644
index 00000000000..c67744fecc3
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/_line.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="waterfall.decreasing.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color of all decreasing values.
+            width
+                Sets the line width of all decreasing values.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/__init__.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/__init__.py
index 0ed26a6f08e..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/__init__.py
@@ -1,39 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="width",
-        parent_name="waterfall.decreasing.marker.line",
-        **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="waterfall.decreasing.marker.line",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/_color.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/_color.py
new file mode 100644
index 00000000000..44b54d224be
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="waterfall.decreasing.marker.line",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/_width.py b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/_width.py
new file mode 100644
index 00000000000..4983b9f75bc
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/decreasing/marker/line/_width.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="width",
+        parent_name="waterfall.decreasing.marker.line",
+        **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/__init__.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/__init__.py
index 0ef92d88168..cd92e825531 100644
--- a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/__init__.py
@@ -1,182 +1,30 @@
-import _plotly_utils.basevalidators
-
-
-class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="namelengthsrc", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(NamelengthsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
-    def __init__(
-        self, plotly_name="namelength", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(NamelengthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", -1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="font", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(FontValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Font"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-
-            colorsrc
-                Sets the source reference on Chart Studio Cloud
-                for  color .
-            family
-                HTML font family - the typeface that will be
-                applied by the web browser. The web browser
-                will only be able to apply a font if it is
-                available on the system which it operates.
-                Provide multiple font families, separated by
-                commas, to indicate the preference in which to
-                apply fonts if they aren't available on the
-                system. The Chart Studio Cloud (at
-                https://chart-studio.plotly.com or on-premise)
-                generates images on a server, where only a
-                select number of fonts are installed and
-                supported. These include "Arial", "Balto",
-                "Courier New", "Droid Sans",, "Droid Serif",
-                "Droid Sans Mono", "Gravitas One", "Old
-                Standard TT", "Open Sans", "Overpass", "PT Sans
-                Narrow", "Raleway", "Times New Roman".
-            familysrc
-                Sets the source reference on Chart Studio Cloud
-                for  family .
-            size
-
-            sizesrc
-                Sets the source reference on Chart Studio Cloud
-                for  size .
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bordercolorsrc", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(BordercolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bordercolor", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(BordercolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="bgcolorsrc", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(BgcolorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="bgcolor", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(BgcolorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="alignsrc", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(AlignsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
-    def __init__(
-        self, plotly_name="align", parent_name="waterfall.hoverlabel", **kwargs
-    ):
-        super(AlignValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            values=kwargs.pop("values", ["left", "right", "auto"]),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._namelengthsrc import NamelengthsrcValidator
+    from ._namelength import NamelengthValidator
+    from ._font import FontValidator
+    from ._bordercolorsrc import BordercolorsrcValidator
+    from ._bordercolor import BordercolorValidator
+    from ._bgcolorsrc import BgcolorsrcValidator
+    from ._bgcolor import BgcolorValidator
+    from ._alignsrc import AlignsrcValidator
+    from ._align import AlignValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._namelengthsrc.NamelengthsrcValidator",
+            "._namelength.NamelengthValidator",
+            "._font.FontValidator",
+            "._bordercolorsrc.BordercolorsrcValidator",
+            "._bordercolor.BordercolorValidator",
+            "._bgcolorsrc.BgcolorsrcValidator",
+            "._bgcolor.BgcolorValidator",
+            "._alignsrc.AlignsrcValidator",
+            "._align.AlignValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_align.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_align.py
new file mode 100644
index 00000000000..46ac8f1e0b6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_align.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
+    def __init__(
+        self, plotly_name="align", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(AlignValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            values=kwargs.pop("values", ["left", "right", "auto"]),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_alignsrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_alignsrc.py
new file mode 100644
index 00000000000..26c098022e1
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_alignsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="alignsrc", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(AlignsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bgcolor.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bgcolor.py
new file mode 100644
index 00000000000..15fb8f179b9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bgcolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bgcolor", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(BgcolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bgcolorsrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bgcolorsrc.py
new file mode 100644
index 00000000000..69019ceda1d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bgcolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bgcolorsrc", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(BgcolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bordercolor.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bordercolor.py
new file mode 100644
index 00000000000..95d9d8247da
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bordercolor.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="bordercolor", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(BordercolorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bordercolorsrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bordercolorsrc.py
new file mode 100644
index 00000000000..a587b4d18fd
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_bordercolorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="bordercolorsrc", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(BordercolorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_font.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_font.py
new file mode 100644
index 00000000000..4eac9b6999b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_font.py
@@ -0,0 +1,48 @@
+import _plotly_utils.basevalidators
+
+
+class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="font", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(FontValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Font"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+
+            colorsrc
+                Sets the source reference on Chart Studio Cloud
+                for  color .
+            family
+                HTML font family - the typeface that will be
+                applied by the web browser. The web browser
+                will only be able to apply a font if it is
+                available on the system which it operates.
+                Provide multiple font families, separated by
+                commas, to indicate the preference in which to
+                apply fonts if they aren't available on the
+                system. The Chart Studio Cloud (at
+                https://chart-studio.plotly.com or on-premise)
+                generates images on a server, where only a
+                select number of fonts are installed and
+                supported. These include "Arial", "Balto",
+                "Courier New", "Droid Sans",, "Droid Serif",
+                "Droid Sans Mono", "Gravitas One", "Old
+                Standard TT", "Open Sans", "Overpass", "PT Sans
+                Narrow", "Raleway", "Times New Roman".
+            familysrc
+                Sets the source reference on Chart Studio Cloud
+                for  family .
+            size
+
+            sizesrc
+                Sets the source reference on Chart Studio Cloud
+                for  size .
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_namelength.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_namelength.py
new file mode 100644
index 00000000000..f0fe1a46bf6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_namelength.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
+    def __init__(
+        self, plotly_name="namelength", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(NamelengthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", -1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_namelengthsrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_namelengthsrc.py
new file mode 100644
index 00000000000..3872a1ccb92
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/_namelengthsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="namelengthsrc", parent_name="waterfall.hoverlabel", **kwargs
+    ):
+        super(NamelengthsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/__init__.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/__init__.py
index 93235710785..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="waterfall.hoverlabel.font", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="waterfall.hoverlabel.font", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="waterfall.hoverlabel.font", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="waterfall.hoverlabel.font", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="waterfall.hoverlabel.font", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.hoverlabel.font", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_color.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_color.py
new file mode 100644
index 00000000000..6730f9a0e76
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.hoverlabel.font", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_colorsrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_colorsrc.py
new file mode 100644
index 00000000000..ca25a6ec679
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="waterfall.hoverlabel.font", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_family.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_family.py
new file mode 100644
index 00000000000..9c969b0776c
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="waterfall.hoverlabel.font", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_familysrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_familysrc.py
new file mode 100644
index 00000000000..8e2b5694895
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="waterfall.hoverlabel.font", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_size.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_size.py
new file mode 100644
index 00000000000..0b539d35f6d
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="waterfall.hoverlabel.font", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "none"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_sizesrc.py b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_sizesrc.py
new file mode 100644
index 00000000000..7683b8f13e6
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/hoverlabel/font/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="waterfall.hoverlabel.font", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/__init__.py b/packages/python/plotly/plotly/validators/waterfall/increasing/__init__.py
index f5a972b8e9a..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/waterfall/increasing/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/__init__.py
@@ -1,24 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="marker", parent_name="waterfall.increasing", **kwargs
-    ):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of all increasing values.
-            line
-                :class:`plotly.graph_objects.waterfall.increasi
-                ng.marker.Line` instance or dict with
-                compatible properties
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/_marker.py b/packages/python/plotly/plotly/validators/waterfall/increasing/_marker.py
new file mode 100644
index 00000000000..f5a972b8e9a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/_marker.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="marker", parent_name="waterfall.increasing", **kwargs
+    ):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of all increasing values.
+            line
+                :class:`plotly.graph_objects.waterfall.increasi
+                ng.marker.Line` instance or dict with
+                compatible properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/__init__.py b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/__init__.py
index 25dfcb2737a..745b673cac1 100644
--- a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/__init__.py
@@ -1,39 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="waterfall.increasing.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color of all increasing values.
-            width
-                Sets the line width of all increasing values.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.increasing.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/_color.py b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/_color.py
new file mode 100644
index 00000000000..bae736ae427
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.increasing.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/_line.py b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/_line.py
new file mode 100644
index 00000000000..fcf1a9cb366
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/_line.py
@@ -0,0 +1,22 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="waterfall.increasing.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color of all increasing values.
+            width
+                Sets the line width of all increasing values.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/__init__.py b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/__init__.py
index f335c3b798f..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/__init__.py
@@ -1,39 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self,
-        plotly_name="width",
-        parent_name="waterfall.increasing.marker.line",
-        **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self,
-        plotly_name="color",
-        parent_name="waterfall.increasing.marker.line",
-        **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/_color.py b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/_color.py
new file mode 100644
index 00000000000..7563bc87fa9
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/_color.py
@@ -0,0 +1,18 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self,
+        plotly_name="color",
+        parent_name="waterfall.increasing.marker.line",
+        **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/_width.py b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/_width.py
new file mode 100644
index 00000000000..80f8e4bf193
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/increasing/marker/line/_width.py
@@ -0,0 +1,19 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self,
+        plotly_name="width",
+        parent_name="waterfall.increasing.marker.line",
+        **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/__init__.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/__init__.py
index 6366aead6cd..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="waterfall.insidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="waterfall.insidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="waterfall.insidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="waterfall.insidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="waterfall.insidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.insidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_color.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_color.py
new file mode 100644
index 00000000000..c91d49b9dc0
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.insidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..41952c9215b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="waterfall.insidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_family.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_family.py
new file mode 100644
index 00000000000..224a6a354e4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="waterfall.insidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_familysrc.py
new file mode 100644
index 00000000000..72004a2e820
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="waterfall.insidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_size.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_size.py
new file mode 100644
index 00000000000..1e4ef90fcad
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="waterfall.insidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..ca9bec65885
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/insidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="waterfall.insidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/__init__.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/__init__.py
index aba419da7a3..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/__init__.py
@@ -1,100 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="waterfall.outsidetextfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="size", parent_name="waterfall.outsidetextfont", **kwargs
-    ):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="waterfall.outsidetextfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="waterfall.outsidetextfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="waterfall.outsidetextfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.outsidetextfont", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_color.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_color.py
new file mode 100644
index 00000000000..d4dc565bdc4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.outsidetextfont", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_colorsrc.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_colorsrc.py
new file mode 100644
index 00000000000..9f604b28975
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="waterfall.outsidetextfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_family.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_family.py
new file mode 100644
index 00000000000..43bd057b89b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="waterfall.outsidetextfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_familysrc.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_familysrc.py
new file mode 100644
index 00000000000..fba1614edd4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="waterfall.outsidetextfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_size.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_size.py
new file mode 100644
index 00000000000..5f58a20932a
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_size.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="size", parent_name="waterfall.outsidetextfont", **kwargs
+    ):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_sizesrc.py b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_sizesrc.py
new file mode 100644
index 00000000000..9d3d253f498
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/outsidetextfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="waterfall.outsidetextfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/stream/__init__.py b/packages/python/plotly/plotly/validators/waterfall/stream/__init__.py
index 4b910a56346..db8027ed802 100644
--- a/packages/python/plotly/plotly/validators/waterfall/stream/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/stream/__init__.py
@@ -1,32 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._token import TokenValidator
+    from ._maxpoints import MaxpointsValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class TokenValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(self, plotly_name="token", parent_name="waterfall.stream", **kwargs):
-        super(TokenValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "info"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="maxpoints", parent_name="waterfall.stream", **kwargs
-    ):
-        super(MaxpointsValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "calc"),
-            max=kwargs.pop("max", 10000),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/stream/_maxpoints.py b/packages/python/plotly/plotly/validators/waterfall/stream/_maxpoints.py
new file mode 100644
index 00000000000..d33da1cd148
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/stream/_maxpoints.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="maxpoints", parent_name="waterfall.stream", **kwargs
+    ):
+        super(MaxpointsValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            max=kwargs.pop("max", 10000),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/stream/_token.py b/packages/python/plotly/plotly/validators/waterfall/stream/_token.py
new file mode 100644
index 00000000000..e62abcc842b
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/stream/_token.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class TokenValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(self, plotly_name="token", parent_name="waterfall.stream", **kwargs):
+        super(TokenValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "info"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/__init__.py b/packages/python/plotly/plotly/validators/waterfall/textfont/__init__.py
index 0b813ae9517..d333cdc39e6 100644
--- a/packages/python/plotly/plotly/validators/waterfall/textfont/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/__init__.py
@@ -1,96 +1,24 @@
-import _plotly_utils.basevalidators
-
-
-class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="sizesrc", parent_name="waterfall.textfont", **kwargs
-    ):
-        super(SizesrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(self, plotly_name="size", parent_name="waterfall.textfont", **kwargs):
-        super(SizeValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            min=kwargs.pop("min", 1),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="familysrc", parent_name="waterfall.textfont", **kwargs
-    ):
-        super(FamilysrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
-    def __init__(
-        self, plotly_name="family", parent_name="waterfall.textfont", **kwargs
-    ):
-        super(FamilyValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "calc"),
-            no_blank=kwargs.pop("no_blank", True),
-            role=kwargs.pop("role", "style"),
-            strict=kwargs.pop("strict", True),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
-    def __init__(
-        self, plotly_name="colorsrc", parent_name="waterfall.textfont", **kwargs
-    ):
-        super(ColorsrcValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            edit_type=kwargs.pop("edit_type", "none"),
-            role=kwargs.pop("role", "info"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(self, plotly_name="color", parent_name="waterfall.textfont", **kwargs):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", True),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+import sys
+
+if sys.version_info < (3, 7):
+    from ._sizesrc import SizesrcValidator
+    from ._size import SizeValidator
+    from ._familysrc import FamilysrcValidator
+    from ._family import FamilyValidator
+    from ._colorsrc import ColorsrcValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [],
+        [
+            "._sizesrc.SizesrcValidator",
+            "._size.SizeValidator",
+            "._familysrc.FamilysrcValidator",
+            "._family.FamilyValidator",
+            "._colorsrc.ColorsrcValidator",
+            "._color.ColorValidator",
+        ],
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/_color.py b/packages/python/plotly/plotly/validators/waterfall/textfont/_color.py
new file mode 100644
index 00000000000..b6d0acc2888
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/_color.py
@@ -0,0 +1,13 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(self, plotly_name="color", parent_name="waterfall.textfont", **kwargs):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/_colorsrc.py b/packages/python/plotly/plotly/validators/waterfall/textfont/_colorsrc.py
new file mode 100644
index 00000000000..7fc1c49661f
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/_colorsrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="colorsrc", parent_name="waterfall.textfont", **kwargs
+    ):
+        super(ColorsrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/_family.py b/packages/python/plotly/plotly/validators/waterfall/textfont/_family.py
new file mode 100644
index 00000000000..a5abeb1ad96
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/_family.py
@@ -0,0 +1,17 @@
+import _plotly_utils.basevalidators
+
+
+class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
+    def __init__(
+        self, plotly_name="family", parent_name="waterfall.textfont", **kwargs
+    ):
+        super(FamilyValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            no_blank=kwargs.pop("no_blank", True),
+            role=kwargs.pop("role", "style"),
+            strict=kwargs.pop("strict", True),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/_familysrc.py b/packages/python/plotly/plotly/validators/waterfall/textfont/_familysrc.py
new file mode 100644
index 00000000000..22c2086f44e
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/_familysrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="familysrc", parent_name="waterfall.textfont", **kwargs
+    ):
+        super(FamilysrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/_size.py b/packages/python/plotly/plotly/validators/waterfall/textfont/_size.py
new file mode 100644
index 00000000000..7c0653cd070
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/_size.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(self, plotly_name="size", parent_name="waterfall.textfont", **kwargs):
+        super(SizeValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", True),
+            edit_type=kwargs.pop("edit_type", "calc"),
+            min=kwargs.pop("min", 1),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/textfont/_sizesrc.py b/packages/python/plotly/plotly/validators/waterfall/textfont/_sizesrc.py
new file mode 100644
index 00000000000..cb4700ed309
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/textfont/_sizesrc.py
@@ -0,0 +1,14 @@
+import _plotly_utils.basevalidators
+
+
+class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
+    def __init__(
+        self, plotly_name="sizesrc", parent_name="waterfall.textfont", **kwargs
+    ):
+        super(SizesrcValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            edit_type=kwargs.pop("edit_type", "none"),
+            role=kwargs.pop("role", "info"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/__init__.py b/packages/python/plotly/plotly/validators/waterfall/totals/__init__.py
index 64687ae98f7..b5d1334f882 100644
--- a/packages/python/plotly/plotly/validators/waterfall/totals/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/__init__.py
@@ -1,23 +1,10 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._marker import MarkerValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(self, plotly_name="marker", parent_name="waterfall.totals", **kwargs):
-        super(MarkerValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Marker"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the marker color of all intermediate sums
-                and total values.
-            line
-                :class:`plotly.graph_objects.waterfall.totals.m
-                arker.Line` instance or dict with compatible
-                properties
-""",
-            ),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._marker.MarkerValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/_marker.py b/packages/python/plotly/plotly/validators/waterfall/totals/_marker.py
new file mode 100644
index 00000000000..64687ae98f7
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/_marker.py
@@ -0,0 +1,23 @@
+import _plotly_utils.basevalidators
+
+
+class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(self, plotly_name="marker", parent_name="waterfall.totals", **kwargs):
+        super(MarkerValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Marker"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the marker color of all intermediate sums
+                and total values.
+            line
+                :class:`plotly.graph_objects.waterfall.totals.m
+                arker.Line` instance or dict with compatible
+                properties
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/marker/__init__.py b/packages/python/plotly/plotly/validators/waterfall/totals/marker/__init__.py
index ed636030fe1..745b673cac1 100644
--- a/packages/python/plotly/plotly/validators/waterfall/totals/marker/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/marker/__init__.py
@@ -1,41 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._line import LineValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
-    def __init__(
-        self, plotly_name="line", parent_name="waterfall.totals.marker", **kwargs
-    ):
-        super(LineValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            data_class_str=kwargs.pop("data_class_str", "Line"),
-            data_docs=kwargs.pop(
-                "data_docs",
-                """
-            color
-                Sets the line color of all intermediate sums
-                and total values.
-            width
-                Sets the line width of all intermediate sums
-                and total values.
-""",
-            ),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.totals.marker", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._line.LineValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/marker/_color.py b/packages/python/plotly/plotly/validators/waterfall/totals/marker/_color.py
new file mode 100644
index 00000000000..f7553f5df21
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/marker/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.totals.marker", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/marker/_line.py b/packages/python/plotly/plotly/validators/waterfall/totals/marker/_line.py
new file mode 100644
index 00000000000..5cc359e3ae4
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/marker/_line.py
@@ -0,0 +1,24 @@
+import _plotly_utils.basevalidators
+
+
+class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
+    def __init__(
+        self, plotly_name="line", parent_name="waterfall.totals.marker", **kwargs
+    ):
+        super(LineValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            data_class_str=kwargs.pop("data_class_str", "Line"),
+            data_docs=kwargs.pop(
+                "data_docs",
+                """
+            color
+                Sets the line color of all intermediate sums
+                and total values.
+            width
+                Sets the line width of all intermediate sums
+                and total values.
+""",
+            ),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/__init__.py b/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/__init__.py
index 34b4fcc502a..033b675a505 100644
--- a/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/__init__.py
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/__init__.py
@@ -1,33 +1,11 @@
-import _plotly_utils.basevalidators
+import sys
 
+if sys.version_info < (3, 7):
+    from ._width import WidthValidator
+    from ._color import ColorValidator
+else:
+    from _plotly_utils.importers import relative_import
 
-class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
-    def __init__(
-        self, plotly_name="width", parent_name="waterfall.totals.marker.line", **kwargs
-    ):
-        super(WidthValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            min=kwargs.pop("min", 0),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
-
-
-import _plotly_utils.basevalidators
-
-
-class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
-    def __init__(
-        self, plotly_name="color", parent_name="waterfall.totals.marker.line", **kwargs
-    ):
-        super(ColorValidator, self).__init__(
-            plotly_name=plotly_name,
-            parent_name=parent_name,
-            array_ok=kwargs.pop("array_ok", False),
-            edit_type=kwargs.pop("edit_type", "style"),
-            role=kwargs.pop("role", "style"),
-            **kwargs
-        )
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__, [], ["._width.WidthValidator", "._color.ColorValidator"]
+    )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/_color.py b/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/_color.py
new file mode 100644
index 00000000000..419c9023f57
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/_color.py
@@ -0,0 +1,15 @@
+import _plotly_utils.basevalidators
+
+
+class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
+    def __init__(
+        self, plotly_name="color", parent_name="waterfall.totals.marker.line", **kwargs
+    ):
+        super(ColorValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/_width.py b/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/_width.py
new file mode 100644
index 00000000000..c070ccdd383
--- /dev/null
+++ b/packages/python/plotly/plotly/validators/waterfall/totals/marker/line/_width.py
@@ -0,0 +1,16 @@
+import _plotly_utils.basevalidators
+
+
+class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
+    def __init__(
+        self, plotly_name="width", parent_name="waterfall.totals.marker.line", **kwargs
+    ):
+        super(WidthValidator, self).__init__(
+            plotly_name=plotly_name,
+            parent_name=parent_name,
+            array_ok=kwargs.pop("array_ok", False),
+            edit_type=kwargs.pop("edit_type", "style"),
+            min=kwargs.pop("min", 0),
+            role=kwargs.pop("role", "style"),
+            **kwargs
+        )
diff --git a/packages/python/plotly/setup.py b/packages/python/plotly/setup.py
index cc4ceb868a4..e7d36e3080e 100644
--- a/packages/python/plotly/setup.py
+++ b/packages/python/plotly/setup.py
@@ -475,6 +475,7 @@ def run(self):
         "plotly.figure_factory",
         "plotly.data",
         "plotly.express",
+        "plotly.graph_objects",
         "_plotly_utils",
         "_plotly_utils.colors",
         "_plotly_future_",
diff --git a/packages/python/plotly/test_init/README.md b/packages/python/plotly/test_init/README.md
new file mode 100644
index 00000000000..f40abe04837
--- /dev/null
+++ b/packages/python/plotly/test_init/README.md
@@ -0,0 +1,12 @@
+The test_init test the plotly.py initialization logic and must be run individually.
+
+For example, run...
+```
+$ pytest test_init/test_lazy_imports.py
+$ pytest test_init/test_dependencies_not_imported.py
+``` 
+
+instead of ...
+```
+$ pytest test_init
+``` 
diff --git a/packages/python/plotly/test_init/__init__.py b/packages/python/plotly/test_init/__init__.py
new file mode 100644
index 00000000000..6be12326fb5
--- /dev/null
+++ b/packages/python/plotly/test_init/__init__.py
@@ -0,0 +1,6 @@
+import sys
+import pytest
+
+version_skip = pytest.mark.skipif(
+    sys.version_info < (3, 7), reason="Python version < 3.7"
+)
diff --git a/packages/python/plotly/test_init/test_dependencies_not_imported.py b/packages/python/plotly/test_init/test_dependencies_not_imported.py
new file mode 100644
index 00000000000..ea4f3b82f88
--- /dev/null
+++ b/packages/python/plotly/test_init/test_dependencies_not_imported.py
@@ -0,0 +1,36 @@
+import sys
+from . import version_skip
+
+
+@version_skip
+def test_dependencies_not_imported():
+
+    # Check that creating a figure without using numpy and pandas does not result in
+    # the import of numpy and pandas, even if they are installed.
+    assert "plotly" not in sys.modules
+    assert "numpy" not in sys.modules
+    assert "pandas" not in sys.modules
+
+    import plotly.graph_objects as go
+
+    fig = go.Figure().add_scatter(x=[0], y=[1])
+    fig.to_json()
+
+    assert "plotly" in sys.modules
+    assert "numpy" not in sys.modules
+    assert "pandas" not in sys.modules
+
+    # check that numpy is installed
+    import numpy as np
+
+    fig = go.Figure().add_scatter(x=np.array([0]), y=np.array([1]))
+    fig.to_json()
+    assert "numpy" in sys.modules
+    assert "pandas" not in sys.modules
+
+    # check that pandas is installed
+    import pandas as pd
+
+    fig = go.Figure().add_scatter(x=pd.Series([0]), y=pd.Series([1]))
+    fig.to_json()
+    assert "pandas" in sys.modules
diff --git a/packages/python/plotly/test_init/test_lazy_imports.py b/packages/python/plotly/test_init/test_lazy_imports.py
new file mode 100644
index 00000000000..06b54ce8fd8
--- /dev/null
+++ b/packages/python/plotly/test_init/test_lazy_imports.py
@@ -0,0 +1,39 @@
+import sys
+from . import version_skip
+
+
+@version_skip
+def test_lazy_imports():
+
+    # plotly not imported yet
+    assert "plotly" not in sys.modules
+
+    # Import top-level plotly module
+    import plotly
+
+    assert "plotly" in sys.modules
+
+    # Check that submodules are not auto-imported, but can be be accessed using
+    # attribute syntax
+    submodules = ["graph_objs", "io", "express"]
+    for m in submodules:
+        module_str = "plotly." + m
+        assert module_str not in sys.modules
+
+        getattr(plotly, m)
+        assert module_str in sys.modules
+
+    # Check that constructing and serializing empty figure doesn't auto-import
+    # nested graph objects
+    plotly.graph_objects.Figure().to_json()
+    submodules = [("layout", "title"), ("scatter", "marker"), ("scattergl", "marker")]
+    for module_parts in submodules:
+        module_str = "plotly.graph_objs." + ".".join(module_parts)
+        assert module_str not in sys.modules
+
+        # Use getattr to
+        module = plotly.graph_objects
+        for m in module_parts:
+            module = getattr(module, m)
+
+        assert module_str in sys.modules
diff --git a/packages/python/plotly/tox.ini b/packages/python/plotly/tox.ini
index 095ec2fd3e9..83c22336bef 100644
--- a/packages/python/plotly/tox.ini
+++ b/packages/python/plotly/tox.ini
@@ -98,6 +98,8 @@ basepython={env:PLOTLY_TOX_PYTHON_37:}
 commands=
     python --version
     pytest {posargs} -x plotly/tests/test_core
+    pytest {posargs} -x test_init/test_dependencies_not_imported.py
+    pytest {posargs} -x test_init/test_lazy_imports.py
 
 ; OPTIONAL ENVIRONMENTS
 ;[testenv:py27-optional]